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This is a multi-steps process: * get a update's `user_id` from the metadata * store the `user_id` (`lastUpdatedBy`) and current date (`lastUpdatedAt`) for the document in Redis on every updates * fetch `lastUpdatedAt` and `lastUpdatedBy` from Redis on document flush * send the data to web to be persisted in Mongo |
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DocUpdaterApp.coffee | ||
DocUpdaterClient.coffee | ||
MockProjectHistoryApi.coffee | ||
MockTrackChangesApi.coffee | ||
MockWebApi.coffee |