What the data for this category looks like
Financial report data related to air governance in financial scenarios mainly comes from environmental notes in listed companies’ annual or quarterly financial reports, regional air monitoring datasets published by ecological environment authorities, and air governance facility operation logs submitted by enterprises themselves. Update frequencies fall into three categories: corporate financial data is updated quarterly and annually, regional monitoring data is updated daily or in real time, and operation logs are updated monthly. Document structures include structured fields and unstructured text. Structured fields include air governance facility investment amount, operation cost, pollutant emission reduction, and pollutant concentration. Unstructured text includes governance plan descriptions and monitoring report summaries. Mixed units exist in some fields.
What constraints these characteristics impose on workflow orchestration
Multiple dispersed data sources require the workflow to support three data source types: public APIs, internal enterprise databases, and uploaded PDF financial reports. Configure multi-source data aggregation nodes. Different update frequencies require the workflow to use three trigger modes: scheduled full pull, incremental synchronization, and manual trigger. This avoids wasted resources from invalid pulls. Inconsistent field units require the workflow to include built-in unit conversion logic. Configure custom field mapping rules to ensure unified calculation and display of data from different sources. A large number of long text paragraphs require appropriate segmentation parameters. These parameters must adapt to large model context limits.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_QUERY_TIMEOUT | 300 seconds | Air governance financial report analysis involves multi-table associated pollutant data queries, which usually take longer than general business queries. 300 seconds covers most scenarios |
text_segment_size | 1000–1500 characters | Financial report sections related to air governance contain technical terms and long data descriptions. Excessively long segments will exceed large model context limits, while excessively short segments will damage semantic integrity |
field_unit_mapping | Calibrated based on actual measurements | Air governance data has mixed units such as ton/kilogram, μg/m³/ppm, so custom mapping rules are required to unify formats |
workflow_trigger_mode | Dual modes: scheduled trigger + manual trigger | Meets the periodic pull requirements for quarterly financial reports and the manual call requirements for temporary emergency queries |
retrieve_top_k | Top 8 entries | Knowledge base entries related to air governance contain professional monitoring indicators. Too many retrievals will introduce redundant information unrelated to the current analysis |
The parameter values given on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to conduct actual tests on your own samples before finalizing.
Three common mistakes
- Workflow runtime returns
SQL syntax errorstatus code. The cause is that the variable of the database query node is not correctly bound to the data source parameter prefix, resulting in a syntax error during SQL statement splicing. - Workflow node cannot pop up the dynamic knowledge base selection pop-up window. The cause is that the dynamic knowledge base configuration switch of the workflow is not enabled, making it impossible to switch the knowledge base during the conversation.
- Tool node returns
connection refusederror. The cause is that the deployed database does not open the corresponding access port, or the database address, account and password configured in the workflow are incorrect.
How to confirm the configuration is complete
- Run a test workflow, input simulated air governance financial report data, check whether the database query node returns correct structured fields and unit-converted results.
- View the scheduled trigger logs of the workflow, confirm that data is automatically pulled according to the set cycle, with no timeout or interruption records.
- Test input data with different units, check whether the field conversion node completes unit mapping and the output results conform to the preset format.
- Trigger manual workflow operation, verify whether downstream nodes can correctly receive and parse the specified format content output by the workflow.
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.