What the Data for This Category Looks Like
Data related to oilfield service engineering yield comes from internal operational ledgers of oil and gas engineering service enterprises and project revenue monitoring data from third-party oil and gas market information platforms. The update schedule completes daily data updates before 18:00, covering revenue data for all operation projects from the prior day. The data uses a structured two-dimensional table format, including fields such as service module name, project unique code, current period input cost, current period settlement revenue, operation duration, etc. All numeric fields use units of ten thousand yuan or hours, and no percentage-based statistical values are included.
Constraints for Form and Interaction Workflows
The multi-source, dispersed nature of oilfield service engineering data means forms must support custom data source mapping configurations to adapt to interface field differences across different enterprises. Fixed service module categories require forms to provide preset dropdown options, eliminating format inconsistencies caused by free text input. The fixed daily update schedule means forms must bind to scheduled trigger rules, automatically pulling data after updates complete to prevent retrieval of outdated, non-effective data. Most numeric fields have fixed units, so forms must include built-in unit validation rules to block non-numeric inputs or inputs with incorrect units. The presence of project unique codes means forms must support fuzzy search matching of existing project codes to improve entry efficiency.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Form Preset Options | Drilling Engineering, Logging Service, Fracturing Operation, Cementing Service | Matches standard service categories for oilfield service engineering, reducing format errors from free text input |
Scheduled Trigger Configuration | 0 18 * * * | Matches the daily pre-18:00 update schedule for oilfield service engineering data, ensuring retrieval of the latest valid data |
HTTPRequest timeout | 30 seconds | Adapts to response durations of most oil and gas data interfaces, avoiding request interruptions due to timeouts |
Input Validation Rule | Numeric Field Range: 0 to 999999, Unit Validation: ten thousand yuan | Matches the non-negative attribute and fixed units of numeric fields in oilfield service engineering data, blocking invalid inputs |
JSONPath Extraction Rule | $.data[*].{serviceType: service_module, cost: current_input_cost, revenue: current_revenue} | Extracts target fields according to the document structure of oilfield service engineering data, adapting to downstream workflow usage |
Form Control Type Configuration | {"service_module": "select", "project_code": "search", "current_input_cost": "number", "current_revenue": "number"} | Adapts to entry scenarios for different fields, improving form filling efficiency |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After extracting response content from an HTTP request node, downstream nodes cannot obtain the target variable, and logs show the extracted field is empty. Cause: The JSONPath extraction rule was not configured in the interface, or the extraction path does not match the actual structure of the response data.
- Symptom: The form editing interface only displays 3 built-in controls, and custom input components that meet oilfield service engineering requirements cannot be added. Cause: The configuration permission for custom controls was not enabled, or the configuration file for the custom component was not uploaded according to platform requirements.
- Symptom: After submitting long text form content, knowledge base retrieval results deviate or have no matching content. Cause: No automatic truncation or segmentation rules were configured for long text, causing the input content to exceed the model's context window limit.
How to Confirm Successful Configuration
- Manually trigger the form's data retrieval task, check whether the returned content includes all configured fields, and verify that the field format matches the JSONPath extraction rule.
- Enter the form editing interface, confirm that all preset service module options have loaded, and that the corresponding input control types meet field requirements.
- Submit a test data set, perform a knowledge base retrieval operation, confirm that the retrieval results are relevant to the input content, and that the long text processing rules have taken effect.
- View the scheduled task's running logs, confirm that the retrieval task is automatically triggered at the specified time each day, and that the returned data is the day's updated content.
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.