/
voyages_timeseries.py
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/
voyages_timeseries.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_timeseries.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_TIMESERIES
from vortexasdk.endpoints.timeseries_result import TimeSeriesResult
from vortexasdk.operations import Search
from vortexasdk.utils import convert_to_list
class VoyagesTimeseries(Search):
"""
Please note: you will require a subscription to our Freight module to access this endpoint.
"""
def __init__(self):
Search.__init__(self, VOYAGES_TIMESERIES)
# noinspection PyUnresolvedReferences
def search(
self,
breakdown_frequency: str = None,
breakdown_property: str = None,
breakdown_split_property: str = None,
breakdown_unit_operator: 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,
congestion_target_location: Union[str, List[str]] = None,
congestion_target_location_excluded: Union[str, List[str]] = 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_cbm_min: int = None,
vessel_cbm_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: str = None,
has_charterer: str = None,
) -> TimeSeriesResult:
"""
Returns a count of voyages per record for the requested date period
# Arguments
breakdown_frequency: Frequency denoting the granularity of the time series. Must be one of the following: `'day'`, `'week'`, `'doe_week'`, `'month'`, `'quarter'`, `'year'`.
breakdown_property: Property to aggregate upon. Can be one of: `'vessel_count'`, `'utilisation'`, `'cargo_quantity'`, `'avg_wait_time'`,`'dwt'`, `'cubic_capacity'`,
`'tonne_miles'`, `'avg_distance'`, `'avg_speed'`.
breakdown_split_property: Property to split results by. Can be one of: `'vessel_status'`, `'vessel_class_group'`, `'vessel_class_coarse'`, `'vessel_class_granular'`, `'vessel_flag'`,`'fixture_status'`, `'origin_region'`,
`'origin_shipping_region'`,`'origin_trading_region'`,`'origin_trading_sub_region'`,`'origin_trading_block'`,`'origin_country'`,`'origin_port'`,
`'origin_terminal'`,`'destination_region'`,`'destination_shipping_region'`,`'destination_trading_region'`,`'destination_trading_sub_region'`,`'destination_trading_block'`,
`'destination_country'`,`'destination_port'`,`'destination_terminal'`,`'location_port'`,`'location_country'`,`'location_shipping_region'`,
`'congestion_location_port'`,`'congestion_location_country'`,`'congestion_location_shipping_region'`,`'product_group'`,`'product_group_product'`,`'product_category'`, `'product_grade'`,
`'charterer'`, `'effective_controller'`, `'none'` or not provided.
breakdown_unit_operator: Denotes the type of the aggregation calculation. Can be one of `'sum'` or `'avg'`.
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 effective controller ID, or list of vessel effective controller IDs to filter on.
effective_controllers_excluded: A effective controller ID, or list of effective controller IDs to exclude.
origins: An origin ID, or list of origin IDs for all the cargoes of a voyage to filter on.
origins_excluded: An origin ID, or list of origin IDs for all the cargoes of a voyage to exclude.
destinations: A destination ID, or list of destination IDs for all the cargoes of a voyage to filter on.
destinations_excluded: A destination ID, or list of destination IDs for all the cargoes of a voyage 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.
congestion_target_location: A congestion location ID, or list of congestion location IDs to filter on.
congestion_target_location_excluded: A congestion location ID, or list of congestion 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_cbm_min: A number representing minimum cubic capacity of a vessel.
vessel_cbm_max: A number representing maximum cubic capacity 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: Filter data where at least one STS transfer occurs, or none. - one of: `'disabled'`, `'inc'`, `'exc'`. Passing disabled means the filter is not active.
has_charterer: Filter data where at least one charterer is specified, or none. - one of: `'disabled'`, `'inc'`, `'exc'`. Passing disabled means the filter is not active.
