def test_grout_kwargs():
sim = MonopileInstallation(config_wtiv)
sim.run()
assert "Bolt TP" in list([a["action"] for a in sim.env.actions])
sim = MonopileInstallation(config_wtiv, tp_connection_type="grouted")
sim.run()
assert "Pump TP Grout" in list([a["action"] for a in sim.env.actions])
assert "Cure TP Grout" in list([a["action"] for a in sim.env.actions])
def test_kwargs():
sim = MonopileInstallation(config_wtiv)
sim.run()
baseline = sim.total_phase_time
keywords = [
"mono_embed_len",
"mono_drive_rate",
"mono_fasten_time",
"mono_release_time",
"tp_fasten_time",
"tp_release_time",
"tp_bolt_time",
"site_position_time",
"crane_reequip_time",
"rov_survey_time",
]
failed = []
for kw in keywords:
default = pt[kw]
if kw == "mono_drive_rate":
_new = default - 2
if _new <= 0:
raise Exception(f"'{kw}' is less than 0.")
kwargs = {kw: _new}
else:
kwargs = {kw: default + 2}
new_sim = MonopileInstallation(config_wtiv, **kwargs)
new_sim.run()
new_time = new_sim.total_phase_time
if new_time > baseline:
pass
else:
failed.append(kw)
if failed:
raise Exception(f"'{failed}' not affecting results.")
else:
assert True
def test_for_complete_logging(weather, config):
sim = MonopileInstallation(config, weather=weather)
sim.run()
df = pd.DataFrame(sim.env.actions)
df = df.assign(shift=(df["time"] - df["time"].shift(1)))
for vessel in df["agent"].unique():
_df = df[df["agent"] == vessel].copy()
_df = _df.assign(shift=(_df["time"] - _df["time"].shift(1)))
assert (_df["shift"] - _df["duration"]).abs().max() < 1e-9
assert ~df["cost"].isnull().any()
_ = sim.agent_efficiencies
_ = sim.detailed_output