What This Category of Data Looks Like
Thermal utility yield and market daily report data for financial scenarios comes from smart meters, thermal station operation systems, and municipal pipe network monitoring platforms, collected and aggregated via those sources. Data is generated on a fixed daily schedule, compiling full data from the previous day. Each daily report includes multi-dimensional operational metrics for a single region or station. Documents use a standardized structured table format. Fields include station unique identifier, affiliated region code, daily heat supply, daily total operating cost, daily total heating revenue, equipment runtime, and more. All fields have defined physical units, with no unstructured free-form text content.
Constraints During Model Integration and Configuration
The fixed structured field characteristics of thermal daily reports for financial scenarios require precise field mapping rules during model integration, to prevent parsing failures caused by field misalignment. The daily update schedule requires that the model call scheduling cycle aligns with the data update time, to avoid incomplete data from early or delayed task triggers. The bulk data characteristic for multiple stations requires configuring reasonable bulk request sharding parameters to balance single-batch processing efficiency and interface call stability. The clear physical unit characteristics require that model prompts explicitly specify calculation logic for numeric fields, to prevent unit conversion errors. Additionally, since the data only includes operational numeric and identifier fields, the model must be adapted for structured data parsing and numeric calculation scenarios.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Scheduled Task Cron Expression | 0 1 0 * * ? | Matches the daily update schedule where thermal daily reports finalize previous day data aggregation at midnight |
Model Channel Connection Address | Fill in self-built proxy service address or compliant third-party channel address | Adapts to security and compliance requirements for thermal scenario data calls, avoiding risks of direct external model calls |
Maximum Bulk Request Count | 40 items | Balances single-batch data processing efficiency and interface call stability, matching the average number of thermal stations per region |
Model Call Timeout | 600 seconds | Allows sufficient time to complete structured parsing of multi-station data and yield-related calculations |
Structured Data Field Mapping | Map original data fields station ID, heat supply, total cost, total revenue to model-recognized specified field names | Aligns with the fixed field order of thermal daily report documents to avoid parsing misalignment |
Prompt Template Configuration | Based on the provided thermal station daily report structured data, output analysis results for per-unit heat supply revenue and revenue-cost ratio for each station | Clarifies the model's analysis objectives, matching business requirements for targeted scenarios |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Observation: When using OneAPI as the model channel, calling the qwq-plus model returns an unsupported error. Cause: The channel was not verified to support the target model, and the configuration was not updated to use the model identifier supported by the channel.
- Observation: The interface returns a 429 status code after the scheduled task triggers. Cause: The bulk request sharding size exceeds the concurrent call limit of the model channel, triggering current limiting rules.
- Observation: The workflow cannot trigger the model to autonomously call tools to generate analysis results. Cause: The prompt template does not explicitly require the model to call structured parsing tools, or the tool binding configuration is not associated with the thermal daily report data parsing logic.
How to Confirm Successful Configuration
- Manually trigger a model call, check if the returned results include analysis content for core fields such as station ID, heat supply, and revenue, and verify consistency between the fields and the original data.
- View the scheduled task execution logs to confirm that the task triggers at the fixed daily time, and that there are no error messages for interface calls.
- Test bulk calls for station data from different regions, confirm that the number of returned results matches the sharding settings, and that there are no obvious current limiting or timeout prompts.
- Adjust the analysis requirements in the prompt template, verify that the model output conforms to the business logic of the targeted scenario, and that there is no irrelevant non-target content.
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.