HTTP Interface and External Systems for High-Value

High-Value Consumables Data Structure

High-value consumables data originates from manufacturers' official databases, the National Medical Products Administration's (NMPA) medical device registration information, and hospital procurement and inventory management systems. This data updates infrequently, typically quarterly or annually. However, critical information such as prices, batch numbers, and expiration dates update more frequently.

Document structures typically include:

Product name
Model specifications
Registration certificate number
Manufacturer
Scope of application
Key parameters
Unit
Packaging
Batch number
Sterilization method
Storage conditions
Unique Device Identification (UDI) code

Field units are strict. For example, dimensions use millimeters or centimeters, and volumes use milliliters or liters, often with specific medical abbreviations. The UDI code is a core identifier; its format and parsing rules must precisely follow international standards.

Constraints from HTTP Interface and External Systems

The low update frequency of high-value consumables data means interface calls do not need to be frequent. However, each call must ensure data completeness and consistency.

The uniqueness and complexity of UDI codes require interface parameters to accurately receive and parse code strings containing multiple segments of information.

Diverse data sources necessitate interface designs that include data cleaning and standardization. This unifies field naming and unit representation across different sources. For example, different systems may use different field names or date formats for "expiration date."

Queries involving batch numbers and expiration dates require a degree of real-time responsiveness. Interfaces must respond quickly.

This data often supports decision-making and compliance reviews. Therefore, data transmission security, accuracy, and traceability are critical. Secure HTTP protocols and strict authentication mechanisms are necessary.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`API_ENDPOINT`	Official API address of manufacturer or regulator	Ensures authoritative and up-to-date data sources, e.g., `https://data.nmpa.gov.cn/api/medical_device`
`AUTH_HEADER`	`Authorization: Bearer <API_KEY>`	Uses standard OAuth2 or API Key authentication to secure data interfaces
`REQUEST_TIMEOUT_SECONDS`	`60 seconds`	Allows sufficient response time for potentially large data volumes, preventing timeouts due to network latency
`MAX_RETRIES`	`3 times`	Improves request robustness against network fluctuations or temporary service unavailability
`UDI_PARAM_NAME`	`udi_code` or `device_identifier`	Clearly specifies the parameter name for receiving UDI codes, aiding clarity for API callers
`DATA_SCHEMA_VALIDATION`	Enabled (e.g., using JSON Schema for validation)	Ensures received data structure and field types conform to expectations, preventing processing errors from inconsistent data formats, e.g., `{"udi_code": {"type": "string", "pattern": "^\\(01\\)\\d{14}"}}`

Common Pitfalls

External interface calls return a 401 Unauthorized error. This indicates an incorrect or expired API Key in the Authorization header.
Key fields (e.g., batch number, expiration date) are empty in the data returned by the interface. This occurs when the external system's API response structure does not match expectations, or data cleaning rules fail to process the data correctly.
Uploaded files to the knowledge base cannot be parsed or retrieved correctly. This happens if the file format is unsupported or if Content-Type is not set correctly during upload, leading to parsing failure.

Verification Steps

For core high-value consumable products, call the interface and compare the returned product name, model, and UDI code against official databases to ensure exact matches.
Simulate an external system sending a query request to FastGPT that includes batch number and expiration date information. Check if FastGPT's response accurately cites and verifies this information.
Use FastGPT's file upload feature to upload a product manual containing detailed parameters for high-value consumables. Then, query for specific parameters within the manual to confirm the knowledge base can correctly retrieve and answer.

The values provided are common starting points. Measure them against your 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.