What This Type of Data Looks Like
Power grid equipment investment research data comes from four main sources: equipment factory test reports, operation and maintenance inspection ledgers, real-time grid dispatch operation data, and infrastructure project archives.
There are three update frequency categories:
- Real-time operation data is updated at minute-level intervals
- Inspection records are updated daily or weekly
- Test reports and infrastructure archives are updated once after project completion
The document structure for a single device includes fields such as device ID, model, rated voltage, active power threshold, insulation resistance parameters, historical fault records, and maintenance cycle. Units are as follows: MW for active power, MΩ for insulation resistance, and ℃ for temperature. A complete single archive can be dozens of pages long.
Constraints Imposed on Dialogue Logging and Auditing
The high-frequency updates, multi-field units, and long document lengths of power grid equipment data impose clear constraints on dialogue logging and auditing.
- High-frequency real-time operation data requires logs to support millisecond-level recording to avoid missing key parameter change nodes
- Multi-field data with units requires audit processes to verify parameter formats, preventing research conclusion bias caused by unit errors in dialogues
- Long document structures require logs to link specific document fragments and citation positions to enable traceability of dialogue basis
- Long-term investment research traceability requirements mandate that log retention periods cover the full project cycle to meet power industry compliance audit standards
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 365 days | Long-term retention of audit logs is required for power grid equipment investment research to meet power industry compliance traceability requirements |
LOG_MAX_STORAGE_SIZE | 2000 GB | Single-device archive data for power grid equipment has large volume, so sufficient storage must be reserved for high-frequency dialogue logs |
CONTEXT_RECALL_INCLUDE_LOG | Enabled | Investment research dialogues often need to associate device parameters referenced in prior conversations, so logs must be included in the context recall scope |
PARSE_DOCUMENT_CHUNK_SIZE | 1000–1500 characters | Power grid equipment documents contain multi-dimensional parameters and fault records, so chunk length is adapted for long document splitting |
LOG_AUDIT_FIELD_VALIDATE | Enabled | Power grid equipment parameters have clear units, so it is necessary to verify the format compliance of referenced fields in logs |
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.
Three Common Misconfigurations
- Symptom: After calling the
execute_codetool and returning results, the front-end console displaysJSON parse error: unexpected end of input. Cause: In open-source versions v4.8.11 and later, code execution results are not properly serialized into a transmittable log format, causing abnormal dialogue log recording. - Symptom: In a local deployment environment, dialogue logs are automatically cleared after 7 days with no backup. Cause: The
LOG_RETENTION_DAYSparameter is not configured, and the default retention period is too short to meet the long-term audit requirements of power grid equipment. - Symptom: Generated guest share links without login have no corresponding guest Q&A records in the backend logs. Cause: The
LOG_SHARED_LINK_VISITconfiguration is not enabled, so dialogue behavior of non-logged-in users is not recorded, making audit traceability impossible.
How to Confirm Configuration Is Successful
- Navigate to the log management page in system settings, check the current value of the
LOG_RETENTION_DAYSparameter, and confirm it matches the retention period required by business compliance standards. - Initiate a dialogue including a query for power grid equipment parameters, and verify that the query content, returned results, and referenced document fragments are fully recorded in the dialogue log.
- Generate a guest share link without login, use the link to initiate a dialogue, then log in to the backend audit page to confirm that corresponding guest dialogue records are generated.
- Upload a power grid equipment operation and maintenance document, trigger a code execution test, and verify that the complete process and results of code execution are recorded in the log.
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.