/
voyages_congestion_breakdown.py
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/
voyages_congestion_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%2Fvoyages_congestion_breakdown.ipynb)
"""
from datetime import datetime
from typing import Any, Dict, List, Union
from vortexasdk.api import ID
from vortexasdk.api.shared_types import Tag, to_ISODate
from vortexasdk.endpoints.endpoints import VOYAGES_CONGESTION_BREAKDOWN
from vortexasdk.endpoints.voyages_congestion_breakdown_result import (
CongestionBreakdownResult,
)
from vortexasdk.operations import Search
from vortexasdk.utils import convert_to_list
class VoyagesCongestionBreakdown(Search):
"""
Please note: you will require a subscription to our Freight module to access this endpoint.
"""
def __init__(self):
Search.__init__(self, VOYAGES_CONGESTION_BREAKDOWN)
# noinspection PyUnresolvedReferences
def search(
self,
breakdown_property: str = "port",
breakdown_size: int = 2000,
order: str = None,
order_direction: str = None,
time_min: datetime = datetime(2022, 1, 1, 0),
time_max: datetime = datetime(2022, 1, 1, 1),
voyage_id: Union[ID, List[ID]] = None,
cargo_movement_id: Union[ID, List[ID]] = None,
voyage_status: Union[str, List[str]] = None,
voyage_status_excluded: Union[str, List[str]] = None,
movement_status: Union[str, List[str]] = None,
movement_status_excluded: Union[str, List[str]] = None,
cargo_status: Union[str, List[str]] = None,
cargo_status_excluded: Union[str, List[str]] = None,
location_status: Union[str, List[str]] = None,
location_status_excluded: Union[str, List[str]] = None,
commitment_status: Union[str, List[str]] = None,
commitment_status_excluded: Union[str, List[str]] = None,
exclude_overlapping_entries: bool = None,
products: Union[ID, List[ID]] = None,
products_excluded: Union[ID, List[ID]] = None,
latest_products: Union[ID, List[ID]] = None,
latest_products_excluded: Union[ID, List[ID]] = None,
charterers: Union[ID, List[ID]] = None,
charterers_excluded: Union[ID, List[ID]] = None,
effective_controllers: Union[ID, List[ID]] = None,
effective_controllers_excluded: Union[ID, List[ID]] = None,
origins: Union[ID, List[ID]] = None,
origins_excluded: Union[ID, List[ID]] = None,
destinations: Union[ID, List[ID]] = None,
destinations_excluded: Union[ID, List[ID]] = None,
locations: Union[ID, List[ID]] = None,
locations_excluded: Union[ID, List[ID]] = None,
vessels: Union[ID, List[ID]] = None,
vessels_excluded: Union[ID, List[ID]] = None,
flags: Union[ID, List[ID]] = None,
flags_excluded: Union[ID, List[ID]] = None,
ice_class: Union[ID, List[ID]] = None,
ice_class_excluded: Union[ID, List[ID]] = None,
vessel_propulsion: Union[ID, List[ID]] = None,
vessel_propulsion_excluded: Union[ID, List[ID]] = None,
vessel_age_min: int = None,
vessel_age_max: int = None,
vessel_dwt_min: int = None,
vessel_dwt_max: int = None,
vessel_wait_time_min: int = None,
vessel_wait_time_max: int = None,
vessel_scrubbers: str = None,
vessels_tags: Union[Tag, List[Tag]] = None,
vessels_tags_excluded: Union[Tag, List[Tag]] = None,
vessel_risk_level: Union[str, List[str]] = None,
vessel_risk_level_excluded: Union[str, List[str]] = None,
has_ship_to_ship: bool = None,
has_charterer: bool = None,
) -> CongestionBreakdownResult:
"""
Returns a count of congested voyages aggregated by congestion location.
