What the Data for This Category Looks Like
Coal chemical financing daily report data is primarily sourced from public archived data of the national coal industry association, local development and reform commission project announcement portals, bank credit ledger interfaces, and public financial reports of coal chemical enterprises. Data is updated daily, with full financing dynamics from the previous day released the following day. Entries are organized per project, and include fields such as project name, affiliated coal chemical subcategory, financing entity, financing amount, financing method, implementation date, fund usage, and guarantee type. Financing amount is measured in ten thousand RMB. Implementation date is precise to the calendar day. Project capacity is marked in ten thousand tons per year.
Constraints Imposed by These Characteristics on Deployment and Upgrade
Multi-source data access requires configuring multiple interface authentication parameters during deployment. Different interfaces have large response time differences, so timeout thresholds must be adjusted for adaptation. The daily update rhythm requires scheduled tasks to support daily fixed-point triggering. During upgrades, both incremental pull and full refresh modes must be compatible to avoid duplicate data pulls or missed data. Fields have specific units and format requirements, so data validation rules must be preset during deployment. During upgrades, validation logic must be updated synchronously to accommodate new fields. There are many coal chemical subcategories, so classification tag mapping rules must be configured to ensure accurate data classification. Some data comes from internal network interfaces, so internal network access whitelists must be configured during deployment. During upgrades, whitelist configurations must be updated synchronously.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Coal chemical financing daily reports have many data entries per file, leading to long parsing times. The default 120 seconds often causes timeouts |
SYNC_DATA_INTERVAL | 86400 seconds | Matches the daily data update rhythm, ensuring pull frequency aligns with the daily report release cycle |
RECALL_TOP_K | Top 10 entries | Financing data entries are concentrated per batch; excessive recall increases vector computing load |
UPLOAD_FILE_MAX_SIZE | 500 MB | Archived files for individual coal chemical financing daily reports typically do not exceed this size, adapting to local storage limits |
INTRANET_ACCESS_WHITELIST | Internal network IP range + credit interface domain name | Some financing data comes from internal network interfaces, so access scope must be restricted to ensure data security |
DATA_VALIDATION_RULES | Calibrated based on actual testing | Must accommodate validation logic for coal chemical-specific fields such as financing amount and capacity units |
The parameter values provided on this page are all 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 deployment-specific samples before finalizing values.
Three Common Mistakes
- Phenomenon:
404 - Resource Not Founderror is returned when calling financing data interfaces. Cause: The access whitelist for internal network interfaces is not configured, or the whitelist configuration does not include the domain name of the credit interface. - Phenomenon:
archive/tar: unknown file moderror occurs during Docker build. Cause: Old cached dependency files were not cleaned during deployment, or the uploaded configuration files contain directories with non-standard permissions. - Phenomenon: Some fields are empty or units do not match after scheduled financing data pull. Cause: The
DATA_VALIDATION_RULESconfiguration was not updated synchronously, and abnormal data that does not conform to coal chemical-specific formats was not filtered.
How to Confirm Proper Configuration
- Manually trigger a data pull, and check whether returned financing data fields include preset content such as coal chemical-specific classification and financing amount units.
- View scheduled task logs to confirm that daily fixed-point pull tasks execute normally, with no timeout or connection failure records.
- Check internal network access configurations, and attempt to call credit interfaces from the internal network environment to confirm normal data retrieval.
- Run the data validation script to verify that all preset fields meet required formats and units.
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.