Develop Reference

Azure SDK for Python: Copy blobs

For my current Python project I' using the Microsoft Azure SDK for Python.
I want to copy a specific blob from one container path to another and tested already some options, described here.
Overall they are basically "working", but unfortunately the new_blob.start_copy_from_url(source_blob_url) command always leads to an erorr: ErrorCode:CannotVerifyCopySource.
Is someone getting the same error message here, or has an idea, how to solve it?
I was also trying to modify the source_blob_url as a sas-token, but still doesn't work. I have the feeling that there is some connection to the access levels of the storage account, but so far I wasn't able to figure it out. Hopefully someone here can help me.

Is someone getting the same error message here, or has an idea, how to solve it?
As you have mentioned you might be receiving this error due to permissions while including the SAS Token.
The difference to my code was, that I used the blob storage sas_token from the Azure website, instead of generating it directly for the blob client with the azure function.
In order to allow access to certain areas of your storage account, a SAS is generated by default with a number of permissions such as read/write, services, resource type, Start and expiration date/time, and Allowed IP addresses, etc.
It's not that you always need to generate directly for the blob client with the azure function but you can generate one from the portal too by allowing the permissions.
REFERENCES: Grant limited access to Azure Storage resources using SAS - MSFT Document

Authentication to Google Cloud Python API Library stopped working

I have problems with the authentication in the Python Library of Google Cloud API.
At first it worked for some days without problem, but suddenly the API calls are not showing up in the API Overview of the Google CloudPlatform.
I created a service account and stored the json file locally. Then I set the environment variable GCLOUD_PROJECT to the project ID and GOOGLE_APPLICATION_CREDENTIALS to the path of the json file.
from google.cloud import speech
client = speech.Client()
print(client._credentials.service_account_email)
prints the correct service account email.
The following code transcribes the audio_file successfully, but the Dashboard for my Google Cloud project doesn't show anything for the activated Speech API Graph.
import io
with io.open(audio_file, 'rb') as f:
audio = client.sample(f.read(), source_uri=None, sample_rate=48000, encoding=speech.encoding.Encoding.FLAC)
alternatives = audio.sync_recognize(language_code='de-DE')
At some point the code also ran in some errors, regarding the usage limit. I guess due to the unsuccessful authentication, the free/limited option is used somehow.
I also tried the alternative option for authentication by installing the Google Cloud SDK and gcloud auth application-default login, but without success.
I have no idea where to start troubleshooting the problem.
Any help is appreciated!
(My system is running Windows 7 with Anaconda)
EDIT:
The error count (Fehler) is increasing with calls to the API. How can I get detailed information about the error?!

Make sure you are using an absolute path when setting the GOOGLE_APPLICATION_CREDENTIALS environment variable. Also, you might want to try inspecting the access token using OAuth2 tokeninfo and make sure it has "scope": "https://www.googleapis.com/auth/cloud-platform" in its response.
Sometimes you will get different error information if you initialize the client with GRPC enabled:
0.24.0:
speech_client = speech.Client(_use_grpc=True)
0.23.0:
speech_client = speech.Client(use_gax=True)
Usually it's an encoding issue, can you try with the sample audio or try generating LINEAR16 samples using something like the Unix rec tool:
rec --channels=1 --bits=16 --rate=44100 audio.wav trim 0 5
...
with io.open(speech_file, 'rb') as audio_file:
content = audio_file.read()
audio_sample = speech_client.sample(
content,
source_uri=None,
encoding='LINEAR16',
sample_rate=44100)
Other notes:
Sync Recognize is limited to 60 seconds of audio, you must use async for longer audio
If you haven't already, set up billing for your account

With regards to the usage problem, the issue is in fact that when you use the new google-cloud library to access ML APIs, it seems everyone authenticates to a project shared by everyone (hence it says you've used up your limit even though you've not used anything). To check and confirm this, you can call an ML API that you have not enabled by using the python client library, which will give you a result even though it shouldn't. This problem persists to other language client libraries and OS, so I suspect it's an issue with their grpc.
Because of this, to ensure consistency I always use the older googleapiclient that uses my API key. Here is an example to use the translate API:
from googleapiclient import discovery
service = discovery.build('translate', 'v2', developerKey='')
service_request = service.translations().list(q='hello world', target='zh')
result = service_request.execute()
print(result)
For the speech API, it's something along the lines of:
from googleapiclient import discovery
service = discovery.build('speech', 'v1beta1', developerKey='')
service_request = service.speech().syncrecognize()
result = service_request.execute()
print(result)
You can get the list of the discovery APIs at https://developers.google.com/api-client-library/python/apis/ with the speech one located in https://developers.google.com/resources/api-libraries/documentation/speech/v1beta1/python/latest/.
One of the other benefits of using the discovery library is that you get a lot more options compared to the current library, although often times it's a bit more of a pain to implement.

