What the data for this category looks like
Data related to oil and gas extraction yield rates comes primarily from public datasets released by energy regulatory bodies and industry professional data APIs. Updates are scheduled to publish full production and price data for the previous day every early morning, covering production conditions for all extraction blocks on that day. The document structure is a standardized JSON array. Each entry includes fields such as block unique identifier, production date, crude oil production, natural gas production, comprehensive selling price, and per-well operating cost. Units include barrels, cubic meters, US dollars, and others. There are no complex nested levels, and field names are unified and can be directly mapped to basic indicators for yield rate calculation.
What constraints do these characteristics impose on the tool calling and plugins workflow
The daily full data update feature requires tool calling to use a daily fixed scheduled trigger task, to avoid frequent data pulling that consumes API quotas. Mixed units in fields require the plugin to include built-in unit conversion logic, or unify unit formats during result display, to prevent user confusion. The block-by-block statistical business requirement means the workflow must support cyclic HTTP API calls, traversing different block IDs as request parameters to obtain yield rate data for individual blocks. The structured JSON format requires the tool calling parsing mode to be specified as structured parsing, to avoid field extraction errors caused by general text parsing.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
http_request_timeout | 30 seconds | The typical response delay for oil and gas industry data APIs is 10-25 seconds. Setting 30 seconds covers most normal requests and avoids timeout interruptions |
plugin_field_mapping | {"block_id": "block_id", "daily_crude_oil_output": "oil_prod", "comprehensive_selling_price": "spot_price", "cost_per_well": "opex_per_well"} | Matches the field names of the target data source to avoid extraction failures caused by inconsistent field names |
workflow_loop_count | Calibrated based on the number of target monitored blocks | Oil and gas extraction yield rates must be counted per individual block. The loop count equals the total number of extraction blocks to be covered |
response_parse_mode | JSON structured parsing | The data source returns a standard flat JSON format. Structured parsing can directly extract target calculation fields |
chart_render_trigger | Automatically triggered after tool calling completes | Yield rate daily reports require generating visual charts using the pulled data. The rendering process must be triggered immediately after data pulling is complete |
The parameter values provided on this page are conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: The workflow cyclic HTTP API call only returns data for a single block, and does not cover all target blocks. Cause: The block ID list is not configured as a traversal variable in the loop parameters, and only a single preset block API is called fixedly.
- Phenomenon: The tool call returns XML or JSON code blocks but does not render AntV charts. Cause: The
chart_render_triggerparameter is not set to automatically trigger after tool calling completes, or the field mapping relationship required for chart rendering is not bound in the plugin. - Phenomenon: The tool calling function cannot select the associated knowledge base. Cause: The linkage configuration switch between tool calling and the knowledge base is not enabled, or the data source range associated with the knowledge base is not specified in the plugin configuration.
How to confirm the configuration is correct
- Trigger a single tool call, check if the returned raw data includes preset fields such as block ID, production volume, selling price, etc., with no missing or formatting errors.
- Run the workflow cyclic task, check if the task log traverses all target blocks, and each block returns corresponding yield rate calculation data, with no omissions or duplicates.
- Manually trigger chart rendering, confirm that the expected visual chart is generated on the page, with no field mismatch or format error reports.
- Check the tool calling running log, confirm that the HTTP request timeout setting matches the API response delay range, with no timeout or connection failure error records.
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.