forked from 0xWheatyz/SPARC
agent-company
b000146585
- Make LLM model configurable via MODEL env var, default anthropic/claude-3.5-sonnet (#12) - Expose SERP cache TTL as SERP_CACHE_TTL_HOURS env var, default 24 hours (#13) - Fix Patent.patent_id type annotation from int to str in types.py (#14) - Replace all print() calls with structured logging in analyzer.py and llm.py (#11) - Add LOG_LEVEL config with basicConfig setup in config.py - Add model and serp_cache_ttl_hours to config.py Closes leeworks-agents/SPARC#11 Closes leeworks-agents/SPARC#12 Closes leeworks-agents/SPARC#13 Closes leeworks-agents/SPARC#14 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
39 lines
795 B
Python
39 lines
795 B
Python
from dataclasses import dataclass, field
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from datetime import datetime
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@dataclass
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class Patent:
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patent_id: str
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pdf_link: str
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pdf_path: str | None = None
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summary: dict | None = None
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@dataclass
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class Patents:
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patents: list[Patent]
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@dataclass
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class CompanyAnalysisResult:
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"""Result of analyzing a single company's patent portfolio."""
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company_name: str
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analysis: str
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patent_count: int
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success: bool
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error: str | None = None
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timestamp: datetime = field(default_factory=datetime.now)
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@dataclass
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class BatchAnalysisResult:
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"""Result of batch analyzing multiple companies."""
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results: list[CompanyAnalysisResult]
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total_companies: int
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successful: int
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failed: int
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timestamp: datetime = field(default_factory=datetime.now)
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