Tag: Power Platform#

Python + Dataverse Series – #02 – use Datavese Web API using Python

Hi Folks,

This is in continuation to the previous blog post…if you haven’t gone through the earlier post on connecting to Dataverse using Python, please have a look here

Python + Dataverse Series – #01 – Console Application using Python

Now, we will see how you can retrieve the records in Dataverse using Web API using Python…

  1. Follow the previous blog post for connecting to Dataverse using Python
  2. Once you get the access token via the TDS End point, we can invoke the Dataverse Web API using below code…
import pyodbc
import msal
import requests
import json
# Azure AD details
client_id = 'XXXX'
client_secret = 'XXXX'
tenant_id = 'XXXX'
authority = f'https://login.microsoftonline.com/{tenant_id}'
resource = 'https://XXXX.crm8.dynamics.com'
# SQL endpoint
sql_server = 'XXXX.crm8.dynamics.com'
database = 'XXXX'
# Get token with error handling
try:
print(f"Attempting to authenticate with tenant: {tenant_id}")
print(f"Authority URL: {authority}")
app = msal.ConfidentialClientApplication(client_id, authority=authority, client_credential=client_secret)
print("Acquiring token…")
token_response = app.acquire_token_for_client(scopes=[f'{resource}/.default'])
if 'error' in token_response:
print(f"Token acquisition failed: {token_response['error']}")
print(f"Error description: {token_response.get('error_description', 'No description available')}")
else:
access_token = token_response['access_token']
print("Token acquired successfully and your token is!"+access_token)
print(f"Token length: {len(access_token)} characters")
except ValueError as e:
print(f"Configuration Error: {e}")
print("\nPossible solutions:")
print("1. Verify your tenant ID is correct")
print("2. Check if the tenant exists and is active")
print("3. Ensure you're using the right Azure cloud (commercial, government, etc.)")
except Exception as e:
print(f"Unexpected error: {e}")
#Get 5 contacts from Dataverse using Web API
import requests
import json
try:
print("Making Web API request to get contacts…")
# Dataverse Web API endpoint for contacts
web_api_url = f"{resource}/api/data/v9.2/contacts"
# Set up headers with authorization token
headers = {
'Authorization': f'Bearer {access_token}',
'OData-MaxVersion': '4.0',
'OData-Version': '4.0',
'Accept': 'application/json',
'Content-Type': 'application/json'
}
# Add query parameters to get only 5 contacts with specific fields
params = {
'$top': 5,
'$select': 'contactid,fullname,emailaddress1,telephone1,createdon'
}
# Make the GET request
response = requests.get(web_api_url, headers=headers, params=params)
if response.status_code == 200:
print("Web API request successful!")
contacts_data = response.json()
print(f"\nFound {len(contacts_data['value'])} contacts:")
print("-" * 80)
for i, contact in enumerate(contacts_data['value'], 1):
print(f"Contact {i}:")
print(f" ID: {contact.get('contactid', 'N/A')}")
print(f" Name: {contact.get('fullname', 'N/A')}")
print(f" Email: {contact.get('emailaddress1', 'N/A')}")
print(f" Phone: {contact.get('telephone1', 'N/A')}")
print(f" Created: {contact.get('createdon', 'N/A')}")
print("-" * 40)
else:
print(f"Web API request failed with status code: {response.status_code}")
print(f"Error details: {response.text}")
except requests.exceptions.RequestException as e:
print(f"Request error: {e}")
except KeyError as e:
print(f"Token not available: {e}")
except Exception as e:
print(f"Unexpected error: {e}")
view raw Python – Dataverse – Web API hosted with ❤ by GitHub

You can use the VS Code as IDE, copy the above code in a python file, next click on Run Python File at the top of the VS Code

So, once you get the Access token, you can invoke the Web API using Python similar to how we did it using Javascript…

Hope this helps…

Cheers,

PMDY

Python + Dataverse Series – #01 – Console Application using Python

Hi Folks,

This series is for Pro Code Developers especially those working on Dataverse and want to know how to work with Dataverse and Python. I am starting this series as I see little to no content in this area.

So, in this post, first we will try to understand how to write a console application using Python Code utilizing(Tabular Data Stream) the TDS end point. Well, there were many posts in the internet for connecting to Dataverse using Python but uses more libraries and requires bit more code

Below posts will have hardcoded configurations as they are meant for initial trial purposes, going further, we will align with the best practices.

import pyodbc
import msal
# Azure AD details
client_id = '0e1c58b1-3d9a-4618-8889-6c6505288d3c'
client_secret = 'qlU8Q~dmhKFfdL1ph2YsLK9URbhIPn~qWmfr1ceL'
tenant_id = '97ae7e35-2f87-418b-9432-6733950f3d5c'
authority = f'https://login.microsoftonline.com/{tenant_id}'
resource = 'https://ecellorsdev.crm8.dynamics.com'
# SQL endpoint
sql_server = 'ecellorsdev.crm8.dynamics.com'
database = 'ecellorsdev'
# Get token with error handling
try:
print(f"Attempting to authenticate with tenant: {tenant_id}")
print(f"Authority URL: {authority}")
app = msal.ConfidentialClientApplication(client_id, authority=authority, client_credential=client_secret)
print("Acquiring token…")
token_response = app.acquire_token_for_client(scopes=[f'{resource}/.default'])
if 'error' in token_response:
print(f"Token acquisition failed: {token_response['error']}")
print(f"Error description: {token_response.get('error_description', 'No description available')}")
else:
access_token = token_response['access_token']
print("Token acquired successfully and your token is!"+access_token)
print(f"Token length: {len(access_token)} characters")
except ValueError as e:
print(f"Configuration Error: {e}")
print("\nPossible solutions:")
print("1. Verify your tenant ID is correct")
print("2. Check if the tenant exists and is active")
print("3. Ensure you're using the right Azure cloud (commercial, government, etc.)")
except Exception as e:
print(f"Unexpected error: {e}")
view raw ConsoleApplicationUsingPython.py hosted with ❤ by GitHub

The logic just uses two libraries in Python

  1. pyodbc
  2. msal

The code efficiently handles all the errors for efficient tracking….

You can easily work with Python using VS Code as below,

Hover over Run option –> Click Start Debugging

You will able to get the Access Token after invoking the Dataverse. If you were facing any issues, you can use GitHub Copilot.

Hope this posts helps…

Cheers,

PMDY