What the Data for This Category Looks Like
Domestic medical investment and financing databases, corporate IPO announcements, and biologic product filing public information from drug regulatory authorities are the core data sources. Data update cadence is daily T+1 updates, with disclosure dates corresponding to financing events from the previous trading day. Each data entry includes fields such as the financing party's unified social credit code, core pipeline name, financing round, financing amount (including currency and unit), investor list, disclosure date, corporate registration address, etc. Financing amount uses RMB ten thousand yuan as the standard unit. The pipeline type field is limited to biologic product subcategories such as monoclonal antibodies, vaccines, gene therapy products, etc.
What Constraints These Characteristics Impose on Workflow Orchestration
Since core fields include pipeline types exclusive to biologic products, dedicated field extraction rules must be configured for the workflow to avoid including non-biologic financing events. Since data updates daily on a T+1 basis, the scheduled trigger node must be set to run daily in the early morning to avoid repeatedly pulling data that has not been updated on the same day. Since the financing amount field includes currency and unit, a unit verification node must be configured to ensure data standardization. Since some financing events include pipeline images, the multimodal recognition node must be enabled to extract pipeline information from the images.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
schedule_cron | 0 0 1 * * ? | Matches the T+1 update cadence of biologic financing data, runs at 1 AM daily to avoid duplicate pulls |
field_extraction_schema | {"fields": ["Financing Party Name", "Pipeline Type", "Financing Amount", "Financing Round", "Disclosure Date"], "unit": "ten thousand yuan"} | Focuses on core fields for biologic financing, unifies amount units to ten thousand yuan to improve data standardization |
mongodb_replica_set_reconnect | enabled: true, retry_interval: 30 seconds | Resolves disconnection issues after MongoDB replica set primary node drift, automatically reconnects to resume workflow execution |
tool_call_output_visibility | false | Hides the detailed process of tool calls, only returns the final processed result |
image_recognition_enabled | true, model: Multimodal Basic Model | Supports recognition of pipeline images submitted by financing parties to extract key information |
boolean_switch_judge_mode | strict_equal | Accurately judges the switch status of Boolean-type global variables, avoids logic failure caused by type confusion |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Symptom: The workflow throws a
ConnectionClosedErrorerror and cannot automatically recover after the MongoDB replica set primary node switches. Cause: The automatic reconnection logic for themongodb_replica_set_reconnectparameter is not configured. - Symptom: When using a judgment node to handle Boolean global variables in the workflow, the switch logic does not trigger as expected. Cause: The
strict_equaljudgment mode is not used, and the string type"true"is mistakenly confused with the Boolean typetrue. - Symptom: After configuring the tool call end node, the detailed results of tool calls are still displayed in the conversation output. Cause: The
tool_call_output_visibilityparameter is not set to hidden mode. The tool call end node only terminates the process without controlling output visibility.
How to Confirm the Configuration Is Complete
- Manually trigger the workflow once, check whether the pulled financing data includes the preset core fields, and whether the field format conforms to the conventional structure of biologic financing data.
- Simulate the scenario of a MongoDB replica set primary node switch, and check whether the workflow automatically reconnects and resumes execution.
- Upload an image of a biologic product pipeline, trigger the multimodal recognition node, and confirm that the returned content includes key information from the image.
- Run a workflow that includes tool calls once, check whether the conversation interface only displays the final result and does not show the detailed process of tool calls.
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.