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kandi X-RAY | library-python Summary
kandi X-RAY | library-python Summary
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library-python Key Features
library-python Examples and Code Snippets
Community Discussions
Trending Discussions on library-python
QUESTION
Some things are very easy to do with the gcloud
CLI, like:
ANSWER
Answered 2021-May-16 at 02:35Add the command line option --log-http
to see the REST API parameters.
There is no simple answer as the CLI changes over time. New features are added, removed, etc.
QUESTION
I have a PyQt5 application with a Google sign-in which is implemented using oauth2client. And the sign in page is shown in an embedded browser using QWebEngineView
. But with Google blocking sign in workflows using embedded browsers from Jan 4, 2021, there will be a change required in my application to open system browser instead and then receive the authorization response from that. For that, I am using google-auth-oauthlib, which is also used in the Google Python Quickstart Documentation.
I have created a small POC that just implements this workflow, but I am facing a couple of issues:
The sign in page is opened in a new browser window or a tab. But this might not be a great UX as the user has to close the browser after signing in and then get back to the application. Opening a popup browser seems like a better UX here. I checked the source code of
run_local_server
method that is responsible for opening the browser, and they seem to use thewebbrowser
module, which unfortunately does not have a way of opening a popup.If the user closes the browser opened using
run_local_server
method without signing in, the application that is calling it just freezes and needs to be force quit. I did not notice any console errors as well. Is there even a way to handle this with the library that I am using?
Here is the minimum working example:
...ANSWER
Answered 2020-Dec-04 at 03:06QWebEngineView can be used as a browser for authentication but you must set a valid user-agent. On the other hand, google-auth-oauthlib requests are blocking so they must be executed in a different thread and notify the result through signals:
QUESTION
Under Google Cloud Run, you can select which service account your container is running. Using the default compute service account fails to generate a signed url.
The work around listed here works on Google Cloud Compute -- if you allow all the scopes for the service account. There does not seem to be away to do that in Cloud Run (not that I can find).
https://github.com/googleapis/google-auth-library-python/issues/50
Things I have tried:
- Assigned the service account the role:
roles/iam.serviceAccountTokenCreator
- Verified the workaround in the same GCP project in a Virtual Machine (vs Cloud Run)
- Verified the code works locally in the container with the service account loaded from private key (via json file).
ANSWER
Answered 2020-Oct-06 at 22:16You can't sign urls with the default service account.
Try your service code again with a dedicated service account with the permissions, and see if that resolves your error
References and further reading:
QUESTION
I am trying a NN model using this example. I am fitting a list of values to a NN model. However, I am getting an AttributeError
. This has been asked before and has been answered. Unfortunately, it is not working for me. As shown in the example, I created the following,
ANSWER
Answered 2017-Aug-09 at 06:25model.fit() does not return the Keras model, but a History object containing loss and metric values of your training. So in this code:
QUESTION
I've been finding such a mix of code examples. But nothing with a maintained library (google-auth) + full working example. google-api-python-client
and oauth2client
are no longer supported (https://github.com/googleapis/google-api-python-client/issues/651).
Here's a working example with deprecated libraries, but I'd like to see some examples that allow full access to the api (searching by albumId currently doesn't work with this library):
...ANSWER
Answered 2019-Dec-05 at 09:12- You want to use
google_auth
instead ofoauth2client
, becauseoauth2client
is deprecated. - You have already been able to use Photo API.
If my understanding is correct, how about this answer? Please think of this as just one of several possible answers.
For example, the sample script for authorizing can be seen at the Quickstart of Drive API with python. You can see the method for installing the library. Using this, your script can be modified as follows.
Modified script:QUESTION
I was following the tutorial by Jason Brownlee, and finished section 2. Where his code apparently gave, as a result,
Baseline: 31.64 (26.82) MSE
mine gave
Results: -59.54 (45.45) MSE
I am intrigued by the negative result, since it's supposed to be the price of square meters (the case study is Boston housing data).
His code is as follows:
...ANSWER
Answered 2017-Nov-28 at 01:25Not really an answer, but I need the space.
