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cargo_movements.py
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cargo_movements.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%2Fcargo_movements.ipynb)
"""
from datetime import datetime
from typing import List, Union
from vortexasdk.api import ID
from vortexasdk.api.shared_types import to_ISODate
from vortexasdk.endpoints.cargo_movements_result import CargoMovementsResult
from vortexasdk.endpoints.endpoints import CARGO_MOVEMENTS_RESOURCE
from vortexasdk.logger import get_logger
from vortexasdk.operations import Search
from vortexasdk.utils import convert_to_list
logger = get_logger(__name__)
class CargoMovements(Search):
"""
Cargo Movements Endpoint, use this to search through Vortexa's cargo movements.
A detailed explanation of Cargo/Vessel Movements can be found [here](https://docs.vortexa.com/reference/intro-movement-difference).
"""
_MAX_PAGE_RESULT_SIZE = 500
def __init__(self):
Search.__init__(self, CARGO_MOVEMENTS_RESOURCE)
def search(
self,
filter_activity: str,
filter_time_min: datetime = datetime(2019, 10, 1, 0),
filter_time_max: datetime = datetime(2019, 10, 1, 1),
cm_unit: str = "b",
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_storage_locations: Union[ID, List[ID]] = None,
filter_ship_to_ship_locations: Union[ID, List[ID]] = None,
filter_waypoints: Union[ID, List[ID]] = None,
filter_vessel_age_min: int = None,
filter_vessel_age_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_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,
disable_geographic_exclusion_rules: bool = None,
timeseries_activity_time_span_min: int = None,
timeseries_activity_time_span_max: int = None,
) -> CargoMovementsResult:
"""
Find CargoMovements matching the given search parameters.
# Arguments
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.
cm_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 owner ID, or list of owner 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_storage_locations: A geography ID, or list of geography IDs to filter on.
filter_ship_to_ship_locations: A geography ID, or list of geography IDs to filter on.
filter_waypoints: A geography ID, or list of geography IDs to filter on.
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_scrubbers: Either inactive 'disabled', or included 'inc' or excluded 'exc'.
filter_vessel_flags: A vessel flag, or list of vessel flags 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_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.
disable_geographic_exclusion_rules: This controls a popular industry term "intra-movements" and determines
the filter behaviour for cargo leaving then entering the same geographic area.
timeseries_activity_time_span_min: The minimum amount of time in milliseconds accounted for in a time series
activity. Can be used to request long-term floating storage. For example, to only return floating storage
movements that occured for _more_ than 14 days enter
`timeseries_activity_time_span_min=1000 * 60 * 60 * 24 * 14` in conjunction with
`filter_activity='storing_state'`.
timeseries_activity_time_span_max: The maximum amount of time in milliseconds accounted for in a time series
activity. Can be used to request short-term floating storage. For example, to only return floating storage
movements that occured for _less_ than 14 days enter
`timeseries_activity_time_span_max=1000 * 60 * 60 * 24 * 14`
in conjunction with `filter_activity='storing_state'`.
# Returns
`CargoMovementsResult`, containing all the cargo movements matching the given search terms.
# Example
* _Which cargoes were loaded from Rotterdam on the morning of 1st December 2018?_
```python
>>> from vortexasdk import CargoMovements, Geographies
>>> rotterdam = [g.id for g in Geographies().search("rotterdam").to_list() if "port" in g.layer]
>>> search_result = CargoMovements().search(
... filter_origins=rotterdam,
... filter_activity='loading_state',
... filter_time_min=datetime(2018, 12, 1),
... filter_time_max=datetime(2018, 12, 1, 12))
>>> df = search_result.to_df(columns=['product.grade.label', 'product.group.label', 'vessels.0.vessel_class'])
```
| | product.group.label | product.grade.label | vessels.0.vessel_class |
|---:|:----------------------|:--------------------------------|:-------------------------|
| 0 | Clean products | Pygas | general_purpose |
| 1 | Clean products | Chemicals | tiny_tanker |
| 2 | Clean products | Chemicals | tiny_tanker |
| 3 | Dirty products | Low Sulphur VGO (LSVGO) | general_purpose |
| 4 | Clean products | ULSD (Ultra Low Sulphur Diesel) | general_purpose |
| 5 | Clean products | Chemicals | tiny_tanker |
| 6 | Clean products | Finished Gasoline | handymax |
* _Which VLCC cargoes passed through the Suez canal en route to China?_
Note here we include vessels.0..., vessels.1..., vessels.2... columns.
