What the data for this category looks like
Medical device yield rate-related data primarily comes from public transaction records on medical consumables centralized procurement platforms, regional pharmaceutical trading markets, and factory and terminal sales data reported by manufacturers. Daily report files are generated with a daily update cycle, and all data uses structured JSON format. Core fields include unique product identifiers, medical device registration certificate numbers, product common names, procurement and storage unit prices, terminal sales unit prices, calculated yield rate values, and data collection timestamps. Field naming follows general coding specifications for the pharmaceutical industry. The yield rate field uses the original calculated value, with no percentage conversion applied.
What constraints these characteristics impose on HTTP interfaces and external systems
Data sources for the medical device category are scattered, and fields include industry-specific identifiers. These traits create multiple constraints for HTTP interface and external system interactions. Multi-source data must be obtained via polling multiple addresses. Interfaces must support filtering by parameters such as registration certificate numbers and product categories to accurately match yield rate data for target medical devices. The daily update cycle of daily reports requires interface polling intervals to align with data generation rhythms. This avoids triggering platform rate limits with high-frequency requests. The structured JSON format requires interface responses to strictly follow preset field specifications. Downstream systems must adapt to the original calculated value field format, with no additional percentage conversion logic required. Some public data sources have call frequency limits, so reasonable retry intervals and timeout parameters must be configured.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
request_timeout | 60 seconds | Medical device data sources are mostly government platforms with high response latency; 60 seconds covers most normal request durations |
max_retries | 3 attempts | Public trading platforms have a high probability of rate limiting; 3 retries reduces request failure rates without triggering secondary rate limits |
json_path_extract | Calibrated via actual testing | Fields such as yield_rate and product_name must be extracted based on the JSON structure of the target data source; no fixed universal path exists |
request_header | Includes Accept: application/json and User-Agent: FastGPT-API-Client | Complies with request validation rules for most public pharmaceutical data platforms, preventing identification as an invalid request |
query_params | Includes certificate_no and update_date parameters | Matches the precise filtering needs of medical device data, avoiding returning full redundant datasets |
response_status_check | Validate 200 OK status code and non-empty data field | Filters invalid responses and ensures valid yield rate data is obtained by downstream systems |
The parameter values provided on this page are standard recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: The yield rate field extracted after parsing the HTTP response is empty. Cause: The correct JSONPath path for the
yield_ratefield in the data source was not matched, or the JSON structure returned by the data source does not match the preset extraction rules. - Symptom: The request returns a
429 Too Many Requestsstatus code. Cause: The polling interval was set too short, exceeding the call frequency limit of the public pharmaceutical data platform. - Symptom: The external data source cannot be connected after the container starts. Cause: Correct network access permissions were not configured, or the server is offline and cannot access the interface address of the medical consumables trading platform.
How to confirm the configuration is complete
- Manually call the configured HTTP interface and check if the returned JSON structure includes the preset medical device fields and yield rate values.
- Trigger a test workflow, run the HTTP request node, and check if the yield rate variables extracted in the variable panel are generated normally.
- Simulate a high-frequency request scenario to confirm that the retry mechanism executes according to the configured
max_retriesparameter, with no additional abnormal errors. - Check if the downstream broadcast node can normally receive the extracted variables and complete the complete daily report circulation logic.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.