factories.py 3.2 KB

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  1. """Calculate production in different factories"""
  2. import json
  3. from rival_regions_calc import Item, WorkProduction
  4. DEPARTMENTS = None
  5. with open('departments.json') as file:
  6. DEPARTMENTS = json.load(file)
  7. PRICE = None
  8. with open('prices.json') as file:
  9. PRICE = json.load(file)
  10. REGIONS = None
  11. with open('regions.json') as file:
  12. REGIONS = json.load(file)
  13. RESOURCES = None
  14. with open('factories.json') as file:
  15. RESOURCES = json.load(file)
  16. WP = WorkProduction()
  17. WP.user_level = 73
  18. WP.work_exp = 80000 + 200 * 176
  19. WP.profit_share = 75
  20. def calculate_wage(resource_name, factory):
  21. """Calculate production"""
  22. if 'fixed_wage' in factory:
  23. return factory['fixed_wage']
  24. resource = Item(resource_name)
  25. WP.resource = resource
  26. WP.factory_level = factory['level']
  27. WP.department_bonus = DEPARTMENTS[REGIONS[str(factory['region_id'])]['state']][resource_name]
  28. WP.resource_max = REGIONS[str(factory['region_id'])]['resources'][resource_name]
  29. WP.wage_percentage = factory['wage']
  30. WP.tax_rate = REGIONS[str(factory['region_id'])]['tax'][resource_name]
  31. WP.calculate()
  32. return WP.wage() * PRICE[resource_name]
  33. def all_factories():
  34. """return all factories"""
  35. factory_dict = {}
  36. for factories in RESOURCES.values():
  37. factory_dict.update(factories)
  38. return factory_dict
  39. def print_per_resource():
  40. """Print wages per resource"""
  41. for resource_name, factories in RESOURCES.items():
  42. print(resource_name)
  43. for factory in sorted(factories.values(), key=lambda k: k['wage'], reverse=True):
  44. print('{:30} {:>12}'.format(
  45. factory['name'],
  46. int(factory['wage']),
  47. ))
  48. def print_all():
  49. """Print wages per resource"""
  50. factory_dict = all_factories()
  51. print("Total Wage %")
  52. print("———————————————————————————— ————— ———")
  53. sorted_factories = sorted(factory_dict.values(), key=lambda k: k['wage'], reverse=True)
  54. top_wage = sorted_factories[0]['wage']
  55. for factory in sorted_factories:
  56. print('{:28} {:>4,}kk {:>3}'.format(
  57. factory['name'],
  58. round(int(factory['wage'])/1000000),
  59. int(100 / top_wage * factory['wage']),
  60. ).replace(',', '.'))
  61. def print_factory_list():
  62. """print all factories"""
  63. for resource_name, factories in RESOURCES.items():
  64. print('[rr]{}[/rr]'.format(resource_name.capitalize()))
  65. for factory_id, factory in factories.items():
  66. print('[url=https://rivalregions.com/#factory/index/{}]Desktop[/url] [url=https://m.rivalregions.com/#factory/index/{}]Mobile[/url] {}, {} '.format(
  67. factory_id,
  68. factory_id,
  69. factory['name'],
  70. REGIONS[str(factory['region_id'])]['name'],
  71. ))
  72. def main():
  73. """Main function"""
  74. for resource_name, factories in RESOURCES.items():
  75. for factory_id, factory in factories.items():
  76. wage = calculate_wage(resource_name, factory)
  77. RESOURCES[resource_name][factory_id]['wage'] = wage
  78. # print_per_resource()
  79. print_all()
  80. # print_factory_list()
  81. if __name__ == '__main__':
  82. main()