vortexasdk.endpoints.onshore_inventories_search

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OnshoreInventoriesSearch

OnshoreInventoriesSearch(self)

Crude Onshore Inventories Endpoint, use this to search through Vortexa's Onshore Inventory data. Please note: you will require a subscription to our Crude Onshore Inventories module to access this endpoint.

search

OnshoreInventoriesSearch.search(self, corporate_entity_ids: Union[str, List[str]] = None, crude_confidence: List[str] = None, location_ids: Union[str, List[str]] = None, storage_types: List[str] = None, time_min: datetime.datetime = datetime.datetime(2022, 5, 24, 13, 54, 57, 84944), time_max: datetime.datetime = datetime.datetime(2022, 5, 31, 13, 54, 57, 84953)) -> vortexasdk.endpoints.onshore_inventories_result.OnshoreInventoriesResult

List of crude onshore inventories across the globe.

Arguments

  • corporate_entity_ids: An array of owner ID(s) to filter on.
  • crude_confidence: An array of confidence metrics to filter on. Possible values are: 'confirmed’, ‘probable’, ‘unlikely’
  • location_ids: An array of geography ID(s) to filter on.
  • measurement_ids: An array of unique measurements (each COI measurement) to filter on.
  • size: Used to page results. The size of the result set. Between 0 and 500.
  • storage_types: An array of storage types to filter on. Possible values are: 'refinery', 'non-refinery', 'commercial', 'spr', 'tbd'

Returns

OnshoreInventoriesResult

Data frame example

Top 5 Crude Onshore Inventories where 'crude_confidence' status is 'confirmed'.

>>> from vortexasdk import OnshoreInventoriesSearch
>>> df = OnshoreInventoriesSearch().search(crude_confidence=['confirmed']).to_df().head(5)

measurement_id tank_id tank_details.capacity_bbl ... fill_bbl fill_tons fill_cbm
0 1e41bdfc8fa21a1f3d874d41a af83f5475ebd45b9167254667 225055 ... 194898 26648.208642 30986.443224
1 211d96e43ff6893d555f8e7e0 f7c583b26ff8d4e50d4ba9da5 658327 ... 131804 18021.429116 20955.254352
2 5ef5595cadf0161f6b59a0769 7047360864070b7a08802ae82 209196 ... 468790 64097.187910 74531.984520
3 b70f105d6309fb1acdb4b18c5 2ae82a3b79f32105716725460 664169 ... 105934 14484.249886 16842.234792
4 72841f54183a082de91d9er43 802ae82a3b79f321167254667 75669 ... 474814 64920.843406 75489.728232

List example

First COI object in the list where 'crude_confidence' status is 'confirmed'.

>>> from vortexasdk import OnshoreInventoriesSearch
>>> list = OnshoreInventoriesSearch().search(crude_confidence='confirmed').to_list()[0]

{
    measurement_id: '5731385e7b0ce8',
    tank_id: 'c5a6bf5e95e969cf7',
    tank_details: {
        id: 'c5a6bf5e95e969cf7',
        capacity_bbl: 875573,
        capacity_cbm: 139205,
        capacity_ton: 119716,
        corporate_entity_details: {
            id: 'b25523ae823b9e38bb11a161eb60d42194f1a886e58dfe39592dcc324f06f60e',
            label: 'Repsol'
        },
        corporate_entity_id: 'b25523ae823b9e38bb11a161eb60d42194f1a886e58dfe39592dcc324f06f60e',
        crude_confidence: 'confirmed',
        last_updated: '2021-08-03T14: 34: 18.533Z',
        leaf: True,
        location_id: 'a98c21d06633d86c8c55',
        location_details: [
            {
                id: 'a98c21d06633d86c8c55',
                label: 'CartagenaLNGTerminal(Enagas)',
                layer: 'terminal'
            },
            {
                id: 'c7baa1cfb2a11e7c2eca',
                label: 'Cartagena[
                    ES
                ]',
                layer: 'port'
            }
        ],
        name: 'CGA030',
        pos: (-0.926539,
        37.574),
        radius: 45,
        ref_type: 'asset_tank',
        storage_terminal_id: 'e757382d4aa5a8aa77d0f11ac7f535fb32993bae89bdf581771f155d1c0149b8',
        storage_terminal_name: 'RepsolCartagenaRefinery',
        storage_type: 'refinery'
    },
    measurement_timestamp: '2021-09-06T17: 50: 12',
    publish_timestamp: '2021-09-08T13: 59: 45',
    report_timestamp: '2021-09-09T14: 00: 00',
    carry_forward: False,
    fill_bbl: 732345,
    fill_tons: 100132.79950499999,
    fill_cbm: 116434.06685999999,
    reference_data_version: '20210906-1631611377217'
}