0150aba4f5
- Unify API: lib/api.ts uses /api/v1, inbox uses /api/inbox (rewrites) - Remove localhost refs: openapi, inbox page - Add rewrites: /api/inbox|tmc -> inbox-server, /api/v1 -> FastAPI - Add stub routes: knowledge/insights, recommendations, search, log-error - Transfer from PAPA: prompts (inspection, tmc), scripts, supabase, data/tmc-requests - Fix inbox-server: ORDER BY created_at, package.json - Remove redundant app/api/inbox/files route (rewrites handle it) - knowledge/ in gitignore (large PDFs) Co-authored-by: Cursor <cursoragent@cursor.com>
45 lines
2.2 KiB
Python
45 lines
2.2 KiB
Python
"""
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Агент подбора судебной практики по теме документа.
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"""
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import json
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from .base import BaseLegalAgent, AgentResult
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class JudicialPracticeAgent(BaseLegalAgent):
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"""Подбирает релевантную судебную практику. Ожидает practice_candidates из БД в context."""
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def __init__(self, llm_client=None):
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super().__init__("JudicialPracticeAgent", llm_client)
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def run(self, context: dict) -> AgentResult:
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content = (context.get("content") or "")[:4000]
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title = context.get("title", "")
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candidates = context.get("practice_candidates") or []
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if not candidates:
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return AgentResult(True, {"selected_ids": [], "relevance_summary": ""}, agent_name=self.name)
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system = (
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"Ты — юрист. Выбери из перечня судебных решений те, что релевантны документу. "
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"Верни JSON: {\"selected_ids\": [\"id1\", \"id2\"], \"relevance_summary\": \"кратко, почему они применимы\"}"
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)
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docs = "\n---\n".join(
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f"ID: {p.get('id','')}\nСуд: {p.get('court_name','')}\nНомер: {p.get('case_number','')}\nРезюме: {(p.get('summary') or '')[:800]}"
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for p in candidates[:15]
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)
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user = f"Документ: {title}\n\nФрагмент:\n{content[:2000]}\n\nСудебная практика:\n{docs}"
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out = self._call_llm(system, user, json_mode=True)
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if out:
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try:
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data = json.loads(out)
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ids = [str(x) for x in (data.get("selected_ids") or []) if x][:10]
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summary = str(data.get("relevance_summary") or "")[:1000]
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return AgentResult(True, {"selected_ids": ids, "relevance_summary": summary}, agent_name=self.name)
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except Exception:
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pass
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ids = [str(p.get("id", "")) for p in candidates[:3] if p.get("id")]
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return AgentResult(True, {"selected_ids": ids, "relevance_summary": "Автоматический подбор (LLM недоступен)."}, agent_name=self.name)
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