What the data for this category looks like
Textile manufacturing financing daily report data comes from partner bank corporate credit systems, supply chain financial service platforms, and industry credit databases. The system updates full previous-day data daily at midnight. Each entry includes fields such as enterprise unified social credit code, registration address, textile sub-category (such as cotton spinning, chemical fiber weaving), daily new financing quota, financing method, disbursement date, repayment period, and guarantee method. Quota fields use ten thousand yuan as the unit. Date fields follow the YYYY-MM-DD format. Count fields are positive integers.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
The fixed daily update rhythm requires configuring scheduled trigger tasks for HTTP pull interfaces. Set trigger times after the day’s data update completes to avoid pulling incomplete half-finished data. Fields including unified social credit code and textile sub-category support precise matching. The interface must support filtering by exact values of specified fields. Quota fields use ten thousand yuan as the unit. External system docking must unify unit conversion rules to avoid confusion with data calibers of other industries. Daily full data has a large number of entries. Interface paging parameters must support paging by entry count. Control the number of entries returned per request within a reasonable range to avoid request overload.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
external_data_sync_cron | 0 2 1 * * * | Textile manufacturing financing daily reports finish updating daily at midnight. This cron expression ensures complete previous-day data is pulled |
api_request_timeout | 600 seconds | Full data pulls process a large number of entries. 600 seconds covers most normal request durations and avoids mid-request timeouts |
filter_fields | unified social credit code,textile sub-category | Precise matching of target textile manufacturing enterprise financing data is required to avoid mixing in data from other industries |
response_page_size | 50 entries per request | Too many entries per request causes interface timeouts. 50 entries balances request efficiency and data completeness |
unit_conversion_rule | ten thousand yuan to yuan | Financing daily report quota fields use ten thousand yuan as the unit. Convert to the system’s default yuan unit to unify data calibers |
api_loop_enable | Enabled | Full data pull requires pagination. Cyclic requests cover all entries and avoid omissions |
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 the configuration.
Three Common Mistakes
- Phenomenon: When calling the
/api/core/dataset/collection/create/localFileinterface, metadata filtering does not take effect. Returned data includes financing daily reports from non-textile manufacturing categories. Cause: Theunified social credit codeortextile sub-categorywas not configured as an exact filtering field, and only fuzzy matching parameters were used. - Phenomenon: The API orchestration task only pulls partial daily financing report data for the current day, and does not cover all entries. Cause: The
api_loop_enableconfiguration was not enabled, and the pagination cyclic pull logic was not implemented. - Phenomenon: Proxy calls fail when configuring the m3e vector model. Cause: The proxy parameters of the vector model were not correctly configured, and authentication rules that do not match the target proxy were used.
How to Confirm the Configuration Is Correct
- Manually trigger the data pull task. Check whether the returned data fields include the preset business fields to confirm the filtering rules have taken effect.
- Check the execution logs of the pull task. Confirm that the request timeout duration matches the preset configuration, and no timeout interruption records appear.
- Verify the quota field values pulled. Confirm that unit conversion has been completed, and the data caliber is consistent with the external data source.
- View the execution records of the API orchestration task. Confirm that the cyclic pull logic has been triggered according to the configuration, and covers all data entries.
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.