What the data for this category looks like
Data used for electronic component yield rate daily reporting draws primarily from authorized distributor public APIs and industry market aggregation data sources. The data falls into two categories:
- Original factory guidance prices, updated once daily to support daily reporting requirements
- Spot trading market prices, refreshed every 15 minutes to enable real-time market synchronization
Data documents use standard JSON format. Core fields include material code, latest transaction price, previous trading day settlement price, daily trading volume, and supplier filing number. Pricing uses RMB per piece as the unit, trading volume uses unit as the unit. All data fields strictly follow electronic component industry material identification specifications.
What constraints these characteristics impose on HTTP interface and external system integration
The multi-source structure, varying update frequencies, and standardized field rules for electronic component data create several constraints for HTTP interface and external system integration:
- Pull original factory guidance prices once daily to support daily reporting workflows
- Set a reasonable request interval for high-frequency spot market data to avoid hitting data source rate limits
- Add verification logic for parallel multi-source pulls to prevent distorted results from single data source failures
- Require input material codes to strictly follow industry coding standards; non-compliant codes return empty results
- Include clear unit markers in all returned fields to simplify unified parsing by external systems
How to configure settings
Use the following table for recommended configuration values and their rationales:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
FETCH_INTERVAL | Spot scenario: 10-15 minutes, original factory guidance price scenario: 24 hours | Matches the official update frequency of the corresponding data source |
REQUEST_TIMEOUT | 30 seconds | Electronic component data sources typically respond within 10 seconds; this timeout setting prevents blocking of subsequent processes |
SOURCE_VALIDATION_SWITCH | Enabled | When pulling data from multiple sources in parallel, verify result consistency to block abnormal data |
MATERIAL_CODE_PATTERN | Matches the general 13-digit material coding rules of the electronics industry | Complies with industry material identification specifications to ensure valid input parameters |
RESPONSE_UNIT_MARKER | Enabled | Clearly mark the unit of each field to support unified parsing by external systems |
MAX_RETRY_TIMES | 3 times | Addresses occasional data source fluctuations, reducing task interruptions from single request failures |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material type, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: Calling the file parsing interface returns a timeout or delayed results. Cause: No reasonable segment length parameter configured for long text in electronic component specification documents.
- Phenomenon: Testing returns a 500 status code after configuring a locally deployed model. Cause: Incorrect configuration of the model interface request headers and address prefix.
- Phenomenon: The interface returns empty values for specified fields. Cause: Input material code does not match general industry coding rules, and the verification switch is not enabled.
How to confirm successful configuration
- Initiate a single pull request, and verify that returned fields match the preset electronic component data structure.
- Initiate 3 consecutive high-frequency requests, and verify that no data source rate limiting error prompts appear.
- Submit a material code that does not conform to coding rules, and verify that the returned result is empty or includes a clear error prompt.
- Compare results pulled from dual data sources, and verify that the verification logic functions correctly.
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.