HTTP Interfaces and External Systems for Textile

What the data for this category looks like

Yield rate related data for textile manufacturing comes primarily from two sources: public raw material market APIs from the national cotton trading market, and production ledger data from internal enterprise MES systems. Public raw material market data updates daily at 16:00. Qualified production output and raw material input data from the production side sync every 8 hours. Final daily report data is generated at 2:00 AM each day. The document structure uses a standard JSON array. Each element includes production batch ID, raw material type, raw material input weight, qualified finished product weight, production date, and market price index for the corresponding raw material. Unit standards are as follows: weight uses kilograms, price index is a dimensionless value, and time uses ISO 8601 format.

Constraints for HTTP Interfaces and External Systems

Data sources include public third-party APIs and internal enterprise intranet systems. Two authentication methods must be configured at the same time, which increases integration complexity. Update times differ across data sources. Public data updates later than internal production data. Interface pull tasks must reserve sufficient time buffers to avoid using outdated, unupdated data. Daily report data uses a bulk multi-entry format. Single returned data volume is large, so pagination parameters must be configured to limit return scale. Fields include multi-dimensional business identifiers. Interfaces must support multi-condition filtering, otherwise target accounting data cannot be pulled accurately. Raw calculation fields related to yield rate must be fully retained, and no pre-aggregation is allowed, to enable downstream systems to perform custom accounting.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`API_REQUEST_TIMEOUT`	`120 seconds`	Adapts to pull latency across public APIs and intranet systems, prevents request interruptions caused by network fluctuations or interface rate limiting
`DATA_PULL_SCHEDULE`	`0 3 * * *`	Matches the daily report generation time of 2:00 AM, reserves a 1-hour buffer for data source updates
`BATCH_FILTER_ENABLE`	`true`	Enables production batch filtering parameters, meets the business requirement of yield rate accounting by batch for textile manufacturing
`MAX_RESPONSE_ITEMS`	`Top 1000 entries`	Limits the maximum number of entries returned per interface call, avoids overload for external systems
`AUTH_CONFIG`	`Hybrid authentication`	Configures API key authentication for public market APIs, and OAuth2 authentication for internal production APIs
`FIELD_WHITELIST`	`["batch_id", "raw_material_type", "input_weight", "qualified_output_weight", "production_date"]`	Only retains core accounting fields, reduces unnecessary data transmission overhead

The parameter values provided on this page are common recommended starting points 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 Mistakes

Issue: After modifying port mappings in docker-compose.yml, the container still listens on the default 3000 port. Cause: Environment variables were not correctly configured to override default port parameters, or external and internal port values in port mappings were not aligned.
Issue: Multiple CHAT_API_KEY entries are configured, but model combinations cannot be switched. Cause: Environment variables were not configured in array format. Only a single key string was passed, so the system cannot recognize multi-key configurations.
Issue: Tool calls return 400 InternalError.Algo.InvalidParameter. Cause: Required batch_id or production_date fields were not passed, or date formats do not comply with ISO 8601 specifications.

How to Verify Successful Configuration

Invoke the configured HTTP interface with a test batch_id and a valid production_date, confirm returned results include all fields in the configured field whitelist.
View container runtime logs, confirm port mappings have taken effect, and internal container ports match externally exposed ports.
Trigger a scheduled pull task, wait for one full update cycle, confirm external systems receive the latest production and market-related data.
Submit a malformed production_date, confirm the interface returns a corresponding parameter error prompt, and verify authentication and parameter validation logic functions correctly.

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.