What the data for this category looks like
This category involves entities including the special equipment section of market supervision bureaus, inspection and testing institutions, use units, and maintenance units. Daily processed documents include use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, and operator certificates. Data sources are the special equipment safety supervision system, inspection and testing institution systems, use unit ledgers, and operator certificate databases. The update frequency is once per month. Core fields include equipment number, inspection cycle, maintenance record number, operator certificate number, and more. Most document formats are a mix of structured tables and unstructured text.
What constraints these characteristics impose on the workflow orchestration link
Multiple data sources with monthly updates require workflows to support cross-source data pulling and scheduled trigger tasks. Mixed structured and unstructured document formats include single Word documents with 100,000 Chinese characters or Excel data with over 15,000 rows. This requires workflows to support large file parsing and segmented processing. Core review links are time-consuming. Splitting checks of equipment registration and inspection cycles, verification of maintenance and operator qualifications, and tracking of hidden danger rectification and closing into independent nodes facilitates process monitoring and exception troubleshooting. Review errors may lead to equipment shutdown, administrative penalties, or special equipment accidents. This requires workflows to have clear failure handling branches configured.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Includes equipment number, inspection cycle, operator certificate ID | Covers core verification fields for special equipment review, facilitating parameter transfer between nodes |
nodeId | Assigned in link order: 100 = material pulling, 200 = qualification verification, 300 = cycle check, 400 = rectification tracking | Facilitates quick location of nodes with execution exceptions, simplifying process debugging |
| Chunk length | 800–1200 characters | Adapts to segmented parsing of large documents, avoids context overflow, and improves parsing efficiency |
| Nested loop body levels | 2 levels | Meets nested invocation requirements for multiple review links, prevents execution stack resource exhaustion |
| Database connection timeout threshold | 60 seconds | Adapts to network latency for cross-system data pulling, avoids connect ETIMEDOUT-type errors |
| Multi-turn question and answer result filtering | Only retain the output of the last node | Aligns with business requirements to only return the content of the final answer |
Three common configuration mistakes
- A database connection shows
connect ETIMEDOUTin the workflow, but the database can be accessed normally in the local environment. The cause is that the network access policy between the workflow deployment environment and the database is not open, or the database connection parameters in the environment variables are configured incorrectly. - The nested loop body levels exceed the preset upper limit, causing the workflow execution to interrupt with no valid output. The cause is failure to plan the nested levels in advance, with direct configuration of multiple nested levels leading to execution stack resource exhaustion.
- After importing a Word document with 100,000 Chinese characters or Excel data with over 15,000 rows, the parsed result fields are empty. The cause is failure to configure chunk parameters adapted to large files, leading to memory overflow or content truncation during parsing.
How to confirm the configuration is complete
- Execute the database connection test node, check whether the returned results include the expected special equipment ledger data.
- Import a single Word document with 100,000 Chinese characters, verify whether the workflow completes segmented parsing and content extraction normally.
- Trigger the configured multi-level nested loop node, confirm that the output results conform to the preset nested logic.
- Run multiple sets of AI question and answer nodes, confirm that the final output only retains the results of the last question and answer.
The values provided are common starting points and should be assessed against relevant operational 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.