What the data for this category looks like
Business data for the basic chemical industry mainly comes from production control systems, material management systems, equipment inspection terminals, and batch quality inspection reports. It covers full-process internal office data from production, warehousing to quality inspection. Data update rhythms include three categories: real-time collection, daily sync, and batch update. Real-time process parameters such as reactor temperature and pipeline pressure update every 15 minutes. Material ledgers such as raw material inventory and finished product output sync daily. Batch quality inspection reports update immediately after a production batch is completed. Document structures mainly use structured fields, including material code, batch number, process parameter value, detection time, equipment number, etc. Units include degrees Celsius, megapascals, kilograms, cubic meters, etc. Some unstructured data such as inspection photos and quality inspection report attachments are stored as binary streams.
Constraints imposed on HTTP Interfaces and External Systems by these characteristics
Reference only; verify against the target FastGPT release and deployment documentation.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Interface authentication configuration | Set Authorization parameter to Bearer ${appKey} | Complies with header authentication specifications of external systems, prevents account secret leakage |
| Request variable configuration | Define variables as {"materialCode": "example value", "batchNo": "example value"} | Matches core business fields of basic chemical industry materials and batches |
| Response data parsing | Configure responseData as $.data.list | Adapts to nested return structures of most chemical data sources |
| Interface timeout setting | 30–60 seconds | Adapts to collection intervals of real-time process data, avoids frequent timeouts |
| Request body format | multipart/form-data | Supports uploading unstructured attachments such as inspection photos and quality inspection reports |
| Trigger rule configuration | Set sync frequency according to business scenarios | Adapts to different data update rhythms of real-time, daily, and batch-level scenarios |
Three common configuration errors
- An error
Key is error. You need to use the app key rather than the account keyis returned when calling an interface. The cause is that an account login secret was filled in the authentication configuration instead of the application-specific app key. - A connection failure occurs when connecting to an external interface with header authentication. The cause is that custom header parameters were not correctly added in the interface configuration, leading to failed authentication verification.
- A parameter mismatch error is returned when uploading files to the knowledge base. The cause is that request parameters were not configured according to the field structure of basic chemical industry material data, leading to missing core fields or incorrect formats.
How to confirm the configuration is correct
- Call the configured interface, check if the returned response data includes expected basic chemical industry business fields such as material code and batch number.
- Submit a request containing unstructured attachments, confirm that the interface can normally receive and process binary stream data.
- Trigger a scheduled sync task, verify whether the number of synced data matches the actual number of data in the data source.
- Check whether the format of the
Authorizationparameter complies with the Bearer token specification to avoid authentication failures.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.