docs(readme): add project README for v0.1 alpha

Covers features, architecture diagram, token flow, stack, environment
variables, quick-start, running tests, cloud backend setup, AI provider
configuration, and alpha status disclaimer.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
curo1305
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co-authored by Claude Sonnet 4.6
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# DocuVault
**Version 0.1.0 — Alpha**
> **Not production-ready.** DocuVault is functional for local and self-hosted use but has not been audited or hardened for public internet exposure. APIs, environment variables, and the database schema may change without notice until a stable 1.0 release is declared.
A self-hosted, multi-user document management platform with AI-powered topic classification, pluggable cloud storage backends, and a security-first architecture.
---
## Features
- **Document management** — upload PDF, DOCX, images, and plain text; full-text extraction stored in PostgreSQL
- **AI classification** — automatic topic tagging via LM Studio (local), Ollama, OpenAI, Anthropic, or any OpenAI-compatible provider (Groq, xAI, DeepSeek, OpenRouter, Gemini, Mistral)
- **Folder organisation** — hierarchical folders with move, rename, and delete; breadcrumb navigation
- **Document sharing** — share by user handle with view or edit permission; "Shared with me" virtual folder; per-recipient revocation
- **Storage quota** — per-user limit enforced atomically; amber/red quota bar at 80 % / 95 %; quota decremented on delete
- **Cloud storage backends** — connect OneDrive, Google Drive, Nextcloud, or any WebDAV server as a personal storage backend; credentials encrypted with HKDF per-user keys
- **Auth** — email/password registration with HIBP breach check, optional TOTP 2FA, 810 backup codes, password reset by email, sign-out-all-devices
- **Admin panel** — user CRUD, quota assignment, per-user AI provider override, AI provider system configuration, audit log viewer with CSV export
- **Observability** — structured JSON logging via structlog, per-request correlation IDs, Loki + Promtail + Grafana stack included in Docker Compose
- **Production hardening** — non-root containers, read-only filesystems, CSP/CSRF/Origin-validation middleware, per-IP and per-account rate limiting, CVE scanning gate
---
## Architecture
```
┌─────────────────────────────────────────┐
│ Vue 3 frontend (Vite + Pinia + Tailwind) │
│ Port 5173 │
└────────────────┬────────────────────────┘
│ REST / httpOnly cookie
┌────────────────▼────────────────────────┐
│ FastAPI backend (Python 3.12) │
│ Port 8000 │
│ ├── api/auth.py (JWT + TOTP) │
│ ├── api/documents.py │
│ ├── api/folders.py │
│ ├── api/shares.py │
│ ├── api/cloud.py (cloud backends) │
│ ├── api/admin.py │
│ └── api/audit.py │
└──┬──────────┬──────────┬───────────────┘
│ │ │
▼ ▼ ▼
PostgreSQL MinIO Redis
(data) (objects) (rate limit / TOTP replay)
└── Celery worker
(extract + classify tasks)
Celery beat
(daily audit export)
```
**Storage object key schema:** `{user_id}/{document_id}/{uuid4()}{ext}` — human filenames live in PostgreSQL only.
**Token flow:** Access token (15 min, ES256) in Pinia memory only. Refresh token (30 day) in an httpOnly `SameSite=Strict` cookie. Refresh rotation on every use; reuse revokes the entire token family.
---
## Stack
| Layer | Technology |
|-------|------------|
| Backend | Python 3.12, FastAPI 0.136+, SQLAlchemy 2.0 async, psycopg v3, Alembic |
| Task queue | Celery 5 + Redis, celery-beat for scheduled tasks |
| Object store | MinIO (S3-compatible) |
| Database | PostgreSQL 17 |
| Frontend | Vue 3 (Options API), Pinia, Vue Router 4, Vite, Tailwind CSS |
| Auth | PyJWT (ES256), pwdlib[argon2], pyotp (TOTP), cryptography (HKDF/AES-GCM) |
| AI providers | Anthropic, OpenAI, Ollama, LM Studio, GenericOpenAI (Groq/xAI/DeepSeek/Gemini/…) |
| Cloud backends | Google Drive, OneDrive (MSAL), Nextcloud, WebDAV |
| Observability | structlog, Loki, Promtail, Grafana |
| Rate limiting | slowapi (per-IP + per-account) |
| Load testing | Locust (`backend/load_tests/`) |
---
## Prerequisites
- Docker and Docker Compose v2
- `openssl` (for generating secrets)
- *(Optional)* LM Studio or Ollama running on the host for local AI classification
---
## Quick Start
```bash
# 1. Clone
git clone <repo-url>
cd document_scanner
# 2. Create .env from the example
cp .env.example .env
# 3. Generate required secrets
python3 -c "import secrets; print(secrets.token_hex(64))" # → SECRET_KEY
python3 -c "import secrets; print(secrets.token_urlsafe(32))" # → CLOUD_CREDS_KEY
# 4. Edit .env — at minimum set:
# SECRET_KEY, CLOUD_CREDS_KEY, ADMIN_EMAIL, ADMIN_PASSWORD
# (everything else has usable defaults for local dev)
nano .env
# 5. Start all services
docker compose up -d --build
# 6. Run database migrations
docker compose exec backend alembic upgrade head
# 7. Open the app
open http://localhost:5173
```
The bootstrap admin account (email + password from `.env`) is created automatically on first startup if no users exist.
