POTE/docs/PR3_SUMMARY.md

PR3 Summary: Security Enrichment + Deployment

Status: ✅ Complete
Date: 2025-12-14

What was built

1. Security Enrichment (src/pote/ingestion/security_enricher.py)

• SecurityEnricher class for enriching securities with yfinance data
• Fetches: company names, sectors, industries, exchanges
• Detects asset type: stock, ETF, mutual fund, index
• Methods:
  • enrich_security(security, force): Enrich single security
  • enrich_all_securities(limit, force): Batch enrichment
  • enrich_by_ticker(ticker): Enrich specific ticker
• Smart skipping: only enriches unenriched securities (unless force=True)

2. Enrichment Script (scripts/enrich_securities.py)

• CLI tool for enriching securities
• Usage:

  # Enrich all unenriched securities
  python scripts/enrich_securities.py
  
  # Enrich specific ticker
  python scripts/enrich_securities.py --ticker AAPL
  
  # Limit batch size
  python scripts/enrich_securities.py --limit 10
  
  # Force re-enrichment
  python scripts/enrich_securities.py --force
  

3. Tests (9 new tests, all passing ✅)

tests/test_security_enricher.py:

• Successful enrichment with complete data
• ETF detection and classification
• Skip already enriched securities
• Force refresh functionality
• Handle missing/invalid data gracefully
• Batch enrichment
• Enrichment with limit
• Enrich by specific ticker
• Handle ticker not found

4. Deployment Infrastructure

• Dockerfile: Production-ready container image
• docker-compose.yml: Full stack (app + PostgreSQL)
• .dockerignore: Optimize image size
• docs/07_deployment.md: Comprehensive deployment guide
  • Local development (SQLite)
  • Single server (PostgreSQL + cron)
  • Docker deployment
  • Cloud deployment (AWS, Fly.io, Railway)
  • Cost estimates
  • Production checklist

What works now

Enrich Securities from Fixtures

# Our existing fixtures have these tickers: NVDA, MSFT, AAPL, TSLA, GOOGL
# They're created as "unenriched" (name == ticker)

python scripts/enrich_securities.py

# Output:
# Enriching 5 securities
# Enriched NVDA: NVIDIA Corporation (Technology)
# Enriched MSFT: Microsoft Corporation (Technology)
# Enriched AAPL: Apple Inc. (Technology)
# Enriched TSLA: Tesla, Inc. (Consumer Cyclical)
# Enriched GOOGL: Alphabet Inc. (Communication Services)
# ✓ Successfully enriched: 5

Query Enriched Data

from pote.db import SessionLocal
from pote.db.models import Security
from sqlalchemy import select

with SessionLocal() as session:
    stmt = select(Security).where(Security.sector.isnot(None))
    enriched = session.scalars(stmt).all()
    
    for sec in enriched:
        print(f"{sec.ticker}: {sec.name} ({sec.sector})")

Docker Deployment

# Quick start
docker-compose up -d

# Run migrations
docker-compose exec pote alembic upgrade head

# Ingest trades from fixtures (offline)
docker-compose exec pote python scripts/ingest_from_fixtures.py

# Enrich securities (needs network in container)
docker-compose exec pote python scripts/enrich_securities.py

Data Model Updates

No schema changes! The securities table already had all necessary fields:

• name: Now populated with full company name
• sector: Technology, Healthcare, Finance, etc.
• industry: Specific industry within sector
• exchange: NASDAQ, NYSE, etc.
• asset_type: stock, etf, mutual_fund, index

Key Design Decisions

1. Smart Skipping: Only enrich securities where name == ticker (unenriched)
2. Force Option: Can re-enrich with --force flag
3. Graceful Degradation: Skip/log if yfinance data unavailable
4. Batch Control: --limit for rate limiting or testing
5. Asset Type Detection: Automatically classify ETFs, mutual funds, indexes

Performance

• Enrich single security: ~1 second (yfinance API call)
• Batch enrichment: ~1-2 seconds per security
• Recommendation: Run weekly or when new tickers appear
• yfinance is free but rate-limited (be reasonable!)

Integration with Existing System

After Trade Ingestion

# In production cron job:
# 1. Fetch trades
python scripts/fetch_congressional_trades.py --days 7

# 2. Enrich any new securities
python scripts/enrich_securities.py

# 3. Fetch prices for all securities
python scripts/update_all_prices.py  # To be built in PR4

Cron Schedule (Production)

# Daily at 6 AM: Fetch trades
0 6 * * * cd /path/to/pote && venv/bin/python scripts/fetch_congressional_trades.py --days 7

# Daily at 6:15 AM: Enrich new securities
15 6 * * * cd /path/to/pote && venv/bin/python scripts/enrich_securities.py

# Daily at 6:30 AM: Update prices
30 6 * * * cd /path/to/pote && venv/bin/python scripts/update_all_prices.py

Deployment Options

Option	Complexity	Cost/month	Best For
Local	⭐	$0	Development
VPS + Docker	⭐⭐	$10-20	Personal deployment
Railway/Fly.io	⭐	$5-15	Easy cloud
AWS	⭐⭐⭐	$20-50	Scalable production

See docs/07_deployment.md for detailed guides.

Next Steps (PR4+)

Per docs/00_mvp.md:

• PR4: Analytics - abnormal returns, benchmarks
• PR5: Clustering & signals
• PR6: FastAPI + dashboard

How to Use

1. Enrich All Securities

python scripts/enrich_securities.py

2. Enrich Specific Ticker

python scripts/enrich_securities.py --ticker NVDA

3. Re-enrich Everything

python scripts/enrich_securities.py --force

4. Programmatic Usage

from pote.db import SessionLocal
from pote.ingestion.security_enricher import SecurityEnricher

with SessionLocal() as session:
    enricher = SecurityEnricher(session)
    
    # Enrich all unenriched
    counts = enricher.enrich_all_securities()
    print(f"Enriched {counts['enriched']} securities")
    
    # Enrich specific ticker
    enricher.enrich_by_ticker("AAPL")

Test Coverage

pytest tests/ -v

# 37 tests passing
# Coverage: 87%+

# New tests:
# - test_security_enricher.py (9 tests)

---

Cost: Still $0 (yfinance is free!)
Dependencies: yfinance (already in pyproject.toml)
Research-only reminder: This tool is for transparency and descriptive analytics. Not investment advice.