What the data for this category looks like
The data sources for computer equipment intelligent due diligence reports include three categories: public parameter documents from hardware manufacturers, enterprise asset ledger systems, and device operation logs collected by operations and maintenance. Data update rhythms differ: basic parameters such as hardware model and CPU specification are static data, updated only when equipment is purchased or firmware is upgraded; real-time data such as operation logs and online status is updated at minute or hour intervals. The document structure is mainly composed of structured fields, including device serial number, model, memory capacity, hard disk specification, firmware version, purchase date, operation and maintenance records, etc. Field units mostly use common hardware units such as GB, TB, GHz, and some fields must comply with enterprise asset coding rules.
What constraints these characteristics impose on the deployment and upgrade link
The requirement for multi-source data access requires configuring multi-interface adaptation rules during the deployment phase to avoid data format conflicts from different sources. The difference in update rhythms between static and real-time data requires distinguishing trigger logic for incremental synchronization and full update during the upgrade phase to reduce unnecessary resource consumption. The diversity of fields and units requires configuring field mapping and unit verification rules during the deployment phase to prevent format errors in parsed data. Device data includes sensitive information such as serial numbers and MAC addresses, requiring synchronized updates of desensitization configurations during the upgrade phase to comply with data compliance requirements.
How to set the configurations
| Configuration Item | Recommended Value | Basis for This Value |
|---|---|---|
PARSE_DEVICE_DATA_TIMEOUT | 300 seconds | A single due diligence report includes parameter parsing for multiple computer devices, which needs to cover the delay of batch processing |
UPLOAD_FILE_MAX_SIZE | 1500–2000 MB | Computer equipment due diligence reports include multiple types of data such as hardware specifications and operation logs, which needs to adapt to large file upload requirements |
DATA_SYNC_INTERVAL | 1 hour (operation data), 24 hours (hardware parameters) | Operation data has a high update frequency, while hardware parameters have a low change frequency, requiring differentiated synchronization cycles |
DATA_DESENSITIZATION_RULES | Mask processing for serial number and MAC address fields | Computer equipment data includes operation and maintenance sensitive fields, requiring desensitization rule configuration to comply with compliance requirements |
ALLOWED_DATA_SOURCES | Manufacturer API, asset ledger system, operation log library | Covers multi-source access scenarios of computer equipment data to ensure data integrity |
The parameter values given on this page are all conventional recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: An
ERROR: failed to solve: archive/tar: unknown file modis returned when executingdocker build, and the deployment process is interrupted. Cause: No local image cache is configured in an intranet environment, leading to abnormal tar package parsing when pulling the base image. - Phenomenon: Some hardware fields are empty or unit matching errors occur after the due diligence report is parsed. Cause: No dedicated field mapping rules for computer equipment are configured, confusing the general parsing template with the dedicated field format of the equipment.
- Phenomenon: A
504 Gateway Timeoutis triggered after batch upgrade, and the synchronization task fails. Cause: The batch size of incremental updates is not adjusted, causing the single synchronization data volume to exceed the gateway limit.
How to confirm the configuration is correct
- Upload the standard export file of a single computer device to the system, and verify that the parsed field names and units completely match the original data.
- Execute the
docker buildcommand in the local intranet environment to confirm that there are no tar package parsing related errors. - Trigger an incremental synchronization task, and verify that the number of synchronized devices matches the configured synchronization scope.
- View the due diligence report generated by the system to confirm that sensitive fields have been desensitized according to the configuration.
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.