2a4950d8a0
소형 건설업체(100억 미만)를 위한 AI 기반 토목공사 통합관리 플랫폼 Backend (FastAPI): - SQLAlchemy 모델 13개 (users, projects, wbs, tasks, daily_reports, reports, inspections, quality, weather, permits, rag, settings) - API 라우터 11개 (auth, projects, tasks, daily_reports, reports, inspections, weather, rag, kakao, permits, settings) - Services: Claude AI 래퍼, CPM Gantt 계산, 기상청 API, RAG(pgvector), 카카오 Skill API - Alembic 마이그레이션 (pgvector 포함) - pytest 테스트 (CPM, 날씨 경보) Frontend (Next.js 15): - 11개 페이지 (대시보드, 프로젝트, Gantt, 일보, 검측, 품질, 날씨, 인허가, RAG, 설정) - TanStack Query + Zustand + Tailwind CSS 인프라: - Docker Compose (PostgreSQL pgvector + backend + frontend) - 한국어 README 및 설치 가이드 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
52 lines
1.4 KiB
Python
52 lines
1.4 KiB
Python
"""
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Core Claude API wrapper.
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Shared by all AI-powered features: daily reports, inspection gen, report gen, RAG.
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"""
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import anthropic
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from app.config import settings
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_client: anthropic.AsyncAnthropic | None = None
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def get_client() -> anthropic.AsyncAnthropic:
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global _client
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if _client is None:
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_client = anthropic.AsyncAnthropic(api_key=settings.ANTHROPIC_API_KEY)
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return _client
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async def complete(
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messages: list[dict],
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system: str,
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temperature: float = 0.3,
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max_tokens: int | None = None,
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) -> str:
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"""
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Call Claude and return the text response.
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Logs token usage for cost monitoring.
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"""
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client = get_client()
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response = await client.messages.create(
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model=settings.CLAUDE_MODEL,
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max_tokens=max_tokens or settings.CLAUDE_MAX_TOKENS,
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temperature=temperature,
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system=system,
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messages=messages,
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)
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# Log token usage
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usage = response.usage
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print(f"[AI] input={usage.input_tokens} output={usage.output_tokens} total={usage.input_tokens + usage.output_tokens}")
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return response.content[0].text
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async def complete_json(
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messages: list[dict],
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system: str,
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temperature: float = 0.3,
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) -> str:
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"""Call Claude with JSON output instruction."""
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json_system = system + "\n\n반드시 유효한 JSON 형식으로만 응답하세요. 다른 텍스트를 포함하지 마세요."
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return await complete(messages, json_system, temperature)
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