Data Characteristics for This Category
Tender bidding and registration data originates from various levels of centralized procurement platforms for pharmaceuticals and medical devices, medical tender information websites, and provincial drug administration catalogs. This data primarily consists of structured and semi-structured documents. Common formats include Excel spreadsheets, PDF announcements, and web content. Data updates frequently; some provincial platforms may update weekly, while national platforms release updates monthly or quarterly. Document structures typically include fields such as product name, manufacturer, dosage form and specification, winning bid price, registered provinces, registration date, and procurement cycle. Field names may vary by platform; for example, "manufacturer" might appear as "supplier" or "registrant." Price units are usually "RMB/box" or "RMB/piece," but sometimes appear in minimum dosage units (e.g., "RMB/tablet"), requiring unit conversion.
Constraints Imposed by These Characteristics on "HTTP Interface and External Systems"
High-frequency updates and multiple data sources require HTTP interfaces to have efficient data fetching capabilities and robust error handling. Discrepancies in field names across platforms, inconsistent units, and diverse data formats challenge the parsing logic for interface responses. For instance, price fields may contain units as strings, necessitating regular expressions to extract numerical values and standardize units. Unstructured information in PDF announcements requires advanced OCR or natural language processing techniques for extraction. Additionally, some platforms implement frequency limits or IP blocking policies against crawlers, increasing data acquisition complexity and requiring careful design of request intervals and IP rotation mechanisms. The large volume and inconsistent formats also increase the burden of data cleaning and preprocessing, affecting subsequent knowledge base construction and AI Agent accuracy.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
HTTP_REQUEST_TIMEOUT_SECONDS | 300 seconds | Handles complex page loading and large data transfers, preventing interruptions due to timeouts. |
MAX_RETRIES_ON_FAILURE | 5 times | Improves data fetching success rate, addressing network fluctuations or transient server failures. |
USER_AGENT_ROTATION_INTERVAL_MINUTES | 15–30 minutes | Simulates real user access, circumventing anti-crawler mechanisms on some websites. |
EXTRACT_PATTERN_FOR_PRICE | \d+(\.\d{1,2})? | Precisely extracts price numerical values, ignoring currency symbols and units. |
API_RESPONSE_SIZE_LIMIT_MB | 50 MB | Limits the size of a single response body, preventing memory overflow. |
PARSE_INTERVAL_HOURS | 6–12 hours | Balances data freshness with system resource consumption. |
Three Common Pitfalls
- An HTTP request returns a status code of 200, but the response body is empty or an error page. This usually indicates that the website's anti-crawler mechanism has been triggered, for example, due to an IP block or recognized
User-Agent. - The price field value obtained from the interface is incorrect or empty. This often results from inconsistent price field names across different platforms, or non-numeric characters in the price leading to parsing failures.
- After calling an HTTP interface in a workflow, the data structure received by subsequent nodes does not match expectations. This may stem from a mismatch between the HTTP interface's returned data format and predefined parsing rules, such as a change in JSON field names.
How to Confirm Correct Configuration
- Verify all configured HTTP interfaces to ensure they consistently return data in the expected format. Check that critical fields (e.g., product name, price) are extracted correctly.
- Simulate the data update cycle of specific platforms to verify that the system triggers data fetching on schedule and successfully imports new data into the knowledge base.
- Review historical data fetching logs to confirm that parameters like
HTTP_REQUEST_TIMEOUT_SECONDSandMAX_RETRIES_ON_FAILUREeffectively handled network anomalies during actual operation.
The values provided are common starting points. Measure them against specific samples to determine the most suitable configuration for individual use cases.
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.