What This Category of Data Looks Like
Solid waste treatment yield and market data primarily comes from internal enterprise production management systems, regional environmental sanitation supervision platforms, and third-party solid waste disposal industry monitoring databases. Data is aggregated for the full previous day every early morning, then released at a fixed time the following day. Each data entry includes these fields: project unique identifier, disposal category (such as kitchen waste incineration, sanitary landfill, etc.), daily total disposal volume, unit disposal cost, unit disposal revenue, and daily energy consumption indicators. Field units are tons, yuan/ton, yuan/ton, and kilowatt-hours/ton respectively. No additional non-essential statistical fields are included.
Constraints for Tool Calling and Plugins
Decentralized data sources require multi-source API access configuration and cross-source data format alignment during tool calling. This prevents aggregation errors caused by differences in data source fields. The fixed daily update schedule means tool calling triggers must be set after data aggregation finishes, to avoid pulling incomplete temporary data. Detailed disposal categories and energy consumption fields require filter conditions in tool calling parameters, to only pull valid data for the target category. The unified but detailed unit system requires built-in unit verification logic in the plugin, to stop calculation deviations from mixed measurement standards.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_trigger_cron | 0 30 3 * * * | Solid waste treatment data is fully aggregated before 02:00 daily. Triggering 30 minutes later ensures complete previous-day data is pulled |
plugin_data_sources | ["internal_erp", "thirdparty_monitor"] | Solid waste treatment yield data comes from two channels: internal enterprise ERP systems and third-party industry monitoring platforms |
field_whitelist | ["project_id", "disposal_type", "total_disposal_tons", "unit_cost_yuan", "unit_profit_yuan"] | Only retain fields required for yield reporting, to avoid redundant data occupying plugin runtime resources |
api_request_timeout | 600 seconds | Multi-source data pulling combines cross-system response delays. 600 seconds covers request durations for most scenarios |
data_unit_check | Enabled | Solid waste treatment data includes multiple units such as tons, yuan/ton, and kilowatt-hours/ton. Unit consistency must be verified to avoid calculation errors |
multi_source_merge_key | project_id | Associate project data across different sources using the project unique identifier, to ensure accurate data aggregation |
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 settings.
Three Common Misconfigurations
- Phenomenon: A 500 status code is returned when calling the solid waste treatment data import plugin, and the interface prompts file parsing failure. Cause: The
field_whitelistconfiguration is not set to filter non-essential fields, causing the plugin to attempt to parse solid waste treatment data entries with a large number of redundant fields, exceeding memory limits. - Phenomenon: In FastGPT 4.8.10, when configuring a local BGE model as the recall model, the error
{"object":"error","message":"Only allowed nowis returned. Cause: The call permission for local models is not enabled in FastGPT's model configuration, or the deployed BGE model version is incompatible with the current FastGPT version. - Phenomenon: Mixed units appear in the solid waste treatment data pulled by tool calling, such as disposal volume values using both tons and kilograms. Cause: The
data_unit_checkconfiguration is not enabled, and unit consistency across data sources is not verified, leading to unit errors in aggregated data.
How to Verify Successful Configuration
- Manually trigger a tool call, check if the returned data set fields match the
field_whitelistconfiguration, and verify that each field's units conform to solid waste treatment industry standards. - View FastGPT plugin runtime logs to confirm that scheduled tool calls execute at the time specified in the
tool_trigger_cronconfiguration, with no abnormal errors. - Replace the test project ID to verify that multi-source data can be correctly aggregated via the
multi_source_merge_key, with no missing or duplicate data. - Call the configured local or third-party large model to confirm that there are no permission errors or format errors returned by the model during the tool calling process.
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.