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Azure Functions - How to Connect to other services using API connections

I'm new to azure functions, I want to deploy my python code in function app, where my code is linked with SharePoint, Outlook, SQL Server, could some one suggest me the best way to connect all 3 of them in azure functions App....#python #sql #sharepoint #azure

Firstly, would like to discuss about accessing SharePoint files from Azure function, we just need to use few imports for it from VSCode and we also have the python documentation for Office365-Rest-Client.
Below is one of the examples to download a file from SharePoint:
Import os
import tempfile
from office365.sharepoint.client_context import ClientContext
from tests import test_team_site_url, test_client_credentials
ctx = ClientContext(test_team_site_url).with_credentials(test_client_credentials)
# file_url = '/sites/team/Shared Documents/big_buck_bunny.mp4'
file_url = "/sites/team/Shared Documents/report #123.csv"
download_path = os.path.join(tempfile.mkdtemp(), os.path.basename(file_url))
with open(download_path, "wb") as local_file:
file = ctx.web.get_file_by_server_relative_path(file_url).download(local_file).execute_query()
print("[Ok] file has been downloaded into: {0}".format(download_path))
To get all the details of files folders and their operations refer to this GIT link
For connecting to SQL we have a blog which has all insights with Python code, thanks to lieben.

Querying Tableau Server for exporting a view using python and REST API

I am trying to export a tableau view as an image/csv (doesn't matter) using Python. I googled and found that REST API would help here, so I created a Personal Access Token and wrote the following command to connect: -
import tableauserverclient as TSC
from tableau_api_lib import TableauServerConnection
from tableau_api_lib.utils.querying import get_views_dataframe, get_view_data_dataframe
server_url = 'https://tableau.mariadb.com'
site = ''
mytoken_name = 'Marine'
mytoken_secret = '$32mcyTOkmjSFqKBeVKEZYpMUexseV197l2MuvRlwHghMacCOa'
server = TSC.Server(server_url, use_server_version=True)
tableau_auth = TSC.PersonalAccessTokenAuth(token_name=mytoken_name, personal_access_token=mytoken_secret, site_id=site)
with server.auth.sign_in_with_personal_access_token(tableau_auth):
print('[Logged in successfully to {}]'.format(server_url))
It entered successfully and gave the message: -
[Logged in successfully to https://tableau.mariadb.com]
However, Iam at a loss now on how to access the tableau workbooks using Python. I searched here:-
https://help.tableau.com/current/api/rest_api/en-us/REST/rest_api_ref_workbooks_and_views.htm
but was unable to write these commands like GET or others in python.
Can anyone help?

I'm assuming you don't know the view_id of the view you're looking for
Adding this after the print in the with block will query all the views available on your site;
all_views, pagination_item = server.views.get()
print([view.name for view in all_views])
Then find the view you're looking for in the printed output and note the view_id for use like this;
view_item = server.view.get_by_id('d79634e1-6063-4ec9-95ff-50acbf609ff5')
From there, you can get the image like this;
server.views.populate_image(view_item)
with open('./view_image.png', 'wb') as f:
f.write(view_item.image)
The tableauserverclient-python docs should help you out a ton as well
https://tableau.github.io/server-client-python/docs/api-ref#views

How do I use python requests to download a processed files?

I'm using Django 1.8.1 with Python 3.4 and i'm trying to use requests to download a processed file. The following code works perfect for a normal request.get command to download the exact file at the server location, or unprocessed file.
The file needs to get processed based on the passed data (shown below as "data"). This data will need to get passed into the Django backend, and based off the text pass variables to run an internal program from the server and output .gcode instead .stl filetype.
python file.
import requests, os, json
SERVER='http://localhost:8000'
authuser = 'admin#google.com'
authpass = 'passwords'
#data not implimented
##############################################
data = {FirstName:Steve,Lastname:Escovar}
############################################
category = requests.get(SERVER + '/media/uploads/9128342/141303729.stl', auth=(authuser, authpass))
#download to path file
path = "/home/bradman/Downloads/requestdata/newfile.stl"
if category.status_code == 200:
with open(path, 'wb') as f:
for chunk in category:
f.write(chunk)
I'm very confused about this, but I think the best course of action is to pass the data along with request.get, and somehow make some function to grab them inside my views.py for Django. Anyone have any ideas?

To use data in request you can do
get( ... , params=data)
(and you get data as parameters in url)
or
post( ... , data=data).
(and you send data in body - like HTML form)
BTW. some APIs need params= and data= in one request of GET or POST to send all needed information.
Read requests documentation

Upload image to facebook using the Python API

I have searched the web far and wide for a still working example of uploading a photo to facebook through the Python API (Python for Facebook). Questions like this have been asked on stackoverflow before but non of the answers I have found work anymore.
What I got working is:
import facebook as fb
cfg = {
"page_id" : "my_page_id",
"access_token" : "my_access_token"
}
api = get_api(cfg)
msg = "Hello world!"
status = api.put_wall_post(msg)
where I have defined the get_api(cfg) function as this
graph = fb.GraphAPI(cfg['access_token'], version='2.2')
# Get page token to post as the page. You can skip
# the following if you want to post as yourself.
resp = graph.get_object('me/accounts')
page_access_token = None
for page in resp['data']:
if page['id'] == cfg['page_id']:
page_access_token = page['access_token']
graph = fb.GraphAPI(page_access_token)
return graph
And this does indeed post a message to my page.
However, if I instead want to upload an image everything goes wrong.
# Upload a profile photo for a Page.
api.put_photo(image=open("path_to/my_image.jpg",'rb').read(), message='Here's my image')
I get the dreaded GraphAPIError: (#324) Requires upload file for which non of the solutions on stackoverflow works for me.
If I instead issue the following command
api.put_photo(image=open("path_to/my_image.jpg",'rb').read(), album_path=cfg['page_id'] + "/picture")
I get GraphAPIError: (#1) Could not fetch picture for which I haven't been able to find a solution either.
Could someone out there please point me in the right direction of provide me with a currently working example? It would be greatly appreciated, thanks !

