Data Overview for This Category
Data related to test case and defect analysis for on-site outsourced operations services originates from customer ITSM systems, on-site monitoring platforms, device asset inventories, and duty logs. Daily produced documents include on-site daily reports, service desk tickets, inspection reports, and SLA monthly reports. Data update frequencies are split into daily and monthly cycles. Daily data corresponds to on-site tickets and duty logs. Monthly data corresponds to inspection summary reports and SLA compliance statistics. Data fields include event number, processing duration, device status, service compliance items, and others. No unified fixed format exists, and matching the field requirements of the corresponding document is required.
Constraints on Forms and Interactions
Dispersed data sources and inconsistent document formats require forms to support adaptation to multiple document field structures. This avoids duplicate entry of identical information across different documents. Data update frequencies fall into daily and monthly categories. Forms must distinguish between single-submission and batch-summary interaction logic to fit different periodic business needs. On-site ticket processing and inspection organization are the most time-consuming steps. Interaction design must simplify filling processes for repeated fields and reduce manual input volume. Operational errors may lead to customer penalties, replacement of on-site staff, or impacts to service contracts. Forms must include required field validation and operation logging to ensure data traceability.
Configuration Guidelines
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from on-site outsourced operations services as required inputs. Actual fields are determined per task | This node collects user input. Missing required fields requires checking interaction status to prevent subsequent nodes from receiving incomplete input |
User selection node userSelect | Test example: Set 2 business options, verify corresponding branches one by one | This node handles user selection. Query and filtering of records related to on-site outsourced operations services must be implemented by subsequent interfaces or external systems |
| Post-submission field passing | Test example: Prepare 10 input samples for on-site outsourced operations services, covering full completion, missing required fields, and canceled operations | Compare input and node output to verify if subsequent nodes receive corresponding fields. Result thresholds are determined per actual task |
| External implementation item: Form submission trigger timing | Must be implemented separately by external systems; real-time submission | Fits immediate processing needs for on-site tickets, and aligns with daily data update frequency |
| External implementation item: Field required configuration | Must be implemented separately by external systems; event number and processing duration are required | Ensures completeness of ticket data, and avoids impacting SLA statistics |
| External implementation item: Batch import template format | Must be implemented separately by external systems; match the field structure of on-site daily reports | FastGPT does not provide batch import functionality. Template adaptation must be implemented by external systems or subsequent nodes, and is used for batch summary requirements of monthly inspection reports |
Common Configuration Errors
Three frequently encountered mistakes are listed below:
- Symptom: The
userSelectdropdown menu has no available on-site problem category options. Cause: The interface for ticket category data from the external customer ITSM system is not connected, so the node cannot load corresponding business options. - Symptom: Form validation passes during workflow debugging, but a required field error is triggered during actual front-end submission. Cause: The
formInputvalidation rules from the debugging environment are not synchronized to the production environment, leading to configuration inconsistencies. - Symptom: A field mismatch error occurs when batch importing inspection reports. Cause: The external import logic does not use a template matching the field structure of on-site daily reports. FastGPT does not provide batch import functionality. This function must be implemented by external systems or subsequent nodes.
How to Verify Successful Configuration
- Open the
userSelectnode configuration panel. Verify that the interface for ticket category data from the external customer ITSM system is connected, and that the node dropdown menu can load corresponding business options. - Submit a test ticket form. Check that character length validation for
formInputfields takes effect, and triggers a prompt when the limit is exceeded. - Enter the workflow debugging page. Simulate the front-end submission process. Verify that the validation logic matches the production environment, with no differences between debugging and production.
- View workflow logs. Confirm that submitted data has been passed to subsequent nodes, and that the external business system completes data synchronization and retention in line with configured requirements.
The values provided here are common starting points, and should be evaluated against specific samples relevant to the target deployment.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.