6d5a711d2c
功能修复： 1. 患者创建空名称验证：后端添加 name.trim().is_empty() 检查 2. 仪表盘统计容错：单个查询失败返回零值而非 500 3. FHIR 路由修复：从 /fhir 移到 /api/v1/fhir 保持一致 4. 冻结模块后端中间件：新增 frozen_module_middleware 拦截冻结路径 5. 积分端点权限码：health.health-data.list → health.points.list 6. 角色权限迁移：护士补充 devices.list，运营补充 points.list/manage 7. 测试结果文档：R01-R05 角色测试 + T00/T10 结果归档 Clippy 全 workspace 清零（14→0 errors）： - erp-core: 修复 empty doc line、collapsible if、redundant closure 等 9 处 - erp-health: 修复 too_many_arguments、unused var、unnecessary parens 等 58 处 - erp-ai: 修复 dead_code、unused import 等 11 处 - erp-plugin: 修复 too_many_arguments、wildcard pattern 等 11 处 - erp-server-migration: 修复 enum_variant_names 5 处 - erp-auth/config/workflow/message: 各 1-3 处 工程改进： - lint-staged 配置迁移到 .lintstagedrc.js（函数式避免文件列表传给 clippy） - cargo fmt 统一格式化
82 lines
3.0 KiB
Rust
82 lines
3.0 KiB
Rust
use crate::dto::suggestion::{ParsedOutput, StructuredOutput};
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use crate::error::AiResult;
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const TEXT_MARKER: &str = "===PATIENT_TEXT===";
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const JSON_MARKER: &str = "===STRUCTURED_JSON===";
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/// 解析 AI 双通道输出。JSON 解析失败时降级为纯文本。
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pub fn parse_dual_channel(raw: &str) -> AiResult<ParsedOutput> {
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let text_content = extract_section(raw, TEXT_MARKER, JSON_MARKER)
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.unwrap_or(raw)
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.trim()
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.to_string();
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let structured = extract_section(raw, JSON_MARKER, TEXT_MARKER).and_then(|json_str| {
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let parsed: Result<StructuredOutput, _> = serde_json::from_str(json_str.trim());
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parsed.ok()
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});
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Ok(ParsedOutput {
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text_content,
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structured,
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})
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}
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fn extract_section<'a>(raw: &'a str, start: &str, end: &str) -> Option<&'a str> {
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let start_idx = raw.find(start)?;
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let content_start = start_idx + start.len();
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let content_end = raw[content_start..]
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.find(end)
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.map(|i| content_start + i)
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.unwrap_or(raw.len());
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Some(&raw[content_start..content_end])
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::dto::suggestion::RiskLevel;
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#[test]
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fn parse_dual_channel_output_success() {
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let raw = "===PATIENT_TEXT===\n张三的收缩压呈上升趋势\n===STRUCTURED_JSON===\n{\"risk_level\":\"medium\",\"risk_factors\":[\"收缩压偏高\"],\"suggestions\":[{\"type\":\"followup\",\"priority\":1,\"timing\":\"14天内\",\"reason\":\"血压异常\",\"params\":{},\"auto_executable\":false}],\"baseline_summary\":{}}";
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let result = parse_dual_channel(raw).unwrap();
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assert_eq!(result.text_content, "张三的收缩压呈上升趋势");
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assert!(result.structured.is_some());
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let s = result.structured.unwrap();
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assert_eq!(s.risk_level, RiskLevel::Medium);
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assert_eq!(s.suggestions.len(), 1);
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}
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#[test]
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fn parse_text_only_fallback() {
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let raw = "纯文本分析结果，没有结构化部分";
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let result = parse_dual_channel(raw).unwrap();
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assert_eq!(result.text_content, "纯文本分析结果，没有结构化部分");
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assert!(result.structured.is_none());
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}
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#[test]
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fn parse_invalid_json_falls_back() {
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let raw = "===PATIENT_TEXT===\n分析内容\n===STRUCTURED_JSON===\n{invalid json}";
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let result = parse_dual_channel(raw).unwrap();
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assert_eq!(result.text_content, "分析内容");
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assert!(result.structured.is_none());
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}
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#[test]
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fn empty_suggestions_is_valid() {
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let raw = "===PATIENT_TEXT===\n指标正常\n===STRUCTURED_JSON===\n{\"risk_level\":\"low\",\"risk_factors\":[],\"suggestions\":[],\"baseline_summary\":{}}";
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let result = parse_dual_channel(raw).unwrap();
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let s = result.structured.unwrap();
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assert!(s.suggestions.is_empty());
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}
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#[test]
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fn risk_level_auto_executable() {
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assert!(RiskLevel::Low.is_auto_executable());
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assert!(!RiskLevel::Medium.is_auto_executable());
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assert!(!RiskLevel::High.is_auto_executable());
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}
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}
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