What the data for this category looks like
Data sources for chemical raw material financing daily reports include public financing ledgers from domestic basic chemical industry monitoring institutions, credit and loan release records exported from commercial banks' corporate business systems, and corporate financing public information from local market supervision departments. Data is updated daily. Full data for the previous day is fully collected by 17:30 on the same day. Most documents use structured table formats. Fields include company entity name, corresponding chemical raw material category, approved credit limit, financing release date, financing duration, funding cost label, guarantee type, and more. The limit field uses ten thousand yuan (CNY 10,000) as its unit. The duration field uses natural days as its unit. Date fields use standard ISO format.
Constraints imposed on model integration and configuration
Since data is fully updated daily as structured tables, and a single daily report file can contain thousands of rows, this triggers capacity and time limits for single-file parsing. Adjust relevant file parsing configurations. Multi-source data has inconsistent field naming. For example, "credit amount" and "approved limit" refer to the same content. Configure entity alignment recall rules to unify field mappings. Financing daily reports have high timeliness requirements. Model responses must match the data update rhythm. Adjust timeout parameters and batch processing concurrency. Some fields use non-standard text, such as guarantee methods. Configure classification prompts for the model to unify output formats. There are many segmented chemical raw material categories. Configure mapping rules between categories and financing cost benchmarks to avoid the model confusing cost reference values for different categories.
How to set the configurations
| Config Item | Suggested Value | Basis for This Value |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Single chemical raw material financing daily report files typically contain thousands of structured records. 500 MB covers storage and parsing needs for full-category single-day data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single-file parsing requires multi-field alignment and entity matching. Typical parsing time is approximately 420 seconds. 600 seconds covers processing time for exception scenarios |
Similarity Threshold | 0.78–0.82 | Filters ambiguous matches for field names across multi-source data. This range retains valid associations while excluding irrelevant content |
Chunk Length | 1000 characters | Single financing record text length is approximately 200 characters. 1000-character chunks cover context for 5 records, ensuring complete model parsing |
prompt_template | Please extract the approved credit limit, release date, and financing cost for the specified category from the chemical raw material financing daily report, and output a standardized field list | Explicitly limits the model's processing scope to avoid confusing financing data across different chemical categories |
RECALL_TOP_N | Top 6 entries | For segmented chemical raw material categories, recalling the top 6 entries covers the day's main credit and release records, avoiding interference from redundant information |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: After uploading an Excel or CSV file for chemical raw material financing daily reports, the interface displays parsing failure, and the log returns a
413 Request Entity Too Largeerror. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration was not adjusted. The default value is too small to accommodate single-day full data files with a large number of chemical raw material categories. - Phenomenon: After upgrading to version 4.9, configured third-party models cannot be called normally. The interface returns a
503 Service Unavailablestatus code. Cause: Version 4.9 updated the protocol adaptation logic for model integration. The third-party interface address configuration was not updated synchronously, or the associated synchronization switch was not enabled. - Phenomenon: After adding a model or entity mapping configuration, the service is restarted in the background, but the new configuration items are not visible on the front-end interface. Cause: The new configuration items were not written to the corresponding fields in the system configuration file, or the front-end cache was not cleared, resulting in unsynchronized configuration loading.
How to verify a successful configuration
- Upload a test file for a single category of chemical raw material financing daily reports. Check if the parsed returned fields include the preset core financing information, and verify that the field format meets the configured standardized requirements.
- View the system operation logs to confirm that no timeout errors are triggered during file parsing, and that the parsing time meets the business timeliness requirements.
- Test mixed multi-category test data to confirm that the configured similarity threshold and recall number filter out financing records from irrelevant categories, and only return content related to the target chemical raw material.
- Restart the service, then enter the model configuration management page to confirm that the new configuration items have loaded normally, with no abnormal prompts or missing items.
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.