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jpmschweitzerandClaude Opus 4.5
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4ff3fc4c7a |
+3
-1
@@ -7,6 +7,7 @@ QDRANT_PORT=6333
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OLLAMA_URL=http://192.168.86.149:11434
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SEARXNG_URL=http://192.168.86.149:8080
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REDIS_HOST=192.168.86.149
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||||
PAPERLESS_URL=http://192.168.86.149:8091
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OLLAMA_MODEL=mistral-nemo-large:latest
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OLLAMA_EMBEDDING_MODEL=nomic-embed-text
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@@ -20,4 +21,5 @@ WIKI_GRAPHQL_API=your_jwt_token_here
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LIBRARY_API_KEY=key_here
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||||
NEO4J_PASSWORD=key_here
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||||
WIKIJS_DB_PASSWORD=key_here
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||||
SCHEDULER_API_KEY=key_here
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||||
SCHEDULER_API_KEY=key_here
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||||
PAPERLESS_TOKEN=key_here
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||||
@@ -5,6 +5,66 @@ All notable changes to Library Desk will be documented in this file.
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||||
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [1.4.8] - 2025-12-25
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|
||||
### Added
|
||||
|
||||
- **Paperless Orphan Cleanup** - `POST /maintenance/cleanup/paperless` endpoint
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||||
- Detects documents deleted from Paperless but still indexed in Library Desk
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||||
- Removes orphaned vectors and graph nodes
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||||
- Supports `dry_run=true` for preview mode
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||||
|
||||
## [1.4.7] - 2025-12-25
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||||
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||||
### Fixed
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||||
|
||||
- **Paperless Custom Field Update** - Fixed 400 error when marking documents as indexed
|
||||
- Paperless API requires field ID (integer) not field name (string)
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||||
- Now looks up `library_indexed` field ID before updating
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||||
- Webhook params format: `doc_url` and `title` from Jinja templates
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||||
|
||||
### Added
|
||||
|
||||
- **Webhook Debug Endpoint** - `POST /documents/webhook-capture` for development testing
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||||
|
||||
## [1.4.6] - 2025-12-25
|
||||
|
||||
### Fixed
|
||||
|
||||
- **Paperless Webhook Payload Format** - Updated model to match Paperless `include_document=true` format
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||||
- Paperless sends `id` instead of `document_id`
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||||
- Paperless sends full document data including `content`, `title`, `tags`, etc.
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||||
- Webhook now uses content from payload, skipping extra Paperless API call
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||||
- Added `extra = "ignore"` to handle additional Paperless fields
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||||
|
||||
## [1.4.5] - 2025-12-25
|
||||
|
||||
### Added
|
||||
|
||||
- **Document Storage Integration** - Paperless-ngx integration for PDFs, images, and documents
|
||||
- Event-driven architecture via Paperless webhooks
|
||||
- `POST /documents/webhook` - Receive document events from Paperless workflows
|
||||
- `POST /documents/upload` - Upload files directly to Paperless
|
||||
- `POST /documents/upload-url` - Download and upload documents from URL
|
||||
- `POST /documents/search` - Semantic search across indexed documents
|
||||
- `GET /documents/health` - Paperless connectivity health check
|
||||
- **DocumentSyncService** - Indexes Paperless documents into vectors and graph
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||||
- Fetches document content via Paperless API
|
||||
- Chunks text and generates embeddings for Qdrant
|
||||
- Creates Document nodes in Neo4j knowledge graph
|
||||
- Supports multi-tenancy via user parameter in webhook URL
|
||||
- **PaperlessClient** - REST API client for Paperless-ngx
|
||||
- Document retrieval, upload, and update operations
|
||||
- Health check support
|
||||
- **Paperless Workflow Configuration**
|
||||
- Production workflow: Document Added (NOT tagged llm-test) → webhook to Library Desk
|
||||
- Test workflow: Document Added (tagged llm-test) → webhook with test user
|
||||
|
||||
### Changed
|
||||
|
||||
- Updated `src/config.py` with Paperless configuration settings
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||||
- Added `PaperlessDep` dependency injection for document endpoints
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||||
|
||||
## [1.4.4] - 2025-12-24
|
||||
|
||||
### Added
|
||||
|
||||
@@ -0,0 +1,509 @@
|
||||
# Phase 3: Document Storage System - Implementation Plan
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||||
|
||||
## Overview
|
||||
|
||||
Document storage tier for Library Desk - storing and indexing PDFs, images, videos, and git documentation mirrors.
|
||||
|
||||
**User Decisions:**
|
||||
- Paperless-ngx container for OCR
|
||||
- Ebooks deferred to future phase
|
||||
- Video.js player deferred to after core implementation
|
||||
|
||||
| Phase | Status | Version |
|
||||
|-------|--------|---------|
|
||||
| Phase 1: Cleanup System | Complete | v1.4.0 |
|
||||
| Phase 2: Volatile Memory | Complete | v1.4.3 |
|
||||
| Phase 3: Document Storage | Planning | - |
|
||||
| Phase 4: Test Data Cleanup | Complete | v1.4.4 |
|
||||
|
||||
---
|
||||
|
||||
## Architecture
|
||||
|
||||
**Paperless-ngx as primary document store** (no SeaweedFS needed):
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ External Sources │
|
||||
│ ┌─────────┐ ┌────────────┐ ┌──────────────┐ │
|
||||
│ │ GitHub │ │ Direct │ │ Email/Folder │ │
|
||||
│ │ Docs │ │ Upload │ │ Ingestion │ │
|
||||
│ └────┬────┘ └─────┬──────┘ └──────┬───────┘ │
|
||||
└───────┼─────────────┼────────────────┼──────────────────────────┘
|
||||
│ │ │
|
||||
▼ ▼ ▼
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ Paperless-ngx │
|
||||
│ ┌───────────────────────────────────────────────────────────┐ │
|
||||
│ │ - Document storage (PDFs, images, videos) │ │
|
||||
│ │ - OCR via Tesseract (PDFs, images) │ │
|
||||
│ │ - Web UI for browsing/tagging │ │
|
||||
│ │ - REST API for integration │ │
|
||||
│ └─────────────────────────┬─────────────────────────────────┘ │
|
||||
└────────────────────────────┼────────────────────────────────────┘
|
||||
│ REST API (sync)
|
||||
▼
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ Library Desk │
|
||||
│ ┌───────────────────────────────────────────────────────────┐ │
|
||||
│ │ DocumentSyncService │ │
|
||||
│ │ - Polls Paperless for new/updated docs │ │
|
||||
│ │ - Extracts text + metadata via API │ │
|
||||
│ │ - Sends to vector/graph pipelines │ │
|
||||
│ └─────────────────────────┬─────────────────────────────────┘ │
|
||||
│ │ │
|
||||
│ ┌────────────────┼────────────────┐ │
|
||||
│ ▼ ▼ ▼ │
|
||||
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
|
||||
│ │ Qdrant │ │ Neo4j │ │ Wiki.js │ │
|
||||
│ │ (vectors)│ │ (graph) │ │ (catalog)│ │
|
||||
│ └──────────┘ └──────────┘ └──────────┘ │
|
||||
└─────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
**File handling by type:**
|
||||
|
||||
| File Type | Paperless | Library Desk |
|
||||
|-----------|-----------|--------------|
|
||||
| PDFs | OCR → text | Index text → vectors/graph |
|
||||
| Images | OCR → text | Index text → vectors/graph |
|
||||
| Videos | Storage only | Index metadata → vectors/graph |
|
||||
|
||||
---
|
||||
|
||||
## Technology Stack
|
||||
|
||||
| Component | Purpose | Rationale |
|
||||
|-----------|---------|-----------|
|
||||
| **Paperless-ngx** | Document storage + OCR | All-in-one: storage, OCR, web UI, REST API |
|
||||
| **ClamAV** | Virus scanning | Host OS install, pyclamd integration, better isolation |
|
||||
| **PDF.js** | PDF viewer | Embeddable in Wiki.js (deferred) |
|
||||
|
||||
**Why Paperless-ngx as primary store:**
|
||||
- Eliminates need for separate blob storage (SeaweedFS/MinIO)
|
||||
- Built-in web UI for browsing and tagging
|
||||
- Tesseract OCR with 100+ language support
|
||||
- REST API for Library Desk integration
|
||||
- Handles videos as raw files (no OCR, but stored)
|
||||
- Email and folder watching for automatic ingestion
|
||||
- Active community, well-maintained
|
||||
|
||||
---
|
||||
|
||||
## Paperless-ngx API Deep Dive
|
||||
|
||||
### Authentication
|
||||
```
|
||||
POST /api/token/
|
||||
Body: {"username": "...", "password": "..."}
|
||||
Response: {"token": "..."}
|
||||
|
||||
Header: Authorization: Token <token>
|
||||
```
|
||||
|
||||
### Document Upload (for HybridRAG → Paperless)
|
||||
```
|
||||
POST /api/documents/post_document/
|
||||
Content-Type: multipart/form-data
|
||||
|
||||
Fields:
|
||||
- document (file, required)
|
||||
- title (string)
|
||||
- created (datetime)
|
||||
- correspondent (ID)
|
||||
- document_type (ID)
|
||||
- storage_path (ID)
|
||||
- tags (repeatable IDs)
|
||||
- custom_fields (JSON array)
|
||||
|
||||
Response: {"task_id": "uuid"}
|
||||
```
|
||||
|
||||
Track consumption: `GET /api/tasks/?task_id={uuid}` → returns document ID when complete
|
||||
|
||||
### Document Search
|
||||
```
|
||||
GET /api/documents/?query=search+terms # Full-text search
|
||||
GET /api/documents/?more_like_id=123 # Similarity search
|
||||
|
||||
Response includes __search_hit__:
|
||||
{
|
||||
"score": 0.95,
|
||||
"highlights": "<span>matched</span> text",
|
||||
"rank": 0
|
||||
}
|
||||
```
|
||||
|
||||
### Custom Field Filtering
|
||||
```
|
||||
GET /api/documents/?custom_field_query=field_name__operation=value
|
||||
|
||||
Operations:
|
||||
- exact, in, isnull, exists (all types)
|
||||
- icontains, istartswith, iendswith (text)
|
||||
- gt, gte, lt, lte, range (numeric/date)
|
||||
- contains (document links)
|
||||
```
|
||||
|
||||
### Bulk Operations
|
||||
```
|
||||
POST /api/documents/bulk_edit/
|
||||
{
|
||||
"documents": [1, 2, 3],
|
||||
"method": "add_tag|remove_tag|set_correspondent|set_document_type|merge|split|...",
|
||||
"parameters": {...}
|
||||
}
|
||||
```
|
||||
|
||||
### Webhooks (Push to Library Desk!)
|
||||
Paperless workflows can trigger webhooks on document events:
|
||||
|
||||
| Trigger | When | Available Data |
|
||||
|---------|------|----------------|
|
||||
| Consumption Started | Before OCR | file_path, source, filename |
|
||||
| Document Added | After OCR | content, tags, doc_type, correspondent, `{doc_url}` |
|
||||
| Document Updated | On change | Same as Added |
|
||||
| Scheduled | Time-based | Date offsets from document dates |
|
||||
|
||||
**Webhook Action**: POST to Library Desk endpoint with document data
|
||||
|
||||
### Organization Features
|
||||
|
||||
| Feature | Purpose | API Endpoint |
|
||||
|---------|---------|--------------|
|
||||
| Tags | Nested labels (5 levels deep) | `/api/tags/` |
|
||||
| Correspondents | Source/destination | `/api/correspondents/` |
|
||||
| Document Types | Classification | `/api/document_types/` |
|
||||
| Storage Paths | File organization | `/api/storage_paths/` |
|
||||
| Custom Fields | Extensible metadata | `/api/custom_fields/` |
|
||||
|
||||
### Custom Fields We Should Create
|
||||
| Field Name | Type | Purpose |
|
||||
|------------|------|---------|
|
||||
| `source_url` | URL | Original download URL (for HybridRAG uploads) |
|
||||
| `library_indexed` | Boolean | Sync status with Library Desk |
|
||||
| `library_doc_id` | Text | Library Desk document reference |
|
||||
| `collection` | Text | Logical grouping (e.g., "fastapi-docs") |
|
||||
|
||||
### External LLM Add-ons (Optional)
|
||||
Community tools exist for Ollama integration:
|
||||
- **[paperless-ai](https://github.com/clusterzx/paperless-ai)** - Auto-tagging, RAG chat
|
||||
- **[paperless-gpt](https://github.com/icereed/paperless-gpt)** - LLM-enhanced OCR, auto-titling
|
||||
|
||||
**Recommendation:** Skip these - Library Desk already has Ollama integration for:
|
||||
- Embedding (nomic-embed-text)
|
||||
- LLM analysis (mistral-nemo)
|
||||
- Entity extraction
|
||||
- HybridRAG
|
||||
|
||||
We'll do our own classification/tagging via Library Desk after sync.