This lets us view all vessels present in any STS operations.
```python
>>> from vortexasdk import CargoMovements, Geographies, Vessels
>>> suez = [g.id for g in Geographies().search("suez").to_list()]
>>> china = [g.id for g in Geographies().search("china").to_list() if "country" in g.layer]
>>> vlccs = [v.id for v in Vessels().search(vessel_classes="vlcc_plus").to_list()]
>>> cargo_movement_search_result = CargoMovements().search(
... filter_destinations=china,
... filter_activity="loading_state",
... filter_waypoints=suez,
... filter_vessels=vlccs,
... filter_time_min=datetime(2018, 12, 1),
... filter_time_max=datetime(2018, 12, 1))
>>> cols = ['vessels.0.name', 'vessels.0.vessel_class', 'vessels.1.name', 'vessels.1.vessel_class', 'vessels.2.name', 'vessels.2.vessel_class', 'product.group.label', 'quantity']
>>> cargo_movements_df = cargo_movement_search_result.to_df(columns=cols)
```
| | vessels.0.name | vessels.0.vessel_class | vessels.1.name | vessels.1.vessel_class | vessels.2.name | vessels.2.vessel_class | product.group.label | quantity |
|---:|:-----------------|:-------------------------|:-----------------|:-------------------------|:-----------------|:-------------------------|:----------------------|-----------:|
| 0 | MINERVA MARINA | suezmax | COSGLORY LAKE | vlcc_plus | nan | nan | Crude | 700614 |
| 1 | BUKHA | vlcc_plus | nan | nan | nan | nan | Crude | 1896374 |
| 2 | ATHENIAN FREEDOM | vlcc_plus | nan | nan | nan | nan | Crude | 183537 |
| 3 | ATINA | suezmax | DONAT | suezmax | DS VISION | vlcc_plus | Crude | 896773 |
| 4 | MINERVA MARINA | suezmax | COSGLORY LAKE | vlcc_plus | nan | nan | Crude | 405724 |
| 5 | MASAL | suezmax | EKTA | vlcc_plus | nan | nan | Crude | 997896 |
| 6 | ATHENIAN FREEDOM | vlcc_plus | nan | nan | nan | nan | Crude | 120812 |
[Cargo Movements Endpoint Further Documentation](https://docs.vortexa.com/reference/POST/cargo-movements/search)
"""
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_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
),
}
api_params = {
"filter_activity": filter_activity,
"filter_time_min": to_ISODate(filter_time_min),
"filter_time_max": to_ISODate(filter_time_max),
"timeseries_activity_time_span_min": timeseries_activity_time_span_min,
"timeseries_activity_time_span_max": timeseries_activity_time_span_max,
"cm_unit": cm_unit,
"filter_charterers": convert_to_list(filter_charterers),
"filter_owners": convert_to_list(filter_owners),
"filter_products": convert_to_list(filter_products),
"filter_vessels": convert_to_list(filter_vessels),
"filter_destinations": convert_to_list(filter_destinations),
"filter_origins": convert_to_list(filter_origins),
"filter_storage_locations": convert_to_list(
filter_storage_locations
),
"filter_ship_to_ship_locations": convert_to_list(
filter_ship_to_ship_locations
),
"filter_waypoints": convert_to_list(filter_waypoints),
"filter_vessel_age_min": filter_vessel_age_min,
"filter_vessel_age_max": filter_vessel_age_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
),
"exclude": exclude_params,
"disable_geographic_exclusion_rules": disable_geographic_exclusion_rules,
"size": self._MAX_PAGE_RESULT_SIZE,
}
return CargoMovementsResult(super().search(**api_params))