Release Notes and Operational Report Summary for Data Collection Task Design: Scheduled Tasks and Automation

Data for this category typically includes four types of daily documents: collection plans, sample specifications, authorization instructions, and task

What Data for This Category Looks Like

Data for this category typically includes four types of daily documents: collection plans, sample specifications, authorization instructions, and task schedules. Data sources include customer requirements, public data sources, collection tools, and sample libraries. Update frequency is generally per individual project or once weekly. Core fields include sample scope, collection fields, compliance check items, and task schedule nodes. The data structure is adjusted according to project requirements, with no standardized fixed format.

Constraints Imposed on Scheduled Tasks and Automation

The characteristics of this category of data impose multiple constraints on scheduled tasks and automation workflows.

  • Dispersed data sources require consistency checks for multi-source data before scheduled tasks start.
  • Low update frequency means scheduled task cycles should not be too short to avoid ineffective executions.
  • Multiple closely related document types require automated workflows to bind to matching versions of collection plans and sample specifications.
  • The most time-consuming steps of defining sample scope and confirming field specifications need pre-check nodes in automated workflows to reduce subsequent rework.
  • Severe error consequences require configuring failure retries and alert mechanisms to promptly intercept abnormal tasks.

How to Set Configurations

Configuration ItemRecommended SettingRationale
Scheduled task trigger cycle604800 seconds (7 days) or per individual project nodeMatches the weekly or per-project update frequency of this category of data
Collection compliance check thresholdFirst 3 compliant samplesCorresponds to the core verification step for collection compliance
Task timeout threshold300 secondsCovers the execution duration of standard collection workflows
Result merging ruleMerge authorization instructions and sample specification data by field priorityAligns with the core field order of daily documents for this category
Failure retry count2 timesBalances execution efficiency and exception handling requirements
Alert trigger conditionTrigger after 1 task failureResponds promptly to the high-risk error consequences of this category of data

Three Common Mistakes

  • Symptom: Scheduled task trigger time does not match the preset value, and unconfigured collection tasks execute automatically on the hour. Cause: Failed to disable the system default model call scheduled configuration in FastGPT v4.17.0, and confused the independent setting items for collection task scheduling and model call scheduling.
  • Symptom: Collection tasks return empty fields after execution. Cause: Did not bind the currently active collection plan and sample specification documents, and used expired configuration versions.
  • Symptom: Authorization instruction fields are omitted when automatically merging results. Cause: Did not configure the result merging rule, and the default logic does not cover the authorization instruction fields of core documents for this category.

How to Confirm Configurations Are Correctly Set

  • Log in to the scheduled task management page of FastGPT v4.17.0, and verify that the collection task's trigger cycle matches the preset configuration.
  • Manually trigger a test task, and check that the returned results include all configured fields: collection plan, sample specification, authorization instruction, and task schedule.
  • View the task execution log to confirm that the pre-check node for compliance checks runs normally, and that alerts are triggered in abnormal scenarios.
  • Compare the currently active collection plan document with the task configuration, and confirm that the sample scope and field specifications fully match.

Note: The values listed above are common starting points. Adjust them based on your own specific use cases and testing.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.