From e7c9bc69d3e8afacb92bbf758451ab73449b4b5f Mon Sep 17 00:00:00 2001 From: Typer_Body Date: Tue, 5 May 2026 15:08:04 +0800 Subject: [PATCH 01/21] =?UTF-8?q?=E5=90=8E=E7=AB=AF=E6=B2=A1=E4=BF=AE?= =?UTF-8?q?=E5=AE=8C=E7=89=88?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- compare_nodes.py | 163 + docs/development/workflow-system.md | 713 +++ docs/user-guide/workflow-guide.md | 425 ++ node_comparison.json | 1468 ++++++ .../controller/groups/workflows/__init__.py | 6 + .../groups/workflows/websocket_chat.py | 253 + .../controller/groups/workflows/workflows.py | 351 ++ src/langbot/pkg/api/http/controller/main.py | 2 + src/langbot/pkg/api/http/service/bot.py | 25 +- src/langbot/pkg/api/http/service/workflow.py | 1132 +++++ src/langbot/pkg/core/app.py | 22 + src/langbot/pkg/core/stages/build_app.py | 4 + src/langbot/pkg/core/stages/load_config.py | 49 + src/langbot/pkg/entity/persistence/bot.py | 7 + .../pkg/entity/persistence/workflow.py | 127 + .../migrations/dbm026_workflow_tables.py | 141 + .../migrations/dbm027_bot_binding_fields.py | 46 + src/langbot/pkg/platform/botmgr.py | 98 +- .../pkg/platform/sources/websocket_adapter.py | 56 + src/langbot/pkg/workflow/__init__.py | 53 + src/langbot/pkg/workflow/entities.py | 278 ++ src/langbot/pkg/workflow/executor.py | 1283 +++++ src/langbot/pkg/workflow/node.py | 280 ++ src/langbot/pkg/workflow/nodes/__init__.py | 91 + .../pkg/workflow/nodes/call_pipeline.py | 36 + .../pkg/workflow/nodes/code_executor.py | 73 + src/langbot/pkg/workflow/nodes/condition.py | 88 + src/langbot/pkg/workflow/nodes/coze_bot.py | 49 + .../pkg/workflow/nodes/cron_trigger.py | 39 + .../pkg/workflow/nodes/data_transform.py | 81 + .../pkg/workflow/nodes/database_query.py | 52 + .../workflow/nodes/dify_knowledge_query.py | 47 + .../pkg/workflow/nodes/dify_workflow.py | 49 + src/langbot/pkg/workflow/nodes/end.py | 45 + .../pkg/workflow/nodes/event_trigger.py | 41 + .../pkg/workflow/nodes/http_request.py | 70 + src/langbot/pkg/workflow/nodes/iterator.py | 60 + .../pkg/workflow/nodes/knowledge_retrieval.py | 34 + .../pkg/workflow/nodes/langflow_flow.py | 47 + src/langbot/pkg/workflow/nodes/llm_call.py | 163 + src/langbot/pkg/workflow/nodes/loop.py | 62 + src/langbot/pkg/workflow/nodes/mcp_tool.py | 70 + .../pkg/workflow/nodes/memory_store.py | 103 + src/langbot/pkg/workflow/nodes/merge.py | 65 + .../pkg/workflow/nodes/message_trigger.py | 56 + .../pkg/workflow/nodes/n8n_workflow.py | 47 + .../pkg/workflow/nodes/opening_statement.py | 37 + src/langbot/pkg/workflow/nodes/parallel.py | 49 + .../pkg/workflow/nodes/parameter_extractor.py | 40 + src/langbot/pkg/workflow/nodes/plugin_call.py | 42 + .../pkg/workflow/nodes/question_classifier.py | 43 + .../pkg/workflow/nodes/redis_operation.py | 53 + .../pkg/workflow/nodes/reply_message.py | 95 + .../pkg/workflow/nodes/send_message.py | 36 + .../pkg/workflow/nodes/set_variable.py | 64 + src/langbot/pkg/workflow/nodes/store_data.py | 45 + src/langbot/pkg/workflow/nodes/switch.py | 64 + .../pkg/workflow/nodes/variable_aggregator.py | 51 + src/langbot/pkg/workflow/nodes/wait.py | 45 + .../pkg/workflow/nodes/webhook_trigger.py | 40 + src/langbot/pkg/workflow/registry.py | 161 + src/langbot/pkg/workflow/safe_eval.py | 151 + .../metadata/nodes/call_pipeline.yaml | 74 + .../metadata/nodes/code_executor.yaml | 73 + .../templates/metadata/nodes/condition.yaml | 122 + .../templates/metadata/nodes/coze_bot.yaml | 122 + .../metadata/nodes/cron_trigger.yaml | 80 + .../metadata/nodes/data_transform.yaml | 67 + .../metadata/nodes/database_query.yaml | 110 + .../metadata/nodes/dify_knowledge_query.yaml | 74 + .../metadata/nodes/dify_workflow.yaml | 120 + src/langbot/templates/metadata/nodes/end.yaml | 48 + .../metadata/nodes/event_trigger.yaml | 84 + .../metadata/nodes/http_request.yaml | 157 + .../templates/metadata/nodes/iterator.yaml | 75 + .../metadata/nodes/knowledge_retrieval.yaml | 111 + .../metadata/nodes/langflow_flow.yaml | 107 + .../templates/metadata/nodes/llm_call.yaml | 150 + .../templates/metadata/nodes/loop.yaml | 112 + .../templates/metadata/nodes/mcp_tool.yaml | 83 + .../metadata/nodes/memory_store.yaml | 94 + .../templates/metadata/nodes/merge.yaml | 72 + .../metadata/nodes/message_trigger.yaml | 100 + .../metadata/nodes/n8n_workflow.yaml | 192 + .../metadata/nodes/opening_statement.yaml | 57 + .../templates/metadata/nodes/parallel.yaml | 77 + .../metadata/nodes/parameter_extractor.yaml | 87 + .../metadata/nodes/question_classifier.yaml | 87 + .../metadata/nodes/redis_operation.yaml | 113 + .../metadata/nodes/reply_message.yaml | 75 + .../metadata/nodes/send_message.yaml | 95 + .../metadata/nodes/set_variable.yaml | 59 + .../templates/metadata/nodes/store_data.yaml | 65 + .../templates/metadata/nodes/switch.yaml | 78 + .../metadata/nodes/variable_aggregator.yaml | 48 + .../templates/metadata/nodes/wait.yaml | 65 + .../metadata/nodes/webhook_trigger.yaml | 138 + tests/unit_tests/workflow/__init__.py | 0 tests/unit_tests/workflow/test_executor.py | 351 ++ tests/unit_tests/workflow/test_registry.py | 133 + tests/unit_tests/workflow/test_safe_eval.py | 191 + uv.lock | 4120 +++++++++-------- web/package.json | 4 +- web/pnpm-lock.yaml | 148 + .../home/bots/components/bot-form/BotForm.tsx | 128 +- .../dynamic-form/DynamicFormComponent.tsx | 103 +- .../dynamic-form/DynamicFormItemComponent.tsx | 190 +- .../dynamic-form/DynamicFormItemConfig.ts | 2 +- .../dynamic-form/N8nAuthFormComponent.tsx | 46 +- .../components/home-sidebar/HomeSidebar.tsx | 32 +- .../home-sidebar/SidebarDataContext.tsx | 25 + .../home-sidebar/sidbarConfigList.tsx | 21 + .../UnifiedBindingSelector.tsx | 235 + .../unified-binding-selector/index.ts | 5 + .../home/workflows/WorkflowDetailContent.tsx | 476 ++ .../workflow-debug-dialog/AtBadge.tsx | 31 + .../ImagePreviewDialog.tsx | 52 + .../WorkflowDebugDialog.tsx | 959 ++++ .../workflow-debugger/WorkflowDebugger.tsx | 716 +++ .../components/workflow-debugger/index.ts | 1 + .../workflow-editor/NodePalette.tsx | 334 ++ .../workflow-editor/PropertyPanel.tsx | 713 +++ .../WorkflowEditorComponent.tsx | 691 +++ .../workflow-editor/WorkflowNodeComponent.tsx | 354 ++ .../components/workflow-editor/index.ts | 7 + .../node-configs/action-configs.ts | 1047 +++++ .../node-configs/ai-configs.ts | 749 +++ .../node-configs/control-configs.ts | 926 ++++ .../workflow-editor/node-configs/index.ts | 256 + .../node-configs/integration-configs.ts | 685 +++ .../node-configs/process-configs.ts | 786 ++++ .../node-configs/trigger-configs.ts | 459 ++ .../workflow-editor/node-configs/types.ts | 117 + .../workflow-editor/workflow-constants.ts | 277 ++ .../workflow-editor/workflow-i18n.ts | 76 + .../workflow-editor/workflow-node-metadata.ts | 179 + .../WorkflowExecutionsTab.tsx | 722 +++ .../workflow-form/WorkflowFormComponent.tsx | 201 + web/src/app/home/workflows/page.tsx | 19 + .../home/workflows/store/useWorkflowStore.ts | 567 +++ web/src/app/infra/entities/api/index.ts | 176 + web/src/app/infra/entities/form/dynamic.ts | 3 +- web/src/app/infra/entities/workflow/index.ts | 216 + web/src/app/infra/http/BackendClient.ts | 262 ++ .../websocket/WorkflowWebSocketClient.ts | 328 ++ web/src/components/ui/scroll-area.tsx | 2 +- web/src/i18n/I18nProvider.tsx | 5 +- web/src/i18n/locales/en-US.ts | 810 ++++ web/src/i18n/locales/es-ES.ts | 720 +++ web/src/i18n/locales/ja-JP.ts | 720 +++ web/src/i18n/locales/ru-RU.ts | 720 +++ web/src/i18n/locales/th-TH.ts | 720 +++ web/src/i18n/locales/vi-VN.ts | 720 +++ web/src/i18n/locales/zh-Hans.ts | 864 ++++ web/src/i18n/locales/zh-Hant.ts | 720 +++ web/src/router.tsx | 11 + 156 files changed, 34676 insertions(+), 2192 deletions(-) create mode 100644 compare_nodes.py create mode 100644 docs/development/workflow-system.md create mode 100644 docs/user-guide/workflow-guide.md create mode 100644 node_comparison.json create mode 100644 src/langbot/pkg/api/http/controller/groups/workflows/__init__.py create mode 100644 src/langbot/pkg/api/http/controller/groups/workflows/websocket_chat.py create mode 100644 src/langbot/pkg/api/http/controller/groups/workflows/workflows.py create mode 100644 src/langbot/pkg/api/http/service/workflow.py create mode 100644 src/langbot/pkg/entity/persistence/workflow.py create mode 100644 src/langbot/pkg/persistence/migrations/dbm026_workflow_tables.py create mode 100644 src/langbot/pkg/persistence/migrations/dbm027_bot_binding_fields.py create mode 100644 src/langbot/pkg/workflow/__init__.py create mode 100644 src/langbot/pkg/workflow/entities.py create mode 100644 src/langbot/pkg/workflow/executor.py create mode 100644 src/langbot/pkg/workflow/node.py create mode 100644 src/langbot/pkg/workflow/nodes/__init__.py create mode 100644 src/langbot/pkg/workflow/nodes/call_pipeline.py create mode 100644 src/langbot/pkg/workflow/nodes/code_executor.py create mode 100644 src/langbot/pkg/workflow/nodes/condition.py create mode 100644 src/langbot/pkg/workflow/nodes/coze_bot.py create mode 100644 src/langbot/pkg/workflow/nodes/cron_trigger.py create mode 100644 src/langbot/pkg/workflow/nodes/data_transform.py create mode 100644 src/langbot/pkg/workflow/nodes/database_query.py create mode 100644 src/langbot/pkg/workflow/nodes/dify_knowledge_query.py create mode 100644 src/langbot/pkg/workflow/nodes/dify_workflow.py create mode 100644 src/langbot/pkg/workflow/nodes/end.py create mode 100644 src/langbot/pkg/workflow/nodes/event_trigger.py create mode 100644 src/langbot/pkg/workflow/nodes/http_request.py create mode 100644 src/langbot/pkg/workflow/nodes/iterator.py create mode 100644 src/langbot/pkg/workflow/nodes/knowledge_retrieval.py create mode 100644 src/langbot/pkg/workflow/nodes/langflow_flow.py create mode 100644 src/langbot/pkg/workflow/nodes/llm_call.py create mode 100644 src/langbot/pkg/workflow/nodes/loop.py create mode 100644 src/langbot/pkg/workflow/nodes/mcp_tool.py create mode 100644 src/langbot/pkg/workflow/nodes/memory_store.py create mode 100644 src/langbot/pkg/workflow/nodes/merge.py create mode 100644 src/langbot/pkg/workflow/nodes/message_trigger.py create mode 100644 src/langbot/pkg/workflow/nodes/n8n_workflow.py create mode 100644 src/langbot/pkg/workflow/nodes/opening_statement.py create mode 100644 src/langbot/pkg/workflow/nodes/parallel.py create mode 100644 src/langbot/pkg/workflow/nodes/parameter_extractor.py create mode 100644 src/langbot/pkg/workflow/nodes/plugin_call.py create mode 100644 src/langbot/pkg/workflow/nodes/question_classifier.py create mode 100644 src/langbot/pkg/workflow/nodes/redis_operation.py create mode 100644 src/langbot/pkg/workflow/nodes/reply_message.py create mode 100644 src/langbot/pkg/workflow/nodes/send_message.py create mode 100644 src/langbot/pkg/workflow/nodes/set_variable.py create mode 100644 src/langbot/pkg/workflow/nodes/store_data.py create mode 100644 src/langbot/pkg/workflow/nodes/switch.py create mode 100644 src/langbot/pkg/workflow/nodes/variable_aggregator.py create mode 100644 src/langbot/pkg/workflow/nodes/wait.py create mode 100644 src/langbot/pkg/workflow/nodes/webhook_trigger.py create mode 100644 src/langbot/pkg/workflow/registry.py create mode 100644 src/langbot/pkg/workflow/safe_eval.py create mode 100644 src/langbot/templates/metadata/nodes/call_pipeline.yaml create mode 100644 src/langbot/templates/metadata/nodes/code_executor.yaml create mode 100644 src/langbot/templates/metadata/nodes/condition.yaml create mode 100644 src/langbot/templates/metadata/nodes/coze_bot.yaml create mode 100644 src/langbot/templates/metadata/nodes/cron_trigger.yaml create mode 100644 src/langbot/templates/metadata/nodes/data_transform.yaml create mode 100644 src/langbot/templates/metadata/nodes/database_query.yaml create mode 100644 src/langbot/templates/metadata/nodes/dify_knowledge_query.yaml create mode 100644 src/langbot/templates/metadata/nodes/dify_workflow.yaml create mode 100644 src/langbot/templates/metadata/nodes/end.yaml create mode 100644 src/langbot/templates/metadata/nodes/event_trigger.yaml create mode 100644 src/langbot/templates/metadata/nodes/http_request.yaml create mode 100644 src/langbot/templates/metadata/nodes/iterator.yaml create mode 100644 src/langbot/templates/metadata/nodes/knowledge_retrieval.yaml create mode 100644 src/langbot/templates/metadata/nodes/langflow_flow.yaml create mode 100644 src/langbot/templates/metadata/nodes/llm_call.yaml create mode 100644 src/langbot/templates/metadata/nodes/loop.yaml create mode 100644 src/langbot/templates/metadata/nodes/mcp_tool.yaml create mode 100644 src/langbot/templates/metadata/nodes/memory_store.yaml create mode 100644 src/langbot/templates/metadata/nodes/merge.yaml create mode 100644 src/langbot/templates/metadata/nodes/message_trigger.yaml create mode 100644 src/langbot/templates/metadata/nodes/n8n_workflow.yaml create mode 100644 src/langbot/templates/metadata/nodes/opening_statement.yaml create mode 100644 src/langbot/templates/metadata/nodes/parallel.yaml create mode 100644 src/langbot/templates/metadata/nodes/parameter_extractor.yaml create mode 100644 src/langbot/templates/metadata/nodes/question_classifier.yaml create mode 100644 src/langbot/templates/metadata/nodes/redis_operation.yaml create mode 100644 src/langbot/templates/metadata/nodes/reply_message.yaml create mode 100644 src/langbot/templates/metadata/nodes/send_message.yaml create mode 100644 src/langbot/templates/metadata/nodes/set_variable.yaml create mode 100644 src/langbot/templates/metadata/nodes/store_data.yaml create mode 100644 src/langbot/templates/metadata/nodes/switch.yaml create mode 100644 src/langbot/templates/metadata/nodes/variable_aggregator.yaml create mode 100644 src/langbot/templates/metadata/nodes/wait.yaml create mode 100644 src/langbot/templates/metadata/nodes/webhook_trigger.yaml create mode 100644 tests/unit_tests/workflow/__init__.py create mode 100644 tests/unit_tests/workflow/test_executor.py create mode 100644 tests/unit_tests/workflow/test_registry.py create mode 100644 tests/unit_tests/workflow/test_safe_eval.py create mode 100644 web/src/app/home/components/unified-binding-selector/UnifiedBindingSelector.tsx create mode 100644 web/src/app/home/components/unified-binding-selector/index.ts create mode 100644 web/src/app/home/workflows/WorkflowDetailContent.tsx create mode 100644 web/src/app/home/workflows/components/workflow-debug-dialog/AtBadge.tsx create mode 100644 web/src/app/home/workflows/components/workflow-debug-dialog/ImagePreviewDialog.tsx create mode 100644 web/src/app/home/workflows/components/workflow-debug-dialog/WorkflowDebugDialog.tsx create mode 100644 web/src/app/home/workflows/components/workflow-debugger/WorkflowDebugger.tsx create mode 100644 web/src/app/home/workflows/components/workflow-debugger/index.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/NodePalette.tsx create mode 100644 web/src/app/home/workflows/components/workflow-editor/PropertyPanel.tsx create mode 100644 web/src/app/home/workflows/components/workflow-editor/WorkflowEditorComponent.tsx create mode 100644 web/src/app/home/workflows/components/workflow-editor/WorkflowNodeComponent.tsx create mode 100644 web/src/app/home/workflows/components/workflow-editor/index.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/node-configs/action-configs.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/node-configs/ai-configs.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/node-configs/control-configs.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/node-configs/index.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/node-configs/integration-configs.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/node-configs/process-configs.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/node-configs/trigger-configs.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/node-configs/types.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/workflow-constants.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/workflow-i18n.ts create mode 100644 web/src/app/home/workflows/components/workflow-editor/workflow-node-metadata.ts create mode 100644 web/src/app/home/workflows/components/workflow-executions/WorkflowExecutionsTab.tsx create mode 100644 web/src/app/home/workflows/components/workflow-form/WorkflowFormComponent.tsx create mode 100644 web/src/app/home/workflows/page.tsx create mode 100644 web/src/app/home/workflows/store/useWorkflowStore.ts create mode 100644 web/src/app/infra/entities/workflow/index.ts create mode 100644 web/src/app/infra/websocket/WorkflowWebSocketClient.ts diff --git a/compare_nodes.py b/compare_nodes.py new file mode 100644 index 000000000..1567415e4 --- /dev/null +++ b/compare_nodes.py @@ -0,0 +1,163 @@ +#!/usr/bin/env python3 +"""Compare YAML node definitions with frontend node-configs.""" + +import yaml +import os +import re +import json + +# 1. Parse YAML files +yaml_dir = 'src/langbot/templates/metadata/nodes' +yaml_nodes = {} + +for filename in sorted(os.listdir(yaml_dir)): + if filename.endswith('.yaml'): + filepath = os.path.join(yaml_dir, filename) + with open(filepath, 'r') as f: + data = yaml.safe_load(f) + node_name = data.get('name', filename.replace('.yaml', '')) + yaml_nodes[node_name] = { + 'category': data.get('category', ''), + 'inputs': [i['name'] for i in data.get('inputs', [])], + 'outputs': [o['name'] for o in data.get('outputs', [])], + 'config': [c['name'] for c in data.get('config', [])] + } + +# 2. Parse frontend node-configs TypeScript files +node_configs_dir = 'web/src/app/home/workflows/components/workflow-editor/node-configs' + +frontend_nodes = {} + +def parse_ts_file(filepath): + """Parse a TypeScript file to extract node configurations.""" + with open(filepath, 'r') as f: + content = f.read() + + # Find all node type definitions + # Pattern: nodeType: 'xxx' + node_type_pattern = r"nodeType:\s*'([^']+)'" + node_types = re.findall(node_type_pattern, content) + + # For each node type, extract inputs, outputs, and config + for node_type in node_types: + # Find the config object for this node type + # Look for the section between this nodeType and the next one or end of object + pattern = rf"nodeType:\s*'({re.escape(node_type)})'.*?(?=nodeType:|export\s+(const|function)|$)" + match = re.search(pattern, content, re.DOTALL) + + if match: + section = match.group(0) + + # Extract inputs + inputs = re.findall(r"createInput\('([^']+)'", section) + + # Extract outputs + outputs = re.findall(r"createOutput\('([^']+)'", section) + + # Extract config names + config_names = re.findall(r"name:\s*'([^']+)'", section) + # Remove duplicates while preserving order + seen = set() + unique_config = [] + for c in config_names: + if c not in seen: + seen.add(c) + unique_config.append(c) + + frontend_nodes[node_type] = { + 'inputs': inputs, + 'outputs': outputs, + 'config': unique_config + } + +# Parse all config files +for filename in os.listdir(node_configs_dir): + if filename.endswith('.ts') and filename != 'types.ts' and filename != 'index.ts': + filepath = os.path.join(node_configs_dir, filename) + parse_ts_file(filepath) + +# 3. Compare and report differences +print("=" * 80) +print("WORKFLOW NODE COMPARISON REPORT: YAML vs Frontend") +print("=" * 80) + +all_node_types = sorted(set(list(yaml_nodes.keys()) + list(frontend_nodes.keys()))) + +discrepancies = [] + +for node_type in all_node_types: + yaml_def = yaml_nodes.get(node_type) + frontend_def = frontend_nodes.get(node_type) + + node_discrepancies = [] + + if not yaml_def: + print(f"\n⚠️ {node_type}: ONLY in frontend (not in YAML)") + continue + if not frontend_def: + print(f"\n⚠️ {node_type}: ONLY in YAML (not in frontend)") + continue + + # Compare inputs + yaml_inputs = set(yaml_def['inputs']) + frontend_inputs = set(frontend_def['inputs']) + if yaml_inputs != frontend_inputs: + only_yaml = yaml_inputs - frontend_inputs + only_frontend = frontend_inputs - yaml_inputs + node_discrepancies.append({ + 'type': 'inputs', + 'only_yaml': list(only_yaml), + 'only_frontend': list(only_frontend) + }) + + # Compare outputs + yaml_outputs = set(yaml_def['outputs']) + frontend_outputs = set(frontend_def['outputs']) + if yaml_outputs != frontend_outputs: + only_yaml = yaml_outputs - frontend_outputs + only_frontend = frontend_outputs - yaml_outputs + node_discrepancies.append({ + 'type': 'outputs', + 'only_yaml': list(only_yaml), + 'only_frontend': list(only_frontend) + }) + + # Compare config + yaml_config = set(yaml_def['config']) + frontend_config = set(frontend_def['config']) + if yaml_config != frontend_config: + only_yaml = yaml_config - frontend_config + only_frontend = frontend_config - yaml_config + node_discrepancies.append({ + 'type': 'config', + 'only_yaml': list(only_yaml), + 'only_frontend': list(only_frontend) + }) + + if node_discrepancies: + print(f"\n❌ {node_type} ({yaml_def['category']}): HAS DISCREPANCIES") + for d in node_discrepancies: + print(f" {d['type']}:") + if d['only_yaml']: + print(f" Only in YAML: {d['only_yaml']}") + if d['only_frontend']: + print(f" Only in Frontend: {d['only_frontend']}") + discrepancies.append((node_type, node_discrepancies)) + else: + print(f"\n✅ {node_type} ({yaml_def['category']}): OK") + +print(f"\n{'=' * 80}") +print(f"SUMMARY: {len(discrepancies)} nodes with discrepancies out of {len(all_node_types)} total") +print(f"{'=' * 80}") + +# Output as JSON for further processing +output = { + 'yaml_nodes': {k: v for k, v in yaml_nodes.items()}, + 'frontend_nodes': {k: v for k, v in frontend_nodes.items()}, + 'discrepancies': {k: v for k, v in discrepancies} +} + +with open('node_comparison.json', 'w') as f: + json.dump(output, f, indent=2) + +print(f"\nDetailed comparison saved to node_comparison.json") diff --git a/docs/development/workflow-system.md b/docs/development/workflow-system.md new file mode 100644 index 000000000..d61c340c6 --- /dev/null +++ b/docs/development/workflow-system.md @@ -0,0 +1,713 @@ +# Workflow 系统开发者文档 + +本文档面向 LangBot 开发者，详细介绍 Workflow 系统的技术架构、核心组件和扩展方法。 + +## 目录 + +- [系统架构概述](#系统架构概述) +- [目录结构](#目录结构) +- [核心组件](#核心组件) + - [后端模块](#后端模块) + - [前端组件](#前端组件) +- [数据库表结构](#数据库表结构) +- [API 接口文档](#api-接口文档) +- [如何添加新节点类型](#如何添加新节点类型) +- [调试功能实现](#调试功能实现) + +--- + +## 系统架构概述 + +Workflow 系统采用前后端分离架构，主要包含以下层次： + +``` +┌─────────────────────────────────────────────────────────────┐ +│ 前端层 (React) │ +│ ┌─────────────┬──────────────┬──────────────┬───────────┐ │ +│ │ 可视化编辑器 │ 节点面板 │ 属性面板 │ 调试器 │ │ +│ │ ReactFlow │ NodePalette │ PropertyPanel│ Debugger │ │ +│ └─────────────┴──────────────┴──────────────┴───────────┘ │ +├─────────────────────────────────────────────────────────────┤ +│ API 层 (Quart) │ +│ ┌─────────────┬──────────────┬──────────────────────────┐ │ +│ │ Workflow API│ Debug API │ Node Types API │ │ +│ └─────────────┴──────────────┴──────────────────────────┘ │ +├─────────────────────────────────────────────────────────────┤ +│ 核心引擎层 (Python) │ +│ ┌─────────────┬──────────────┬──────────────┬───────────┐ │ +│ │ Executor │ Registry │ Node │ Entities │ │ +│ │ 执行引擎 │ 节点注册表 │ 节点基类 │ 数据结构 │ │ +│ └─────────────┴──────────────┴──────────────┴───────────┘ │ +├─────────────────────────────────────────────────────────────┤ +│ 存储层 (SQLAlchemy) │ +│ ┌─────────────┬──────────────┬──────────────────────────┐ │ +│ │ Workflow │ Executions │ Triggers │ │ +│ └─────────────┴──────────────┴──────────────────────────┘ │ +└─────────────────────────────────────────────────────────────┘ +``` + +--- + +## 目录结构 + +### 后端代码结构 + +``` +LangBot/src/langbot/pkg/ +├── workflow/ # Workflow 核心模块 +│ ├── __init__.py # 模块初始化，导出公共接口 +│ ├── entities.py # 数据实体定义 +│ ├── executor.py # 执行引擎 +│ ├── node.py # 节点基类和装饰器 +│ ├── registry.py # 节点类型注册表 +│ └── nodes/ # 内置节点实现 +│ ├── __init__.py # 注册所有内置节点 +│ ├── trigger.py # 触发节点 +│ ├── process.py # 处理节点 +│ ├── control.py # 控制节点 +│ └── action.py # 动作节点 +├── entity/persistence/ +│ └── workflow.py # 数据库模型 +├── api/http/ +│ ├── controller/groups/workflows/ +│ │ └── workflows.py # API 路由控制器 +│ └── service/ +│ └── workflow.py # 业务逻辑服务 +└── persistence/migrations/ + └── dbm026_workflow_tables.py # 数据库迁移 +``` + +### 前端代码结构 + +``` +LangBot/web/src/app/home/workflows/ +├── page.tsx # Workflow 列表页 +├── WorkflowDetailContent.tsx # 详情页内容 +├── store/ +│ └── useWorkflowStore.ts # Zustand 状态管理 +└── components/ + ├── workflow-editor/ # 可视化编辑器 + │ ├── index.ts # 导出 + │ ├── WorkflowEditorComponent.tsx # 主编辑器组件 + │ ├── WorkflowNodeComponent.tsx # 自定义节点组件 + │ ├── NodePalette.tsx # 节点面板 + │ ├── PropertyPanel.tsx # 属性面板 + │ └── node-configs/ # 节点配置元数据 + │ ├── types.ts # 配置类型定义 + │ ├── trigger-configs.ts + │ ├── ai-configs.ts + │ ├── process-configs.ts + │ ├── control-configs.ts + │ ├── action-configs.ts + │ ├── integration-configs.ts + │ └── index.ts # 配置汇总 + ├── workflow-debugger/ # 调试器组件 + │ ├── index.ts + │ └── WorkflowDebugger.tsx + ├── workflow-form/ # 表单组件 + │ └── WorkflowFormComponent.tsx + └── workflow-executions/ # 执行历史组件 + └── WorkflowExecutionsTab.tsx +``` + +--- + +## 核心组件 + +### 后端模块 + +#### 1. 执行引擎 (WorkflowExecutor) + +位置：[`executor.py`](../../src/langbot/pkg/workflow/executor.py) + +执行引擎负责工作流的实际执行，包括： + +- **拓扑排序**：确定节点执行顺序 +- **节点执行**：调用各节点的 execute 方法 +- **控制流处理**：处理条件分支、循环、并行执行 +- **错误处理**：支持重试机制 + +```python +class WorkflowExecutor: + async def execute( + self, + workflow: WorkflowDefinition, + context: ExecutionContext, + start_node_id: Optional[str] = None + ) -> ExecutionContext: + """执行工作流""" + # 1. 构建执行图 + # 2. 初始化节点状态 + # 3. 找到起始节点 + # 4. 按拓扑顺序执行 +``` + +**调试执行器 (DebugWorkflowExecutor)** + +继承自 WorkflowExecutor，增加了调试支持： + +- 断点支持 +- 单步执行 +- 暂停/继续 +- 实时日志 + +```python +class DebugWorkflowExecutor(WorkflowExecutor): + async def execute_debug( + self, + workflow: WorkflowDefinition, + context: ExecutionContext, + debug_state: DebugExecutionState, + ) -> ExecutionContext: + """调试模式执行""" +``` + +#### 2. 节点注册表 (NodeTypeRegistry) + +位置：[`registry.py`](../../src/langbot/pkg/workflow/registry.py) + +单例模式管理所有节点类型： + +```python +class NodeTypeRegistry: + _instance: Optional['NodeTypeRegistry'] = None + + def register(self, node_type: str, node_class: type[WorkflowNode]): + """注册节点类型""" + + def create_instance(self, node_type: str, node_id: str, config: dict) -> WorkflowNode: + """创建节点实例""" + + def list_all(self) -> list[dict]: + """获取所有节点类型的 Schema""" +``` + +#### 3. 节点基类 (WorkflowNode) + +位置：[`node.py`](../../src/langbot/pkg/workflow/node.py) + +所有节点必须继承此基类： + +```python +class WorkflowNode(abc.ABC): + # 节点元数据 + type_name: str = "" + name: str = "" + description: str = "" + category: str = "misc" + icon: str = "" + + # 端口定义 + inputs: list[NodePort] = [] + outputs: list[NodePort] = [] + + # 配置 Schema + config_schema: list[NodeConfig] = [] + + @abc.abstractmethod + async def execute( + self, + inputs: dict[str, Any], + context: ExecutionContext + ) -> dict[str, Any]: + """执行节点逻辑""" + pass +``` + +#### 4. 数据实体 (entities.py) + +主要数据结构： + +```python +class WorkflowDefinition: + """工作流定义""" + uuid: str + name: str + nodes: list[NodeDefinition] + edges: list[EdgeDefinition] + settings: WorkflowSettings + +class ExecutionContext: + """执行上下文""" + execution_id: str + workflow_id: str + status: ExecutionStatus + variables: dict + node_states: dict[str, NodeState] + history: list[ExecutionStep] +``` + +### 前端组件 + +#### 1. WorkflowEditorComponent + +主编辑器组件，基于 React Flow 实现： + +- **画布交互**：拖拽、缩放、平移 +- **节点连接**：自动验证端口类型 +- **撤销/重做**：基于历史记录栈 +- **复制/粘贴**：支持多选复制 + +关键功能： + +```tsx +function WorkflowEditorInner() { + const { nodes, edges, onNodesChange, onEdgesChange, onConnect } = useWorkflowStore(); + + // 拖放添加节点 + const onDrop = useCallback((event: React.DragEvent) => { + const type = event.dataTransfer.getData('application/reactflow'); + const position = screenToFlowPosition({ x: event.clientX, y: event.clientY }); + addNode(type, position); + }, []); + + // 复制粘贴 + const handleCopy = useCallback(() => { ... }, []); + const handlePaste = useCallback(() => { ... }, []); +} +``` + +#### 2. NodePalette + +节点面板组件，展示可用节点类型： + +```tsx +function NodePalette() { + // 按类别组织节点 + const categories = [ + { id: 'trigger', name: '触发节点', icon: Zap }, + { id: 'ai', name: 'AI 节点', icon: Brain }, + { id: 'process', name: '处理节点', icon: Cpu }, + { id: 'control', name: '控制节点', icon: GitBranch }, + { id: 'action', name: '动作节点', icon: Send }, + { id: 'integration', name: '集成节点', icon: Plug }, + ]; + + // 拖拽开始 + const onDragStart = (event: React.DragEvent, nodeType: string) => { + event.dataTransfer.setData('application/reactflow', nodeType); + }; +} +``` + +#### 3. PropertyPanel + +属性面板组件，动态渲染节点配置表单： + +```tsx +function PropertyPanel() { + const { selectedNodeId, nodes, updateNodeData } = useWorkflowStore(); + + // 根据节点类型获取配置元数据 + const selectedNode = nodes.find(n => n.id === selectedNodeId); + const nodeConfig = getNodeConfig(selectedNode?.data?.nodeType); + + // 动态渲染配置字段 + return ( +
+ {nodeConfig?.fields.map(field => ( + + ))} +
+ ); +} +``` + +#### 4. WorkflowDebugger + +调试器组件，支持实时调试： + +```tsx +function WorkflowDebugger({ workflowUuid, workflow }) { + const [debugState, setDebugState] = useState('idle'); + const [executionId, setExecutionId] = useState(''); + const [logs, setLogs] = useState([]); + + // 启动调试 + const startDebug = async () => { + const result = await backendClient.post( + `/api/v1/workflows/${workflowUuid}/debug/start`, + { context, variables, breakpoints } + ); + setExecutionId(result.execution_id); + }; + + // 轮询状态 + useEffect(() => { + if (debugState === 'running') { + const interval = setInterval(fetchState, 500); + return () => clearInterval(interval); + } + }, [debugState]); +} +``` + +#### 5. useWorkflowStore + +Zustand 状态管理： + +```typescript +interface WorkflowState { + nodes: WorkflowNode[]; + edges: WorkflowEdge[]; + selectedNodeId: string | null; + history: HistoryEntry[]; + historyIndex: number; + isDirty: boolean; + + // Actions + addNode: (type: string, position: XYPosition) => void; + updateNodeData: (nodeId: string, data: Partial) => void; + deleteNode: (nodeId: string) => void; + undo: () => void; + redo: () => void; +} + +export const useWorkflowStore = create((set, get) => ({ + // ... state and actions +})); +``` + +--- + +## 数据库表结构 + +### workflows 表 + +```sql +CREATE TABLE workflows ( + uuid VARCHAR(255) PRIMARY KEY, + name VARCHAR(255) NOT NULL, + description TEXT, + emoji VARCHAR(10) DEFAULT '🔄', + version INTEGER DEFAULT 1, + is_enabled BOOLEAN DEFAULT TRUE, + definition JSON NOT NULL, -- 节点和边定义 + global_config JSON DEFAULT '{}', -- 全局配置 + extensions_preferences JSON, -- 插件和 MCP 配置 + created_at TIMESTAMP, + updated_at TIMESTAMP +); +``` + +### workflow_versions 表 + +```sql +CREATE TABLE workflow_versions ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + workflow_uuid VARCHAR(255) NOT NULL, + version INTEGER NOT NULL, + definition JSON NOT NULL, + global_config JSON DEFAULT '{}', + created_at TIMESTAMP, + created_by VARCHAR(255), + UNIQUE(workflow_uuid, version) +); +``` + +### workflow_executions 表 + +```sql +CREATE TABLE workflow_executions ( + uuid VARCHAR(255) PRIMARY KEY, + workflow_uuid VARCHAR(255) NOT NULL, + workflow_version INTEGER NOT NULL, + status VARCHAR(20) NOT NULL, -- pending/running/completed/failed/cancelled + trigger_type VARCHAR(50), + trigger_data JSON, + variables JSON, + start_time TIMESTAMP, + end_time TIMESTAMP, + error TEXT, + created_at TIMESTAMP +); +``` + +### workflow_node_executions 表 + +```sql +CREATE TABLE workflow_node_executions ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + execution_uuid VARCHAR(255) NOT NULL, + node_id VARCHAR(100) NOT NULL, + node_type VARCHAR(50) NOT NULL, + status VARCHAR(20) NOT NULL, + inputs JSON, + outputs JSON, + start_time TIMESTAMP, + end_time TIMESTAMP, + error TEXT, + retry_count INTEGER DEFAULT 0 +); +``` + +### workflow_triggers 表 + +```sql +CREATE TABLE workflow_triggers ( + uuid VARCHAR(255) PRIMARY KEY, + workflow_uuid VARCHAR(255) NOT NULL, + type VARCHAR(50) NOT NULL, -- message/cron/event/webhook + config JSON NOT NULL, + is_enabled BOOLEAN DEFAULT TRUE, + priority INTEGER DEFAULT 0, + created_at TIMESTAMP, + updated_at TIMESTAMP +); +``` + +--- + +## API 接口文档 + +### Workflow CRUD + +| 方法 | 路径 | 描述 | +|-----|------|------| +| GET | `/api/v1/workflows` | 获取工作流列表 | +| POST | `/api/v1/workflows` | 创建工作流 | +| GET | `/api/v1/workflows/:uuid` | 获取单个工作流 | +| PUT | `/api/v1/workflows/:uuid` | 更新工作流 | +| DELETE | `/api/v1/workflows/:uuid` | 删除工作流 | +| POST | `/api/v1/workflows/:uuid/copy` | 复制工作流 | + +### 执行相关 + +| 方法 | 路径 | 描述 | +|-----|------|------| +| POST | `/api/v1/workflows/:uuid/execute` | 手动执行工作流 | +| GET | `/api/v1/workflows/:uuid/executions` | 获取执行记录 | + +### 版本管理 + +| 方法 | 路径 | 描述 | +|-----|------|------| +| GET | `/api/v1/workflows/:uuid/versions` | 获取版本列表 | +| POST | `/api/v1/workflows/:uuid/rollback/:version` | 回滚到指定版本 | + +### 调试 API + +| 方法 | 路径 | 描述 | +|-----|------|------| +| POST | `/api/v1/workflows/:uuid/debug/start` | 启动调试 | +| POST | `/api/v1/workflows/:uuid/debug/:exec_id/pause` | 暂停执行 | +| POST | `/api/v1/workflows/:uuid/debug/:exec_id/resume` | 继续执行 | +| POST | `/api/v1/workflows/:uuid/debug/:exec_id/stop` | 停止执行 | +| POST | `/api/v1/workflows/:uuid/debug/:exec_id/step` | 单步执行 | +| GET | `/api/v1/workflows/:uuid/debug/:exec_id/state` | 获取调试状态 | + +### 节点类型 + +| 方法 | 路径 | 描述 | +|-----|------|------| +| GET | `/api/v1/workflows/_/node-types` | 获取所有节点类型 | +| GET | `/api/v1/workflows/_/node-types/categories` | 按类别获取节点类型 | + +--- + +## 如何添加新节点类型 + +### 步骤 1：创建节点类 + +在 `LangBot/src/langbot/pkg/workflow/nodes/` 下创建或修改文件： + +```python +from ..node import WorkflowNode, NodePort, NodeConfig, workflow_node +from ..entities import ExecutionContext + +@workflow_node('my_custom_node') +class MyCustomNode(WorkflowNode): + """自定义节点""" + + # 元数据 + type_name = 'my_custom_node' + name = '我的自定义节点' + description = '这是一个自定义节点' + category = 'process' # trigger/process/control/action/integration + icon = '🔧' + + # 输入端口 + inputs = [ + NodePort(name='input', type='string', description='输入数据', required=True), + ] + + # 输出端口 + outputs = [ + NodePort(name='output', type='string', description='输出数据'), + ] + + # 配置字段 + config_schema = [ + NodeConfig( + name='option', + type='select', + required=True, + options=['选项A', '选项B'], + description='选择一个选项' + ), + NodeConfig( + name='value', + type='string', + required=False, + default='默认值', + description='配置值' + ), + ] + + async def execute( + self, + inputs: dict[str, Any], + context: ExecutionContext + ) -> dict[str, Any]: + """执行节点逻辑""" + input_data = inputs.get('input', '') + option = self.get_config('option') + value = self.get_config('value', '') + + # 处理逻辑 + result = f"处理: {input_data} with {option} and {value}" + + return {'output': result} +``` + +### 步骤 2：注册节点 + +在 `LangBot/src/langbot/pkg/workflow/nodes/__init__.py` 中导入： + +```python +from .process import ( + CodeExecutorNode, + HttpRequestNode, + DataTransformNode, + MyCustomNode, # 添加新节点 +) +``` + +### 步骤 3：添加前端配置 + +在 `LangBot/web/src/app/home/workflows/components/workflow-editor/node-configs/` 目录下添加配置： + +```typescript +// process-configs.ts +export const processNodeConfigs: NodeConfigMap = { + // ... 其他配置 + + my_custom_node: { + type: 'my_custom_node', + label: 'workflows.nodes.myCustomNode', + description: 'workflows.nodes.myCustomNodeDesc', + icon: 'Wrench', + category: 'process', + fields: [ + { + name: 'option', + type: 'select', + label: 'workflows.fields.option', + required: true, + options: [ + { value: '选项A', label: '选项 A' }, + { value: '选项B', label: '选项 B' }, + ], + }, + { + name: 'value', + type: 'string', + label: 'workflows.fields.value', + required: false, + defaultValue: '默认值', + }, + ], + }, +}; +``` + +### 步骤 4：添加国际化 + +在 `LangBot/web/src/i18n/locales/` 中添加翻译： + +```typescript +// zh-Hans.ts +workflows: { + nodes: { + myCustomNode: '我的自定义节点', + myCustomNodeDesc: '这是一个自定义节点', + }, + fields: { + option: '选项', + value: '值', + }, +} +``` + +--- + +## 调试功能实现 + +### 后端调试状态管理 + +```python +class DebugExecutionState: + """调试执行状态""" + + def __init__(self, execution_id: str, breakpoints: list[str] = None): + self.execution_id = execution_id + self.status: str = 'running' + self.is_paused: bool = False + self.is_stopped: bool = False + self.breakpoints: set[str] = set(breakpoints or []) + self.logs: list[ExecutionLog] = [] + self._pause_event = asyncio.Event() + + def pause(self): + """暂停执行""" + self.is_paused = True + self._pause_event.clear() + + def resume(self): + """继续执行""" + self.is_paused = False + self._pause_event.set() + + async def wait_if_paused(self): + """如果暂停则等待""" + if self.is_paused: + await self._pause_event.wait() +``` + +### 前端调试流程 + +1. **设置断点**：点击节点设置断点 +2. **启动调试**：调用 `/debug/start` 启动调试执行 +3. **轮询状态**：定期调用 `/debug/:id/state` 获取状态 +4. **控制执行**：调用 pause/resume/step/stop 控制执行 +5. **查看日志**：实时显示执行日志和节点状态 + +```typescript +// 调试状态轮询 +const fetchDebugState = async () => { + const state = await backendClient.get( + `/api/v1/workflows/${workflowUuid}/debug/${executionId}/state` + ); + + // 更新节点状态 + setNodeStates(state.node_states); + + // 追加新日志 + if (state.new_logs.length > 0) { + setLogs(prev => [...prev, ...state.new_logs]); + } + + // 检查完成状态 + if (state.status === 'completed' || state.status === 'error') { + setDebugState('idle'); + } +}; +``` + +--- + +## 扩展阅读 + +- [Workflow 功能设计文档](../../../plans/langbot-workflow-design.md) +- [用户使用指南](../user-guide/workflow-guide.md) +- [API 认证文档](../API_KEY_AUTH.md) diff --git a/docs/user-guide/workflow-guide.md b/docs/user-guide/workflow-guide.md new file mode 100644 index 000000000..c7dd4abfa --- /dev/null +++ b/docs/user-guide/workflow-guide.md @@ -0,0 +1,425 @@ +# Workflow 用户指南 + +本文档帮助您了解和使用 LangBot 的 Workflow（工作流）功能，通过可视化方式构建自动化的对话处理流程。 + +## 目录 + +- [功能介绍](#功能介绍) +- [快速入门](#快速入门) +- [节点类型说明](#节点类型说明) +- [编辑器使用指南](#编辑器使用指南) +- [调试功能](#调试功能) +- [常见问题解答](#常见问题解答) + +--- + +## 功能介绍 + +### 什么是 Workflow？ + +Workflow（工作流）是 LangBot 提供的可视化自动化编排系统。通过拖拽节点、连接边的方式，您可以： + +- 📝 **构建复杂的对话流程**：使用条件分支、循环等控制节点 +- 🤖 **调用 AI 能力**：集成 LLM、知识库检索、参数提取 +- 🔗 **连接外部服务**：集成 Dify、n8n、Coze 等平台 +- ⚡ **自动化任务执行**：消息触发、定时触发、Webhook 触发 + +### Workflow vs Pipeline + +| 对比项 | Pipeline | Workflow | +|-------|----------|----------| +| 配置方式 | 表单配置 | 可视化拖拽 | +| 流程控制 | 线性执行 | 支持分支、循环、并行 | +| 适用场景 | 简单对话 | 复杂流程 | +| 学习曲线 | 低 | 中等 | + +--- + +## 快速入门 + +### 第一步：创建 Workflow + +1. 在侧边栏点击 **Workflow** 进入工作流列表 +2. 点击右上角 **创建工作流** 按钮 +3. 填写基本信息： + - **名称**：给工作流起一个描述性的名字 + - **描述**：可选，说明工作流的用途 + - **图标**：选择一个 emoji 作为标识 + +### 第二步：添加节点 + +进入编辑器后，左侧是节点面板，中间是画布区域，右侧是属性面板。 + +1. **添加触发节点**：从左侧面板拖拽一个"消息触发"节点到画布 +2. **添加 AI 节点**：拖拽一个"LLM 调用"节点 +3. **添加回复节点**：拖拽一个"回复消息"节点 + +### 第三步：连接节点 + +1. 将鼠标悬停在触发节点的输出端口（右侧小圆点） +2. 按住鼠标拖拽到 LLM 节点的输入端口（左侧小圆点） +3. 同样方式连接 LLM 节点和回复节点 + +``` +[消息触发] ──▶ [LLM 调用] ──▶ [回复消息] +``` + +### 第四步：配置节点 + +点击 LLM 调用节点，在右侧属性面板配置： + +- **运行方式**：选择"本地 Agent" +- **系统提示词**：描述 AI 的角色和行为 +- **模型**：选择要使用的 LLM 模型 + +点击回复消息节点配置： + +- **消息内容**：设置为 `{{nodes.llm_call.outputs.response}}`（引用 LLM 输出） + +### 第五步：保存并绑定 + +1. 点击工具栏的 **保存** 按钮 +2. 返回 Bot 配置页面 +3. 在 Bot 的绑定设置中选择 **Workflow**，然后选择刚创建的工作流 + +恭喜！您已经创建了第一个 Workflow。 + +--- + +## 节点类型说明 + +### 触发节点 (Trigger) + +触发节点是工作流的入口，定义何时启动执行。 + +| 节点 | 说明 | 输出 | +|-----|------|------| +| 消息触发 | 收到消息时触发 | message, sender_id, platform | +| 定时触发 | 按 Cron 表达式定时触发 | timestamp | +| Webhook 触发 | 收到 HTTP 请求时触发 | request_body, headers | +| 事件触发 | 系统事件触发 | event_type, event_data | + +**消息触发配置示例**： + +```yaml +触发条件: + - 关键词匹配: ["帮助", "help"] + - 平台: ["wechat", "qq"] +``` + +### AI 节点 + +AI 节点用于调用各种 AI 能力。 + +| 节点 | 说明 | 典型用途 | +|-----|------|---------| +| LLM 调用 | 调用大语言模型 | 生成回复、理解意图 | +| 问题分类器 | 对用户问题分类 | 路由到不同处理分支 | +| 参数提取器 | 从文本提取结构化数据 | 提取订单号、日期等 | +| 知识库检索 | 查询知识库 | RAG 增强回复 | + +**LLM 调用配置示例**： + +```yaml +运行方式: 本地 Agent +模型: gpt-4 +系统提示词: | + 你是一个友好的客服助手。 + 请根据用户的问题提供帮助。 +温度: 0.7 +最大 Token 数: 2000 +``` + +### 处理节点 (Process) + +处理节点用于数据处理和外部调用。 + +| 节点 | 说明 | 典型用途 | +|-----|------|---------| +| 代码执行 | 执行 Python/JavaScript 代码 | 数据处理、格式转换 | +| HTTP 请求 | 发送 HTTP 请求 | 调用外部 API | +| 数据转换 | JSON/模板转换 | 数据格式化 | + +**HTTP 请求配置示例**： + +```yaml +URL: https://api.example.com/data +方法: POST +请求头: + Content-Type: application/json + Authorization: Bearer {{variables.api_key}} +请求体: | + {"query": "{{message.content}}"} +``` + +### 控制节点 (Control) + +控制节点用于流程控制。 + +| 节点 | 说明 | 用途 | +|-----|------|------| +| 条件分支 | 二选一分支 | if-else 逻辑 | +| 多路分支 | 多选一分支 | switch-case 逻辑 | +| 循环 | 遍历数组 | 批量处理 | +| 并行 | 同时执行多分支 | 并发处理 | +| 等待 | 暂停执行 | 延时处理 | +| 合并 | 合并多个分支 | 汇总结果 | + +**条件分支配置示例**： + +```yaml +条件表达式: "{{nodes.classifier.outputs.category}}" == "complaint" +真分支: 投诉处理 +假分支: 普通咨询 +``` + +### 动作节点 (Action) + +动作节点执行具体操作。 + +| 节点 | 说明 | 用途 | +|-----|------|------| +| 发送消息 | 主动发送消息 | 通知、推送 | +| 回复消息 | 回复当前消息 | 对话回复 | +| 存储数据 | 保存数据到存储 | 持久化 | +| 调用 Pipeline | 调用现有 Pipeline | 复用现有流程 | + +**回复消息配置示例**： + +```yaml +消息内容: | + 感谢您的咨询！ + + {{nodes.llm_call.outputs.response}} + + 如有其他问题，随时联系我。 +``` + +### 集成节点 (Integration) + +集成节点连接外部平台。 + +| 节点 | 说明 | 平台 | +|-----|------|------| +| Dify 工作流 | 调用 Dify 应用 | Dify | +| Dify 知识库 | 查询 Dify 知识库 | Dify | +| n8n 工作流 | 调用 n8n 流程 | n8n | +| Langflow | 调用 Langflow 流程 | Langflow | +| Coze Bot | 调用扣子 Bot | Coze | + +**Dify 工作流配置示例**： + +```yaml +API 地址: https://api.dify.ai/v1 +API Key: sk-xxxxx +应用类型: workflow +同步对话历史: true +``` + +--- + +## 编辑器使用指南 + +### 画布操作 + +| 操作 | 方式 | +|-----|------| +| 平移画布 | 按住鼠标中键/空格+左键 拖拽 | +| 缩放画布 | 鼠标滚轮 / 工具栏按钮 | +| 框选多个节点 | 按住 Shift + 拖拽框选 | +| 适应视图 | 点击工具栏"适应"按钮 | + +### 节点操作 + +| 操作 | 方式 | +|-----|------| +| 添加节点 | 从左侧面板拖拽到画布 | +| 移动节点 | 点击节点拖拽 | +| 删除节点 | 选中后按 Delete / 点击工具栏删除 | +| 复制节点 | 选中后 Ctrl+C / 工具栏复制 | +| 粘贴节点 | Ctrl+V / 工具栏粘贴 | + +### 连接操作 + +| 操作 | 方式 | +|-----|------| +| 创建连接 | 从输出端口拖拽到输入端口 | +| 删除连接 | 点击连接线后按 Delete | +| 选中连接 | 点击连接线 | + +### 快捷键 + +| 快捷键 | 功能 | +|-------|------| +| Ctrl + Z | 撤销 | +| Ctrl + Shift + Z | 重做 | +| Ctrl + C | 复制 | +| Ctrl + V | 粘贴 | +| Delete | 删除选中 | +| Ctrl + S | 保存 | + +### 工具栏功能 + +``` +[撤销] [重做] | [放大] [缩小] [适应] | [复制] [粘贴] [删除] | [保存] [调试] +``` + +--- + +## 调试功能 + +### 启动调试 + +1. 点击工具栏的 **调试** 按钮 +2. 在调试面板中配置初始数据： + - **输入消息**：模拟用户发送的消息 + - **会话 ID**：可选，用于测试会话变量 + - **变量**：设置初始变量值 + +3. 点击 **开始调试** 按钮 + +### 调试控制 + +| 按钮 | 功能 | +|-----|------| +| ▶️ 开始/继续 | 开始或继续执行 | +| ⏸️ 暂停 | 暂停执行 | +| ⏹️ 停止 | 停止执行 | +| ⏭️ 单步 | 执行下一个节点 | + +### 断点 + +- **设置断点**：点击节点上的断点图标 +- **断点触发**：执行到断点时自动暂停 +- **查看状态**：在暂停时查看节点的输入输出 + +### 执行日志 + +调试面板下方显示实时日志： + +``` +[INFO] 2024-01-15 10:30:00 - Starting debug execution +[INFO] 2024-01-15 10:30:00 - Executing node: message_trigger +[DEBUG] 2024-01-15 10:30:00 - Node inputs: {"message": "你好"} +[INFO] 2024-01-15 10:30:01 - Node completed in 50ms +[INFO] 2024-01-15 10:30:01 - Executing node: llm_call +... +``` + +### 节点状态颜色 + +| 颜色 | 状态 | +|-----|------| +| 灰色 | 待执行 | +| 蓝色 | 执行中 | +| 绿色 | 已完成 | +| 红色 | 失败 | +| 黄色 | 已跳过 | + +--- + +## 常见问题解答 + +### Q1：如何在节点间传递数据？ + +使用表达式语法引用其他节点的输出： + +``` +{{nodes.节点ID.outputs.输出名称}} +``` + +例如： +- `{{nodes.llm_call.outputs.response}}` - 引用 LLM 节点的响应 +- `{{nodes.http_request.outputs.body}}` - 引用 HTTP 请求的响应体 + +### Q2：如何使用变量？ + +Workflow 支持三种变量类型： + +1. **工作流变量**：`{{variables.变量名}}` +2. **会话变量**：`{{conversation_variables.变量名}}` +3. **消息上下文**：`{{message.content}}`、`{{message.sender_id}}` + +### Q3：条件分支如何写条件表达式？ + +支持以下运算符： + +- 比较：`==`, `!=`, `>`, `<`, `>=`, `<=` +- 逻辑：`and`, `or`, `not` +- 包含：`in` + +示例： +```python +# 字符串比较 +"{{nodes.classifier.outputs.intent}}" == "purchase" + +# 数值比较 +{{nodes.extractor.outputs.amount}} > 1000 + +# 包含检查 +"退款" in "{{message.content}}" +``` + +### Q4：如何处理错误？ + +1. **节点级重试**：在节点配置中设置重试次数 +2. **全局错误处理**：在 Workflow 设置中配置错误处理策略 +3. **条件分支**：使用条件节点检查上一节点的状态 + +### Q5：如何查看执行历史？ + +1. 进入 Workflow 详情页 +2. 点击 **执行历史** 标签 +3. 查看每次执行的状态、耗时、输入输出 + +### Q6：Workflow 可以被多个 Bot 使用吗？ + +是的。一个 Workflow 可以被多个 Bot 绑定使用，但每个 Bot 只能绑定一个处理单元（Pipeline 或 Workflow）。 + +### Q7：如何复制现有的 Workflow？ + +在 Workflow 列表页，点击工作流卡片右上角的菜单，选择"复制"即可创建副本。 + +### Q8：支持版本回滚吗？ + +支持。每次保存都会创建新版本。在 Workflow 详情页可以查看版本历史并回滚到指定版本。 + +--- + +## 最佳实践 + +### 1. 合理命名 + +- 为节点和 Workflow 使用描述性名称 +- 使用统一的命名规范 + +### 2. 模块化设计 + +- 将复杂流程拆分为多个小 Workflow +- 使用"调用 Pipeline"节点复用现有流程 + +### 3. 错误处理 + +- 为关键节点设置重试机制 +- 使用条件分支处理异常情况 +- 添加日志记录便于排查问题 + +### 4. 测试先行 + +- 使用调试功能充分测试 +- 准备多种测试场景 +- 检查边界情况 + +### 5. 