Skip to main content

Python implementation of Node JSON Server (Flask as backend)

Project description

Python JSON Server

Python implementation of Node JSON Server (Flask as backend).

GitHub tag (latest SemVer) PyPI PyPI - License PyPI - Wheel

demonstraction

About

Make a full REST API without coding!
pyjserver is a python implementation of Node JSON Sever, which creates a full REST api (with GET, POST, PUT and DELETE methods) based on json file.

What's Next

  • PATCH HTTP method.
  • Filter data with GET HTTP method.
  • Pagination data with GET HTTP method.

Install

Python JSON Server library is on PyPi repository, so it can be installed with pip.

>>> pip install pyjserver

Get stated

After install pyjserver, create db.json file with the endpoints and data.

{
  "python-libs": [
    {
      "id": 1,
      "name": "pyjserver",
      "version": "1.0.0"
    },
    {
      "id": 2,
      "name": "flask",
      "version": "1.1.0"
    },
    {
      "id": 3,
      "name": "flask-restful",
      "version": "0.3.8"
    }
  ]
}

Run the pyjserver cli command.

>>> python -m pyjserver my-server ./db.json

OR

>>> python3 -m pyjserver my-server ./db.json

And the follow output will be displayed:

 * Serving Flask app "my-server" (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://localhost:5000/ (Press CTRL+C to quit)

Now to test the API, if you go to http://localhost:5000/python-libs you will get the same json in db.json.

[{"id":1,"name":"pyjserver","version":"1.0.0"},{"id":2,"name":"flask","version":"1.1.0"},{"id":3,"name":"flask-restful","version":"0.3.8"}]

With the same URL, you can send POST requests to add, PUT requests to edit and DELETE requests to remove from json file.

TIP for each json key, it will be created an endpoint with GET, POST, PUT and DELETE HTTP methods. You can also see all available endpoints in root url (http://localhost:5000/).

{
   "endpoints" : [
      {
         "name" : "python-libs",
         "route" : "/python-libs"
      }
   ],
   "methods" : [
      "GET",
      "POST",
      "PUT",
      "DELETE"
   ]
}

JSON file schema

Format: JSON object with a list of JSON objects.

Main JSON key: name of the endpoint
JSON list value: list with all records for the endpoint. To start with no data, just place an empty list []
JSONs inside the list: each record for the endpoint. DO NOT FORGET TO ADD SEQUENTIAL ID KEY FOR EACH RECORD

{
  "endpoint-1": [
    {
      "id": 1,
      "name": "data 01"
    },
    {
      "id": 2,
      "name": "data 02"
    }
  ],
  "endpoint-2": [
    {
      "id": 1,
      "name": "another data 01"
    }
  ],
  "endpoint-3": []
}

So the JSON above will create 3 endpoints /endpoint-1 (with 2 record data), endpoint-2 (with 1 record data) and endpoint-3 (with no record data). The home page for this json file will display:

{
   "endpoints" : [
      {
         "name" : "endpoint-1",
         "route" : "/endpoint-1"
      },
      {
         "name" : "endpoint-2",
         "route" : "/endpoint-2"
      },
      {
         "name" : "endpoint-3",
         "route" : "/endpoint-3"
      }
   ],
   "methods" : [
      "GET",
      "POST",
      "PUT",
      "DELETE"
   ]
}

HTTP methods

For each endpoint created, is allowed GET, POST, PUT and DELETE HTTP method.

  • GET
>>> curl http://localhost:5000/endpoint-1/
[{"id":1,"name":"data 01"},{"id":2,"name":"data 02"}]
  • POST
>>> curl -d '{"name": "data 03"}' -H 'Content-type: application/json' -X POST http://localhost:5000/endpoint-1/
{"id":3,"name":"data 03"}

>>>  curl http://localhost:5000/endpoint-1/
[{"id":1,"name":"data 01"},{"id":2,"name":"data 02"},{"id":3,"name":"data 03"}]
  • PUT
>>> curl -d '{"name": "data 02 edited"}' -H 'Content-type: application/json' -X PUT http://localhost:5000/endpoint-1/2
{"id":2,"name":"data 02 edited"}

>>> curl http://localhost:5000/endpoint-1/
[{"id":1,"name":"data 01"},{"id":2,"name":"data 02 edited"},{"id":3,"name":"data 03"}]
  • DELETE
>>> curl -X DELETE http://localhost:5000/endpoint-1/2
{}

>>> curl http://localhost:5000/endpoint-1/
[{"id":1,"name":"data 01"},{"id":3,"name":"data 03"}]

REMEMBER: all the data is inside the db.json file, so any change with the HTTP method it will also change the file. Consequently, if change the file, it will change the API.

NOTE: if you edit the json file and add an endpoint with pyjserver running, it will be necessary to restat the application to it load the new endpoint. But it is not necessary if you edit the file and add new records.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyjserver-0.0.2.tar.gz (8.0 kB view details)

Uploaded Source

File details

Details for the file pyjserver-0.0.2.tar.gz.

File metadata

  • Download URL: pyjserver-0.0.2.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.6.10

File hashes

Hashes for pyjserver-0.0.2.tar.gz
Algorithm Hash digest
SHA256 6057a55c2f0c2e9e56607198f87010a9731883410c9671a1befbeb685eb9c0f3
MD5 7a435c7f0a7b5f9926e165adbc8ae715
BLAKE2b-256 942b81973a69b55182ba4efa18d9d8703f9baafee84b2a342e7215abb130d747

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page