What the data for this category looks like
Business data for brand agency operations primarily comes from brand e-commerce store backends, advertising management systems, and third-party market data aggregation APIs. Data updates follow two schedules: full previous-day business data is updated on a scheduled basis each early morning. Real-time market data is synchronized once per hour. Each individual business data entry includes fields such as brand entity, operating channel, product identifier, advertising investment amount, impression count, click count, conversion count, revenue per customer, and overall revenue-related values. Monetary units are yuan. Count units are times. Revenue-related values are retained to two decimal places.
Constraints imposed on conversation logs and auditing
Multi-source data requires logs to include data channel identifiers, to ensure traceability of data authenticity during audits. Mixed scheduled and real-time update schedules require logs to distinguish timestamps for historical bulk daily report data and real-time incremental market data, to avoid mixing business data from different cycles. Full business field collection requirements mean logs must not omit any business fields, otherwise complete compliance audits cannot be completed. Multi-brand concurrent operation scenarios require conversation logs to implement access isolation by brand dimension, to prevent leakage of business data from different brands. Additionally, audit scenarios require recording API response status and latency for data pulls, to troubleshoot data anomalies.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
log_full_business_fields | Enabled | This category has a large number of business fields, full collection is required to meet audit requirements |
conversation_data_isolation | Isolate by brand dimension | Brand agency services serve multiple brands, isolation of each brand's conversation logs and data is required |
log_data_retention_days | 90 days | Meets audit compliance retention period requirements for financial and wealth management scenarios |
api_sse_timeout | 300 seconds | Daily report data requires aggregation of multi-channel APIs, avoiding timeout that would interrupt log writing |
log_source_tag_enable | Enabled | Data source channels must be recorded to support business data traceability audits |
query_batch_size | First 1000 entries | Total multi-brand data volume is large, pagination pulling is required to ensure API performance |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Scenario: After the client closes the SSE connection directly, conversation logs are not fully written to the database, and some business fields are empty. Cause: The
api_sse_ack_enableparameter is not enabled, and the connection is disconnected without waiting for the server to confirm log writing completion. - Scenario: Conversation logs for different brands of agency operations are visible to each other, making it impossible to quickly filter audit data by brand. Cause: The
conversation_data_isolationparameter is not configured, or the isolation policy is not set by brand dimension. - Scenario: The backend cannot be logged into after starting the service, and the log prompts MongoDB connection failure. Cause: The
MONGO_URIparameter is not configured correctly, or the MongoDB service does not have authentication enabled, resulting in insufficient connection permissions.
How to Verify Successful Configuration
- Initiate a conversation that includes multi-channel business data, view the conversation log details, and confirm that all business fields are recorded and labeled with data source tags.
- Initiate conversations using test identities for different brands, verify that each identity can only view its own initiated conversation logs.
- Manually disconnect the MongoDB connection, check whether the backend triggers a connection failure alert, and confirm that the log retention configuration is working properly.
- Call the conversation history pull API, confirm that log data can be filtered by brand dimension.
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.