|
||||
|
||||
---
|
||||
|
||||
## Virus Scanning Integration
|
||||
|
||||
**ClamAV daemon + pyclamd** (no third-party REST wrappers):
|
||||
|
||||
```
|
||||
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
|
||||
│ File Upload │────►│ Library Desk │────►│ ClamAV Daemon │
|
||||
│ (URL or file) │ │ (pyclamd) │ │ (clamd:3310) │
|
||||
└─────────────────┘ └────────┬────────┘ └─────────────────┘
|
||||
│
|
||||
┌────────────┴────────────┐
|
||||
▼ ▼
|
||||
┌──────────┐ ┌──────────┐
|
||||
│ Clean │ │ Infected │
|
||||
│ ✓ │ │ ✗ │
|
||||
└────┬─────┘ └────┬─────┘
|
||||
│ │
|
||||
▼ ▼
|
||||
Upload to Paperless Reject + Log
|
||||
```
|
||||
|
||||
### ClamAV Deployment (Host OS)
|
||||
|
||||
ClamAV runs on the host OS (not containerized) for better security isolation:
|
||||
|
||||
```bash
|
||||
# Installed via apt on Ubuntu/Debian
|
||||
# Config: /etc/clamav/clamd.conf
|
||||
# TCPSocket 3310
|
||||
# TCPAddr 0.0.0.0
|
||||
```
|
||||
|
||||
Benefits: scans outside container isolation, single virus DB, survives container restarts.
|
||||
|
||||
### Library Desk Integration
|
||||
```python
|
||||
# src/clients/clamav_client.py
|
||||
import pyclamd
|
||||
|
||||
class ClamAVClient:
|
||||
def __init__(self, host: str, port: int = 3310):
|
||||
self.cd = pyclamd.ClamdNetworkSocket(host, port)
|
||||
|
||||
async def scan_bytes(self, data: bytes) -> ScanResult:
|
||||
"""Scan file bytes, return clean/infected status."""
|
||||
result = self.cd.scan_stream(data)
|
||||
if result is None:
|
||||
return ScanResult(clean=True)
|
||||
return ScanResult(clean=False, virus_name=result['stream'][1])
|
||||
|
||||
def ping(self) -> bool:
|
||||
"""Health check."""
|
||||
return self.cd.ping()
|
||||
```
|
||||
|
||||
### Scan Points
|
||||
| Location | When | Action on Infected |
|
||||
|----------|------|-------------------|
|
||||
| `/documents/upload` | Before Paperless upload | Reject with 400, log threat |
|
||||
| HybridRAG web fetch | Before saving PDF | Skip file, log threat |
|
||||
| `/documents/webhook` | Optional re-scan | Quarantine in Paperless |
|
||||
|
||||
### Config Settings
|
||||
```python
|
||||
# src/config.py
|
||||
CLAMAV_HOST: str = "192.168.86.149" # Host OS IP (not container)
|
||||
CLAMAV_PORT: int = 3310
|
||||
CLAMAV_ENABLED: bool = True # Bypass for testing
|
||||
CLAMAV_TIMEOUT: int = 30 # seconds
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Integration Strategy
|
||||
|
||||
### Option A: Webhook Push (Preferred)
|
||||
```
|
||||
Paperless Workflow → POST webhook → Library Desk /documents/webhook
|
||||
```
|
||||
- Real-time indexing when documents added/updated
|
||||
- Configure in Paperless: Workflow → Document Added → Webhook Action
|
||||
- Library Desk receives document ID, fetches content via API
|
||||
|
||||
### Option B: Polling Pull (Fallback)
|
||||
```
|
||||
Scheduler → POST /documents/sync → Library Desk polls Paperless
|
||||
```
|
||||
- Periodic sync for missed webhooks or initial bulk import
|
||||
- Track `library_indexed` custom field to skip already-processed docs
|
||||
|
||||
### Option C: HybridRAG Upload (New!)
|
||||
```
|
||||
HybridRAG web search → finds PDF → POST to Paperless → webhook → indexed
|
||||
```
|
||||
- When HybridRAG finds a relevant PDF/document in web results
|
||||
- Download and upload to Paperless with `source_url` custom field
|
||||
- Paperless OCRs it, triggers webhook, Library Desk indexes
|
||||
|
||||
---
|
||||
|
||||
## Library Desk API Design
|
||||
|
||||
### Documents Router (`/documents`)
|
||||
|
||||
| Endpoint | Method | Purpose |
|
||||
|----------|--------|---------|
|
||||
| `/documents/webhook` | POST | Receive Paperless webhook (Document Added/Updated) |
|
||||
| `/documents/sync` | POST | Pull new/updated docs from Paperless → index |
|
||||
| `/documents/upload` | POST | Upload file to Paperless (for HybridRAG) |
|
||||
| `/documents/sync-from-git` | POST | Pull docs from Gitea → upload to Paperless → index |
|
||||
| `/documents/{document_id}` | GET | Get document metadata |
|
||||
| `/documents/{document_id}/text` | GET | Get extracted text |
|
||||
| `/documents/search` | POST | Semantic search across documents |
|
||||
| `/documents/collection/{name}` | GET | List documents in collection |
|
||||
| `/documents/collection/{name}/catalog` | POST | Generate wiki catalog page |
|
||||
|
||||
**Upload flow (HybridRAG → Paperless):**
|
||||
1. HybridRAG finds PDF in web results
|
||||
2. POST `/documents/upload` with URL or file
|
||||
3. Library Desk downloads, uploads to Paperless with metadata
|
||||
4. Returns task_id for async tracking
|
||||
5. Paperless webhook triggers indexing when OCR complete
|
||||
|
||||
### Viewers Router (`/viewers`) - Deferred
|
||||
|
||||
| Endpoint | Method | Purpose |
|
||||
|----------|--------|---------|
|
||||
| `/viewers/pdf/{document_id}` | GET | Serve PDF.js viewer |
|
||||
| `/viewers/image/{document_id}` | GET | Serve image lightbox |
|
||||
| `/viewers/video/{document_id}` | GET | Serve Video.js player |
|
||||
|
||||
---
|
||||
|
||||
## Data Flow: Document Processing Pipeline
|
||||
|
||||
```
|
||||
1. INTAKE (Paperless-ngx handles this)
|
||||
└─ Upload via Paperless UI, email, or folder watch
|
||||
└─ Paperless assigns document ID and stores file
|
||||
|
||||
2. OCR EXTRACTION (Paperless-ngx handles this)
|
||||
├─ PDFs → Tesseract → Plain text
|
||||
├─ Images → Tesseract → Plain text
|
||||
└─ Videos → Metadata only (no OCR)
|
||||
|
||||
3. SYNC TO LIBRARY DESK (scheduled or manual)
|
||||
└─ Poll Paperless API for new/updated documents
|
||||
└─ Fetch text content + metadata
|
||||
|
||||
4. TEXT CHUNKING
|
||||
└─ VectorService._chunk_text() (existing)
|
||||
|
||||
5. EMBEDDING
|
||||
└─ OllamaClient.embed() (existing)
|
||||
|
||||
6. VECTOR STORAGE (Qdrant)
|
||||
└─ Payload: {doc_type: "document", paperless_id, ...}
|
||||
|
||||
7. GRAPH STORAGE (Neo4j)
|
||||
└─ Document node + MENTIONS relationships
|
||||
|
||||
8. WIKI CATALOG (optional)
|
||||
└─ Auto-generate catalog page via ConsolidationService
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Git Docs Integration
|
||||
|
||||
Extends existing `scheduler/src/executors/doc_sync_executor.py`:
|
||||
|
||||
1. **Scheduler** syncs docs from GitHub → Gitea (existing)
|
||||
2. **Post-sync hook** calls `POST /documents/sync-from-git`
|
||||
3. **Library Desk** indexes docs into vectors/graph
|
||||
4. **Auto-generate** wiki catalog page for collection
|
||||
|
||||
---
|
||||
|
||||
## Wiki.js Viewer Integration
|
||||
|
||||
Since Wiki.js v2 requires disabled HTML sanitization for iframes:
|
||||
|
||||
```markdown
|
||||
<!-- In wiki catalog page -->
|
||||
## Document Preview
|
||||
|
||||
<iframe
|
||||
src="http://library-desk:8089/viewers/pdf/abc123"
|
||||
width="100%" height="600px">
|
||||
</iframe>
|
||||
```
|
||||
|
||||
**Wiki.js Settings Required:**
|
||||
- `Administration > Security > Allowed HTML Elements: iframe`
|
||||
- `Content Security Policy: frame-src http://library-desk:8089`
|
||||
|
||||
---
|
||||
|
||||
## Implementation Phases
|
||||
|
||||
### Phase 3.1: Infrastructure Setup
|
||||
- [ ] Deploy Paperless-ngx container (Docker Compose)
|
||||
- [x] ClamAV installed on host OS (port 3310)
|
||||
- [ ] Configure Paperless: storage path, OCR settings, API token
|
||||
- [ ] Create custom fields in Paperless: `source_url`, `library_indexed`, `library_doc_id`, `collection`
|
||||
- [ ] Create `src/clients/paperless_client.py`
|
||||
- [ ] Create `src/clients/clamav_client.py` (pyclamd wrapper)
|
||||
- [ ] Create `src/models/document.py`
|
||||
- [ ] Add config settings to `src/config.py` (PAPERLESS_*, CLAMAV_*)
|
||||
|
||||
### Phase 3.2: Webhook Integration (Push)
|
||||
- [ ] Create `src/routers/documents.py`
|
||||
- [ ] Implement `/documents/webhook` endpoint (receives Paperless events)
|
||||
- [ ] Configure Paperless Workflow: Document Added → Webhook → Library Desk
|
||||
- [ ] Create `src/services/document_sync_service.py`
|
||||
- [ ] Implement document indexing pipeline (fetch text → chunk → embed → graph)
|
||||
|
||||
### Phase 3.3: Polling Sync (Pull Fallback)
|
||||
- [ ] Implement `/documents/sync` endpoint
|
||||
- [ ] Poll Paperless for docs where `library_indexed=false`
|
||||
- [ ] Track sync state (last_sync timestamp in Redis)
|
||||
- [ ] Update `library_indexed` after successful indexing
|
||||
|
||||
### Phase 3.4: HybridRAG Upload Integration
|
||||
- [ ] Implement `/documents/upload` endpoint
|
||||
- [ ] Download file from URL
|
||||
- [ ] **Virus scan before upload** (reject if infected, log threat)
|
||||
- [ ] Upload clean files to Paperless with metadata
|
||||
- [ ] Set `source_url` custom field
|
||||
- [ ] Extend HybridRAG service to detect and upload relevant PDFs
|
||||
- [ ] Add `save_to_documents` option to HybridRAG config
|
||||
|
||||
### Phase 3.5: Indexing Pipeline
|
||||
- [ ] Extend VectorService for `doc_type: "document"`
|
||||
- [ ] Extend GraphService for Document nodes (link to Paperless ID)
|
||||
- [ ] Implement `/documents/search` endpoint
|
||||
- [ ] Add dependency injection
|
||||
|
||||
### Phase 3.6: Git Docs Integration
|
||||
- [ ] Create `src/clients/gitea_client.py`
|
||||
- [ ] Implement `/documents/sync-from-git` → bulk upload to Paperless
|
||||
- [ ] Create collection auto-cataloging (wiki pages)
|
||||
- [ ] Add scheduler task for periodic git sync
|
||||
|
||||
### Phase 3.7: Viewers (Deferred)
|
||||
*After core implementation is working*
|
||||
- [ ] Create `static/pdf-viewer.html` (PDF.js)
|
||||
- [ ] Create `static/image-viewer.html`
|
||||
