vortexasdk.endpoints.voyages_congestion_breakdown

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VoyagesCongestionBreakdown

VoyagesCongestionBreakdown(self)

Please note: you will require a subscription to our Freight module to access this endpoint.

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VoyagesCongestionBreakdown.search(self, breakdown_property: str = 'port', breakdown_size: int = 2000, order: str = None, order_direction: str = None, time_min: datetime.datetime = datetime.datetime(2022, 1, 1, 0, 0), time_max: datetime.datetime = datetime.datetime(2022, 1, 1, 1, 0), voyage_id: Union[str, List[str]] = None, cargo_movement_id: Union[str, List[str]] = 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[str, List[str]] = None, products_excluded: Union[str, List[str]] = None, latest_products: Union[str, List[str]] = None, latest_products_excluded: Union[str, List[str]] = None, charterers: Union[str, List[str]] = None, charterers_excluded: Union[str, List[str]] = None, effective_controllers: Union[str, List[str]] = None, effective_controllers_excluded: Union[str, List[str]] = None, origins: Union[str, List[str]] = None, origins_excluded: Union[str, List[str]] = None, destinations: Union[str, List[str]] = None, destinations_excluded: Union[str, List[str]] = None, locations: Union[str, List[str]] = None, locations_excluded: Union[str, List[str]] = None, vessels: Union[str, List[str]] = None, vessels_excluded: Union[str, List[str]] = None, flags: Union[str, List[str]] = None, flags_excluded: Union[str, List[str]] = None, ice_class: Union[str, List[str]] = None, ice_class_excluded: Union[str, List[str]] = None, vessel_propulsion: Union[str, List[str]] = None, vessel_propulsion_excluded: Union[str, List[str]] = 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[vortexasdk.api.shared_types.Tag, List[vortexasdk.api.shared_types.Tag]] = None, vessels_tags_excluded: Union[vortexasdk.api.shared_types.Tag, List[vortexasdk.api.shared_types.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) -> vortexasdk.endpoints.voyages_congestion_breakdown_result.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.

>>> 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            |