What the data for this category looks like
Water utility yield rate-related data comes from two main sources: public utility monitoring platforms of local housing and urban-rural development departments, and public operation ledgers of water utility operation enterprises. Summary and release of the previous day’s data is completed by 18:00 each calendar day. Each data record includes five fields: project code, affiliated administrative district, water supply/sewage treatment volume, direct operation cost, and total revenue. Units for these fields are as follows: none (code), square kilometers (administrative district), cubic meters (volume), yuan (direct operation cost), yuan (total revenue). No percentage-based statistical indicators are included. The data structure is fixed, with no dynamic fields added. Each record has a stable total of under 5 fields.
Constraints on HTTP Interfaces and External Systems
The fixed update time of water utility data requires pull timing to be set after 18:00 daily. This avoids pulling incomplete temporary data. The fixed, unchanging field structure requires interface requests to use a fixed parameter format. No dynamic field adaptation is needed. Transmission of large numeric fields requires the interface to support large integer type parsing. This prevents numeric precision loss. Data sources are official or enterprise public ledgers. The interface must be configured with whitelist verification to ensure calling subjects meet compliance requirements. The daily update frequency means high-frequency interface calls are unnecessary. This reduces calling costs and pressure on external systems.
How to Configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
request_timeout | 30 seconds | Water utility data interface return packets are moderate in size; 30 seconds is sufficient for data pulling and parsing, to avoid timeout interruptions |
polling_interval | 86400 seconds | Water utility yield rate data updates once daily; this interval matches the update cadence and reduces interface calling pressure |
response_parse_mode | json_schema | The field structure of water utility data interface responses is fixed; using json_schema allows precise extraction of target fields and reduces parsing errors |
max_concurrent_requests | 50–100 | The concurrent carrying capacity of water utility data source interfaces is medium-scale; this range avoids triggering rate limiting rules |
field_mapping | Calibrate based on actual testing | Different water utility data sources have varying field naming conventions; adjust the correspondence between original interface return fields and internal system fields based on actual interface responses |
error_retry_threshold | 3 times | Network fluctuations or temporary interface failures are common; 3 retries covers most temporary exceptions and reduces manual intervention |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Interface returns status code 429, request is rate limited. Cause: No reasonable concurrent request count set, calling frequency exceeds the carrying limit of the water utility data source interface.
- Symptom: Pulled water utility data fields are empty. Cause:
field_mappingparameter not configured correctly, no correspondence established between original interface return fields and internal system fields. - Symptom: Scheduled pull task triggers at 17:00 daily, cannot obtain the latest data. Cause: Pull timing not adjusted based on water utility data update time, early triggering results in unupdated data.
How to Confirm Successful Configuration
- Call the configured interface, view the returned original data packet, confirm that all configured fields can be extracted normally.
- Wait for one full update cycle, check if the pulled data is the previous day’s operation data, confirm that the update timing meets expectations.
- Simulate multiple consecutive calls, observe if the system triggers the retry mechanism, confirm that the exception handling logic is active.
- Compare manually exported water utility operation data with content pulled via the interface, confirm that field values match accurately.
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.