What this type of data looks like
Data for state-owned large bank yield and market daily reports comes from official websites of state-owned large banks and official financial data platforms disclosed by the central bank. It is released at fixed daily times, containing complete data for the previous working day. Common document formats include official web pages with embedded structured tables, PDF reports, or Excel attachments. Core fields include product category, yield value, minimum investment threshold, product term, and others, with units as percentage. Field names and formatting vary slightly across different state-owned large banks, but the overall structure remains consistent.
What constraints do these characteristics impose on deployment and upgrade
Structured data format requires enabling a dedicated structured document parsing module during deployment to ensure field extraction accuracy. Fixed daily update requirements demand deploying scheduled fetch tasks, with scheduling parameters configured to match the data release rhythm. Compliance requirements for state-owned large bank data limit access only to official domains. Configure domain whitelists during deployment. Minor differences in data fields require verifying compatibility of field extraction rules during upgrades, to prevent parsing failures from version updates. Timeliness requirements for daily reports require ensuring the knowledge base synchronization link is not blocked after upgrade. Otherwise, subsequent broadcast accuracy will be affected.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_STRUCTURED_ENABLE | true | State-owned large bank yield data uses structured table format; enabling this parameter improves field extraction accuracy |
FETCH_DOMAIN_WHITELIST | ["icbc.com.cn", "abc.com.cn", "boc.cn", "ccb.com.cn", "bankcomm.com", "psbc.com"] | Restrict access only to official state-owned large bank domains to comply with data regulations and avoid scraping data from unauthorized sources |
SCHEDULER_CRON_EXPR | 0 8 * * * | Matches the rhythm where state-owned large banks release previous working day data before 8 a.m. daily, ensuring timely daily fetching of the latest data |
PARSE_FIELD_MAPPING | product name: product_name, annualized yield: yield_rate, minimum investment amount: min_invest | Adapt to common field naming conventions in state-owned large bank documents, reducing manual adjustment work for subsequent field mapping |
FETCH_TIMEOUT_SECONDS | 600 seconds | State-owned large bank official web pages may have compliance check delays; setting a longer timeout prevents fetch task failures |
UPLOAD_FILE_MAX_SIZE | 20 MB | Daily report attachments released by state-owned large banks are mostly small structured documents; this value covers typical attachment sizes and avoids resource waste |
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, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- A startup failure error occurs when deploying the structured parsing plugin using
docker run --gpus all -itd -p 7231:7231. The cause is that the GPU driver matching the image version is not configured on the deployment host, or the container is not properly granted access to GPU devices. - After upgrading to version 4.9.0, when creating a knowledge base using an official state-owned large bank domain, the backend log prompts
cannot fetch internal url. The cause is that the new domain whitelist verification mechanism does not have the corresponding official domain configured, resulting in legitimate fetch requests being blocked. - The file processing plugin cannot be found after upgrading FastGPT. The cause is that the plugin market has not completed synchronization updates, or the plugin auto-update switch was not enabled during deployment, resulting in the structured parsing plugin not loading properly.
How to confirm the configuration is complete
- Manually trigger a data fetch task, and check whether core fields such as product name and yield are correctly extracted in the parsing results.
- Check the scheduled task log to confirm whether fetch requests are successfully initiated at the specified daily time without timeout or interception errors.
- Access the configured whitelist domains to verify whether the plugin can normally crawl page content and complete structured parsing.
- View the plugin management interface to confirm that the structured parsing plugin is enabled and running normally.
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.