Hooks catalog
Tutor can be extended by making use of “hooks”. Hooks are either “actions” or “filters”. Here, we list all instances of actions and filters that are used across Tutor. Plugin developers can leverage these hooks to modify the behaviour of Tutor.
The underlying Python hook classes and API are documented here.
- class tutor.hooks.Actions
This class is a container for all actions used across Tutor (see
tutor.core.hooks.Action
). Actions are used to trigger callback functions at specific moments in the Tutor life cycle.To create a new callback for an existing action, start by importing the hooks module:
from tutor import hooks
Then create your callback function and decorate it with the
add
method of the action you’re interested in:@hooks.Actions.SOME_ACTION.add() def your_action(): # Do stuff here
Your callback function should have the same signature as the original action. For instance, to add a callback to the
COMPOSE_PROJECT_STARTED
action:@hooks.Actions.COMPOSE_PROJECT_STARTED.add(): def run_this_on_start(root, config, name): print(root, config["LMS_HOST", name])
Your callback function will then be called whenever the
COMPOSE_PROJECT_STARTED.do
method is called, i.e: whentutor local start
ortutor dev start
is run.Note that action callbacks do not return anything.
For more information about how actions work, check out the
tutor.core.hooks.Action
API.- COMPOSE_PROJECT_STARTED: Action[[str, Config, str]] = <tutor.core.hooks.actions.Action object>
Triggered whenever a “docker compose start”, “up” or “restart” command is executed.
- Parameters:
root (str) – project root.
config (dict) – project configuration.
name (str) – docker-compose project name.
- CONFIG_INTERACTIVE: Action[[Config]] = <tutor.core.hooks.actions.Action object>
Triggered after all interactive questions have been asked. You should use this action if you want to add new questions.
- Parameters:
config (dict) – project configuration.
- CONFIG_LOADED: Action[[Config]] = <tutor.core.hooks.actions.Action object>
This action is called at the end of the tutor.config.load_full function. Modifying this object will not trigger changes in the configuration. For all purposes, it should be considered read-only.
- Parameters:
config (dict) – project configuration.
- CORE_READY: Action[[]] = <tutor.core.hooks.actions.Action object>
Called whenever the core project is ready to run. This action is called as soon as possible. This is the right time to discover plugins, for instance. In particular, we auto-discover the following plugins:
Python packages that declare a “tutor.plugin.v0” entrypoint.
Python packages that declare a “tutor.plugin.v1” entrypoint.
YAML and Python plugins stored in ~/.local/share/tutor-plugins (as indicated by
tutor plugins printroot
)When running the binary version of Tutor, official plugins that ship with the binary are automatically discovered.
Discovering a plugin is typically done by the Tutor plugin mechanism. Thus, plugin developers probably don’t have to implement this action themselves.
This action does not have any parameter.
- DO_JOB: Action[[str, Any]] = <tutor.core.hooks.actions.Action object>
Called just before triggering the job tasks of any
... do <job>
command.- Parameters:
job (str) – job name.
args – job positional arguments.
kwargs – job named arguments.
- PLUGINS_LOADED: Action[[]] = <tutor.core.hooks.actions.Action object>
Triggered after all plugins have been loaded. At this point the list of loaded plugins may be obtained from the
Filters.PLUGINS_LOADED
filter.This action does not have any parameter.
- PLUGIN_LOADED: Action[[str]] = <tutor.core.hooks.actions.Action object>
Triggered when a single plugin needs to be loaded. Only plugins that have previously been discovered can be loaded (see
CORE_READY
).Plugins are typically loaded because they were enabled by the user; the list of plugins to enable is found in the project root (see
PROJECT_ROOT_READY
).Most plugin developers will not have to implement this action themselves, unless they want to perform a specific action at the moment the plugin is enabled.
- Parameters:
plugin (str) – plugin name.
- PLUGIN_UNLOADED: Action[str, str, Config] = <tutor.core.hooks.actions.Action object>
Triggered when a single plugin is unloaded. Only plugins that have previously been loaded can be unloaded (see
PLUGIN_LOADED
).Plugins are typically unloaded because they were disabled by the user.
