# What this PR does
- bumps `uwsgi` to latest version (`2.0.26`), which unblocks us from
bumping Python to 3.12
- bumps Python to 3.12.3
- refactor the Snyk GitHub Actions workflow to use the composable
actions for installed frontend and backend dependencies
- fixes several `AttributeError`s in our tests that went from a warning
to an error in Python 3.12 (see
https://github.com/python/cpython/issues/100690)
# Which issue(s) this PR closes
Closes#4358
Closes https://github.com/grafana/oncall/issues/4387
# What this PR does
Upgrade to Python 3.12 + fix several invalid test assertions that lead
to test failures in the latest version of `pytest`:
```
AttributeError: 'called_once_with' is not a valid assertion. Use a spec for the mock if 'called_once_with' is meant to be an attribute.. Did you mean: 'assert_called_once_with'?
```
## Checklist
- [ ] Unit, integration, and e2e (if applicable) tests updated
- [x] Documentation added (or `pr:no public docs` PR label added if not
required)
- [x] `CHANGELOG.md` updated (or `pr:no changelog` PR label added if not
required)
# What this PR does
Upgrades the backend to Python 3.11.3 (latest stable release) + update
linting step on Drone builds to run **all** the linting steps, not just
the Python ones.
## Checklist
- [ ] Unit, integration, and e2e (if applicable) tests updated (N/A)
- [ ] Documentation added (or `pr:no public docs` PR label added if not
required) (N/A)
- [x] `CHANGELOG.md` updated (or `pr:no changelog` PR label added if not
required)
# What this PR does
## Main stuff
- add Python script to populate local Grafana/OnCall setup w/ large
amounts of fake data. Right now the data types that can be generated
are:
- teams and Admin users via the Grafana API (must be synced manually by
going into the UI before going onto the next step)
- Calendar Schedules which have three 8h oncall-shifts, via the OnCall
public API
- fixes `django-debug-toolbar` when being run in `docker-compose`
locally
## Other stuff
- documents how to easily modify the Grafana `docker-compose` container
provisioning configuration
- document solutions for two backend setup related issues encountered
when running the engine/celery workers locally, outside of
`docker-compose`, on an Apple silicon Mac
- fixes small bug in `grafana_plugin.helpers.client.APIClient.call_api`
where it would call `response.json()` for all requests, regardless of
whether or not the response actually contained data or not
- in `engine/settings/dev.py`, properly setup `django-silk` and document
the steps to use it locally
- make it possible to log out debug SQL queries by specifying
`DEV_DEBUG_VIEW_SQL_QUERIES` env var, rather than having to uncomment
out a section of `settings/dev.py`
## Which issue(s) this PR fixes
- Some local setup issues when trying to use `django-silk` and
`django-debug-toolbar`
- Makes it much easier to populate your local setup with a lot of fake
data
- Makes it possible to easily modify your local grafana's provisioning
configuration
## Checklist
- [ ] Tests updated (N/A)
- [ ] Documentation added (N/A)
- [ ] `CHANGELOG.md` updated (N/A)
