Conversation Logging and Auditing for Water Treatment Yield Rates

Water treatment yield rate and market data comes from three primary sources: industrial water treatment system operation logs, municipal sewage

What the data for this category looks like

Water treatment yield rate and market data comes from three primary sources: industrial water treatment system operation logs, municipal sewage treatment or water supply online monitoring platforms, and third-party environmental compliance data APIs. The system fully updates daily yield rate and market data at midnight each day. It synchronizes real-time operating parameters every 15 minutes. Each data entry includes these fields: unique monitoring point identifier, treatment stage type, total daily water production, total chemical dosing cost, and qualified treatment volume. Units are cubic meters, yuan, and cubic meters respectively. The system groups and archives data by monitoring point and treatment stage. Each data batch covers all full-process calculation parameters for the current day.

Constraints on Conversation Logging and Auditing

Multiple data sources require logs to distinguish between locally generated content and content pulled from external APIs. The auditing process must record each API’s call status and return results. High-frequency real-time data generates large volumes of log entries. Logs must be split and archived using fixed time intervals to prevent single log files from growing too large and slowing query performance. Core fields required for compliance auditing include monitoring point and treatment volume information. The auditing process must validate field completeness and format correctness to ensure data traceability. Water treatment data ties to environmental compliance requirements. Logs must have tamper-proof properties to maintain audit credibility.

How to Set Configurations

Configuration ItemRecommended SettingRationale
AUDIT_LOG_RETENTION_DAYS180 daysMeets standard retention period requirements for environmental compliance audits
external_api_log_enableEnabledRecords call logs for external monitoring platforms and data APIs, matching multi-data source characteristics
log_shard_interval1 hourAdapts to the 15-minute update frequency of real-time data, prevents single log files from becoming too large
audit_field_whitelist["monitor_point_id", "treatment_process", "daily_production_volume", "chemical_dosage_cost", "qualified_treatment_volume"]Only retains core fields required for auditing, filters out redundant information
LOG_ENCRYPT_ENABLEEnabledEnsures logs are tamper-proof and compliant with data privacy regulations
MAX_SESSION_HISTORYLast 20 conversation entriesBalances completeness of conversation context and log storage pressure

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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Symptom: After upgrading to version 4.9.0 or later, refreshing the conversation page shows new conversations, but historical records are visible in backend logs. Cause: The session_log_sync configuration is not enabled, causing frontend session logs to fail to sync to local storage.
  • Symptom: The interface displays "No permission to operate this conversation record". Cause: The monitoring point ID field associated with the current conversation is not configured in audit_field_whitelist, causing the permission check logic to fail.
  • Symptom: The guest conversation window shows no historical records, but corresponding entries exist in backend logs. Cause: The LOG_ENCRYPT_ENABLE configuration is not enabled, causing encrypted logs to fail decryption and loading on the guest frontend.

How to Confirm Configurations Are Set Correctly

  • Access the system backend's log management page, check the current value of AUDIT_LOG_RETENTION_DAYS to confirm it matches preset retention requirements.
  • Initiate a conversation associated with water treatment monitoring data, verify that backend logs fully record the full process of API calls, parameter validation, and result returns.
  • Access the guest conversation interface, query historical conversations, confirm that generated log entries load normally.
  • Attempt to operate a conversation not created by the current user, confirm that the interface displays a permission check prompt.

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.