Deployment and Upgrade for Yield and Market Trend Daily

What the Data for This Use Case Looks Like

Data originates from internal business ledgers generated daily by core business systems, and publicly disclosed peer yield rate information. Full data integration is completed the morning after each trading day. Data is provided as structured tables, categorized by business line and statistical cycle. Core fields include statistical date, business line, average yield rate basis points, scale proportion, and month-on-month change basis points. Yield-related fields use basis points as the unit. Non-standard customer-customized data fields are not included. Total data volume fluctuates based on the number of branch locations and the variety of business lines.

Constraints Imposed by These Characteristics During Deployment and Upgrade

The fixed daily update schedule requires precise scheduled sync task configuration during deployment, to avoid conflicts with core system daytime business windows. The need to integrate multiple data sources (internal business ledgers and public market data) requires completing permission configuration and interface compatibility verification for both sources during deployment. During upgrades, verify that the call logic for both sources is compatible with the new framework. Fixed structured field formats require the knowledge base parsing process to match preset fields. After upgrades, verify that parsing plugins retain original field mapping rules, to prevent data field misalignment. Fluctuating data volume based on branch count requires reserving scalable vector storage configuration during deployment. During upgrades, verify that storage capacity and concurrent processing capabilities match business growth.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`SYNC_DATA_CRON`	`0 8 * * *`	Aligns with daily T+1 morning generation time of daily report data, avoids conflicts with daytime core business windows
`MINIO_STORAGE_SIZE`	`500 GB – 2000 GB`	Adapts to daily new daily report data and knowledge base vector storage needs, adjustable based on branch count
`PARSE_FIELD_MAPPING`	Use preset field mapping	Matches the fixed structured field format of daily reports, prevents post-parsing field misalignment
`UPGRADE_BACKUP_PATH`	`/data/fastgpt/backup/$(date +%Y%m%d)`	Creates a separate directory daily based on backup time, enables quick location of historical versions during upgrade rollback
`MAX_SYNC_RETRY_TIMES`	`3`	Addresses temporary interface fluctuations from public data sources, prevents daily report broadcast delays caused by a single sync failure
`FILE_PARSE_TIMEOUT_SECONDS`	`600 seconds`	Adapts to parsing time for multi-branch summary tables in daily reports, prevents sync process interruption from timeout

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 Misconfigurations

The fastgpt-minio image pull times out, returning the 408 Request Timeout error code. This occurs because a domestic mirror source for accelerated pulls is not configured, and pull speeds from overseas official image repositories are insufficient.
After upgrading from v4.9.11 to v4.10, scheduled sync tasks do not run as planned. This occurs because the upgrade script did not migrate the legacy SYNC_DATA_CRON configuration, and the new framework has stricter format validation rules for scheduled tasks.
Yield rate data retrieved from the knowledge base has empty fields. This occurs because PARSE_FIELD_MAPPING is not configured correctly, and fields from internal business ledgers are not matched to FastGPT retrieval fields, resulting in no valid data being indexed in the vector database.

How to Verify Successful Configuration

Run the crontab -l command, check if a scheduled task matching the SYNC_DATA_CRON configuration exists, and confirm the task execution time meets business requirements.
Log in to the MinIO console, check storage capacity usage, confirm the current quota covers expected new data needs, and adjust the quota based on branch count.
Manually trigger a data sync task, check the FastGPT knowledge base parsing logs, confirm all preset fields are correctly mapped, with no missing field errors.
Run the upgrade rollback test script, verify that the backup directory contains complete historical version files, and confirm the rollback process works correctly.

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.