# Arguments
breakdown_size: Number of top records to return.
breakdown_property: Property to aggregate upon. Can be one of: `'port'`, `'shipping_region'`, `'terminal'`.
time_min: The UTC start date of the time filter.
time_max: The UTC end date of the time filter.
voyage_id: An array of unique voyage ID(s) to filter on.
cargo_movement_id: An array of unique cargo movement ID(s) to filter on.
voyage_status: A voyage status, or list of voyage statuses to filter on. Can be one of: `'ballast'`, `'laden'`.
voyage_status_excluded: A voyage status, or list of voyage statuses to exclude.
movement_status: A movement status, or list of movement statuses to filter on. Can be one of: `'moving'`, `'stationary'`, `'waiting'`, `'congestion'`, `'slow'`.
movement_status_excluded: A movement status, or list of movement statuses to exclude.
cargo_status: A cargo status, or list of cargo statuses to filter on. Can be one of: `'in-transit'`, `'floating-storage'`, `'loading'`, `'discharging'`.
cargo_status_excluded: A cargo status, or list of cargo statuses to exclude.
location_status: A location status, or list of location statuses to filter on. Can be one of: `'berth'`, `'anchorage-zone'`, `'dry-dock'`, `'on-the-sea'`.
location_status_excluded: A location status, or list of location statuses to exclude.
commitment_status: A commitment status, or list of commitment statuses to filter on. Can be one of: `'committed'`, `'uncommitted'`, `'open'`, `'unknown'`.
commitment_status_excluded: A commitment status, or list of commitment statuses to exclude.
exclude_overlapping_entries: A boolean to only consider the latest voyage in days where two or more Voyages overlap.
products: A product ID, or list of product IDs to filter on.
products_excluded: A product ID, or list of product IDs to exclude.
latest_products: A product ID, or list of product IDs of the latest cargo on board to filter on.
latest_products_excluded: A product ID, or list of product IDs of the latest cargo on board to exclude.
charterers: A charterer ID, or list of charterer IDs to filter on.
charterers_excluded: A charterer ID, or list of charterer IDs to exclude.
effective_controllers: A vessel owner ID, or list of vessel owner IDs to filter on.
effective_controllers_excluded: A vessel owner ID, or list of vessel owner IDs to exclude.
origins: An origin ID, or list of origin IDs to filter on.
origins_excluded: An origin ID, or list of origin IDs to exclude.
destinations: A destination ID, or list of destination IDs to filter on.
destinations_excluded: A destination ID, or list of destination IDs to exclude.
locations: A location ID, or list of location IDs to filter on.
locations_excluded: A location ID, or list of location IDs to exclude.
vessels: A vessel ID or vessel class, or list of vessel IDs/vessel classes to filter on.
vessels_excluded: A vessel ID or vessel class, or list of vessel IDs/vessel classes to exclude.
flags: A flag, or list of flags to filter on.
flags_excluded: A flag, or list of flags to exclude.
ice_class: An ice class, or list of ice classes to filter on.
ice_class_excluded: An ice class, or list of ice classes to ęxclude.
vessel_propulsion: A propulsion method, or list of propulsion methods to filter on.
vessel_propulsion_excluded: A propulsion method, or list of propulsion methods to ęxclude.
vessel_age_min: A number between 1 and 100 (representing years).
vessel_age_max: A number between 1 and 100 (representing years).
vessel_dwt_min: A number representing minimum deadweight tonnage of a vessel.
vessel_dwt_max: A number representing maximum deadweight tonnage of a vessel.
vessel_wait_time_min: A number representing a minimum number of days until a vessel becomes available.
vessel_wait_time_max: A number representing a maximum number of days until a vessel becomes available.
vessel_scrubbers: Either inactive 'disabled', or included 'inc' or excluded 'exc'.
vessels_tags: A time bound vessel tag, or list of time bound vessel tags to filter on.
vessels_tags_excluded: A time bound vessel tag, or list of time bound vessel tags to exclude.
vessel_risk_level: A vessel risk level, or list of vessel risk levels to filter on.
vessel_risk_level_excluded: A vessel risk level, or list of vessel risk levels to exclude.
has_ship_to_ship: A boolean to show data where at least one STS transfer occurs.
has_charterer: A boolean to show data where at least one charterer is specified.
order: Used to sort the returned results. Can be one of: `'location'`, `'avg_wait'`, `'dwt'`, `'capacity'`, `'count'`.
order_direction: Determines the direction of sorting. ‘asc’ for ascending, ‘desc’ for
descending.
