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fleet_utilisation_speed_breakdown.py
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fleet_utilisation_speed_breakdown.py
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"""
Try me out in your browser:
[](https://mybinder.org/v2/gh/VorTECHsa/python-sdk/master?filepath=docs%2Fexamples%2Ftry_me_out%2Futilisation_speed_breakdown.ipynb)
"""
from typing import List, Union
from datetime import datetime
from vortexasdk.endpoints.breakdown_result import BreakdownResult
from vortexasdk.endpoints.endpoints import FLEET_UTILISATION_SPEED_BREAKDOWN
from vortexasdk.api import ID
from vortexasdk.operations import Search
from vortexasdk.utils import convert_to_list, sts_param_value
from vortexasdk.api.shared_types import to_ISODate
class FleetUtilisationSpeedBreakdown(Search):
"""
Please note: you will require a subscription to our Freight module to access this endpoint.
"""
def __init__(self):
Search.__init__(self, FLEET_UTILISATION_SPEED_BREAKDOWN)
def search(
self,
breakdown_frequency: str = None,
breakdown_unit: str = None,
breakdown_property: str = None,
filter_time_min: datetime = datetime(2019, 10, 1, 0),
filter_time_max: datetime = datetime(2019, 10, 1, 1),
unit: str = "b",
filter_activity: str = None,
filter_charterers: Union[ID, List[ID]] = None,
filter_destinations: Union[ID, List[ID]] = None,
filter_origins: Union[ID, List[ID]] = None,
filter_owners: Union[ID, List[ID]] = None,
filter_products: Union[ID, List[ID]] = None,
filter_vessels: Union[ID, List[ID]] = None,
filter_vessel_classes: Union[ID, List[ID]] = None,
filter_vessel_status: str = None,
filter_ship_to_ship: bool = None,
filter_charterer_exists: bool = None,
filter_vessel_age_min: int = None,
filter_vessel_age_max: int = None,
filter_vessel_dwt_min: int = None,
filter_vessel_dwt_max: int = None,
filter_vessel_scrubbers: str = "disabled",
filter_vessel_flags: Union[ID, List[ID]] = None,
filter_vessel_ice_class: Union[ID, List[ID]] = None,
filter_vessel_propulsion: Union[ID, List[ID]] = None,
exclude_origins: Union[ID, List[ID]] = None,
exclude_destinations: Union[ID, List[ID]] = None,
exclude_products: Union[ID, List[ID]] = None,
exclude_vessels: Union[ID, List[ID]] = None,
exclude_vessel_classes: Union[ID, List[ID]] = None,
exclude_charterers: Union[ID, List[ID]] = None,
exclude_owners: Union[ID, List[ID]] = None,
exclude_vessel_flags: Union[ID, List[ID]] = None,
exclude_vessel_ice_class: Union[ID, List[ID]] = None,
exclude_vessel_propulsion: Union[ID, List[ID]] = None,
) -> BreakdownResult:
"""
Average speed of vessels. For frequencies other than ‘day’, the average daily speed within that period is returned.
# Arguments
breakdown_unit: Must be one of: `'mps'`, `'kmh'`, `'kn'`.
breakdown_frequency: Must be one of: `'day'`, `'week'`, `'doe_week'`, `'month'`, `'quarter'` or `'year'`.
breakdown_property: Property on the vessel movement used to build the value of the aggregation. By default it is “quantity”. Must be one of the following: `'quantity’`, `‘vessel_class’`,
`‘vessel_flag’`, `‘origin_region’`, `‘origin_trading_region’`, `‘origin_trading_sub_region’`, `‘origin_country’`,
`‘origin_port’`, `‘origin_terminal’`, `‘destination_region’`, `‘destination_trading_region’`,
`‘destination_trading_sub_region’`, `‘destination_country’`, `‘destination_port’`, `‘destination_terminal’`,
`'product_group'`, `'product_group_product'`, `'product_category'`, `'product_grade'`.
filter_activity: Movement activity on which to base the time filter. Must be one of: `'loading_state'`,
`'loading_start'`, `'loading_end'`, `'identified_for_loading_state'`, `'unloading_state'`, `'unloading_start'`,
`'unloading_end'`, `'unloaded_state'`, `'storing_state'`, `'storing_start'`, `'storing_end'`, `'transiting_state'`,
`'any_activity'`.
filter_time_min: The UTC start date of the time filter.
filter_time_max: The UTC end date of the time filter.
unit: Unit of measurement. Enter `'b'` for barrels or `'t'` for tonnes.
filter_charterers: A charterer ID, or list of charterer IDs to filter on.
filter_destinations: A geography ID, or list of geography IDs to filter on.
filter_origins: A geography ID, or list of geography IDs to filter on.
filter_owners: An corporation ID, or list of corporation IDs to filter on.
filter_products: A product ID, or list of product IDs to filter on.
filter_vessels: A vessel ID, or list of vessel IDs to filter on.
filter_vessel_classes: A vessel class, or list of vessel classes to filter on.
filter_vessel_status: The vessel status on which to base the filter. Enter `'vessel_status_ballast'` for ballast vessels, `'vessel_status_laden_known'` for laden vessels with known cargo (i.e. a type of cargo that Vortexa currently tracks) or `'vessel_status_laden_unknown'` for laden vessels with unknown cargo (i.e. a type of cargo that Vortexa currently does not track).
filter_vessel_age_min: A number between 1 and 100 (representing years).
filter_vessel_age_max: A number between 1 and 100 (representing years).
filter_vessel_dwt_min: A number representing minimum deadweight tonnage of a vessel.
filter_vessel_dwt_max: A number representing maximum deadweight tonnage of a vessel.
