Document and Material Drafting for Urban Public Transport: HTTP Interfaces and External Systems

Document and Material Drafting for Urban Public Transport: HTTP Interfaces and External Systems

What the data for this category looks like

Document and material data for urban public transport mainly comes from internal operation systems, ticket settlement platforms, station inspection systems, and route scheduling modules. Daily operation documents are updated daily, monthly settlement reports are updated monthly, and route adjustment documents are generated on demand. All documents include standard fields such as route number, station name, operation hours, ticket passenger trips, and inspection items. Units include passenger trips, kilometers, hours, and others. The length of a single document usually ranges from 500 to 2000 characters. Some monthly summary documents can reach up to 5000 characters.

Multiple data sources require interfaces to support connecting external systems with different permission levels. Independent authentication parameters must be configured for different modules such as ticket, scheduling, and inspection. Wide variation in document lengths means short text interfaces must adapt to request payloads under 500 characters, while long text interfaces must support 5000-character transmission requirements. Different update rhythms require interface call frequencies to match business scenarios: daily operation documents are pulled every hour, and monthly reports only need to be called once per month. Wide coverage of fields requires filtering non-essential fields to reduce transmission overhead.

How to set the configurations

Configuration ItemRecommended ValueRationale
AuthorizationBearer {API key for the corresponding system}All internal system interfaces for urban public transport use Bearer token authentication, which complies with the interface authentication specification of FastGPT v4.17.0
responseDataroute number, station name, ticket passenger tripsOnly extract core fields required for document drafting, reduce redundant data returned by the interface, and improve transmission efficiency
Single request timeout30-60 secondsMonthly summary documents have large data volumes, require sufficient response time to avoid request interruptions
variables{"start_date": "2024-01-01", "end_date": "2024-01-31"}Pull monthly operation data on a fixed cycle, adapting to the generation needs of monthly documents
Interface call trigger timingTriggered at the pre-node of document generationAvoid meaningless scheduled calls, only call external interfaces when documents need to be generated, reducing system load

Three common mistakes

  • Phenomenon: External interface returns 401 Unauthorized error, prompting invalid credentials. Cause: Failed to distinguish authentication keys for different public transport operation systems, mixed Authorization parameters from different modules.
  • Phenomenon: Station name field is missing in generated documents. Cause: Corresponding field not configured in responseData, interface did not return required business data.
  • Phenomenon: Only some question category branches trigger HTTP requests, other branches do not call the interface. Cause: HTTP request module not mounted to downstream nodes of all question category branches, only bound to some branches.

How to confirm the configuration is correct

  • Call the test interface, check if the returned JSON data includes core fields such as route number and station name, confirm that the responseData configuration takes effect.
  • Check if the format of the Authorization parameter complies with Bearer token specifications, use an interface debugging tool to verify authentication passes.
  • Simulate the monthly document generation scenario, trigger the interface call, confirm that the request time range matches the cycle configured in variables.
  • Check system logs, confirm that interface call frequencies match business update rhythms, with no invalid calls.

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 2026-09-28.