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14 lines
762 B
14 lines
762 B
# System Overview: Stemwijzer
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This mindmodel documents constraints, conventions and patterns for the Stemwijzer
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project (Python Streamlit app with DuckDB-backed pipeline for parliamentary
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motions embedding analysis).
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Key points:
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- Language: Python >=3.13
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- UI: Streamlit multi-page app (Home.py, pages/)
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- Storage: DuckDB with JSON fallback for tests/dev (database.py)
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- Pipeline: ETL and SVD/text fusion pipeline (pipeline/run_pipeline.py)
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- AI: ai_provider adapter uses HTTP-based OpenRouter/OpenAI-compatible API with retry/backoff and local fallback. QWEN via OpenRouter is the recommended path; prefer OPENROUTER_API_KEY with OPENAI_API_KEY as a fallback where applicable.
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Use the .mindmodel/ constraints files to guide code changes, CI, and onboarding.
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