What the data for this category looks like
This category’s data originates from State-owned Assets Supervision and Administration Commission investment supervision systems, enterprise ERP and project management systems, industry market data, audit and financial statements, and is updated quarterly. Daily produced documents include annual investment plans, project proposals, feasibility study reports, due diligence reports, asset evaluation reports, and post-investment evaluation reports. Document fields cover project investment amount, construction cycle, market forecast data, financial calculation indicators, risk control ratings, and more. Core fields differ across documents: project proposals focus on pre-demonstration data, while post-evaluation reports focus on post-launch operational data.
What constraints these characteristics impose on the "workflow orchestration" link
This category’s data is updated quarterly, so workflow data source synchronization nodes must match the quarterly update rhythm, and overly frequent triggering logic must be avoided. There are significant differences in fields across different document types, so workflows must be configured with differentiated field mapping rules for each document type to ensure accurate data extraction. The need to connect multiple data sources requires setting multiple cross-system nodes in the workflow, and nodeId must be used to distinguish the calling logic of different data sources to avoid node conflicts. Additionally, errors in this category have serious consequences, so workflows must be configured with failure retry and exception alert nodes to ensure process stability.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Project field mapping rules updated quarterly | Matches the quarterly update rhythm of this category’s data, distinguishes core fields for different document types |
| Trigger Frequency | Once every 90 days | Complies with the quarterly data update requirements of State-owned Assets Supervision and Administration Commission investment supervision systems |
nodeId | Assign a unique identifier to each cross-system node | Distinguishes the calling logic of State-owned Assets Supervision and Administration Commission systems, ERP systems, and market data platforms, avoids node confusion |
| Retry Count | 3 times | Addresses temporary network fluctuations during multi-source data connection, ensures success rate of data acquisition |
| Timeout Duration | 600 seconds | Adapts to the time required for data analysis and content generation for large feasibility study reports |
| Document Chunk Length | 800–1200 characters | Adapts to the content length of single chapters in this category’s documents, improves generation accuracy |
Three common mistakes
- Phenomenon: The data analysis node in the workflow cannot execute consistently, and selecting the corresponding work order fails to trigger the preset operation. Cause: The association mapping rule between work orders and project data is not configured via
variables, causing the node to fail to recognize the target data source. - Phenomenon: The workflow runs normally in debug mode, but a call error occurs in production mode. Cause: Unique
nodeIdis not assigned to different cross-system nodes, leading to conflicts in node calling logic in the production environment. - Phenomenon: Loop execution nodes cannot be added to the workflow, and multi-project data cannot be processed in batches. Cause: The conditional parameters for loop triggering are not configured in
variables, causing the loop logic to fail to take effect.
How to confirm the configuration is complete
- Trigger the workflow, check whether the data source synchronization node pulls project data from the corresponding system with quarterly update rhythm.
- Switch to production mode to run the workflow, confirm that the calling logic of all cross-system nodes is normal and no error messages are displayed.
- Test the fixed operation node: after selecting the corresponding work order, check whether the node can trigger the preset data analysis or document generation operation.
- Export the complete session record of the workflow, confirm that all session fragments are included.
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.