from os import environ

# if you set a property in SESSION_CONFIG_DEFAULTS, it will be inherited by all configs
# in SESSION_CONFIGS, except those that explicitly override it.
# the session config can be accessed from methods in your apps as self.session.config,
# e.g. self.session.config['participation_fee']

# Amazon Access Keys
AWS_ACCESS_KEY_ID = environ.get('AWS_ACCESS_KEY_ID')
AWS_SECRET_ACCESS_KEY = environ.get('AWS_SECRET_ACCESS_KEY')

# Google RECAPTCHA
RECAPTCHA_PUBLIC_KEY = '6Lc6TpwUAAAAACJLN1908WOQKw0dpoC2fSFb8soB'
RECAPTCHA_PRIVATE_KEY = '6Lc6TpwUAAAAACidAk_JdOUb45_A8xSN0RnG3Bs-'
NOCAPTCHA = True

# Amazon Mechanical Turk settings
mturk_hit_settings = {
    'keywords': ['research', 'bonus', 'study', 'decision making'],
    'title': 'Scientific experiment in decision making (average: 30min, up to $8.00 bonus)',
    'description': 'I am a researcher interested in understanding human decision making processes. '
                   'In this HIT, you will complete two parts. Part 1 consists of two independent tests. '
                   'Part 2 consists of a task and a decision you need to make. '
                   'I estimate that part 1 and 2 will take around 30 minutes in total. '
                   'It pays $2.00 plus a bonus of up to $8.00. ',
    'frame_height': 500,
    'preview_template': 'global/MTurkPreview.html',
    'minutes_allotted_per_assignment': 60,
    'expiration_hours': 7*24, # 7 days
    #'grant_qualification_id': '3EL4N0OZCB5YEOCGSU2L6DJ6B0FQJV', # MTurk Sanbox
    'grant_qualification_id': '3HEU98BDEYTL7NVATUY9658S1AU8SN', # MTurk
    'qualification_requirements': [
        {
            #'QualificationTypeId': "3EL4N0OZCB5YEOCGSU2L6DJ6B0FQJV", # MTurk Sandbox
            'QualificationTypeId': "3HEU98BDEYTL7NVATUY9658S1AU8SN", # MTurk
            'Comparator': "DoesNotExist",
        },
        {
            'QualificationTypeId': "000000000000000000L0", #Worker_​PercentAssignmentsApproved
            'Comparator': "GreaterThanOrEqualTo",
            'IntegerValues': [90]
        },
        {
            'QualificationTypeId': "00000000000000000040", #Worker_​NumberHITsApproved
            'Comparator': "GreaterThanOrEqualTo",
            'IntegerValues': [100]
        }
    ]
}

SESSION_CONFIG_DEFAULTS = {
    'real_world_currency_per_point': 0.004,
    'participation_fee': 2.00,
    'doc': "",
    'mturk_hit_settings': mturk_hit_settings,
}

SESSION_CONFIGS = [
    {
        'name': 'po_ca_eb_1',
        'display_name': "Psychological Ownership, Cognitive Ability, and Economic Behaviour (Part 1)",
        'num_demo_participants': 8,
        'app_sequence': ['po_ca_eb_1'],
    },
    {
        'name': 'po_ca_eb_2',
        'display_name': "Psychological Ownership, Cognitive Ability, and Economic Behaviour (Part 2)",
        'num_demo_participants': 8,
        'app_sequence': ['po_ca_eb_2'],
    },
]
# see the end of this file for the inactive session configs


# ISO-639 code
# for example: de, fr, ja, ko, zh-hans
LANGUAGE_CODE = 'en'

# e.g. EUR, GBP, CNY, JPY
REAL_WORLD_CURRENCY_CODE = 'USD'
USE_POINTS = True

ROOMS = [
    {
        'name': 'econ101',
        'display_name': 'Econ 101 class',
        'participant_label_file': '_rooms/econ101.txt',
    },
    {
        'name': 'live_demo',
        'display_name': 'Room for live demo (no participant labels)',
    },
]


# AUTH_LEVEL:
# this setting controls which parts of your site are freely accessible,
# and which are password protected:
# - If it's not set (the default), then the whole site is freely accessible.
# - If you are launching a study and want visitors to only be able to
#   play your app if you provided them with a start link, set it to STUDY.
# - If you would like to put your site online in public demo mode where
#   anybody can play a demo version of your game, but not access the rest
#   of the admin interface, set it to DEMO.

# for flexibility, you can set it in the environment variable OTREE_AUTH_LEVEL
AUTH_LEVEL = environ.get('OTREE_AUTH_LEVEL')

ADMIN_USERNAME = 'admin'
# for security, best to set admin password in an environment variable
ADMIN_PASSWORD = environ.get('OTREE_ADMIN_PASSWORD')


# Consider '', None, and '0' to be empty/false
DEBUG = (environ.get('OTREE_PRODUCTION') in {None, '', '0'})

DEMO_PAGE_INTRO_HTML = """
Here are various games implemented with 
oTree. These games are open
source, and you can modify them as you wish.
"""

