Comments (2)
I wouldn't shrink it per se - as the data are valuable.
Instead I'd format the log file, and potentially start with a yaml
frontmatter with those meta data; then having the raw logs.
This way we can process it more easily in the client and have various options to format the headers vs. display the raw output as we are doing now
from pipelines.
Implemented:
- highlighting on keys
- yaml format the values
- limit any single value to 3000 characters (defined as variable in stdout_logger.py
- remove the ['webhook_content']['raw'] from logs
Screenshot of the result (used 100character maximum for testing here):
@zbal assigned the PR to you: #70
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Related Issues (20)
- Optimize task status polling
- slack notification when pipeline job finishes HOT 5
- Need fix logger stdout HOT 2
- Update from deprecated usage of access_token for GitHub API HOT 1
- Dependency error when installing HOT 1
- Polling logic needs a review
- Bump to python3 HOT 3
- Add support for python 3.10 HOT 2
- refactor code: replace callback style with coroutine. HOT 1
- Proposal: pipeline add global flag to limit history log retaintion HOT 3
- Release to PYPI for new tag with Github Actions HOT 1
- Format the code with autopep8 automatically
- `Bash` type bug HOT 1
- Add error handling when connection to API fails on run
- Security issue - need to force token change
- Display `branch`/`version` HOT 1
- pipeline editor
- pipeline creator
- remote pipeline
- Add support for output per pipeline step
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