feat(Capture): 报告识别注入 Vision OCR 参考文本,提升 2B 多模态数字准确率

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

康康Tests/VLPromptsOCRTests.swift

@@ -0,0 +1,32 @@
+import Testing
+@testable import 康康
+
+struct VLPromptsOCRTests {
+
+    @Test func emptyOCRKeepsPromptClean() {
+        let p = VLPrompts.reportExtraction(ocrText: "")
+        #expect(!p.contains("OCR 参考文本"))
+        #expect(!p.contains("{{OCR_SECTION}}"))
+        #expect(p.contains("现在请识别图片并输出 JSON"))
+    }
+
+    @Test func ocrTextIsInjectedBeforeFinalInstruction() {
+        let p = VLPrompts.reportExtraction(ocrText: "尿酸  486  208-428  μmol/L")
+        #expect(p.contains("OCR 参考文本"))
+        #expect(p.contains("尿酸  486"))
+        let ocrPos = p.range(of: "尿酸  486")!.lowerBound
+        let endPos = p.range(of: "现在请识别图片并输出 JSON")!.lowerBound
+        #expect(ocrPos < endPos)
+    }
+
+    @Test func clipKeepsShortTextIntact() {
+        #expect(VLPrompts.clipOCR("短文本") == "短文本")
+    }
+
+    @Test func clipCutsAtLineBoundary() {
+        let long = Array(repeating: "指标行 1.23 mmol/L", count: 400).joined(separator: "\n")
+        let clipped = VLPrompts.clipOCR(long, limit: 200)
+        #expect(clipped.count < 260)
+        #expect(clipped.hasSuffix("(后续内容过长已截断)"))
+    }
+}