clari-local-dev-loop

# Clari Local Dev Loop ## Overview Local development workflow for Clari integrations: mock forecast data for offline testing, schedule recurring exports, and build data transformation pipelines. ## Prerequisites - Completed `clari-install-auth` setup - Python 3.10+ or Node.js 18+ - Local database or data warehouse access for testing ## Instructions ### Step 1: Project Structure ``` clari-integration/ ├── src/ │ ├── clari_client.py # API client wrapper │ ├── export_pipeline.py # Export and transform pipeline │ ├── models.py # Data models for forecast data │ └── config.py # Environment config ├── tests/ │ ├── fixtures/ │ │ ├── forecast_export.json # Sample export response │ │ └── job_status.json # Sample job status │ └── test_pipeline.py ├── .env.local # Dev credentials (git-ignored) ├── .env.example └── requirements.txt ``` ### Step 2: Mock Forecast Data for Testing ```python # tests/fixtures/forecast_export.json MOCK_FORECAST = { "entries": [ { "ownerName": "Jane Smith", "ownerEmail": "jane@example.com", "forecastAmount": 250000, "quotaAmount": 300000, "crmTotal": 180000, "crmClosed": 120000, "adjustmentAmount": 15000, "timePeriod": "2026_Q1" }, { "ownerName": "Bob Johnson", "ownerEmail": "bob@example.com", "forecastAmount": 180000,...