What this type of data looks like
Infrastructure engineering investment research data mainly comes from project cost estimates, construction logs, supervision weekly reports, bidding documents, and industry technical standard documents. Update rhythm adjusts dynamically with project milestones. New documents are synced when construction progress updates or design changes occur. Most documents are long text, with a large number of structured tables such as bills of quantities and material consumption sheets, and specialized engineering terms. Fields include project number, section code, schedule milestone, cost amount, etc. Units use common engineering measurement standards including ten thousand yuan, cubic meters, tons, and other general engineering measurement units.
What constraints do these characteristics impose on conversation logging and auditing
The high proportion of long text and structured tables requires logs to fully record complete conversation context and parsed document fragments, to avoid missing audit information due to truncation. The frequent use of specialized terms and project-specific IDs requires audit rules to match specific field formats, to ensure sensitive cost information and project identifiers can be accurately traced. There is no fixed update cycle, so logs must be automatically archived by project to enable full-link auditing across the project lifecycle. The high volume of engineering data calls requires log storage to reserve sufficient quota, to prevent loss of critical audit records due to insufficient storage.
Configuration settings
| Configuration Item | Recommended Value | Rationale | |
|---|---|---|---|
LOG_RETENTION_DAYS | 180 days | Infrastructure project cycles are usually long, and audits require tracing conversation records for at least one full project cycle | |
AUDIT_REGEX_PATTERN | `^([A-Z]{2}\d{6} | \d{4}-\d{2}-\d{2})` | Matches the common section number and schedule milestone formats for infrastructure projects to accurately trigger audit rules |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Infrastructure engineering documents contain a large number of dense tables and scanned files, so OCR and parsing take significantly longer than general documents | |
MAX_LOG_ENTRY_SIZE | 20000 characters | The context of infrastructure engineering investment research conversations usually includes complete engineering document fragments, so long text log storage must be supported | |
LOG_STORAGE_QUOTA | 500 GB | Logs and parsed document caches for a single project will occupy significant storage space, so reserving quota prevents storage overflow | |
ENABLE_CHAT_LOGGING | Enabled | Infrastructure investment research involves sensitive cost information, so all conversation calls must be fully recorded for audit traceability |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test against your own samples before finalizing settings.
Three common mistakes
- Issue: After deploying version v2, the marker log shows
ocr error. Cause: Infrastructure engineering documents contain a large number of scanned files with dense tables, and the default OCR threshold of marker is insufficient to recognize text within the tables. - Issue: Clicking the log export button throws an error indicating regex match failure. Cause: The configured
AUDIT_REGEX_PATTERNdoes not match the section number format of infrastructure projects, resulting in empty extracted fields that prevent successful export. - Issue: Calls are actually made, but the
chat_logfield is empty. Cause: TheENABLE_CHAT_LOGGINGparameter is not enabled, or the configured log storage path has insufficient permissions to write conversation records.
How to confirm the configuration is correct
- Upload a scanned infrastructure engineering document containing dense tables, and check if the OCR-parsed text and OCR time are fully recorded in the
chat_log. - Enter an investment research query containing a project number, and check if the matching rule for
AUDIT_REGEX_PATTERNis triggered in the audit log. - Wait 10 minutes and check the log storage directory to confirm that new conversation records have been written and no timeout errors have occurred.
- Test exporting a single conversation log to confirm that the project number field matched by the regex is correctly extracted and displayed in the exported file.
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.