690617:1443 237 #01.3
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@@ -120,7 +120,7 @@ VALUES ('classification_prompt', 1, '<template for document classification>',
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**Sandbox Endpoints (อัปเดตจาก ADR-035):**
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- `POST /api/ai/admin/sandbox/ocr` - Step 1: OCR (มีอยู่แล้ว)
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- `POST /api/ai/admin/sandbox/ai-extract` - Step 2: AI Extract (มีอยู่แล้ว)
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- `POST /api/ai/admin/sandbox/extract` - Step 2: AI Extract (มีอยู่แล้ว)
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- `POST /api/ai/admin/sandbox/rag-prep` - Step 3: RAG Prep (ใหม่)
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### 3. Frontend UX/UI Layout
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@@ -180,7 +180,8 @@ VALUES ('classification_prompt', 1, '<template for document classification>',
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- **Project Filter:** Optional, UUID (publicId), must exist in projects table
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- **Contract Filter:** Optional, UUID (publicId), must exist in contracts table
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- **Page Size:** Optional, integer, min=1, max=1000, default=null (process all pages)
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- **Language:** Optional, enum (TH, EN, MIXED), default=MIXED
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- **Language:** Optional, enum (`th`, `en`, `mixed`), default=`th`
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- **Output Language:** Optional, enum (`th`, `en`, `mixed`), default=`th`
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### 4. Sandbox Workflow (Hybrid Flow)
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@@ -189,17 +190,17 @@ VALUES ('classification_prompt', 1, '<template for document classification>',
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Admin Upload PDF
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→ POST /api/ai/admin/sandbox/ocr
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→ BullMQ (ai-realtime) job type: "sandbox-ocr-only"
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→ OcrService → Sidecar (typhoon-np-dms-ocr)
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→ OcrService → Sidecar (np-dms-ocr, Canonical OCR Identity)
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→ Raw OCR text
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```
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**Step 2: AI Extract**
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```
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Admin Select Prompt Version
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→ POST /api/ai/admin/sandbox/ai-extract
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→ BullMQ (ai-realtime) job type: "sandbox-ai-extract"
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→ POST /api/ai/admin/sandbox/extract
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→ BullMQ (ai-batch) job type: "sandbox-extract"
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→ Load prompt from ai_prompts (selected version)
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→ OllamaService → typhoon2.5-np-dms
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→ OllamaService → np-dms-ai (Canonical Model Identity)
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→ Structured metadata (JSON)
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```
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@@ -207,10 +208,12 @@ Admin Select Prompt Version
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```
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Admin Click "Test RAG Prep" (required)
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→ POST /api/ai/admin/sandbox/rag-prep
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→ BullMQ (ai-realtime) job type: "sandbox-rag-prep"
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→ OllamaService → typhoon2.5-np-dms (Semantic Chunking)
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→ Sidecar → BGE-M3 (Embedding)
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→ Chunks + Vectors
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→ BullMQ (ai-batch) job type: "sandbox-rag-prep"
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→ Always uses ACTIVE rag_prep_prompt (not the version under test)
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— RAG Prep is a global chunking operation, not version-specific
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→ OllamaService → np-dms-ai (Semantic Chunking → XML <chunk> tags)
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→ OcrService.embedViaSidecar() per chunk (OCR Sidecar /embed endpoint)
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→ Chunks + Vectors (stored in Redis 60min TTL, NOT committed to Qdrant)
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```
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**Activate to Production:**
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