What the data for this category looks like
Data sources for this category include national public resource trading platforms, local public resource trading platforms, project approval systems, and bidding supervision systems. The update frequency is daily. Daily generated business documents cover bidding announcements, pre-qualification documents, bidding documents, tender documents, bid evaluation reports, successful bid candidate notices, and successful bid result announcements. All types of documents include fixed business fields. For example, bidding announcements include section information and qualification requirements, while successful bid result announcements include core content such as successful bidder and successful bid amount.
What constraints these characteristics impose on workflow orchestration
Daily updated data requires workflow configuration with scheduled trigger nodes to sync business data at a fixed rhythm, avoiding missed newly added bidding documents that day. Multiple fixed-structure business documents require workflow branch nodes to divide differentiated processing paths by document type, ensuring that parsing and extraction logic matches corresponding fields for different documents. Multiple data sources require workflow cross-platform data verification nodes to compare identical items across channels, preventing data deviations or conflicts. For time-consuming steps such as splitting sections and verifying qualification conditions, workflows need to arrange automated processing nodes to replace repetitive manual operations. Exception handling branches must also be reserved to handle data parsing failures or process interruptions, mitigating risks such as suspended bid results or delayed project startup.
Reference only; verify against the target FastGPT release and deployment documentation.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Scheduled trigger node | Execute daily at 2 AM, maximum single data pull volume of 1000 entries, timeout threshold set to 600 seconds | Matches the daily business data update frequency, avoids platform peak hours, prevents data pull timeouts |
variables configuration | Bind preset fields such as bidding sections, qualification requirements, successful bid amount | Corresponds to the fixed field structure of category business documents, ensuring accurate data extraction |
nodeId configuration | Assign unique identifiers to each workflow node | Prevents ID conflicts during execution of multiple components or branch nodes, ensuring process stability |
| Cross-source data verification node | Compare identical items across national public resource trading platforms and local platforms | Meets consistency requirements for multi-source data, corrects data deviations promptly |
| Exception alert node | Trigger threshold set to 3 consecutive failed data parsing operations | Matches the update rhythm of business documents, handles abnormal processes promptly |
| Workflow branch node | Divide processing paths by document type (bidding announcement / bid evaluation report) | Corresponds to the characteristics of multiple types of business documents in the category, enabling differentiated processing |
Three common mistakes
- Phenomenon: Workflow AI node return results are not associated with uploaded bidding documents, and only a small amount of context is displayed in the conversation details. Cause: The uploaded business documents are not bound to the
variablesparameter, or the processing node that directly passes documents to the large model is not configured. - Phenomenon: Multiple code running components added to the workflow cannot execute normally. Cause: Unique
nodeIdis not configured for each component, resulting in node ID conflicts during execution. - Phenomenon: The problem optimization node cannot call preset environment variables. Cause: Environment variable calling permission is not enabled in the workflow global configuration, or variables are not correctly bound to node parameters.
How to confirm the configuration is complete
- Manually trigger the workflow, check that the number of pulled business documents matches the number of data updated on the public resource trading platform that day.
- View the context logs of the AI node, confirm that the bound
variablesparameter includes the content of the corresponding business documents. - Test the execution of multiple code running components, confirm that the output results of each component meet expectations and have no conflicts.
- Simulate abnormal data scenarios, check whether the exception alert node triggers alerts according to the preset threshold.
The values provided here 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.