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https://github.com/shawnkim1997/All-in-one-Financial-Analysis.git
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shawnkim1997andClaude Opus 4.6
b2acda81ee
Complete migration from Streamlit to Next.js 14 App Router + FastAPI backend. Frontend (Next.js 14): - 10 pages: Overview, Research, Valuation, Technical, Markets, Earnings, News, Portfolio, Filings, Settings - Terminal Noir dark theme with custom Tailwind config - TradingView Lightweight Charts for candlestick/volume - Valuation: DCF, Sensitivity Matrix, Monte Carlo, Tornado, Reverse DCF - Financial Statements table with YoY growth badges and margin rows - SEC EDGAR inline filing viewer with section tabs - News split-view with iframe article embedding - Technical Analysis with RSI, MACD, Bollinger, Fibonacci, Moving Averages - Earnings beat/miss visualization - AI Copilot chat panel with Gemini integration Backend (FastAPI): - 13 routers: market_data, financials, valuation, technical, earnings, insider, edgar, news, portfolio, analysis, chat, estimates, fx - Services: DCF engine, Monte Carlo simulation, sensitivity analysis, risk metrics, SEC parser, technical indicators - yfinance + yahooquery data sources with fallback pattern - SQLite caching layer Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
"""
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PostgreSQL cache repository — persistent cache with TTL.
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"""
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import json
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from typing import Optional, Any
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from datetime import datetime, timezone, timedelta
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from server.db.pg_database import get_pg_pool
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async def pg_cache_get(key: str) -> Optional[Any]:
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"""Get a cached value. Returns None if expired or not found."""
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pool = await get_pg_pool()
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if not pool:
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return None
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async with pool.acquire() as conn:
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row = await conn.fetchrow(
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"SELECT value FROM cache WHERE key = $1 AND expires_at > NOW()",
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key,
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)
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if row and row["value"] is not None:
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return row["value"] # JSONB auto-deserializes
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return None
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async def pg_cache_set(key: str, value: Any, ttl_seconds: int = 86400) -> None:
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"""Set a cache value with TTL."""
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pool = await get_pg_pool()
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if not pool:
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return
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expires = datetime.now(timezone.utc) + timedelta(seconds=ttl_seconds)
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async with pool.acquire() as conn:
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await conn.execute(
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"""INSERT INTO cache (key, value, expires_at)
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VALUES ($1, $2::jsonb, $3)
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ON CONFLICT (key) DO UPDATE SET value = $2::jsonb, expires_at = $3""",
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key, json.dumps(value), expires,
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)
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async def pg_cache_delete(key: str) -> None:
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"""Delete a specific cache entry."""
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pool = await get_pg_pool()
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if not pool:
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return
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async with pool.acquire() as conn:
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await conn.execute("DELETE FROM cache WHERE key = $1", key)
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async def pg_cache_cleanup() -> int:
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"""Remove expired cache entries. Returns count of deleted rows."""
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pool = await get_pg_pool()
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if not pool:
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return 0
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async with pool.acquire() as conn:
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result = await conn.execute(
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"DELETE FROM cache WHERE expires_at < NOW()"
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)
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# Parse "DELETE N" result
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try:
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return int(result.split()[-1])
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except (IndexError, ValueError):
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return 0
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