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* add last_active_at to users page * Use our JSON encoder as the SQLAlchemy JSON serializer. * Fixed some inconsistencies in the user query class methods. * Minor cosmetic fixes. * Add some make tasks for easier development. * Add user detail sync system based on Redis backend. There is a periodic Celery task that updates a new “details” JSONB column in the “user” table with the data from Redis. Currently this is only used for tracking the date of last activity of a user but can be extended with other user information later. Updates a few dependencies. * Normalize a few Flask extension API names. * Reduce implementation complexity of JSONEncoder. * Use request_started signal to make sure we have a request context. Otherwise loading the user based on the request won’t work. * Fix test that checks if disabled users can login. This correctly uses a URL path that includes the current organization and checks for the error message. The previous test seems to have been a red herring. * Minor cosmetic fixes. * Remove needs_sync in favor of just deleting things. * Misc review fixes. * Ignore line length. * Split redash.models import several modules. * Move walrus UTC DateTimeField into redash.models.types. * Restore distinctly loading dashboards. * Simplify default values for user details. * Define __repr__ methods generically. * Consistently have underscore methods at the top of model methods. * Fix tests. * Split redash.models import several modules. * Update to latest walrus and redis-py. * Update kombu to 4.2.2 for redis-py 3.x compatibility. * Remove redis-cli container after running Make task. * Move buffer condition after datetime/time conditions. * Update walrus to 0.7.1. * Refactor some query APIs. This uses the flask-sqlalchemy helpers consistently and makes more use of mixins. * Post rebase fixes. * Use correct kombu version * Fix migration down revision
4 lines
240 B
Python
4 lines
240 B
Python
from .general import record_event, version_check, send_mail, sync_user_details
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from .queries import QueryTask, refresh_queries, refresh_schemas, cleanup_tasks, cleanup_query_results, execute_query
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from .alerts import check_alerts_for_query
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