What the data for this category looks like
Data related to electronic component market trends and yield rates comes from three types of public data sources: official manufacturer price pages, vertical component supply chain data interfaces, and industry spot trading platforms. Update rhythms vary across sources: spot trading quotes are updated every calendar day, official guide prices are updated every 7 calendar days, and inventory quantity data is updated every 24 hours. A single standard data entry includes fields such as component model, manufacturer name, batch number, transaction unit price, inventory quantity, and update time. The unit price field includes a pricing unit, such as yuan/piece or yuan/reel. Bulk data is usually packaged in JSON or CSV format, using component model plus batch as the unique identification tag.
What constraints do these characteristics impose on deployment and upgrade
Multiple data sources with differentiated update rhythms require adapting to multiple interface authentication rules and independent scheduling configurations during deployment, to avoid data pull failures caused by unified scheduling. Fields include unit information and have unique identifiers, so unified field mapping rules and deduplication logic must be configured during deployment to prevent data chaos and duplicate entries. Different data sources have different access permissions; some interfaces require IP whitelist configuration, which must be completed in advance during deployment. The upgrade phase must be compatible with old configuration formats, to avoid data pull interruptions caused by failed configuration file migration, and ensure that the new version's scheduling logic is compatible with old data sources.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SOURCE_TYPE | ["official_quote", "spot_trade", "inventory"] | Covers three core business data sources: official guide prices, spot quotes, and inventory data |
SCHEDULER_CRON_EXPRESSION | Spot task: 0 0 1 * * ?, Official guide price task: 0 0 2 * * 1 | Matches the actual update frequency of corresponding data sources to avoid invalid pull requests |
FIELD_MAPPING_RULES | Component Model: sku, Manufacturer Name: manufacturer, Unit Price: price, Unit: unit | Unifies original fields from different data sources to system standard fields, preventing unit confusion |
DATA_CLEAN_DUPLICATE_ENABLE | true | Uses component model plus batch as the unique identifier to automatically filter duplicate data |
API_WHITELIST_IP | Data Source Service Provider Official Export IP Range | Meets IP access restriction requirements for some data source interfaces |
CONFIG_MIGRATION_MODE | auto | Automatically migrates old configurations during version upgrades, reducing manual operation costs |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis, and it is recommended to test on internal samples before finalizing settings.
Three common mistakes
- Phenomenon: Calls to data source interfaces return 403 Forbidden status codes, or cloud database connections fail. Cause: Access whitelists required by data sources or databases are not configured, or whitelist IP configurations are inaccurate.
- Phenomenon: Pulled electronic component data lacks unit fields, or unit formats are inconsistent. Cause: Field mapping rules are not configured, and original unit fields from data sources are not mapped to system standard fields.
- Phenomenon: After upgrading to v4.8.20-fix version, the system prompts that configuration files are missing or have incorrect formats on startup. Cause: Configuration migration was not performed according to the upgrade documentation, and the configuration format from the old config.json file is still relied upon.
How to confirm the configuration is complete
- Execute a manually triggered data pull task, check if the returned electronic component data includes all configured standard fields, and that field formats and units meet expected requirements.
- View scheduled task scheduling logs, confirm that pull tasks for different data sources run on schedule according to the configured cycle, with no abnormal error records.
- Test the validity of the configured whitelist IPs, verify normal access permissions by calling data source interfaces.
- After upgrading the version, view the system configuration panel, confirm that configuration items from the old config.json have been automatically migrated to the new configuration storage location, with no configuration loss or 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.