What this category of data looks like
Daily yield and market trend data for the publishing industry is sourced from compliant public financial market APIs and exchange disclosure documents. Updates follow a fixed schedule after market close on each trading day. No updates are released on non-trading days. Document structures are mostly structured tables or standardized JSON formats. They include fields such as product code, product name, unit net value, cumulative net value, daily yield, 7-day annualized yield, and more. Units include yuan for net value data, percentage for yield data, and standard date format for update timestamps. Each document typically covers daily data for dozens to hundreds of financial products.
What constraints these characteristics impose on deployment and upgrade
The fixed trading-day update schedule for publishing industry yield daily reports requires configuring scheduled tasks that trigger only on trading days during deployment. This avoids invalid sync operations on non-trading days. Automatic task skip logic must also be configured to handle holidays and temporary market closures. The structured, fixed-field format requires precise field mapping rules during deployment to prevent field misalignment or missing data during parsing. During upgrades, compatibility with legacy field naming rules must be maintained to avoid data parsing errors after the upgrade. The scale of batch-generated daily report documents requires adjusting upload concurrency thresholds and interface call limits to avoid triggering rate limits from data sources. The timeliness requirement for data updates requires retaining the original scheduled task scheduling configuration during upgrades, while optimizing the execution efficiency of parsing logic. This ensures that the upgrade does not disrupt daily data sync progress.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Publishing industry daily reports use structured formats, with parsing time typically under 200 seconds. 300 seconds covers abnormal delay scenarios |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single integrated daily report documents typically do not exceed 200 MB. This value reserves sufficient space for temporary bulk upload requirements |
CRON_EXPRESSION | 0 0 17 * * 1-5 | Domestic trading days typically run from Monday to Friday, with market closing around 17:00. This expression triggers data sync tasks after each trading day's close |
MAX_RETRIES | 3 retries | Data source interfaces may experience temporary fluctuations. 3 retries can restore data acquisition without impacting overall progress |
CONTEXT_WINDOW_SIZE | 8000 characters | Post-parsing text length of single daily report documents typically does not exceed 6000 characters. This reserves sufficient context space for subsequent broadcast content generation |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific scenarios require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The symptom is that after calling the API to upload daily report documents, the agent backend process becomes unresponsive and remains stuck. The cause is that in version 4.9.7, the concurrency limit of the file upload interface was not properly validated. Bulk uploading documents exceeding the threshold will trigger system resource exhaustion.
- The symptom is that after deploying via docker-compose, the workflow list and knowledge base list in the system interface appear blank, but the backend interface can normally return data. The cause is that persistent storage volumes were not mounted during deployment. Local cached configuration and metadata will be lost after container restart or service restart.
- The symptom is that custom plugins calling yield data sources return empty results. The cause is that the request timeout parameter for the plugin was not configured. The delay of the data source interface exceeds the default threshold, causing the request to be automatically terminated.
How to confirm proper configuration
- Manually trigger a scheduled sync task, check the parsing logs for prompts indicating successful field matching, to confirm that the configured field mapping rules are active.
- Upload a test publishing industry yield daily report document, verify that the parsed text contains all preset fields, to confirm that file upload and parsing configurations are working correctly.
- View the docker container runtime logs, confirm that the scheduled task scheduling expression has no syntax errors, and that the container process has no abnormal exits.
- Call the backend interface to query synced yield data, confirm that the returned results match the fields in the uploaded document, to confirm that the data sync link is working properly.
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.