---
## Service URLs
| Service | URL | Notes |
|---------|-----|-------|
| Vue frontend | http://localhost:5173 | Main app |
| FastAPI backend | http://localhost:8000 | REST API |
| API health | http://localhost:8000/health | Postgres + MinIO probe |
| OpenAPI docs | http://localhost:8000/docs | Swagger UI (dev) |
| MinIO console | http://localhost:9001 | Object browser |
| Grafana | http://localhost:3000 | Log dashboard (admin/changeme) |
| Loki | http://localhost:3100/ready | Log aggregator |
---
## Environment Variables
Copy `.env.example` to `.env`. Only the fields marked **Required** must be set before first boot. See `RUNBOOK.md` for the full reference.
### Required
| Variable | Description |
|----------|-------------|
| `SECRET_KEY` | JWT signing secret — generate with `openssl rand -hex 32` |
| `CLOUD_CREDS_KEY` | Master key for cloud credential encryption — generate with `openssl rand -hex 16` (pad to 32 chars) |
| `ADMIN_EMAIL` | Bootstrap admin email |
| `ADMIN_PASSWORD` | Bootstrap admin password (must pass strength check) |
| `POSTGRES_PASSWORD` | PostgreSQL superuser password |
| `MINIO_ROOT_PASSWORD` | MinIO root password |
| `REDIS_PASSWORD` | Redis `requirepass` password |
### Optional (sensible defaults for local dev)
| Variable | Default | Description |
|----------|---------|-------------|
| `CORS_ORIGINS` | `http://localhost:5173` | Comma-separated allowed origins |
| `SMTP_HOST` | *(unset)* | Leave empty to log password-reset links to stdout |
| `LOG_JSON` | `false` | Set `true` in production for structured JSON logs |
| `DEFAULT_AI_PROVIDER` | `ollama` | Used on first boot seed; overridable per-user in admin panel |
| `GOOGLE_CLIENT_ID/SECRET` | *(unset)* | Required only if using Google Drive backend |
| `ONEDRIVE_CLIENT_ID/SECRET` | *(unset)* | Required only if using OneDrive backend |
---
## Development
### Backend (local, no Docker)
```bash
cd backend
pip install -r requirements.txt -r requirements-dev.txt
# Requires a running PostgreSQL and Redis — use docker compose up postgres redis minio
uvicorn main:app --reload --port 8000
```
### Frontend (local, no Docker)
```bash
cd frontend
npm install
npm run dev # http://localhost:5173
```
### Database migrations
```bash
# Apply all pending migrations
docker compose exec backend alembic upgrade head
# Create a new migration after changing db/models.py
docker compose exec backend alembic revision --autogenerate -m "describe change"
```
### Live reload in Docker
`docker-compose.yml` mounts `./backend:/app` so Python changes reload automatically. After changing `requirements.txt` or `Dockerfile`:
```bash
docker compose build backend celery-worker celery-beat
docker compose up -d backend celery-worker celery-beat
```
---
## Testing
```bash
# Backend — all tests
cd backend && pytest -v
# Backend — integration tests (requires live PostgreSQL + MinIO)
INTEGRATION=1 pytest -v
# Frontend
cd frontend && npm run test
# Load testing (requires a running stack + load-test user)
cd backend
pip install locust
locust -f load_tests/locustfile.py --host http://localhost:8000
```
### Test coverage by layer
| Layer | Approach |
|-------|----------|
| Service / business logic | Unit tests with mocked dependencies |
| DB queries | Integration tests against real PostgreSQL |
| API endpoints | `httpx.AsyncClient` against a real DB |
| Auth flows | Full round-trip (register → login → TOTP → refresh → revoke) |
| Security invariants | Negative tests (wrong owner → 403/404, admin block, token replay) |
| Frontend | Vitest unit tests in `frontend/tests/` |
---
## AI Providers
AI provider settings live in the `system_settings` database table and are managed through the Admin → AI Providers panel. API keys are encrypted at rest with HKDF/AES-GCM.
| Provider | Type | `provider_id` |
|----------|------|---------------|
| LM Studio | Local (OpenAI-compat) | `lmstudio` |
| Ollama | Local (OpenAI-compat) | `ollama` |
| OpenAI | Cloud | `openai` |
| Anthropic | Cloud (native) | `anthropic` |
| Groq | Cloud (OpenAI-compat) | `groq` |
| xAI Grok | Cloud (OpenAI-compat) | `xai` |
| DeepSeek | Cloud (OpenAI-compat) | `deepseek` |
| OpenRouter | Cloud (OpenAI-compat) | `openrouter` |
| Gemini (compat) | Cloud | `gemini` |
| Mistral (compat) | Cloud | `mistral` |
Documents whose classification fails are automatically retried by Celery at 30 s, 90 s, and 270 s. After three failures the document shows a red "Classification failed" badge with a "Re-analyze" button.
