What the data for this category looks like
Data for white goods intelligent due diligence reports comes from official home appliance manufacturer APIs, national energy efficiency label databases, e-commerce platform sales and review APIs, and third-party quality inspection institution reports.
Update frequency varies by scenario: basic parameters sync in real time when new products launch, after-sales data updates daily, and compliance certification information syncs once per quarter.
A single due diligence report typically includes basic attribute fields (model, appearance dimensions, rated power), energy efficiency rating, 3C certification number, after-sales repair rate keywords, and high-frequency user review terms. Dimensions use millimeters as the unit. Power uses watts as the unit. Energy efficiency ratings follow a 1 to 3 level grading system. Model names use a fixed format combining letters and numbers.
Constraints on HTTP Interfaces and External Systems
Multiple diverse data sources require interfaces to support multiple authentication methods to meet access requirements for different sources. Many fields with fixed naming rules require interfaces to support specifying returned fields to avoid redundant transmission. Single documents with large attachments such as quality inspection report PDFs require interfaces to support large file upload and retrieval. Incremental updates as the primary mode require interfaces to support incremental synchronization to reduce resource consumption from full calls. Precise matching for compliance fields requires interfaces to strictly validate field mapping rules to prevent data misalignment.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | White goods due diligence reports often include large single files such as quality inspection reports and energy efficiency label scans. 500 MB covers most scenarios |
API_REQUEST_TIMEOUT | 120 seconds | Pulling data from multiple sources requires waiting for responses from manufacturer and e-commerce APIs. 120 seconds prevents timeouts from common network delays |
SYNC_INCREMENTAL_ENABLE | Enabled | White goods data updates primarily focus on new product launches and new after-sales data. Incremental synchronization reduces API call volume and transmission costs |
FIELD_MAPPING_RULE | Precise matching by field name | White goods fields such as 能效等级 and 额定功率 follow fixed naming rules. Precise matching prevents field mapping errors |
RETRY_TIMES | 3 times | External APIs may experience occasional fluctuations. 3 retries improve call success rates without adding excessive delay |
AUTH_TYPE | Mixed multi-authentication configuration | Different data sources use different authentication methods such as API keys and OAuth2. Mixed configuration supports multi-source data pulling requirements |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Calling an API to trigger a workflow returns
400 Bad Request, with a prompt that the knowledge base ID was not passed. The cause is that a global knowledge base variable was only set within the platform, and the knowledge base ID was not passed via API request parameters. This causes the workflow to fail to read the corresponding knowledge base. - Uploading a large quality inspection report PDF returns
413 Payload Too Large. The cause is that theUPLOAD_FILE_MAX_SIZEconfiguration was not adjusted, and the platform's default small file limit was used. This fails to meet the large attachment requirements of white goods due diligence reports. - Calling an API to pull data returns with the
额定功率field missing. The cause is thatFIELD_MAPPING_RULEwas not configured for precise matching, causing fields to be incorrectly mapped to other similarly named fields and resulting in loss of target data.
How to Verify Successful Configuration
- Call the test interface with specified white goods model parameters, check if the returned results include preset fields such as
能效等级,额定功率, and3C认证编号. - Upload a quality inspection report PDF under 500 MB, confirm the interface returns
200 OKand the workflow can correctly parse the file content. - Trigger an incremental synchronization task, check that the pulled data only includes new content within the update period, with no fully duplicated historical data.
- View workflow run logs, confirm that the knowledge base ID parameter passed via the interface is correctly read and used to recall relevant documents from the corresponding knowledge base.
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.