What the data for this category looks like
Data sources include domestic steel spot trading platforms, regional steel trader credit ledgers, and commercial bank corporate financing systems. The update schedule is full daily data for the previous day, updated every early morning. The documents are structured single records, containing fields such as transaction date, carbon steel grade, credit subject, daily financing count, single financing amount, annualized financing interest rate, credit expiration date, etc. Financing amount unit is ten thousand yuan, interest rate unit is %/year, and grade is a fixed enumerated category.
Constraints imposed by these characteristics during deployment and upgrade
Many structured fields with clear units require enabling data format validation rules during deployment to prevent dirty data from entering the knowledge base. The daily full update schedule requires configuring timeout thresholds for scheduled synchronization tasks to adapt to the total time required for full data pulling. Carbon steel grade is a fixed enumerated category, requiring synchronous update of the entity extraction rule base during upgrades to ensure new grades can be correctly identified. Data links steel trading subjects and credit information, requiring configuration of cross-data source association query permissions during deployment to ensure data integrity and consistency.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_STRUCTURED_ENABLE | Enabled | Carbon steel financing daily reports are structured data. Enabling this allows direct extraction of specified fields without full-text parsing |
SYNC_CRON_EXPRESSION | 0 1 * * * | Matches the schedule of updating previous day's data every early morning, ensures synchronization tasks execute on time |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single daily report file may contain financing records for all steel grades, adapts to the maximum file size for bulk imports |
DATA_VALIDATION_RULES | Validate amount and interest rate formats per field | Fields have clear numerical ranges and units, validation can filter dirty data |
EMBEDDING_BATCH_SIZE | 200 items per batch | Balances the time cost of batch embedding structured data and server resource usage |
MAX_SYNC_TIMEOUT | 1800 seconds | Adapts to the time required for pulling full category financing data, prevents synchronization tasks from timing out and interrupting mid-execution |
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 local samples before finalizing.
Three common mistakes
- Phenomenon: Timeout failure occurs when executing
docker pullto pull images. Cause: The deployment node has no configured image acceleration source. Most deployments in the carbon steel industry use intranet or restricted network environments, and the default official image pull speed cannot meet requirements. - Phenomenon: The interface displays
internal server errorwhen importing the structured parsing plugin. Cause: The plugin version used does not match FastGPT V4.14.1, and the corresponding version of the plugin configuration file was not obtained. - Phenomenon: When viewing knowledge base disk usage, it is impossible to split the storage proportion of original files, split chunks, and embedded vectors. Cause: FastGPT's storage detail statistics function is not enabled, or storage data is not filtered by data source dimension.
How to verify successful configuration
- Execute the
docker pscommand, check the running status of all FastGPT-related containers, confirm there are no abnormal exits or restart records. - Manually trigger a scheduled synchronization task, check whether there are field verification failures or timeout errors in the synchronization log.
- Enter the knowledge base management interface, check the analysis results of structured data, confirm that all configured fields have been correctly extracted.
- View the storage statistics interface, confirm that storage data of original files, split chunks, and embedded vectors are displayed classified by data source.
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.