Finance News

name: CI

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    
    steps:
      - uses: actions/checkout@v4
      
      - name: Install uv
        uses: astral-sh/setup-uv@v4
        with:
          version: "latest"
      
      - name: Set up Python
        run: uv python install 3.10
      
      - name: Install dependencies
        run: uv sync --all-extras
      
      - name: Run tests with coverage
        run: |
          uv run pytest tests/ \
            --cov=scripts \
            --cov-report=term-missing \
            --cov-report=xml \
            --cov-fail-under=30
      
      - name: Upload coverage to Codecov
        uses: codecov/codecov-action@v4
        with:
          files: coverage.xml
          fail_ci_if_error: false
        env:
          CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

  lint:
    runs-on: ubuntu-latest
    
    steps:
      - uses: actions/checkout@v4
      
      - name: Install uv
        uses: astral-sh/setup-uv@v4
        with:
          version: "latest"
      
      - name: Set up Python
        run: uv python install 3.10
      
      - name: Install dependencies
        run: uv sync --all-extras
      
      - name: Run ruff check
        run: uv run ruff check scripts/ tests/
        continue-on-error: true

# Cache files
cache/
.coverage
*.pyc
__pycache__/

# Environment
.env
.venv/
venv/

# IDE
.idea/
.vscode/
*.swp
*.swo

# OS
.DS_Store
Thumbs.db

# Sensitive credentials
config/cookies.json
*.cookie
config/portfolio.csv
config/sources.json
config/translations.json

# Personal data
config/stocks.json
config/alerts.json
config/moltbot-cron-backup-*.json

{
  "_meta": {
    "version": 1,
    "updated_at": "2026-01-01T00:00:00.000000",
    "supported_currencies": ["USD", "EUR", "JPY", "SGD", "MXN"]
  },
  "alerts": [
    {
      "ticker": "AAPL",
      "target_price": 200.0,
      "currency": "USD",
      "note": "Buy zone after correction",
      "set_by": "User",
      "set_date": "2026-01-01",
      "status": "active",
      "snooze_until": null,
      "triggered_count": 0,
      "last_triggered": null
    },
    {
      "ticker": "NVDA",
      "target_price": 120.0,
      "currency": "USD",
      "note": "Strong support level",
      "set_by": "User",
      "set_date": "2026-01-01",
      "status": "active",
      "snooze_until": null,
      "triggered_count": 0,
      "last_triggered": null
    }
  ]
}