Most plugin developers will not have to implement this action themselves, unless they want to perform a specific action at the moment the plugin is disabled.
- Parameters:
plugin (str) – plugin name.
root (str) – absolute path to the project root.
config – full project configuration
- class tutor.hooks.Filters
Here are the names of all filters used across Tutor. (see
tutor.core.hooks.Filter
) Filters are used to modify some data at specific points during the Tutor life cycle.To add a callback to an existing filter, start by importing the hooks module:
from tutor import hooks
Then create your callback function and decorate it with
add
method of the filter instance you need:@hooks.Filters.SOME_FILTER.add() def your_filter_callback(some_data): # Do stuff here with the data ... # return the modified data return some_data
Note that your filter callback should have the same signature as the original filter. The return value should also have the same type as the first argument of the callback function.
Many filters have a list of items as the first argument. Quite often, plugin developers just want to add a new item at the end of that list. In such cases there is no need for a callback function. Instead, you can use the
add_item
method. For instance, you can add a “hello” to the init task of the lms container by modifying theCLI_DO_INIT_TASKS
filter:hooks.Filters.CLI_DO_INIT_TASKS.add_item(("lms", "echo hello"))
To add multiple items at a time, use
add_items
:hooks.Filters.CLI_DO_INIT_TASKS.add_items( ("lms", "echo 'hello from lms'"), ("cms", "echo 'hello from cms'"), )
The
echo
commands will then be run every time the “init” tasks are run, for instance duringtutor local launch
.For more information about how filters work, check out the
tutor.core.hooks.Filter
API.- APP_PUBLIC_HOSTS: Filter[list[str], [Literal['local', 'dev']]] = <tutor.core.hooks.filters.Filter object>
Hostnames of user-facing applications.
So far this filter is only used to inform the user of application urls after they have run
launch
.- Parameters:
hostnames (list[str]) – items from this list are templates that will be rendered by the environment.
context_name (str) – either “local” or “dev”, depending on the calling context.
- CLI_COMMANDS: Filter[list[click.Command], []] = <tutor.core.hooks.filters.Filter object>
List of command line interface (CLI) commands.
- Parameters:
commands (list) – commands are instances of
click.Command
. They will all be added as subcommands of the maintutor
command.
- CLI_DO_COMMANDS: Filter[list[Callable[[Any], Iterable[tuple[str, str]]]], []] = <tutor.core.hooks.filters.Filter object>
List of
do ...
commands.- Parameters:
commands (list) – see
CLI_COMMANDS
. These commands will be added as subcommands to thelocal/dev/k8s do
commands. They must return a list of (“service name”, “service command”) tuples. Each “service command” will be executed in the “service” container, both in local, dev and k8s mode.
- CLI_DO_INIT_TASKS: Filter[list[tuple[str, str]], []] = <tutor.core.hooks.filters.Filter object>
List of initialization tasks (scripts) to be run in the
init
job. This job includes all database migrations, setting up, etc. To run some tasks before or after others, they should be assigned a different priority.- Parameters:
tasks (list[tuple[str, str]]) – list of
(service, task)
tuples. Each task is essentially a bash script to be run in the “service” container. Scripts may contain Jinja markup, similar to templates.
- CMS_WORKER_COMMAND: Filter[list[str], []] = <tutor.core.hooks.filters.Filter object>
List of parameters to use when starting the CMS Celery worker
celery worker ...
.- Parameters:
command (list[str]) – the list of paramaters to use as the celery command.
- COMPOSE_MOUNTS: Filter[list[tuple[str, str]], [str]] = <tutor.core.hooks.filters.Filter object>
List of folders to bind-mount in docker-compose containers, either in
tutor local
ortutor dev
.This filter is for processing values of the
MOUNTS
setting such as:tutor mounts add /path/to/edx-platform
In this example, this host folder would be bind-mounted in different containers (lms, lms-worker, cms, cms-worker, lms-job, cms-job) at the /openedx/edx-platform location. Plugin developers may implement this filter to define custom behaviour when mounting folders that relate to their plugins. For instance, the ecommerce plugin may process the
/path/to/ecommerce
value.To also bind-mount these folder at build time, implement also the
IMAGES_BUILD_MOUNTS
filter.- Parameters:
mounts (list[tuple[str, str]]) – each item is a
(service, path)
tuple, whereservice
is the name of the docker-compose service andpath
is the location in the container where the folder should be bind-mounted. Note: the path must be slash-separated (“/”). Thus, do not useos.path.join
to generate thepath
because it will fail on Windows.name (str) – basename of the host-mounted folder. In the example above, this is “edx-platform”. When implementing this filter you should check this name to conditionally add mounts.
