Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/sauberr/bookings_project_v1
https://github.com/sauberr/bookings_project_v1
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/sauberr/bookings_project_v1
- Owner: Sauberr
- License: mit
- Created: 2023-09-02T14:35:21.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-01-14T15:40:27.000Z (12 months ago)
- Last Synced: 2024-01-14T21:01:27.077Z (12 months ago)
- Language: Python
- Size: 125 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Bookings Project Version 1
The project for study FastApi.
#### Stack:
- [Python](https://www.python.org/downloads/)
- [PostgreSQL](https://www.postgresql.org/)
- [Redis](https://redis.io/)
- [Celery](https://docs.celeryq.dev/en/stable/)
- [Docker](https://www.docker.com/)
- [Prometheus](https://github.com/trallnag/prometheus-fastapi-instrumentator)
- [Grafana](https://grafana.com/)
## Local Developing
All actions should be executed from the source directory of the project and only after installing all requirements.
1. Firstly, create and activate a new virtual environment:
```bash
python3.11 -m venv ../venv
source ../venv/bin/activate
```
2. Install packages:
```bash
pip install --upgrade pip
pip install -r requirements.txt
```
# Hotel booking
This is a repository for a Python backend development course with a focus on learning FastAPI and working with SQLAlchemy, Celery, Redis, Docker, and many other libraries and technologies.
This is a repository for the "With support" and "Personal" tariffs, which assumes the presence of my solutions to practical problems and with comments on the code.
## Run application
The uvicorn web server is used to run FastAPI. The command to run looks like this:
```
uvicorn app.main:app --reload
```
It must be run on the command line, always being in the root directory of the project.
### Celery & Flower
To start Celery use the command
```
celery --app=app.tasks.celery:celery worker -l INFO -P solo
Note that `-P solo` is only used on Windows, as Celery has problems working on Windows.
To start Flower use the command
```
celery --app=app.tasks.celery:celery flower
```
###Dockerfile
To run a web server (FastAPI) inside a container, you need to uncomment the code inside the Dockerfile and have an already running PostgreSQL instance on your machine.
Code to run Dockerfile:
```
docker build .
```
The command is also run from the root directory where the Dockerfile resides.
### Docker compose
To start all services (DB, Redis, web server (FastAPI), Celery, Flower, Grafana, Prometheus), you need to use the docker-compose.yml file and the commands
```
docker compose build
docker compose up
```
Moreover, the `build` command needs to be run only if you changed something inside the Dockerfile, that is, you changed the logic for compiling the image.