filter_vessel_scrubbers: Either inactive `'disabled'`, or included `'inc'` or excluded `'exc'`.
filter_vessel_flags: A geography ID, or list of geography IDs to filter on.
filter_vessel_ice_class: An attribute ID, or list of attribute IDs to filter on.
filter_vessel_propulsion: An attribute ID, or list of attribute IDs to filter on.
exclude_origins: A geography ID, or list of geography IDs to exclude.
exclude_destinations: A geography ID, or list of geography IDs to exclude.
exclude_products: A product ID, or list of product IDs to exclude.
exclude_vessels: A vessel ID, or list of vessel IDs to exclude.
exclude_vessel_classes: A vessel class, or list of vessel classes to exclude.
exclude_charterers: A charterer ID, or list of charterer IDs to exclude.
exclude_owners: An owner ID, or list of owner IDs to exclude.
exclude_vessel_flags: A geography ID, or list of geography IDs to exclude.
exclude_vessel_ice_class: An attribute ID, or list of attribute IDs to exclude.
exclude_vessel_propulsion: An attribute ID, or list of attribute IDs to exclude.
# Returns
`BreakdownResult`
# Example
_Average daily speed by week and knots, over the last month, from Middle East to China; broken down by vessel class._
```python
>>> from vortexasdk import FleetUtilisationSpeedBreakdown
>>> from datetime import datetime
>>> search_result = FleetUtilisationSpeedBreakdown().search(
... filter_vessel_status="vessel_status_laden_known",
... filter_origins="80aa9e4f3014c3d96559c8e642157edbb2b684ea0144ed76cd20b3af75110877",
... filter_destinations="934c47f36c16a58d68ef5e007e62a23f5f036ee3f3d1f5f85a48c572b90ad8b2",
... filter_time_min=datetime(2020, 12, 19),
... filter_time_max=datetime(2021, 1, 18),
... breakdown_frequency="week",
... breakdown_property="vessel_class",
... breakdown_unit="kn")
>>> df = search_result.to_df()
```
returns
| |key |value |count | breakdown.0.value | breakdown.0.count | breakdown.0.label |
|-----:|:------------------------|:-----------------|-----------------:|------------------:|-------------------:|------------------:|
|0 |2020-12-14 00:00:00+00:00|154.99280077816653|141 | 17.5539329197942 | 3 |'qflex' |
|1 |2020-12-21 00:00:00+00:00|157.30489158419476|143.71428571428572| 17.94667624904423 | 5.142857142857143 |'qmax' |
|2 |2020-12-28 00:00:00+00:00|139.81578683072956|149.28571428571428| 15.522854583046652| 2.857142857142857 |'qflex' |
|3 |2021-01-04 00:00:00+00:00|164.77469345951883|147.85714285714286| 17.22505391874332 | 3.5714285714285716 |'qmax' |
|4 |2021-01-11 00:00:00+00:00|169.1270520125691 |142 | 16.70538969861004 | 2.5714285714285716 |'conventional' |
|5 |2021-01-18 00:00:00+00:00|162.0734332502441 |135 | 17.190140952526683| 3 |'qmax' |
"""
sts_filter = sts_param_value(filter_ship_to_ship)
crossfilters = {
"filter_ship_to_ship": sts_filter["x_filter"],
# if charterer toggle is True, apply cross filter
# else make it false
"filter_charterer_exists": filter_charterer_exists == True
}
exclude_params = {
"filter_origins": convert_to_list(exclude_origins),
"filter_destinations": convert_to_list(exclude_destinations),
"filter_products": convert_to_list(exclude_products),
"filter_vessels": convert_to_list(exclude_vessels),
"filter_vessel_classes": convert_to_list(exclude_vessel_classes),
"filter_charterers": convert_to_list(exclude_charterers),
"filter_owners": convert_to_list(exclude_owners),
"filter_vessel_flags": convert_to_list(exclude_vessel_flags),
"filter_vessel_ice_class": convert_to_list(
exclude_vessel_ice_class
),
"filter_vessel_propulsion": convert_to_list(
exclude_vessel_propulsion
),
"filter_ship_to_ship": sts_filter["exclude"]
}
api_params = {
"breakdown_frequency": breakdown_frequency,
"breakdown_unit": breakdown_unit,
"breakdown_property": breakdown_property,
"filter_activity": filter_activity,
"filter_time_min": to_ISODate(filter_time_min),
"filter_time_max": to_ISODate(filter_time_max),
"unit": unit,
"filter_charterers": convert_to_list(filter_charterers),
"filter_owners": convert_to_list(filter_owners),
"filter_destinations": convert_to_list(filter_destinations),
"filter_origins": convert_to_list(filter_origins),
"filter_products": convert_to_list(filter_products),
"filter_vessels": convert_to_list(filter_vessels),
"filter_vessel_classes": convert_to_list(filter_vessel_classes),
"filter_vessel_status": filter_vessel_status,
"filter_vessel_age_min": filter_vessel_age_min,
"filter_vessel_age_max": filter_vessel_age_max,
"filter_vessel_dwt_min": filter_vessel_dwt_min,
"filter_vessel_dwt_max": filter_vessel_dwt_max,
"filter_vessel_scrubbers": filter_vessel_scrubbers,
"filter_vessel_flags": convert_to_list(filter_vessel_flags),
"filter_vessel_ice_class": convert_to_list(
filter_vessel_ice_class
),
"filter_vessel_propulsion": convert_to_list(
filter_vessel_propulsion
),
"crossfilters": crossfilters,
"exclude": exclude_params
}
return BreakdownResult(super().search(**api_params))