What the Data for This Category Looks Like
Coking coal-related data primarily comes from mine production ledgers, port quality inspection reports, and listing information on commodity trading platforms. There are two update schedules: spot trading data is updated daily, and futures delivery standard data is updated each trading day. Each batch of coking coal corresponds to a structured document containing fields such as batch number, origin identifier, dry ash-free basis calorific value, total moisture content, particle size range, and delivery grade. The unit for calorific value is kilocalories per kilogram, the unit for total moisture content is kilograms per ton, and the unit for particle size range is millimeters.
Constraints Imposed on Workflow Orchestration by These Characteristics
These characteristics impose clear constraints during the workflow orchestration stage: First, differentiated trigger logic must be configured for multi-source data. Spot trading data must be bound to a real-time data synchronization node, while futures delivery standard data must be configured with a daily scheduled pull task to avoid data lag or repeated pulls. Second, for documents with multiple fields and specific units, preset field mapping rules must be set in the data parsing node to unify coking coal data from different sources into a standard field format, ensuring parameter consistency for subsequent generated content. Third, coking coal marketing content needs to match parameters across different dimensions. Content targeting production sides should highlight calorific value and particle size, while content targeting trading sides should highlight delivery grade and origin. Branch nodes must be configured to filter corresponding fields based on the target audience. Finally, the integrity of single-batch data must be verified in advance. Documents with missing key parameters must trigger an exception alert node to avoid generating invalid marketing content.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Coking coal quality inspection documents contain multiple sets of quality inspection parameters, which require a long time for complete parsing. 300 seconds covers conventional parsing processes |
maxContext | 8000–12000 characters | Coking coal marketing content needs to integrate multiple batches of data and industry trends. This range ensures logical coherence of the content |
recall count | Top 6 entries | Coking coal marketing content needs to cover core quality inspection parameters and recent trading data. 6 entries balances information density and reading experience |
similarity threshold | 0.75 | Filter low-relevance industry news, only retain content strongly related to core coking coal parameters |
UPLOAD_FILE_MAX_SIZE | 500 MB | A single batch of coking coal quality inspection reports and packaged historical trading data usually does not exceed this threshold, avoiding upload timeouts |
WORKFLOW_CONCURRENCY_LIMIT | 30 concurrent requests | Adapted to a single-node 4c16g configuration, controlling concurrent load to avoid resource exhaustion |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Calling the workflow API returns a
404 Not Foundor401 Unauthorizederror, and the workflow cannot be triggered normally. Cause: The workflow has not been published as a public API interface, or the API access key has not been configured correctly, resulting in permission verification failure. - Symptom: When processing coking coal image quality inspection reports in the workflow, valid parameters cannot be automatically extracted, and empty field results are returned. Cause: The target field mapping for the image parsing node has not been configured, and the core coking coal parameters to be extracted have not been specified, causing the AI to fail to locate valid information.
- Symptom: Service unresponsiveness or OOM errors occur when running the workflow on a single node, and exceptions are triggered after concurrency exceeds the set value. Cause: The
WORKFLOW_CONCURRENCY_LIMITparameter has not been adjusted based on the node's hardware configuration, and concurrent requests exceed the CPU and memory carrying capacity of the node.
How to Confirm Successful Configuration
- Trigger a workflow test, check the output logs of the data parsing node, and confirm that the core fields of coking coal have been correctly extracted and unified into the standard format.
- Call the workflow API, verify that the returned results include the preset coking coal marketing content fields, with no missing or abnormal parameters.
- Adjust the concurrency number to a reasonable range supported by the node hardware, run multiple rounds of concurrency tests, and confirm that the workflow has no resource exhaustion or timeout errors.
- Configure a knowledge base variable branch, switch between different target audiences, and verify that the workflow automatically filters the corresponding coking coal data fields normally.
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.