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onshore_inventories_search.py
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onshore_inventories_search.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%2Favailability_search.ipynb)
"""
from datetime import datetime, timedelta
from typing import Any, Dict, List, Union
from vortexasdk.endpoints.onshore_inventories_result import (
OnshoreInventoriesResult,
)
from vortexasdk.api.shared_types import to_ISODate
from vortexasdk.api import ID
from vortexasdk.endpoints.endpoints import CRUDE_ONSHORE_INVENTORIES_SEARCH
from vortexasdk.logger import get_logger
from vortexasdk.operations import Search
from vortexasdk.utils import convert_to_list
logger = get_logger(__name__)
class OnshoreInventoriesSearch(Search):
"""
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.
"""
_MAX_PAGE_RESULT_SIZE = 500
def __init__(self):
Search.__init__(self, CRUDE_ONSHORE_INVENTORIES_SEARCH)
def search(
self,
corporate_entity_ids: Union[ID, List[ID]] = None,
crude_confidence: List[str] = None,
location_ids: Union[ID, List[ID]] = None,
storage_types: List[str] = None,
time_min: datetime = datetime.now() - timedelta(weeks=1),
time_max: datetime = datetime.now(),
) -> 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'.
```python
>>> 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'.
```python
>>> 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'
}
```
"""
api_params: Dict[str, Any] = {
"corporate_entity_ids": convert_to_list(corporate_entity_ids),
"crude_confidence": convert_to_list(crude_confidence),
"location_ids": convert_to_list(location_ids),
"storage_types": convert_to_list(storage_types),
"size": self._MAX_PAGE_RESULT_SIZE,
"time_min": to_ISODate(time_min),
"time_max": to_ISODate(time_max),
}
response = super().search_with_client(**api_params)
return OnshoreInventoriesResult(
records=response["data"], reference=response["reference"]
)