webargs | friendly library for parsing HTTP request arguments | Reactive Programming library
kandi X-RAY | webargs Summary
kandi X-RAY | webargs Summary
A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.
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Top functions reviewed by kandi - BETA
- Load JSON or form
- Raise an InvalidJSONError
- Load the form
- Load JSON from request
- Load the form from the request body
- Parse the form body
- Decorator for parsing arguments
- Update args and kwargs
- Handle errors
- Abort an HTTP request
- List users
- Insert a new fixture into the database
- Return a set of all keys in a schema
- Load JSON or form data
- Handle request parsing errors
- Load a querystring proxy
- Creates an application
- Load JSON data
- Load cookies from a request
- Return a callable or raise a ValueError
- Load a form from a request
- Add a value to a date
- Find web exceptions
- Load a JSON request
- Creates a new record
- Find the version number from a file
- Run an app
webargs Key Features
webargs Examples and Code Snippets
from flaskel import webargs
@webargs.query(...)
...
@webargs.payload(...)
...
@webargs.query_paginate()
...
webargs.paginate()
webargs.Field.integer()
webargs.Field.string()
webargs.Field.decimal()
webargs.Field.boolean()
webargs.Field.positive(
from flask import Flask, jsonify, render_template
from flask_restful import Resource, Api
from webargs import fields, validate
from webargs.flaskparser import use_args, use_kwargs, parser, abort
app = Flask(__name__)
api = Api(app)
class Contributi
app.config.from_object('configmodule.ProductionConfig')
from etc import DevelopmentConfig as Config
APP.config.from_object(Config)
from flask_env import MetaFlaskEnv
import os, tempfile
from __init__ import __version__
# pylint: disable=too-few-p
class EStatus(enum.IntEnum):
NEW = 0
MODIFIED = 1
@staticmethod
def from_str(e_status: str):
e_status = e_status.upper()
if e_status in EStatus.__members__:
return EStatus[e_status]
else:
@use_args(ExportSearchSchema(unknown=RAISE), location="query")
import flask_smorest
class Blueprint(flask_smorest.Blueprint):
ARGUMENTS_PARSER = CustomParser()
...
@app.route('/list-keydates/', methods=['GET'])
def list_keydates(vesselname):
intervention_list = []
import pyparsing as pp
# placeholder element that will be used recursively
item = pp.Forward()
# your basic item type - expand as needed to include other characters or types
word = pp.Word(pp.alphas + '_')
list_element = word
# for inst
def view(request):
...
def view(context, request):
...
Community Discussions
Trending Discussions on webargs
QUESTION
I installed pystan
on a python virtual environment using pip install pystan
. I checked the module is listed with pip freeze. but when i run a code with import pystan
. It gives the error that the module is not found.
below is the output from pip freeze command. It shows pystan version 3.3.0
...ANSWER
Answered 2021-Oct-07 at 12:43I found the solution at this link
Apparently the most recent versions of pystan (>= 3) use stan instead of pystan in the import statement, whereas in earlier versions it was just pystan.
if you install pystan (>=3) use import stan
instead of import pystan
QUESTION
The webargs
module allows to describe argument schemas as a pure dictionary or marshmallow dataclass schema:
ANSWER
Answered 2021-Mar-03 at 10:05There is no best practice. It is a matter of preference, really.
Sometimes, people think that a schema is too much code for just just one or two query args and a dict is enough.
I like to use schemas everywhere. I find it more consistent and it allows all schemas to derive from a base schema to inherit Meta parameters.
I don't use marshmallow dataclass, just pure marshmallow, so I always get a dict anyway.
QUESTION
I am trying to figure out ways of validating query string parameters for an API created using AWS API gateway and backed by a Python Lambda function. API Gateway can validate the presence of the required query string parameters. However, I could not find a way for additional validations such as determining if the length of a certain parameter is within some limit (e.g. config_id should be minimum 7 characters long). Such validations are possible for the request body using the API Gateway request validation. Refer this link. However, for the query string paramaters only required/not required validation is possible as it does not use any json schema for validation.
Hence, to overcome this issue, I decided to try the webargs module in Python for validating the query string parameters. It is generally used for request validations for APIs created using Python frameworks such as flask or django. I am using the core parser (Refer webargs doc) as follows:
...ANSWER
Answered 2020-Dec-07 at 19:25webargs Library is mostly used for validating HTTP Requests coming via popular Python frameworks like Flask, Django, Bottle etc. The core Parser that you are trying to use should not be used directly as it does not have the methods like load_json, load_query etc implemented (Source code showing the missing implementation here). There are child class implementations of the core parser for each of the frameworks, but using them on API GW does not make sense.
So it's better to use a simpler json validation library like jsonschema. I've modified your code to use jsonschema instead of webargs as follows -
QUESTION
I have the next enum:
...ANSWER
Answered 2020-Oct-02 at 05:24class EStatus(enum.IntEnum):
NEW = 0
MODIFIED = 1
@staticmethod
def from_str(e_status: str):
e_status = e_status.upper()
if e_status in EStatus.__members__:
return EStatus[e_status]
else:
raise ValueError(f'{e_status} is not a valid EStatus.')
#You can use above from_str like below,
EStatus e_status = EStatus.from_str('NEW')
print(e_status.name)
print(e_status.value)
QUESTION
With Flask 1.1.2, marshmallow 3.6.1 and webargs 6.1.0 all of my arguments are always missing
.
Schema:
...ANSWER
Answered 2020-Jun-21 at 19:10The logic changed in webargs 6.
Before webargs 6, the parser would iterate over the fields of the schema and, by default, search over multiple locations to find the value.
In webargs 6, the parser just passes the data from a single location to the schema. The location defaults to "json"
.
Since you're using query arguments, you need to specify it explicitly:
QUESTION
I have the following flask code
...ANSWER
Answered 2020-Mar-24 at 14:03The argument vesselname
is missing when defining the url, try the following:
QUESTION
In a Flask-RESTful
based API, I want to allow clients to retrieve a JSON response partially, via the ?fields=...
parameter. It lists field names (keys of the JSON object) that will be used to construct a partial representation of the larger original.
This may be, in its simplest form, a comma-separated list:
...ANSWER
Answered 2020-Mar-16 at 13:13Pyparsing has a couple of helpful built-ins, delimitedList
and nestedExpr
. Here is an annotated snippet that builds up a parser for your values. (I also included an example where your list elements might be more than just simple alphabetic words):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
Install webargs
You can use webargs like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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