116 lines
4.9 KiB
Python
116 lines
4.9 KiB
Python
import requests
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import json
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from datetime import datetime
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# Test the research endpoint and capture full response
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url = "http://localhost:8000/api/blog/research"
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payload = {
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"keywords": ["AI content generation", "blog writing"],
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"topic": "ALwrity content generation",
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"industry": "Technology",
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"target_audience": "content creators"
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}
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try:
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print("Sending request to research endpoint...")
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response = requests.post(url, json=payload, timeout=120)
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print(f"Status Code: {response.status_code}")
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if response.status_code == 200:
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data = response.json()
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# Create analysis file with timestamp
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"research_analysis_{timestamp}.json"
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# Save full response to file
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with open(filename, 'w', encoding='utf-8') as f:
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json.dump(data, f, indent=2, ensure_ascii=False)
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print(f"\n=== RESEARCH RESPONSE ANALYSIS ===")
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print(f"✅ Full response saved to: {filename}")
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print(f"Success: {data.get('success')}")
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print(f"Sources Count: {len(data.get('sources', []))}")
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print(f"Search Queries Count: {len(data.get('search_queries', []))}")
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print(f"Has Search Widget: {bool(data.get('search_widget'))}")
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print(f"Suggested Angles Count: {len(data.get('suggested_angles', []))}")
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print(f"\n=== SOURCES ANALYSIS ===")
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sources = data.get('sources', [])
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for i, source in enumerate(sources[:5]): # Show first 5
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print(f"Source {i+1}: {source.get('title', 'No title')}")
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print(f" URL: {source.get('url', 'No URL')[:100]}...")
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print(f" Type: {source.get('type', 'Unknown')}")
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print(f" Credibility: {source.get('credibility_score', 'N/A')}")
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print(f"\n=== SEARCH QUERIES ANALYSIS ===")
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queries = data.get('search_queries', [])
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print(f"Total queries: {len(queries)}")
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for i, query in enumerate(queries[:10]): # Show first 10
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print(f"{i+1:2d}. {query}")
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print(f"\n=== SEARCH WIDGET ANALYSIS ===")
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widget = data.get('search_widget', '')
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if widget:
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print(f"Widget HTML length: {len(widget)} characters")
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print(f"Contains Google branding: {'Google' in widget}")
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print(f"Contains search chips: {'chip' in widget}")
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print(f"Contains carousel: {'carousel' in widget}")
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print(f"First 200 chars: {widget[:200]}...")
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else:
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print("No search widget provided")
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print(f"\n=== KEYWORD ANALYSIS ===")
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kw_analysis = data.get('keyword_analysis', {})
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print(f"Primary keywords: {kw_analysis.get('primary', [])}")
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print(f"Secondary keywords: {kw_analysis.get('secondary', [])}")
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print(f"Long-tail keywords: {kw_analysis.get('long_tail', [])}")
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print(f"Search intent: {kw_analysis.get('search_intent', 'Unknown')}")
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print(f"Difficulty score: {kw_analysis.get('difficulty', 'N/A')}")
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print(f"\n=== SUGGESTED ANGLES ===")
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angles = data.get('suggested_angles', [])
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for i, angle in enumerate(angles):
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print(f"{i+1}. {angle}")
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print(f"\n=== UI REPRESENTATION RECOMMENDATIONS ===")
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print("Based on the response, here's what should be displayed in the Editor UI:")
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print(f"1. Research Sources Panel: {len(sources)} real web sources")
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print(f"2. Search Widget: Interactive Google search chips ({len(queries)} queries)")
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print(f"3. Keyword Analysis: Primary/Secondary/Long-tail breakdown")
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print(f"4. Content Angles: {len(angles)} suggested blog post angles")
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print(f"5. Search Queries: {len(queries)} research queries for reference")
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# Additional analysis for UI components
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print(f"\n=== UI COMPONENT BREAKDOWN ===")
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# Sources for UI
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print("SOURCES FOR UI:")
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for i, source in enumerate(sources[:3]):
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print(f" - {source.get('title')} (Credibility: {source.get('credibility_score')})")
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# Search widget for UI
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print(f"\nSEARCH WIDGET FOR UI:")
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print(f" - HTML length: {len(widget)} chars")
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print(f" - Can be embedded directly in UI")
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print(f" - Contains {len(queries)} search suggestions")
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# Keywords for UI
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print(f"\nKEYWORDS FOR UI:")
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print(f" - Primary: {', '.join(kw_analysis.get('primary', []))}")
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print(f" - Secondary: {', '.join(kw_analysis.get('secondary', []))}")
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print(f" - Long-tail: {', '.join(kw_analysis.get('long_tail', []))}")
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# Angles for UI
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print(f"\nCONTENT ANGLES FOR UI:")
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for i, angle in enumerate(angles[:3]):
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print(f" - {angle}")
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else:
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print(f"Error: {response.text}")
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except Exception as e:
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print(f"Request failed: {e}")
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import traceback
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traceback.print_exc()
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