ALwrity version 0.5.5
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@@ -12,8 +12,8 @@ import json
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from collections import Counter, defaultdict
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# Import AI providers
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from llm_providers.main_text_generation import llm_text_gen
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from llm_providers.gemini_provider import gemini_structured_json_response
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from services.llm_providers.main_text_generation import llm_text_gen
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from services.llm_providers.gemini_provider import gemini_structured_json_response
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# Import existing modules (will be updated to use FastAPI services)
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from services.database import get_db_session
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@@ -194,8 +194,19 @@ class CompetitorAnalyzer:
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}
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)
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# Parse and return the AI response
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market_position = json.loads(response)
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# Handle response - gemini_structured_json_response returns dict directly
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if isinstance(response, dict):
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market_position = response
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elif isinstance(response, str):
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# If it's a string, try to parse as JSON
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try:
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market_position = json.loads(response)
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except json.JSONDecodeError as e:
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logger.error(f"Failed to parse AI response as JSON: {e}")
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raise Exception(f"Invalid AI response format: {str(e)}")
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else:
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logger.error(f"Unexpected response type from AI service: {type(response)}")
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raise Exception(f"Unexpected response type from AI service: {type(response)}")
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logger.info("✅ AI market position analysis completed")
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return market_position
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@@ -306,8 +317,20 @@ class CompetitorAnalyzer:
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}
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)
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# Parse and return the AI response
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result = json.loads(response)
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# Handle response - gemini_structured_json_response returns dict directly
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if isinstance(response, dict):
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result = response
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elif isinstance(response, str):
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# If it's a string, try to parse as JSON
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try:
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result = json.loads(response)
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except json.JSONDecodeError as e:
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logger.error(f"Failed to parse AI response as JSON: {e}")
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raise Exception(f"Invalid AI response format: {str(e)}")
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else:
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logger.error(f"Unexpected response type from AI service: {type(response)}")
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raise Exception(f"Unexpected response type from AI service: {type(response)}")
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content_gaps = result.get('content_gaps', [])
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logger.info(f"✅ AI content gap identification completed: {len(content_gaps)} gaps found")
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return content_gaps
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@@ -399,8 +422,20 @@ class CompetitorAnalyzer:
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}
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)
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# Parse and return the AI response
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result = json.loads(response)
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# Handle response - gemini_structured_json_response returns dict directly
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if isinstance(response, dict):
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result = response
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elif isinstance(response, str):
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# If it's a string, try to parse as JSON
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try:
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result = json.loads(response)
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except json.JSONDecodeError as e:
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logger.error(f"Failed to parse AI response as JSON: {e}")
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raise Exception(f"Invalid AI response format: {str(e)}")
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else:
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logger.error(f"Unexpected response type from AI service: {type(response)}")
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raise Exception(f"Unexpected response type from AI service: {type(response)}")
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competitive_insights = result.get('competitive_insights', [])
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logger.info(f"✅ AI competitive insights generated: {len(competitive_insights)} insights")
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return competitive_insights
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