import csv

employees = [
  {
    "first_name": "Bill",
    "last_name": "Lumbergh",
    "job_title": "Vice President",
    "hire_date": 1985,
    "performance_review": "excellent"
  }, {
    "first_name": "Michael",
    "last_name": "Bolton",
    "job_title": "Programmer",
    "hire_date": 1995,
    "performance_review": "poor"
  }, {
    "first_name": "Peter",
    "last_name": "Gibbons",
    "job_title": "Programmer",
    "hire_date": 1989,
    "performance_review": "poor"
  }, {
    "first_name": "Samir",
    "last_name": "Nagheenanajar",
    "job_title": "Programmer",
    "hire_date": 1974,
    "performance_review": "fair"
  }, {
    "first_name": "Milton",
    "last_name": "Waddams",
    "job_title": "Collator",
    "hire_date": 1974,
    "performance_review": "does he even work here?"
  }, {
    "first_name": "Bob",
    "last_name": "Porter",
    "job_title": "Consultant",
    "hire_date": 1999,
    "performance_review": "excellent"
  }, {
    "first_name": "Bob",
    "last_name": "Slydell",
    "job_title": "Consultant",
    "hire_date": 1999,
    "performance_review": "excellent"
  }
]

with open("tps_report.csv", "w", newline="") as csvfile:
  fieldnames = ["first_name", "last_name", "job_title", "hire_date", "performance_review", "finished_review"]
  writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

  writer.writeheader()

  for person in employees:
    person["finished_review"] = "yes"

    if person["first_name"] == "Bill" or person["job_title"] == "Consultant":
      person["performance_review"] = "poor"
    else:
      person["performance_review"] = "excellent"

    writer.writerow(person)