- CONFIG_DEFAULTS: Filter[list[tuple[str, Any]], []] = <tutor.core.hooks.filters.Filter object>
Declare new default configuration settings that don’t necessarily have to be saved in the user
config.yml
file. Default settings may be overridden withtutor config save --set=...
, in which case they will automatically be added toconfig.yml
.- Parameters:
items (list[tuple[str, ...]]) – list of (name, value) new settings. All new entries must be prefixed with the plugin name in all-caps.
- CONFIG_OVERRIDES: Filter[list[tuple[str, Any]], []] = <tutor.core.hooks.filters.Filter object>
Modify existing settings, either from Tutor core or from other plugins. Beware not to override any important setting, such as passwords! Overridden setting values will be printed to stdout when the plugin is disabled, such that users have a chance to back them up.
- Parameters:
items (list[tuple[str, ...]]) – list of (name, value) settings.
- CONFIG_UNIQUE: Filter[list[tuple[str, Any]], []] = <tutor.core.hooks.filters.Filter object>
Declare unique configuration settings that must be saved in the user
config.yml
file. This is where you should declare passwords and randomly-generated values that are different from one environment to the next.- Parameters:
items (list[tuple[str, ...]]) – list of (name, value) new settings. All names must be prefixed with the plugin name in all-caps.
- CONFIG_USER: Filter[list[tuple[str, Any]], []] = <tutor.core.hooks.filters.Filter object>
Used to declare unique key:value pairs in the
config.yml
file that will be overwritten ontutor config save
. This is where you should declare passwords and other secrets that need to be fetched live from an external secrets store. Most users will not need to use this filter but it will allow you to programmatically fetch and set secrets from an external secrets store such as AWS Secrets Manager via boto3.Values passed in to this filter will overwrite existing values in the
config.yml
file.- Parameters:
items (list[tuple[str, ...]]) – list of (name, value) new settings. All names must be prefixed with the plugin name in all-caps.
- DOCKER_BUILD_COMMAND: Filter[list[str], []] = <tutor.core.hooks.filters.Filter object>
Use this filter to modify the
docker build
command.- Parameters:
command (list[str]) – the full build command, including options and arguments. Note that these arguments do not include the leading
docker
command.
- ENV_PATCHES: Filter[list[tuple[str, str]], []] = <tutor.core.hooks.filters.Filter object>
List of patches that should be inserted in a given location of the templates.
- Parameters:
patches (list[tuple[str, str]]) – pairs of (name, content) tuples. Use this filter to modify the Tutor templates.
- ENV_PATTERNS_IGNORE: Filter[list[str], []] = <tutor.core.hooks.filters.Filter object>
List of template path patterns to be ignored when rendering templates to the project root. By default, we ignore:
hidden files (
.*
)__pycache__
directories and*.pyc
files“partials” directories.
Ignored patterns are overridden by include patterns; see
ENV_PATTERNS_INCLUDE
.- Parameters:
patterns (list[str]) – list of regular expression patterns. E.g:
r"(.*/)?ignored_file_name(/.*)?"
.
- ENV_PATTERNS_INCLUDE: Filter[list[str], []] = <tutor.core.hooks.filters.Filter object>
List of template path patterns to be included when rendering templates to the project root. Patterns from this list will take priority over the patterns from
ENV_PATTERNS_IGNORE
.- Parameters:
patterns (list[str]) – list of regular expression patterns. See
ENV_PATTERNS_IGNORE
.
