HTTP Interfaces and External Systems for Gas Financing Daily

What the data for this category looks like

Data for gas financing daily reports comes from local public utility regulatory platforms, internal gas group operation systems, and third-party financing service APIs. The data updates daily at midnight. It covers daily financing declaration, approval, and credit data for gas business entities within the jurisdiction. The data uses standardized JSON format, and includes fields such as the unified social credit code of the entity, financing project name, credit limit (unit: ten thousand yuan), financing term (unit: month), approval status, gas supply coverage area, and daily new gas consumption (unit: cubic meter). Each entry corresponds to a single financing record for one gas business entity.

What constraints do these characteristics impose on HTTP interfaces and external systems

The characteristics of gas financing daily report data impose clear constraints on HTTP interface and external system configuration. The fixed daily midnight update rhythm requires scheduled pull tasks to align with this window. The schedule_cron parameter must be configured to match the fixed daily trigger time. Structured JSON fields must be strictly mapped. The administrative division code for the gas supply coverage area must align with the rules of the local regulatory platform, otherwise local data association cannot be completed. The financing limit field, which uses ten thousand yuan as the unit, requires validation of the return format during interface calls to prevent non-numeric types from interfering with subsequent processing. The call frequency of third-party financing interfaces must adapt to the declaration rhythm of the gas industry to avoid frequent triggering of current-limiting mechanisms.

How to set the configuration

Configuration Item	Recommended Value	Rationale
`request_timeout`	600 seconds	The data volume of the gas financing daily report is moderate. Sufficient time must be reserved for interface response to complete data pulling and verification, to avoid task interruption due to timeout
`schedule_cron`	0 0 2 *	Matches the daily 2 AM update window to ensure that the latest daily financing report data is pulled
`response_parse_mode`	json_strict	The return format of the gas financing daily report is standardized JSON. Strict parsing mode can avoid parsing failures caused by non-standard formats
`field_mapping_rule`	Adjust according to the local regulatory platform template	Must match the exclusive administrative division code and field naming rules of the gas industry to ensure accurate data association
`rate_limit`	10 times per minute	Adapts to the current limiting rules of gas industry regulatory interfaces to avoid being blocked due to exceeding call limits
`error_retry_times`	3 times	Responds to temporary interface fluctuations and reduces data loss caused by a single failed call

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.

Three common mistakes

An interface call returns a 429 Too Many Requests error. The cause is that a reasonable rate_limit parameter is not configured, and the call frequency exceeds the current limiting threshold of the gas industry regulatory interface.
A scheduled pull task terminates early and returns an ETIMEDOUT error. The cause is that request_timeout is configured to 300 seconds, which does not match the actual response duration of the gas financing daily report interface, causing the task to fail to complete data pulling.
The financing data returned by the interface cannot be associated with local gas business entity information. The cause is that field_mapping_rule does not match the administrative division code rules of the local regulatory platform, resulting in incorrect mapping of the area field.

How to confirm the configuration is correct

Check the FastGPT scheduled task log to confirm that the trigger time matches the configured schedule_cron parameter.
Call the configured HTTP interface and check whether the returned JSON fields match the preset field_mapping_rule.
Simulate high-frequency interface calls to confirm that the error triggered when current limiting occurs conforms to the configured rate_limit rule.
Test timeout scenarios to confirm that the task triggers a retry mechanism when the interface response exceeds the configured request_timeout.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.