# 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:
```env
# 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
```bash
cd adapters/sqlite
alembic upgrade head
```

### 3. Start Services

#### Option A: Development (separate terminals)
```bash
# 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
```bash
docker-compose up -d
```

### 4. Test the Service

#### Fetch data from AMO CRM:
```bash
curl http://localhost:8000/api/v1/amocrm/fetch/deals?limit=10
```

#### Sync data to database:
```bash
curl -X POST http://localhost:8000/api/v1/amocrm/sync/deals?limit=250
```

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

#### Check job status:
```bash
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:
```yaml
services:
  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
```

For local development:
```bash
# 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!