This commit resolves all outstanding issues with the AI Insights feature.
- Corrects the transcript formatting logic in to properly handle the database JSON structure, ensuring the AI receives the correct context.
- Fixes the Gemini API client by using the correct model name ('gemini-2.0-flash') and the proper client initialization.
- Updates to securely pass the API key as an environment variable to the container.
- Cleans up the codebase by removing temporary debugging endpoints.
- Adds script for programmatic updates.
- Updates documentation with troubleshooting insights from the implementation process.
22 lines
621 B
Python
22 lines
621 B
Python
import sqlite3
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db_path = "/app/company-explorer/companies_v3_fixed_2.db"
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
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tables = cursor.fetchall()
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print(f"Tables in {db_path}: {tables}")
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# Check content of 'signals' if it exists
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if ('signals',) in tables:
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print("\nChecking 'signals' table for Wolfra (id=12)...")
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cursor.execute("SELECT * FROM signals WHERE account_id=12")
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columns = [desc[0] for desc in cursor.description]
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rows = cursor.fetchall()
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for row in rows:
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print(dict(zip(columns, row)))
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conn.close()
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