What the Data for This Category Looks Like
Power industry research report data comes from public reports of power industry associations and power regulatory agencies. It draws from financial reports of listed power enterprises and research documents from professional consulting institutions.
Update frequency falls into three categories:
- Monthly industry operation reports are updated on a fixed cycle.
- Quarterly and semi-annual financial reports are updated according to enterprise disclosure timelines.
- Major policy releases are updated in real time.
Document structure includes industry supply and demand data, regional installed capacity and power generation data, electricity price fluctuation analysis, policy interpretations, and operating conditions of key enterprises. Most fields use fixed units: installed capacity is measured in ten thousand kilowatts, power generation in hundred million kilowatt-hours, and electricity price in yuan per megawatt-hour. Metadata fields include release date and policy document number.
Constraints on Workflow Orchestration
The structured data of power industry research reports and differences in update frequencies create multiple constraints for workflow orchestration:
- Structured data with fixed units requires adding a field verification step in the workflow to avoid unit conversion or numerical precision errors.
- Differences in update frequencies across multiple data sources require configuring multiple trigger nodes to support scheduled pulling and real-time monitoring scenarios.
- Wide variation in the length of individual research reports requires setting dynamic segmentation parameters to handle chunking for documents of different lengths.
- Cross-regional power data requires associating regional dimension fields to achieve accurate recall and prevent information misalignment.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 800–1200 characters | Power industry research reports contain long policy analysis sections and short structured data. This range balances context window utilization and information integrity |
recall_count | top 8–12 entries | Core information of power industry research reports concentrates at the beginning. Excessive recall introduces irrelevant content, while insufficient recall misses critical data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some power industry research report documents have long lengths. Batch parsing requires sufficient response time |
scheduled_trigger_cycle | 2:00 AM daily | Monthly power industry reports usually release at the start of each month. Scheduled pulling ensures data timeliness |
similarity_threshold | 0.75–0.85 | Semantic similarity for power industry terminology must exceed general thresholds. This range filters irrelevant reports while retaining relevant content |
MCP_log_output_level | DEBUG | Unit conversion errors often occur when parsing structured fields in power industry research reports. DEBUG level captures detailed logs for troubleshooting |
Three Common Configuration Mistakes
- Tool call nodes return the
Invalid JSON: Bad control charactererror. Power industry research reports contain unescaped line breaks and special symbols. Direct concatenation into tool call parameters causes JSON format verification failure. - Tool call nodes in the workflow cannot have connection lines added, and no connection circle controls appear in the interface. This occurs when the node has not completed required parameter configuration, or frontend rendering exceptions prevent the controls from loading.
- Detailed logs of component MCP services cannot be viewed. This happens because
MCP_log_output_levelis not set toDEBUG, or the log panel for the corresponding node is not expanded in the workflow run details page.
How to Confirm Proper Configuration
- A single power industry research report is uploaded to the document node of the workflow. Segmented text fragments are viewed to confirm the segmentation rules match the configured requirements.
- A single workflow run is triggered. The return content of the tool call node is checked to confirm there are no JSON format errors.
- The configuration panel of the corresponding component is entered. The advanced settings area is expanded to confirm the
model_idparameter has been correctly obtained and filled. - The workflow run details page is viewed. The parsing logs of the MCP service are confirmed to have been fully generated and can be viewed.
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 conduct tests on relevant samples before finalizing settings.
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.