apispec | Currently supports | REST library
kandi X-RAY | apispec Summary
kandi X-RAY | apispec Summary
A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification)..
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Convert field to dict
- Make the min and max attributes
- Convert a marshmallow field to a dictionary
- Makes a list of types
- Convert nested nested fields to properties
- Resolve a marshmallow schema
- Returns a unique schema name
- Make a schema key from a schema instance
- Convert schema to JSON Schema
- Warn if schema_key already exists
- Convert marshmallow field to dict
- Return a dict representation of a marshmallow field
- Find the version number
- Convert field to properties
- Converts a marshmallow field to a dictionary
- Convert marshmallow marshmallow
- Load operations from a docstring
- Removes whitespace from a string
- Load yaml from a docstring
- Trim a docstring
- Generate a header
- Resolve parameter
- Resolve response
- Wrapper for operations
- Resolve a schema name
- Read the content of a file
apispec Key Features
apispec Examples and Code Snippets
Lines of Code : 67License : Permissive (MIT)
Copyspec.to_dict()
# {
# "info": {
# "title": "Swagger Petstore",
# "version": "1.0.0"
# },
# "swagger": "2.0",
# "paths": {
# "/random": {
# "get": {
# "description": "A cute furry animal endpoint.",
# "response import featherweight_api
def myfn(x, c):
"""Example function"""
return = x*x + c
featherweight_api.register(myfn)
featherweight_api.run() # run the server on localhost:5000
http://localhost:5000/myfn?x=2&c=10
->
{"result": 14.0,
from apispec import APISpec
from marshmallow import Schema, fields
from marshmallow_oneofschema import OneOfSchema
from apispec_oneofschema import MarshmallowPlugin
class TreeSchema(Schema):
leaves = fields.Int(required=True)
class FlowerSchema OAUTH_PROVIDERS = [{
"name": "github",
"icon": "fa-github",
"remote_app": {
"client_id": "" ,
"client_secret": "",
"api_base_url": "https://github.com",
"request_token$ which python3
/usr/bin/python3
$ /usr/bin/python3 -V
Python 3.8.2
$ /usr/bin/python3 -m venv airflow-venv
$ source ./airflow-venv/bin/activate
(airflow-venv) $ python -V
Python 3.8.2
(airflow-venv) $ pip -V
pip 19.2.3 from /path/to/airimport login_file
@app.route('/login', methods=['POST'])
def login():
...
login.__doc__ = login_file.login_doc.__doc__
elif hasattr(klass, '__origin__'):
if klass.__origin__ == list:
return _deserialize_list(data, klass.__args__[0])
if klass.__origin__ == dict:
return _deserialize_dict(data, klass.__args__[1])
xcode-select --install
@event.listens_for(Engine, "connect")
def set_sqlite_pragma(dbapi_connection, connection_record):
cursor = dbapi_connection.cursor()
cursor.execute("PRAGMA foreign_keys=ON")
cursor.close()
pip install "apache-airflow[crypto]"
Community Discussions
Trending Discussions on apispec
QUESTION
I am using Airflow 2.0 and have installed the slack module through requirements.txt in MWAA. I have installed all the below packages, but still, it says package not found
...ANSWER
Answered 2022-Apr-10 at 04:33By default, MWAA is constrained to using version 3.0.0 for the package apache-airflow-providers-slack. If you specify version 4.2.3 in requirements.txt, it will not be installed (error logs should be available in CloudWatch). You'll have to downgrade to version 3.0.0.
apache-airflow-providers-slack (constraints.txt)
OR
Add constraints file to the top of requirements.txt to use version 4.2.3 of apache-airflow-providers-slack.
Add the constraints file for your Apache Airflow v2 environment to the top of your requirements.txt file.
QUESTION
I'm using aws-cdk-lib version 2 to create a CloudFormation stack. I define my API as follows:
ANSWER
Answered 2022-Jan-18 at 09:25Use Ref.
AWS::ApiGatewayV2::Api CloudFormation docs: Ref: When you pass the logical ID of this resource to the intrinsic Ref function, Ref returns the API ID, such as a1bcdef2gh.
QUESTION
I am building out a new endpoint in my application which uses express-openapi-validator as validator middleware.
ANSWER
Answered 2022-Jan-10 at 19:10I suppose you need to use bodyParser.json() before using OpenApiValidator.middleware:
QUESTION
I need to document an API written in pure Flask 2 and I'm looking for what is a consolidated approach for doing this. I found different viable solutions but being new to Python and Flask I'm not able to choose among them. The solutions I found are:
- https://github.com/marshmallow-code/apispec
- https://github.com/jmcarp/flask-apispec
- https://github.com/marshmallow-code/flask-smorest
In order to separate the different API endpoints I use the Flask blueprint. The structure of a MWE is as follows:
I first defined two simple domain objects, Author and Book.
...ANSWER
Answered 2021-Jun-08 at 16:52I encourage you to switch your project to FastAPI, it isn't much different or more difficult than Flask.
