amo-server/docs/implementation-status.md

AMO CRM Service - Implementation Status

✅ COMPLETED IMPLEMENTATION

All core functionality has been implemented and is ready for testing and deployment.

---

🎯 Completed Components

1. AMO CRM API Client ✅

• File: adapters/amocrm_client.py
• Features:
  • Generic fetch_entity_data() method for all entity types
  • Support for pagination, incremental updates, and filtering
  • Proper type annotations
  • All entity-specific methods (deals, contacts, companies, users, pipelines, events)

2. Google Sheets Integration ✅

• File: adapters/google_sheets_client.py
• Features:
  • Service account authentication
  • Write, clear, and append data operations
  • Automatic sheet creation
  • Header row formatting (bold, frozen)
  • Batch updates support

3. Sync Server ✅

• File: servers/sync_server.py
• Features:
  • Process sync jobs from FastStream queue
  • Full sync and incremental sync support
  • Integration with data ingestion endpoints
  • Incremental update tracking via entity timestamps
  • Batch processing with configurable sizes

4. Job Server ✅

• File: servers/job_server.py
• Features:
  • Queue export and sync jobs via Redis/FastStream
  • Job status tracking in database
  • List and filter jobs
  • Update job progress and status

5. Export Server ✅

• File: servers/export_server.py
• Features:
  • Process export jobs from queue
  • Retrieve data from database with date filtering
  • Format data according to field mappings
  • Export to Google Sheets with proper formatting
  • Support for custom fields
  • Job progress tracking

6. API Routers ✅

All routers are complete and functional:

a. AMO CRM Router (routers/amocrm.py)

• Fetch entities directly from AMO CRM
• Fetch custom field metadata
• Sync endpoint - fetches from AMO CRM and stores in database
• Connection info endpoint

b. Data Ingestion Router (routers/data.py)

• Endpoints for all entity types (deals, contacts, companies, users, pipelines, events)
• Support for custom fields and relationships
• Upsert, insert, and replace modes

c. Export Router (routers/export.py)

• Create and manage export configurations
• Start export jobs (async processing)
• Track job status and progress
• Queue sync jobs
• Schedule refresh jobs

7. Background Workers ✅

• File: workers/broker.py
• Features:
  • Process export jobs
  • Process sync jobs
  • Process scheduled refresh jobs
  • Dead letter queue handling
  • Logging and error handling

8. Task Scheduler ✅

• File: workers/scheduler.py
• Features:
  • Periodic data refresh for all entity types
  • Configurable schedules (cron-based)
  • Different intervals per entity type

---

🏗️ Architecture Overview

┌─────────────────────────────────────────────────────────────────┐
│                         AMO CRM API                              │
│                     (wecheap.amocrm.ru)                         │
└─────────────────────┬───────────────────────────────────────────┘
                      │
                      ↓
┌─────────────────────────────────────────────────────────────────┐
│                  AMO CRM API Client                              │
│            (adapters/amocrm_client.py)                          │
└─────────────────────┬───────────────────────────────────────────┘
                      │
                      ↓
┌─────────────────────────────────────────────────────────────────┐
│                    FastAPI Routers                               │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐         │
│  │   AMO CRM    │  │     Data     │  │    Export    │         │
│  │    Router    │  │   Ingestion  │  │    Router    │         │
│  └──────────────┘  └──────────────┘  └──────────────┘         │
└───────────┬────────────────┬────────────────┬──────────────────┘
            │                │                │
            ↓                ↓                ↓
┌─────────────────────────────────────────────────────────────────┐
│                  SQLite Database                                 │
│  (Users, Pipelines, Deals, Contacts, Companies, Events,         │
│   Custom Fields, Export Configurations, Jobs)                   │
└───────────────────┬─────────────────────────────────────────────┘
                    │
                    ↓
┌─────────────────────────────────────────────────────────────────┐
│               FastStream/Redis Message Broker                    │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐         │
│  │ Export Queue │  │  Sync Queue  │  │Refresh Queue │         │
│  └──────────────┘  └──────────────┘  └──────────────┘         │
└───────────┬────────────────┬────────────────┬──────────────────┘
            │                │                │
            ↓                ↓                ↓
┌─────────────────────────────────────────────────────────────────┐
│                    Background Workers                            │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐         │
│  │Export Server │  │ Sync Server  │  │  Scheduler   │         │
│  └──────────────┘  └──────────────┘  └──────────────┘         │
└───────────┬─────────────────────────────────────────────────────┘
            │
            ↓
┌─────────────────────────────────────────────────────────────────┐
│                    Google Sheets API                             │
│            (Google Sheets Client)                                │
└─────────────────────────────────────────────────────────────────┘

---

🚀 How to Use

1. Setup Environment Variables

Create a .env file with:

# AMO CRM Configuration
AMO_CRM_DOMAIN=wecheap.amocrm.ru
AMO_CRM_ACCESS_TOKEN=your_token_here

# Google Sheets Configuration
GOOGLE_SERVICE_ACCOUNT_FILE=credentials/google.json
GOOGLE_SCOPES=https://www.googleapis.com/auth/spreadsheets

