Floke
adafab61ae
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.
29 lines
864 B
Python
29 lines
864 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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for table in ['signals', 'enrichment_data']:
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print(f"\nSchema of {table}:")
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cursor.execute(f"PRAGMA table_info({table})")
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for col in cursor.fetchall():
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print(col)
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print(f"\nContent of {table} for company_id=12 (guessing FK):")
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# Try to find FK column
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cursor.execute(f"PRAGMA table_info({table})")
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cols = [c[1] for c in cursor.fetchall()]
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fk_col = next((c for c in cols if 'company_id' in c or 'account_id' in c), None)
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if fk_col:
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cursor.execute(f"SELECT * FROM {table} WHERE {fk_col}=12")
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rows = cursor.fetchall()
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for row in rows:
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print(dict(zip(cols, row)))
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else:
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print(f"Could not guess FK column for {table}")
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conn.close()
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