import os
from os import environ

import dj_database_url
from boto.mturk import qualification

import otree.settings


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'
MIGRATION_MODULES = {'otree': 'otree_core_migrations'}
NODE_TLS_REJECT_UNAUTHORIZED = '0'

# To use a database other than sqlite,
# set the DATABASE_URL environment variable.
# Examples:
# postgres://USER:PASSWORD@HOST:PORT/NAME
# mysql://USER:PASSWORD@HOST:PORT/NAME

# DATABASES = {
#     'default': dj_database_url.config(
#         default='sqlite:///' + os.path.join(BASE_DIR, 'db.sqlite3')
#     )
# }

# 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 = """
Complexity and Lottery Choice
"""

# 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 + $3.75 Bonus for Completing 20min 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': 10,
    'round_per_game': 1,
    'doc': "",
    'mturk_hit_settings': mturk_hit_settings,
    'use_browser_bots': False
}


SESSION_CONFIGS = [
    # {
    #     'name': 'da_aa',
    #     'display_name': "Game Complexity(Stage 1 - AA & DA)",
    #     'num_demo_participants': 32,
    #     'question_num': 5,
    #     'category': 'da',
    #
    #     'cu_step_size': 5,
    #     'bonus_incentive': 0.5,
    #
    #     'baseline_bonus': 20,
    #
    #     'exp_duration': 40,
    #
    #     'app_sequence': [
    #         'game_instructions_stage1',
    #         'game_stage1_twoauction'
    #     ],
    # },
    {
        'name': 'ucsb',
        'display_name': "Game Complexity (Stage 1)",
        'num_demo_participants': 30,
        'question_num': 5,
        'category': 'da',

        'cu_step_size': 5,
        'bonus_incentive': 0.5,

        'baseline_bonus': 20,

        'exp_duration': 40,

        'app_sequence': [
            'game_instructions_stage1_ucsb',
            'game_stage1_ucsb'
        ],
    },
    {
        'name': 'payment_ucsb',
        'display_name': "Payment (UCSB)",
        'num_demo_participants': 30,
        'app_sequence': [
            'payment_ucsb',
        ],
    },
    # {
    #     'name': 'stage2',
    #     'display_name': "Game Complexity(Stage 2)",
    #     'num_demo_participants': 30,
    #     'question_num': 5,
    #     'category': 'aa',
    #
    #     'cu_step_size': 5,
    #     'bonus_incentive': 0.5,
    #
    #     'baseline_bonus': 20,
    #
    #     'exp_duration': 40,
    #
    #     'app_sequence': [
    #         'game_instructions_stage2',
    #         'game_stage2'
    #     ],
    # },
    {
        'name': 'stage2_nonincentivized',
        'display_name': "Game Complexity(Stage 2 Non-incentivized)",
        'num_demo_participants': 30,
        'question_num': 5,
        'category': 'aa',