---
## Cloud Storage Backends
Users connect cloud storage through **Settings → Cloud Storage**. Credentials are encrypted per-user with an HKDF-derived key and never returned in API responses.
| Provider | Auth method | Notes |
|----------|-------------|-------|
| Google Drive | OAuth 2.0 | Requires `GOOGLE_CLIENT_ID/SECRET` |
| Microsoft OneDrive | OAuth 2.0 (MSAL) | Requires `ONEDRIVE_CLIENT_ID/SECRET` |
| Nextcloud | Username + password | Custom server URL; SSRF allowlist enforced |
| WebDAV | Username + password | Any RFC 4918 server; SSRF allowlist enforced |
Connection statuses: `ACTIVE`, `REQUIRES_REAUTH`, `ERROR`. An externally revoked OAuth token transitions to `REQUIRES_REAUTH` without a 500 error.
---
## Security Highlights
- **Passwords** hashed with Argon2id; HIBP breach check on registration and password change
- **JWT** signed with ES256 (ECDSA P-256); access token 15 min; refresh token 30 days in httpOnly `SameSite=Strict` cookie
- **Token fingerprinting** — access token embeds HMAC of `User-Agent + Accept-Language`; validated on every request
- **TOTP replay prevention** — used codes marked in Redis within the 90 s validity window
- **Quota** enforced by a single atomic `UPDATE … RETURNING` — no read-then-write race
- **IDOR protection** — every resource endpoint asserts `resource.user_id == current_user.id`
- **SSRF prevention** — user-supplied WebDAV/Nextcloud URLs pass a hostname allowlist
- **CSP / security headers** on every response
- **Container hardening** — non-root user (`appuser` uid 1000), read-only root filesystem, all Linux capabilities dropped
- **Audit log** — all auth events, quota violations, and admin actions logged without document content
Security gate (run before every production deploy):
```bash
bandit -r backend/ # zero HIGH
pip audit # zero critical/high CVEs
npm audit --audit-level=high # zero high/critical
docker scout cves local://docuvault-backend:latest --only-severity critical --exit-code
```
See `SECURITY.md` for the full threat model and `RUNBOOK.md` for operational procedures.
---
## Observability
Structured JSON logs are emitted to stdout and collected by Promtail → Loki → Grafana.
Every request gets an `X-Correlation-ID` header bound to all log lines for that request. Log fields include `correlation_id`, `path`, `method`, `status_code`, `duration_ms`, and `user_id` (when authenticated).
Access Grafana at http://localhost:3000 (default credentials: `admin` / `changeme` — change via `GRAFANA_ADMIN_PASSWORD` in `.env`). Add a Loki datasource pointing to `http://loki:3100` to query logs.
---
## Project Structure
```
.
├── backend/
│ ├── ai/ # Provider implementations + classifier
│ ├── api/ # FastAPI routers (auth, documents, folders, shares, cloud, admin, audit)
│ ├── db/ # SQLAlchemy models + async session
│ ├── deps/ # FastAPI dependency injection (auth, db, utils)
│ ├── migrations/ # Alembic migration versions
│ ├── services/ # Business logic (auth, classifier, storage, email, audit, rate limiting)
│ ├── storage/ # StorageBackend ABC + MinIO/Google/OneDrive/Nextcloud/WebDAV backends
│ ├── tasks/ # Celery tasks (document processing, email, audit export)
│ ├── load_tests/ # Locust load test scripts
│ ├── tests/ # pytest test suite
│ ├── main.py # FastAPI application factory + middleware
│ └── config.py # Pydantic settings
├── frontend/
│ └── src/
│ ├── api/ # Axios API client modules
│ ├── components/ # UI components (documents, folders, cloud, admin, sharing, layout)
│ ├── stores/ # Pinia stores (auth, documents, folders, cloud connections)
│ ├── views/ # Page-level view components
│ └── utils/ # formatters.js (formatDate, formatSize, providerColor, …)
├── docker/
│ ├── postgres/ # initdb.d — user + role bootstrap SQL
│ └── loki/ # Loki + Promtail config
├── docker-compose.yml
├── .env.example
├── RUNBOOK.md # Operational runbook (env vars, backup, on-call, failure modes)
└── SECURITY.md # Threat model and security gate results
```
---
## Contributing
1. All new endpoints require at least one integration test
2. Run `pytest -v` and `npm run test` — zero failures required
3. Run `bandit -r backend/` — zero HIGH findings
4. No raw SQL string interpolation; no `pickle`; no `eval`; no `innerHTML` with user data
5. Service layer raises `ValueError` (never `HTTPException`); only the router layer raises `HTTPException`
6. Before writing a new helper, check the shared module map in `CLAUDE.md`