What the Data for This Category Looks Like
Data sources for urban gas internal office work include pipe network operation monitoring systems, customer service ticket systems, handheld patrol terminals, and gas payment platforms. Data update rhythms fall into three categories: operating parameters such as pipe network pressure and flow are updated near-real-time; patrol reports and ticket workflow data are updated immediately; customer profiles and payment records are updated via daily batch processes. Data is stored as structured documents, including fields such as station ID, device code, pressure value (unit kPa), ticket number, user address, and patrol time. Some fields have mandatory unit requirements that cannot be replaced arbitrarily.
Constraints Imposed on HTTP Interfaces and External Systems
Near-real-time operating parameters require HTTP interface calls no less frequent than once every 15 minutes. Failing to meet this interval will not support real-time monitoring needs for office scenarios. Structured fields and mandatory unit requirements require interface request parameters and return fields to strictly match preset formats. Non-matching formats will cause data parsing failures. Differences in update rhythms across data sources require separate call strategies for real-time and batch interfaces. This prevents resource waste from high-frequency calls to batch data interfaces. Gas data involves public safety. All external interface calls must pass authentication checks to block unauthorized access to sensitive data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {Exclusive key for gas internal network interfaces} | Gas internal network interfaces generally use Bearer token authentication mechanisms. This effectively prevents unauthorized access to pipe network operation data. |
variables | Configure station ID and ticket status as replaceable variables | This adapts to personalized interface call requirements for different patrol stations and ticket types. No separate interface configuration is needed for each scenario. |
responseData | Only extract pressure, workOrderId, deviceCode fields | Office scenarios only require operating parameters, tickets and device identifiers. This reduces invalid data transmission overhead. |
| Interface timeout period | 10-30 seconds | This matches the near-real-time update requirements of pipe network operation data. It avoids excessive timeout delays that impact office decision-making, and adapts to the timeout configuration logic of FastGPT v4.17.0. |
| Scheduled call interval | 5-15 minutes | This adapts to the near-real-time update rhythm of patrol data. It balances data timeliness and interface call resource usage. |
| Request retry count | 2 times | This avoids interface call failure caused by single network fluctuations. It also prevents duplicate workflows from repeated ticket submissions. |
Three Common Configuration Errors
- Phenomenon: External interface calls return a 503 Service Unavailable status code. Cause: The gas internal network interface was not added to the list of external systems allowed for FastGPT calls. Requests are blocked by security measures.
- Phenomenon: Fields extracted by
responseDataare empty or have incorrect formats. Cause: The nested field path returned by the gas interface was not matched. The correct level of structured data to extract was not specified. - Phenomenon: Voice functions cannot be called normally. Cause: The API root address of the FastGPT application was not upgraded from HTTP to HTTPS. This does not comply with the secure transmission specifications of gas internal network interfaces.
How to Confirm Correct Configuration
- Call the test interface and check if the returned
responseDataincludes preset station pressure, ticket ID and device code fields. - Check if the
Authorizationheader carries the correct Bearer token. Request legitimacy can be confirmed via authentication logs from the internal network interface. - View scheduled task call logs to confirm the call interval meets the preset range requirements.
- Simulate a ticket workflow scenario to verify that parameters replaced by
variablescorrectly match dynamic fields in interface requests.
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.