        'cu_step_size': 5,
        'bonus_incentive': 0.5,

        'baseline_bonus': 20,

        'exp_duration': 40,

        'app_sequence': [
            'game_instructions_stage2_nonincentivized',
            'game_stage2_nonincentivized'
        ],
    },
#     {
#         'name': 'stage2_nonincentivized1',
#         'display_name': "Game Complexity(Stage 2 Non-incentivized Intuitive)",
#         'num_demo_participants': 30,
#         'question_num': 5,
#         'category': 'aa',
#
#         'cu_step_size': 5,
#         'bonus_incentive': 0.5,
#
#         'baseline_bonus': 20,
#
#         'exp_duration': 40,
#
#         'app_sequence': [
#             'game_instructions_stage2_nonincentivized1',
#             'game_stage2_nonincentivized'
#         ],
#     },
# {
#         'name': 'stage2_nonincentivized2',
#         'display_name': "Game Complexity(Stage 2 Non-incentivized Probability)",
#         'num_demo_participants': 30,
#         'question_num': 5,
#         'category': 'aa',
#
#         'cu_step_size': 5,
#         'bonus_incentive': 0.5,
#
#         'baseline_bonus': 20,
#
#         'exp_duration': 40,
#
#         'app_sequence': [
#             'game_instructions_stage2_nonincentivized2',
#             'game_stage2_nonincentivized'
#         ],
#     },
#     {
#         'name': 'stage1_aa',
#         'display_name': "Game Complexity(Stage 1) - AA",
#         'num_demo_participants': 20,
#         'question_num': 5,
#         'category': 'aa',
#
#         'cu_step_size': 5,
#         'bonus_incentive': 0.5,
#
#         'baseline_bonus': 20,
#
#         'exp_duration': 35,
#
#         'app_sequence': [
#                 'game_instructions_stage1',
#                 'game_stage1'
#         ],
#     },
#     {
#         'name': 'stage1_fp',
#         'display_name': "Game Complexity(Stage 1) - FPA",
#         'num_demo_participants': 20,
#         'question_num': 5,
#         'category': 'fp',
#
#         'cu_step_size': 5,
#         'bonus_incentive': 0.5,
#
#         'baseline_bonus': 20,
#
#         'exp_duration': 35,
#
#         'app_sequence': [
#                 'game_instructions_stage1',
#                 'game_stage1'
#         ],
#     },
#     {
#         'name': 'game',
#         'display_name': "Pilot Design",
#         'num_demo_participants': 2,
#         'question_num': 5,
#
#         'cu_step_size': 5,
#         'bonus_incentive': 0.5,
#
#         'baseline_bonus': 20,
#
#         'exp_duration': 60,
#
#         'app_sequence': [
#             'game_instructions',
#             'game'
#         ],
#     },
#     {
#         'name': 'stage1_naturalistic_fp',
#         'display_name': "Game Complexity(Stage 1) - Naturalistic - FP",
#         'num_demo_participants': 20,
#         'question_num': 5,
#         'category': 'fp',
#
#         'cu_step_size': 5,
#         'bonus_incentive': 0.5,
#
#         'baseline_bonus': 20,
#
#         'exp_duration': 50,
#
#         'app_sequence': [
#                 'game_instructions_stage1',
#                 'game_stage1_naturalistic'
#         ],
#     },
#     {
#         'name': 'stage1_naturalistic_aa',
#         'display_name': "Game Complexity(Stage 1) - Naturalistic - AA",
#         'num_demo_participants': 20,
#         'question_num': 5,
#         'category': 'aa',
#
#         'cu_step_size': 5,
#         'bonus_incentive': 0.5,
#
#         'baseline_bonus': 20,
#
#         'exp_duration': 50,
#
#         'app_sequence': [
#             'game_instructions_stage1',
#             'game_stage1_naturalistic'
#         ],
#     }

]



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.
otree.settings.augment_settings(globals())



# old settings


#     {
#         'name': 'belief_formation',
#         'display_name': "Belief formation",
#         'num_demo_participants': 4,
#         'prize': 10,
#         'endowment': 3,
#         'machine_probability': 90,
#         'every_xth_person_paid': 20,
#         'prob_belief_paid_out': 1,
#         'max_duration': 45,
#         'exp_duration': 25,
#         'app_sequence': [
#             'balls_urns',
#             'base_rate_neglect',
#             'sampling_beliefs',
#             'beliefs_goodbye'
#         ],
#     },

# {
#     'name': 'brn',
#     'display_name': "BRN",
#     'num_demo_participants': 4,
#     'prize': 10,
#     'endowment': 3,
#     'machine_probability': 90,
#     'every_xth_person_paid': 20,
#     'prob_belief_paid_out': 1,
#     'max_duration': 40,
#     'exp_duration': 25,
#     'app_sequence': [
#         'base_rate_neglect',
#     ],
# },
# {
#     'name': 'sampling_beliefs',
#     'display_name': "Sampling beliefs",
#     'num_demo_participants': 4,
#     'prize': 10,
#     'endowment': 3,
#     'machine_probability': 90,
#     'every_xth_person_paid': 20,
#     'prob_belief_paid_out': 1,
#     'max_duration': 40,
#     'exp_duration': 25,
#     'app_sequence': [
#         'sampling_beliefs',
#     ],
# },

