diff --git a/README.md b/README.md index a4a5790..dc291d2 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ - +

@@ -24,9 +24,12 @@ A Python SDK for creating and managing data pipelines between Kafka and ClickHou ## Features - Create and manage data pipelines between Kafka and ClickHouse +- Ingest from Kafka topics or OTLP signals (logs, metrics, traces) - Deduplication of events during a time window based on a key - Temporal joins between topics based on a common key with a given time window +- Per-topic Schema Registry integration - Schema validation and configuration management +- Fine-grained resource control per pipeline component ## Installation @@ -41,102 +44,74 @@ pip install glassflow ```python from glassflow.etl import Client -# Initialize GlassFlow client client = Client(host="your-glassflow-etl-url") ``` ### Create a pipeline +The example below uses pipeline version `v3`. See [Migrating from V2 to V3](#migrating-from-v2-to-v3) if you have existing `v2` configurations. + ```python pipeline_config = { - "version": "v2", + "version": "v3", "pipeline_id": "my-pipeline-id", "source": { - "type": "kafka", - "connection_params": { - "brokers": [ - "http://my.kafka.broker:9093" - ], - "protocol": "PLAINTEXT", - "mechanism": "NO_AUTH" - }, - "topics": [ - { - "consumer_group_initial_offset": "latest", - "name": "users", - "deduplication": { - "enabled": True, - "id_field": "event_id", - "id_field_type": "string", - "time_window": "1h" - } - } - ] - }, - "join": { - "enabled": False + "type": "kafka", + "connection_params": { + "brokers": ["http://my.kafka.broker:9093"], + "protocol": "PLAINTEXT", + "mechanism": "NO_AUTH" + }, + "topics": [ + { + "id": "users", + "name": "users", + "consumer_group_initial_offset": "latest", + "deduplication": { + "enabled": True, + "key": "event_id", + "time_window": "1h" + }, + "schema_fields": [ + {"name": "event_id", "type": "string"}, + {"name": "user_id", "type": "string"}, + {"name": "created_at", "type": "string"}, + {"name": "name", "type": "string"}, + {"name": "email", "type": "string"} + ] + } + ] }, + "join": {"enabled": False}, "sink": { - "type": "clickhouse", - "host": "http://my.clickhouse.server", - "port": "9000", - "database": "default", - "username": "default", - "password": "c2VjcmV0", - "secure": False, - "max_batch_size": 1000, - "max_delay_time": "30s", - "table": "users_dedup" - }, - "schema": { - "fields": [ - { - "source_id": "users", - "name": "event_id", - "type": "string", - "column_name": "event_id", - "column_type": "UUID" + "type": "clickhouse", + "source_id": "users", + "connection_params": { + "host": "http://my.clickhouse.server", + "port": "9000", + "database": "default", + "username": "default", + "password": "mysecret", + "secure": False }, - { - "source_id": "users", - "field_name": "user_id", - "column_name": "user_id", - "column_type": "UUID" - }, - { - "source_id": "users", - "name": "created_at", - "type": "string", - "column_name": "created_at", - "column_type": "DateTime" - }, - { - "source_id": "users", - "name": "name", - "type": "string", - "column_name": "name", - "column_type": "String" - }, - { - "source_id": "users", - "name": "email", - "type": "string", - "column_name": "email", - "column_type": "String" - } - ] + "mapping": [ + {"name": "event_id", "column_name": "event_id", "column_type": "UUID"}, + {"name": "user_id", "column_name": "user_id", "column_type": "UUID"}, + {"name": "created_at", "column_name": "created_at", "column_type": "DateTime"}, + {"name": "name", "column_name": "name", "column_type": "String"}, + {"name": "email", "column_name": "email", "column_type": "String"} + ] } } -# Create a pipeline pipeline = client.create_pipeline(pipeline_config) ``` +For full configuration reference — including Schema Registry, joins, OTLP sources, and resource controls — see the [GlassFlow docs](https://docs.glassflow.dev/configuration/pipeline-json-reference). -## Get pipeline +### Get pipeline ```python -# Get a pipeline by ID pipeline = client.get_pipeline("my-pipeline-id") ``` @@ -145,87 +120,67 @@ pipeline = client.get_pipeline("my-pipeline-id") ```python pipelines = client.list_pipelines() for pipeline in pipelines: - print(f"Pipeline ID: {pipeline['pipeline_id']}") - print(f"Name: {pipeline['name']}") - print(f"Transformation Type: {pipeline['transformation_type']}") - print(f"Created At: {pipeline['created_at']}") - print(f"State: {pipeline['state']}") + print(f"Pipeline ID: {pipeline['pipeline_id']}, State: {pipeline['state']}") ``` -### Stop / Terminate / Resume Pipeline +### Stop / Terminate / Resume pipeline ```python pipeline = client.get_pipeline("my-pipeline-id") -pipeline.stop() -print(pipeline.status) -``` -``` -STOPPING +pipeline.stop() # graceful stop → STOPPING +client.stop_pipeline("my-pipeline-id", terminate=True) # ungraceful → TERMINATING +pipeline.resume() # restart → RESUMING ``` -```python -# Stop a pipeline ungracefully (terminate) -client.stop_pipeline("my-pipeline-id", terminate=True) -print(pipeline.status) -``` +### Delete pipeline -``` -TERMINATING -``` +Only stopped or terminated pipelines can be deleted. ```python -pipeline = client.get_pipeline("my-pipeline-id") -pipeline.resume() -print(pipeline.status) -``` - -``` -RESUMING +client.delete_pipeline("my-pipeline-id") +# or +pipeline.delete() ``` -### Delete pipeline +## Migrating from V2 to V3 -Only stopped or terminated pipelines can be deleted. +Pipeline version `v2` has been removed. Use `migrate_pipeline_v2_to_v3()` to convert an existing configuration automatically: ```python -# Delete a pipeline -client.delete_pipeline("my-pipeline-id") +from glassflow.etl import migrate_pipeline_v2_to_v3 -# Or delete via pipeline instance -pipeline.delete() +v3_config = migrate_pipeline_v2_to_v3(v2_config) +pipeline = client.create_pipeline(v3_config) ``` -## Pipeline Configuration +If you prefer to migrate manually, the key changes are: -For detailed information about the pipeline configuration, see [GlassFlow docs](https://docs.glassflow.dev/configuration/pipeline-json-reference). +| Area | V2 | V3 | +|------|----|----| +| `version` | `"v2"` | `"v3"` | +| Topics | no `id` field | `id: ""` required | +| Schema | top-level `schema.fields` block | `source.topics[].schema_fields` per topic | +| Sink connection | flat fields (`host`, `port`, …) at top level | nested `sink.connection_params` object | +| Sink field mapping | top-level `schema.fields` with `source_id` | `sink.mapping` list of `{name, column_name, column_type}` | +| Deduplication key | `id_field` | `key` | +| Join key | `join_key` | `key` | +| Sink password | base64-encoded | plain text | ## Tracking -The SDK includes anonymous usage tracking to help improve the product. Tracking is enabled by default but can be disabled in two ways: +The SDK includes anonymous usage stats collection to help improve the product. It collects non-identifying information such as SDK version, Python version, and feature flags (e.g., whether joins or deduplication are enabled). No personally identifiable information is collected. + +Usage states collection is enabled by default. To disable it: -1. Using an environment variable: ```bash -export GF_TRACKING_ENABLED=false +export GF_USAGESTATS_ENABLED=false ``` -2. Programmatically using the `disable_tracking` method: ```python -from glassflow.etl import Client - -client = Client(host="my-glassflow-host") -client.disable_tracking() +client.disable_usagestats() ``` -The tracking collects anonymous information about: -- SDK version -- Platform (operating system) -- Python version -- Pipeline ID -- Whether joins or deduplication are enabled -- Kafka security protocol, auth mechanism used and whether authentication is disabled -- Errors during pipeline creation and deletion - ## Development ### Setup diff --git a/VERSION b/VERSION index 1981190..fcdb2e1 100644 --- a/VERSION +++ b/VERSION @@ -1 +1 @@ -3.8.0 +4.0.0 diff --git a/src/glassflow/etl/__init__.py b/src/glassflow/etl/__init__.py index ecfd926..88866a7 100644 --- a/src/glassflow/etl/__init__.py +++ b/src/glassflow/etl/__init__.py @@ -11,6 +11,7 @@ SourceConfig, ) from .pipeline import Pipeline +from .utils import migrate_pipeline_v2_to_v3 __all__ = [ "Pipeline", @@ -20,4 +21,5 @@ "SourceConfig", "SinkConfig", "JoinConfig", + "migrate_pipeline_v2_to_v3", ] diff --git a/src/glassflow/etl/client.py b/src/glassflow/etl/client.py index 88c0c34..6fff6b6 100644 --- a/src/glassflow/etl/client.py +++ b/src/glassflow/etl/client.py @@ -136,6 +136,6 @@ def delete_pipeline(self, pipeline_id: str) -> None: """ Pipeline(host=self.host, pipeline_id=pipeline_id).delete() - def disable_tracking(self) -> None: + def disable_usagestats(self) -> None: """Disable tracking of pipeline events.""" self._tracking.enabled = False diff --git a/src/glassflow/etl/models/__init__.py b/src/glassflow/etl/models/__init__.py index 4a65b18..718f54e 100644 --- a/src/glassflow/etl/models/__init__.py +++ b/src/glassflow/etl/models/__init__.py @@ -1,13 +1,5 @@ from .config import GlassFlowConfig from .data_types import ClickhouseDataType, KafkaDataType -from .filter import FilterConfig, FilterConfigPatch -from .join import ( - JoinConfig, - JoinConfigPatch, - JoinOrientation, - JoinSourceConfig, - JoinType, -) from .metadata import MetadataConfig from .pipeline import PipelineConfig, PipelineConfigPatch, PipelineStatus from .resources import ( @@ -20,23 +12,45 @@ StorageResources, TransformResources, ) -from .schema import Schema, SchemaField -from .sink import SinkConfig, SinkConfigPatch, SinkType -from .source import ( +from .sink import ( + ClickhouseConnectionParams, + ClickhouseConnectionParamsPatch, + SinkConfig, + SinkConfigPatch, + SinkFieldMapping, + SinkType, +) +from .source import SourceBaseConfig, SourceBaseConfigPatch, SourceType +from .sources import ( + AnySource, ConsumerGroupOffset, DeduplicationConfig, - DeduplicationConfigPatch, KafkaConnectionParams, KafkaConnectionParamsPatch, + KafkaField, KafkaMechanism, KafkaProtocol, + KafkaSource, + KafkaSourcePatch, + OTLPLogsSource, + OTLPMetricsSource, + OTLPSource, + OTLPTracesSource, + SchemaRegistry, SourceConfig, - SourceConfigPatch, - SourceType, TopicConfig, ) -from .stateless_transformation import ( +from .transforms import ( + DeduplicationConfigPatch, ExpressionConfig, + FilterConfig, + FilterConfigPatch, + JoinConfig, + JoinConfigPatch, + JoinField, + JoinOrientation, + JoinSourceConfig, + JoinType, StatelessTransformationConfig, StatelessTransformationConfigPatch, StatelessTransformationType, @@ -44,47 +58,59 @@ ) __all__ = [ + "AnySource", + "ClickhouseConnectionParams", + "ClickhouseConnectionParamsPatch", "ClickhouseDataType", "ConsumerGroupOffset", "DeduplicationConfig", + "DeduplicationConfigPatch", + "ExpressionConfig", "FilterConfig", "FilterConfigPatch", - "KafkaConnectionParams", - "KafkaDataType", - "KafkaMechanism", - "KafkaProtocol", + "GlassFlowConfig", + "IngestorResources", "JoinConfig", + "JoinConfigPatch", + "JoinField", "JoinOrientation", + "JoinResources", "JoinSourceConfig", "JoinType", + "KafkaConnectionParams", + "KafkaConnectionParamsPatch", + "KafkaDataType", + "KafkaField", + "KafkaMechanism", + "KafkaProtocol", + "KafkaSource", + "KafkaSourcePatch", "MetadataConfig", + "NATSResources", + "OTLPLogsSource", + "OTLPMetricsSource", + "OTLPSource", + "OTLPTracesSource", "PipelineConfig", "PipelineConfigPatch", + "PipelineResourcesConfig", "PipelineStatus", + "Resources", + "SchemaRegistry", "SinkConfig", "SinkConfigPatch", + "SinkFieldMapping", + "SinkResources", "SinkType", - "Schema", - "SchemaField", + "SourceBaseConfig", + "SourceBaseConfigPatch", "SourceConfig", "SourceType", - "TopicConfig", - "GlassFlowConfig", - "SourceConfigPatch", - "KafkaConnectionParamsPatch", - "DeduplicationConfigPatch", - "JoinConfigPatch", "StatelessTransformationConfig", "StatelessTransformationConfigPatch", "StatelessTransformationType", - "ExpressionConfig", + "StorageResources", + "TopicConfig", "Transformation", - "PipelineResourcesConfig", "TransformResources", - "JoinResources", - "NATSResources", - "SinkResources", - "IngestorResources", - "StorageResources", - "Resources", ] diff --git a/src/glassflow/etl/models/pipeline.py b/src/glassflow/etl/models/pipeline.py index a9138f2..ac720ae 100644 --- a/src/glassflow/etl/models/pipeline.py +++ b/src/glassflow/etl/models/pipeline.py @@ -5,14 +5,15 @@ from ..errors import ImmutableResourceError from .base import CaseInsensitiveStrEnum -from .filter import FilterConfig, FilterConfigPatch -from .join import JoinConfig, JoinConfigPatch from .metadata import MetadataConfig from .resources import PipelineResourcesConfig -from .schema import Schema from .sink import SinkConfig, SinkConfigPatch -from .source import SourceConfig, SourceConfigPatch -from .stateless_transformation import ( +from .sources import KafkaSourcePatch, OTLPSource, SourceConfig, SourceConfigPatch +from .transforms import ( + FilterConfig, + FilterConfigPatch, + JoinConfig, + JoinConfigPatch, StatelessTransformationConfig, StatelessTransformationConfigPatch, ) @@ -30,8 +31,14 @@ class PipelineStatus(CaseInsensitiveStrEnum): DELETED = "Deleted" +class PipelineVersion(CaseInsensitiveStrEnum): + V1 = "v1" + V2 = "v2" + V3 = "v3" + + class PipelineConfig(BaseModel): - version: str = Field(default="v2") + version: PipelineVersion = Field(default=PipelineVersion.V3) pipeline_id: str name: Optional[str] = Field(default=None) source: SourceConfig @@ -39,12 +46,23 @@ class PipelineConfig(BaseModel): filter: Optional[FilterConfig] = Field(default=FilterConfig()) metadata: Optional[MetadataConfig] = Field(default=MetadataConfig()) sink: SinkConfig - pipeline_schema: Schema = Field(alias="schema") stateless_transformation: Optional[StatelessTransformationConfig] = Field( default=StatelessTransformationConfig() ) pipeline_resources: Optional[PipelineResourcesConfig] = Field(default=None) + @field_validator("version") + @classmethod + def validate_version(cls, v: PipelineVersion) -> PipelineVersion: + if v in (PipelineVersion.V1, PipelineVersion.V2): + raise ValueError( + f"Pipeline version {v} is no longer supported by this SDK. " + "Please use glassflow-python-sdk<2.0.0 for v1 pipelines, " + "glassflow-python-sdk<4.0.0 for v2 pipelines, " + "or migrate your pipeline configuration to v3." + ) + return v + @field_validator("pipeline_id") @classmethod def validate_pipeline_id(cls, v: str) -> str: @@ -64,56 +82,80 @@ def validate_pipeline_id(cls, v: str) -> str: @model_validator(mode="after") def validate_config(self) -> "PipelineConfig": - """ - Set pipeline name if not provided and validate configuration. - """ - # Set pipeline name if not provided if self.name is None: self.name = self.pipeline_id.replace("-", " ").title() - # Validate schema - topic_names = [topic.name for topic in self.source.topics] - source_ids = topic_names.copy() - if self.stateless_transformation.enabled: - source_ids.append(self.stateless_transformation.id) - for field in self.pipeline_schema.fields: - if field.source_id not in source_ids: + # Build the set of valid source identifiers + if isinstance(self.source, OTLPSource): + if self.join and self.join.enabled: + raise ValueError("join.enabled must be False for OTLP pipelines") + valid_source_ids = {self.source.id} + if self.stateless_transformation and self.stateless_transformation.enabled: + valid_source_ids.add(self.stateless_transformation.id) + else: + # Kafka: prefer explicit id, fall back to name + topic_ids = [topic.effective_id for topic in self.source.topics] + topic_names = [topic.name for topic in self.source.topics] + valid_source_ids = set(dict.fromkeys(topic_ids + topic_names)) + if self.stateless_transformation and self.stateless_transformation.enabled: + valid_source_ids.add(self.stateless_transformation.id) + if self.join and self.join.enabled and self.join.id: + valid_source_ids.add(self.join.id) + + # Validate sink.source_id if provided + if self.sink.source_id is not None: + if self.sink.source_id not in valid_source_ids: raise ValueError( - f"Source '{field.source_id}' does not exist in any topic " - "or is not a stateless transformation id" + f"Sink source_id '{self.sink.source_id}' does not match" + " any known source" ) - # Validate deduplication ID fields + if isinstance(self.source, OTLPSource): + return self + + # Kafka-specific validation + # Build a lookup: topic effective_id -> topic for field-level validation + topic_by_id = {topic.effective_id: topic for topic in self.source.topics} + topic_by_name = {topic.name: topic for topic in self.source.topics} + + # Validate deduplication keys against topic fields (only if fields defined) for topic in self.source.topics: if topic.deduplication is None or not topic.deduplication.enabled: continue - - if not self.pipeline_schema.is_field_in_schema( - topic.deduplication.id_field, topic.name - ): + if