85 lines
2.4 KiB
Python
85 lines
2.4 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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def extract_batch_positions():
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"""提取食品岗位简历中的岗位名称和批次信息"""
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# 读取食品岗位简历数据
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with open('网页未导入数据/食品产业/食品岗位简历.json', 'r', encoding='utf-8') as f:
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data = json.load(f)
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# 按批次分组岗位
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batch_positions = {
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'第一批次': [],
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'第二批次': [],
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'第三批次': []
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}
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# 提取岗位名称和批次
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for position_data in data:
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position_name = position_data.get('岗位名称', '')
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batch = position_data.get('批次', '')
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if position_name and batch in batch_positions:
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batch_positions[batch].append(position_name)
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# 打印结果
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print("食品产业岗位按批次分类：")
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print("=" * 50)
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for batch, positions in batch_positions.items():
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print(f"\n{batch} ({len(positions)}个岗位):")
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for i, position in enumerate(positions, 1):
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print(f" {i}. {position}")
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# 生成JavaScript代码
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js_code = """const initialBatchPositions = {
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batch1: [
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"""
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for position in batch_positions['第一批次']:
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js_code += f' "{position}",\n'
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js_code += """ ],
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batch2: [
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"""
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for position in batch_positions['第二批次']:
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js_code += f' "{position}",\n'
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js_code += """ ],
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batch3: [
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"""
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for position in batch_positions['第三批次']:
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js_code += f' "{position}",\n'
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js_code += """ ]
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};"""
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print(f"\n\n生成的JavaScript代码：")
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print("=" * 50)
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print(js_code)
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# 保存到文件
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with open('batch_positions_output.txt', 'w', encoding='utf-8') as f:
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f.write("食品产业岗位按批次分类：\n")
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f.write("=" * 50 + "\n")
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for batch, positions in batch_positions.items():
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f.write(f"\n{batch} ({len(positions)}个岗位):\n")
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for i, position in enumerate(positions, 1):
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f.write(f" {i}. {position}\n")
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f.write(f"\n\n生成的JavaScript代码：\n")
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f.write("=" * 50 + "\n")
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f.write(js_code)
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print(f"\n结果已保存到 batch_positions_output.txt")
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return batch_positions, js_code
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if __name__ == "__main__":
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extract_batch_positions()
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