Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Data for this category originates from administrative law enforcement case handling systems, law enforcement recorder footage, the National Enterprise Credit Information Publicity System, and departmental supervision databases. The update frequency is daily. Daily generated documents include on-site inspection records, inquiry transcripts, evidence lists, prior administrative penalty notification letters, hearing notification letters, penalty decisions, delivery receipts, and similar items. The core focus is on illegal facts and penalty decisions, requiring traceable evidence chains and document archives. Fields cover law enforcement subject information, illegal circumstances, discretion basis, penalty content, delivery status, and related details.
What constraints do these characteristics impose on the workflow orchestration link
Scattered data sources require cross-system retrieval, so workflows must support connecting and validating multi-source data nodes to ensure matching between retrieved evidence and document data. Daily updated law enforcement data requires batch processing within fixed time windows, so workflows must include scheduled trigger mechanisms to avoid data backlogs. Various document types with fixed formats require dedicated field extraction and validation rules for each document to ensure compliance of law enforcement documents. Traceability of evidence chains requires adding node log retention and association binding functions in workflows to prevent data gaps. The rigor of law enforcement documents requires adding manual review nodes in the discretion basis and legal clause application links to reduce error risks.
How to set the configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Global variable array assignment | Use the format ["law enforcement subject", "illegal facts", "penalty content"] | Standardize entry of core law enforcement fields and unify data flow formats |
| Maximum cycle node run count | 1000 times | Match the conventional scale of law enforcement case file batch processing |
| Workflow timeout threshold | 600 seconds | Cover the conventional time required for cross-system data retrieval and document generation |
variables | Configure variables based on preset fields of law enforcement documents | Unify data call rules for each node in the workflow |
| Node failure retry count | 3 times | Offset the impact of temporary network fluctuations or system response delays |
nodeId | Bind to core evidence extraction nodes | Ensure status traceability and backtracking for key links |
Three common mistakes
- Phenomenon: Workflows get stuck during text concatenation steps after cycle nodes, with no clear error logs. Cause: The output format of the cycle node is not correctly configured, causing the concatenated text to exceed the input length threshold allowed by the node and triggering link blocking.
- Phenomenon: After assigning a global variable string array, fields appear empty when called by nodes. Cause: The assignment is not in standard JSON array format, leading to variable parsing failure.
- Phenomenon: After configuring a Feishu Webhook node, law enforcement document notifications cannot be pushed normally. Cause: The availability of the Webhook address is not verified in advance in the workflow, or the concatenated text content is not correctly passed to the push node after the cycle node.
How to confirm the configuration is correct
- The workflow is manually triggered, node logs are reviewed, and the output text format of the cycle node is confirmed to meet preset requirements.
- The global variable assignment interface is called to verify that the parsed result of the array variable matches the preset value.
- The Feishu Webhook node is tested individually to confirm normal push of test messages prior to connection to the workflow chain.
- The workflow timeout threshold is adjusted to simulate cross-system data retrieval scenarios, and the workflow is confirmed to not be interrupted due to timeout.
The values given 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.