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Wikidot Notifications


This is the open-source codebase for Wikidot Notifications, a cloud service providing forum notifications for sites on Wikidot.

This notifications service searches for new forum posts on Wikidot and delivers notifications for users that are subscribed to them via email or Wikidot private message. Manual subscriptions as well as a set of rules defining 'automatic subscriptions' are supported. Notifications can be delivered in several languages contributed by members of the Wikidot community.

This service is operated and developed by Wikidot user Croquembouche and is not associated with Wikidot Inc. or any particular site hosted on Wikidot other than

See also:

The notifications service is written in Python and runs on AWS Lambda using a MySQL database on AWS EC2.



There must only be one instance of this service active. Duplication would result in duplicated messages and would cause spam.

The instructions below are provided in case this specific service is no longer able to operate and/or I am no longer able to maintain it. Do not attempt to launch another instance of this service outside of that circumstance.


With Docker

Requires Docker.

The Dockerfile specifies a number of stages. For local testing, set the target stage to 'execute':

docker build --target execute --tag notifier:latest .


Requires at least Python 3.8.

Via Poetry:

poetry install


In addition to the config file based on the one provided in this repository, notifier requires an additional authentication file to provide passwords etc. for the various services it needs.

See docs/ for more information and instructions.

Database setup

For local development and testing, notifier requires a MySQL database. See docs/ for more information and instructions.

Local execution

To start the notifier service in a Docker container:

docker run --rm notifier:latest path_to_config_file path_to_auth_file

Or locally:

poetry run python3 -m notifier path_to_config_file path_to_auth_file

Or with Docker:

docker build --target execute --tag notifier:execute .
docker run --rm notifier:execute path_to_config_file path_to_auth_file

The config file that my notifier instance uses is config/config.toml. A sample auth file with dummy secrets, used for CI tests, can be found at config/

The service will run continuously and activate an automatically-determined set of notification channels each hour.

To activate an automatically-determined set of channels immediately and once only, add the --execute-now switch with no parameter. Note that this must be run during the first minute of an hour to match any channels.

To activate a manually-chosen channel or set of channels immediately and once only, even at a time when such channel would not normally be activated, add the --execute-now switch followed by any of hourly, 8hourly, daily, weekly, monthly and test.

The test channel will never be activated during normal usage. Note that the user config setting for the test channel is hidden, and can be selected by executing the following JavaScript while editing a user config page:

document.querySelector("[name=field-frequency]").value = "test"

To restrict which wikis posts will be downloaded from, add --limit-wikis [list].

Remote deployment

The notifier service is not intended to be executed locally or even to be executed as a continuously-running service during production, but rather to be deployed to the cloud using AWS Lambda and a handler that calls --execute-now.

See docs/ for more information and instructions.


Produce a sample digest and print it to stdout, where [lang] is the code of any supported language and [method] is either pm or email:

poetry run python3 tests/ [lang] [method]


poetry run pylint notifier
poetry run black notifier


poetry run mypy notifier


Testing locally

To run tests directly on your machine:

poetry run pytest --notifier-config path_to_config_file --notifier-auth path_to_auth_file

"_test" will be appended to whatever database name is configured, as described above. Database tests (tests/ require that this database already exist.

I recommend using a MySQL server on localhost for tests.

Testing with Docker

A Docker Compose setup is present that will spin up a temporary MySQL database and run tests against it:

docker compose -f docker-compose.test.yml up --build --abort-on-container-exit


Status frontends are located at: