Benjamin Hackl
2f2be8e1a0
- Add employee_data_processor.py: functional but ugly code with god function, globals, hardcoded values, mixed concerns - Add employees.csv: sample data with 10 records (4 invalid for testing) - Generates report.json and report.html output files - Perfect candidate for refactoring demo
81 lines
No EOL
1.8 KiB
JSON
81 lines
No EOL
1.8 KiB
JSON
{
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"summary": {
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"total_employees": 6,
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"skipped_records": 4,
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"total_annual_payroll": 3984000,
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"employees_by_department": {
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"Engineering": 2,
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"Human Resources": 2,
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"Sales": 1,
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"Marketing": 1
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}
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},
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"employees": [
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{
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"name": "Alice Smith",
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"email": "alice@example.com",
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"department": "Engineering",
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"annual_salary": 900000,
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"hire_date": "2023-01-15",
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"years_experience": 3.0
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},
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{
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"name": "Diana Prince",
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"email": "diana@example.com",
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"department": "Engineering",
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"annual_salary": 984000,
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"hire_date": "2022-05-20",
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"years_experience": 3.66
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},
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{
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"name": "Eve Wilson",
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"email": "eve@example.com",
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"department": "Human Resources",
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"annual_salary": 696000,
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"hire_date": "2023-04-10",
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"years_experience": 2.77
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},
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{
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"name": "Grace Lee",
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"email": "grace@example.com",
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"department": "Sales",
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"annual_salary": 0,
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"hire_date": "2023-06-01",
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"years_experience": 2.63
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},
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{
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"name": "Ivy Chen",
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"email": "ivy@example.com",
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"department": "Marketing",
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"annual_salary": 744000,
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"hire_date": "2023-07-15",
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"years_experience": 2.51
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},
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{
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"name": "Jack Brown",
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"email": "jack@example.com",
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"department": "Human Resources",
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"annual_salary": 660000,
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"hire_date": "2023-08-01",
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"years_experience": 2.46
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}
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],
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"skipped": [
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{
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"name": "Bob Jones",
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"reason": "Negative salary"
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},
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{
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"name": "Charlie",
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"reason": "Invalid email"
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},
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{
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"name": "Frank Miller",
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"reason": "Invalid department"
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},
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{
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"name": "Henry Davis",
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"reason": "Invalid hire_date"
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}
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]
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} |