What the Data for This Category Looks Like
Data sources for gas industry marketing include gas operation management systems, user payment platforms, offline service ledgers, and online service backends. There are two data update schedules. Real-time events such as payments and outreach actions are updated at millisecond intervals. Batch data such as user tags and gas usage trend analysis is updated on a daily scheduled basis. Single data entries include user identification, gas usage attributes, consumption behavior, and service preference fields. Some fields have dedicated units: gas volume uses cubic meters, payment amount uses yuan. The character length of a single user profile data entry ranges from hundreds to 1000. The length of marketing material template data varies based on content complexity.
What Constraints These Characteristics Impose on Workflow Orchestration
The multi-source mixed data update model for the gas industry requires workflows to support mixed trigger logic. Workflows must handle real-time behavioral events and scheduled batch tasks simultaneously. Fields with dedicated units require workflow judgment nodes to have unit verification rules configured. This prevents logical errors caused by cross-unit calculations. The binding logic between user profiles and marketing materials requires workflows to dynamically pull real-time values of corresponding fields. Fixed template filling methods do not meet this requirement. Multi-touch outreach records must be synchronized in real time. This requires workflow node transfer delays to be controlled within a reasonable range to ensure marketing content timeliness. Some data is stored in distributed databases. Workflows must adapt to database cluster node switchover scenarios to avoid task failure caused by connection interruptions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
triggerMode | real-time + scheduled | Gas data includes real-time payments, outreach actions, and scheduled updated user tags. Both trigger modes must be supported |
fieldUnitCheck | enabled | Gas data includes fields such as monthlyGasConsumption (cubic meters) and lastPaymentAmount (yuan) with dedicated units. Unit consistency must be verified |
dynamicDataPullInterval | 5 seconds | Real-time outreach actions require rapid pulling of the latest user attributes to ensure marketing content timeliness |
workflowDelayThreshold | 3 seconds | Marketing outreach must be completed shortly after user behavior occurs. Excessive delay will affect outreach effectiveness |
changeStreamReconnectMaxRetries | 5 retries | Some gas data is stored in MongoDB replica sets. Sufficient retry times must be configured to handle primary node failover |
multimodalEnabled | enabled | Marketing material generation with image recognition support is required. The multimodal function switch must be enabled |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. Testing on local test samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- A
MongoDB change stream disconnectederror occurs when a workflow triggers. Automatic recovery fails. The cause is that thechangeStreamReconnectMaxRetriesparameter is not configured. Reconnection logic is not triggered when the primary node drifts. - A workflow judgment node cannot switch branches based on Boolean global variables. Logs show a type mismatch error. The cause is that strict type verification is not enabled, and no type verification processing is performed for Boolean values.
- A multimodal node returns a prompt that image content cannot be recognized after processing an uploaded image. Logs show only text input is supported. The cause is that the
allowedInputTypesparameter is not configured, and images are not included in the allowed input type range.
How to Confirm Proper Configuration
- A simulated real-time payment event is triggered. Verify that the workflow starts within the preset delay and generates corresponding marketing content.
- The value of a Boolean global variable is manually modified. Verify that the workflow judgment node correctly switches the corresponding execution branch.
- A test image is uploaded to the multimodal node. Verify that analysis results related to the image content are returned.
- A MongoDB primary node failover scenario is simulated. Verify that the workflow automatically reconnects and resumes normal operation.
- A tool call node is run. Confirm that the output node does not display the original return content of the tool call.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.