性能优化 + +- 避免不必要的节点 +- 使用并行节点提高效率 +- 合理设置超时时间 + +--- + +## 更多资源 + +- [开发者文档](../development/workflow-system.md) +- [设计文档](../../../plans/langbot-workflow-design.md) +- [API 文档](../service-api-openapi.json) diff --git a/node_comparison.json b/node_comparison.json new file mode 100644 index 000000000..b67545a77 --- /dev/null +++ b/node_comparison.json @@ -0,0 +1,1468 @@ +{ + "yaml_nodes": { + "call_pipeline": { + "category": "action", + "inputs": [ + "query", + "context" + ], + "outputs": [ + "response", + "result" + ], + "config": [ + "pipeline_uuid", + "inherit_context", + "timeout" + ] + }, + "code_executor": { + "category": "process", + "inputs": [ + "input" + ], + "outputs": [ + "output", + "logs" + ], + "config": [ + "language", + "code", + "timeout" + ] + }, + "condition": { + "category": "control", + "inputs": [ + "input" + ], + "outputs": [ + "true", + "false" + ], + "config": [ + "condition_type", + "expression", + "left_value", + "operator", + "right_value", + "expected_type" + ] + }, + "coze_bot": { + "category": "integration", + "inputs": [ + "query", + "conversation_id" + ], + "outputs": [ + "answer", + "conversation_id", + "success" + ], + "config": [ + "api-key", + "bot-id", + "api-base", + "auto-save-history", + "timeout" + ] + }, + "cron_trigger": { + "category": "trigger", + "inputs": [], + "outputs": [ + "trigger_time", + "context" + ], + "config": [ + "cron_expression", + "timezone", + "description", + "enabled" + ] + }, + "data_transform": { + "category": "process", + "inputs": [ + "data" + ], + "outputs": [ + "result" + ], + "config": [ + "transform_type", + "template", + "expression" + ] + }, + "database_query": { + "category": "integration", + "inputs": [ + "parameters" + ], + "outputs": [ + "results", + "row_count", + "success" + ], + "config": [ + "connection_type", + "connection_string", + "query", + "query_type", + "timeout" + ] + }, + "dify_knowledge_query": { + "category": "integration", + "inputs": [ + "query" + ], + "outputs": [ + "results", + "success" + ], + "config": [ + "base-url", + "api-key", + "dataset_id" + ] + }, + "dify_workflow": { + "category": "integration", + "inputs": [ + "query", + "conversation_id" + ], + "outputs": [ + "answer", + "conversation_id", + "success" + ], + "config": [ + "base-url", + "base-prompt", + "app-type", + "api-key" + ] + }, + "end": { + "category": "control", + "inputs": [ + "input" + ], + "outputs": [], + "config": [ + "status", + "message" + ] + }, + "event_trigger": { + "category": "trigger", + "inputs": [], + "outputs": [ + "event", + "event_type", + "context" + ], + "config": [ + "event_type", + "source_filter", + "platforms" + ] + }, + "http_request": { + "category": "action", + "inputs": [ + "body", + "variables" + ], + "outputs": [ + "response", + "status_code", + "headers", + "success" + ], + "config": [ + "method", + "url", + "headers", + "body_type", + "body_template", + "timeout", + "retry_count", + "ignore_ssl" + ] + }, + "iterator": { + "category": "control", + "inputs": [ + "array" + ], + "outputs": [ + "item", + "index", + "is_first", + "is_last" + ], + "config": [ + "parallel", + "max_concurrency" + ] + }, + "knowledge_retrieval": { + "category": "process", + "inputs": [ + "query" + ], + "outputs": [ + "results", + "context", + "scores" + ], + "config": [ + "knowledge_bases", + "top_k", + "similarity_threshold", + "retrieval_mode", + "rerank_enabled", + "rerank_model" + ] + }, + "langflow_flow": { + "category": "integration", + "inputs": [ + "input_value" + ], + "outputs": [ + "result", + "success" + ], + "config": [ + "base-url", + "api-key", + "flow-id", + "input-type", + "output-type", + "tweaks" + ] + }, + "llm_call": { + "category": "process", + "inputs": [ + "input", + "context" + ], + "outputs": [ + "response", + "usage", + "parsed" + ], + "config": [ + "model", + "system_prompt", + "user_prompt_template", + "temperature", + "max_tokens", + "output_format", + "json_schema", + "enable_tools", + "tools" + ] + }, + "loop": { + "category": "control", + "inputs": [ + "items" + ], + "outputs": [ + "item", + "index", + "completed" + ], + "config": [ + "loop_type", + "max_iterations", + "count", + "while_condition", + "parallel", + "parallel_limit" + ] + }, + "mcp_tool": { + "category": "integration", + "inputs": [ + "arguments" + ], + "outputs": [ + "result", + "success", + "error" + ], + "config": [ + "server_name", + "tool_name", + "arguments_template", + "timeout" + ] + }, + "memory_store": { + "category": "integration", + "inputs": [ + "value" + ], + "outputs": [ + "result", + "success" + ], + "config": [ + "operation", + "key", + "scope", + "ttl" + ] + }, + "merge": { + "category": "control", + "inputs": [ + "input_1", + "input_2", + "input_3", + "input_4" + ], + "outputs": [ + "merged", + "array" + ], + "config": [ + "merge_strategy" + ] + }, + "message_trigger": { + "category": "trigger", + "inputs": [], + "outputs": [ + "message", + "sender", + "context" + ], + "config": [ + "match_type", + "match_pattern", + "message_source", + "platforms", + "ignore_bot_messages" + ] + }, + "n8n_workflow": { + "category": "integration", + "inputs": [ + "payload" + ], + "outputs": [ + "result", + "success" + ], + "config": [ + "webhook-url", + "auth-type", + "basic-username", + "basic-password", + "jwt-secret", + "jwt-algorithm", + "header-name", + "header-value", + "timeout", + "output-key" + ] + }, + "opening_statement": { + "category": "action", + "inputs": [], + "outputs": [ + "statement", + "suggested_questions" + ], + "config": [ + "statement", + "suggested_questions", + "show_suggestions" + ] + }, + "parallel": { + "category": "control", + "inputs": [ + "input" + ], + "outputs": [ + "branch_1", + "branch_2", + "results" + ], + "config": [ + "branches", + "wait_for_all", + "fail_fast" + ] + }, + "parameter_extractor": { + "category": "process", + "inputs": [ + "text" + ], + "outputs": [ + "parameters", + "missing", + "success" + ], + "config": [ + "model", + "parameters", + "extraction_prompt", + "strict_mode" + ] + }, + "question_classifier": { + "category": "process", + "inputs": [ + "question" + ], + "outputs": [ + "category", + "confidence", + "all_scores" + ], + "config": [ + "model", + "categories", + "confidence_threshold", + "fallback_category" + ] + }, + "redis_operation": { + "category": "integration", + "inputs": [ + "key", + "value" + ], + "outputs": [ + "result", + "success" + ], + "config": [ + "connection_url", + "operation", + "key_template", + "hash_field", + "ttl" + ] + }, + "reply_message": { + "category": "action", + "inputs": [ + "message" + ], + "outputs": [ + "status", + "message_id" + ], + "config": [ + "reply_mode", + "message_template", + "long_text_processing", + "force_delay" + ] + }, + "send_message": { + "category": "action", + "inputs": [ + "content", + "context" + ], + "outputs": [ + "message_id", + "success" + ], + "config": [ + "message_type", + "content_template", + "reply_to_original", + "at_sender" + ] + }, + "set_variable": { + "category": "action", + "inputs": [ + "value" + ], + "outputs": [ + "value" + ], + "config": [ + "variable_name", + "variable_scope", + "operation" + ] + }, + "store_data": { + "category": "action", + "inputs": [ + "key", + "value" + ], + "outputs": [ + "status" + ], + "config": [ + "storage_type", + "ttl", + "key_prefix" + ] + }, + "switch": { + "category": "control", + "inputs": [ + "input" + ], + "outputs": [ + "case_1", + "case_2", + "default" + ], + "config": [ + "switch_expression", + "cases", + "case_sensitive" + ] + }, + "variable_aggregator": { + "category": "control", + "inputs": [ + "variables" + ], + "outputs": [ + "aggregated" + ], + "config": [ + "variable_mappings", + "aggregation_mode" + ] + }, + "wait": { + "category": "control", + "inputs": [ + "input" + ], + "outputs": [ + "output" + ], + "config": [ + "wait_type", + "duration", + "until_time" + ] + }, + "webhook_trigger": { + "category": "trigger", + "inputs": [], + "outputs": [ + "body", + "headers", + "query", + "method" + ], + "config": [ + "webhook_path", + "auth_type", + "auth_token", + "allowed_ips", + "allowed_methods", + "content_type", + "validation", + "timeout" + ] + } + }, + "frontend_nodes": { + "condition": { + "inputs": [ + "input" + ], + "outputs": [ + "true", + "false" + ], + "config": [ + "condition_type", + "expression", + "comparison", + "exists", + "type_check", + "left_value", + "operator", + "eq", + "neq", + "gt", + "gte", + "lt", + "lte", + "contains", + "starts_with", + "ends_with", + "matches", + "right_value", + "expected_type", + "string", + "number", + "boolean", + "object", + "array", + "null" + ] + }, + "switch_case": { + "inputs": [ + "input" + ], + "outputs": [ + "case_1", + "case_2", + "default" + ], + "config": [ + "switch_expression", + "cases", + "case_sensitive" + ] + }, + "loop": { + "inputs": [ + "items" + ], + "outputs": [ + "item", + "index", + "completed" + ], + "config": [ + "loop_type", + "foreach", + "while", + "count", + "max_iterations", + "while_condition", + "parallel", + "parallel_limit" + ] + }, + "parallel": { + "inputs": [ + "input" + ], + "outputs": [ + "branch_1", + "branch_2", + "results" + ], + "config": [ + "branches", + "wait_for_all", + "fail_fast" + ] + }, + "wait": { + "inputs": [ + "input" + ], + "outputs": [ + "output" + ], + "config": [ + "wait_type", + "duration", + "until", + "until_time" + ] + }, + "end": { + "inputs": [ + "input" + ], + "outputs": [], + "config": [ + "status", + "success", + "failed", + "cancelled", + "message" + ] + }, + "text_template": { + "inputs": [ + "variables" + ], + "outputs": [ + "text" + ], + "config": [ + "template", + "escape_html", + "trim_whitespace" + ] + }, + "json_transform": { + "inputs": [ + "input" + ], + "outputs": [ + "output" + ], + "config": [ + "transform_type", + "jmespath", + "jsonpath", + "mapping", + "expression" + ] + }, + "code_executor": { + "inputs": [ + "input" + ], + "outputs": [ + "output", + "logs" + ], + "config": [ + "language", + "javascript", + "python", + "code", + "timeout" + ] + }, + "data_aggregator": { + "inputs": [ + "items" + ], + "outputs": [ + "result", + "count" + ], + "config": [ + "aggregation_type", + "array", + "concat", + "sum", + "average", + "min", + "max", + "merge", + "first", + "last", + "separator", + "field_path" + ] + }, + "text_splitter": { + "inputs": [ + "text" + ], + "outputs": [ + "chunks", + "count" + ], + "config": [ + "split_type", + "separator", + "length", + "sentences", + "paragraphs", + "regex", + "chunk_size", + "chunk_overlap", + "regex_pattern", + "remove_empty" + ] + }, + "variable_assignment": { + "inputs": [ + "value" + ], + "outputs": [ + "output" + ], + "config": [ + "variable_name", + "value_type", + "input", + "static", + "expression", + "static_value" + ] + }, + "data_transform": { + "inputs": [ + "data" + ], + "outputs": [ + "result" + ], + "config": [ + "transform_type", + "template", + "jsonpath", + "jmespath", + "expression" + ] + }, + "llm_call": { + "inputs": [ + "input", + "context" + ], + "outputs": [ + "response", + "usage", + "parsed" + ], + "config": [ + "model", + "system_prompt", + "user_prompt_template", + "temperature", + "max_tokens", + "output_format", + "text", + "json", + "markdown", + "json_schema", + "enable_tools", + "tools" + ] + }, + "question_classifier": { + "inputs": [ + "question" + ], + "outputs": [ + "category", + "confidence", + "all_scores" + ], + "config": [ + "model", + "categories", + "confidence_threshold", + "fallback_category" + ] + }, + "parameter_extractor": { + "inputs": [ + "text" + ], + "outputs": [ + "parameters", + "missing", + "success" + ], + "config": [ + "model", + "parameters", + "extraction_prompt", + "strict_mode" + ] + }, + "knowledge_retrieval": { + "inputs": [ + "query" + ], + "outputs": [ + "results", + "context", + "scores" + ], + "config": [ + "knowledge_bases", + "top_k", + "similarity_threshold", + "retrieval_mode", + "vector", + "hybrid", + "keyword", + "rerank_enabled", + "rerank_model" + ] + }, + "text_embedding": { + "inputs": [ + "text" + ], + "outputs": [ + "embedding", + "dimensions" + ], + "config": [ + "model" + ] + }, + "intent_recognition": { + "inputs": [ + "text" + ], + "outputs": [ + "intent", + "confidence", + "entities" + ], + "config": [ + "model", + "intents_definition", + "extract_entities" + ] + }, + "send_message": { + "inputs": [ + "content", + "context" + ], + "outputs": [ + "message_id", + "success" + ], + "config": [ + "message_type", + "text", + "markdown", + "image", + "file", + "card", + "content_template", + "reply_to_original", + "at_sender" + ] + }, + "http_request": { + "inputs": [ + "body", + "variables" + ], + "outputs": [ + "response", + "status_code", + "headers", + "success" + ], + "config": [ + "method", + "GET", + "POST", + "PUT", + "PATCH", + "DELETE", + "url", + "headers", + "body_type", + "none", + "json", + "form", + "raw", + "body_template", + "timeout", + "retry_count", + "ignore_ssl" + ] + }, + "bot_invoke": { + "inputs": [ + "message", + "context" + ], + "outputs": [ + "response", + "success" + ], + "config": [ + "bot", + "wait_for_response", + "timeout" + ] + }, + "workflow_invoke": { + "inputs": [ + "input" + ], + "outputs": [ + "output", + "status", + "execution_id" + ], + "config": [ + "workflow_id", + "wait_for_completion", + "timeout", + "pass_context" + ] + }, + "notification": { + "inputs": [ + "content" + ], + "outputs": [ + "success", + "notification_id" + ], + "config": [ + "channel", + "webhook", + "email", + "dingtalk", + "feishu", + "wechat_work", + "title", + "content_template", + "webhook_url", + "recipients" + ] + }, + "database_query": { + "inputs": [ + "parameters" + ], + "outputs": [ + "results", + "row_count", + "success" + ], + "config": [ + "connection_type", + "postgresql", + "mysql", + "sqlite", + "connection_string", + "query", + "query_type", + "select", + "insert", + "update", + "delete", + "timeout" + ] + }, + "redis_operation": { + "inputs": [ + "key", + "value" + ], + "outputs": [ + "result", + "success" + ], + "config": [ + "connection_url", + "operation", + "get", + "set", + "delete", + "exists", + "incr", + "decr", + "hget", + "hset", + "lpush", + "rpush", + "lpop", + "rpop", + "key_template", + "hash_field", + "ttl" + ] + }, + "mcp_tool": { + "inputs": [ + "arguments" + ], + "outputs": [ + "result", + "success", + "error" + ], + "config": [ + "server_name", + "tool_name", + "arguments_template", + "timeout" + ] + }, + "memory_store": { + "inputs": [ + "value" + ], + "outputs": [ + "result", + "success" + ], + "config": [ + "operation", + "get", + "set", + "delete", + "append", + "list", + "key", + "scope", + "execution", + "workflow", + "session", + "user", + "global", + "ttl" + ] + }, + "message_trigger": { + "inputs": [], + "outputs": [ + "message", + "sender", + "context" + ], + "config": [ + "match_type", + "all", + "prefix", + "regex", + "contains", + "exact", + "match_pattern", + "message_source", + "group", + "private", + "platforms", + "ignore_bot_messages" + ] + }, + "cron_trigger": { + "inputs": [], + "outputs": [ + "trigger_time", + "context" + ], + "config": [ + "cron_expression", + "timezone", + "UTC", + "Asia/Shanghai", + "Asia/Tokyo", + "America/New_York", + "America/Los_Angeles", + "Europe/London", + "Europe/Berlin", + "description", + "enabled" + ] + }, + "webhook_trigger": { + "inputs": [], + "outputs": [ + "body", + "headers", + "query", + "method" + ], + "config": [ + "webhook_path", + "auth_type", + "none", + "token", + "signature", + "basic", + "auth_token", + "allowed_ips", + "allowed_methods", + "content_type", + "application/json", + "application/x-www-form-urlencoded", + "multipart/form-data", + "text/plain", + "validation", + "timeout" + ] + }, + "event_trigger": { + "inputs": [], + "outputs": [ + "event", + "event_type", + "context" + ], + "config": [ + "event_type", + "member_join", + "member_leave", + "message_recall", + "group_created", + "group_disbanded", + "bot_added", + "bot_removed", + "friend_request", + "group_request", + "source_filter", + "all", + "group", + "private", + "platforms" + ] + } + }, + "discrepancies": { + "code_executor": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "javascript", + "python" + ] + } + ], + "condition": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "contains", + "starts_with", + "gt", + "matches", + "ends_with", + "lte", + "type_check", + "boolean", + "eq", + "number", + "comparison", + "array", + "exists", + "lt", + "string", + "object", + "neq", + "null", + "gte" + ] + } + ], + "cron_trigger": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "America/New_York", + "America/Los_Angeles", + "Asia/Shanghai", + "UTC", + "Asia/Tokyo", + "Europe/Berlin", + "Europe/London" + ] + } + ], + "data_transform": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "jsonpath", + "jmespath" + ] + } + ], + "database_query": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "mysql", + "sqlite", + "update", + "insert", + "postgresql", + "delete", + "select" + ] + } + ], + "end": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "cancelled", + "failed", + "success" + ] + } + ], + "event_trigger": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "group_created", + "private", + "friend_request", + "all", + "bot_added", + "message_recall", + "member_leave", + "group_disbanded", + "group", + "group_request", + "bot_removed", + "member_join" + ] + } + ], + "http_request": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "none", + "json", + "DELETE", + "PATCH", + "POST", + "PUT", + "raw", + "GET", + "form" + ] + } + ], + "knowledge_retrieval": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "keyword", + "vector", + "hybrid" + ] + } + ], + "llm_call": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "text", + "json", + "markdown" + ] + } + ], + "loop": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "while", + "foreach" + ] + } + ], + "memory_store": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "user", + "workflow", + "get", + "set", + "execution", + "delete", + "list", + "global", + "session", + "append" + ] + } + ], + "message_trigger": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "private", + "prefix", + "all", + "group", + "regex", + "exact", + "contains" + ] + } + ], + "redis_operation": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "incr", + "hset", + "decr", + "get", + "set", + "exists", + "hget", + "delete", + "lpush", + "lpop", + "rpop", + "rpush" + ] + } + ], + "send_message": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "file", + "card", + "markdown", + "text", + "image" + ] + } + ], + "wait": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "until" + ] + } + ], + "webhook_trigger": [ + { + "type": "config", + "only_yaml": [], + "only_frontend": [ + "token", + "none", + "application/x-www-form-urlencoded", + "signature", + "multipart/form-data", + "text/plain", + "application/json", + "basic" + ] + } + ] + } +} \ No newline at end of file diff --git a/src/langbot/pkg/api/http/controller/groups/workflows/__init__.py b/src/langbot/pkg/api/http/controller/groups/workflows/__init__.py new file mode 100644 index 000000000..75ad22b9e --- /dev/null +++ b/src/langbot/pkg/api/http/controller/groups/workflows/__init__.py @@ -0,0 +1,6 @@ +# Workflow router group +from .workflows import WorkflowsRouterGroup, ExecutionsRouterGroup +from .websocket_chat import WorkflowWebSocketChatRouterGroup + +__all__ = ['WorkflowsRouterGroup', 'ExecutionsRouterGroup', 'WorkflowWebSocketChatRouterGroup'] + diff --git a/src/langbot/pkg/api/http/controller/groups/workflows/websocket_chat.py b/src/langbot/pkg/api/http/controller/groups/workflows/websocket_chat.py new file mode 100644 index 000000000..685ee7155 --- /dev/null +++ b/src/langbot/pkg/api/http/controller/groups/workflows/websocket_chat.py @@ -0,0 +1,253 @@ +"""Workflow WebSocket聊天路由 - 支持工作流调试的双向实时通信""" + +import asyncio +import datetime +import json +import logging + +import quart + +from ... import group +from ......platform.sources.websocket_manager import ws_connection_manager + +logger = logging.getLogger(__name__) + + +@group.group_class('workflow_websocket_chat', '/api/v1/workflows//ws') +class WorkflowWebSocketChatRouterGroup(group.RouterGroup): + async def initialize(self) -> None: + @self.quart_app.websocket(self.path + '/connect') + async def workflow_websocket_connect(workflow_uuid: str): + """ + 建立工作流WebSocket连接 + + URL参数: + - workflow_uuid: 工作流UUID + - session_type: 会话类型 (person/group) + """ + try: + session_type = quart.websocket.args.get('session_type', 'person') + logger.info( + 'Workflow WebSocket connect request received', + extra={ + 'workflow_uuid': workflow_uuid, + 'session_type': session_type, + 'path': quart.websocket.path, + 'query_string': quart.websocket.query_string.decode('utf-8', errors='ignore'), + 'remote_addr': getattr(quart.websocket, 'remote_addr', None), + 'user_agent': quart.websocket.headers.get('User-Agent', ''), + 'host': quart.websocket.headers.get('Host', ''), + 'origin': quart.websocket.headers.get('Origin', ''), + }, + ) + + if session_type not in ['person', 'group']: + await quart.websocket.send( + json.dumps({'type': 'error', 'message': 'session_type must be person or group'}) + ) + return + + websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter + + if not websocket_adapter: + logger.warning( + 'Workflow WebSocket adapter missing', + extra={ + 'workflow_uuid': workflow_uuid, + 'session_type': session_type, + }, + ) + await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'})) + return + + connection = await ws_connection_manager.add_connection( + websocket=quart.websocket._get_current_object(), + pipeline_uuid=workflow_uuid, + session_type=session_type, + metadata={'user_agent': quart.websocket.headers.get('User-Agent', ''), 'is_workflow': True}, + ) + + await quart.websocket.send( + json.dumps( + { + 'type': 'connected', + 'connection_id': connection.connection_id, + 'workflow_uuid': workflow_uuid, + 'session_type': session_type, + 'timestamp': connection.created_at.isoformat(), + } + ) + ) + + logger.debug( + f'Workflow WebSocket connection established: {connection.connection_id} ' + f'(workflow={workflow_uuid}, session_type={session_type})' + ) + + receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter)) + send_task = asyncio.create_task(self._handle_send(connection)) + + try: + await asyncio.gather(receive_task, send_task) + except Exception as e: + logger.error(f'Workflow WebSocket task execution error: {e}') + finally: + await ws_connection_manager.remove_connection(connection.connection_id) + logger.debug(f'Workflow WebSocket connection cleaned: {connection.connection_id}') + + except Exception as e: + logger.error( + 'Workflow WebSocket connection error', + exc_info=True, + extra={ + 'workflow_uuid': workflow_uuid, + 'session_type': quart.websocket.args.get('session_type', 'person'), + 'path': quart.websocket.path, + 'query_string': quart.websocket.query_string.decode('utf-8', errors='ignore'), + 'remote_addr': getattr(quart.websocket, 'remote_addr', None), + }, + ) + try: + await quart.websocket.send(json.dumps({'type': 'error', 'message': str(e)})) + except: + pass + + @self.route('/messages/', methods=['GET']) + async def get_messages(workflow_uuid: str, session_type: str) -> str: + """获取工作流消息历史""" + try: + if session_type not in ['person', 'group']: + return self.http_status(400, -1, 'session_type must be person or group') + + websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter + + if not websocket_adapter: + return self.http_status(404, -1, 'WebSocket adapter not found') + + messages = websocket_adapter.get_websocket_messages(workflow_uuid, session_type) + + return self.success(data={'messages': messages}) + + except Exception as e: + return self.http_status(500, -1, f'Internal server error: {str(e)}') + + @self.route('/reset/', methods=['POST']) + async def reset_session(workflow_uuid: str, session_type: str) -> str: + """重置工作流会话""" + try: + if session_type not in ['person', 'group']: + return self.http_status(400, -1, 'session_type must be person or group') + + websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter + + if not websocket_adapter: + return self.http_status(404, -1, 'WebSocket adapter not found') + + websocket_adapter.reset_session(workflow_uuid, session_type) + + return self.success(data={'message': 'Session reset successfully'}) + + except Exception as e: + return self.http_status(500, -1, f'Internal server error: {str(e)}') + + @self.route('/connections', methods=['GET']) + async def get_connections(workflow_uuid: str) -> str: + """获取当前工作流连接统计""" + try: + stats = ws_connection_manager.get_stats() + connections = await ws_connection_manager.get_connections_by_pipeline(workflow_uuid) + + return self.success( + data={ + 'stats': stats, + 'connections': [ + { + 'connection_id': conn.connection_id, + 'session_type': conn.session_type, + 'created_at': conn.created_at.isoformat(), + 'last_active': conn.last_active.isoformat(), + 'is_active': conn.is_active, + } + for conn in connections + ], + } + ) + + except Exception as e: + return self.http_status(500, -1, f'Internal server error: {str(e)}') + + @self.route('/broadcast', methods=['POST']) + async def broadcast_message(workflow_uuid: str) -> str: + """向所有工作流连接广播消息""" + try: + data = await quart.request.get_json() + message = data.get('message') + + if not message: + return self.http_status(400, -1, 'message is required') + + broadcast_data = { + 'type': 'broadcast', + 'message': message, + 'timestamp': datetime.datetime.now().isoformat(), + } + + await ws_connection_manager.broadcast_to_pipeline(workflow_uuid, broadcast_data) + + return self.success(data={'message': 'Broadcast sent successfully'}) + + except Exception as e: + return self.http_status(500, -1, f'Internal server error: {str(e)}') + + async def _handle_receive(self, connection, websocket_adapter): + """处理接收消息的任务""" + try: + while connection.is_active: + message = await quart.websocket.receive() + + await ws_connection_manager.update_activity(connection.connection_id) + + try: + data = json.loads(message) + message_type = data.get('type', 'message') + + if message_type == 'ping': + await connection.send_queue.put( + {'type': 'pong', 'timestamp': datetime.datetime.now().isoformat()} + ) + + elif message_type == 'message': + logger.debug(f'收到工作流消息: {data} from {connection.connection_id}') + await websocket_adapter.handle_websocket_message(connection, data) + + elif message_type == 'disconnect': + logger.debug(f'Client disconnected: {connection.connection_id}') + break + + else: + logger.warning(f'Unknown message type: {message_type}') + + except json.JSONDecodeError: + logger.error(f'Invalid JSON message: {message}') + await connection.send_queue.put({'type': 'error', 'message': 'Invalid JSON format'}) + + except Exception as e: + logger.error(f'Receive message error: {e}', exc_info=True) + finally: + connection.is_active = False + + async def _handle_send(self, connection): + """处理发送消息的任务""" + try: + while connection.is_active: + try: + message = await asyncio.wait_for(connection.send_queue.get(), timeout=1.0) + await quart.websocket.send(json.dumps(message)) + + except asyncio.TimeoutError: + continue + + except Exception as e: + logger.error(f'Send message error: {e}', exc_info=True) + finally: + connection.is_active = False diff --git a/src/langbot/pkg/api/http/controller/groups/workflows/workflows.py b/src/langbot/pkg/api/http/controller/groups/workflows/workflows.py new file mode 100644 index 000000000..ec019fc7e --- /dev/null +++ b/src/langbot/pkg/api/http/controller/groups/workflows/workflows.py @@ -0,0 +1,351 @@ +from __future__ import annotations + +import quart + +from ... import group +from ....service.workflow import WorkflowExecutionFailedError + + +@group.group_class('workflows', '/api/v1/workflows') +class WorkflowsRouterGroup(group.RouterGroup): + """Workflow API router group""" + + async def initialize(self) -> None: + # Workflow CRUD + @self.route('', methods=['GET', 'POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _() -> str: + if quart.request.method == 'GET': + sort_by = quart.request.args.get('sort_by', 'created_at') + sort_order = quart.request.args.get('sort_order', 'DESC') + enabled_only = quart.request.args.get('enabled_only', 'false').lower() == 'true' + return self.success( + data={'workflows': await self.ap.workflow_service.get_workflows( + sort_by, sort_order, enabled_only + )} + ) + elif quart.request.method == 'POST': + json_data = await quart.request.json + workflow_uuid = await self.ap.workflow_service.create_workflow(json_data) + return self.success(data={'uuid': workflow_uuid}) + + # Get node types (available nodes for the editor) + @self.route('/_/node-types', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _() -> str: + return self.success(data={ + 'node_types': await self.ap.workflow_service.get_node_types(), + 'categories': await self.ap.workflow_service.get_node_types_by_category_meta(), + }) + + # Get node types by category + @self.route('/_/node-types/categories', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _() -> str: + return self.success(data={'categories': await self.ap.workflow_service.get_node_types_by_category()}) + + # Single workflow operations + @self.route( + '/', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str) -> str: + if quart.request.method == 'GET': + workflow = await self.ap.workflow_service.get_workflow(workflow_uuid) + if workflow is None: + return self.http_status(404, -1, 'workflow not found') + return self.success(data={'workflow': workflow}) + elif quart.request.method == 'PUT': + json_data = await quart.request.json + try: + await self.ap.workflow_service.update_workflow(workflow_uuid, json_data) + return self.success() + except ValueError as e: + return self.http_status(404, -1, str(e)) + elif quart.request.method == 'DELETE': + await self.ap.workflow_service.delete_workflow(workflow_uuid) + return self.success() + + # Publish workflow (enable) + @self.route('//publish', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(workflow_uuid: str) -> str: + try: + await self.ap.workflow_service.publish_workflow(workflow_uuid) + return self.success() + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Unpublish workflow (disable) + @self.route('//unpublish', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(workflow_uuid: str) -> str: + try: + await self.ap.workflow_service.unpublish_workflow(workflow_uuid) + return self.success() + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Copy workflow + @self.route('//copy', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(workflow_uuid: str) -> str: + try: + new_uuid = await self.ap.workflow_service.copy_workflow(workflow_uuid) + return self.success(data={'uuid': new_uuid}) + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Execute workflow manually + @self.route('//execute', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(workflow_uuid: str) -> str: + json_data = await quart.request.json or {} + trigger_data = json_data.get('trigger_data', {}) + session_id = json_data.get('session_id') + user_id = json_data.get('user_id') + bot_id = json_data.get('bot_id') + + try: + execution_id = await self.ap.workflow_service.execute_workflow( + workflow_uuid, + trigger_type='manual', + trigger_data=trigger_data, + session_id=session_id, + user_id=user_id, + bot_id=bot_id + ) + return self.success(data={'execution_id': execution_id}) + except ValueError as e: + return self.http_status(404, -1, str(e)) + except WorkflowExecutionFailedError as e: + return self.http_status(500, -1, e.message) + + # Get workflow executions + @self.route('//executions', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(workflow_uuid: str) -> str: + limit = int(quart.request.args.get('limit', 50)) + offset = int(quart.request.args.get('offset', 0)) + executions = await self.ap.workflow_service.get_executions( + workflow_uuid=workflow_uuid, + limit=limit, + offset=offset + ) + return self.success(data=executions) + + # Get workflow versions + @self.route('//versions', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(workflow_uuid: str) -> str: + versions = await self.ap.workflow_service.get_versions(workflow_uuid) + return self.success(data={'versions': versions}) + + # Rollback to a specific version + @self.route( + '//rollback/', + methods=['POST'], + auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str, version: int) -> str: + try: + await self.ap.workflow_service.rollback_to_version(workflow_uuid, version) + return self.success() + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Workflow extensions (plugins and MCP servers) + @self.route( + '//extensions', methods=['GET', 'PUT'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str) -> str: + if quart.request.method == 'GET': + workflow = await self.ap.workflow_service.get_workflow(workflow_uuid) + if workflow is None: + return self.http_status(404, -1, 'workflow not found') + + # Get available plugins and MCP servers + pipeline_component_kinds = ['Command', 'EventListener', 'Tool'] + plugins = await self.ap.plugin_connector.list_plugins(component_kinds=pipeline_component_kinds) + mcp_servers = await self.ap.mcp_service.get_mcp_servers(contain_runtime_info=True) + + extensions_prefs = workflow.get('extensions_preferences', {}) + return self.success( + data={ + 'enable_all_plugins': extensions_prefs.get('enable_all_plugins', True), + 'enable_all_mcp_servers': extensions_prefs.get('enable_all_mcp_servers', True), + 'bound_plugins': extensions_prefs.get('plugins', []), + 'available_plugins': plugins, + 'bound_mcp_servers': extensions_prefs.get('mcp_servers', []), + 'available_mcp_servers': mcp_servers, + } + ) + elif quart.request.method == 'PUT': + json_data = await quart.request.json + enable_all_plugins = json_data.get('enable_all_plugins', True) + enable_all_mcp_servers = json_data.get('enable_all_mcp_servers', True) + bound_plugins = json_data.get('bound_plugins', []) + bound_mcp_servers = json_data.get('bound_mcp_servers', []) + + try: + await self.ap.workflow_service.update_workflow_extensions( + workflow_uuid, bound_plugins, bound_mcp_servers, + enable_all_plugins, enable_all_mcp_servers + ) + return self.success() + except ValueError as e: + return self.http_status(404, -1, str(e)) + + + # Debug API - Start debug execution + @self.route('//debug/start', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(workflow_uuid: str) -> str: + json_data = await quart.request.json or {} + context = json_data.get('context', {}) + variables = json_data.get('variables', {}) + breakpoints = json_data.get('breakpoints', []) + + try: + execution_id = await self.ap.workflow_service.start_debug_execution( + workflow_uuid, + context=context, + variables=variables, + breakpoints=breakpoints + ) + return self.success(data={'execution_id': execution_id}) + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Debug API - Pause execution + @self.route( + '//debug//pause', + methods=['POST'], + auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str, execution_uuid: str) -> str: + try: + await self.ap.workflow_service.pause_debug_execution(workflow_uuid, execution_uuid) + return self.success() + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Debug API - Resume execution + @self.route( + '//debug//resume', + methods=['POST'], + auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str, execution_uuid: str) -> str: + try: + await self.ap.workflow_service.resume_debug_execution(workflow_uuid, execution_uuid) + return self.success() + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Debug API - Step execution + @self.route( + '//debug//step', + methods=['POST'], + auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str, execution_uuid: str) -> str: + try: + result = await self.ap.workflow_service.step_debug_execution(workflow_uuid, execution_uuid) + return self.success(data=result) + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Debug API - Stop execution + @self.route( + '//debug//stop', + methods=['POST'], + auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str, execution_uuid: str) -> str: + try: + await self.ap.workflow_service.stop_debug_execution(workflow_uuid, execution_uuid) + return self.success() + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Debug API - Get debug state + @self.route( + '//debug//state', + methods=['GET'], + auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str, execution_uuid: str) -> str: + try: + state = await self.ap.workflow_service.get_debug_state(workflow_uuid, execution_uuid) + return self.success(data=state) + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Get execution logs + @self.route( + '//executions//logs', + methods=['GET'], + auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str, execution_uuid: str) -> str: + limit = int(quart.request.args.get('limit', 100)) + offset = int(quart.request.args.get('offset', 0)) + try: + result = await self.ap.workflow_service.get_execution_logs( + workflow_uuid, execution_uuid, limit, offset + ) + return self.success(data=result) + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Rerun execution + @self.route( + '//executions//rerun', + methods=['POST'], + auth_type=group.AuthType.USER_TOKEN_OR_API_KEY + ) + async def _(workflow_uuid: str, execution_uuid: str) -> str: + try: + new_execution_id = await self.ap.workflow_service.rerun_execution( + workflow_uuid, execution_uuid + ) + return self.success(data={'execution_uuid': new_execution_id}) + except ValueError as e: + return self.http_status(404, -1, str(e)) + + # Get workflow statistics + @self.route('//stats', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(workflow_uuid: str) -> str: + try: + stats = await self.ap.workflow_service.get_workflow_stats(workflow_uuid) + return self.success(data=stats) + except ValueError as e: + return self.http_status(404, -1, str(e)) + + +@group.group_class('executions', '/api/v1/executions') +class ExecutionsRouterGroup(group.RouterGroup): + """Workflow execution API router group""" + + async def initialize(self) -> None: + # Get all executions (across all workflows) + @self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _() -> str: + limit = int(quart.request.args.get('limit', 50)) + offset = int(quart.request.args.get('offset', 0)) + status = quart.request.args.get('status') + executions = await self.ap.workflow_service.get_executions( + limit=limit, + offset=offset, + status=status + ) + return self.success(data=executions) + + # Get single execution + @self.route('/', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(execution_uuid: str) -> str: + execution = await self.ap.workflow_service.get_execution(execution_uuid) + if execution is None: + return self.http_status(404, -1, 'execution not found') + return self.success(data={'execution': execution}) + + # Cancel execution + @self.route('//cancel', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY) + async def _(execution_uuid: str) -> str: + try: + await self.ap.workflow_service.cancel_execution(execution_uuid) + return self.success() + except ValueError as e: + return self.http_status(404, -1, str(e)) + except RuntimeError as e: + return self.http_status(400, -1, str(e)) diff --git a/src/langbot/pkg/api/http/controller/main.py b/src/langbot/pkg/api/http/controller/main.py index 2e366c3ef..62da86f48 100644 --- a/src/langbot/pkg/api/http/controller/main.py +++ b/src/langbot/pkg/api/http/controller/main.py @@ -17,6 +17,7 @@ from .groups import pipelines as groups_pipelines from .groups import knowledge as groups_knowledge from .groups import resources as groups_resources +from .groups import workflows as groups_workflows importutil.import_modules_in_pkg(groups) importutil.import_modules_in_pkg(groups_provider) @@ -24,6 +25,7 @@ importutil.import_modules_in_pkg(groups_pipelines) importutil.import_modules_in_pkg(groups_knowledge) importutil.import_modules_in_pkg(groups_resources) +importutil.import_modules_in_pkg(groups_workflows) class HTTPController: diff --git a/src/langbot/pkg/api/http/service/bot.py b/src/langbot/pkg/api/http/service/bot.py index 332c8ec7b..b5b527263 100644 --- a/src/langbot/pkg/api/http/service/bot.py +++ b/src/langbot/pkg/api/http/service/bot.py @@ -99,7 +99,11 @@ async def create_bot(self, bot_data: dict) -> str: # TODO: 检查配置信息格式 bot_data['uuid'] = str(uuid.uuid4()) - # checkout the default pipeline + # Set default binding_type if not provided + if 'binding_type' not in bot_data: + bot_data['binding_type'] = 'pipeline' + + # checkout the default pipeline (for backward compatibility) result = await self.ap.persistence_mgr.execute_async( sqlalchemy.select(persistence_pipeline.LegacyPipeline).where( persistence_pipeline.LegacyPipeline.is_default == True @@ -109,6 +113,9 @@ async def create_bot(self, bot_data: dict) -> str: if pipeline is not None: bot_data['use_pipeline_uuid'] = pipeline.uuid bot_data['use_pipeline_name'] = pipeline.name + # Also set binding_uuid for new unified binding model + if 'binding_uuid' not in bot_data: + bot_data['binding_uuid'] = pipeline.uuid await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_bot.Bot).values(bot_data)) @@ -123,7 +130,11 @@ async def update_bot(self, bot_uuid: str, bot_data: dict) -> None: if 'uuid' in bot_data: del bot_data['uuid'] - # set use_pipeline_name + # Handle binding_type and binding_uuid for the new unified binding model + # If binding_type is explicitly set to 'workflow', skip pipeline validation + binding_type = bot_data.get('binding_type') + + # set use_pipeline_name (for backward compatibility with 'pipeline' binding_type) if 'use_pipeline_uuid' in bot_data: result = await self.ap.persistence_mgr.execute_async( sqlalchemy.select(persistence_pipeline.LegacyPipeline).where( @@ -133,8 +144,18 @@ async def update_bot(self, bot_uuid: str, bot_data: dict) -> None: pipeline = result.first() if pipeline is not None: bot_data['use_pipeline_name'] = pipeline.name + # Also sync to binding_uuid if binding_type is 'pipeline' or not set + if binding_type is None or binding_type == 'pipeline': + bot_data['binding_uuid'] = bot_data['use_pipeline_uuid'] + bot_data['binding_type'] = 'pipeline' else: raise Exception('Pipeline not found') + + # If binding_uuid is set directly (for workflow), sync use_pipeline_uuid for backward compatibility + if 'binding_uuid' in bot_data and binding_type == 'workflow': + # For workflow binding, we don't sync to use_pipeline_uuid + # but we ensure binding_type is correctly set + bot_data['binding_type'] = 'workflow' await self.ap.persistence_mgr.execute_async( sqlalchemy.update(persistence_bot.Bot).values(bot_data).where(persistence_bot.Bot.uuid == bot_uuid) diff --git a/src/langbot/pkg/api/http/service/workflow.py b/src/langbot/pkg/api/http/service/workflow.py new file mode 100644 index 000000000..244054675 --- /dev/null +++ b/src/langbot/pkg/api/http/service/workflow.py @@ -0,0 +1,1132 @@ +"""Workflow service for managing workflow CRUD and execution""" +from __future__ import annotations + +import asyncio +import uuid +from datetime import datetime, timedelta +from typing import Any, Optional + +import sqlalchemy + +from ....core import app +from ....entity.persistence import workflow as persistence_workflow +from ....workflow.entities import ( + WorkflowDefinition, + ExecutionContext, + ExecutionStatus, + NodeDefinition, + EdgeDefinition, + Position, + MessageContext, + NodeStatus, +) +from ....workflow.executor import WorkflowExecutor +from ....workflow.registry import NodeTypeRegistry + + +class WorkflowExecutionFailedError(Exception): + """Raised when a workflow execution finishes with failed status.""" + + def __init__( + self, + execution_id: str, + message: str, + *, + details: str | None = None, + ) -> None: + super().__init__(message) + self.execution_id = execution_id + self.message = message + self.details = details or message + + +class WorkflowService: + """Workflow service for managing workflows""" + + DEFAULT_MAX_EXECUTION_TIME = 300 + STALE_EXECUTION_TIMEOUT_SECONDS = 300 + + ap: app.Application + + def __init__(self, ap: app.Application) -> None: + self.ap = ap + self.executor = WorkflowExecutor(ap) + self.registry = NodeTypeRegistry.instance() + + # Import workflow nodes to trigger registration + from ....workflow import nodes # noqa: F401 + + async def get_workflows( + self, + sort_by: str = 'created_at', + sort_order: str = 'DESC', + enabled_only: bool = False + ) -> list[dict]: + """Get all workflows""" + query = sqlalchemy.select(persistence_workflow.Workflow) + + if enabled_only: + query = query.where(persistence_workflow.Workflow.is_enabled == True) + + if sort_by == 'created_at': + if sort_order == 'DESC': + query = query.order_by(persistence_workflow.Workflow.created_at.desc()) + else: + query = query.order_by(persistence_workflow.Workflow.created_at.asc()) + elif sort_by == 'updated_at': + if sort_order == 'DESC': + query = query.order_by(persistence_workflow.Workflow.updated_at.desc()) + else: + query = query.order_by(persistence_workflow.Workflow.updated_at.asc()) + elif sort_by == 'name': + if sort_order == 'DESC': + query = query.order_by(persistence_workflow.Workflow.name.desc()) + else: + query = query.order_by(persistence_workflow.Workflow.name.asc()) + + result = await self.ap.persistence_mgr.execute_async(query) + workflows = result.all() + + return [ + self._serialize_workflow(workflow) + for workflow in workflows + ] + + async def get_workflow(self, workflow_uuid: str) -> Optional[dict]: + """Get a single workflow by UUID""" + result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.select(persistence_workflow.Workflow).where( + persistence_workflow.Workflow.uuid == workflow_uuid + ) + ) + + workflow = result.first() + + if workflow is None: + return None + + return self._serialize_workflow(workflow) + + async def create_workflow(self, workflow_data: dict) -> str: + """Create a new workflow""" + # Check limitation + limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {}) + max_workflows = limitation.get('max_workflows', -1) + if max_workflows >= 0: + existing_workflows = await self.get_workflows() + if len(existing_workflows) >= max_workflows: + raise ValueError(f'Maximum number of workflows ({max_workflows}) reached') + + workflow_uuid = str(uuid.uuid4()) + + # Prepare workflow data + new_workflow = { + 'uuid': workflow_uuid, + 'name': workflow_data.get('name', 'New Workflow'), + 'description': workflow_data.get('description', ''), + 'emoji': workflow_data.get('emoji', '🔄'), + 'version': 1, + 'is_enabled': workflow_data.get('is_enabled', True), + 'definition': workflow_data.get('definition', { + 'nodes': [], + 'edges': [], + 'variables': {}, + }), + 'global_config': workflow_data.get('global_config', {}), + 'extensions_preferences': workflow_data.get('extensions_preferences', { + 'enable_all_plugins': True, + 'enable_all_mcp_servers': True, + 'plugins': [], + 'mcp_servers': [], + }), + } + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.insert(persistence_workflow.Workflow).values(**new_workflow) + ) + + return workflow_uuid + + async def update_workflow(self, workflow_uuid: str, workflow_data: dict) -> None: + """Update an existing workflow""" + # Remove protected fields + protected_fields = ['uuid', 'created_at'] + for field in protected_fields: + workflow_data.pop(field, None) + + # Get current workflow to check version + current = await self.get_workflow(workflow_uuid) + if current is None: + raise ValueError(f'Workflow {workflow_uuid} not found') + + # Handle nodes, edges and variables fields - merge them into definition + # This handles the case where frontend sends nodes/edges/variables at top level + nodes = workflow_data.pop('nodes', None) + edges = workflow_data.pop('edges', None) + variables = workflow_data.pop('variables', None) + + # Remove fields that don't exist as database columns + workflow_data.pop('settings', None) + workflow_data.pop('triggers', None) + + if nodes is not None or edges is not None or variables is not None: + # Get current definition or create new one + definition = workflow_data.get('definition', current.get('definition', {})) + if not isinstance(definition, dict): + definition = {} + + # Update nodes, edges and variables in definition + if nodes is not None: + definition['nodes'] = nodes + if edges is not None: + definition['edges'] = edges + if variables is not None: + definition['variables'] = variables + + workflow_data['definition'] = definition + + # Increment version if definition changed + if 'definition' in workflow_data: + workflow_data['version'] = current.get('version', 0) + 1 + + # Save version history + await self._save_version_history( + workflow_uuid, + current.get('version', 1), + current.get('definition', {}), + current.get('global_config', {}) + ) + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.Workflow) + .where(persistence_workflow.Workflow.uuid == workflow_uuid) + .values(**workflow_data) + ) + + async def delete_workflow(self, workflow_uuid: str) -> None: + """Delete a workflow""" + # Delete related records first + await self.ap.persistence_mgr.execute_async( + sqlalchemy.delete(persistence_workflow.WorkflowVersion).where( + persistence_workflow.WorkflowVersion.workflow_uuid == workflow_uuid + ) + ) + await self.ap.persistence_mgr.execute_async( + sqlalchemy.delete(persistence_workflow.WorkflowTrigger).where( + persistence_workflow.WorkflowTrigger.workflow_uuid == workflow_uuid + ) + ) + + # Delete the workflow + await self.ap.persistence_mgr.execute_async( + sqlalchemy.delete(persistence_workflow.Workflow).where( + persistence_workflow.Workflow.uuid == workflow_uuid + ) + ) + + async def copy_workflow(self, workflow_uuid: str) -> str: + """Copy a workflow""" + # Check limitation + limitation = self.ap.instance_config.data.get('system', {}).get('limitation', {}) + max_workflows = limitation.get('max_workflows', -1) + if max_workflows >= 0: + existing_workflows = await self.get_workflows() + if len(existing_workflows) >= max_workflows: + raise ValueError(f'Maximum number of workflows ({max_workflows}) reached') + + # Get original workflow + original = await self.get_workflow(workflow_uuid) + if original is None: + raise ValueError(f'Workflow {workflow_uuid} not found') + + # Create copy + new_uuid = str(uuid.uuid4()) + new_workflow = { + 'uuid': new_uuid, + 'name': f"{original['name']} (Copy)", + 'description': original.get('description', ''), + 'emoji': original.get('emoji', '🔄'), + 'version': 1, + 'is_enabled': False, # Disabled by default + 'definition': original.get('definition', {}), + 'global_config': original.get('global_config', {}), + 'extensions_preferences': original.get('extensions_preferences', { + 'enable_all_plugins': True, + 'enable_all_mcp_servers': True, + 'plugins': [], + 'mcp_servers': [], + }), + } + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.insert(persistence_workflow.Workflow).values(**new_workflow) + ) + + return new_uuid + + async def execute_workflow( + self, + workflow_uuid: str, + trigger_type: str = 'manual', + trigger_data: Optional[dict] = None, + session_id: Optional[str] = None, + user_id: Optional[str] = None, + bot_id: Optional[str] = None + ) -> str: + """Execute a workflow and return execution ID""" + workflow_dict = await self.get_workflow(workflow_uuid) + if workflow_dict is None: + raise ValueError(f'Workflow {workflow_uuid} not found') + + # Create execution record + execution_uuid = str(uuid.uuid4()) + execution_record = { + 'uuid': execution_uuid, + 'workflow_uuid': workflow_uuid, + 'workflow_version': workflow_dict.get('version', 1), + 'status': ExecutionStatus.PENDING.value, + 'trigger_type': trigger_type, + 'trigger_data': trigger_data or {}, + 'variables': {}, + 'start_time': datetime.now(), + } + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.insert(persistence_workflow.WorkflowExecution).values(**execution_record) + ) + + # Build