What Data for This Category Looks Like
Data sources for coal chemical industry financing daily reports include the domestic coal industry association’s industry monitoring database, public credit disclosures from local financial institutions, and official disclosure platforms of coal chemical industrial parks. Data is updated daily at midnight, with full datasets for the prior natural day. Documents center on structured tables, paired with short explanatory text for daily financing abnormal movements. Core fields include project name, financing amount (unit: ten thousand RMB), financing term (unit: days), the coal chemical sub-sector to which the financing party belongs, approval status, and disclosure date. No additional statistical percentage data is included.
Constraints for Workflow Orchestration
Differences across multi-source data access require configuring unified field mapping rules to correct naming discrepancies between data sources. The fixed daily update schedule requires a scheduled trigger node set to a 24-hour cycle. Add data deduplication and verification steps to filter undisclosed or duplicate financing entries. The mixed structure of structured data and abnormal explanatory text requires splitting the workflow into data extraction and text processing nodes. These nodes separately complete structured field verification and abnormal text classification. The diversity of coal chemical sub-sectors requires configuring standardized sub-sector mapping rules. These rules unify sub-sector names from different sources into preset categories, preventing classification confusion in subsequent analysis.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
CRON_EXPRESSION | 0 2 0 * * * (2:00 AM daily) | Most industry data sources complete previous day’s data updates at 1:00 AM, reserving a 1-hour window for cache cleanup and data pulling |
Field Mapping Rules | Preset coal chemical financing standard mapping table | Field naming varies across data sources; non-standard fields such as "credit limit" and "financing amount" must be uniformly mapped to target fields |
Data Deduplication Matching Threshold | 100% | The unique identifier for financing daily reports is the combination of project name and disclosure date; full matching is required to avoid duplicate entries |
Knowledge Base Retrieval Tag Filter | Filter by coal chemical sub-sector tags | Retrieval results must be limited to financing data for the corresponding sub-sector to improve retrieval accuracy |
Tool Call Timeout | 600 seconds | Total time for multi-data-source pulling and field verification must be controlled within a reasonable range to avoid workflow interruption |
Code Execution Node Resource Quota | 512 MB | Basic data processing tasks do not require excessive resources, to prevent runtime failures due to insufficient resources |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Two thinking process logs appear in tool call nodes during workflow debugging. Cause: The automatic follow-up prompt configuration of the tool call node is not disabled, causing the system to first trigger tool calls and then generate follow-up prompts, resulting in duplicate thinking process output.
- Phenomenon: The locally deployed code execution component reports an error when executing simple code, with logs showing insufficient resources. Cause: The resource quota of the code execution node was not adjusted during local deployment, and the default quota is insufficient to support basic data processing tasks.
- Phenomenon: Knowledge base retrieval results are not filtered by preset sub-sectors. Cause: Coal chemical sub-sector tags were not added to financing entries during knowledge base import, or the corresponding filtering rules were not bound to the retrieval node.
How to Confirm Successful Configuration
- Trigger the workflow manually once, review the execution logs of the scheduled trigger node, and confirm that the trigger time matches the preset
CRON_EXPRESSION. - Import a test financing data entry, review the output of the field mapping step, and confirm that all non-standard fields have been correctly mapped to target fields.
- After configuring the knowledge base tag filtering rules, retrieve financing data from non-coal chemical sub-sectors, confirm that the retrieval results meet expectations, and verify that the filtering logic is effective.
- Run the code execution node to execute the preset simple data processing script, review logs for errors related to insufficient resources, and confirm that the resource quota configuration is reasonable.
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.