What Data Looks Like for This Category
Aerospace equipment due diligence data comes primarily from public project approval documents, ground test reports, supplier qualification documents, public airshow materials, and internal archived records in the national defense and military industry sectors.
Data update frequency varies by project phase: weekly updates during the approval phase, and monthly updates during the finalization phase.
Most documents use multi-chapter structured formats, including modules such as core system parameters, test sequence records, and supporting parts lists. Fields cover thrust, orbital altitude, launch window, and warranty period, with corresponding units of kilonewtons, kilometers, hours, and years.
Constraints Imposed on Workflow Orchestration
The multi-source and phased update nature of aerospace equipment data requires workflows to support pulling data triggered by update time, to avoid reprocessing old data.
Complex document structures and large individual file sizes require workflows to have built-in chunked parsing and chapter association retention functions, to ensure logical coherence of due diligence reports.
Professional fields and fixed unit requirements mean parameter extraction components in workflows need unit validation rules, to prevent parameter conversion errors.
Additionally, the sensitivity of aerospace equipment data requires workflows to record file sources and update times for each step, to meet traceability requirements.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Single aerospace equipment documents can reach tens of megabytes, so parsing takes a long time. Reserve sufficient timeout to avoid task interruptions |
UPLOAD_FILE_ALLOWED_EXT | pdf,docx,xlsx,xml | Covers common storage formats for aerospace equipment project approval reports, test data, and qualification documents |
WORKFLOW_TRIGGER_MODE | Trigger by file update time | Adapts to the phased update rhythm of aerospace equipment data, avoiding repeated processing of already parsed historical files |
GLOBAL_VAR_PERSIST | Session-level persistence | Adapts to scenarios where global variables are modified multiple times during a conversation, retaining parameter status for the current session |
MODEL_TEMPERATURE | 0.1–0.3 | Due diligence reports require rigorous presentation, reducing randomness in generated content |
FILE_LINK_PASS_MODE | Pass file ID directly | Resolves issues where external links cannot be accessed across nodes, adapting to the permission verification requirements of aerospace equipment files |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- After uploading an aerospace equipment document, the workflow node reports an error showing "input parameter is empty". The cause is that
FILE_LINK_PASS_MODEis set to pass external links, and internal aerospace equipment files do not have external link permissions enabled, so the node cannot obtain valid file information. - After modifying global variables in the same conversation, subsequent workflow nodes still read the initial values. The cause is that session-level isolation for
GLOBAL_VAR_PERSISTis not enabled. The global variable scope covers the entire application, rather than being limited to a single conversation. - When selecting a model referenced by a variable in the AI chat component, the temperature setting entry cannot be found. The cause is that the temperature parameter is not separately bound in the workflow's model configuration node. When directly referencing a variable, the global configuration is inherited by default, and the custom adjustment entry is not exposed.
How to Verify Correct Configuration
- Upload an aerospace equipment test report file, trigger the workflow, and check the parsing results to confirm that the extracted professional parameters and units match the original document.
- Initiate two consecutive conversations. Set the global variable to a specified value for the first time, then modify it, and check the parameter reading results of subsequent nodes to confirm that the variable value is updated correctly.
- View the workflow run logs to confirm that each node's input parameters include complete file information, with no null values or timeout errors.
- Open the model configuration panel in the AI chat component, confirm that the temperature parameter can be customized and adjusted. Save the settings, initiate a new conversation, and verify that the parameter takes effect.
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.