{
  "rss_feeds": {
    "wsj": {
      "name": "Wall Street Journal",
      "enabled": true,
      "markets": "https://feeds.content.dowjones.io/public/rss/RSSMarketsMain",
      "daily": "https://feeds.content.dowjones.io/public/rss/RSSWSJD"
    },
    "tagesschau": {
      "name": "Tagesschau",
      "enabled": true,
      "wirtschaft": "https://www.tagesschau.de/wirtschaft/weltwirtschaft/index~rss2.xml"
    },
    "finanzen_net": {
      "name": "Finanzen.net",
      "enabled": false,
      "news": "https://www.finanzen.net/rss/news",
      "note": "Disabled - Akamai WAF blocks all requests with 403"
    },
    "wallstreet_online": {
      "name": "Wallstreet Online",
      "enabled": true,
      "news": "https://www.wallstreet-online.de/rss/nachrichten-alle.xml",
      "note": "Germany's largest finance community - good stock-specific coverage"
    },
    "handelsblatt": {
      "name": "Handelsblatt",
      "enabled": true,
      "finanzen": "https://feeds.cms.handelsblatt.com/finanzen"
    },
    "zeit": {
      "name": "ZEIT Wirtschaft",
      "enabled": true,
      "wirtschaft": "https://newsfeed.zeit.de/wirtschaft/index"
    },
    "marketwatch": {
      "name": "MarketWatch",
      "enabled": true,
      "topstories": "https://feeds.content.dowjones.io/public/rss/mw_topstories"
    },
    "reuters": {
      "name": "Reuters",
      "enabled": true,
      "markets": "https://news.google.com/rss/search?q=site%3Areuters.com+markets+OR+stocks+OR+economy+OR+fed+OR+earnings&hl=en-US&gl=US&ceid=US%3Aen",
      "note": "Google News RSS wrapper for Reuters - filtered for finance/markets."
    },
    "ft": {
      "name": "Financial Times",
      "enabled": true,
      "markets": "https://www.ft.com/markets?format=rss"
    },
    "bloomberg": {
      "name": "Bloomberg",
      "enabled": true,
      "markets": "https://feeds.bloomberg.com/markets/news.rss"
    },
    "barrons": {
      "name": "Barron's",
      "enabled": false,
      "main": "https://www.barrons.com/market-data/rss/articles",
      "note": "Requires subscription - enable after adding credentials"
    },
    "cnbc": {
      "name": "CNBC",
      "enabled": true,
      "top": "https://search.cnbc.com/rs/search/combinedcms/view.xml?partnerId=wrss01&id=10001147",
      "business": "https://search.cnbc.com/rs/search/combinedcms/view.xml?partnerId=wrss01&id=15839069",
      "markets": "https://search.cnbc.com/rs/search/combinedcms/view.xml?partnerId=wrss01&id=20910258",
      "world": "https://search.cnbc.com/rs/search/combinedcms/view.xml?partnerId=wrss01&id=10000664",
      "tech": "https://www.cnbc.com/id/19854910/device/rss/rss.html"
    },
    "yahoo": {
      "name": "Yahoo Finance",
      "enabled": true,
      "top": "https://finance.yahoo.com/rss/topstories"
    }
  },
  "headline_sources": [
    "reuters",
    "wsj",
    "ft",
    "bloomberg",
    "marketwatch",
    "cnbc",
    "yahoo"
  ],
  "headline_sources_by_lang": {
    "de": [
      "wallstreet_online",
      "tagesschau",
      "handelsblatt",
      "zeit",
      "reuters",
      "wsj",
      "ft",
      "bloomberg",
      "marketwatch",
      "cnbc",
      "yahoo"
    ],
    "en": [
      "reuters",
      "wsj",
      "ft",
      "bloomberg",
      "marketwatch",
      "cnbc",
      "yahoo"
    ]
  },
  "headline_exclude": [],
  "source_weights": {
    "reuters": 5,
    "wsj": 4,
    "ft": 4,
    "bloomberg": 3,
    "marketwatch": 3,
    "cnbc": 2,
    "tagesschau": 4,
    "handelsblatt": 4,
    "zeit": 4,
    "wallstreet_online": 5,
    "yahoo": 1
  },
  "source_tiers": {
    "paid": [
      "wsj",
      "ft",
      "barrons"
    ],
    "free": [
      "bloomberg",
      "marketwatch",
      "yahoo",
      "cnbc",
      "tagesschau",
      "handelsblatt",
      "zeit",
      "wallstreet_online"
    ]
  },
  "headline_shortlist_size_by_lang": {
    "de": 30,
    "en": 20
  },
  "portfolio_deadline_sec": 360,
  "portfolio": {
    "briefing_limit": 10,
    "prioritization_enabled": true,
    "prioritization_weights": {
      "type": 0.4,
      "volatility": 0.35,
      "news_volume": 0.25
    }
  },
  "markets": {
    "us": {
      "name": "US Markets",
      "enabled": true,
      "indices": [
        "^GSPC",
        "^DJI",
        "^IXIC"
      ],
      "index_names": {
        "^GSPC": "S&P 500",
        "^DJI": "Dow Jones",
        "^IXIC": "NASDAQ"
      }
    },
    "europe": {
      "name": "Europe",
      "enabled": true,
      "indices": [
        "^GDAXI",
        "^STOXX50E",
        "^FTSE"
      ],
      "index_names": {
        "^GDAXI": "DAX",
        "^STOXX50E": "STOXX 50",
        "^FTSE": "FTSE 100"
      }
    },
    "japan": {
      "name": "Japan",
      "enabled": true,
      "indices": [
        "^N225"
      ],
      "index_names": {
        "^N225": "Nikkei 225"
      }
    }
  },
  "language": {
    "default": "en",
    "supported": [
      "en",
      "de"
    ]
  },
  "delivery": {
    "whatsapp": {
      "enabled": true,
      "group": ""
    },
    "telegram": {
      "enabled": false,
      "group": ""
    }
  },
  "schedule": {
    "morning": {
      "enabled": true,
      "cron": "30 6 * * 1-5",
      "timezone": "America/Los_Angeles",
      "description": "US Market Open (9:30 AM ET = 6:30 AM PT)"
    },
    "evening": {
      "enabled": true,
      "cron": "0 13 * * 1-5",
      "timezone": "America/Los_Angeles",
      "description": "US Market Close (4:00 PM ET = 1:00 PM PT)"
    }
  },
  "llm": {
    "headline_model_order": [
      "kimi",
      "gemini"
    ],
    "summary_model_order": [
      "kimi",
      "gemini"
    ],
    "translation_model_order": [
      "kimi",
      "gemini"
    ]
  },
  "translations": {
    "en": {
      "title_morning": "Morning Briefing",
      "title_evening": "Evening Briefing",
      "title_prefix": "Market",
      "time_suffix": "",
      "heading_briefing": "Market Briefing",
      "heading_markets": "Markets",
      "heading_sentiment": "Sentiment",
      "heading_top_headlines": "Top 5 Headlines",
      "heading_portfolio_impact": "Portfolio Impact",
      "heading_portfolio_movers": "Portfolio Movers",
      "heading_portfolio_unresolved": "Unresolved Large Moves",
      "heading_watchpoints": "Watchpoints",
      "watchpoints_legend": "_Legend: `vs Index` = move minus S&P 500 move._",
      "watchpoints_section_clusters": "Sector Rotation",
      "watchpoints_section_single_names": "Single-Name Moves",
      "watchpoints_section_market_context": "Market Context",
      "no_data": "No data available",
      "no_movers": "No significant moves (±1%)",
      "follows_market": " -- follows market",
      "no_catalyst": " -- no specific catalyst",
      "likely_sector_contagion": " -- likely sector contagion",
      "portfolio_attr_benchmark": "Attribution",
      "portfolio_attr_residual": "residual",
      "portfolio_attr_no_catalyst": "No confirmed catalyst",
      "portfolio_attr_no_visible_movers": "No high-confidence explained movers",
      "portfolio_attr_unresolved_exception": "large move; no high-confidence direct catalyst found",
      "portfolio_attr_mapping_uncertain": "benchmark mapping uncertain",
      "portfolio_attr_confidence": "confidence",
      "portfolio_attr_na": "n/a",
      "portfolio_attr_confidence_map": {
        "HIGH": "HIGH",
        "MEDIUM": "MEDIUM",
        "LOW": "LOW"
      },
      "portfolio_benchmark_label_map": {
        "Global equities": "Global equities",
        "Japan equities": "Japan equities",
        "Europe equities": "Europe equities",
        "China equities": "China equities",
        "Taiwan equities": "Taiwan equities",
        "Canada equities": "Canada equities",
        "Switzerland equities": "Switzerland equities",
        "US technology": "US technology",
        "US health care": "US health care",
        "US financials": "US financials",
        "US industrials": "US industrials",
        "US consumer discretionary": "US consumer discretionary",
        "US consumer staples": "US consumer staples",
        "US energy": "US energy",
        "US materials": "US materials",
        "US real estate": "US real estate",
        "US utilities": "US utilities",
        "US communication services": "US communication services",
        "Semiconductors": "Semiconductors",
        "Semiconductor equipment": "Semiconductor equipment",
        "Semiconductor design/software": "Semiconductor design/software",
        "S&P 500": "S&P 500"
      },
      "portfolio_classification_map": {
        "market": "market-driven",
        "sector_theme": "sector/theme-driven",
        "fx": "FX-driven",
        "idiosyncratic": "idiosyncratic",
        "mixed": "mixed",
        "unexplained": "unexplained"
      },
      "rec_bullish": "Selective opportunities, keep risk management tight.",
      "rec_bearish": "Reduce risk and prioritize liquidity.",
      "rec_neutral": "Wait-and-see, focus on quality names.",
      "rec_unknown": "No clear recommendation without reliable data.",
      "sources_header": "Sources",
      "sentiment_map": {
        "Bullish": "Bullish",
        "Bearish": "Bearish",
        "Neutral": "Neutral",
        "No data available": "No data available"
      }
    },
    "de": {
      "title_morning": "Morgen-Briefing",
      "title_evening": "Abend-Briefing",
      "title_prefix": "Börsen",
      "time_suffix": "Uhr",
      "heading_briefing": "Marktbriefing",
      "heading_markets": "Märkte",
      "heading_sentiment": "Stimmung",
      "heading_top_headlines": "Top 5 Schlagzeilen",
      "heading_portfolio_impact": "Portfolio-Auswirkung",
      "heading_portfolio_movers": "Portfolio-Bewegungen",
      "heading_portfolio_unresolved": "Ungeklärte große Bewegungen",
      "heading_watchpoints": "Beobachtungspunkte",
      "watchpoints_legend": "_Legende: `vs Index` = Kursbewegung minus S&P-500-Bewegung._",
      "watchpoints_section_clusters": "Sektorrotation",
      "watchpoints_section_single_names": "Einzeltitel",
      "watchpoints_section_market_context": "Marktkontext",
      "no_data": "Keine Daten verfügbar",
      "no_movers": "Keine deutlichen Bewegungen (±1%)",
      "follows_market": " -- folgt dem Markt",
      "no_catalyst": " -- kein spezifischer Katalysator",
      "likely_sector_contagion": " -- wahrscheinlich Sektor-Ansteckung",
      "portfolio_attr_benchmark": "Einordnung",
      "portfolio_attr_residual": "Restbewegung",
      "portfolio_attr_no_catalyst": "kein bestätigter Auslöser",
      "portfolio_attr_no_visible_movers": "Keine Bewegungen mit bestätigtem Auslöser",
      "portfolio_attr_unresolved_exception": "große Bewegung; kein belastbarer direkter Auslöser gefunden",
      "portfolio_attr_mapping_uncertain": "Benchmark-Zuordnung unsicher",
      "portfolio_attr_confidence": "Konfidenz",
      "portfolio_attr_na": "k. A.",
      "portfolio_attr_confidence_map": {
        "HIGH": "HOCH",
        "MEDIUM": "MITTEL",
        "LOW": "NIEDRIG"
      },
      "portfolio_benchmark_label_map": {
        "Global equities": "Globale Aktien",
        "Japan equities": "Japan-Aktien",
        "Europe equities": "Europa-Aktien",
        "China equities": "China-Aktien",
        "Taiwan equities": "Taiwan-Aktien",
        "Canada equities": "Kanada-Aktien",
        "Switzerland equities": "Schweiz-Aktien",
        "US technology": "US-Technologie",
        "US health care": "US-Gesundheitswesen",
        "US financials": "US-Finanzwerte",
        "US industrials": "US-Industriewerte",
        "US consumer discretionary": "US-Konsum (zyklisch)",
        "US consumer staples": "US-Konsum (defensiv)",
        "US energy": "US-Energie",
        "US materials": "US-Grundstoffe",
        "US real estate": "US-Immobilien",
        "US utilities": "US-Versorger",
        "US communication services": "US-Kommunikationsdienste",
        "Semiconductors": "Halbleiter",
        "Semiconductor equipment": "Halbleiterausrüstung",
        "Semiconductor design/software": "Halbleiterdesign/-software",
        "S&P 500": "S&P 500"
      },
      "portfolio_classification_map": {
        "market": "marktgetrieben",
        "sector_theme": "sektor-/themengetrieben",
        "fx": "FX-getrieben",
        "idiosyncratic": "einzeltitelspezifisch",
        "mixed": "gemischt",
        "unexplained": "ungeklärt"
      },
      "rec_bullish": "Chancen selektiv nutzen, aber Risikomanagement beibehalten.",
      "rec_bearish": "Risiken reduzieren und Liquidität priorisieren.",
      "rec_neutral": "Abwarten und Fokus auf Qualitätstitel.",
      "rec_unknown": "Keine klare Empfehlung ohne belastbare Daten.",
      "sources_header": "Quellen",
      "sentiment_map": {
        "Bullish": "Bullisch",
        "Bearish": "Bärisch",
        "Neutral": "Neutral",
        "No data available": "Keine Daten verfügbar"
      },
      "months": {
        "January": "Januar",
        "February": "Februar",
        "March": "März",
        "April": "April",
        "May": "Mai",
        "June": "Juni",
        "July": "Juli",
        "August": "August",
        "September": "September",
        "October": "Oktober",
        "November": "November",
        "December": "Dezember"
      },
      "days": {
        "Monday": "Montag",
        "Tuesday": "Dienstag",
        "Wednesday": "Mittwoch",
        "Thursday": "Donnerstag",
        "Friday": "Freitag",
        "Saturday": "Samstag",
        "Sunday": "Sonntag"
      }
    }
  }
}

