HTTP Interface and External Systems for Cardiovascular

Data Characteristics

Quality documents for cardiovascular intervention medical devices include design and development documents, production process records, inspection reports, risk management files, clinical evaluation reports, and post-market surveillance documents. These documents originate from internal R&D, production, and quality inspection systems, as well as external clinical and regulatory data platforms. Design and development documents are updated frequently early in the product lifecycle. Production records synchronize with batch production. Inspection reports generate before each product batch release. Risk management and clinical evaluation reports update periodically or triggered by events. Document structures often combine structured and semi-structured formats. For example, inspection reports have fixed fields for test items and results, while clinical evaluation reports may contain extensive free-text descriptions. Fields and units are standardized. Examples include material composition (e.g., nickel-titanium alloy content %), device dimensions (e.g., catheter diameter mm, length cm), physical properties (e.g., tensile strength MPa, fatigue life Batches), and biocompatibility indicators (e.g., cytotoxicity level Level).

Constraints on HTTP Interfaces and External Systems

The data characteristics of cardiovascular intervention quality documents impose specific constraints on HTTP interfaces and external system integration. First, diverse data sources require robust interface adaptability. The interface must parse various formats like XML, JSON, or PDF from different systems and perform unified structured processing. Second, some documents (e.g., production batch records, inspection reports) require real-time updates. This necessitates high-frequency data synchronization to avoid information lag due to delays. Sensitive information within documents (e.g., patient clinical data, trade secrets) demands high data transmission security. This requires HTTPS encrypted transmission, authentication, and access control. For free text in semi-structured documents, the interface needs to support text extraction and entity recognition to extract key information. Additionally, numerous numerical fields and specific units require the interface to correctly identify and convert units during data parsing, preventing data ambiguity. The interface must also handle document version management, ensuring references always point to the latest or specific versions of quality documents.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`API_KEY`	Generate independently, assign per application	Ensures permission isolation, prevents global key leaks from affecting all applications
`REQUEST_TIMEOUT_SECONDS`	`60 seconds`	Balances large document transmission and real-time requirements, prevents interface timeouts due to long waits
`MAX_RETRIES`	`3`	Addresses network fluctuations or transient external system failures, increases data transmission success rate
`CHUNK_SIZE_BYTES`	`2048 KB`	Adapts to common quality document sizes, balances transmission efficiency and memory usage
`CONTENT_TYPE_HEADER`	`application/json` or `application/xml`	Set according to the actual return format of the external system, ensures correct parsing of the request body
`AUTH_HEADER_SCHEME`	`Bearer` or `Basic`	Matches the authentication mechanism required by the external system, ensures requests have valid credentials

Common Pitfalls

HTTP requests return 401 Unauthorized or 403 Forbidden status codes. This indicates a missing or incorrect Authorization header, or the provided API_KEY lacks permissions to access the target resource.
Interface calls succeed but return empty or incomplete data fields. This can happen if the JSON/XML structure returned by the external system's interface does not match the parsing path configured in FastGPT, preventing correct extraction of target data.
Uploading large files results in a 504 Gateway Timeout error. This typically occurs when REQUEST_TIMEOUT_SECONDS is set too short, not allowing enough time for the external system to process and return a result.

Verification Steps

Use the FastGPT debugging tool to send a request with the configured HTTP interface. Check if the returned HTTP status code is 200 OK.
Verify the structure and content of the data returned by the interface. Confirm that key fields (e.g., product model, batch number, inspection results) are correctly extracted and consistent with external system data.
Upload a document containing special characters or extremely long text. Verify that FastGPT processes it correctly, without garbled characters or truncation.

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.