Dialogue Logs and Auditing for Aquaculture Yield Rates

Data sources for aquaculture yield rates cover the full aquaculture lifecycle, including real-time water quality and feeding volume data from pond

What Data for This Category Looks Like

Data sources for aquaculture yield rates cover the full aquaculture lifecycle, including real-time water quality and feeding volume data from pond smart monitoring devices, feed purchase and seed stocking ledgers from farming operators, and daily quotes from regional aquatic product acquisition markets. Data update frequencies vary by type: feeding and water quality data updates hourly or daily, acquisition quotes update per market trading day, and per-batch yield and cost data updates after the batch is harvested. Structured per-batch aquaculture data documents include the following fields with corresponding units: pond ID, aquaculture species name, total feeding volume (kilogram), feed unit price (yuan per kilogram), seed stocking count (individuals), acquisition guide price (yuan per kilogram), aquaculture area (mu).

Constraints Imposed on Dialogue Logs and Auditing

Because aquaculture data has varying update frequencies, dialogue logs require different archiving rules configured per data type. Real-time monitoring data logs must use a rolling retention mechanism. Per-batch cost and yield data logs must be tied to the corresponding aquaculture batch ID to enable backtracking and auditing across the full aquaculture cycle. The full source identifier must be recorded in logs for multi-source data links, to avoid confusion between different data links from devices, ledgers, and market quotes during audits. The linkage logic between fields must retain all invoked parameters in logs, to ensure the data matching process can be reproduced during audits.

Configuration Settings

Configuration ItemRecommended ValueRationale
LOG_RETENTION_DAYS90–180 daysAquaculture batch cycles typically range from 30 to 180 days, so this range covers audit requirements for at least one full production cycle
UPLOAD_FILE_MAX_SIZE500 MBStructured aquaculture ledgers usually contain data for multiple batches, and individual file sizes rarely exceed 500 MB
PARSE_FILE_TIMEOUT_SECONDS300 secondsLarge aquaculture ledger documents require longer processing time for field parsing, to avoid interrupting the parsing process due to timeout
INCLUDE_CALL_PARAMSenabledFull recording of field matching parameters during invocation is required to reproduce data association logic during audits
BATCH_ID_LOG_TAGtied to pond IDTag logs by aquaculture pond or batch to enable backtracking and auditing by aquaculture unit
LOG_ERROR_DETAILenabledDetailed error information for failed invocations must be retained to troubleshoot abnormal scenarios

Three Common Misconfigurations

  • Symptom: After invoking the aquaculture yield rate application, no corresponding records appear in the dialogue logs, but actual invocation requests are visible in backend interface monitoring. Cause: The INCLUDE_CALL_PARAMS configuration item is not enabled, or LOG_RETENTION_DAYS is set to a short cycle, causing logs to be quickly cleared or not triggered for recording.
  • Symptom: A 503 status code error pops up when uploading an aquaculture ledger document on the dialogue page, and backend upload logs show the file was successfully written to storage. Cause: The PARSE_FILE_TIMEOUT_SECONDS setting is smaller than the actual time required for document parsing, causing a frontend timeout error while the backend storage process is unaffected.
  • Symptom: After configuration variables are used to count classified invocation times, no count statistics fields appear in the logs. Cause: The LOG_RECORD_VARIABLES configuration item is not enabled, or the variable update logic is not tied to the invocation trigger node of the dialogue.

How to Verify Proper Configuration

  • Navigate to the application's log management page, randomly select one invocation record from the past 7 days, and check whether core fields such as pond ID and invocation parameters are included, to confirm the BATCH_ID_LOG_TAG configuration is active.
  • Upload a standard-sized aquaculture ledger document, verify that no frontend errors occur and backend parsing logs are complete, to confirm UPLOAD_FILE_MAX_SIZE and PARSE_FILE_TIMEOUT_SECONDS match the current document scale.
  • Trigger one invocation and view the log details, confirm that error information and invocation parameters are fully recorded, to verify LOG_ERROR_DETAIL and INCLUDE_CALL_PARAMS are enabled.
  • Check the log archiving rules, confirm that the log retention period covers at least one full aquaculture batch cycle, to verify LOG_RETENTION_DAYS meets audit requirements.

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 your own samples before finalizing settings.

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.