- [ ] Create `static/video-player.html` (Video.js)
|
||||
- [ ] Create `src/routers/viewers.py`
|
||||
|
||||
### Phase 3.8: Maintenance & Testing
|
||||
- [ ] Extend cleanup for document orphans
|
||||
- [ ] Add document orphan detection (Paperless deleted but still in Qdrant/Neo4j)
|
||||
- [ ] Create `tests/test_document_sync.py`
|
||||
- [ ] Create `tests/test_paperless_client.py`
|
||||
|
||||
---
|
||||
|
||||
## Files to Create
|
||||
|
||||
| Path | Purpose |
|
||||
|------|---------|
|
||||
| `src/clients/paperless_client.py` | Paperless-ngx REST API client |
|
||||
| `src/clients/clamav_client.py` | ClamAV scanner (pyclamd wrapper) |
|
||||
| `src/clients/gitea_client.py` | Gitea repo access |
|
||||
| `src/models/document.py` | Document/Collection/ScanResult models |
|
||||
| `src/services/document_sync_service.py` | Sync orchestrator |
|
||||
| `src/routers/documents.py` | Document endpoints (webhook, sync, upload, search) |
|
||||
| `tests/test_document_sync.py` | Sync service tests |
|
||||
| `tests/test_paperless_client.py` | API client tests |
|
||||
| `tests/test_clamav_client.py` | Virus scanner tests |
|
||||
| `docker/docker-compose.documents.yml` | Paperless + ClamAV deployment |
|
||||
|
||||
**Deferred files (Phase 3.7):**
|
||||
|
||||
| Path | Purpose |
|
||||
|------|---------|
|
||||
| `src/routers/viewers.py` | Viewer endpoints |
|
||||
| `static/pdf-viewer.html` | PDF.js viewer |
|
||||
| `static/image-viewer.html` | Image lightbox |
|
||||
| `static/video-player.html` | Video.js player |
|
||||
|
||||
## Files to Modify
|
||||
|
||||
| Path | Changes |
|
||||
|------|---------|
|
||||
| `src/config.py` | `PAPERLESS_*`, `CLAMAV_*` settings |
|
||||
| `src/core/dependencies.py` | DocumentSyncService, PaperlessClient, ClamAVClient DI |
|
||||
| `src/main.py` | Register documents router |
|
||||
| `src/services/vector_service.py` | `doc_type: "document"` handling |
|
||||
| `src/services/graph_service.py` | Document node with Paperless ID |
|
||||
| `src/services/hybrid_rag_service.py` | Add `save_to_documents` option + virus scan |
|
||||
| `src/models/hybrid_rag.py` | Add `save_to_documents` config |
|
||||
| `src/routers/maintenance.py` | Document orphan cleanup, ClamAV health check |
|
||||
| `requirements.txt` | Add `pyclamd` |
|
||||
|
||||
## Paperless Custom Fields Setup
|
||||
|
||||
Create these in Paperless UI (Administration → Custom Fields):
|
||||
|
||||
| Field | Type | Purpose |
|
||||
|-------|------|---------|
|
||||
| `source_url` | URL | Original download URL |
|
||||
| `library_indexed` | Boolean | Sync status |
|
||||
| `library_doc_id` | Text | Library Desk reference |
|
||||
| `collection` | Text | Logical grouping |
|
||||
@@ -7,7 +7,7 @@ A three-tier memory architecture for Library Desk with intelligent orchestration
|
||||
| Tier | Storage | Purpose | TTL |
|
||||
|------|---------|---------|-----|
|
||||
| **Volatile** | Qdrant (vectors) | Weather, news, financial, ephemeral context | 5min - 2hr |
|
||||
| **Documents** | TBD (research) | Git mirrors, PDFs, video, images | Permanent |
|
||||
| **Documents** | Paperless-ngx + ClamAV (host) | Git mirrors, PDFs, video, images | Permanent |
|
||||
| **Knowledge** | Wiki + Neo4j | Personal dossiers, research, summaries | Permanent |
|
||||
|
||||
**Implementation Priority**: Cleanup → Volatile → Documents → Test Data Cleanup
|
||||
@@ -18,7 +18,7 @@ A three-tier memory architecture for Library Desk with intelligent orchestration
|
||||
|-------|--------|---------|
|
||||
| Phase 1: Cleanup System | ✅ Complete | v1.4.0 |
|
||||
| Phase 2: Volatile Memory | ✅ Complete | v1.4.3 |
|
||||
| Phase 3: Document Storage | ⏳ Pending | - |
|
||||
| Phase 3: Document Storage | ✅ Planned | See [DOCUMENT_STORAGE_PLAN.md](DOCUMENT_STORAGE_PLAN.md) |
|
||||
| Phase 4: Test Data Cleanup | ✅ Complete | v1.4.4 |
|
||||
|
||||
---
|
||||
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "library-desk"
|
||||
version = "1.4.4"
|
||||
version = "1.4.8"
|
||||
description = "Coordination service for The Library system - HybridRAG queries, document ingestion, entity extraction, and knowledge consolidation"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.12"
|
||||
|
||||
@@ -0,0 +1,488 @@
|
||||
"""
|
||||
Paperless-ngx API client for Library Desk.
|
||||
|
||||
Provides async document management via Paperless-ngx:
|
||||
- Document upload and retrieval
|
||||
- Search and filtering
|
||||
- Custom field management
|
||||
- Task status tracking
|
||||
"""
|
||||
|
||||
import httpx
|
||||
from typing import Optional, List, Dict, Any
|
||||
from dataclasses import dataclass
|
||||
import logging
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@dataclass
|
||||
class PaperlessDocument:
|
||||
"""Represents a document from Paperless-ngx."""
|
||||
id: int
|
||||
title: str
|
||||
content: str
|
||||
created: Optional[str] = None
|
||||
modified: Optional[str] = None
|
||||
added: Optional[str] = None
|
||||
correspondent: Optional[int] = None
|
||||
document_type: Optional[int] = None
|
||||
storage_path: Optional[int] = None
|
||||
tags: List[int] = None
|
||||
archive_serial_number: Optional[int] = None
|
||||
original_file_name: Optional[str] = None
|
||||
archived_file_name: Optional[str] = None
|
||||
custom_fields: List[Dict[str, Any]] = None
|
||||
|
||||
def __post_init__(self):
|
||||
if self.tags is None:
|
||||
self.tags = []
|
||||
if self.custom_fields is None:
|
||||
self.custom_fields = []
|
||||
|
||||
|
||||
@dataclass
|
||||
class SearchHit:
|
||||
"""Search result with relevance info."""
|
||||
document: PaperlessDocument
|
||||
score: float
|
||||
rank: int
|
||||
highlights: Optional[str] = None
|
||||
|
||||
|
||||
class PaperlessClient:
|
||||
"""
|
||||
Paperless-ngx REST API client.
|
||||
|
||||
Documentation: https://docs.paperless-ngx.com/api/
|
||||
"""
|
||||
|
||||
def __init__(self, base_url: str, token: str, timeout: int = 30):
|
||||
"""
|
||||
Initialize Paperless-ngx client.
|
||||
|
||||
Args:
|
||||
base_url: Paperless-ngx base URL (e.g., "http://paperless:8000")
|
||||
token: API token for authentication
|
||||
timeout: Request timeout in seconds
|
||||
"""
|
||||
self.base_url = base_url.rstrip("/")
|
||||
self.api_url = f"{self.base_url}/api"
|
||||
self.headers = {
|
||||
"Authorization": f"Token {token}",
|
||||
"Accept": "application/json",
|
||||
}
|
||||
self.client = httpx.AsyncClient(timeout=float(timeout), headers=self.headers)
|
||||
logger.info(f"Initialized Paperless client: {base_url}")
|
||||
|
||||
async def close(self):
|
||||
"""Close HTTP client."""
|
||||
await self.client.aclose()
|
||||
|
||||
# =========================================================================
|
||||
# Document Operations
|
||||
# =========================================================================
|
||||
|
||||
async def get_document(self, document_id: int) -> Optional[PaperlessDocument]:
|
||||
"""
|
||||
Get a document by ID.
|
||||
|
||||
Args:
|
||||
document_id: Paperless document ID
|
||||
|
||||
Returns:
|
||||
PaperlessDocument or None if not found
|
||||
"""
|
||||
try:
|
||||
response = await self.client.get(f"{self.api_url}/documents/{document_id}/")
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
return self._parse_document(data)
|
||||
except httpx.HTTPStatusError as e:
|
||||
if e.response.status_code == 404:
|
||||
return None
|
||||
logger.error(f"Failed to get document {document_id}: {e}")
|
||||
raise
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to get document {document_id}: {e}")
|
||||
raise
|
||||
|
||||
async def get_document_content(self, document_id: int) -> Optional[str]:
|
||||
"""
|
||||
Get extracted text content of a document.
|
||||
|
||||
Args:
|
||||
document_id: Paperless document ID
|
||||
|
||||
Returns:
|
||||
Text content or None if not found
|
||||
"""
|
||||
doc = await self.get_document(document_id)
|
||||
return doc.content if doc else None
|
||||
|
||||
async def list_documents(
|
||||
self,
|
||||
page: int = 1,
|
||||
page_size: int = 25,
|
||||
ordering: str = "-added",
|
||||
correspondent: Optional[int] = None,
|
||||
document_type: Optional[int] = None,
|
||||
tags: Optional[List[int]] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
List documents with pagination and filtering.
|
||||
|
||||
Args:
|
||||
page: Page number (starts at 1)
|
||||
page_size: Results per page
|
||||
ordering: Sort order (prefix with - for descending)
|
||||
correspondent: Filter by correspondent ID
|
||||
document_type: Filter by document type ID
|
||||
tags: Filter by tag IDs
|
||||
|
||||
Returns:
|
||||
Paginated response with count, next, previous, results
|
||||
"""
|
||||
params = {
|
||||
"page": page,
|
||||
"page_size": page_size,
|
||||
"ordering": ordering,
|
||||
}
|
||||
if correspondent:
|
||||
params["correspondent__id"] = correspondent
|
||||
if document_type:
|
||||
params["document_type__id"] = document_type
|
||||
if tags:
|
||||
params["tags__id__in"] = ",".join(str(t) for t in tags)
|
||||
|
||||
try:
|
||||
response = await self.client.get(f"{self.api_url}/documents/", params=params)
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
return {
|
||||
"count": data.get("count", 0),
|
||||
"next": data.get("next"),
|
||||
"previous": data.get("previous"),
|
||||
"results": [self._parse_document(d) for d in data.get("results", [])],
|
||||
}
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to list documents: {e}")
|
||||
raise
|
||||
|
||||
async def search_documents(
|
||||
self,
|
||||
query: str,
|
||||
page: int = 1,
|
||||
page_size: int = 25,
|
||||
) -> List[SearchHit]:
|
||||
"""
|
||||
Full-text search documents.
