What the data for this category looks like
Water utility financial report data primarily comes from annual reports, quarterly announcements, and monthly operational briefings of publicly listed water utilities. Updates follow a quarterly baseline frequency, with annual reports released after audit. Document structures include standard financial statement modules, plus water utility-specific operational data sections. Fields cover water supply volume, wastewater treatment volume, total pipeline length, and more. Units are mostly ten thousand cubic meters, kilometers, and ten thousand yuan RMB. Some operational indicators include daily average data for the reporting period.
Constraints imposed by these characteristics on HTTP interfaces and external systems
The multi-module structure and specialized operational fields of water utility financial reports require HTTP interfaces to pull data across multiple data sources, while supporting both standard financial fields and specialized metrics like water supply volume and pipeline length. The differentiated update cadence of quarterly and monthly reports means interface configurations must allow adjusting pull cycles to adapt to data sources with different reporting frequencies. Variations in report length require interfaces to support pagination parameters, preventing single responses from exceeding transmission thresholds. Additionally, audit traceability requirements mean interface responses must include unique identifier fields for announcement sources, to ensure data verifiability.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
api_request_timeout | 300 seconds | Water utility financial report documents typically include lengthy operational explanations. This duration covers data pulling and initial parsing processes, avoiding timeout interruptions |
rag_chunk_size | 800–1200 characters | Operational data text in water utility financial reports is relatively long. This range ensures complete semantic integrity for individual text chunks while avoiding information fragmentation between chunks |
external_data_source_type | structured + unstructured | Water utility financial reports include both structured financial tables and unstructured operational descriptions, requiring support for parsing both data formats |
field_mapping_rules | Map by financial report module | Water utility financial reports are divided into two main modules: financial statements and operational data. Grouped mapping prevents field confusion and improves retrieval accuracy |
api_pagination_enable | true | Annual water utility financial report documents have significant length variations. Paged pulling reduces per-request interface load and improves data synchronization efficiency |
data_update_cron | Configured per data source reporting cycle | Water utility financial reports are updated quarterly and monthly. This configuration adapts to synchronization requirements for multi-frequency data sources |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Calling an external water utility financial report data source interface returns a "Insufficient Permissions" error with a 403 status code. Cause: API key authorization for the third-party data source was not configured. Only built-in platform credits were used to call the interface, and access permissions for the corresponding data source were not bound.
- Symptom: Water utility financial report data retrieved by the knowledge base has missing fields, such as the "Total Pipeline Length" metric. Cause: Mapping relationships for specialized operational fields were not configured in the field mapping rules, and only standard financial fields were synchronized.
- Symptom: Interface data pulling times out, returning a 504 status code. Cause: The interface timeout setting was not adjusted. The default timeout duration is insufficient to cover the pulling and parsing process for long documents.
How to Verify Proper Configuration
- Initiate a test interface call, check that the returned data includes both water utility-specific operational fields and standard financial fields, and verify that field units match the category's characteristics.
- Review interface logs to confirm that the pull cycle matches the configured
data_update_cron, with no abnormal timeouts or repeated pull records. - Test the pagination pull function, confirm that returned data can be split according to configured pagination parameters, with no instances of excessively large single responses.
- Verify data source permission configurations, initiate cross-account call tests, and confirm that access permissions for the third-party data source have been properly bound.
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.