433af5c25d
- Docker: Delete 23 deprecated Dockerfiles, fix CI/CD to use Dockerfile.foxhunt-build - Config: Remove 36 .env files, keep 4 essential, delete config/environments/ - Docs: Archive 614 Wave D files to docs/archive/wave_d/, 95% reduction in root - Scripts: Delete 56 deprecated scripts, keep 58 production-critical (49% reduction) - Python: Organize 37 scripts into scripts/python/ subdirectories, delete ml/python/ - Build: Remove 1GB artifacts, delete old venvs, clean Python cache from git - Migrations: Delete deprecated directory (4,432 lines), remove duplicate database/migrations/ - Infrastructure: Delete deployment/ (61 files), docs/scripts/ (8 files) Total impact: ~2,500 files cleaned, 750MB+ space freed, zero production impact All deleted scripts backed up to archives. runpod/ and tests/runpod/ preserved. data_acquisition_service retained per user request.
93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
#!/usr/bin/env python3
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"""
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Check Databento subscription and data availability.
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"""
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import os
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import databento as db
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import sys
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def main():
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api_key = os.environ.get("DATABENTO_API_KEY")
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if not api_key:
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print("ERROR: DATABENTO_API_KEY environment variable not set")
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sys.exit(1)
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client = db.Historical(api_key)
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print("=" * 70)
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print("Databento Subscription Check")
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print("=" * 70)
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# Get billing information
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try:
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print("\n1. Checking Account Status...")
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# Note: There's no direct API for billing, but we can try to get cost for a known symbol
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# Let's try ES (S&P 500 E-mini) which is very common
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test_cases = [
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("XNAS.ITCH", "AAPL", "trades", "Nasdaq stocks"),
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("GLBX.MDP3", "ES", "ohlcv-1m", "CME E-mini S&P 500"),
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("GLBX.MDP3", "ES.FUT", "ohlcv-1m", "CME E-mini S&P 500 (FUT)"),
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("GLBX.MDP3", "ESH24", "ohlcv-1m", "CME E-mini S&P 500 (Mar 2024)"),
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]
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print("\n2. Testing Data Access...\n")
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for dataset, symbol, schema, description in test_cases:
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print(f"Testing: {description}")
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print(f" Dataset: {dataset}, Symbol: {symbol}, Schema: {schema}")
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try:
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cost = client.metadata.get_cost(
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dataset=dataset,
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symbols=[symbol],
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schema=schema,
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start="2024-01-02",
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end="2024-01-05"
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)
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print(f" ✅ ACCESS GRANTED - Cost: ${cost:.4f} (3 days)")
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except Exception as e:
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error_msg = str(e)
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if "401" in error_msg or "unauthorized" in error_msg.lower():
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print(f" ❌ UNAUTHORIZED - Need subscription")
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elif "404" in error_msg or "not found" in error_msg.lower():
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print(f" ❌ NOT FOUND - Symbol doesn't exist")
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elif "symbology" in error_msg.lower():
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print(f" ❌ SYMBOLOGY ERROR - Symbol can't be resolved")
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else:
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print(f" ❌ ERROR: {error_msg[:80]}")
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print()
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print("=" * 70)
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print("Diagnosis")
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print("=" * 70)
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print("""
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Based on the results above:
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1. If ALL tests show UNAUTHORIZED:
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→ Your subscription doesn't include historical data access
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→ You may only have live data access
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2. If ONLY GLBX.MDP3 (CME) tests fail:
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→ Your subscription doesn't include CME futures data
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→ CME data requires a separate subscription tier
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3. If SYMBOLOGY ERROR appears:
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→ The symbol format is incorrect for that dataset
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→ Try checking Databento's symbology guide
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4. If some symbols work:
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→ Your subscription is working, but specific instruments need adjustment
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Recommendations:
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- Check your Databento account subscription at: https://databento.com/account
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- For CME futures data (6E, ES, etc.), verify you have GLBX.MDP3 access
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- Contact Databento support if you believe you should have access
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""")
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except Exception as e:
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print(f"\nError checking subscription: {e}")
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if __name__ == "__main__":
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main()
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