FastAPI docs about generating OpenAPI schema
It will not only allow you to generate OpenAPI docs / specification easily. It is also asynchronous, much faster and modern.
See also FastAPI Alternatives, Inspiration and Comparisons to read about differences.
Especially this citation from link above should explain why doing what you try to do may not be the best idea:
Flask REST frameworks
There are several Flask REST frameworks, but after investing the time and work into investigating them, I found that many are discontinued or abandoned, with several standing issues that made them unfit.
QUESTION
I have Airflow deployed in virtual env and in case I try to execute PythonVirtualenvOperator with import of the Airflow module (to get Variables for example) it gives me the AttributeError. Guess I do not fully understand how Airflow executes VirtualenvOperator, and therefore what to do to overcome it, so any suggestions and insights will be highly appreciated
My test DAG code
...ANSWER
Answered 2021-Apr-19 at 16:29It seems that you are confusing the use-cases for PythonVirtualenvOperator and PythonOperator.
If you simply want to run a Python callable in a task (callable_virtualenv() in your case) you can use PythonOperator. In this case, it does not matter if you installed Airflow in a virtual environment, system wide, or using Docker.
What happens in your code is the following: PythonVirtualenvOperator creates another virtual environment (which is completely unrelated to the one in which you run Airflow), installs Airflow into it, and tries to import Variable. But this another Airflow installation is not configured and that is why you get those exceptions. You could set the AIRFLOW_HOME environment variable for this second Airflow installation to the same directory as used by the first Airflow installation, and this should actually work, but it looks like an overkill to me.
So, what you can do is install colorama into the same environment in which you installed Airflow and replace PythonVirtualenvOperator by PythonOperator.
BTW, those print() inside the callable would be redirected into a log file and not printed to terminal, so it probably does not make much sense to use colorama with them.
QUESTION
I'm trying to configure OAuth authentication with GitHub apis, on Superset 1.0.1. Following the docs, I added the following lines in superset_config.py
ANSWER
Answered 2021-Mar-31 at 10:48Maybe I shouldn't have posted the question so early, since it was a very simple error ...
The OAUTH_PROVIDERS variable should be an array!
QUESTION
I'm trying to find some help installing apache-airflow.
I am on MacOS 10.15.7, Python version 3.8.2, and I keep getting an error:
ERROR: Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly
I have tried using earlier versions of pip and python to no avail.
Does anyone know what I can do in this situation? I have looked at all the stack overflow questions that popped up with these search terms but none have presented a solution that worked for me so far.
Any help would be much appreciated.
...ANSWER
Answered 2021-Mar-04 at 00:26I am on MacOS 10.15.7 Python version 3.8.2
I'm guessing you used the Python 3 bundled/pre-installed with macOS Catalina.
QUESTION
I'm using apispec in order to generate openapi specification (swagger) to be used for further utilization in AWS.
I was trying to optimize my current file by creating another file that contains functions with docstrings related to the routes implemented. I'm still not sure if it is possible or not but what I'm sure about is that it didn't worked for me. Here's what I've implemented so far:
The function below login_doc() inside the file login_file.py contains the docstring related to the login route.
...ANSWER
Answered 2021-Mar-02 at 20:08While I doubt that it aids readability, if you define the docstring outside the function, you can set the docstring after defining the function, like so:
QUESTION
I have used apispec and flask-swagger-ui with flask.
The flask route returns a html page but on swagger UI I could only see the html code not the actual page.
Is there any way to get the html page displayed on swagger UI.
the flask code along with the APIspec documentation
swagger UI response
expected response
...ANSWER
Answered 2021-Feb-28 at 18:57OpenAPI describes the text/code response your API will return. Swagger UI is correctly displaying the body of your response, not how that response will be interpreted and displayed by a particular consumer of your API (in this case a web browser). What you are trying to do is outside the intended scope of this tool. See this issue in which the developers rejected this idea for reasons of security.
Alternative:Use the description property to include a link to additional documentation that includes images or screenshots of what this response would look like.
QUESTION
I notice that @use_kwargs in flask-apispec changes the response content-type. In the following "hello world" example, The use of @use_kwargs changes the response content-type from text/html to application/json. I find it a bit surprising since the flask-apispec doc doesn't mention it and I wouldn't expect injecting args also changes the response type:
ANSWER
Answered 2021-Jan-13 at 08:02I'm not entirely sure why using @use_kwargs changes the content-type. By looking at the source code, it seems to return a dict, judging by this function (that is called by activate). So my best guess is that Flask when executing app.route jsonifys that dict, as that the default behaviour. At that point, the content-type is changed to application/json. However, hello_world is executed after use_kwargs, finally returning a string, that is, "Hello World!".
In any case, I don't think this behaviour is actually intended by flask-apispec.
You can change the content-type of your response (and any other field), creating a Flask.Response object with make_reponse and then setting its content-type to "text/html" (however, this is set by default when passing a string to make_response so it's not necessary):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install apispec
You can use apispec 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.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
