Merge pull request 'docs: patent PDF storage docs, FileNotFoundError, frontend lockfile' (#31) from feature/p2-docs-and-lockfile into main

This commit is contained in:
2026-03-26 05:04:01 +00:00
3 changed files with 4762 additions and 5 deletions
+19 -5
View File
@@ -104,21 +104,33 @@ class CompanyAnalyzer:
def analyze_single_patent(self, patent_id: str, company_name: str) -> str:
"""Analyze a single patent by ID.
Useful for focused analysis of specific innovations.
Prerequisite:
The patent PDF must already exist at ``patents/{patent_id}.pdf``
before calling this method. PDFs are downloaded automatically when
using the batch analysis pipeline (``analyze_company`` or the
``/analyze/batch`` API endpoint). For standalone usage, download
the PDF manually or call ``SERP.save_patents()`` first.
Args:
patent_id: Publication ID of the patent
patent_id: Publication ID of the patent (e.g. "US-11234567-B2")
company_name: Name of the company (for context)
Returns:
Analysis of the specific patent's innovation quality
Raises:
FileNotFoundError: If the patent PDF is not found at the expected path.
"""
# Note: This simplified version assumes the patent PDF is already downloaded
# A more complete implementation would support direct patent ID lookup
print(f"Analyzing patent {patent_id} for {company_name}...")
import os
patent_path = f"patents/{patent_id}.pdf"
if not os.path.exists(patent_path):
raise FileNotFoundError(
f"Patent PDF not found at '{patent_path}'. "
f"Download the PDF first using SERP.save_patents() or the batch analysis pipeline."
)
try:
sections = SERP.parse_patent_pdf(patent_path)
minimized_content = SERP.minimize_patent_for_llm(sections)
@@ -129,6 +141,8 @@ class CompanyAnalyzer:
return analysis
except FileNotFoundError:
raise
except Exception as e:
return f"Failed to analyze patent {patent_id}: {e}"