gavindiazandClaude Code
7e50a0fef6
Replace the Google Gemini lock-in with a unified chat client usable with any OpenAI-compatible /v1 endpoint (OpenAI, OpenRouter, DeepSeek, Moonshot, Qwen, Ollama, Gemini-via-compat...). Switch provider purely via AI_BASE_URL/AI_MODEL. - ai/llm_client.py (new): lazy openai SDK, per-candidate 429/503/timeout failover across AI_MODEL_FAILOVER, robust JSON extraction, reasoning-budget retry, image analysis via base64 data URI, singleton get_llm_client() - settings.py: GeminiSettings -> LLMSettings (api_key/base_url/model/failover/ vision_model), keeps GEMINI_API_KEY fallback so existing .env keeps working - news_analyzer.py: analyze_with_gemini -> analyze_with_llm (same output keys); FinBERT now loads in a daemon warm-up thread with lexicon fallback - the transformers first import was blocking the asyncio main loop 15-45s (importlib.metadata full package scan); HF_ENDPOINT hf-mirror setdefault - telegram_bot.py: news digest + AI-vision chart analysis via the LLM client - requirements: google-genai -> openai>=1.0; docs/.env.example/README updated for the new provider-agnostic setup; dashboard meta updated Co-Authored-By: Claude Code <noreply@anthropic.com>
59 lines
782 B
Plaintext
59 lines
782 B
Plaintext
# Dependencies
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# ============================================
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# Core
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python-dotenv>=1.0
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pydantic>=2.0
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pydantic-settings>=2.0
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PyYAML>=6.0
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# MetaTrader 5
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MetaTrader5>=5.0
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# Data & Analysis
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pandas>=2.0
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numpy>=1.24
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pandas-ta>=0.3.14b1
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# AI / ML
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scikit-learn>=1.3
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xgboost>=2.0
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joblib>=1.3
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# NLP / Sentiment
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transformers>=4.30
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torch>=2.0
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# Unified LLM chat (any OpenAI-compatible provider: OpenAI, OpenRouter, DeepSeek, Moonshot, Qwen, Ollama...)
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openai>=1.0
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# News APIs
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httpx>=0.24
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# Web Dashboard
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fastapi>=0.100
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uvicorn[standard]>=0.20
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websockets>=12.0
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# Telegram
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python-telegram-bot>=21.0
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# Database
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SQLAlchemy>=2.0
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aiosqlite>=0.19
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# Scheduling
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APScheduler>=3.10
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# Logging
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loguru>=0.7
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# HTTP
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aiohttp>=3.9
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# Testing
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pytest>=8.0
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pytest-asyncio>=0.21
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# Utilities
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rich>=13.0
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