Data Characteristics
GMP-compliant clinical trial pre-screening data originates from drug regulatory agencies, clinical trial institutions, CRO companies, and internal quality management systems. Data updates are infrequent, typically in batches or at project milestones, such as monthly or quarterly. The primary document structure is structured tables like CSV, Excel, or database exports. However, it also includes substantial unstructured text, such as SOP documents, batch production records, inspection reports, and audit logs. Key fields include batch number, production date, expiration date, inspection results, equipment calibration records, personnel training records, and deviation handling reports. Units are precise, down to micrograms, nanograms, or specific activity units, and must strictly adhere to pharmacopoeia standards.
Constraints on HTTP Interfaces and External Systems
The low update frequency of GMP-compliant data means external system synchronization does not require high-concurrency real-time requests. However, each synchronization may involve large data volumes. The coexistence of structured and unstructured data requires HTTP interfaces to handle multiple data formats, supporting JSON, XML, and file uploads. The strictness of fields and units mandates rigorous format validation during data transmission and reception to prevent compliance issues from data type mismatches or incorrect units. For example, batch numbers are typically fixed-length alphanumeric combinations, and inspection results must match predefined numerical ranges and units. Furthermore, sensitive information like audit logs and deviation handling reports requires encrypted transmission and authentication mechanisms to ensure data security, demanding robust authentication and authorization for the interfaces.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
HTTP_REQUEST_TIMEOUT_SECONDS | 600 seconds | Accommodates response times for potentially large file uploads or complex data processing. |
MAX_FILE_SIZE_MB | 100 MB | Accounts for SOP documents and inspection reports that may contain images and charts, leading to larger file sizes. |
API_AUTH_TYPE | Bearer Token | Provides sufficient security and integrates with enterprise internal identity authentication systems. |
DATA_SCHEMA_VALIDATION_ENABLED | true | Ensures incoming data format and type comply with GMP regulations, preventing data contamination. |
RETRY_ATTEMPTS | 3 times | Handles transient network fluctuations or occasional external system service unavailability. |
CHUNK_SIZE_BYTES | 1048576 bytes | Optimizes large file chunked upload performance, reducing the load of single requests. |
Common Pitfalls
- HTTP plugin calls to external APIs report 502 errors. This usually occurs because the FastGPT container cannot resolve the external API's domain name or IP address, or proxy configuration is incorrect.
- After data synchronization, some critical fields are empty or malformed. This happens when the external system's returned data structure does not match FastGPT's expectations, and strict JSON Schema validation is not performed.
- The model processes specific batch numbers or inspection results with garbled characters. This often results from a mismatch between the external system's API encoding (e.g., GBK) and FastGPT's default encoding (UTF-8), causing character set conversion failures.
Verification Steps
- Test the connection through FastGPT's HTTP plugin configuration page and ensure a 200 status code is returned.
- Perform a complete API call using actual GMP-related data (e.g., JSON data containing batch number, production date, and inspection results). Check the completeness of fields and accuracy of data in the returned results.
- Review FastGPT's internal logs to confirm no connection timeouts, authentication failures, or data parsing exceptions.
- Verify that data synchronized from the external system is correctly indexed and retrievable within the FastGPT knowledge base, especially when querying fields with special characters and units.
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 2026-09-21.