oncall-engine/dev/README.md

Developer quickstart

• Running the project
  • COMPOSE_PROFILES
  • GRAFANA_VERSION
  • Configuring Grafana
  • Django Silk Profiling
  • Running backend services outside Docker
• Useful make commands
• Setting environment variables
• Slack application setup
• Update drone build
• Troubleshooting
  • ld: library not found for -lssl
  • Could not build wheels for cryptography which use PEP 517 and cannot be installed directly
  • django.db.utils.OperationalError: (1366, "Incorrect string value")
  • /bin/sh: line 0: cd: grafana-plugin: No such file or directory
  • Encountered error while trying to install package - grpcio
  • distutils.errors.CompileError: command '/usr/bin/clang' failed with exit code 1
  • symbol not found in flat namespace '_EVP_DigestSignUpdate'
• IDE Specific Instructions
  • PyCharm

Related: How to develop integrations

Running the project

By default everything runs inside Docker. These options can be modified via the COMPOSE_PROFILES environment variable.

1. Firstly, ensure that you have docker installed and running on your machine. NOTE: the docker-compose-developer.yml file uses some syntax/features that are only supported by Docker Compose v2. For instructions on how to enable this (if you haven't already done so), see here. Ensure you have Docker Compose version 2.10 or above installed - update instructions are here.
2. Run make init start. By default this will run everything in Docker, using SQLite as the database and Redis as the message broker/cache. See COMPOSE_PROFILES below for more details on how to swap out/disable which components are run in Docker.
3. Open Grafana in a browser here (login: oncall, password: oncall).
4. You should now see the OnCall plugin configuration page. You may safely ignore the warning about the invalid plugin signature. When opening the main plugin page, you may also ignore warnings about version mismatch and lack of communication channels.
5. Enjoy! Check our OSS docs if you want to set up Slack, Telegram, Twilio or SMS/calls through Grafana Cloud.
6. (Optional) Install pre-commit hooks by running make install-precommit-hook

Note: on subsequent startups you can simply run make start, this is a bit faster because it skips the frontend build step.

COMPOSE_PROFILES

This configuration option represents a comma-separated list of docker-compose profiles. It allows you to swap-out, or disable, certain components in Docker.

This option can be configured in two ways:

1. Setting a COMPOSE_PROFILES environment variable in dev/.env.dev. This allows you to avoid having to set COMPOSE_PROFILES for each make command you execute afterwards.
2. Passing in a COMPOSE_PROFILES argument when running make commands. For example:

make start COMPOSE_PROFILES=postgres,engine,grafana,rabbitmq

The possible profiles values are:

• grafana
• engine
• oncall_ui
• redis
• rabbitmq
• postgres
• mysql

The default is engine,oncall_ui,redis,grafana. This runs:

• all OnCall components (using SQLite as the database)
• Redis as the Celery message broker/cache
• a Grafana container

GRAFANA_VERSION

If you would like to change the version of Grafana being run, simply pass in a GRAFANA_VERSION environment variable to make start (or alternatively set it in your .env.dev file). The value of this environment variable should be a valid grafana/grafana published Docker image tag.

Configuring Grafana

This section is applicable for when you are running a Grafana container inside of docker-compose and you would like to modify your Grafana instance's provisioning configuration.

The following commands assume you run them from the root of the project:

touch ./dev/grafana.dev.ini
# make desired changes to ./dev/grafana.dev.ini then run
touch .env && ./dev/add_env_var.sh GRAFANA_DEV_PROVISIONING ./dev/grafana.dev.ini .env

The next time you start the project via docker-compose, the grafana container will have ./dev/grafana.dev.ini volume mounted inside the container.

Django Silk Profiling

In order to setup django-silk for local profiling, perform the following steps:

1. make backend-debug-enable
2. make engine-manage CMD="createsuperuser" - follow CLI prompts to create a Django superuser
3. Visit http://localhost:8080/django-admin and login using the credentials you created in step #2

You should now be able to visit http://localhost:8080/silk/ and see the Django Silk UI. See the django-silk documentation here for more information.

Running backend services outside Docker

By default everything runs inside Docker. If you would like to run the backend services outside of Docker (for integrating w/ PyCharm for example), follow these instructions:

1. Create a Python 3.9 virtual environment using a method of your choosing (ex. venv or pyenv-virtualenv). Make sure the virtualenv is "activated".

