mirror of
https://github.com/ClusterCockpit/cc-backend
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136 lines
7.7 KiB
Markdown
136 lines
7.7 KiB
Markdown
# ClusterCockpit REST and GraphQL API backend
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[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)
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This is a Golang backend implementation for a REST and GraphQL API according to the [ClusterCockpit specifications](https://github.com/ClusterCockpit/cc-specifications).
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It also includes a web interface for ClusterCockpit.
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While there is a backend for the InfluxDB timeseries database, the only tested and supported setup is using cc-metric-store as a mtric data backend.
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We will add documentation how to integrate ClusterCockpit with other timeseries databases in the future.
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This implementation replaces the previous PHP Symfony based ClusterCockpit web-interface.
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[Here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution) is a discussion of the reasons why we switched from PHP Symfony to a Golang based solution.
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## Overview
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This is a golang web backend for the ClusterCockpit job-specific performance monitoring framework.
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It provides a REST API for integrating ClusterCockpit with a HPC cluster batch system and external analysis scripts.
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Data exchange between the web frontend and backend is based on a GraphQL API.
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The web frontend is also served by the backend using [Svelte](https://svelte.dev/) components.
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Layout and styling is based on [Bootstrap 5](https://getbootstrap.com/) using [Bootstrap Icons](https://icons.getbootstrap.com/).
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The backend uses [SQLite 3](https://sqlite.org/) as relational SQL database by default.
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It can optionally use a MySQL/MariaDB database server.
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Finished batch jobs are stored in a file-based job archive following [this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).
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The backend supports authentication using local accounts or an external LDAP directory.
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Authorization for APIs is implemented using [JWT](https://jwt.io/) tokens created with public/private key encryption.
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You find more detailed information here:
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* `./configs/README.md`: Infos about configuration and setup of cc-backend.
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* `./init/README.md`: Infos on how to setup cc-backend as systemd service on Linux.
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* `./tools/README.md`: Infos on the JWT authorizatin token workflows in ClusterCockpit.
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* `./docs`: You can find further documentation here. There is also a Hands-on tutorial that is recommended to get familiar with the ClusterCockpit setup.
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## Demo Setup
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We provide a shell skript that downloads demo data and automatically builds and starts cc-backend.
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You need `wget`, `go`, and `yarn` in your path to start the demo. The demo will download 32MB of data (223MB on disk).
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```sh
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git clone https://github.com/ClusterCockpit/cc-backend.git
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cd ./cc-backend
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./startDemo.sh
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```
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You can access the web interface at http://localhost:8080.
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Credentials for login: `demo:AdminDev`.
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Please note that some views do not work without a metric backend (e.g., the Systems and Status view).
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## Howto Build and Run
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There is a Makefile to automate the build of cc-backend. The Makefile supports the following targets:
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* `$ make`: Initialize `var` directory and build svelte frontend and backend binary. Please note that there is no proper prerequesite handling. Any change of frontend source files will trigger a complete rebuild.
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* `$ make clean`: Clean go build cache and remove binary
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* `$ make test`: Run the tests that are also run in the GitHub workflow setup.
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A common workflow to setup cc-backend fron scratch is:
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```sh
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git clone https://github.com/ClusterCockpit/cc-backend.git
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# Build binary
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cd ./cc-backend/
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make
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# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!
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# If authentication is disabled, it can be empty.
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cp configs/env-template.txt .env
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vim ./.env
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cp configs/config.json ./
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vim ./config.json
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#Optional: Link an existing job archive:
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ln -s <your-existing-job-archive> ./var/job-archive
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# This will first initialize the job.db database by traversing all
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# `meta.json` files in the job-archive and add a new user. `--no-server` will cause the
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# executable to stop once it has done that instead of starting a server.
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./cc-backend --init-db --add-user <your-username>:admin:<your-password>
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# Start a HTTP server (HTTPS can be enabled, the default port is 8080).
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# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).
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./cc-backend --server --dev
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# Show other options:
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./cc-backend --help
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```
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### Run as systemd daemon
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In order to run this program as a daemon, cc-backend ships with an [example systemd setup](./init/README.md).
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## Configuration and Setup
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cc-backend can be used as a local web-interface for an existing job archive or as a general web-interface server for a live ClusterCockpit Monitoring framework.
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Create your job-archive according to [this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).
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At least one cluster with a valid `cluster.json` file is required.
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Having no jobs in the job-archive at all is fine.
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### Configuration
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A config file in the JSON format has to be provided using `--config` to override the defaults.
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By default, if there is a `config.json` file in the current directory of the `cc-backend` process, it will be loaded even without the `--config` flag.
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You find documentation of all supported configuration and command line options [here](./configs.README.md).
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## Development
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In case the REST or GraphQL API is changed the according code generators have to be used.
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### Update GraphQL schema
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This project uses [gqlgen](https://github.com/99designs/gqlgen) for the GraphQL API.
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The schema can be found in `./api/schema.graphqls`.
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After changing it, you need to run `go run github.com/99designs/gqlgen` which will update `./internal/graph/model`.
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In case new resolvers are needed, they will be inserted into `./internal/graph/schema.resolvers.go`, where you will need to implement them.
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If you start cc-backend with flag `--dev` the GraphQL Playground UI is available at http://localhost:8080/playground .
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### Update Swagger UI
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This project integrates [swagger ui](https://swagger.io/tools/swagger-ui/) to document and test its REST API.
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The swagger doc files can be found in `./api/`.
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You can generate the configuration of swagger-ui by running `go run github.com/swaggo/swag/cmd/swag init -d ./internal/api,./pkg/schema -g rest.go -o ./api `.
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You need to move the generated `./api/doc.go` to `./internal/api/doc.go`.
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If you start cc-backend with flag `--dev` the Swagger UI is available at http://localhost:8080/swagger .
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## Project Structure
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- `api/` contains the API schema files for the REST and GraphQL APIs. The REST API is documented in the OpenAPI 3.0 format in [./api/openapi.yaml](./api/openapi.yaml).
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- `cmd/cc-backend` contains `main.go` for the main application.
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- `cmd/gen-keypair` contains is a small application to generate a compatible JWT keypair includin a README about JWT setup in ClusterCockpit.
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- `configs/` contains documentation about configuration and command line options and required environment variables. An example configuration file is provided.
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- `init/` contains an example systemd setup for production use.
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- `internal/` contains library source code that is not intended to be used by others.
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- `pkg/` contains go packages that can also be used by other projects.
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- `test/` Test apps and test data.
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- `web/` Server side templates and frontend related files:
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- `templates` Serverside go templates
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- `frontend` Svelte components and static assets for frontend UI
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- `gqlgen.yml` configures the behaviour and generation of [gqlgen](https://github.com/99designs/gqlgen).
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- `startDemo.sh` is a shell script that sets up demo data, and builds and starts cc-backend.
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