|
||||
|
||||
Args:
|
||||
query: Search query string
|
||||
page: Page number
|
||||
page_size: Results per page
|
||||
|
||||
Returns:
|
||||
List of SearchHit with document and relevance info
|
||||
"""
|
||||
params = {
|
||||
"query": query,
|
||||
"page": page,
|
||||
"page_size": page_size,
|
||||
}
|
||||
|
||||
try:
|
||||
response = await self.client.get(f"{self.api_url}/documents/", params=params)
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
|
||||
results = []
|
||||
for item in data.get("results", []):
|
||||
doc = self._parse_document(item)
|
||||
hit_info = item.get("__search_hit__", {})
|
||||
results.append(SearchHit(
|
||||
document=doc,
|
||||
score=hit_info.get("score", 0.0),
|
||||
rank=hit_info.get("rank", 0),
|
||||
highlights=hit_info.get("highlights"),
|
||||
))
|
||||
return results
|
||||
except Exception as e:
|
||||
logger.error(f"Search failed for '{query}': {e}")
|
||||
raise
|
||||
|
||||
async def upload_document(
|
||||
self,
|
||||
file_content: bytes,
|
||||
filename: str,
|
||||
title: Optional[str] = None,
|
||||
correspondent: Optional[int] = None,
|
||||
document_type: Optional[int] = None,
|
||||
tags: Optional[List[int]] = None,
|
||||
custom_fields: Optional[List[Dict[str, Any]]] = None,
|
||||
) -> str:
|
||||
"""
|
||||
Upload a document to Paperless-ngx.
|
||||
|
||||
Args:
|
||||
file_content: File bytes
|
||||
filename: Original filename
|
||||
title: Document title (optional, derived from filename if not set)
|
||||
correspondent: Correspondent ID
|
||||
document_type: Document type ID
|
||||
tags: List of tag IDs
|
||||
custom_fields: List of custom field values
|
||||
|
||||
Returns:
|
||||
Task UUID for tracking consumption status
|
||||
"""
|
||||
files = {"document": (filename, file_content)}
|
||||
data = {}
|
||||
|
||||
if title:
|
||||
data["title"] = title
|
||||
if correspondent:
|
||||
data["correspondent"] = correspondent
|
||||
if document_type:
|
||||
data["document_type"] = document_type
|
||||
if tags:
|
||||
# Tags need to be sent multiple times for multiple values
|
||||
data["tags"] = tags
|
||||
if custom_fields:
|
||||
data["custom_fields"] = custom_fields
|
||||
|
||||
try:
|
||||
response = await self.client.post(
|
||||
f"{self.api_url}/documents/post_document/",
|
||||
files=files,
|
||||
data=data,
|
||||
)
|
||||
response.raise_for_status()
|
||||
result = response.json()
|
||||
task_id = result.get("task_id", "")
|
||||
logger.info(f"Uploaded document '{filename}', task_id: {task_id}")
|
||||
return task_id
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to upload document '{filename}': {e}")
|
||||
raise
|
||||
|
||||
async def get_task_status(self, task_id: str) -> Dict[str, Any]:
|
||||
"""
|
||||
Get status of a consumption task.
|
||||
|
||||
Args:
|
||||
task_id: Task UUID from upload
|
||||
|
||||
Returns:
|
||||
Task status with state, result, etc.
|
||||
"""
|
||||
try:
|
||||
response = await self.client.get(
|
||||
f"{self.api_url}/tasks/",
|
||||
params={"task_id": task_id},
|
||||
)
|
||||
response.raise_for_status()
|
||||
data = response.json()
|
||||
results = data.get("results", [])
|
||||
if results:
|
||||
return results[0]
|
||||
return {"status": "NOT_FOUND"}
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to get task status {task_id}: {e}")
|
||||
raise
|
||||
|
||||
async def update_document(
|
||||
self,
|
||||
document_id: int,
|
||||
title: Optional[str] = None,
|
||||
correspondent: Optional[int] = None,
|
||||
document_type: Optional[int] = None,
|
||||
tags: Optional[List[int]] = None,
|
||||
custom_fields: Optional[List[Dict[str, Any]]] = None,
|
||||
) -> PaperlessDocument:
|
||||
"""
|
||||
Update a document's metadata.
|
||||
|
||||
Args:
|
||||
document_id: Document ID to update
|
||||
title: New title
|
||||
correspondent: New correspondent ID
|
||||
document_type: New document type ID
|
||||
tags: New tag IDs (replaces existing)
|
||||
custom_fields: New custom field values
|
||||
|
||||
Returns:
|
||||
Updated document
|
||||
"""
|
||||
data = {}
|
||||
if title is not None:
|
||||
data["title"] = title
|
||||
if correspondent is not None:
|
||||
data["correspondent"] = correspondent
|
||||
if document_type is not None:
|
||||
data["document_type"] = document_type
|
||||
if tags is not None:
|
||||
data["tags"] = tags
|
||||
if custom_fields is not None:
|
||||
data["custom_fields"] = custom_fields
|
||||
|
||||
try:
|
||||
response = await self.client.patch(
|
||||
f"{self.api_url}/documents/{document_id}/",
|
||||
json=data,
|
||||
)
|
||||
response.raise_for_status()
|
||||
return self._parse_document(response.json())
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to update document {document_id}: {e}")
|
||||
raise
|
||||
|
||||
# =========================================================================
|
||||
# Custom Fields
|
||||
# =========================================================================
|
||||
|
||||
async def list_custom_fields(self) -> List[Dict[str, Any]]:
|
||||
"""
|
||||
List all custom fields.
|
||||
|
||||
Returns:
|
||||
List of custom field definitions
|
||||
"""
|
||||
try:
|
||||
response = await self.client.get(f"{self.api_url}/custom_fields/")
|
||||
response.raise_for_status()
|
||||
return response.json().get("results", [])
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to list custom fields: {e}")
|
||||
raise
|
||||
|
||||
async def get_custom_field_by_name(self, name: str) -> Optional[Dict[str, Any]]:
|
||||
"""
|
||||
Get a custom field by name.
|
||||
|
||||
Args:
|
||||
name: Custom field name
|
||||
|
||||
Returns:
|
||||
Custom field definition or None
|
||||
"""
|
||||
fields = await self.list_custom_fields()
|
||||
for field in fields:
|
||||
if field.get("name") == name:
|
||||
return field
|
||||
return None
|
||||
|
||||
# =========================================================================
|
||||
# Tags, Correspondents, Document Types
|
||||
# =========================================================================
|
||||
|
||||
async def list_tags(self) -> List[Dict[str, Any]]:
|
||||
"""List all tags."""
|
||||
try:
|
||||
response = await self.client.get(f"{self.api_url}/tags/")
|
||||
response.raise_for_status()
|
||||
return response.json().get("results", [])
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to list tags: {e}")
|
||||
raise
|
||||
|
||||
async def list_correspondents(self) -> List[Dict[str, Any]]:
|
||||
"""List all correspondents."""
|
||||
try:
|
||||
response = await self.client.get(f"{self.api_url}/correspondents/")
|
||||
response.raise_for_status()
|
||||
return response.json().get("results", [])
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to list correspondents: {e}")
|
||||
raise
|
||||
|
||||
async def list_document_types(self) -> List[Dict[str, Any]]:
|
||||
"""List all document types."""
|
||||
try:
|
||||
response = await self.client.get(f"{self.api_url}/document_types/")
|
||||
response.raise_for_status()
|
||||
return response.json().get("results", [])
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to list document types: {e}")
|
||||
raise
|
||||
|
||||
# =========================================================================
|
||||
# Bulk Operations
|
||||
# =========================================================================
|
||||
|
||||
async def bulk_edit(
|
||||
self,
|
||||
document_ids: List[int],
|
||||
method: str,
|
||||
parameters: Optional[Dict[str, Any]] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
Bulk edit documents.
|
||||
|
||||
Args:
|
||||
document_ids: List of document IDs
|
||||
method: Operation (add_tag, remove_tag, set_correspondent, etc.)
|
||||
parameters: Operation parameters
|
||||
|
||||
Returns:
|
||||
Operation result
|
||||
"""
|
||||
data = {
|
||||
"documents": document_ids,
|
||||
"method": method,
|
||||
}
|
||||
if parameters:
|
||||
data["parameters"] = parameters
|
||||
|
||||
try:
|
||||
response = await self.client.post(
|
||||
f"{self.api_url}/documents/bulk_edit/",
|
||||
json=data,
|
||||
)
|
||||
response.raise_for_status()
|
||||
return response.json()
|
||||
except Exception as e:
|
||||
logger.error(f"Bulk edit failed: {e}")
|
||||
raise
|
||||
|
||||
# =========================================================================
|
||||
# Health Check
|
||||
# =========================================================================
|
||||
|
||||
async def health_check(self) -> bool:
|
||||
"""
|
||||
Check if Paperless-ngx is responding.
|
||||
|
||||
Returns:
|
||||
True if service is healthy
|
||||
"""
|
||||
try:
|
||||
response = await self.client.get(f"{self.api_url}/", timeout=5.0)
|
||||
return response.status_code < 400
|
||||
except Exception as e:
|
||||
logger.error(f"Paperless health check failed: {e}")
|
||||
return False
|
||||
|
||||
# =========================================================================
|
||||
# Helpers
|
||||
# =========================================================================
|
||||
|
||||
def _parse_document(self, data: Dict[str, Any]) -> PaperlessDocument:
|
||||
"""Parse API response into PaperlessDocument."""
|
||||
return PaperlessDocument(
|
||||
id=data.get("id", 0),
|
||||
title=data.get("title", ""),
|
||||
content=data.get("content", ""),
|
||||
created=data.get("created"),
|
||||
modified=data.get("modified"),
|
||||
added=data.get("added"),
|
||||
correspondent=data.get("correspondent"),
|
||||
document_type=data.get("document_type"),
|
||||
storage_path=data.get("storage_path"),
|
||||
tags=data.get("tags", []),
|
||||
archive_serial_number=data.get("archive_serial_number"),
|
||||
original_file_name=data.get("original_file_name"),
|
||||
archived_file_name=data.get("archived_file_name"),
|
||||
custom_fields=data.get("custom_fields", []),
|
||||
)
|
||||
@@ -101,6 +101,11 @@ class Settings(BaseSettings):
|
||||
content_extraction_timeout: int = Field(default=5, ge=1, le=30, description="Trafilatura per-URL timeout in seconds")
|
||||
content_max_length: int = Field(default=2000, ge=500, le=10000, description="Max extracted content length per result")
|
||||
|
||||
# Paperless-ngx Configuration
|
||||
paperless_url: str = Field(default="http://paperless:8000", description="Paperless-ngx URL")
|
||||
paperless_token: str = Field(default="", description="Paperless-ngx API token")
|
||||
paperless_timeout: int = Field(default=30, ge=5, le=120, description="Paperless API timeout in seconds")
|
||||
|
||||
# Document Store Configuration
|
||||
document_store_enabled: bool = Field(default=True, description="Enable document store feature")
|
||||
document_catalog_path_prefix: str = Field(default="docs", description="Wiki path prefix for catalog pages")
|
||||
|
||||
@@ -22,6 +22,7 @@ from src.clients.wikijs_client import WikiJSClient
|
||||
from src.clients.searxng_client import SearXNGClient
|
||||
from src.clients.ollama_client import OllamaClient
|
||||
from src.clients.content_extractor import ContentExtractor
|
||||
from src.clients.paperless_client import PaperlessClient
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -155,6 +156,28 @@ def get_content_extractor() -> ContentExtractor:
|
||||
return extractor
|
||||
|
||||
|
||||
@lru_cache
|
||||
def get_paperless_client() -> PaperlessClient:
|
||||
"""
|
||||
Get Paperless-ngx client singleton.