topic.schema_fields is None: + continue + field_names = {f.name for f in topic.schema_fields} + if topic.deduplication.key not in field_names: raise ValueError( - f"Deduplication id_field '{topic.deduplication.id_field}' " - f"not found in schema from source '{topic.name}'" + f"Deduplication key '{topic.deduplication.key}' " + f"not found in fields of topic '{topic.name}'" ) - # Validate join configuration + # Validate join keys against topic fields (only if fields defined) if self.join and self.join.enabled: - # Validate each source in the join config + all_topic_identifiers = set( + dict.fromkeys( + [t.effective_id for t in self.source.topics] + + [t.name for t in self.source.topics] + ) + ) for join_source in self.join.sources: - if join_source.source_id not in topic_names: - raise ValueError( - f"Join source '{join_source.source_id}' does not exist in any " - "topic" - ) - - if not self.pipeline_schema.is_field_in_schema( - join_source.join_key, - join_source.source_id, - ): + if join_source.source_id not in all_topic_identifiers: raise ValueError( - f"Join key '{join_source.join_key}' does not exist in source " - f"'{join_source.source_id}' schema" + f"Join source '{join_source.source_id}' does not exist" + " in any topic" ) + # Find the topic + topic = topic_by_id.get(join_source.source_id) or topic_by_name.get( + join_source.source_id + ) + if topic is not None and topic.schema_fields is not None: + field_names = {f.name for f in topic.schema_fields} + if join_source.key not in field_names: + raise ValueError( + f"Join key '{join_source.key}' does not exist in source " + f"'{join_source.source_id}' fields" + ) return self @@ -121,6 +163,11 @@ def _has_deduplication_enabled(self) -> bool: """ Check if the pipeline has deduplication enabled. """ + if isinstance(self.source, OTLPSource): + return ( + self.source.deduplication is not None + and self.source.deduplication.enabled + ) return any( topic.deduplication and topic.deduplication.enabled for topic in self.source.topics @@ -181,10 +228,6 @@ def update(self, config_patch: "PipelineConfigPatch") -> "PipelineConfig": if config_patch.sink is not None: updated_config.sink = updated_config.sink.update(config_patch.sink) - # Update schema if provided - if config_patch.pipeline_schema is not None: - updated_config.pipeline_schema = config_patch.pipeline_schema - if config_patch.metadata is not None: updated_config.metadata = config_patch.metadata @@ -203,7 +246,6 @@ class PipelineConfigPatch(BaseModel): join: Optional[JoinConfigPatch] = Field(default=None) filter: Optional[FilterConfigPatch] = Field(default=None) metadata: Optional[MetadataConfig] = Field(default=None) - pipeline_schema: Optional[Schema] = Field(default=None, alias="schema") sink: Optional[SinkConfigPatch] = Field(default=None) source: Optional[SourceConfigPatch] = Field(default=None) stateless_transformation: Optional[StatelessTransformationConfigPatch] = Field( @@ -216,10 +258,9 @@ def _has_deduplication_disabled(self) -> bool: """ Check if the pipeline has deduplication disabled. """ - disabled = False - if self.source is not None and self.source.topics is not None: - for topic in self.source.topics: - if topic.deduplication and not topic.deduplication.enabled: - disabled = True - break - return disabled + if not isinstance(self.source, KafkaSourcePatch) or self.source.topics is None: + return False + return any( + topic.deduplication and not topic.deduplication.enabled + for topic in self.source.topics + ) diff --git a/src/glassflow/etl/models/schema.py b/src/glassflow/etl/models/schema.py deleted file mode 100644 index ad8a233..0000000 --- a/src/glassflow/etl/models/schema.py +++ /dev/null @@ -1,74 +0,0 @@ -from typing import List, Optional - -from pydantic import BaseModel, Field, model_validator - -from ..errors import InvalidDataTypeMappingError -from .data_types import ( - ClickhouseDataType, - KafkaDataType, - kafka_to_clickhouse_data_type_mappings, -) - - -class SchemaField(BaseModel): - column_name: Optional[str] = Field( - default=None, - description="The name of the column in the sink table. If not provided, " - "the name of the source field will not be mapped to the sink table.", - ) - column_type: Optional[ClickhouseDataType] = Field( - default=None, - description="The data type of the column in the sink table. If not provided, " - "the data type of the source field will not be mapped to the sink table.", - ) - name: str = Field(description="The name of the source field") - source_id: Optional[str] = Field(description="The name of the source topic") - type: KafkaDataType = Field(description="The data type of the source field") - - @model_validator(mode="after") - def validate_schema_field(self) -> "SchemaField": - # Validate not mapped fields - if (self.column_name is None and self.column_type is not None) or ( - self.column_name is not None and self.column_type is None - ): - raise ValueError( - "column_name and column_type must both be provided or both be None" - ) - - # Validate column type compatibility - if self.column_type is not None: - compatible_types = kafka_to_clickhouse_data_type_mappings.get(self.type, []) - if self.column_type not in compatible_types: - raise InvalidDataTypeMappingError( - f"Data type '{self.column_type}' is not compatible with source type" - f" '{self.type}' for field '{self.name}' in source" - f" '{self.source_id}'" - ) - return self - - -class Schema(BaseModel): - fields: List[SchemaField] - - def is_field_in_schema( - self, - field_name: str, - source_id: Optional[str] = None, - ) -> bool: - """ - Check if a field exists in the schema. If source_id is provided, check if the - field exists in the specified source. - - Args: - field_name: The name of the field to check - source_id: The ID of the source to check the field in - - Returns: - True if the field exists in the schema, False otherwise - """ - for field in self.fields: - if field.name == field_name and ( - source_id is None or field.source_id == source_id - ): - return True - return False diff --git a/src/glassflow/etl/models/sink.py b/src/glassflow/etl/models/sink.py index 29ec290..5fcaba4 100644 --- a/src/glassflow/etl/models/sink.py +++ b/src/glassflow/etl/models/sink.py @@ -1,36 +1,33 @@ -from typing import Optional +from typing import List, Optional from pydantic import BaseModel, Field from .base import CaseInsensitiveStrEnum +from .data_types import ClickhouseDataType class SinkType(CaseInsensitiveStrEnum): CLICKHOUSE = "clickhouse" -class SinkConfig(BaseModel): - type: SinkType = SinkType.CLICKHOUSE - provider: Optional[str] = Field(default=None) +class ClickhouseConnectionParams(BaseModel): + """Connection parameters for a ClickHouse sink.""" + host: str port: str - http_port: Optional[str] = Field(default=None) + http_port: Optional[str] = None database: str username: str password: str - secure: bool = Field(default=False) - skip_certificate_verification: bool = Field(default=False) - max_batch_size: int = Field(default=1000) - max_delay_time: str = Field(default="10m") - table: str + secure: bool = False + skip_certificate_verification: bool = False - def update(self, patch: "SinkConfigPatch") -> "SinkConfig": - """Apply a patch to this sink config.""" + def update( + self, patch: "ClickhouseConnectionParamsPatch" + ) -> "ClickhouseConnectionParams": + """Apply a patch to this connection params config.""" update_dict = self.model_copy(deep=True) - # Check each field explicitly to handle model instances properly - if patch.provider is not None: - update_dict.provider = patch.provider if patch.host is not None: update_dict.host = patch.host if patch.port is not None: @@ -49,18 +46,50 @@ def update(self, patch: "SinkConfigPatch") -> "SinkConfig": update_dict.skip_certificate_verification = ( patch.skip_certificate_verification ) + + return update_dict + + +class SinkFieldMapping(BaseModel): + """Mapping from an upstream field to a ClickHouse table column.""" + + name: str + column_name: str + column_type: ClickhouseDataType + + +class SinkConfig(BaseModel): + type: SinkType = SinkType.CLICKHOUSE + connection_params: ClickhouseConnectionParams + table: str + max_batch_size: Optional[int] = Field(default=None) + max_delay_time: Optional[str] = Field(default=None) + source_id: Optional[str] = Field(default=None) + mapping: Optional[List[SinkFieldMapping]] = Field(default=None) + + def update(self, patch: "SinkConfigPatch") -> "SinkConfig": + """Apply a patch to this sink config.""" + update_dict = self.model_copy(deep=True) + + if patch.connection_params is not None: + update_dict.connection_params = self.connection_params.update( + patch.connection_params + ) + if patch.table is not None: + update_dict.table = patch.table if patch.max_batch_size is not None: update_dict.max_batch_size = patch.max_batch_size if patch.max_delay_time is not None: update_dict.max_delay_time = patch.max_delay_time - if patch.table is not None: - update_dict.table = patch.table + if patch.source_id is not None: + update_dict.source_id = patch.source_id + if patch.mapping is not None: + update_dict.mapping = patch.mapping return update_dict -class SinkConfigPatch(BaseModel): - provider: Optional[str] = Field(default=None) +class ClickhouseConnectionParamsPatch(BaseModel): host: Optional[str] = Field(default=None) port: Optional[str] = Field(default=None) http_port: Optional[str] = Field(default=None) @@ -69,6 +98,12 @@ class SinkConfigPatch(BaseModel): password: Optional[str] = Field(default=None) secure: Optional[bool] = Field(default=None) skip_certificate_verification: Optional[bool] = Field(default=None) + + +class SinkConfigPatch(BaseModel): + connection_params: Optional[ClickhouseConnectionParamsPatch] = Field(default=None) + table: Optional[str] = Field(default=None) max_batch_size: Optional[int] = Field(default=None) max_delay_time: Optional[str] = Field(default=None) - table: Optional[str] = Field(default=None) + source_id: Optional[str] = Field(default=None) + mapping: Optional[List[SinkFieldMapping]] = Field(default=None) diff --git a/src/glassflow/etl/models/source.py b/src/glassflow/etl/models/source.py index c642a65..39d041e 100644 --- a/src/glassflow/etl/models/source.py +++ b/src/glassflow/etl/models/source.py @@ -1,196 +1,26 @@ -from typing import Any, List, Optional +from typing import Optional -from pydantic import BaseModel, Field, field_validator, model_validator +from pydantic import BaseModel, Field from .base import CaseInsensitiveStrEnum -from .data_types import KafkaDataType - - -class KafkaProtocol(CaseInsensitiveStrEnum): - SSL = "SSL" - SASL_SSL = "SASL_SSL" - SASL_PLAINTEXT = "SASL_PLAINTEXT" - PLAINTEXT = "PLAINTEXT" - - -class KafkaMechanism(CaseInsensitiveStrEnum): - SCRAM_SHA_256 = "SCRAM-SHA-256" - SCRAM_SHA_512 = "SCRAM-SHA-512" - PLAIN = "PLAIN" - GSSAPI = "GSSAPI" - NO_AUTH = "NO_AUTH" - - -class DeduplicationConfig(BaseModel): - enabled: bool = False - id_field: Optional[str] = Field(default=None) - id_field_type: Optional[KafkaDataType] = Field(default=None) - time_window: Optional[str] = Field(default=None) - - def update(self, patch: "DeduplicationConfigPatch") -> "DeduplicationConfig": - """Apply a patch to this deduplication config.""" - update_dict: dict[str, Any] = {} - - # Check each field explicitly - use model_fields_set to distinguish - # between "not provided" and "set to None" - fields_set = ( - patch.model_fields_set if hasattr(patch, "model_fields_set") else set() - ) - - if "enabled" in fields_set or patch.enabled is not None: - update_dict["enabled"] = patch.enabled - if "id_field" in fields_set: - update_dict["id_field"] = patch.id_field - if "id_field_type" in fields_set: - update_dict["id_field_type"] = patch.id_field_type - if "time_window" in fields_set: - update_dict["time_window"] = patch.time_window - - if update_dict: - return self.model_copy(update=update_dict) - return self - - @model_validator(mode="before") - @classmethod - def validate_deduplication_fields(cls, values): - """Validate deduplication fields based on enabled status.""" - if isinstance(values, dict): - enabled = values.get("enabled", False) - - # If deduplication is disabled, allow empty strings - if not enabled: - # Convert empty strings to None for enum fields - if values.get("id_field_type") == "": - values["id_field_type"] = None - if values.get("id_field") == "": - values["id_field"] = None - if values.get("time_window") == "": - values["time_window"] = None - else: - # If enabled, ensure required fields are present and not empty - for field_name in ["id_field", "id_field_type", "time_window"]: - field_value = values.get(field_name) - if field_value is None or field_value == "": - raise ValueError( - f"{field_name} is required when deduplication is enabled" - ) - - # Validate id_field_type is a valid type when enabled - id_field_type = values.get("id_field_type") - if id_field_type not in [KafkaDataType.STRING, KafkaDataType.INT]: - raise ValueError( - "id_field_type must be a string or int when " - "deduplication is enabled" - ) - - return values - - -class ConsumerGroupOffset(CaseInsensitiveStrEnum): - LATEST = "latest" - EARLIEST = "earliest" - - -class TopicConfig(BaseModel): - consumer_group_initial_offset: ConsumerGroupOffset = ConsumerGroupOffset.LATEST - name: str - deduplication: Optional[DeduplicationConfig] = Field(default=DeduplicationConfig()) - replicas: Optional[int] = Field( - default=1, - deprecated="Use pipeline_resources.ingestor..replicas instead", - ) - - @field_validator("replicas") - @classmethod - def validate_replicas(cls, v: int) -> int: - if v < 1: - raise ValueError("Replicas must be at least 1") - return v - - -class KafkaConnectionParams(BaseModel): - brokers: List[str] - protocol: KafkaProtocol - mechanism: Optional[KafkaMechanism] = Field(default=None) - username: Optional[str] = Field(default=None) - password: Optional[str] = Field(default=None) - root_ca: Optional[str] = Field(default=None) - kerberos_service_name: Optional[str] = Field(default=None) - kerberos_keytab: Optional[str] = Field(default=None) - kerberos_realm: Optional[str] = Field(default=None) - kerberos_config: Optional[str] = Field(default=None) - skip_tls_verification: bool = Field(default=False) - - @model_validator(mode="before") - def empty_str_to_none(values): - if values.get("mechanism", None) == "": - values["mechanism"] = None - return values - - def update(self, patch: "KafkaConnectionParamsPatch") -> "KafkaConnectionParams": - """Apply a patch to this connection params config.""" - current_dict = self.model_dump() - patch_dict = patch.model_dump(exclude_none=True) - merged_dict = {**current_dict, **patch_dict} - return KafkaConnectionParams.model_validate(merged_dict) class SourceType(CaseInsensitiveStrEnum): KAFKA = "kafka" + OTLP_LOGS = "otlp.logs" + OTLP_METRICS = "otlp.metrics" + OTLP_TRACES = "otlp.traces" -class SourceConfig(BaseModel): - type: SourceType = SourceType.KAFKA - provider: Optional[str] = Field(default=None) - connection_params: KafkaConnectionParams - topics: List[TopicConfig] - - def update(self, patch: "SourceConfigPatch") -> "SourceConfig": - """Apply a patch to this source config.""" - update_dict = self.model_copy(deep=True) - - if patch.type is not None: - update_dict.type = patch.type - if patch.provider is not None: - update_dict.provider = patch.provider - - # Handle connection_params patch - if patch.connection_params is not None: - update_dict.connection_params = self.connection_params.update( - patch.connection_params - ) - - # Handle topics patch - full replacement only if provided - if patch.topics is not None: - update_dict.topics = patch.topics - - return update_dict - - -class DeduplicationConfigPatch(BaseModel): - enabled: Optional[bool] = Field(default=None) - id_field: Optional[str] = Field(default=None) - id_field_type: Optional[KafkaDataType] = Field(default=None) - time_window: Optional[str] = Field(default=None) +class SourceBaseConfig(BaseModel): + """Source config.""" + type: Optional[SourceType] = Field(default=None) + id: Optional[str] = Field(default=None) -class KafkaConnectionParamsPatch(BaseModel): - brokers: Optional[List[str]] = Field(default=None) - protocol: Optional[KafkaProtocol] = Field(default=None) - mechanism: Optional[KafkaMechanism] = Field(default=None) - username: Optional[str] = Field(default=None) - password: Optional[str] = Field(default=None) - root_ca: Optional[str] = Field(default=None) - kerberos_service_name: Optional[str] = Field(default=None) - kerberos_keytab: Optional[str] = Field(default=None) - kerberos_realm: Optional[str] = Field(default=None) - kerberos_config: Optional[str] = Field(default=None) - skip_tls_verification: Optional[bool] = Field(default=None) +class SourceBaseConfigPatch(BaseModel): + """Patch model source config.""" -class SourceConfigPatch(BaseModel): type: Optional[SourceType] = Field(default=None) - provider: