/
voyages_search_enriched.py
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voyages_search_enriched.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_search_enriched.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_SEARCH_ENRICHED
from vortexasdk.endpoints.voyages_search_enriched_result import (
VoyagesSearchEnrichedFlattenedResult,
VoyagesSearchEnrichedListResult,
)
from vortexasdk.operations import Search
from vortexasdk.utils import convert_to_list
class VoyagesSearchEnriched(Search):
_MAX_PAGE_RESULT_SIZE = 500
_CSV_HEADERS = {"Content-Type": "application/json", "accept": "text/csv"}
def __init__(self):
Search.__init__(self, VOYAGES_SEARCH_ENRICHED)
# noinspection PyUnresolvedReferences
def search(
self,
order: str = None,
order_direction: str = None,
offset: int = None,
unit: str = None,
columns: Union[str, List[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_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,
) -> Union[
VoyagesSearchEnrichedFlattenedResult, VoyagesSearchEnrichedListResult
]:
"""
Returns one record per voyage, containing a selection of information about the voyage.
NOTE: To display results as a list (`to_list()`), please set the columns parameter to `None`. To display results as dataframe (`to_df()`), please set the columns parameter to `all` or a list of selected columns.
# Arguments
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 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_cdm_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.
order: Used to sort the returned results. Can be one of:`'vessel_name'`,`'dwt'`,`'vessel_class'`,
`'start_date'`,`'end_date'`.
order_direction: Determines the direction of sorting. ‘asc’ for ascending, ‘desc’ for descending.
offset: Used to page results. The offset from which records should be returned.
unit: Unit of measurement. Enter `'b'` for barrels or `'t'` for tonnes or `'cbm'` for cubic metres.
columns: Determines what columns are visible in the output. Enter "all" for all columns, or any of:
`'vessel_name'`,`'imo'`,`'dwt'`,`'capacity'`,`'vessel_class'`,`'voyage_status'`,`'cargo_status'`,
`'origin'`,`'origin_shipping_region'`,`'origin_region'`,`'origin_country'`,`'origin_port'`,`'origin_terminal'`,
`'destination'`,`'destination_shipping_region'`,`'destination_region'`,`'destination_country'`,`'destination_port'`,`'destination_terminal'`,`'destination_eta'`,
`'charterer'`,`'effective_controller'`,`'voyage_type'`,`'quantity'`,`'latest_product'`,`'latest_product_group'`,`'latest_product_category'`,`'latest_product_grade'`,
`'time_charterer'`,`'flag'`,`'scrubber'`,`'build_year'`,`'risk_rating'`,`'coating'`,`'start_date'`,`'end_date'`,`'tonne_miles'`,`'distance'`,
`'voyage_id'`,`'previous_voyage_id'`,`'next_voyage_id'`,`'duration'`,
`'first_origin'`,`'first_origin_shipping_region'`,`'first_origin_country'`,`'first_origin_port'`,`'first_origin_terminal'`,
`'final_destination'`,`'final_destination_shipping_region'`,`'final_destination_country'`,`'final_destination_port'`,`'final_destination_terminal'`.
# Returns
`VoyagesSearchEnrichedListResult` or `VoyagesSearchEnrichedFlattenedResult`
# Example
_Voyages as of 13th Feb 2023 for vessels carrying crude departing from Rotterdam._
```python
>>> from vortexasdk import VoyagesSearchEnriched, Geographies
>>> from datetime import datetime
>>> rotterdam = [g.id for g in Geographies().search("rotterdam").to_list() if "port" in g.layer]
>>> start = datetime(2023, 2, 13)
>>> end = datetime(2023, 2, 13, 23, 59)
>>> search_result = VoyagesSearchEnriched().search(
... time_min=start,
... time_max=end,
... origins=rotterdam,
... columns="all",
... ).to_df().head()
```
Gives the following result:
```
| | VESSEL NAME | IMO | DWT (t) | CAPACITY (cbm) | VESSEL CLASS | VOYAGE STATUS | ORIGIN | ORIGIN TERMINAL | ORIGIN PORT | ORIGIN COUNTRY | ORIGIN SHIPPING REGION | DESTINATION | DESTINATION TERMINAL | DESTINATION PORT | DESTINATION COUNTRY | DESTINATION SHIPPING REGION | START DATE | END DATE | LATEST PRODUCT | LATEST PRODUCT GROUP | LATEST PRODUCT CATEGORY | LATEST PRODUCT GRADE | QUANTITY (bbl) | CHARTERER | EFFECTIVE CONTROLLER | TIME CHARTERER | BUILD YEAR | FLAG | RISK RATING | SCRUBBERS | COATING | TONNE-MILES | DURATION (h) | DISTANCE | VOYAGE ID | PREVIOUS VOYAGE ID | NEXT VOYAGE ID | ORIGIN GEOGRAPHIC REGION | DESTINATION GEOGRAPHIC REGION | FIRST ORIGIN | FIRST ORIGIN TERMINAL | FIRST ORIGIN PORT | FIRST ORIGIN COUNTRY | FIRST ORIGIN SHIPPING REGION | FINAL DESTINATION | FINAL DESTINATION TERMINAL | FINAL DESTINATION PORT | FINAL DESTINATION COUNTRY | FINAL DESTINATION SHIPPING REGION |
