perf(analyzer): parallelize patent download/parse/minimize with threads

Replace the sequential per-patent loop with a ThreadPoolExecutor
(workers controlled by PATENT_THREAD_WORKERS config). Each patent is
processed independently in _process_single_patent, which is thread-safe
since SERP methods are stateless and operate on separate files.

SPARC/analyzer.py

@@ -7,6 +7,7 @@ to provide company performance estimation based on patent portfolios.
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from typing import Callable
 
+from SPARC import config
 from SPARC.serp_api import SERP
 from SPARC.llm import LLMAnalyzer
 from SPARC.types import Patent, CompanyAnalysisResult, BatchAnalysisResult
@@ -49,28 +50,21 @@ class CompanyAnalyzer:
 
         print(f"Found {len(patents.patents)} patents. Processing...")
 
-        # Download and parse each patent
+        # Download, parse, and minimize patents in parallel
         processed_patents = []
-        for idx, patent in enumerate(patents.patents, 1):
-            print(f"Processing patent {idx}/{len(patents.patents)}: {patent.patent_id}")
-
+        with ThreadPoolExecutor(max_workers=config.patent_thread_workers) as executor:
+            future_to_patent = {
+                executor.submit(self._process_single_patent, patent): patent
+                for patent in patents.patents
+            }
+            for future in as_completed(future_to_patent):
+                patent = future_to_patent[future]
                 try:
-                # Download PDF
-                patent = SERP.save_patents(patent)
-
-                # Parse sections from PDF
-                sections = SERP.parse_patent_pdf(patent.pdf_path)
-
-                # Minimize for LLM (remove bloat)
-                minimized_content = SERP.minimize_patent_for_llm(sections)
-
-                processed_patents.append(
-                    {"patent_id": patent.patent_id, "content": minimized_content}
-                )
-
+                    result = future.result()
+                    if result:
+                        processed_patents.append(result)
                 except Exception as e:
                     print(f"Warning: Failed to process {patent.patent_id}: {e}")
-                continue
 
         if not processed_patents:
             return f"Failed to process any patents for {company_name}"
@@ -115,6 +109,22 @@ class CompanyAnalyzer:
         except Exception as e:
             return f"Failed to analyze patent {patent_id}: {e}"
 
+    @staticmethod
+    def _process_single_patent(patent: Patent) -> dict | None:
+        """Download, parse, and minimize a single patent. Thread-safe.
+
+        Returns:
+            Dict with patent_id and minimized content, or None on failure.
+        """
+        try:
+            patent = SERP.save_patents(patent)
+            sections = SERP.parse_patent_pdf(patent.pdf_path)
+            minimized_content = SERP.minimize_patent_for_llm(sections)
+            return {"patent_id": patent.patent_id, "content": minimized_content}
+        except Exception as e:
+            print(f"Warning: Failed to process {patent.patent_id}: {e}")
+            return None
+
     def _analyze_company_safe(self, company_name: str) -> CompanyAnalysisResult:
         """Internal wrapper that catches exceptions and returns structured result.