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Flask Endpoints for Data Set Management and Retrieval

Project description

Flask Data Sets

Flask Endpoints for Data Set Management and Retrieval

  1. Example Usage
  2. Options

Example Usage

from frappyflaskdataset import register_endpoints
from frappyflaskauth import check_login_state
from flask import Flask

app = Flask(__name__)
# create store instances for data sets
data_store = ...
# register the endpoints
register_endpoints(app, data_store, options={
    "manage_permission": "manage",
    "login_check_function": check_login_state,
})

Options

Options for the register_endpoints function are:

  • api_prefix - default /api/data-sets - is the prefix under which the endpoints will be registered. This should match the prefix used in the front-end.
  • manage_permission - default None - the permission required to manage data sets (upload, update, delete), if None is provided the user just needs to be logged in.
  • get_permission - default None - the permission required to fetch data sets via the API. This can be different from the manage_permission.
  • data_folder - default _data - the local directory where to store data files (images primarily). This is relative to your applications root directory (from where you execute the start command)
  • login_check_function - default None - provide a function that performs authentication and uses Flask's abort in case the login / permission check fails. The function has 1 parameter for the required permission. You can use check_login_state from the frappyflaskauth package.
  • allow_public_binary_access - default False - a boolean flag that, when set to True will allow even unauthenticated users to download the files from all BINARY data sets and IMAGE data sets. This allows to directly include <img src="/api/data-sets/<id>/image"> without running into authentication issues (requires using ImageView)

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