What this category of data looks like
The data for this category mainly comes from the project quality and safety supervision system, construction site real-name platform, supervision logs and test reports. Its update frequency is once per week. Daily documents include supervision plans, supervision inspection records, hidden danger rectification notices, quality problem handling forms, and completion acceptance supervision reports. Each document contains fields such as main entity unit information, inspection time, hidden danger content, rectification requirements, and acceptance conclusions. This category centers on construction site supervision, and differs from construction permit-related start threshold management. No additional fictional statistical data is included.
What constraints these characteristics impose on the "workflow orchestration" link
Decentralized data sources require the workflow to connect to multiple system nodes, and adapt to different interface formats and data structures. The weekly update frequency means high-frequency synchronization is unnecessary. Scheduled pull tasks can be configured to reduce invalid calls. Multiple types of documents must be categorized by supervision plan, inspection record and other types, with corresponding field extraction rules bound. This avoids field confusion between different documents. The most time-consuming links of inspecting on-site materials, tracking rectification closure, and verifying acceptance conditions require corresponding verification nodes. This ensures the workflow covers all business links. Hidden danger rectification closure involves multi-entity handover, so inter-node state verification must be set up to prevent workflow interruption. Risks related to quality accidents require the workflow to add result verification nodes. This ensures output content complies with supervision regulations.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Bind system parameters such as project number and inspection time | Receive non-dialogue parameters passed by the system side, to ensure complete workflow context |
nodeId | Number according to the execution order of workflow nodes | Facilitate locating abnormal nodes and quickly troubleshooting workflow interruption issues |
| Single request timeout | 300–600 seconds | Adapt to large data volume pull scenarios of engineering documents, avoid timeout caused by large data size |
| Workflow trigger rule | Trigger on a weekly scheduled basis | Match the weekly update frequency of this category's data, reduce invalid calls |
| String judgment rule | Match using "contains" or "ends with" | Adapt to verification scenarios for text such as hidden danger descriptions and rectification results, align with business judgment needs |
| Number of documents pulled per single request | Top 10–20 entries | Adapt to conventional data volume of supervision logs and test reports, avoid excessive node load |
Reference only; verify against the target FastGPT release and deployment documentation.
Three common configuration mistakes
- When referencing HTTP return content in a workflow, the AI does not produce corresponding output. The cause is that the return content is not correctly bound to the
variablesparameter, so subsequent nodes cannot call this data. - The string judgment node always triggers the ELSE branch. The cause is incorrect configuration of the judgment rule: "contains" or "ends with" was mistakenly set to "equals" or "starts with", causing the matching logic to fail.
- Data crossover occurs in global variables during multiple concurrent requests. The cause is that global variables were not configured for single-session isolation, leading to variable overwriting between different requests.
How to confirm the configuration is complete
- Trigger a workflow once, check the node log, and confirm that system-passed parameters such as project number and inspection time are correctly bound to
variables. - Simulate input of different types of engineering documents, and verify that the output of the string judgment node conforms to the expected matching rules.
- Initiate two concurrent test requests, and confirm that no data crossover occurs in global variables, with variables from each request not affecting each other.
- Wait for the weekly scheduled trigger task, and confirm that the workflow automatically pulls the latest supervision inspection records and completes workflow execution.
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 2026-09-28.