# Redis Configuration
REDIS_URL=redis://localhost:6379/0

# API Configuration
API_V1_STR=/api/v1
LOG_LEVEL=INFO

2. Run Database Migrations

cd adapters/sqlite
alembic upgrade head

3. Start Services

Option A: Development (separate terminals)

# Terminal 1: FastAPI server
uvicorn app:app --reload --host 0.0.0.0 --port 8000

# Terminal 2: FastStream worker
python -m workers.broker

# Terminal 3 (optional): Task scheduler
python -m workers.scheduler

Option B: Docker Compose

docker-compose up -d

4. Test the Service

Fetch data from AMO CRM:

curl http://localhost:8000/api/v1/amocrm/fetch/deals?limit=10

Sync data to database:

curl -X POST http://localhost:8000/api/v1/amocrm/sync/deals?limit=250

Create export configuration:

curl -X POST http://localhost:8000/api/v1/export/configure \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Monthly Export",
    "sheet_id": "YOUR_GOOGLE_SHEET_ID",
    "entity_mappings": {
      "deals": {
        "sheet_name": "Deals",
        "is_enabled": true,
        "field_mapping": [
          {"field_name": "id", "column": "A", "order": 1},
          {"field_name": "name", "column": "B", "order": 2},
          {"field_name": "price", "column": "C", "order": 3}
        ]
      }
    }
  }'

Start export job:

curl -X POST http://localhost:8000/api/v1/export/start \
  -H "Content-Type: application/json" \
  -d '{"configuration_id": 1}'

Check job status:

curl http://localhost:8000/api/v1/export/status/1

---

📋 API Endpoints Summary

AMO CRM Routes (/api/v1/amocrm)

• GET /fetch/{entity_type} - Fetch data directly from AMO CRM
• GET /fetch/custom_fields/{entity_type} - Fetch custom field metadata
• GET /fetch/all - Fetch all data for testing
• POST /sync/{entity_type} - Sync data from AMO CRM to database
• GET /info - Get connection info

Data Ingestion Routes (/api/v1/data)

• POST /users - Ingest users
• POST /pipelines - Ingest pipelines
• POST /companies - Ingest companies
• POST /contacts - Ingest contacts
• POST /deals - Ingest deals
• POST /events - Ingest events

Export Routes (/api/v1/export)

• POST /configure - Create export configuration
• GET /configurations - List configurations
• POST /start - Start export job
• GET /status/{job_id} - Get job status
• GET /jobs - List all jobs
• POST /sync - Queue sync job
• POST /refresh/{entity_type} - Schedule refresh

---

🔧 Configuration

Google Sheets Setup

1. Create a service account in Google Cloud Console
2. Download the JSON key file
3. Save it to credentials/google.json
4. Share your Google Sheet with the service account email

Redis Setup

For Docker:

services:
  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"

For local development:

# Install Redis
# Ubuntu/Debian
sudo apt-get install redis-server

# macOS
brew install redis

# Start Redis
redis-server

---

⏰ Scheduled Tasks

The scheduler runs periodic data refreshes:

Entity Type	Schedule	Cron Expression
Events	Every 2 hours	0 */2 * * *
Contacts	Every 4 hours	0 */4 * * *
Deals	Every 6 hours	0 */6 * * *
Companies	Every 8 hours	0 */8 * * *
Users	Every 12 hours	0 */12 * * *
Pipelines	Daily	0 */24 * * *

---

🐛 Known Issues & Notes

Type Checker Warnings

Some linter warnings about SQLAlchemy Column assignments are false positives. SQLAlchemy uses the descriptor protocol which confuses static type checkers. These don't affect runtime behavior.

Google Sheets API

• Requires service account credentials
• Rate limits: 100 requests per 100 seconds per user
• Each sheet can have max 10 million cells

Database

• SQLite is used for simplicity
• For production, consider PostgreSQL for better concurrency
• Regular backups recommended

---

📊 Next Steps

1. Testing:

   • Test with real AMO CRM credentials
   • Verify Google Sheets export
   • Load testing with large datasets

2. Deployment:

   • Set up production environment variables
   • Configure NGINX reverse proxy
   • Set up monitoring and logging

3. Enhancements:

   • Add authentication/authorization
   • Implement webhook receivers for real-time updates
   • Add more entity types if needed
   • Implement data validation and error recovery

4. Documentation:

   • API documentation with OpenAPI/Swagger
   • User guide for configuration
   • Troubleshooting guide

---

🎉 Summary

The AMO CRM Data Collection Service is now fully implemented with:

✅ Complete AMO CRM API integration ✅ SQLite database with all entity types ✅ Background job processing with FastStream/Redis ✅ Google Sheets export functionality ✅ Scheduled data synchronization ✅ RESTful API with comprehensive endpoints ✅ Docker support for easy deployment

The service is ready for testing and deployment!