Anton_wireframe/app/__pycache__/main.cpython-312.pyc

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    Parse and import CSV data into the database.

    **For investors:**
    - Expected columns: Name, Website, Final Investor Profile, Final Profile sourcing
    - Manually parses JSON profiles for efficiency
    - Uses LLM only for currency conversion to USD
    - Handles AUM, fund sizes, and check sizes as integers

    **For companies:**
    - Expected columns: Name, Website, Investor, Final Investor Profile (company profile)
    - 100% manual JSON parsing - no LLM needed
    - Extracts company details, executives, investors, and client categories
    - Automatically links companies to investors in database

    **Benefits:**
    - Fast processing (5-10s per record)
    - Low cost (minimal or no LLM usage)
    - Accurate data extraction
    - Automatic database persistence
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    Query investors using natural language.

    Returns fund-level matches (one row per fund) with investor details.
    This ensures only relevant funds are included in the response.

    Supports queries like:
    - "Show me seed stage investors"