What the Data for This Category Looks Like
Financial report data for investment platforms primarily comes from publicly disclosed periodic reports and temporary announcements of listed companies by exchanges, as well as industry research report data aggregated by the platform. Update schedules strictly follow regulatory requirements: quarterly reports are updated within one month after the end of each quarter, annual reports are updated by the end of April of the following year, and temporary announcements are synchronized in real time. Documents include structured financial tables (balance sheet, income statement, etc.) and unstructured analysis text. Fields cover reporting period, attributable net profit, non-recurring net profit, earnings per share, and more. Units are mostly yuan, ten thousand yuan, or hundred million yuan. The data also includes a distinction between consolidated statements and parent company statements.
What Constraints Do These Characteristics Impose on Model Access and Configuration?
The structured nature of financial report data requires configuration of unified field mapping rules to prevent the model from confusing the statistical standards of different companies. Single documents have long length, so context window configuration for long text processing must be adapted. Fixed, batch update schedules require setting scheduled synchronization tasks instead of manual upload. The real-time requirement for temporary announcements requires shortening synchronization intervals. When processing multiple financial reports in batch, limit the number of documents per batch to prevent system resource overload.
How to Set the Configuration
| Configuration Item | Recommended Value | Basis for This Value |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing a complete annual report typically takes 3 to 5 minutes; this avoids interrupting the parsing process due to timeout |
maxContext | 8000–12000 characters | Financial report analysis requires linking multiple periods of financial indicators and management analysis; the context window must cover core analysis dimensions |
RECALL_TOP_N | Top 8 entries | Balances core financial fields and unstructured analysis content, avoiding excessive recalled data that increases inference load |
FIELD_MAPPING_RULE | Calibrated based on actual testing | Different listed companies have varying naming conventions for financial report fields; custom unified mapping rules are required for the target data source |
SYNC_INTERVAL | 1 hour | Adapts to the real-time update requirements of temporary announcements; short-interval synchronization ensures data timeliness while controlling resource usage |
WORKFLOW_BATCH_SIZE | 5 documents/batch | When processing multiple financial reports in batch, 5 documents per batch balances processing efficiency and system resource usage |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After uploading a Word-format financial report document, the model returns empty content in the conversation. Cause: The FastGPT built-in Office document parsing module is not enabled, or the module configuration is not associated with Word file types.
- Phenomenon: A URL address for financial report-related images is configured in the knowledge base, but the model cannot display the image content in the conversation. Cause: The model's image understanding capability is not enabled, or the permission to call the image parsing tool is not configured in the model settings.
- Phenomenon: After configuring the aiproxy channel using FastGPT version 4.9.1, the model call has no response. Cause: The aiproxy interface address and access key are not filled in correctly, or the corresponding supplier option is not enabled in the model channel configuration.
How to Confirm Configuration Is Complete
- Upload a standard financial report document, check if the parsed text content fully covers core financial fields, and verify if the parsing results meet expectations.
- Trigger a scheduled synchronization task, check if the corresponding financial report data has been added to the knowledge base, and if the synchronization status shows success.
- Initiate a financial report analysis conversation, verify that the model can correctly link multiple periods of financial report data and output structured analysis results.
- Check the system logs to confirm that the parameter configuration during model calls matches the preset values, and there are no abnormal error messages.
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.