5290287058
- TTS: xtts-v2 integration with voice cloning support
- Document: docling integration for PDF/DOCX/PPTX processing
- Memory Service: added /facts/upsert, /facts/{key}, /facts endpoints
- Added required dependencies (TTS, docling)
62 lines
1.2 KiB
Markdown
62 lines
1.2 KiB
Markdown
# Chandra Document Processing Service
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Wrapper service for Datalab Chandra OCR model for document and table processing.
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## Features
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- Document OCR with structure preservation
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- Table extraction with formatting
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- Handwriting recognition
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- Form processing
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- Output formats: Markdown, HTML, JSON
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## API Endpoints
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### Health Check
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```
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GET /health
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```
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### Process Document
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```
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POST /process
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```
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**Request:**
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- `file`: Uploaded file (PDF, image)
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- `doc_url`: URL to document
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- `doc_base64`: Base64 encoded document
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- `output_format`: markdown, html, or json
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- `accurate_mode`: true/false
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**Response:**
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```json
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{
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"success": true,
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"output_format": "markdown",
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"result": {
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"markdown": "...",
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"metadata": {...}
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}
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}
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```
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### List Models
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```
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GET /models
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```
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## Configuration
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Environment variables:
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- `CHANDRA_API_URL`: URL to Chandra inference service (default: `http://chandra-inference:8000`)
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- `CHANDRA_LICENSE_KEY`: Datalab license key (if required)
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- `CHANDRA_MODEL`: Model name (chandra-small or chandra)
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## Integration
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This service integrates with:
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- Router (`OCR_URL` and `CHANDRA_URL`)
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- Gateway (`doc_service.py`)
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- Memory Service (for storing processed documents)
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