What the data for this category looks like
Dairy enterprise financial report data mainly comes from public periodic reports disclosed by domestic and overseas stock exchanges, and official announcements published on corporate investor relations sections. Update timing follows regulatory requirements: quarterly reports are released within 1 to 2 months after the end of each quarter, and annual reports are released within 4 months after the end of the year. Most documents are in PDF format, containing structured tables and embedded charts. The structure is divided into modules such as revenue and sales breakdown, raw material procurement and costs, channel layout, cash flow and R&D investment. Core fields include revenue amount by product category, raw milk purchase volume, number of distributors, shipment volume per product box, with units of RMB, kilograms, units, and boxes respectively.
What constraints do these characteristics impose on model access and configuration
The multi-nested table structure of dairy financial reports requires enabling multi-table recognition and structured output mode during document parsing to avoid field extraction misalignment. Specialized fields for segmented product categories require binding corresponding category tags when configuring field mapping rules to prevent confusion of revenue data across different categories. Documents with mixed embedded charts and unstructured paragraphs require configuring chart data extraction trigger conditions to ensure complete extraction of sales trend data. Fixed-cycle batch financial report processing requirements require configuring concurrency limits and timeout thresholds for batch tasks to avoid single-file parsing timeouts affecting the overall workflow.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_MAX_TABLE_DEPTH | 3–5 layers | Adapts to the multi-level nested table structure of revenue and cost sections in dairy financial reports |
UPLOAD_FILE_MAX_SIZE | 200 MB | Covers the file size of most annual and semi-annual financial report PDFs that include multiple pages of notes and charts |
PARSE_CHUNK_SIZE | 1200–1500 characters | Balances the field density of financial reports and the integrity of segment logic, avoiding damage to table associations during splitting |
RECALL_TOP_K | Top 8–10 results | Meets the recall requirements for associated analysis of multi-segment financial report data, avoiding omission of key fields |
MODEL_API_TIMEOUT | 600 seconds | Reserves sufficient processing time for structured parsing and field extraction of large financial reports |
DEFAULT_MODEL | GPT-4 series models | Adapts to the complex semantic understanding and structured extraction capabilities required for financial report analysis |
The parameter values provided on this page are common 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 test on your own samples before finalizing.
Three Common Configuration Mistakes
- Phenomenon: The interface prompts "No available channels", and the OneAPI test interface works normally, with the configured model name exactly matching the one in OneAPI. Cause: The currently used API key group has not been added in FastGPT's channel group configuration, or the group has not been checked to allow use by the current application.
- Phenomenon: After uploading some dairy financial report PDFs, the parsing result shows empty content, while some PDFs of the same format can be parsed normally. Cause: The target PDF contains hidden layers or encrypted embedded tables, and the default parsing mode cannot recognize non-standard document structures.
- Phenomenon: After initiating a financial report analysis request, the model does not automatically call the associated financial report knowledge base, and directly generates a general answer. Cause: The "Auto-call knowledge base" switch has not been enabled, or the trigger rule that binds the knowledge base to the current application has not been configured as the default trigger.
How to confirm the configuration is complete
- Upload a standard dairy quarterly financial report PDF, check whether the structured tables in the parsing result have completely extracted core fields such as revenue by product category and raw material purchase volume, and verify that the number of fields matches the tables in the document.
- Go to the channel management page, test the connected model interface, confirm that the test result has no errors, and the model name exactly matches the configured value.
- After enabling the auto-call knowledge base switch, initiate a request containing specific financial report data queries, confirm that the model's returned content references financial report data from the knowledge base.
- Check the batch task log, confirm that the parsing time of a single financial report does not exceed the configured timeout threshold, and there are no timeout failure records.
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.