What the Data for This Category Looks Like
Marketing data for chemical fiber products comes primarily from upstream petrochemical raw material quotes, downstream weaving orders, spot inventory, and product performance test reports. Data sources include public industry association interfaces, ERP systems of upstream production enterprises, and third-party bulk commodity trading platforms. Update frequencies vary significantly: spot quote data updates hourly, order data syncs in real time, and production capacity and inventory data update daily. Most documents use structured JSON or CSV formats. Core fields include product name, fineness (unit: dtex), breaking strength (unit: cN/dtex), tax-included unit price (unit: yuan/ton), inventory quantity (unit: ton), and raw material type. Some non-standard products include custom test parameter fields.
Constraints Imposed on HTTP Interfaces and External Systems
The multi-source and varied update frequency characteristics of the chemical fiber category require external systems to adapt to different data pull frequencies. The multi-field structure of structured data requires HTTP interfaces to support field whitelist configuration, to avoid transmitting redundant data. Different unit systems (such as dtex and yuan/ton) require interfaces to either unify unit parsing or require callers to include unit parameters, to prevent data misuse. Mixed docking of real-time order data and low-frequency production capacity data requires support for parallel multi-interface calls and priority scheduling, ensuring marketing content can promptly access the latest spot and quote information. Additionally, chemical fiber products have a large number of SKUs, so interface pagination parameters must support flexible adjustment to avoid timeouts caused by overly large single return data volumes.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | First 10 dialogues | Chemical fiber marketing conversations need to retain recent product parameters and customer inquiry history to avoid context loss |
HTTP_REQUEST_TIMEOUT | 30 seconds | Upstream chemical fiber data interfaces may have network delays; 30 seconds covers most normal response durations |
RECALL_TOP_K | First 15 entries | The chemical fiber category has a large number of SKUs, so more relevant product data needs to be recalled to cover potential customer needs |
PARSE_FIELD_WHITELIST | ["product_name", "fineness", "strength", "price", "stock"] | Only retain core fields required for marketing to reduce interface transmission volume and parsing overhead |
API_AUTH_TYPE | API_KEY | Adapts to the industry-standard external system docking authentication method, simplifying cross-system authorization processes |
HTTP_RETRY_TIMES | 3 times | Addresses temporary fluctuations in upstream data interfaces, reducing the probability of single request failure |
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 settings.
Three Common Configuration Mistakes
- Phenomenon: The number of contexts passed when calling the interface does not match the
maxContextset in the workflow, and logs show extra historical conversations are carried. Cause: ThemaxContextconfiguration is not synchronized with the context window parameter of the external interface, leading to conflicting dual parameters. - Phenomenon: Port 3000 is inaccessible after deployment, and container logs only show startup information with no errors. Cause: The firewall port 3000 is not opened, or the IP of the FastGPT deployment node is not added to the external system's access whitelist.
- Phenomenon: Chemical fiber data fields returned by the interface are empty, such as the
pricefield having no value. Cause: The corresponding field is not configured inPARSE_FIELD_WHITELIST, causing the interface to filter non-whitelist fields.
How to Verify Proper Configuration
- Call the test interface, pass preset chemical fiber marketing conversation history, and check that the number of returned contexts matches the
maxContextconfiguration. - Pull sample data from the external chemical fiber data interface, verify that the returned fields exactly match those configured in
PARSE_FIELD_WHITELIST. - Simulate an access request from an external system, check that port 3000 connectivity and the API_KEY authentication verification logic work normally.
- Trigger a simulated interface timeout scenario, check that retries are performed according to the
HTTP_RETRY_TIMESconfiguration, and valid data is returned finally.
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.