from os import environ

SESSION_CONFIGS = [
    # dict(
    #     name='informational_cost_DEVELOPMENT',
    #     display_name='informational_cost_DEVELOPMENT',
    #     app_sequence=['informational_cost'],
    #     num_demo_participants=1,
    #     weights=[1, 0, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method']
    #     development=True
    # ),
    # dict(
    #     name='informational_cost',
    #     display_name='informational_cost',
    #     app_sequence=['informational_cost'],
    #     num_demo_participants=1,
    #     weights=[1, 0, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method']
    #     development=False
    # ),
    # dict(
    #     name='informational_cost_DETERMINISTIC_DEVELOPMENT',
    #     display_name='informational_cost_DETERMINISTIC_DEVELOPMENT',
    #     app_sequence=['informational_cost'],
    #     num_demo_participants=1,
    #     weights=[0, 1, 0],  # ['baseline', 'det', 'salient']
    #     development=True
    # ),
    # dict(
    #     name='intro_DEVELOPMENT',
    #     display_name='intro_DEVELOPMENT',
    #     app_sequence=['intro'],
    #     num_demo_participants=1,
    #     weights=[1/2, 1/2, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method']
    #     development=True
    # ),
    # dict(
    #     name='intro',
    #     display_name='intro',
    #     app_sequence=['intro'],
    #     num_demo_participants=1,
    #     weights=[1/2, 1/2, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method']
    #     development=False
    # ),
    # dict(
    #     name='lottery',
    #     display_name='Lottery',
    #     app_sequence=['lottery'],
    #     num_demo_participants=1,
    #     weights=[1/2, 1/2, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method']
    #     development=False
    # ),
    # dict(
    #     name='lottery_DEVELOPMENT',
    #     display_name='Lottery_DEVELOPMENT',
    #     app_sequence=['lottery'],
    #     num_demo_participants=1,
    #     weights=[1/2, 1/2, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method']
    #     development=True
    # ),
    dict(
        name='combined',
        display_name='Combined',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[1/3, 0, 1/3, 1/3, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=False
    ),
    dict(
        name='combined_DEVELOPMENT',
        display_name='Combined_DEVELOPMENT',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[1/3, 0, 1/3, 1/3, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=True
    ),
    dict(
        name='combined_two_comp',
        display_name='Combined Two Computers',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 1/3, 1/3, 1/3, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=False
    ),
dict(
        name='combined_two_comp_DEVELOPMENT',
        display_name='Combined Two Computers DEVELOPMENT',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 1/3, 1/3, 1/3, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=True
    ),
    dict(
        name='combined_DETERMINISTIC_DEVELOPMENT',
        display_name='Combined_DETERMINISTIC_DEVELOPMENT',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 1, 0, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=True
    ),
    dict(
        name='combined_DETERMINISTIC',
        display_name='combined_DETERMINISTIC',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 1, 0, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=False
    ),
    dict(
        name='combined_BASELINE',
        display_name='combined_BASELINE',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[1, 0, 0, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=False
    ),
    dict(
        name='combined_BASELINE_DEVELOPMENT',
        display_name='combined_BASELINE_DEVELOPMENT',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[1, 0, 0, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=True
    ),
    dict(
        name='combined_SALIENT',
        display_name='combined_SALIENT',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 0, 1, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=False
    ),
    dict(
        name='combined_SALIENT_DEVELOPMENT',
        display_name='combined_SALIENT_DEVELOPMENT',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 0, 1, 0, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=True
    ),
    dict(
        name='combined_STRATEGY_METHOD_DEVELOPMENT',
        display_name='combined_STRATEGY_METHOD_DEVELOPMENT',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 0, 0, 1, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=True
    ),
    dict(
        name='combined_STRATEGY_METHOD',
        display_name='combined_STRATEGY_METHOD',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 0, 0, 1, 0],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=False
    ),
    dict(
        name='combined_PLAN',
        display_name='combined_PLAN',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 0, 0, 0, 1],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=False
    ),
    dict(
        name='combined_PLAN_DEVELOPMENT',
        display_name='combined_PLAN_DEVELOPMENT',
        app_sequence=['intro', 'informational_cost', 'strategy_method', 'lottery'],
        num_demo_participants=1,
        weights=[0, 0, 0, 0, 1],  # ['baseline', 'det', 'salient', 'strategy_method', 'plan']
        development=True
    )
]

# 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']

SESSION_CONFIG_DEFAULTS = dict(
    real_world_currency_per_point=1.00, participation_fee=3, doc=""
)

PARTICIPANT_FIELDS = ['finished', 'param_rounds', 'environment_choice', 'bonus_choices',
                      'compType', 'chosen_decisions', 'part1_payoffs', 'part2_payoffs',
                      'det', 'base', 'salient', 'strategy', 'plan',
                      'treatment', 'lottery_order', 'pool_choice']
SESSION_FIELDS = ['prolific_completion_url', 'parameterization', 'lottery_payoffs', 'lottery_det_payoffs']


# 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 = False

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

DEMO_PAGE_INTRO_HTML = """ """

SECRET_KEY = '5381840834363'

OTREE_REST_KEY = 'failuresInContigentThinkingLandau2022'