"Random Inspection and Public Disclosure" Regulatory Inspection: Declaration Materials and File Review - Workflow Orchestration

"Random Inspection and Public Disclosure" Regulatory Inspection: Declaration Materials and File Review - Workflow Orchestration

What this category of data looks like

Data for this category typically originates from the "random inspection and public disclosure" regulatory platform, enterprise credit information public disclosure system, industry regulatory systems, and law enforcement officer directory. Update frequency is monthly. Daily processed documents include inspection plans, inspection target lists, inspection item lists, on-site inspection records, rectification notices, and inspection result public disclosures. Common data fields include inspection target identifiers, law enforcement officer numbers, inspection ratios, inspection result statuses, and more. There are no unified fixed unit requirements. Some documents need to be associated with cross-system subject information.

Multi-system data sources require workflows to include cross-platform data pull nodes. This ensures synchronization of monthly updated inspection target and law enforcement officer information. Diverse document types require workflows to set branch nodes. These nodes handle separate links including inspection plan generation, inspection record entry, and result public disclosure pushing. Monthly update rhythms require scheduled trigger nodes to run on natural monthly cycles. This avoids frequent data pulls that occupy system resources. Some inspections do not enter penalty procedures. Workflows do not need to connect to penalty file nodes. They only focus on verification of the inspection and public disclosure process. This prevents non-compliant selections or missed result public disclosures.

How to set configurations

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended SettingRationale
Scheduled trigger cycle00:00 on the first day of the natural monthMatches the monthly update rhythm of data sources
Branch judgment conditionSplit by document typeAdapts to processing of multiple document types such as inspection plans and inspection records
variables configurationStore inspection ratios and public disclosure template parametersUnify and reuse business rules, reduce duplicate configuration
Database connection timeout30–60 secondsAdapts to response duration of cross-system data pulls
File upload node size limit10–20 MBMatches conventional sizes of attachments such as on-site inspection photos
nodeId configurationName by business link, such as check-record-02Facilitates debugging and management of workflow nodes

Three common configuration mistakes

  • Attempting to publish a workflow via a personal WeChat QR code prevents multiple people from scanning to access. The reason is that the workflow's sharing permission is not configured for full access. Personal QR code scanning only supports single or designated account access.
  • Database connection nodes cannot accept port number input. The reason is that the advanced configuration switch is not enabled. Port parameters for some database connections are hidden in advanced settings by default.
  • Tool call nodes using the qwen3.5-plus model frequently return 429 status codes. The reason is that request frequency limits are not configured. Parallel execution count of nodes is not adjusted based on the model's call quota.

How to confirm the configuration is complete

  • Manually trigger the workflow once. Verify whether current month's inspection target and law enforcement officer data can be pulled.
  • Upload a simulated on-site inspection photo or record document. Confirm the workflow enters the corresponding processing branch based on document type.
  • View workflow run logs. Confirm no timeout exceptions occur in database connection requests.
  • Call the tool node multiple times. Confirm no errors related to frequency limits appear.

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.