What This Category’s Data Entails
Coal chemical due diligence report data comes from three main sources: domestic coal chemical industry monitoring platforms, publicly disclosed information from provincial energy authorities, and quarterly and annual public enterprise reports. Data update frequencies vary:
- Core production capacity data is updated quarterly
- Raw material and product prices are updated weekly
- Operation and production data are updated monthly
A single report includes these sections: basic enterprise information, production capacity ledger, monthly production data, raw material supply chain data, product sales data. Fields include enterprise name, commissioning date, designed production capacity, actual output, raw coal factory gate price, product ex-factory price. Corresponding units are none, year, ton/year, ton, yuan/ton, yuan/ton.
Constraints on HTTP Interfaces and External Systems
The multi-frequency update pattern of coal chemical due diligence data requires HTTP interfaces to support pull cycles configured per data category. This prevents resource waste from frequent pulls of low-update-frequency capacity data. Differences in specialized fields and units require interfaces to support custom field mapping rules. These rules convert external data source field names to the platform’s unified due diligence field format, and verify unit consistency. The mixed structured and unstructured document structure requires interfaces to support uploading both structured tables and PDF-format enterprise explanatory files. Interfaces must also adapt parsing logic for different formats. Additionally, compliance requirements for energy industry data require interfaces to carry fixed identity verification parameters. Interfaces must also support configuring data output desensitization rules.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Coal chemical due diligence reports often include multiple structured tables and long-text enterprise explanatory documents; 300 seconds covers complete parsing duration |
UPLOAD_FILE_ALLOWED_EXTENSIONS | csv,json,xlsx,pdf | Common formats for coal chemical data sources include Excel ledgers, CSV statistical reports, PDF public reports, and JSON-format API response data |
HTTP_REQUEST_TIMEOUT | 60 seconds | Response delays for external energy data interfaces typically fall within the 30-50 second range; 10 seconds of buffer is reserved to avoid request interruptions |
FILE_UPLOAD_MAX_SIZE | 500 MB | Attachment packages for single coal chemical due diligence reports (including multiple ledgers and supporting explanatory documents) typically do not exceed 500 MB |
RECALL_TOP_K | 8-12 | Coal chemical due diligence data has many core associated fields; 8-12 entries cover most associated analysis requirements |
DATA_SYNC_CRON | 0 0 2 * * * | Synchronize on a fixed daily 2 AM cycle, adapting to the daily/weekly update rhythm of coal chemical data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, 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 Configuration Errors
- Symptom: An external data interface call returns
401 Unauthorized, and logs showempty auth token. Cause: The interface configuration does not correctly bind the token request header parameter, or the token field does not match the third-party platform’s authentication requirements. - Symptom: The system prompts "unsupported file format" when uploading a coal chemical Excel ledger file. Cause:
xlsxis not included in theUPLOAD_FILE_ALLOWED_EXTENSIONSconfiguration item, so the file is blocked. - Symptom: Parsing a large coal chemical due diligence report returns
504 Gateway Timeout. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration value is shorter than the actual required parsing duration, so the parsing process is forcibly terminated.
How to Verify Successful Configuration
- Perform a single file upload test, upload a standard coal chemical Excel ledger, and check if the system correctly parses and extracts preset fields.
- Call the external data interface with test token parameters, and check if the returned response status code matches expectations.
- Review the
DATA_SYNC_CRONexpression in the interface configuration, and confirm it aligns with the actual update cycle of coal chemical data. - Export a test due diligence report data set, and check if the returned fields match the configured custom mapping rules.
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.