import pytest import allure from datetime import datetime from assertpy import assert_that from src.helpers.utils import calc_days_ago entity_type = 'artist' input_tiktok_followers = [ (0, 1000), (1000, 5000), (5000, 10000), (10000, 25000), (25000, 50000), (50000, 100000), (100000, 500000), (500000, 1000000), (1000000, 100000000000), ] input_tiktok_min_creations = [5, 10, 25, 50, 100, 250, 500, 1000] input_tiktok_avg_duration = [ (0, 5), (5, 10), (10, 20), (20, 30), (30, 40), (40, 60), (60, 100000000000) ] input_tiktok_mentions = [ (0, 5), (5, 10), (10, 25), (25, 50), (50, 75), (75, 100000000000) ] input_tiktok_likes = [ (0, 5000), (5000, 10000), (10000, 100000), (100000, 1000000), (1000000, 5000000), (5000000, 10000000), (10000000, 100000000000), ] input_tiktok_latest_release = [7, 28, 56, 84] @allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1601") @pytest.mark.parametrize("min_val, max_val", input_tiktok_followers) def test_tiktok_followers(api, min_val, max_val): data = {"tiktok": {"min_followers": min_val, "max_followers": max_val}} entities = api.get_entities(entity_type=entity_type, discovery_data=data) for entity in entities: tested_value = float(entity['tiktok']['followers']['current_value']) api.check_entity_in_range(entity, tested_value, min_val, max_val) @allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1601") @pytest.mark.parametrize("min_val", input_tiktok_min_creations) def test_tiktok_min_creations(api, min_val): data = {"tiktok": {"min_videos": min_val}} entities = api.get_entities(entity_type=entity_type, discovery_data=data) for entity in entities: tested_value = float(entity['tiktok']['videos']['current_value']) api.check_entity_in_range(entity, tested_value, min_val) @allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1601") @pytest.mark.parametrize("min_val, max_val", input_tiktok_avg_duration) def test_tiktok_avg_duration(api, min_val, max_val): data = {"tiktok": {"min_avg_duration": min_val, "max_avg_duration": max_val}} entities = api.get_entities(entity_type=entity_type, discovery_data=data) for entity in entities: tested_value = float(entity['tiktok']['avg_duration']['current_value']) api.check_entity_in_range(entity, tested_value, min_val, max_val) @allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1601") @pytest.mark.parametrize("min_val, max_val", input_tiktok_mentions) def test_tiktok_mentions(api, min_val, max_val): data = {"tiktok": {"min_mentions": min_val, "max_mentions": max_val}} entities = api.get_entities(entity_type=entity_type, discovery_data=data) for entity in entities: tested_value = float(entity['tiktok']['mentions']['current_value']) api.check_entity_in_range(entity, tested_value, min_val, max_val) @allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1601") @pytest.mark.parametrize("min_val, max_val", input_tiktok_likes) def test_tiktok_likes(api, min_val, max_val): data = {"tiktok": {"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['tiktok']['likes']['current_value']) api.check_entity_in_range(entity, tested_value, min_val, max_val) @allure.testcase("https://data-analytics.atlassian.net/browse/DNAD-1601") @pytest.mark.parametrize("max_val", input_tiktok_latest_release) def test_tiktok_latest_release(api, max_val): data = {"tiktok": {"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['tiktok']['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-1601") def test_tiktok_chart_type(api): data = {"tiktok": {"chart_type": "LIKES"}} entities = api.get_entities(entity_type=entity_type, discovery_data=data) for entity in entities: actual_chart_type = entity['tiktok']['chart_type'] assert_that(actual_chart_type == 'likes').is_true() data = {"tiktok": {}} entities = api.get_entities(entity_type=entity_type, discovery_data=data) for entity in entities: actual_chart_type = entity['tiktok']['chart_type'] assert_that(actual_chart_type == 'followers').is_true()