feat: OCR 服务 + 会议材料模块

ry-ocr/ (新) 本地发票识别微服务 (PaddleOCR 3.x + FastAPI, 8801) - QR 优先: 扫到二维码即取开票时间/发票号/金额; 没扫到/格式不合法直接判非发票, 不跑 OCR - 配置 QR_FULL_OCR 控制快路径(false, 0.2s)还是全字段(true, 4.5s) - /recognize/invoice (multipart) + /recognize/invoice/by-path (本地路径, 白名单) + /recognize/text - is_invoice / from_qr / qr_raw / qr_error / error_code 字段 - 12 字段发票抽取 (regex + 启发式, 左右主体识别) - 超时保护 (15s 单页 / 60s 总流程) + PaddleOCR 单例 + ThreadPoolExecutor ry-api/ruoyi-business/ - pom.xml: 加 hutool-http/json/core 5.8.27, lombok 1.18.30 (OcrClient @Slf4j 所需) - ocr/: OcrClient + InvoiceResult/Fields/Line + ZipExtractor + InvoiceOcrScheduler - oss/: OssUploader + OssConfMeta (OCR 识别后重传 OSS) - config/: OcrConfig + OcrExecutorConfig (后台线程池) - service/impl/InvoiceOcrService: 后台提交 OCR, ZIP 路径解压识别, 替换场景先清旧 - 会议材料 CRUD 全套 (BizMeetingAuditLog/Executor/Invoice/Material/Supervisor): controller + service + mapper + domain + xml ry-vue3/ - MeetingDetail.vue (新建): 会议详情页 (含评分维度章节, 改只读) - Meetings.vue / OssFileUploader.vue / router / Login.vue: 适配新字段 ry-api/ruoyi-admin/ - RuoYiApplication.java + application.yml: 启用 @Async 异步支持 _self/ - manager_meetings.md / manager_meeting_detail.md: 文档
2026-08-22 00:23:22 +08:00
parent edfaf4e7f5
commit c3eb8ed9c3
88 changed files with 6710 additions and 240 deletions
@@ -0,0 +1,93 @@
+"""基准测试：不同 DPI 下的 PDF 渲染耗时 vs OCR 耗时 vs 识别准确度"""
+import sys
+import time
+from pathlib import Path
+
+try:
+    sys.stdout.reconfigure(encoding="utf-8")
+except Exception:
+    pass
+
+ROOT = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(ROOT))
+
+import fitz
+from app.core import warmup
+from app.services.recognize_service import recognize_file
+
+
+def render(pdf_path: Path, dpi: int) -> Path:
+    out = ROOT / f"_bench_{dpi}dpi.png"
+    doc = fitz.open(str(pdf_path))
+    page = doc[0]
+    pix = page.get_pixmap(matrix=fitz.Matrix(dpi / 72, dpi / 72), alpha=False)
+    pix.save(str(out))
+    doc.close()
+    return out
+
+
+def bench_dpi(pdf_path: Path, dpi: int, runs: int = 3):
+    img_path = render(pdf_path, dpi)
+    img_bytes = img_path.read_bytes()
+    print(f"\n--- DPI={dpi} | 渲染图 {img_path.stat().st_size//1024}KB ---")
+
+    times = []
+    fields_ok = None
+    for i in range(runs):
+        t0 = time.time()
+        result = recognize_file(img_path.name, img_bytes)
+        elapsed = (time.time() - t0) * 1000
+        times.append(elapsed)
+        if i == 0 and result.success:
+            fields_ok = result.fields
+        print(f"  run {i+1}: {elapsed:7.1f}ms  success={result.success}")
+
+    # 清理中间文件
+    img_path.unlink(missing_ok=True)
+    (ROOT / f".{img_path.stem}_pages").rmdir() if (ROOT / f".{img_path.stem}_pages").exists() else None
+    # 上面可能删不了子目录，try 再清理 _pages 下文件
+    pages_dir = ROOT / f".{img_path.stem}_pages"
+    if pages_dir.exists():
+        for f in pages_dir.glob("*"):
+            f.unlink(missing_ok=True)
+        pages_dir.rmdir()
+
+    times.sort()
+    print(f"  min={times[0]:.1f}ms  median={times[len(times)//2]:.1f}ms  max={times[-1]:.1f}ms")
+
+    return fields_ok
+
+
+if __name__ == "__main__":
+    pdf = ROOT / "fapiao.pdf"
+    print(f"PDF: {pdf.name}, {pdf.stat().st_size//1024}KB, 1 页")
+
+    warmup()
+    print("预热完成\n")
+
+    print("=" * 60)
+    fields_100 = bench_dpi(pdf, 100)
+    print("=" * 60)
+    fields_150 = bench_dpi(pdf, 150)
+    print("=" * 60)
+    fields_200 = bench_dpi(pdf, 200)
+    print("=" * 60)
+    fields_300 = bench_dpi(pdf, 300)
+    print("=" * 60)
+
+    # 汇总
+    print("\n\n=== 关键字段对比 ===")
+    print(f"{'字段':<15} {'100dpi':<25} {'150dpi':<25} {'200dpi':<25} {'300dpi':<25}")
+    key_fields = ["invoice_no", "invoice_date", "amount", "amount_cn",
+                  "amount_pretax", "tax_amount", "seller_name", "buyer_name",
+                  "seller_tax_no", "buyer_tax_no", "amount_match"]
+    for k in key_fields:
+        row = [k]
+        for f in [fields_100, fields_150, fields_200, fields_300]:
+            v = getattr(f, k) if f else None
+            if v is None:
+                row.append("(空)")
+            else:
+                s = str(v)[:23]
+                row.append(s)
+        print(f"{row[0]:<15} {row[1]:<25} {row[2]:<25} {row[3]:<25} {row[4]:<25}")