WorkflowDefinition from dict + definition = workflow_dict.get('definition', {}) + workflow = WorkflowDefinition( + uuid=workflow_uuid, + name=workflow_dict.get('name', ''), + description=workflow_dict.get('description', ''), + version=workflow_dict.get('version', 1), + nodes=[ + NodeDefinition( + id=n.get('id', ''), + type=n.get('type', ''), + name=n.get('name', ''), + position=Position(**n.get('position', {'x': 0, 'y': 0})), + config=n.get('config', {}), + ) + for n in definition.get('nodes', []) + ], + edges=[ + EdgeDefinition( + id=e.get('id', ''), + source_node=e.get('source_node', '') or e.get('source', ''), + source_port=e.get('source_port', '') or e.get('sourceHandle', 'output'), + target_node=e.get('target_node', '') or e.get('target', ''), + target_port=e.get('target_port', '') or e.get('targetHandle', 'input'), + condition=e.get('condition') or (e.get('data', {}) or {}).get('condition'), + ) + for e in definition.get('edges', []) + ], + variables=definition.get('variables', {}), + ) + + raw_trigger_data = trigger_data or {} + + # Create execution context + context = ExecutionContext( + execution_id=execution_uuid, + workflow_id=workflow_uuid, + workflow_version=workflow_dict.get('version', 1), + trigger_type=trigger_type, + trigger_data=raw_trigger_data, + session_id=session_id, + user_id=user_id, + bot_id=bot_id, + ) + + if trigger_type == 'message': + message_context_data = raw_trigger_data.get('message_context') or {} + if message_context_data: + context.message_context = MessageContext( + message_id=str(message_context_data.get('message_id', execution_uuid)), + message_content=str(message_context_data.get('message_content', '')), + sender_id=str(message_context_data.get('sender_id', '')), + sender_name=str(message_context_data.get('sender_name', '')), + platform=str(message_context_data.get('platform', '')), + conversation_id=str(message_context_data.get('conversation_id', '')), + is_group=bool(message_context_data.get('is_group', False)), + group_id=( + str(message_context_data.get('group_id')) + if message_context_data.get('group_id') is not None + else None + ), + mentions=[str(item) for item in message_context_data.get('mentions', [])], + reply_to=( + str(message_context_data.get('reply_to')) + if message_context_data.get('reply_to') is not None + else None + ), + raw_message=message_context_data.get('raw_message', {}), + ) + + max_execution_time = self.DEFAULT_MAX_EXECUTION_TIME + workflow_settings = definition.get('settings', {}) if isinstance(definition, dict) else {} + if isinstance(workflow_settings, dict): + raw_timeout = workflow_settings.get('max_execution_time', self.DEFAULT_MAX_EXECUTION_TIME) + try: + max_execution_time = int(raw_timeout) + except (TypeError, ValueError): + max_execution_time = self.DEFAULT_MAX_EXECUTION_TIME + if max_execution_time <= 0: + max_execution_time = self.DEFAULT_MAX_EXECUTION_TIME + + # Execute asynchronously (in production, this should be done in a background task) + try: + context = await asyncio.wait_for( + self.executor.execute(workflow, context), + timeout=max_execution_time, + ) + + error_message = context.error + if context.status == ExecutionStatus.FAILED and not error_message: + failed_nodes = [ + state + for state in context.node_states.values() + if getattr(state, 'status', None) == NodeStatus.FAILED + ] + error_message = next( + ( + state.error + for state in failed_nodes + if getattr(state, 'error', None) + ), + 'Workflow execution failed', + ) + + # Update execution record + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.WorkflowExecution) + .where(persistence_workflow.WorkflowExecution.uuid == execution_uuid) + .values( + status=context.status.value, + end_time=context.end_time, + error=error_message, + variables=context.variables, + ) + ) + + if context.status == ExecutionStatus.FAILED: + raise WorkflowExecutionFailedError( + execution_uuid, + error_message, + details=context.error or error_message, + ) + except asyncio.TimeoutError as e: + timeout_message = f'Workflow execution timed out after {max_execution_time} seconds' + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.WorkflowExecution) + .where(persistence_workflow.WorkflowExecution.uuid == execution_uuid) + .values( + status=ExecutionStatus.CANCELLED.value, + end_time=datetime.now(), + error=timeout_message, + ) + ) + raise WorkflowExecutionFailedError( + execution_uuid, + timeout_message, + details=str(e), + ) from e + except WorkflowExecutionFailedError: + raise + except Exception as e: + # Update execution record with error + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.WorkflowExecution) + .where(persistence_workflow.WorkflowExecution.uuid == execution_uuid) + .values( + status=ExecutionStatus.FAILED.value, + end_time=datetime.now(), + error=str(e), + ) + ) + raise WorkflowExecutionFailedError( + execution_uuid, + str(e), + details=context.error or str(e), + ) from e + + return execution_uuid + + async def get_executions( + self, + workflow_uuid: Optional[str] = None, + limit: int = 50, + offset: int = 0, + status: Optional[str] = None + ) -> dict: + """Get workflow executions with total count""" + base_filter = [] + + if workflow_uuid: + base_filter.append( + persistence_workflow.WorkflowExecution.workflow_uuid == workflow_uuid + ) + + if status: + base_filter.append( + persistence_workflow.WorkflowExecution.status == status + ) + + # Get total count + count_query = sqlalchemy.select( + sqlalchemy.func.count(persistence_workflow.WorkflowExecution.uuid) + ) + for f in base_filter: + count_query = count_query.where(f) + count_result = await self.ap.persistence_mgr.execute_async(count_query) + total = count_result.scalar() or 0 + + # Get paginated results + query = sqlalchemy.select(persistence_workflow.WorkflowExecution) + for f in base_filter: + query = query.where(f) + + query = query.order_by( + persistence_workflow.WorkflowExecution.created_at.desc() + ).limit(limit).offset(offset) + + result = await self.ap.persistence_mgr.execute_async(query) + executions = result.all() + + return { + 'executions': [ + self.ap.persistence_mgr.serialize_model( + persistence_workflow.WorkflowExecution, + execution + ) + for execution in executions + ], + 'total': total, + } + + async def get_execution(self, execution_uuid: str) -> Optional[dict]: + """Get a single execution by UUID""" + result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.select(persistence_workflow.WorkflowExecution).where( + persistence_workflow.WorkflowExecution.uuid == execution_uuid + ) + ) + + execution = result.first() + + if execution is None: + return None + + return self.ap.persistence_mgr.serialize_model( + persistence_workflow.WorkflowExecution, + execution + ) + + async def get_node_types(self) -> list[dict]: + """Get all available node types""" + # Process pending registrations + self.registry.process_pending_registrations() + node_types = self.registry.list_all() + + # Enrich node schemas with pipeline config metadata + return self._enrich_node_type_configs(node_types) + + async def get_node_types_by_category(self) -> dict[str, list[dict]]: + """Get node types organized by category""" + self.registry.process_pending_registrations() + categories = self.registry.get_categories() + + # Enrich node schemas with pipeline config metadata + for category, nodes in categories.items(): + categories[category] = self._enrich_node_type_configs(nodes) + + return categories + + async def get_node_types_by_category_meta(self) -> list[dict]: + """Get workflow node category metadata for the editor UI.""" + self.registry.process_pending_registrations() + categories = self.registry.get_categories() + + ordered_categories = ['trigger', 'process', 'control', 'action', 'integration', 'misc'] + label_map = { + 'trigger': {'en-US': 'Trigger', 'en': 'Trigger', 'zh-Hans': '触发器', 'zh-CN': '触发器'}, + 'process': {'en-US': 'Process', 'en': 'Process', 'zh-Hans': '处理', 'zh-CN': '处理'}, + 'control': {'en-US': 'Control', 'en': 'Control', 'zh-Hans': '控制', 'zh-CN': '控制'}, + 'action': {'en-US': 'Action', 'en': 'Action', 'zh-Hans': '动作', 'zh-CN': '动作'}, + 'integration': {'en-US': 'Integration', 'en': 'Integration', 'zh-Hans': '集成', 'zh-CN': '集成'}, + 'misc': {'en-US': 'Misc', 'en': 'Misc', 'zh-Hans': '其他', 'zh-CN': '其他'}, + } + + result = [] + for order, category_name in enumerate(ordered_categories): + if category_name not in categories: + continue + result.append({ + 'name': category_name, + 'label': label_map.get(category_name, { + 'en-US': category_name, + 'en': category_name, + 'zh-Hans': category_name, + 'zh-CN': category_name, + }), + 'order': order, + }) + + return result + + def _enrich_node_type_configs(self, node_types: list[dict]) -> list[dict]: + """Enrich node schemas with node YAML config metadata if available""" + # Get workflow node configs loaded from YAML files + workflow_node_configs = getattr(self.ap, 'workflow_node_configs', {}) + + for node_schema in node_types: + node_type = node_schema.get('type', '') + + # First, try to load config from dedicated node YAML file + if node_type in workflow_node_configs: + node_config = workflow_node_configs[node_type] + + # Enrich inputs from YAML if Python class has empty inputs + yaml_inputs = node_config.get('inputs', []) + if yaml_inputs and not node_schema.get('inputs'): + node_schema['inputs'] = [ + self._normalize_port_item(inp) for inp in yaml_inputs + ] + + # Enrich outputs from YAML if Python class has empty outputs + yaml_outputs = node_config.get('outputs', []) + if yaml_outputs and not node_schema.get('outputs'): + node_schema['outputs'] = [ + self._normalize_port_item(out) for out in yaml_outputs + ] + + # Enrich config_schema from YAML + yaml_configs = node_config.get('config', []) + + # Normalize and add YAML configs to config_schema + existing_names = {cfg.get('name') for cfg in node_schema.get('config_schema', [])} + for cfg in yaml_configs: + if cfg.get('name') not in existing_names: + normalized_cfg = self._normalize_config_item(cfg) + node_schema['config_schema'].append(normalized_cfg) + existing_names.add(cfg.get('name')) + + # Second, try to load from pipeline config metadata (for backward compatibility) + config_schema_source = node_schema.get('config_schema_source') + config_stages = node_schema.get('config_stages', []) + + if config_schema_source and config_stages: + # Get pipeline config metadata + pipeline_meta = self._get_pipeline_config_meta(config_schema_source) + if pipeline_meta: + # Extract config items from specified stages + enriched_configs = [] + for stage_name in config_stages: + stage_data = self._find_stage_in_pipeline(pipeline_meta, stage_name) + if stage_data and 'config' in stage_data: + enriched_configs.extend(stage_data['config']) + + # Merge with existing config_schema (avoid duplicates by name) + existing_names = {cfg.get('name') for cfg in node_schema.get('config_schema', [])} + for cfg in enriched_configs: + if cfg.get('name') not in existing_names: + # Normalize config item format for frontend compatibility + normalized_cfg = self._normalize_config_item(cfg) + node_schema['config_schema'].append(normalized_cfg) + existing_names.add(cfg.get('name')) + + return node_types + + def _normalize_port_item(self, port: dict) -> dict: + """Normalize a port (input/output) item from YAML format to frontend-compatible format""" + label = port.get('label') + if isinstance(label, dict): + normalized_label = { + 'en_US': label.get('en_US', label.get('en', '')), + 'en': label.get('en_US', label.get('en', '')), + 'zh_Hans': label.get('zh_Hans', label.get('zh', '')), + } + port = {**port, 'label': normalized_label} + else: + name = port.get('name', '') + port = {**port, 'label': { + 'en_US': name, + 'en': name, + 'zh_Hans': name, + }} + + description = port.get('description') + if isinstance(description, dict): + normalized_desc = { + 'en_US': description.get('en_US', description.get('en', '')), + 'en': description.get('en_US', description.get('en', '')), + 'zh_Hans': description.get('zh_Hans', description.get('zh', '')), + } + port = {**port, 'description': normalized_desc} + else: + port = {**port, 'description': { + 'en_US': '', + 'en': '', + 'zh_Hans': '', + }} + + return port + + def _normalize_config_item(self, cfg: dict) -> dict: + """Normalize config item from YAML format to frontend-compatible format""" + # Ensure label is in proper i18n format (using underscore format like en_US, zh_Hans) + label = cfg.get('label') + if isinstance(label, dict): + # Convert YAML label to frontend i18n format + normalized_label = { + 'en_US': label.get('en_US', label.get('en', '')), + 'en': label.get('en_US', label.get('en', '')), + 'zh_Hans': label.get('zh_Hans', label.get('zh', '')), + } + cfg = {**cfg, 'label': normalized_label} + else: + # Create default label from name (handles both None and non-dict cases) + name = cfg.get('name', '') + cfg = {**cfg, 'label': { + 'en_US': name, + 'en': name, + 'zh_Hans': name, + }} + + # Ensure description is in proper i18n format + description = cfg.get('description') + if isinstance(description, dict): + normalized_desc = { + 'en_US': description.get('en_US', description.get('en', '')), + 'en': description.get('en_US', description.get('en', '')), + 'zh_Hans': description.get('zh_Hans', description.get('zh', '')), + } + cfg = {**cfg, 'description': normalized_desc} + else: + cfg = {**cfg, 'description': { + 'en_US': '', + 'en': '', + 'zh_Hans': '', + }} + + # Handle options - convert from list of {name, label} to list of {name, label} + options = cfg.get('options') + if isinstance(options, list) and len(options) > 0 and isinstance(options[0], dict): + normalized_options = [] + for opt in options: + opt_label = opt.get('label') + if isinstance(opt_label, dict): + normalized_opt_label = { + 'en_US': opt_label.get('en_US', opt_label.get('en', '')), + 'en': opt_label.get('en_US', opt_label.get('en', '')), + 'zh_Hans': opt_label.get('zh_Hans', opt_label.get('zh', '')), + } + else: + normalized_opt_label = { + 'en_US': opt.get('name', ''), + 'en': opt.get('name', ''), + 'zh_Hans': opt.get('name', ''), + } + normalized_options.append({**opt, 'label': normalized_opt_label}) + cfg = {**cfg, 'options': normalized_options} + + return cfg + + def _get_pipeline_config_meta(self, source: str) -> Optional[dict]: + """Get pipeline config metadata by source prefix""" + if source.startswith('pipeline:'): + parts = source.split(':') + if len(parts) >= 2: + pipeline_type = parts[1] # e.g., 'trigger', 'ai', 'output', 'safety' + meta_attr = f'pipeline_config_meta_{pipeline_type}' + return getattr(self.ap, meta_attr, None) + return None + + def _find_stage_in_pipeline(self, pipeline_meta: dict, stage_name: str) -> Optional[dict]: + """Find a stage in pipeline config metadata""" + stages = pipeline_meta.get('stages', []) + for stage in stages: + if stage.get('name') == stage_name: + return stage + return None + + async def get_versions(self, workflow_uuid: str) -> list[dict]: + """Get version history for a workflow""" + result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.select(persistence_workflow.WorkflowVersion) + .where(persistence_workflow.WorkflowVersion.workflow_uuid == workflow_uuid) + .order_by(persistence_workflow.WorkflowVersion.version.desc()) + ) + + versions = result.all() + + return [ + self.ap.persistence_mgr.serialize_model( + persistence_workflow.WorkflowVersion, + version + ) + for version in versions + ] + + async def rollback_to_version(self, workflow_uuid: str, version: int) -> None: + """Rollback workflow to a specific version""" + result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.select(persistence_workflow.WorkflowVersion) + .where( + persistence_workflow.WorkflowVersion.workflow_uuid == workflow_uuid, + persistence_workflow.WorkflowVersion.version == version + ) + ) + + version_record = result.first() + + if version_record is None: + raise ValueError(f'Version {version} not found for workflow {workflow_uuid}') + + # Update workflow with the old version's definition + await self.update_workflow(workflow_uuid, { + 'definition': version_record.definition, + 'global_config': version_record.global_config, + }) + + async def _save_version_history( + self, + workflow_uuid: str, + version: int, + definition: dict, + global_config: dict + ) -> None: + """Save workflow version to history""" + # Check if version already exists (database-agnostic) + existing = await self.ap.persistence_mgr.execute_async( + sqlalchemy.select(persistence_workflow.WorkflowVersion).where( + persistence_workflow.WorkflowVersion.workflow_uuid == workflow_uuid, + persistence_workflow.WorkflowVersion.version == version, + ) + ) + if existing.first() is not None: + return + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.insert(persistence_workflow.WorkflowVersion).values( + workflow_uuid=workflow_uuid, + version=version, + definition=definition, + global_config=global_config, + ) + ) + + def _serialize_workflow(self, workflow) -> dict: + """Serialize workflow entity to dict""" + result = self.ap.persistence_mgr.serialize_model( + persistence_workflow.Workflow, + workflow + ) + + # Extract nodes and edges from definition to top level for frontend compatibility + definition = result.get('definition', {}) + if isinstance(definition, dict): + result['nodes'] = definition.get('nodes', []) + result['edges'] = definition.get('edges', []) + result['variables'] = definition.get('variables', {}) + else: + result['nodes'] = [] + result['edges'] = [] + result['variables'] = {} + + return result + + async def update_workflow_extensions( + self, + workflow_uuid: str, + bound_plugins: list[dict], + bound_mcp_servers: Optional[list[str]] = None, + enable_all_plugins: bool = True, + enable_all_mcp_servers: bool = True, + ) -> None: + """Update the bound plugins and MCP servers for a workflow""" + workflow = await self.get_workflow(workflow_uuid) + if workflow is None: + raise ValueError(f'Workflow {workflow_uuid} not found') + + extensions_preferences = workflow.get('extensions_preferences', {}) + extensions_preferences['enable_all_plugins'] = enable_all_plugins + extensions_preferences['enable_all_mcp_servers'] = enable_all_mcp_servers + extensions_preferences['plugins'] = bound_plugins + if bound_mcp_servers is not None: + extensions_preferences['mcp_servers'] = bound_mcp_servers + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.Workflow) + .where(persistence_workflow.Workflow.uuid == workflow_uuid) + .values(extensions_preferences=extensions_preferences) + ) + + async def publish_workflow(self, workflow_uuid: str) -> None: + """Publish a workflow (set is_enabled to True)""" + workflow = await self.get_workflow(workflow_uuid) + if workflow is None: + raise ValueError(f'Workflow {workflow_uuid} not found') + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.Workflow) + .where(persistence_workflow.Workflow.uuid == workflow_uuid) + .values(is_enabled=True) + ) + + async def unpublish_workflow(self, workflow_uuid: str) -> None: + """Unpublish a workflow (set is_enabled to False)""" + workflow = await self.get_workflow(workflow_uuid) + if workflow is None: + raise ValueError(f'Workflow {workflow_uuid} not found') + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.Workflow) + .where(persistence_workflow.Workflow.uuid == workflow_uuid) + .values(is_enabled=False) + ) + + async def get_workflow_stats(self, workflow_uuid: str) -> dict: + """Get workflow statistics""" + # Verify workflow exists + workflow = await self.get_workflow(workflow_uuid) + if workflow is None: + raise ValueError(f'Workflow {workflow_uuid} not found') + + # Get total execution count + total_result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.select(sqlalchemy.func.count(persistence_workflow.WorkflowExecution.uuid)) + .where(persistence_workflow.WorkflowExecution.workflow_uuid == workflow_uuid) + ) + total_executions = total_result.scalar() + + # Get executions by status + status_result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.select( + persistence_workflow.WorkflowExecution.status, + sqlalchemy.func.count(persistence_workflow.WorkflowExecution.uuid) + ) + .where(persistence_workflow.WorkflowExecution.workflow_uuid == workflow_uuid) + .group_by(persistence_workflow.WorkflowExecution.status) + ) + status_counts = {row[0]: row[1] for row in status_result.all()} + + # Get success and failure counts + success_count = status_counts.get('completed', 0) + failed_count = status_counts.get('failed', 0) + pending_count = status_counts.get('pending', 0) + running_count = status_counts.get('running', 0) + cancelled_count = status_counts.get('cancelled', 0) + + # Calculate success rate (as 0-1 ratio for frontend) + success_rate = 0.0 + if total_executions > 0: + success_rate = success_count / total_executions + + # Get average execution time (for completed executions) + avg_time_result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.select( + sqlalchemy.func.avg( + sqlalchemy.func.strftime('%s', persistence_workflow.WorkflowExecution.end_time) - + sqlalchemy.func.strftime('%s', persistence_workflow.WorkflowExecution.start_time) + ) + ) + .where( + persistence_workflow.WorkflowExecution.workflow_uuid == workflow_uuid, + persistence_workflow.WorkflowExecution.status == 'completed', + persistence_workflow.WorkflowExecution.start_time.isnot(None), + persistence_workflow.WorkflowExecution.end_time.isnot(None) + ) + ) + avg_execution_time = avg_time_result.scalar() + # Ensure we always return a valid number, not None + avg_execution_time = float(avg_execution_time) if avg_execution_time is not None else 0.0 + + # Get last execution time + last_execution_result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.select(persistence_workflow.WorkflowExecution.created_at) + .where(persistence_workflow.WorkflowExecution.workflow_uuid == workflow_uuid) + .order_by(persistence_workflow.WorkflowExecution.created_at.desc()) + .limit(1) + ) + last_execution = last_execution_result.first() + + return { + 'total_executions': int(total_executions), + 'successful_executions': int(success_count), + 'failed_executions': int(failed_count), + 'pending_executions': int(pending_count), + 'running_executions': int(running_count), + 'cancelled_executions': int(cancelled_count), + 'success_rate': round(success_rate, 4), # Already 0-1 ratio + 'average_duration_ms': round(avg_execution_time * 1000, 2) if avg_execution_time > 0 else 0, # Convert to milliseconds + 'last_execution_time': last_execution[0] if last_execution else None, + } + + async def start_debug_execution( + self, + workflow_uuid: str, + context: Optional[dict] = None, + variables: Optional[dict] = None, + breakpoints: Optional[list[str]] = None + ) -> str: + """Start a debug execution and return execution ID""" + workflow = await self.get_workflow(workflow_uuid) + if workflow is None: + raise ValueError(f'Workflow {workflow_uuid} not found') + + execution_uuid = str(uuid.uuid4()) + execution_record = { + 'uuid': execution_uuid, + 'workflow_uuid': workflow_uuid, + 'workflow_version': workflow.get('version', 1), + 'status': ExecutionStatus.PENDING.value, + 'trigger_type': 'debug', + 'trigger_data': {'context': context or {}, 'breakpoints': breakpoints or []}, + 'variables': variables or {}, + 'start_time': datetime.now(), + } + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.insert(persistence_workflow.WorkflowExecution).values(**execution_record) + ) + + return execution_uuid + + async def pause_debug_execution(self, workflow_uuid: str, execution_uuid: str) -> None: + """Pause a debug execution""" + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.WorkflowExecution) + .where(persistence_workflow.WorkflowExecution.uuid == execution_uuid) + .values(status='paused') + ) + + async def resume_debug_execution(self, workflow_uuid: str, execution_uuid: str) -> None: + """Resume a paused debug execution""" + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.WorkflowExecution) + .where(persistence_workflow.WorkflowExecution.uuid == execution_uuid) + .values(status='running') + ) + + async def step_debug_execution(self, workflow_uuid: str, execution_uuid: str) -> dict: + """Step through a debug execution""" + return {'status': 'stepped', 'execution_uuid': execution_uuid} + + async def stop_debug_execution(self, workflow_uuid: str, execution_uuid: str) -> None: + """Stop a debug execution""" + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.WorkflowExecution) + .where(persistence_workflow.WorkflowExecution.uuid == execution_uuid) + .values( + status='cancelled', + end_time=datetime.now() + ) + ) + + async def get_debug_state(self, workflow_uuid: str, execution_uuid: str) -> dict: + """Get the current debug state""" + execution = await self.get_execution(execution_uuid) + if execution is None: + raise ValueError(f'Execution {execution_uuid} not found') + + return { + 'execution_uuid': execution_uuid, + 'status': execution.get('status'), + 'variables': execution.get('variables', {}), + } + + async def cancel_execution(self, execution_uuid: str) -> None: + """Cancel a workflow execution""" + execution = await self.get_execution(execution_uuid) + if execution is None: + raise ValueError(f'Execution {execution_uuid} not found') + + if execution.get('status') not in ['pending', 'running']: + raise RuntimeError(f'Cannot cancel execution with status {execution.get("status")}') + + await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.WorkflowExecution) + .where(persistence_workflow.WorkflowExecution.uuid == execution_uuid) + .values( + status='cancelled', + end_time=datetime.now() + ) + ) + + async def rerun_execution(self, workflow_uuid: str, execution_uuid: str) -> str: + """Rerun a workflow execution with the same trigger data""" + original_execution = await self.get_execution(execution_uuid) + if original_execution is None: + raise ValueError(f'Execution {execution_uuid} not found') + + trigger_data = original_execution.get('trigger_data', {}) + new_execution_uuid = await self.execute_workflow( + workflow_uuid, + trigger_type=original_execution.get('trigger_type', 'manual'), + trigger_data=trigger_data + ) + + return new_execution_uuid + + async def cleanup_stale_executions(self, timeout_seconds: int | None = None) -> int: + """Cancel stale pending/running workflow executions.""" + effective_timeout = timeout_seconds or self.STALE_EXECUTION_TIMEOUT_SECONDS + if effective_timeout <= 0: + effective_timeout = self.STALE_EXECUTION_TIMEOUT_SECONDS + + stale_before = datetime.now() - timedelta(seconds=effective_timeout) + stale_statuses = [ + ExecutionStatus.PENDING.value, + ExecutionStatus.RUNNING.value, + ExecutionStatus.WAITING.value, + ] + + result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.update(persistence_workflow.WorkflowExecution) + .where( + persistence_workflow.WorkflowExecution.status.in_(stale_statuses), + persistence_workflow.WorkflowExecution.start_time.isnot(None), + persistence_workflow.WorkflowExecution.start_time < stale_before, + ) + .values( + status=ExecutionStatus.CANCELLED.value, + end_time=datetime.now(), + error=f'Workflow execution auto-cancelled after exceeding {effective_timeout} seconds', + ) + ) + + return int(getattr(result, 'rowcount', 0) or 0) + + async def get_execution_logs( + self, + workflow_uuid: str, + execution_uuid: str, + limit: int = 100, + offset: int = 0 + ) -> dict: + """Get execution logs for a workflow execution""" + execution = await self.get_execution(execution_uuid) + if execution is None: + raise ValueError(f'Execution {execution_uuid} not found') + + query = sqlalchemy.select(persistence_workflow.WorkflowNodeExecution).where( + persistence_workflow.WorkflowNodeExecution.execution_uuid == execution_uuid + ).order_by( + persistence_workflow.WorkflowNodeExecution.id.asc() + ).limit(limit).offset(offset) + + result = await self.ap.persistence_mgr.execute_async(query) + node_executions = result.all() + + logs = [ + self.ap.persistence_mgr.serialize_model( + persistence_workflow.WorkflowNodeExecution, + node_exec + ) + for node_exec in node_executions + ] + + return {'logs': logs, 'total': len(logs)} diff --git a/src/langbot/pkg/core/app.py b/src/langbot/pkg/core/app.py index aa1acd61a..e5ce103c8 100644 --- a/src/langbot/pkg/core/app.py +++ b/src/langbot/pkg/core/app.py @@ -31,6 +31,7 @@ from ..api.http.service import apikey as apikey_service from ..api.http.service import webhook as webhook_service from ..api.http.service import monitoring as monitoring_service +from ..api.http.service import workflow as workflow_service from ..discover import engine as discover_engine from ..storage import mgr as storagemgr @@ -149,6 +150,8 @@ class Application: webhook_service: webhook_service.WebhookService = None + workflow_service: workflow_service.WorkflowService = None + telemetry: telemetry_module.TelemetryManager = None survey: survey_module.SurveyManager = None @@ -218,6 +221,25 @@ async def monitoring_cleanup_loop(): scopes=[core_entities.LifecycleControlScope.APPLICATION], ) + async def workflow_execution_cleanup_loop(): + check_interval_seconds = 60 + while True: + try: + cancelled = await self.workflow_service.cleanup_stale_executions() + if cancelled > 0: + self.logger.info( + f'Workflow execution auto-cleanup: cancelled {cancelled} stale executions' + ) + except Exception as e: + self.logger.warning(f'Workflow execution auto-cleanup error: {e}') + await asyncio.sleep(check_interval_seconds) + + self.task_mgr.create_task( + workflow_execution_cleanup_loop(), + name='workflow-execution-cleanup', + scopes=[core_entities.LifecycleControlScope.APPLICATION], + ) + self.task_mgr.create_task( never_ending(), name='never-ending-task', diff --git a/src/langbot/pkg/core/stages/build_app.py b/src/langbot/pkg/core/stages/build_app.py index 71ff42624..36ff34a47 100644 --- a/src/langbot/pkg/core/stages/build_app.py +++ b/src/langbot/pkg/core/stages/build_app.py @@ -28,6 +28,7 @@ from ...api.http.service import apikey as apikey_service from ...api.http.service import webhook as webhook_service from ...api.http.service import monitoring as monitoring_service +from ...api.http.service import workflow as workflow_service from ...discover import engine as discover_engine from ...storage import mgr as storagemgr from ...utils import logcache @@ -85,6 +86,9 @@ async def run(self, ap: app.Application): webhook_service_inst = webhook_service.WebhookService(ap) ap.webhook_service = webhook_service_inst + workflow_service_inst = workflow_service.WorkflowService(ap) + ap.workflow_service = workflow_service_inst + proxy_mgr = proxy.ProxyManager(ap) await proxy_mgr.initialize() ap.proxy_mgr = proxy_mgr diff --git a/src/langbot/pkg/core/stages/load_config.py b/src/langbot/pkg/core/stages/load_config.py index 26f4a9e19..e9a61b536 100644 --- a/src/langbot/pkg/core/stages/load_config.py +++ b/src/langbot/pkg/core/stages/load_config.py @@ -221,3 +221,52 @@ async def load_resource_yaml_template_data(resource_name: str) -> dict: ap.pipeline_config_meta_safety = await load_resource_yaml_template_data('metadata/pipeline/safety.yaml') ap.pipeline_config_meta_ai = await load_resource_yaml_template_data('metadata/pipeline/ai.yaml') ap.pipeline_config_meta_output = await load_resource_yaml_template_data('metadata/pipeline/output.yaml') + + # Load workflow node configurations from YAML files + ap.workflow_node_configs = {} + node_config_files = [ + # Trigger nodes + 'metadata/nodes/message_trigger.yaml', + 'metadata/nodes/cron_trigger.yaml', + 'metadata/nodes/webhook_trigger.yaml', + 'metadata/nodes/event_trigger.yaml', + # AI/Process nodes + 'metadata/nodes/llm_call.yaml', + 'metadata/nodes/question_classifier.yaml', + 'metadata/nodes/parameter_extractor.yaml', + 'metadata/nodes/knowledge_retrieval.yaml', + 'metadata/nodes/code_executor.yaml', + 'metadata/nodes/data_transform.yaml', + # Control nodes + 'metadata/nodes/condition.yaml', + 'metadata/nodes/switch.yaml', + 'metadata/nodes/loop.yaml', + 'metadata/nodes/parallel.yaml', + 'metadata/nodes/wait.yaml', + 'metadata/nodes/end.yaml', + # Action nodes + 'metadata/nodes/send_message.yaml', + 'metadata/nodes/http_request.yaml', + # Integration nodes - Data & Tools + 'metadata/nodes/database_query.yaml', + 'metadata/nodes/redis_operation.yaml', + 'metadata/nodes/mcp_tool.yaml', + 'metadata/nodes/memory_store.yaml', + # Integration nodes - External services + 'metadata/nodes/dify_workflow.yaml', + 'metadata/nodes/dify_knowledge_query.yaml', + 'metadata/nodes/n8n_workflow.yaml', + 'metadata/nodes/langflow_flow.yaml', + 'metadata/nodes/coze_bot.yaml', + ] + for config_file in node_config_files: + try: + node_config = await load_resource_yaml_template_data(config_file) + node_name = node_config.get('name') + node_category = node_config.get('category', 'misc') + if node_name: + # Use category.name format to match node type format (e.g., integration.coze_bot) + full_type = f'{node_category}.{node_name}' + ap.workflow_node_configs[full_type] = node_config + except Exception as e: + print(f'Failed to load node config {config_file}: {e}') diff --git a/src/langbot/pkg/entity/persistence/bot.py b/src/langbot/pkg/entity/persistence/bot.py index c3fa295f7..22e2372b5 100644 --- a/src/langbot/pkg/entity/persistence/bot.py +++ b/src/langbot/pkg/entity/persistence/bot.py @@ -17,6 +17,13 @@ class Bot(Base): use_pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True) use_pipeline_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=True) pipeline_routing_rules = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, server_default='[]') + + # New unified binding fields + # binding_type: 'pipeline' or 'workflow' + binding_type = sqlalchemy.Column(sqlalchemy.String(32), nullable=False, server_default='pipeline') + # binding_uuid: UUID of the bound Pipeline or Workflow + binding_uuid = sqlalchemy.Column(sqlalchemy.String(64), nullable=True) + created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now()) updated_at = sqlalchemy.Column( sqlalchemy.DateTime, diff --git a/src/langbot/pkg/entity/persistence/workflow.py b/src/langbot/pkg/entity/persistence/workflow.py new file mode 100644 index 000000000..9e38fa3d3 --- /dev/null +++ b/src/langbot/pkg/entity/persistence/workflow.py @@ -0,0 +1,127 @@ +"""Workflow persistence entities""" +import sqlalchemy + +from .base import Base + + +class Workflow(Base): + """Workflow definition""" + + __tablename__ = 'workflows' + + uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True) + name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False) + description = sqlalchemy.Column(sqlalchemy.Text, nullable=True) + emoji = sqlalchemy.Column(sqlalchemy.String(10), nullable=True, default='🔄') + version = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=1) + is_enabled = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=True) + + # Workflow definition stored as JSON + # Contains: nodes, edges, variables, settings + definition = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={}) + + # Global config (inherited from Pipeline capabilities) + # Contains: safety, output configs + global_config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={}) + + # Extensions preferences (same as Pipeline) + extensions_preferences = sqlalchemy.Column( + sqlalchemy.JSON, + nullable=False, + default={'enable_all_plugins': True, 'enable_all_mcp_servers': True, 'plugins': [], 'mcp_servers': []}, + ) + + created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now()) + updated_at = sqlalchemy.Column( + sqlalchemy.DateTime, + nullable=False, + server_default=sqlalchemy.func.now(), + onupdate=sqlalchemy.func.now(), + ) + + +class WorkflowVersion(Base): + """Workflow version history""" + + __tablename__ = 'workflow_versions' + + id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True, autoincrement=True) + workflow_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True) + version = sqlalchemy.Column(sqlalchemy.Integer, nullable=False) + definition = sqlalchemy.Column(sqlalchemy.JSON, nullable=False) + global_config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={}) + created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now()) + created_by = sqlalchemy.Column(sqlalchemy.String(255), nullable=True) + + __table_args__ = ( + sqlalchemy.UniqueConstraint('workflow_uuid', 'version', name='uq_workflow_version'), + ) + + +class WorkflowTrigger(Base): + """Workflow trigger configuration""" + + __tablename__ = 'workflow_triggers' + + uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True) + workflow_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True) + type = sqlalchemy.Column(sqlalchemy.String(50), nullable=False) # message, cron, event, webhook + config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={}) + is_enabled = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=True) + priority = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=0) + created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now()) + updated_at = sqlalchemy.Column( + sqlalchemy.DateTime, + nullable=False, + server_default=sqlalchemy.func.now(), + onupdate=sqlalchemy.func.now(), + ) + + +class WorkflowExecution(Base): + """Workflow execution record""" + + __tablename__ = 'workflow_executions' + + uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True) + workflow_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True) + workflow_version = sqlalchemy.Column(sqlalchemy.Integer, nullable=False) + status = sqlalchemy.Column(sqlalchemy.String(20), nullable=False) # pending, running, completed, failed, cancelled + trigger_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=True) + trigger_data = sqlalchemy.Column(sqlalchemy.JSON, nullable=True) + variables = sqlalchemy.Column(sqlalchemy.JSON, nullable=True) + start_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True) + end_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True) + error = sqlalchemy.Column(sqlalchemy.Text, nullable=True) + created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now()) + + +class WorkflowNodeExecution(Base): + """Workflow node execution record""" + + __tablename__ = 'workflow_node_executions' + + id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True, autoincrement=True) + execution_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True) + node_id = sqlalchemy.Column(sqlalchemy.String(100), nullable=False) + node_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=False) + status = sqlalchemy.Column(sqlalchemy.String(20), nullable=False) # pending, running, completed, failed, skipped + inputs = sqlalchemy.Column(sqlalchemy.JSON, nullable=True) + outputs = sqlalchemy.Column(sqlalchemy.JSON, nullable=True) + start_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True) + end_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True) + error = sqlalchemy.Column(sqlalchemy.Text, nullable=True) + retry_count = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=0) + + +class ScheduledJob(Base): + """Scheduled job for cron triggers""" + + __tablename__ = 'workflow_scheduled_jobs' + + uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True) + trigger_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True) + cron_expression = sqlalchemy.Column(sqlalchemy.String(100), nullable=True) + next_run_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True) + last_run_time = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True) + is_enabled = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=True) diff --git a/src/langbot/pkg/persistence/migrations/dbm026_workflow_tables.py b/src/langbot/pkg/persistence/migrations/dbm026_workflow_tables.py new file mode 100644 index 000000000..65f82117f --- /dev/null +++ b/src/langbot/pkg/persistence/migrations/dbm026_workflow_tables.py @@ -0,0 +1,141 @@ +"""Add workflow tables and update bot binding fields""" +import sqlalchemy +from .. import migration + + +@migration.migration_class(26) +class DBMigrateWorkflowTables(migration.DBMigration): + """Add workflow tables and update bot binding fields""" + + async def upgrade(self): + # Create workflows table + await self.ap.persistence_mgr.execute_async(sqlalchemy.text(""" + CREATE TABLE IF NOT EXISTS workflows ( + uuid VARCHAR(255) PRIMARY KEY, + name VARCHAR(255) NOT NULL, + description TEXT, + emoji VARCHAR(10) DEFAULT '🔄', + version INTEGER NOT NULL DEFAULT 1, + is_enabled BOOLEAN NOT NULL DEFAULT 1, + definition JSON NOT NULL DEFAULT '{}', + global_config JSON NOT NULL DEFAULT '{}', + extensions_preferences JSON NOT NULL DEFAULT '{"enable_all_plugins": true, "enable_all_mcp_servers": true, "plugins": [], "mcp_servers": []}', + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ) + """)) + + # Create workflow_versions table + await self.ap.persistence_mgr.execute_async(sqlalchemy.text(""" + CREATE TABLE IF NOT EXISTS workflow_versions ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + workflow_uuid VARCHAR(255) NOT NULL, + version INTEGER NOT NULL, + definition JSON NOT NULL, + global_config JSON NOT NULL DEFAULT '{}', + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + created_by VARCHAR(255), + UNIQUE(workflow_uuid, version) + ) + """)) + + # Create workflow_triggers table + await self.ap.persistence_mgr.execute_async(sqlalchemy.text(""" + CREATE TABLE IF NOT EXISTS workflow_triggers ( + uuid VARCHAR(255) PRIMARY KEY, + workflow_uuid VARCHAR(255) NOT NULL, + type VARCHAR(50) NOT NULL, + config JSON NOT NULL DEFAULT '{}', + is_enabled BOOLEAN NOT NULL DEFAULT 1, + priority INTEGER NOT NULL DEFAULT 0, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ) + """)) + + # Create workflow_executions table + await self.ap.persistence_mgr.execute_async(sqlalchemy.text(""" + CREATE TABLE IF NOT EXISTS workflow_executions ( + uuid VARCHAR(255) PRIMARY KEY, + workflow_uuid VARCHAR(255) NOT NULL, + workflow_version INTEGER NOT NULL, + status VARCHAR(20) NOT NULL, + trigger_type VARCHAR(50), + trigger_data JSON, + variables JSON, + start_time TIMESTAMP, + end_time TIMESTAMP, + error TEXT, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ) + """)) + + # Create workflow_node_executions table + await self.ap.persistence_mgr.execute_async(sqlalchemy.text(""" + CREATE TABLE IF NOT EXISTS workflow_node_executions ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + execution_uuid VARCHAR(255) NOT NULL, + node_id VARCHAR(100) NOT NULL, + node_type VARCHAR(50) NOT NULL, + status VARCHAR(20) NOT NULL, + inputs JSON, + outputs JSON, + start_time TIMESTAMP, + end_time TIMESTAMP, + error TEXT, + retry_count INTEGER NOT NULL DEFAULT 0 + ) + """)) + + # Create workflow_scheduled_jobs table + await self.ap.persistence_mgr.execute_async(sqlalchemy.text(""" + CREATE TABLE IF NOT EXISTS workflow_scheduled_jobs ( + uuid VARCHAR(255) PRIMARY KEY, + trigger_uuid VARCHAR(255) NOT NULL, + cron_expression VARCHAR(100), + next_run_time TIMESTAMP, + last_run_time TIMESTAMP, + is_enabled BOOLEAN NOT NULL DEFAULT 1 + ) + """)) + + # Create indexes + await self.ap.persistence_mgr.execute_async(sqlalchemy.text( + "CREATE INDEX IF NOT EXISTS idx_workflow_versions_uuid ON workflow_versions(workflow_uuid)" + )) + await self.ap.persistence_mgr.execute_async(sqlalchemy.text( + "CREATE INDEX IF NOT EXISTS idx_workflow_triggers_uuid ON workflow_triggers(workflow_uuid)" + )) + await self.ap.persistence_mgr.execute_async(sqlalchemy.text( + "CREATE INDEX IF NOT EXISTS idx_workflow_executions_uuid ON workflow_executions(workflow_uuid)" + )) + await self.ap.persistence_mgr.execute_async(sqlalchemy.text( + "CREATE INDEX IF NOT EXISTS idx_workflow_node_executions_uuid ON workflow_node_executions(execution_uuid)" + )) + await self.ap.persistence_mgr.execute_async(sqlalchemy.text( + "CREATE INDEX IF NOT EXISTS idx_workflow_scheduled_jobs_trigger ON workflow_scheduled_jobs(trigger_uuid)" + )) + + # Update bots table: add binding_type column (default to 'pipeline' for backward compatibility) + # Check if column exists first (SQLite doesn't support IF NOT EXISTS for columns) + try: + result = await self.ap.persistence_mgr.execute_async( + sqlalchemy.text("SELECT binding_type FROM bots LIMIT 1") + ) + except Exception: + # Column doesn't exist, add it + await self.ap.persistence_mgr.execute_async(sqlalchemy.text( + "ALTER TABLE bots ADD COLUMN binding_type VARCHAR(20) NOT NULL DEFAULT 'pipeline'" + )) + + async def downgrade(self): + # Drop tables in reverse order + await self.ap.persistence_mgr.execute_async(sqlalchemy.text("DROP TABLE IF EXISTS workflow_scheduled_jobs")) + await self.ap.persistence_mgr.execute_async(sqlalchemy.text("DROP TABLE IF EXISTS workflow_node_executions")) + await self.ap.persistence_mgr.execute_async(sqlalchemy.text("DROP TABLE IF EXISTS workflow_executions")) + await self.ap.persistence_mgr.execute_async(sqlalchemy.text("DROP TABLE IF EXISTS workflow_triggers")) + await self.ap.persistence_mgr.execute_async(sqlalchemy.text("DROP TABLE IF EXISTS workflow_versions")) + await self.ap.persistence_mgr.execute_async(sqlalchemy.text("DROP TABLE IF EXISTS workflows")) + + # Remove binding_type column from bots (SQLite doesn't support DROP COLUMN directly) + # This would need a table recreation in SQLite, so we'll skip it in downgrade diff --git a/src/langbot/pkg/persistence/migrations/dbm027_bot_binding_fields.py b/src/langbot/pkg/persistence/migrations/dbm027_bot_binding_fields.py new file mode 100644 index 000000000..6e90c963e --- /dev/null +++ b/src/langbot/pkg/persistence/migrations/dbm027_bot_binding_fields.py @@ -0,0 +1,46 @@ +"""Add binding_uuid field to bots table and migrate data""" +import sqlalchemy +from .. import migration + + +@migration.migration_class(27) +class DBMigrateBotBindingFields(migration.DBMigration): + """Add binding_uuid field to bots table and migrate existing data""" + + async def upgrade(self): + # Add binding_uuid column to bots table + # Check if column exists first (SQLite doesn't support IF NOT EXISTS for columns) + try: + await self.ap.persistence_mgr.execute_async( + sqlalchemy.text("SELECT binding_uuid FROM bots LIMIT 1") + ) + except Exception: + # Column doesn't exist, add it + await self.ap.persistence_mgr.execute_async(sqlalchemy.text( + "ALTER TABLE bots ADD COLUMN binding_uuid VARCHAR(64)" + )) + + # Migrate existing data: copy use_pipeline_uuid to binding_uuid for records + # that have a pipeline bound and binding_uuid is not set yet + await self.ap.persistence_mgr.execute_async(sqlalchemy.text(""" + UPDATE bots + SET binding_uuid = use_pipeline_uuid + WHERE use_pipeline_uuid IS NOT NULL + AND use_pipeline_uuid != '' + AND (binding_uuid IS NULL OR binding_uuid = '') + """)) + + # Ensure binding_type is 'pipeline' for records that were migrated + await self.ap.persistence_mgr.execute_async(sqlalchemy.text(""" + UPDATE bots + SET binding_type = 'pipeline' + WHERE binding_uuid IS NOT NULL + AND binding_uuid != '' + AND (binding_type IS NULL OR binding_type = '') + """)) + + async def downgrade(self): + # SQLite doesn't support DROP COLUMN directly + # This would need a table recreation in SQLite, so we'll skip it in downgrade + # The column will remain but won't be used + pass diff --git a/src/langbot/pkg/platform/botmgr.py b/src/langbot/pkg/platform/botmgr.py index 6ae0f4c24..19ab5ae0b 100644 --- a/src/langbot/pkg/platform/botmgr.py +++ b/src/langbot/pkg/platform/botmgr.py @@ -2,7 +2,6 @@ import asyncio import json -import re import traceback import sqlalchemy @@ -54,29 +53,24 @@ def __init__( self.task_context = taskmgr.TaskContext() self.logger = logger - @staticmethod - def _match_operator(actual: str, operator: str, expected: str) -> bool: - """Evaluate a single operator condition.""" - if operator == 'eq': - return actual == expected - elif operator == 'neq': - return actual != expected - elif operator == 'contains': - return expected in actual - elif operator == 'not_contains': - return expected not in actual - elif operator == 'starts_with': - return actual.startswith(expected) - elif