A 324 Facebook error can result from a few things depending on how the photo upload call was made
a missing image
an image not recognised by Facebook
incorrect directory path reference
A raw cURL call looks like
curl -F 'source=#my_image.jpg' 'https://graph.facebook.com/me/photos?access_token=YOUR_TOKEN'
As long as the above calls works, you can be sure the photo agrees with Facebook servers.
An example of how a 324 error can occur
touch meow.jpg
curl -F 'source=#meow.jpg' 'https://graph.facebook.com/me/photos?access_token=YOUR_TOKEN'
This can also occur for corrupted image files as you have seen.
Using .read() will dump the actual data
Empty File
>>> image=open("meow.jpg",'rb').read()
>>> image
''
Image File
>>> image=open("how.png",'rb').read()
>>> image
'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00...
Both of these will not work with the call api.put_photo as you have seen and Klaus D. mentioned the call should be without read()
So this call
api.put_photo(image=open("path_to/my_image.jpg",'rb').read(), message='Here's my image')
actually becomes
api.put_photo('\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00...', message='Here's my image')
Which is just a string, which isn't what is wanted.
One needs the image reference <open file 'how.png', mode 'rb' at 0x1085b2390>

I know this is old and doesn't answer the question with the specified API, however, I came upon this via a search and hopefully my solution will help travelers on a similar path.
Using requests and tempfile
A quick example of how I do it using the tempfile and requests modules.
Download an image and upload to Facebook
The script below should grab an image from a given url, save it to a file within a temporary directory and automatically cleanup after finished.
In addition, I can confirm this works running on a Flask service on Google Cloud Run. That comes with the container runtime contract so that we can store the file in-memory.
import tempfile
import requests
# setup stuff - certainly change this
filename = "your-desired-filename"
filepath = f"{directory}/{filename}"
image_url = "your-image-url"
act_id = "your account id"
access_token = "your access token"
# create the temporary directory
temp_dir = tempfile.TemporaryDirectory()
directory = temp_dir.name
# stream the image bytes
res = requests.get(image_url, stream=True)
# write them to your filename at your temporary directory
# assuming this works
# add logic for non 200 status codes
with open(filepath, "wb+") as f:
f.write(res.content)
# prep the payload for the facebook call
files = {
"filename": open(filepath, "rb"),
}
url = f"https://graph.facebook.com/v10.0/{act_id}/adimages?access_token={access_token}"
# send the POST request
res = requests.post(url, files=files)
res.raise_for_status()
if res.status_code == 200:
# get your image data back
image_upload_data = res.json()
temp_dir.cleanup()
if "images" in image_upload_data:
return image_upload_data["images"][filepath.split("/")[-1]]
return image_upload_data
temp_dir.cleanup() # paranoid: just in case an error isn't raised

Python script for "Google search by image"

I have checked Google Search API's and it seems that they have not released any API for searching "Images". So, I was wondering if there exists a python script/library through which I can automate the "search by image feature".

This was annoying enough to figure out that I thought I'd throw a comment on the first python-related stackoverflow result for "script google image search". The most annoying part of all this is setting up your proper application and custom search engine (CSE) in Google's web UI, but once you have your api key and CSE, define them in your environment and do something like:
#!/usr/bin/env python
# save top 10 google image search results to current directory
# https://developers.google.com/custom-search/json-api/v1/using_rest
import requests
import os
import sys
import re
import shutil
url = 'https://www.googleapis.com/customsearch/v1?key={}&cx={}&searchType=image&q={}'
apiKey = os.environ['GOOGLE_IMAGE_APIKEY']
cx = os.environ['GOOGLE_CSE_ID']
q = sys.argv[1]
i = 1
for result in requests.get(url.format(apiKey, cx, q)).json()['items']:
link = result['link']
image = requests.get(link, stream=True)
if image.status_code == 200:
m = re.search(r'[^\.]+$', link)
filename = './{}-{}.{}'.format(q, i, m.group())
with open(filename, 'wb') as f:
image.raw.decode_content = True
shutil.copyfileobj(image.raw, f)
i += 1

There is no API available but you are can parse the page and imitate the browser, but I don't know how much data you need to parse because google may limit or block access.
You can imitate the browser by simply using urllib and setting correct headers, but if you think parsing complex web-pages may be difficult from python, you can directly use a headless browser like phontomjs, inside a browser it is trivial to get correct elements using javascript/DOM
Note before trying all this check google's TOS

You can try this:
https://developers.google.com/image-search/v1/jsondevguide#json_snippets_python
It's deprecated, but seems to work.