from os import environ

#BASE_DIR = os.path.dirname(os.path.abspath(__file__))

ADMIN_USERNAME = 'TG'

# for security, best to set admin password in an environment variable
ADMIN_PASSWORD = 'complex'



# don't share this with anybody.
SECRET_KEY = 'a3)$ve0jmud6wq=jxm@&oad47bzni%%+uo-!p8m*6%9*^9-5li'
DEBUG=False
MIGRATION_MODULES = {'otree': 'otree_core_migrations'}

# AUTH_LEVEL:
# 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 the
# environment variable OTREE_AUTH_LEVEL 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, set OTREE_AUTH_LEVEL
# to DEMO. This will allow people to play in demo mode, but not access
# the full admin interface.

AUTH_LEVEL = 'STUDY'

# setting for integration with AWS Mturk
AWS_ACCESS_KEY_ID = 'AKIAIKNHJEPZYRVNR7WQ'
AWS_SECRET_ACCESS_KEY = 'a62RVz6r7jZxI0e7gW2XSmO575/Z2zOkcbklfTxx'

# e.g. EUR, CAD, GBP, CHF, CNY, JPY
REAL_WORLD_CURRENCY_CODE = 'USD'
USE_POINTS = False
REAL_WORLD_CURRENCY_DECIMAL_PLACES = 2


# e.g. en, de, fr, it, ja, zh-hans
# see: https://docs.djangoproject.com/en/1.9/topics/i18n/#term-language-code
LANGUAGE_CODE = 'en'

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

DEMO_PAGE_INTRO_TEXT = """
CU Intertemporal MEL
"""

# from here on are qualifications requirements for workers
# see description for requirements on Amazon Mechanical Turk website:
# http://docs.aws.amazon.com/AWSMechTurk/latest/AWSMturkAPI/ApiReference_QualificationRequirementDataStructureArticle.html
# and also in docs for boto:
# https://boto.readthedocs.org/en/latest/ref/mturk.html?highlight=mturk#module-boto.mturk.qualification

mturk_hit_settings = {
    'keywords': ['easy', 'bonus', 'choice', 'study'],
    # 'title': '15-Minute Research Study: Earn $1 Reward Plus Up To $6 Bonus',
    'title': '$0.5 Reward + $2.40 Bonus for Completing 20 min Survey',
    # 'description': 'Play decision-making game in 15-minute research study. Earn $1 reward and bonus of of up to $6.',
    'description': 'Please no mobile phones! Survey crashes. Please refrain from using Firefox browser – Chrome, Safari, Edge, and Internet Explorer work best.',
    'frame_height': 500,
    'template': 'global/mturk_template.html',
    'minutes_allotted_per_assignment': 60,
    'expiration_hours': 3,
    'qualification_requirements': [
        # {
        #     # self-generate qualification to prevent retakes
        #     'QualificationTypeId': "362T4FXEB3ZUVP158HA6NWXSGLMSD4",
        #     'Comparator': "DoesNotExist",
        #     'RequiredToPreview': True,
        # },
        # {
        #     # self-generate qualification to prevent retakes
        #     'QualificationTypeId': "38CFB6RWNRW5Q8LFJPLCK89WHZIVK2",
        #     'Comparator': "DoesNotExist",
        #     'RequiredToPreview': True,
        # },
        {
            'QualificationTypeId': "00000000000000000071",
            'Comparator': "EqualTo",
            'LocaleValues': [{'Country': "US"}],
            'RequiredToPreview': True,
        },
        # {
        #     # Sandbox
        #     # 'QualificationTypeId': "2ARFPLSP75KLA8M8DH1HTEQVJT3SY6",
        #     # Production:
        #     # 'QualificationTypeId': "3E7Z4QJ76W5ZQK2E8RMCJTY4Q2BIQ9",
        #     # 'Comparator': "Exists",
        #     # 'RequiredToPreview': True,
        # },
# percent assignments approved
        {
            'QualificationTypeId': "000000000000000000L0",
            'Comparator': "GreaterThanOrEqualTo",
            'IntegerValues': [95],
            'RequiredToPreview': True,
        },
        # # worker is adult
        # {
        #     'QualificationTypeId': "00000000000000000060",
        #     'Comparator': "EqualTo",
        #     'IntegerValues': [1],
        #     'RequiredToPreview': True,
        # },
# # number of hits approved
        {
            'QualificationTypeId': "00000000000000000040",
            'Comparator': "GreaterThanOrEqualTo",
            'IntegerValues': [500],
            'RequiredToPreview': 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 = {
    'real_world_currency_per_point': 0.000,
    'participation_fee': 1.5,
    'doc': "",
    'mturk_hit_settings': mturk_hit_settings,
}


SESSION_CONFIGS = [
   {
        'name': 'belief_formation',
        'type': 'beliefs',
        'pilot': 0,
        'display_name': "Belief Formation",
        'num_demo_participants': 20,
        'prize': 5,
        'survey_prize': 2,
        'endowment': 3,
        'machine_probability': 10,
        # 'every_xth_person_paid': 3,
        'prob_belief_paid_out': 0.9,
        'total_belief_rounds': 12,
        'raven_incentive': 0.5,
        'max_duration': 45,
        'fixed_round_bonus': 0,
        'exp_duration': 25,
        'app_sequence': [
            'beliefs_main_exp',
            'beliefs_treatment',
            'survey_beliefs',
            'risk_uncertainty_goodbye'
        ]
    },

