I’m working on a project where I need to retrieve all the resolution IDs for a specific Jira project using the Python Jira library. I was able to get a response from the API, but I’m having trouble parsing it correctly.
Here’s what I’ve done so far:
jira_client = JiraClient(url='my_jira_url', auth_token='my_auth_token')
resolution_data = jira_client.fetch_resolutions()
print(resolution_data)
The output is a list of JIRA Resolution objects, each appearing like:
<JIRA Resolution: name='SomeName', id='SomeID'>
I need to convert this into a list of dictionaries with keys for the resolution name and ID. I attempted some string manipulation:
cleaned_data = str(resolution_data).replace('<', '').replace('>', '').replace('JIRA Resolution: ', '')
print(cleaned_data)
However, I’m stuck on how to proceed from here. Is there a more effective method to extract this information directly using the Jira library?
hey mate, i’ve dealt with this before. instead of string manipulation, try using the attributes of the Resolution objects directly. somethin like:
resolution_list = [{“name”: res.name, “id”: res.id} for res in resolution_data]
This should give u a list of dicts with the info u need. lmk if it works!
I’ve encountered a similar situation in my work with the Jira API. The Python Jira library actually provides convenient access to resolution attributes. You can directly access the ‘name’ and ‘id’ properties of each Resolution object. Here’s an approach that should work:
resolution_list =
for resolution in resolution_data:
resolution_list.append({
‘name’: resolution.name,
‘id’: resolution.id
})
This will create the list of dictionaries you’re looking for. It’s more reliable than string manipulation and leverages the library’s built-in functionality. If you need to process a large number of resolutions, you might consider using a generator expression for better memory efficiency.
I’ve been using the Jira API for a while now, and I can tell you that working with Resolution objects can be tricky at first. Here’s a tip that might save you some headaches: you can use the asdict() method from the dataclasses module to convert Resolution objects to dictionaries easily. It’s a bit cleaner than manually creating dictionaries. Try this:
from dataclasses import asdict
resolution_list = [asdict(res) for res in resolution_data]
This approach will give you a list of dictionaries with all the attributes of the Resolution objects, not just name and id. If you only need specific fields, you can always filter them afterwards. It’s also more future-proof in case Atlassian adds new fields to the Resolution object in future updates.