What the data for this category looks like
Relevant data for SLA and service reports comes from monitoring systems, ticket systems, contract libraries, and customer communication records. The update cycle is monthly or quarterly. Daily produced documents include SLA clauses, monthly service reports, availability statistical reports, and customer review minutes. Document structures include fields such as service cycle identifier, event type, response threshold, actual completion duration, and customer feedback tags. Fields use units corresponding to cycle, duration, count, and other metrics. There are no fixed, uniform field length limits.
What constraints these characteristics impose on forms and interactions
Data sources are dispersed, so external business systems must enable field association configuration across multiple sources. This eliminates errors from manual entry. The update cycle is fixed as monthly or quarterly. External business systems must preset cycle options, and support batch generation of report templates for the corresponding cycle. Document field structures are fixed. External business systems must match preset field groups to reduce custom configuration complexity. Errors may lead to compensation disputes and customer complaints. External business systems must configure required field verification and data integrity check logic to ensure output content accuracy.
How to set configurations
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from SLA and service report fields as required inputs. Actual fields are determined by the task | This node collects user input. Missing required items require checking interaction status to avoid subsequent nodes failing to receive complete input |
User selection node userSelect | Test example: Set 2 business options, check corresponding branches one by one | This node handles user selection. Querying and filtering SLA and service report related records must be implemented by subsequent interfaces or external systems |
| Field passing after submission | Test example: Prepare 10 SLA and service report input samples, covering complete filling, missing required items, and cancellation operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields. Result thresholds are determined by actual tasks |
| External implementation item: Data source binding rules | Must be implemented separately by external systems; associate three types of data sources: monitoring systems, ticket systems, and contract libraries | Ensures the integrity of data sources |
| External implementation item: Field verification configuration | Must be implemented separately by external systems; configure required item verification, and pop up prompts when missing | Avoids service disputes caused by incomplete fields |
| External implementation item: Single data pull limit | Must be implemented separately by external systems; configured by the external data source system, the recommended starting point is the first 150 entries, to be measured | Adapts to the test data volume of monthly service reports, and is calibrated based on actual measurements |
Three Common Mistakes
- After an SLA and service report related form is submitted, subsequent nodes do not receive complete fields. Compare required items, actual submitted content, and node output mapping one by one, then check subsequent interface returns. Existing symptoms cannot independently determine the root cause.
- Symptom: After selecting a service cycle via the
userSelectnode, subsequent data pull nodes do not execute. Cause: The output variable of theuserSelectnode is not bound to the trigger condition of subsequent nodes. - Symptom: Pulled monitoring system data has empty abnormal event type fields, leading to incorrect SLA indicator calculations. Cause: Invalid data filtering is not configured in the external data source binding settings, causing records with missing fields to be imported.
How to Confirm Configuration is Complete
- Manually enter a test data entry, check whether all required fields trigger pop-up verification prompts.
- Operate the
userSelectnode to select different service cycles, confirm whether subsequent nodes can normally call data for the corresponding cycle. - View logs bound to external data sources, confirm that corresponding data from monitoring systems, ticket systems, and contract libraries can be pulled normally.
- Use the external business system to adjust the number of input box columns for
formInput, check whether the page layout adapts to multi-field display requirements.
The values provided are common starting points and should be measured against the reader's own samples.
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.