{
  "_comment": "Manual earnings dates for stocks not covered by Finnhub API",
  "_updated": "2026-01-27",
  "6857.T": {
    "date": "2026-01-27",
    "time": "amc",
    "note": "Q3 FY2025 - Advantest",
    "source": "marketscreener.com"
  },
  "6920.T": {
    "date": "2026-02-02",
    "time": "amc",
    "note": "Q3 FY2025 - Lasertec",
    "source": "tipranks.com"
  },
  "8035.T": {
    "date": "2026-02-05",
    "time": "amc",
    "note": "Q3 FY2025 - Tokyo Electron",
    "source": "tipranks.com"
  },
  "6146.T": {
    "date": "2026-02-06",
    "time": "amc",
    "note": "Q3 FY2025 - Disco Corp",
    "source": "estimate"
  },
  "7741.T": {
    "date": "2026-01-30",
    "time": "amc",
    "note": "Q3 FY2025 - Hoya",
    "source": "estimate"
  },
  "7735.T": {
    "date": "2026-01-30",
    "time": "amc",
    "note": "Q3 FY2025 - Screen Holdings",
    "source": "estimate"
  },
  "4063.T": {
    "date": "2026-01-31",
    "time": "amc",
    "note": "Q3 FY2025 - Shin-Etsu Chemical",
    "source": "estimate"
  },
  "6861.T": {
    "date": "2026-01-29",
    "time": "amc",
    "note": "Q3 FY2025 - Keyence",
    "source": "estimate"
  },
  "9984.T": {
    "date": "2026-02-07",
    "time": "amc",
    "note": "Q3 FY2025 - SoftBank Group",
    "source": "estimate"
  },
  "9983.T": {
    "date": "2026-01-09",
    "time": "amc",
    "note": "Q1 FY2026 - Fast Retailing (Uniqlo)",
    "source": "estimate"
  },
  "D05.SI": {
    "date": "2026-02-10",
    "time": "bmo",
    "note": "Q4 2025 - DBS Group",
    "source": "estimate"
  },
  "O39.SI": {
    "date": "2026-02-21",
    "time": "bmo",
    "note": "Q4 2025 - OCBC Bank",
    "source": "estimate"
  },
  "S68.SI": {
    "date": "2026-01-23",
    "time": "bmo",
    "note": "H1 FY2026 - Singapore Exchange",
    "source": "estimate"
  },
  "AAPL": {
    "date": "2026-01-30",
    "time": "amc",
    "note": "Q1 FY2026"
  },
  "MSFT": {
    "date": "2026-01-29",
    "time": "amc",
    "note": "Q2 FY2026"
  },
  "META": {
    "date": "2026-01-29",
    "time": "amc",
    "note": "Q4 2025"
  },
  "TSLA": {
    "date": "2026-01-29",
    "time": "amc",
    "note": "Q4 2025"
  },
  "NVDA": {
    "date": "2026-02-25",
    "time": "amc",
    "note": "Q4 FY2026"
  },
  "GOOGL": {
    "date": "2026-02-04",
    "time": "amc",
    "note": "Q4 2025"
  },
  "AMZN": {
    "date": "2026-02-06",
    "time": "amc",
    "note": "Q4 2025"
  },
  "NFLX": {
    "date": "2026-01-21",
    "time": "amc",
    "note": "Q4 2025"
  },
  "V": {
    "date": "2026-01-30",
    "time": "amc",
    "note": "Q1 FY2026"
  },
  "MA": {
    "date": "2026-01-30",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "ASML": {
    "date": "2026-01-29",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "NOW": {
    "date": "2026-01-29",
    "time": "amc",
    "note": "Q4 2025"
  },
  "UBER": {
    "date": "2026-02-05",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "SHOP": {
    "date": "2026-02-11",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "SPOT": {
    "date": "2026-02-04",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "NET": {
    "date": "2026-02-06",
    "time": "amc",
    "note": "Q4 2025"
  },
  "SNOW": {
    "date": "2026-02-26",
    "time": "amc",
    "note": "Q4 FY2026"
  },
  "DKNG": {
    "date": "2026-02-13",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "SQ": {
    "date": "2026-02-20",
    "time": "amc",
    "note": "Q4 2025"
  },
  "ABNB": {
    "date": "2026-02-13",
    "time": "amc",
    "note": "Q4 2025"
  },
  "TEAM": {
    "date": "2026-01-30",
    "time": "amc",
    "note": "Q2 FY2026"
  },
  "ZS": {
    "date": "2026-02-25",
    "time": "amc",
    "note": "Q2 FY2026"
  },
  "FTNT": {
    "date": "2026-02-06",
    "time": "amc",
    "note": "Q4 2025"
  },
  "WDAY": {
    "date": "2026-02-27",
    "time": "amc",
    "note": "Q4 FY2026"
  },
  "TTD": {
    "date": "2026-02-13",
    "time": "amc",
    "note": "Q4 2025"
  },
  "WMT": {
    "date": "2026-02-19",
    "time": "bmo",
    "note": "Q4 FY2026"
  },
  "EA": {
    "date": "2026-02-03",
    "time": "amc",
    "note": "Q3 FY2026"
  },
  "ADSK": {
    "date": "2026-02-26",
    "time": "amc",
    "note": "Q4 FY2026"
  },
  "ROKU": {
    "date": "2026-02-13",
    "time": "amc",
    "note": "Q4 2025"
  },
  "SNAP": {
    "date": "2026-02-04",
    "time": "amc",
    "note": "Q4 2025"
  },
  "ETSY": {
    "date": "2026-02-19",
    "time": "amc",
    "note": "Q4 2025"
  },
  "KO": {
    "date": "2026-02-11",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "BLK": {
    "date": "2026-01-15",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "PH": {
    "date": "2026-01-30",
    "time": "bmo",
    "note": "Q2 FY2026"
  },
  "SYK": {
    "date": "2026-01-28",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "TJX": {
    "date": "2026-02-26",
    "time": "bmo",
    "note": "Q4 FY2026"
  },
  "ROST": {
    "date": "2026-03-04",
    "time": "amc",
    "note": "Q4 FY2026"
  },
  "ORLY": {
    "date": "2026-02-05",
    "time": "amc",
    "note": "Q4 2025"
  },
  "SHW": {
    "date": "2026-01-30",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "FISV": {
    "date": "2026-02-04",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "MSI": {
    "date": "2026-02-06",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "APH": {
    "date": "2026-01-22",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "AXON": {
    "date": "2026-02-25",
    "time": "amc",
    "note": "Q4 2025"
  },
  "ROP": {
    "date": "2026-01-30",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "RACE": {
    "date": "2026-02-04",
    "time": "bmo",
    "note": "Q4 2025"
  },
  "TWLO": {
    "date": "2026-02-12",
    "time": "amc",
    "note": "Q4 2025"
  },
  "ZM": {
    "date": "2026-02-24",
    "time": "amc",
    "note": "Q4 FY2026"
  },
  "U": {
    "date": "2026-02-20",
    "time": "amc",
    "note": "Q4 2025"
  },
  "ZI": {
    "date": "2026-02-10",
    "time": "amc",
    "note": "Q4 2025"
  }
}

