What the data for this category looks like
Biologics financial report data primarily comes from domestic and overseas securities exchange disclosure platforms, investor relations sections of listed companies, and public announcements from industry regulators. Update cycles center on quarterly and annual reports, with temporary announcements released alongside pipeline progress updates, clinical trial results, or major financial adjustments. Document structures include segmented revenue breakdowns (e.g., revenue from monoclonal antibody, vaccine, and blood product segments), R&D expense breakdowns, production costs, and cash flow data. Fields include segmented product sales revenue, capitalized R&D expenses, revenue corresponding to batch issuance, and others. Monetary units are primarily Chinese yuan or ten thousand yuan. Production-related metrics mostly use units such as ten thousand doses, milliliters, and similar units.
What constraints do these characteristics impose on HTTP interfaces and external systems
The segmented breakdowns, temporary announcement updates, and special field characteristics of biologics financial reports impose multiple constraints on HTTP interfaces and external systems. Interfaces must support parameters that filter by product category (e.g., monoclonal antibodies, vaccines), otherwise generic financial report data cannot meet segmented analysis needs. Synchronous updates for temporary announcements require interfaces to support incremental pulling or event-triggered synchronization, to avoid resource waste and delays from full data pulls. Special fields such as capitalized R&D expenses and revenue corresponding to batch issuance must have clear field identifiers in interface definitions, to ensure external systems can recognize and correctly map to business logic. Additionally, for financial reports disclosed across multiple markets, support for switching configurations of multiple exchange data sources is required.
How to configure
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Biologics financial reports include segmented product details, R&D attachments, and other content; conventional parsing duration exceeds default thresholds |
RECALL_TOP_K | Top 8–12 entries | Financial report analysis requires coverage of multi-dimensional segmented fields; sufficient retrieved segments ensure analysis completeness |
SIMILARITY_THRESHOLD | 0.75–0.85 | A large number of professional financial report terms are used; this range balances retrieval precision and coverage |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Annual financial reports include detailed batch issuance, pipeline data, and other attachments; single file size is larger than that of general category financial reports |
SYNC_INCREMENTAL_ENABLE | Enabled | Biologics financial reports have real-time update requirements for temporary announcements; incremental synchronization reduces resource consumption |
API_RESPONSE_FIELD_WHITELIST | ["product_revenue", "rd_expense", "batch_issue_revenue"] | Only return core fields unique to biologics financial reports, to avoid redundant data being received by external systems |
This page provides parameter values as common recommendations to serve as a starting point 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
- Scenario: After starting the FastGPT container, the HTTPS interface returns the
SSL_PROTOCOL_ERRORstatus code. Cause: The certificate mount path and environment variable pointing to the certificate file are not correctly configured indocker-compose.yml, causing the service to fail to load the SSL certificate. - Scenario: The
b.mdfile underdir1in the API knowledge base displays an upper-level directory path when returned via the interface. Cause: The directory mapping rules for the knowledge base are not correctly configured, or files are not packaged according to the specified directory hierarchy during upload, leading to abnormal path parsing. - Scenario: Knowledge base content can be retrieved normally in the debug page, but the API call returns
no relevant documents found. Cause: The API call does not carry the correct knowledge base authorization parameters, or the ID of the corresponding knowledge base is not specified, causing the system to fail to associate with the correct knowledge base data source.
How to confirm the configuration is correct
- Upload a biologics financial report document that meets the configuration size limit, check that the parsing task completes within the configured timeout threshold and has no parsing error logs.
- Initiate an API call with the specified recall count configuration value, verify that the number of returned relevant document fragments matches the configured requirement.
- Trigger an incremental synchronization task, check that temporary announcement data is synchronized to the knowledge base within the configured synchronization cycle with no omissions.
- Call the HTTPS interface, verify that the returned message only includes the configured whitelist fields with no redundant data.
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.