What This Category of Data Entails
Data for this category typically originates from elderly care service information platforms, civil affairs statistics systems, fire safety inspection records, and institutional operation ledgers. The update frequency is monthly. Commonly processed documents include filing materials, operation subsidy applications, service quality inspection forms, safety hazard rectification ledgers, and elderly admission files. Core fields include the institution’s unified social credit code, filing number, actual number of beds, inspection date, rectification completion status, subsidy application amount, and others. Most field units are beds and yuan, and date fields use standard formats.
Constraints Imposed on HTTP Interfaces and External Systems
The monthly update frequency of data sources means interface call frequency must be kept low. Batch data pull operations must follow a monthly cycle to avoid frequent requests that increase system load. Multi-source data integration requires adapting to authentication rules of different systems, while unifying field formats across data sources. For example, standardize bed counts reported by different institutions to integer units. Diverse document types mean interface request parameters must support dynamic switching. Data validation during the review process must cover field completeness for multiple document types including filings, subsidies, and rectifications, to prevent invalid data from entering the review workflow.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Interface Authentication Configuration | Enable the Authorization request header and carry authentication information in the format Bearer {Institution-specific Token} | Adapts to standard authentication rules of civil affairs regulatory systems, ensuring legitimate interface access |
| Global Variable Configuration | Preconfigure a monthly pull cycle variable bound to the time range from the first day of the previous month to the last day of the current month | Matches the monthly update rhythm of data sources, accurately pulling all eligible review data for the current month |
| Response Data Filtering | Only retain core fields including Institution Name, Filing Number, Number of Beds, Inspection Results | Reduces invalid data transmission and lowers interface response latency |
| Request Timeout Setting | 600 seconds | Covers processing time for multi-source data consolidation, preventing request interruptions due to large data volumes |
| Failure Retry Configuration | Retry 3 times after a failure | Addresses occasional interface fluctuations from fire safety inspection systems, improving data pull success rates |
| Field Mapping Configuration | Unify field names and units across different data sources | Adapts to format differences across multiple data sources, ensuring consistency of review data |
Three Common Mistakes
- Symptom: The interface returns the
401 Unauthorizedstatus code, and filing data cannot be pulled. Cause: TheAuthorizationrequest header is not configured correctly, or the token has expired and not been updated, leading to authentication failure. - Symptom: The bed count field in pulled data is empty. Cause: Global variable configuration does not adapt to field mapping rules for different institutions, leading to inconsistent fields across multi-source data, with fields from some data sources not extracted correctly.
- Symptom: Interface request times out, interrupting the review process. Cause: No reasonable timeout period is set, and the failure retry mechanism is not enabled, leading to uncompleted responses for overly long single requests.
How to Confirm Configuration Is Complete
- Call the configured HTTP interface, check if core fields including filing number and number of beds are included in the returned
responseData, to confirm the data filtering rule is active. - Trigger a monthly pull task once, check if the global variable automatically adapts to the pull range for the current month, to confirm the cycle configuration is correct.
- Simulate an authentication failure scenario, verify that the interface returns the corresponding error status code, to confirm the authentication configuration is active.
- Manually trigger 3 failed requests, observe whether automatic retry and successful data pull occur, to confirm the retry mechanism configuration is correct.
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.