# Returns
`BreakdownResult`
# Example
_Sum of vessels departing from Ukraine between 1th-3rd Febuary 2024, split by location country._
```python
>>> from vortexasdk import VoyagesTimeseries
>>> from datetime import datetime
>>> search_result = VoyagesTimeseries().search(
... origins=["c4b606ff15bd9b86"],
... time_min=datetime(2024, 2, 1),
... time_max=datetime(2024, 2, 3, 23, 59),
... breakdown_frequency="day",
... breakdown_property="vessel_count",
... breakdown_split_property="location_country",
... ).to_df()
```
Gives the following result:
```
| | key | value | count | breakdown.0.id | breakdown.0.label | breakdown.0.count | breakdown.0.value | breakdown.1.id | breakdown.1.label | breakdown.1.count | breakdown.1.value | breakdown.2.id | breakdown.2.label | breakdown.2.count | breakdown.2.value | breakdown.3.id | breakdown.3.label | breakdown.3.count | breakdown.3.value | breakdown.4.id | breakdown.4.label | breakdown.4.count | breakdown.4.value | breakdown.5.id | breakdown.5.label | breakdown.5.count | breakdown.5.value | breakdown.6.id | breakdown.6.label | breakdown.6.count | breakdown.6.value | breakdown.7.id | breakdown.7.label | breakdown.7.count | breakdown.7.value | breakdown.8.id | breakdown.8.label | breakdown.8.count | breakdown.8.value | breakdown.9.id | breakdown.9.label | breakdown.9.count | breakdown.9.value | breakdown.10.id | breakdown.10.label | breakdown.10.count | breakdown.10.value | breakdown.11.id | breakdown.11.label | breakdown.11.count | breakdown.11.value | breakdown.12.id | breakdown.12.label | breakdown.12.count | breakdown.12.value | breakdown.13.id | breakdown.13.label | breakdown.13.count | breakdown.13.value |
|---:|:--------------------------|--------:|--------:|:-----------------|:--------------------|--------------------:|--------------------:|:-----------------|:--------------------|:--------------------|:--------------------|:-----------------|:--------------------|--------------------:|--------------------:|:-----------------|:--------------------|--------------------:|--------------------:|:-----------------|:--------------------|--------------------:|--------------------:|:-----------------|:--------------------|--------------------:|--------------------:|:-----------------|:--------------------|--------------------:|--------------------:|:-----------------|:--------------------|--------------------:|--------------------:|:-----------------|:--------------------|--------------------:|--------------------:|:-----------------|:--------------------|--------------------:|--------------------:|:------------------|:---------------------|---------------------:|---------------------:|:------------------|:---------------------|---------------------:|---------------------:|:------------------|:---------------------|---------------------:|---------------------:|:------------------|:---------------------|---------------------:|---------------------:|
| 0 | 2024-02-01 00:00:00+00:00 | 16 | 16 | a398152fa8e559b0 | Bulgaria | 2 | 2 | 3eac69e760d9ec57 | Egypt | 2 | 1 | e9e556620469f46a | France | 1 | 1 | b6be463f6999751d | Greece | 8 | 3 | ee1de4914cc26e8f | Italy | 4 | 2 | 82a6dd5bf8dfb66a | Libya | 1 | 1 | 80dd61da7ce1edcc | Malta | 5 | 3 | 8c6dfac15afa6dca | Portugal | 1 | 1 | 65ab749279c8fbe6 | Romania | 6 | 4 | c1698979b983b265 | Spain | 2 | 2 | 03b07ca887edb311 | Tunisia | 5 | 2 | 69c53542ac9ee1fc | Turkey | 17 | 7 | c4b606ff15bd9b86 | Ukraine | 12 | 3 | 2aaad41b89dfad19 | United Kingdom | 1 | 1 |
| 1 | 2024-02-02 00:00:00+00:00 | 16 | 16 | a398152fa8e559b0 | Bulgaria | 2 | 2 | 3eac69e760d9ec57 | Egypt | 2 | 1 | e9e556620469f46a | France | 1 | 1 | b6be463f6999751d | Greece | 8 | 3 | ee1de4914cc26e8f | Italy | 4 | 2 | 82a6dd5bf8dfb66a | Libya | 1 | 1 | 80dd61da7ce1edcc | Malta | 5 | 3 | 8c6dfac15afa6dca | Portugal | 1 | 1 | 65ab749279c8fbe6 | Romania | 6 | 4 | c1698979b983b265 | Spain | 2 | 2 | 03b07ca887edb311 | Tunisia | 5 | 2 | 69c53542ac9ee1fc | Turkey | 17 | 7 | c4b606ff15bd9b86 | Ukraine | 12 | 3 | 2aaad41b89dfad19 | United Kingdom | 1 | 1 |
| 2 | 2024-02-03 00:00:00+00:00 | 13 | 13 | a398152fa8e559b0 | Bulgaria | 2 | 2 | 3eac69e760d9ec57 | Egypt | | | e9e556620469f46a | France | 1 | 1 | b6be463f6999751d | Greece | 5 | 2 | ee1de4914cc26e8f | Italy | 4 | 2 | 82a6dd5bf8dfb66a | Libya | 1 | 1 | 80dd61da7ce1edcc | Malta | 5 | 3 | 8c6dfac15afa6dca | Portugal | 1 | 1 | 65ab749279c8fbe6 | Romania | 6 | 4 | c1698979b983b265 | Spain | 2 | 2 | 03b07ca887edb311 | Tunisia | 5 | 2 | 69c53542ac9ee1fc | Turkey | 8 | 4 | c4b606ff15bd9b86 | Ukraine | 16 | 4 | 2aaad41b89dfad19 | United Kingdom | 1 | 1 |
```
"""
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),
"congestion_target_location": convert_to_list(
congestion_target_location
),
"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_cbm_min": vessel_cbm_min,
"vessel_cbm_max": vessel_cbm_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_frequency": breakdown_frequency,
"breakdown_split_property": breakdown_split_property,
"breakdown_property": breakdown_property,
"breakdown_unit_operator": breakdown_unit_operator,
"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),
"congestion_target_location_excluded": convert_to_list(
congestion_target_location_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
),
}
response = super().search_with_client(
response_type="breakdown", **api_params
)
return TimeSeriesResult(
records=response["data"], reference=response["reference"]
)