What the data for this category looks like
Data sources for this category include online composition analysis devices, DCS systems, laboratory testing equipment, kiln and grinding operation equipment, raw and fuel management ledgers, and energy metering devices. Data update frequencies are divided into three categories: real-time, shift-based, and daily. Daily documents include raw material batching plans, kiln operation records, clinker test reports, quality control notices, equipment inspection logs, and energy consumption reports. Document fields are set around core production parameters, with no additional custom content.
What constraints these characteristics impose on workflow orchestration
Data sources for this category are scattered, and update frequencies vary widely. Real-time operation data must be pulled via triggers. Scheduled data must be synchronized by shift or daily. Workflows must adapt to trigger rules for multiple data sources. Daily document structures are diverse. Differentiated parsing rules must be configured for different document types such as batching plans and test reports. Core business links rely on real-time parameters and historical quality inspection data. Workflows must link corresponding data nodes to automatically call associated documents. Verification links must also be configured to avoid risks caused by quality indicator deviations.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Configure knowledgeSearch to dynamically pass raw and fuel ledger IDs and test report batch numbers | This category requires dynamic association with real-time or historical business documents to ensure accurate search matching |
| Single search limit | Top 6 entries | Core business document volume for this category is concentrated; too many entries will exceed context limits |
| Maximum context length | 8000–12000 token | Must accommodate complete content of three core document types: raw material batching plans, kiln operation records, and test reports |
| Trigger node rules | Trigger on real-time data updates, retry failed tasks every 15 minutes | Real-time operation parameters must be synchronized to the quotation preparation process in a timely manner to ensure timeliness of tender documents |
| Document export format | docx | Tender documents must comply with industry-standard delivery formats |
| Version compatibility | Workflow nodes in FastGPT v4.17.0 | This version supports dynamic variables and multi-data source linkage, adapting to the complex data requirements of this category |
Three common mistakes
- Symptom: Knowledge base search returns empty results, with no matching documents. Cause: Dynamic incoming parameters for knowledgeSearch were not correctly configured in
variables, causing the search to fail to associate raw and fuel ledger or test report data for the current project. - Symptom: No Word download link is generated after the workflow runs. Cause: The built-in document conversion and export node was not added, or the export format was not configured as docx.
- Symptom: Workflow nodes fail to run normally after migration. Cause: The data source and variable configuration corresponding to the original
nodeIdwere not rebound, causing node parameters to become invalid in the new environment.
How to verify a successful configuration
- Manually trigger the workflow, check whether the knowledgeSearch parameter in
variablescorrectly passes the business ID of the current project. - After running the workflow, view the knowledge base search results, confirm that the returned documents include core category documents such as raw material batching plans and test reports.
- Verify that the document export node generates a downloadable docx file, check that the file content covers business data required for tender documents.
- View the workflow logs, confirm that the trigger node executes according to preset rules, and failed tasks are retried as configured.
The values provided here are common starting points and should be measured against the reader's own samples.