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service-aware-frontend/pkgs/clan-cli/README.md
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# clan-cli
The clan-cli contains the command line interface as well as the graphical webui through the `clan webui` command.
Start the web ui with
```bash
clan webui --reload --no-open --log-level debug --populate --emulate
```
- The `--populate` flag will automatically populate the database with dummy data
- To look into the endpoints open up a swagger instance by visiting: http://localhost:2979/docs
- The `--emulate` flag will automatically run servers the database with dummy data for the fronted to communicate with (ap, dlg, c1 and c2)
- To look into the emulated endpoints go to http://localhost:2979/emulate
# Building a Docker Image
To build a docker image of the frontend and backend be inside the `pkgs/clan-cli` folder and execute:
```bash
nix build .#clan-docker
```
This will create a symlink directory called `result` to a tar.gz docker file. Import it by executing:
```bash
docker load < result
```
And then run the docker file by executing:
```bash
docker run -p 127.0.0.1:2979:2979 clan-docker:latest
```
# Uploading a Docker Image
Login to the tu docker image server
```bash
docker login git.tu-berlin.de:5000
```
Tag the imported image
```bash
docker image tag clan-docker:latest git.tu-berlin.de:5000/internet-of-services-lab/service-aware-network-front-end:latest
```
Push the image to the git registry
```bash
docker image push git.tu-berlin.de:5000/internet-of-services-lab/service-aware-network-front-end:latest
```
Pull the image
```bash
docker pull git.tu-berlin.de:5000/internet-of-services-lab/service-aware-network-front-end:latest
```
Run the image
```bash
docker run -p 127.0.0.1:2979:2979 git.tu-berlin.de:5000/internet-of-services-lab/service-aware-network-front-end:latest
```
# Auto Generating a Python Client
For the tests we automatically generate a python client for the API endpoints. To do this execute while inside the `pkgs/clan-cli` folder:
```bash
./bin/gen-python-client
```
This will replace the folder
`tests/openapi_client`.
# API Documentation
Api documentation can be found in the folder `pkgs/clan-cli/tests/openapi_client/docs/`
For Entity object go to [tests/openapi_client/docs/EntityCreate.md](tests/openapi_client/docs/EntityCreate.md)
# Debugging
When working on the backend of your project, debugging is an essential part of the development process. Here are some methods for debugging and testing the backend of your application:
## Test Backend Locally in Devshell with Breakpoints
To test the backend locally in a development environment and set breakpoints for debugging, follow these steps:
1. Run the following command to execute your tests and allow for debugging with breakpoints:
```bash
rm -f sql_app.db && pytest -s
```
You can place `breakpoint()` in your Python code where you want to trigger a breakpoint for debugging.
## Test Backend Locally in a Nix Sandbox
To run your backend tests in a Nix sandbox, you have two options depending on whether your test functions have been marked as impure or not:
### Running Tests Marked as Impure
If your test functions need to execute `nix build` and have been marked as impure because you can't execute `nix build` inside a Nix sandbox, use the following command:
```bash
nix run .#impure-checks
```
This command will run the impure test functions.
### Running Pure Tests
For test functions that have not been marked as impure and don't require executing `nix build`, you can use the following command:
```bash
nix build .#checks.x86_64-linux.clan-pytest --rebuild
```
This command will run all pure test functions.
### Inspecting the Nix Sandbox
If you need to inspect the Nix sandbox while running tests, follow these steps:
1. Insert an endless sleep into your test code where you want to pause the execution. For example:
```python
import time
time.sleep(3600) # Sleep for one hour
```
2. Use `cntr` and `psgrep` to attach to the Nix sandbox. This allows you to interactively debug your code while it's paused. For example:
```bash
psgrep -a -x your_python_process_name
cntr attach <pid>
```
These debugging and testing methods will help you identify and fix issues in your backend code efficiently, ensuring the reliability and robustness of your application.
## Run Web UI in VSCode
Useful for vscode run and debug option
```bash
python -m clan_cli.webui --reload --no-open
```
Add this `launch.json` to your .vscode directory to have working breakpoints in your vscode editor.
```json
{
"version": "0.2.0",
"configurations": [
{
"name": "Clan Webui",
"type": "python",
"request": "launch",
"module": "clan_cli.webui",
"justMyCode": true,
"args": ["--reload", "--no-open", "--log-level", "debug"]
}
]
}
```