Developer Issue Intelligence Platform (DIIP)

Flagship Django Backend System
Full-cycle issue aggregation, analysis, and insight delivery system for developer productivity and team intelligence.
Goal: Demonstrate employability-level backend mastery — authentication, APIs, background tasks, error handling, logging, analytics, integration, and scalability.

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Problem Understanding

Modern software teams rely on multiple tools — GitHub, Jira, Slack, Stack Overflow, etc. — to track and resolve issues.
These tools generate fragmented data and create major inefficiencies:

• Bug reports scattered across repositories and projects
• No unified dashboard for issue trends or bottlenecks
• Time wasted on duplicate or low-priority triage
• No proactive alerts for spikes or degradation

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Vision

To build a Developer Issue Intelligence Platform (DIIP) — an intelligent backend that unifies developer issue data, normalizes it, analyzes trends, and surfaces actionable insights.

Current Phase (v1)

Focused on backend fundamentals — authentication, API design, observability, and Celery-based background processing.

Future Phase (v2+)

Introduce ML-based prediction for duplicate issues, bottleneck identification, and resolution prioritization.

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System Goals

Goal	Description
✅ Unified Data	Centralize issues from GitHub, Jira, and other APIs
✅ Developer-first Design	Secure registration, JWT auth, and multi-project ownership
✅ Reliability	Graceful handling of API failures and rate limits
✅ Observability	Logs, metrics, and admin dashboards
✅ Scalability	Celery + Redis-based async tasks
✅ Insightful Analytics	Real-time and aggregated issue metrics

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System Overview

Core Functional Modules

• Authentication & User Management — JWT auth, registration, and roles
• Project & Integration Management — Link GitHub/Jira securely
• Data Ingestion & Synchronization — Periodic background jobs via Celery
• Analytics Engine — Compute summaries and spikes
• Error Logging & Monitoring — Structured logs, retries, and health checks
• Admin Console — Health status, degraded integrations

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Low-Level Architecture

5.1 Actors

• Developer/User — Registers, links projects, views analytics
• Admin — Monitors system, manages degraded integrations
• External APIs — GitHub, Jira, StackOverflow
• System Components — Django, Celery, Redis, PostgreSQL

5.2 Components

Component	Description
Django + DRF	Core REST API
Celery + Redis	Background jobs
PostgreSQL	Database
Redis	Message broker + cache
Sentry	Observability
Gunicorn / Nginx	Deployment-ready stack

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Data Flow (Step-by-Step)

1. User Registration → /api/auth/register/
   Creates user and issues JWT on login

2. Integration Setup → /api/projects/{id}/integrations/github/connect/
   Token stored securely (Fernet encryption)

3. Issue Sync (Celery Task) → sync_project_issues(project_id)
   Fetch → Normalize → Store → Log

4. Analytics Aggregation → aggregate_analytics(project_id)
   Compute totals, averages, and spikes

5. Error Handling → Retries, exponential backoff, mark as degraded

6. Visualization → /api/projects/{id}/analytics/summary/

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Database Schema (Simplified)

Table	Fields
User	id, email, password_hash, is_active, created_at
Project	id, owner_id, name, repo_identifier, last_synced_at
Integration	id, project_id, provider, token_encrypted, status
Issue	id, project_id, title, body, source_issue_id, status
ApiLog	id, integration_id, endpoint, status_code, response_time_ms, success
AnalyticsSummary	id, project_id, total_issues, avg_resolution_time, spike_detected

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API Endpoints

Category	Endpoint	Method	Description
Auth	/api/auth/register/	POST	User registration
Auth	/api/auth/login/	POST	Get JWT token
Auth	/api/auth/refresh/	POST	Refresh JWT
Projects	/api/projects/	GET/POST	Manage projects
Integrations	/api/projects/{id}/integrations/github/connect/	POST	Connect GitHub
Issues	/api/projects/{id}/issues/	GET	List issues
Analytics	/api/projects/{id}/analytics/summary/	GET	Project analytics
Admin	/api/admin/health/	GET	Health status
Admin	/tasks/dashboard/	GET	Admin-only Celery dashboard

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Background Tasks (Celery)

• sync_project_issues → Fetch and store issues
• process_issue → Normalize and enrich
• aggregate_analytics → Compute summaries
• notify_spike → Send alerts
• retry_failed_api → Retry failed API calls

All tasks are idempotent, logged, and fault-tolerant.

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Security & Reliability

• Passwords hashed (PBKDF2 / Argon2)
• Tokens encrypted using Fernet
• JWT-based access and refresh tokens
• Role-based permissions (admin, developer)
• Rate-limit aware API calls
• CSRF and CORS protection configured

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Observability

• Structured logging (user_id, project_id, integration_id)
• Sentry integration for exception tracking
• /api/admin/health/ for system status (DB, Redis, Celery)
• Alerts via email or Slack webhook for degraded systems

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Deployment

# PostgreSQL + Redis installation
sudo apt install postgresql redis-server

# Environment setup
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

# Database setup
python manage.py migrate
python manage.py createsuperuser

# Start development server
python manage.py runserver

# Start Celery worker
celery -A diip worker -l info --pool=solo

# (Optional) Celery beat for periodic jobs
celery -A diip beat -l info

Implementation Roadmap & Progress

Implementation Roadmap

Milestone	Deliverable
M1	Project setup + PostgreSQL + Redis
M2	User registration + JWT auth
M3	Project & Integration models
M4	GitHub sync (manual token)
M5	Celery background jobs
M6	Analytics module
M7	Error handling + logging
M8	Admin dashboard + health checks
M9	Deployment configuration
M10	Integrate Jira/StackOverflow
M11	Add ML-based duplicate detection

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Current Progress (Phase-1)

✅ Django project scaffolding complete
✅ JWT authentication implemented
✅ Role-based access (IsAdminOrReadOnly) added
✅ Celery + Redis operational for background tasks
✅ Periodic cleanup via Celery Beat configured
✅ Structured reliability layer (auto-retry + logging) in progress
🛡️ Security & Governance module initiated — endpoint hardening, audit controls
🔜 Next: GitHub + Jira integration and issue ingestion pipeline

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Local Testing Example

# Get JWT token
POST http://127.0.0.1:8000/api/token/
{
  "username": "admin",
  "password": "password"
}

# Test admin-only endpoint
GET http://127.0.0.1:8000/tasks/dashboard/
Authorization: Bearer <access_token>

Tech Stack Overview

Category	Technology
Language	Python 3.13
Framework	Django + Django REST Framework
Async	Celery
Broker	Redis
Auth	SimpleJWT
DB	SQLite / PostgreSQL
Testing	Thunder Client
Deployment	Gunicorn + Nginx (optional)

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