Azure / Azure/azure-openai-benchmark
Count of Completed Requests & Total Requests is same
- Dominant language
- Python
- Stars
- 154
- Forks
- 76
- PR merge metrics
- No merged PRs in 30d
Description
I was having a look at my output logs and StatsAggregator class.
I would like to understand the reason for keeping the same value of "total number of requests" for both "completed" & "requests" keys?
If by "completed", we wanted to mean "successful" , then the count should be (total requests-failed requests)
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reading the StatsAggregator class and tracing how the output-log values for "completed", "requests", and "failed" are calculated. Compare the current behavior with the issue's proposed meaning of completed as successful requests. Done means the counters have distinct, clearly defined semantics and the reported values match those definitions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- analytics
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100