prometheus / prometheus/client_python
Timing generator function
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- Python
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Description
Is there any way to time how long it takes to execute a generator function in python with Histogram.time? Right now, it only seems to measure the time to get the generator object. But since generators do lazy computation while actually iterating over it, we don't get full time.
Example:
def generate_n(n):
for i in range(n):
yield i
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the Histogram.time entry point and tracing how it handles the generator example in the issue. Define what timing the full lazy iteration should mean, then add coverage showing that the measured duration includes generator execution rather than only creation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- observability
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100