An extension for Wagtail Localize that integrates with the Smartling translation platform.
- Python 3.8+
- Django 4.2+
- Wagtail 6.1+
-
Install the package from PyPI:
python -m pip install wagtail-localize-smartling
-
Add
"wagtail_localize_smartling"
toINSTALLED_APPS
in your Django settings. Make sure it's before"wagtail_localize"
and"wagtail_localize.locales"
:INSTALLED_APPS = [ ... "wagtail_localize_smartling", "wagtail_localize", "wagtail_localize.locales", ... ]
-
Configure the plugin in your Django settings:
WAGTAIL_LOCALIZE_SMARTLING = { # Required settings (get these from "Account settings" > "API" in the Smartling dashboard) "PROJECT_ID": "<project_id>", "USER_IDENTIFIER": "<user_identifier>", "USER_SECRET": "<user_secret>", # Optional settings and their default values "REQUIRED": False, # Set this to True to always send translations to Smartling "ENVIRONMENT": "production", # Set this to "staging" to use Smartling's staging API "API_TIMEOUT_SECONDS": 5.0, # Timeout in seconds for requests to the Smartling API }
If your project's locales do not match those in Smartling (e.g.
ro
in your project,ro-RO
in Smartling), then you can provide a Wagtail locale ID to Smartling locale ID mapping via theLOCALE_TO_SMARTLING_LOCALE
setting:WAGTAIL_LOCALIZE_SMARTLING = { "LOCALE_TO_SMARTLING_LOCALE": { "ro": "ro-RO" } }
... or you can specify a callable or a dotted path to a callable in the
LOCALE_MAPPING_CALLBACK
setting:def map_project_locale_to_smartling(locale: str) -> str: if locale == "ro": return "ro-RO" return locale WAGTAIL_LOCALIZE_SMARTLING = { # ... "LOCALE_MAPPING_CALLBACK": "settings.map_project_locale_to_smartling" }
The callback receives a
WAGTAIL_CONTENT_LANGUAGES
locale code string and is expected to return a valid mapped locale ID (or the original locale ID).Note that by default, when syncing translations the project will attempt to reformat a mixed-case, Smartling-style language code (e.g.
zh-CN
) into a Django-style all-lowercase code (e.g.zh-cn
). Depending on how language codes are set up in your project, this behaviour may not be appropriate. You can disable it by settings theREFORMAT_LANGUAGE_CODES
setting toFalse
(the default isTrue
):WAGTAIL_LOCALIZE_SMARTLING = { # ... "REFORMAT_LANGUAGE_CODES": False }
If you need to customize the default Job description, you can specify a callable or a dotted path to a callable in the
JOB_DESCRIPTION_CALLBACK
setting:from typing import Iterable from wagtail_localize.models import Translation, TranslationSource def enhance_job_description( description: str, translation_source: TranslationSource, translations: Iterable[Translation] ) -> str: # note: to get the source instance, use translation_source.get_source_instance() return description + " my text."
The callback receives the default description string, the job
TranslationSource
instance, and the list of targetTranslation
s. It expected to return string.
If you want to pass a Visual Context to Smartling after a Job is synced, you need to provide a way to get hold of the appropriate URL for the page to use context. You provide this via the
VISUAL_CONTEXT_CALLBACK
setting.If this callback is defined, it will be used to send the visual context to Smartling. This step happens just after the regular sync of a Job to Smartling and only if the callback is defined.
The callback must take the Job instance and return:
- a URL for the page that shows the content used to generate that Job
- the HTML of the page.
from wagtail_localize.models import Job def get_visual_context(job: Job) -> tuple[str, str]: # This assumes the page is live and visible. If the page is a draft, you # will need a some custom work to expose the draft version of the page page = job.translation_source.get_source_instance() page_url = page.full_url html = # code to render that page instance return page_url, html
Note that if the syncing of the visual context fails, this will break the overall sync to Smartling, leaving an inconsistent state: there'll be a Job created in Smartling that's awaiting approval, but Wagtail will still think the job needs to be created. This, in turn, will mean we get duplicate job errors on the retry. Therefore, it is essential you have log handling set up to catch the
ERROR
-level alert that will happen at this point. -
Run migrations:
./manage.py migrate
For the plugin to work with a Smartling project, the Django/Wagtail internationalization- and localization-related settings must be compatible with the project's language settings:
- Only Wagtail content authored in the same language as the Smartling project's source language can be translated.
