0xWheatyz
a91c3badab
Created CompanyAnalyzer class that orchestrates the complete pipeline: 1. Retrieves patents via SERP API 2. Downloads and parses PDFs 3. Minimizes content (removes bloat) 4. Analyzes portfolio with LLM 5. Returns performance estimation Features: - Full company portfolio analysis - Single patent analysis support - Robust error handling (continues on partial failures) - Progress logging for user visibility Updated main.py with clean example usage demonstrating the high-level API. Added comprehensive test suite (7 tests) covering: - Full pipeline integration - Error handling at each stage - Single patent analysis - Edge cases (no patents, all failures) All 26 tests passing. This completes the core functionality for patent-based company performance estimation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
44 lines
1.0 KiB
Python
44 lines
1.0 KiB
Python
"""SPARC - Semiconductor Patent & Analytics Report Core
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Example usage of the company performance analyzer.
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Before running:
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1. Create a .env file with:
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API_KEY=your_serpapi_key
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ANTHROPIC_API_KEY=your_anthropic_key
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2. Run: python main.py
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"""
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from SPARC.analyzer import CompanyAnalyzer
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def main():
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"""Analyze a company's performance based on their patent portfolio."""
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# Initialize the analyzer (loads API keys from .env)
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analyzer = CompanyAnalyzer()
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# Analyze a company - this will:
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# 1. Retrieve patents from SERP API
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# 2. Download and parse patent PDFs
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# 3. Minimize content (remove bloat)
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# 4. Analyze with Claude to estimate performance
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company_name = "nvidia"
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print(f"\n{'=' * 70}")
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print(f"SPARC Patent Analysis - {company_name.upper()}")
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print(f"{'=' * 70}\n")
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analysis = analyzer.analyze_company(company_name)
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print(f"\n{'=' * 70}")
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print("ANALYSIS RESULTS")
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print(f"{'=' * 70}\n")
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print(analysis)
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print(f"\n{'=' * 70}\n")
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if __name__ == "__main__":
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main()
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