oncall-engine/engine/requirements.txt

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django==3.2.18
djangorestframework==3.12.4
slackclient==1.3.0
whitenoise==5.3.0
twilio~=6.37.0
phonenumbers==8.10.0
django-ordered-model==3.1.1
celery[amqp,redis]==5.2.7
redis==3.4.1
humanize==0.5.1
uwsgi==2.0.20
django-cors-headers==3.7.0
django-debug-toolbar==3.2.1
django-sns-view==0.1.2
python-telegram-bot==13.13
fake-data generation script + fixes for django-silk and django-debug-toolbar (#1128) # 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)
2023-01-20 09:19:41 +01:00
django-silk==5.0.3
django-redis-cache==3.0.0
hiredis==1.0.0
django-ratelimit==2.0.0
django-filter==2.4.0
icalendar==4.0.7
recurring-ical-events==0.1.16b0
slack-export-viewer==1.0.0
beautifulsoup4==4.8.1
social-auth-app-django==3.1.0
fake-data generation script + fixes for django-silk and django-debug-toolbar (#1128) # 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)
2023-01-20 09:19:41 +01:00
cryptography==38.0.4 # version 39.0.0 introduced an issue - https://stackoverflow.com/a/75053968/3902555
pytest==5.4.3
pytest-django==3.9.0
pytest_factoryboy==2.0.3
factory-boy<3.0
python-json-logger==2.0.1
django-log-request-id==1.6.0
django-polymorphic==3.0.0
django-rest-polymorphic==0.1.9
pre-commit==2.15.0
modify push notification settings + use fcm-django library (#998) - swaps out `django-push-notifications` for [`fcm-django`](https://github.com/grafana/fcm-django). Again.. this is a fork of the parent repo for exactly the same reason.. the migrations point to `auth_user` without letting us use our own user model, this has been patched in the `grafana` fork. The reason why we are using `fcm-django` vs `django-push-notifications` is that the latter does not support the new FCM API, only the "legacy" API. The legacy FCM API does not support certain push notification settings that we would like to use. - modifies the iOS/Android specific push notification settings - adds a `flower` pod in the `docker-compose-developer.yml`, useful for debugging tasks locally - sets the mobile app verification token TTL to 5 minutes when developing locally. The default of 1 minute makes working with device emulators really tricky.. This PR also swaps out the base image in `engine/Dockerfile` from `python:3.9-alpine3.16` to `python:3.9-slim-buster`. As to why.. in short, with the introduction of the `fcm-django` library there is now a peer-dependency on [`grpcio`](https://github.com/grpc/grpc) (which is used by `firebase_admin`.. which I am using in this PR to interact directly with Firebase Cloud Messaging (FCM)). `grpcio` does not publish wheels (read: compiled binaries) for the Alpine distro. It does publish wheels for Debian and hence `pip install -r requirements.txt` does not need to build this library from the source distribution. This is a [known "issue"](https://github.com/grpc/grpc/issues/22815#issuecomment-1107874367) and the recommended solution in the community is to.. not use alpine. These were the numbers, when building the image locally, in terms of image size and build time: | | Local image size (uncompressed | Build time (may differ based on your network speed) | | ------------------------- | -------------------------------------- | ---------- | | `python:3.9-alpine3.16` | 785MB | 320s | | `python:3.9-slim-buster` | 1.05GB | 90s | Co-authored-by: Salvatore Giordano <salvatoregiordanoo@gmail.com>
2022-12-20 12:41:34 +01:00
https://github.com/grafana/fcm-django/archive/refs/tags/v1.0.12r1.tar.gz
django-mirage-field==1.3.0
2022-06-08 11:11:50 +03:00
django-mysql==4.6.0
PyMySQL==1.0.2
psycopg2==2.9.3
2022-07-18 12:06:32 +01:00
emoji==1.7.0
regex==2021.11.2
2022-11-29 16:20:41 +08:00
psutil==5.9.4
django-migration-linter==4.1.0
django-add-default-value==0.10.0
2022-12-19 17:13:52 +08:00
opentelemetry-instrumentation-celery==0.36b0
opentelemetry-instrumentation-pymysql==0.36b0
opentelemetry-instrumentation-wsgi==0.36b0
opentelemetry-exporter-otlp-proto-grpc==1.15.0
pyroscope-io==0.8.1
django-dbconn-retry==0.1.7
django-ipware==4.0.2
django-anymail==8.6
modify check_escalation_finished_task task (#1266) # What this PR does This PR: - modifies the `check_escalation_finished_task` celery task to: - do stricter escalation validation based on the alert group's escalation snapshot (see the `audit_alert_group_escalation` method in `engine/apps/alerts/tasks/check_escalation_finished.py` for the validation logic) - use a read-only database for querying alert-groups if one is configured, otherwise use the "default" one - ping a configurable heartbeat (new env var `ALERT_GROUP_ESCALATION_AUDITOR_CELERY_TASK_HEARTBEAT_URL` added) - increase the task frequency from every 10 to every 13 minutes (this can be configured via an env variable) - adds public documentation on how to configure this auditor task - modifies the local celery startup command to properly take into consideration all celery related env vars (similar to the ones we use in `engine/celery_with_exporter.sh`; this made it easier to enable `celery beat` locally for testing) - removes the following code: - removes references to `AlertGroup.estimate_escalation_finish_time` and marks the model field as deprecated using the [`django-deprecate-fields` library](https://pypi.org/project/django-deprecate-fields/). This field was only used for the previous version of this validation task - `EscalationSnapshotMixin.calculate_eta_for_finish_escalation` was only used to calculate the value for `AlertGroup.estimate_escalation_finish_time` - `calculate_escalation_finish_time` celery task ## Which issue(s) this PR fixes https://github.com/grafana/oncall-private/issues/1558 ## Checklist - [x] Tests updated - [x] Documentation added - [x] `CHANGELOG.md` updated
2023-03-17 11:14:08 +01:00
django-deprecate-fields==0.1.1
pymdown-extensions==9.11