- Ideally, the language tags in
WAGTAIL_CONTENT_LANGUAGES
should be the exact, case-insensitive matches for the Smartling projects target locales. For example, if your Smartling project targetsfr-FR
, then you must have"fr-fr"
in yourWAGTAIL_CONTENT_LANGUAGES
, not just"fr"
. However, if that is not possible, use theLOCALE_TO_SMARTLING_LOCALE
orLOCALE_MAPPING_CALLBACK
settings to map your Wagtail language codes to the Smartling language codes.
The plugin provides a sync_smartling
management command that:
- Creates jobs in Smartling for new content that's awaiting translation
- Checks the status of pending translation jobs
- Downloads and applies translations for completed jobs
This command should be set to run periodically via cron
or similiar:
./manage.py sync_smartling
We recommend running this regularly, around once every 10 minutes.
As well as the sync_smartling
management command, the plugin sets the callbackUrl
field on the Smartling jobs it creates to the URL of webhook handler view. This handler will proactively download and apply translations from completed jobs without waiting for the next sync_smartling
run. This URL is based on the WAGTAILADMIN_BASE_URL
setting, so it's important that's set and accessible from the internet.
Warning
Callbacks should not be relied on as the only method for downloading translations. Always make sure the sync_smartling
command is run regularly to ensure your translations are up-to-date.
flowchart LR
submitPageForTranslation["Page submitted for translation in Wagtail"]
submitToSmartling{"
User choses to submit
translation job to Smartling?
"}
enterSmartlingJobConfig["User enters Smartling job config"]
pendingSmartlingJobCreated["A pending Smartling job is created in Wagtail"]
wagtailSyncedTranslationEditView["
User is redirected to Wagtail's
synced translation edit view
"]
submitPageForTranslation-->submitToSmartling
submitToSmartling-->|Yes|enterSmartlingJobConfig
enterSmartlingJobConfig-->pendingSmartlingJobCreated
pendingSmartlingJobCreated-->wagtailSyncedTranslationEditView
submitToSmartling-->|No|wagtailSyncedTranslationEditView
django-admin sync_smartling
, the below flowchart describes the logic run for each job
flowchart LR
jobSentToSmartling{"Has the job been
sent to Smartling yet?"}
sendJobToSmartling["Send job to Smartling"]
jobFinished{"Is the job finalised?"}
updateJobFromSmartling["Update job from Smartling"]
fin["End"]
jobSentToSmartling-->|Yes|jobFinished
jobSentToSmartling-->|No|sendJobToSmartling
sendJobToSmartling-->fin
jobFinished-->|Yes|fin
jobFinished-->|No|updateJobFromSmartling
This app provides a single wagtail_localize.signals.translation_imported
signal that is sent when translation are imported from Smartling.
Signal kwargs:
sender
: Thewagtail_localize_smartling.models.Job
classinstance
: TheJob
instance for which translation are being importedtranslation
: Thewagtail_localize.models.Translation
instance the translations are being imported to. Usetranslation.get_target_instance()
to get the model instance that the translation is for (e.g. a page or snippet)
- Bump the version in https://github.com/mozilla/wagtail-localize-smartling/blob/main/src/wagtail_localize_smartling/__init__.py
- Update CHANGELOG.md
- Commit and land the changes in main (via a PR, or committing to main if you're sure this won't cause clashes)
- Tag the release as
vX.Y.Z
onmain
– or make a tag via the GH UI in Step 6. (Remember to push up the new tag if you made it locally, withgit push --tags
) - Add a new Release via https://github.com/mozilla/wagtail-localize-smartling/releases
- Select (or create) the new tag, add the title and description
- Ensure the new Release is marked as latest (see checkboxes below the Release description)
- Publish the new Release within GitHub - automation will take of the rest and push it up to PyPI