What the Data for This Category Looks Like
12345 hotline ticket handling data comes from the 12345 hotline platform, contractor business systems, knowledge bases, follow-up evaluation data, and local hotline management regulations. Data updates once daily. Daily documents include request registration forms, dispatch records, handling replies, follow-up records, extension applications, return explanations, and knowledge base entries. Core fields cover request numbers, request types, contracting units, handling statuses, follow-up satisfaction, and more. Each ticket links to multiple associated documents. Data generates in real time as tickets circulate, and is summarized and updated daily.
What Constraints These Characteristics Impose on Workflow Orchestration
Multi-source heterogeneous data sources require workflows to include cross-system data pull nodes, to adapt to different ticket document formats. The daily update rhythm restricts workflow trigger frequency. Avoid setting execution intervals that are too short, to prevent exceeding system carrying capacity. Core time-consuming links include request type and responsible unit judgment, and return and re-dispatch processing. Workflows must add pre-check and exception branch nodes, to ensure key links can be accurately controlled. Business logic centered on closed-loop public request handling requires workflows to cover all process nodes from registration to follow-up. Do not omit processing branches for special scenarios such as returned tickets, extensions, and unsatisfactory follow-ups.
Configuration Settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
variables | Set to ["request number", "contracting unit", "handling status", "follow-up satisfaction"] | Covers core statistical fields of 12345 ticket ledgers, matches basic needs for ledger summary |
| Node Trigger Delay | 300 seconds | Matches daily data update rhythm, avoids high system load from frequent triggers |
nodeId | Bind to the node IDs of "request type judgment" and "return and re-dispatch processing" | Precise control over core workflow execution links, skipping redundant non-essential nodes |
| Historical Associated Record Count | Keep the first 3 ticket records | Avoids excessive historical data slowing processing speed, aligns with conventional associated logic of ticket circulation |
| Timeout Threshold | 600 seconds | Covers conventional processing duration of 12345 ticket handling, prevents unexpected workflow interruptions |
| API Attachment Limit | 100 MB | Matches size range of common supporting materials in ticket handling, adapts to file upload requirements for API calls |
Three Common Misconfigurations
- Phenomenon: Workflow does not complete all nodes and no error prompt is displayed. Cause: Required field validation for
variablesis not configured. Some tickets skip subsequent execution nodes directly because core parameters such as request number and contracting unit are missing. - Phenomenon: The number of historical tickets associated with the workflow exceeds the preset number and includes older historical records. Cause: Only the number of associated records is limited without specifying a time range, resulting in pulling old ticket data beyond business needs.
- Phenomenon: Unable to upload attachment files when calling the workflow via API. Cause: Attachment upload permission is not enabled in API configuration, or the set file size threshold is lower than the actual size of the uploaded file.
How to Verify Proper Configuration
- Manually trigger the test workflow, pass simulated ticket data, and check whether the generated ledger fields completely match the configured
variables. - Simulate ticket status updates, check whether the workflow starts execution according to the configured trigger delay and node rules.
- Upload a test file exceeding the preset threshold, call the API to trigger the workflow, and check whether the corresponding exception prompt is returned.
- Simulate a long-time-consuming ticket processing scenario, check whether the workflow triggers exception branch processing when the timeout threshold is reached.
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.