What This Category of Data Looks Like
Data for this category primarily comes from customer requirements, public data sources, collection tools, and in-house sample libraries. Updates occur once per project cycle or weekly. Daily supporting documents include collection plans, sample specifications, authorization statements, and task schedules. Core fields cover collection scope, target field requirements, compliance status, and task execution progress. There are no fixed unified units; specific units are adjusted flexibly based on collection type. The most time-consuming steps are typically sample scope definition, field specification confirmation, and collection legality verification. Incorrect collected data may render samples unavailable or cause project rework.
Constraints Imposed on Workflow Orchestration
Decentralized data sources require workflow configurations to include multiple data source connection nodes. Use variables to define field mapping rules for different data sources. Uneven update rhythms require support for project-cycle or scheduled triggers, with nodeId used to bind task start/stop nodes. Multiple supporting documents and non-uniform field standards require adding parameter verification links in the workflow to align with field requirements of collection plans and sample specifications. Compliance fields need to embed authorization status verification nodes to proactively avoid collection compliance risks. The most time-consuming sample scope definition link can be optimized for execution efficiency via parallel node configuration in the workflow.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Data source node configuration | Bind corresponding tool nodes by collection type, support multi-node parallel | Adapt to collection requirements for multi-source data and improve execution efficiency |
variables configuration | Configure mapping parameters according to the collection field list, cover all target fields | Ensure fields extracted from multiple data sources meet the requirements of the collection plan |
| Task trigger rule | Set scheduled or manual trigger according to project schedule, bind nodeId to associate predecessor tasks | Match the update rhythm of single project or weekly updates, adapt to the node scheduling rules of FastGPT v4.17.0 |
| Task timeout threshold | 600 seconds, adjust according to project complexity | Adapt to the execution duration requirements of single-project collection and avoid abnormal task interruptions |
| Parameter verification threshold | Calibrate based on actual testing, cover field length requirements of 500-1000 characters | Ensure collected data conforms to the constraints of sample specifications |
| Parallel node count | No more than 5, adjust according to server resources | Improve execution efficiency of multi-source data collection |
| Result output configuration | Configure summary output according to task cycle, single output no more than 1000 MB | Match the update rhythm of daily document tasks and avoid oversized output files |
Three Common Misconfigurations
- After calling an image URL node in the workflow, the result field is empty and images cannot be rendered. The cause is that the mapping parameter for the image URL was not configured in
variables, causing the node to fail to correctly extract the target link. - A timeout error occurs after the workflow is triggered, and task execution is interrupted. The cause is that the task timeout threshold is set too low and does not match the actual execution duration of the single-project collection.
- When configuring Chinese and English conversation opening prompts, language trigger branches are not distinguished, resulting in chaotic output formats. The cause is that a language judgment node was not configured in the workflow, and the corresponding opening prompt template was not called according to the user's input language.
How to Verify a Correct Configuration
- Navigate to the workflow debugging page, select the corresponding data source node, and confirm that the field mapping configured in
variablesmatches the collection plan. - Manually trigger a test task, review the output of the compliance verification node, and verify that the authorization status field has been correctly identified.
- Adjust the task trigger rule to confirm that the workflow executes per the preset project cycle or manual trigger node.
- View the preview data from the result output node and confirm that the collected field formats meet the sample specification 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.