What the data for this category looks like
Coke research report data mainly comes from the China Coking Industry Association, Dalian Commodity Exchange, commodity information institutions, and securities firm commodity research teams. Monthly operation reports from industry associations are released on a fixed monthly basis. Exchange warehouse receipt weekly reports are updated weekly. Securities firm research reports are released in real time alongside industry emergencies, with no fixed cycle but multiple reports can be produced per day in high-frequency scenarios. Document structures include market summaries, supply and demand data, price trends, and policy analysis, with embedded structured tables and charts. Core fields include ex-factory tax-included price (unit: yuan/ton), port inventory (unit: 10,000 tons), coking coal procurement cost (unit: yuan/ton), and average daily steel plant consumption (unit: 10,000 tons/day).
What constraints these characteristics impose on workflow orchestration
The multi-source nature and differentiated update cycles of coke research reports require configuring both scheduled trigger and event trigger nodes in the workflow, to adapt to fixed-cycle industry reports and real-time emergency research reports respectively. Embedded structured data and charts in documents require adding OCR parsing and structured extraction nodes to the workflow, to avoid missing key numerical information. The strong binding between industry data and the steel industry chain requires adding cross-data source association nodes to link with steel-related research reports for cross-verification, improving the completeness of responses. Additionally, the dense professional terminology text structure requires adjusting segmentation and recall rules to avoid semantic breaks or irrelevant content being included.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Coke research reports often contain multi-page structured tables and embedded charts, so parsing time is significantly longer than that of general documents |
Segment Length | 800–1200 characters | The coke industry has dense terminology and many long sentences. This range balances semantic integrity and recall accuracy |
Number of Recalled Entries | Top 8–12 entries | Coke research reports have high data density. Too many recalled entries will exceed the context window limit, while too few will miss core supply and demand data |
Similarity Threshold | 0.72–0.80 | The coke industry has highly specialized terminology, so a high matching accuracy is required to avoid accidental recall of irrelevant industry research reports |
Number of Reranked Returned Entries | Top 4–6 entries | Focus on the most relevant core research report content, controlling the information density of single-round responses |
Scheduled Task Trigger Interval | Once per day, Once per week | Match the update cycles of real-time market data updated daily and industry association monthly reports synchronized weekly |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: The workflow stalls after executing a tool call node, with no error logs but no return results. Cause: The connection parameters for the commodity data source are not configured correctly, or the
TOOL_DB_CONNECT_TIMEOUTvalue is too short to adapt to the normal response delay of coke industry APIs. - Phenomenon: The published share link points to a local debugging address and cannot be accessed via the public network. Cause: The default local domain name configuration was not replaced during deployment, and the local running address was mistakenly used as the release link.
- Phenomenon: The recalled research report results do not include the online preview entry of the original file. Cause: The "Retain original file association" configuration of the knowledge base is not enabled, or no original file link extraction node is added in the workflow, so the sliced content cannot be bound to the source document.
How to confirm the configuration is complete
- Execute a single manual trigger workflow, check whether the tool call node normally returns coke market and research report data, and adjust the similarity threshold and number of recalled entries based on the returned results.
- View the deployment configuration page, confirm that the public network domain name is correctly configured, and verify that the published share link can be accessed normally.
- Enter the knowledge base management page, confirm that the "Retain original file association" option is enabled, randomly select a recalled result, and check whether it includes the original file preview link.
- View the scheduled task log, confirm that the daily and weekly data source crawling nodes are triggered as expected, with no timeout or failure records.
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.