What the data for this category looks like
Electronic component data sources include original factory public specifications, authorized distributor price databases, industry standard documents, customs clearance data, and customer BOM lists. Data update rhythms fall into two categories: Original factory specifications are updated per product iteration cycles. Authorized distributor price data is synced weekly. Industry standard documents are revised annually. Each single document has a fixed structure, including fields such as package type, rated parameters, operating temperature range, pin parameters, and compliance markings. Most parameter units are physical units like ohms, farads, degrees Celsius, millimeters, and some fields include tolerance annotations.
What constraints these characteristics impose on workflow orchestration
The multi-source, heterogeneous nature of electronic component data requires workflow configurations to pull data from different sources in parallel across multiple nodes. This avoids lag or missing data from single sources. Differences in update rhythms across data sources require workflows to set differentiated scheduled trigger intervals. For example, pull original factory specification data once every 7 days, and sync price data once every 24 hours. Fixed document structures paired with multiple physical unit fields require workflows to add parameter validation nodes. These nodes automatically identify units and convert data to a unified format, preventing unit mismatches in subsequent analysis. Batch processing requirements for multiple fields require workflows to configure batch parsing nodes. These nodes support extracting key information grouped by field, aligning with the structured output requirements of electronic component due diligence reports.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Electronic component specifications typically include large numbers of pin parameters and compliance details, leading to long parsing times. 600 seconds covers the full parsing process |
UPLOAD_FILE_MAX_SIZE | 500 MB | The total size of a single collection of original factory specifications or batch BOM lists typically does not exceed 500 MB, preventing upload timeouts |
maxContext | 800–1200 characters | Electronic component parameter fields are mostly short text. This range fully covers the contextual information of a single parameter group, avoiding truncation of critical data |
Recall Count | Top 8 entries | Electronic component due diligence covers three core dimensions: package, parameters, and compliance. The top 8 entries cover valid information from mainstream suppliers |
Similarity Threshold | 0.75 | Electronic component model naming rules are consistent. A threshold of 0.75 accurately matches parameter data for the same model across different batches, preventing mismatches with similar models |
WORKFLOW_TRIGGER_MODE | Triggered by file upload | Electronic component due diligence typically starts with user-uploaded BOM lists or specifications. Triggering by upload automatically starts the parsing process |
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. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- A
400 Bad Requesterror is returned when calling the workflow trigger API, with the promptmissing required field: kb_id. This occurs because the global knowledge base ID is not correctly passed in the API request body, and the global variable configured in the platform settings is not synchronized to the workflow trigger parameters. - Some electronic component parameter fields are empty after configuring the document upload parsing node. This occurs because no field mapping rules are set, and the workflow does not extract corresponding fields according to the fixed structure of electronic component documents, leading to failure to capture critical parameters.
- Workflow execution times out and cannot complete parsing of batch electronic component specifications. This occurs because the
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the low-duration configuration for general product categories is used, which cannot cover the complex parsing requirements of electronic component documents.
How to Verify Proper Configuration
- Call the workflow trigger API and check if the request body includes the
kb_idfield, and that the field value matches the global knowledge base ID configured in the platform. - Upload a standard electronic component specification and check if the parsed fields cover core content such as package type, rated parameters, and compliance markings.
- View the workflow execution logs to confirm that multi-source data pull nodes synchronize data at preset intervals, with no failed retry records.
- Adjust the parameter units of the test case to confirm that the workflow's parameter validation node can automatically identify and convert units, with no errors.
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.