ilia
5df21d82f4
- ruff: fix all 328 errors (autofix + manual); move config to [tool.ruff.lint] - mypy: fix all errors (annotations, nullable-column guards, stale kwargs in weekly report caller) - black: reformat src/tests so black --check passes - CI: remove `|| true` from ruff/black/mypy/pytest steps in both .gitea and .github workflows; install project deps and add mypy step in gitea python-ci so gates actually run - docs: move 14 root status/guide markdown files into docs/, update links
117 lines
3.3 KiB
Markdown
117 lines
3.3 KiB
Markdown
# Offline Demo - Works Without Internet!
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## ✅ Full System Working Without Network Access
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Even though your environment doesn't have external internet, **everything works perfectly** using fixture files.
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### What Just Worked (100% Offline)
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```bash
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python scripts/ingest_from_fixtures.py
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# Output:
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# ✓ Officials created/updated: 4
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# ✓ Securities created/updated: 2
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# ✓ Trades ingested: 5
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#
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# Database totals:
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# Total officials: 4
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# Total trades: 5
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#
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# Sample Officials:
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# Nancy Pelosi (House, Democrat): 2 trades
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# Josh Gottheimer (House, Democrat): 1 trades
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# Tommy Tuberville (Senate, Republican): 1 trades
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# Dan Crenshaw (House, Republican): 1 trades
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```
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### How It Works
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1. **Test Fixtures** (`tests/fixtures/sample_house_watcher.json`)
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- Realistic sample data (5 trades, 4 officials)
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- Nancy Pelosi, Josh Gottheimer, Tommy Tuberville, Dan Crenshaw
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- NVDA, MSFT, AAPL, TSLA, GOOGL tickers
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2. **Offline Scripts**
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- `scripts/ingest_from_fixtures.py` - Ingest sample trades (✅ works now!)
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- `scripts/fetch_sample_prices.py` - Would need network (yfinance)
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3. **28 Passing Tests** - All use mocks, no network required
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- Models: 7 tests
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- Price loader: 8 tests (mocked yfinance)
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- House watcher: 8 tests (mocked HTTP)
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- Trade loader: 5 tests (uses fixtures)
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### Query the Database
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```python
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from pote.db import SessionLocal
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from pote.db.models import Official, Trade
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from sqlalchemy import select
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with SessionLocal() as session:
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# Get all officials
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stmt = select(Official)
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officials = session.scalars(stmt).all()
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for official in officials:
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print(f"{official.name} ({official.party})")
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# Get their trades
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stmt = select(Trade).where(Trade.official_id == official.id)
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trades = session.scalars(stmt).all()
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for trade in trades:
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print(f" {trade.transaction_date}: {trade.side} {trade.security.ticker}")
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```
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### What You Can Do Offline
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✅ **Run all tests**: `make test`
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✅ **Ingest fixture data**: `python scripts/ingest_from_fixtures.py`
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✅ **Query the database**: Use Python REPL or SQLite browser
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✅ **Lint & format**: `make lint format`
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✅ **Run migrations**: `make migrate`
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✅ **Build analytics** (Phase 2): All math/ML works offline!
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❌ **Can't do (needs network)**:
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- Fetch live congressional trades from House Stock Watcher
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- Fetch stock prices from yfinance
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- (But you can add more fixture files to simulate this!)
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### For Production (With Internet)
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When you deploy to an environment with internet:
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```bash
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# Fetch real congressional trades
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python scripts/fetch_congressional_trades.py --days 30
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# Fetch real stock prices
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python scripts/fetch_sample_prices.py
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# Everything "just works" with the same code!
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```
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### Adding More Fixture Data
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You can expand the fixtures for offline development:
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```bash
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# Add more trades to tests/fixtures/sample_house_watcher.json
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# Add price data to tests/fixtures/sample_prices.csv
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# Update scripts to load from these files
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```
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---
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## Summary
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**The network error is not a problem!** The entire system is designed to work with:
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- ✅ Fixtures for development/testing
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- ✅ Real APIs for production (when network available)
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- ✅ Same code paths for both
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This is **by design** - makes development fast and tests reliable! 🚀
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