Attribute Error
The AttributeError you're getting in the second script for extracting REQ details (e.g., the RITM Number) might occur if you're trying to access an attribute that doesn't exist or is not in the correct format (e.g., accessing a key on a None object or a missing dictionary key).
Let me go over possible issues and how you can resolve them.
Assumptions of Your Code:
You mentioned you want to print details like the RITM Number, REQ Number, Catalog Item, Task Number, etc., from the second script. Let's revisit the steps to ensure you're retrieving the correct details from the API response.
Sample JSON Response
Based on the structure of the API response, I'll assume you received something like this:
json{
"result": {
"sc_task": {
"number": "RITM0001234",
"short_description": "Task description here",
"assignment_group": {"display_value": "Group Name"},
"state": {"display_value": "Active"},
"assigned_to": {"display_value": "User Name"}
},
"request": {
"display_value": "REQ0011458"
},
"cat_item": {
"display_value": "Catalog Item Name"
}
}
}
Key Points for Extracting Details:
- Parse the JSON Response: Ensure that you correctly parse the JSON response before attempting to extract any details.
- Check if Keys Exist: If a key doesn't exist in the response, attempting to access it will raise an
AttributeError. Use.get()to safely access these keys.
Example Script to Extract REQ Details:
pythonimport json
import requests
# Example URL and headers (update accordingly)
url = "https://dev-api.cmnow-dev.ubsdev.net/aggregate?collection=sc_req_item"
headers = {"x-snow-auth": "xxxxx"}
# Make API request
response = requests.get(url, headers=headers)
# Check for a successful response
if response.status_code == 200:
response_data = response.json() # Convert response to a dictionary
# Extract RITM Number, REQ Number, Catalog Item, Task Number, etc.
result = response_data.get('result', {})
# Safely access the data using .get() to avoid KeyErrors
ritm_number = result.get('sc_task', {}).get('number', 'N/A')
req_number = result.get('request', {}).get('display_value', 'N/A')
catalog_item = result.get('cat_item', {}).get('display_value', 'N/A')
task_description = result.get('sc_task', {}).get('short_description', 'N/A')
task_assignment_group = result.get('sc_task', {}).get('assignment_group', {}).get('display_value', 'N/A')
task_state = result.get('sc_task', {}).get('state', {}).get('display_value', 'N/A')
task_assigned_to = result.get('sc_task', {}).get('assigned_to', {}).get('display_value', 'N/A')
# Print the details in separate lines
print(f"RITM Number: {ritm_number}")
print(f"REQ Number: {req_number}")
print(f"Catalog Item: {catalog_item}")
print(f"Task Description: {task_description}")
print(f"Task Assignment Group: {task_assignment_group}")
print(f"Task State: {task_state}")
print(f"Task Assigned To: {task_assigned_to}")
else:
print(f"Failed to retrieve REQ details. Status Code: {response.status_code}")
print(response.text)
Key Steps:
- Handle Missing Data: Using
.get()ensures that even if a key is missing, the script won't crash. You can provide a default value like'N/A'in case the data is absent. - Check Response Status: Always check
response.status_code == 200to ensure that the request was successful before attempting to parse the response. - Parse Response as JSON: Use
response.json()to convert the API response from a string into a dictionary.
Debugging Tips:
- Print the raw response (
print(response.json())) to ensure you’re accessing the right fields. - Use
.get()instead of directly accessing attributes (response['key']), which will prevent errors if a key is missing.
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