2. postgres is a dependency on some of our Python dependencies (notably psycopg2 (docs)). Please visit here for installation instructions.

3. make backend-bootstrap - installs all backend dependencies

4. Modify your .env.dev by copying the contents of one of .env.mysql.dev, .env.postgres.dev, or .env.sqlite.dev into .env.dev (you should exclude the GF_ prefixed environment variables).

   In most cases where you are running stateful services via docker-compose, and backend services outside of docker, you will simply need to change the database host to localhost (or in the case of sqlite update the file-path to your sqlite database file). You will need to change the broker host to localhost as well.

5. make backend-migrate - runs necessary database migrations

6. Open two separate shells and then run the following:

• make run-backend-server - runs the HTTP server
• make run-backend-celery - runs Celery workers

Useful make commands

See COMPOSE_PROFILES for more information on what this option is and how to configure it.

make init # build the frontend plugin code then run make start
make start # start all of the docker containers
make stop # stop all of the docker containers
make restart # restart all docker containers
make build # rebuild images (e.g. when changing requirements.txt)
# run Django's `manage.py` script, inside of a docker container, passing `$CMD` as arguments.
# e.g. `make engine-manage CMD="makemigrations"` - https://docs.djangoproject.com/en/4.1/ref/django-admin/#django-admin-makemigrations
make engine-manage CMD="..."

make backend-debug-enable # enable Django's debug mode and Silk profiling (this is disabled by default for performance reasons)
make backend-debug-disable # disable Django's debug mode and Silk profiling

# this will remove all of the images, containers, volumes, and networks
# associated with your local OnCall developer setup
make cleanup

make start-celery-beat # start celery beat
make purge-queues # purge celery queues
make shell # starts an OnCall engine Django shell
make dbshell # opens a DB shell
make exec-engine # exec into engine container's bash
make test # run backend tests

# run Django's `manage.py` script, passing `$CMD` as arguments.
# e.g. `make backend-manage-command CMD="makemigrations"` - https://docs.djangoproject.com/en/4.1/ref/django-admin/#django-admin-makemigrations
make backend-manage-command CMD="..."

# run both frontend and backend linters
# may need to run `yarn install` from within `grafana-plugin` to install several `pre-commit` dependencies
make lint

Setting environment variables

If you need to override any additional environment variables, you should set these in a root .env.dev file. This file is automatically picked up by the OnCall engine Docker containers. This file is ignored from source control and also overrides any defaults that are set in other .env* files

Slack application setup

For Slack app configuration check our docs: https://grafana.com/docs/grafana-cloud/oncall/open-source/#slack-setup

Update drone build

The .drone.yml build file must be signed when changes are made to it. Follow these steps:

If you have not installed drone CLI follow these instructions

To sign the .drone.yml file:

export DRONE_SERVER=https://drone.grafana.net

# Get your drone token from https://drone.grafana.net/account
export DRONE_TOKEN=<Your DRONE_TOKEN>

drone sign --save grafana/oncall .drone.yml

Troubleshooting

ld: library not found for -lssl

Problem:

make backend-bootstrap
...
    ld: library not found for -lssl
    clang: error: linker command failed with exit code 1 (use -v to see invocation)
    error: command 'gcc' failed with exit status 1
...

Solution:

export LDFLAGS=-L/usr/local/opt/openssl/lib
make backend-bootstrap

Could not build wheels for cryptography which use PEP 517 and cannot be installed directly

Happens on Apple Silicon

Problem:

build/temp.macosx-12-arm64-3.9/_openssl.c:575:10: fatal error: 'openssl/opensslv.h' file not found
#include <openssl/opensslv.h>
          ^~~~~~~~~~~~~~~~~~~~
1 error generated.
error: command '/usr/bin/clang' failed with exit code 1
----------------------------------------
ERROR: Failed building wheel for cryptography

Solution:

LDFLAGS="-L$(brew --prefix openssl@1.1)/lib" CFLAGS="-I$(brew --prefix openssl@1.1)/include" pip install `cat engine/requirements.txt | grep cryptography`

django.db.utils.OperationalError: (1366, "Incorrect string value")

Problem:

django.db.utils.OperationalError: (1366, "Incorrect string value: '\\xF0\\x9F\\x98\\x8A\\xF0\\x9F...' for column 'cached_name' at row 1")

Solution:

Recreate the database with the correct encoding.