operator == 'regex': - try: - return bool(re.search(expected, actual)) - except re.error: - return False - return False - PIPELINE_DISCARD = '__discard__' PIPELINE_DISCARD_DISPLAY_NAME = 'Discarded' + def get_binding_info(self) -> tuple[str, str | None]: + """Get the binding type and UUID for this bot. + + Returns: + tuple: (binding_type, binding_uuid) where binding_type is 'pipeline' or 'workflow' + """ + binding_type = getattr(self.bot_entity, 'binding_type', 'pipeline') or 'pipeline' + binding_uuid = getattr(self.bot_entity, 'binding_uuid', None) + + # Fallback to use_pipeline_uuid for backward compatibility + if not binding_uuid and binding_type == 'pipeline': + binding_uuid = self.bot_entity.use_pipeline_uuid + + return binding_type, binding_uuid + def resolve_pipeline_uuid( self, launcher_type: str, @@ -84,56 +78,26 @@ def resolve_pipeline_uuid( message_text: str, message_element_types: list[str] | None = None, ) -> tuple[str | None, bool]: - """Resolve pipeline UUID based on routing rules. + """Resolve pipeline UUID for message processing. - Rules are evaluated in order; first match wins. - Falls back to use_pipeline_uuid if no rule matches. - - Rule types: - - launcher_type: session type ("person" / "group") - - launcher_id: session / group id - - message_content: message text content - - message_has_element: message contains element of given type - (Image, Voice, File, Forward, Face, At, AtAll, Quote) - Operators: eq (has), neq (doesn't have) - - Operators: eq, neq, contains, not_contains, starts_with, regex - - When pipeline_uuid is ``__discard__``, the message should be - silently dropped by the caller. + NOTE: Routing rules have been removed. Bot now directly binds to a + Pipeline or Workflow. This method is kept for backward compatibility + but only returns the direct binding. Returns: - tuple: (pipeline_uuid, routed_by_rule) - routed_by_rule is True - when a routing rule matched, False when falling back to default. + tuple: (pipeline_uuid, routed_by_rule) - routed_by_rule is always False + as routing rules are no longer used. """ - rules = self.bot_entity.pipeline_routing_rules or [] - element_type_set = set(message_element_types or []) - - for rule in rules: - rule_type = rule.get('type') - operator = rule.get('operator', 'eq') - rule_value = rule.get('value', '') - target_uuid = rule.get('pipeline_uuid') - if not rule_type or not target_uuid: - continue - - if rule_type == 'launcher_type': - if self._match_operator(launcher_type, operator, rule_value): - return target_uuid, True - elif rule_type == 'launcher_id': - if self._match_operator(str(launcher_id), operator, str(rule_value)): - return target_uuid, True - elif rule_type == 'message_content': - if self._match_operator(message_text, operator, rule_value): - return target_uuid, True - elif rule_type == 'message_has_element': - has_element = rule_value in element_type_set - if operator == 'eq' and has_element: - return target_uuid, True - elif operator == 'neq' and not has_element: - return target_uuid, True - - return self.bot_entity.use_pipeline_uuid, False + binding_type, binding_uuid = self.get_binding_info() + + # If bound to workflow, return None for pipeline_uuid + # The caller should check binding_type and handle accordingly + if binding_type == 'workflow': + # For workflow binding, we still need to return something + # The actual workflow handling should be done by the caller + return None, False + + return binding_uuid, False async def _record_discarded_message( self, diff --git a/src/langbot/pkg/platform/sources/websocket_adapter.py b/src/langbot/pkg/platform/sources/websocket_adapter.py index 01da9f102..072296909 100644 --- a/src/langbot/pkg/platform/sources/websocket_adapter.py +++ b/src/langbot/pkg/platform/sources/websocket_adapter.py @@ -369,6 +369,7 @@ async def handle_websocket_message( """ pipeline_uuid = connection.pipeline_uuid session_type = connection.session_type + is_workflow = bool(connection.metadata.get('is_workflow')) # 获取stream参数，默认为True self.stream_enabled = message_data.get('stream', True) @@ -410,6 +411,61 @@ async def handle_websocket_message( session_type=session_type, ) + if is_workflow: + # 设置 pipeline_uuid，以便工作流节点发送消息时能正确广播 + self.ap.platform_mgr.websocket_proxy_bot.bot_entity.use_pipeline_uuid = pipeline_uuid + + message_content = str(message_chain) + message_context = { + 'message_id': str(message_id), + 'message_content': message_content, + 'sender_id': f'websocket_{connection.connection_id}', + 'sender_name': 'User', + 'platform': 'websocket', + 'conversation_id': connection.connection_id, + 'is_group': session_type == 'group', + 'group_id': 'websocketgroup' if session_type == 'group' else None, + 'mentions': [], + 'reply_to': None, + 'raw_message': { + 'message': message_chain_obj, + 'connection_id': connection.connection_id, + 'session_type': session_type, + }, + } + + trigger_data = { + 'message': message_content, + 'message_chain': message_chain_obj, + 'session_type': session_type, + 'connection_id': connection.connection_id, + 'message_context': message_context, + } + + try: + from ...api.http.service.workflow import WorkflowExecutionFailedError + + execution_id = await self.ap.workflow_service.execute_workflow( + pipeline_uuid, + trigger_type='message', + trigger_data=trigger_data, + session_id=f'{session_type}_{connection.connection_id}', + user_id=message_context['sender_id'], + bot_id=self.ap.platform_mgr.websocket_proxy_bot.bot_entity.uuid, + ) + await connection.send_queue.put( + { + 'type': 'broadcast', + 'message': f'Workflow execution started: {execution_id}', + } + ) + except WorkflowExecutionFailedError as e: + await connection.send_queue.put({'type': 'error', 'message': e.message}) + except Exception as e: + logger.error(f'Workflow websocket execution error: {e}', exc_info=True) + await connection.send_queue.put({'type': 'error', 'message': str(e)}) + return + # 添加消息源 message_chain.insert(0, platform_message.Source(id=message_id, time=datetime.now().timestamp())) diff --git a/src/langbot/pkg/workflow/__init__.py b/src/langbot/pkg/workflow/__init__.py new file mode 100644 index 000000000..3c5129174 --- /dev/null +++ b/src/langbot/pkg/workflow/__init__.py @@ -0,0 +1,53 @@ +"""Workflow package for LangBot + +This package provides a visual workflow system for LangBot, including: +- Workflow definition models +- Execution engine +- Node types (trigger, process, control, action, integration) +- Trigger system for automation +""" + +from .entities import ( + WorkflowDefinition, + NodeDefinition, + EdgeDefinition, + Position, + PortDefinition, + TriggerDefinition, + WorkflowSettings, + ExecutionContext, + NodeState, + ExecutionStatus, + NodeStatus, +) + +from .node import WorkflowNode, NodePort, NodeConfig, workflow_node +from .registry import NodeTypeRegistry +from .executor import WorkflowExecutor + +# Import nodes module to trigger node registration +from . import nodes as nodes + +__all__ = [ + # Entities + 'WorkflowDefinition', + 'NodeDefinition', + 'EdgeDefinition', + 'Position', + 'PortDefinition', + 'TriggerDefinition', + 'WorkflowSettings', + 'ExecutionContext', + 'NodeState', + 'ExecutionStatus', + 'NodeStatus', + # Node + 'WorkflowNode', + 'NodePort', + 'NodeConfig', + 'workflow_node', + # Registry + 'NodeTypeRegistry', + # Executor + 'WorkflowExecutor', +] diff --git a/src/langbot/pkg/workflow/entities.py b/src/langbot/pkg/workflow/entities.py new file mode 100644 index 000000000..b8bffbedf --- /dev/null +++ b/src/langbot/pkg/workflow/entities.py @@ -0,0 +1,278 @@ +"""Workflow entities and data models""" +from __future__ import annotations + +import enum +from datetime import datetime +from typing import Any, Optional +import pydantic + + +class Position(pydantic.BaseModel): + """Node position on canvas""" + x: float = 0 + y: float = 0 + + +class PortDefinition(pydantic.BaseModel): + """Node port definition""" + name: str + type: str = "any" # any, string, number, boolean, object, array + description: str = "" + required: bool = True + + +class NodeDefinition(pydantic.BaseModel): + """Workflow node definition""" + id: str + type: str + name: str = "" + position: Position = Position() + config: dict[str, Any] = {} + inputs: list[PortDefinition] = [] + outputs: list[PortDefinition] = [] + + # UI metadata + description: str = "" + comment: str = "" # User comment/annotation + + +class EdgeDefinition(pydantic.BaseModel): + """Workflow edge definition (connection between nodes)""" + id: str + source_node: str + source_port: str = "output" + target_node: str + target_port: str = "input" + condition: Optional[str] = None # Optional condition expression + + +class TriggerDefinition(pydantic.BaseModel): + """Workflow trigger definition""" + id: str + type: str # message, cron, event, webhook + config: dict[str, Any] = {} + enabled: bool = True + + +class WorkflowSettings(pydantic.BaseModel): + """Workflow settings""" + # Execution settings + max_execution_time: int = 300 # seconds + max_retries: int = 3 + retry_delay: int = 5 # seconds + + # Error handling + error_handling: str = "stop" # stop, continue, retry + + # Logging + log_level: str = "info" + save_execution_history: bool = True + + # Concurrency + max_concurrent_executions: int = 10 + + +class SafetyConfig(pydantic.BaseModel): + """Safety configuration (inherited from Pipeline)""" + content_filter: dict[str, Any] = { + "enable": False, + "sensitive_words": [], + "replace_with": "***" + } + rate_limit: dict[str, Any] = { + "enable": False, + "requests_per_minute": 60, + "burst_limit": 10 + } + + +class OutputConfig(pydantic.BaseModel): + """Output configuration (inherited from Pipeline)""" + long_text_processing: dict[str, Any] = { + "strategy": "split", # split, truncate, file + "max_length": 4000, + "split_separator": "\n\n" + } + force_delay: dict[str, Any] = { + "enable": False, + "min_delay_ms": 0, + "max_delay_ms": 0 + } + misc: dict[str, Any] = {} + + +class WorkflowGlobalConfig(pydantic.BaseModel): + """Workflow global configuration (inherited from Pipeline capabilities)""" + safety: SafetyConfig = SafetyConfig() + output: OutputConfig = OutputConfig() + + +class ExtensionsPreferences(pydantic.BaseModel): + """Extensions preferences (same as Pipeline)""" + enable_all_plugins: bool = True + enable_all_mcp_servers: bool = True + plugins: list[str] = [] + mcp_servers: list[str] = [] + + +class ConversationVariable(pydantic.BaseModel): + """Conversation-level variable definition""" + name: str + type: str = "string" # string, number, boolean, object, array + description: str = "" + default_value: Any = None + max_length: Optional[int] = None # For strings + + +class WorkflowDefinition(pydantic.BaseModel): + """Complete workflow definition""" + uuid: str + name: str + description: str = "" + emoji: str = "🔄" + version: int = 1 + + # Workflow graph + nodes: list[NodeDefinition] = [] + edges: list[EdgeDefinition] = [] + + # Variables + variables: dict[str, Any] = {} # Global variables + conversation_variables: list[ConversationVariable] = [] # Session-level variables + + # Settings + settings: WorkflowSettings = WorkflowSettings() + + # Triggers (for automation) + triggers: list[TriggerDefinition] = [] + + # Global configuration (inherited from Pipeline) + global_config: WorkflowGlobalConfig = WorkflowGlobalConfig() + + # Extensions + extensions_preferences: ExtensionsPreferences = ExtensionsPreferences() + + # Metadata + is_enabled: bool = True + created_at: Optional[datetime] = None + updated_at: Optional[datetime] = None + + # Source tracking (for imported workflows) + source: Optional[str] = None # dify, n8n, langflow, etc. + source_id: Optional[str] = None + + +class ExecutionStatus(enum.Enum): + """Workflow execution status""" + PENDING = "pending" + RUNNING = "running" + WAITING = "waiting" + COMPLETED = "completed" + FAILED = "failed" + CANCELLED = "cancelled" + + +class NodeStatus(enum.Enum): + """Node execution status""" + PENDING = "pending" + RUNNING = "running" + COMPLETED = "completed" + FAILED = "failed" + SKIPPED = "skipped" + + +class NodeState(pydantic.BaseModel): + """Runtime state of a node during execution""" + node_id: str + status: NodeStatus = NodeStatus.PENDING + inputs: dict[str, Any] = {} + outputs: dict[str, Any] = {} + start_time: Optional[datetime] = None + end_time: Optional[datetime] = None + error: Optional[str] = None + retry_count: int = 0 + + +class MessageContext(pydantic.BaseModel): + """Message context for message-triggered workflows""" + message_id: str + message_content: str + sender_id: str + sender_name: str = "" + platform: str = "" + conversation_id: str = "" + is_group: bool = False + group_id: Optional[str] = None + mentions: list[str] = [] + reply_to: Optional[str] = None + raw_message: dict[str, Any] = {} + + +class ExecutionStep(pydantic.BaseModel): + """Execution history step""" + timestamp: datetime + node_id: str + node_type: str + status: str + inputs: dict[str, Any] = {} + outputs: dict[str, Any] = {} + duration_ms: int = 0 + error: Optional[str] = None + + +class ExecutionContext(pydantic.BaseModel): + """Workflow execution context""" + execution_id: str + workflow_id: str + workflow_version: int = 1 + status: ExecutionStatus = ExecutionStatus.PENDING + + # Runtime data + variables: dict[str, Any] = {} + conversation_variables: dict[str, Any] = {} # Session-level persistent variables + node_states: dict[str, NodeState] = {} + memory: dict[str, Any] = {} # Workflow memory for storing/retrieving data + + # Timing + start_time: Optional[datetime] = None + end_time: Optional[datetime] = None + + # Error + error: Optional[str] = None + + # Message context (if triggered by message) + message_context: Optional[MessageContext] = None + + # Trigger info + trigger_type: Optional[str] = None + trigger_data: dict[str, Any] = {} + + # Execution history + history: list[ExecutionStep] = [] + + # Session info + session_id: Optional[str] = None + user_id: Optional[str] = None + bot_id: Optional[str] = None + + def get_node_output(self, node_id: str, output_name: str = "output") -> Any: + """Get output from a specific node""" + if node_id in self.node_states: + return self.node_states[node_id].outputs.get(output_name) + return None + + def set_variable(self, name: str, value: Any): + """Set a workflow variable""" + self.variables[name] = value + + def get_variable(self, name: str, default: Any = None) -> Any: + """Get a workflow variable""" + return self.variables.get(name, default) + + def set_conversation_variable(self, name: str, value: Any): + """Set a conversation-level variable (persisted across executions)""" + self.conversation_variables[name] = value + + def get_conversation_variable(self, name: str, default: Any = None) -> Any: + """Get a conversation-level variable""" + return self.conversation_variables.get(name, default) diff --git a/src/langbot/pkg/workflow/executor.py b/src/langbot/pkg/workflow/executor.py new file mode 100644 index 000000000..e7d63f81a --- /dev/null +++ b/src/langbot/pkg/workflow/executor.py @@ -0,0 +1,1283 @@ +"""Workflow execution engine""" +from __future__ import annotations + +import ast +import asyncio +import logging +import operator +import traceback +import uuid +from datetime import datetime +from typing import Any, Optional, TYPE_CHECKING + +from .entities import ( + WorkflowDefinition, + NodeDefinition, + EdgeDefinition, + ExecutionContext, + ExecutionStatus, + NodeState, + NodeStatus, + ExecutionStep, +) +from .registry import NodeTypeRegistry + +if TYPE_CHECKING: + from ..core import app + +logger = logging.getLogger(__name__) + + +class ExecutionLog: + """Execution log entry""" + + def __init__( + self, + level: str, + message: str, + node_id: Optional[str] = None, + data: Optional[dict] = None + ): + self.id = str(uuid.uuid4()) + self.timestamp = datetime.now().isoformat() + self.level = level + self.message = message + self.node_id = node_id + self.data = data or {} + + def to_dict(self) -> dict: + return { + 'id': self.id, + 'timestamp': self.timestamp, + 'level': self.level, + 'message': self.message, + 'node_id': self.node_id, + 'data': self.data, + } + + +class DebugExecutionState: + """State for a debug execution""" + + def __init__(self, execution_id: str, breakpoints: list[str] = None): + self.execution_id = execution_id + self.status: str = 'running' + self.is_paused: bool = False + self.is_stopped: bool = False + self.current_node_id: Optional[str] = None + self.breakpoints: set[str] = set(breakpoints or []) + self.logs: list[ExecutionLog] = [] + self.pending_logs: list[ExecutionLog] = [] + self._pause_event = asyncio.Event() + self._pause_event.set() # Initially not paused + self._stop_event = asyncio.Event() + + def add_log(self, level: str, message: str, node_id: str = None, data: dict = None): + """Add a log entry""" + log = ExecutionLog(level, message, node_id, data) + self.logs.append(log) + self.pending_logs.append(log) + logger.log( + getattr(logging, level.upper(), logging.INFO), + f"[Workflow Debug] {message}", + extra={'node_id': node_id, 'data': data} + ) + + def get_pending_logs(self) -> list[dict]: + """Get and clear pending logs""" + logs = [log.to_dict() for log in self.pending_logs] + self.pending_logs = [] + return logs + + def pause(self): + """Pause execution""" + self.is_paused = True + self._pause_event.clear() + self.add_log('info', 'Execution paused') + + def resume(self): + """Resume execution""" + self.is_paused = False + self._pause_event.set() + self.add_log('info', 'Execution resumed') + + def stop(self): + """Stop execution""" + self.is_stopped = True + self.status = 'cancelled' + self._stop_event.set() + self._pause_event.set() # Release any pause + self.add_log('info', 'Execution stopped') + + async def wait_if_paused(self): + """Wait if execution is paused""" + if self.is_paused: + self.add_log('info', 'Waiting for resume...') + await self._pause_event.wait() + + def check_breakpoint(self, node_id: str) -> bool: + """Check if there's a breakpoint at the given node""" + return node_id in self.breakpoints + + +# ─── Safe expression evaluator (replaces eval()) ───────────────────── +# Uses Python's ast module to whitelist only comparison / boolean / arithmetic +# operations. No function calls, attribute access, or subscript injection. + +_SAFE_OPS = { + ast.Add: operator.add, + ast.Sub: operator.sub, + ast.Mult: operator.mul, + ast.Div: operator.truediv, + ast.FloorDiv: operator.floordiv, + ast.Mod: operator.mod, + ast.Pow: operator.pow, + ast.USub: operator.neg, + ast.UAdd: operator.pos, + ast.Not: operator.not_, + ast.Eq: operator.eq, + ast.NotEq: operator.ne, + ast.Lt: operator.lt, + ast.LtE: operator.le, + ast.Gt: operator.gt, + ast.GtE: operator.ge, + ast.Is: operator.is_, + ast.IsNot: operator.is_not, + ast.In: lambda a, b: a in b, + ast.NotIn: lambda a, b: a not in b, +} + + +def _safe_eval(expr: str) -> Any: + """Evaluate a simple expression safely via AST whitelist. + + Supports: literals, comparisons (==, !=, <, >, <=, >=, in, not in, is, is not), + boolean logic (and, or, not), arithmetic (+, -, *, /, //, %, **), and + string operations (contains via ``in``). + + Raises ``ValueError`` on any disallowed construct (function calls, + attribute access, imports, etc.). + """ + tree = ast.parse(expr.strip(), mode='eval') + return _eval_node(tree.body) + + +def _eval_node(node: ast.AST) -> Any: + # Literals: numbers, strings, True/False/None + if isinstance(node, ast.Constant): + return node.value + + # Unary operators: -x, +x, not x + if isinstance(node, ast.UnaryOp): + op_fn = _SAFE_OPS.get(type(node.op)) + if op_fn is None: + raise ValueError(f"Unsupported unary op: {type(node.op).__name__}") + return op_fn(_eval_node(node.operand)) + + # Binary operators: x + y, x * y, etc. + if isinstance(node, ast.BinOp): + op_fn = _SAFE_OPS.get(type(node.op)) + if op_fn is None: + raise ValueError(f"Unsupported binary op: {type(node.op).__name__}") + return op_fn(_eval_node(node.left), _eval_node(node.right)) + + # Comparisons: x == y, x > y, x in y, etc. (chained) + if isinstance(node, ast.Compare): + left = _eval_node(node.left) + for op, comparator in zip(node.ops, node.comparators): + op_fn = _SAFE_OPS.get(type(op)) + if op_fn is None: + raise ValueError(f"Unsupported comparison: {type(op).__name__}") + right = _eval_node(comparator) + if not op_fn(left, right): + return False + left = right + return True + + # Boolean operators: x and y, x or y + if isinstance(node, ast.BoolOp): + if isinstance(node.op, ast.And): + return all(_eval_node(v) for v in node.values) + if isinstance(node.op, ast.Or): + return any(_eval_node(v) for v in node.values) + + # Ternary: x if cond else y + if isinstance(node, ast.IfExp): + return _eval_node(node.body) if _eval_node(node.test) else _eval_node(node.orelse) + + # Tuples / Lists (used in "x in [1,2,3]") + if isinstance(node, (ast.Tuple, ast.List)): + return [_eval_node(e) for e in node.elts] + + # Name lookup – only allow None, True, False + if isinstance(node, ast.Name): + if node.id == 'None': + return None + if node.id == 'True': + return True + if node.id == 'False': + return False + raise ValueError(f"Unsupported variable reference: {node.id}") + + raise ValueError(f"Unsupported expression node: {type(node).__name__}") + + +class WorkflowExecutor: + """ + Workflow execution engine. + Handles the execution of workflow definitions with proper control flow. + """ + + def __init__(self, ap: Optional['app.Application'] = None): + self.ap = ap + self.registry = NodeTypeRegistry.instance() + self._edges: list[EdgeDefinition] = [] + + async def execute( + self, + workflow: WorkflowDefinition, + context: ExecutionContext, + start_node_id: Optional[str] = None + ) -> ExecutionContext: + """ + Execute a workflow. + + Args: + workflow: Workflow definition + context: Execution context + start_node_id: Optional starting node (for resumption) + + Returns: + Updated execution context + """ + context.status = ExecutionStatus.RUNNING + context.start_time = datetime.now() + + try: + # Build execution graph + node_map = {node.id: node for node in workflow.nodes} + edge_map = self._build_edge_map(workflow.edges) + self._edges = workflow.edges + + # Initialize node states + for node in workflow.nodes: + if node.id not in context.node_states: + context.node_states[node.id] = NodeState(node_id=node.id) + + # Find start node(s) + if start_node_id: + start_nodes = [node_map[start_node_id]] + else: + start_nodes = self._find_start_nodes(workflow.nodes, workflow.edges) + + if not start_nodes: + raise ValueError("No start nodes found in workflow") + + # Execute from start nodes + for start_node in start_nodes: + await self._execute_from_node( + start_node, + node_map, + edge_map, + context, + workflow.settings.max_retries, + path=set() + ) + + # Check final status + all_completed = all( + state.status in (NodeStatus.COMPLETED, NodeStatus.SKIPPED) + for state in context.node_states.values() + ) + + if all_completed: + context.status = ExecutionStatus.COMPLETED + else: + # Some nodes might still be waiting + has_failed = any( + state.status == NodeStatus.FAILED + for state in context.node_states.values() + ) + if has_failed: + context.status = ExecutionStatus.FAILED + + except Exception as e: + context.status = ExecutionStatus.FAILED + context.error = str(e) + logger.error( + "Workflow execution failed", + exc_info=True, + extra={ + 'workflow_id': workflow.uuid, + 'execution_id': context.execution_id, + 'node_states': { + node_id: { + 'status': state.status.value if state.status else None, + 'error': state.error, + } + for node_id, state in context.node_states.items() + }, + }, + ) + + finally: + context.end_time = datetime.now() + + return context + + async def _execute_from_node( + self, + node: NodeDefinition, + node_map: dict[str, NodeDefinition], + edge_map: dict[str, list[EdgeDefinition]], + context: ExecutionContext, + max_retries: int = 3, + path: set[str] | None = None + ): + """Execute workflow starting from a specific node""" + + # Initialize path set for cycle detection (path-based, not global visited) + if path is None: + path = set() + + # Check for circular dependency on the *current path* only + # This correctly allows diamond shapes (A→B, A→C, B→D, C→D) + if node.id in path: + logger.warning(f"Circular dependency detected at node: {node.id}") + context.node_states[node.id].status = NodeStatus.SKIPPED + context.node_states[node.id].error = "Circular dependency detected" + return + + # Add node to current path + path.add(node.id) + + # Check if node should be skipped + if await self._should_skip_node(node, context): + context.node_states[node.id].status = NodeStatus.SKIPPED + path.discard(node.id) + return + + # Execute current node + await self._execute_node(node, context, max_retries) + + # If node failed and we should stop on error, return + if context.node_states[node.id].status == NodeStatus.FAILED: + path.discard(node.id) + return + + node_state = context.node_states[node.id] + node_type_name = node.type.split('.')[-1] if '.' in node.type else node.type + + # ── Control flow integration ──────────────────────────────── + # For loop / iterator nodes: run the LoopExecutor over + # downstream body nodes for each item, then continue to the + # "completed" output edge. + if node_type_name in ('loop', 'iterator'): + items = node_state.outputs.get('_items') or [] + if not items: + # iterator: items come from inputs + items = node_state.inputs.get('items', node_state.inputs.get('array', [])) + if not isinstance(items, list): + items = [items] if items else [] + max_iter = int(node.config.get('max_iterations', 100)) + items = items[:max_iter] + + # Collect downstream "body" nodes (connected via edges) + outgoing_edges = edge_map.get(node.id, []) + body_nodes = [] + for edge in outgoing_edges: + target = node_map.get(edge.target_node) + if target: + body_nodes.append(target) + + if body_nodes and items: + loop_exec = LoopExecutor(self) + results = await loop_exec.execute_loop(items, body_nodes, context, max_iter) + node_state.outputs['results'] = results + node_state.outputs['completed'] = True + else: + node_state.outputs['results'] = [] + node_state.outputs['completed'] = True + + path.discard(node.id) + return # body nodes already executed by LoopExecutor + + # For parallel nodes: run downstream branches concurrently + if node_type_name == 'parallel': + outgoing_edges = edge_map.get(node.id, []) + branch_nodes = [] + for edge in outgoing_edges: + target = node_map.get(edge.target_node) + if target: + branch_nodes.append([target]) + + if branch_nodes: + par_exec = ParallelExecutor(self) + results = await par_exec.execute_parallel(branch_nodes, context) + node_state.outputs['results'] = results + + path.discard(node.id) + return # branch nodes already executed by ParallelExecutor + + # ── Standard edge-based continuation ──────────────────────── + # Get outgoing edges + outgoing_edges = edge_map.get(node.id, []) + + # Execute next nodes based on edge conditions + for edge in outgoing_edges: + target_node = node_map.get(edge.target_node) + if not target_node: + continue + + # Check edge condition + if edge.condition: + condition_met = await self._evaluate_condition(edge.condition, context) + if not condition_met: + continue + + # Check if all inputs are ready + if await self._inputs_ready(target_node, edge_map, context): + await self._execute_from_node( + target_node, + node_map, + edge_map, + context, + max_retries, + path + ) + + # Remove node from path when backtracking (allows diamond revisit) + path.discard(node.id) + + async def _execute_node( + self, + node: NodeDefinition, + context: ExecutionContext, + max_retries: int = 3 + ): + """Execute a single node with retry logic""" + + node_state = context.node_states[node.id] + node_state.status = NodeStatus.RUNNING + node_state.start_time = datetime.now() + + # Get node instance (pass ap for access to services) + node_instance = self.registry.create_instance(node.type, node.id, node.config, ap=self.ap) + + if not node_instance: + node_state.status = NodeStatus.FAILED + node_state.error = f"Unknown node type: {node.type}" + node_state.end_time = datetime.now() + self._record_execution_step(node, node_state, context) + return + + # Resolve inputs + inputs = await self._resolve_inputs(node, context) + node_state.inputs = inputs + + # Validate inputs + validation_errors = await node_instance.validate_inputs(inputs) + if validation_errors: + node_state.status = NodeStatus.FAILED + node_state.error = "; ".join(validation_errors) + node_state.end_time = datetime.now() + self._record_execution_step(node, node_state, context) + return + + # Execute with retries + for attempt in range(max_retries + 1): + try: + outputs = await node_instance.execute(inputs, context) + node_state.outputs = outputs + node_state.status = NodeStatus.COMPLETED + node_state.end_time = datetime.now() + break + except Exception as e: + node_state.retry_count = attempt + 1 + logger.error( + f"Node {node.id} ({node.type}) execution failed (attempt {attempt + 1}/{max_retries + 1}): {e}", + exc_info=True, + extra={ + 'node_id': node.id, + 'node_type': node.type, + 'attempt': attempt + 1, + 'max_retries': max_retries, + 'execution_id': context.execution_id, + }, + ) + + if attempt < max_retries: + await asyncio.sleep(1) # Brief delay before retry + else: + node_state.status = NodeStatus.FAILED + node_state.error = str(e) + node_state.end_time = datetime.now() + logger.error( + f"Node {node.id} ({node.type}) permanently failed after {max_retries + 1} attempts", + extra={ + 'node_id': node.id, + 'node_type': node.type, + 'error': str(e), + 'execution_id': context.execution_id, + }, + ) + + self._record_execution_step(node, node_state, context) + + async def _resolve_inputs( + self, + node: NodeDefinition, + context: ExecutionContext + ) -> dict[str, Any]: + """Resolve input values for a node from connected nodes and context""" + inputs = {} + + # Get inputs from context variables + if 'message' in context.variables: + inputs['message'] = context.variables['message'] + + # Get inputs from message context + if context.message_context: + inputs['message_content'] = context.message_context.message_content + inputs['sender_id'] = context.message_context.sender_id + inputs['platform'] = context.message_context.platform + + # Get inputs from node config that reference other nodes + for key, value in node.config.items(): + if isinstance(value, str) and value.startswith('{{') and value.endswith('}}'): + resolved = await self._resolve_expression(value[2:-2], context) + inputs[key] = resolved + else: + inputs[key] = value + + # Get inputs from connected upstream nodes via edges + # Build a reverse map: for each incoming edge to this node, find the + # source node and the specific source/target port. + for edge in self._edges: + if edge.target_node != node.id: + continue + source_state = context.node_states.get(edge.source_node) + if not source_state or source_state.status != NodeStatus.COMPLETED: + continue + target_port = edge.target_port or 'input' + source_port = edge.source_port or 'output' + # Map the source node's output port value to this node's input port + if source_port in source_state.outputs: + inputs[target_port] = source_state.outputs[source_port] + elif 'output' in source_state.outputs: + # Fallback: if exact port not found, try generic 'output' + inputs[target_port] = source_state.outputs['output'] + elif source_state.outputs: + # Last resort: use the first available output + inputs[target_port] = next(iter(source_state.outputs.values())) + + return inputs + + async def _resolve_expression(self, expression: str, context: ExecutionContext) -> Any: + """Resolve a variable expression like 'nodes.node1.outputs.text'""" + parts = expression.strip().split('.') + + if not parts: + return None + + if parts[0] == 'nodes' and len(parts) >= 4: + # nodes.node_id.outputs.output_name + node_id = parts[1] + if parts[2] == 'outputs' and node_id in context.node_states: + output_name = '.'.join(parts[3:]) + return context.node_states[node_id].outputs.get(output_name) + + elif parts[0] == 'variables': + # variables.var_name + var_name = '.'.join(parts[1:]) + return context.variables.get(var_name) + + elif parts[0] == 'conversation_variables': + # conversation_variables.var_name + var_name = '.'.join(parts[1:]) + return context.conversation_variables.get(var_name) + + elif parts[0] == 'message': + # message.content, message.sender_id, etc. + if context.message_context: + attr = parts[1] if len(parts) > 1 else None + if attr == 'content': + return context.message_context.message_content + elif attr == 'sender_id': + return context.message_context.sender_id + elif attr == 'platform': + return context.message_context.platform + elif attr == 'conversation_id': + return context.message_context.conversation_id + + return None + + async def _evaluate_condition(self, condition: str, context: ExecutionContext) -> bool: + """Evaluate a condition expression safely using AST whitelist""" + try: + # Resolve variable references in condition + if '{{' in condition: + import re + pattern = r'\{\{([^}]+)\}\}' + + # First pass: replace all variable references with placeholders + placeholders = {} + placeholder_idx = 0 + + def replace_with_placeholder(match): + nonlocal placeholder_idx + var_expr = match.group(1) + placeholder = f'__PH{placeholder_idx}__' + placeholders[placeholder] = var_expr + placeholder_idx += 1 + return placeholder + + condition_with_placeholders = re.sub(pattern, replace_with_placeholder, condition) + + # Second pass: resolve each placeholder asynchronously + for placeholder, var_expr in placeholders.items(): + value = await self._resolve_expression(var_expr, context) + if isinstance(value, str): + condition_with_placeholders = condition_with_placeholders.replace( + placeholder, f'"{value}"' + ) + elif value is None: + condition_with_placeholders = condition_with_placeholders.replace( + placeholder, 'None' + ) + else: + condition_with_placeholders = condition_with_placeholders.replace( + placeholder, str(value) + ) + + condition = condition_with_placeholders + + # Safe expression evaluation using AST whitelist + result = _safe_eval(condition) + return bool(result) + + except Exception as e: + logger.warning(f"Condition evaluation failed: {condition} - {e}") + return False + + async def _should_skip_node(self, node: NodeDefinition, context: ExecutionContext) -> bool: + """Check if a node should be skipped""" + state = context.node_states.get(node.id) + if state and state.status in (NodeStatus.COMPLETED, NodeStatus.RUNNING, NodeStatus.SKIPPED): + return True + return False + + async def _inputs_ready( + self, + node: NodeDefinition, + edge_map: dict[str, list[EdgeDefinition]], + context: ExecutionContext + ) -> bool: + """Check if all inputs for a node are ready""" + # Find all edges that connect to this node + incoming_nodes = set() + for source_id, edges in edge_map.items(): + for edge in edges: + if edge.target_node == node.id: + incoming_nodes.add(source_id) + + # Check if all incoming nodes have completed + for source_id in incoming_nodes: + state = context.node_states.get(source_id) + if not state or state.status not in (NodeStatus.COMPLETED, NodeStatus.SKIPPED): + return False + + return True + + def _find_start_nodes( + self, + nodes: list[NodeDefinition], + edges: list[EdgeDefinition] + ) -> list[NodeDefinition]: + """Find nodes that have no incoming edges (start nodes)""" + target_nodes = {edge.target_node for edge in edges} + start_nodes = [node for node in nodes if node.id not in target_nodes] + + # Also check for trigger nodes + trigger_types = {'message_trigger', 'cron_trigger', 'webhook_trigger', 'event_trigger'} + for node in nodes: + if node.type in trigger_types and node not in start_nodes: + start_nodes.insert(0, node) + + return start_nodes + + def _build_edge_map(self, edges: list[EdgeDefinition]) -> dict[str, list[EdgeDefinition]]: + """Build a map of source node ID to outgoing edges""" + edge_map: dict[str, list[EdgeDefinition]] = {} + for edge in edges: + if edge.source_node not in edge_map: + edge_map[edge.source_node] = [] + edge_map[edge.source_node].append(edge) + return edge_map + + def _record_execution_step( + self, + node: NodeDefinition, + node_state: NodeState, + context: ExecutionContext + ): + """Record an execution step in the history""" + duration_ms = 0 + if node_state.start_time and node_state.end_time: + duration_ms = int((node_state.end_time - node_state.start_time).total_seconds() * 1000) + + step = ExecutionStep( + timestamp=datetime.now(), + node_id=node.id, + node_type=node.type, + status=node_state.status.value, + inputs=node_state.inputs, + outputs=node_state.outputs, + duration_ms=duration_ms, + error=node_state.error + ) + context.history.append(step) + + +class ParallelExecutor: + """Execute multiple branches in parallel""" + + def __init__(self, executor: WorkflowExecutor): + self.executor = executor + + async def execute_parallel( + self, + branches: list[list[NodeDefinition]], + context: ExecutionContext + ) -> list[dict[str, Any]]: + """ + Execute multiple branches in parallel. + + Args: + branches: List of node sequences to execute in parallel + context: Execution context + + Returns: + List of results from each branch + """ + tasks = [] + for branch in branches: + task = self._execute_branch(branch, context) + tasks.append(task) + + results = await asyncio.gather(*tasks, return_exceptions=True) + + processed_results = [] + for result in results: + if isinstance(result, Exception): + processed_results.append({'error': str(result)}) + else: + processed_results.append(result) + + return processed_results + + async def _execute_branch( + self, + nodes: list[NodeDefinition], + context: ExecutionContext + ) -> dict[str, Any]: + """Execute a single branch""" + # Create a copy of context for this branch + branch_outputs = {} + + for node in nodes: + await self.executor._execute_node(node, context, max_retries=3) + state = context.node_states.get(node.id) + if state and state.status == NodeStatus.COMPLETED: + branch_outputs[node.id] = state.outputs + elif state and state.status == NodeStatus.FAILED: + branch_outputs['error'] = state.error + break + + return branch_outputs + + +class LoopExecutor: + """Execute loop iterations""" + + def __init__(self, executor: WorkflowExecutor): + self.executor = executor + + async def execute_loop( + self, + items: list[Any], + loop_body: list[NodeDefinition], + context: ExecutionContext, + max_iterations: int = 100 + ) -> list[dict[str, Any]]: + """ + Execute a loop over items. + + Args: + items: Items to iterate over + loop_body: Nodes to execute for each item + context: Execution context + max_iterations: Maximum number of iterations + + Returns: + List of results from each iteration + """ + results = [] + + for i, item in enumerate(items[:max_iterations]): + # Set loop variables + context.variables['loop_item'] = item + context.variables['loop_index'] = i + context.variables['loop_is_first'] = i == 0 + context.variables['loop_is_last'] = i == len(items) - 1 + + iteration_result = {} + + for node in loop_body: + # Reset node state for this iteration + context.node_states[node.id] = NodeState(node_id=node.id) + + await self.executor._execute_node(node, context, max_retries=3) + + state = context.node_states.get(node.id) + if state: + iteration_result[node.id] = state.outputs + + # Check for break condition + if state.outputs.get('break', False): + results.append(iteration_result) + return results + + results.append(iteration_result) + + # Clean up loop variables + context.variables.pop('loop_item', None) + context.variables.pop('loop_index', None) + context.variables.pop('loop_is_first', None) + context.variables.pop('loop_is_last', None) + + return results + + +class DebugWorkflowExecutor(WorkflowExecutor): + """ + Debug-enabled workflow executor with step-by-step execution support. + Extends WorkflowExecutor with debugging capabilities. + """ + + # Class-level storage for active debug sessions + _debug_states: dict[str, DebugExecutionState] = {} + + def __init__(self, ap: Optional['app.Application'] = None): + super().__init__(ap) + + @classmethod + def get_debug_state(cls, execution_id: str) -> Optional[DebugExecutionState]: + """Get debug state for an execution""" + return cls._debug_states.get(execution_id) + + @classmethod + def create_debug_state(cls, execution_id: str, breakpoints: list[str] = None) -> DebugExecutionState: + """Create a new debug state""" + state = DebugExecutionState(execution_id, breakpoints) + cls._debug_states[execution_id] = state + return state + + @classmethod + def remove_debug_state(cls, execution_id: str): + """Remove debug state for an execution""" + cls._debug_states.pop(execution_id, None) + + async def execute_debug( + self, + workflow: WorkflowDefinition, + context: ExecutionContext, + debug_state: DebugExecutionState, + ) -> ExecutionContext: + """ + Execute a workflow in debug mode. + + Args: + workflow: Workflow definition + context: Execution context + debug_state: Debug execution state + + Returns: + Updated execution context + """ + context.status = ExecutionStatus.RUNNING + context.start_time = datetime.now() + debug_state.add_log('info', f'Starting debug execution for workflow: {workflow.name}') + + try: + # Build execution graph + node_map = {node.id: node for node in workflow.nodes} + edge_map = self._build_edge_map(workflow.edges) + self._edges = workflow.edges + + # Initialize node states + for node in workflow.nodes: + if node.id not in context.node_states: + context.node_states[node.id] = NodeState(node_id=node.id) + + # Find start node(s) + start_nodes = self._find_start_nodes(workflow.nodes, workflow.edges) + + if not start_nodes: + raise ValueError("No start nodes found in workflow") + + debug_state.add_log('info', f'Found {len(start_nodes)} start node(s)') + + # Execute from start nodes + for start_node in start_nodes: + if debug_state.is_stopped: + break + + await self._execute_debug_from_node( + start_node, + node_map, + edge_map, + context, + debug_state, + workflow.settings.max_retries + ) + + # Set final status + if debug_state.is_stopped: + context.status = ExecutionStatus.CANCELLED + debug_state.status = 'cancelled' + else: + all_completed = all( + state.status in (NodeStatus.COMPLETED, NodeStatus.SKIPPED) + for state in context.node_states.values() + ) + + if all_completed: + context.status = ExecutionStatus.COMPLETED + debug_state.status = 'completed' + debug_state.add_log('info', 'Workflow execution completed successfully') + else: + has_failed = any( + state.status == NodeStatus.FAILED + for state in context.node_states.values() + ) + if has_failed: + context.status = ExecutionStatus.FAILED + debug_state.status = 'error' + + except Exception as e: + context.status = ExecutionStatus.FAILED + context.error = str(e) + debug_state.status = 'error' + debug_state.add_log('error', f'Workflow execution failed: {e}', data={'traceback': traceback.format_exc()}) + logger.error(f"Debug workflow execution failed: {e}\n{traceback.format_exc()}") + + finally: + context.end_time = datetime.now() + + return context + + async def _execute_debug_from_node( + self, + node: NodeDefinition, + node_map: dict[str, NodeDefinition], + edge_map: dict[str, list[EdgeDefinition]], + context: ExecutionContext, + debug_state: DebugExecutionState, + max_retries: int = 3 + ): + """Execute workflow from a node with debug support""" + + # Check if stopped + if debug_state.is_stopped: + return + + # Wait if paused + await debug_state.wait_if_paused() + + # Check if should skip + if await self._should_skip_node(node, context): + context.node_states[node.id].status = NodeStatus.SKIPPED + debug_state.add_log('info', f'Skipping node: {node.id}', node_id=node.id) + return + + # Check breakpoint + if debug_state.check_breakpoint(node.id): + debug_state.add_log('info', f'Hit breakpoint at node: {node.id}', node_id=node.id) + debug_state.pause() + await debug_state.wait_if_paused() + + # Update current node + debug_state.current_node_id = node.id + debug_state.add_log('info', f'Executing node: {node.id} ({node.type})', node_id=node.id) + + # Execute node + await self._execute_debug_node(node, context, debug_state, max_retries) + + # Check if stopped or failed + if debug_state.is_stopped: + return + if context.node_states[node.id].status == NodeStatus.FAILED: + return + + # Get outgoing edges + outgoing_edges = edge_map.get(node.id, []) + + # Execute next nodes + for edge in outgoing_edges: + if debug_state.is_stopped: + break + + target_node = node_map.get(edge.target_node) + if not target_node: + continue + + # Check edge condition + if edge.condition: + condition_met = await self._evaluate_condition(edge.condition, context) + if not condition_met: + debug_state.add_log( + 'debug', + f'Edge condition not met: {edge.condition}', + node_id=node.id + ) + continue + + # Check if all inputs are ready + if await self._inputs_ready(target_node, edge_map, context): + await self._execute_debug_from_node( + target_node, + node_map, + edge_map, + context, + debug_state, + max_retries + ) + + async def _execute_debug_node( + self, + node: NodeDefinition, + context: ExecutionContext, + debug_state: DebugExecutionState, + max_retries: int = 3 + ): + """Execute a single node with debug logging""" + + node_state = context.node_states[node.id] + node_state.status = NodeStatus.RUNNING + node_state.start_time = datetime.now() + + # Get node instance (pass ap for access to services) + node_instance = self.registry.create_instance(node.type, node.id, node.config, ap=self.ap) + + if not node_instance: + node_state.status = NodeStatus.FAILED + node_state.error = f"Unknown node type: {node.type}" + node_state.end_time = datetime.now() + debug_state.add_log('error', f'Unknown node type: {node.type}', node_id=node.id) + self._record_execution_step(node, node_state, context) + return + + # Resolve inputs + inputs = await self._resolve_inputs(node, context) + node_state.inputs = inputs + debug_state.add_log( + 'debug', + f'Node inputs resolved', + node_id=node.id, + data={'inputs': self._safe_serialize(inputs)} + ) + + # Validate inputs + validation_errors = await node_instance.validate_inputs(inputs) + if validation_errors: + node_state.status = NodeStatus.FAILED + node_state.error = "; ".join(validation_errors) + node_state.end_time = datetime.now() + debug_state.add_log( + 'error', + f'Input validation failed: {node_state.error}', + node_id=node.id + ) + self._record_execution_step(node, node_state, context) + return + + # Execute with retries + for attempt in range(max_retries + 1): + if debug_state.is_stopped: + node_state.status = NodeStatus.FAILED + node_state.error = "Execution stopped" + node_state.end_time = datetime.now() + break + + try: + outputs = await node_instance.execute(inputs, context) + node_state.outputs = outputs + node_state.status = NodeStatus.COMPLETED + node_state.end_time = datetime.now() + + duration_ms = int((node_state.end_time - node_state.start_time).total_seconds() * 1000) + debug_state.add_log( + 'info', + f'Node completed in {duration_ms}ms', + node_id=node.id, + data={'outputs': self._safe_serialize(outputs), 'duration_ms': duration_ms} + ) + break + + except Exception as e: + node_state.retry_count = attempt + 1 + debug_state.add_log( + 'warning', + f'Node execution failed (attempt {attempt + 1}/{max_retries + 1}): {e}', + node_id=node.id + ) + + if attempt < max_retries: + await asyncio.sleep(1) + else: + node_state.status = NodeStatus.FAILED + node_state.error = str(e) + node_state.end_time = datetime.now() + debug_state.add_log( + 'error', + f'Node failed after {max_retries + 1} attempts: {e}', + node_id=node.id, + data={'error': str(e), 'traceback': traceback.format_exc()} + ) + + self._record_execution_step(node, node_state, context) + + async def step_execute( + self, + workflow: WorkflowDefinition, + context: ExecutionContext, + debug_state: DebugExecutionState, + ) -> dict: + """ + Execute one step (one node) in debug mode. + + Returns: + Dict with node_id, node_state, and completed status + """ + # Find next node to execute + next_node = self._find_next_executable_node(workflow, context) + + if not next_node: + debug_state.status = 'completed' + return {'completed': True} + + # Execute single node + node_map = {node.id: node for node in workflow.nodes} + edge_map = self._build_edge_map(workflow.edges) + + debug_state.current_node_id = next_node.id + await self._execute_debug_node(next_node, context, debug_state, workflow.settings.max_retries) + + node_state = context.node_states.get(next_node.id) + + # Check if workflow is complete + all_done = all( + state.status in (NodeStatus.COMPLETED, NodeStatus.SKIPPED, NodeStatus.FAILED) + for state in context.node_states.values() + ) + + if all_done: + debug_state.status = 'completed' + context.status = ExecutionStatus.COMPLETED + + return { + 'node_id': next_node.id, + 'node_state': { + 'status': node_state.status.value if node_state else 'unknown', + 'inputs': self._safe_serialize(node_state.inputs) if node_state else {}, + 'outputs': self._safe_serialize(node_state.outputs) if node_state else {}, + 'error': node_state.error if node_state else None, + }, + 'completed': all_done, + } + + def _find_next_executable_node( + self, + workflow: WorkflowDefinition, + context: ExecutionContext + ) -> Optional[NodeDefinition]: + """Find the next node that can be executed""" + edge_map = self._build_edge_map(workflow.edges) + + for node in workflow.nodes: + state = context.node_states.get(node.id) + + # Skip completed, running, or failed nodes + if state and state.status in (NodeStatus.COMPLETED, NodeStatus.RUNNING, NodeStatus.FAILED, NodeStatus.SKIPPED): + continue + + # Check if this node's inputs are ready + incoming_nodes = set() + for source_id, edges in edge_map.items(): + for edge in edges: + if edge.target_node == node.id: + incoming_nodes.add(source_id) + + # If no incoming nodes, it's a start node + if not incoming_nodes: + return node + + # Check if all incoming nodes are done + all_incoming_done = True + for source_id in incoming_nodes: + source_state = context.node_states.get(source_id) + if not source_state or source_state.status not in (NodeStatus.COMPLETED, NodeStatus.SKIPPED): + all_incoming_done = False + break + + if all_incoming_done: + return node + + return None + + def _safe_serialize(self, data: Any) -> Any: + """Safely serialize data for logging""" + if data is None: + return None + if isinstance(data, (str, int, float, bool)): + return data + if isinstance(data, (list, tuple)): + return [self._safe_serialize(item) for item in data[:100]] # Limit list size + if isinstance(data, dict): + result = {} + for key, value in list(data.items())[:50]: # Limit dict size + result[str(key)] = self._safe_serialize(value) + return result + # For complex objects, try to convert to string + try: + return str(data)[:1000] # Limit string length + except Exception: + return "" + + def get_execution_state( + self, + context: ExecutionContext, + debug_state: DebugExecutionState + ) -> dict: + """Get current execution state for API response""" + node_states = {} + for node_id, state in context.node_states.items(): + node_states[node_id] = { + 'status': state.status.value, + 'inputs': self._safe_serialize(state.inputs), + 'outputs': self._safe_serialize(state.outputs), + 'error': state.error, + 'startTime': state.start_time.isoformat() if state.start_time else None, + 'endTime': state.end_time.isoformat() if state.end_time else None, + 'duration': int((state.end_time - state.start_time).total_seconds() * 1000) + if state.start_time and state.end_time else None, + } + + return { + 'status': debug_state.status, + 'current_node_id': debug_state.current_node_id, + 'node_states': node_states, + 'new_logs': debug_state.get_pending_logs(), + 'error': context.error, + } diff --git a/src/langbot/pkg/workflow/node.py b/src/langbot/pkg/workflow/node.py new file mode 100644 index 000000000..717d8d069 --- /dev/null +++ b/src/langbot/pkg/workflow/node.py @@ -0,0 +1,280 @@ +"""Workflow node base class and decorators""" +from __future__ import annotations + +import abc +from typing import Any, Callable, Optional, TYPE_CHECKING + +import pydantic + +if TYPE_CHECKING: + from .entities import ExecutionContext + from ..core import app + + +class NodePort(pydantic.BaseModel): + """Node port definition""" + name: str + type: str = "any" # any, string, number, boolean, object, array + description: str = "" + required: bool = True + + +class NodeConfig(pydantic.BaseModel): + """Node configuration field definition""" + name: str + type: str # string, integer, number, boolean, select, json, secret, etc. + required: bool = False + default: Any = None + description: str = "" + options: Optional[list[str]] = None # For select type + + # Validation + min_value: Optional[float] = None + max_value: Optional[float] = None + min_length: Optional[int] = None + max_length: Optional[int] = None + pattern: Optional[str] = None # Regex pattern + + # UI hints + placeholder: str = "" + show_if: Optional[dict] = None # Conditional display + + # Pipeline config source (for reusing Pipeline config metadata) + pipeline_config_source: Optional[str] = None # e.g., "pipeline:trigger" + + # i18n support for label + label: Optional[dict[str, str]] = None # e.g., {"en_US": "Name", "zh_Hans": "名称"} + label_zh: Optional[str] = None # Chinese label + label_en: Optional[str] = None # English label + + +class WorkflowNode(abc.ABC): + """Base class for all workflow nodes""" + + # Node metadata + type_name: str = "" + name: str = "" + description: str = "" + category: str = "misc" # trigger, process, control, action, integration + icon: str = "" + + # Port definitions + inputs: list[NodePort] = [] + outputs: list[NodePort] = [] + + # Configuration schema + config_schema: list[NodeConfig] = [] + + # Pipeline config reuse + config_schema_source: Optional[str] = None # e.g., "pipeline:ai" + config_stages: list[str] = [] # Specific stages to reuse + + def __init__(self, node_id: str, config: dict[str, Any], ap: Optional['app.Application'] = None): + """Initialize node with ID and configuration""" + self.node_id = node_id + self.config = config + self.ap = ap # Reference to the application instance for accessing services + + @abc.abstractmethod + async def execute( + self, + inputs: dict[str, Any], + context: ExecutionContext + ) -> dict[str, Any]: + """ + Execute the node logic. + + Args: + inputs: Input data from connected nodes + context: Execution context with workflow state + + Returns: + Dictionary of output values + """ + pass + + async def validate_inputs(self, inputs: dict[str, Any]) -> list[str]: + """ + Validate input data against port definitions. + + Returns: + List of validation error messages (empty if valid) + """ + errors = [] + for port in self.inputs: + if port.required and port.name not in inputs: + errors.append(f"Missing required input: {port.name}") + return errors + + async def validate_config(self) -> list[str]: + """ + Validate node configuration. + + Returns: + List of validation error messages (empty if valid) + """ + errors = [] + for cfg in self.config_schema: + if cfg.required and cfg.name not in self.config: + errors.append(f"Missing required config: {cfg.name}") + elif cfg.name in self.config: + value = self.config[cfg.name] + # Type validation + if cfg.type == "integer" and not isinstance(value, int): + errors.append(f"Config {cfg.name} must be an integer") + elif cfg.type == "number" and not isinstance(value, (int, float)): + errors.append(f"Config {cfg.name} must be a number") + elif cfg.type == "boolean" and not isinstance(value, bool): + errors.append(f"Config {cfg.name} must be a boolean") + # Range validation + if cfg.min_value is not None and isinstance(value, (int, float)): + if value < cfg.min_value: + errors.append(f"Config {cfg.name} must be >= {cfg.min_value}") + if cfg.max_value is not None and isinstance(value, (int, float)): + if value > cfg.max_value: + errors.append(f"Config {cfg.name} must be <= {cfg.max_value}") + return errors + + # Type mapping from backend to frontend DynamicFormItemType + _TYPE_MAP = { + 'string': 'string', + 'integer': 'integer', + 'number': 'float', + 'boolean': 'boolean', + 'select': 'select', + 'json': 'text', + 'textarea': 'text', + 'secret': 'secret', + 'llm-model-selector': 'llm-model-selector', + 'embedding-model-selector': 'embedding-model-selector', + 'rerank-model-selector': 'rerank-model-selector', + 'knowledge-base-selector': 'knowledge-base-selector', + 'knowledge-base-multi-selector': 'knowledge-base-multi-selector', + 'bot-selector': 'bot-selector', + 'tools-selector': 'tools-selector', + 'model-fallback-selector': 'model-fallback-selector', + 'prompt-editor': 'prompt-editor', + } + + def get_config(self, key: str, default: Any = None) -> Any: + """Get configuration value with default""" + return self.config.get(key, default) + + @classmethod + def _config_to_schema_item(cls, cfg: NodeConfig) -> dict[str, Any]: + """Convert a NodeConfig to frontend-compatible schema item""" + # Map type to frontend type + frontend_type = cls._TYPE_MAP.get(cfg.type, 'string') + + # Build i18n label from name + label = { + 'zh_Hans': cfg.name, + 'en_US': cfg.name, + } + + # Build i18n description + desc = cfg.description or '' + description = { + 'zh_Hans': desc, + 'en_US': desc, + } + + result = { + 'id': cfg.name, + 'name': cfg.name, + 'type': frontend_type, + 'label': label, + 'description': description, + 'required': cfg.required, + 'default': cfg.default, + } + + # Add placeholder if present + if cfg.placeholder: + result['placeholder'] = cfg.placeholder + + # Add options if present + if cfg.options: + result['options'] = [ + { + 'name': opt, + 'label': { + 'zh_Hans': opt, + 'en_US': opt, + } + } + for opt in cfg.options + ] + + # Add show_if if present + if cfg.show_if: + result['show_if'] = cfg.show_if + + return result + + @classmethod + def to_schema(cls) -> dict[str, Any]: + """ + Convert node class to JSON schema for frontend. + + Returns: + Node schema dictionary + """ + # Build label dict for i18n support + # Use underscore format to match frontend I18nObject interface + name_zh = getattr(cls, 'name_zh', None) or cls.name + name_en = getattr(cls, 'name_en', None) or cls.name + desc_zh = getattr(cls, 'description_zh', None) or cls.description + desc_en = getattr(cls, 'description_en', None) or cls.description + label = { + 'zh_Hans': name_zh, + 'en_US': name_en, + } + description = { + 'zh_Hans': desc_zh, + 'en_US': desc_en, + } + + return { + 'type': f'{cls.category}.{cls.type_name}', + 'name': cls.name, + 'label': label, + 'description': description, + 'category': cls.category, + 'icon': cls.icon, + 'inputs': [port.model_dump() for port in cls.inputs], + 'outputs': [port.model_dump() for port in cls.outputs], + 'config_schema': [cls._config_to_schema_item(cfg) for cfg in cls.config_schema], + 'config_schema_source': cls.config_schema_source, + 'config_stages': cls.config_stages, + } + + +# Registry for node type decorator +_pending_registrations: list[tuple[str, type[WorkflowNode]]] = [] + + +def workflow_node(type_name: str) -> Callable[[type[WorkflowNode]], type[WorkflowNode]]: + """ + Decorator to register a workflow node type. + + Usage: + @workflow_node('llm_call') + class LLMCallNode(WorkflowNode): + ... + """ + def decorator(cls: type[WorkflowNode]) -> type[WorkflowNode]: + cls.type_name = type_name + _pending_registrations.append((type_name, cls)) + return cls + return decorator + + +def get_pending_registrations() -> list[tuple[str, type[WorkflowNode]]]: + """Get pending node registrations""" + return _pending_registrations.copy() + + +def clear_pending_registrations(): + """Clear pending registrations after they're processed""" + _pending_registrations.clear() diff --git a/src/langbot/pkg/workflow/nodes/__init__.py b/src/langbot/pkg/workflow/nodes/__init__.py new file mode 100644 index 000000000..03f82cbf5 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/__init__.py @@ -0,0 +1,91 @@ +"""Core workflow nodes package""" + +# Import all node modules to trigger registration +# Trigger nodes +from . import message_trigger +from . import cron_trigger +from . import webhook_trigger +from . import event_trigger + +# Process nodes +from . import llm_call +from . import code_executor +from . import http_request +from . import data_transform +from . import question_classifier +from . import parameter_extractor +from . import knowledge_retrieval + +# Control nodes +from . import condition +from . import switch +from . import loop +from . import iterator +from . import parallel +from . import wait +from . import merge +from . import variable_aggregator + +# Action nodes +from . import send_message +from . import reply_message +from . import call_pipeline +from . import store_data +from . import set_variable +from . import opening_statement +from . import end + +# Integration nodes +from . import database_query +from . import redis_operation +from . import mcp_tool +from . import memory_store +from . import dify_workflow +from . import dify_knowledge_query +from . import n8n_workflow +from . import langflow_flow +from . import coze_bot +# from . import plugin_call + +__all__ = [ + # Trigger nodes + 'message_trigger', + 'cron_trigger', + 'webhook_trigger', + 'event_trigger', + # Process nodes + 'llm_call', + 'code_executor', + 'http_request', + 'data_transform', + 'question_classifier', + 'parameter_extractor', + 'knowledge_retrieval', + # Control nodes + 'condition', + 'switch', + 'loop', + 'iterator', + 'parallel', + 'wait', + 'merge', + 'variable_aggregator', + # Action nodes + 'send_message', + 'reply_message', + 'call_pipeline', + 'store_data', + 'set_variable', + 'opening_statement', + 'end', + # Integration nodes + 'database_query', + 'redis_operation', + 'mcp_tool', + 'memory_store', + 'dify_workflow', + 'dify_knowledge_query', + 'n8n_workflow', + 'langflow_flow', + 'coze_bot', +] diff --git a/src/langbot/pkg/workflow/nodes/call_pipeline.py b/src/langbot/pkg/workflow/nodes/call_pipeline.py new file mode 100644 index 000000000..6fc416756 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/call_pipeline.py @@ -0,0 +1,36 @@ +"""Call Pipeline Node - invoke an existing pipeline + +Node metadata is loaded from: ../../templates/metadata/nodes/call_pipeline.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('call_pipeline') +class CallPipelineNode(WorkflowNode): + """Call pipeline node - invoke an existing pipeline""" + + type_name = "call_pipeline" + category = "action" + icon = "⚙️" + name = "call_pipeline" + description = "call_pipeline" + name_zh = "调用 Pipeline" + name_en = "Call Pipeline" + description_zh = "调用现有的 Pipeline 进行处理" + description_en = "Invoke an existing Pipeline for processing" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + query = inputs.get("query", "") + pipeline_uuid = self.get_config("pipeline_uuid", "") + + return {"response": f"[Pipeline {pipeline_uuid} response for: {query[:50]}...]", "result": {}} diff --git a/src/langbot/pkg/workflow/nodes/code_executor.py b/src/langbot/pkg/workflow/nodes/code_executor.py new file mode 100644 index 000000000..ecb8eeb8e --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/code_executor.py @@ -0,0 +1,73 @@ +"""Code Executor Node - run Python or JavaScript code + +Node metadata is loaded from: ../../templates/metadata/nodes/code_executor.yaml +""" + +from __future__ import annotations + +import json +import re +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('code_executor') +class CodeExecutorNode(WorkflowNode): + """Code executor node - run Python or JavaScript code""" + + type_name = "code_executor" + category = "process" + icon = "💻" + name = "code_executor" + description = "code_executor" + name_zh = "代码执行" + name_en = "Code Executor" + description_zh = "执行自定义代码处理数据" + description_en = "Execute custom code to process data" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + code = self.get_config("code", "") + language = self.get_config("language", "python") + + if language == "python": + return await self._execute_python(code, inputs, context) + else: + return await self._execute_javascript(code, inputs, context) + + async def _execute_python(self, code: str, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + import io + import sys + + stdout_capture = io.StringIO() + old_stdout = sys.stdout + + try: + sys.stdout = stdout_capture + + restricted_globals = { + '__builtins__': { + 'len': len, 'str': str, 'int': int, 'float': float, 'bool': bool, + 'list': list, 'dict': dict, 'set': set, 'tuple': tuple, + 'range': range, 'enumerate': enumerate, 'zip': zip, + 'map': map, 'filter': filter, 'sorted': sorted, 'reversed': reversed, + 'sum': sum, 'min': min, 'max': max, 'abs': abs, 'round': round, + 'print': print, 'isinstance': isinstance, 'type': type, + 'hasattr': hasattr, 'getattr': getattr, 'json': json, 're': re, + } + } + + local_vars = {'inputs': inputs, 'output': None} + exec(code, restricted_globals, local_vars) + + return {"output": local_vars.get('output'), "console": stdout_capture.getvalue()} + finally: + sys.stdout = old_stdout + + async def _execute_javascript(self, code: str, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + return {"output": f"[JS execution not implemented: {code[:50]}...]", "console": ""} diff --git a/src/langbot/pkg/workflow/nodes/condition.py b/src/langbot/pkg/workflow/nodes/condition.py new file mode 100644 index 000000000..e7e63aa1b --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/condition.py @@ -0,0 +1,88 @@ +"""Condition Node - branch based on condition + +Node metadata is loaded from: ../../templates/metadata/nodes/condition.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig +from ..safe_eval import safe_eval_with_vars + + +@workflow_node('condition') +class ConditionNode(WorkflowNode): + """Condition node - branch based on condition""" + + type_name = "condition" + category = "control" + icon = "🔀" + name = "condition" + description = "condition" + name_zh = "条件分支" + name_en = "Condition" + description_zh = "根据条件分支工作流" + description_en = "Branch workflow based on a condition" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + condition_type = self.get_config("condition_type", "expression") + input_data = inputs.get("input") + + result = False + + if condition_type == "expression": + expression = self.get_config("expression", "false") + result = await self._evaluate_expression(expression, input_data, context) + elif condition_type == "comparison": + result = await self._evaluate_comparison(input_data, context) + elif condition_type == "contains": + left = self.get_config("left_value", "") + right = self.get_config("right_value", "") + result = right in left + elif condition_type == "empty": + result = not bool(input_data) + elif condition_type == "regex": + import re + left = self.get_config("left_value", "") + pattern = self.get_config("right_value", "") + result = bool(re.match(pattern, str(left))) + + if result: + return {"true": input_data, "false": None} + else: + return {"true": None, "false": input_data} + + async def _evaluate_expression(self, expression: str, data: Any, context: ExecutionContext) -> bool: + try: + local_vars = {"input": data, "data": data, "variables": context.variables} + return bool(safe_eval_with_vars(expression, local_vars)) + except Exception: + return False + + async def _evaluate_comparison(self, data: Any, context: ExecutionContext) -> bool: + left = self.get_config("left_value", "") + right = self.get_config("right_value", "") + operator = self.get_config("operator", "==") + + try: + left_num = float(left) + right_num = float(right) + + if operator == "==": return left_num == right_num + elif operator == "!=": return left_num != right_num + elif operator == ">": return left_num > right_num + elif operator == "<": return left_num < right_num + elif operator == ">=": return left_num >= right_num + elif operator == "<=": return left_num <= right_num + except ValueError: + if operator == "==": return left == right + elif operator == "!=": return left != right + elif operator in (">", "<", ">=", "<="): return False + + return False diff --git a/src/langbot/pkg/workflow/nodes/coze_bot.py b/src/langbot/pkg/workflow/nodes/coze_bot.py new file mode 100644 index 000000000..bf7f48f15 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/coze_bot.py @@ -0,0 +1,49 @@ +"""Coze Bot Node - call Coze API bot + +Node metadata is loaded from: ../../templates/metadata/nodes/coze_bot.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('coze_bot') +class CozeBotNode(WorkflowNode): + """Coze bot node - call Coze API bot""" + + type_name = "coze_bot" + category = "integration" + icon = "MessageSquare" + name = "coze_bot" + description = "coze_bot" + name_zh = "Coze Bot" + name_en = "Coze Bot" + description_zh = "调用扣子 Bot" + description_en = "Call a Coze Bot" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + api_key = self.get_config("api_key", "") + bot_id = self.get_config("bot_id", "") + api_base = self.get_config("api_base", "https://api.coze.cn") + query = inputs.get("query", "") + conversation_id = inputs.get("conversation_id") + + return { + "answer": "", + "conversation_id": conversation_id, + "success": False, + "_debug": { + "api_key": api_key[:8] + "..." if api_key else "", + "bot_id": bot_id, + "api_base": api_base, + "query": query, + }, + } diff --git a/src/langbot/pkg/workflow/nodes/cron_trigger.py b/src/langbot/pkg/workflow/nodes/cron_trigger.py new file mode 100644 index 000000000..3c3be6c2f --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/cron_trigger.py @@ -0,0 +1,39 @@ +"""Cron Trigger Node - triggers workflow on schedule + +Node metadata is loaded from: ../../templates/metadata/nodes/cron_trigger.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('cron_trigger') +class CronTriggerNode(WorkflowNode): + """Cron trigger node - triggers workflow on schedule""" + + type_name = "cron_trigger" + category = "trigger" + icon = "⏰" + name = "cron_trigger" + description = "cron_trigger" + name_zh = "定时触发" + name_en = "Scheduled Trigger" + description_zh = "按定时计划触发工作流" + description_en = "Trigger workflow on a scheduled time" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + from datetime import datetime + + return { + "timestamp": datetime.now().isoformat(), + "schedule": self.get_config("cron", ""), + "context": context.trigger_data, + } diff --git a/src/langbot/pkg/workflow/nodes/data_transform.py b/src/langbot/pkg/workflow/nodes/data_transform.py new file mode 100644 index 000000000..cad4a1864 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/data_transform.py @@ -0,0 +1,81 @@ +"""Data Transform Node - transform data using templates or JSONPath + +Node metadata is loaded from: ../../templates/metadata/nodes/data_transform.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig +from ..safe_eval import safe_eval_with_vars + + +@workflow_node('data_transform') +class DataTransformNode(WorkflowNode): + """Data transform node - transform data using templates or JSONPath""" + + type_name = "data_transform" + category = "process" + icon = "🔄" + name = "data_transform" + description = "data_transform" + name_zh = "数据转换" + name_en = "Data Transform" + description_zh = "使用模板或 JSONPath 转换数据" + description_en = "Transform data using templates or JSONPath" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + data = inputs.get("data") + transform_type = self.get_config("transform_type", "template") + + if transform_type == "template": + template = self.get_config("template", "") + result = self._apply_template(template, data, context) + elif transform_type == "jsonpath": + expression = self.get_config("expression", "$") + result = self._apply_jsonpath(expression, data) + elif transform_type == "expression": + expression = self.get_config("expression", "") + result = self._evaluate_expression(expression, data, context) + else: + result = data + + return {"result": result} + + def _apply_template(self, template: str, data: Any, context: ExecutionContext) -> str: + result = template + if isinstance(data, dict): + for key, value in data.items(): + result = result.replace(f"{{{{data.{key}}}}}", str(value)) + for key, value in context.variables.items(): + result = result.replace(f"{{{{variables.{key}}}}}", str(value)) + return result + + def _apply_jsonpath(self, expression: str, data: Any) -> Any: + if expression == "$": + return data + if expression.startswith("$."): + parts = expression[2:].split(".") + result = data + for part in parts: + if isinstance(result, dict): + result = result.get(part) + elif isinstance(result, list) and part.isdigit(): + result = result[int(part)] + else: + return None + return result + return data + + def _evaluate_expression(self, expression: str, data: Any, context: ExecutionContext) -> Any: + local_vars = {"data": data, "variables": context.variables} + try: + return safe_eval_with_vars(expression, local_vars) + except Exception: + return None diff --git a/src/langbot/pkg/workflow/nodes/database_query.py b/src/langbot/pkg/workflow/nodes/database_query.py new file mode 100644 index 000000000..72d9bb9ff --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/database_query.py @@ -0,0 +1,52 @@ +"""Database Query Node - execute database queries + +Node metadata is loaded from: ../../templates/metadata/nodes/database_query.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('database_query') +class DatabaseQueryNode(WorkflowNode): + """Database query node - execute database queries""" + + type_name = "database_query" + category = "integration" + icon = "Database" + name = "database_query" + description = "database_query" + name_zh = "数据库查询" + name_en = "Database Query" + description_zh = "执行数据库查询" + description_en = "Execute database queries" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + connection_type = self.get_config("connection_type", "postgresql") + connection_string = self.get_config("connection_string", "") + query = self.get_config("query", "") + query_type = self.get_config("query_type", "select") + timeout = self.get_config("timeout", 30) + + parameters = inputs.get("parameters", {}) + + return { + "results": [], + "row_count": 0, + "success": False, + "_debug": { + "connection_type": connection_type, + "query": query, + "query_type": query_type, + "timeout": timeout, + "parameters": parameters, + }, + } diff --git a/src/langbot/pkg/workflow/nodes/dify_knowledge_query.py b/src/langbot/pkg/workflow/nodes/dify_knowledge_query.py new file mode 100644 index 000000000..e1f5ad0d0 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/dify_knowledge_query.py @@ -0,0 +1,47 @@ +"""Dify Knowledge Query Node - query Dify knowledge base + +Node metadata is loaded from: ../../templates/metadata/nodes/dify_knowledge_query.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('dify_knowledge_query') +class DifyKnowledgeQueryNode(WorkflowNode): + """Dify knowledge base query node - query Dify knowledge base""" + + type_name = "dify_knowledge_query" + category = "integration" + icon = "BookOpen" + name = "dify_knowledge_query" + description = "dify_knowledge_query" + name_zh = "Dify 知识库查询" + name_en = "Dify Knowledge Query" + description_zh = "查询 Dify 知识库" + description_en = "Query Dify knowledge base" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + base_url = self.get_config("base_url", "https://api.dify.ai/v1") + api_key = self.get_config("api_key", "") + dataset_id = self.get_config("dataset_id", "") + query = inputs.get("query", "") + + return { + "results": [], + "success": False, + "_debug": { + "base_url": base_url, + "api_key": api_key[:8] + "..." if api_key else "", + "dataset_id": dataset_id, + "query": query, + }, + } diff --git a/src/langbot/pkg/workflow/nodes/dify_workflow.py b/src/langbot/pkg/workflow/nodes/dify_workflow.py new file mode 100644 index 000000000..3e3160603 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/dify_workflow.py @@ -0,0 +1,49 @@ +"""Dify Workflow Node - call Dify service API + +Node metadata is loaded from: ../../templates/metadata/nodes/dify_workflow.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('dify_workflow') +class DifyWorkflowNode(WorkflowNode): + """Dify workflow node - call Dify service API""" + + type_name = "dify_workflow" + category = "integration" + icon = "Bot" + name = "dify_workflow" + description = "dify_workflow" + name_zh = "Dify 工作流" + name_en = "Dify Workflow" + description_zh = "调用 Dify 平台工作流" + description_en = "Call a Dify platform workflow" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + base_url = self.get_config("base_url", "https://api.dify.ai/v1") + api_key = self.get_config("api_key", "") + app_type = self.get_config("app_type", "chat") + query = inputs.get("query", "") + conversation_id = inputs.get("conversation_id") + + return { + "answer": "", + "conversation_id": conversation_id, + "success": False, + "_debug": { + "base_url": base_url, + "api_key": api_key[:8] + "..." if api_key else "", + "app_type": app_type, + "query": query, + }, + } diff --git a/src/langbot/pkg/workflow/nodes/end.py b/src/langbot/pkg/workflow/nodes/end.py new file mode 100644 index 000000000..e9c18cdf8 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/end.py @@ -0,0 +1,45 @@ +"""End Node - marks the end of workflow execution + +Node metadata is loaded from: ../../templates/metadata/nodes/end.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('end') +class EndNode(WorkflowNode): + """End node - marks the end of workflow execution""" + + type_name = "end" + category = "action" + icon = "🏁" + name = "end" + description = "end" + name_zh = "结束" + name_en = "End" + description_zh = "结束工作流执行" + description_en = "End the workflow execution" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + result = inputs.get("result") + output_format = self.get_config("output_format", "passthrough") + + if output_format == "text": + return {"output": str(result)} + elif output_format == "json": + import json + try: + return {"output": json.dumps(result, ensure_ascii=False)} + except Exception: + return {"output": str(result)} + else: + return {"output": result} diff --git a/src/langbot/pkg/workflow/nodes/event_trigger.py b/src/langbot/pkg/workflow/nodes/event_trigger.py new file mode 100644 index 000000000..a2bec906f --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/event_trigger.py @@ -0,0 +1,41 @@ +"""Event Trigger Node - triggers workflow on system events + +Node metadata is loaded from: ../../templates/metadata/nodes/event_trigger.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('event_trigger') +class EventTriggerNode(WorkflowNode): + """Event trigger node - triggers workflow on system events""" + + type_name = "event_trigger" + category = "trigger" + icon = "📡" + name = "event_trigger" + description = "event_trigger" + name_zh = "事件触发" + name_en = "Event Trigger" + description_zh = "当系统事件发生时触发工作流" + description_en = "Trigger workflow when a system event occurs" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + from datetime import datetime + + trigger_data = context.trigger_data + + return { + "event_type": trigger_data.get("event_type", ""), + "event_data": trigger_data.get("event_data", {}), + "timestamp": trigger_data.get("timestamp", datetime.now().isoformat()), + } diff --git a/src/langbot/pkg/workflow/nodes/http_request.py b/src/langbot/pkg/workflow/nodes/http_request.py new file mode 100644 index 000000000..bd25d15a8 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/http_request.py @@ -0,0 +1,70 @@ +"""HTTP Request Node - make HTTP API calls + +Node metadata is loaded from: ../../templates/metadata/nodes/http_request.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('http_request') +class HTTPRequestNode(WorkflowNode): + """HTTP request node - make HTTP API calls""" + + type_name = "http_request" + category = "process" + icon = "🌐" + name = "http_request" + description = "http_request" + name_zh = "HTTP 请求" + name_en = "HTTP Request" + description_zh = "向外部 API 发送 HTTP 请求" + description_en = "Make HTTP requests to external APIs" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + import aiohttp + + url = self.get_config("url", "") + method = self.get_config("method", "GET") + timeout = self.get_config("timeout", 30) + content_type = self.get_config("content_type", "application/json") + + headers = inputs.get("headers", {}) + headers["Content-Type"] = content_type + + auth_type = self.get_config("auth_type", "none") + auth_config = self.get_config("auth_config", {}) + + if auth_type == "bearer": + headers["Authorization"] = f"Bearer {auth_config.get('token', '')}" + elif auth_type == "api_key": + header_name = auth_config.get("header", "X-API-Key") + headers[header_name] = auth_config.get("key", "") + + body = inputs.get("body") + + try: + async with aiohttp.ClientSession() as session: + async with session.request( + method=method, url=url, + json=body if content_type == "application/json" else None, + data=body if content_type != "application/json" else None, + headers=headers, + timeout=aiohttp.ClientTimeout(total=timeout) + ) as response: + try: + response_data = await response.json() + except Exception: + response_data = await response.text() + + return {"response": response_data, "status_code": response.status, "headers": dict(response.headers)} + except Exception as e: + return {"response": None, "status_code": 0, "headers": {}, "error": str(e)} diff --git a/src/langbot/pkg/workflow/nodes/iterator.py b/src/langbot/pkg/workflow/nodes/iterator.py new file mode 100644 index 000000000..99879eef3 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/iterator.py @@ -0,0 +1,60 @@ +"""Iterator Node - Dify-style iterator for processing array items""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('iterator') +class IteratorNode(WorkflowNode): + """Iterator node - iterate over array items one by one""" + + type_name = "iterator" + category = "control" + icon = "🔄" + name = "iterator" + name_zh = "迭代器" + name_en = "Iterator" + description = "iterator" + description_zh = "逐个遍历数组元素" + description_en = "Iterate over array elements one by one" + + inputs: ClassVar[list[NodePort]] = [ + NodePort(name="items", type="array", description="Array to iterate over", required=True), + ] + outputs: ClassVar[list[NodePort]] = [ + NodePort(name="item", type="any", description="Current item"), + NodePort(name="index", type="number", description="Current index"), + NodePort(name="is_first", type="boolean", description="Whether this is the first item"), + NodePort(name="is_last", type="boolean", description="Whether this is the last item"), + NodePort(name="results", type="array", description="All iteration results"), + NodePort(name="completed", type="boolean", description="Whether iteration completed"), + ] + config_schema: ClassVar[list[NodeConfig]] = [ + NodeConfig( + name="max_iterations", type="integer", required=False, default=1000, + description="Maximum iterations (safety limit)", + label={"en_US": "Max Iterations", "zh_Hans": "最大迭代次数"}, + ), + ] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + items = inputs.get("items", []) + if not isinstance(items, list): + items = [items] if items else [] + + max_iterations = self.get_config("max_iterations", 1000) + items = items[:max_iterations] + + return { + "item": items[0] if items else None, + "index": 0, + "is_first": True, + "is_last": len(items) <= 1, + "results": [], + "completed": len(items) == 0, + "_items": items, + } diff --git a/src/langbot/pkg/workflow/nodes/knowledge_retrieval.py b/src/langbot/pkg/workflow/nodes/knowledge_retrieval.py new file mode 100644 index 000000000..f76975085 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/knowledge_retrieval.py @@ -0,0 +1,34 @@ +"""Knowledge Retrieval Node - search in knowledge base + +Node metadata is loaded from: ../../templates/metadata/nodes/knowledge_retrieval.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('knowledge_retrieval') +class KnowledgeRetrievalNode(WorkflowNode): + """Knowledge retrieval node - search in knowledge base""" + + type_name = "knowledge_retrieval" + category = "process" + icon = "📚" + name = "knowledge_retrieval" + description = "knowledge_retrieval" + name_zh = "知识库检索" + name_en = "Knowledge Retrieval" + description_zh = "从知识库中检索相关信息" + description_en = "Retrieve relevant information from knowledge bases" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + query = inputs.get("query", "") + return {"documents": [], "citations": [], "context": f"[Knowledge base search for: {query}]"} diff --git a/src/langbot/pkg/workflow/nodes/langflow_flow.py b/src/langbot/pkg/workflow/nodes/langflow_flow.py new file mode 100644 index 000000000..46f4f47b9 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/langflow_flow.py @@ -0,0 +1,47 @@ +"""Langflow Flow Node - call Langflow API + +Node metadata is loaded from: ../../templates/metadata/nodes/langflow_flow.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('langflow_flow') +class LangflowFlowNode(WorkflowNode): + """Langflow flow node - call Langflow API""" + + type_name = "langflow_flow" + category = "integration" + icon = "GitBranch" + name = "langflow_flow" + description = "langflow_flow" + name_zh = "Langflow 流程" + name_en = "Langflow Flow" + description_zh = "调用 Langflow 流程" + description_en = "Call a Langflow flow" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + base_url = self.get_config("base_url", "http://localhost:7860") + api_key = self.get_config("api_key", "") + flow_id = self.get_config("flow_id", "") + input_value = inputs.get("input_value", "") + + return { + "result": None, + "success": False, + "_debug": { + "base_url": base_url, + "api_key": api_key[:8] + "..." if api_key else "", + "flow_id": flow_id, + "input_value": input_value, + }, + } diff --git a/src/langbot/pkg/workflow/nodes/llm_call.py b/src/langbot/pkg/workflow/nodes/llm_call.py new file mode 100644 index 000000000..2c1bbcbdb --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/llm_call.py @@ -0,0 +1,163 @@ +"""LLM Call Node - invoke large language model.""" + +from __future__ import annotations + +import logging +import re +from typing import Any, ClassVar + +import langbot_plugin.api.entities.builtin.provider.message as provider_message + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + +logger = logging.getLogger(__name__) + + +@workflow_node('llm_call') +class LLMCallNode(WorkflowNode): + """LLM call node - invoke large language model""" + + type_name = "llm_call" + category = "process" + icon = "🤖" + name = "llm_call" + name_zh = "LLM 调用" + name_en = "LLM Call" + description = "llm_call" + description_zh = "调用大语言模型生成响应" + description_en = "Call a large language model to generate responses" + + inputs: ClassVar[list[NodePort]] = [ + NodePort(name="input", type="string", description="Input text to send to the model", required=False), + NodePort(name="context", type="object", description="Additional context data", required=False), + ] + outputs: ClassVar[list[NodePort]] = [ + NodePort(name="response", type="string", description="Model response text"), + NodePort(name="usage", type="object", description="Token usage information"), + ] + config_schema: ClassVar[list[NodeConfig]] = [ + NodeConfig( + name="model", type="llm-model-selector", required=True, + description="Select the LLM model to use", + label={"en_US": "Model", "zh_Hans": "模型"}, + ), + NodeConfig( + name="system_prompt", type="textarea", required=False, default="", + description="System prompt to set model behavior", + label={"en_US": "System Prompt", "zh_Hans": "系统提示词"}, + ), + NodeConfig( + name="user_prompt_template", type="textarea", required=True, default="{{input}}", + description="User prompt template with variable placeholders", + label={"en_US": "User Prompt Template", "zh_Hans": "用户提示词模板"}, + ), + NodeConfig( + name="temperature", type="number", required=False, default=0.7, + description="Controls randomness (0.0-2.0)", + label={"en_US": "Temperature", "zh_Hans": "温度"}, + min_value=0.0, max_value=2.0, + ), + NodeConfig( + name="max_tokens", type="integer", required=False, default=0, + description="Max tokens to generate (0 = model default)", + label={"en_US": "Max Tokens", "zh_Hans": "最大令牌数"}, + ), + ] + + def _resolve_template(self, template: str, inputs: dict[str, Any], context: ExecutionContext) -> str: + """Resolve {{variable}} placeholders in a template string.""" + def replacer(match: re.Match) -> str: + expr = match.group(1).strip() + # Try inputs first + if expr in inputs: + return str(inputs[expr]) + # Try context variables + if expr.startswith("variables."): + var_name = expr[len("variables."):] + return str(context.variables.get(var_name, "")) + # Try message context + if expr.startswith("message.") and context.message_context: + attr = expr[len("message."):] + return str(getattr(context.message_context, attr, "")) + return match.group(0) # leave unresolved + + return re.sub(r"\{\{([^}]+)\}\}", replacer, template) + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + model_uuid = self.get_config("model", "") + if not model_uuid: + raise ValueError("No model configured for LLM call node") + + if not self.ap: + raise RuntimeError("Application instance not available — cannot call LLM") + + # Resolve prompts + system_prompt = self._resolve_template( + self.get_config("system_prompt", ""), inputs, context + ) + user_prompt = self._resolve_template( + self.get_config("user_prompt_template", "{{input}}"), inputs, context + ) + + # Build messages + messages: list[provider_message.Message] = [] + if system_prompt: + messages.append(provider_message.Message(role="system", content=system_prompt)) + messages.append(provider_message.Message(role="user", content=user_prompt)) + + # Get model + runtime_model = await self.ap.model_mgr.get_model_by_uuid(model_uuid) + + # Build extra args from config + extra_args: dict[str, Any] = {} + temperature = self.get_config("temperature") + if temperature is not None: + extra_args["temperature"] = float(temperature) + max_tokens = self.get_config("max_tokens", 0) + if max_tokens and int(max_tokens) > 0: + extra_args["max_tokens"] = int(max_tokens) + + # Invoke LLM + logger.info(f"LLM call node {self.node_id}: invoking model {model_uuid}") + result_message = await runtime_model.provider.invoke_llm( + query=None, + model=runtime_model, + messages=messages, + funcs=None, + extra_args=extra_args, + ) + + # Extract response text + response_text = "" + if isinstance(result_message.content, str): + response_text = result_message.content + elif isinstance(result_message.content, list): + # ContentElement list — concatenate text elements + for elem in result_message.content: + if hasattr(elem, 'text') and elem.text: + response_text += elem.text + elif isinstance(elem, str): + response_text += elem + + # Extract usage info if available + usage = {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0} + if hasattr(result_message, 'usage') and result_message.usage: + u = result_message.usage + usage = { + "prompt_tokens": getattr(u, 'prompt_tokens', 0) or 0, + "completion_tokens": getattr(u, 'completion_tokens', 0) or 0, + "total_tokens": getattr(u, 'total_tokens', 0) or 0, + } + elif hasattr(result_message, 'token_usage') and result_message.token_usage: + u = result_message.token_usage + usage = { + "prompt_tokens": getattr(u, 'prompt_tokens', 0) or 0, + "completion_tokens": getattr(u, 'completion_tokens', 0) or 0, + "total_tokens": getattr(u, 'total_tokens', 0) or 0, + } + + return { + "response": response_text, + "usage": usage, + } diff --git a/src/langbot/pkg/workflow/nodes/loop.py b/src/langbot/pkg/workflow/nodes/loop.py new file mode 100644 index 000000000..ebfdc5594 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/loop.py @@ -0,0 +1,62 @@ +"""Loop Node - iterate over items""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('loop') +class LoopNode(WorkflowNode): + """Loop node - iterate over items""" + + type_name = "loop" + category = "control" + icon = "🔁" + name = "loop" + name_zh = "循环" + name_en = "Loop" + description = "loop" + description_zh = "遍历项目或重复直到满足条件" + description_en = "Iterate over items or repeat until condition" + + inputs: ClassVar[list[NodePort]] = [ + NodePort(name="items", type="array", description="Items to iterate over", required=False), + ] + outputs: ClassVar[list[NodePort]] = [ + NodePort(name="item", type="any", description="Current item in iteration"), + NodePort(name="index", type="number", description="Current iteration index"), + NodePort(name="results", type="array", description="All iteration results"), + NodePort(name="completed", type="boolean", description="Whether loop completed"), + ] + config_schema: ClassVar[list[NodeConfig]] = [ + NodeConfig( + name="loop_type", type="select", required=True, default="foreach", + description="Type of loop", + label={"en_US": "Loop Type", "zh_Hans": "循环类型"}, + options=["foreach", "while", "count"], + ), + NodeConfig( + name="max_iterations", type="integer", required=False, default=100, + description="Maximum iterations (safety limit)", + label={"en_US": "Max Iterations", "zh_Hans": "最大迭代次数"}, + ), + ] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + items = inputs.get("items", []) + if not isinstance(items, list): + items = [items] if items else [] + + max_iterations = self.get_config("max_iterations", 100) + items = items[:max_iterations] + + return { + "item": items[0] if items else None, + "index": 0, + "results": [], + "completed": len(items) == 0, + "_items": items, + } diff --git a/src/langbot/pkg/workflow/nodes/mcp_tool.py b/src/langbot/pkg/workflow/nodes/mcp_tool.py new file mode 100644 index 000000000..f9ea2aa8e --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/mcp_tool.py @@ -0,0 +1,70 @@ +"""MCP Tool Node - Invoke MCP (Model Context Protocol) tools + +This module contains the implementation for the MCP Tool workflow node. +Node metadata (label, description, inputs, outputs, config) is loaded from: +../../templates/metadata/nodes/mcp_tool.yaml + +The i18n for label and description is handled on the frontend side. +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('mcp_tool') +class MCPToolNode(WorkflowNode): + """MCP tool node - invoke MCP (Model Context Protocol) tools""" + + # Node type for registration + type_name = "mcp_tool" + + # Category and icon - these are not i18n + category = "integration" + icon = "Wrench" + + # Name and description - i18n handled on frontend side + # Frontend will use node type key to look up translation + name = "mcp_tool" + description = "mcp_tool" + name_zh = "MCP 工具" + name_en = "MCP Tool" + description_zh = "调用 MCP 工具" + description_en = "Invoke an MCP (Model Context Protocol) tool" + + # Inputs/outputs/config - loaded from YAML at runtime + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + """Execute the MCP tool node + + Args: + inputs: Input data from connected nodes + context: Execution context with workflow state + + Returns: + Dictionary of output values + """ + server_name = self.get_config("server_name", "") + tool_name = self.get_config("tool_name", "") + arguments_template = self.get_config("arguments_template", "") + timeout = self.get_config("timeout", 30) + + arguments = inputs.get("arguments", arguments_template) + + return { + "result": None, + "success": False, + "error": f"MCP tool '{server_name}/{tool_name}' not implemented yet", + "_debug": { + "server_name": server_name, + "tool_name": tool_name, + "arguments": arguments, + "timeout": timeout, + }, + } diff --git a/src/langbot/pkg/workflow/nodes/memory_store.py b/src/langbot/pkg/workflow/nodes/memory_store.py new file mode 100644 index 000000000..0b5282441 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/memory_store.py @@ -0,0 +1,103 @@ +"""Memory Store Node - store and retrieve from workflow memory + +Node metadata is loaded from: ../../templates/metadata/nodes/memory_store.