0xWheatyz/SPARC
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0xWheatyz a91c3badab feat: implement company performance estimation orchestration 
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>
2026-02-19 18:57:10 -05:00
SPARC feat: implement company performance estimation orchestration 2026-02-19 18:57:10 -05:00
tests feat: implement company performance estimation orchestration 2026-02-19 18:57:10 -05:00
.gitignore docs: updated documentation about possible not needing google patent API 2025-12-08 19:39:11 -05:00
flake.lock feat: patent retrival and semi-processed 2025-12-08 19:33:02 -05:00
flake.nix feat: patent retrival and semi-processed 2025-12-08 19:33:02 -05:00
main.py feat: implement company performance estimation orchestration 2026-02-19 18:57:10 -05:00
README.md docs: updated documentation about possible not needing google patent API 2025-12-08 19:39:11 -05:00
requirements.txt feat: add LLM integration for patent analysis 2026-02-19 18:55:35 -05:00

README.md

SPARC

Name

Semiconductor Patent & Analytics Report Core

Description

Installation

NixOS Installation

nix develop to build and configure nix dev environment

Usage

docker compose up -d

Roadmap

  • Retrive publicationID from SERP API
  • Retrive data from Google's patent API based on those publicationID's
    • This may not be needed, looking to parse the patents based soley on the pdf retrived from SERP
  • Wrap this into a python fastAPI, then bundle with docker

License

For open source projects, say how it is licensed.

Project status

Heavy development for the limited time available to me