What data for this category looks like
Minor metals financial report-related data mainly comes from monthly statistics released by domestic minor metals industry associations, public financial reports of corresponding listed companies, import and export declaration data from the General Administration of Customs, and quotes from spot trading platforms. Update cycles fall into three categories: annual/quarterly financial reports are released according to legal disclosure cycles, industry monthly data is updated in the first ten days of the following month, and spot quotes are updated in real time daily. The document structure includes a general financial report module and minor metals-specific business fields. Business fields cover reporting period, verified production capacity, actual output, ending inventory, import and export volume, average spot price, unit smelting cost, etc. Units mostly use physical and valuation units such as ton, kilogram, yuan/ton.
What constraints do these characteristics impose on workflow orchestration
The multi-source nature, differentiated update cycles, and specialized business fields of minor metals financial report data impose three core constraints on workflow orchestration. First, multiple data source connection nodes must be configured, connecting to industry association APIs, financial report disclosure interfaces, customs data interfaces, and spot quote interfaces respectively, adapting to the call permissions and frequency limits of different interfaces. Second, custom field mapping rules must be defined to map standard fields parsed from general financial reports to minor metals-specific fields such as production capacity, inventory, and prices, preventing general parsing templates from failing to recognize business-specific fields. Third, the workflow trigger logic must be split according to data update cycles, separating high-frequency spot data pulling and low-frequency financial report and customs data synchronization into independent sub-processes, avoiding high-frequency tasks being blocked by low-frequency tasks.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Annual reports of minor metals listed companies include multiple pages of business details, with longer parsing time than general financial reports. Extending the timeout prevents interruptions |
Segment Length | 800–1200 characters | Most business fields in minor metals financial reports are short text passages. This segment length balances parsing accuracy and subsequent splicing efficiency |
Data Source Call Interval | 1–5 minutes | Adapts to the high-frequency update limits of spot quote interfaces, avoiding triggering call frequency bans |
Field Mapping Rules | Custom mapping | Minor metals financial reports include business-specific fields that cannot be automatically matched by general parsing templates. Manual configuration of field correspondence is required |
Node Error Retry Count | 3 times | Addresses occasional connection fluctuations in customs data interfaces, reducing the probability of workflow failure |
Output Node Visibility | Hide default output, only display spliced results | Aligns with the output requirements of minor metals financial report analysis, preventing intermediate processing content from interfering with the final report |
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 mistakes
- A
Cannot convert undefined or null to objecterror is thrown during workflow runtime. The cause is that the mapping rules for minor metals-specific fields are not configured, resulting in parsed business fields not being correctly mounted to workflow variables, triggering a null value conversion error. - Attempting to use AI conversation history as a custom variable fails to invoke the variable. The cause is that the workflow's global variable persistence configuration is not enabled, and the output of the history record node is not bound to the global variable pool, preventing variables from being reused across nodes.
- The workflow only displays the raw output of AI conversations, and cannot generate structured reports via splicing components. The cause is that the default output display of the AI conversation node is not turned off, and the AI output result is not connected to the text splicing node and bound to the specified output port.
How to confirm the configuration is correct
- Trigger a single test workflow, check whether the packets returned by each data source node include minor metals-specific business fields, and confirm that the field mapping configuration has correctly bound the corresponding fields.
- View the workflow runtime logs, confirm that the file parsing node did not trigger a timeout error, and that the node retry mechanism properly handled occasional interface fluctuations.
- Verify the display configuration of the output node, confirm that the default AI conversation output has been hidden, and only display structured content processed by the text splicing component.
- Test the cross-node variable transfer process, confirm that history data can be read by subsequent nodes and participate in text splicing.
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.