{
  "broad_markets": {
    "default": {"ticker": "ACWI", "label": "Global equities"},
    "US": {"ticker": "SPY", "label": "S&P 500"},
    "Japan": {"ticker": "EWJ", "label": "Japan equities"},
    "Europe": {"ticker": "VGK", "label": "Europe equities"},
    "China": {"ticker": "MCHI", "label": "China equities"},
    "Taiwan": {"ticker": "EWT", "label": "Taiwan equities"},
    "Canada": {"ticker": "EWC", "label": "Canada equities"},
    "Switzerland": {"ticker": "EWL", "label": "Switzerland equities"}
  },
  "categories": {
    "Technology": {"ticker": "XLK", "label": "US technology"},
    "Tech": {"ticker": "XLK", "label": "US technology"},
    "Semiconductors": {"ticker": "SOXX", "label": "Semiconductors"},
    "Semiconductor Equipment": {"ticker": "SOXX", "label": "Semiconductors"},
    "KI-Infrastructure": {"ticker": "SOXX", "label": "Semiconductors"},
    "AI/Data": {"ticker": "XLK", "label": "US technology"},
    "Healthcare": {"ticker": "XLV", "label": "US health care"},
    "Finance": {"ticker": "XLF", "label": "US financials"},
    "Financials": {"ticker": "XLF", "label": "US financials"},
    "Industrials": {"ticker": "XLI", "label": "US industrials"},
    "Consumer": {"ticker": "XLY", "label": "US consumer discretionary"},
    "Consumer Discretionary": {"ticker": "XLY", "label": "US consumer discretionary"},
    "Consumer Staples": {"ticker": "XLP", "label": "US consumer staples"},
    "Energy": {"ticker": "XLE", "label": "US energy"},
    "Materials": {"ticker": "XLB", "label": "US materials"},
    "Real Estate": {"ticker": "XLRE", "label": "US real estate"},
    "Utilities": {"ticker": "XLU", "label": "US utilities"},
    "Communication Services": {"ticker": "XLC", "label": "US communication services"}
  },
  "themes": {
    "AI Infrastructure": {"ticker": "SOXX", "label": "Semiconductors"},
    "Advanced Manufacturing": {"ticker": "SOXX", "label": "Semiconductors"},
    "Cloud": {"ticker": "XLK", "label": "US technology"},
    "Cybersecurity": {"ticker": "XLK", "label": "US technology"},
    "Digital Payments": {"ticker": "XLF", "label": "US financials"},
    "Japan Reform": {"ticker": "EWJ", "label": "Japan equities"},
    "GLP-1 Ecosystem": {"ticker": "XLV", "label": "US health care"}
  },
  "ticker_overrides": {
    "NVDA": {"ticker": "SOXX", "label": "Semiconductors"},
    "AMD": {"ticker": "SOXX", "label": "Semiconductors"},
    "AVGO": {"ticker": "SOXX", "label": "Semiconductors"},
    "AMAT": {"ticker": "SOXX", "label": "Semiconductor equipment"},
    "ASML": {"ticker": "SOXX", "label": "Semiconductor equipment"},
    "KLAC": {"ticker": "SOXX", "label": "Semiconductor equipment"},
    "LRCX": {"ticker": "SOXX", "label": "Semiconductor equipment"},
    "CDNS": {"ticker": "SOXX", "label": "Semiconductor design/software"},
    "SNPS": {"ticker": "SOXX", "label": "Semiconductor design/software"},
    "5803.T": {"ticker": "EWJ", "label": "Japan equities"},
    "6861.T": {"ticker": "EWJ", "label": "Japan equities"},
    "7741.T": {"ticker": "EWJ", "label": "Japan equities"},
    "8001.T": {"ticker": "EWJ", "label": "Japan equities"},
    "8058.T": {"ticker": "EWJ", "label": "Japan equities"}
  },
  "ticker_suffix_regions": {
    ".A": "US",
    ".B": "US",
    ".T": "Japan",
    ".TW": "Taiwan",
    ".DE": "Europe",
    ".PA": "Europe",
    ".AS": "Europe",
    ".SW": "Switzerland",
    ".TO": "Canada",
    ".V": "Canada"
  },
  "currency_proxies": {
    ".T": {"ticker": "JPY=X", "label": "USD/JPY"},
    ".TW": {"ticker": "TWD=X", "label": "USD/TWD"},
    ".DE": {"ticker": "EURUSD=X", "label": "EUR/USD"},
    ".PA": {"ticker": "EURUSD=X", "label": "EUR/USD"},
    ".AS": {"ticker": "EURUSD=X", "label": "EUR/USD"},
    ".SW": {"ticker": "CHF=X", "label": "USD/CHF"},
    ".TO": {"ticker": "CAD=X", "label": "USD/CAD"},
    ".V": {"ticker": "CAD=X", "label": "USD/CAD"}
  },
  "source_quality": {
    "allowed_sources": [
      "Reuters",
      "Wall Street Journal",
      "WSJ",
      "Financial Times",
      "FT",
      "Bloomberg",
      "CNBC",
      "MarketWatch",
      "Yahoo Finance",
      "Handelsblatt",
      "Tagesschau",
      "ZEIT"
    ],
    "allowed_domains": [
      "reuters.com",
      "wsj.com",
      "ft.com",
      "bloomberg.com",
      "cnbc.com",
      "marketwatch.com",
      "finance.yahoo.com",
      "handelsblatt.com",
      "tagesschau.de",
      "zeit.de"
    ],
    "high_confidence_sources": [
      "Reuters",
      "Wall Street Journal",
      "WSJ",
      "Financial Times",
      "FT",
      "Bloomberg",
      "CNBC",
      "MarketWatch",
      "Handelsblatt"
    ],
    "high_confidence_domains": [
      "reuters.com",
      "wsj.com",
      "ft.com",
      "bloomberg.com",
      "cnbc.com",
      "marketwatch.com",
      "handelsblatt.com"
    ],
    "blocked_domains": [
      "fool.com",
      "benzinga.com",
      "zacks.com",
      "investorplace.com",
      "seekingalpha.com"
    ],
    "quality_scoring": {
      "minimum_score": 1.1,
      "allowed_source_bonus": 0.5,
      "catalyst_bonus": 1.2,
      "recency_max_bonus": 0.4,
      "recency_half_life_hours": 24,
      "low_value_template_penalty": 1.5,
      "low_value_template_patterns": [
        "which is the better value stock",
        "which stock is the better value option",
        "which stock is better value",
        "vs\\.",
        "\\bvs\\b",
        "outpacing .* peers",
        "here'?s\\s+what\\s+you\\s+should\\s+know"
      ]
    }
  }
}

