'''
A place to store not used session configs
'''
SESSION_CONFIGS =[
dict(
        name='automl',
        display_name="AutoML",
        app_sequence=['automl'],
        # fragebogen ml, ],
        num_demo_participants=5,
    ),
    dict(
        name='automl_additional_treatment',
        display_name="AutoML (Zusatztreatment)",
        app_sequence=['automl_treatment2'],
        # fragebogen ml, ],
        num_demo_participants=5,
    ),
    dict(
         name='hrd',
        display_name="Human Robot Dishonesty",
         app_sequence=['hrd'],
         # fragebogen ml, ],
         num_demo_participants=5,
     ),
    dict(
        name='btae',
        display_name="Better-than-average",
        app_sequence=['btae'],
        # fragebogen ml, ],
        num_demo_participants=5,
    ),

    dict(
        name="sliders",
        display_name="Slider",
        num_demo_participants=2,
        app_sequence=["sliders"],
    ),
    dict(
        name="matrices",
        display_name="7er Zählen neu",
        num_demo_participants=10,
        app_sequence=["count_numbers_group"],
        attempts_per_puzzle=1,
        width=10,
        height=20,
        text_size=15,
        counted_char='7',
        ignored_chars='012345689',
        amount_of_counted_chars=2,
        second_time_counting=False,
    ),

    dict(
        name="tax",
        display_name="Taxevasion",
        num_demo_participants=1,
        app_sequence=["taxevasion"],
    ),
    dict(
        name="dohme",
        display_name="Dohme Lotterie",
        num_demo_participants=1,
        app_sequence=[#"sliders",
                      "dohme_lotterie"],
    ),
dict(
        name="wb",
        display_name="Whistleblowing",
        num_demo_participants=4,
        app_sequence=["baerlab_intro", "count_numbers_group", "whistleblowing", "count_numbers_group_symbolic"],
        treatment='wb',
        wb_treatment = 'Control',
        intro_for_experiment='wb',
        show_partner_page=True,
        doc='''
    Treatment can be 0 (Control) , 1 (Treatment 1) or 2(Treatment 2)
    '''
    ),
    dict(
        name='realeffort_corruption',
        display_name='real effort Korruption',
        num_demo_participants=1,
        app_sequence=[
            #'baerlab_intro',
            'corruption',
            #'dohme_lotterie'
        ],
        show_partner_page=False, ## kann weggelassen werden
        intro_for_experiment='corruption',
        treatment='real_effort',## 'endowment',
        real_world_currency_per_point=0.01
    ),
    dict(
        name='endowment_corruption',
        display_name='Endowment Korruption',
        num_demo_participants=1,
        app_sequence=[
            #'baerlab_intro',
            'corruption',
            #'dohme_lotterie'

        ],
        show_partner_page=False, ## kann weggelassen werden
        intro_for_experiment='corruption',
        treatment='endowment',
        real_world_currency_per_point=0.01
    ),
    dict(
        name="tax",
        display_name="Taxevasion",
        num_demo_participants=1,
        app_sequence=["taxevasion"],
    ),
    dict(
        name='nps',
        display_name='NPS',
        num_demo_participants=1,
        app_sequence=['nps']
    ),
    dict(
        name='sp',
        display_name='socialproximity',
        num_demo_participants=36,
        app_sequence=['social_proximity_part2'],
    ),
    dict(
        name='dates',
        display_name='Termine',
        num_demo_participants=1,
        app_sequence=['termine_harris']
    ),   dict(
        name='baerlab',
        display_name='BaerLab Intro',
        num_demo_participants=1,
        app_sequence=["baerlab_intro"],
        treatment='corruption'
        #welche welcome page
    ),
    dict(
        name="matrices",
        display_name="7er Zählen neu",
        num_demo_participants=10,
        app_sequence=["count_numbers_group"],
        attempts_per_puzzle=1,
        width=10,
        height=20,
        text_size=15,
        counted_char='←',
        ignored_chars='↔↑↓→',
        amount_of_counted_chars=2,
        second_time_counting=False,
    ),
dict(
        name='payment',
        display_name='Bankdaten',
        num_demo_participants = 1,
        app_sequence=['payment']
    ),
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="wb",
        display_name="Whistleblowing",
        num_demo_participants=4,
        app_sequence=["baerlab_intro", "count_numbers_group", "whistleblowing","count_numbers_group_symbolic", "wb_total_results", "questionnaire"],
        treatment='wb',
        wb_treatment = 'T1', # 'Control', T1' oder 'T2' eingeben für die drei Treatments
        intro_for_experiment='wb',
        show_partner_page=True,
        doc='''
        Treatment can be Control (Control) , T1 (Treatment 1) or T2(Treatment 2)
        '''
        ),
    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'],
    ),

]