    {
        'name': 'belief_default_manip',
        'type': 'beliefs',
        'pilot': 0,
        'display_name': "Belief Default Manipulation",
        'num_demo_participants': 20,
        'prize': 5,
        'survey_prize': 2,
        'endowment': 3,
        'machine_probability': 10,
        # 'every_xth_person_paid': 3,
        'prob_belief_paid_out': 0.9,
        'total_belief_rounds': 12,
        'raven_incentive': 0.5,
        'max_duration': 45,
        'fixed_round_bonus': 0,
        'exp_duration': 25,
        'app_sequence': [
            'beliefs_default_manip',
            'risk_uncertainty_goodbye'
        ]
    },

    {
        'name': 'belief_beta',
        'display_name': "Belief Beta",
        'type': 'beliefs',
        'num_demo_participants': 20,
        'pilot': 0,
        'prize': 5,
        'survey_prize': 2,
        'endowment': 3,
        'machine_probability': 10,
        'use_browser_bots': True,
        # 'every_xth_person_paid': 3,
        'prob_belief_paid_out': 0.9,
        'raven_incentive': 0.5,
         'total_belief_rounds': 12,
        'max_duration': 45,
        'fixed_round_bonus': 0.2,
        'exp_duration': 25,
        'app_sequence': [
            'beliefs_main_exp',
            'beliefs_treatment',
            'survey_beliefs',
            'risk_uncertainty_goodbye'
        ]
    },

    {
        'name': 'risk_treatment_beta',
        'display_name': "Risk Treatment Beta",
        'type': 'beta',
        'pilot': 1,
        'intro_only': True,
        'num_demo_participants': 20,
        # 'every_xth_person_paid': 3,
        'raven_incentive': 0.5,
        'max_duration': 45,
        'total_lott': 14,
        'exp_duration': 25,
        'fixed_payment_per_question': 0.2,
        'survey_prize': 2,
        'fixed_round_bonus': 0.2,
        'app_sequence': [
            'risk_baseline',
            'ambiguity',
           'risk_uncertainty_goodbye'
        ],
    },

    {
        'name': 'complex_treatment',
        'display_name': "Complex Treatment",
        'type': 'risk',
        'intro_only': False,
        'treatment': False,
        'pilot': 0,
        'num_demo_participants': 20,
        # 'every_xth_person_paid': 3,
        'raven_incentive': 0.5,
        'max_duration': 45,
        'exp_duration': 25,
        'total_lott': 14,
        'use_browser_bots': True,
        'fixed_payment_per_question': 0.2,
        'survey_prize': 2,
        'fixed_round_bonus': 0.2,
        'app_sequence': [
          'risk_baseline',
           'within_subject_risk_lists',
            'survey_beliefs',
            'risk_uncertainty_goodbye',
        ],
    },

    # {
    #     'name': 'risk_baseline',
    #     'display_name': "Risk Baseline",
    #     'type': 'risk',
    #     'pilot': 1,
    #     'treatment': False,
    #     'num_demo_participants': 20,
    #     # 'every_xth_person_paid': 3,
    #     'raven_incentive': 0.2,
    #     'max_duration': 45,
    #     'exp_duration': 25,
    #     'total_lott': 12,
    #     'fixed_payment_per_question': 0.2,
    #     'survey_prize': 2,
    #     'fixed_round_bonus': 0.2,
    #     'app_sequence': [
    #         'risk_baseline',
    #         'ambiguity',
    #         'direct_elicitation_v3',
    #         'survey_beliefs',
    #         'risk_uncertainty_goodbye',
    #     ],
    # },

     {
        'name': 'risk_treatment',
        'display_name': "Risk Treatment",
        'type': 'risk',
        'pilot': 0,
        'intro_only': False,
        'treatment': False,
        'num_demo_participants': 20,
        # 'every_xth_person_paid': 3,
        'raven_incentive': 0.5,
        'max_duration': 45,
        'exp_duration': 25,
        'total_lott': 14,
        'fixed_payment_per_question': 0.2,
        'survey_prize': 2,
        'fixed_round_bonus': 0.2,
        'app_sequence': [
            'risk_baseline',
            'within_subject_risk_lists',
            'survey_beliefs',
            'risk_uncertainty_goodbye',
        ],
    },

    {
        'name': 'risk_default_manipulation',
        'display_name': "Risk Default Manipulation",
        'type': 'risk',
        'pilot': 0,
        'intro_only': False,
        'treatment': False,
        'num_demo_participants': 20,
        # 'every_xth_person_paid': 3,
        'raven_incentive': 0.5,
        'max_duration': 45,
        'exp_duration': 25,
        'total_lott': 14,
        'fixed_payment_per_question': 0.2,
        'survey_prize': 2,
        'fixed_round_bonus': 0.2,
        'app_sequence': [
            'risk_default_manip',
            'risk_uncertainty_goodbye',
        ],
    },

    {
        'name': 'amb_treatment',
        'display_name': "Ambiguity Treatment",
        'type': 'risk',
        'pilot': 1,
        'intro_only': True,
        'treatment': False,
        'num_demo_participants': 20,
        # 'every_xth_person_paid': 3,
        'raven_incentive': 0.5,
        'max_duration': 45,
        'exp_duration': 25,
        'total_lott': 14,
        'fixed_payment_per_question': 0.2,
        'survey_prize': 2,
        'fixed_round_bonus': 0.2,
        'app_sequence': [
            'risk_baseline',
            'ambiguity',
            'survey_beliefs',
            'risk_uncertainty_goodbye',
        ],
    },

   
        
]



ROOM_DEFAULTS = {}


ROOMS = [
    {
        'name': 'HamburgLab',
        'display_name': 'HamburgLab',
        'participant_label_file': 'Labor_HH.txt',
    },

]
# anything you put after the below line will override
# oTree's default settings. Use with caution.