/bin/sh: line 0: cd: grafana-plugin: No such file or directory

Problem:

When running make init:

/bin/sh: line 0: cd: grafana-plugin: No such file or directory
make: *** [init] Error 1

This arises when the environment variable [CDPATH](https://www.theunixschool.com/2012/04/what-is-cdpath.html) is set and when the current path (.) is not explicitly part of CDPATH.

Solution:

Either make . part of CDPATH in your .rc file setup, or temporarily override the variable when running make commands:

$ CDPATH="." make init
# Setting CDPATH to empty seems to also work - only tested on zsh, YMMV
$ CDPATH="" make init

Problem:

When running make init start:

Error response from daemon: open /var/lib/docker/overlay2/ac57b871108ee1b98ff4455e36d2175eae90cbc7d4c9a54608c0b45cfb7c6da5/committed: is a directory
make: *** [start] Error 1

Solution: clear everything in docker by resetting or:

make cleanup

Encountered error while trying to install package - grpcio

Problem:

We are currently using a library, fcm-django, which has a dependency on grpcio. Google does not provide grpcio wheels built for Apple Silicon Macs. The best solution so far has been to use a conda virtualenv. There's apparently a lot of community work put into making packages play well with M1/arm64 architecture.

pip install -r requirements.txt
...
   note: This error originates from a subprocess, and is likely not a problem with pip.
error: legacy-install-failure

× Encountered error while trying to install package.
╰─> grpcio
...

Solution:

Use a conda virtualenv, and then run the following when installing the engine dependencies/ See here for more details

GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=1 GRPC_PYTHON_BUILD_SYSTEM_ZLIB=1 pip install -r requirements.txt

distutils.errors.CompileError: command '/usr/bin/clang' failed with exit code 1

See solution for "Encountered error while trying to install package - grpcio" here

symbol not found in flat namespace '_EVP_DigestSignUpdate'

Problem:

This problem seems to occur when running the Celery process, outside of docker-compose (via make run-backend-celery), and using a conda virtual environment.

conda create --name oncall-dev python=3.9.13
conda activate oncall-dev
make backend-bootstrap
make run-backend-celery
File "~/oncall/engine/engine/__init__.py", line 5, in <module>
    from .celery import app as celery_app
  File "~/oncall/engine/engine/celery.py", line 11, in <module>
    from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
  File "/opt/homebrew/Caskroom/miniconda/base/envs/oncall-dev/lib/python3.9/site-packages/opentelemetry/exporter/otlp/proto/grpc/trace_exporter/__init__.py", line 20, in <module>
    from grpc import ChannelCredentials, Compression
  File "/opt/homebrew/Caskroom/miniconda/base/envs/oncall-dev/lib/python3.9/site-packages/grpc/__init__.py", line 22, in <module>
    from grpc import _compression
  File "/opt/homebrew/Caskroom/miniconda/base/envs/oncall-dev/lib/python3.9/site-packages/grpc/_compression.py", line 20, in <module>
    from grpc._cython import cygrpc
ImportError: dlopen(/opt/homebrew/Caskroom/miniconda/base/envs/oncall-dev/lib/python3.9/site-packages/grpc/_cython/cygrpc.cpython-39-darwin.so, 0x0002): symbol not found in flat namespace '_EVP_DigestSignUpdate'

Solution:

This solution posted in a GitHub issue thread for the grpc/grpc repository, fixes the issue:

conda install grpcio
make run-backend-celery

IDE Specific Instructions

PyCharm

1. Follow the instructions listed in "Running backend services outside Docker".
2. Open the project in PyCharm
3. Settings → Project OnCall
   • In Python Interpreter click the gear and create a new Virtualenv from existing environment selecting the venv created in Step 1.
   • In Project Structure make sure the project root is the content root and add /engine to Sources
4. Under Settings → Languages & Frameworks → Django
   • Enable Django support
   • Set Django project root to /engine
   • Set Settings to settings/dev.py
5. Create a new Django Server run configuration to Run/Debug the engine
   • Use a plugin such as EnvFile to load the .env.dev file
   • Change port from 8000 to 8080