symbol,name,category,notes
AAPL,,Magnificent 7,
ABNB,,Travel,
ADBE,,Creative,
ADSK,,Tech,
AMPL,,Tech,
AMZN,,Magnificent 7,
APP,,Tech,
APPF,,Tech,
ASAN,,Productivity,
AVLR,,Tech,
AXON,,Tech,
BILL,,Tech,
BKNG,,Travel,
BMBL,,Tech,
CARG,,Tech,
CHGG,,Tech,
CHWY,,E-commerce,
COUP,,Procurement,
CRM,,SaaS Leaders,
CRNC,,Tech,
CRWD,,SaaS Leaders,
CVNA,,Tech,
DDOG,,SaaS Leaders,
DKNG,,Tech,
DLO,,Tech,
DM,,Tech,
DOCN,,Tech,
DOCU,,Productivity,
DOMO,,Tech,
DT,,Tech,
EA,,Gaming,
ESTC,,Data,
ETSY,,E-commerce,
EXPE,,Travel,
FIVN,,Data,
FROG,,Tech,
FSLY,,Tech,
FTCH,,Tech,
FTNT,,Security,
FVRR,,Tech,
GDOT,,Tech,
GLBE,,Tech,
GLOB,,Tech,
GME,,Tech,
GOOGL,,Magnificent 7,
GTLB,,Tech,
HUBS,,SaaS Leaders,
IAC,,Tech,
INTU,,SaaS Leaders,
LC,,Tech,
LMND,,Tech,
LOGI,,Tech,
LSPD,,Tech,
LTCH,,Tech,
LYFT,,Rideshare,
MDB,,SaaS Leaders,
META,,Magnificent 7,
MGNI,,Tech,
MITK,,Tech,
MNDY,,Tech,
MQ,,Tech,
MSFT,,Magnificent 7,
MTCH,,Tech,
NET,,SaaS Leaders,
NFLX,,Entertainment,
NOW,,SaaS Leaders,
NVDA,,Magnificent 7,
OKTA,,Security,
OSTK,,Tech,
PAYC,,Tech,
PD,,Tech,
PINS,,Social,
PLAN,,Productivity,
PLTR,,AI/Data,
POSH,,Tech,
PTON,,Tech,
PUBM,,AdTech,
PYPL,,FinTech,
RBLX,,Gaming,
RDFN,,Tech,
REAL,,Tech,
RNG,,Tech,
ROKU,,Entertainment,
ROOT,,Tech,
RPD,,Tech,
S,,Tech,
SEMR,,Tech,
SHOP,,E-commerce,
SMAR,,Tech,
SNAP,,Social,
SNOW,,AI/Data,
SOFI,,FinTech,
SPOT,,Entertainment,
SPT,,Tech,
SQ,,FinTech,
SUMO,,Tech,
TDUP,,Tech,
TEAM,,SaaS Leaders,
TSM,,Tech,
TTD,,AdTech,
TTWO,,Gaming,
TWLO,,Communication,
TWTR,,Tech,
U,,Tech,
UBER,,Rideshare,
UPST,,Tech,
UPWK,,Tech,
VLD,,Tech,
VMEO,,Marketing,
VRM,,Tech,
W,,Tech,
WDAY,,SaaS Leaders,
WIX,,Tech,
ZEN,,Tech,
ZI,,Tech,
ZM,,Communication,
ZS,,Security,

#!/usr/bin/env bash
# Price Alerts Cron Job (Lobster Workflow)
# Schedule: 2:00 PM PT / 5:00 PM ET (1 hour after market close)
#
# Checks price alerts against current prices including after-hours.
# Sends triggered alerts and watchlist status to WhatsApp/Telegram.

set -e

export SKILL_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
export FINANCE_NEWS_TARGET="${FINANCE_NEWS_TARGET:?FINANCE_NEWS_TARGET must be set}"
export FINANCE_NEWS_CHANNEL="${FINANCE_NEWS_CHANNEL:?FINANCE_NEWS_CHANNEL must be set}"

echo "[$(date)] Checking price alerts via Lobster..."

lobster run --file "$SKILL_DIR/workflows/alerts-cron.yaml" \
  --args-json '{"lang":"en"}'

echo "[$(date)] Price alerts check complete."

#!/usr/bin/env bash
# Weekly Earnings Alert Cron Job (Lobster Workflow)
# Schedule: Sunday 7:00 AM PT (before market week starts)
#
# Sends upcoming week's earnings calendar to WhatsApp/Telegram.
# Shows all portfolio stocks reporting Mon-Fri.

set -e

export SKILL_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
export FINANCE_NEWS_TARGET="${FINANCE_NEWS_TARGET:?FINANCE_NEWS_TARGET must be set}"
export FINANCE_NEWS_CHANNEL="${FINANCE_NEWS_CHANNEL:?FINANCE_NEWS_CHANNEL must be set}"

echo "[$(date)] Checking next week's earnings via Lobster..."

lobster run --file "$SKILL_DIR/workflows/earnings-weekly-cron.yaml" \
  --args-json '{"lang":"en"}'

echo "[$(date)] Weekly earnings alert complete."

#!/usr/bin/env bash
# Earnings Alert Cron Job (Lobster Workflow)
# Schedule: 6:00 AM PT / 9:00 AM ET (30 min before market open)
#
# Sends today's earnings calendar to WhatsApp/Telegram.
# Alerts users about portfolio stocks reporting today.

set -e

export SKILL_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
export FINANCE_NEWS_TARGET="${FINANCE_NEWS_TARGET:?FINANCE_NEWS_TARGET must be set}"
export FINANCE_NEWS_CHANNEL="${FINANCE_NEWS_CHANNEL:?FINANCE_NEWS_CHANNEL must be set}"

echo "[$(date)] Checking today's earnings via Lobster..."

lobster run --file "$SKILL_DIR/workflows/earnings-cron.yaml" \
  --args-json '{"lang":"en"}'

echo "[$(date)] Earnings alert complete."

#!/usr/bin/env bash
# Evening Briefing Cron Job (Lobster Workflow)
# Schedule: 1:00 PM PT (US Market Close at 4:00 PM ET)
#
# Uses Lobster workflow to generate and send briefing directly,
# bypassing LLM agent reformatting that truncates output.

set -e

export SKILL_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
export FINANCE_NEWS_TARGET="${FINANCE_NEWS_TARGET:?FINANCE_NEWS_TARGET must be set}"
export FINANCE_NEWS_CHANNEL="${FINANCE_NEWS_CHANNEL:?FINANCE_NEWS_CHANNEL must be set}"

echo "[$(date)] Starting evening briefing via Lobster..."

lobster run --file "$SKILL_DIR/workflows/briefing-cron.yaml" \
  --args-json '{"time":"evening","lang":"de"}'

echo "[$(date)] Evening briefing complete."

#!/usr/bin/env bash
# Morning Briefing Cron Job (Lobster Workflow)
# Schedule: 6:30 AM PT (US Market Open at 9:30 AM ET)
#
# Uses Lobster workflow to generate and send briefing directly,
# bypassing LLM agent reformatting that truncates output.

set -e

export SKILL_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
export FINANCE_NEWS_TARGET="${FINANCE_NEWS_TARGET:?FINANCE_NEWS_TARGET must be set}"
export FINANCE_NEWS_CHANNEL="${FINANCE_NEWS_CHANNEL:?FINANCE_NEWS_CHANNEL must be set}"

echo "[$(date)] Starting morning briefing via Lobster..."

lobster run --file "$SKILL_DIR/workflows/briefing-cron.yaml" \
  --args-json '{"time":"morning","lang":"de"}'

echo "[$(date)] Morning briefing complete."

