What This Category's Data Looks Like
Thermal energy financial report data is sourced from public disclosure documents of regional public utility regulatory platforms, and annual and quarterly public financial reports of thermal energy operating entities. The core update cycle is quarterly, with annual reports supplementing complete operational and financial details. Document structure includes three categories: core operational metrics, financial statement line items, and compliance disclosure items. Fields include heat supply, heat sales, operating revenue, operating cost, and pipeline transmission loss-related metrics. Heat supply and heat sales are measured in gigajoules. Operating revenue and operating cost are measured in Chinese yuan. Loss-related metrics are measured in percentage values.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
The quarterly and annual update cadence of thermal energy financial reports requires HTTP interfaces to avoid overly short polling intervals, to prevent invalid requests. Single pulls of financial report data include multiple detailed fields, resulting in relatively large data volume. This creates clear requirements for interface timeout settings and request body size limits. Disclosure field naming varies across regional thermal energy operating entities. Interfaces must support custom field filtering or standardized mapping to adapt to return formats from different data sources. Unit differences require connected external systems to implement unit conversion logic, to ensure data consistency. Fixed compliance disclosure fields require interface return content to strictly match regulatory disclosure specifications. Fields cannot be arbitrarily deleted or renamed.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Thermal energy financial reports include multiple detailed fields, which take longer to fully parse |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Structured or PDF files of annual thermal energy financial reports are usually large in size |
TRAIN_BATCH_SIZE | 50 entries | Each financial report data entry has a large number of fields; excessively large batches may trigger external interface rate limits |
HTTP_REQUEST_TIMEOUT | 300 seconds | Pulling financial report data sources from cross-regional regulatory platforms requires longer request durations |
FIELD_MAPPING_ENABLE | Enabled | Field naming for financial reports varies across thermal energy operating entities, requiring unified mapping to standard fields |
SYNC_INTERVAL | 86400 seconds | Financial reports are updated quarterly, so high-frequency data source synchronization is unnecessary |
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 individual analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Misconfigurations
do_request_failederror returned when calling HTTP interfaces. This occurs when the correct external data source interface address is not configured, or when theHTTP_REQUEST_TIMEOUTparameter is not adjusted to accommodate long-duration cross-regional data source requests.- No corresponding knowledge base index generated after creating a training order. This occurs when the
FIELD_MAPPING_ENABLEconfiguration is not enabled, causing financial report fields to fail correct identification and training tasks to terminate abnormally. - Inconsistent thermal energy data units returned by connected external systems. This occurs when unit conversion logic is not configured, and raw units returned by the interface do not match the internal system's units.
How to Verify Successful Configuration
- Call the test interface to pull a single thermal energy financial report data entry, and verify that the returned fields match the configured mapping rules.
- Submit a test thermal energy financial report file, and check the parsing task logs to confirm no timeout or rate limit errors are triggered.
- Configure a scheduled synchronization task, and verify whether the latest data is automatically pulled after the set synchronization interval.
- Check the thermal energy data received by the external system, and confirm that unit conversion has been completed uniformly.
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.