|
| 1 | +from itertools import product |
| 2 | + |
| 3 | +from entsoe import EntsoePandasClient |
| 4 | +import pandas as pd |
| 5 | +import pytest |
| 6 | + |
| 7 | +from settings import api_key |
| 8 | + |
| 9 | + |
| 10 | +@pytest.fixture |
| 11 | +def client(): |
| 12 | + yield EntsoePandasClient(api_key=api_key) |
| 13 | + |
| 14 | + |
| 15 | +@pytest.fixture |
| 16 | +def start(): |
| 17 | + return pd.Timestamp("20171201", tz="Europe/Brussels") |
| 18 | + |
| 19 | + |
| 20 | +@pytest.fixture |
| 21 | +def end(): |
| 22 | + return pd.Timestamp("20180101", tz="Europe/Brussels") |
| 23 | + |
| 24 | + |
| 25 | +@pytest.fixture |
| 26 | +def country_code(): |
| 27 | + return "BE" # Belgium |
| 28 | + |
| 29 | + |
| 30 | +@pytest.fixture |
| 31 | +def country_code_from(): |
| 32 | + return "FR" # France |
| 33 | + |
| 34 | + |
| 35 | +@pytest.fixture |
| 36 | +def country_code_to(): |
| 37 | + return "DE_LU" # Germany-Luxembourg |
| 38 | + |
| 39 | + |
| 40 | +STARTS = [pd.Timestamp("20171201", tz="Europe/Brussels")] |
| 41 | +ENDS = [pd.Timestamp("20180101", tz="Europe/Brussels")] |
| 42 | +COUNTRY_CODES = ["BE"] # Belgium |
| 43 | +COUNTRY_CODES_FROM = ["FR"] # France |
| 44 | +COUNTRY_CODES_TO = ["DE_LU"] # Germany-Luxembourg |
| 45 | + |
| 46 | +BASIC_QUERIES_SERIES = [ |
| 47 | + "query_day_ahead_prices", |
| 48 | + "query_net_position_dayahead", |
| 49 | + "query_load", |
| 50 | + "query_load_forecast", |
| 51 | +] |
| 52 | + |
| 53 | +BASIC_QUERIES_DATAFRAME = [ |
| 54 | + "query_wind_and_solar_forecast", |
| 55 | + "query_generation_forecast", |
| 56 | + "query_generation", |
| 57 | + "query_generation_per_plant", |
| 58 | + "query_installed_generation_capacity", |
| 59 | + "query_installed_generation_capacity_per_unit", |
| 60 | + "query_imbalance_prices", |
| 61 | + "query_withdrawn_unavailability_of_generation_units", |
| 62 | + "query_unavailability_of_generation_units", |
| 63 | + "query_unavailability_of_production_units", |
| 64 | + "query_import", |
| 65 | + "query_generation_import", |
| 66 | +] |
| 67 | + |
| 68 | +CROSSBORDER_QUERIES = [ |
| 69 | + "query_crossborder_flows", |
| 70 | + "query_scheduled_exchanges", |
| 71 | + "query_net_transfer_capacity_dayahead", |
| 72 | + "query_net_transfer_capacity_weekahead", |
| 73 | + "query_net_transfer_capacity_monthahead", |
| 74 | + "query_net_transfer_capacity_yearahead", |
| 75 | + "query_intraday_offered_capacity", |
| 76 | +] |
| 77 | + |
| 78 | +# pandas.Series |
| 79 | + |
| 80 | +@pytest.mark.parametrize( |
| 81 | + "country_code, start, end, query", |
| 82 | + product(COUNTRY_CODES, STARTS, ENDS, BASIC_QUERIES_SERIES), |
| 83 | +) |
| 84 | +def test_basic_queries_series(client, query, country_code, start, end): |
| 85 | + result = getattr(client, query)(country_code, start=start, end=end) |
| 86 | + assert not result.empty |
| 87 | + |
| 88 | + |
| 89 | +@pytest.mark.parametrize( |
| 90 | + "country_code_from, country_code_to, start, end, query", |
| 91 | + product(COUNTRY_CODES_FROM, COUNTRY_CODES_TO, STARTS, ENDS, CROSSBORDER_QUERIES), |
| 92 | +) |
| 93 | +def test_crossborder_queries( |
| 94 | + client, query, country_code_from, country_code_to, start, end |
| 95 | +): |
| 96 | + result = getattr(client, query)(country_code_from, country_code_to, start=start, end=end) |
| 97 | + assert not result.empty |
| 98 | + |
| 99 | +# pandas.DataFrames |
| 100 | + |
| 101 | +@pytest.mark.parametrize( |
| 102 | + "country_code, start, end, query", |
| 103 | + product(COUNTRY_CODES, STARTS, ENDS, BASIC_QUERIES_DATAFRAME), |
| 104 | +) |
| 105 | +def test_basic_queries_dataframe(client, query, country_code, start, end): |
| 106 | + result = getattr(client, query)(country_code, start=start, end=end) |
| 107 | + assert not result.empty |
| 108 | + |
| 109 | + |
| 110 | +def test_query_contracted_reserve_prices(client, country_code, start, end): |
| 111 | + type_marketagreement_type = "A01" |
| 112 | + result = client.query_contracted_reserve_prices( |
| 113 | + country_code, start=start, end=end, type_marketagreement_type=type_marketagreement_type |
| 114 | + ) |
| 115 | + assert not result.empty |
| 116 | + |
| 117 | + |
| 118 | +def test_query_contracted_reserve_amount(client, country_code, start, end): |
| 119 | + type_marketagreement_type = "A01" |
| 120 | + result = client.query_contracted_reserve_amount( |
| 121 | + country_code, start=start, end=end, type_marketagreement_type=type_marketagreement_type |
| 122 | + ) |
| 123 | + assert not result.empty |
| 124 | + |
| 125 | + |
| 126 | +def test_query_unavailability_transmission(client, country_code_from, country_code_to, start, end): |
| 127 | + result = client.query_unavailability_transmission( |
| 128 | + country_code_from, country_code_to, start=start, end=end |
| 129 | + ) |
| 130 | + assert not result.empty |
| 131 | + |
| 132 | + |
| 133 | +def test_query_procured_balancing_capacity_process_type_not_allowed(client, country_code, start, end): |
| 134 | + process_type = "A01" |
| 135 | + with pytest.raises(ValueError): |
| 136 | + client.query_procured_balancing_capacity( |
| 137 | + country_code, start=start, end=end, process_type=process_type |
| 138 | + ) |
| 139 | + |
| 140 | + |
| 141 | +def test_query_procured_balancing_capacity(client, country_code, start, end): |
| 142 | + process_type = "A47" |
| 143 | + result = client.query_procured_balancing_capacity( |
| 144 | + country_code, start=start, end=end, process_type=process_type |
| 145 | + ) |
| 146 | + assert not result.empty |
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