import pytest
import allure
from datetime import datetime
from assertpy import assert_that

from src.helpers.utils import calc_days_ago

entity_type = 'track'
input_youtube_min_videos = [1, 2, 5, 10, 25]
input_youtube_views = [
    (0, 1000),
    (1000, 5000),
    (5000, 10000),
    (10000, 25000),
    (25000, 50000),
    (50000, 100000),
    (100000, 500000),
    (500000, 1000000),
    (1000000, 100000000000),
]
input_youtube_likes = [
    (0, 1000),
    (1000, 5000),
    (5000, 10000),
    (10000, 50000),
    (50000, 100000),
    (100000, 200000),
    (200000, 500000),
    (500000, 1000000),
    (1000000, 100000000000),
]
input_youtube_comments = [
    (0, 10),
    (10, 50),
    (50, 100),
    (100, 500),
    (500, 1000),
    (1000, 5000),
    (5000, 100000000000),
]
input_youtube_latest_release = [7, 28, 56, 84]


@allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1606")
@pytest.mark.parametrize("min_val", input_youtube_min_videos)
def test_youtube_min_videos(api, min_val):
    data = {"youtube": {"min_videos": min_val}}
    entities = api.get_entities(entity_type=entity_type, discovery_data=data)
    for entity in entities:
        tested_value = float(entity['youtube']['videos']['current_value'])
        api.check_entity_in_range(entity, tested_value)


@allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1606")
@pytest.mark.parametrize("min_val, max_val", input_youtube_views)
def test_youtube_views(api, min_val, max_val):
    data = {"youtube": {"min_views": min_val, "max_views": max_val}}
    entities = api.get_entities(entity_type=entity_type, discovery_data=data)
    for entity in entities:
        tested_value = float(entity['youtube']['views']['current_value'])
        api.check_entity_in_range(entity, tested_value, min_val, max_val)


@allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1606")
@pytest.mark.parametrize("min_val, max_val", input_youtube_likes)
def test_youtube_likes(api, min_val, max_val):
    data = {"youtube": {"min_likes": min_val, "max_likes": max_val}}
    entities = api.get_entities(entity_type=entity_type, discovery_data=data)
    for entity in entities:
        tested_value = float(entity['youtube']['likes']['current_value'])
        api.check_entity_in_range(entity, tested_value, min_val, max_val)


@allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1606")
@pytest.mark.parametrize("min_val, max_val", input_youtube_comments)
def test_youtube_likes(api, min_val, max_val):
    data = {"youtube": {"min_comments": min_val, "max_comments": max_val}}
    entities = api.get_entities(entity_type=entity_type, discovery_data=data)
    for entity in entities:
        tested_value = float(entity['youtube']['comments']['current_value'])
        api.check_entity_in_range(entity, tested_value, min_val, max_val)


@allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1606")
@pytest.mark.parametrize("max_val", input_youtube_latest_release)
def test_youtube_latest_release(api, max_val):
    data = {"youtube": {"min_latest_release_days": max_val}}
    entities = api.get_entities(entity_type=entity_type, discovery_data=data)
    for entity in entities:
        latest_release_date = entity['youtube']['latest_release_date']
        days_ago = calc_days_ago(latest_release_date, '%Y-%m-%d')
        tested_value = float(days_ago)
        api.check_entity_in_range(entity, tested_value, max_val=max_val)


@allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1606")
def test_youtube_chart_type(api):
    data = {"youtube": {"chart_type": "VIEWS"}}
    entities = api.get_entities(entity_type=entity_type, discovery_data=data)
    for entity in entities:
        actual_chart_type = entity['youtube']['chart_type']
        assert_that(actual_chart_type == 'views').is_true()

    data = {"youtube": {}}
    entities = api.get_entities(entity_type=entity_type, discovery_data=data)
    for entity in entities:
        actual_chart_type = entity['youtube']['chart_type']
        assert_that(actual_chart_type == 'likes').is_true()