What data for this category looks like
Data for this category is primarily sourced from internal operational reports of education service institutions and regional education service statistical datasets published by industry associations. Data updates run on a daily schedule. Each midnight, the daily report content for the previous calendar day is updated. The documentation uses a structured format. Each single record includes fields such as service segment, accounting period, input cost, total revenue, and yield rate indicator. Input cost and total revenue are measured in Chinese Yuan. The yield rate indicator is a dimensionless coefficient with no fixed percentage baseline.
Constraints imposed by these characteristics on HTTP interfaces and external systems
The data characteristics of this category create multiple constraints for HTTP interfaces and external systems. The scattered data sources require interfaces to support multi-source authentication mechanisms. This adapts to different access rules for institution-owned APIs and public datasets. The daily update schedule for daily reports limits interface call frequency to once per day. This prevents resource occupation from high-frequency requests. The fixed naming of structured fields requires interface return fields to strictly align with external system mapping configurations. This prevents parsing failures caused by missing fields or name mismatches. The yield rate indicator with no fixed percentage baseline requires external systems to retain the original field value. Unauthorized unit conversion logic is prohibited. Additionally, the classification of multiple service segments requires interfaces to support parameter configuration for filtering by service type.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
EXTERNAL_DATA_SYNC_INTERVAL | 86400 seconds | Matches the daily update schedule of education service yield rate daily reports, to avoid invalid calls |
API_FIELD_MAPPING | Map by service segment/accounting period/input cost/total revenue/yield rate indicator | Aligns with the field requirements of structured data, to prevent parsing errors |
HTTP_REQUEST_TIMEOUT | 30 seconds | Adapts to the average response time of public datasets and institution APIs, to avoid timeout interruptions |
AUTH_TYPE | API_KEY or OAuth2.0 | Adapts to authentication requirements for multi-source data, covering access rules for institution-owned APIs and public datasets |
DATA_FILTER_PARAM | service_type=vocational education, K12 training | Supports filtering by education service segment, matching the multi-class data characteristics |
PARSE_RAW_DATA_FLAG | true | Retains the dimensionless value of the original yield rate indicator, prohibits unauthorized unit conversion |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on internal samples before finalizing settings.
Three common mistakes
- Symptom: Triggering a data sync in an offline environment displays a loading timeout in the interface. The console prompts that the api.github.com domain cannot be resolved. Cause: Local data cache rules for offline environments are not configured. Requests fail because they rely on external domain name resolution.
- Symptom: After external systems receive data, the yield rate field displays empty values or abnormal formatting. Cause:
API_FIELD_MAPPINGis not configured correctly. Parsing fails due to mismatched field names and interface return values. - Symptom: The number of results returned after calling the interface exceeds the expected range. Cause:
DATA_FILTER_PARAMis not set. Data is not filtered by service type, so full non-target category data is returned.
How to confirm correct configuration
- Manually trigger a data sync. Check whether the external system receives structured data that meets expectations.
- View external data source logs in the FastGPT console. Confirm that the interface request’s authentication information, request parameters, and configuration items match.
- Compare the original fields returned by the interface with the field values stored in the external system. Confirm that no unauthorized unit conversion logic has been added.
- Wait for one full sync cycle. Check whether data is automatically updated at the configured interval.
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.