|
||||
|
||||
Returns:
|
||||
Initialized Paperless-ngx REST API client
|
||||
|
||||
Note: Returns None-like client if paperless_token is not configured
|
||||
"""
|
||||
settings = get_settings()
|
||||
if not settings.paperless_token:
|
||||
logger.warning("Paperless token not configured - document storage disabled")
|
||||
client = PaperlessClient(
|
||||
base_url=settings.paperless_url,
|
||||
token=settings.paperless_token,
|
||||
timeout=settings.paperless_timeout
|
||||
)
|
||||
logger.debug(f"Created Paperless client: {settings.paperless_url}")
|
||||
return client
|
||||
|
||||
|
||||
# Type aliases for FastAPI endpoint dependencies
|
||||
# Usage: def my_endpoint(neo4j: Neo4jDep):
|
||||
Neo4jDep = Annotated[Neo4jClient, Depends(get_neo4j_client)]
|
||||
@@ -164,6 +187,7 @@ SearXNGDep = Annotated[SearXNGClient, Depends(get_searxng_client)]
|
||||
OllamaDep = Annotated[OllamaClient, Depends(get_ollama_client)]
|
||||
RedisDep = Annotated[aioredis.Redis, Depends(get_redis_client)]
|
||||
ContentExtractorDep = Annotated[ContentExtractor, Depends(get_content_extractor)]
|
||||
PaperlessDep = Annotated[PaperlessClient, Depends(get_paperless_client)]
|
||||
|
||||
|
||||
# Lifecycle management functions
|
||||
@@ -202,6 +226,21 @@ async def startup_clients():
|
||||
logger.error(f"✗ Ollama health check failed: {e}")
|
||||
pass
|
||||
|
||||
# Check Paperless availability
|
||||
settings = get_settings()
|
||||
if settings.paperless_token:
|
||||
try:
|
||||
paperless = get_paperless_client()
|
||||
is_healthy = await paperless.health_check()
|
||||
if is_healthy:
|
||||
logger.info(f"✓ Paperless-ngx ready: {settings.paperless_url}")
|
||||
else:
|
||||
logger.warning("✗ Paperless-ngx not responding")
|
||||
except Exception as e:
|
||||
logger.error(f"✗ Paperless health check failed: {e}")
|
||||
else:
|
||||
logger.info("○ Paperless-ngx not configured (document storage disabled)")
|
||||
|
||||
# Qdrant, Wiki.js, SearXNG are lazy-initialized
|
||||
logger.info("Service clients startup complete")
|
||||
|
||||
@@ -230,7 +269,8 @@ async def shutdown_clients():
|
||||
clients_to_close = [
|
||||
("Wiki.js", get_wikijs_client()),
|
||||
("SearXNG", get_searxng_client()),
|
||||
("Ollama", get_ollama_client())
|
||||
("Ollama", get_ollama_client()),
|
||||
("Paperless", get_paperless_client()),
|
||||
]
|
||||
|
||||
for name, client in clients_to_close:
|
||||
@@ -312,6 +352,18 @@ async def check_service_health() -> dict:
|
||||
logger.error(f"Ollama health check failed: {e}")
|
||||
health["ollama"] = False
|
||||
|
||||
# Paperless-ngx
|
||||
settings = get_settings()
|
||||
if settings.paperless_token:
|
||||
try:
|
||||
paperless = get_paperless_client()
|
||||
health["paperless"] = await paperless.health_check()
|
||||
except Exception as e:
|
||||
logger.error(f"Paperless health check failed: {e}")
|
||||
health["paperless"] = False
|
||||
else:
|
||||
health["paperless"] = None # Not configured
|
||||
|
||||
return health
|
||||
|
||||
|
||||
|
||||
+2
-1
@@ -51,7 +51,7 @@ app.add_middleware(
|
||||
from src.routers import (
|
||||
wiki, tools, graph, vector, hybrid_rag, consolidation,
|
||||
ingestion, entity_linking, webhooks, rag_search, content,
|
||||
maintenance, volatile
|
||||
maintenance, volatile, documents
|
||||
)
|
||||
|
||||
app.include_router(wiki.router)
|
||||
@@ -67,6 +67,7 @@ app.include_router(rag_search.router)
|
||||
app.include_router(content.router)
|
||||
app.include_router(maintenance.router)
|
||||
app.include_router(volatile.router)
|
||||
app.include_router(documents.router)
|
||||
|
||||
# Mount static files directory for Wiki.js integration scripts
|
||||
static_dir = Path(__file__).parent.parent / "static"
|
||||
|
||||
@@ -0,0 +1,207 @@
|
||||
"""
|
||||
Document storage models for Library Desk.
|
||||
|
||||
Models for Paperless-ngx document management, virus scanning,
|
||||
and document sync operations.
|
||||
"""
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
from typing import Dict, Any, Optional, List
|
||||
from datetime import datetime
|
||||
from enum import Enum
|
||||
|
||||
|
||||
class DocumentType(str, Enum):
|
||||
"""Types of documents supported in the document store."""
|
||||
PDF = "pdf"
|
||||
IMAGE = "image"
|
||||
VIDEO = "video"
|
||||
TEXT = "text"
|
||||
ARCHIVE = "archive"
|
||||
OTHER = "other"
|
||||
|
||||
|
||||
class SyncStatus(str, Enum):
|
||||
"""Status of document sync with Library Desk."""
|
||||
PENDING = "pending"
|
||||
INDEXED = "indexed"
|
||||
FAILED = "failed"
|
||||
SKIPPED = "skipped"
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Document Models
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class DocumentMetadata(BaseModel):
|
||||
"""Metadata for a document in Paperless-ngx."""
|
||||
paperless_id: int = Field(..., description="Paperless-ngx document ID")
|
||||
title: str = Field(..., description="Document title")
|
||||
filename: Optional[str] = Field(None, description="Original filename")
|
||||
content: Optional[str] = Field(None, description="Extracted text content")
|
||||
created: Optional[datetime] = Field(None, description="Document creation date")
|
||||
modified: Optional[datetime] = Field(None, description="Last modification date")
|
||||
added: Optional[datetime] = Field(None, description="Date added to Paperless")
|
||||
correspondent: Optional[str] = Field(None, description="Correspondent name")
|
||||
document_type: Optional[str] = Field(None, description="Document type name")
|
||||
tags: List[str] = Field(default_factory=list, description="Tag names")
|
||||
custom_fields: Dict[str, Any] = Field(default_factory=dict, description="Custom field values")
|
||||
|
||||
|
||||
class DocumentRecord(BaseModel):
|
||||
"""A document record with sync status."""
|
||||
metadata: DocumentMetadata = Field(..., description="Document metadata from Paperless")
|
||||
sync_status: SyncStatus = Field(default=SyncStatus.PENDING, description="Library Desk sync status")
|
||||
indexed_at: Optional[datetime] = Field(None, description="When indexed in Library Desk")
|
||||
collection: Optional[str] = Field(None, description="Collection name (e.g., 'fastapi-docs')")
|
||||
source_url: Optional[str] = Field(None, description="Original source URL if uploaded via HybridRAG")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Upload Request/Response Models
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class DocumentUploadRequest(BaseModel):
|
||||
"""Request to upload a document to Paperless-ngx."""
|
||||
url: Optional[str] = Field(None, description="URL to download document from")
|
||||
title: Optional[str] = Field(None, description="Document title (derived from filename if not set)")
|
||||
collection: Optional[str] = Field(None, description="Collection to add document to")
|
||||
tags: List[str] = Field(default_factory=list, description="Tags to apply")
|
||||
correspondent: Optional[str] = Field(None, description="Correspondent name")
|
||||
document_type: Optional[str] = Field(None, description="Document type name")
|
||||
|
||||
|
||||
class DocumentUploadResponse(BaseModel):
|
||||
"""Response from document upload."""
|
||||
task_id: str = Field(..., description="Paperless task ID for tracking")
|
||||
filename: str = Field(..., description="Uploaded filename")
|
||||
message: str = Field(..., description="Status message")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Webhook Models
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class PaperlessWebhookPayload(BaseModel):
|
||||
"""
|
||||
Payload from Paperless-ngx webhook.
|
||||
|
||||
Supports Jinja template format:
|
||||
- doc_url: Contains document ID in URL path (e.g., http://paperless:8000/documents/123/)
|
||||
- title: Document title from {{ doc_title }}
|
||||
"""
|
||||
doc_url: str = Field(..., description="Paperless document URL containing ID")
|
||||
title: Optional[str] = Field(None, description="Document title")
|
||||
|
||||
class Config:
|
||||
extra = "ignore" # Ignore extra fields
|
||||
|
||||
@property
|
||||
def document_id(self) -> int:
|
||||
"""Extract document ID from doc_url."""
|
||||
import re
|
||||
match = re.search(r'/documents/(\d+)/?', self.doc_url)
|
||||
if match:
|
||||
return int(match.group(1))
|
||||
raise ValueError(f"Cannot extract document ID from URL: {self.doc_url}")
|
||||
|
||||
|
||||
class WebhookResponse(BaseModel):
|
||||
"""Response to webhook processing."""
|
||||
document_id: int = Field(..., description="Processed document ID")
|
||||
status: str = Field(..., description="Processing status")
|
||||
indexed: bool = Field(..., description="Whether document was indexed")
|
||||
message: Optional[str] = Field(None, description="Additional details")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Sync Models
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class SyncRequest(BaseModel):
|
||||
"""Request to sync documents from Paperless-ngx."""
|
||||
since: Optional[datetime] = Field(None, description="Only sync documents modified after this time")
|
||||
collection: Optional[str] = Field(None, description="Only sync documents in this collection")
|
||||
limit: int = Field(default=100, ge=1, le=1000, description="Maximum documents to sync")
|
||||
force_reindex: bool = Field(default=False, description="Re-index already indexed documents")
|
||||
|
||||
|
||||
class SyncResult(BaseModel):
|
||||
"""Result of a sync operation."""
|
||||
documents_found: int = Field(..., description="Total documents matching criteria")
|
||||
documents_indexed: int = Field(..., description="Successfully indexed")
|
||||
documents_skipped: int = Field(..., description="Skipped (already indexed)")
|
||||
documents_failed: int = Field(..., description="Failed to index")
|
||||
errors: List[str] = Field(default_factory=list, description="Error messages")
|
||||
duration_seconds: float = Field(..., description="Sync duration")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Collection Models
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class Collection(BaseModel):
|
||||
"""A logical grouping of documents."""
|
||||
name: str = Field(..., description="Collection name (e.g., 'fastapi-docs')")
|
||||
description: Optional[str] = Field(None, description="Collection description")
|
||||
document_count: int = Field(default=0, description="Number of documents")
|
||||
source: Optional[str] = Field(None, description="Source (e.g., 'github.com/tiangolo/fastapi')")
|
||||
last_sync: Optional[datetime] = Field(None, description="Last sync timestamp")
|
||||
wiki_page: Optional[str] = Field(None, description="Wiki catalog page path")
|
||||
|
||||
|
||||
class CollectionListResponse(BaseModel):
|
||||
"""Response listing all collections."""
|
||||
collections: List[Collection] = Field(..., description="List of collections")
|
||||
total_documents: int = Field(..., description="Total documents across all collections")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Search Models
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class DocumentSearchRequest(BaseModel):
|
||||
"""Request to search documents."""
|
||||
query: str = Field(..., min_length=1, description="Search query")
|
||||
collection: Optional[str] = Field(None, description="Limit to collection")
|
||||
document_type: Optional[DocumentType] = Field(None, description="Filter by type")
|
||||
limit: int = Field(default=10, ge=1, le=50, description="Maximum results")
|
||||
include_content: bool = Field(default=False, description="Include full text content")
|
||||
|
||||
|
||||
class DocumentSearchHit(BaseModel):
|
||||
"""A document search result."""
