feat: enterprise OTEL telemetry exporter (squash merge from feat/otel-telemetry-ee)

This commit is contained in:
GareArc
2026-03-15 21:21:45 -07:00
parent bdbec77c54
commit 45c28905f2
394 changed files with 14287 additions and 3929 deletions

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@ -42,7 +42,7 @@ The scripts resolve paths relative to their location, so you can run them from a
1. Set up your application by visiting `http://localhost:3000`.
1. Start the worker service (async and scheduler tasks, runs from `api`).
1. Optional: start the worker service (async tasks, runs from `api`).
```bash
./dev/start-worker
@ -54,6 +54,87 @@ The scripts resolve paths relative to their location, so you can run them from a
./dev/start-beat
```
### Manual commands
<details>
<summary>Show manual setup and run steps</summary>
These commands assume you start from the repository root.
1. Start the docker-compose stack.
The backend requires middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using `docker-compose`.
```bash
cp docker/middleware.env.example docker/middleware.env
# Use mysql or another vector database profile if you are not using postgres/weaviate.
docker compose -f docker/docker-compose.middleware.yaml --profile postgresql --profile weaviate -p dify up -d
```
1. Copy env files.
```bash
cp api/.env.example api/.env
cp web/.env.example web/.env.local
```
1. Install UV if needed.
```bash
pip install uv
# Or on macOS
brew install uv
```
1. Install API dependencies.
```bash
cd api
uv sync --group dev
```
1. Install web dependencies.
```bash
cd web
pnpm install
cd ..
```
1. Start backend (runs migrations first, in a new terminal).
```bash
cd api
uv run flask db upgrade
uv run flask run --host 0.0.0.0 --port=5001 --debug
```
1. Start Dify [web](../web) service (in a new terminal).
```bash
cd web
pnpm dev:inspect
```
1. Set up your application by visiting `http://localhost:3000`.
1. Optional: start the worker service (async tasks, in a new terminal).
```bash
cd api
# Note: enterprise_telemetry queue is only used in Enterprise Edition
uv run celery -A app.celery worker -P threads -c 2 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor,retention,enterprise_telemetry
```
1. Optional: start Celery Beat (scheduled tasks, in a new terminal).
```bash
cd api
uv run celery -A app.celery beat
```
</details>
### Environment notes
> [!IMPORTANT]