What the data for this category looks like
Data sources for black home appliance research reports include the official monitoring database of the China Household Electrical Appliances Association, publicly available dealer operation data from leading brands, and public research report libraries from third-party industry consulting institutions. Update cadence falls into three categories:
- Monthly regular updates for overall market data
- Quarterly updates for in-depth analysis documents of segmented categories
- Temporary documents triggered by emergencies such as raw material price fluctuations or new product launches, with no fixed cycle
Document structures include a core indicator summary module, channel sales breakdown module, raw material cost analysis module, and consumption trend judgment module. Some documents include structured tables and trend charts. Fields include sales, average price, raw material cost, inventory turnover days, and more. Corresponding units are ten thousand units, yuan per unit, yuan per ton, and days, respectively.
What constraints these characteristics impose on tool calling and plugins
The multi-source and decentralized nature of black home appliance research reports requires tool calling plugins to support authentication and data aggregation for multi-data source APIs, and configure cross-source data alignment rules. Documents with different update cadences require fixed recall cycles for regular monthly research reports, and keyword-triggered real-time pull mechanisms for temporary emergency documents. Documents with complex mixed structures require plugins to support structured extraction of PDF tables and field extraction of unstructured text, and adapt to parsing of fields with specific units such as sales and average price. The special unit system requires automatic unit standardization verification during tool calling to avoid unit inconsistencies across source data, and adapt to parsing logic differences across document modules.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 180 seconds | Black home appliance research reports are mostly long documents containing tables and charts, and 180 seconds is sufficient for structured parsing |
rag_recall_top_k | Top 8 entries | Research report data for segmented black home appliance categories is decentralized, and 8 entries can cover core indicators and trend analysis |
tool_call_max_retry | 3 retries | Multi-source data pull may experience temporary interface fluctuations, and 3 retries can improve data acquisition success rate |
mcp_api_format | OpenAI format | Most industry data source MCP interfaces adapt to the OpenAI format calling specification |
field_unit_standardize | Enabled | Fields such as sales and average price in black home appliance research reports have different unit expressions, and unified conversion to standard units of ten thousand units and yuan per unit is required |
plugin_schedule_interval | 86400 seconds | Pulling monthly updated research report data once daily ensures data timeliness and balances interface load |
The parameter values provided on this page are common recommended 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.
Three Common Mistakes
- Phenomenon: Tool calls return a 401 Unauthorized error, and no core data of black home appliance research reports is included in the returned fields. Cause: MCP authentication parameters are not configured correctly, and the data source's API_KEY is not filled in the corresponding authentication field, resulting in inability to access the research report data source.
- Phenomenon: The analysis code generated by the plugin fails to correctly identify the unit fields of black home appliances, and unit confusion appears in the output results. Cause: The field standardization configuration is not enabled, and units such as ten thousand units and yuan per unit are not uniformly converted, resulting in errors in the code parsing logic.
- Phenomenon: Tool calls return a timeout error with a status code of 504 Gateway Timeout. Cause: The set tool call timeout period is too short, and it does not adapt to the request duration of multi-source data aggregation for black home appliance research reports, resulting in the interface being terminated before data pull is completed.
How to Confirm Proper Configuration
- Enter the FastGPT plugin configuration page, verify the configured MCP data source authentication parameters, and confirm that the authentication information matches the data source requirements.
- Upload a local black home appliance research report document, trigger the plugin parsing process, and check whether the structured data after parsing includes the core indicator fields in the research report.
- Initiate a tool call request, and check whether the field format and units of the returned result conform to the preset standardization rules.
- View the tool call log records, confirm that the configured timeout, retry and other parameters have been normally applied, and there are no abnormal error messages.
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.