FROM python:3.13-slim
WORKDIR /app

# Install build dependencies and libstdc++ for numpy
RUN apt-get update && \
    apt-get install -y --no-install-recommends gcc libstdc++6 && \
    rm -rf /var/lib/apt/lists/*

# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
RUN pip install --no-cache-dir openbb openbb-yfinance

# Copy application code
COPY . .

ENV KIMI_API_KEY=
ENV KIMI_API_BASE_URL=https://api.kimi.com/coding/
ENV FINANCE_NEWS_KIMI_MODEL=k2p5
ENV MINIMAX_CODING_PLAN_API_KEY=
ENV FINANCE_NEWS_SUPPRESS_VENV_WARNING=1
ENV OPENBB_QUOTE_BIN=/app/scripts/openbb-quote

# Default command (override via docker run args)
CMD ["python3", "scripts/briefing.py"]

                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,
      "control" means (i) the power, direct or indirect, to cause the
      direction or management of such entity, whether by contract or
      otherwise, or (ii) ownership of fifty percent (50%) or more of the
      outstanding shares, or (iii) beneficial ownership of such entity.

      "You" (or "Your") shall mean an individual or Legal Entity
      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object
      form, that is based on (or derived from) the Work and for which the
      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
      of this License, Derivative Works shall not include works that remain
      separable from, or merely link (or bind by name) to the interfaces of,
      the Work and Derivative Works thereof.

      "Contribution" shall mean any work of authorship, including
      the original version of the Work and any modifications or additions
      to that Work or Derivative Works thereof, that is intentionally
      submitted to Licensor for inclusion in the Work by the copyright
      owner or by an individual or Legal Entity authorized to submit on behalf
      of the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the
      Licensor for the purpose of discussing and improving the Work, but
      excluding communication that is conspicuously marked or otherwise
      designated in writing by the copyright owner as "Not a Contribution."

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

   3. Grant of Patent License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their
      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the
      Work or Derivative Works thereof in any medium, with or without
      modifications, and in Source or Object form, provided that You
      meet the following conditions:

      (a) You must give any other recipients of the Work or
          Derivative Works a copy of this License; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (d) If the Work includes a "NOTICE" text file as part of its
          distribution, then any Derivative Works that You distribute must
          include a readable copy of the attribution notices contained
          within such NOTICE file, excluding those notices that do not
          pertain to any part of the Derivative Works, in at least one
          of the following places: within a NOTICE text file distributed
          as part of the Derivative Works; within the Source form or
          documentation, if provided along with the Derivative Works; or,
          within a display generated by the Derivative Works, if and
          wherever such third-party notices normally appear. The contents
          of the NOTICE file are for informational purposes only and
          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions
      for use, reproduction, or distribution of Your modifications, or
      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.
      Notwithstanding the above, nothing herein shall supersede or modify
      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

   6. Trademarks. This License does not grant permission to use the trade
      names, trademarks, service marks, or product names of the Licensor,
      except as required for reasonable and customary use in describing the
      origin of the Work and reproducing the content of the NOTICE file.

   7. Disclaimer of Warranty. Unless required by applicable law or
      agreed to in writing, Licensor provides the Work (and each
      Contributor provides its Contributions) on an "AS IS" BASIS,
      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
      implied, including, without limitation, any warranties or conditions
      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
      PARTICULAR PURPOSE. You are solely responsible for determining the
      appropriateness of using or redistributing the Work and assume any
      risks associated with Your exercise of permissions under this License.

   8. Limitation of Liability. In no event and under no legal theory,
      whether in tort (including negligence), contract, or otherwise,
      unless required by applicable law (such as deliberate and grossly
      negligent acts) or agreed to in writing, shall any Contributor be
      liable to You for damages, including any direct, indirect, special,
      incidental, or consequential damages of any character arising as a
      result of this License or out of the use or inability to use the
      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

   END OF TERMS AND CONDITIONS

   Copyright 2026 Martin Kessler

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.

[project]
name = "finance-news"
version = "1.0.0"
description = "Finance news aggregation and market briefing skill for OpenClaw"
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [{ name = "Martin Kessler", email = "martin@kessler.io" }]

dependencies = [
    "feedparser>=6.0.11",
    "yfinance>=0.2.40",
]

[project.optional-dependencies]
dev = [
    "pytest>=8.0",
    "pytest-cov>=5.0",
    "ruff>=0.4",
]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["scripts"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_functions = ["test_*"]
addopts = "-v --tb=short"

[tool.coverage.run]
source = ["scripts"]
omit = ["scripts/__pycache__/*"]

[tool.coverage.report]
exclude_lines = [
    "pragma: no cover",
    "if __name__ == .__main__.:",
    "raise NotImplementedError",
]
fail_under = 30  # Current coverage is ~39%

[tool.ruff]
line-length = 120
target-version = "py310"

[tool.ruff.lint]
select = ["E", "F", "W", "I", "UP"]
ignore = ["E501"]

[pytest]
testpaths = tests
python_files = test_*.py
python_classes = Test*
python_functions = test_*
addopts = 
    -v
    --strict-markers
    --tb=short
    --cov=scripts
    --cov-report=term-missing
    --cov-report=html

# Test dependencies
pytest>=7.4.0
pytest-cov>=4.1.0
pytest-mock>=3.12.0

feedparser>=6.0.11
yfinance

#!/usr/bin/env bash
set -euo pipefail

resolve_openbb_python() {
    if [[ -n "${OPENBB_PYTHON:-}" ]]; then
        if [[ -x "${OPENBB_PYTHON}" ]]; then
            printf "%s\n" "${OPENBB_PYTHON}"
            return 0
        fi
        echo "OPENBB_PYTHON is set but not executable: ${OPENBB_PYTHON}" >&2
        return 1
    fi

    local venv_python="${HOME}/.local/venvs/openbb/bin/python3"
    if [[ -x "${venv_python}" ]]; then
        printf "%s\n" "${venv_python}"
        return 0
    fi

    if command -v python3 >/dev/null 2>&1; then
        command -v python3
        return 0
    fi

    echo "No usable python3 found for OpenBB wrappers." >&2
    return 1
}

resolve_openbb_provider() {
    local explicit="${1:-}"
    local fallback="${2:-yfinance}"
    if [[ -n "${explicit}" ]]; then
        printf "%s\n" "${explicit}"
    elif [[ -n "${OPENBB_DEFAULT_PROVIDER:-}" ]]; then
        printf "%s\n" "${OPENBB_DEFAULT_PROVIDER}"
    else
        printf "%s\n" "${fallback}"
    fi
}

run_openbb_python() {
    local script=""
    script="$(cat)"
    local py=""
    py="$(resolve_openbb_python)" || return 1
    "${py}" 2>&1 <<<"${script}"
}

#!/usr/bin/env python3
"""
Price Target Alerts - Track buy zone alerts for stocks.