- ENV_TEMPLATE_FILTERS: Filter[list[tuple[str, Callable[..., Any]]], []] = <tutor.core.hooks.filters.Filter object>
List of Jinja2 filters that will be available in templates. Jinja2 filters are basically functions that can be used as follows within templates:
{{ "somevalue"|my_filter }}
Note that Jinja2 filters are a completely different thing than the Tutor hook filters, although they share the same name.
Out of the box, Tutor comes with the following filters:
common_domain
: Return the longest common name between two domain names. Example:{{ "studio.demo.myopenedx.com"|common_domain("lms.demo.myopenedx.com") }}
is equal to “demo.myopenedx.com”.encrypt
: Encrypt an arbitrary string. The encryption process is compatible with htpasswd verification.list_if
: In a list of(value, condition)
tuples, return the list ofvalue
for which thecondition
is true.long_to_base64
: Base-64 encode a long integer.iter_values_named
: Yield the values of the configuration settings that match a certain pattern. Example:{% for value in iter_values_named(prefix="KEY", suffix="SUFFIX")%}...{% endfor %}
. By default, only non-empty values are yielded. To iterate also on empty values, pass theallow_empty=True
argument.patch
: See patches.random_string
: Return a random string of the given length composed of ASCII letters and digits. Example:{{ 8|random_string }}
.reverse_host
: Reverse a domain name (see reference). Example:{{ "demo.myopenedx.com"|reverse_host }}
is equal to “com.myopenedx.demo”.rsa_import_key
: Import a PEM-formatted RSA key and return the corresponding object.rsa_private_key
: Export an RSA private key in PEM format.walk_templates
: Iterate recursively over the templates of the given folder. For instance:{% for file in "apps/myplugin"|walk_templates %} ... {% endfor %}
- Parameters:
filters – list of (name, function) tuples. The function signature should correspond to its usage in templates.
- ENV_TEMPLATE_ROOTS: Filter[list[str], []] = <tutor.core.hooks.filters.Filter object>
List of all template root folders.
- Parameters:
templates_root (list[str]) – absolute paths to folders which contain templates. The templates in these folders will then be accessible by the environment renderer using paths that are relative to their template root.
- ENV_TEMPLATE_TARGETS: Filter[list[tuple[str, str]], []] = <tutor.core.hooks.filters.Filter object>
List of template source/destination targets.
- Parameters:
targets (list[tuple[str, str]]) – list of (source, destination) pairs. Each source is a path relative to one of the template roots, and each destination is a path relative to the environment root. For instance: adding
("c/d", "a/b")
to the filter will cause all files from “c/d” to be rendered to thea/b/c/d
subfolder.
- ENV_TEMPLATE_VARIABLES: Filter[list[tuple[str, Any]], []] = <tutor.core.hooks.filters.Filter object>
List of extra variables to be included in all templates.
Out of the box, this filter will include all configuration settings, but also the following:
HOST_USER_ID
: the numerical ID of the user on the host.TUTOR_APP
: the app name (“tutor” by default), used to determine the dev/local project names.TUTOR_VERSION
: the current version of Tutor, as a string in the form MAJOR.MINOR.PATCH.TUTOR_VERSION_MAJOR
: the MAJOR part of TUTOR_VESRION, as an integer.TUTOR_VERSION_MINOR
: the MINOR part of TUTOR_VERSION, as an integer.iter_values_named
: a function to iterate on variables that start or end with a given string.iter_mounts
: a function that yields compose-compatible bind-mounts for any given service.iter_mounted_directories
: iterate on bind-mounted directory names.patch
: a function to incorporate extra content into a template.
- Parameters:
filters – list of (name, value) tuples.
- IMAGES_BUILD: Filter[list[tuple[str, str | tuple[str, ...], str, tuple[str, ...]]], [Config]] = <tutor.core.hooks.filters.Filter object>
List of images to be built when we run
tutor images build ...
