Technical Documentation and Interface Q&A for Data Collection Task Design: HTTP Interfaces and External Systems

Data for this category is typically generated around collection tasks. Data sources include customer requirements, public data sources, collection

What this category of data looks like

Data for this category is typically generated around collection tasks. Data sources include customer requirements, public data sources, collection tools, and sample libraries. Daily produced documents include collection plans, sample specifications, authorization statements, and task schedules. Data update frequency follows project cycles or once per week. Common data fields include sample scope, collection fields, authorization identifiers, and progress identifiers. There are no uniform fixed units; requirements must align with the specific needs of a single collection task. The core of this category is defining how raw data is obtained, which differs from subsequent data cleaning and quality inspection links. Errors here may lead to unavailable samples, infringement risks, or project rework.

The above data characteristics create clear constraints for HTTP interface and external system integration. Multi-source data sources require interfaces to support dynamic parameter configuration for different data sources. Update cycles based on projects or weeks require interfaces to support flexible adjustment of task cycles and trigger rules. Diverse document structures require interfaces to parse non-standard metadata such as collection plans and sample specifications. The time-consuming field specification confirmation step requires interfaces to include built-in field verification logic to reduce manual checking costs. The need for collection legality verification requires interfaces to integrate identity verification and authorization parameter validation to avoid infringement risks. Additionally, external system integration must adapt to different access protocols to ensure tasks can be triggered and executed normally.

How to Set Configurations

Configuration ItemRecommended SettingRationale
AuthorizationBearer {API Key}, valid for no more than 7 daysMeets identity verification requirements when connecting to external systems, and aligns with collection legality verification needs
variablesKey-value pairs containing sample scope, field specifications, and authorization identifiers; single value length no more than 1000 charactersMatches the document structure of daily collection plans and sample specifications
responseDataStructured fields containing task ID, collection progress, and exception logs; single field no more than 2000 charactersFacilitates subsequent task scheduling and exception troubleshooting
Task trigger cycleConfigured according to project cycles, ranging from 1 day to 30 daysAdapts to the regular update rhythm of data based on projects or weeks
Interface timeout period300 seconds to 600 secondsAligns with the typical time required for pulling multi-source data

Three Common Mistakes

  • Symptom: Interface returns 401 Unauthorized error. Cause: Authorization parameter is not configured correctly, the API key has expired and not been updated, or the collection legality verification step was not completed.
  • Symptom: External call to create application interface fails, returns parameter format error. Cause: variables parameter was not passed as required, which does not match the document structure requirements of collection plans and sample specifications.
  • Symptom: HTTP request cannot be accessed normally, error persists after switching to HTTPS. Cause: Domain name and port binding rules were not updated in FastGPT v4.17.0 configuration, and access protocol adaptation verification was not completed.

How to Confirm Correct Configuration

  • Verify the format and validity of the Authorization parameter before calling the interface, to match the authorization statement document of the current collection task.
  • Check whether the structured fields returned in responseData include task ID and progress information, to meet the tracking needs of collection schedules.
  • Test access requests using different protocols to confirm that the interface response meets expectations and adapts to the access requirements of external systems.
  • Simulate field specification parameters for collection tasks to verify whether the interface can correctly parse and trigger the corresponding collection logic.

The values provided are common starting points and should be measured against the reader's own samples.

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.