112 lines
3.2 KiB
Python
112 lines
3.2 KiB
Python
import os
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import sys
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import docx
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import pdfplumber
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import json
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sys.stdout.reconfigure(encoding='utf-8')
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base_dir = r"D:\医院绩效系统\参考文档"
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# Get all files
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all_files = os.listdir(base_dir)
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print(f"Total files found: {len(all_files)}")
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# Find files by pattern matching
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def find_files(patterns):
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found = []
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for f in all_files:
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for p in patterns:
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if p in f:
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found.append(f)
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break
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return found
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# Key patterns to search for
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key_patterns = [
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"附表一", "附表二", "附表三", "附表四", "附表五", "附表六",
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"附表七", "附表八", "附表九", "附表十", "附表十一", "附表十二", "附表十三",
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"一票否决", "职能科室公共", "护理部", "院感", "医保", "药学",
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"手术临床", "非手术", "医疗技术", "医疗辅助", "行政科室",
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"职工绩效", "KPI"
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]
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key_files = find_files(key_patterns)
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print(f"\nKey assessment files found: {len(key_files)}")
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for f in sorted(key_files):
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print(f" - {f}")
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def read_docx(filepath):
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try:
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doc = docx.Document(filepath)
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text = []
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for para in doc.paragraphs:
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if para.text.strip():
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text.append(para.text.strip())
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for table in doc.tables:
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for row in table.rows:
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row_text = []
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for cell in row.cells:
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row_text.append(cell.text.strip())
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if any(row_text):
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text.append(" | ".join(row_text))
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return "\n".join(text)
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except Exception as e:
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return f"Error: {e}"
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def read_doc(filepath):
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try:
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with open(filepath, 'rb') as f:
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raw = f.read()
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# Try different encodings
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for enc in ['utf-8', 'gbk', 'gb2312', 'latin-1']:
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try:
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return raw.decode(enc)
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except:
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continue
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return raw.decode('utf-8', errors='ignore')
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except Exception as e:
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return f"Error: {e}"
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def read_pdf(filepath):
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try:
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text = []
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with pdfplumber.open(filepath) as pdf:
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for page in pdf.pages:
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page_text = page.extract_text()
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if page_text:
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text.append(page_text)
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return "\n".join(text)
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except Exception as e:
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return f"Error: {e}"
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# Read and save key files
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results = {}
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for filename in sorted(key_files)[:20]: # Limit to first 20
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filepath = os.path.join(base_dir, filename)
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print(f"\nReading: {filename}")
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if filename.endswith('.docx'):
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content = read_docx(filepath)
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elif filename.endswith('.doc'):
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content = read_doc(filepath)
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elif filename.endswith('.pdf'):
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content = read_pdf(filepath)
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else:
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continue
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results[filename] = content
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print(f"Content length: {len(content)} chars")
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# Save results
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with open(r"D:\医院绩效系统\key_content.json", "w", encoding="utf-8") as f:
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json.dump(results, f, ensure_ascii=False, indent=2)
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print(f"\n\nSaved {len(results)} files to key_content.json")
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# Print content
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for filename, content in results.items():
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print(f"\n{'='*80}")
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print(f"FILE: {filename}")
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print(f"{'='*80}")
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preview = content[:4000] if len(content) > 4000 else content
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print(preview)
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