.- Parameters:
tasks (list[tuple[str, tuple[str, ...], str, tuple[str, ...]]]) –
list of
(name, path, tag, args)
tuples.name
is the name of the image, as intutor images build myimage
.path
is the relative path to the folder that contains the Dockerfile. This can be either a string or a tuple of strings. For instance("myplugin", "build", "myservice")
indicates that the template will be read frommyplugin/build/myservice/Dockerfile
. This argument value would be equivalent to “myplugin/build/myservice”.tag
is the Docker tag that will be applied to the image. It will be rendered at runtime with the user configuration. Thus, the image tag could be"{{ DOCKER_REGISTRY }}/myimage:{{ TUTOR_VERSION }}"
.args
is a list of arguments that will be passed todocker build ...
.
config (Config) – user configuration.
- IMAGES_BUILD_MOUNTS: Filter[list[tuple[str, str]], [str]] = <tutor.core.hooks.filters.Filter object>
List of host directories to be automatically bind-mounted in Docker images at build time. For instance, this is useful to build Docker images using a custom repository on the host.
This filter works similarly to the
COMPOSE_MOUNTS
filter, with a few differences.- Parameters:
mounts (list[tuple[str, str]]) – each item is a pair of
(name, value)
used to generate a build context at build time. See the corresponding Docker documentation. The following option will be added to thedocker buildx build
command:--build-context={name}={value}
. If the Dockerfile contains a “name” stage, then that stage will be replaced by the corresponding directory on the host.name (str) – full path to the host-mounted folder. As opposed to
COMPOSE_MOUNTS
, this is not just the basename, but the full path. When implementing this filter you should check this path (for instance: withos.path.basename(path)
) to conditionally add mounts.
- IMAGES_BUILD_REQUIRED: Filter[list[str], [Literal['local', 'dev']]] = <tutor.core.hooks.filters.Filter object>
List of image names which must be built prior to launching the platform. These images will be built on launch, in “dev” and “local” mode (but not in Kubernetes).
- Parameters:
names (list[str]) – list of image names.
context_name (str) – either “local” or “dev”, depending on the calling context.
- IMAGES_PULL: Filter[list[tuple[str, str]], [Config]] = <tutor.core.hooks.filters.Filter object>
List of images to be pulled when we run
tutor images pull ...
.- Parameters:
tasks (list[tuple[str, str]]) –
list of
(name, tag)
tuples.name
is the name of the image, as intutor images pull myimage
.tag
is the Docker tag that will be applied to the image. (seeIMAGES_BUILD
).
config (Config) – user configuration.
- IMAGES_PUSH: Filter[list[tuple[str, str]], [Config]] = <tutor.core.hooks.filters.Filter object>
List of images to be pushed when we run
tutor images push ...
. Parameters are the same as forIMAGES_PULL
.
- IS_FILE_RENDERED: Filter[bool, [str]] = <tutor.core.hooks.filters.Filter object>
Use this filter to determine whether a file should be rendered. This can be useful in scenarios where certain types of files need special handling, such as binary files, which should not be rendered as text.
This filter expects a boolean return value that indicates whether the file should be rendered.
- Parameters:
should_render (bool) – Initial decision on rendering the file, typically set to True.
file_path (str) – The path to the file being checked.
- LMS_WORKER_COMMAND: Filter[list[str], []] = <tutor.core.hooks.filters.Filter object>
List of parameters to use when starting the LMS Celery worker
celery worker ...
.- Parameters:
command (list[str]) – the list of paramaters to use as the celery command.
- MOUNTED_DIRECTORIES: Filter[list[tuple[str, str]], []] = <tutor.core.hooks.filters.Filter object>
List of directories that will be automatically bind-mounted in an image (at build-time) and a container (at run-time).
Whenever a user runs:
tutor mounts add /path/to/name
, “name” will be matched to the regular expressions in this filter. If it matches, then the directory will be automatically bind-mounted in the matching Docker image at build time and run time. At build-time, they will be added to a layer named “mnt-{name}”. At run-time, they wll be mounted in/mnt/<name>
.In the case of edx-platform,
pip install -e .
will be run in this directory at build-time. And the same host directory will be bind-mounted in that location at run time. This allows users to transparently work on edx-platform dependencies, such as Python packages.By default, xblocks and some common edx-platform packages are already present in this filter, and associated to the “openedx” image. Add your own Python dependencies to this filter to make it easier for users to work on the dependencies of your app.
