61 lines
2.3 KiB
Python
61 lines
2.3 KiB
Python
import asyncio
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from services.llm_providers.gemini_grounded_provider import GeminiGroundedProvider
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async def test_gemini_direct():
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gemini = GeminiGroundedProvider()
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prompt = """
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Research the topic "AI content generation" in the Technology industry for content creators audience. Provide a comprehensive analysis including:
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1. Current trends and insights (2024-2025)
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2. Key statistics and data points with sources
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3. Industry expert opinions and quotes
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4. Recent developments and news
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5. Market analysis and forecasts
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6. Best practices and case studies
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7. Keyword analysis: primary, secondary, and long-tail opportunities
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8. Competitor analysis: top players and content gaps
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9. Content angle suggestions: 5 compelling angles for blog posts
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Focus on factual, up-to-date information from credible sources.
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Include specific data points, percentages, and recent developments.
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Structure your response with clear sections for each analysis area.
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"""
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try:
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result = await gemini.generate_grounded_content(
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prompt=prompt,
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content_type="research",
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max_tokens=2000
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)
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print("=== GEMINI RESULT ===")
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print(f"Type: {type(result)}")
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print(f"Keys: {list(result.keys()) if isinstance(result, dict) else 'Not a dict'}")
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if isinstance(result, dict):
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print(f"Sources count: {len(result.get('sources', []))}")
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print(f"Search queries count: {len(result.get('search_queries', []))}")
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print(f"Has search widget: {bool(result.get('search_widget'))}")
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print(f"Content length: {len(result.get('content', ''))}")
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print("\n=== FIRST SOURCE ===")
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sources = result.get('sources', [])
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if sources:
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print(f"Source: {sources[0]}")
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print("\n=== SEARCH QUERIES (First 3) ===")
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queries = result.get('search_queries', [])
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for i, query in enumerate(queries[:3]):
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print(f"{i+1}. {query}")
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else:
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print(f"Result is not a dict: {result}")
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except Exception as e:
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print(f"Error: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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asyncio.run(test_gemini_direct())
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