Features:
- Set price target alerts (buy zone triggers)
- Check alerts against current prices
- Snooze, update, delete alerts
- Multi-currency support (USD, EUR, JPY, SGD, MXN)

Usage:
    alerts.py list                           # Show all alerts
    alerts.py set CRWD 400 --note 'Kaufzone' # Set alert
    alerts.py check                          # Check triggered alerts
    alerts.py delete CRWD                    # Delete alert
    alerts.py snooze CRWD --days 7           # Snooze for 7 days
    alerts.py update CRWD 380                # Update target price
"""

import argparse
import json
import sys
from datetime import datetime, timedelta
from pathlib import Path

from utils import ensure_venv

ensure_venv()

# Lazy import to avoid numpy issues at module load
fetch_market_data = None

def get_fetch_market_data():
    global fetch_market_data
    if fetch_market_data is None:
        from fetch_news import fetch_market_data as fmd
        fetch_market_data = fmd
    return fetch_market_data

SCRIPT_DIR = Path(__file__).parent
CONFIG_DIR = SCRIPT_DIR.parent / "config"
ALERTS_FILE = CONFIG_DIR / "alerts.json"

SUPPORTED_CURRENCIES = ["USD", "EUR", "JPY", "SGD", "MXN"]


def load_alerts() -> dict:
    """Load alerts from JSON file."""
    if not ALERTS_FILE.exists():
        return {"_meta": {"version": 1, "supported_currencies": SUPPORTED_CURRENCIES}, "alerts": []}
    return json.loads(ALERTS_FILE.read_text())


def save_alerts(data: dict) -> None:
    """Save alerts to JSON file."""
    data["_meta"]["updated_at"] = datetime.now().isoformat()
    ALERTS_FILE.write_text(json.dumps(data, indent=2))


def get_alert_by_ticker(alerts: list, ticker: str) -> dict | None:
    """Find alert by ticker."""
    ticker = ticker.upper()
    for alert in alerts:
        if alert["ticker"] == ticker:
            return alert
    return None


def format_price(price: float, currency: str) -> str:
    """Format price with currency symbol."""
    symbols = {"USD": "$", "EUR": "€", "JPY": "¥", "SGD": "S$", "MXN": "MX$"}
    symbol = symbols.get(currency, currency + " ")
    if currency == "JPY":
        return f"{symbol}{price:,.0f}"
    return f"{symbol}{price:,.2f}"


def cmd_list(args) -> None:
    """List all alerts."""
    data = load_alerts()
    alerts = data.get("alerts", [])
    
    if not alerts:
        print("📭 No price alerts set")
        return
    
    print(f"📊 Price Alerts ({len(alerts)} total)\n")
    
    now = datetime.now()
    active = []
    snoozed = []
    
    for alert in alerts:
        snooze_until = alert.get("snooze_until")
        if snooze_until and datetime.fromisoformat(snooze_until) > now:
            snoozed.append(alert)
        else:
            active.append(alert)
    
    if active:
        print("### Active Alerts")
        for a in active:
            target = format_price(a["target_price"], a.get("currency", "USD"))
            note = f' — "{a["note"]}"' if a.get("note") else ""
            user = f" (by {a['set_by']})" if a.get("set_by") else ""
            print(f"  • {a['ticker']}: {target}{note}{user}")
        print()
    
    if snoozed:
        print("### Snoozed")
        for a in snoozed:
            target = format_price(a["target_price"], a.get("currency", "USD"))
            until = datetime.fromisoformat(a["snooze_until"]).strftime("%Y-%m-%d")
            print(f"  • {a['ticker']}: {target} (until {until})")
        print()


def cmd_set(args) -> None:
    """Set a new alert."""
    data = load_alerts()
    alerts = data.get("alerts", [])
    ticker = args.ticker.upper()
    
    # Check if alert exists
    existing = get_alert_by_ticker(alerts, ticker)
    if existing:
        print(f"⚠️ Alert for {ticker} already exists. Use 'update' to change target.")
        return
    
    # Validate target price
    if args.target <= 0:
        print(f"❌ Target price must be greater than 0")
        return
    
    currency = args.currency.upper() if args.currency else "USD"
    if currency not in SUPPORTED_CURRENCIES:
        print(f"❌ Currency {currency} not supported. Use: {', '.join(SUPPORTED_CURRENCIES)}")
        return
    
    # Warn about currency mismatch based on ticker suffix
    ticker_currency_map = {
        ".T": "JPY",      # Tokyo
        ".SI": "SGD",     # Singapore
        ".MX": "MXN",     # Mexico
        ".DE": "EUR", ".F": "EUR", ".PA": "EUR",  # Europe
    }
    expected_currency = "USD"  # Default for US stocks
    for suffix, curr in ticker_currency_map.items():
        if ticker.endswith(suffix):
            expected_currency = curr
            break
    
    if currency != expected_currency:
        print(f"⚠️ Warning: {ticker} trades in {expected_currency}, but alert set in {currency}")
    
    # Fetch current price (optional - may fail if numpy broken)
    current_price = None
    try:
        quotes = get_fetch_market_data()([ticker], timeout=10)
        if ticker in quotes and quotes[ticker].get("price"):
            current_price = quotes[ticker]["price"]
    except Exception as e:
        print(f"⚠️ Could not fetch current price: {e}", file=sys.stderr)
    
    alert = {
        "ticker": ticker,
        "target_price": args.target,
        "currency": currency,
        "note": args.note or "",
        "set_by": args.user or "",
        "set_date": datetime.now().strftime("%Y-%m-%d"),
        "status": "active",
        "snooze_until": None,
        "triggered_count": 0,
        "last_triggered": None,
    }
    
    alerts.append(alert)
    data["alerts"] = alerts
    save_alerts(data)
    
    target_str = format_price(args.target, currency)
    print(f"✅ Alert set: {ticker} under {target_str}")
    if current_price:
        pct_diff = ((current_price - args.target) / current_price) * 100
        current_str = format_price(current_price, currency)
        print(f"   Current: {current_str} ({pct_diff:+.1f}% to target)")


def cmd_delete(args) -> None:
    """Delete an alert."""
    data = load_alerts()
    alerts = data.get("alerts", [])
    ticker = args.ticker.upper()
    
    new_alerts = [a for a in alerts if a["ticker"] != ticker]
    if len(new_alerts) == len(alerts):
        print(f"❌ No alert found for {ticker}")
        return
    
    data["alerts"] = new_alerts
    save_alerts(data)
    print(f"🗑️ Alert deleted: {ticker}")


def cmd_snooze(args) -> None:
    """Snooze an alert."""
    data = load_alerts()
    alerts = data.get("alerts", [])
    ticker = args.ticker.upper()
    
    alert = get_alert_by_ticker(alerts, ticker)
    if not alert:
        print(f"❌ No alert found for {ticker}")
        return
    
    days = args.days or 7
    snooze_until = datetime.now() + timedelta(days=days)
    alert["snooze_until"] = snooze_until.isoformat()
    save_alerts(data)
    print(f"😴 Alert snoozed: {ticker} until {snooze_until.strftime('%Y-%m-%d')}")


def cmd_update(args) -> None:
    """Update alert target price."""
    data = load_alerts()
    alerts = data.get("alerts", [])
    ticker = args.ticker.upper()
    
    alert = get_alert_by_ticker(alerts, ticker)
    if not alert:
        print(f"❌ No alert found for {ticker}")
        return
    
    # Validate target price
    if args.target <= 0:
        print(f"❌ Target price must be greater than 0")
        return
    
    old_target = alert["target_price"]
    alert["target_price"] = args.target
    if args.note:
        alert["note"] = args.note
    save_alerts(data)
    
    currency = alert.get("currency", "USD")
    old_str = format_price(old_target, currency)
    new_str = format_price(args.target, currency)
    print(f"✏️ Alert updated: {ticker} {old_str} → {new_str}")


def cmd_check(args) -> None:
    """Check alerts against current prices."""
    data = load_alerts()
    alerts = data.get("alerts", [])
    
    if not alerts:
        if args.json:
            print(json.dumps({"triggered": [], "watching": []}))
        else:
            print("📭 No alerts to check")
        return
    
    now = datetime.now()
    active_alerts = []
    for alert in alerts:
        snooze_until = alert.get("snooze_until")
        if snooze_until and datetime.fromisoformat(snooze_until) > now:
            continue
        active_alerts.append(alert)
    
    if not active_alerts:
        if args.json:
            print(json.dumps({"triggered": [], "watching": []}))
        else:
            print("📭 All alerts snoozed")
        return
    
