What the Data for This Category Looks Like
Four primary sources provide construction machinery investment research data: public reports released by industry associations, official equipment parameters and financial reports published by original equipment manufacturers (OEMs), on-site operating data from construction projects, and quotation and bidding information from upstream and downstream supply chains. Update cycles vary by data type: industry associations release updated reports quarterly, OEMs update equipment parameters every six months, construction sites synchronize operating data hourly, and supply chain platforms update quotations in real time as market conditions shift. Document structures include standardized fields such as equipment model, rated power, rated lifting capacity, operating fuel consumption, competitor comparison, and policy compliance requirements. Most fields use standard industrial units like kilowatts, tons, liters per hour, and yuan per unit. A single core report can contain several thousand characters of text.
What Constraints Do These Characteristics Impose on Conversation Logging and Auditing?
The multi-source nature, varied update frequencies, and segmented field structure of construction machinery investment research data create clear constraints for conversation logging and auditing. First, systems must record the data source and update time for every call in log entries. This allows auditors to verify data timeliness and prevent use of expired equipment parameters or outdated quotations. Second, systems must accurately log specific called fields such as rated lifting capacity and operating fuel consumption. This avoids audit deviations caused by field confusion. Additionally, systems must pair real-time operating data with the timestamp of when the conversation initiated. This ensures auditors can match retrospective reviews to the correct data source version at the exact time of the call. Systems must also fully record parsed fragments of long-text documents. This allows auditors to verify how content was extracted and used.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
log_retention_days | 180 days | Construction machinery investment research audits cover quarterly and semi-annual review cycles. 180 days aligns with industry standard audit requirements |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Construction machinery industry reports are often large PDF or Excel files. 1000 MB covers most single-file upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single construction machinery industry report documents are often lengthy. 300 seconds covers the full parsing process |
max_log_content_length | 2000 characters | Key fragments of construction machinery investment research documents are typically thousands of characters long. This setting prevents log storage overflow |
similarity_threshold | 0.75 | Low-relevance data source calls must be filtered out in investment research conversations. 0.75 balances recall accuracy and coverage |
audit_field_include | Equipment Model, Rated Power, Working Condition Fuel Consumption, Data Source Update Time | Core audit dimensions for construction machinery investment research are parameter accuracy and data timeliness. The above fields must be forcibly recorded |
Three Common Configuration Mistakes
- Symptom: Database connection timeout errors appear in logs, and investment research conversations cannot return construction machinery parameter data. Cause: The correct database storage address is not configured, or database access permissions are not granted to the deployment node.
- Symptom: After adding a custom plugin to the workflow, input and output parameters are not displayed, and no error logs are generated. Cause: Recording rules for plugin parameters are not configured in
audit_field_include, so the log fails to capture parameter loading status. For the open-source version v4.8.20-fix2, this issue often occurs when plugin configuration fields are not synchronized for updates. - Symptom: The copy button for conversation logs does not respond when clicked, and audit records cannot be exported. The front-end console displays the error
bootstrap-legacy-autofill-overlay.js:6247 Uncaught TypeError. Cause: A reasonable upper limit formax_log_content_lengthis not set, so log content exceeds front-end rendering limits.
How to Verify Correct Configuration
- Navigate to the log management page, randomly select one construction machinery investment research conversation log, and verify that preset audit fields such as
equipment modelanddata source update timeare included. - Simulate an investment research conversation that includes a rated power query, and check that the log records complete call parameters and returned data fragments.
- Test the database connection configuration, and confirm that the log shows a connection success status code
200with no timeout errors. - Click the copy button for any log, and confirm that log content can be copied to the clipboard with no front-end errors.
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
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.