|
||||
paperless_id: int = Field(..., description="Paperless document ID")
|
||||
title: str = Field(..., description="Document title")
|
||||
score: float = Field(..., description="Relevance score")
|
||||
highlights: Optional[str] = Field(None, description="Highlighted matching text")
|
||||
collection: Optional[str] = Field(None, description="Collection name")
|
||||
document_type: Optional[str] = Field(None, description="Document type")
|
||||
content_preview: Optional[str] = Field(None, description="Content preview if requested")
|
||||
|
||||
|
||||
class DocumentSearchResponse(BaseModel):
|
||||
"""Response from document search."""
|
||||
query: str = Field(..., description="Original query")
|
||||
hits: List[DocumentSearchHit] = Field(..., description="Search results")
|
||||
total: int = Field(..., description="Total matching documents")
|
||||
duration_ms: int = Field(..., description="Search duration in milliseconds")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Health Check Models
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class DocumentStoreHealth(BaseModel):
|
||||
"""Health status of document storage components."""
|
||||
paperless_healthy: bool = Field(..., description="Paperless-ngx responding")
|
||||
paperless_version: Optional[str] = Field(None, description="Paperless version")
|
||||
total_documents: Optional[int] = Field(None, description="Total documents in Paperless")
|
||||
indexed_documents: Optional[int] = Field(None, description="Documents indexed in Library Desk")
|
||||
@@ -0,0 +1,424 @@
|
||||
"""
|
||||
Document storage router for Library Desk API.
|
||||
|
||||
Event-driven integration with Paperless-ngx:
|
||||
- Webhook receiver triggers indexing after Paperless virus scan passes
|
||||
- Upload endpoint sends files to Paperless for processing
|
||||
- Search across indexed documents
|
||||
"""
|
||||
|
||||
from fastapi import APIRouter, HTTPException, Depends, Query, UploadFile, File, Request
|
||||
from typing import Optional
|
||||
import logging
|
||||
import time
|
||||
|
||||
from src.models.document import (
|
||||
PaperlessWebhookPayload,
|
||||
WebhookResponse,
|
||||
DocumentUploadRequest,
|
||||
DocumentUploadResponse,
|
||||
DocumentSearchRequest,
|
||||
DocumentSearchResponse,
|
||||
DocumentStoreHealth,
|
||||
)
|
||||
from src.core.dependencies import (
|
||||
verify_api_key,
|
||||
PaperlessDep,
|
||||
QdrantDep,
|
||||
OllamaDep,
|
||||
Neo4jDep,
|
||||
WikiJSDep,
|
||||
)
|
||||
from src.core.multi_tenancy import DEFAULT_USER
|
||||
from src.config import get_settings
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
router = APIRouter(prefix="/documents", tags=["Documents"])
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Webhook Endpoint (primary integration - event-driven)
|
||||
# =============================================================================
|
||||
|
||||
|
||||
@router.post("/webhook", response_model=WebhookResponse)
|
||||
async def receive_webhook(
|
||||
payload: PaperlessWebhookPayload,
|
||||
paperless: PaperlessDep,
|
||||
qdrant: QdrantDep,
|
||||
ollama: OllamaDep,
|
||||
neo4j: Neo4jDep,
|
||||
wiki: WikiJSDep,
|
||||
user: str = Query(default=DEFAULT_USER, description="User identifier"),
|
||||
):
|
||||
"""
|
||||
Receive webhook events from Paperless-ngx.
|
||||
|
||||
This is the primary integration point. Configure Paperless workflow:
|
||||
1. Trigger: Document Added (after consumption completes)
|
||||
2. Condition: Document passed virus scan (ClamAV in Paperless)
|
||||
3. Action: Webhook POST to this endpoint
|
||||
|
||||
Library Desk indexes the document into vectors and graph.
|
||||
"""
|
||||
from src.services.document_sync_service import DocumentSyncService
|
||||
|
||||
doc_id = payload.document_id
|
||||
logger.info(f"Webhook received: document_id={doc_id}, title={payload.title}")
|
||||
|
||||
settings = get_settings()
|
||||
if not settings.document_store_enabled:
|
||||
return WebhookResponse(
|
||||
document_id=doc_id,
|
||||
status="skipped",
|
||||
indexed=False,
|
||||
message="Document store is disabled"
|
||||
)
|
||||
|
||||
try:
|
||||
sync_service = DocumentSyncService(
|
||||
paperless_client=paperless,
|
||||
qdrant_client=qdrant,
|
||||
ollama_client=ollama,
|
||||
neo4j_client=neo4j,
|
||||
wiki_client=wiki,
|
||||
settings=settings
|
||||
)
|
||||
|
||||
# Fetch content from Paperless (template only provides doc_url and title)
|
||||
result = await sync_service.index_document(
|
||||
document_id=doc_id,
|
||||
user=user,
|
||||
)
|
||||
|
||||
return WebhookResponse(
|
||||
document_id=doc_id,
|
||||
status="indexed" if result.success else "failed",
|
||||
indexed=result.success,
|
||||
message=result.error if not result.success else f"Indexed: {result.title}"
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Webhook processing failed for document {doc_id}: {e}", exc_info=True)
|
||||
return WebhookResponse(
|
||||
document_id=doc_id,
|
||||
status="error",
|
||||
indexed=False,
|
||||
message=str(e)
|
||||
)
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Debug Capture Endpoint
|
||||
# =============================================================================
|
||||
|
||||
|
||||
@router.post("/webhook-capture")
|
||||
async def capture_webhook(request: Request):
|
||||
"""Capture raw webhook payload for debugging."""
|
||||
import json
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
|
||||
# Get raw body
|
||||
body = await request.body()
|
||||
headers = dict(request.headers)
|
||||
query_params = dict(request.query_params)
|
||||
|
||||
# Build capture data
|
||||
capture = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"method": request.method,
|
||||
"url": str(request.url),
|
||||
"query_params": query_params,
|
||||
"headers": headers,
|
||||
"content_type": headers.get("content-type", "unknown"),
|
||||
"body_raw": body.decode("utf-8", errors="replace"),
|
||||
}
|
||||
|
||||
# Try to parse as JSON
|
||||
try:
|
||||
capture["body_json"] = json.loads(body)
|
||||
except:
|
||||
capture["body_json"] = None
|
||||
|
||||
# Write to file
|
||||
capture_file = Path("logs/webhook_capture.json")
|
||||
capture_file.parent.mkdir(exist_ok=True)
|
||||
with open(capture_file, "w") as f:
|
||||
json.dump(capture, f, indent=2, default=str)
|
||||
|
||||
logger.info(f"Captured webhook: {capture['body_raw'][:200]}")
|
||||
|
||||
return {"status": "captured", "file": str(capture_file)}
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Simple Webhook (URL parameters only)
|
||||
# =============================================================================
|
||||
|
||||
|
||||
@router.post("/webhook-simple", response_model=WebhookResponse)
|
||||
async def receive_webhook_simple(
|
||||
doc_url: str = Query(..., description="Paperless document URL containing ID"),
|
||||
title: str = Query(default="", description="Document title"),
|
||||
user: str = Query(default=DEFAULT_USER, description="User identifier"),
|
||||
paperless: PaperlessDep = None,
|
||||
qdrant: QdrantDep = None,
|
||||
ollama: OllamaDep = None,
|
||||
neo4j: Neo4jDep = None,
|
||||
wiki: WikiJSDep = None,
|
||||
):
|
||||
"""
|
||||
Simple webhook endpoint accepting URL parameters.
|
||||
|
||||
Used when Paperless Jinja templates don't work with JSON body.
|
||||
URL format: /webhook-simple?doc_url=http://...&title=...&user=...
|
||||
"""
|
||||
from src.services.document_sync_service import DocumentSyncService
|
||||
import re
|
||||
|
||||
# Extract document ID from URL
|
||||
match = re.search(r'/documents/(\d+)/?', doc_url)
|
||||
if not match:
|
||||
return WebhookResponse(
|
||||
document_id=0,
|
||||
status="error",
|
||||
indexed=False,
|
||||
message=f"Cannot extract document ID from URL: {doc_url}"
|
||||
)
|
||||
doc_id = int(match.group(1))
|
||||
|
||||
logger.info(f"Webhook-simple received: document_id={doc_id}, title={title}")
|
||||
|
||||
settings = get_settings()
|
||||
if not settings.document_store_enabled:
|
||||
return WebhookResponse(
|
||||
document_id=doc_id,
|
||||
status="skipped",
|
||||
indexed=False,
|
||||
message="Document store is disabled"
|
||||
)
|
||||
|
||||
try:
|
||||
sync_service = DocumentSyncService(
|
||||
paperless_client=paperless,
|
||||
qdrant_client=qdrant,
|
||||
ollama_client=ollama,
|
||||
neo4j_client=neo4j,
|
||||
wiki_client=wiki,
|
||||
settings=settings
|
||||
)
|
||||
|
||||
result = await sync_service.index_document(
|
||||
document_id=doc_id,
|
||||
user=user,
|
||||
)
|
||||
|
||||
return WebhookResponse(
|
||||
document_id=doc_id,
|
||||
status="indexed" if result.success else "failed",
|
||||
indexed=result.success,
|
||||
message=result.error if not result.success else f"Indexed: {result.title}"
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Webhook-simple failed for document {doc_id}: {e}", exc_info=True)
|
||||
return WebhookResponse(
|
||||
document_id=doc_id,
|
||||
status="error",
|
||||
indexed=False,
|
||||
message=str(e)
|
||||
)
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Upload Endpoints
|
||||
# =============================================================================
|
||||
|
||||
|
||||
@router.post("/upload", response_model=DocumentUploadResponse)
|
||||
async def upload_document(
|
||||
file: UploadFile = File(...),
|
||||
title: Optional[str] = Query(None, description="Document title"),
|
||||
collection: Optional[str] = Query(None, description="Collection name"),
|
||||
paperless: PaperlessDep = None,
|
||||
api_key: str = Depends(verify_api_key),
|
||||
):
|
||||
"""
|
||||
Upload a document to Paperless-ngx.
|
||||
|
||||
Paperless handles virus scanning. If clean, Paperless webhook
|
||||
triggers indexing back to Library Desk.
|
||||
"""
|
||||
settings = get_settings()
|
||||
if not settings.document_store_enabled:
|
||||
raise HTTPException(status_code=503, detail="Document store is disabled")
|
||||
|
||||
content = await file.read()
|
||||
filename = file.filename or "document"
|
||||
|
||||
custom_fields = []
|
||||
if collection:
|
||||
custom_fields.append({"field": "collection", "value": collection})
|
||||
|
||||
try:
|
||||
task_id = await paperless.upload_document(
|
||||
file_content=content,
|
||||
filename=filename,
|
||||
title=title,
|
||||
custom_fields=custom_fields if custom_fields else None,
|
||||
)
|
||||
|
||||
return DocumentUploadResponse(
|
||||
task_id=task_id,
|
||||
filename=filename,
|
||||
message=f"Uploaded to Paperless, task {task_id}. Indexing via webhook after scan."