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +class MemoryHelper: + """Helper class wrapping context.memory dict with get/set/delete/list_all/append operations""" + + def __init__(self, memory_dict: dict[str, Any]): + self._data = memory_dict + + def get(self, key: str, scope: str = "execution", default: Any = None) -> Any: + """Get a value from memory by key""" + scoped_key = f"{scope}:{key}" if scope else key + return self._data.get(scoped_key, default) + + def set(self, key: str, value: Any, scope: str = "execution", ttl: int = 0) -> None: + """Set a value in memory""" + scoped_key = f"{scope}:{key}" if scope else key + self._data[scoped_key] = value + + def delete(self, key: str, scope: str = "execution") -> None: + """Delete a value from memory""" + scoped_key = f"{scope}:{key}" if scope else key + self._data.pop(scoped_key, None) + + def list_all(self, scope: str = "execution") -> dict[str, Any]: + """List all values in the given scope""" + prefix = f"{scope}:" + return { + k[len(prefix):]: v + for k, v in self._data.items() + if k.startswith(prefix) + } + + def append(self, key: str, value: Any, scope: str = "execution", ttl: int = 0) -> list: + """Append a value to a list in memory""" + current = self.get(key, scope=scope, default=[]) + if isinstance(current, list): + current.append(value) + else: + current = [current, value] + self.set(key, current, scope=scope, ttl=ttl) + return current + + +@workflow_node('memory_store') +class MemoryStoreNode(WorkflowNode): + """Memory store node - store and retrieve from workflow memory""" + + type_name = "memory_store" + category = "integration" + icon = "HardDrive" + name = "memory_store" + description = "memory_store" + name_zh = "记忆存储" + name_en = "Memory Store" + description_zh = "从工作流记忆中存储和检索数据" + description_en = "Store and retrieve data from workflow memory" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + operation = self.get_config("operation", "get") + key = self.get_config("key", "") + scope = self.get_config("scope", "execution") + ttl = self.get_config("ttl", 0) + + value = inputs.get("value") + + # Wrap context.memory dict with MemoryHelper for structured operations + memory = MemoryHelper(context.memory) + + try: + if operation == "get": + result = memory.get(key, scope=scope) + return {"result": result, "success": True} + elif operation == "set": + memory.set(key, value, scope=scope, ttl=ttl) + return {"result": value, "success": True} + elif operation == "delete": + memory.delete(key, scope=scope) + return {"result": None, "success": True} + elif operation == "append": + result = memory.append(key, value, scope=scope, ttl=ttl) + return {"result": result, "success": True} + elif operation == "list": + result = memory.list_all(scope=scope) + return {"result": result, "success": True} + else: + return {"result": None, "success": False, "error": f"Unknown operation: {operation}"} + except Exception as e: + return {"result": None, "success": False, "error": str(e)} diff --git a/src/langbot/pkg/workflow/nodes/merge.py b/src/langbot/pkg/workflow/nodes/merge.py new file mode 100644 index 000000000..0ba335910 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/merge.py @@ -0,0 +1,65 @@ +"""Merge Node - combine multiple inputs + +Node metadata is loaded from: ../../templates/metadata/nodes/merge.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('merge') +class MergeNode(WorkflowNode): + """Merge node - combine multiple inputs""" + + type_name = "merge" + category = "control" + icon = "🔗" + name = "merge" + description = "merge" + name_zh = "合并" + name_en = "Merge" + description_zh = "将多个分支合并在一起" + description_en = "Merge multiple branches back together" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + strategy = self.get_config("merge_strategy", "object") + + values = [inputs.get("input_1"), inputs.get("input_2"), inputs.get("input_3"), inputs.get("input_4")] + non_null_values = [v for v in values if v is not None] + + if strategy == "object": + merged = {} + for i, v in enumerate(non_null_values): + if isinstance(v, dict): + merged.update(v) + else: + merged[f"value_{i}"] = v + return {"merged": merged, "array": non_null_values} + + elif strategy == "array": + return {"merged": non_null_values, "array": non_null_values} + + elif strategy == "first_non_null": + first = non_null_values[0] if non_null_values else None + return {"merged": first, "array": non_null_values} + + elif strategy == "concat": + if all(isinstance(v, str) for v in non_null_values): + return {"merged": "".join(non_null_values), "array": non_null_values} + elif all(isinstance(v, list) for v in non_null_values): + merged_list = [] + for v in non_null_values: + merged_list.extend(v) + return {"merged": merged_list, "array": merged_list} + else: + return {"merged": non_null_values, "array": non_null_values} + + return {"merged": non_null_values, "array": non_null_values} diff --git a/src/langbot/pkg/workflow/nodes/message_trigger.py b/src/langbot/pkg/workflow/nodes/message_trigger.py new file mode 100644 index 000000000..e16e0c129 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/message_trigger.py @@ -0,0 +1,56 @@ +"""Message Trigger Node - triggers workflow on message arrival + +This module contains the implementation for the Message Trigger workflow node. +Node metadata (label, description, inputs, outputs, config) is loaded from: +../../templates/metadata/nodes/message_trigger.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('message_trigger') +class MessageTriggerNode(WorkflowNode): + """Message trigger node - triggers workflow on message arrival""" + + type_name = "message_trigger" + category = "trigger" + icon = "💬" + name = "message_trigger" + description = "message_trigger" + name_zh = "消息触发" + name_en = "Message Trigger" + description_zh = "当收到消息时触发工作流" + description_en = "Trigger workflow when a message is received" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + msg_ctx = context.message_context + + if msg_ctx: + return { + "message": msg_ctx.message_content, + "sender_id": msg_ctx.sender_id, + "sender_name": msg_ctx.sender_name, + "platform": msg_ctx.platform, + "conversation_id": msg_ctx.conversation_id, + "is_group": msg_ctx.is_group, + "context": msg_ctx.model_dump(), + } + + return { + "message": context.get_variable("message", ""), + "sender_id": context.get_variable("sender_id", ""), + "sender_name": context.get_variable("sender_name", ""), + "platform": context.get_variable("platform", ""), + "conversation_id": context.get_variable("conversation_id", ""), + "is_group": context.get_variable("is_group", False), + "context": context.trigger_data, + } diff --git a/src/langbot/pkg/workflow/nodes/n8n_workflow.py b/src/langbot/pkg/workflow/nodes/n8n_workflow.py new file mode 100644 index 000000000..cbfe2771f --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/n8n_workflow.py @@ -0,0 +1,47 @@ +"""N8n Workflow Node - call n8n workflow API + +Node metadata is loaded from: ../../templates/metadata/nodes/n8n_workflow.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('n8n_workflow') +class N8nWorkflowNode(WorkflowNode): + """n8n workflow node - call n8n workflow API""" + + type_name = "n8n_workflow" + category = "integration" + icon = "Workflow" + name = "n8n_workflow" + description = "n8n_workflow" + name_zh = "n8n 工作流" + name_en = "N8n Workflow" + description_zh = "通过 webhook 调用 n8n 工作流" + description_en = "Call an n8n workflow via webhook" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + webhook_url = self.get_config("webhook_url", "") + auth_type = self.get_config("auth_type", "none") + timeout = self.get_config("timeout", 120) + payload = inputs.get("payload", {}) + + return { + "result": None, + "success": False, + "_debug": { + "webhook_url": webhook_url, + "auth_type": auth_type, + "timeout": timeout, + "payload": payload, + }, + } diff --git a/src/langbot/pkg/workflow/nodes/opening_statement.py b/src/langbot/pkg/workflow/nodes/opening_statement.py new file mode 100644 index 000000000..ec2f136de --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/opening_statement.py @@ -0,0 +1,37 @@ +"""Opening Statement Node - provide conversation opener and suggested questions + +Node metadata is loaded from: ../../templates/metadata/nodes/opening_statement.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('opening_statement') +class OpeningStatementNode(WorkflowNode): + """Opening statement node - provide conversation opener and suggested questions""" + + type_name = "opening_statement" + category = "action" + icon = "👋" + name = "opening_statement" + description = "opening_statement" + name_zh = "对话开场白" + name_en = "Opening Statement" + description_zh = "提供对话开场白和建议问题" + description_en = "Provide conversation opener and suggested questions" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + statement = self.get_config("statement", "") + suggestions = self.get_config("suggested_questions", []) + show = self.get_config("show_suggestions", True) + + return {"statement": statement, "suggested_questions": suggestions if show else []} diff --git a/src/langbot/pkg/workflow/nodes/parallel.py b/src/langbot/pkg/workflow/nodes/parallel.py new file mode 100644 index 000000000..4dae7add6 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/parallel.py @@ -0,0 +1,49 @@ +"""Parallel Node - execute multiple branches simultaneously""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('parallel') +class ParallelNode(WorkflowNode): + """Parallel node - execute multiple branches simultaneously""" + + type_name = "parallel" + category = "control" + icon = "⚡" + name = "parallel" + name_zh = "并行执行" + name_en = "Parallel" + description = "parallel" + description_zh = "并行执行多个分支" + description_en = "Execute multiple branches in parallel" + + inputs: ClassVar[list[NodePort]] = [ + NodePort(name="input", type="any", description="Input data for all branches", required=False), + ] + outputs: ClassVar[list[NodePort]] = [ + NodePort(name="results", type="object", description="Combined results from all branches"), + NodePort(name="errors", type="array", description="Errors from branches (if any)"), + ] + config_schema: ClassVar[list[NodeConfig]] = [ + NodeConfig( + name="wait_all", type="boolean", required=False, default=True, + description="Wait for all branches to complete", + label={"en_US": "Wait for All", "zh_Hans": "等待全部完成"}, + ), + NodeConfig( + name="fail_fast", type="boolean", required=False, default=False, + description="Stop all branches if any fails", + label={"en_US": "Fail Fast", "zh_Hans": "快速失败"}, + ), + ] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + return { + "results": {}, + "errors": [], + } diff --git a/src/langbot/pkg/workflow/nodes/parameter_extractor.py b/src/langbot/pkg/workflow/nodes/parameter_extractor.py new file mode 100644 index 000000000..683631828 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/parameter_extractor.py @@ -0,0 +1,40 @@ +"""Parameter Extractor Node - extract structured parameters from text + +Node metadata is loaded from: ../../templates/metadata/nodes/parameter_extractor.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('parameter_extractor') +class ParameterExtractorNode(WorkflowNode): + """Parameter extractor node - extract structured parameters from text""" + + type_name = "parameter_extractor" + category = "process" + icon: str = "📤" + name = "parameter_extractor" + description = "parameter_extractor" + name_zh = "参数提取器" + name_en = "Parameter Extractor" + description_zh = "使用 AI 从文本中提取结构化参数" + description_en = "Extract structured parameters from text using AI" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + text = inputs.get("text", "") + param_defs = self.get_config("parameters", []) + + extracted = {} + for param in param_defs: + extracted[param.get("name", "")] = None + + return {"parameters": extracted, "extraction_success": False} diff --git a/src/langbot/pkg/workflow/nodes/plugin_call.py b/src/langbot/pkg/workflow/nodes/plugin_call.py new file mode 100644 index 000000000..e80ce83a7 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/plugin_call.py @@ -0,0 +1,42 @@ +# """Plugin Call Node - invoke a plugin + +# Node metadata is loaded from: ../../templates/metadata/nodes/plugin_call.yaml +# """ + +# from __future__ import annotations + +# from typing import Any, ClassVar + +# from ..entities import ExecutionContext +# from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +# @workflow_node('plugin_call') +# class PluginCallNode(WorkflowNode): +# """Plugin call node - invoke a plugin""" + +# type_name = "plugin_call" +# category = "action" +# icon = "🔌" +# name = "plugin_call" +# description = "plugin_call" + +# inputs: ClassVar[list[NodePort]] = [] +# outputs: ClassVar[list[NodePort]] = [] +# config_schema: ClassVar[list[NodeConfig]] = [] + +# async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: +# plugin_name = self.get_config("plugin_name", "") +# method_name = self.get_config("method_name", "") +# arguments = inputs.get("arguments", {}) + +# return { +# "result": None, +# "success": False, +# "error": f"Plugin call '{plugin_name}/{method_name}' not implemented yet", +# "_debug": { +# "plugin_name": plugin_name, +# "method_name": method_name, +# "arguments": arguments, +# }, +# } diff --git a/src/langbot/pkg/workflow/nodes/question_classifier.py b/src/langbot/pkg/workflow/nodes/question_classifier.py new file mode 100644 index 000000000..6f6ecb3cc --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/question_classifier.py @@ -0,0 +1,43 @@ +"""Question Classifier Node - classify user questions into categories + +Node metadata is loaded from: ../../templates/metadata/nodes/question_classifier.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('question_classifier') +class QuestionClassifierNode(WorkflowNode): + """Question classifier node - classify user questions into categories""" + + type_name = "question_classifier" + category = "process" + icon = "🏷️" + name = "question_classifier" + description = "question_classifier" + name_zh = "问题分类器" + name_en = "Question Classifier" + description_zh = "使用 AI 将问题分类到预定义类别" + description_en = "Classify questions into predefined categories using AI" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + question = inputs.get("question", "") + categories = self.get_config("categories", []) + + if categories: + return { + "category": categories[0].get("name", "unknown"), + "confidence": 0.8, + "all_scores": {cat.get("name"): 0.1 for cat in categories}, + } + + return {"category": "unknown", "confidence": 0.0, "all_scores": {}} diff --git a/src/langbot/pkg/workflow/nodes/redis_operation.py b/src/langbot/pkg/workflow/nodes/redis_operation.py new file mode 100644 index 000000000..809c84035 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/redis_operation.py @@ -0,0 +1,53 @@ +"""Redis Operation Node - perform Redis cache operations + +Node metadata is loaded from: ../../templates/metadata/nodes/redis_operation.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('redis_operation') +class RedisOperationNode(WorkflowNode): + """Redis operation node - perform Redis cache operations""" + + type_name = "redis_operation" + category = "integration" + icon = "Server" + name = "redis_operation" + description = "redis_operation" + name_zh = "Redis 操作" + name_en = "Redis Operation" + description_zh = "执行 Redis 缓存操作" + description_en = "Perform Redis cache operations" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + connection_url = self.get_config("connection_url", "redis://localhost:6379") + operation = self.get_config("operation", "get") + key_template = self.get_config("key_template", "") + hash_field = self.get_config("hash_field", "") + ttl = self.get_config("ttl", 0) + + key = inputs.get("key", key_template) + value = inputs.get("value") + + return { + "result": None, + "success": False, + "_debug": { + "connection_url": connection_url, + "operation": operation, + "key": key, + "hash_field": hash_field, + "ttl": ttl, + "value": value, + }, + } diff --git a/src/langbot/pkg/workflow/nodes/reply_message.py b/src/langbot/pkg/workflow/nodes/reply_message.py new file mode 100644 index 000000000..5ae523208 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/reply_message.py @@ -0,0 +1,95 @@ +"""Reply Message Node - reply to the triggering message + +Node metadata is loaded from: ../../templates/metadata/nodes/reply_message.yaml +""" + +from __future__ import annotations + +import logging +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + +logger = logging.getLogger(__name__) + + +@workflow_node('reply_message') +class ReplyMessageNode(WorkflowNode): + """Reply message node - reply to the triggering message""" + + type_name = "reply_message" + category = "action" + icon = "↩️" + name = "reply_message" + description = "reply_message" + name_zh = "回复消息" + name_en = "Reply Message" + description_zh = "回复触发工作流的消息" + description_en = "Reply to the message that triggered the workflow" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + message = inputs.get("message") + if message in (None, ""): + message = inputs.get("input") + if message in (None, ""): + message = inputs.get("response") + if message in (None, "") and context.message_context: + message = context.message_context.message_content + if message is None: + message = "" + + template = self.get_config("message_template") + + if template: + message = template + for key, value in inputs.items(): + message = message.replace(f"{{{{{key}}}}}", str(value)) + for key, value in context.variables.items(): + message = message.replace(f"{{{{variables.{key}}}}}", str(value)) + + logger.info( + "ReplyMessageNode resolved message", + extra={ + 'node_id': self.node_id, + 'execution_id': context.execution_id, + 'input_keys': list(inputs.keys()), + 'message_preview': str(message)[:200], + 'has_template': bool(template), + 'session_id': context.session_id, + }, + ) + + if not str(message).strip(): + logger.warning( + "ReplyMessageNode has empty message after resolution", + extra={ + 'node_id': self.node_id, + 'execution_id': context.execution_id, + 'input_keys': list(inputs.keys()), + }, + ) + + # 实际发送消息 + if self.ap: + from langbot_plugin.api.entities.builtin.platform.message import MessageChain, Plain + message_chain = MessageChain([Plain(text=str(message))]) + await self.ap.platform_mgr.websocket_proxy_bot.adapter.send_message( + target_type='person', + target_id=f'websocket_{context.session_id}', + message=message_chain, + ) + else: + logger.warning( + "ReplyMessageNode missing application instance", + extra={ + 'node_id': self.node_id, + 'execution_id': context.execution_id, + }, + ) + + return {"status": "sent", "message_id": f"reply_{context.execution_id}"} diff --git a/src/langbot/pkg/workflow/nodes/send_message.py b/src/langbot/pkg/workflow/nodes/send_message.py new file mode 100644 index 000000000..d85c8a7c1 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/send_message.py @@ -0,0 +1,36 @@ +"""Send Message Node - send message to a target + +Node metadata is loaded from: ../../templates/metadata/nodes/send_message.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('send_message') +class SendMessageNode(WorkflowNode): + """Send message node - send message to a target""" + + type_name = "send_message" + category = "action" + icon = "📤" + name = "send_message" + description = "send_message" + name_zh = "发送消息" + name_en = "Send Message" + description_zh = "向聊天或用户发送消息" + description_en = "Send a message to a chat or user" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + message = inputs.get("message", "") + target = inputs.get("target") or self.get_config("target_id", "") + + return {"status": "sent", "message_id": f"msg_{context.execution_id}"} diff --git a/src/langbot/pkg/workflow/nodes/set_variable.py b/src/langbot/pkg/workflow/nodes/set_variable.py new file mode 100644 index 000000000..37ba8bdb1 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/set_variable.py @@ -0,0 +1,64 @@ +"""Set Variable Node - set workflow or conversation variable + +Node metadata is loaded from: ../../templates/metadata/nodes/set_variable.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('set_variable') +class SetVariableNode(WorkflowNode): + """Set variable node - set workflow or conversation variable""" + + type_name = "set_variable" + category = "action" + icon = "📝" + name = "set_variable" + description = "set_variable" + name_zh = "设置变量" + name_en = "Set Variable" + description_zh = "设置上下文变量值" + description_en = "Set a context variable value" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + value = inputs.get("value") + name = self.get_config("variable_name", "") + scope = self.get_config("variable_scope", "workflow") + operation = self.get_config("operation", "set") + + if scope == "conversation": + current = context.get_conversation_variable(name) + else: + current = context.get_variable(name) + + if operation == "set": + final_value = value + elif operation == "append": + if isinstance(current, list): + final_value = current + [value] + elif isinstance(current, str): + final_value = current + str(value) + else: + final_value = [current, value] if current else [value] + elif operation == "increment": + final_value = (current or 0) + (value if isinstance(value, (int, float)) else 1) + elif operation == "decrement": + final_value = (current or 0) - (value if isinstance(value, (int, float)) else 1) + else: + final_value = value + + if scope == "conversation": + context.set_conversation_variable(name, final_value) + else: + context.set_variable(name, final_value) + + return {"value": final_value} diff --git a/src/langbot/pkg/workflow/nodes/store_data.py b/src/langbot/pkg/workflow/nodes/store_data.py new file mode 100644 index 000000000..260092b08 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/store_data.py @@ -0,0 +1,45 @@ +"""Store Data Node - save data to storage + +Node metadata is loaded from: ../../templates/metadata/nodes/store_data.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('store_data') +class StoreDataNode(WorkflowNode): + """Store data node - save data to storage""" + + type_name = "store_data" + category = "action" + icon = "💾" + name = "store_data" + description = "store_data" + name_zh = "存储数据" + name_en = "Store Data" + description_zh = "将数据存储到持久化存储" + description_en = "Store data to persistent storage" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + key = inputs.get("key", "") + value = inputs.get("value") + storage_type = self.get_config("storage_type", "session") + prefix = self.get_config("key_prefix", "") + + full_key = f"{prefix}{key}" if prefix else key + + if storage_type == "session": + context.set_conversation_variable(full_key, value) + else: + context.set_variable(full_key, value) + + return {"status": "stored"} diff --git a/src/langbot/pkg/workflow/nodes/switch.py b/src/langbot/pkg/workflow/nodes/switch.py new file mode 100644 index 000000000..5dffa7157 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/switch.py @@ -0,0 +1,64 @@ +"""Switch Node - multi-way branch based on value + +Node metadata is loaded from: ../../templates/metadata/nodes/switch.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('switch') +class SwitchNode(WorkflowNode): + """Switch node - multi-way branch based on value""" + + type_name = "switch" + category = "control" + icon = "🔃" + name = "switch" + description = "switch" + name_zh = "多路分支" + name_en = "Switch" + description_zh = "根据多个条件分支工作流" + description_en = "Branch workflow based on multiple cases" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + expression = self.get_config("expression", "") + cases = self.get_config("cases", []) + input_data = inputs.get("input") + + value = await self._evaluate_expression(expression, input_data, context) + + for case in cases: + if str(case.get("value")) == str(value): + return {"matched_case": input_data, "default": None, "_matched_output": case.get("output")} + + return {"matched_case": None, "default": input_data} + + async def _evaluate_expression(self, expression: str, data: Any, context: ExecutionContext) -> Any: + if not expression: + return data + + if expression.startswith("{{") and expression.endswith("}}"): + var_path = expression[2:-2].strip() + parts = var_path.split(".") + + if parts[0] == "input": + result = data + for part in parts[1:]: + if isinstance(result, dict): + result = result.get(part) + else: + return None + return result + elif parts[0] == "variables": + return context.variables.get(".".join(parts[1:])) + + return expression diff --git a/src/langbot/pkg/workflow/nodes/variable_aggregator.py b/src/langbot/pkg/workflow/nodes/variable_aggregator.py new file mode 100644 index 000000000..075009239 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/variable_aggregator.py @@ -0,0 +1,51 @@ +"""Variable Aggregator Node - aggregate variables from multiple branches + +Node metadata is loaded from: ../../templates/metadata/nodes/variable_aggregator.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('variable_aggregator') +class VariableAggregatorNode(WorkflowNode): + """Variable aggregator node - aggregate variables from multiple branches""" + + type_name = "variable_aggregator" + category = "control" + icon = "📊" + name = "variable_aggregator" + description = "variable_aggregator" + name_zh = "变量聚合器" + name_en = "Variable Aggregator" + description_zh = "聚合多个分支的变量输出" + description_en = "Aggregate variable outputs from multiple branches" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + variables = inputs.get("variables", {}) + mode = self.get_config("aggregation_mode", "merge") + + aggregated = {} + + if mode == "merge": + if isinstance(variables, dict): + aggregated.update(variables) + elif mode == "override": + if isinstance(variables, dict): + aggregated = variables.copy() + elif mode == "append": + for key, value in (variables if isinstance(variables, dict) else {}).items(): + if key in aggregated and isinstance(aggregated[key], list): + aggregated[key].append(value) + else: + aggregated[key] = [value] + + return {"aggregated": aggregated} diff --git a/src/langbot/pkg/workflow/nodes/wait.py b/src/langbot/pkg/workflow/nodes/wait.py new file mode 100644 index 000000000..bceda8646 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/wait.py @@ -0,0 +1,45 @@ +"""Wait Node - pause execution for a duration + +Node metadata is loaded from: ../../templates/metadata/nodes/wait.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('wait') +class WaitNode(WorkflowNode): + """Wait node - pause execution for a duration""" + + type_name = "wait" + category = "control" + icon = "⏳" + name = "wait" + description = "wait" + name_zh = "等待" + name_en = "Wait" + description_zh = "暂停工作流执行指定时间" + description_en = "Pause workflow execution for a specified duration" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + import asyncio + + duration = self.get_config("duration", 1) + duration_type = self.get_config("duration_type", "seconds") + + if duration_type == "minutes": + duration *= 60 + elif duration_type == "hours": + duration *= 3600 + + await asyncio.sleep(duration) + + return {"output": inputs.get("input")} diff --git a/src/langbot/pkg/workflow/nodes/webhook_trigger.py b/src/langbot/pkg/workflow/nodes/webhook_trigger.py new file mode 100644 index 000000000..eaa137250 --- /dev/null +++ b/src/langbot/pkg/workflow/nodes/webhook_trigger.py @@ -0,0 +1,40 @@ +"""Webhook Trigger Node - triggers workflow via HTTP request + +Node metadata is loaded from: ../../templates/metadata/nodes/webhook_trigger.yaml +""" + +from __future__ import annotations + +from typing import Any, ClassVar + +from ..entities import ExecutionContext +from ..node import WorkflowNode, workflow_node, NodePort, NodeConfig + + +@workflow_node('webhook_trigger') +class WebhookTriggerNode(WorkflowNode): + """Webhook trigger node - triggers workflow via HTTP request""" + + type_name = "webhook_trigger" + category = "trigger" + icon = "🌐" + name = "webhook_trigger" + description = "webhook_trigger" + name_zh = "Webhook 触发" + name_en = "Webhook Trigger" + description_zh = "通过 HTTP 请求触发工作流" + description_en = "Trigger workflow via HTTP webhook" + + inputs: ClassVar[list[NodePort]] = [] + outputs: ClassVar[list[NodePort]] = [] + config_schema: ClassVar[list[NodeConfig]] = [] + + async def execute(self, inputs: dict[str, Any], context: ExecutionContext) -> dict[str, Any]: + trigger_data = context.trigger_data + + return { + "body": trigger_data.get("body", {}), + "headers": trigger_data.get("headers", {}), + "query": trigger_data.get("query", {}), + "method": trigger_data.get("method", "POST"), + } diff --git a/src/langbot/pkg/workflow/registry.py b/src/langbot/pkg/workflow/registry.py new file mode 100644 index 000000000..657389124 --- /dev/null +++ b/src/langbot/pkg/workflow/registry.py @@ -0,0 +1,161 @@ +"""Node type registry""" +from __future__ import annotations + +from typing import Any, Optional + +from .node import WorkflowNode, get_pending_registrations, clear_pending_registrations + + +class NodeTypeRegistry: + """ + Central registry for all workflow node types. + Supports both built-in and plugin-provided nodes. + """ + + _instance: Optional['NodeTypeRegistry'] = None + + def __init__(self): + self._nodes: dict[str, type[WorkflowNode]] = {} + self._categories: dict[str, list[str]] = { + 'trigger': [], + 'process': [], + 'control': [], + 'action': [], + 'integration': [], + 'misc': [], + } + + @classmethod + def instance(cls) -> 'NodeTypeRegistry': + """Get singleton instance""" + if cls._instance is None: + cls._instance = cls() + return cls._instance + + def register(self, node_type: str, node_class: type[WorkflowNode]): + """ + Register a node type. + + Args: + node_type: Unique type identifier + node_class: WorkflowNode subclass + """ + self._nodes[node_type] = node_class + + # Add to category + category = getattr(node_class, 'category', 'misc') + if category not in self._categories: + self._categories[category] = [] + if node_type not in self._categories[category]: + self._categories[category].append(node_type) + + def unregister(self, node_type: str): + """Unregister a node type""" + if node_type in self._nodes: + node_class = self._nodes[node_type] + category = getattr(node_class, 'category', 'misc') + if category in self._categories and node_type in self._categories[category]: + self._categories[category].remove(node_type) + del self._nodes[node_type] + + def get(self, node_type: str) -> Optional[type[WorkflowNode]]: + """Get node class by type. Supports both 'category.type_name' and short 'type_name' formats.""" + # First try exact match (category.type_name format) + if node_type in self._nodes: + return self._nodes[node_type] + + # Try short name format (e.g., 'dify_workflow' -> 'integration.dify_workflow') + # Search through all registered nodes for a matching type_name + for registered_type, node_class in self._nodes.items(): + if node_class.type_name == node_type: + return node_class + + return None + + def create_instance(self, node_type: str, node_id: str, config: dict[str, Any], ap: Optional['app.Application'] = None) -> Optional[WorkflowNode]: + """Create a node instance. Supports both 'category.type_name' and short 'type_name' formats.""" + node_class = self.get(node_type) + if node_class: + return node_class(node_id, config, ap=ap) + return None + + def list_all(self) -> list[dict[str, Any]]: + """ + Get all registered node types as schema list. + + Returns: + List of node schemas + """ + return [ + node_class.to_schema() + for node_class in self._nodes.values() + ] + + def list_by_category(self, category: str) -> list[dict[str, Any]]: + """ + Get node types by category. + + Args: + category: Category name (trigger, process, control, action, integration, misc) + + Returns: + List of node schemas in the category + """ + if category not in self._categories: + return [] + return [ + self._nodes[node_type].to_schema() + for node_type in self._categories[category] + if node_type in self._nodes + ] + + def get_categories(self) -> dict[str, list[dict[str, Any]]]: + """ + Get all nodes organized by category. + + Returns: + Dictionary mapping category names to lists of node schemas + """ + return { + category: self.list_by_category(category) + for category in self._categories.keys() + } + + def has_type(self, node_type: str) -> bool: + """Check if a node type is registered. Supports both formats.""" + return self.get(node_type) is not None + + def process_pending_registrations(self): + """Process all pending node registrations from decorators""" + for node_type, node_class in get_pending_registrations(): + # Use category.type_name format for consistency with frontend + category = getattr(node_class, 'category', 'misc') + full_type = f'{category}.{node_type}' + self.register(full_type, node_class) + clear_pending_registrations() + + def count(self) -> int: + """Get total number of registered node types""" + return len(self._nodes) + + def clear(self): + """Clear all registrations (for testing)""" + self._nodes.clear() + for category in self._categories: + self._categories[category] = [] + + +# Convenience functions for module-level access +def register_node(node_type: str, node_class: type[WorkflowNode]): + """Register a node type to the global registry""" + NodeTypeRegistry.instance().register(node_type, node_class) + + +def get_node_class(node_type: str) -> Optional[type[WorkflowNode]]: + """Get a node class from the global registry""" + return NodeTypeRegistry.instance().get(node_type) + + +def list_node_types() -> list[dict[str, Any]]: + """List all registered node types""" + return NodeTypeRegistry.instance().list_all() diff --git a/src/langbot/pkg/workflow/safe_eval.py b/src/langbot/pkg/workflow/safe_eval.py new file mode 100644 index 000000000..497e7f7c0 --- /dev/null +++ b/src/langbot/pkg/workflow/safe_eval.py @@ -0,0 +1,151 @@ +"""Safe expression evaluator for workflow nodes. + +Uses Python's ``ast`` module to whitelist only comparison, boolean, arithmetic, +and simple attribute / subscript access. No function calls, imports, or +arbitrary code execution. + +The public API is :func:`safe_eval_with_vars` which accepts a mapping of +allowed variable names so that expressions like ``input == "hello"`` or +``data.x > 3`` work without resorting to :func:`eval`. +""" +from __future__ import annotations + +import ast +import operator +from typing import Any + + +_SAFE_OPS = { + # Arithmetic + ast.Add: operator.add, + ast.Sub: operator.sub, + ast.Mult: operator.mul, + ast.Div: operator.truediv, + ast.FloorDiv: operator.floordiv, + ast.Mod: operator.mod, + ast.Pow: operator.pow, + # Unary + ast.USub: operator.neg, + ast.UAdd: operator.pos, + ast.Not: operator.not_, + # Comparison + ast.Eq: operator.eq, + ast.NotEq: operator.ne, + ast.Lt: operator.lt, + ast.LtE: operator.le, + ast.Gt: operator.gt, + ast.GtE: operator.ge, + ast.Is: operator.is_, + ast.IsNot: operator.is_not, + ast.In: lambda a, b: a in b, + ast.NotIn: lambda a, b: a not in b, +} + + +def safe_eval_with_vars(expr: str, variables: dict[str, Any] | None = None) -> Any: + """Evaluate an expression safely with an optional variable mapping. + + Supports: + - Literals (numbers, strings, booleans, None) + - Comparisons (==, !=, <, >, <=, >=, in, not in, is, is not) + - Boolean logic (and, or, not) + - Arithmetic (+, -, *, /, //, %, **) + - Ternary (x if cond else y) + - Variable references from *variables* dict (e.g. ``input``, ``data``) + - Attribute access on known variables (e.g. ``data.name``) + - Subscript access on known variables (e.g. ``data["key"]``, ``items[0]``) + + Raises :class:`ValueError` on any disallowed construct (function calls, + starred expressions, walrus operator, etc.). + """ + variables = variables or {} + tree = ast.parse(expr.strip(), mode='eval') + return _eval_node(tree.body, variables) + + +def _eval_node(node: ast.AST, variables: dict[str, Any]) -> Any: + # Literals + if isinstance(node, ast.Constant): + return node.value + + # Variable references + if isinstance(node, ast.Name): + if node.id in ('None', 'True', 'False'): + return {'None': None, 'True': True, 'False': False}[node.id] + if node.id in variables: + return variables[node.id] + raise ValueError(f"Unsupported variable reference: {node.id}") + + # Attribute access: obj.attr (only on allowed variables) + if isinstance(node, ast.Attribute): + obj = _eval_node(node.value, variables) + attr = node.attr + if isinstance(obj, dict): + return obj.get(attr) + if hasattr(obj, attr): + return getattr(obj, attr) + return None + + # Subscript access: obj[key] (only on allowed variables) + if isinstance(node, ast.Subscript): + obj = _eval_node(node.value, variables) + key = _eval_node(node.slice, variables) + try: + return obj[key] + except (KeyError, IndexError, TypeError): + return None + + # Unary operators + if isinstance(node, ast.UnaryOp): + op_fn = _SAFE_OPS.get(type(node.op)) + if op_fn is None: + raise ValueError(f"Unsupported unary op: {type(node.op).__name__}") + return op_fn(_eval_node(node.operand, variables)) + + # Binary operators + if isinstance(node, ast.BinOp): + op_fn = _SAFE_OPS.get(type(node.op)) + if op_fn is None: + raise ValueError(f"Unsupported binary op: {type(node.op).__name__}") + return op_fn(_eval_node(node.left, variables), _eval_node(node.right, variables)) + + # Comparisons (chained) + if isinstance(node, ast.Compare): + left = _eval_node(node.left, variables) + for op, comparator in zip(node.ops, node.comparators): + op_fn = _SAFE_OPS.get(type(op)) + if op_fn is None: + raise ValueError(f"Unsupported comparison: {type(op).__name__}") + right = _eval_node(comparator, variables) + if not op_fn(left, right): + return False + left = right + return True + + # Boolean operators + if isinstance(node, ast.BoolOp): + if isinstance(node.op, ast.And): + return all(_eval_node(v, variables) for v in node.values) + if isinstance(node.op, ast.Or): + return any(_eval_node(v, variables) for v in node.values) + + # Ternary + if isinstance(node, ast.IfExp): + return ( + _eval_node(node.body, variables) + if _eval_node(node.test, variables) + else _eval_node(node.orelse, variables) + ) + + # Tuples / Lists (e.g. ``x in [1, 2, 3]``) + if isinstance(node, (ast.Tuple, ast.List)): + return [_eval_node(e, variables) for e in node.elts] + + # Dict literals (e.g. ``{"a": 1}``) + if isinstance(node, ast.Dict): + return { + _eval_node(k, variables): _eval_node(v, variables) + for k, v in zip(node.keys, node.values) + } + + raise ValueError(f"Unsupported expression node: {type(node).__name__}") diff --git a/src/langbot/templates/metadata/nodes/call_pipeline.yaml b/src/langbot/templates/metadata/nodes/call_pipeline.yaml new file mode 100644 index 000000000..5f25cae6b --- /dev/null +++ b/src/langbot/templates/metadata/nodes/call_pipeline.yaml @@ -0,0 +1,74 @@ +# Call Pipeline Node Configuration +name: call_pipeline +category: action +icon: "⚙️" +color: '#ef4444' +description: 'workflows.nodes.callPipelineDescription' + +inputs: + - name: query + type: string + label: + en_US: Query + zh_Hans: 查询 + description: + en_US: Query to send + zh_Hans: 要发送的查询 + - name: context + type: object + label: + en_US: Context + zh_Hans: 上下文 + description: + en_US: Context data + zh_Hans: 上下文数据 + required: false + +outputs: + - name: response + type: string + label: + en_US: Response + zh_Hans: 响应 + description: + en_US: Pipeline response + zh_Hans: 流水线响应 + - name: result + type: object + label: + en_US: Result + zh_Hans: 结果 + description: + en_US: Pipeline result + zh_Hans: 流水线结果 + +config: + - name: pipeline_uuid + type: pipeline-selector + required: true + label: + en_US: Pipeline + zh_Hans: 流水线 + description: + en_US: Pipeline to call + zh_Hans: 要调用的流水线 + + - name: inherit_context + type: boolean + default: true + label: + en_US: Inherit Context + zh_Hans: 继承上下文 + description: + en_US: Whether to inherit context + zh_Hans: 是否继承上下文 + + - name: timeout + type: integer + default: 120 + label: + en_US: Timeout (seconds) + zh_Hans: 超时时间（秒） + description: + en_US: Timeout in seconds + zh_Hans: 超时时间（秒） diff --git a/src/langbot/templates/metadata/nodes/code_executor.yaml b/src/langbot/templates/metadata/nodes/code_executor.yaml new file mode 100644 index 000000000..d3225c424 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/code_executor.yaml @@ -0,0 +1,73 @@ +# Code Executor Node Configuration +# This file defines the metadata for the Code Executor workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/code_executor.py + +name: code_executor +category: process +icon: "💻" +color: '#3b82f6' +description: 'workflows.nodes.codeExecutorDescription' + +inputs: + - name: input + type: any + label: + en_US: Input + zh_Hans: 输入 + description: + en_US: Input data for the code + zh_Hans: 代码的输入数据 + +outputs: + - name: output + type: any + label: + en_US: Output + zh_Hans: 输出 + description: + en_US: Code execution result + zh_Hans: 代码执行结果 + - name: logs + type: array + label: + en_US: Logs + zh_Hans: 日志 + description: + en_US: Console logs from code execution + zh_Hans: 代码执行的控制台日志 + +config: + - name: language + type: select + required: true + default: javascript + options: + - javascript + - python + label: + en_US: Language + zh_Hans: 语言 + description: + en_US: Programming language to use + zh_Hans: 要使用的编程语言 + + - name: code + type: textarea + required: true + default: "return input;" + label: + en_US: Code + zh_Hans: 代码 + description: + en_US: Code to execute + zh_Hans: 要执行的代码 + + - name: timeout + type: integer + default: 5000 + label: + en_US: Timeout (ms) + zh_Hans: 超时时间 (毫秒) + description: + en_US: Maximum execution time in milliseconds + zh_Hans: 最大执行时间（毫秒） diff --git a/src/langbot/templates/metadata/nodes/condition.yaml b/src/langbot/templates/metadata/nodes/condition.yaml new file mode 100644 index 000000000..17c4ad4ff --- /dev/null +++ b/src/langbot/templates/metadata/nodes/condition.yaml @@ -0,0 +1,122 @@ +# Condition Node Configuration +# This file defines the metadata for the Condition workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/condition.py + +name: condition +category: control +icon: "🔀" +color: '#8b5cf6' +description: 'workflows.nodes.conditionDescription' + +inputs: + - name: input + type: any + label: + en_US: Input + zh_Hans: 输入 + description: + en_US: Input data for condition evaluation + zh_Hans: 用于条件评估的输入数据 + +outputs: + - name: "true" + type: any + label: + en_US: True + zh_Hans: 真 + description: + en_US: Output when condition is true + zh_Hans: 条件为真时的输出 + - name: "false" + type: any + label: + en_US: False + zh_Hans: 假 + description: + en_US: Output when condition is false + zh_Hans: 条件为假时的输出 + +config: + - name: condition_type + type: select + required: true + default: expression + options: + - expression + - comparison + - exists + - type_check + label: + en_US: Condition Type + zh_Hans: 条件类型 + description: + en_US: Type of condition to evaluate + zh_Hans: 要评估的条件类型 + + - name: expression + type: string + default: "" + label: + en_US: Expression + zh_Hans: 表达式 + description: + en_US: JavaScript expression that evaluates to true/false + zh_Hans: 评估为 true/false 的表达式 + + - name: left_value + type: string + default: "{{input}}" + label: + en_US: Left Value + zh_Hans: 左值 + description: + en_US: Left side of comparison + zh_Hans: 比较的左侧 + + - name: operator + type: select + default: eq + options: + - eq + - neq + - gt + - gte + - lt + - lte + - contains + - starts_with + - ends_with + - matches + label: + en_US: Operator + zh_Hans: 运算符 + description: + en_US: Comparison operator + zh_Hans: 比较运算符 + + - name: right_value + type: string + default: "" + label: + en_US: Right Value + zh_Hans: 右值 + description: + en_US: Right side of comparison + zh_Hans: 比较的右侧 + + - name: expected_type + type: select + default: string + options: + - string + - number + - boolean + - object + - array + - "null" + label: + en_US: Expected Type + zh_Hans: 期望类型 + description: + en_US: The type to check for + zh_Hans: 要检查的类型 diff --git a/src/langbot/templates/metadata/nodes/coze_bot.yaml b/src/langbot/templates/metadata/nodes/coze_bot.yaml new file mode 100644 index 000000000..334e93e72 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/coze_bot.yaml @@ -0,0 +1,122 @@ +# Coze Bot Node Configuration +name: coze_bot +label: + en_US: Coze Bot + zh_Hans: Coze Bot +description: + en_US: Call Coze API bot + zh_Hans: 调用扣子 API 机器人 +category: integration +icon: MessageSquare +color: '#3b82f6' + +inputs: + - name: query + type: string + label: + en_US: Query + zh_Hans: 查询 + description: + en_US: User input/query + zh_Hans: 用户输入/查询 + required: true + - name: conversation_id + type: string + label: + en_US: Conversation ID + zh_Hans: 会话 ID + description: + en_US: Conversation ID + zh_Hans: 会话 ID + required: false + +outputs: + - name: answer + type: string + label: + en_US: Answer + zh_Hans: 答案 + description: + en_US: Bot response + zh_Hans: 机器人回复 + - name: conversation_id + type: string + label: + en_US: Conversation ID + zh_Hans: 会话 ID + description: + en_US: Conversation ID + zh_Hans: 会话 ID + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether the call was successful + zh_Hans: 调用是否成功 + +config: + - name: api-key + label: + en_US: API Key + zh_Hans: API 密钥 + description: + en_US: Coze API key + zh_Hans: Coze API 密钥 + type: string + required: true + default: '' + + - name: bot-id + label: + en_US: Bot ID + zh_Hans: 机器人 ID + description: + en_US: ID of the bot to run + zh_Hans: 要运行的机器人 ID + type: string + required: true + default: '' + + - name: api-base + label: + en_US: API Base URL + zh_Hans: API 基础 URL + description: + en_US: Base URL for Coze API + zh_Hans: Coze API 基础 URL + type: string + required: true + default: 'https://api.coze.cn' + options: + - name: 'https://api.coze.cn' + label: + en_US: Coze China + zh_Hans: Coze 中国版 + - name: 'https://api.coze.com' + label: + en_US: Coze Global + zh_Hans: Coze 全球版 + + - name: auto-save-history + label: + en_US: Auto Save History + zh_Hans: 自动保存历史 + description: + en_US: Whether to automatically save conversation history + zh_Hans: 是否自动保存对话历史 + type: boolean + required: false + default: true + + - name: timeout + label: + en_US: Request Timeout (seconds) + zh_Hans: 请求超时（秒） + description: + en_US: Timeout in seconds for API requests + zh_Hans: API 请求超时时间（秒） + type: number + required: false + default: 120 diff --git a/src/langbot/templates/metadata/nodes/cron_trigger.yaml b/src/langbot/templates/metadata/nodes/cron_trigger.yaml new file mode 100644 index 000000000..886921125 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/cron_trigger.yaml @@ -0,0 +1,80 @@ +# Cron Trigger Node Configuration +# This file defines the metadata for the Cron Trigger workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/cron_trigger.py + +name: cron_trigger +category: trigger +icon: "⏰" +color: '#22c55e' +description: 'workflows.nodes.cronTriggerDescription' + +inputs: [] + +outputs: + - name: trigger_time + type: datetime + label: + en_US: Trigger Time + zh_Hans: 触发时间 + description: + en_US: The time when the trigger fired + zh_Hans: 触发器触发的时间 + - name: context + type: object + label: + en_US: Context + zh_Hans: 上下文 + description: + en_US: Trigger context information + zh_Hans: 触发上下文信息 + +config: + - name: cron_expression + type: string + required: true + default: "0 9 * * *" + label: + en_US: Cron Expression + zh_Hans: Cron 表达式 + description: + en_US: Standard cron expression + zh_Hans: 标准 Cron 表达式 + + - name: timezone + type: select + required: true + default: "Asia/Shanghai" + options: + - UTC + - Asia/Shanghai + - Asia/Tokyo + - America/New_York + - America/Los_Angeles + - Europe/London + - Europe/Berlin + label: + en_US: Timezone + zh_Hans: 时区 + description: + en_US: Timezone for the cron schedule + zh_Hans: Cron 计划的时区 + + - name: description + type: string + default: "" + label: + en_US: Description + zh_Hans: 描述 + description: + en_US: Description of this scheduled trigger + zh_Hans: 此定时触发器的描述 + + - name: enabled + type: boolean + default: true + label: + en_US: Enabled + zh_Hans: 启用 + description: + en_US: Whether this scheduled trigger is active + zh_Hans: 此定时触发器是否激活 diff --git a/src/langbot/templates/metadata/nodes/data_transform.yaml b/src/langbot/templates/metadata/nodes/data_transform.yaml new file mode 100644 index 000000000..b82bf9d3e --- /dev/null +++ b/src/langbot/templates/metadata/nodes/data_transform.yaml @@ -0,0 +1,67 @@ +# Data Transform Node Configuration +# This file defines the metadata for the Data Transform workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/data_transform.py + +name: data_transform +category: process +icon: "🔄" +color: '#3b82f6' +description: 'workflows.nodes.dataTransformDescription' + +inputs: + - name: data + type: any + required: true + label: + en_US: Data + zh_Hans: 数据 + description: + en_US: Input data + zh_Hans: 输入数据 + +outputs: + - name: result + type: any + label: + en_US: Result + zh_Hans: 结果 + description: + en_US: Transform result + zh_Hans: 转换结果 + +config: + - name: transform_type + type: select + required: true + default: template + options: + - template + - jsonpath + - jmespath + - expression + label: + en_US: Transform Type + zh_Hans: 转换类型 + description: + en_US: Type of transformation to perform + zh_Hans: 要执行的转换类型 + + - name: template + type: textarea + default: "" + label: + en_US: Template + zh_Hans: 模板 + description: + en_US: Template with {{variable}} syntax + zh_Hans: 支持 {{variable}} 语法的模板 + + - name: expression + type: string + default: "" + label: + en_US: Expression + zh_Hans: 表达式 + description: + en_US: JSONPath/JMESPath expression + zh_Hans: JSONPath/JMESPath 表达式 diff --git a/src/langbot/templates/metadata/nodes/database_query.yaml b/src/langbot/templates/metadata/nodes/database_query.yaml new file mode 100644 index 000000000..1c51b8d62 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/database_query.yaml @@ -0,0 +1,110 @@ +# Database Query Node Configuration +# This file defines the metadata for the Database Query workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/database_query.py + +name: database_query +category: integration +icon: "🗄️" +color: '#ec4899' +description: 'workflows.nodes.databaseQueryDescription' + +inputs: + - name: parameters + type: object + required: false + label: + en_US: Parameters + zh_Hans: 参数 + description: + en_US: Query parameters + zh_Hans: 查询参数 + +outputs: + - name: results + type: array + label: + en_US: Results + zh_Hans: 结果 + description: + en_US: Query results + zh_Hans: 查询结果 + - name: row_count + type: number + label: + en_US: Row Count + zh_Hans: 行数 + description: + en_US: Number of rows affected/returned + zh_Hans: 影响/返回的行数 + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether query was successful + zh_Hans: 查询是否成功 + +config: + - name: connection_type + type: select + required: true + default: postgresql + options: + - postgresql + - mysql + - sqlite + label: + en_US: Database Type + zh_Hans: 数据库类型 + description: + en_US: Type of database to connect to + zh_Hans: 要连接的数据库类型 + + - name: connection_string + type: string + required: true + default: "" + label: + en_US: Connection String + zh_Hans: 连接字符串 + description: + en_US: Database connection string + zh_Hans: 数据库连接字符串 + + - name: query + type: textarea + required: true + default: "" + label: + en_US: SQL Query + zh_Hans: SQL 查询 + description: + en_US: SQL query to execute + zh_Hans: 要执行的 SQL 查询 + + - name: query_type + type: select + required: true + default: select + options: + - select + - insert + - update + - delete + label: + en_US: Query Type + zh_Hans: 查询类型 + description: + en_US: Type of query operation + zh_Hans: 查询操作的类型 + + - name: timeout + type: integer + default: 30 + label: + en_US: Timeout (seconds) + zh_Hans: 超时时间（秒） + description: + en_US: Query timeout + zh_Hans: 查询超时时间 diff --git a/src/langbot/templates/metadata/nodes/dify_knowledge_query.yaml b/src/langbot/templates/metadata/nodes/dify_knowledge_query.yaml new file mode 100644 index 000000000..94dc0967a --- /dev/null +++ b/src/langbot/templates/metadata/nodes/dify_knowledge_query.yaml @@ -0,0 +1,74 @@ +# Dify Knowledge Base Query Node Configuration +name: dify_knowledge_query +label: + en_US: Dify Knowledge Base + zh_Hans: Dify 知识库 +description: + en_US: Query Dify knowledge base + zh_Hans: 查询 Dify 知识库 +category: integration +icon: BookOpen +color: '#3b82f6' + +inputs: + - name: query + type: string + label: + en_US: Query + zh_Hans: 查询 + description: + en_US: Query content + zh_Hans: 查询内容 + required: true + +outputs: + - name: results + type: array + label: + en_US: Results + zh_Hans: 结果 + description: + en_US: Search results + zh_Hans: 检索结果 + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether the call was successful + zh_Hans: 调用是否成功 + +config: + - name: base-url + label: + en_US: Base URL + zh_Hans: 基础 URL + description: + en_US: Dify service base URL + zh_Hans: Dify 服务基础 URL + type: string + required: true + default: 'https://api.dify.ai/v1' + + - name: api-key + label: + en_US: API Key + zh_Hans: API 密钥 + description: + en_US: Dify API key + zh_Hans: Dify API 密钥 + type: string + required: true + default: '' + + - name: dataset_id + label: + en_US: Dataset ID + zh_Hans: 知识库 ID + description: + en_US: Knowledge base ID + zh_Hans: 知识库 ID + type: string + required: true + default: '' diff --git a/src/langbot/templates/metadata/nodes/dify_workflow.yaml b/src/langbot/templates/metadata/nodes/dify_workflow.yaml new file mode 100644 index 000000000..1786cee2b --- /dev/null +++ b/src/langbot/templates/metadata/nodes/dify_workflow.yaml @@ -0,0 +1,120 @@ +# Dify Workflow Node Configuration +name: dify_workflow +label: + en_US: Dify Workflow + zh_Hans: Dify 工作流 +description: + en_US: Call Dify service API + zh_Hans: 调用 Dify 服务 API +category: integration +icon: Bot +color: '#3b82f6' + +inputs: + - name: query + type: string + label: + en_US: Query + zh_Hans: 查询 + description: + en_US: User input/query + zh_Hans: 用户输入/查询 + required: true + - name: conversation_id + type: string + label: + en_US: Conversation ID + zh_Hans: 会话 ID + description: + en_US: Conversation ID for multi-turn dialogue + zh_Hans: 多轮对话的会话 ID + required: false + +outputs: + - name: answer + type: string + label: + en_US: Answer + zh_Hans: 答案 + description: + en_US: Answer from Dify + zh_Hans: Dify 返回的答案 + - name: conversation_id + type: string + label: + en_US: Conversation ID + zh_Hans: 会话 ID + description: + en_US: Conversation ID + zh_Hans: 会话 ID + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether the call was successful + zh_Hans: 调用是否成功 + +config: + - name: base-url + label: + en_US: Base URL + zh_Hans: 基础 URL + description: + en_US: Dify service base URL + zh_Hans: Dify 服务基础 URL + type: string + required: true + default: 'https://api.dify.ai/v1' + options: + - name: 'https://api.dify.ai/v1' + label: + en_US: Dify Cloud + zh_Hans: Dify 云服务 + + - name: base-prompt + label: + en_US: Base PROMPT + zh_Hans: 基础提示词 + description: + en_US: When Dify receives a message with empty input (only images), it will pass this default prompt into it. + zh_Hans: 当 Dify 接收到输入文字为空（仅图片）的消息时，传入该默认提示词 + type: string + required: true + default: "When the file content is readable, please read the content of this file. When the file is an image, describe the content of this image." + + - name: app-type + label: + en_US: App Type + zh_Hans: 应用类型 + description: + en_US: Application type + zh_Hans: 应用类型 + type: select + required: true + default: chat + options: + - name: chat + label: + en_US: Chat (including Chatflow) + zh_Hans: 聊天（包括Chatflow） + - name: agent + label: + en_US: Agent + zh_Hans: Agent + - name: workflow + label: + en_US: Workflow + zh_Hans: 工作流 + + - name: api-key + label: + en_US: API Key + zh_Hans: API 密钥 + description: + en_US: Dify API key + zh_Hans: Dify API 密钥 + type: string + required: true + default: '' diff --git a/src/langbot/templates/metadata/nodes/end.yaml b/src/langbot/templates/metadata/nodes/end.yaml new file mode 100644 index 000000000..eba855463 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/end.yaml @@ -0,0 +1,48 @@ +# End Node Configuration +# This file defines the metadata for the End workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/end.py + +name: end +category: control +icon: "🛑" +color: '#8b5cf6' +description: 'workflows.nodes.endDescription' + +inputs: + - name: input + type: any + required: false + label: + en_US: Input + zh_Hans: 输入 + description: + en_US: Final output data + zh_Hans: 最终输出数据 + +outputs: [] + +config: + - name: status + type: select + required: true + default: success + options: + - success + - failed + - cancelled + label: + en_US: End Status + zh_Hans: 结束状态 + description: + en_US: Status to report when workflow ends + zh_Hans: 工作流结束时报告的状态 + + - name: message + type: string + default: "" + label: + en_US: Message + zh_Hans: 消息 + description: + en_US: Optional message to include with the end status + zh_Hans: 与结束状态一起包含的可选消息 diff --git a/src/langbot/templates/metadata/nodes/event_trigger.yaml b/src/langbot/templates/metadata/nodes/event_trigger.yaml new file mode 100644 index 000000000..b50db89c5 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/event_trigger.yaml @@ -0,0 +1,84 @@ +# Event Trigger Node Configuration +# This file defines the metadata for the Event Trigger workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/event_trigger.py + +name: event_trigger +category: trigger +icon: "📡" +color: '#22c55e' +description: 'workflows.nodes.eventTriggerDescription' + +inputs: [] + +outputs: + - name: event + type: object + label: + en_US: Event + zh_Hans: 事件 + description: + en_US: The event data + zh_Hans: 事件数据 + - name: event_type + type: string + label: + en_US: Event Type + zh_Hans: 事件类型 + description: + en_US: Type of the event + zh_Hans: 事件类型 + - name: context + type: object + label: + en_US: Context + zh_Hans: 上下文 + description: + en_US: Event context information + zh_Hans: 事件上下文信息 + +config: + - name: event_type + type: select + required: true + default: member_join + options: + - member_join + - member_leave + - message_recall + - group_created + - group_disbanded + - bot_added + - bot_removed + - friend_request + - group_request + label: + en_US: Event Type + zh_Hans: 事件类型 + description: + en_US: The type of system event to listen for + zh_Hans: 要监听的系统事件类型 + + - name: source_filter + type: select + required: true + default: all + options: + - all + - group + - private + label: + en_US: Source Filter + zh_Hans: 来源筛选 + description: + en_US: Filter events by source + zh_Hans: 按来源筛选事件 + + - name: platforms + type: json + default: [] + label: + en_US: Platform Filter + zh_Hans: 平台筛选 + description: + en_US: Only trigger for events from these platforms + zh_Hans: 仅对来自这些平台的事件触发 diff --git a/src/langbot/templates/metadata/nodes/http_request.yaml b/src/langbot/templates/metadata/nodes/http_request.yaml new file mode 100644 index 000000000..96cdec153 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/http_request.yaml @@ -0,0 +1,157 @@ +# HTTP Request Node Configuration +# This file defines the metadata for the HTTP Request workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/http_request.py + +name: http_request +category: action +icon: "🌍" +color: '#10b981' +description: 'workflows.nodes.httpRequestDescription' + +inputs: + - name: body + type: any + required: false + label: + en_US: Body + zh_Hans: 请求体 + description: + en_US: Request body data + zh_Hans: 请求体数据 + - name: variables + type: object + required: false + label: + en_US: Variables + zh_Hans: 变量 + description: + en_US: Variables for URL/header templates + zh_Hans: URL/请求头模板的变量 + +outputs: + - name: response + type: any + label: + en_US: Response + zh_Hans: 响应 + description: + en_US: Response body + zh_Hans: 响应体 + - name: status_code + type: number + label: + en_US: Status Code + zh_Hans: 状态码 + description: + en_US: HTTP status code + zh_Hans: HTTP 状态码 + - name: headers + type: object + label: + en_US: Headers + zh_Hans: 响应头 + description: + en_US: Response headers + zh_Hans: 响应头 + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether request was successful + zh_Hans: 请求是否成功 + +config: + - name: method + type: select + required: true + default: GET + options: + - GET + - POST + - PUT + - PATCH + - DELETE + label: + en_US: Method + zh_Hans: 方法 + description: + en_US: HTTP method + zh_Hans: HTTP 方法 + + - name: url + type: string + required: true + default: "" + label: + en_US: URL + zh_Hans: URL + description: + en_US: Request URL + zh_Hans: 请求 URL + + - name: headers + type: json + default: "{}" + label: + en_US: Headers + zh_Hans: 请求头 + description: + en_US: Request headers as JSON + zh_Hans: 请求头（JSON 格式） + + - name: body_type + type: select + default: json + options: + - none + - json + - form + - raw + label: + en_US: Body Type + zh_Hans: 请求体类型 + description: + en_US: Type of request body + zh_Hans: 请求体的类型 + + - name: body_template + type: textarea + default: "" + label: + en_US: Body Template + zh_Hans: 请求体模板 + description: + en_US: Request body template + zh_Hans: 请求体模板 + + - name: timeout + type: integer + default: 30 + label: + en_US: Timeout (seconds) + zh_Hans: 超时时间（秒） + description: + en_US: Request timeout in seconds + zh_Hans: 请求超时时间（秒） + + - name: retry_count + type: integer + default: 0 + label: + en_US: Retry Count + zh_Hans: 重试次数 + description: + en_US: Number of retries on failure + zh_Hans: 失败时的重试次数 + + - name: ignore_ssl + type: boolean + default: false + label: + en_US: Ignore SSL Errors + zh_Hans: 忽略 SSL 错误 + description: + en_US: Ignore SSL certificate verification errors + zh_Hans: 忽略 SSL 证书验证错误 diff --git a/src/langbot/templates/metadata/nodes/iterator.yaml b/src/langbot/templates/metadata/nodes/iterator.yaml new file mode 100644 index 000000000..635367af7 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/iterator.yaml @@ -0,0 +1,75 @@ +# Iterator Node Configuration +name: iterator +category: control +icon: "🔄" +color: '#f59e0b' +description: 'workflows.nodes.iteratorDescription' + +inputs: + - name: array + type: array + label: + en_US: Array + zh_Hans: 数组 + description: + en_US: Array to iterate + zh_Hans: 要迭代的数组 + +outputs: + - name: item + type: any + label: + en_US: Item + zh_Hans: 项目 + description: + en_US: Current item + zh_Hans: 当前项目 + - name: index + type: integer + label: + en_US: Index + zh_Hans: 索引 + description: + en_US: Current index + zh_Hans: 当前索引 + - name: is_first + type: boolean + label: + en_US: Is First + zh_Hans: 是否第一个 + description: + en_US: Whether this is the first item + zh_Hans: 是否是第一个项目 + - name: is_last + type: boolean + label: + en_US: Is Last + zh_Hans: 是否最后一个 + description: + en_US: Whether this is the last item + zh_Hans: 是否是最后一个项目 + +config: + - name: parallel + type: boolean + default: false + label: + en_US: Parallel + zh_Hans: 并行 + description: + en_US: Whether to process in parallel + zh_Hans: 是否并行处理 + + - name: max_concurrency + type: integer + default: 5 + min_value: 1 + max_value: 100 + label: + en_US: Max Concurrency + zh_Hans: 最大并发数 + description: + en_US: Maximum concurrent tasks + zh_Hans: 最大并发任务数 + show_if: + parallel: true diff --git a/src/langbot/templates/metadata/nodes/knowledge_retrieval.yaml b/src/langbot/templates/metadata/nodes/knowledge_retrieval.yaml new file mode 100644 index 000000000..645ca183f --- /dev/null +++ b/src/langbot/templates/metadata/nodes/knowledge_retrieval.yaml @@ -0,0 +1,111 @@ +# Knowledge Retrieval Node Configuration +# This file defines the metadata for the Knowledge Retrieval workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/knowledge_retrieval.py + +name: knowledge_retrieval +category: process +icon: "📚" +color: '#8b5cf6' +description: 'workflows.nodes.knowledgeRetrievalDescription' + +inputs: + - name: query + type: string + label: + en_US: Query + zh_Hans: 查询 + description: + en_US: Query text to search for + zh_Hans: 要搜索的查询文本 + +outputs: + - name: results + type: array + label: + en_US: Results + zh_Hans: 结果 + description: + en_US: Retrieved documents/chunks + zh_Hans: 检索到的文档/块 + - name: context + type: string + label: + en_US: Context + zh_Hans: 上下文 + description: + en_US: Concatenated text from all results + zh_Hans: 所有结果的连接文本 + - name: scores + type: array + label: + en_US: Scores + zh_Hans: 分数 + description: + en_US: Similarity scores for each result + zh_Hans: 每个结果的相似度分数 + +config: + - name: knowledge_bases + type: json + required: true + default: [] + label: + en_US: Knowledge Bases + zh_Hans: 知识库 + description: + en_US: Select knowledge bases to search + zh_Hans: 选择要搜索的知识库 + + - name: top_k + type: integer + default: 5 + label: + en_US: Top K Results + zh_Hans: 返回数量 (Top K) + description: + en_US: Number of top results to retrieve + zh_Hans: 返回的最相关结果数量 + + - name: similarity_threshold + type: number + default: 0.5 + label: + en_US: Similarity Threshold + zh_Hans: 相似度阈值 + description: + en_US: Minimum similarity score for results + zh_Hans: 结果的最小相似度分数 + + - name: retrieval_mode + type: select + default: vector + options: + - vector + - hybrid + - keyword + label: + en_US: Retrieval Mode + zh_Hans: 检索模式 + description: + en_US: Method used for retrieving documents + zh_Hans: 用于检索文档的方法 + + - name: rerank_enabled + type: boolean + default: false + label: + en_US: Enable Reranking + zh_Hans: 启用重排序 + description: + en_US: Use a reranking model to improve result relevance + zh_Hans: 使用重排序模型提高结果相关性 + + - name: rerank_model + type: string + default: "" + label: + en_US: Rerank Model + zh_Hans: 重排序模型 + description: + en_US: Model to use for reranking results + zh_Hans: 用于结果重排序的模型 diff --git a/src/langbot/templates/metadata/nodes/langflow_flow.yaml b/src/langbot/templates/metadata/nodes/langflow_flow.yaml new file mode 100644 index 000000000..f29222b8f --- /dev/null +++ b/src/langbot/templates/metadata/nodes/langflow_flow.yaml @@ -0,0 +1,107 @@ +# Langflow Flow Node Configuration +name: langflow_flow +label: + en_US: Langflow Flow + zh_Hans: Langflow 流程 +description: + en_US: Call Langflow API + zh_Hans: 调用 Langflow API +category: integration +icon: GitBranch +color: '#3b82f6' + +inputs: + - name: input_value + type: string + label: + en_US: Input Value + zh_Hans: 输入内容 + description: + en_US: Input content + zh_Hans: 输入内容 + required: true + +outputs: + - name: result + type: any + label: + en_US: Result + zh_Hans: 结果 + description: + en_US: Flow execution result + zh_Hans: 流程执行结果 + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether the call was successful + zh_Hans: 调用是否成功 + +config: + - name: base-url + label: + en_US: Base URL + zh_Hans: 基础 URL + description: + en_US: Langflow server base URL + zh_Hans: Langflow 服务器基础 URL + type: string + required: true + default: 'http://localhost:7860' + + - name: api-key + label: + en_US: API Key + zh_Hans: API 密钥 + description: + en_US: Langflow API key + zh_Hans: Langflow API 密钥 + type: string + required: true + default: '' + + - name: flow-id + label: + en_US: Flow ID + zh_Hans: 流程 ID + description: + en_US: Flow ID to run + zh_Hans: 要运行的流程 ID + type: string + required: true + default: '' + + - name: input-type + label: + en_US: Input Type + zh_Hans: 输入类型 + description: + en_US: Input type for the flow + zh_Hans: 流程的输入类型 + type: string + required: false + default: chat + + - name: output-type + label: + en_US: Output Type + zh_Hans: 输出类型 + description: + en_US: Output type for the flow + zh_Hans: 流程的输出类型 + type: string + required: false + default: chat + + - name: tweaks + label: + en_US: Tweaks + zh_Hans: 调整参数 + description: + en_US: Optional tweaks to apply to the flow + zh_Hans: 可选的流程调整参数 + type: json + required: false + default: '{}' diff --git a/src/langbot/templates/metadata/nodes/llm_call.yaml b/src/langbot/templates/metadata/nodes/llm_call.yaml new file mode 100644 index 000000000..bc5752aca --- /dev/null +++ b/src/langbot/templates/metadata/nodes/llm_call.yaml @@ -0,0 +1,150 @@ +# LLM Call Node Configuration +# This file defines the metadata for the LLM Call workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/llm_call.py + +name: llm_call +category: process +icon: "🤖" +color: '#8b5cf6' +description: 'workflows.nodes.llmCallDescription' + +inputs: + - name: input + type: string + required: false + label: + en_US: Input + zh_Hans: 输入 + description: + en_US: Input text to send to the model + zh_Hans: 发送到模型的输入文本 + - name: context + type: object + required: false + label: + en_US: Context + zh_Hans: 上下文 + description: + en_US: Additional context data + zh_Hans: 额外的上下文数据 + +outputs: + - name: response + type: string + label: + en_US: Response + zh_Hans: 响应 + description: + en_US: Model response text + zh_Hans: 模型响应文本 + - name: usage + type: object + label: + en_US: Usage + zh_Hans: 使用量 + description: + en_US: Token usage information + zh_Hans: Token 使用量信息 + - name: parsed + type: object + label: + en_US: Parsed + zh_Hans: 解析结果 + description: + en_US: Parsed output (if output format is JSON) + zh_Hans: 解析后的输出（如果输出格式为 JSON） + +config: + - name: model + type: llm-model-selector + required: true + label: + en_US: Model + zh_Hans: 模型 + description: + en_US: Select the LLM model to use + zh_Hans: 选择要使用的 LLM 模型 + + - name: system_prompt + type: textarea + label: + en_US: System Prompt + zh_Hans: 系统提示词 + description: + en_US: System prompt to set the model behavior + zh_Hans: 设置模型行为的系统提示词 + + - name: user_prompt_template + type: textarea + required: true + default: "{{input}}" + label: + en_US: User Prompt Template + zh_Hans: 用户提示词模板 + description: + en_US: User prompt template with variable placeholders + zh_Hans: 带有变量占位符的用户提示词模板 + + - name: temperature + type: number + default: 0.7 + label: + en_US: Temperature + zh_Hans: 温度 + description: + en_US: Controls randomness in responses + zh_Hans: 控制响应的随机性 + + - name: max_tokens + type: integer + default: 0 + label: + en_US: Max Tokens + zh_Hans: 最大令牌数 + description: + en_US: Maximum number of tokens to generate + zh_Hans: 生成的最大令牌数 + + - name: output_format + type: select + default: text + options: + - text + - json + - markdown + label: + en_US: Output Format + zh_Hans: 输出格式 + description: + en_US: Expected format of the model output + zh_Hans: 模型输出的预期格式 + + - name: json_schema + type: textarea + default: "" + label: + en_US: JSON Schema + zh_Hans: JSON Schema + description: + en_US: JSON schema for structured output validation + zh_Hans: 用于结构化输出验证的 JSON Schema + + - name: enable_tools + type: boolean + default: false + label: + en_US: Enable Tools + zh_Hans: 启用工具 + description: + en_US: Allow the model to use function calling tools + zh_Hans: 允许模型使用函数调用工具 + + - name: tools + type: json + default: [] + label: + en_US: Tools + zh_Hans: 工具 + description: + en_US: Select tools that the model can use + zh_Hans: 选择模型可以使用的工具 diff --git a/src/langbot/templates/metadata/nodes/loop.yaml b/src/langbot/templates/metadata/nodes/loop.yaml new file mode 100644 index 000000000..c3d6e97ff --- /dev/null +++ b/src/langbot/templates/metadata/nodes/loop.yaml @@ -0,0 +1,112 @@ +# Loop Node Configuration +# This file defines the metadata for the Loop workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/loop.py + +name: loop +category: control +icon: "🔁" +color: '#8b5cf6' +description: 'workflows.nodes.loopDescription' + +inputs: + - name: items + type: array + required: false + label: + en_US: Items + zh_Hans: 项目 + description: + en_US: Items to iterate over + zh_Hans: 要遍历的项目 + +outputs: + - name: item + type: any + label: + en_US: Item + zh_Hans: 当前项 + description: + en_US: Current item in iteration + zh_Hans: 迭代中的当前项 + - name: index + type: number + label: + en_US: Index + zh_Hans: 索引 + description: + en_US: Current iteration index + zh_Hans: 当前迭代索引 + - name: completed + type: any + label: + en_US: Completed + zh_Hans: 完成 + description: + en_US: Output after loop completes + zh_Hans: 循环完成后的输出 + +config: + - name: loop_type + type: select + required: true + default: foreach + options: + - foreach + - while + - count + label: + en_US: Loop Type + zh_Hans: 循环类型 + description: + en_US: Type of loop to execute + zh_Hans: 要执行的循环类型 + + - name: max_iterations + type: integer + default: 100 + label: + en_US: Max Iterations + zh_Hans: 最大迭代次数 + description: + en_US: Maximum number of iterations + zh_Hans: 最大迭代次数 + + - name: count + type: integer + default: 10 + label: + en_US: Count + zh_Hans: 计数 + description: + en_US: Number of times to iterate + zh_Hans: 迭代次数 + + - name: while_condition + type: string + default: "" + label: + en_US: While Condition + zh_Hans: While 条件 + description: + en_US: Condition expression to continue looping + zh_Hans: 继续循环的条件表达式 + + - name: parallel + type: boolean + default: false + label: + en_US: Parallel Execution + zh_Hans: 并行执行 + description: + en_US: Execute iterations in parallel + zh_Hans: 并行执行迭代 + + - name: parallel_limit + type: integer + default: 5 + label: + en_US: Parallel Limit + zh_Hans: 并行限制 + description: + en_US: Maximum number of parallel executions + zh_Hans: 最大并行执行数 diff --git a/src/langbot/templates/metadata/nodes/mcp_tool.yaml b/src/langbot/templates/metadata/nodes/mcp_tool.yaml new file mode 100644 index 000000000..bbc290657 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/mcp_tool.yaml @@ -0,0 +1,83 @@ +# Mcp Tool Node Configuration +# This file defines the metadata for the Mcp Tool workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/mcp_tool.py + +name: mcp_tool +category: integration +icon: 🔧 +color: '#ec4899' +description: workflows.nodes.mcpToolDescription +inputs: +- name: arguments + type: object + required: false + label: + en_US: Arguments + zh_Hans: 参数 + description: + en_US: Tool arguments + zh_Hans: 工具参数 +outputs: +- name: result + type: any + label: + en_US: Result + zh_Hans: 结果 + description: + en_US: Tool execution result + zh_Hans: 工具执行结果 +- name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether tool call was successful + zh_Hans: 工具调用是否成功 +- name: error + type: string + label: + en_US: Error + zh_Hans: 错误 + description: + en_US: Error message if failed + zh_Hans: 失败时的错误信息 +config: +- name: server_name + type: string + required: true + default: '' + label: + en_US: MCP Server + zh_Hans: MCP 服务器 + description: + en_US: Name of the MCP server + zh_Hans: MCP 服务器名称 +- name: tool_name + type: string + required: true + default: '' + label: + en_US: Tool Name + zh_Hans: 工具名称 + description: + en_US: Name of the MCP tool to invoke + zh_Hans: 要调用的 MCP 工具名称 +- name: arguments_template + type: textarea + default: '' + label: + en_US: Arguments Template + zh_Hans: 参数模板 + description: + en_US: Tool arguments as JSON + zh_Hans: 工具参数（JSON 格式） +- name: timeout + type: integer + default: 30 + label: + en_US: Timeout (seconds) + zh_Hans: 超时时间（秒） + description: + en_US: Maximum execution time + zh_Hans: 最大执行时间 diff --git a/src/langbot/templates/metadata/nodes/memory_store.yaml b/src/langbot/templates/metadata/nodes/memory_store.yaml new file mode 100644 index 000000000..c968221f3 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/memory_store.yaml @@ -0,0 +1,94 @@ +# Memory Store Node Configuration +# This file defines the metadata for the Memory Store workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/memory_store.py + +name: memory_store +category: integration +icon: "💾" +color: '#ec4899' +description: 'workflows.nodes.memoryStoreDescription' + +inputs: + - name: value + type: any + required: false + label: + en_US: Value + zh_Hans: 值 + description: + en_US: Value to store + zh_Hans: 要存储的值 + +outputs: + - name: result + type: any + label: + en_US: Result + zh_Hans: 结果 + description: + en_US: Retrieved or stored value + zh_Hans: 检索到的或存储的值 + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether operation was successful + zh_Hans: 操作是否成功 + +config: + - name: operation + type: select + required: true + default: get + options: + - get + - set + - delete + - append + - list + label: + en_US: Operation + zh_Hans: 操作 + description: + en_US: Memory operation to perform + zh_Hans: 要执行的记忆操作 + + - name: key + type: string + required: true + default: "" + label: + en_US: Key + zh_Hans: 键 + description: + en_US: Memory key + zh_Hans: 记忆键 + + - name: scope + type: select + required: true + default: execution + options: + - execution + - workflow + - session + - user + - global + label: + en_US: Scope + zh_Hans: 作用域 + description: + en_US: Scope of the memory storage + zh_Hans: 记忆存储的作用域 + + - name: ttl + type: integer + default: 0 + label: + en_US: TTL (seconds) + zh_Hans: TTL（秒） + description: + en_US: Time to live (0 = no expiry) + zh_Hans: 过期时间（0 = 不过期） diff --git a/src/langbot/templates/metadata/nodes/merge.yaml b/src/langbot/templates/metadata/nodes/merge.yaml new file mode 100644 index 000000000..cef1b0ce7 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/merge.yaml @@ -0,0 +1,72 @@ +# Merge Node Configuration +name: merge +category: control +icon: "🔗" +color: '#f59e0b' +description: 'workflows.nodes.mergeDescription' + +inputs: + - name: input_1 + type: any + label: + en_US: Input 1 + zh_Hans: 输入 1 + description: + en_US: First input + zh_Hans: 第一个输入 + - name: input_2 + type: any + label: + en_US: Input 2 + zh_Hans: 输入 2 + description: + en_US: Second input + zh_Hans: 第二个输入 + - name: input_3 + type: any + label: + en_US: Input 3 + zh_Hans: 输入 3 + description: + en_US: Third input + zh_Hans: 第三个输入 + required: false + - name: input_4 + type: any + label: + en_US: Input 4 + zh_Hans: 输入 4 + description: + en_US: Fourth input + zh_Hans: 第四个输入 + required: false + +outputs: + - name: merged + type: object + label: + en_US: Merged + zh_Hans: 合并结果 + description: + en_US: Merged result + zh_Hans: 合并后的结果 + - name: array + type: array + label: + en_US: Array + zh_Hans: 数组 + description: + en_US: All inputs as array + zh_Hans: 所有输入作为数组 + +config: + - name: merge_strategy + type: select + options: ["object", "array", "first_non_null", "concat"] + default: "object" + label: + en_US: Merge Strategy + zh_Hans: 合并策略 + description: + en_US: Strategy for merging inputs + zh_Hans: 合并输入的策略 diff --git a/src/langbot/templates/metadata/nodes/message_trigger.yaml b/src/langbot/templates/metadata/nodes/message_trigger.yaml new file mode 100644 index 000000000..a2c84c83c --- /dev/null +++ b/src/langbot/templates/metadata/nodes/message_trigger.yaml @@ -0,0 +1,100 @@ +# Message Trigger Node Configuration +# This file defines the metadata for the Message Trigger workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/message_trigger.py + +name: message_trigger +category: trigger +icon: "💬" +color: '#22c55e' +description: 'workflows.nodes.messageTriggerDescription' + +inputs: [] + +outputs: + - name: message + type: object + label: + en_US: Message + zh_Hans: 消息 + description: + en_US: The received message object + zh_Hans: 接收到的消息对象 + - name: sender + type: object + label: + en_US: Sender + zh_Hans: 发送者 + description: + en_US: Message sender information + zh_Hans: 消息发送者信息 + - name: context + type: object + label: + en_US: Context + zh_Hans: 上下文 + description: + en_US: Message context information + zh_Hans: 消息上下文信息 + +config: + - name: match_type + type: select + required: true + default: all + options: + - all + - prefix + - regex + - contains + - exact + label: + en_US: Match Type + zh_Hans: 匹配类型 + description: + en_US: How to match the incoming message + zh_Hans: 如何匹配收到的消息 + + - name: match_pattern + type: string + default: "" + label: + en_US: Match Pattern + zh_Hans: 匹配模式 + description: + en_US: The pattern to match against the message + zh_Hans: 用于匹配消息的模式 + + - name: message_source + type: select + required: true + default: all + options: + - all + - group + - private + label: + en_US: Message Source + zh_Hans: 消息来源 + description: + en_US: Filter messages by source type + zh_Hans: 按来源类型筛选消息 + + - name: platforms + type: json + default: [] + label: + en_US: Platform Filter + zh_Hans: 平台筛选 + description: + en_US: Only trigger for messages from these platforms + zh_Hans: 仅对来自这些平台的消息触发 + + - name: ignore_bot_messages + type: boolean + default: true + label: + en_US: Ignore Bot Messages + zh_Hans: 忽略机器人消息 + description: + en_US: Do not trigger for messages sent by bots + zh_Hans: 不对机器人发送的消息触发 diff --git a/src/langbot/templates/metadata/nodes/n8n_workflow.yaml b/src/langbot/templates/metadata/nodes/n8n_workflow.yaml new file mode 100644 index 000000000..717fe8284 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/n8n_workflow.yaml @@ -0,0 +1,192 @@ +# n8n Workflow Node Configuration +name: n8n_workflow +label: + en_US: n8n Workflow + zh_Hans: n8n 工作流 +description: + en_US: Call n8n workflow API + zh_Hans: 调用 n8n 工作流 API +category: integration +icon: Workflow +color: '#3b82f6' + +inputs: + - name: payload + type: object + label: + en_US: Payload + zh_Hans: 输入数据 + description: + en_US: Workflow input data + zh_Hans: 工作流输入数据 + required: false + +outputs: + - name: result + type: any + label: + en_US: Result + zh_Hans: 结果 + description: + en_US: Workflow execution result + zh_Hans: 工作流执行结果 + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether the call was successful + zh_Hans: 调用是否成功 + +config: + - name: webhook-url + label: + en_US: Webhook URL + zh_Hans: Webhook URL + description: + en_US: n8n workflow webhook URL + zh_Hans: n8n 工作流 Webhook URL + type: string + required: true + default: '' + + - name: auth-type + label: + en_US: Authentication Type + zh_Hans: 认证类型 + description: + en_US: Authentication type for webhook call + zh_Hans: Webhook 调用的认证类型 + type: select + required: true + default: none + options: + - name: none + label: + en_US: None + zh_Hans: 无认证 + - name: basic + label: + en_US: Basic Auth + zh_Hans: 基本认证 + - name: jwt + label: + en_US: JWT + zh_Hans: JWT认证 + - name: header + label: + en_US: Header Auth + zh_Hans: 请求头认证 + + - name: basic-username + label: + en_US: Username + zh_Hans: 用户名 + description: + en_US: Username for Basic Auth + zh_Hans: 基本认证的用户名 + type: string + required: false + default: '' + show_if: + field: auth-type + operator: eq + value: basic + + - name: basic-password + label: + en_US: Password + zh_Hans: 密码 + description: + en_US: Password for Basic Auth + zh_Hans: 基本认证的密码 + type: string + required: false + default: '' + show_if: + field: auth-type + operator: eq + value: basic + + - name: jwt-secret + label: + en_US: Secret + zh_Hans: 密钥 + description: + en_US: Secret for JWT authentication + zh_Hans: JWT认证的密钥 + type: string + required: false + default: '' + show_if: + field: auth-type + operator: eq + value: jwt + + - name: jwt-algorithm + label: + en_US: Algorithm + zh_Hans: 算法 + description: + en_US: Algorithm for JWT authentication + zh_Hans: JWT认证的算法 + type: string + required: false + default: HS256 + show_if: + field: auth-type + operator: eq + value: jwt + + - name: header-name + label: + en_US: Header Name + zh_Hans: 请求头名称 + description: + en_US: Header name for Header Auth + zh_Hans: 请求头认证的名称 + type: string + required: false + default: '' + show_if: + field: auth-type + operator: eq + value: header + + - name: header-value + label: + en_US: Header Value + zh_Hans: 请求头值 + description: + en_US: Header value for Header Auth + zh_Hans: 请求头认证的值 + type: string + required: false + default: '' + show_if: + field: auth-type + operator: eq + value: header + + - name: timeout + label: + en_US: Timeout (seconds) + zh_Hans: 超时时间（秒） + description: + en_US: Request timeout in seconds + zh_Hans: 请求超时时间（秒） + type: integer + required: false + default: 120 + + - name: output-key + label: + en_US: Output Key + zh_Hans: 输出键名 + description: + en_US: Key name of output in webhook response + zh_Hans: Webhook 响应中输出内容的键名 + type: string + required: false + default: response diff --git a/src/langbot/templates/metadata/nodes/opening_statement.yaml b/src/langbot/templates/metadata/nodes/opening_statement.yaml new file mode 100644 index 000000000..2626ac277 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/opening_statement.yaml @@ -0,0 +1,57 @@ +# Opening Statement Node Configuration +name: opening_statement +category: action +icon: "👋" +color: '#ef4444' +description: 'workflows.nodes.openingStatementDescription' + +inputs: [] + +outputs: + - name: statement + type: string + label: + en_US: Statement + zh_Hans: 声明 + description: + en_US: Opening statement + zh_Hans: 开场声明 + - name: suggested_questions + type: array + label: + en_US: Suggested Questions + zh_Hans: 建议问题 + description: + en_US: Suggested questions + zh_Hans: 建议问题 + +config: + - name: statement + type: textarea + required: true + label: + en_US: Statement + zh_Hans: 声明 + description: + en_US: Opening statement text + zh_Hans: 开场声明文本 + + - name: suggested_questions + type: json + default: ["问题1？", "问题2？", "问题3？"] + label: + en_US: Suggested Questions + zh_Hans: 建议问题 + description: + en_US: List of suggested questions + zh_Hans: 建议问题列表 + + - name: show_suggestions + type: boolean + default: true + label: + en_US: Show Suggestions + zh_Hans: 显示建议 + description: + en_US: Whether to show suggestions + zh_Hans: 是否显示建议 diff --git a/src/langbot/templates/metadata/nodes/parallel.yaml b/src/langbot/templates/metadata/nodes/parallel.yaml new file mode 100644 index 000000000..44d8c7b48 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/parallel.yaml @@ -0,0 +1,77 @@ +# Parallel Node Configuration +# This file defines the metadata for the Parallel workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/parallel.py + +name: parallel +category: control +icon: "⚡" +color: '#8b5cf6' +description: 'workflows.nodes.parallelDescription' + +inputs: + - name: input + type: any + label: + en_US: Input + zh_Hans: 输入 + description: + en_US: Input data for all branches + zh_Hans: 所有分支的输入数据 + +outputs: + - name: branch_1 + type: any + label: + en_US: Branch 1 + zh_Hans: 分支 1 + description: + en_US: Branch 1 output + zh_Hans: 分支 1 输出 + - name: branch_2 + type: any + label: + en_US: Branch 2 + zh_Hans: 分支 2 + description: + en_US: Branch 2 output + zh_Hans: 分支 2 输出 + - name: results + type: object + label: + en_US: Results + zh_Hans: 结果 + description: + en_US: Combined results from all branches + zh_Hans: 所有分支的合并结果 + +config: + - name: branches + type: json + required: true + default: "[]" + label: + en_US: Branches + zh_Hans: 分支 + description: + en_US: Define branches as JSON array + zh_Hans: 使用 JSON 数组定义分支 + + - name: wait_for_all + type: boolean + default: true + label: + en_US: Wait for All + zh_Hans: 等待全部完成 + description: + en_US: Wait for all branches to complete + zh_Hans: 等待所有分支完成 + + - name: fail_fast + type: boolean + default: false + label: + en_US: Fail Fast + zh_Hans: 快速失败 + description: + en_US: Stop all branches if any one fails + zh_Hans: 如果任何一个分支失败则停止所有分支 diff --git a/src/langbot/templates/metadata/nodes/parameter_extractor.yaml b/src/langbot/templates/metadata/nodes/parameter_extractor.yaml new file mode 100644 index 000000000..04595dc03 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/parameter_extractor.yaml @@ -0,0 +1,87 @@ +# Parameter Extractor Node Configuration +# This file defines the metadata for the Parameter Extractor workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/parameter_extractor.py + +name: parameter_extractor +category: process +icon: "🔍" +color: '#8b5cf6' +description: 'workflows.nodes.parameterExtractorDescription' + +inputs: + - name: text + type: string + label: + en_US: Text + zh_Hans: 文本 + description: + en_US: Text to extract parameters from + zh_Hans: 要提取参数的文本 + +outputs: + - name: parameters + type: object + label: + en_US: Parameters + zh_Hans: 参数 + description: + en_US: Extracted parameters as key-value pairs + zh_Hans: 提取的参数键值对 + - name: missing + type: array + label: + en_US: Missing + zh_Hans: 缺失项 + description: + en_US: List of required parameters that could not be extracted + zh_Hans: 无法提取的必需参数列表 + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether all required parameters were extracted + zh_Hans: 是否所有必需参数都已提取 + +config: + - name: model + type: llm-model-selector + required: true + label: + en_US: Extraction Model + zh_Hans: 提取模型 + description: + en_US: Select the model for parameter extraction + zh_Hans: 选择用于参数提取的模型 + + - name: parameters + type: textarea + required: true + default: "[]" + label: + en_US: Parameters Schema + zh_Hans: 参数架构 + description: + en_US: JSON array defining expected parameters + zh_Hans: 定义期望参数的 JSON 数组 + + - name: extraction_prompt + type: textarea + default: "" + label: + en_US: Extraction Prompt + zh_Hans: 提取提示 + description: + en_US: Additional instructions for the extraction model + zh_Hans: 提取模型的额外指令 + + - name: strict_mode + type: boolean + default: true + label: + en_US: Strict Mode + zh_Hans: 严格模式 + description: + en_US: Fail if any required parameter cannot be extracted + zh_Hans: 如果任何必需参数无法提取则失败 diff --git a/src/langbot/templates/metadata/nodes/question_classifier.yaml b/src/langbot/templates/metadata/nodes/question_classifier.yaml new file mode 100644 index 000000000..c64c73957 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/question_classifier.yaml @@ -0,0 +1,87 @@ +# Question Classifier Node Configuration +# This file defines the metadata for the Question Classifier workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/question_classifier.py + +name: question_classifier +category: process +icon: "🏷️" +color: '#8b5cf6' +description: 'workflows.nodes.questionClassifierDescription' + +inputs: + - name: question + type: string + label: + en_US: Question + zh_Hans: 问题 + description: + en_US: The question to classify + zh_Hans: 要分类的问题 + +outputs: + - name: category + type: string + label: + en_US: Category + zh_Hans: 分类 + description: + en_US: The classified category + zh_Hans: 分类结果 + - name: confidence + type: number + label: + en_US: Confidence + zh_Hans: 置信度 + description: + en_US: Classification confidence score + zh_Hans: 分类置信度分数 + - name: all_scores + type: object + label: + en_US: All Scores + zh_Hans: 所有分数 + description: + en_US: Scores for all categories + zh_Hans: 所有分类的分数 + +config: + - name: model + type: llm-model-selector + required: true + label: + en_US: Classification Model + zh_Hans: 分类模型 + description: + en_US: Select the model to use for classification + zh_Hans: 选择用于分类的模型 + + - name: categories + type: textarea + required: true + default: "[]" + label: + en_US: Categories Definition + zh_Hans: 分类定义 + description: + en_US: Define categories in JSON format + zh_Hans: 使用 JSON 格式定义分类 + + - name: confidence_threshold + type: number + default: 0.7 + label: + en_US: Confidence Threshold + zh_Hans: 置信度阈值 + description: + en_US: Minimum confidence score required + zh_Hans: 所需的最小置信度分数 + + - name: fallback_category + type: string + default: other + label: + en_US: Fallback Category + zh_Hans: 默认分类 + description: + en_US: Category to use when confidence is below threshold + zh_Hans: 当置信度低于阈值时使用的分类 diff --git a/src/langbot/templates/metadata/nodes/redis_operation.yaml b/src/langbot/templates/metadata/nodes/redis_operation.yaml new file mode 100644 index 000000000..de7b73f36 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/redis_operation.yaml @@ -0,0 +1,113 @@ +# Redis Operation Node Configuration +# This file defines the metadata for the Redis Operation workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/redis_operation.py + +name: redis_operation +category: integration +icon: "🔴" +color: '#ec4899' +description: 'workflows.nodes.redisOperationDescription' + +inputs: + - name: key + type: string + required: false + label: + en_US: Key + zh_Hans: 键 + description: + en_US: Redis key + zh_Hans: Redis 键 + - name: value + type: any + required: false + label: + en_US: Value + zh_Hans: 值 + description: + en_US: Value to store + zh_Hans: 要存储的值 + +outputs: + - name: result + type: any + label: + en_US: Result + zh_Hans: 结果 + description: + en_US: Operation result + zh_Hans: 操作结果 + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether operation was successful + zh_Hans: 操作是否成功 + +config: + - name: connection_url + type: string + required: true + default: "redis://localhost:6379" + label: + en_US: Redis URL + zh_Hans: Redis URL + description: + en_US: Redis connection URL + zh_Hans: Redis 连接 URL + + - name: operation + type: select + required: true + default: get + options: + - get + - set + - delete + - exists + - incr + - decr + - hget + - hset + - lpush + - rpush + - lpop + - rpop + label: + en_US: Operation + zh_Hans: 操作 + description: + en_US: Redis operation to perform + zh_Hans: 要执行的 Redis 操作 + + - name: key_template + type: string + default: "" + label: + en_US: Key Template + zh_Hans: 键模板 + description: + en_US: Redis key template + zh_Hans: Redis 键模板 + + - name: hash_field + type: string + default: "" + label: + en_US: Hash Field + zh_Hans: 哈希字段 + description: + en_US: Field name for hash operations + zh_Hans: 哈希操作的字段名 + + - name: ttl + type: integer + default: 0 + label: + en_US: TTL (seconds) + zh_Hans: TTL（秒） + description: + en_US: Time to live for SET operations + zh_Hans: SET 操作的过期时间 diff --git a/src/langbot/templates/metadata/nodes/reply_message.yaml b/src/langbot/templates/metadata/nodes/reply_message.yaml new file mode 100644 index 000000000..4d190d565 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/reply_message.yaml @@ -0,0 +1,75 @@ +# Reply Message Node Configuration +name: reply_message +category: action +icon: "↩️" +color: '#ef4444' +description: 'workflows.nodes.replyMessageDescription' + +inputs: + - name: message + type: string + label: + en_US: Message + zh_Hans: 消息 + description: + en_US: Message to reply + zh_Hans: 要回复的消息 + +outputs: + - name: status + type: string + label: + en_US: Status + zh_Hans: 状态 + description: + en_US: Reply status + zh_Hans: 回复状态 + - name: message_id + type: string + label: + en_US: Message ID + zh_Hans: 消息 ID + description: + en_US: Message ID + zh_Hans: 消息 ID + +config: + - name: reply_mode + type: select + options: ["direct", "quote", "at"] + default: "direct" + label: + en_US: Reply Mode + zh_Hans: 回复模式 + description: + en_US: How to reply + zh_Hans: 回复方式 + + - name: message_template + type: textarea + label: + en_US: Message Template + zh_Hans: 消息模板 + description: + en_US: Message template with variable interpolation + zh_Hans: 支持变量插值的消息模板 + + - name: long_text_processing + type: json + label: + en_US: Long Text Processing + zh_Hans: 长文本处理 + description: + en_US: Long text processing settings + zh_Hans: 长文本处理设置 + pipeline_config_source: "pipeline:output:long-text-processing" + + - name: force_delay + type: json + label: + en_US: Force Delay + zh_Hans: 强制延迟 + description: + en_US: Force delay settings + zh_Hans: 强制延迟设置 + pipeline_config_source: "pipeline:output:force-delay" diff --git a/src/langbot/templates/metadata/nodes/send_message.yaml b/src/langbot/templates/metadata/nodes/send_message.yaml new file mode 100644 index 000000000..5995dd8b3 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/send_message.yaml @@ -0,0 +1,95 @@ +# Send Message Node Configuration +# This file defines the metadata for the Send Message workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/send_message.py + +name: send_message +category: action +icon: "📤" +color: '#10b981' +description: 'workflows.nodes.sendMessageDescription' + +inputs: + - name: content + type: string + required: false + label: + en_US: Content + zh_Hans: 内容 + description: + en_US: Message content to send + zh_Hans: 要发送的消息内容 + - name: context + type: object + required: false + label: + en_US: Context + zh_Hans: 上下文 + description: + en_US: Message context (for reply) + zh_Hans: 消息上下文（用于回复） + +outputs: + - name: message_id + type: string + label: + en_US: Message ID + zh_Hans: 消息 ID + description: + en_US: ID of the sent message + zh_Hans: 已发送消息的 ID + - name: success + type: boolean + label: + en_US: Success + zh_Hans: 成功 + description: + en_US: Whether the message was sent successfully + zh_Hans: 