What this category's data looks like
Due diligence data for computer equipment comes from three main sources: official hardware manufacturer APIs, internal enterprise IT asset management systems, and reported logs from operation and maintenance monitoring platforms. Two update schedules apply:
- Basic asset information syncs in real time when a device connects to the network or its configuration changes.
- Operation and maintenance performance metrics are pulled every 5 minutes.
Data is delivered as structured JSON or CSV. It includes fields such as device serial number, model, CPU clock speed, memory capacity, total storage capacity, firmware version, network access time, and maintenance expiration date. Field units are GHz, GB, TB, and YYYY-MM-DD format respectively. No deeply nested complex structures are used.
Constraints Imposed on HTTP Interfaces and External Systems
The structured fields and multi-data source nature of this data require HTTP interfaces to support multiple authentication methods. Manufacturer APIs use API Key authentication. Internal IT systems use OAuth2 authentication. Fields include numeric values with specific units. Interface parameter validation must enforce matching field types and unit rules. For example, CPU clock speed parameters must be validated as values with a GHz suffix. Real-time sync and high-frequency pull update schedules require interfaces to set reasonable request frequency limits. This avoids triggering rate limiting policies of external systems. Unique identifier fields require interface responses to carry device serial numbers for deduplication. This ensures accurate data association when external systems connect. Date field query needs require interfaces to support range filtering by fields such as network access time and maintenance expiration date. This allows accurate pulling of device data within a specified period.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
external_api_auth_type | api_key or oauth2 | Adapts to the multi-authentication requirements of computer equipment data sources. Manufacturer APIs mostly use api_key, while internal IT systems mostly use oauth2 |
api_request_interval | 300 seconds | Matches the 5-minute pull schedule for operation and maintenance metrics, avoids frequent calls that trigger external system rate limiting |
response_field_whitelist | ["serial_number", "model", "cpu_freq", "memory_capacity", "storage_capacity", "maintenance_expire"] | Only retains fields required for due diligence reports, reduces external data transmission volume, and avoids irrelevant fields interfering with report generation |
field_unit_validation | Enabled | Computer equipment data includes numeric fields with units, enabling validation ensures access data format compliance |
api_timeout | 60 seconds | Covers the typical response duration of hardware manufacturer APIs, prevents due diligence tasks from being interrupted due to slow external interface responses |
api_retry_times | 3 times | Addresses temporary fluctuations in external interfaces, improves data pull success rate |
The parameter values provided on this page are common starting points for configuration work. Actual values vary based on data form, volume, and business rules. Specific scenarios require targeted analysis. It is recommended to test on your own samples before finalizing configurations.
Three Common Configuration Mistakes
- Phenomenon: After pulling computer equipment data via an external interface, the generated due diligence report is missing some fields. Cause: The
response_field_whitelistconfiguration is not set. Redundant interface return fields may be filtered, or field names may not match system presets. - Phenomenon: HTTP interface calls return a 429 status code, and requests are rejected. Cause: A reasonable
api_request_intervalis not configured. Call frequency exceeds the external system's rate limiting threshold. - Phenomenon: API-triggered due diligence tasks do not retain context information. Subsequent calls cannot associate historical data. Cause: Context persistence is not enabled in workflow configuration, or HTTP interface requests do not include valid session ID parameters.
How to Verify Correct Configuration
- Send a test HTTP request. Check that returned fields include core information such as device serial number and CPU clock speed. Verify that field units match preset rules.
- Send multiple consecutive requests. Check returned status codes to confirm 429 rate limiting is not triggered. Verify that the request interval meets external system requirements.
- Review workflow logs. Confirm that each API call includes a session ID. Ensure context information is saved and associated correctly.
- Check interface authentication settings. Send a request with an invalid API Key. Confirm a 401 Unauthorized status code is returned to validate authentication logic.
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.