What this category of data looks like
Data sources for power industry financial report data include public annual and quarterly reports of listed power enterprises, as well as operational data released by industry regulatory authorities. Update cadences cover annual, quarterly, and monthly dimensions. Annual reports are released after the end of each calendar year, quarterly reports are released after the end of each quarter, and monthly operational data is released in the first ten days of the following month. The document structure centers on structured tables, including items such as power generation, installed capacity, revenue and costs, and grid electricity price, paired with unstructured text descriptions. Field units are mostly ten thousand kilowatt-hours, yuan/megawatt-hour, and grams standard coal per kilowatt-hour.
What constraints do these characteristics impose on workflow orchestration
The multi-cycle update feature of power industry financial reports requires workflows to be configured with differentiated trigger rules to match the update cadences of different data sources. Data from multiple sources requires workflows to set up multi-branch pull nodes to connect public databases and internal enterprise report interfaces respectively. The mixed structured and unstructured document structure requires workflows to first connect format verification nodes to filter invalid unstructured text, then perform field extraction. The presence of specialized fields and special units requires workflows to be configured with custom field mapping rules to unify units and calibers across different data sources, preventing deviations in analysis results.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Power industry financial reports often contain multi-page structured tables and long text descriptions, leading to long parsing times |
maxExtractFields | Top 20 | Core fields of power industry financial reports do not exceed 20, to avoid extracting redundant data |
triggerSchedule | Custom daily/weekly/monthly | Financial report data update cycles include monthly, quarterly, and annual, requiring matching trigger frequencies |
parallelBranchMaxCount | 4 | Power industry financial report analysis often requires parallel pulling of four types of data: revenue, energy consumption, installed capacity, and electricity price. Limiting the number avoids excessive resource usage from too many branches |
similarityThreshold | 0.75 | Financial report text similarity matching requires balancing accuracy and recall. This threshold is suitable for specialized terminology matching |
recallTopK | Top 3 | Power industry financial report knowledge bases have high professional content, and a small number of highly relevant entries can meet analysis needs |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Text classification extraction nodes return null values, with logs showing field matching failures. No specialized terminology dictionary for the power industry is configured, causing professional fields such as "coal consumption rate" and "installed capacity utilization hours" to fail to be correctly identified.
- Overall execution time after parallel branch workflow runs does not decrease as expected, and may even time out. The
parallelBranchMaxCountparameter is not restricted, and too many parallel branches exhaust system resources, slowing overall execution instead. - Importing old workflows after upgrading the version results in lost node configurations. Compatibility of node parameters between old and new versions is not checked, and some legacy exclusive configuration items have been adjusted or removed in the new version.
How to confirm proper configuration
- Manually upload a sample power industry financial report, check if the fields returned by the text extraction node include preset core fields for the power industry.
- Trigger the workflow once, check the execution status of parallel branches, confirm that the number of branches does not exceed the configured
parallelBranchMaxCountthreshold. - Check the scheduled trigger configuration, confirm that the trigger frequency matches the update cadence of the corresponding financial report data.
- After running the workflow, check system logs, confirm that the output results of the classification node do not have null values or abnormal fields.
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.