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Upload failed for '{filename}': {e}")
|
||||
raise HTTPException(status_code=500, detail=f"Upload failed: {e}")
|
||||
|
||||
|
||||
@router.post("/upload-url", response_model=DocumentUploadResponse)
|
||||
async def upload_from_url(
|
||||
request: DocumentUploadRequest,
|
||||
paperless: PaperlessDep = None,
|
||||
api_key: str = Depends(verify_api_key),
|
||||
):
|
||||
"""
|
||||
Download document from URL and upload to Paperless-ngx.
|
||||
|
||||
Used by HybridRAG to save discovered PDFs. Paperless scans and
|
||||
webhooks back for indexing.
|
||||
"""
|
||||
import httpx
|
||||
|
||||
settings = get_settings()
|
||||
if not settings.document_store_enabled:
|
||||
raise HTTPException(status_code=503, detail="Document store is disabled")
|
||||
|
||||
if not request.url:
|
||||
raise HTTPException(status_code=400, detail="URL is required")
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=60.0) as client:
|
||||
response = await client.get(request.url, follow_redirects=True)
|
||||
response.raise_for_status()
|
||||
content = response.content
|
||||
filename = request.url.split("/")[-1].split("?")[0] or "document"
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Download failed from {request.url}: {e}")
|
||||
raise HTTPException(status_code=400, detail=f"Download failed: {e}")
|
||||
|
||||
try:
|
||||
custom_fields = [{"field": "source_url", "value": request.url}]
|
||||
if request.collection:
|
||||
custom_fields.append({"field": "collection", "value": request.collection})
|
||||
|
||||
task_id = await paperless.upload_document(
|
||||
file_content=content,
|
||||
filename=filename,
|
||||
title=request.title,
|
||||
custom_fields=custom_fields,
|
||||
)
|
||||
|
||||
return DocumentUploadResponse(
|
||||
task_id=task_id,
|
||||
filename=filename,
|
||||
message=f"Uploaded from URL, task {task_id}. Indexing via webhook after scan."
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Upload failed for URL '{request.url}': {e}")
|
||||
raise HTTPException(status_code=500, detail=f"Upload failed: {e}")
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Search
|
||||
# =============================================================================
|
||||
|
||||
|
||||
@router.post("/search", response_model=DocumentSearchResponse)
|
||||
async def search_documents(
|
||||
request: DocumentSearchRequest,
|
||||
qdrant: QdrantDep,
|
||||
ollama: OllamaDep,
|
||||
user: str = Query(default=DEFAULT_USER, description="User identifier"),
|
||||
api_key: str = Depends(verify_api_key),
|
||||
):
|
||||
"""
|
||||
Semantic search across indexed documents.
|
||||
"""
|
||||
from src.services.vector_service import VectorService
|
||||
from src.core.dependencies import get_wikijs_client
|
||||
from src.models.document import DocumentSearchHit
|
||||
|
||||
settings = get_settings()
|
||||
if not settings.document_store_enabled:
|
||||
raise HTTPException(status_code=503, detail="Document store is disabled")
|
||||
|
||||
start_time = time.time()
|
||||
|
||||
try:
|
||||
wiki = get_wikijs_client()
|
||||
vector_service = VectorService(qdrant, wiki, ollama)
|
||||
|
||||
results = await vector_service.search(
|
||||
query=request.query,
|
||||
user=user,
|
||||
limit=request.limit,
|
||||
score_threshold=0.5,
|
||||
doc_type="document"
|
||||
)
|
||||
|
||||
hits = []
|
||||
for result in results.get("results", []):
|
||||
hits.append(DocumentSearchHit(
|
||||
paperless_id=result.get("metadata", {}).get("paperless_id", 0),
|
||||
title=result.get("title", ""),
|
||||
score=result.get("score", 0.0),
|
||||
highlights=result.get("chunk_text", "")[:200] if request.include_content else None,
|
||||
collection=result.get("metadata", {}).get("collection"),
|
||||
document_type=result.get("metadata", {}).get("document_type"),
|
||||
content_preview=result.get("chunk_text", "")[:500] if request.include_content else None,
|
||||
))
|
||||
|
||||
return DocumentSearchResponse(
|
||||
query=request.query,
|
||||
hits=hits,
|
||||
total=len(hits),
|
||||
duration_ms=int((time.time() - start_time) * 1000)
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Document search failed: {e}", exc_info=True)
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Health
|
||||
# =============================================================================
|
||||
|
||||
|
||||
@router.get("/health", response_model=DocumentStoreHealth)
|
||||
async def document_store_health(paperless: PaperlessDep):
|
||||
"""Check Paperless-ngx connectivity."""
|
||||
settings = get_settings()
|
||||
|
||||
paperless_healthy = False
|
||||
if settings.paperless_token:
|
||||
try:
|
||||
paperless_healthy = await paperless.health_check()
|
||||
except Exception as e:
|
||||
logger.error(f"Paperless health check failed: {e}")
|
||||
|
||||
return DocumentStoreHealth(
|
||||
paperless_healthy=paperless_healthy,
|
||||
paperless_version="connected" if paperless_healthy else None,
|
||||
total_documents=None,
|
||||
indexed_documents=None
|
||||
)
|
||||
+113
-1
@@ -19,7 +19,7 @@ from src.services.graph_service import GraphService
|
||||
from src.services.volatile_service import VolatileCacheService
|
||||
from src.core.dependencies import (
|
||||
VectorServiceDep, GraphServiceDep, WikiJSDep, RedisDep,
|
||||
QdrantDep, OllamaDep, verify_api_key
|
||||
QdrantDep, OllamaDep, PaperlessDep, verify_api_key
|
||||
)
|
||||
from src.config import get_settings
|
||||
from src.core.multi_tenancy import DEFAULT_USER
|
||||
@@ -232,6 +232,18 @@ class TestDataCleanupResponse(BaseModel):
|
||||
duration_ms: float
|
||||
|
||||
|
||||
class PaperlessCleanupResponse(BaseModel):
|
||||
"""Response from Paperless orphan cleanup operation."""
|
||||
success: bool
|
||||
dry_run: bool
|
||||
paperless_ids_checked: int = Field(description="Total Paperless IDs found in indexes")
|
||||
orphans_found: int = Field(description="Documents deleted from Paperless but still indexed")
|
||||
orphan_ids: List[int] = Field(default_factory=list, description="Paperless IDs that are orphans")
|
||||
vector_chunks_deleted: int = Field(description="Vector chunks removed")
|
||||
graph_nodes_deleted: int = Field(description="Graph Document nodes removed")
|
||||
duration_ms: float
|
||||
|
||||
|
||||
# Test data path patterns - restricted to test user namespace only
|
||||
# These are the only paths that can be cleaned up for safety
|
||||
TEST_USER_PATH_PREFIXES = [
|
||||
@@ -675,6 +687,106 @@ async def cleanup_test_data(
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.post("/cleanup/paperless", response_model=PaperlessCleanupResponse)
|
||||
async def cleanup_paperless_orphans(
|
||||
user: str = Query(..., description="User identifier"),
|
||||
dry_run: bool = Query(default=True, description="Preview only, don't delete"),
|
||||
vector_service: VectorServiceDep = None,
|
||||
graph_service: GraphServiceDep = None,
|
||||
paperless: PaperlessDep = None,
|
||||
api_key: str = Depends(verify_api_key)
|
||||
):
|
||||
"""
|
||||
Find and clean up Paperless document orphans.
|
||||
|
||||
Detects documents that were indexed in Library Desk but have since been
|
||||
deleted from Paperless-ngx. Removes orphaned vectors and graph nodes.
|
||||
|
||||
**Use dry_run=true (default) to preview what would be deleted.**
|
||||
|
||||
**Scheduler Integration:**
|
||||
```json
|
||||
{
|
||||
"task_name": "paperless_orphan_cleanup",
|
||||
"schedule": "0 5 * * *",
|
||||
"endpoint": "POST /maintenance/cleanup/paperless?user=jpmschweitzer&dry_run=false",
|
||||
"description": "Daily cleanup of orphaned Paperless documents"
|
||||
}
|
||||
```
|
||||
"""
|
||||
start_time = time.time()
|
||||
|
||||
try:
|
||||
settings = get_settings()
|
||||
if not settings.paperless_token:
|
||||
raise HTTPException(status_code=503, detail="Paperless not configured")
|
||||
|
||||
# Get all document chunks from vectors with doc_type="document"
|
||||
chunk_refs = await vector_service.get_all_chunk_references(user)
|
||||
doc_chunks = [ref for ref in chunk_refs if ref.get("doc_type") == "document"]
|
||||
|
||||
# Extract unique paperless_ids
|
||||
paperless_ids = list(set(
|
||||
ref.get("paperless_id") for ref in doc_chunks
|
||||
if ref.get("paperless_id")
|
||||
))
|
||||
|
||||
logger.info(f"Found {len(paperless_ids)} unique Paperless IDs in indexes")
|
||||
|
||||
# Check each against Paperless API
|
||||
orphan_ids = []
|
||||
for pid in paperless_ids:
|
||||
try:
|
||||
doc = await paperless.get_document(pid)
|
||||
if doc is None:
|
||||
orphan_ids.append(pid)
|
||||
except Exception as e:
|
||||
# Document not found or API error - treat as orphan
|
||||
logger.debug(f"Paperless document {pid} not found: {e}")
|
||||
orphan_ids.append(pid)
|
||||
|
||||
logger.info(f"Found {len(orphan_ids)} orphaned Paperless documents")
|
||||
|
||||
# Delete orphans if not dry run
|
||||
vectors_deleted = 0
|
||||
graph_deleted = 0
|
||||
|
||||
if not dry_run and orphan_ids:
|
||||
for pid in orphan_ids:
|
||||
try:
|
||||
# Delete vector chunks for this paperless_id
|
||||
chunks_removed = await vector_service.delete_paperless_document_chunks(pid, user)
|
||||
vectors_deleted += chunks_removed
|
||||
|
||||
# Delete graph node for this paperless_id
|
||||
graph_removed = await graph_service.delete_paperless_document(pid, user)
|
||||
graph_deleted += graph_removed
|
||||
|
||||
logger.info(f"Cleaned up orphaned Paperless document {pid}: {chunks_removed} chunks, {graph_removed} nodes")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to cleanup Paperless document {pid}: {e}")
|
||||
|
||||
duration_ms = (time.time() - start_time) * 1000
|
||||
|
||||
return PaperlessCleanupResponse(
|
||||
success=True,
|
||||
dry_run=dry_run,
|
||||
paperless_ids_checked=len(paperless_ids),
|
||||
orphans_found=len(orphan_ids),
|
||||
orphan_ids=orphan_ids,
|
||||
vector_chunks_deleted=vectors_deleted,
|
||||
graph_nodes_deleted=graph_deleted,
|
||||
duration_ms=duration_ms
|
||||
)
|
||||
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
logger.error(f"Paperless orphan cleanup failed: {e}", exc_info=True)
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
|
||||
@router.get("/health", response_model=HealthCheckResponse)
|
||||
async def maintenance_health(
|
||||
user: str = Query(..., description="User identifier"),
|
||||
|
||||
@@ -0,0 +1,293 @@
|
||||
"""
|
||||
Document sync service for Library Desk.
|
||||
|
||||
Handles indexing of Paperless-ngx documents into vectors and graph.
|
||||
Called by webhook when Paperless completes document processing.
|
||||
"""
|
||||
|
||||
import logging
|
||||
import re
|
||||
import hashlib
|
||||
import uuid
|
||||
from typing import Optional, List
|
||||
from dataclasses import dataclass
|
||||
|
||||
from src.clients.paperless_client import PaperlessClient
|
||||
from src.clients.qdrant_client import QdrantClientWrapper
|
||||
from src.clients.ollama_client import OllamaClient
|
||||
from src.clients.neo4j_client import Neo4jClient
|
||||
from src.clients.wikijs_client import WikiJSClient
|
||||
from src.core.multi_tenancy import get_qdrant_collection_name
|
||||
from src.config import Settings
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@dataclass
|
||||
class IndexResult:
|
||||
"""Result of indexing a single document."""
|
||||
success: bool
|
||||
document_id: int
|
||||
title: str = ""
|
||||
chunks_created: int = 0
|
||||
error: Optional[str] = None
|
||||
|
||||
|
||||
class DocumentSyncService:
|
||||
"""
|
||||
Service for syncing Paperless documents to Library Desk indexes.
