from os import environ
import sys

SESSION_CONFIGS = [
    dict(
        name='payment',
        display_name='Bankdaten',
        num_demo_participants = 1,
        app_sequence=['payment']
    ),
dict(
        name='Random_Generator',
        display_name='Random_Generator',
        num_demo_participants = 1,
        app_sequence=['Random_Generator']
    ),
dict(
        name='sp',
        display_name='socialproximity',
        num_demo_participants=36,
        app_sequence=['social_proximity_part2','social_questionare'],
        treatment='sp',
        sp_treatment = 'Similar',
        intro_for_experiment='sp',
        show_partner_page=True,
        mode ='Test',
        doc='''
        Treatment can be (Similar) for Similarity, (Base)  for the Baseline.
        (Test) for showing Answers ,(Normal) for hiding asnwers
        '''

    ),

    dict(
        name='Fragebogen',
        display_name='Fragebogen WB social norms',
        num_demo_participants=1,
        app_sequence=['questionnaire'],
    ),
    dict(
        name='First_Game',
        app_sequence=['First_Game', 'Task', 'multi_select_complex'],
        num_demo_participants=2,
        treatment='FristSession',
        fs_treatment='Debug',  # 'Control'
        intro_for_experiment='fs',
        show_partner_page=True,
        min_range=100,
        max_range=200,
        doc='''
        Treatment can be (Debug) for showing solution , (Normal) solution wont be shown
        '''
     ),
    dict(
        name='automl',
        display_name='AutoML',
        num_demo_participants=5,
        app_sequence=['automl'],
    ),
    dict(
        name='automl2',
        display_name='AutoML Zusatztreatment',
        num_demo_participants=5,
        app_sequence=['automl_treatment2'],
    ),
    dict(
        name='hrd',
        display_name='Human-Robot Dishonesty',
        num_demo_participants=5,
        app_sequence=['hrd'],
    ),
    dict(
        name='btae',
        display_name='Better-than-the-Average',
        num_demo_participants=5,
        app_sequence=['btae'],
    ),
]

# 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=2.50,
    doc=""
)
POINTS_CUSTOM_NAME = 'Taler'
PARTICIPANT_FIELDS = ['count_numbers_together', 'estimate_correct','spieler','playertype','expiry'] #ob Einschätzung korrekt ist
SESSION_FIELDS = ['params', 'second_time_counting','total_donation', 'mymatrix','social_proximity_anbieter','social_proximity_kunde', 'social_proximity_anbieter_not_chosen_round1']

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

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

ROOMS = [
    dict(
        name='control',
        display_name='control',
        participant_label_file='_rooms/lab.txt',
        use_secure_urls=False
    ),
    dict(
        name='treatment',
        display_name='treatment',
        participant_label_file='_rooms/lab.txt',
        use_secure_urls=False
    )
]
# OTREE_AUTH_LEVEL = DEMO  # Set to "STUDY" for actual experiment run

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 = '6962056274088'

######################## Hiernach alles nur zum testen von einzelnen Dingen