# {
#     'name': 'vignettes',
#     'display_name': "Vignettes",
#     'num_demo_participants': 15,
#     'belief_incentive': 10,
#     'incentive_penalty_divisor': 100,
#     'every_xth_person_paid': 20,
#     'prob_belief_paid_out': 0.9,
#     'max_duration': 30,
#     'exp_duration': 20,
#     'app_sequence': [
#         # 'MTURK_welcome',
#         # 'bars_MTURK_belief_elicitation',
#         # 'bars_MTURK_mult_price_list',
#         'intertemporal',
#         # 'MTURK_payoff_and_goodbye'
#     ],
# },
# {
#     'name': 'number_mapping',
#     'display_name': "Number mapping",
#     'num_demo_participants': 15,
#     'belief_incentive': 10,
#     'incentive_penalty_divisor': 100,
#     'every_xth_person_paid': 20,
#     'prob_belief_paid_out': 0.9,
#     'max_duration': 30,
#     'exp_duration': 20,
#     'app_sequence': [
#         'number_mapping'
#     ],
# },
# {
#     'name': 'price_list',
#     'display_name': "Part 1: Price Lists (only for testing)",
#     'num_demo_participants': 4,
#     'every_xth_person_paid': 30,
#     'prob_belief_paid_out': 0.8,
#     'memory_payoff': 0.5,
#     'belief_incentive': 10,
#     'max_duration': 45,
#     'exp_duration': 25,
#     'incentive_penalty_divisor': 100,
#     'app_sequence': [
#         'mult_price_list',
#     ],
# },
# {
#     'name': 'belief',
#     'display_name': "Part 2: Belief elicitation (only for testing)",
#     'num_demo_participants': 4,
#     'memory_payoff': 0.5,
#     'belief_incentive': 10,
#     'incentive_penalty_divisor': 100,
#     'app_sequence': [
#         'belief_elicitation',
#     ],
# },

# {
#     'name': 'binary_choice',
#     'display_name': "Binary choice ",
#     'num_demo_participants': 4,
#     'memory_payoff': 0.5,
#     'belief_incentive': 10,
#     'incentive_penalty_divisor': 1000,
#     'every_xth_person_paid': 20,
#     'app_sequence': [
#         'binary_choice',
#     ],
# },
#

#
# {
#     'name': 'payoff',
#     'display_name': "Payoff and Goodbye",
#     'num_demo_participants': 4,
#     'every_xth_person_paid': 30,
#     'prob_belief_paid_out': 0.8,
#     'memory_payoff': 0.5,
#     'belief_incentive': 10,
#     'incentive_penalty_divisor': 100,
#     'app_sequence': [
#         'payoff_and_goodbye',
#     ],
# },

