55 lines
1.9 KiB
Python
55 lines
1.9 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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from collections import defaultdict
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def extract_positions_by_batch():
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# 读取土木水利岗位简历数据
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with open('网页未导入数据/土木水利产业/土木水利岗位简历.json', 'r', encoding='utf-8') as f:
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civil_positions_data = json.load(f)
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# 按批次分类
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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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# 提取岗位名称并按批次分类
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for item in civil_positions_data:
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position_name = item.get("岗位名称", "")
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batch = item.get("批次", "")
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if batch in batch_positions and position_name:
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batch_positions[batch].append(position_name)
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# 输出结果
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print("土木水利岗位按批次分类：\n")
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# 第一批次
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print(f"第一批次 ({len(batch_positions['第一批次'])} 个岗位):")
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for pos in batch_positions['第一批次']:
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print(f" - {pos}")
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# 第二批次
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print(f"\n第二批次 ({len(batch_positions['第二批次'])} 个岗位):")
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for pos in batch_positions['第二批次']:
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print(f" - {pos}")
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# 第三批次
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print(f"\n第三批次 ({len(batch_positions['第三批次'])} 个岗位):")
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for pos in batch_positions['第三批次']:
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print(f" - {pos}")
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# 生成JavaScript格式的输出
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print("\n\n=== JavaScript格式输出 ===\n")
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print("const initialBatchPositions = {")
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print(f' batch1: {json.dumps(batch_positions["第一批次"], ensure_ascii=False, indent=4).replace(" ", " ")},')
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print(f' batch2: {json.dumps(batch_positions["第二批次"], ensure_ascii=False, indent=4).replace(" ", " ")},')
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print(f' batch3: {json.dumps(batch_positions["第三批次"], ensure_ascii=False, indent=4).replace(" ", " ")}')
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print("};")
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if __name__ == "__main__":
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extract_positions_by_batch()
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