When I looked into this, I found that the now-depreciated sklearn.cross_validation
is apparently supposed to return a negative MSE, based on the idea that greater numbers always indicate better results. See here for a discussion among the developers, especially this comment for a particularly unintuitive result. It's also worth nothing that sklearn.metrics.make_scorer takes a greater_is_better
flag that lets the user customize this.
However, the non-depreciated sklearn.model_selection.cross_val_score is not negating MSE, including when I run it. My guess was that the Keras wrapper was messing things up by negating the no-longer-negated MSE, but I can't find any documentation or anything in the Keras code to that effect, and somehow Paddy is running your code and getting the correct result. I tried it again with scikit-learn (0.19.1) and tensorflow (1.4.0), and it's still negative.
So unfortunately my recommendation is to accept that the actual MSE is the negation of what you're getting, or to build your model without Keras and see if that works. You could also try raising an issue with the Keras devs on GitHub.
QUESTION
I know just enough devops to be dangerous. I've successfully deployed a VERY simple python flask app to App Engine that basically publishes received post data as a message to PubSub. It is almost identical to Google's sample code to do so. Only difference is it uses a service account I push with the app repository to access PubSub to circumvent this issue.
Works very well so far, but I've started seeing a very small number of errors around starting a new thread in threading.py
:
1)
...ANSWER
Answered 2018-Jul-17 at 19:21it looks like publisher.publish(topic_path, data=data)
is an async operation, returning a concurrent.futures.Future
object
Have you trying calling the Future's result()
? https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.Future.result
This will block until the future object is successful, fails, or timesout.
You could then forward that result as your HTTP response.
Hopefully, the result object will give you more information about the error.
QUESTION
I am trying to validate a JWT generated by Google IAP based on this example. I am using App Engine and Python 3.7 and that means I can't use the same library as the example since it won't work with App Engine.
Looking for alternatives I tried using google.auth but it is not working with any JTW. I created this token as an example using the tool in https://jwt.io::
...ANSWER
Answered 2019-Apr-24 at 03:09You need to delete this sections -----BEGIN RSA PUBLIC KEY-----
and -----END PUBLIC KEY-----
from key before
QUESTION
When I try to import firebase_admin
in python 2.7
I get the error:
ImportError: No module named google.auth
This is the DockerFile I'm using.
I've installed Python from the source code using
...ANSWER
Answered 2019-Apr-25 at 19:50Upon building your docker image: docker build -t test -f Dockerfile .
I had different results than what you described.
- The result of
echo $PYTHONPATH
returned nothing - Running the python interpreter located at
/usr/local/bin/python
allowed me to import firebase_admin
For reference:
QUESTION
I can't find a way to have a working signed url on Google App Engine Standard environment with Python3.7.
I have look at the documentation here : https://cloud.google.com/storage/docs/access-control/signing-urls-manually
Within a Google App Engine application, you can use the App Engine App Identity service to sign your string.
But the App Engine App Identity rely on google.appengine
package, that is not availalble on python 3.7 env as explain here
Proprietary App Engine APIs are not available in Python 3. This section lists recommended replacements.
The overall goal is that your app should be fully portable and run in any standard Python environment. You write a standard Python app, not an App Engine Python app. As part of this shift, you are no longer required to use proprietary App Engine APIs and services for your app's core functionality. At this time, App Engine APIs are not available in the Python 3.7 runtime.
All the api on sdk rely on google.appengine
and raise an exception on python 3.7 env : EnvironmentError('The App Engine APIs are not available.')
raise here
that rely on proprietary api :
ANSWER
Answered 2019-Apr-25 at 15:31For Python interactions with Google Cloud use Python Client that is supported on App Engine standard Python 3 runtime.
To access Cloud Storage using google-cloud-storage from App Engine Standard:
- Add dependency to the requirements.txt > google-cloud-storage==1.14.0
- Use Storage Client library, authenticating with
storage.Client()
only.
Depending on what you need to achieve, I would also suggest trying different possible approaches:
- Allow anonymous access for public data stored in the bucket.
- For signed URL API call use Method: projects.serviceAccounts.signBlob. Documentation includes examples:
- It is important to grant correct permissions to create tokens for Service account
- You can also check how to use the API - explained on SO.
- This example explains how to implement signing of the bucket URL using python
It is also possible to sign blobs with appengine api using:
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