The top-level entity that groups entrypoints and targets is now called Webhook (was Processor). The inbound URL endpoint entity is now called Entrypoint (was Webhook). This rename affects database models, handler comments, routes, and README documentation. closes #12
189 lines
6.8 KiB
Markdown
189 lines
6.8 KiB
Markdown
# webhooker
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webhooker is a Go web application by [@sneak](https://sneak.berlin) that
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receives, stores, and proxies webhooks to configured targets with retry
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support, observability, and a management web UI. License: MIT.
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## Getting Started
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```bash
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# Clone the repo
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git clone https://git.eeqj.de/sneak/webhooker.git
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cd webhooker
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# Install dependencies
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make deps
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# Copy example config
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cp configs/config.yaml.example config.yaml
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# Run in development mode
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make dev
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# Run all checks (format, lint, test, build)
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make check
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# Build Docker image
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make docker
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```
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### Environment Variables
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- `WEBHOOKER_ENVIRONMENT` — `dev` or `prod` (default: `dev`)
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- `DEBUG` — Enable debug logging
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- `PORT` — Server port (default: `8080`)
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- `DBURL` — Database connection string
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- `SESSION_KEY` — Base64-encoded 32-byte session key (required in prod)
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- `METRICS_USERNAME` — Username for metrics endpoint
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- `METRICS_PASSWORD` — Password for metrics endpoint
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- `SENTRY_DSN` — Sentry error reporting (optional)
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## Rationale
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Webhook integrations between services are fragile: the receiving service
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must be up when the webhook fires, there is no built-in retry for most
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webhook senders, and there is no visibility into what was sent or when.
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webhooker solves this by acting as a reliable intermediary that receives
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webhooks, stores them, and delivers them to configured targets — with
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optional retries, logging, and Prometheus metrics for observability.
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Use cases include:
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- Store-and-forward with unlimited retries for unreliable receivers
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- Prometheus/Grafana metric analysis of webhook frequency, size, and
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handler performance
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- Introspection and debugging of webhook payloads
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- Redelivery of webhook events for application testing
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- Fan-out delivery of webhooks to multiple targets
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- HA ingestion endpoint for delivery to less reliable systems
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## Design
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### Architecture
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webhooker uses Uber's fx dependency injection library for managing
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application lifecycle. It uses `log/slog` for structured logging, GORM
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for database access, and SQLite (via `modernc.org/sqlite`, pure Go, no
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CGO) for storage. HTTP routing uses chi.
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### Rate Limiting
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Global rate limiting middleware (e.g. per-IP throttling applied at the
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router level) must **not** apply to webhook receiver endpoints
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(`/webhook/{uuid}`). Webhook endpoints receive automated traffic from
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external services at unpredictable rates, and blanket rate limits would
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cause legitimate webhook deliveries to be dropped.
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Instead, each webhook endpoint has its own individually configurable rate
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limit, applied within the webhook handler itself. By default, no rate
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limit is applied — webhook endpoints accept traffic as fast as it arrives.
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Rate limits can be configured on a per-webhook basis in the application
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when needed (e.g. to protect against a misbehaving sender).
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### Database Architecture
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webhooker uses separate SQLite database files rather than a single
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monolithic database:
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- **Main application database** — Stores application configuration and
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all standard webapp data: users, sessions, API keys, and global
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settings.
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- **Per-webhook databases** — Each webhook gets its own dedicated SQLite
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database file containing: input logs, webhook logs, and all output
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queues for that specific webhook.
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This separation provides several benefits: webhook databases can be
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independently backed up, rotated, or archived; a high-volume webhook
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won't cause lock contention or bloat affecting the main application; and
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individual webhook data can be cleanly deleted when a webhook is
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removed.
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### Package Layout
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All application code lives under `internal/` to prevent external imports.
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The main entry point is `cmd/webhooker/main.go`.
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- `internal/config` — Configuration management via `pkg/config` (Viper-based)
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- `internal/database` — GORM database connection, migrations, and models
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- `internal/globals` — Global application metadata (version, build info)
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- `internal/handlers` — HTTP handlers using the closure pattern
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- `internal/healthcheck` — Health check endpoint logic
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- `internal/logger` — Structured logging setup (`log/slog`)
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- `internal/middleware` — HTTP middleware (auth, CORS, logging, metrics)
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- `internal/server` — HTTP server setup and routing
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- `internal/session` — Session management (gorilla/sessions)
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- `pkg/config` — Reusable multi-environment configuration library
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- `static/` — Embedded static assets (CSS, JS)
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- `templates/` — Go HTML templates
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### Data Model
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- **Users** — Service users with username/password (Argon2id hashing)
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- **Webhooks** — Webhook processing units, many-to-one with users
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- **Entrypoints** — Inbound URL endpoints feeding into webhooks
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- **Targets** — Delivery destinations per webhook (HTTP, retry, database, log)
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- **Events** — Captured webhook payloads
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- **Deliveries** — Pairing of events with targets
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- **Delivery Results** — Outcome of each delivery attempt
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- **API Keys** — Programmatic access credentials per user
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### API Endpoints
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- `GET /` — Web UI index page
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- `GET /.well-known/healthcheck` — Health check with uptime, version
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- `GET /s/*` — Static file serving (CSS, JS)
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- `GET /metrics` — Prometheus metrics (requires basic auth)
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- `POST /webhook/{uuid}` — Webhook receiver endpoint
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- `/pages/login`, `/pages/logout` — Authentication
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- `/user/{username}` — User profile
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- `/sources/*` — Webhook source management
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## TODO
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### Phase 1: Security & Infrastructure
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- [ ] Security headers (HSTS, CSP, X-Frame-Options)
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- [ ] Rate limiting middleware
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- [ ] CSRF protection for forms
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- [ ] Request ID tracking through entire lifecycle
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### Phase 2: Authentication & Authorization
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- [ ] Authentication middleware for protected routes
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- [ ] Session expiration and "remember me"
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- [ ] Password reset flow
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- [ ] API key authentication for programmatic access
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### Phase 3: Core Webhook Features
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- [ ] Webhook reception and event storage at `/webhook/{uuid}`
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- [ ] Event processing and target delivery engine
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- [ ] HTTP target type (fire-and-forget POST)
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- [ ] Retry target type (exponential backoff)
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- [ ] Database target type (store only)
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- [ ] Log target type (console output)
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- [ ] Webhook signature verification (GitHub, Stripe formats)
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### Phase 4: Web UI
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- [ ] Webhook source management pages (list, create, edit, delete)
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- [ ] Webhook request log viewer with filtering
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- [ ] Delivery status and retry management UI
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- [ ] Manual event redelivery
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- [ ] Analytics dashboard (success rates, response times)
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### Phase 5: API
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- [ ] RESTful CRUD for webhooks, entrypoints, targets
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- [ ] Event viewing and filtering endpoints
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- [ ] API documentation (OpenAPI)
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### Future
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- [ ] Email source and delivery target types
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- [ ] SNS, S3, Slack delivery targets
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- [ ] Data transformations (e.g. webhook-to-Slack message)
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- [ ] JSONL file delivery with periodic S3 upload
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## License
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MIT License. See [LICENSE](LICENSE) for details.
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## Author
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[@sneak](https://sneak.berlin)
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