/
test_cargo_movements_real.py
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/
test_cargo_movements_real.py
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from datetime import datetime
from tests.testcases import TestCaseUsingRealAPI
from tests.timer import Timer
from vortexasdk import Geographies, Corporations, Products
from vortexasdk.endpoints.cargo_movements import CargoMovements
class TestCargoMovementsReal(TestCaseUsingRealAPI):
def test_default_search(self):
CargoMovements().search(filter_activity="loading_state")
def test_search_returns_unique_results(self):
result = CargoMovements().search(
filter_activity="loading_state",
filter_origins=[
"68faf65af1345067f11dc6723b8da32f00e304a6f33c000118fccd81947deb4e"
],
filter_time_min=datetime(2017, 8, 29),
filter_time_max=datetime(2017, 10, 29),
)
n_results = len(result)
n_unique_results = len(set([str(k) for k in result]))
assert n_results == n_unique_results
def test_search_single_filter_id(self):
df = (
CargoMovements()
.search(
filter_activity="loading_state",
filter_products="6f11b0724c9a4e85ffa7f1445bc768f054af755a090118dcf99f14745c261653",
filter_time_min=datetime(2019, 8, 29),
filter_time_max=datetime(2019, 8, 29, 0, 10),
)
.to_df()
.head(2)
)
assert len(df) == 2
def test_exlusion_filter(self):
arab_medium = [
p.id
for p in Products().search("Arab Medium").to_list()
if p.layer == ["grade"]
]
meg = [
g.id
for g in Geographies().search("MEG/AG").to_list()
if "trading_region" in g.layer
]
iraq = [
g.id
for g in Geographies().search("Iraq").to_list()
if "country" in g.layer
]
cols = [
"cargo_movement_id",
"vessels.0.name",
"events.cargo_port_load_event.0.location.port.id",
"events.cargo_port_load_event.0.location.port.label",
"events.cargo_port_load_event.0.location.country.id",
"events.cargo_port_load_event.0.location.country.label",
"events.cargo_port_load_event.0.start_timestamp",
"events.cargo_port_load_event.0.end_timestamp",
"product.grade.id",
"product.grade.label",
"product.group_product.label",
"parent_ids.0.id",
"parent_ids.0.splinter_timestamp",
]
df = (
CargoMovements()
.search(
filter_activity="loading_end",
filter_products=[
"54af755a090118dcf9b0724c9a4e9f14745c26165385ffa7f1445bc768f06f11"
],
filter_origins=meg,
exclude_origins=iraq[0],
exclude_products=arab_medium,
filter_time_min=datetime(2019, 10, 1),
filter_time_max=datetime(2019, 11, 1),
cm_unit="b",
)
.to_df(columns=cols)
)
df_excl = df.loc[
(
df["events.cargo_port_load_event.0.location.country.id"]
== iraq[0]
)
| (df["product.grade.id"] == arab_medium[0])
]
assert df_excl.empty
def test_to_df_all_columns(self):
df = (
CargoMovements()
.search(
filter_activity="loading_state",
filter_products="6f11b0724c9a4e85ffa7f1445bc768f054af755a090118dcf99f14745c261653",
filter_time_min=datetime(2019, 8, 29),
filter_time_max=datetime(2019, 8, 29, 0, 10),
)
.to_df(columns="all")
.head(2)
)
assert len(df) == 2
def test_timestamp_columns(self):
df = (
CargoMovements()
.search(
filter_activity="loading_state",
filter_products="6f11b0724c9a4e85ffa7f1445bc768f054af755a090118dcf99f14745c261653",
filter_time_min=datetime(2019, 8, 29),
filter_time_max=datetime(2019, 8, 29, 0, 10),
)
.to_df(columns="all")
.head(2)
)
self.assertEqual(
str(df["events.cargo_port_load_event.0.end_timestamp"].dtypes),
"datetime64[ns, UTC]",
)
self.assertEqual(
str(df["events.cargo_port_unload_event.0.end_timestamp"].dtypes),
"datetime64[ns, UTC]",
)
def test_search_single_filter_origin_name(self):
df = (
CargoMovements()
.search(
filter_activity="loading_state",
filter_origins=[
g.id
for g in Geographies().search(term="rotterdam").to_list()
if "port" in g.layer
],
filter_time_min=datetime(2019, 8, 29),
filter_time_max=datetime(2019, 8, 29, 0, 10),
)
.to_df()
.head(2)
)
assert len(df) == 2
def test_search_filters_on_timeseries_max_activity(self):
df = (
CargoMovements()
.search(
filter_activity="storing_state",
filter_time_min=datetime(2019, 8, 29),
filter_time_max=datetime(2019, 8, 29, 0, 10),
timeseries_activity_time_span_min=1000 * 60 * 60 * 24 * 14,
timeseries_activity_time_span_max=1000 * 60 * 60 * 24 * 60,
)
.to_df()
.head(2)
)
assert len(df) == 2
def test_filter_vessel_classes(self):
start = datetime(2021, 1, 1)
end = datetime(2021, 1, 11)
vlcc_plus = "vlcc_plus"
vlcc_plus_movements = (
CargoMovements()
.search(
filter_activity="loading_state",
filter_time_min=start,
filter_time_max=end,
filter_vessel_classes=[vlcc_plus],
)
.to_df()
)
all_vessel_classes_movements = (
CargoMovements()
.search(
filter_activity="loading_state",
filter_time_min=start,
filter_time_max=end,
)
.to_df()
)
assert (
all_vessel_classes_movements.shape[0]
> vlcc_plus_movements.shape[0]
)
def test_search_single_filter_owner_name(self):
df = (
CargoMovements()
.search(
filter_activity="loading_state",
filter_owners=[
c.id for c in Corporations().search(term="DHT").to_list()
],
filter_time_min=datetime(2018, 10, 12, 0),
filter_time_max=datetime(2018, 10, 13, 1),
)
.to_df()
.head(2)
)
assert len(df) == 2
def test_search_single_filter_waypoint_name(self):
df = (
CargoMovements()
.search(
filter_activity="any_activity",
filter_waypoints=[
g.id for g in Geographies().search(term="suez").to_list()
],
filter_time_min=datetime(2019, 8, 29),
filter_time_max=datetime(2019, 8, 29, 0, 10),
)
.to_df()
.head(2)
)
assert len(df) == 2
def test_search_list_filter_id(self):
df = (
CargoMovements()
.search(
filter_products=[
"6f11b0724c9a4e85ffa7f1445bc768f054af755a090118dcf99f14745c261653"
],
filter_time_min=datetime(2019, 8, 29),
filter_time_max=datetime(2019, 8, 29, 0, 10),
filter_activity="loading_state",
)
.to_df()
.head(2)
)
assert len(df) == 2
def test_search_to_list(self):
CargoMovements().search(
filter_products=[
"6f11b0724c9a4e85ffa7f1445bc768f054af755a090118dcf99f14745c261653"
],
filter_time_min=datetime(2019, 8, 29),
filter_time_max=datetime(2019, 8, 29, 0, 10),
filter_activity="loading_state",
).to_list()
def test_speed(self):
with Timer("Search") as t_search:
cms = CargoMovements().search(
filter_activity="loading_state",
filter_time_min=datetime(2019, 8, 29),
filter_time_max=datetime(2019, 8, 29, 0, 10),
)
with Timer("to_list") as t_to_list:
cms.to_list()
with Timer("df") as t_to_df:
df = cms.to_df()
# Check we load a reasonable number of cargo movements in a short enough period of time
assert len(df) > 500
assert t_search.interval < 10
assert t_to_list.interval < 10
assert t_to_df.interval < 5