/
vessel_availability_result.py
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vessel_availability_result.py
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import functools
import os
from multiprocessing.pool import Pool
from typing import List
from vortexasdk.api.vessel_availability import VesselAvailability
import pandas as pd
from vortexasdk.api.entity_flattening import convert_to_flat_dict
from vortexasdk.api.search_result import Result
from vortexasdk.result_conversions import create_dataframe, create_list
from vortexasdk.logger import get_logger
logger = get_logger(__name__)
class VesselAvailabilityResult(Result):
"""
Container class holdings search results returns from the availability endpoint.
Please note: you will require a subscription to our Freight module to access Vessel Availability.
This class has two methods, `to_list()`, and `to_df()`, allowing search results to be represented as a list of `Availability`(ies),
or as a `pd.DataFrame` , respectively.
"""
def to_list(self) -> List[VesselAvailability]:
"""Represent availability as a list."""
# noinspection PyTypeChecker
return create_list(super().to_list(), VesselAvailability)
def to_df(self, columns=None) -> pd.DataFrame:
"""
Represent availability as a `pd.DataFrame`.
# Arguments
columns: Output columns present in the `pd.DataFrame`.
Enter `columns='all'` to return all available columns.
Enter `columns=None` to use `vessel_availability_result.DEFAULT_COLUMNS`.
# Returns
`pd.DataFrame`, one row per `VesselAvailability`.
## Notes
By default, the columns returned are something along the lines of.
```python
DEFAULT_COLUMNS = [
'available_at',
'vessel_name',
'vessel_class',
'vessel_declared_destination.0.name'
'vessel_declared_destination.0.eta',
'vessel_owner_name',
'vessel_status',
'vessel_last_cargo.0.label',
'vessel_last_cargo.0.layer',
'vessel_predicted_destination.0.label',
'vessel_predicted_destination.0.layer',
]
```
The exact default columns used can be found at `vessel_availability_result.DEFAULT_COLUMNS`
A near complete list of columns is given below
```
[
'available_at',
'evaluated_at',
'last_activity',
'last_activity_at',
'vessel_class',
'vessel_declared_destination.0.name'
'vessel_declared_destination.0.eta',
'vessel_declared_destination.0.vessel_id',
'vessel_dwt',
'vessel_fixtures.0.origin',
'vessel_fixtures.0.destination',
'vessel_fixtures.0.charterer',
'vessel_fixtures.0.fixing_timestamp',
'vessel_fixtures.0.laycan_to',
'vessel_fixtures.0.laycan_from',
'vessel_id',
'vessel_last_cargo.0.id',
'vessel_last_cargo.0.label',
'vessel_last_cargo.0.layer',
'vessel_last_cargo.1.id',
'vessel_last_cargo.1.label',
'vessel_last_cargo.1.layer',
'vessel_last_cargo.2.id',
'vessel_last_cargo.2.label',
'vessel_last_cargo.2.layer',
'vessel_last_cargo.3.id',
'vessel_last_cargo.3.label',
'vessel_last_cargo.3.layer',
'vessel_location.0.id',
'vessel_location.0.label',
'vessel_location.0.layer',
'vessel_location.1.id',
'vessel_location.1.label',
'vessel_location.1.layer',
'vessel_location.2.id',
'vessel_location.2.label',
'vessel_location.2.layer',
'vessel_location.3.id',
'vessel_location.3.label',
'vessel_location.3.layer',
'vessel_location.4.id',
'vessel_location.4.label',
'vessel_location.4.layer',
'vessel_location.5.id',
'vessel_location.5.label',
'vessel_location.5.layer',
'vessel_location.6.id',
'vessel_location.6.label',
'vessel_location.6.layer',
'vessel_location.7.id',
'vessel_location.7.label',
'vessel_location.7.layer',
'vessel_location.8.id',
'vessel_location.8.label',
'vessel_location.8.layer',
'vessel_location.9.id',
'vessel_location.9.label',
'vessel_location.9.layer',
'vessel_location.10.id',
'vessel_location.10.label',
'vessel_location.10.layer',
'vessel_location.11.id',
'vessel_location.11.label',
'vessel_location.11.layer',
'vessel_location.12.id',
'vessel_location.12.label',
'vessel_location.12.layer',
'vessel_location.13.id',
'vessel_location.13.label',
'vessel_location.13.layer',
'vessel_name',
'vessel_owner_id',
'vessel_owner_name'
'vessel_predicted_destination.0.id',
'vessel_predicted_destination.0.label',
'vessel_predicted_destination.0.layer',
'vessel_predicted_destination.1.id',
'vessel_predicted_destination.1.label',
'vessel_predicted_destination.1.layer',
'vessel_predicted_destination.2.id',
'vessel_predicted_destination.2.label',
'vessel_predicted_destination.2.layer',
'vessel_predicted_destination.3.id',
'vessel_predicted_destination.3.label',
'vessel_predicted_destination.3.layer',
'vessel_predicted_destination.4.id',
'vessel_predicted_destination.4.label',
'vessel_predicted_destination.4.layer',
'vessel_predicted_destination.5.id',
'vessel_predicted_destination.5.label',
'vessel_predicted_destination.5.layer',
'vessel_predicted_destination.6.id',
'vessel_predicted_destination.6.label',
'vessel_predicted_destination.6.layer',
'vessel_predicted_destination.7.id',
'vessel_predicted_destination.7.label',
'vessel_predicted_destination.7.layer',
'vessel_predicted_destination.8.id',
'vessel_predicted_destination.8.label',
'vessel_predicted_destination.8.layer',
'vessel_predicted_destination.9.id',
'vessel_predicted_destination.9.label',
'vessel_predicted_destination.9.layer',
'vessel_predicted_destination.10.id',
'vessel_predicted_destination.10.label',
'vessel_predicted_destination.10.layer',
'vessel_predicted_destination.11.id',
'vessel_predicted_destination.11.label',
'vessel_predicted_destination.11.layer',
'vessel_predicted_destination.12.id',
'vessel_predicted_destination.12.label',
'vessel_predicted_destination.12.layer',
'vessel_predicted_destination.13.id',
'vessel_predicted_destination.13.label',
'vessel_predicted_destination.13.layer',
'vessel_status',
'vessel_year_built'
]
```
"""
if columns is None:
columns = DEFAULT_COLUMNS
logger.debug("Converting each Vessel Availability to a flat dictionary")
flatten = functools.partial(
convert_to_flat_dict, cols=columns
)
with Pool(os.cpu_count()) as pool:
records = pool.map(flatten, super().to_list())
return create_dataframe(
columns=columns,
default_columns=DEFAULT_COLUMNS,
data=records,
logger_description="VesselAvailability",
)
DEFAULT_COLUMNS = [
'available_at',
'vessel_name',
'vessel_class',
'vessel_declared_destination.0.eta',
'vessel_declared_destination.0.name',
'vessel_owner_name',
'vessel_status',
'vessel_last_cargo.0.label',
'vessel_last_cargo.0.layer',
'vessel_predicted_destination.0.label',
'vessel_predicted_destination.0.layer',
]