What This Category of Data Looks Like
Data sources for state-owned large bank financial reports include official investor relations sections and regulatory designated information disclosure platforms. Most documents are in PDF format, containing structured financial statements, discussion and analysis of operating results, important events and other sections. Single annual reports have a large number of pages. Structured fields include total assets, total liabilities, operating revenue, net profit, non-performing loan balance, core tier 1 capital net amount and others. Units are mostly RMB 100 million yuan, with some indicators using yuan as the unit. Data is released on fixed disclosure cycles. Annual reports, semi-annual reports and quarterly reports correspond to different disclosure dates.
Constraints Imposed on Model Access and Configuration
The long document structure and fixed field characteristics of state-owned large bank financial reports create multiple constraints for model access and configuration. Long documents require appropriate context window configuration to avoid truncation of core financial data during parsing. The fixed structured field system requires corresponding field mapping rules to be configured when accessing the model, ensuring extracted indicators align with original fields in financial reports. Fixed disclosure cycle data sources require scheduled synchronization tasks to be configured, ensuring accessed financial report data uses the latest disclosed version. Multi-page structured reports require reasonable chunking and merging logic to be configured in the parsing stage, avoiding indicator calculation deviations caused by cross-page data splitting.
How to Set Configurations
| Config Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 tokens | Adapts to the long text structure of state-owned large bank financial reports, avoiding truncation of core financial indicators |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the full parsing duration of state-owned large bank annual report PDFs, preventing mid-process timeout interruptions |
Recall count | Top 8–12 entries | Covers the number of core financial indicators in financial reports, ensuring the model can obtain sufficient field data |
Similarity threshold | 0.75–0.85 | Accurately matches financial report structured fields, filtering interference from irrelevant annotation content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the common file size of state-owned large bank annual report PDFs, supporting complete uploads |
SYNC_CRON_EXPRESSION | 0 0 2 * * * | Synchronizes the latest disclosed financial report data daily at 2 AM, ensuring the timeliness of accessed data |
The parameter values provided on this page are common starting points for configuration. Actual values vary based on material format, data volume and business rules. Specific scenarios require targeted analysis. Testing on local samples is recommended before finalizing configuration.
Three Common Misconfigurations
- Phenomenon: The total revenue value returned by the model does not match the original financial report data, or an empty field error occurs. Cause: No correct field mapping rules are configured, causing the extracted financial report fields to not match the original document's field names, or cross-page data loss caused by failure to handle long document chunking.
- Phenomenon: A 400 Bad Request error occurs when connecting via OneAPI, and the model cannot be accessed successfully. Cause: The API key and interface address are not configured according to FastGPT's model access format, or the token limit setting is insufficient to support long text requests.
- Phenomenon: The large model has deviations in the total calculation of financial report data, or returns incorrect unit conversion results. Cause: No unified unit verification logic is configured, causing the model to directly add fields with different units, or the structured data field verification link is not enabled.
How to Confirm Proper Configuration
- Upload a publicly available annual report PDF of a state-owned large bank, check that the parsed structured fields are complete, with no obvious truncation or missing content.
- Initiate a financial report data query request, verify that the returned fields match the original financial report document's field names and order.
- Test an indicator calculation task, confirm that the total result returned by the model matches the manually calculated result. Adjust relevant configuration parameters until the expected outcome is achieved.
- Check the scheduled synchronization task logs, confirm that the daily financial report data synchronization tasks execute normally, with no timeout or 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.