# Returns
`CongestionBreakdownResult`
# Example
_Stats for vessels in congestion on 26th April 2022 split by shipping region._
```python
>>> from vortexasdk import VoyagesCongestionBreakdown
>>> from datetime import datetime
>>> search_result = VoyagesCongestionBreakdown().search(
... time_min=datetime(2022, 4, 26),
... time_max=datetime(2022, 4, 26, 23, 59),
... movement_status="congestion",
... breakdown_property="shipping_region",
... breakdown_size=2,
... ).to_df()
```
Gives the following result:
```
| | avg_waiting_time | vessel_dwt | vessel_cubic_capacity | vessel_count | cargo_quantity | avg_waiting_time_laden | vessel_dwt_laden | vessel_cubic_capacity_laden | vessel_count_laden | avg_waiting_time_ballast | vessel_dwt_ballast | vessel_cubic_capacity_ballast | vessel_count_ballast | location_details.0.label |
|---:|-------------------:|-------------:|------------------------:|---------------:|-----------------:|-------------------------:|-------------------:|------------------------------:|---------------------:|---------------------------:|---------------------:|--------------------------------:|-----------------------:|:---------------------------|
| 0 | 0 | 9199789 | 10271697 | 353 | 320829 | 0 | 7104725 | 7943428 | 161 | 0 | 2095064 | 2328269 | 192 | East Asia |
| 1 | 0 | 6415240 | 7241430 | 248 | 106209 | 0 | 3392911 | 3815449 | 126 | 0 | 3022329 | 3425981 | 122 | South East Asia |
```
"""
api_params: Dict[str, Any] = {
"voyage_id": convert_to_list(voyage_id),
"cargo_movement_id": convert_to_list(cargo_movement_id),
"voyage_status": convert_to_list(voyage_status),
"cargo_status": convert_to_list(cargo_status),
"location_status": convert_to_list(location_status),
"commitment_status": convert_to_list(commitment_status),
"movement_status": convert_to_list(movement_status),
"products": convert_to_list(products),
"latest_products": convert_to_list(latest_products),
"charterers": convert_to_list(charterers),
"effective_controllers": convert_to_list(effective_controllers),
"origins": convert_to_list(origins),
"destinations": convert_to_list(destinations),
"locations": convert_to_list(locations),
"flags": convert_to_list(flags),
"ice_class": convert_to_list(ice_class),
"vessel_propulsion": convert_to_list(vessel_propulsion),
"vessels": convert_to_list(vessels),
"vessels_tags": convert_to_list(vessels_tags),
"vessel_risk_level": convert_to_list(vessel_risk_level),
"vessel_age_min": vessel_age_min,
"vessel_age_max": vessel_age_max,
"vessel_dwt_min": vessel_dwt_min,
"vessel_dwt_max": vessel_dwt_max,
"vessel_wait_time_min": vessel_wait_time_min,
"vessel_wait_time_max": vessel_wait_time_max,
"vessel_scrubbers": vessel_scrubbers,
"has_charterer": has_charterer,
"has_ship_to_ship": has_ship_to_ship,
"exclude_overlapping_entries": exclude_overlapping_entries,
"time_max": to_ISODate(time_max) if time_max else None,
"time_min": to_ISODate(time_min) if time_min else None,
"breakdown_property": breakdown_property,
"breakdown_size": breakdown_size,
"voyage_status_excluded": convert_to_list(voyage_status_excluded),
"cargo_status_excluded": convert_to_list(cargo_status_excluded),
"location_status_excluded": convert_to_list(
location_status_excluded
),
"commitment_status_excluded": convert_to_list(
commitment_status_excluded
),
"movement_status_excluded": convert_to_list(
movement_status_excluded
),
"products_excluded": convert_to_list(products_excluded),
"latest_products_excluded": convert_to_list(
latest_products_excluded
),
"charterers_excluded": convert_to_list(charterers_excluded),
"effective_controllers_excluded": convert_to_list(
effective_controllers_excluded
),
"origins_excluded": convert_to_list(origins_excluded),
"destinations_excluded": convert_to_list(destinations_excluded),
"locations_excluded": convert_to_list(locations_excluded),
"flags_excluded": convert_to_list(flags_excluded),
"ice_class_excluded": convert_to_list(ice_class_excluded),
"vessel_propulsion_excluded": convert_to_list(
vessel_propulsion_excluded
),
"vessels_excluded": convert_to_list(vessels_excluded),
"vessels_tags_excluded": convert_to_list(vessels_tags_excluded),
"vessel_risk_level_excluded": convert_to_list(
vessel_risk_level_excluded
),
"order": order,
"order_direction": order_direction,
}
response = super().search_with_client(**api_params)
return CongestionBreakdownResult(
records=response["data"], reference=response["reference"]
)