What the data for this category looks like
Mining and mineral processing data primarily comes from mining PLC collection systems, mineral processing workshop process report systems, employee attendance and scheduling platforms, and safety inspection electronic record systems. Production data updates every 15 minutes. Attendance data is archived and updated daily at midnight. Inspection records are summarized and archived per shift. Document structures primarily use structured fields including operation time, area number, equipment number, operation volume, employee ID, and more, with units of tons, hours, and person-times. Some scenarios include unstructured inspection photos or video files.
Constraints imposed by these characteristics on HTTP interfaces and external systems
The multi-source heterogeneous data characteristics of mining and mineral processing require HTTP interfaces to support access to multiple data formats, including structured CSV, time-series log files, and unstructured media files. The high-frequency update requirement for real-time production data requires flexible configuration of interface call frequencies, with single-request timeout settings adapted to long-link transmission scenarios. The privacy attributes of employee data require strictly compliant interface authentication logic. The large volume of batch inspection documents requires interfaces to support batch submission or large file uploads to avoid overload from single requests. Differences in custom fields across mining areas require interfaces to support custom field mapping to adapt to structural differences across data sources. FastGPT v4.17.0 and later versions support flexible adjustment of the above configuration items.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {enterprise-specific API key} | Complies with interface authentication standards and adapts to the permission control rules of mining and mineral processing systems |
| Single request timeout | 60–120 seconds | Adapts to long-link transmission scenarios for mining and mineral processing data, avoiding request interruptions caused by network fluctuations |
variables | Bind custom field mappings according to data source type, such as mapping question to the first column of CSV and answer to the second column of CSV | Solves the problem of inconsistent field naming across data sources in different mining areas, ensuring correct association of question-answer pairs |
| Maximum batch upload file size | 500–1000 MB | Adapts to the large volume of single-batch inspection reports or production ledgers, avoiding single upload failures |
responseData | Only return status codes and brief error messages | Streamlines interface response content for internal office scenarios, improving transmission efficiency |
| Interface call frequency limit | 1 call per 15 minutes for production data, 1 call per day for attendance data | Matches the update rhythm of corresponding data sources, reducing invalid requests occupying system resources |
Three common misconfigurations
- Phenomenon: When uploading CSV files via HTTP interfaces, question-answer pair matching does not meet expectations, and some questions and answers are not correctly associated. Cause: The field mapping rules for the
variablesparameter are not configured according to interface requirements, and the first column of CSV is not mapped to the question field and the second column to the answer field, resulting in failure to correctly associate question-answer pairs. - Phenomenon: For file collections created via knowledge base interfaces, indexing takes longer than expected, and a large amount of data is not vectorized in a timely manner. Cause: The interface call frequency is not configured according to the data source update rhythm, and frequently and repeatedly uploading unchanged data causes system resources to be occupied by invalid requests.
- Phenomenon: Calling the workflow interface of a nested knowledge base assistant returns an empty result or a 400 status code. Cause: The
Authorizationparameter is not configured correctly, or the request header does not carry a valid API key, resulting in failed authentication and no clear error prompt returned by the interface.
How to confirm proper configuration
- Call the interface to upload a test CSV file in the preset format, check the status code returned by the interface, and confirm that a successful status code is returned.
- Enter the knowledge base management interface, check the question-answer splitting results of the newly uploaded file collection, and confirm that the association between questions and answers meets expectations.
- After configuring the interface call frequency, observe the request logs in the system background, and confirm that the number of interface calls matches the update rhythm of the data source.
- Call the workflow interface of the nested knowledge base assistant to initiate a test request, check the returned response content, and confirm that the expected retrieval results are included.
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.