Optional[str] = Field(default=None) - connection_params: Optional[KafkaConnectionParamsPatch] = Field(default=None) - # Full replacement only; users must provide complete TopicConfig entries - topics: Optional[List[TopicConfig]] = Field(default=None) + id: Optional[str] = Field(default=None) diff --git a/src/glassflow/etl/models/sources/__init__.py b/src/glassflow/etl/models/sources/__init__.py new file mode 100644 index 0000000..f9b4f9d --- /dev/null +++ b/src/glassflow/etl/models/sources/__init__.py @@ -0,0 +1,79 @@ +"""Source models package. + +SourceConfig is a Pydantic discriminated union that routes to the correct +concrete class based on the `type` field: + - "kafka" → KafkaSource + - "otlp.logs" → OTLPLogsSource + - "otlp.metrics" → OTLPMetricsSource + - "otlp.traces" → OTLPTracesSource + +Use isinstance(source, OTLPSource) to check for any OTLP type. +""" + +from typing import Annotated, Union + +from pydantic import Field # noqa: F401 + +from ..source import SourceBaseConfig, SourceBaseConfigPatch, SourceType +from .kafka import ( + ConsumerGroupOffset, + DeduplicationConfig, + KafkaConnectionParams, + KafkaConnectionParamsPatch, + KafkaField, + KafkaMechanism, + KafkaProtocol, + KafkaSource, + KafkaSourcePatch, + SchemaRegistry, + TopicConfig, +) +from .otlp import ( + OTLPLogsSource, + OTLPMetricsSource, + OTLPSource, + OTLPSourcePatch, + OTLPTracesSource, +) + +# Discriminated union — Pydantic resolves the concrete class via the `type` field. +SourceConfig = Annotated[ + Union[KafkaSource, OTLPLogsSource, OTLPMetricsSource, OTLPTracesSource], + Field(discriminator="type"), +] + +SourceConfigPatch = Union[KafkaSourcePatch, OTLPSourcePatch] + +# Convenience alias +AnySource = SourceConfig +AnySourcePatch = SourceConfigPatch + +__all__ = [ + # Base + "SourceType", + "SourceBaseConfig", + "SourceBaseConfigPatch", + # Kafka + "ConsumerGroupOffset", + "DeduplicationConfig", + "KafkaConnectionParams", + "KafkaConnectionParamsPatch", + "KafkaField", + "KafkaMechanism", + "KafkaProtocol", + "KafkaSource", + "KafkaSourcePatch", + "SchemaRegistry", + "TopicConfig", + # OTLP + "OTLPLogsSource", + "OTLPMetricsSource", + "OTLPSource", + "OTLPSourcePatch", + "OTLPTracesSource", + # Union + "AnySource", + "SourceConfig", + "SourceConfigPatch", + "AnySourcePatch", +] diff --git a/src/glassflow/etl/models/sources/kafka.py b/src/glassflow/etl/models/sources/kafka.py new file mode 100644 index 0000000..fd97ec9 --- /dev/null +++ b/src/glassflow/etl/models/sources/kafka.py @@ -0,0 +1,160 @@ +"""Kafka source models.""" + +from typing import List, Literal, Optional + +from pydantic import BaseModel, Field, field_validator, model_validator + +from ..base import CaseInsensitiveStrEnum +from ..data_types import KafkaDataType +from ..source import SourceBaseConfig, SourceBaseConfigPatch, SourceType +from ..transforms.deduplication import DeduplicationConfig # noqa: F401 — re-exported + + +class KafkaProtocol(CaseInsensitiveStrEnum): + SSL = "SSL" + SASL_SSL = "SASL_SSL" + SASL_PLAINTEXT = "SASL_PLAINTEXT" + PLAINTEXT = "PLAINTEXT" + + +class KafkaMechanism(CaseInsensitiveStrEnum): + SCRAM_SHA_256 = "SCRAM-SHA-256" + SCRAM_SHA_512 = "SCRAM-SHA-512" + PLAIN = "PLAIN" + GSSAPI = "GSSAPI" + NO_AUTH = "NO_AUTH" + + +class SchemaRegistry(BaseModel): + """Schema registry configuration for a Kafka topic (V3).""" + + url: str + api_key: str + api_secret: str + + +class ConsumerGroupOffset(CaseInsensitiveStrEnum): + LATEST = "latest" + EARLIEST = "earliest" + + +class KafkaField(BaseModel): + """A field in a Kafka topic schema.""" + + name: str + type: KafkaDataType + + +class TopicConfig(BaseModel): + consumer_group_initial_offset: ConsumerGroupOffset = ConsumerGroupOffset.LATEST + name: str + # V3: each topic has an explicit id (referenced by downstream source_id fields) + id: Optional[str] = Field(default=None) + deduplication: Optional[DeduplicationConfig] = Field(default=DeduplicationConfig()) + replicas: Optional[int] = Field( + default=1, + deprecated="Use pipeline_resources.ingestor..replicas instead", + ) + schema_registry: Optional[SchemaRegistry] = Field(default=None) + schema_version: Optional[str] = Field(default=None) + schema_fields: Optional[List[KafkaField]] = Field(default=None) + + @field_validator("replicas") + @classmethod + def validate_replicas(cls, v: int) -> int: + if v < 1: + raise ValueError("Replicas must be at least 1") + return v + + @model_validator(mode="after") + def validate_schema_registry_requires_version(self) -> "TopicConfig": + """Validate that schema_version is set when schema_registry is provided.""" + if self.schema_registry is not None and self.schema_version is None: + raise ValueError( + "schema_version is required when schema_registry is provided" + ) + return self + + @property + def effective_id(self) -> str: + """Return the topic id if explicitly set, otherwise fall back to name.""" + return self.id if self.id is not None else self.name + + +class KafkaConnectionParams(BaseModel): + brokers: List[str] + protocol: KafkaProtocol + mechanism: Optional[KafkaMechanism] = Field(default=None) + username: Optional[str] = Field(default=None) + password: Optional[str] = Field(default=None) + root_ca: Optional[str] = Field(default=None) + kerberos_service_name: Optional[str] = Field(default=None) + kerberos_keytab: Optional[str] = Field(default=None) + kerberos_realm: Optional[str] = Field(default=None) + kerberos_config: Optional[str] = Field(default=None) + skip_tls_verification: bool = Field(default=False) + + @model_validator(mode="before") + def empty_str_to_none(values): + if values.get("mechanism", None) == "": + values["mechanism"] = None + return values + + def update(self, patch: "KafkaConnectionParamsPatch") -> "KafkaConnectionParams": + """Apply a patch to this connection params config.""" + current_dict = self.model_dump() + patch_dict = patch.model_dump(exclude_none=True) + merged_dict = {**current_dict, **patch_dict} + return KafkaConnectionParams.model_validate(merged_dict) + + +class KafkaSource(SourceBaseConfig): + """Kafka source configuration.""" + + type: Literal[SourceType.KAFKA] = SourceType.KAFKA + provider: Optional[str] = Field(default=None) + connection_params: KafkaConnectionParams + topics: List[TopicConfig] + + def update(self, patch: "KafkaSourcePatch") -> "KafkaSource": + """Apply a patch to this source config.""" + update_dict = self.model_copy(deep=True) + + if patch.provider is not None: + update_dict.provider = patch.provider + + if patch.connection_params is not None: + update_dict.connection_params = self.connection_params.update( + patch.connection_params + ) + + if patch.topics is not None: + update_dict.topics = patch.topics + + return update_dict + + +# Patch models + + +class KafkaConnectionParamsPatch(BaseModel): + brokers: Optional[List[str]] = Field(default=None) + protocol: Optional[KafkaProtocol] = Field(default=None) + mechanism: Optional[KafkaMechanism] = Field(default=None) + username: Optional[str] = Field(default=None) + password: Optional[str] = Field(default=None) + root_ca: Optional[str] = Field(default=None) + kerberos_service_name: Optional[str] = Field(default=None) + kerberos_keytab: Optional[str] = Field(default=None) + kerberos_realm: Optional[str] = Field(default=None) + kerberos_config: Optional[str] = Field(default=None) + skip_tls_verification: Optional[bool] = Field(default=None) + + +class KafkaSourcePatch(SourceBaseConfigPatch): + """Patch model for KafkaSource.""" + + provider: Optional[str] = Field(default=None) + connection_params: Optional[KafkaConnectionParamsPatch] = Field(default=None) + # Full replacement only; users must provide complete TopicConfig entries + topics: Optional[List[TopicConfig]] = Field(default=None) diff --git a/src/glassflow/etl/models/sources/otlp.py b/src/glassflow/etl/models/sources/otlp.py new file mode 100644 index 0000000..155fb50 --- /dev/null +++ b/src/glassflow/etl/models/sources/otlp.py @@ -0,0 +1,41 @@ +"""OTLP source models.""" + +from typing import Literal, Optional + +from pydantic import Field + +from ..source import SourceBaseConfig, SourceBaseConfigPatch, SourceType +from ..transforms.deduplication import DeduplicationConfig + + +class OTLPSource(SourceBaseConfig): + """Base class for all OTLP source types (V3). + + Use OTLPLogsSource, OTLPMetricsSource, or OTLPTracesSource for construction. + isinstance(source, OTLPSource) returns True for all three concrete types. + """ + + id: str # required for OTLP (overrides Optional[str] from SourceBaseConfig) + deduplication: Optional[DeduplicationConfig] = Field(default=None) + + +class OTLPLogsSource(OTLPSource): + """OTLP logs source (type: otlp.logs).""" + + type: Literal[SourceType.OTLP_LOGS] = SourceType.OTLP_LOGS + + +class OTLPMetricsSource(OTLPSource): + """OTLP metrics source (type: otlp.metrics).""" + + type: Literal[SourceType.OTLP_METRICS] = SourceType.OTLP_METRICS + + +class OTLPTracesSource(OTLPSource): + """OTLP traces source (type: otlp.traces).""" + + type: Literal[SourceType.OTLP_TRACES] = SourceType.OTLP_TRACES + + +class OTLPSourcePatch(SourceBaseConfigPatch): + pass diff --git a/src/glassflow/etl/models/transforms/__init__.py b/src/glassflow/etl/models/transforms/__init__.py new file mode 100644 index 0000000..3467f4e --- /dev/null +++ b/src/glassflow/etl/models/transforms/__init__.py @@ -0,0 +1,35 @@ +from .deduplication import DeduplicationConfig, DeduplicationConfigPatch +from .filter import FilterConfig, FilterConfigPatch +from .join import ( + JoinConfig, + JoinConfigPatch, + JoinField, + JoinOrientation, + JoinSourceConfig, + JoinType, +) +from .stateless_transformation import ( + ExpressionConfig, + StatelessTransformationConfig, + StatelessTransformationConfigPatch, + StatelessTransformationType, + Transformation, +) + +__all__ = [ + "DeduplicationConfig", + "DeduplicationConfigPatch", + "FilterConfig", + "FilterConfigPatch", + "JoinConfig", + "JoinConfigPatch", + "JoinField", + "JoinOrientation", + "JoinSourceConfig", + "JoinType", + "ExpressionConfig", + "StatelessTransformationConfig", + "StatelessTransformationConfigPatch", + "StatelessTransformationType", + "Transformation", +] diff --git a/src/glassflow/etl/models/transforms/deduplication.py b/src/glassflow/etl/models/transforms/deduplication.py new file mode 100644 index 0000000..5332f6b --- /dev/null +++ b/src/glassflow/etl/models/transforms/deduplication.py @@ -0,0 +1,57 @@ +from typing import Any, Optional + +from pydantic import BaseModel, Field, model_validator + + +class DeduplicationConfig(BaseModel): + """Deduplication configuration shared across all source types.""" + + enabled: bool = False + key: Optional[str] = Field(default=None) + time_window: Optional[str] = Field(default=None) + + @model_validator(mode="before") + @classmethod + def normalize_fields(cls, values): + if not isinstance(values, dict): + return values + + enabled = values.get("enabled", False) + + if not enabled: + if values.get("key") == "": + values["key"] = None + if values.get("time_window") == "": + values["time_window"] = None + else: + if not values.get("key"): + raise ValueError("key is required when deduplication is enabled") + if not values.get("time_window"): + raise ValueError( + "time_window is required when deduplication is enabled" + ) + + return values + + def update(self, patch: "DeduplicationConfigPatch") -> "DeduplicationConfig": + update_dict: dict[str, Any] = {} + fields_set = ( + patch.model_fields_set if hasattr(patch, "model_fields_set") else set() + ) + + if "enabled" in fields_set or patch.enabled is not None: + update_dict["enabled"] = patch.enabled + if "key" in fields_set: + update_dict["key"] = patch.key + if "time_window" in fields_set: + update_dict["time_window"] = patch.time_window + + if update_dict: + return self.model_copy(update=update_dict) + return self + + +class DeduplicationConfigPatch(BaseModel): + enabled: Optional[bool] = Field(default=None) + key: Optional[str] = Field(default=None) + time_window: Optional[str] = Field(default=None) diff --git a/src/glassflow/etl/models/filter.py b/src/glassflow/etl/models/transforms/filter.py similarity index 91% rename from src/glassflow/etl/models/filter.py rename to src/glassflow/etl/models/transforms/filter.py index 7d63dca..1a4cb38 100644 --- a/src/glassflow/etl/models/filter.py +++ b/src/glassflow/etl/models/transforms/filter.py @@ -11,7 +11,6 @@ def update(self, patch: "FilterConfigPatch") -> "FilterConfig": """Apply a patch to this filter config.""" update_dict = self.model_copy(deep=True) - # Check each field explicitly to handle model instances properly if patch.enabled is not None: update_dict.enabled = patch.enabled if patch.expression is not None: diff --git a/src/glassflow/etl/models/join.py b/src/glassflow/etl/models/transforms/join.py similarity index 70% rename from src/glassflow/etl/models/join.py rename to src/glassflow/etl/models/transforms/join.py index e0e697f..9b6850c 100644 --- a/src/glassflow/etl/models/join.py +++ b/src/glassflow/etl/models/transforms/join.py @@ -2,7 +2,7 @@ from pydantic import BaseModel, Field, ValidationInfo, field_validator -from .base import CaseInsensitiveStrEnum +from ..base import CaseInsensitiveStrEnum class JoinOrientation(CaseInsensitiveStrEnum): @@ -10,9 +10,17 @@ class JoinOrientation(CaseInsensitiveStrEnum): RIGHT = "right" +class JoinField(BaseModel): + """Selects a single field from a join source to include in the output (V3).""" + + source_id: str + name: str + output_name: Optional[str] = Field(default=None) + + class JoinSourceConfig(BaseModel): source_id: str - join_key: str + key: str time_window: str orientation: JoinOrientation @@ -25,8 +33,11 @@ class JoinConfig(BaseModel): """Configuration for joining multiple sources.""" enabled: bool = False + id: Optional[str] = None type: Optional[JoinType] = None sources: Optional[List[JoinSourceConfig]] = None + # V3: optional field selection for join output + fields: Optional[List[JoinField]] = Field(default=None) @field_validator("sources") @classmethod @@ -64,21 +75,37 @@ def validate_type( raise ValueError("type is required when join is enabled") return v + @field_validator("fields") + @classmethod + def validate_fields( + cls, v: Optional[List[JoinField]], info: ValidationInfo + ) -> Optional[List[JoinField]]: + """Validate that type is required when join is enabled.""" + if info.data.get("enabled", False) and not v: + raise ValueError("fields is required when join is enabled") + return v + def update(self, patch: "JoinConfigPatch") -> "JoinConfig": """Apply a patch to this join config.""" update_dict = self.model_copy(deep=True) if patch.enabled is not None: update_dict.enabled = patch.enabled + if patch.id is not None: + update_dict.id = patch.id if patch.type is not None: update_dict.type = patch.type if patch.sources is not None: update_dict.sources = patch.sources + if patch.fields is not None: + update_dict.fields = patch.fields return update_dict class JoinConfigPatch(BaseModel): enabled: Optional[bool] = Field(default=None) + id: Optional[str] = Field(default=None) type: Optional[JoinType] = Field(default=None) sources: Optional[List[JoinSourceConfig]] = Field(default=None) + fields: Optional[List[JoinField]] = Field(default=None) diff --git a/src/glassflow/etl/models/stateless_transformation.py b/src/glassflow/etl/models/transforms/stateless_transformation.py similarity index 88% rename from src/glassflow/etl/models/stateless_transformation.py rename to src/glassflow/etl/models/transforms/stateless_transformation.py index 5568488..ba589e3 100644 --- a/src/glassflow/etl/models/stateless_transformation.py +++ b/src/glassflow/etl/models/transforms/stateless_transformation.py @@ -2,7 +2,7 @@ from pydantic import BaseModel, Field, model_validator -from .base import CaseInsensitiveStrEnum +from ..base import CaseInsensitiveStrEnum class StatelessTransformationType(CaseInsensitiveStrEnum): @@ -33,6 +33,10 @@ class StatelessTransformationConfig(BaseModel): description="The type of the stateless transformation", default=StatelessTransformationType.EXPRESSION, ) + # V3: the upstream source_id this transformation reads from + source_id: Optional[str] = Field( + description="The source_id this transformation reads from (V3)", default=None + ) config: Optional[ExpressionConfig] = Field( description="The configuration of the stateless transformation", default=None ) @@ -71,6 +75,8 @@ def update( update_dict.id = patch.id if patch.type is not None: update_dict.type = patch.type + if patch.source_id is not None: + update_dict.source_id = patch.source_id if patch.config is not None: update_dict.config = patch.config @@ -81,4 +87,5 @@ class StatelessTransformationConfigPatch(BaseModel): enabled: Optional[bool] = Field(default=None) id: Optional[str] = Field(default=None) type: Optional[StatelessTransformationType] = Field(default=None) + source_id: Optional[str] = Field(default=None) config: Optional[ExpressionConfig] = Field(default=None) diff --git a/src/glassflow/etl/pipeline.py b/src/glassflow/etl/pipeline.py index 4409afd..4fd2e5b 100644 --- a/src/glassflow/etl/pipeline.py +++ b/src/glassflow/etl/pipeline.py @@ -54,9 +54,19 @@ def __init__( self._dlq = DLQ(pipeline_id=self.pipeline_id, host=host) self.status: models.PipelineStatus | None = None - def get(self) -> Pipeline: + def get( + self, + schema_versions: dict[str, str] | None = None, + ) -> Pipeline: """Fetch a pipeline by its ID. + Args: + schema_versions: Optional mapping of source ID to schema version ID. + When provided, the returned config will use the specified schema + versions instead of the latest ones. + Format: ``{"sourceId": "versionId"}``. + Only applies to sources that use a schema registry. + Returns: Pipeline: A Pipeline instance for the given ID @@ -64,8 +74,17 @@ def get(self) -> Pipeline: PipelineNotFoundError: If pipeline is not found APIError: If the API request fails """ + kwargs: dict = {} + if schema_versions: + kwargs["params"] = [ + ("schema", f"{sid}:{vid}") for sid, vid in schema_versions.items() + ] + response = self._request( - "GET", f"{self.ENDPOINT}/{self.pipeline_id}", event_name="PipelineGet" + "GET", + f"{self.ENDPOINT}/{self.pipeline_id}", + event_name="PipelineGet", + **kwargs, ) self.config = models.PipelineConfig.model_validate(response.json()) self.health() diff --git a/src/glassflow/etl/tracking.py b/src/glassflow/etl/tracking.py index 2d8146c..060eed8 100644 --- a/src/glassflow/etl/tracking.py +++ b/src/glassflow/etl/tracking.py @@ -13,7 +13,7 @@ class Tracking: def __init__(self, distinct_id: str) -> None: """Initialize the tracking client""" - self.enabled = os.getenv("GF_TRACKING_ENABLED", "true").lower() == "true" + self.enabled = os.getenv("GF_USAGESTATS_ENABLED", "true").lower() == "true" self._project_token = "209670ec9b352915013a5dfdb169dd25" self._distinct_id = distinct_id self.client = mixpanel.Mixpanel(self._project_token) diff --git a/src/glassflow/etl/utils.py b/src/glassflow/etl/utils.py index 93190fc..9ca111a 100644 --- a/src/glassflow/etl/utils.py +++ b/src/glassflow/etl/utils.py @@ -1,35 +1,120 @@ +import copy from typing import Any from . import models -def migrate_pipeline_v1_to_v2(pipeline: dict[str, Any]) -> models.PipelineConfig: - """Migrate a pipeline from v1 to v2.""" - schema_fields = {} - for topic in pipeline["source"]["topics"]: - for field in topic["schema"]["fields"]: - schema_fields[f"{topic['name']}_{field['name']}"] = { - "source_id": topic["name"], - "name": field["name"], - "type": field["type"], +def migrate_pipeline_v2_to_v3(pipeline: dict[str, Any]) -> models.PipelineConfig: + """Migrate a pipeline configuration from v2 to v3. + + Changes applied: + - version: "v2" → "v3" + - top-level ``schema.fields`` split into per-topic ``source.topics[].schema_fields`` + (source field names/types) and ``sink.mapping`` (column mapping) + - topic deduplication: ``id_field`` → ``key``, ``id_field_type`` removed + - join sources: ``join_key`` → ``key``, ``join_key_type`` removed + - join: ``fields`` populated from top-level ``schema.fields`` (one entry per field + per join source) + - sink: flat connection fields (host, port, …) → nested ``connection_params`` + - sink: ``source_id`` derived from stateless transformation, join, or topic name + - top-level ``schema`` key removed + + Args: + pipeline: V2 pipeline configuration as a plain dict. + + Returns: + PipelineConfig: Validated V3 pipeline configuration. + """ + config = copy.deepcopy(pipeline) + config["version"] = "v3" + + # --- top-level schema → per-topic schema_fields + sink.mapping ------- + schema_fields = (config.pop("schema", None) or {}).get("fields", []) + + if schema_fields: + # Group source fields by topic name (source_id) + fields_by_topic: dict[str, list[dict]] = {} + for field in schema_fields: + source_id = field.get("source_id", "") + fields_by_topic.setdefault(source_id, []).append(field) + + # Attach schema_fields to matching topics + for topic in config.get("source", {}).get("topics", []): + topic_fields = fields_by_topic.get(topic["name"], []) + if topic_fields: + topic["schema_fields"] = [ + {"name": f["name"], "type": f["type"]} for f in topic_fields + ] + + # Build sink.mapping from fields that have column info + sink_mapping = [ + { + "name": f["name"], + "column_name": f["column_name"], + "column_type": f["column_type"], } + for f in schema_fields + if f.get("column_name") and f.get("column_type") + ] + if sink_mapping: + config.setdefault("sink", {})["mapping"] = sink_mapping + + # --- source topics: deduplication ------------------------------------ + for topic in config.get("source", {}).get("topics", []): + dedup = topic.get("deduplication") + if isinstance(dedup, dict): + if "id_field" in dedup: + dedup["key"] = dedup.pop("id_field") + dedup.pop("id_field_type", None) - for field in pipeline["sink"]["table_mapping"]: - schema_fields[f"{field['source_id']}_{field['field_name']}"].update( - {"column_name": field["column_name"], "column_type": field["column_type"]} - ) + # --- join ------------------------------------------------------------ + join = config.get("join") or {} + if join.get("enabled"): + for src in join.get("sources") or []: + if "join_key" in src: + src["key"] = src.pop("join_key") + src.pop("join_key_type", None) - schema = models.Schema( - fields=[ - models.SchemaField.model_validate(field) for field in schema_fields.values() + # Build join.fields from schema fields belonging to join sources + join_source_ids = {src["source_id"] for src in (join.get("sources") or [])} + join["fields"] = [ + {"source_id": f["source_id"], "name": f["name"]} + for f in schema_fields + if f.get("source_id") in join_source_ids ] - ) - - return models.PipelineConfig( - pipeline_id=pipeline["pipeline_id"], - name=pipeline.get("name", None), - source=models.SourceConfig.model_validate(pipeline["source"]), - join=models.JoinConfig.model_validate(pipeline.get("join", {})), - sink=models.SinkConfig.model_validate(pipeline["sink"]), - schema=schema, - ) + + # --- sink: flat connection fields → connection_params ---------------- + sink = config.get("sink", {}) + _conn_keys = { + "host", + "port", + "http_port", + "database", + "username", + "password", + "secure", + "skip_certificate_verification", + } + connection_params = {k: sink.pop(k) for k in _conn_keys if k in sink} + if connection_params: + sink["connection_params"] = connection_params + + # --- sink: derive source_id ------------------------------------------ + if "source_id" not in sink: + st = config.get("stateless_transformation") or {} + join_cfg = config.get("join") or {} + if st.get("enabled") and st.get("id"): + sink["source_id"] = st["id"] + elif join_cfg.get("enabled") and join_cfg.get("id"): + sink["source_id"] = join_cfg["id"] + else: + # Fall back to the unique source_id from the top-level schema fields + source_ids = list( + dict.fromkeys( + f["source_id"] for f in schema_fields if f.get("source_id") + ) + ) + if len(source_ids) == 1: + sink["source_id"] = source_ids[0] + + return models.PipelineConfig.model_validate(config) diff --git a/tests/conftest.py b/tests/conftest.py index 128c428..cf66675 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -79,6 +79,36 @@ def invalid_config() -> dict: return pipeline_configs.get_invalid_config() +@pytest.fixture +def valid_v3_config() -> dict: + """Fixture for a valid V3 Kafka pipeline configuration.""" + return pipeline_configs.get_valid_v3_pipeline_config() + + +@pytest.fixture +def valid_otlp_logs_config() -> dict: + """Fixture for a valid V3 OTLP logs pipeline configuration.""" + return pipeline_configs.get_valid_otlp_logs_pipeline_config() + + +@pytest.fixture +def valid_otlp_metrics_config() -> dict: + """Fixture for a valid V3 OTLP metrics pipeline configuration.""" + return pipeline_configs.get_valid_otlp_metrics_pipeline_config() + + +@pytest.fixture +def valid_otlp_traces_config() -> dict: + """Fixture for a valid V3 OTLP traces pipeline configuration.""" + return pipeline_configs.get_valid_otlp_traces_pipeline_config() + + +@pytest.fixture +def valid_otlp_with_transformation_config() -> dict: + """Fixture for a valid V3 OTLP pipeline with a stateless transformation.""" + return pipeline_configs.get_valid_otlp_with_transformation_config() + + @pytest.fixture def mock_success_response(): """Fixture for a successful HTTP response.""" diff --git a/tests/data/error_scenarios.py b/tests/data/error_scenarios.py index b5484e9..cb75613 100644 --- a/tests/data/error_scenarios.py +++ b/tests/data/error_scenarios.py @@ -234,7 +234,7 @@ def get_join_with_source_id_not_found(valid_config): def get_join_with_join_key_not_found(valid_config): join = valid_config["join"].copy() - join["sources"][0]["join_key"] = "non-existent-field" + join["sources"][0]["key"] = "non-existent-field" return join def get_join_with_same_orientation(valid_config): @@ -288,64 +288,26 @@ def get_join_with_invalid_type(valid_config): def get_schema_validation_error_scenarios(): - """Get schema validation error test scenarios.""" + """Get sink table_mapping validation error test scenarios.""" - def get_schema_with_source_id_not_found(valid_config): - schema = valid_config["schema"] - schema["fields"] = schema["fields"] + [ + def get_sink_with_invalid_source_id(valid_config): + sink = dict(valid_config["sink"]) + existing = list(sink.get("table_mapping", [])) + sink["table_mapping"] = existing + [ { "source_id": "non-existent-topic", - "name": "id", - "type": "string", + "field_name": "id", "column_name": "id", "column_type": "String", } ] - return schema - - def get_schema_with_missing_column_name(valid_config): - schema = valid_config["schema"] - schema["fields"] = schema["fields"] + [ - { - "source_id": valid_config["source"]["topics"][0]["name"], - "name": "id", - "type": "string", - "column_type": "String", - } - ] - return schema - - def get_schema_with_missing_column_type(valid_config): - schema = valid_config["schema"] - schema["fields"] = schema["fields"] + [ - { - "source_id": valid_config["source"]["topics"][0]["name"], - "name": "id", - "type": "string", - "column_name": "id", - } - ] - return schema + return sink return [ { "name": "source_id_not_found", - "schema": get_schema_with_source_id_not_found, - "expected_error": ValueError, - "error_message": "does not exist in any topic", - }, - { - "name": "missing_column_name", - "schema": get_schema_with_missing_column_name, - "expected_error": ValueError, - "error_message": "column_name and column_type must both be provided or both" - " be None", - }, - { - "name": "missing_column_type", - "schema": get_schema_with_missing_column_type, + "schema": get_sink_with_invalid_source_id, "expected_error": ValueError, - "error_message": "column_name and column_type must both be provided or both" - " be None", + "error_message": "does not match any known source", }, ] diff --git a/tests/data/pipeline_configs.py b/tests/data/pipeline_configs.py index e1f4e82..1e3d707 100644 --- a/tests/data/pipeline_configs.py +++ b/tests/data/pipeline_configs.py @@ -28,10 +28,14 @@ def get_valid_pipeline_config() -> dict: "replicas": 3, "deduplication": { "enabled": True, - "id_field": "session_id", - "id_field_type": "string", + "key": "session_id", "time_window": "12h", }, + "schema_fields": [ + {"name": "session_id", "type": "string"}, + {"name": "user_id", "type": "string"}, + {"name": "timestamp", "type": "string"}, + ], }, { "consumer_group_initial_offset": "earliest", @@ -39,10 +43,15 @@ def get_valid_pipeline_config() -> dict: "replicas": 1, "deduplication": { "enabled": True, - "id_field": "order_id", - "id_field_type": "string", + "key": "order_id", "time_window": "12h", }, + "schema_fields": [ + {"name": "order_id", "type": "string"}, + {"name": "user_id", "type": "string"}, + {"name": "timestamp", "type": "string"}, + {"name": "skip_sink_field", "type": "string"}, + ], }, ], }, @@ -52,13 +61,13 @@ def get_valid_pipeline_config() -> dict: "sources": [ { "source_id": "user_logins", - "join_key": "user_id", + "key": "user_id", "time_window": "1h", "orientation": "left", }, { "source_id": "orders", - "join_key": "user_id", + "key": "user_id", "time_window": "1h", "orientation": "right", }, @@ -84,64 +93,42 @@ def get_valid_pipeline_config() -> dict: }, "sink": { "type": "clickhouse", - "provider": "aiven", - "host": "", - "port": "12753", - "http_port": "12754", - "database": "default", - "username": "", - "password": "", - "secure": True, - "max_batch_size": 1, + "connection_params": { + "host": "", + "port": "12753", + "http_port": "12754", + "database": "default", + "username": "", + "password": "", + "secure": True, + }, "table": "user_orders", - }, - "schema": { - "fields": [ + "max_batch_size": 1, + "source_id": "my_transformation", + "mapping": [ { - "source_id": "user_logins", "name": "session_id", - "type": "string", "column_name": "session_id", "column_type": "String", }, + {"name": "user_id", "column_name": "user_id", "column_type": "String"}, { - "source_id": "user_logins", - "name": "user_id", - "type": "string", - "column_name": "user_id", - "column_type": "String", - }, - { - "source_id": "orders", "name": "order_id", - "type": "string", "column_name": "order_id", "column_type": "String", }, - {"source_id": "orders", "name": "user_id", "type": "string"}, { - "source_id": "user_logins", "name": "timestamp", - "type": "string", - "column_name": "login_at", + "column_name": "order_placed_at", "column_type": "DateTime", }, { - "source_id": "orders", "name": "timestamp", - "type": "string", - "column_name": "order_placed_at", + "column_name": "login_at", "column_type": "DateTime", }, { - "source_id": "orders", - "name": "skip_sink_field", - "type": "string", - }, - { - "source_id": "my_transformation", "name": "upper_user_id", - "type": "string", "column_name": "upper_user_id", "column_type": "String", }, @@ -174,46 +161,40 @@ def get_valid_config_without_joins() -> dict: "name": "user_logins", "deduplication": { "enabled": True, - "id_field": "session_id", - "id_field_type": "string", + "key": "session_id", "time_window": "12h", }, + "schema_fields": [ + {"name": "session_id", "type": "string"}, + {"name": "user_id", "type": "string"}, + {"name": "timestamp", "type": "string"}, + ], }, ], }, "sink": { "type": "clickhouse", - "provider": "aiven", - "host": "", - "port": "12753", - "http_port": "12754", - "database": "default", - "username": "", - "password": "", - "secure": True, - "max_batch_size": 1, + "connection_params": { + "host": "", + "port": "12753", + "http_port": "12754", + "database": "default", + "username": "", + "password": "", + "secure": True, + }, "table": "user_orders", - }, - "schema": { - "fields": [ + "max_batch_size": 1, + "source_id": "user_logins", + "mapping": [ { - "source_id": "user_logins", "name": "session_id", - "type": "string", "column_name": "session_id", "column_type": "String", }, + {"name": "user_id", "column_name": "user_id", "column_type": "String"}, { - "source_id": "user_logins", - "name": "user_id", - "type": "string", - "column_name": "user_id", - "column_type": "String", - }, - { - "source_id": "user_logins", "name": "timestamp", - "type": "string", "column_name": "login_at", "column_type": "DateTime", }, @@ -292,16 +273,15 @@ def get_invalid_config() -> dict: }, "sink": { "type": "clickhouse", - "host": "clickhouse:8443", - "port": "8443", - "database": "test", - "username": "default", - "password": "pass", + "connection_params": { + "host": "clickhouse:8443", + "port": "8443", + "database": "test", + "username": "default", + "password": "pass", + }, "table": "test_table", }, - "schema": { - "fields": [], # Empty schema fields should trigger validation error - }, } @@ -314,3 +294,298 @@ def get_health_payload(pipeline_id: str) -> dict: "created_at": "2025-01-01T00:00:00Z", "updated_at": "2025-01-01T00:00:00Z", } + + +# --------------------------------------------------------------------------- +# V3 pipeline config fixtures +# --------------------------------------------------------------------------- + + +def get_valid_v3_pipeline_config() -> dict: + """Get a valid V3 Kafka pipeline configuration (topics have explicit ids, + deduplication uses 'key', join sources use 'key').""" + return { + "version": "v3", + "pipeline_id": "test-v3-pipeline", + "source": { + "type": "kafka", + "provider": "aiven", + "connection_params": { + "brokers": ["kafka-broker-0:9092"], + "protocol": "SASL_SSL", + "mechanism": "SCRAM-SHA-256", + "username": "", + "password": "", + }, + "topics": [ + { + "consumer_group_initial_offset": "earliest", + "name": "user_logins", + "id": "src-logins", + "deduplication": { + "enabled": True, + "key": "session_id", + "time_window": "12h", + }, + "schema_registry": { + "url": "https://schema-registry.example.com", + "api_key": "key123", + "api_secret": "secret456", + }, + "schema_version": "1", + "schema_fields": [ + {"name": "session_id", "type": "string"}, + {"name": "user_id", "type": "string"}, + ], + }, + { + "consumer_group_initial_offset": "earliest", + "name": "orders", + "id": "src-orders", + "deduplication": { + "enabled": True, + "key": "order_id", + "time_window": "12h", + }, + "schema_fields": [ + {"name": "order_id", "type": "string"}, + {"name": "user_id", "type": "string"}, + ], + }, + ], + }, + "join": { + "enabled": True, + "id": "my-join", + "type": "temporal", + "sources": [ + { + "source_id": "src-logins", + "key": "user_id", + "time_window": "1h", + "orientation": "left", + }, + { + "source_id": "src-orders", + "key": "user_id", + "time_window": "1h", + "orientation": "right", + }, + ], + "fields": [ + { + "source_id": "src-logins", + "name": "session_id", + "output_name": "login_session_id", + }, + {"source_id": "src-orders", "name": "order_id"}, + ], + }, + "stateless_transformation": { + "enabled": True, + "id": "my_transformation", + "type": "expr_lang_transform", + "source_id": "src-logins", + "config": { + "transform": [ + { + "expression": "upper(user_id)", + "output_name": "upper_user_id", + "output_type": "string", + }, + ], + }, + }, + "sink": { + "type": "clickhouse", + "connection_params": { + "host": "", + "port": "12753", + "http_port": "12754", + "database": "default", + "username": "", + "password": "plaintext-password", + "secure": True, + }, + "table": "user_orders", + "max_batch_size": 1, + "source_id": "my_transformation", + "mapping": [ + { + "name": "session_id", + "column_name": "session_id", + "column_type": "String", + }, + {"name": "user_id", "column_name": "user_id", "column_type": "String"}, + { + "name": "order_id", + "column_name": "order_id", + "column_type": "String", + }, + { + "name": "upper_user_id", + "column_name": "upper_user_id", + "column_type": "String", + }, + ], + }, + } + + +def get_valid_otlp_logs_pipeline_config() -> dict: + """Get a valid V3 OTLP logs pipeline configuration.""" + return { + "version": "v3", + "pipeline_id": "test-otlp-logs", + "source": { + "type": "otlp.logs", + "id": "otlp-src", + "deduplication": { + "enabled": False, + }, + }, + "join": { + "enabled": False, + }, + "sink": { + "type": "clickhouse", + "connection_params": { + "host": "", + "port": "12753", + "database": "default", + "username": "", + "password": "plaintext-password", + "secure": True, + }, + "table": "otel_logs", + "max_batch_size": 1, + "source_id": "otlp-src", + "mapping": [ + {"name": "body", "column_name": "body", "column_type": "String"}, + ], + }, + } + + +def get_valid_otlp_metrics_pipeline_config() -> dict: + """Get a valid V3 OTLP metrics pipeline configuration.""" + return { + "version": "v3", + "pipeline_id": "test-otlp-metrics", + "source": { + "type": "otlp.metrics", + "id": "metrics-src", + }, + "join": { + "enabled": False, + }, + "sink": { + "type": "clickhouse", + "connection_params": { + "host": "", + "port": "12753", + "database": "default", + "username": "", + "password": "plaintext-password", + "secure": True, + }, + "table": "otel_metrics", + "max_batch_size": 1, + "source_id": "metrics-src", + "mapping": [ + { + "name": "metric_name", + "column_name": "metric_name", + "column_type": "String", + }, + ], + }, + } + + +def get_valid_otlp_traces_pipeline_config() -> dict: + """Get a valid V3 OTLP traces pipeline configuration.""" + return { + "version": "v3", + "pipeline_id": "test-otlp-traces", + "source": { + "type": "otlp.traces", + "id": "traces-src", + }, + "join": { + "enabled": False, + }, + "sink": { + "type": "clickhouse", + "connection_params": { + "host": "", + "port": "12753", + "database": "default", + "username": "", + "password": "plaintext-password", + "secure": True, + }, + "table": "otel_traces", + "max_batch_size": 1, + "source_id": "traces-src", + "mapping": [ + { + "name": "trace_id", + "column_name": "trace_id", + "column_type": "String", + }, + ], + }, + } + + +def get_valid_otlp_with_transformation_config() -> dict: + """Get a valid V3 OTLP pipeline with a stateless transformation.""" + return { + "version": "v3", + "pipeline_id": "test-otlp-transform", + "source": { + "type": "otlp.logs", + "id": "otlp-src", + }, + "join": { + "enabled": False, + }, + "stateless_transformation": { + "enabled": True, + "id": "log_transform", + "type": "expr_lang_transform", + "source_id": "otlp-src", + "config": { + "transform": [ + { + "expression": "upper(body)", + "output_name": "upper_body", + "output_type": "string", + }, + ], + }, + }, + "sink": { + "type": "clickhouse", + "connection_params": { + "host": "", + "port": "12753", + "database": "default", + "username": "", + "password": "plaintext-password", + "secure": True, + }, + "table": "otel_logs", + "max_batch_size": 1, + "source_id": "log_transform", + "mapping": [ + {"name": "body", "column_name": "body", "column_type": "String"}, + { + "name": "upper_body", + "column_name": "upper_body", + "column_type": "String", + }, + ], + }, + } diff --git a/tests/data/valid_pipeline.json b/tests/data/valid_pipeline.json index 02cd676..eb82108 100644 --- a/tests/data/valid_pipeline.json +++ b/tests/data/valid_pipeline.json @@ -22,20 +22,29 @@ "name": "user_logins", "deduplication": { "enabled": true, - "id_field": "session_id", - "id_field_type": "string", + "key": "session_id", "time_window": "12h" - } + }, + "schema_fields": [ + {"name": "session_id", "type": "string"}, + {"name": "user_id", "type": "string"}, + {"name": "timestamp", "type": "string"} + ] }, { "consumer_group_initial_offset": "earliest", "name": "orders", "deduplication": { "enabled": true, - "id_field": "order_id", - "id_field_type": "string", + "key": "order_id", "time_window": "12h" - } + }, + "schema_fields": [ + {"name": "order_id", "type": "string"}, + {"name": "user_id", "type": "string"}, + {"name": "timestamp", "type": "string"}, + {"name": "skip_sink_field", "type": "string"} + ] } ] }, @@ -45,13 +54,13 @@ "sources": [ { "source_id": "user_logins", - "join_key": "user_id", + "key": "user_id", "time_window": "1h", "orientation": "left" }, { "source_id": "orders", - "join_key": "user_id", + "key": "user_id", "time_window": "1h", "orientation": "right" } @@ -77,72 +86,26 @@ }, "sink": { "type": "clickhouse", - "provider": "aiven", - "host": "", - "port": "12753", - "http_port": "12754", - "database": "default", - "username": "", - "password": "", - "secure": true, + "connection_params": { + "host": "", + "port": "12753", + "http_port": "12754", + "database": "default", + "username": "", + "password": "", + "secure": true + }, + "table": "user_orders", "max_batch_size": 1, "max_delay_time": "10m", - "table": "user_orders" - }, - "schema": { - "fields": [ - { - "source_id": "user_logins", - "name": "session_id", - "type": "string", - "column_name": "session_id", - "column_type": "String" - }, - { - "source_id": "user_logins", - "name": "user_id", - "type": "string", - "column_name": "user_id", - "column_type": "String" - }, - { - "source_id": "orders", - "name": "order_id", - "type": "string", - "column_name": "order_id", - "column_type": "String" - }, - { - "source_id": "orders", - "name": "user_id", - "type": "string" - }, - { - "source_id": "user_logins", - "name": "timestamp", - "type": "string", - "column_name": "login_at", - "column_type": "DateTime" - }, - { - "source_id": "orders", - "name": "timestamp", - "type": "string", - "column_name": "order_placed_at", - "column_type": "DateTime" - }, - { - "source_id": "orders", - "name": "skip_sink_field", - "type": "string" - }, - { - "source_id": "my_transformation", - "name": "upper_user_id", - "type": "string", - "column_name": "upper_user_id", - "column_type": "String" - } + "source_id": "my_transformation", + "mapping": [ + {"name": "session_id", "column_name": "session_id", "column_type": "String"}, + {"name": "user_id", "column_name": "user_id", "column_type": "String"}, + {"name": "order_id", "column_name": "order_id", "column_type": "String"}, + {"name": "timestamp", "column_name": "order_placed_at", "column_type": "DateTime"}, + {"name": "timestamp", "column_name": "login_at", "column_type": "DateTime"}, + {"name": "upper_user_id", "column_name": "upper_user_id", "column_type": "String"} ] } -} \ No newline at end of file +} diff --git a/tests/data/valid_pipeline.yaml b/tests/data/valid_pipeline.yaml index 75ad5c0..a414bb7 100644 --- a/tests/data/valid_pipeline.yaml +++ b/tests/data/valid_pipeline.yaml @@ -1,11 +1,11 @@ join: enabled: true sources: - - join_key: user_id + - key: user_id orientation: left source_id: user_logins time_window: 1h - - join_key: user_id + - key: user_id orientation: right source_id: orders time_window: 1h @@ -25,18 +25,38 @@ stateless_transformation: output_name: upper_user_id output_type: string sink: - database: default - host: + type: clickhouse + connection_params: + host: + port: "12753" + http_port: "12754" + database: default + username: + password: + secure: true + table: user_orders max_batch_size: 1 max_delay_time: 10m - password: - port: "12753" - http_port: "12754" - provider: aiven - secure: true - table: user_orders - type: clickhouse - username: + source_id: my_transformation + mapping: + - name: session_id + column_name: session_id + column_type: String + - name: user_id + column_name: user_id + column_type: String + - name: order_id + column_name: order_id + column_type: String + - name: timestamp + column_name: order_placed_at + column_type: DateTime + - name: timestamp + column_name: login_at + column_type: DateTime + - name: upper_user_id + column_name: upper_user_id + column_type: String source: connection_params: brokers: @@ -53,53 +73,29 @@ source: - consumer_group_initial_offset: earliest deduplication: enabled: true - id_field: session_id - id_field_type: string + key: session_id time_window: 12h name: user_logins + schema_fields: + - name: session_id + type: string + - name: user_id + type: string + - name: timestamp + type: string - consumer_group_initial_offset: earliest deduplication: enabled: true - id_field: order_id - id_field_type: string + key: order_id time_window: 12h name: orders + schema_fields: + - name: order_id + type: string + - name: user_id + type: string + - name: timestamp + type: string + - name: skip_sink_field + type: string type: kafka -schema: - fields: - - column_name: session_id - column_type: String - name: session_id - source_id: user_logins - type: string - - column_name: user_id - column_type: String - name: user_id - source_id: user_logins - type: string - - column_name: order_id - column_type: String - name: order_id - source_id: orders - type: string - - name: user_id - source_id: orders - type: string - - column_name: login_at - column_type: DateTime - name: timestamp - source_id: user_logins - type: string - - column_name: order_placed_at - column_type: DateTime - name: timestamp - source_id: orders - type: string - - name: skip_sink_field - source_id: orders - type: string - - name: upper_user_id - source_id: my_transformation - type: string - column_name: upper_user_id - column_type: String \ No newline at end of file diff --git a/tests/test_models/test_config_update.py b/tests/test_models/test_config_update.py index 451dfa4..120a64a 100644 --- a/tests/test_models/test_config_update.py +++ b/tests/test_models/test_config_update.py @@ -21,7 +21,6 @@ def test_update_name(self, valid_config): assert updated.join == config.join assert updated.filter == config.filter assert updated.metadata == config.metadata - assert updated.pipeline_schema == config.pipeline_schema # Original config should be unchanged (immutable) assert config.name != "Updated Name" @@ -29,7 +28,7 @@ def test_update_source(self, valid_config): """Test updating source configuration.""" config = models.PipelineConfig(**valid_config) patch = models.PipelineConfigPatch( - source=models.SourceConfigPatch( + source=models.KafkaSourcePatch( provider="new-provider", connection_params=models.KafkaConnectionParamsPatch( brokers=["new-broker:9092"] @@ -49,16 +48,26 @@ def test_update_sink(self, valid_config): """Test updating sink configuration.""" config = models.PipelineConfig(**valid_config) patch = models.PipelineConfigPatch( - sink=models.SinkConfigPatch(host="new-host", port="9000") + sink=models.SinkConfigPatch( + connection_params=models.ClickhouseConnectionParamsPatch( + host="new-host", port="9000" + ) + ) ) updated = config.update(patch) - assert updated.sink.host == "new-host" - assert updated.sink.port == "9000" + assert updated.sink.connection_params.host == "new-host" + assert updated.sink.connection_params.port == "9000" # Other sink fields should remain unchanged - assert updated.sink.database == config.sink.database - assert updated.sink.username == config.sink.username + assert ( + updated.sink.connection_params.database + == config.sink.connection_params.database + ) + assert ( + updated.sink.connection_params.username + == config.sink.connection_params.username + ) def test_update_join(self, valid_config): """Test updating join configuration.""" @@ -83,13 +92,13 @@ def test_update_join_when_none(self, valid_config_without_joins): sources=[ models.JoinSourceConfig( source_id="user_logins", - join_key="user_id", + key="user_id", time_window="1h", orientation=models.JoinOrientation.LEFT, ), models.JoinSourceConfig( source_id="orders", - join_key="user_id", + key="user_id", time_window="1h", orientation=models.JoinOrientation.RIGHT, ), @@ -107,15 +116,19 @@ def test_update_multiple_fields(self, valid_config): config = models.PipelineConfig(**valid_config) patch = models.PipelineConfigPatch( name="Multi Update", - source=models.SourceConfigPatch(provider="updated-provider"), - sink=models.SinkConfigPatch(host="updated-host"), + source=models.KafkaSourcePatch(provider="updated-provider"), + sink=models.SinkConfigPatch( + connection_params=models.ClickhouseConnectionParamsPatch( + host="updated-host" + ) + ), ) updated = config.update(patch) assert updated.name == "Multi Update" assert updated.source.provider == "updated-provider" - assert updated.sink.host == "updated-host" + assert updated.sink.connection_params.host == "updated-host" def test_update_filter(self, valid_config): """Test updating filter configuration.""" @@ -179,7 +192,7 @@ def test_update_partial_nested(self, valid_config): original_protocol = config.source.connection_params.protocol patch = models.PipelineConfigPatch( - source=models.SourceConfigPatch( + source=models.KafkaSourcePatch( connection_params=models.KafkaConnectionParamsPatch( username="new-username" ) @@ -200,10 +213,10 @@ class TestSourceConfigUpdate: def test_update_connection_params(self, valid_config): """Test updating Kafka connection parameters.""" - from glassflow.etl.models.source import KafkaProtocol + from glassflow.etl.models.sources import KafkaProtocol - source = models.SourceConfig(**valid_config["source"]) - patch = models.SourceConfigPatch( + source = models.KafkaSource(**valid_config["source"]) + patch = models.KafkaSourcePatch( connection_params=models.KafkaConnectionParamsPatch( brokers=["updated-broker:9092"], protocol=KafkaProtocol.PLAINTEXT, @@ -213,7 +226,7 @@ def test_update_connection_params(self, valid_config): updated = source.update(patch) assert updated.connection_params.brokers == ["updated-broker:9092"] - from glassflow.etl.models.source import KafkaProtocol + from glassflow.etl.models.sources import KafkaProtocol assert updated.connection_params.protocol == KafkaProtocol.PLAINTEXT # Other fields should remain unchanged @@ -222,11 +235,11 @@ def test_update_connection_params(self, valid_config): def test_update_topics(self, valid_config): """Test updating topics with full TopicConfig objects (no partial patch).""" - source = models.SourceConfig(**valid_config["source"]) + source = models.KafkaSource(**valid_config["source"]) new_topic = models.TopicConfig( name="new-topic", ) - patch = models.SourceConfigPatch(topics=[new_topic]) + patch = models.KafkaSourcePatch(topics=[new_topic]) updated = source.update(patch) @@ -237,8 +250,8 @@ def test_update_topics(self, valid_config): def test_update_provider(self, valid_config): """Test updating provider.""" - source = models.SourceConfig(**valid_config["source"]) - patch = models.SourceConfigPatch(provider="updated-provider") + source = models.KafkaSource(**valid_config["source"]) + patch = models.KafkaSourcePatch(provider="updated-provider") updated = source.update(patch) @@ -252,42 +265,52 @@ class TestSinkConfigUpdate: def test_update_host_port(self, valid_config): """Test updating sink host and port.""" sink = models.SinkConfig(**valid_config["sink"]) - patch = models.SinkConfigPatch(host="new-host", port="8080") + patch = models.SinkConfigPatch( + connection_params=models.ClickhouseConnectionParamsPatch( + host="new-host", port="8080" + ) + ) updated = sink.update(patch) - assert updated.host == "new-host" - assert updated.port == "8080" + assert updated.connection_params.host == "new-host" + assert updated.connection_params.port == "8080" # Other fields should remain unchanged - assert updated.database == sink.database - assert updated.username == sink.username + assert updated.connection_params.database == sink.connection_params.database + assert updated.connection_params.username == sink.connection_params.username def test_update_credentials(self, valid_config): """Test updating sink credentials.""" sink = models.SinkConfig(**valid_config["sink"]) - patch = models.SinkConfigPatch(username="new-user", password="new-password") + patch = models.SinkConfigPatch( + connection_params=models.ClickhouseConnectionParamsPatch( + username="new-user", password="new-password" + ) + ) updated = sink.update(patch) - assert updated.username == "new-user" - assert updated.password == "new-password" - assert updated.host == sink.host + assert updated.connection_params.username == "new-user" + assert updated.connection_params.password == "new-password" + assert updated.connection_params.host == sink.connection_params.host def test_update_multiple_sink_fields(self, valid_config): """Test updating multiple sink fields at once.""" sink = models.SinkConfig(**valid_config["sink"]) patch = models.SinkConfigPatch( - host="new-host", - port="8080", - database="new-db", + connection_params=models.ClickhouseConnectionParamsPatch( + host="new-host", + port="8080", + database="new-db", + ), table="new-table", ) updated = sink.update(patch) - assert updated.host == "new-host" - assert updated.port == "8080" - assert updated.database == "new-db" + assert updated.connection_params.host == "new-host" + assert updated.connection_params.port == "8080" + assert updated.connection_params.database == "new-db" assert updated.table == "new-table" @@ -321,13 +344,13 @@ def test_update_sources(self, valid_config): new_sources = [ models.JoinSourceConfig( source_id="source1", - join_key="key1", + key="key1", time_window="2h", orientation=models.JoinOrientation.LEFT, ), models.JoinSourceConfig( source_id="source2", - join_key="key2", + key="key2", time_window="2h", orientation=models.JoinOrientation.RIGHT, ), @@ -389,7 +412,7 @@ def test_update_enabled(self, valid_config): assert updated.enabled is False # Other fields should remain unchanged - assert updated.id_field == dedup.id_field + assert updated.key == dedup.key assert updated.time_window == dedup.time_window def test_update_id_field(self, valid_config): @@ -397,11 +420,8 @@ def test_update_id_field(self, valid_config): dedup = models.DeduplicationConfig( **valid_config["source"]["topics"][0]["deduplication"] ) - patch = models.DeduplicationConfigPatch( - id_field="new_id_field", id_field_type=models.KafkaDataType.INT - ) + patch = models.DeduplicationConfigPatch(key="new_id_field") updated = dedup.update(patch) - assert updated.id_field == "new_id_field" - assert updated.id_field_type == models.KafkaDataType.INT + assert updated.key == "new_id_field" diff --git a/tests/test_models/test_data_types.py b/tests/test_models/test_data_types.py index 4d8dc56..85505c4 100644 --- a/tests/test_models/test_data_types.py +++ b/tests/test_models/test_data_types.py @@ -1,17 +1,33 @@ import pytest -from glassflow.etl import errors, models +from glassflow.etl import models class TestDataTypeCompatibility: - """Tests for data type compatibility validation.""" + """Tests for data type compatibility in models.""" - def test_validate_data_type_compatibility_invalid_mapping(self, valid_config): - """Test data type compatibility validation with invalid type mappings.""" - # Modify the schema to have an invalid type mapping - valid_config["schema"]["fields"][0]["column_type"] = ( - models.ClickhouseDataType.INT32 - ) + def test_sink_field_mapping_valid_types(self, valid_config): + """Test that valid Clickhouse types are accepted in SinkFieldMapping.""" + config = models.PipelineConfig(**valid_config) + # Verify that mapping has valid types + for mapping in config.sink.mapping: + assert isinstance(mapping.column_type, models.ClickhouseDataType) - with pytest.raises(errors.InvalidDataTypeMappingError): - models.PipelineConfig(**valid_config) + def test_sink_field_mapping_invalid_column_type(self): + """Test that invalid Clickhouse column type raises a validation error.""" + with pytest.raises(ValueError): + models.SinkFieldMapping( + name="id", + column_name="id", + column_type="NotAValidType", + ) + + def test_kafka_field_valid_types(self): + """Test that valid Kafka types are accepted in KafkaField.""" + field = models.KafkaField(name="ts", type=models.KafkaDataType.INT64) + assert field.type == models.KafkaDataType.INT64 + + def test_kafka_field_invalid_type(self): + """Test that invalid Kafka type raises a validation error.""" + with pytest.raises(ValueError): + models.KafkaField(name="ts", type="not_a_type") diff --git a/tests/test_models/test_deduplication.py b/tests/test_models/test_deduplication.py index dbd6a96..8478fdb 100644 --- a/tests/test_models/test_deduplication.py +++ b/tests/test_models/test_deduplication.py @@ -11,8 +11,7 @@ def test_deduplication_config_enabled_true(self): with pytest.raises(ValueError) as exc_info: models.DeduplicationConfig( enabled=True, - id_field=None, - id_field_type=None, + key=None, time_window=None, ) assert "is required when deduplication is enabled" in str(exc_info.value) @@ -20,13 +19,11 @@ def test_deduplication_config_enabled_true(self): # All fields should be required when enabled is True config = models.DeduplicationConfig( enabled=True, - id_field="id", - id_field_type="string", + key="id", time_window="1h", ) assert config.enabled is True - assert config.id_field == "id" - assert config.id_field_type == "string" + assert config.key == "id" assert config.time_window == "1h" def test_deduplication_config_enabled_false(self): @@ -34,13 +31,11 @@ def test_deduplication_config_enabled_false(self): # All fields should be optional when enabled is False config = models.DeduplicationConfig( enabled=False, - id_field=None, - id_field_type=None, + key=None, time_window=None, ) assert config.enabled is False - assert config.id_field is None - assert config.id_field_type is None + assert config.key is None assert config.time_window is None def test_deduplication_config_enabled_false_with_fields(self): @@ -48,11 +43,35 @@ def test_deduplication_config_enabled_false_with_fields(self): # All fields should be optional when enabled is False config = models.DeduplicationConfig( enabled=False, - id_field="", - id_field_type="", + key="", time_window=None, ) assert config.enabled is False - assert config.id_field is None - assert config.id_field_type is None + assert config.key is None assert config.time_window is None + + def test_deduplication_key_field(self): + """key is the canonical deduplication field name.""" + config = models.DeduplicationConfig( + enabled=True, + key="session_id", + time_window="12h", + ) + assert config.key == "session_id" + + def test_deduplication_key_via_dict(self): + data = {"enabled": True, "key": "order_id", "time_window": "1h"} + config = models.DeduplicationConfig.model_validate(data) + assert config.key == "order_id" + + def test_deduplication_requires_key_when_enabled(self): + with pytest.raises(ValueError, match="key is required"): + models.DeduplicationConfig(enabled=True, time_window="1h") + + def test_deduplication_requires_time_window_when_enabled(self): + with pytest.raises(ValueError, match="time_window is required"): + models.DeduplicationConfig(enabled=True, key="session_id") + + def test_deduplication_defaults(self): + d = models.DeduplicationConfig() + assert d.enabled is False diff --git a/tests/test_models/test_join.py b/tests/test_models/test_join.py index 230ec65..a66fe5c 100644 --- a/tests/test_models/test_join.py +++ b/tests/test_models/test_join.py @@ -4,6 +4,96 @@ from tests.data import error_scenarios +class TestJoinSourceConfig: + """Tests for JoinSourceConfig model.""" + + def test_join_source_config_key(self): + js = models.JoinSourceConfig( + source_id="src-logins", + key="user_id", + time_window="1h", + orientation=models.JoinOrientation.LEFT, + ) + assert js.key == "user_id" + + def test_join_source_config_key_from_dict(self): + data = { + "source_id": "src-orders", + "key": "user_id", + "time_window": "1h", + "orientation": "right", + } + js = models.JoinSourceConfig.model_validate(data) + assert js.key == "user_id" + assert js.orientation == models.JoinOrientation.RIGHT + + +class TestJoinField: + """Tests for the JoinField model.""" + + def test_join_field_with_output_name(self): + f = models.JoinField( + source_id="src-logins", + name="session_id", + output_name="login_session_id", + ) + assert f.source_id == "src-logins" + assert f.name == "session_id" + assert f.output_name == "login_session_id" + + def test_join_field_without_output_name(self): + f = models.JoinField(source_id="src-orders", name="order_id") + assert f.output_name is None + + def test_join_config_with_fields(self): + config = models.JoinConfig( + enabled=True, + type=models.JoinType.TEMPORAL, + sources=[ + models.JoinSourceConfig( + source_id="src1", + key="id", + time_window="1h", + orientation=models.JoinOrientation.LEFT, + ), + models.JoinSourceConfig( + source_id="src2", + key="id", + time_window="1h", + orientation=models.JoinOrientation.RIGHT, + ), + ], + fields=[ + models.JoinField(source_id="src1", name="field_a", output_name="a"), + models.JoinField(source_id="src2", name="field_b"), + ], + ) + assert len(config.fields) == 2 + assert config.fields[0].output_name == "a" + assert config.fields[1].output_name is None + + def test_join_config_fields_optional(self): + config = models.JoinConfig( + enabled=True, + type=models.JoinType.TEMPORAL, + sources=[ + models.JoinSourceConfig( + source_id="src1", + key="id", + time_window="1h", + orientation=models.JoinOrientation.LEFT, + ), + models.JoinSourceConfig( + source_id="src2", + key="id", + time_window="1h", + orientation=models.JoinOrientation.RIGHT, + ), + ], + ) + assert config.fields is None + + class TestJoinConfig: """Tests for JoinConfig model.""" @@ -15,13 +105,13 @@ def test_valid_enabled_join_config(self): sources=[ models.JoinSourceConfig( source_id="test-topic-1", - join_key="id", + key="id", time_window="1h", orientation=models.JoinOrientation.LEFT, ), models.JoinSourceConfig( source_id="test-topic-2", - join_key="id", + key="id", time_window="1h", orientation=models.JoinOrientation.RIGHT, ), @@ -57,7 +147,6 @@ def test_join_validation_error_scenarios(self, valid_config, scenario): source=valid_config["source"], join=scenario["join"](valid_config), sink=valid_config["sink"], - schema=valid_config["schema"], stateless_transformation=valid_config["stateless_transformation"], ) assert scenario["error_message"] in str(exc_info.value) diff --git a/tests/test_models/test_pipeline_config.py b/tests/test_models/test_pipeline_config.py index f9659f1..38d1a74 100644 --- a/tests/test_models/test_pipeline_config.py +++ b/tests/test_models/test_pipeline_config.py @@ -2,6 +2,7 @@ from glassflow.etl import models from glassflow.etl.errors import ImmutableResourceError +from glassflow.etl.models.sources import OTLPSource class TestPipelineConfig: @@ -27,7 +28,6 @@ def test_pipeline_config_pipeline_id_validation(self, valid_config): source=valid_config["source"], join=valid_config["join"], sink=valid_config["sink"], - schema=valid_config["schema"], stateless_transformation=valid_config["stateless_transformation"], ) assert config.pipeline_id == "test-pipeline-123a" @@ -39,7 +39,6 @@ def test_pipeline_config_pipeline_id_validation(self, valid_config): source=valid_config["source"], join=valid_config["join"], sink=valid_config["sink"], - schema=valid_config["schema"], ) assert "pipeline_id cannot be empty" in str(exc_info.value) @@ -49,7 +48,6 @@ def test_pipeline_config_pipeline_id_validation(self, valid_config): source=valid_config["source"], join=valid_config["join"], sink=valid_config["sink"], - schema=valid_config["schema"], ) assert ( "pipeline_id can only contain lowercase letters, numbers, and hyphens" @@ -62,7 +60,6 @@ def test_pipeline_config_pipeline_id_validation(self, valid_config): source=valid_config["source"], join=valid_config["join"], sink=valid_config["sink"], - schema=valid_config["schema"], ) assert "pipeline_id cannot be longer than 40 characters" in str(exc_info.value) @@ -72,7 +69,6 @@ def test_pipeline_config_pipeline_id_validation(self, valid_config): source=valid_config["source"], join=valid_config["join"], sink=valid_config["sink"], - schema=valid_config["schema"], ) assert "pipeline_id must start with a lowercase alphanumeric" in str( exc_info.value @@ -84,7 +80,6 @@ def test_pipeline_config_pipeline_id_validation(self, valid_config): source=valid_config["source"], join=valid_config["join"], sink=valid_config["sink"], - schema=valid_config["schema"], ) assert "pipeline_id must end with a lowercase alphanumeric" in str( exc_info.value @@ -98,7 +93,6 @@ def test_pipeline_config_pipeline_name_provided(self, valid_config): source=valid_config["source"], join=valid_config["join"], sink=valid_config["sink"], - schema=valid_config["schema"], stateless_transformation=valid_config["stateless_transformation"], ) assert config.pipeline_id == "test-pipeline" @@ -111,7 +105,6 @@ def test_pipeline_config_pipeline_name_not_provided(self, valid_config): source=valid_config["source"], join=valid_config["join"], sink=valid_config["sink"], - schema=valid_config["schema"], stateless_transformation=valid_config["stateless_transformation"], ) assert config.pipeline_id == "test-pipeline" @@ -190,3 +183,163 @@ def test_pipeline_config_resources_update_transform_replicas_immutable_raises( ) with pytest.raises(ImmutableResourceError) as _: config.update(patch) + + +class TestPipelineConfigOTLP: + """Tests for PipelineConfig with an OTLP source.""" + + def test_otlp_logs_pipeline_creation(self, valid_otlp_logs_config): + config = models.PipelineConfig(**valid_otlp_logs_config) + assert config.pipeline_id == "test-otlp-logs" + assert isinstance(config.source, OTLPSource) + assert config.source.type == "otlp.logs" + assert config.source.id == "otlp-src" + + def test_otlp_metrics_pipeline_creation(self, valid_otlp_metrics_config): + config = models.PipelineConfig(**valid_otlp_metrics_config) + assert isinstance(config.source, OTLPSource) + assert config.source.type == "otlp.metrics" + + def test_otlp_traces_pipeline_creation(self, valid_otlp_traces_config): + config = models.PipelineConfig(**valid_otlp_traces_config) + assert isinstance(config.source, OTLPSource) + assert config.source.type == "otlp.traces" + + def test_otlp_pipeline_join_must_be_disabled(self, valid_otlp_logs_config): + """OTLP pipelines must have join.enabled = False.""" + config_data = { + **valid_otlp_logs_config, + "join": { + "enabled": True, + "type": "temporal", + "sources": [ + { + "source_id": "a", + "key": "id", + "time_window": "1h", + "orientation": "left", + }, + { + "source_id": "b", + "key": "id", + "time_window": "1h", + "orientation": "right", + }, + ], + }, + } + with pytest.raises(ValueError, match="join.enabled must be False"): + models.PipelineConfig(**config_data) + + def test_otlp_pipeline_name_defaults_from_id(self, valid_otlp_logs_config): + config = models.PipelineConfig(**valid_otlp_logs_config) + assert config.name == "Test Otlp Logs" + + def test_otlp_pipeline_with_transformation( + self, valid_otlp_with_transformation_config + ): + config = models.PipelineConfig(**valid_otlp_with_transformation_config) + assert config.stateless_transformation.enabled is True + assert config.stateless_transformation.id == "log_transform" + assert config.stateless_transformation.source_id == "otlp-src" + + def test_otlp_pipeline_invalid_source_id(self, valid_otlp_logs_config): + """Sink source_id must reference the OTLP source id.""" + config_data = { + **valid_otlp_logs_config, + "sink": { + **valid_otlp_logs_config["sink"], + "source_id": "non-existent-source", + }, + } + with pytest.raises(ValueError, match="does not match any known source"): + models.PipelineConfig(**config_data) + + +class TestPipelineConfigKafka: + """Tests for PipelineConfig with Kafka source features.""" + + def test_pipeline_config_creation(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + assert config.pipeline_id == "test-v3-pipeline" + assert isinstance(config.source, models.KafkaSource) + + def test_topic_id_field(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + topics = config.source.topics + assert topics[0].id == "src-logins" + assert topics[1].id == "src-orders" + + def test_topic_schema_registry(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + topic = config.source.topics[0] + assert topic.schema_registry is not None + assert topic.schema_registry.url == "https://schema-registry.example.com" + + def test_topic_schema_version(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + assert config.source.topics[0].schema_version == "1" + + def test_topic_deduplication_key(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + assert config.source.topics[0].deduplication.key == "session_id" + + def test_join_source_key(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + assert config.join.enabled is True + for join_src in config.join.sources: + assert join_src.key == "user_id" + + def test_join_fields(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + assert config.join.fields is not None + assert len(config.join.fields) == 2 + assert config.join.fields[0].output_name == "login_session_id" + assert config.join.fields[1].output_name is None + + def test_stateless_transformation_source_id(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + assert config.stateless_transformation.source_id == "src-logins" + + def test_sink_source_id_references_transformation(self, valid_v3_config): + """Sink source_id references the stateless transformation id.""" + config = models.PipelineConfig(**valid_v3_config) + assert config.sink.source_id == "my_transformation" + + def test_topic_schema_fields(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + topic = config.source.topics[0] + assert topic.schema_fields is not None + field_names = {f.name for f in topic.schema_fields} + assert "session_id" in field_names + assert "user_id" in field_names + + def test_sink_connection_params(self, valid_v3_config): + config = models.PipelineConfig(**valid_v3_config) + assert config.sink.connection_params.http_port == "12754" + assert config.sink.connection_params.password == "plaintext-password" + + def test_pipeline_deduplication_key_set(self, valid_config): + """Deduplication key is correctly populated from config.""" + config = models.PipelineConfig(**valid_config) + for topic in config.source.topics: + if topic.deduplication and topic.deduplication.enabled: + assert topic.deduplication.key is not None + + def test_pipeline_topic_without_id_falls_back_to_name(self, valid_config): + """Topics without an explicit id use name as effective_id.""" + config = models.PipelineConfig(**valid_config) + for topic in config.source.topics: + assert topic.effective_id == topic.name + + def test_pipeline_sink_source_id_references_known_component(self, valid_config): + """Sink source_id references a known upstream component.""" + config = models.PipelineConfig(**valid_config) + topic_names = {t.name for t in config.source.topics} + transform_id = ( + config.stateless_transformation.id + if config.stateless_transformation + else None + ) + valid_ids = topic_names | ({transform_id} if transform_id else set()) + assert config.sink.source_id in valid_ids diff --git a/tests/test_models/test_schema.py b/tests/test_models/test_schema.py index 550b024..b5c2a57 100644 --- a/tests/test_models/test_schema.py +++ b/tests/test_models/test_schema.py @@ -1,27 +1,88 @@ import pytest from glassflow.etl import models -from tests.data import error_scenarios - - -class TestSchemaConfig: - """Tests for SchemaConfig validation.""" - - @pytest.mark.parametrize( - "scenario", - error_scenarios.get_schema_validation_error_scenarios(), - ids=lambda s: s["name"], - ) - def test_schema_validation_error_scenarios(self, valid_config, scenario): - """Test schema validation with various error scenarios.""" - - with pytest.raises(scenario["expected_error"]) as exc_info: - models.PipelineConfig( - pipeline_id="test-pipeline", - source=valid_config["source"], - sink=valid_config["sink"], - schema=scenario["schema"](valid_config), - filter=valid_config["filter"], - join=valid_config["join"], - ) - assert scenario["error_message"] in str(exc_info.value) + + +class TestSinkFieldMapping: + """Tests for SinkFieldMapping model.""" + + def test_sink_field_mapping_creation(self): + """Test SinkFieldMapping creation.""" + mapping = models.SinkFieldMapping( + name="session_id", + column_name="session_id", + column_type=models.ClickhouseDataType.STRING, + ) + assert mapping.name == "session_id" + assert mapping.column_name == "session_id" + assert mapping.column_type == models.ClickhouseDataType.STRING + + def test_sink_field_mapping_from_dict(self): + """Test SinkFieldMapping creation from dict.""" + data = { + "name": "ts", + "column_name": "event_time", + "column_type": "DateTime", + } + mapping = models.SinkFieldMapping.model_validate(data) + assert mapping.column_type == models.ClickhouseDataType.DATETIME + + def test_sink_config_with_mapping(self): + """Test SinkConfig with mapping.""" + sink = models.SinkConfig( + connection_params=models.ClickhouseConnectionParams( + host="localhost", + port="9000", + database="test", + username="default", + password="", + ), + table="test_table", + mapping=[ + models.SinkFieldMapping( + name="id", + column_name="id", + column_type=models.ClickhouseDataType.STRING, + ), + ], + ) + assert sink.mapping is not None + assert len(sink.mapping) == 1 + assert sink.mapping[0].name == "id" + + def test_sink_config_mapping_optional(self): + """Test SinkConfig without mapping.""" + sink = models.SinkConfig( + connection_params=models.ClickhouseConnectionParams( + host="localhost", + port="9000", + database="test", + username="default", + password="", + ), + table="test_table", + ) + assert sink.mapping is None + + +class TestSinkSourceIdValidation: + """Tests for sink source_id validation in PipelineConfig.""" + + def test_sink_invalid_source_id(self, valid_config): + """sink.source_id must match a known topic or transformation id.""" + import copy + + config_data = copy.deepcopy(valid_config) + config_data["sink"]["source_id"] = "non-existent-topic" + + with pytest.raises(ValueError) as exc_info: + models.PipelineConfig(**config_data) + assert "does not match any known source" in str(exc_info.value) + + def test_sink_valid_source_id(self, valid_config): + """sink.source_id matching a known component should not raise.""" + config = models.PipelineConfig(**valid_config) + # Verify the source_id is valid + topic_names = {t.name for t in config.source.topics} + valid_ids = topic_names | {config.stateless_transformation.id} + assert config.sink.source_id in valid_ids diff --git a/tests/test_models/test_source_models.py b/tests/test_models/test_source_models.py new file mode 100644 index 0000000..7d13e5c --- /dev/null +++ b/tests/test_models/test_source_models.py @@ -0,0 +1,81 @@ +"""Tests for source models (Kafka and OTLP).""" + +import pytest + +from glassflow.etl.models.sources import ( + DeduplicationConfig, + OTLPLogsSource, + OTLPMetricsSource, + OTLPSource, + OTLPTracesSource, +) + + +class TestOTLPSource: + """Tests for the OTLPSource model.""" + + def test_otlp_source_logs(self): + src = OTLPLogsSource(id="logs-src") + assert src.type == "otlp.logs" + assert src.id == "logs-src" + assert src.deduplication is None + + def test_otlp_source_metrics(self): + src = OTLPMetricsSource(id="metrics-src") + assert src.type == "otlp.metrics" + + def test_otlp_source_traces(self): + src = OTLPTracesSource(id="traces-src") + assert src.type == "otlp.traces" + + def test_otlp_source_with_deduplication(self): + src = OTLPLogsSource( + id="logs-src", + deduplication=DeduplicationConfig( + enabled=True, + key="trace_id", + time_window="1h", + ), + ) + assert src.deduplication.enabled is True + assert src.deduplication.key == "trace_id" + + def test_otlp_source_invalid_type(self): + """Concrete OTLP classes reject a mismatched Literal type value.""" + with pytest.raises(ValueError): + OTLPLogsSource(type="kafka", id="src") + + def test_otlp_source_missing_id(self): + with pytest.raises(ValueError): + OTLPLogsSource() + + def test_otlp_source_from_dict(self): + data = {"type": "otlp.traces", "id": "t-src"} + src = OTLPTracesSource.model_validate(data) + assert src.id == "t-src" + + def test_otlp_source_isinstance_base(self): + """All concrete OTLP types are instances of OTLPSource.""" + assert isinstance(OTLPLogsSource(id="x"), OTLPSource) + assert isinstance(OTLPMetricsSource(id="x"), OTLPSource) + assert isinstance(OTLPTracesSource(id="x"), OTLPSource) + + +class TestOTLPDeduplication: + """Tests for DeduplicationConfig used with OTLP sources.""" + + def test_otlp_deduplication_enabled(self): + d = DeduplicationConfig(enabled=True, key="trace_id", time_window="1h") + assert d.enabled is True + assert d.key == "trace_id" + assert d.time_window == "1h" + + def test_otlp_deduplication_disabled(self): + d = DeduplicationConfig(enabled=False) + assert d.enabled is False + assert d.key is None + assert d.time_window is None + + def test_otlp_deduplication_defaults(self): + d = DeduplicationConfig() + assert d.enabled is False diff --git a/tests/test_models/test_topic.py b/tests/test_models/test_topic.py index 2ed1ed7..8c60831 100644 --- a/tests/test_models/test_topic.py +++ b/tests/test_models/test_topic.py @@ -1,6 +1,129 @@ import pytest from glassflow.etl import models +from glassflow.etl.models.sources import SchemaRegistry, TopicConfig + + +class TestSchemaRegistry: + """Tests for the SchemaRegistry model.""" + + def test_schema_registry_creation(self): + reg = SchemaRegistry( + url="https://schema-registry.example.com", + api_key="key123", + api_secret="secret456", + ) + assert reg.url == "https://schema-registry.example.com" + assert reg.api_key == "key123" + assert reg.api_secret == "secret456" + + def test_schema_registry_from_dict(self): + reg = SchemaRegistry.model_validate( + { + "url": "https://sr.example.com", + "api_key": "k", + "api_secret": "s", + } + ) + assert reg.url == "https://sr.example.com" + + def test_schema_registry_missing_required_field(self): + with pytest.raises(ValueError): + SchemaRegistry(url="https://sr.example.com", api_key="k") + + +class TestTopicConfigExtended: + """Tests for extended TopicConfig fields (id, schema_registry, schema_fields).""" + + def test_topic_config_with_id(self): + topic = TopicConfig(name="user_events", id="src-events") + assert topic.id == "src-events" + assert topic.effective_id == "src-events" + + def test_topic_config_without_id_effective_id_falls_back_to_name(self): + topic = TopicConfig(name="user_events") + assert topic.id is None + assert topic.effective_id == "user_events" + + def test_topic_config_with_schema_registry(self): + topic = TopicConfig( + name="events", + schema_registry=SchemaRegistry( + url="https://sr.example.com", + api_key="k", + api_secret="s", + ), + schema_version="1", + ) + assert topic.schema_registry is not None + assert topic.schema_registry.url == "https://sr.example.com" + + def test_topic_config_schema_registry_requires_version(self): + """schema_version is required when schema_registry is provided.""" + with pytest.raises(ValueError, match="schema_version is required"): + TopicConfig( + name="events", + schema_registry=SchemaRegistry( + url="https://sr.example.com", + api_key="k", + api_secret="s", + ), + ) + + def test_topic_config_with_schema_version(self): + topic = TopicConfig(name="events", schema_version="2") + assert topic.schema_version == "2" + + def test_topic_config_schema_registry_and_version_optional(self): + topic = TopicConfig(name="events") + assert topic.schema_registry is None + assert topic.schema_version is None + + def test_topic_config_with_schema_registry_from_dict(self): + data = { + "name": "events", + "id": "ev-src", + "schema_registry": { + "url": "https://sr.example.com", + "api_key": "key", + "api_secret": "secret", + }, + "schema_version": "3", + } + topic = TopicConfig.model_validate(data) + assert topic.id == "ev-src" + assert topic.schema_registry.api_key == "key" + assert topic.schema_version == "3" + + def test_topic_config_with_schema_fields(self): + topic = TopicConfig( + name="events", + schema_fields=[ + models.KafkaField(name="id", type=models.KafkaDataType.STRING), + models.KafkaField(name="value", type=models.KafkaDataType.INT64), + ], + ) + assert topic.schema_fields is not None + assert len(topic.schema_fields) == 2 + assert topic.schema_fields[0].name == "id" + assert topic.schema_fields[0].type == models.KafkaDataType.STRING + + def test_topic_config_schema_fields_optional(self): + topic = TopicConfig(name="events") + assert topic.schema_fields is None + + def test_topic_config_schema_fields_from_dict(self): + data = { + "name": "events", + "schema_fields": [ + {"name": "session_id", "type": "string"}, + {"name": "user_id", "type": "string"}, + ], + } + topic = TopicConfig.model_validate(data) + assert topic.schema_fields is not None + assert len(topic.schema_fields) == 2 + assert topic.schema_fields[0].name == "session_id" class TestTopicConfig: @@ -13,14 +136,12 @@ def test_topic_config_creation(self): consumer_group_initial_offset=models.ConsumerGroupOffset.EARLIEST, deduplication=models.DeduplicationConfig( enabled=True, - id_field="id", - id_field_type=models.KafkaDataType.STRING, + key="id", time_window="1h", ), ) assert config.name == "test-topic" - assert config.deduplication.id_field == "id" - assert config.deduplication.id_field_type == models.KafkaDataType.STRING + assert config.deduplication.key == "id" def test_topic_config_with_disabled_deduplication(self): """Test TopicConfig with disabled deduplication.""" @@ -52,24 +173,14 @@ def test_topic_config_replicas_validation(self): class TestPipelineConfigDeduplicationValidation: - """Tests for PipelineConfig deduplication ID field validation.""" + """Tests for PipelineConfig deduplication key field validation.""" - def test_deduplication_id_field_validation_valid(self): + def test_deduplication_key_field_validation_valid_with_fields(self): """ - Test PipelineConfig validation for deduplication ID field with valid field. + Test PipelineConfig validation for deduplication key with topic fields defined + and the key present. """ - schema = models.Schema( - fields=[ - models.SchemaField( - source_id="test-topic", - name="id", - type=models.KafkaDataType.STRING, - column_name="id", - column_type=models.ClickhouseDataType.STRING, - ), - ] - ) - source = models.SourceConfig( + source = models.KafkaSource( type=models.SourceType.KAFKA, connection_params=models.KafkaConnectionParams( brokers=["localhost:9092"], @@ -80,20 +191,24 @@ def test_deduplication_id_field_validation_valid(self): name="test-topic", deduplication=models.DeduplicationConfig( enabled=True, - id_field="id", - id_field_type=models.KafkaDataType.STRING, + key="id", time_window="1h", ), + schema_fields=[ + models.KafkaField(name="id", type=models.KafkaDataType.STRING), + ], ), ], ) sink = models.SinkConfig( type=models.SinkType.CLICKHOUSE, - host="localhost", - port="9000", - database="test", - username="default", - password="", + connection_params=models.ClickhouseConnectionParams( + host="localhost", + port="9000", + database="test", + username="default", + password="", + ), table="test_table", ) @@ -102,26 +217,58 @@ def test_deduplication_id_field_validation_valid(self): pipeline_id="test-pipeline", source=source, sink=sink, - schema=schema, ) assert config.pipeline_id == "test-pipeline" - def test_deduplication_id_field_validation_invalid(self): + def test_deduplication_key_field_validation_valid_without_fields(self): """ - Test PipelineConfig validation for deduplication ID field with invalid field. + Test PipelineConfig validation for deduplication key when topic has no fields + defined — validation is skipped. """ - schema = models.Schema( - fields=[ - models.SchemaField( - source_id="test-topic", - name="name", - type=models.KafkaDataType.STRING, - column_name="name", - column_type=models.ClickhouseDataType.STRING, + source = models.KafkaSource( + type=models.SourceType.KAFKA, + connection_params=models.KafkaConnectionParams( + brokers=["localhost:9092"], + protocol=models.KafkaProtocol.PLAINTEXT, + ), + topics=[ + models.TopicConfig( + name="test-topic", + deduplication=models.DeduplicationConfig( + enabled=True, + key="non-existent-field", + time_window="1h", + ), + # No schema_fields — validation skipped ), - ] + ], ) - source = models.SourceConfig( + sink = models.SinkConfig( + type=models.SinkType.CLICKHOUSE, + connection_params=models.ClickhouseConnectionParams( + host="localhost", + port="9000", + database="test", + username="default", + password="", + ), + table="test_table", + ) + + # Should not raise because no schema_fields defined + config = models.PipelineConfig( + pipeline_id="test-pipeline", + source=source, + sink=sink, + ) + assert config.pipeline_id == "test-pipeline" + + def test_deduplication_key_field_validation_invalid(self): + """ + Test PipelineConfig validation for deduplication key with invalid field + (schema_fields defined but key not in them). + """ + source = models.KafkaSource( type=models.SourceType.KAFKA, connection_params=models.KafkaConnectionParams( brokers=["localhost:9092"], @@ -132,20 +279,26 @@ def test_deduplication_id_field_validation_invalid(self): name="test-topic", deduplication=models.DeduplicationConfig( enabled=True, - id_field="non-existent-field", - id_field_type=models.KafkaDataType.STRING, + key="non-existent-field", time_window="1h", ), + schema_fields=[ + models.KafkaField( + name="name", type=models.KafkaDataType.STRING + ), + ], ), ], ) sink = models.SinkConfig( type=models.SinkType.CLICKHOUSE, - host="localhost", - port="9000", - database="test", - username="default", - password="", + connection_params=models.ClickhouseConnectionParams( + host="localhost", + port="9000", + database="test", + username="default", + password="", + ), table="test_table", ) @@ -154,6 +307,5 @@ def test_deduplication_id_field_validation_invalid(self): pipeline_id="test-pipeline", source=source, sink=sink, - schema=schema, ) - assert "not found in schema" in str(exc_info.value) + assert "not found in fields" in str(exc_info.value) diff --git a/tests/test_pipeline.py b/tests/test_pipeline.py index fe602a1..d100d05 100644 --- a/tests/test_pipeline.py +++ b/tests/test_pipeline.py @@ -74,6 +74,70 @@ def test_create_http_error_scenarios(self, pipeline, scenario): assert scenario["error_message"] in str(exc_info.value) +class TestPipelineGet: + """Tests for Pipeline.get() including schema version selection.""" + + def test_get_without_schema_versions( + self, pipeline, mock_success, get_pipeline_response, get_health_payload + ): + """get() with no args sends a plain GET with no query params.""" + with mock_success( + [get_pipeline_response, get_health_payload(pipeline.pipeline_id)] + ) as mock_request: + result = pipeline.get() + assert result == pipeline + get_call = mock_request.call_args_list[0] + assert get_call == call( + "GET", f"{pipeline.ENDPOINT}/{pipeline.pipeline_id}" + ) + + def test_get_with_schema_versions( + self, pipeline, mock_success, get_pipeline_response, get_health_payload + ): + """get(schema_versions=...) appends ?schema=sourceId:versionId params.""" + with mock_success( + [get_pipeline_response, get_health_payload(pipeline.pipeline_id)] + ) as mock_request: + result = pipeline.get(schema_versions={"src-logins": "1001"}) + assert result == pipeline + get_call = mock_request.call_args_list[0] + assert get_call == call( + "GET", + f"{pipeline.ENDPOINT}/{pipeline.pipeline_id}", + params=[("schema", "src-logins:1001")], + ) + + def test_get_with_multiple_schema_versions( + self, pipeline, mock_success, get_pipeline_response, get_health_payload + ): + """Multiple schema_versions entries produce multiple ?schema= params.""" + with mock_success( + [get_pipeline_response, get_health_payload(pipeline.pipeline_id)] + ) as mock_request: + pipeline.get(schema_versions={"src-logins": "1001", "src-orders": "2002"}) + get_call = mock_request.call_args_list[0] + params = ( + get_call.kwargs.get("params") or get_call.args[2] + if len(get_call.args) > 2 + else get_call.kwargs["params"] + ) + assert ("schema", "src-logins:1001") in params + assert ("schema", "src-orders:2002") in params + + def test_get_with_empty_schema_versions( + self, pipeline, mock_success, get_pipeline_response, get_health_payload + ): + """get(schema_versions={}) is treated the same as no schema_versions.""" + with mock_success( + [get_pipeline_response, get_health_payload(pipeline.pipeline_id)] + ) as mock_request: + pipeline.get(schema_versions={}) + get_call = mock_request.call_args_list[0] + assert get_call == call( + "GET", f"{pipeline.ENDPOINT}/{pipeline.pipeline_id}" + ) + + class TestPipelineLifecycle: """Tests for resume, stop, terminate, delete operations.""" @@ -236,7 +300,7 @@ def test_update_nested_config( ): """Test pipeline update with nested configuration.""" config_patch = models.PipelineConfigPatch( - source=models.SourceConfigPatch( + source=models.KafkaSourcePatch( connection_params=models.KafkaConnectionParamsPatch( brokers=["new-broker:9092"] ) diff --git a/tests/test_tracking.py b/tests/test_tracking.py index a76aaab..9195247 100644 --- a/tests/test_tracking.py +++ b/tests/test_tracking.py @@ -9,7 +9,7 @@ class TestTracking: def test_tracking_disabled(self, mock_track): """Test that tracking is not called when disabled.""" - with patch.dict(os.environ, {"GF_TRACKING_ENABLED": "false"}): + with patch.dict(os.environ, {"GF_USAGESTATS_ENABLED": "false"}): tracking = Tracking(distinct_id="distinct-id") assert not tracking.enabled @@ -18,7 +18,7 @@ def test_tracking_disabled(self, mock_track): def test_tracking_enabled(self, mock_track): """Test that tracking is called with correct data when enabled.""" - with patch.dict(os.environ, {"GF_TRACKING_ENABLED": "true"}): + with patch.dict(os.environ, {"GF_USAGESTATS_ENABLED": "true"}): tracking = Tracking(distinct_id="distinct-id") assert tracking.enabled @@ -39,7 +39,7 @@ def test_tracking_enabled_no_properties(self, mock_track): Test that tracking is called with only base properties when no additional properties are provided. """ - with patch.dict(os.environ, {"GF_TRACKING_ENABLED": "true"}): + with patch.dict(os.environ, {"GF_USAGESTATS_ENABLED": "true"}): tracking = Tracking(distinct_id="distinct-id") assert tracking.enabled @@ -56,7 +56,7 @@ def test_tracking_enabled_no_properties(self, mock_track): def test_tracking_error_handling(self, mock_track): """Test that tracking errors are handled gracefully.""" - with patch.dict(os.environ, {"GF_TRACKING_ENABLED": "true"}): + with patch.dict(os.environ, {"GF_USAGESTATS_ENABLED": "true"}): tracking = Tracking(distinct_id="distinct-id") assert tracking.enabled diff --git a/tests/test_utils.py b/tests/test_utils.py new file mode 100644 index 0000000..8a16d94 --- /dev/null +++ b/tests/test_utils.py @@ -0,0 +1,402 @@ +"""Tests for pipeline migration utilities.""" + +from glassflow.etl import models +from glassflow.etl.models.pipeline import PipelineVersion +from glassflow.etl.utils import migrate_pipeline_v2_to_v3 + + +def _v2_dedup_pipeline() -> dict: + return { + "version": "v2", + "pipeline_id": "dedup-pipeline", + "source": { + "type": "kafka", + "provider": "confluent", + "connection_params": { + "brokers": ["kafka:9092"], + "protocol": "SASL_SSL", + "mechanism": "SCRAM-SHA-256", + "username": "user", + "password": "pass", + }, + "topics": [ + { + "name": "users", + "consumer_group_initial_offset": "earliest", + "deduplication": { + "enabled": True, + "id_field": "event_id", + "id_field_type": "string", + "time_window": "1h", + }, + } + ], + }, + "schema": { + "fields": [ + { + "source_id": "users", + "name": "event_id", + "type": "string", + "column_name": "event_id", + "column_type": "String", + }, + { + "source_id": "users", + "name": "user_id", + "type": "string", + "column_name": "user_id", + "column_type": "String", + }, + ] + }, + "sink": { + "type": "clickhouse", + "host": "clickhouse", + "port": "9000", + "http_port": "8123", + "database": "default", + "username": "default", + "password": "secret", + "secure": False, + "table": "users_dedup", + "max_batch_size": 1000, + }, + "join": {"enabled": False}, + "filter": {"enabled": False}, + } + + +def _v2_join_pipeline() -> dict: + return { + "version": "v2", + "pipeline_id": "join-pipeline", + "source": { + "type": "kafka", + "provider": "aiven", + "connection_params": { + "brokers": ["kafka:9092"], + "protocol": "SASL_SSL", + "mechanism": "SCRAM-SHA-256", + "username": "user", + "password": "pass", + }, + "topics": [ + { + "name": "user-logins", + "consumer_group_initial_offset": "earliest", + "deduplication": { + "enabled": True, + "id_field": "session_id", + "id_field_type": "string", + "time_window": "12h", + }, + }, + { + "name": "orders", + "consumer_group_initial_offset": "earliest", + "deduplication": { + "enabled": True, + "id_field": "order_id", + "id_field_type": "string", + "time_window": "12h", + }, + }, + ], + }, + "schema": { + "fields": [ + { + "source_id": "user-logins", + "name": "session_id", + "type": "string", + "column_name": "session_id", + "column_type": "String", + }, + { + "source_id": "user-logins", + "name": "user_id", + "type": "string", + "column_name": "user_id", + "column_type": "String", + }, + { + "source_id": "orders", + "name": "order_id", + "type": "string", + "column_name": "order_id", + "column_type": "String", + }, + { + "source_id": "orders", + "name": "user_id", + "type": "string", + "column_name": "order_user_id", + "column_type": "String", + }, + ] + }, + "join": { + "enabled": True, + "type": "temporal", + "sources": [ + { + "source_id": "user-logins", + "join_key": "user_id", + "join_key_type": "string", + "time_window": "1h", + "orientation": "left", + }, + { + "source_id": "orders", + "join_key": "user_id", + "join_key_type": "string", + "time_window": "1h", + "orientation": "right", + }, + ], + }, + "sink": { + "type": "clickhouse", + "host": "clickhouse", + "port": "9000", + "database": "default", + "username": "default", + "password": "secret", + "secure": False, + "table": "user_orders", + }, + } + + +def _v2_transform_pipeline() -> dict: + return { + "version": "v2", + "pipeline_id": "transform-pipeline", + "source": { + "type": "kafka", + "provider": "confluent", + "connection_params": { + "brokers": ["kafka:9092"], + "protocol": "SASL_SSL", + "mechanism": "SCRAM-SHA-256", + "username": "user", + "password": "pass", + }, + "topics": [ + { + "name": "users", + "consumer_group_initial_offset": "earliest", + "deduplication": {"enabled": False}, + } + ], + }, + "stateless_transformation": { + "enabled": True, + "id": "upper_transform", + "type": "expr_lang_transform", + "source_id": "users", + "config": { + "transform": [ + { + "expression": "upper(name)", + "output_name": "upper_name", + "output_type": "string", + }, + { + "expression": "user_id", + "output_name": "user_id", + "output_type": "string", + }, + ] + }, + }, + "schema": { + "fields": [ + { + "source_id": "upper_transform", + "name": "user_id", + "type": "string", + "column_name": "user_id", + "column_type": "String", + }, + { + "source_id": "upper_transform", + "name": "upper_name", + "type": "string", + "column_name": "upper_name", + "column_type": "String", + }, + ] + }, + "join": {"enabled": False}, + "sink": { + "type": "clickhouse", + "host": "clickhouse", + "port": "9000", + "database": "default", + "username": "default", + "password": "secret", + "secure": False, + "table": "users_transformed", + }, + } + + +class TestMigratePipelineV2ToV3: + def test_returns_pipeline_config(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + assert isinstance(result, models.PipelineConfig) + + def test_version_set_to_v3(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + assert result.version == PipelineVersion.V3 + + def test_pipeline_id_preserved(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + assert result.pipeline_id == "dedup-pipeline" + + # --- deduplication --------------------------------------------------- + + def test_dedup_id_field_migrated_to_key(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + assert result.source.topics[0].deduplication.key == "event_id" + + def test_dedup_id_field_type_removed(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + dedup = result.source.topics[0].deduplication + assert not hasattr(dedup, "id_field_type") + + def test_dedup_time_window_preserved(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + assert result.source.topics[0].deduplication.time_window == "1h" + + # --- topic schema_fields from top-level schema ----------------------- + + def test_topic_schema_fields_migrated(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + topic = result.source.topics[0] + assert topic.schema_fields is not None + names = [f.name for f in topic.schema_fields] + assert "event_id" in names + assert "user_id" in names + + def test_top_level_schema_removed(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + assert "schema" not in result.model_fields_set + + # --- sink connection_params ------------------------------------------ + + def test_sink_connection_params_nested(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + cp = result.sink.connection_params + assert cp.host == "clickhouse" + assert cp.port == "9000" + assert cp.database == "default" + + def test_sink_flat_fields_removed(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + sink_dict = result.sink.model_dump() + assert "host" not in sink_dict + assert "port" not in sink_dict + + # --- sink mapping from top-level schema ------------------------------ + + def test_sink_mapping_created(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + assert result.sink.mapping is not None + assert len(result.sink.mapping) == 2 + + def test_sink_mapping_names(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + names = [m.name for m in result.sink.mapping] + assert "event_id" in names + assert "user_id" in names + + def test_sink_source_id_derived_from_schema(self): + result = migrate_pipeline_v2_to_v3(_v2_dedup_pipeline()) + assert result.sink.source_id == "users" + + # --- join ------------------------------------------------------------ + + def test_join_key_migrated_from_join_key(self): + result = migrate_pipeline_v2_to_v3(_v2_join_pipeline()) + for src in result.join.sources: + assert src.key == "user_id" + + def test_join_key_type_removed(self): + result = migrate_pipeline_v2_to_v3(_v2_join_pipeline()) + for src in result.join.sources: + assert not hasattr(src, "join_key_type") + + def test_join_fields_populated_from_schema(self): + result = migrate_pipeline_v2_to_v3(_v2_join_pipeline()) + assert result.join.fields is not None + field_pairs = {(f.source_id, f.name) for f in result.join.fields} + assert ("user-logins", "session_id") in field_pairs + assert ("user-logins", "user_id") in field_pairs + assert ("orders", "order_id") in field_pairs + assert ("orders", "user_id") in field_pairs + + def test_join_orientations_preserved(self): + result = migrate_pipeline_v2_to_v3(_v2_join_pipeline()) + orientations = {s.source_id: s.orientation for s in result.join.sources} + assert orientations["user-logins"] == models.JoinOrientation.LEFT + assert orientations["orders"] == models.JoinOrientation.RIGHT + + def test_multiple_topic_schema_fields(self): + result = migrate_pipeline_v2_to_v3(_v2_join_pipeline()) + topic_names = [t.name for t in result.source.topics] + assert "user-logins" in topic_names + assert "orders" in topic_names + for topic in result.source.topics: + assert topic.schema_fields is not None + + # --- input is not mutated -------------------------------------------- + + def test_original_dict_not_mutated(self): + original = _v2_dedup_pipeline() + migrate_pipeline_v2_to_v3(original) + assert original["version"] == "v2" + assert "id_field" in original["source"]["topics"][0]["deduplication"] + assert "schema" in original + assert "host" in original["sink"] + + +class TestMigratePipelineV2ToV3WithTransformation: + def test_returns_pipeline_config(self): + result = migrate_pipeline_v2_to_v3(_v2_transform_pipeline()) + assert isinstance(result, models.PipelineConfig) + + def test_transformation_preserved(self): + result = migrate_pipeline_v2_to_v3(_v2_transform_pipeline()) + st = result.stateless_transformation + assert st.enabled is True + assert st.id == "upper_transform" + assert st.source_id == "users" + + def test_transformation_config_preserved(self): + result = migrate_pipeline_v2_to_v3(_v2_transform_pipeline()) + transform = result.stateless_transformation.config.transform[0] + assert transform.expression == "upper(name)" + assert transform.output_name == "upper_name" + + def test_sink_source_id_derived_from_transformation(self): + """sink.source_id should point to the transformation, not the topic.""" + result = migrate_pipeline_v2_to_v3(_v2_transform_pipeline()) + assert result.sink.source_id == "upper_transform" + + def test_sink_mapping_includes_transformation_output(self): + result = migrate_pipeline_v2_to_v3(_v2_transform_pipeline()) + names = [m.name for m in result.sink.mapping] + assert "upper_name" in names + + def test_sink_mapping_includes_source_fields(self): + result = migrate_pipeline_v2_to_v3(_v2_transform_pipeline()) + names = [m.name for m in result.sink.mapping] + assert "user_id" in names + + def test_sink_connection_params_nested(self): + result = migrate_pipeline_v2_to_v3(_v2_transform_pipeline()) + assert result.sink.connection_params.host == "clickhouse" + assert result.sink.connection_params.database == "default" diff --git a/uv.lock b/uv.lock index af44414..43caad3 100644 --- a/uv.lock +++ b/uv.lock @@ -1,375 +1,675 @@ version = 1 -revision = 3 +revision = 1 requires-python = ">=3.9, <3.14" +resolution-markers = [ + "python_full_version >= '3.10'", + 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