What the data for this category looks like
Data comes from publicly disclosed listed company financial reports and official monthly operating briefings. Quarterly reports are released 1 to 2 months after quarter end. Monthly operating data updates alongside current month's performance. Documents are in PDF format, including consolidated income statements, balance sheets, and category revenue notes. Fields include main business revenue, operating costs, sales expenses, R&D expenses, and SKU shipment volume. Units are uniformly Renminbi yuan or ten thousand yuan. Financial report notes separately list kitchen and bathroom appliance related revenue details. Some documents contain cross-page tables and nested structures.
What constraints these characteristics impose on deployment and upgrade
Concentrated disclosure of public financial reports creates batch data processing pressure during deployment. Sufficient concurrent processing resources must be configured. Cross-page tables and nested structures in PDF format require more detailed document segmentation parsing configuration during deployment. High-frequency updates of monthly operating data require retaining adjustable scheduled synchronization task parameters during upgrades. Significant format differences in financial report notes across enterprises require the upgrade process to support hot updates of custom parsing rules. This avoids full redeployment for every adjustment.
Configuration Settings
| Config Item | Recommended Value | Basis for This Value |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Kitchen and bathroom appliance financial report PDFs contain cross-page tables and long paragraphs, requiring extended parsing time limits |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single annual financial report and attached documents typically have large file sizes, requiring relaxed upload limits |
maxContext | 8000–12000 characters | Single parsed segments of financial report notes are lengthy, requiring sufficient context to retain complete business logic |
WORKFLOW_EXEC_TIMEOUT | 1200 seconds | Batch financial report analysis workflows process multiple documents, requiring extended execution timeout periods |
RECALL_TOP_K | Top 8 entries | Financial report data has many fields, requiring sufficient associated fragment recall to support accurate analysis |
SANDBOX_IMAGE | fastgpt-sandbox:v4.8.10 | Adapts to the current version's code running environment, avoiding missing image issues |
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 mistakes
- Phenomenon: AI chat nodes in workflows cannot obtain output from code running nodes, returning empty fields. Cause: The
SANDBOX_IMAGEconfiguration item was not updated synchronously after an upgrade. This causes the code running environment to be incompatible with the current version, and output results cannot be parsed correctly. - Phenomenon: Timeout errors occur during batch financial report uploads, returning status code 504. Cause:
PARSE_FILE_TIMEOUT_SECONDSwas not configured to match the duration required for financial report parsing. Default timeout settings are too short to complete long document parsing. - Phenomenon: For simple queries of a dozen characters, results first return full content in one go before switching to streaming output. Cause: The trigger thresholds for
maxContextand streaming output were not adjusted. The system prioritizes generating content using full context before switching modes, failing to adapt to streaming output requirements for short queries.
How to confirm configurations are correct
- Upload a test kitchen and bathroom appliance financial report PDF. Verify if parsed text retains complete cross-page table content, and check that parsing duration aligns with expected values.
- Execute a test workflow containing code running nodes and AI chat nodes. Confirm that AI chat nodes can properly retrieve output from code running nodes.
- Review logs for scheduled synchronization tasks. Ensure tasks run per the configured cycle, and no image pull failure errors appear.
- Trigger a single query for financial report fields. Check that output uses streaming format, with no full content returned in a single transmission.
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.