Cardiovascular Regulations: HTTP Interface and External

Data Characteristics for this Category

Cardiovascular disease regulations and Standard Operating Procedure (SOP) data originate from the National Health Commission, various medical institutions, and industry associations. This includes guidelines, consensus documents, and internal management files. Document updates are relatively stable, typically occurring annually or biennially. Additional updates happen with significant medical advancements or policy changes. Documents are primarily in PDF and Word formats, containing numerous tables, diagrams, and flowcharts. Text content covers disease diagnostic criteria, treatment pathways, drug usage specifications, surgical procedures, and nursing essentials. Fields and units are highly specialized, for example, heart rate (beats/minute), blood pressure (mmHg), drug dosage (mg/kg), time (hours/day), and various medical indicator normal ranges. Documents frequently include cross-references and term definitions, requiring high accuracy in text comprehension.

Constraints on the "HTTP Interface and External Systems" Component

The update frequency of cardiovascular regulation documents dictates that external systems should not pull or update the knowledge base via HTTP interfaces too frequently. This avoids resource waste. However, prompt synchronization is necessary upon new version releases. Complex tables and diagrams in documents demand advanced file parsing. Plain text extraction may lose critical information, requiring multimodal parsing or structured information extraction capabilities. Specialized medical terminology and units require data integrity and accuracy during transmission. This prevents ambiguity during encoding or parsing. For instance, blood pressure 120/80 mmHg must be recognized and processed as a single entity. Cross-references between documents mean the knowledge base needs effective linking mechanisms to support in-depth Q&A. Furthermore, regulatory Q&A does not require real-time responses but demands high accuracy and traceability. Interface design must therefore support source document citation.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`100 MB`	Cardiovascular regulation documents may contain many images and complex layouts, often resulting in large file sizes.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Processing large PDF or Word documents requires more time. This prevents parsing failures due to timeouts.
`chunk_size`	`800 characters`	This ensures each chunk contains sufficient context while preventing chunks from becoming too long and fragmenting meaning.
`overlap_size`	`100 characters`	Appropriate overlap ensures contextual continuity, especially when processing procedural descriptions.
`recall_top_k`	`10 entries`	Regulatory Q&A requires comprehensive recall of relevant clauses to ensure answer completeness and prevent omission of key information.
`similarity_threshold`	`0.75`	Increasing the similarity threshold ensures recalled regulatory items are highly relevant to user queries, reducing irrelevant information.

Common Pitfalls

After calling the HTTP interface, the returned answer content is empty or incomplete. The response.data field is empty. This may occur if document parsing fails, unable to extract valid text content, or if the parser cannot handle tables and diagrams within the document.
Speech input functionality reports an error, such as Invalid audio format or Unsupported media type. This often happens when the audio file format uploaded by the external system does not match the interface's required formats, such as audio/mpeg or audio/wav, preventing server recognition.
Medical indicator values or units in Q&A results are incorrect. For example, blood pressure 120/80 is recognized as 120 80. This is often due to the text tokenizer or entity recognition module failing to correctly process compound medical terms with slashes or specific units, leading to information loss or misinterpretation.

Verification Steps

Upload a cardiovascular SOP document (e.g., a PDF version of "Guidelines for Hypertension Diagnosis and Treatment") containing complex tables and flowcharts. Use the HTTP interface to query the knowledge base. Confirm that the returned content correctly identifies and presents key data and procedural steps from the tables.
Use a query statement containing medical terms and units (e.g., "What is the normal range for troponin I in myocardial infarction patients?") via the HTTP interface for Q&A. Check if the returned results include accurate values and units and can cite the relevant troponin I passages from the original text.
Simulate an external system uploading multiple cardiovascular regulation documents in different formats (PDF, DOCX) via the HTTP interface. Check that all HTTP status codes returned are 200 OK, ensuring all files are properly received and processed by the system.
Check the log system to confirm no PARSE_FILE_TIMEOUT_SECONDS timeout errors (set at 600 seconds) occurred during document parsing. Also, verify that large files up to UPLOAD_FILE_MAX_SIZE (set at 100 MB) were successfully uploaded.

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.