Sending an order to oanda

I want to send an order to oanda to make a transaction,I use ipython notebook to compile my code,this is my code:
import oandapy
trade_expire=datetime.now()+timedelta(days=1)
trade_expire=trade_expire.isoformat("T")+"Z"
oanda=oandapy.API(environment='practice',access_token='XXXX....')
account_id=xxxxxxx
response=oanda.create_order(account_id,instrument='USD_EUR',units=1000,side='buy',/
type='limit',price=1.105,expire=trade_expire)
But the error is：
OandaError: OANDA API returned error code 4 (The access token provided does
not allow this request to be made)
How can I solve this problem?

I had the same problem, but when sending orders via curl commands.
The problem has to do with which API you are using from which account.
I notice in your python it says "practice," so you'll want to make sure the API token you generated is from within your practice account. Live accounts and practice accounts each use their own API tokens, and your commands will need to match.
You might also look elsewhere in your python, where it actually pings OandA's server.
For example, when using curl, a live account uses
"https://api-fxtrade.oanda.com/v3/accounts/<ACCOUNT>/orders"
and a practice account uses
"https://api-fxpractice.oanda.com/v3/accounts/<ACCOUNT>/orders"
Using your API token generated on your live account in a practice account will produce the error you're asking about.

How do I connect to quickbooks online via python?

I'm trying to figure out how to authenticate and create an entry on quickbooks online through Python. Currently, when I try to click auth link in their API Explorer, I get 404 page.
What I'm trying to do is creating invoice through Python. However, it seems like their documentation is not complete. I contacted their support, and I haven't heard from them yet.

The python-quickbooks library is probably the correct choice now, as it is a "complete rework of quickbooks-python". It has pretty comprehensive instructions on getting and using the auth keys, though I wouldn't call it "simple", since the process is by definition somewhat complex. The instructions are "for Django", but the Django-specific code simply gets parameters out of a URL string.
We're using it to great effect, because the syntax is as easy as:
auth_client = AuthClient(
client_id = CLIENT_ID # from QB website
,client_secret = CLIENT_SECRET # from QB website
,environment = 'sandbox' # or 'production'
,redirect_uri = REDIRECT_URI
)
client = QuickBooks(
auth_client = auth_client
,refresh_token = REFRESH_TOKEN
,company_id = COMPANY_ID
)
account = Account.get(qbid, qb=client) # qbid can be retrieved from the AccountList
return account.CurrentBalance

This library will get the job done https://github.com/HaPsantran/quickbooks-python
It works in JSON so you would construct the Invoice based off of docs at https://developer.intuit.com/docs/0025_quickbooksapi/0050_data_services/030_entity_services_reference/invoice using the JSON examples.
The library doesn't support sandbox mode** so if you are going to use the development consumer key and secret than you would change this code.
base_url_v3 = "https://quickbooks.api.intuit.com/v3"
to
base_url_v3 = "https://sandbox-quickbooks.api.intuit.com/v3"
while in that mode.
** Sandbox mode only applies currently to U.S. QBO

Having written a lot of the module #Minimul mentions — with a very helpful start by simonv3, who figured out how to get it working first and then I just built on it — I am fairly confident that this will not support the oauth workflow of getting the request token, prompting the user to authenticate out of band, and then getting and storing the access token. It presumes you already have an access token.
Simon (or another Python developer) may be able to comment on how he gets the access token with Python, and if so, it'd be great if he (or they) could add it to the module for all to enjoy.

I had this same problem. I just figured it out and posed the step-by-step process here:
python with Quickbooks Online API v3
Hope this helps.

I looked at the existing python clients for quickbooks and found them to be either outdated or not having all the features. So i created a new python client for quickbooks which can be found at https://pypi.python.org/pypi/quickbooks-py

Facebook Graph API python facepy

I'm using facepy for retrieving fb comments and posts (This is the objective). I've given a valid access token (generated from http://developers.facebook.com/tools/explorer/?method=GET&path=me)
The error generated is:
NameError: name 'AAACEdEose0cBAHshwZCGJ6dHPb0x68c.......D' is not defined. And/OR
facepy.exceptions.OAuthError: [190] Error validating access token: Session has expired at unix time 1359752400.
I believe I've generated the correct access token (with the correct permissions) I thought I would test the facepy library for retrieving photos first. Is their a faster way to retrieve comments, respective user ids, and time stamp from a public fan page (I am guessing most of my target pages have 'public information')
Can someone help me on this?
from facepy import GraphAPI
graph = GraphAPI(AAACEdEose0cBAHshwZCGJ6dHPb0x68c.......D)
graph.get('me/posts')
graph.post(
path = 'me/photos',
source = open('parrot.jpg')

Never tried with the FB but some of the solutions which worked with other API's.
Error validating access token: Session has expired at unix time 1359752400.
Says All. However mostly occurs when I did connected it to some DB for storing some information retrieved from the API.I am sure you have made a right key and password so don't worry about it. Make sure the other connection is still open.
Second, it happened again when I did not accessed the API for weeks so make sure to log in once or twice.

Your API needs to be in quotes...
also generate an extended token via the below