What this category of data looks like
Data sources include internal party building management systems of mining and mineral processing enterprises, monthly study ledgers of each work team, official study documents issued by the party committee, and archived content from online party building platforms. Update schedule follows three rules: synchronize branch study materials monthly, update party committee-level policy interpretation documents quarterly, and synchronize temporary party building notifications immediately upon release. Each single document has a standard structure: title, issuing unit, release date, study theme, applicable work team scope, and main content. Field units are as follows: Chinese name, full unit name, YYYY-MM-DD format, Chinese theme, numeric work team number, character count.
Constraints for conversation logs and audit
The dispersed, multi-source data feature requires conversation logs to integrate associated data from internal party building systems, team ledgers, and online platforms. This ensures full traceability of the original document chain referenced in conversations during audits. Differences in update schedules require the audit module to support filtering conversation records by daily, monthly, or quarterly time ranges. This adapts to varying update cycles for temporary notifications, monthly studies, and quarterly policies. Documents include an applicable work team scope field. Logs must associate the team identifier corresponding to each conversation. This allows filtering compliant conversation content by production team during audits. Documents include an issuing unit field. Logs must record the publishing entity that referenced the document. This facilitates tracing the official source and authority of party building content.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Store as a unique conversation session identifier | Used to associate full-process logs for a single conversation, enabling quick location of complete interactions for a single user or work team during audits. Adheres to FastGPT v4.17.0 session management rules. |
responseChatItemId | Bind to the document ID returned in the conversation | Used to associate party building study documents referenced in conversations, facilitating tracing of content sources and compliance. |
detail | Enable full log mode | Record complete conversation context and parameters, meeting compliance audit requirements for party building studies in mining and mineral processing. |
| Audit Filter Dimensions | Filter by work team, issuing unit, and time range | Adapts to the work team scope and publishing hierarchy characteristics of party building study documents, covering content across different update cycles. |
| Log Storage Period | 180–365 days | Meets compliance retention requirements for state-owned enterprise party building audits. |
| Log Export Format | CSV format | Facilitates organization and submission of subsequent audit reports. |
Three common configuration mistakes
- The copy button fails during conversation log export. The cause is that the
detailparameter is not enabled. Log content is not fully loaded, so the copy interface cannot retrieve valid data. - Audit filter returns no results. The cause is that the team identifier field is not associated in the log configuration. This prevents matching the applicable team scope of party building documents, so no corresponding records are found.
- After an xinference call error, the audit log only displays the status code without specific error information. The cause is that full log mode is not enabled, so detailed stack information from interface calls is not captured.
How to confirm correct configuration
- Initiate a party building study Q&A conversation, check whether a complete session record corresponding to the
chatIdexists in the log list. - After calling the conversation interface, verify that the log binds
responseChatItemIdand associated information for party building documents. - Export the log file, confirm that it includes complete context and error information recorded via the
detailparameter. - Filter logs by preset work team and issuing unit, verify that filter results match actual conversation scenarios.
The values provided here are common starting points. They should be evaluated against the reader’s own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.