# {
#     'name': 'redirect_external_url',
#     'display_name': "Tester: Redirect to external_url",
#     'num_demo_participants': 4,
#     'memory_payoff': 0.5,
#     'app_sequence': [
#         'direct_external_url',
#     ],
# },
# {
#     'name': 'optimization',
#     'display_name': "Optimization Games April 13",
#     'num_demo_participants': 4,
#     'endowment': 3,
#     'every_xth_person_paid': 10,
#     'raven_incentive': 0.2,
#     'max_duration': 40,
#     'exp_duration': 15,
#     'app_sequence': [
#         'optimization_games',
#         'risk_uncertainty_goodbye'
#     ],
# },
# {
#     'name': 'part_1_uncertainty_risk',
#     'display_name': "Part 1: Uncertainty risk",
#     'num_demo_participants': 4,
#     'max_duration': 40,
#     'reward_part2': 3,
#     'exp_duration': 20,
#     'app_sequence': [
#         'part1_uncertainty_risk',
#     ],
# },
########################
# Belief elicitation
########################
# {
#     'name': 'complexity_and_choice',
#     'display_name': "Full main experiment",
#     'num_demo_participants': 4,
#     'memory_payoff': 0.5,
#     'belief_incentive': 10,
#     'incentive_penalty_divisor': 100,
#     'every_xth_person_paid': 30,
#     'prob_belief_paid_out': 0.8,
#     'max_duration': 45,
#     'exp_duration': 25,
#     'app_sequence': [
#         'mult_price_list',
#         # 'binary_choice',
#         # 'load',
#         'belief_elicitation',
#         'payoff_and_goodbye'
#     ],
# },
# {
#     'name': 'mturk_with_time_limit',
#     'display_name': "MTurk with time limits",
#     'num_demo_participants': 4,
#     'belief_incentive': 10,
#     'incentive_penalty_divisor': 100,
#     'every_xth_person_paid': 20,
#     'prob_belief_paid_out': 0.9,
#     'max_duration': 30,
#     'exp_duration': 20,
#     'timeout_choice': 20,
#     'timeout_belief': 20,
#     'app_sequence': [
#         'MTURK_welcome',
#         'MTURK_belief_elicitation',
#         'MTURK_mult_price_list',
#         'MTURK_payoff_and_goodbye'
#     ],
# },
# {
#     'name': 'mturk_with_bars',
#     'display_name': "MTurk with bars",
#     'num_demo_participants': 4,
#     'belief_incentive': 10,
#     'incentive_penalty_divisor': 100,
#     'every_xth_person_paid': 20,
#     'prob_belief_paid_out': 0.9,
#     'max_duration': 40,
#     'exp_duration': 30,
#     'app_sequence': [
#         'MTURK_welcome',
#         # 'bars_MTURK_belief_elicitation',
#         'bars_MTURK_mult_price_list',
#         'intertemporal',
#         'number_mapping',
#         'MTURK_payoff_and_goodbye'
#     ],
# },
# {
#     'name': 'mental_compression',
#     'display_name': "Mental compression",
#     'num_demo_participants': 30,
#     'belief_incentive': 10,
#     'belief_penalty': 3,
#     'incentive_dots': 1,
#     'incentive_day_year': 1,
#     'every_xth_person_paid': 20,
#     'max_duration': 40,
#     'exp_duration': 30,
#     'app_sequence': [
#         # 'MTURK_welcome',
#         'risky_choice',
#         # 'intertemporal_choice',
#         # 'framing',
#         # 'number_mapping_dotcloud',
#         # 'number_mapping_day_year',
#         # 'MTURK_payoff_and_goodbye',
#     ],
# },
# {
#     'name': 'risk_part_compression',
#     'display_name': "Mental compression: Risk",
#     'num_demo_participants': 30,
#     'belief_incentive': 10,
#     'belief_penalty': 3,
#     'incentive_dots': 1,
#     'incentive_day_year': 1,
#     'every_xth_person_paid': 20,
#     'max_duration': 30,
#     'exp_duration': 15,
#     'app_sequence': [
#         'MTURK_welcome',
#         'split_dot_fraction',
#         'risk_framing_both_conditions',
#         'split_dot_fraction1',
#         'real_effort_tax',
#         'split_dot_fraction2',
#         'risky_choice',
#         'split_dot_fraction3',
#         'risky_choice20',
#         'dots_multiplication',
#         'beliefs_goodbye'
#     ],
# },
# {
#     'name': 'time_part_compression',
#     'display_name': "Mental compression: Time",
#     'num_demo_participants': 30,
#     'belief_incentive': 10,
#     'belief_penalty': 3,
#     'incentive_dots': 1,
#     'incentive_day_year': 1,
#     'every_xth_person_paid': 20,
#     'max_duration': 30,
#     'exp_duration': 15,
#     'app_sequence': [
#         'MTURK_welcome',
#         'split_dot_multiplication',
#         'time_framing_both_conditions',
#         'split_dot_multiplication1',
#         'intertemporal_choice',
#         'split_dot_multiplication2',
#         'number_mapping_day_year',
#         'beliefs_goodbye',
#     ],
# },
# {
#     'name': 'framign',
#     'display_name': "Framing tasks",
#     'num_demo_participants': 4,
#     'belief_incentive': 10,
#     'belief_penalty': 3,
#     'incentive_dots': 1,
#     'incentive_day_year': 1,
#     'every_xth_person_paid': 20,
#     'max_duration': 40,
#     'exp_duration': 30,
#     'app_sequence': [
#         # 'MTURK_welcome',
#         # 'risky_choice',
#         # 'intertemporal_choice',
#         'framing',
#         # 'number_mapping_dotcloud',
#         # 'number_mapping_day_year',
#         # 'MTURK_payoff_and_goodbye',
#     ],
# },
# {
#     'name': 'no_beliefs',
#     'display_name': "No beliefs",
#     'num_demo_participants': 4,
#     'belief_incentive': 10,
#     'incentive_penalty_divisor': 100,
#     'every_xth_person_paid': 20,
#     'prob_belief_paid_out': 1,
#     'max_duration': 40,
#     'exp_duration': 20,
#     'app_sequence': [
#         'intertemporal',
#         'number_mapping_dotcloud',
#         'number_mapping_day_year',
#     ],
# },