flask-api | Boilerplate from Python Flask Api with MongoDB | REST library
kandi X-RAY | flask-api Summary
kandi X-RAY | flask-api Summary
This project simplifies the creation of a Python project with the Flask framework, database migrations and authentication with OAuth2.
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Top functions reviewed by kandi - BETA
- Wrapper for pagination
- Return the current limit value
- Returns the default limit
- Return current page
- Create a new client
- Get repository
- Create an instance of the model
- Update a user
- Find object by pk
- Create the Flask application
- Configure OAuth application
- Create a new client
- Run migrations
- Get user
- Delete user
- Create a new instance
- Set options
- Authenticate a user
flask-api Key Features
flask-api Examples and Code Snippets
Community Discussions
Trending Discussions on flask-api
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
What I am trying to achieve.
Run a python script saved On pythonanywhere host from google sheets on a button press.
Check the answer by Dustin Michels
Task of Each File?
app.py: contains code of REST API made using Flask.
runMe.py: contains code for that get values from(google sheet cell A1:A2). And sum both values send sum back to A3.
main.py: contains code for a GET request with an argument as name(runMe.py).filename may change if the user wants to run another file.
I Made an API by using Flask.it works online and offline perfectly but still, if you want to recommend anything related to the app.py.Code Review App.py
...ANSWER
Answered 2021-Apr-10 at 18:26You either haven't installed the gspread package on your current python environment or it is installed somewhere (e.g. in a diff. virtual env) and your script cant find it.
Try installing the package inside the environment your running your script in using pip3:
QUESTION
I have installed kube-prometheus-stack as a dependency in my helm chart on a local Docker for Mac Kubernetes cluster v1.19.7.
The myrelease-name-prometheus-node-exporter service is failing with errors received from the node-exporter daemonset after installation of the helm chart for kube-prometheus-stack is installed. This is installed in a Docker Desktop for Mac Kubernetes Cluster environment.
release-name-prometheus-node-exporter daemonset error log
...ANSWER
Answered 2021-Apr-01 at 08:10This issue was solved recently. Here is more information: https://github.com/prometheus-community/helm-charts/issues/467 and here: https://github.com/prometheus-community/helm-charts/pull/757
Here is the solution (https://github.com/prometheus-community/helm-charts/issues/467#issuecomment-802642666):
[you need to] opt-out the rootfs host mount (preventing the crash). In order to do that you need to specify the following value in values.yaml file:
QUESTION
I have installed kube-prometheus-stack as a dependency in my helm chart on a local docker for Mac Kubernetes cluster v1.19.7. I can view the default prometheus targets provided by the kube-prometheus-stack.
I have a python flask service that provides metrics which I can view successfully in the kubernetes cluster using kubectl port forward.
However, I am unable to get these metrics displayed on the prometheus targets web interface.
The kube-prometheus-stack documentation states that Prometheus.io/scrape does not support annotation-based discovery of services. Instead the the reader is referred to the concept of ServiceMonitors and PodMonitors.
So, I have configured my service as follows:
...ANSWER
Answered 2021-Mar-30 at 17:33Prometheus custom resource definition has a field called serviceMonitorSelector. Prometheus only listens to those matched serviceMonitor. In case of helm deployment it is your release name.
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):
QUESTION
I am trying Firebase to authenticate users for a website that was initially built on Flask (using the flask login workflow with a postgres DB). However, I am not sure that I have a correct understanding of what would be considered best practices when using Firebase.
I read through this article, which I think has led me down a suboptimal path when it comes to actually managing users.
My questions are:
- Should all the Firebase authentication be handled in the javascript?
- If so, should I use the
request.headerson the backend to verify the identity of the user?
Any tutorials (aside from the Firenotes one, which I am working through) much appreciated.
...ANSWER
Answered 2020-Nov-25 at 15:53Should all the Firebase authentication be handled in the javascript?
No, it doesn't have to be JavaScript. But in general, you'll find that most apps using one of the existing Firebase Authentication providers handle the sign-in of the user in their client-side code, with calls to the authentication server.
If so, should I use the request.headers on the backend to verify the identity of the user?
When calling REST APIs Firebase itself passes the ID token of the authenticated user in the Authorization header, so that's a valid approach indeed. On the server you can then verify that the ID token is valid, and decide what data this user has access to.
QUESTION
I'm not sure if this is even possible, but I'm trying to discover patterns that would make my code more maintainable/extendable. Right now I don't like that I have to call a token decode function in every request method view function, I find the @before_request decorator being attached to a blueprint super handy but I haven't figured out how to mutate the request body so that the function can just "magically" expect the decrypted payload in the request body. If this is not intended to be permitted I can totally understand that as well from a software perspective...
I'm looking for something like this :-
Edit incoming request body payloads in flask api
Currently my setup is :
...ANSWER
Answered 2020-Sep-17 at 12:37You can store the decoded token in the flask.g object in your before_action to make it available for the lifetime of that request. https://flask.palletsprojects.com/en/1.1.x/appcontext/
QUESTION
I have a basic flask-restx app (main.py) as follows:
ANSWER
Answered 2020-Sep-09 at 08:00On browser, it always use GET method.
For POST method, you can use POSTMAN tool at: https://www.postman.com
Or use curl on terminal:
QUESTION
I am trying to build a Docker application that uses Python's gensim library, version 3.8.3, which is being installed via pip from a requirements.txt file.
However, Docker seems to have trouble while trying to do RUN pip install -r requirements.txt
My Requirement.txt for reference -
...ANSWER
Answered 2020-Aug-10 at 18:02To install numpy on an alpine image, you typically need a few more dependencies:
QUESTION
I'm trying to setup a Gunicorn server inside an Ubuntu:latest Docker image.
When launching on Docker, I have the following output
...ANSWER
Answered 2020-Aug-01 at 14:58From the docker documentation for the EXPOSE directive:
The EXPOSE instruction does not actually publish the port. It functions as a type of documentation between the person who builds the image and the person who runs the container, about which ports are intended to be published. To actually publish the port when running the container, use the -p flag on docker run to publish and map one or more ports, or the -P flag to publish all exposed ports and map them to high-order ports.
So since gunicorn is listening on port 500, you'll want to run your container like this:
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