# don't share this with anybody.
SECRET_KEY = '9xs99xkv$l^)m(exx$k9pfll$!8xrt@k1ya0pe4m3x@_f*u4)-'

# if an app is included in SESSION_CONFIGS, you don't need to list it here
INSTALLED_APPS = ['otree',
                  'captcha',
                  ]


### inactive session configs
### {
###     'name': 'public_goods',
###     'display_name': "Public Goods",
###     'num_demo_participants': 3,
###     'app_sequence': ['public_goods', 'payment_info'],
### },
### {
###     'name': 'guess_two_thirds',
###     'display_name': "Guess 2/3 of the Average",
###     'num_demo_participants': 3,
###     'app_sequence': ['guess_two_thirds', 'payment_info'],
### },
### {
###     'name': 'survey',
###     'num_demo_participants': 1,
###     'app_sequence': ['survey', 'payment_info'],
### },
### {
###     'name': 'quiz',
###     'num_demo_participants': 1,
###     'app_sequence': ['quiz'],
### },
### {
###     'name': 'trust',
###     'display_name': "Trust Game",
###     'num_demo_participants': 2,
###     'app_sequence': ['trust', 'payment_info'],
### },
### {
###     'name': 'prisoner',
###     'display_name': "Prisoner's Dilemma",
###     'num_demo_participants': 2,
###     'app_sequence': ['prisoner', 'payment_info'],
### },
### {
###     'name': 'ultimatum',
###     'display_name': "Ultimatum (randomized: strategy vs. direct response)",
###     'num_demo_participants': 2,
###     'app_sequence': ['ultimatum', 'payment_info'],
### },
### {
###     'name': 'ultimatum_strategy',
###     'display_name': "Ultimatum (strategy method treatment)",
###     'num_demo_participants': 2,
###     'app_sequence': ['ultimatum', 'payment_info'],
###     'use_strategy_method': True,
### },
### {
###     'name': 'ultimatum_non_strategy',
###     'display_name': "Ultimatum (direct response treatment)",
###     'num_demo_participants': 2,
###     'app_sequence': ['ultimatum', 'payment_info'],
###     'use_strategy_method': False,
### },
### {
###     'name': 'vickrey_auction',
###     'display_name': "Vickrey Auction",
###     'num_demo_participants': 3,
###     'app_sequence': ['vickrey_auction', 'payment_info'],
### },
### {
###     'name': 'volunteer_dilemma',
###     'display_name': "Volunteer's Dilemma",
###     'num_demo_participants': 3,
###     'app_sequence': ['volunteer_dilemma', 'payment_info'],
### },
### {
###     'name': 'cournot',
###     'display_name': "Cournot Competition",
###     'num_demo_participants': 2,
###     'app_sequence': [
###         'cournot', 'payment_info'
###     ],
### },
### {
###     'name': 'principal_agent',
###     'display_name': "Principal Agent",
###     'num_demo_participants': 2,
###     'app_sequence': ['principal_agent', 'payment_info'],
### },
### {
###     'name': 'dictator',
###     'display_name': "Dictator Game",
###     'num_demo_participants': 2,
###     'app_sequence': ['dictator', 'payment_info'],
### },
### {
###     'name': 'matching_pennies',
###     'display_name': "Matching Pennies",
###     'num_demo_participants': 2,
###     'app_sequence': [
###         'matching_pennies',
###     ],
### },
### {
###     'name': 'traveler_dilemma',
###     'display_name': "Traveler's Dilemma",
###     'num_demo_participants': 2,
###     'app_sequence': ['traveler_dilemma', 'payment_info'],
### },
### {
###     'name': 'bargaining',
###     'display_name': "Bargaining Game",
###     'num_demo_participants': 2,
###     'app_sequence': ['bargaining', 'payment_info'],
### },
### {
###     'name': 'common_value_auction',
###     'display_name': "Common Value Auction",
###     'num_demo_participants': 3,
###     'app_sequence': ['common_value_auction', 'payment_info'],
### },
### {
###     'name': 'bertrand',
###     'display_name': "Bertrand Competition",
###     'num_demo_participants': 2,
###     'app_sequence': [
###         'bertrand', 'payment_info'
###     ],
### },
### {
###     'name': 'real_effort',
###     'display_name': "Real-effort transcription task",
###     'num_demo_participants': 1,
###     'app_sequence': [
###         'real_effort',
###     ],
### },
### {
###     'name': 'lemon_market',
###     'display_name': "Lemon Market Game",
###     'num_demo_participants': 3,
###     'app_sequence': [
###         'lemon_market', 'payment_info'
###     ],
### },
### {
###     'name': 'public_goods_simple',
###     'display_name': "Public Goods (simple version from tutorial)",
###     'num_demo_participants': 3,
###     'app_sequence': ['public_goods_simple', 'payment_info'],
### },
### {
###     'name': 'trust_simple',
###     'display_name': "Trust Game (simple version from tutorial)",
###     'num_demo_participants': 2,
###     'app_sequence': ['trust_simple'],
### },
### {
###     'name': 'slider_task_test',
###     'display_name': "Slider Task",
###     'num_demo_participants': 6,
###     'app_sequence': ['slider_task_test'],
### },
### {
###     'name': 'house_money_effect',
###     'display_name': "House Money Effect",
###     'num_demo_participants': 2,
###     'app_sequence': ['house_money_effect'],
### },