What the Data for This Category Looks Like
Public financial report data for large state-owned banks mainly comes from official annual reports, semi-annual reports, and regular disclosure documents required by regulatory authorities. The disclosure schedule follows: annual reports must be disclosed within 4 months after the end of the fiscal year, semi-annual reports within 2 months after the end of the interim period, and quarterly reports within 1 month after the end of the quarter. Most documents are hundreds of pages in PDF format, containing sections such as consolidated financial statements, business operation details, and regulatory compliance indicator explanations. Fields cover asset scale, revenue composition, risk control indicators, and more, with units mostly in hundreds of millions of yuan; some special indicators use fixed measurement standards.
Constraints Imposed on Workflow Orchestration by These Characteristics
The multi-source and multi-cycle nature of financial report data requires workflows to support automatic task triggering based on disclosure cycles, while accommodating format differences between annual, semi-annual, and quarterly reports. The long length of individual documents requires workflow configurations to include nodes for block-by-block parsing and long-text segment processing, to avoid context overflow. The coverage of indicators required by regulatory standards requires workflows to have built-in standardized field mapping rules to reduce manual verification costs. Differences in file formats across sources require workflows to support automatic classification and routing of batch files, to assign different report types to corresponding processing branches.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing a single large state-owned bank annual report takes a long time; sufficient timeout is reserved to avoid mid-run interruptions |
chunk_size | 1200–1500 characters | Adapts to the long-text structure of annual reports, balancing context coherence and parsing efficiency |
workflow_trigger_cron | 0 0 2 1-30 1,7 * | Matches the disclosure cycles of annual and semi-annual reports to automatically trigger tasks |
field_extract_threshold | 0.85 | Sets a relatively high matching threshold for standardized regulatory fields to avoid accidental extraction of non-target fields |
batch_file_count | Calibrated based on actual testing | Controls the number of files parsed per batch to avoid overloading system resources |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: An error pop-up appears when entering the editing interface after creating a workflow template, prompting that node configuration cannot be loaded. Cause: Permission configuration for the financial report data source is not correctly associated, causing the system to fail to read the preset file path.
- Phenomenon: After referencing a custom financial report parsing plugin, an error is triggered when adding a code running node and clicking the input box. Cause: The field format returned by the plugin does not match the input verification rules of the code node, and no format conversion processing is performed.
- Phenomenon: After deploying via Docker and accessing the workflow module, the console throws a Cannot read properties of undefined (reading 'incl') error. Cause: The configuration file required for financial report parsing dependencies is not correctly mounted during local deployment, causing partial field mapping modules to fail to load.
How to Confirm Successful Configuration
- Upload a single large state-owned bank annual report PDF, trigger workflow execution, and verify that the parsed block text covers the core sections of the report.
- View the scheduled trigger logs of the workflow, confirm that tasks are automatically started at the preset disclosure cycle nodes.
- Extract preset regulatory indicator fields, verify that the extraction results match the numerical units in the official disclosure documents.
- Batch upload multiple financial report files of different cycles, verify that system resource usage is within a reasonable range, with thresholds calibrated based on actual deployed hardware configurations.
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.