HTTP Interface and External Systems for Infection Control

Data Characteristics

Infection control management regulations data originates from internal rules, operational guidelines, emergency plans, and training manuals published by medical institutions. It also includes industry standards and guidelines from national and local health commissions. These documents are often in PDF, DOCX, or HTML formats. Content structure varies, ranging from prescriptive articles to detailed operational steps. Update frequency is typically low, usually annual revisions or irregular updates based on policy changes. Document fields include regulation name, publication date, scope, specific clauses, responsible department, and operational procedures. Units may involve time (e.g., hours, days), personnel counts, and material consumption. Complex unit conversions are uncommon.

Constraints from "HTTP Interface and External Systems"

The low update frequency of infection control management regulation documents means data synchronization does not require high-frequency triggers. Periodic or event-driven synchronization strategies are suitable. Diverse document formats require HTTP interfaces to support various file types for upload and parsing, and to handle content with varying degrees of structure. For PDF files, accurate OCR recognition is necessary to extract text content. Specific clauses and operational procedures within regulations may require fine-grained processing through text segmentation and embedding techniques to improve question-answering accuracy. The specificity of fields and units demands identification and standardization during data preprocessing to ensure effective retrieval and matching, preventing issues caused by inconsistent units.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`100 MB`	Individual regulation files can be large; allocate sufficient upload space.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Large PDF files can take a long time to parse; prevent timeout interruptions.
`Chunk size`	`800–1200 characters`	Balances the completeness of regulation articles and retrieval granularity, avoiding context loss.
`Recall count`	`Top 10 entries`	Ensures coverage of relevant regulation clauses, improving answer comprehensiveness.
`Similarity threshold`	`0.75`	Filters highly relevant regulation content, reducing interference from irrelevant information.
`HTTP Request timeout`	`60 seconds`	External systems may have high response latency; provide sufficient waiting time.

Common Pitfalls

Issue: System returns HTTP 413 Payload Too Large error. Reason: The uploaded regulation file size exceeds the limit set by the UPLOAD_FILE_MAX_SIZE parameter.
Issue: Document parsing task remains in "processing" status for an extended period, eventually reporting Parse timeout. Reason: PARSE_FILE_TIMEOUT_SECONDS is set too short; large or complex regulation files cannot be parsed within the allotted time.
Issue: When sending files via HTTP request in a workflow, the external system reports Invalid file format or Missing file parameter. Reason: The Content-Type for the file parameter in the body is not set correctly, or the field name does not match the external system's requirements.

Verification Steps

Upload a typical infection control management regulation PDF file. Verify successful parsing and check if usable segments are generated in the knowledge base.
Use FastGPT's debugging feature to simulate user questions about specific regulation clauses. Check if the returned answers accurately cite relevant regulation content and review the recalled original segments.
Configure an external system interface. Attempt to send an HTTP request containing file parameters through a workflow. Check if the external system successfully receives and processes the file by observing its logs or file storage.

The values provided are common starting points and should be measured against specific 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.