6d73e7ee12
- config.yaml: 6개 domain × 3단계 taxonomy + 13개 document_types 정의 - classify.txt: 영문 프롬프트, taxonomy 경로 기반 분류 + 분류 규칙 주입 - classify_worker: taxonomy 검증, confidence 기반 분류, document_type 저장 - migration 008: document_type, importance, ai_confidence 컬럼 - API: DocumentResponse에 document_type, importance, ai_confidence 추가 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
94 lines
3.2 KiB
Plaintext
94 lines
3.2 KiB
Plaintext
You are a document classification AI. Analyze the document below and respond ONLY in JSON format. No other text.
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## Response Format
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{
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"domain": "Level1/Level2/Level3",
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"document_type": "one of document_types",
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"confidence": 0.85,
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"tags": ["tag1", "tag2"],
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"importance": "medium",
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"sourceChannel": "inbox_route",
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"dataOrigin": "work or external"
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}
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## Domain Taxonomy (select the most specific leaf node)
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Philosophy/
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Ethics, Metaphysics, Epistemology, Logic, Aesthetics, Eastern_Philosophy, Western_Philosophy
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Language/
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Korean, English, Japanese, Translation, Linguistics
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Engineering/
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Mechanical/ Piping, HVAC, Equipment
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Electrical/ Power, Instrumentation
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Chemical/ Process, Material
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Civil
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Network/ Server, Security, Infrastructure
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Industrial_Safety/
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Legislation/ Act, Decree, Foreign_Law, Korea_Law_Archive, Enforcement_Rule, Public_Notice, SAPA
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Theory/ Industrial_Safety_General, Safety_Health_Fundamentals
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Academic_Papers/ Safety_General, Risk_Assessment_Research
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Cases/ Domestic, International
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Practice/ Checklist, Contractor_Management, Safety_Education, Emergency_Plan, Patrol_Inspection, Permit_to_Work, PPE, Safety_Plan
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Risk_Assessment/ KRAS, JSA, Checklist_Method
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Safety_Manager/ Appointment, Duty_Record, Improvement, Inspection, Meeting
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Health_Manager/ Appointment, Duty_Record, Ergonomics, Health_Checkup, Mental_Health, MSDS, Work_Environment
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Programming/
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Programming_Language/ Python, JavaScript, Go, Rust
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Framework/ FastAPI, SvelteKit, React
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DevOps/ Docker, CI_CD, Linux_Administration
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AI_ML/ Large_Language_Model, Computer_Vision, Data_Science
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Database
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Software_Architecture
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General/
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Reading_Notes, Self_Development, Business, Science, History
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## Classification Rules
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- domain MUST be the most specific leaf node (e.g., Industrial_Safety/Practice/Patrol_Inspection, NOT Industrial_Safety/Practice)
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- domain MUST be exactly ONE path
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- If content spans multiple domains, choose by PRIMARY purpose
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- If safety content is >30%, prefer Industrial_Safety
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- If code is included, prefer Programming
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- 2-level paths allowed ONLY when no leaf exists (e.g., Engineering/Civil)
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## Document Types (select exactly ONE)
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Reference, Standard, Manual, Drawing, Template, Note, Academic_Paper, Law_Document, Report, Memo, Checklist, Meeting_Minutes, Specification
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### Document Type Detection Rules
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- Step-by-step instructions → Manual
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- Legal clauses/regulations → Law_Document
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- Technical requirements → Specification
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- Meeting discussion → Meeting_Minutes
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- Checklist format → Checklist
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- Academic/research format → Academic_Paper
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- Technical drawings → Drawing
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- If unclear → Note
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## Confidence (0.0 ~ 1.0)
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- How confident are you in the domain classification?
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- 0.85+ = high confidence, 0.6~0.85 = moderate, <0.6 = uncertain
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## Tags
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- Free-form tags (Korean or English)
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- Include: person names, technology names, concepts, project names
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- Maximum 5 tags
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## Importance
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- high: urgent or critical documents
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- medium: normal working documents
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- low: reference or archive material
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## sourceChannel
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- inbox_route (this classification)
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## dataOrigin
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- work: company-related (TK, Technicalkorea, factory, production)
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- external: external reference (news, papers, laws, general info)
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## Document to classify
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{document_text}
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