Deployment and Upgrade for Automated Equipment Yield and Market Daily Reporting

Data sources for automated equipment yield and market daily reports include local device operation logs, connected third-party market data source

What the data for this category looks like

Data sources for automated equipment yield and market daily reports include local device operation logs, connected third-party market data source APIs, and transaction system trade details. The update rhythm is to generate a full daily report for the current trading day after the market closes, and real-time market snapshots are updated every 10 minutes. The daily reports use structured JSON format, which includes device unique identifier, report generation time, daily return change value, benchmark market value, and device operation exception flag. The fields include device_sn (string type), report_datetime (ISO 8601 date format), daily_return (floating-point numeric value), benchmark_price (floating-point numeric value), abnormal_status (boolean type), with no additional custom units.

What constraints do these characteristics impose during deployment and upgrade

The structured data format requires that a matching parsing template be configured in advance during the deployment phase to avoid field parsing failures. The need to connect multiple data sources means that connection parameters for both device log APIs and market data sources must be configured during deployment, and the authentication and timeout logic for the two types of APIs must be handled separately. The update rhythm of batch generation per trading day plus real-time snapshots requires that corresponding scheduled tasks and real-time pull ports be configured during deployment, while reserving sufficient storage capacity for accumulating historical daily report data. When upgrading versions, if changes to the data parsing logic are involved, compatibility testing must be performed for the preset PARSE_DATA_SCHEMA to avoid the new version being unable to correctly parse daily report data in historical formats. Compliance requirements for financial scenarios require that data storage encryption rules and audit log retention periods be configured during deployment.

How to set configurations

Configuration ItemRecommended ValueRationale
PARSE_DATA_SCHEMA{"device_sn":"string","report_datetime":"datetime","daily_return":"float","benchmark_price":"float","abnormal_status":"bool"}Matches the structured field definitions of the automated equipment yield daily report to ensure no format errors during parsing
CRON_JOB_SCHEDULE0 18 * * 1-5Matches the time node for generating daily reports after market close, runs full tasks on each weekday
DATA_SOURCE_TIMEOUT30 secondsAdapts to the typical response delay of market APIs and device log APIs, avoids task interruption due to pull timeout
PLUGIN_API_WHITELIST["https://market-api.example.com","http://device-log.example.com"]Allows domain names for connecting device logs and market data sources, restricts unauthorized API calls
PARSE_FILE_TIMEOUT_SECONDS600 secondsTime threshold for processing full daily device report data for a single day, avoids timeout during parsing of large-volume logs
LOG_RETENTION_DAYS180Meets audit log retention requirements for financial scenarios, retains a sufficient period of operation logs for troubleshooting

The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. Actual testing on dedicated samples is recommended before finalizing settings.

Three common configuration mistakes

  • Phenomenon: After upgrading to version 4.9.13, a [RULE_TRACE] formatted trace marker appears at the end of model conversation response results. Cause: This version enables rule execution trace display configuration by default, and the corresponding switch is not turned off in system settings.
  • Phenomenon: After deploying version 4.10.0, the minio storage bucket connection fails, with a prompt that public network resources cannot be accessed. Cause: After updating the plugin system in this version, storage buckets are forcibly required to be publicly accessible to synchronize plugin dependency resources. The internal network environment without port mapping or reverse proxy configuration prevents resource synchronization from being completed.
  • Phenomenon: The daily_return field is empty after daily reports are generated for bulk devices. Cause: The authentication parameters for the device log API are not correctly configured, so trade detail data from the device cannot be pulled, resulting in the inability to extract the corresponding field during parsing.

How to confirm correct configuration

  • Manually trigger a scheduled task, then check whether the generated daily report file includes all preset fields, and that the field formats match the definitions in PARSE_DATA_SCHEMA.
  • Check the system operation logs to confirm that there are no timeout or permission error records in the data source pull phase.
  • Enter the system settings page, confirm that the domain names of the device log and market data sources are included in PLUGIN_API_WHITELIST.
  • Initiate a model conversation that includes a yield query, verify that no additional trace markers appear in the response results, and the revenue data is displayed 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.