Spaces:
Running
Running
Download test_rag_endpoint.py from sisithefox/sisi-astrology-api: direct link, hf CLI and curl.
- Browser
- Download file 1.96 kB
-
https://huggingface.co/spaces/sisithefox/sisi-astrology-api/resolve/main/test_rag_endpoint.py
- Command line
-
hf download hf://spaces/sisithefox/sisi-astrology-api/test_rag_endpoint.py
-
curl -L -o test_rag_endpoint.py https://huggingface.co/spaces/sisithefox/sisi-astrology-api/resolve/main/test_rag_endpoint.py
1.96 kB
| #!/usr/bin/env python3 | |
| """ | |
| Test the RAG endpoint logic without starting the full API server | |
| """ | |
| from knowledge_extractor import extract_knowledge_for_aspects, get_aspect_summary | |
| # Sample aspects data (same format as API returns) | |
| test_aspects = [ | |
| {"planet1": "Sun", "planet2": "Moon", "aspect": "trine", "orb": 2.5}, | |
| {"planet1": "Venus", "planet2": "Mars", "aspect": "square", "orb": 3.1}, | |
| {"planet1": "Moon", "planet2": "Mercury", "aspect": "conjunction", "orb": 1.2}, | |
| {"planet1": "Sun", "planet2": "Jupiter", "aspect": "sextile", "orb": 4.0}, | |
| {"planet1": "Mars", "planet2": "Saturn", "aspect": "opposition", "orb": 5.5} | |
| ] | |
| print("=" * 70) | |
| print("๐ฎ Testing RAG Endpoint Logic") | |
| print("=" * 70) | |
| # Test knowledge extraction | |
| print(f"\n๐ Testing with {len(test_aspects)} aspects...") | |
| knowledge_context = extract_knowledge_for_aspects(test_aspects) | |
| # Test aspect summary | |
| aspect_summary = get_aspect_summary(test_aspects, limit=5) | |
| # Count knowledge found/missing | |
| knowledge_found = knowledge_context.count("## ") | |
| knowledge_missing = knowledge_context.count("*Knowledge base entry not yet available*") | |
| # Display results (same as API endpoint would return) | |
| result = { | |
| "knowledge_context": knowledge_context, | |
| "aspect_summary": aspect_summary, | |
| "aspects_count": len(test_aspects), | |
| "knowledge_found": knowledge_found, | |
| "knowledge_missing": knowledge_missing | |
| } | |
| print(f"\nโ Results:") | |
| print(f" - Total aspects: {result['aspects_count']}") | |
| print(f" - Knowledge found: {result['knowledge_found']}") | |
| print(f" - Knowledge missing: {result['knowledge_missing']}") | |
| print(f" - Context length: {len(result['knowledge_context'])} characters") | |
| print(f"\n๐ Aspect Summary:") | |
| print(result['aspect_summary']) | |
| print(f"\n๐ Knowledge Context Preview (first 800 chars):") | |
| print("-" * 70) | |
| print(result['knowledge_context'][:800] + "...") | |
| print("\n" + "=" * 70) | |
| print("โ RAG endpoint logic test PASSED!") | |
| print("=" * 70) | |