What the data for this category looks like
Chemical pharmaceutical industry yield data is primarily sourced from public pharmaceutical industry database APIs, listed pharmaceutical company financial report disclosure APIs, and secondary market quotation APIs. Data update cadence falls into two categories: financial yield indicators are updated in batches quarterly, semi-annually, and annually. Secondary market-related yields are updated in real time per trading day. Each individual data entry follows a standard JSON structure, including fields such as unique enterprise identifier, reporting period, core yield indicators, and associated product pipeline information. Field units use decimal format to record proportional relationships, and percentage notation is not used. Some optional fields vary based on the reporting period: for example, quarterly financial reports only include current period core indicators, while annual financial reports include full-year cumulative and R&D-related yield indicators.
Constraints Imposed by These Characteristics on HTTP Interfaces and External Systems
Because there are two types of data—bulk historical data and real-time market data—interfaces must support both single-item query and bulk pull invocation modes. Multi-dimensional filtering requirements for enterprises and reporting periods mean interface parameters must support combined multi-condition validation. Authentication methods differ across data sources, so flexible configuration of authentication parameters must be supported. Nested product pipeline associated fields require the interface parsing logic to support multi-level data extraction. Data sources with different update frequencies must be paired with scheduled task configurations to distinguish scheduling cycles, preventing duplicate data pulls or delayed updates.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
API_DATA_SOURCE_TYPE | multi | Adapt to the invocation needs of two data source types: financial bulk data and real-time market data |
PARSE_FILE_TIMEOUT_SECONDS | 1800 seconds | Bulk financial report data for the chemical pharmaceutical industry has large volume, so extended parsing timeout duration is required to avoid interruptions |
recall_count | 10–20 entries | Chemical pharmaceutical industry yield data includes multi-dimensional indicators, so sufficient entries must be recalled to cover analysis requirements |
similarity_threshold | 0.75–0.85 | Distinguish the similarity of yield indicators between different enterprises in the same industry, avoiding redundant recall results |
HTTP_REQUEST_CONTENT_TYPE | application/json | Complies with standard request format requirements for most third-party pharmaceutical data interfaces |
AUTH_TYPE | api_key | Most public pharmaceutical industry data interfaces use API keys as the authentication method |
The parameter values provided on this page are common 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
- Issue: Returns
415 Unsupported Media Typestatus code, and the third-party interface cannot parse the request body. Cause:HTTP_REQUEST_CONTENT_TYPEis not configured correctly, causing a mismatch between the format declared in the request header and the actual request body format. - Issue: The recall results of datasets created via API do not match the fields of datasets generated manually in the interface. Cause: The list of fields to return is not specified in the API request parameters, and the default returned fields do not match the display fields configured in the interface.
- Issue: A
504 Gateway Timeouterror is triggered when pulling chemical pharmaceutical industry yield data in bulk. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration item is not adjusted, and the default timeout duration is insufficient to process bulk data across multiple enterprises and reporting periods.
How to Confirm Correct Configuration
- Send a test request to the configured data source interface, and check that the
Content-Typeresponse header matches theHTTP_REQUEST_CONTENT_TYPEconfiguration item. - Compare the recall results of datasets created via API with the recall results of manually uploaded files of the same format in the interface, and confirm that the returned fields are fully matched.
- Initiate a bulk data request, monitor the request execution duration, and confirm that it does not exceed the duration configured in
PARSE_FILE_TIMEOUT_SECONDS. - Verify that the authentication parameter configuration is correct, and check that the response status code returned by the interface is
200 OK.
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.