feat: LLM-powered stock analysis service
- AI-driven stock analysis with recommendation generation - GET /results endpoint for analysis data by stock - REST API with health, streams, and trigger endpoints - Redis Streams for async job processing - Docker support with multi-stage build Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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pyproject.toml
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pyproject.toml
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[project]
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name = "stock-llm-analyzer"
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version = "0.1.0"
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description = "LLM qualitative analysis service using Anthropic Claude API"
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requires-python = ">=3.12"
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dependencies = [
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"stock-common",
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"anthropic>=0.40",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/stock_llm_analyzer"]
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