HTTP Interface and External Systems for IVD Diagnostic

Data Characteristics

IVD diagnostic reagent quality documents include registration certificates, instructions for use, batch inspection reports, stability study reports, and raw material inspection reports. These documents are typically stored in PDF, Word, or Excel formats, with some scanned images. Data originates from various departments, including R&D, production, quality control, and regulatory affairs. The update frequency depends on product lifecycles and regulatory requirements. For example, batch inspection reports are generated in real-time with production batches, while instructions for use and registration certificates may be revised due to regulatory updates or product changes. Document structures are rigorous, containing both structured data (e.g., batch number, expiry date, test results, acceptance criteria) and unstructured descriptions (e.g., methodology principles, precautions). Fields and units are highly specialized, often involving biological indicators, chemical concentrations, and optical density, with units such as IU/mL, ng/dL, and OD value.

Constraints Imposed by These Characteristics on "HTTP Interface and External Systems"

The diversity of IVD diagnostic reagent quality document data requires HTTP interfaces to support multi-format file uploads and downloads, particularly OCR capabilities for image-format documents. Real-time requirements necessitate interface designs that accommodate rapid input and parsing of batch inspection reports under high concurrency. The rigorous document structure and specialized fields mean that data extraction requires precise matching of specific patterns and units, for example, identifying the batch number field and its corresponding YYYYMMDD format value from text. Analyzing unstructured descriptions relies on more complex natural language processing capabilities. Regulatory compliance requires logging all data operations to ensure traceability. For integration with external systems like LIMS (Laboratory Information Management System) or ERP (Enterprise Resource Planning system), clear data exchange protocols and authentication mechanisms are necessary to guarantee data integrity and security.

Configuration Guidelines

Configuration Item	Suggested Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`100 MB`	Accommodates PDF documents with numerous images or scanned pages, ensuring complete uploads.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Allows sufficient parsing time for complex structures or large files, preventing timeout failures.
`maxContext`	`3000 Tokens`	Ensures the system can process longer paragraphs in one go, capturing complete technical terms and context.
`similarity_threshold`	`0.75`	Improves the precision of retrieval results and reduces interference from irrelevant information, especially for regulatory clauses.
`extract_fields`	`batch number`, `production date`, `expiration date`, `test item`, `test result`	For core documents like batch inspection reports, ensures complete extraction of key structured data.
`auth_method`	`OAuth2`	Secures API calls and controls permissions when integrating with external systems like LIMS/ERP.

Common Misconfigurations

Symptom: Uploaded batch inspection report images fail to correctly parse key fields, or extracted values have incorrect units. Cause: The OCR engine has insufficient recognition capabilities for specific fonts, table structures, or specialized unit symbols, or a dictionary tailored for IVD industry terminology is not configured.
Symptom: HTTP requests remain unresponsive for an extended period and eventually return a 504 Gateway Timeout error. Cause: The backend processing time for complex queries or large file parsing by the external system's interface exceeds the default timeout settings of the gateway or proxy server.
Symptom: The FastGPT platform receives a 401 Unauthorized error when calling an external LIMS system interface. Cause: The authentication token for the HTTP interface has expired, or the credentials in the Authorization request header do not conform to the LIMS system's requirements.

Verification Steps

Upload an IVD diagnostic reagent instruction manual PDF containing complex tables and specialized terminology to FastGPT. Verify that key fields (e.g., product name, scope of application, detection principle) are accurately extracted and that the text content is complete and correct.
Simulate a batch inspection report upload and parsing process. Verify that the extracted fields such as batch number, production date, and test result have correct data types and units, especially for specialized units like OD值 or IU/mL.
Configure FastGPT to connect with a simulated LIMS system via an HTTP interface. Attempt data query or upload operations. Observe the interface's return status codes and data structures to ensure data is correctly transmitted and received by the external system. Also, check that log records are complete.

Note: The values given 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.