完成keyword的非扫描版pdf处理改造

pyproject.toml

@@ -8,6 +8,7 @@ dependencies = [
     "paddleocr>=2.10.0",
     "paddlepaddle>=3.0.0",
     "pdf2image>=1.17.0",
+    "pdfplumber>=0.11.6",
     "pyyaml>=6.0.2",
     "setuptools>=79.0.1",
 ]

src/keyword_scanner.py

@@ -6,12 +6,17 @@ from datetime import date
 from pdf2image import convert_from_path, pdfinfo_from_path
 from paddleocr import PaddleOCR
 import numpy as np
+import pdfplumber  # 新增 pdfplumber 导入
+import warnings
 
 # 配置日志
 logging.basicConfig(level=logging.INFO, 
                     format='%(asctime)s - %(levelname)s - %(filename)s:%(lineno)d - %(message)s', 
                     force=True)
 
+# 抑制pdfplumber的CropBox警告
+logging.getLogger('pdfminer').setLevel(logging.ERROR)
+
 # 初始化 PaddleOCR
 try:
     ocr = PaddleOCR(use_angle_cls=True, lang='ch', use_gpu=False, show_log=False, use_space_char=True)
@@ -78,6 +83,45 @@ class KeywordScanner:
         except IOError as e:
             logging.error(f"保存缓存文件 {self.cache_file} 失败: {e}")
             
+    def is_scanned_pdf(self, pdf_path):
+        """
+        判断PDF是否为扫描件
+        
+        Args:
+            pdf_path (str): PDF文件路径
+            
+        Returns:
+            bool: 如果是扫描件返回True，否则返回False
+        """
+        try:
+            # 使用with语句来控制pdfplumber操作范围内的警告
+            with warnings.catch_warnings():
+                warnings.filterwarnings("ignore", category=UserWarning)
+                
+                # 尝试使用pdfplumber打开并提取文本
+                with pdfplumber.open(pdf_path) as pdf:
+                    # 检查前3页或所有页面（取较小值）
+                    page_count = min(3, len(pdf.pages))
+                    total_text = ""
+                    
+                    # 获取前几页的文本
+                    for i in range(page_count):
+                        page = pdf.pages[i]
+                        text = page.extract_text() or ""
+                        total_text += text
+                    
+                    # 如果成功提取到一定量的文本，则认为不是扫描件
+                    if len(total_text.strip()) > 50:  # 设置一个阈值，例如50个字符
+                        logging.info(f"PDF文件 {pdf_path} 被识别为非扫描件，包含可提取文本。")
+                        return False
+                    else:
+                        logging.info(f"PDF文件 {pdf_path} 可能是扫描件，提取的文本很少或为空。")
+                        return True
+                    
+        except Exception as e:
+            logging.warning(f"判断PDF类型时出错 {pdf_path}: {e}，默认按扫描件处理。")
+            return True  # 出错时默认当作扫描件处理
+            
     def scan_pdf_for_keywords(self, pdf_path):
         """
         扫描单个PDF文件，检查是否包含关键词
@@ -88,68 +132,108 @@ class KeywordScanner:
         Returns:
             dict: 每个关键词对应的匹配状态
         """
-        if not ocr:
-            logging.error("PaddleOCR 未初始化，无法扫描关键词。")
-            return {}
-            
-        logging.info(f"开始扫描文件: {pdf_path}")
-        
         # 匹配结果字典
         matches = {keyword: False for keyword in self.keywords}
         
+        logging.info(f"开始扫描文件: {pdf_path}")
+        
         try:
-            # 获取PDF总页数
-            info = pdfinfo_from_path(pdf_path)
-            total_pages = info["Pages"]
-            logging.info(f"PDF总页数: {total_pages}")
+            # 判断PDF是否为扫描件
+            is_scanned = self.is_scanned_pdf(pdf_path)
             
-            # 处理PDF (分批处理，避免内存问题)
-            batch_size = 5  # 每批处理的页数
-            for start_page in range(1, total_pages + 1, batch_size):
-                end_page = min(start_page + batch_size - 1, total_pages)
-                logging.info(f"处理页面 {start_page} 到 {end_page}")
+            if is_scanned:
+                # 扫描件处理方式：使用OCR
+                if not ocr:
+                    logging.error("PaddleOCR 未初始化，无法扫描关键词。")
+                    return matches
                 
-                images = convert_from_path(pdf_path, first_page=start_page, last_page=end_page, dpi=200)
+                logging.info(f"使用OCR处理扫描件PDF: {pdf_path}")
+                # 获取PDF总页数
+                info = pdfinfo_from_path(pdf_path)
+                total_pages = info["Pages"]
+                logging.info(f"PDF总页数: {total_pages}")
                 
-                # 对每一页图像进行OCR识别和关键词匹配
-                for i, img in enumerate(images):
-                    current_page = start_page + i
-                    logging.info(f"正在识别第 {current_page} 页")
+                # 处理PDF (分批处理，避免内存问题)
+                batch_size = 5  # 每批处理的页数
+                for start_page in range(1, total_pages + 1, batch_size):
+                    end_page = min(start_page + batch_size - 1, total_pages)
+                    logging.info(f"处理页面 {start_page} 到 {end_page}")
                     