    # Fetch prices for all active alerts
    tickers = [a["ticker"] for a in active_alerts]
    quotes = get_fetch_market_data()(tickers, timeout=30)
    
    triggered = []
    watching = []
    
    for alert in active_alerts:
        ticker = alert["ticker"]
        target = alert["target_price"]
        currency = alert.get("currency", "USD")
        
        quote = quotes.get(ticker, {})
        price = quote.get("price")
        
        if price is None:
            continue
        
        # Divide-by-zero protection
        if target == 0:
            pct_diff = 0
        else:
            pct_diff = ((price - target) / target) * 100
        
        result = {
            "ticker": ticker,
            "target_price": target,
            "current_price": price,
            "currency": currency,
            "pct_from_target": round(pct_diff, 2),
            "note": alert.get("note", ""),
            "set_by": alert.get("set_by", ""),
        }
        
        if price <= target:
            triggered.append(result)
            # Update triggered count (only once per day to avoid inflation)
            last_triggered = alert.get("last_triggered")
            today = now.strftime("%Y-%m-%d")
            if not last_triggered or not last_triggered.startswith(today):
                alert["triggered_count"] = alert.get("triggered_count", 0) + 1
            alert["last_triggered"] = now.isoformat()
        else:
            watching.append(result)
    
    save_alerts(data)
    
    if args.json:
        print(json.dumps({"triggered": triggered, "watching": watching}, indent=2))
        return

    # Translations
    lang = getattr(args, 'lang', 'en')
    if lang == "de":
        labels = {
            "title": "PREISWARNUNGEN",
            "in_zone": "IN KAUFZONE",
            "buy": "KAUFEN!",
            "target": "Ziel",
            "watching": "BEOBACHTUNG",
            "to_target": "noch",
            "no_data": "Keine Preisdaten für Alerts verfügbar",
        }
    else:
        labels = {
            "title": "PRICE ALERTS",
            "in_zone": "IN BUY ZONE",
            "buy": "BUY SIGNAL",
            "target": "target",
            "watching": "WATCHING",
            "to_target": "to target",
            "no_data": "No price data available for alerts",
        }

    # Date header
    date_str = datetime.now().strftime("%b %d, %Y") if lang == "en" else datetime.now().strftime("%d. %b %Y")
    print(f"📊 {labels['title']} — {date_str}\n")

    # Human-readable output
    if triggered:
        print(f"🟢 {labels['in_zone']}:\n")
        for t in triggered:
            target_str = format_price(t["target_price"], t["currency"])
            current_str = format_price(t["current_price"], t["currency"])
            note = f'\n   "{t["note"]}"' if t.get("note") else ""
            user = f" — {t['set_by']}" if t.get("set_by") else ""
            print(f"• {t['ticker']}: {current_str} ({labels['target']}: {target_str}) ← {labels['buy']}{note}{user}")
        print()

    if watching:
        print(f"⏳ {labels['watching']}:\n")
        for w in sorted(watching, key=lambda x: x["pct_from_target"]):
            target_str = format_price(w["target_price"], w["currency"])
            current_str = format_price(w["current_price"], w["currency"])
            print(f"• {w['ticker']}: {current_str} ({labels['target']}: {target_str}) — {labels['to_target']} {abs(w['pct_from_target']):.1f}%")
        print()

    if not triggered and not watching:
        print(f"📭 {labels['no_data']}")


def check_alerts() -> dict:
    """
    Check alerts and return results for briefing integration.
    Returns: {"triggered": [...], "watching": [...]}
    """
    data = load_alerts()
    alerts = data.get("alerts", [])
    
    if not alerts:
        return {"triggered": [], "watching": []}
    
    now = datetime.now()
    active_alerts = [
        a for a in alerts
        if not a.get("snooze_until") or datetime.fromisoformat(a["snooze_until"]) <= now
    ]
    
    if not active_alerts:
        return {"triggered": [], "watching": []}
    
    tickers = [a["ticker"] for a in active_alerts]
    quotes = get_fetch_market_data()(tickers, timeout=30)
    
    triggered = []
    watching = []
    
    for alert in active_alerts:
        ticker = alert["ticker"]
        target = alert["target_price"]
        currency = alert.get("currency", "USD")
        
        quote = quotes.get(ticker, {})
        price = quote.get("price")
        
        if price is None:
            continue
        
        # Divide-by-zero protection
        if target == 0:
            pct_diff = 0
        else:
            pct_diff = ((price - target) / target) * 100
        
        result = {
            "ticker": ticker,
            "target_price": target,
            "current_price": price,
            "currency": currency,
            "pct_from_target": round(pct_diff, 2),
            "note": alert.get("note", ""),
            "set_by": alert.get("set_by", ""),
        }
        
        if price <= target:
            triggered.append(result)
            # Update triggered count (only once per day to avoid inflation)
            last_triggered = alert.get("last_triggered")
            today = now.strftime("%Y-%m-%d")
            if not last_triggered or not last_triggered.startswith(today):
                alert["triggered_count"] = alert.get("triggered_count", 0) + 1
            alert["last_triggered"] = now.isoformat()
        else:
            watching.append(result)
    
    save_alerts(data)
    return {"triggered": triggered, "watching": watching}


def main():
    parser = argparse.ArgumentParser(description="Price target alerts")
    subparsers = parser.add_subparsers(dest="command", required=True)
    
    # list
    subparsers.add_parser("list", help="List all alerts")
    
    # set
    set_parser = subparsers.add_parser("set", help="Set new alert")
    set_parser.add_argument("ticker", help="Stock ticker")
    set_parser.add_argument("target", type=float, help="Target price")
    set_parser.add_argument("--note", help="Note/reason")
    set_parser.add_argument("--user", help="Who set the alert")
    set_parser.add_argument("--currency", default="USD", help="Currency (USD, EUR, JPY, SGD, MXN)")
    
    # delete
    del_parser = subparsers.add_parser("delete", help="Delete alert")
    del_parser.add_argument("ticker", help="Stock ticker")
    
    # snooze
    snooze_parser = subparsers.add_parser("snooze", help="Snooze alert")
    snooze_parser.add_argument("ticker", help="Stock ticker")
    snooze_parser.add_argument("--days", type=int, default=7, help="Days to snooze")
    
    # update
    update_parser = subparsers.add_parser("update", help="Update alert target")
    update_parser.add_argument("ticker", help="Stock ticker")
    update_parser.add_argument("target", type=float, help="New target price")
    update_parser.add_argument("--note", help="Update note")
    
    # check
    check_parser = subparsers.add_parser("check", help="Check alerts against prices")
    check_parser.add_argument("--json", action="store_true", help="JSON output")
    check_parser.add_argument("--lang", default="en", help="Output language (en, de)")
    
    args = parser.parse_args()
    
    if args.command == "list":
        cmd_list(args)
    elif args.command == "set":
        cmd_set(args)
    elif args.command == "delete":
        cmd_delete(args)
    elif args.command == "snooze":
        cmd_snooze(args)
    elif args.command == "update":
        cmd_update(args)
    elif args.command == "check":
        cmd_check(args)


if __name__ == "__main__":
    main()