IoSL/service-aware-frontend
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Fixed testing issue. Improved README
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Luis-Hebendanz
2023-12-09 19:10:11 +01:00
parent 4e0346d0a0
commit 0c08cde34c
3 changed files with 9 additions and 7 deletions
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README.md
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@@ -1,6 +1,6 @@
# 1Service Aware Network Project Repo
# Service Aware Network Project Repo
Welcome to our website repository! This repo is designed to help you and your team build high-quality websites efficiently. We've carefully chosen the technologies to make development smooth and enjoyable. Here's what you can expect from this template:
Welcome to our website repository! This repo is designed to build high-quality websites efficiently. We've carefully chosen the technologies to make development smooth and enjoyable.
**Frontend**: Our frontend is powered by [React NextJS](https://nextjs.org/), a popular and versatile framework for building web applications.
@@ -51,6 +51,7 @@ sudo echo "experimental-features = nix-command flakes" > '/etc/nix/nix.conf'
4. **Clone the Repository and Navigate**:
- Clone this repository and navigate to it.
- If you are under Windows Subystem For Linux (WSL) please clone the repository to the home folder of your Linux. Do NOT clone it onto your Windows machine!
5. **Allow .envrc**:
@@ -72,9 +73,10 @@ sudo echo "experimental-features = nix-command flakes" > '/etc/nix/nix.conf'
- To start the backend server, execute:
```bash
clan webui --reload --no-open --log-level debug
clan webui --reload --no-open --log-level debug --populate
```
- The server will automatically restart if any Python files change.
- The `--populate` flag will automatically populate the database with dummy data
8. **Build the Frontend**:
@@ -194,8 +196,8 @@ If you need to inspect the Nix sandbox while running tests, follow these steps:
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
cntr exec -w your_sandbox_name
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.