What the data for this category looks like
Multiple sources provide tourism attraction investment research data for financial investment research scenarios. Real-time operational data is sourced from attraction ticketing systems and passenger flow monitoring devices, with update frequencies ranging from minute-level to second-level. Visitor feedback data comes from OTA platforms and on-site message boards, updated daily. Static documents include attraction guidebooks and cultural tourism policy documents, with irregular update cycles.
The data structure mixes structured and unstructured formats. Structured data includes fields such as passenger flow volume, ticket sales volume, and ratings, with units of person-times, tickets, and 1-5 stars respectively. Unstructured data includes visitor comment content and on-site consultation records, with no fixed format.
What constraints do these characteristics impose on the conversation logging and auditing link?
The multi-source, heterogeneous data characteristics require conversation logs to record both structured invocation parameters and unstructured conversation content. This avoids losing critical operational information during audits. The high-frequency updates of real-time data require log writing to support low latency. Otherwise, teams cannot trace visitor consultations and corresponding data source status from recent time periods. Mixed-structure data requires audit logs to support multi-format export, to adapt to different compliance checks and operational analysis scenarios. Additionally, attraction data involves sensitive information such as real-time passenger flow and current traffic restriction policies. The audit link must fully trace invocation chains to ensure data access is traceable.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 30–90 days | Tourism attraction investment research requires tracing recent operation-related conversations, and also complies with cultural tourism industry compliance retention period requirements |
AUDIT_LOG_INCLUDE_SOURCE | Enabled | Tourism attraction data includes sensitive operational data such as real-time passenger flow and ticketing information. Full tracing of invocation chains is required |
MAX_LOG_STORAGE_SIZE | 500 GB | Multiple high-frequency data sources in attractions generate logs, to avoid exhaustion of storage resources |
CONTEXT_WINDOW_LOGGING | Enabled | Tourism attraction conversations often involve real-time passenger flow and temporary traffic restriction policies. Full context is required for audit troubleshooting |
LOG_EXPORT_FORMAT | JSON + CSV dual format | Mixed structured and unstructured log content adapts to different audit and analysis scenarios |
AUDIT_ALERT_THRESHOLD | Abnormal invocation count ≥10 times/minute | Real-time data source interfaces are vulnerable to abnormal invocations. Alerts must be triggered in a timely manner |
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. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Scenario: After deploying an embedding model container in an offline environment, a
request to external cl100k.tiktoken failederror appears when executing a curl request. Cause: The local tiktoken file path is not configured, causing the container to attempt to pull external network resources and fail to complete initialization. - Scenario: After calling the POST interface for deleting conversations, conversation records are not cleared, and the interface returns a
403 Forbiddenstatus code. Cause: TheAUDIT_LOG_DELETE_PERMISSIONconfiguration is not enabled, resulting in insufficient permissions to delete audit logs. - Scenario: No response content is returned after initiating a visitor consultation conversation. Checking server logs reveals
recall result is empty. Cause: Real-time passenger flow and ticketing data sources for the attraction are not correctly synchronized to the knowledge base, resulting in empty recall content.
How to confirm configuration is complete
- Execute a log export interface call, verify that the returned content includes data source invocation records and complete conversation context, to confirm that audit log configuration is correct.
- Initiate a consultation conversation related to real-time attraction operations, wait a reasonable amount of time for log generation, then check the storage directory to confirm that corresponding log entries have been created.
- Submit a conversation deletion request, check the system conversation list to confirm that the target conversation has been cleared, to verify that the deletion permission configuration is effective.
- View the system alert configuration panel, confirm that the abnormal invocation alert rule is bound to the attraction data source interface, to verify that the audit alert configuration is effective.
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.