What the data for this category looks like
Data sources for white goods financing daily reports include dealer financing management systems from home appliance brands, corporate financing ledgers from partner banks, and daily reported data from supply chain financial service platforms. Data updates daily at midnight to reflect financing details from the previous calendar day. Each data document includes three core content types: subject identification, financing details, and associated inventory batches. Fields include 经销商名称, 融资主体统一社会信用代码, 当日融资到账额 (unit: ten thousand RMB), 融资期限 (unit: calendar days), 关联库存批次数量 (unit: units), 授信机构名称, and 数据上报日期 (format: YYYY-MM-DD).
What constraints these characteristics impose on tool calling and plugins
Multiple data sources require tool calling to support cross-endpoint authentication and data merging. Plugins must be configured with linked execution logic for multiple APIs. The daily update rhythm requires scheduled tools to match the data update window. Set the CRON_EXPRESSION parameter to match the pull timing. Fields include home appliance-specific attributes such as 关联库存批次数量. This requires passing SKU metadata as an input parameter when calling tools. Plugins must pre-set mapping rules between SKUs and financing subjects to avoid data matching mismatches. The large number of fields per data entry requires tool calling field filter parameters to support specifying target fields, reducing invalid data transmission.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PLUGIN_DATA_SOURCE_LIST | ["bank_finance_api", "dealer_finance_api", "sku_meta_api"] | Covers all three data source systems to ensure completeness of financing daily report data |
CRON_EXPRESSION | 0 0 2 * * * | Matches the data source update window at 1 AM daily, delays pulling by one hour to avoid unsynchronized data |
UPSTREAM_API_TIMEOUT | 30 seconds | Adapts to the total time limit for calling multiple data sources, prevents timeout interruptions for single calls |
SKU_MAPPING_ENABLE | Enabled | Enables mapping rules between SKUs and financing subjects, associates home appliance inventory batches with financing data |
FIELD_FILTER_LIST | ["Dealer Name", "Daily Financing Arrival Amount", "Linked Inventory Batch Quantity"] | Extracts core financing daily report fields to reduce invalid data transmission |
API_AUTH_TYPE | ["bearer_token", "api_key"] | Adapts to different authentication requirements for multiple data sources, ensures interface call permissions |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: A
413 Request Entity Too Largeerror is returned when uploading financing daily report files via an API call workflow. Cause: TheUPLOAD_FILE_MAX_SIZEparameter is not configured, or its value is smaller than the actual size of the uploaded file. - Issue: An parameter error prompt appears after passing an API call workflow to the knowledge base. Cause: The knowledge base ID is not passed as a workflow input parameter, only configured as a global variable without binding the corresponding parameter in the call request.
- Issue: A MySQL database connection tool executes an SQL query with no results returned. Cause: The SQL statement does not filter exclusive financing data for white goods dealers, or the database connection user does not have query permissions for the corresponding business tables.
How to Verify Proper Configuration
- Initiate a single tool call, then check if returned results include preset core fields, and that field formats match data source standards.
- Manually trigger the scheduled tool task, confirm it completes within the expected time window with no error logs.
- Call the workflow and pass the knowledge base ID, confirm the workflow can properly associate documents from the target knowledge base and complete retrieval.
- Test the MySQL tool's SQL query statement, confirm it returns valid financing detail data for the corresponding white goods subject.
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.