See the list of all edx-platform base requirements here: https://github.com/openedx/edx-platform/blob/master/requirements/edx/base.txt
This filter was mostly designed for edx-platform, but it can be used by any Python-based Docker image as well. The Dockerfile must declare mounted layers:
{% for name in iter_mounted_directories(MOUNTS, "yourimage") %} FROM scratch AS mnt-{{ name }} {% endfor %}
Then, Python packages are installed with:
{% for name in iter_mounted_directories(MOUNTS, "yourimage") %} COPY --from=mnt-{{ name }} --chown=app:app / /mnt/{{ name }} RUN pip install -e "/mnt/{{ name }}" {% endfor %}
And the docker-compose service must include the following:
volumes: {%- for mount in iter_mounts(MOUNTS, "yourimage") %} - {{ mount }} {%- endfor %}
- Parameters:
name_regex (list[tuple[str, str]]) – Each tuple is the name of an image and a regular expression. For instance:
("openedx", r".*xblock.*")
.
- PLUGINS_INFO: Filter[list[tuple[str, str]], []] = <tutor.core.hooks.filters.Filter object>
Information about each installed plugin, including its version. Keep this information to a single line for easier parsing by 3rd-party scripts.
- Parameters:
versions (list[tuple[str, str]]) – each pair is a
(plugin, info)
tuple.
- PLUGINS_INSTALLED: Filter[list[str], []] = <tutor.core.hooks.filters.Filter object>
List of installed plugins. In order to be added to this list, a plugin must first be discovered (see
Actions.CORE_READY
).- Parameters:
plugins (list[str]) – plugin developers probably don’t have to implement this filter themselves, but they can apply it to check for the presence of other plugins.
- PLUGINS_LOADED: Filter[list[str], []] = <tutor.core.hooks.filters.Filter object>
List of loaded plugins.
- Parameters:
plugins (list[str]) – plugin developers probably don’t have to modify this filter themselves, but they can apply it to check whether other plugins are enabled.
- PLUGIN_INDEXES: Filter[list[str], []] = <tutor.core.hooks.filters.Filter object>
List of plugin indexes that are loaded when we run
tutor plugins update
. By default, the plugin indexes are stored in the user configuration. This filter makes it possible to extend and modify this list with plugins.- Parameters:
indexes (list[str]) – list of index URLs. Remember that entries further in the list have priority.
- PLUGIN_INDEX_ENTRY_TO_INSTALL: Filter[dict[str, str], []] = <tutor.core.hooks.filters.Filter object>
When installing an entry from a plugin index, the plugin data from the index will go through this filter before it is passed along to
pip install
. Thus, this is a good place to add custom authentication when you need to install from a private index.- Parameters:
plugin (dict[str, str]) – the dict entry from the plugin index. It includes an additional “index” key which contains the plugin index URL.
- class tutor.hooks.Contexts
Here we list all the
contexts
that are used across Tutor. It is not expected that plugin developers will ever need to use contexts. But if you do, this is how it should be done:from tutor import hooks with hooks.Contexts.SOME_CONTEXT.enter(): # do stuff and all created hooks will include SOME_CONTEXT ... # Apply only the hook callbacks that were created within SOME_CONTEXT hooks.Actions.MY_ACTION.do_from_context(str(hooks.Contexts.SOME_CONTEXT)) hooks.Filters.MY_FILTER.apply_from_context(hooks.Contexts.SOME_CONTEXT.name)
- APP: dict[str, Context] = {}
Dictionary of name/contexts. Each value is a context that we enter whenever we create hooks for a specific application or plugin. For instance, plugin “myplugin” will be enabled within the “app:myplugin” context.
- PLUGINS = <tutor.core.hooks.contexts.Context object>
Plugins will be installed and enabled within this context.
- PLUGINS_V0_ENTRYPOINT = <tutor.core.hooks.contexts.Context object>
Python entrypoint plugins will be installed within this context.
- PLUGINS_V0_YAML = <tutor.core.hooks.contexts.Context object>
YAML-formatted v0 plugins will be installed within this context.