-                    # 转换为numpy数组
-                    img_np = np.array(img)
+                    images = convert_from_path(pdf_path, first_page=start_page, last_page=end_page, dpi=200)
                     
-                    # OCR识别
-                    try:
-                        ocr_result = ocr.ocr(img_np, cls=True)
+                    # 对每一页图像进行OCR识别和关键词匹配
+                    for i, img in enumerate(images):
+                        current_page = start_page + i
+                        logging.info(f"正在识别第 {current_page} 页")
                         
-                        # 提取文本内容
-                        page_text = ""
-                        if ocr_result:
-                            for line in ocr_result:
-                                for word_info in line:
-                                    if isinstance(word_info, list) and len(word_info) >= 2:
-                                        if isinstance(word_info[1], tuple) and len(word_info[1]) >= 1:
-                                            page_text += word_info[1][0] + " "
+                        # 转换为numpy数组
+                        img_np = np.array(img)
                         
-                        # 检查关键词匹配
-                        for keyword in self.keywords:
-                            if keyword in page_text and not matches[keyword]:
-                                matches[keyword] = True
-                                logging.info(f"在第 {current_page} 页找到关键词: {keyword}")
-                                
-                        # 如果所有关键词都已找到，可以提前结束
-                        if all(matches.values()):
-                            logging.info("所有关键词都已找到，提前结束扫描。")
-                            break
+                        # OCR识别
+                        try:
+                            ocr_result = ocr.ocr(img_np, cls=True)
                             
-                    except Exception as e:
-                        logging.error(f"OCR识别第 {current_page} 页时出错: {e}")
+                            # 提取文本内容
+                            page_text = ""
+                            if ocr_result:
+                                for line in ocr_result:
+                                    for word_info in line:
+                                        if isinstance(word_info, list) and len(word_info) >= 2:
+                                            if isinstance(word_info[1], tuple) and len(word_info[1]) >= 1:
+                                                page_text += word_info[1][0] + " "
+                        
+                            # 检查关键词匹配
+                            for keyword in self.keywords:
+                                if keyword in page_text and not matches[keyword]:
+                                    matches[keyword] = True
+                                    logging.info(f"在第 {current_page} 页找到关键词: {keyword}")
+                                    
+                            # 如果所有关键词都已找到，可以提前结束
+                            if all(matches.values()):
+                                logging.info("所有关键词都已找到，提前结束扫描。")
+                                break
+                                
+                        except Exception as e:
+                            logging.error(f"OCR识别第 {current_page} 页时出错: {e}")
+                    
+                    # 如果所有关键词都已找到，可以提前结束整个处理过程
+                    if all(matches.values()):
+                        break
+            else:
+                # 非扫描件处理方式：使用pdfplumber直接提取文本
+                logging.info(f"使用pdfplumber处理非扫描件PDF: {pdf_path}")
                 
-                # 如果所有关键词都已找到，可以提前结束整个处理过程
-                if all(matches.values()):
-                    break
+                # 使用warnings.catch_warnings抑制pdfplumber的警告
+                with warnings.catch_warnings():
+                    warnings.filterwarnings("ignore", category=UserWarning)
                     
+                    with pdfplumber.open(pdf_path) as pdf:
+                        total_pages = len(pdf.pages)
+                        # logging.info(f"PDF总页数: {total_pages}")
+                        
+                        # 逐页处理
+                        for page_num in range(total_pages):
+                            current_page = page_num + 1  # 页码从1开始计数
+                            # logging.info(f"正在提取第 {current_page} 页文本")
+                            
+                            try:
+                                page = pdf.pages[page_num]
+                                page_text = page.extract_text() or ""
+                                
+                                # 检查关键词匹配
+                                for keyword in self.keywords:
+                                    if keyword in page_text and not matches[keyword]:
+                                        matches[keyword] = True
+                                        logging.info(f"在第 {current_page} 页找到关键词: {keyword}")
+                                
+                                # 如果所有关键词都已找到，可以提前结束
+                                if all(matches.values()):
+                                    logging.info("所有关键词都已找到，提前结束扫描。")
+                                    break
+                                    
+                            except Exception as e:
+                                logging.error(f"提取第 {current_page} 页文本时出错: {e}")
+                
             return matches
             
         except Exception as e:
@@ -231,7 +315,7 @@ def main():
     output_directory = 'output'  # 输出结果目录
     
     # 在这里定义要搜索的关键词列表
-    keywords = ['波段练手实盘', '长线投资计划', '大资金实盘', '实盘股票']
+    keywords = ['波段练手实盘', '长线投资计划', '大资金实盘', '实盘股票', '策略演示']
     
     # 初始化扫描器
     scanner = KeywordScanner(pdf_directory, keywords, output_directory)

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     { name = "paddlepaddle" },
     { name = "pdf2image" },
+    { name = "pdfplumber" },
     { name = "pyyaml" },
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     { name = "pdf2image", specifier = ">=1.17.0" },
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