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https://github.com/iwpnd/fastapi-tile38
Interact with Tile38 in-memory geodatabase in your FastAPI
https://github.com/iwpnd/fastapi-tile38
fastapi fastapi-crud fastapi-template pyle38 tile38
Last synced: about 2 months ago
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Interact with Tile38 in-memory geodatabase in your FastAPI
- Host: GitHub
- URL: https://github.com/iwpnd/fastapi-tile38
- Owner: iwpnd
- Created: 2021-04-15T20:38:16.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-06-11T10:07:48.000Z (3 months ago)
- Last Synced: 2024-06-11T11:31:41.164Z (3 months ago)
- Topics: fastapi, fastapi-crud, fastapi-template, pyle38, tile38
- Language: Python
- Homepage:
- Size: 714 KB
- Stars: 22
- Watchers: 3
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
README
FastAPI-Tile38
Showcase using Tile38 via pyle38 in a FastAPI application.
Report Bug
·
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Table of Contents
## About The Project
Showcase of using [Tile38](https://github.com/tidwall/tile38) with [Pyle38](https://github.com/iwpnd/pyle38) in a [FastAPI](https://github.com/tiangolo/fastapi)
application. Can be used as is, or be extended upon with other methods in the [pyle38 repertoire](https://github.com/iwpnd/pyle38#commands) of commands.
### Built With
- [FastAPI](https://github.com/tiangolo/fastapi)
- [Pyle38](https://github.com/iwpnd/pyle38)
- [Tile38](https://github.com/tidwall/tile38)
- [pydantic](https://github.com/samuelcolvin/pydantic/)
## Getting Started
### Installation
1. Clone and install
```sh
git clone https://github.com/iwpnd/fastapi-tile38.git
poetry install
```
2. Setup environment
```sh
cp .env.dist .env
```
3. Start your local stack
```python
docker-compose up
```
4. Test it!
```sh
pytest . -vv -s
```
## Usage
Once the application is started you can checkout and interact with it via on [localhost:8001/docs](http://localhost:8001/docs).
Or you can use it with [http](https://httpie.io/)/[curl](https://curl.se/):
```sh
echo '{ "data": { "type": "Feature", "geometry": {"type": "Point", "coordinates": [13.37, 52.25]}, "properties": {"id": "truck"}}}' \
| http post http://localhost:8001/vehicle x-api-key:test
> {
"elapsed": "37.5µs",
"ok": true
}
http get http://localhost:8001/search/within lat==52.25 lon==13.37 radius==1000 \
x-api-key:test
> {
"data": [
{
"id": "truck",
"object": {
"geometry": {
"coordinates": [
13.37,
52.25
],
"type": "Point"
},
"properties": {
"id": "truck"
},
"type": "Feature"
}
}
]
}
```
Or you use it with [httpx](https://www.python-httpx.org/)/[requests](https://docs.python-requests.org/en/master/):
```python
import httpx
vehicle = {
"type": "Feature",
"geometry": {"type": "Point", "coordinates": [13.37, 52.25]},
"properties": {"id": "truck"},
}
# store a vehicle
r = httpx.post(
url="http://localhost:8001/vehicle",
headers={"x-api-key":"test"},
json={"data": vehicle}
)
print(r.json())
> {
"elapsed": "70.8µs",
"ok": true
}
# get vehicle in a radius around a location
r = httpx.get(
url="http://localhost:8001/search/within",
headers={"x-api-key":"test"},
params={"lat":52.25,"lon":13.37,"radius":1000}
)
print(r.json())
> {
"data": [
{
"id": "truck",
"object": {
"geometry": {
"coordinates": [
13.37,
52.25
],
"type": "Point"
},
"properties": {
"id": "truck"
},
"type": "Feature"
}
}
]
}
```
You get the idea. And can use the rest.
Inputs are being validated at runtime with [pydantic](https://pydantic-docs.helpmanual.io/).
## License
Distributed under the MIT License. See `LICENSE` for more information.
## Contact
Benjamin Ramser - [@imwithpanda](https://twitter.com/imwithpanda) - [email protected]
Project Link: [https://github.com/iwpnd/fastapi-tile38](https://github.com/iwpnd/fastapi-tile38)