Floke
b5e6c415c7
- Implemented semantic classification for Products (e.g. 'Cleaning', 'Logistics') and Battlecards (e.g. 'Price', 'Support'). - Created 'import_competitive_radar.py' for full 4-database relational import to Notion. - Updated Orchestrator with new prompts for structured output. - Cleaned up obsolete scripts.
79 lines
2.8 KiB
Python
79 lines
2.8 KiB
Python
import asyncio
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import json
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import os
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import sys
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# Path to the orchestrator
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sys.path.append(os.path.join(os.getcwd(), 'competitor-analysis-app'))
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from competitor_analysis_orchestrator import analyze_single_competitor, fetch_step7_data_battlecards, FetchStep7DataBattlecardsRequest
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# Mock Object to mimic Pydantic model behavior for the API call
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class MockCompany:
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def __init__(self, data):
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self.name = data.get('name')
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self.start_url = data.get('start_url')
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def get(self, key, default=None):
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return getattr(self, key, default)
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class MockRequest:
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def __init__(self, company, analyses, silver_bullets):
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self.company = company
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self.analyses = analyses
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self.silver_bullets = silver_bullets
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self.language = "de"
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async def refresh_classification():
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json_path = 'analysis_robo-planet.de.json'
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with open(json_path, 'r') as f:
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data = json.load(f)
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company_data = data.get('company', {})
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competitors = data.get('competitors_shortlist', []) or data.get('competitor_candidates', [])
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silver_bullets = data.get('silver_bullets', [])
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print(f"🔄 Re-Running Classification for {len(competitors)} competitors...")
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# --- STEP 1: Re-Analyze Single Competitors (to get Product Categories) ---
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print("Step 1: Updating Portfolio Classification...")
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tasks = [analyze_single_competitor(c, company_data) for c in competitors]
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new_analyses = await asyncio.gather(*tasks)
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# Filter valid results
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valid_analyses = [r for r in new_analyses if r is not None]
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data['analyses'] = valid_analyses
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print(f"✅ Updated {len(valid_analyses)} analyses with product categories.")
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# --- STEP 2: Re-Generate Battlecards (to get Landmine Topics) ---
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print("Step 2: Updating Battlecard Classification...")
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# Construct request object for the API function
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# Note: fetch_step7_data_battlecards expects a Pydantic model, but we can pass a dict if we are careful or construct a mock.
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# The function uses `request.analyses` etc.
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req = FetchStep7DataBattlecardsRequest(
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company=company_data,
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analyses=valid_analyses,
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silver_bullets=silver_bullets,
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language="de"
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)
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# Call the function directly
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new_battlecards_result = await fetch_step7_data_battlecards(req)
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if new_battlecards_result and 'battlecards' in new_battlecards_result:
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data['battlecards'] = new_battlecards_result['battlecards']
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print(f"✅ Updated {len(data['battlecards'])} battlecards with topics.")
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else:
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print("⚠️ Failed to update battlecards.")
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# Save
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with open(json_path, 'w') as f:
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json.dump(data, f, indent=2)
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print(f"🎉 Successfully updated {json_path} with full classification.")
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if __name__ == "__main__":
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asyncio.run(refresh_classification())
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