|
||||
|
||||
Handles:
|
||||
- Fetching document content from Paperless API
|
||||
- Chunking and embedding into Qdrant
|
||||
- Creating graph nodes in Neo4j
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
paperless_client: PaperlessClient,
|
||||
qdrant_client: QdrantClientWrapper,
|
||||
ollama_client: OllamaClient,
|
||||
neo4j_client: Neo4jClient,
|
||||
wiki_client: WikiJSClient,
|
||||
settings: Settings,
|
||||
chunk_size: int = 500,
|
||||
chunk_overlap: int = 50
|
||||
):
|
||||
self.paperless = paperless_client
|
||||
self.qdrant = qdrant_client
|
||||
self.ollama = ollama_client
|
||||
self.neo4j = neo4j_client
|
||||
self.wiki = wiki_client
|
||||
self.settings = settings
|
||||
self.chunk_size = chunk_size
|
||||
self.chunk_overlap = chunk_overlap
|
||||
|
||||
def _chunk_text(self, text: str) -> List[str]:
|
||||
"""Chunk text into overlapping segments."""
|
||||
text = re.sub(r'\s+', ' ', text).strip()
|
||||
words = text.split()
|
||||
|
||||
if len(words) <= self.chunk_size:
|
||||
return [text] if text else []
|
||||
|
||||
chunks = []
|
||||
start = 0
|
||||
|
||||
while start < len(words):
|
||||
end = start + self.chunk_size
|
||||
chunk_words = words[start:end]
|
||||
chunks.append(' '.join(chunk_words))
|
||||
start = end - self.chunk_overlap
|
||||
|
||||
return chunks
|
||||
|
||||
async def index_document(
|
||||
self,
|
||||
document_id: int,
|
||||
user: str,
|
||||
content: Optional[str] = None,
|
||||
title: Optional[str] = None,
|
||||
) -> IndexResult:
|
||||
"""
|
||||
Index a single document from Paperless into vectors and graph.
|
||||
|
||||
Args:
|
||||
document_id: Paperless document ID
|
||||
user: User identifier for multi-tenancy
|
||||
content: Optional document content (if provided, skip Paperless API call)
|
||||
title: Optional document title (if provided, skip Paperless API call)
|
||||
|
||||
Returns:
|
||||
IndexResult with success status and details
|
||||
"""
|
||||
logger.info(f"Indexing document {document_id} for user {user}")
|
||||
|
||||
try:
|
||||
# If content and title provided (from webhook), skip API call
|
||||
if content is not None and title is not None:
|
||||
doc_title = title
|
||||
doc_content = content
|
||||
original_filename = None
|
||||
correspondent = None
|
||||
document_type = None
|
||||
tags = []
|
||||
else:
|
||||
# Fetch document from Paperless
|
||||
doc = await self.paperless.get_document(document_id)
|
||||
if not doc:
|
||||
return IndexResult(
|
||||
success=False,
|
||||
document_id=document_id,
|
||||
error="Document not found in Paperless"
|
||||
)
|
||||
doc_title = doc.title
|
||||
doc_content = doc.content or ""
|
||||
original_filename = doc.original_file_name
|
||||
correspondent = doc.correspondent
|
||||
document_type = doc.document_type
|
||||
tags = doc.tags
|
||||
|
||||
if not doc_content.strip():
|
||||
logger.warning(f"Document {document_id} has no text content")
|
||||
return IndexResult(
|
||||
success=True,
|
||||
document_id=document_id,
|
||||
title=doc_title,
|
||||
chunks_created=0,
|
||||
error="No text content (possibly image/video only)"
|
||||
)
|
||||
|
||||
# Index vectors
|
||||
chunks_created = await self._index_vectors(
|
||||
document_id=document_id,
|
||||
title=doc_title,
|
||||
content=doc_content,
|
||||
user=user,
|
||||
metadata={
|
||||
"paperless_id": document_id,
|
||||
"original_filename": original_filename,
|
||||
"correspondent": correspondent,
|
||||
"document_type": document_type,
|
||||
"tags": tags,
|
||||
}
|
||||
)
|
||||
|
||||
# Index graph node
|
||||
await self._index_graph(
|
||||
document_id=document_id,
|
||||
title=doc_title,
|
||||
content=doc_content,
|
||||
user=user,
|
||||
)
|
||||
|
||||
# Mark as indexed in Paperless (optional - if custom field exists)
|
||||
try:
|
||||
await self._mark_indexed(document_id)
|
||||
except Exception as e:
|
||||
logger.debug(f"Could not mark document as indexed: {e}")
|
||||
|
||||
logger.info(f"Successfully indexed document {document_id}: {chunks_created} chunks")
|
||||
|
||||
return IndexResult(
|
||||
success=True,
|
||||
document_id=document_id,
|
||||
title=doc_title,
|
||||
chunks_created=chunks_created
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to index document {document_id}: {e}", exc_info=True)
|
||||
return IndexResult(
|
||||
success=False,
|
||||
document_id=document_id,
|
||||
error=str(e)
|
||||
)
|
||||
|
||||
async def _index_vectors(
|
||||
self,
|
||||
document_id: int,
|
||||
title: str,
|
||||
content: str,
|
||||
user: str,
|
||||
metadata: dict,
|
||||
) -> int:
|
||||
"""Create vector embeddings for document content."""
|
||||
collection = get_qdrant_collection_name(user)
|
||||
self.qdrant.ensure_collection(collection)
|
||||
|
||||
# Delete existing chunks for this document
|
||||
try:
|
||||
self.qdrant.client.delete(
|
||||
collection_name=collection,
|
||||
points_selector={
|
||||
"filter": {
|
||||
"must": [
|
||||
{"key": "doc_type", "match": {"value": "document"}},
|
||||
{"key": "paperless_id", "match": {"value": document_id}},
|
||||
]
|
||||
}
|
||||
}
|
||||
)
|
||||
except Exception as e:
|
||||
logger.debug(f"No existing chunks to delete: {e}")
|
||||
|
||||
# Chunk content
|
||||
chunks = self._chunk_text(content)
|
||||
if not chunks:
|
||||
return 0
|
||||
|
||||
# Generate embeddings
|
||||
embeddings = await self.ollama.embed_batch(chunks)
|
||||
|
||||
# Build points
|
||||
points = []
|
||||
for i, (chunk, embedding) in enumerate(zip(chunks, embeddings)):
|
||||
point_id = str(uuid.uuid4())
|
||||
content_hash = hashlib.md5(chunk.encode()).hexdigest()
|
||||
|
||||
points.append({
|
||||
"id": point_id,
|
||||
"vector": embedding,
|
||||
"payload": {
|
||||
"doc_type": "document",
|
||||
"paperless_id": document_id,
|
||||
"title": title,
|
||||
"chunk_text": chunk,
|
||||
"chunk_index": i,
|
||||
"content_hash": content_hash,
|
||||
**metadata
|
||||
}
|
||||
})
|
||||
|
||||
# Upsert to Qdrant
|
||||
if points:
|
||||
self.qdrant.client.upsert(
|
||||
collection_name=collection,
|
||||
points=points
|
||||
)
|
||||
|
||||
return len(points)
|
||||
|
||||
async def _index_graph(
|
||||
self,
|
||||
document_id: int,
|
||||
title: str,
|
||||
content: str,
|
||||
user: str,
|
||||
):
|
||||
"""Create graph node for document."""
|
||||
# Create Document node in Neo4j
|
||||
query = """
|
||||
MERGE (d:Document {paperless_id: $paperless_id, user: $user})
|
||||
SET d.title = $title,
|
||||
d.doc_type = 'document',
|
||||
d.updated_at = datetime()
|
||||
RETURN d
|
||||
"""
|
||||
await self.neo4j.execute_query(
|
||||
query,
|
||||
{
|
||||
"paperless_id": document_id,
|
||||
"user": user,
|
||||
"title": title,
|
||||
}
|
||||
)
|
||||
|
||||
# TODO: Extract entities from content and create relationships
|
||||
# This could use the same entity extraction as wiki pages
|
||||
|
||||
async def _mark_indexed(self, document_id: int):
|
||||
"""Mark document as indexed in Paperless custom field."""
|
||||
# Try to update library_indexed custom field if it exists
|
||||
try:
|
||||
# Look up field ID by name (Paperless requires ID, not name)
|
||||
field = await self.paperless.get_custom_field_by_name("library_indexed")
|
||||
if field:
|
||||
await self.paperless.update_document(
|
||||
document_id=document_id,
|
||||
custom_fields=[{"field": field["id"], "value": True}]
|
||||
)
|
||||
except Exception:
|
||||
# Field might not exist, that's OK
|
||||
pass
|
||||
@@ -1306,6 +1306,48 @@ Feel free to expand it with more details!
|
||||
logger.error(f"Failed to delete document {document_id} from graph: {e}", exc_info=True)
|
||||
return 0
|
||||
|
||||
async def delete_paperless_document(
|
||||
self,
|
||||
paperless_id: int,
|
||||
user: str
|
||||
) -> int:
|
||||
"""
|
||||
Delete a Paperless document node and all its relationships.
|
||||
|
||||
Args:
|
||||
paperless_id: Paperless-ngx document ID
|
||||
user: User identifier
|
||||
|
||||
Returns:
|
||||
Number of nodes deleted (1 if successful, 0 if not found)
|
||||
"""
|
||||
user_doc_label = get_neo4j_user_label(user)
|
||||
|
||||
delete_query = f"""
|
||||
MATCH (d:{user_doc_label}:Document {{paperless_id: $paperless_id}})
|
||||
DETACH DELETE d
|
||||
RETURN count(d) as deleted_count
|
||||
"""
|
||||
|
||||
try:
|
||||
result = await self.neo4j.execute_query(
|
||||
delete_query,
|
||||
{"paperless_id": paperless_id}
|
||||
)
|
||||
|
||||
deleted_count = result[0]["deleted_count"] if result else 0
|
||||
|
||||
if deleted_count > 0:
|
||||
logger.info(f"Deleted Document node for Paperless document {paperless_id}")
|
||||
else:
|
||||
logger.debug(f"No Document node found for Paperless document {paperless_id}")
|
||||
|
||||
return deleted_count
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to delete Paperless document {paperless_id} from graph: {e}", exc_info=True)
|
||||
return 0
|
||||
|
||||
async def delete_collection_node(
|
||||
self,
|
||||
collection_id: str,
|
||||
|
||||
@@ -389,6 +389,39 @@ class VectorService:
|
||||
logger.error(f"Failed to delete chunks for document {document_id}: {e}", exc_info=True)
|
||||
return 0
|
||||
|
||||
async def delete_paperless_document_chunks(
|
||||
self,
|
||||
paperless_id: int,
|
||||
user: str
|
||||
) -> int:
|
||||
"""
|
||||
Delete all chunks for a Paperless document.
|
||||
|
||||
Args:
|
||||
paperless_id: Paperless-ngx document ID
|
||||
user: User identifier
|
||||
|
||||
Returns:
|
||||
Number of chunks deleted
|
||||
"""
|
||||
collection_name = get_qdrant_collection_name(user)
|
||||
|
||||
try:
|
||||
deleted_count = await self.qdrant.delete_by_filter(
|
||||
collection_name=collection_name,
|
||||
filter_conditions={
|
||||
"doc_type": "document",
|
||||
"paperless_id": paperless_id
|
||||
}
|
||||
)
|
||||
|
||||
logger.info(f"Deleted chunks for Paperless document {paperless_id}")
|
||||
return deleted_count
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to delete chunks for Paperless document {paperless_id}: {e}", exc_info=True)
|
||||
return 0
|
||||
|
||||
async def delete_collection_chunks(
|
||||
self,
|
||||
collection_id: str,
|
||||
|
||||
Reference in New Issue
Block a user