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shawnkim1997andClaude Opus 4.6
51cbaf7f8d
- Add missing numpy, scipy, dbnomics to requirements.txt (fixes ImportError on fresh install) - Sync claude.md with actual codebase: §3 file structure (37 services, 21 routers), §5 API endpoints (92 routes), §6 frontend pages (12), §13 TODO status - Update README.md with current architecture (92 API routes, 21 routers, 37 services), multi-asset overview, research grid, macro dashboard, screener+backtest, multi-jurisdiction filings, and 2026-03-26 changelog entry - Add new routers: dart, edinet, fmp, macro, research - Add new services: cache, dart_fetcher, dart_filing_service, economic_calendar, ecos_fetcher, edinet_filing_service, fmp_client, global_macro_quadrant, kpi_history_service, macro_cycle, macro_fetcher, oecd_cycle, peer_comparison_service, research_dashboard, smart_money_service, yield_fx_service - Add new frontend: macro page, screener+backtest, research grid components, overview (Equity/ETF/Commodity), filings (SEC/DART/EDINET), error boundaries - Remove 6 unused services: copilot_context, crypto_fetcher, fx_fetcher, gemini_analysis, market_data, technical_analysis - Remove obsolete docs: .agent/, AGENT.md, ATLAS_EVALUATION.md, docs/ Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
"""News router -- Finviz scrape + Google News RSS + Yahoo Finance RSS."""
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from typing import List
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from fastapi import APIRouter, HTTPException, Query
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from server.models.schemas import NewsItem
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from server.services.news_aggregator import merge_news_for_router
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router = APIRouter()
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@router.get(
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"/{ticker}",
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response_model=List[NewsItem],
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summary="Aggregated news (Finviz + Google + Yahoo)",
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)
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async def get_news(ticker: str):
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"""Return recent articles: Finviz table, Google News RSS, Yahoo headline RSS."""
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try:
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merged = merge_news_for_router(ticker.upper(), max_articles=40)
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return [NewsItem(**item) for item in merged]
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except Exception as exc:
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raise HTTPException(status_code=500, detail=f"News fetch failed: {exc}") from exc
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@router.get(
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"/{ticker}/ai-summary",
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summary="AI-summarized news (optional)",
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)
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async def ai_news_summary(
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ticker: str,
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api_key: str = Query("", description="Google Gemini API key (optional)"),
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):
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"""Fetch merged news and optionally summarize with Gemini."""
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try:
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all_items = merge_news_for_router(ticker.upper(), max_articles=30)
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headlines: List[str] = []
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for item in all_items:
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title = (item.get("title") or "").strip()
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if title:
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headlines.append(title)
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headlines = headlines[:20]
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all_items = all_items[:20]
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if not api_key or not api_key.strip():
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return {
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"ticker": ticker.upper(),
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"summary": None,
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"headlines": headlines,
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"items": all_items,
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}
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from server.services.gemini_service import get_gemini_model, _generate_with_retry
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model = get_gemini_model(api_key)
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headline_text = "\n".join(f"- {h}" for h in headlines)
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prompt = f"""You are a financial news analyst. Below are the latest headlines for {ticker.upper()}.
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Provide a concise 3-5 sentence executive summary of the overall sentiment and key themes.
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Headlines:
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{headline_text}"""
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response = _generate_with_retry(model, prompt, {"temperature": 0.2, "max_output_tokens": 512})
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summary = (response.text or "").strip() if response else ""
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return {
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"ticker": ticker.upper(),
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"summary": summary,
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"headlines": headlines,
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"items": all_items,
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}
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except Exception as exc:
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raise HTTPException(status_code=500, detail=f"AI news summary failed: {exc}") from exc
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