What Data for This Category Looks Like
Data for this category originates from rent collection ledgers, operation and maintenance cost settlement documents, and revenue reports for public facilities (parking lots, advertising spaces) in property operation management systems. Updates follow a monthly schedule. A single data entry is generated once accounting for the natural month’s operating cycle is complete. The standard structure of a single entry includes fields such as project code, project address, accounting month, leasable building area, total actual rent received, total operation and maintenance costs, public area revenue, and adjustment amount. Building area uses square meters as its unit. All revenue and expense amounts use Chinese Yuan as their unit.
Constraints Imposed by These Characteristics on Conversation Logs and Auditing
The monthly update cadence requires conversation logs to be archived by accounting month. This allows audit trails for operating data to be reviewed by cycle. The multi-field structure with cross-system data sources requires logs to record the data source node for each data call and the source chain of field values. This prevents gaps during data traceability. Independent project-level data requires logs to use project code as a unique identifier. This ensures logs for different property projects do not interfere with one another. Audit scenarios require complete records of field adjustment chains, so logs must record each modification operation for revenue, expenses, and adjustment items, along with operator information.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
logRetentionDays | 365 days | Commercial property operation audits cover full annual cycles, so conversation and data call logs must be retained for at least one year |
logFilterByProject | Enabled | Commercial property operations run multiple projects in parallel. Filtering by project allows rapid location of audit trails for specific properties |
dataSourceTraceLogEnabled | Enabled | Commercial property data comes from multiple systems including rent, operation and maintenance, and public revenue. Full logging of data call chains is required to meet audit traceability requirements |
fieldChangeLogEnabled | Enabled | Commercial property revenue, expenses, and adjustment items require regular adjustments. Logs must record the operator, modification time, and modification content for each field change |
maxLogQueryTimeRange | 365 days | Commercial property audits support cross-year log queries, so the maximum query time range must be extended to a full year |
mongodbLogCollectionPrefix | commercial_property_audit_log_ | Differentiate log collections for different categories to avoid confusion with log data from other business scenarios |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test with your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: MongoDB conversation log collections are mixed with other business data, making it impossible to separately filter logs related to commercial properties. Cause: The
mongodbLogCollectionPrefixconfiguration is not set to a dedicated prefix, so logs are written to the default general collection. - Issue: The conversation details page only displays interaction text between users and assistants, and does not show the complete internal data call chain. Cause: The
dataSourceTraceLogEnabledconfiguration is not enabled, so data source chain log collection is not activated. - Issue: Conversation logs older than the set number of days cannot be retrieved, resulting in missing historical records during audits. Cause: The
logRetentionDaysconfiguration value is lower than the required audit cycle, so logs are automatically cleaned up.
How to Verify Successful Configuration
- Run a conversation that includes a data call, and check whether corresponding log entries are generated in the collection specified by
mongodbLogCollectionPrefix. - Enter the conversation details page, and confirm that internal operation information such as data source call chains and field modification records is displayed.
- Adjust the log query time range, and confirm that historical logs covering the full annual cycle can be retrieved.
- Select a specific property project, and use the project filter function to confirm that only conversation logs for that project are displayed.
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.