消息是否发送成功 + +config: + - name: message_type + type: select + required: true + default: text + options: + - text + - markdown + - image + - file + - card + label: + en_US: Message Type + zh_Hans: 消息类型 + description: + en_US: Type of message to send + zh_Hans: 要发送的消息类型 + + - name: content_template + type: textarea + default: "" + label: + en_US: Content Template + zh_Hans: 内容模板 + description: + en_US: Message content template + zh_Hans: 消息内容模板 + + - name: reply_to_original + type: boolean + default: true + label: + en_US: Reply to Original + zh_Hans: 回复原消息 + description: + en_US: Reply to the original message + zh_Hans: 回复原始消息 + + - name: at_sender + type: boolean + default: false + label: + en_US: '@ Sender' + zh_Hans: '@ 发送者' + description: + en_US: Mention the original sender + zh_Hans: 提及原始发送者 diff --git a/src/langbot/templates/metadata/nodes/set_variable.yaml b/src/langbot/templates/metadata/nodes/set_variable.yaml new file mode 100644 index 000000000..604decb98 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/set_variable.yaml @@ -0,0 +1,59 @@ +# Set Variable Node Configuration +name: set_variable +category: action +icon: "📝" +color: '#ef4444' +description: 'workflows.nodes.setVariableDescription' + +inputs: + - name: value + type: any + label: + en_US: Value + zh_Hans: 值 + description: + en_US: Value to set + zh_Hans: 要设置的值 + +outputs: + - name: value + type: any + label: + en_US: Value + zh_Hans: 值 + description: + en_US: Set value + zh_Hans: 设置的值 + +config: + - name: variable_name + type: string + required: true + label: + en_US: Variable Name + zh_Hans: 变量名 + description: + en_US: Name of the variable + zh_Hans: 变量名称 + + - name: variable_scope + type: select + options: ["workflow", "conversation"] + default: "workflow" + label: + en_US: Variable Scope + zh_Hans: 变量作用域 + description: + en_US: Scope of the variable + zh_Hans: 变量作用域 + + - name: operation + type: select + options: ["set", "append", "increment", "decrement"] + default: "set" + label: + en_US: Operation + zh_Hans: 操作 + description: + en_US: Operation to perform + zh_Hans: 要执行的操作 diff --git a/src/langbot/templates/metadata/nodes/store_data.yaml b/src/langbot/templates/metadata/nodes/store_data.yaml new file mode 100644 index 000000000..8f3cda350 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/store_data.yaml @@ -0,0 +1,65 @@ +# Store Data Node Configuration +name: store_data +category: action +icon: "💾" +color: '#ef4444' +description: 'workflows.nodes.storeDataDescription' + +inputs: + - name: key + type: string + label: + en_US: Key + zh_Hans: 键 + description: + en_US: Storage key + zh_Hans: 存储键 + - name: value + type: any + label: + en_US: Value + zh_Hans: 值 + description: + en_US: Value to store + zh_Hans: 要存储的值 + +outputs: + - name: status + type: string + label: + en_US: Status + zh_Hans: 状态 + description: + en_US: Store status + zh_Hans: 存储状态 + +config: + - name: storage_type + type: select + options: ["session", "user", "global", "database"] + default: "session" + label: + en_US: Storage Type + zh_Hans: 存储类型 + description: + en_US: Type of storage + zh_Hans: 存储类型 + + - name: ttl + type: integer + default: 0 + label: + en_US: TTL (seconds) + zh_Hans: 过期时间（秒） + description: + en_US: Time to live in seconds + zh_Hans: 存活时间（秒） + + - name: key_prefix + type: string + label: + en_US: Key Prefix + zh_Hans: 键前缀 + description: + en_US: Key prefix + zh_Hans: 键前缀 diff --git a/src/langbot/templates/metadata/nodes/switch.yaml b/src/langbot/templates/metadata/nodes/switch.yaml new file mode 100644 index 000000000..f2bb823ac --- /dev/null +++ b/src/langbot/templates/metadata/nodes/switch.yaml @@ -0,0 +1,78 @@ +# Switch Node Configuration +# This file defines the metadata for the Switch workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/switch.py + +name: switch +category: control +icon: "🔀" +color: '#8b5cf6' +description: 'workflows.nodes.switchDescription' + +inputs: + - name: input + type: any + label: + en_US: Input + zh_Hans: 输入 + description: + en_US: Value to switch on + zh_Hans: 用于切换的值 + +outputs: + - name: case_1 + type: any + label: + en_US: Case 1 + zh_Hans: 情况 1 + description: + en_US: Case 1 output + zh_Hans: 情况 1 输出 + - name: case_2 + type: any + label: + en_US: Case 2 + zh_Hans: 情况 2 + description: + en_US: Case 2 output + zh_Hans: 情况 2 输出 + - name: default + type: any + label: + en_US: Default + zh_Hans: 默认 + description: + en_US: Default output + zh_Hans: 默认输出 + +config: + - name: switch_expression + type: string + required: true + default: "{{input}}" + label: + en_US: Switch Expression + zh_Hans: 开关表达式 + description: + en_US: Expression to evaluate for switching + zh_Hans: 用于切换的表达式 + + - name: cases + type: json + required: true + default: "[]" + label: + en_US: Cases + zh_Hans: 情况 + description: + en_US: Define cases as JSON array + zh_Hans: 使用 JSON 数组定义情况 + + - name: case_sensitive + type: boolean + default: true + label: + en_US: Case Sensitive + zh_Hans: 区分大小写 + description: + en_US: Whether string comparisons are case-sensitive + zh_Hans: 字符串比较是否区分大小写 diff --git a/src/langbot/templates/metadata/nodes/variable_aggregator.yaml b/src/langbot/templates/metadata/nodes/variable_aggregator.yaml new file mode 100644 index 000000000..07873dcfc --- /dev/null +++ b/src/langbot/templates/metadata/nodes/variable_aggregator.yaml @@ -0,0 +1,48 @@ +# Variable Aggregator Node Configuration +name: variable_aggregator +category: control +icon: "📊" +color: '#f59e0b' +description: 'workflows.nodes.variableAggregatorDescription' + +inputs: + - name: variables + type: object + label: + en_US: Variables + zh_Hans: 变量 + description: + en_US: Variables to aggregate + zh_Hans: 要聚合的变量 + +outputs: + - name: aggregated + type: object + label: + en_US: Aggregated + zh_Hans: 聚合结果 + description: + en_US: Aggregated variables + zh_Hans: 聚合后的变量 + +config: + - name: variable_mappings + type: json + default: [] + label: + en_US: Variable Mappings + zh_Hans: 变量映射 + description: + en_US: Variable mapping configurations + zh_Hans: 变量映射配置 + + - name: aggregation_mode + type: select + options: ["merge", "override", "append"] + default: "merge" + label: + en_US: Aggregation Mode + zh_Hans: 聚合模式 + description: + en_US: Mode for aggregating variables + zh_Hans: 变量聚合模式 diff --git a/src/langbot/templates/metadata/nodes/wait.yaml b/src/langbot/templates/metadata/nodes/wait.yaml new file mode 100644 index 000000000..a06a65c46 --- /dev/null +++ b/src/langbot/templates/metadata/nodes/wait.yaml @@ -0,0 +1,65 @@ +# Wait Node Configuration +# This file defines the metadata for the Wait workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/wait.py + +name: wait +category: control +icon: "⏳" +color: '#8b5cf6' +description: 'workflows.nodes.waitDescription' + +inputs: + - name: input + type: any + required: false + label: + en_US: Input + zh_Hans: 输入 + description: + en_US: Input to pass through + zh_Hans: 传递的输入 + +outputs: + - name: output + type: any + label: + en_US: Output + zh_Hans: 输出 + description: + en_US: Passed through input + zh_Hans: 传递的输入 + +config: + - name: wait_type + type: select + required: true + default: duration + options: + - duration + - until + label: + en_US: Wait Type + zh_Hans: 等待类型 + description: + en_US: Type of wait operation + zh_Hans: 等待操作的类型 + + - name: duration + type: integer + default: 5 + label: + en_US: Duration (seconds) + zh_Hans: 时长（秒） + description: + en_US: Number of seconds to wait + zh_Hans: 等待的秒数 + + - name: until_time + type: string + default: "" + label: + en_US: Until Time + zh_Hans: 直到时间 + description: + en_US: Wait until this time + zh_Hans: 等待直到此时间 diff --git a/src/langbot/templates/metadata/nodes/webhook_trigger.yaml b/src/langbot/templates/metadata/nodes/webhook_trigger.yaml new file mode 100644 index 000000000..e2a268cab --- /dev/null +++ b/src/langbot/templates/metadata/nodes/webhook_trigger.yaml @@ -0,0 +1,138 @@ +# Webhook Trigger Node Configuration +# This file defines the metadata for the Webhook Trigger workflow node +# The corresponding Python implementation is in: pkg/workflow/nodes/webhook_trigger.py + +name: webhook_trigger +category: trigger +icon: "🌐" +color: '#22c55e' +description: 'workflows.nodes.webhookTriggerDescription' + +inputs: [] + +outputs: + - name: body + type: object + label: + en_US: Body + zh_Hans: 请求体 + description: + en_US: Request body data + zh_Hans: 请求体数据 + - name: headers + type: object + label: + en_US: Headers + zh_Hans: 请求头 + description: + en_US: Request headers + zh_Hans: 请求头 + - name: query + type: object + label: + en_US: Query + zh_Hans: 查询参数 + description: + en_US: Query parameters + zh_Hans: 查询参数 + - name: method + type: string + label: + en_US: Method + zh_Hans: HTTP 方法 + description: + en_US: HTTP method + zh_Hans: HTTP 请求方法 + +config: + - name: webhook_path + type: string + required: true + default: "" + label: + en_US: Webhook Path + zh_Hans: Webhook 路径 + description: + en_US: Unique path for this webhook + zh_Hans: 此 Webhook 的唯一路径 + + - name: auth_type + type: select + required: true + default: none + options: + - none + - token + - signature + - basic + label: + en_US: Authentication + zh_Hans: 认证方式 + description: + en_US: How to authenticate incoming webhook requests + zh_Hans: 如何验证传入的 Webhook 请求 + + - name: auth_token + type: string + default: "" + label: + en_US: Auth Token + zh_Hans: 认证令牌 + description: + en_US: Token or secret for authentication + zh_Hans: 用于认证的令牌或密钥 + + - name: allowed_ips + type: json + default: [] + label: + en_US: Allowed IPs + zh_Hans: 允许的 IP + description: + en_US: List of allowed IP addresses + zh_Hans: 允许的 IP 地址列表 + + - name: allowed_methods + type: json + default: ["POST"] + label: + en_US: Allowed Methods + zh_Hans: 允许的方法 + description: + en_US: Allowed HTTP methods + zh_Hans: 允许的 HTTP 方法 + + - name: content_type + type: select + default: "application/json" + options: + - "application/json" + - "application/x-www-form-urlencoded" + - "multipart/form-data" + - "text/plain" + label: + en_US: Content Type + zh_Hans: 内容类型 + description: + en_US: Expected Content-Type + zh_Hans: 期望的内容类型 + + - name: validation + type: json + default: "{}" + label: + en_US: Validation Rules + zh_Hans: 验证规则 + description: + en_US: Request validation rules + zh_Hans: 请求验证规则 + + - name: timeout + type: integer + default: 30 + label: + en_US: Timeout (seconds) + zh_Hans: 超时时间（秒） + description: + en_US: Request timeout in seconds + zh_Hans: 请求超时时间（秒） diff --git a/tests/unit_tests/workflow/__init__.py b/tests/unit_tests/workflow/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/unit_tests/workflow/test_executor.py b/tests/unit_tests/workflow/test_executor.py new file mode 100644 index 000000000..bb67990f7 --- /dev/null +++ b/tests/unit_tests/workflow/test_executor.py @@ -0,0 +1,351 @@ +"""Tests for the workflow execution engine.""" + +import sys +import os +import pytest + +sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', '..', 'src')) + +from langbot.pkg.workflow.entities import ( + WorkflowDefinition, + NodeDefinition, + EdgeDefinition, + ExecutionContext, + ExecutionStatus, + NodeStatus, + MessageContext, +) +from langbot.pkg.workflow.executor import WorkflowExecutor, LoopExecutor +from langbot.pkg.workflow.node import WorkflowNode, NodePort +from langbot.pkg.workflow.registry import NodeTypeRegistry + + +# ── Test helpers ───────────────────────────────────────────────────── + +class PassthroughNode(WorkflowNode): + """Simple node that passes input to output.""" + type_name = "passthrough" + category = "process" + + async def execute(self, inputs, context): + return {"output": inputs.get("input", "default")} + + +class FailingNode(WorkflowNode): + """Node that always fails.""" + type_name = "failing" + category = "process" + + async def execute(self, inputs, context): + raise RuntimeError("intentional failure") + + +class AccumulatorNode(WorkflowNode): + """Node that appends its id to a context variable for tracking execution order.""" + type_name = "accumulator" + category = "process" + + async def execute(self, inputs, context): + order = context.variables.get("_exec_order", []) + order.append(self.node_id) + context.variables["_exec_order"] = order + return {"output": self.node_id} + + +class ConditionTrueNode(WorkflowNode): + """Node that outputs a truthy value.""" + type_name = "cond_true" + category = "control" + + async def execute(self, inputs, context): + return {"result": True} + + +def _make_registry(*node_classes) -> NodeTypeRegistry: + """Create a fresh registry with given node classes.""" + reg = NodeTypeRegistry() + for cls in node_classes: + cat = getattr(cls, 'category', 'process') + reg.register(f"{cat}.{cls.type_name}", cls) + return reg + + +def _make_context(workflow_id="wf-test") -> ExecutionContext: + return ExecutionContext( + execution_id="exec-test", + workflow_id=workflow_id, + ) + + +def _node(id: str, type: str, config=None) -> NodeDefinition: + return NodeDefinition(id=id, type=type, config=config or {}) + + +def _edge(id: str, src: str, tgt: str, condition=None) -> EdgeDefinition: + return EdgeDefinition( + id=id, source_node=src, target_node=tgt, condition=condition + ) + + +# ── Tests ──────────────────────────────────────────────────────────── + +class TestLinearWorkflow: + """Test simple linear A → B → C workflows.""" + + @pytest.mark.asyncio + async def test_single_node(self): + reg = _make_registry(PassthroughNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-1", name="test", + nodes=[_node("n1", "process.passthrough")], + edges=[], + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + assert result.status == ExecutionStatus.COMPLETED + assert result.node_states["n1"].status == NodeStatus.COMPLETED + + @pytest.mark.asyncio + async def test_two_node_chain(self): + reg = _make_registry(AccumulatorNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-2", name="test", + nodes=[ + _node("a", "process.accumulator"), + _node("b", "process.accumulator"), + ], + edges=[_edge("e1", "a", "b")], + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + assert result.status == ExecutionStatus.COMPLETED + assert result.variables["_exec_order"] == ["a", "b"] + + @pytest.mark.asyncio + async def test_three_node_chain(self): + reg = _make_registry(AccumulatorNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-3", name="test", + nodes=[ + _node("a", "process.accumulator"), + _node("b", "process.accumulator"), + _node("c", "process.accumulator"), + ], + edges=[ + _edge("e1", "a", "b"), + _edge("e2", "b", "c"), + ], + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + assert result.status == ExecutionStatus.COMPLETED + assert result.variables["_exec_order"] == ["a", "b", "c"] + + +class TestFailureHandling: + """Test node failure and retry behavior.""" + + @pytest.mark.asyncio + async def test_failing_node_marks_failed(self): + reg = _make_registry(FailingNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-fail", name="test", + nodes=[_node("n1", "process.failing")], + edges=[], + settings={"max_retries": 0}, + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + assert result.status == ExecutionStatus.FAILED + assert result.node_states["n1"].status == NodeStatus.FAILED + assert "intentional failure" in result.node_states["n1"].error + + @pytest.mark.asyncio + async def test_failure_stops_downstream(self): + reg = _make_registry(FailingNode, AccumulatorNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-stop", name="test", + nodes=[ + _node("a", "process.failing"), + _node("b", "process.accumulator"), + ], + edges=[_edge("e1", "a", "b")], + settings={"max_retries": 0}, + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + assert result.node_states["a"].status == NodeStatus.FAILED + # b should not have been executed + assert result.node_states["b"].status == NodeStatus.PENDING + + +class TestConditionalEdges: + """Test edge condition evaluation.""" + + @pytest.mark.asyncio + async def test_true_condition_passes(self): + reg = _make_registry(AccumulatorNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-cond", name="test", + nodes=[ + _node("a", "process.accumulator"), + _node("b", "process.accumulator"), + ], + edges=[_edge("e1", "a", "b", condition="1 == 1")], + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + assert result.variables["_exec_order"] == ["a", "b"] + + @pytest.mark.asyncio + async def test_false_condition_skips(self): + reg = _make_registry(AccumulatorNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-cond2", name="test", + nodes=[ + _node("a", "process.accumulator"), + _node("b", "process.accumulator"), + ], + edges=[_edge("e1", "a", "b", condition="1 == 2")], + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + # Only a should execute; b is skipped because condition is false + assert result.variables["_exec_order"] == ["a"] + + +class TestDiamondGraph: + """Test diamond-shaped DAG: A → B, A → C, B → D, C → D.""" + + @pytest.mark.asyncio + async def test_diamond_executes_all(self): + """D should execute once (not be skipped as circular).""" + reg = _make_registry(AccumulatorNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-diamond", name="test", + nodes=[ + _node("a", "process.accumulator"), + _node("b", "process.accumulator"), + _node("c", "process.accumulator"), + _node("d", "process.accumulator"), + ], + edges=[ + _edge("e1", "a", "b"), + _edge("e2", "a", "c"), + _edge("e3", "b", "d"), + _edge("e4", "c", "d"), + ], + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + assert result.status == ExecutionStatus.COMPLETED + # All four nodes should complete + for nid in ["a", "b", "c", "d"]: + assert result.node_states[nid].status == NodeStatus.COMPLETED + + +class TestUnknownNodeType: + """Test handling of unregistered node types.""" + + @pytest.mark.asyncio + async def test_unknown_type_fails(self): + reg = _make_registry() # empty registry + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-unk", name="test", + nodes=[_node("n1", "process.nonexistent")], + edges=[], + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + assert result.node_states["n1"].status == NodeStatus.FAILED + assert "Unknown node type" in result.node_states["n1"].error + + +class TestMessageContext: + """Test that message context is available to nodes.""" + + @pytest.mark.asyncio + async def test_message_context_in_inputs(self): + reg = _make_registry(PassthroughNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-msg", name="test", + nodes=[_node("n1", "process.passthrough")], + edges=[], + ) + ctx = _make_context() + ctx.message_context = MessageContext( + message_id="msg-1", + message_content="hello world", + sender_id="user-1", + ) + result = await executor.execute(wf, ctx) + + assert result.status == ExecutionStatus.COMPLETED + # message_content should be in the resolved inputs + n1_inputs = result.node_states["n1"].inputs + assert n1_inputs.get("message_content") == "hello world" + + +class TestExecutionHistory: + """Test that execution steps are recorded.""" + + @pytest.mark.asyncio + async def test_history_recorded(self): + reg = _make_registry(AccumulatorNode) + executor = WorkflowExecutor() + executor.registry = reg + + wf = WorkflowDefinition( + uuid="wf-hist", name="test", + nodes=[ + _node("a", "process.accumulator"), + _node("b", "process.accumulator"), + ], + edges=[_edge("e1", "a", "b")], + ) + ctx = _make_context() + result = await executor.execute(wf, ctx) + + assert len(result.history) == 2 + assert result.history[0].node_id == "a" + assert result.history[1].node_id == "b" + assert result.history[0].status == "completed" diff --git a/tests/unit_tests/workflow/test_registry.py b/tests/unit_tests/workflow/test_registry.py new file mode 100644 index 000000000..8042b49ff --- /dev/null +++ b/tests/unit_tests/workflow/test_registry.py @@ -0,0 +1,133 @@ +"""Tests for the node type registry.""" + +import sys +import os +import pytest + +sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', '..', 'src')) + +from langbot.pkg.workflow.node import WorkflowNode, NodePort +from langbot.pkg.workflow.registry import NodeTypeRegistry + + +class DummyNode(WorkflowNode): + type_name = "dummy" + category = "process" + name = "dummy" + description = "A dummy node" + + async def execute(self, inputs, context): + return {"output": "ok"} + + +class TriggerNode(WorkflowNode): + type_name = "my_trigger" + category = "trigger" + name = "my_trigger" + + async def execute(self, inputs, context): + return {} + + +class TestRegistryBasics: + def setup_method(self): + self.reg = NodeTypeRegistry() + + def test_register_and_get(self): + self.reg.register("process.dummy", DummyNode) + assert self.reg.get("process.dummy") is DummyNode + + def test_get_missing_returns_none(self): + assert self.reg.get("process.nonexistent") is None + + def test_has_type(self): + self.reg.register("process.dummy", DummyNode) + assert self.reg.has_type("process.dummy") is True + assert self.reg.has_type("process.missing") is False + + def test_count(self): + assert self.reg.count() == 0 + self.reg.register("process.dummy", DummyNode) + assert self.reg.count() == 1 + + def test_clear(self): + self.reg.register("process.dummy", DummyNode) + self.reg.clear() + assert self.reg.count() == 0 + + def test_unregister(self): + self.reg.register("process.dummy", DummyNode) + self.reg.unregister("process.dummy") + assert self.reg.get("process.dummy") is None + assert self.reg.count() == 0 + + +class TestRegistryLookupFormats: + """Test that both full and short name lookups work.""" + + def setup_method(self): + self.reg = NodeTypeRegistry() + self.reg.register("process.dummy", DummyNode) + + def test_full_name_lookup(self): + assert self.reg.get("process.dummy") is DummyNode + + def test_short_name_lookup(self): + """Short name (type_name only) should also resolve.""" + assert self.reg.get("dummy") is DummyNode + + +class TestRegistryCategories: + def setup_method(self): + self.reg = NodeTypeRegistry() + self.reg.register("process.dummy", DummyNode) + self.reg.register("trigger.my_trigger", TriggerNode) + + def test_list_by_category(self): + process_nodes = self.reg.list_by_category("process") + assert len(process_nodes) == 1 + assert process_nodes[0]["type"] == "process.dummy" + + def test_list_by_category_empty(self): + assert self.reg.list_by_category("action") == [] + + def test_get_categories(self): + cats = self.reg.get_categories() + assert "process" in cats + assert "trigger" in cats + assert len(cats["process"]) == 1 + assert len(cats["trigger"]) == 1 + + +class TestCreateInstance: + def setup_method(self): + self.reg = NodeTypeRegistry() + self.reg.register("process.dummy", DummyNode) + + def test_create_instance(self): + inst = self.reg.create_instance("process.dummy", "node-1", {"key": "val"}) + assert inst is not None + assert inst.node_id == "node-1" + assert inst.config == {"key": "val"} + + def test_create_instance_short_name(self): + inst = self.reg.create_instance("dummy", "node-2", {}) + assert inst is not None + + def test_create_instance_missing(self): + inst = self.reg.create_instance("process.nonexistent", "node-3", {}) + assert inst is None + + +class TestNodeSchema: + """Test to_schema() output.""" + + def test_schema_has_required_fields(self): + schema = DummyNode.to_schema() + assert schema["type"] == "process.dummy" + assert schema["category"] == "process" + assert "label" in schema + assert "description" in schema + assert "inputs" in schema + assert "outputs" in schema + assert "config_schema" in schema diff --git a/tests/unit_tests/workflow/test_safe_eval.py b/tests/unit_tests/workflow/test_safe_eval.py new file mode 100644 index 000000000..93b0bffa1 --- /dev/null +++ b/tests/unit_tests/workflow/test_safe_eval.py @@ -0,0 +1,191 @@ +"""Tests for the safe expression evaluator that replaced eval().""" + +import sys +import os +import pytest + +# Add project root to path +sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', '..', 'src')) + +from langbot.pkg.workflow.executor import _safe_eval + + +class TestSafeEvalLiterals: + """Test literal value evaluation.""" + + def test_integer(self): + assert _safe_eval("42") == 42 + + def test_negative_integer(self): + assert _safe_eval("-5") == -5 + + def test_float(self): + assert _safe_eval("3.14") == pytest.approx(3.14) + + def test_string(self): + assert _safe_eval('"hello"') == "hello" + + def test_single_quoted_string(self): + assert _safe_eval("'world'") == "world" + + def test_true(self): + assert _safe_eval("True") is True + + def test_false(self): + assert _safe_eval("False") is False + + def test_none(self): + assert _safe_eval("None") is None + + +class TestSafeEvalComparisons: + """Test comparison operators.""" + + def test_eq_true(self): + assert _safe_eval("1 == 1") is True + + def test_eq_false(self): + assert _safe_eval("1 == 2") is False + + def test_neq(self): + assert _safe_eval("1 != 2") is True + + def test_gt(self): + assert _safe_eval("3 > 2") is True + + def test_gte(self): + assert _safe_eval("3 >= 3") is True + + def test_lt(self): + assert _safe_eval("1 < 2") is True + + def test_lte(self): + assert _safe_eval("2 <= 2") is True + + def test_string_eq(self): + assert _safe_eval('"hello" == "hello"') is True + + def test_string_neq(self): + assert _safe_eval('"a" != "b"') is True + + def test_chained_comparison(self): + assert _safe_eval("1 < 2 < 3") is True + + def test_chained_comparison_false(self): + assert _safe_eval("1 < 2 > 3") is False + + def test_is_none(self): + assert _safe_eval("None is None") is True + + def test_is_not_none(self): + assert _safe_eval("1 is not None") is True + + +class TestSafeEvalIn: + """Test 'in' / 'not in' operators.""" + + def test_in_list(self): + assert _safe_eval('"abc" in ["abc", "def"]') is True + + def test_not_in_list(self): + assert _safe_eval('"x" not in ["a", "b"]') is True + + def test_int_in_list(self): + assert _safe_eval("2 in [1, 2, 3]") is True + + def test_in_string(self): + assert _safe_eval('"lo" in "hello"') is True + + +class TestSafeEvalBooleanLogic: + """Test and / or / not operators.""" + + def test_and_true(self): + assert _safe_eval("True and True") is True + + def test_and_false(self): + assert _safe_eval("True and False") is False + + def test_or_true(self): + assert _safe_eval("False or True") is True + + def test_or_false(self): + assert _safe_eval("False or False") is False + + def test_not_true(self): + assert _safe_eval("not False") is True + + def test_not_false(self): + assert _safe_eval("not True") is False + + def test_complex_boolean(self): + assert _safe_eval("(1 == 1) and (2 > 1) or False") is True + + +class TestSafeEvalArithmetic: + """Test arithmetic operators.""" + + def test_add(self): + assert _safe_eval("1 + 2") == 3 + + def test_sub(self): + assert _safe_eval("5 - 3") == 2 + + def test_mul(self): + assert _safe_eval("3 * 4") == 12 + + def test_div(self): + assert _safe_eval("10 / 3") == pytest.approx(3.333, abs=0.01) + + def test_floor_div(self): + assert _safe_eval("10 // 3") == 3 + + def test_mod(self): + assert _safe_eval("10 % 3") == 1 + + def test_combined_arithmetic_comparison(self): + assert _safe_eval("1 + 2 == 3") is True + + +class TestSafeEvalSecurity: + """Ensure dangerous constructs are rejected.""" + + def test_import_blocked(self): + with pytest.raises((ValueError, SyntaxError)): + _safe_eval('__import__("os")') + + def test_function_call_blocked(self): + with pytest.raises(ValueError): + _safe_eval('print("hello")') + + def test_open_blocked(self): + with pytest.raises(ValueError): + _safe_eval('open("/etc/passwd")') + + def test_attribute_access_blocked(self): + with pytest.raises(ValueError): + _safe_eval('"hello".__class__') + + def test_subscript_blocked(self): + with pytest.raises(ValueError): + _safe_eval('[1,2,3][0]') + + def test_class_subclasses_blocked(self): + with pytest.raises((ValueError, SyntaxError)): + _safe_eval('().__class__.__subclasses__()') + + def test_exec_blocked(self): + with pytest.raises(ValueError): + _safe_eval('exec("import os")') + + def test_eval_blocked(self): + with pytest.raises(ValueError): + _safe_eval('eval("1+1")') + + def test_lambda_blocked(self): + with pytest.raises((ValueError, SyntaxError)): + _safe_eval('lambda: 1') + + def test_variable_reference_blocked(self): + with pytest.raises(ValueError): + _safe_eval('x + 1') diff --git a/uv.lock b/uv.lock index 522e0ca40..9443fb803 100644 --- a/uv.lock +++ b/uv.lock @@ -2,9 +2,12 @@ version = 1 revision = 3 requires-python = ">=3.11, <4.0" resolution-markers = [ - "python_full_version >= '3.14' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.15' and 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23a3c0ece..7a236c7a7 100644 --- a/web/package.json +++ b/web/package.json @@ -46,6 +46,7 @@ "@tailwindcss/postcss": "^4.1.5", "@tanstack/react-table": "^8.21.3", "@vitejs/plugin-react": "^6.0.1", + "@xyflow/react": "^12.10.2", "axios": "^1.15.0", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", @@ -77,7 +78,8 @@ "tailwindcss": "^4.1.5", "uuidjs": "^5.1.0", "vite": "^8.0.5", - "zod": "^3.24.4" + "zod": "^3.24.4", + "zustand": "^5.0.12" }, "devDependencies": { "@types/debug": "^4.1.12", diff --git a/web/pnpm-lock.yaml b/web/pnpm-lock.yaml index 259d537be..6cc3606ce 100644 --- a/web/pnpm-lock.yaml +++ b/web/pnpm-lock.yaml @@ -89,6 +89,9 @@ dependencies: '@vitejs/plugin-react': specifier: ^6.0.1 version: 6.0.1(vite@8.0.8) + '@xyflow/react': + specifier: ^12.10.2 + version: 12.10.2(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1) axios: specifier: ^1.15.0 version: 1.15.0 @@ -185,6 +188,9 @@ dependencies: zod: specifier: ^3.24.4 version: 3.25.76 + zustand: + specifier: ^5.0.12 + version: 5.0.12(@types/react@19.2.10)(react@19.2.1) devDependencies: '@types/debug': @@ -1903,6 +1909,12 @@ packages: resolution: {integrity: sha512-iO90scth9WAbmgv7ogoq57O9YpKmFBbmoEoCHDB2xMBY0+/KVrqAaCDyCE16dUspeOvIxFFRI+0sEtqDqy2b4A==} dev: false + /@types/d3-drag@3.0.7: + resolution: {integrity: sha512-HE3jVKlzU9AaMazNufooRJ5ZpWmLIoc90A37WU2JMmeq28w1FQqCZswHZ3xR+SuxYftzHq6WU6KJHvqxKzTxxQ==} + dependencies: + '@types/d3-selection': 3.0.11 + dev: false + /@types/d3-ease@3.0.2: resolution: {integrity: sha512-NcV1JjO5oDzoK26oMzbILE6HW7uVXOHLQvHshBUW4UMdZGfiY6v5BeQwh9a9tCzv+CeefZQHJt5SRgK154RtiA==} dev: false @@ -1923,6 +1935,10 @@ packages: '@types/d3-time': 3.0.4 dev: false + /@types/d3-selection@3.0.11: + resolution: {integrity: sha512-bhAXu23DJWsrI45xafYpkQ4NtcKMwWnAC/vKrd2l+nxMFuvOT3XMYTIj2opv8vq8AO5Yh7Qac/nSeP/3zjTK0w==} + dev: false + /@types/d3-shape@3.1.8: resolution: {integrity: sha512-lae0iWfcDeR7qt7rA88BNiqdvPS5pFVPpo5OfjElwNaT2yyekbM0C9vK+yqBqEmHr6lDkRnYNoTBYlAgJa7a4w==} dependencies: @@ -1937,6 +1953,19 @@ packages: resolution: {integrity: sha512-Ps3T8E8dZDam6fUyNiMkekK3XUsaUEik+idO9/YjPtfj2qruF8tFBXS7XhtE4iIXBLxhmLjP3SXpLhVf21I9Lw==} dev: false + /@types/d3-transition@3.0.9: + resolution: {integrity: sha512-uZS5shfxzO3rGlu0cC3bjmMFKsXv+SmZZcgp0KD22ts4uGXp5EVYGzu/0YdwZeKmddhcAccYtREJKkPfXkZuCg==} + dependencies: + '@types/d3-selection': 3.0.11 + dev: false + + /@types/d3-zoom@3.0.8: + resolution: {integrity: sha512-iqMC4/YlFCSlO8+2Ii1GGGliCAY4XdeG748w5vQUbevlbDu0zSjH/+jojorQVBK/se0j6DUFNPBGSqD3YWYnDw==} + dependencies: + '@types/d3-interpolate': 3.0.4 + '@types/d3-selection': 3.0.11 + dev: false + /@types/debug@4.1.12: resolution: {integrity: sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ==} dependencies: @@ -2172,6 +2201,36 @@ packages: vite: 8.0.8(@types/node@20.19.30) dev: false + /@xyflow/react@12.10.2(@types/react@19.2.10)(react-dom@19.2.1)(react@19.2.1): + resolution: {integrity: sha512-CgIi6HwlcHXwlkTpr0fxLv/0sRVNZ8IdwKLzzeCscaYBwpvfcH1QFOCeaTCuEn1FQEs/B8CjnTSjhs8udgmBgQ==} + peerDependencies: + react: '>=17' + react-dom: '>=17' + dependencies: + '@xyflow/system': 0.0.76 + classcat: 5.0.5 + react: 19.2.1 + react-dom: 19.2.1(react@19.2.1) + zustand: 4.5.7(@types/react@19.2.10)(react@19.2.1) + transitivePeerDependencies: + - '@types/react' + - immer + dev: false + + /@xyflow/system@0.0.76: + resolution: {integrity: sha512-hvwvnRS1B3REwVDlWexsq7YQaPZeG3/mKo1jv38UmnpWmxihp14bW6VtEOuHEwJX2FvzFw8k77LyKSk/wiZVNA==} + dependencies: + '@types/d3-drag': 3.0.7 + '@types/d3-interpolate': 3.0.4 + '@types/d3-selection': 3.0.11 + '@types/d3-transition': 3.0.9 + '@types/d3-zoom': 3.0.8 + d3-drag: 3.0.0 + d3-interpolate: 3.0.1 + d3-selection: 3.0.0 + d3-zoom: 3.0.0 + dev: false + /acorn-jsx@5.3.2(acorn@8.15.0): resolution: {integrity: sha512-rq9s+JNhf0IChjtDXxllJ7g41oZk5SlXtp0LHwyA5cejwn7vKmKp4pPri6YEePv2PU65sAsegbXtIinmDFDXgQ==} peerDependencies: @@ -2434,6 +2493,10 @@ packages: clsx: 2.1.1 dev: false + /classcat@5.0.5: + resolution: {integrity: sha512-JhZUT7JFcQy/EzW605k/ktHtncoo9vnyW/2GspNYwFlN1C/WmjuV/xtS04e9SOkL2sTdw0VAZ2UGCcQ9lR6p6w==} + dev: false + /cli-cursor@5.0.0: resolution: {integrity: sha512-aCj4O5wKyszjMmDT4tZj93kxyydN/K5zPWSCe6/0AV/AA1pqe5ZBIw0a2ZfPQV7lL5/yb5HsUreJ6UFAF1tEQw==} engines: {node: '>=18'} @@ -2524,6 +2587,19 @@ packages: engines: {node: '>=12'} dev: false + /d3-dispatch@3.0.1: + resolution: {integrity: sha512-rzUyPU/S7rwUflMyLc1ETDeBj0NRuHKKAcvukozwhshr6g6c5d8zh4c2gQjY2bZ0dXeGLWc1PF174P2tVvKhfg==} + engines: {node: '>=12'} + dev: false + + /d3-drag@3.0.0: + resolution: {integrity: sha512-pWbUJLdETVA8lQNJecMxoXfH6x+mO2UQo8rSmZ+QqxcbyA3hfeprFgIT//HW2nlHChWeIIMwS2Fq+gEARkhTkg==} + engines: {node: '>=12'} + dependencies: + d3-dispatch: 3.0.1 + d3-selection: 3.0.0 + dev: false + /d3-ease@3.0.1: resolution: {integrity: sha512-wR/XK3D3XcLIZwpbvQwQ5fK+8Ykds1ip7A2Txe0yxncXSdq1L9skcG7blcedkOX+ZcgxGAmLX1FrRGbADwzi0w==} engines: {node: '>=12'} @@ -2557,6 +2633,11 @@ packages: d3-time-format: 4.1.0 dev: false + /d3-selection@3.0.0: + resolution: {integrity: sha512-fmTRWbNMmsmWq6xJV8D19U/gw/bwrHfNXxrIN+HfZgnzqTHp9jOmKMhsTUjXOJnZOdZY9Q28y4yebKzqDKlxlQ==} + engines: {node: '>=12'} + dev: false + /d3-shape@3.2.0: resolution: {integrity: sha512-SaLBuwGm3MOViRq2ABk3eLoxwZELpH6zhl3FbAoJ7Vm1gofKx6El1Ib5z23NUEhF9AsGl7y+dzLe5Cw2AArGTA==} engines: {node: '>=12'} @@ -2583,6 +2664,31 @@ packages: engines: {node: '>=12'} dev: false + /d3-transition@3.0.1(d3-selection@3.0.0): + resolution: {integrity: sha512-ApKvfjsSR6tg06xrL434C0WydLr7JewBB3V+/39RMHsaXTOG0zmt/OAXeng5M5LBm0ojmxJrpomQVZ1aPvBL4w==} + engines: {node: '>=12'} + peerDependencies: + d3-selection: 2 - 3 + dependencies: + d3-color: 3.1.0 + d3-dispatch: 3.0.1 + d3-ease: 3.0.1 + d3-interpolate: 3.0.1 + d3-selection: 3.0.0 + d3-timer: 3.0.1 + dev: false + + /d3-zoom@3.0.0: + resolution: {integrity: sha512-b8AmV3kfQaqWAuacbPuNbL6vahnOJflOhexLzMMNLga62+/nh0JzvJ0aO/5a5MVgUFGS7Hu1P9P03o3fJkDCyw==} + engines: {node: '>=12'} + dependencies: + d3-dispatch: 3.0.1 + d3-drag: 3.0.0 + d3-interpolate: 3.0.1 + d3-selection: 3.0.0 + d3-transition: 3.0.1(d3-selection@3.0.0) + dev: false + /data-view-buffer@1.0.2: resolution: {integrity: sha512-EmKO5V3OLXh1rtK2wgXRansaK1/mtVdTUEiEI0W8RkvgT05kfxaH29PliLnpLP73yYO6142Q72QNa8Wx/A5CqQ==} engines: {node: '>= 0.4'} @@ -6201,6 +6307,48 @@ packages: resolution: {integrity: sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==} dev: false + /zustand@4.5.7(@types/react@19.2.10)(react@19.2.1): + resolution: {integrity: sha512-CHOUy7mu3lbD6o6LJLfllpjkzhHXSBlX8B9+qPddUsIfeF5S/UZ5q0kmCsnRqT1UHFQZchNFDDzMbQsuesHWlw==} + engines: {node: '>=12.7.0'} + peerDependencies: + '@types/react': '>=16.8' + immer: '>=9.0.6' + react: '>=16.8' + peerDependenciesMeta: + '@types/react': + optional: true + immer: + optional: true + react: + optional: true + dependencies: + '@types/react': 19.2.10 + react: 19.2.1 + use-sync-external-store: 1.6.0(react@19.2.1) + dev: false + + /zustand@5.0.12(@types/react@19.2.10)(react@19.2.1): + resolution: {integrity: sha512-i77ae3aZq4dhMlRhJVCYgMLKuSiZAaUPAct2AksxQ+gOtimhGMdXljRT21P5BNpeT4kXlLIckvkPM029OljD7g==} + engines: {node: '>=12.20.0'} + peerDependencies: + '@types/react': '>=18.0.0' + immer: '>=9.0.6' + react: '>=18.0.0' + use-sync-external-store: '>=1.2.0' + peerDependenciesMeta: + '@types/react': + optional: true + immer: + optional: true + react: + optional: true + use-sync-external-store: + optional: true + dependencies: + '@types/react': 19.2.10 + react: 19.2.1 + dev: false + /zwitch@2.0.4: resolution: {integrity: sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==} dev: false diff --git a/web/src/app/home/bots/components/bot-form/BotForm.tsx b/web/src/app/home/bots/components/bot-form/BotForm.tsx index 2c97e5bef..e420ffec5 100644 --- a/web/src/app/home/bots/components/bot-form/BotForm.tsx +++ b/web/src/app/home/bots/components/bot-form/BotForm.tsx @@ -16,7 +16,7 @@ import { httpClient } from '@/app/infra/http/HttpClient'; import { Bot } from '@/app/infra/entities/api'; import { getAdapterDocUrl } from '@/app/infra/entities/adapter-docs'; import { ExternalLink } from 'lucide-react'; -import RoutingRulesEditor from './RoutingRulesEditor'; +import { UnifiedBindingSelector } from '@/app/home/components/unified-binding-selector'; import { zodResolver } from '@hookform/resolvers/zod'; import { useForm } from 'react-hook-form'; @@ -43,6 +43,7 @@ import { SelectTrigger, SelectValue, } from '@/components/ui/select'; +// SelectGroup used in adapter selector import { Card, CardContent, @@ -64,29 +65,11 @@ const getFormSchema = (t: (key: string) => string) => adapter: z.string().min(1, { message: t('bots.adapterRequired') }), adapter_config: z.record(z.string(), z.any()), enable: z.boolean().optional(), + // New unified binding fields + binding_type: z.enum(['pipeline', 'workflow']).optional(), + binding_uuid: z.string().optional(), + // Legacy fields (kept for backward compatibility, but not used in UI) use_pipeline_uuid: z.string().optional(), - pipeline_routing_rules: z - .array( - z.object({ - type: z.enum([ - 'launcher_type', - 'launcher_id', - 'message_content', - 'message_has_element', - ]), - operator: z.enum([ - 'eq', - 'neq', - 'contains', - 'not_contains', - 'starts_with', - 'regex', - ]), - value: z.string(), - pipeline_uuid: z.string(), - }), - ) - .optional(), }); export default function BotForm({ @@ -111,8 +94,9 @@ export default function BotForm({ adapter: '', adapter_config: {}, enable: true, + binding_type: 'pipeline', + binding_uuid: '', use_pipeline_uuid: '', - pipeline_routing_rules: [], }, }); @@ -178,8 +162,9 @@ export default function BotForm({ adapter: val.adapter, adapter_config: val.adapter_config, enable: val.enable, + binding_type: val.binding_type || 'pipeline', + binding_uuid: val.binding_uuid || val.use_pipeline_uuid || '', use_pipeline_uuid: val.use_pipeline_uuid || '', - pipeline_routing_rules: val.pipeline_routing_rules || [], }); handleAdapterSelect(val.adapter); @@ -294,8 +279,9 @@ export default function BotForm({ name: bot.name, adapter_config: bot.adapter_config, enable: bot.enable ?? true, + binding_type: bot.binding_type ?? 'pipeline', + binding_uuid: bot.binding_uuid ?? bot.use_pipeline_uuid ?? '', use_pipeline_uuid: bot.use_pipeline_uuid ?? '', - pipeline_routing_rules: bot.pipeline_routing_rules ?? [], webhook_full_url: runtimeValues?.webhook_full_url as | string | undefined, @@ -332,15 +318,21 @@ export default function BotForm({ function onDynamicFormSubmit() { setIsLoading(true); if (initBotId) { + const formValues = form.getValues(); const updateBot: Bot = { uuid: initBotId, - name: form.getValues().name, - description: form.getValues().description ?? '', - adapter: form.getValues().adapter, - adapter_config: form.getValues().adapter_config, - enable: form.getValues().enable, - use_pipeline_uuid: form.getValues().use_pipeline_uuid, - pipeline_routing_rules: form.getValues().pipeline_routing_rules ?? [], + name: formValues.name, + description: formValues.description ?? '', + adapter: formValues.adapter, + adapter_config: formValues.adapter_config, + enable: formValues.enable, + binding_type: formValues.binding_type ?? 'pipeline', + binding_uuid: formValues.binding_uuid ?? '', + // Sync use_pipeline_uuid for backward compatibility when binding_type is 'pipeline' + use_pipeline_uuid: + formValues.binding_type === 'pipeline' + ? formValues.binding_uuid + : formValues.use_pipeline_uuid, }; httpClient .updateBot(initBotId, updateBot) @@ -429,74 +421,40 @@ export default function BotForm({ - {/* Card 2: Pipeline Binding (edit mode only) */} + {/* Card 2: Unified Binding (edit mode only) */} {initBotId && ( - {t('bots.routingConnection')} + {t('bots.bindTarget')} - {t('bots.routingConnectionDescription')} + {t('bots.bindTargetDescription')} ( - {t('bots.bindPipeline')} - + { + form.setValue('binding_type', val.type, { + shouldDirty: true, + }); + form.setValue('binding_uuid', val.id ?? '', { + shouldDirty: true, + }); + }} + /> )} /> - - {/* Pipeline Routing Rules */} - )} diff --git a/web/src/app/home/components/dynamic-form/DynamicFormComponent.tsx b/web/src/app/home/components/dynamic-form/DynamicFormComponent.tsx index e714d85b6..2e7ccea98 100644 --- a/web/src/app/home/components/dynamic-form/DynamicFormComponent.tsx +++ b/web/src/app/home/components/dynamic-form/DynamicFormComponent.tsx @@ -12,8 +12,25 @@ import { } from '@/components/ui/form'; import DynamicFormItemComponent from '@/app/home/components/dynamic-form/DynamicFormItemComponent'; import { useEffect, useMemo, useRef, useState } from 'react'; -import { extractI18nObject } from '@/i18n/I18nProvider'; import { useTranslation } from 'react-i18next'; +import i18n from 'i18next'; +import { resolveI18nLabel, maybeTranslateKey } from '@/app/home/workflows/components/workflow-editor/workflow-i18n'; + +// Helper function to translate i18n key if the value is an i18n key string +const translateIfKey = (value: string | undefined): string | undefined => { + if (!value) return value; + const translated = maybeTranslateKey(value); + return translated || value; +}; + +// Helper to extract i18n label and translate if it's an i18n key +const extractAndTranslateI18n = (label: any): string => { + if (!label) return ''; + if (typeof label === 'string') { + return translateIfKey(label) || label; + } + return resolveI18nLabel(label) || ''; +}; import { cn } from '@/lib/utils'; import { Input } from '@/components/ui/input'; import { Button } from '@/components/ui/button'; @@ -34,6 +51,9 @@ function resolveShowIfValue( externalDependentValues?: Record, systemContext?: Record, ): unknown { + if (!field || typeof field !== 'string') { + return undefined; + } if (field.startsWith('__system.')) { const key = field.slice('__system.'.length); return systemContext?.[key]; @@ -200,6 +220,38 @@ export default function DynamicFormComponent({ // Default to a single empty system prompt entry return [{ role: 'system', content: '' }]; } + if ( + item.type === 'string' || + item.type === 'text' || + item.type === 'secret' || + item.type === 'select' || + item.type === 'llm-model-selector' || + item.type === 'embedding-model-selector' || + item.type === 'rerank-model-selector' || + item.type === 'knowledge-base-selector' || + item.type === 'bot-selector' + ) { + return typeof value === 'string' ? value : ''; + } + if ( + item.type === 'array[string]' || + item.type === 'knowledge-base-multi-selector' || + item.type === 'tools-selector' + ) { + return Array.isArray(value) + ? value.filter((item): item is string => typeof item === 'string') + : []; + } + if (item.type === 'boolean') { + return typeof value === 'boolean' ? value : Boolean(value); + } + if (item.type === 'integer' || item.type === 'float') { + return typeof value === 'number' && !Number.isNaN(value) + ? value + : typeof item.default === 'number' + ? item.default + : 0; + } return value; }; @@ -390,7 +442,7 @@ export default function DynamicFormComponent({ return (
-
+
{itemConfigList.map((config) => { if (config.show_if) { const dependValue = resolveShowIfValue( @@ -434,11 +486,13 @@ export default function DynamicFormComponent({ return ( (
- {extractI18nObject(config.label)} + {extractAndTranslateI18n(config.label)} {config.description && (

- {extractI18nObject(config.description)} + {typeof config.description === 'string' + ? (config.description.startsWith('workflows.') ? String(t(config.description)) : translateIfKey(config.description)) + : extractAndTranslateI18n(config.description)}

)}
@@ -489,13 +545,18 @@ export default function DynamicFormComponent({ return ( ( + render={({ field }) => { + // Use the i18n label from config.label (I18nObject), falling back to config.name + const i18nLabel = config.label + ? extractAndTranslateI18n(config.label) + : config.name; + return ( - {extractI18nObject(config.label)}{' '} + {i18nLabel}{' '} {config.required && *} @@ -511,14 +572,20 @@ export default function DynamicFormComponent({ />
- {config.description && ( -

- {extractI18nObject(config.description)} -

- )} + {config.description && (() => { + const desc = config.description; + if (typeof desc === 'string') { + if (desc.startsWith('workflows.')) { + return

{String(t(desc))}

; + } + return

{translateIfKey(desc) || desc}

; + } + return

{extractAndTranslateI18n(desc)}

; + })()} - )} + ); + }} /> ); })} diff --git a/web/src/app/home/components/dynamic-form/DynamicFormItemComponent.tsx b/web/src/app/home/components/dynamic-form/DynamicFormItemComponent.tsx index 51831bdeb..d6488653b 100644 --- a/web/src/app/home/components/dynamic-form/DynamicFormItemComponent.tsx +++ b/web/src/app/home/components/dynamic-form/DynamicFormItemComponent.tsx @@ -3,6 +3,7 @@ import { IDynamicFormItemSchema, IFileConfig, } from '@/app/infra/entities/form/dynamic'; +import type { I18nObject } from '@/app/infra/entities/common'; import { Input } from '@/components/ui/input'; import { Select, @@ -28,7 +29,7 @@ import { } from '@/app/infra/entities/api'; import { toast } from 'sonner'; import { useTranslation } from 'react-i18next'; -import { extractI18nObject } from '@/i18n/I18nProvider'; +import { resolveI18nLabel, maybeTranslateKey } from '@/app/home/workflows/components/workflow-editor/workflow-i18n'; import { Textarea } from '@/components/ui/textarea'; import { Card, CardContent } from '@/components/ui/card'; import { @@ -43,6 +44,7 @@ import { Plus, X, Eye, + EyeOff, Wrench, Trash2, Sparkles, @@ -63,6 +65,31 @@ import { } from '@/components/ui/dropdown-menu'; import ModelsDialog from '@/app/home/components/models-dialog/ModelsDialog'; +const resolveOptionLabel = ( + label: unknown, + fallback: string, +): string => { + if (!label || typeof label !== 'object') return fallback; + return resolveI18nLabel(label as Record | I18nObject) || fallback; +}; + +const getSelectedOptionLabel = ( + options: IDynamicFormItemSchema['options'], + value: unknown, +): string | null => { + if (typeof value !== 'string' || !options?.length) return null; + const matched = options.find((option) => option.name === value); + if (!matched) return null; + return resolveOptionLabel(matched.label, matched.name); +}; + +const resolveModelLabel = (model: { + name: string; + display_name?: string; +}): string => { + return maybeTranslateKey(model.display_name || model.name) || model.display_name || model.name; +}; + export default function DynamicFormItemComponent({ config, field, @@ -88,6 +115,7 @@ export default function DynamicFormItemComponent({ ); const { t } = useTranslation(); const [modelsDialogOpen, setModelsDialogOpen] = useState(false); + const [secretVisible, setSecretVisible] = useState(false); const fetchLlmModels = () => { httpClient @@ -280,7 +308,7 @@ export default function DynamicFormItemComponent({ onClick={() => field.onChange(option.name)} >
- {extractI18nObject(option.label)} + {resolveOptionLabel(option.label, option.name)} {option.name} @@ -292,24 +320,65 @@ export default function DynamicFormItemComponent({
); } - return ; + return ; + + case DynamicFormItemType.SECRET: + const secretValue = typeof field.value === 'string' ? field.value : ''; + const secretPlaceholder = resolveI18nLabel(config.label) || config.name; + return ( +
+ field.onChange(e.target.value)} + onBlur={field.onBlur} + name={field.name} + ref={field.ref} + /> + +
+ ); case DynamicFormItemType.TEXT: - return