|---:|:---------------------|--------:|----------:|-----------------:|:----------------|:----------------|:--------------------------------|:------------------------|:--------------------------------|:--------------------|:-------------------------|:---------------|:-----------------------|:-------------------|:----------------------|:------------------------------|:-------------|:------------|:--------------------------------|:-------------------------|:------------------------------|:-----------------------|-----------------:|:------------|:-----------------------|:-----------------|-------------:|:-------|:--------------|:------------|:----------|:--------------|---------------:|:-----------|:-----------------------------------------------------------------|:-----------------------------------------------------------------|:-----------------|:---------------------------|:--------------------------------|:------------------|:------------------------|:--------------------|:-----------------------|:-------------------------------|:--------------------|:-----------------------------|:-------------------------|:----------------------------|:------------------------------------|
| 0 | YM NEPTUNE | 9464106 | 6970 | 8091 | Tiny tanker | Laden | Frontignan [FR], Rotterdam [NL] | , Vopak Terminal Botlek | Frontignan [FR], Rotterdam [NL] | France, Netherlands | West Med, UK Cont | | | | | | 28 Dec 2022 | | Biodiesel, Other Clean Products | Clean Petroleum Products | Finished Biodiesel, Chemicals | | 19058 | | | | 2009 | MT | Low | | Coated | 15708783 | 1139 | 7570 | 0edb92ac9addd29b42ede8a8b4843ceb0edb92ac9addd29b42ede8a8b4843ceb | f2b314f245a391ee4e1ebcc41d9a2d2741526f0f3625183440e7e280092cfe91 | | Europe, Europe | | Frontignan [FR] | | Frontignan [FR] | France | West Med | | | | | |
| 1 | YASA POLARIS | 9907457 | 157300 | 167231 | Suezmax | Ballast | Rotterdam [NL] | TEAM Terminal B.V. | Rotterdam [NL] | Netherlands | UK Cont | Rotterdam [NL] | | Rotterdam [NL] | Netherlands | UK Cont | 13 Feb 2023 | | Crude | Crude/Condensates | Light-Sour | CPC Blend | 0 | | Ya-Sa Shipping | | 2021 | MH | Medium | | | | 14 | | ac6c49388567f546d4f57a3e8e8c984e2188f68407394bbe3fde99a0aaff72d7 | f9cab95f35202ab0b273d6d646202080f9cab95f35202ab0b273d6d646202080 | | Europe | Europe | Rotterdam [NL] | TEAM Terminal B.V. | Rotterdam [NL] | Netherlands | UK Cont | Rotterdam [NL] | | Rotterdam [NL] | Netherlands | UK Cont |
| 2 | XING HAI WAN | 9570113 | 6123 | 6022 | Tiny tanker | Laden | Rotterdam [NL] | Shell - Rotterdam | Rotterdam [NL] | Netherlands | UK Cont | | | | | | 07 Feb 2023 | | Asphalt/Bitumen | Dirty Petroleum Products | | | 18513 | | | | 2009 | PA | Low | | | 3848284 | 144 | 1257 | 2bb322f03f203bf2570654e6dc22c52e2bb322f03f203bf2570654e6dc22c52e | 2cec64d13c15f4e8999068c63a898335a75bc99b600f97768655ae748b75a2d7 | | Europe | | Rotterdam [NL] | Shell - Rotterdam | Rotterdam [NL] | Netherlands | UK Cont | | | | | |
| 3 | XANTHIA | 9246152 | 17031 | 17829 | General purpose | Laden | Rotterdam [NL] | Vopak Terminal Botlek | Rotterdam [NL] | Netherlands | UK Cont | Amsterdam [NL] | | Amsterdam [NL] | Netherlands | UK Cont | 12 Feb 2023 | 15 Feb 2023 | Diesel/Gasoil | Clean Petroleum Products | Gasoil | | 43370 | | Neda Maritime | | 2003 | NO | Low | | Coated | 8334 | 85 | 1 | 640a7b6ae43683ef52bdc5141b5b11a7640a7b6ae43683ef52bdc5141b5b11a7 | 3a7353f9128d669f31e9d775ef53d9355d34928f1a77801da59576d523cb95c5 | | Europe | Europe | Rotterdam [NL] | Vopak Terminal Botlek | Rotterdam [NL] | Netherlands | UK Cont | Amsterdam [NL] | | Amsterdam [NL] | Netherlands | UK Cont |
| 4 | WOODSIDE REES WITHER | 9810367 | 96000 | 173400 | Conventional | Ballast | Gate LNG Terminal | Gate LNG Terminal | Rotterdam [NL] | Netherlands | UK Cont | | | | | | 01 Feb 2023 | | LNG | Liquefied Natural Gas | Lean | Corpus Christi LNG | 0 | | MARAN GAS MARITIME | | 2019 | GR | Low | | | | 280 | 3967 | 0fa825ab44e6dc5d352db9e8ef47f41e003a794b97b69677ba5f64b2398456e3 | d51d7fc4c74ed04ec69646d297c2f19cd51d7fc4c74ed04ec69646d297c2f19c | | Europe | | Gate LNG Terminal | Gate LNG Terminal | Rotterdam [NL] | Netherlands | UK Cont | | | | | |
```
"""
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_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,
"order_direction": order_direction,
"order": order,
"offset": offset,
"size": self._MAX_PAGE_RESULT_SIZE,
"unit": unit,
"csv_columns": columns,
"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
),
}
if columns is None:
response = super().search_with_client_with_search_after(
**api_params
)
return VoyagesSearchEnrichedListResult(
records=response["data"], reference=response["reference"]
)
else:
response = super().search_with_client_with_search_after(
headers=self._CSV_HEADERS, **api_params
)
return VoyagesSearchEnrichedFlattenedResult(
records=response["data"], reference=response["reference"]
)