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openbb_platform/providers/ultima/openbb_ultima/models/sector_news.py
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"""Ultima Sector News Model.""" | ||
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from datetime import datetime | ||
from typing import Any, Dict, List, Optional | ||
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from openbb_core.provider.abstract.fetcher import Fetcher | ||
from openbb_core.provider.standard_models.sector_news import ( | ||
SectorNewsData, | ||
SectorNewsQueryParams, | ||
) | ||
from openbb_ultima.utils.helpers import get_data | ||
from pydantic import Field | ||
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class UltimaSectorNewsQueryParams(SectorNewsQueryParams): | ||
"""Ultima Sector News Query. | ||
Source: https://api.ultimainsights.ai/v1/api-docs#/default/get_v1_getOpenBBProInsights__tickers_ | ||
""" | ||
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__alias_dict__ = { | ||
"symbols": "sectors", | ||
} | ||
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class UltimaSectorNewsData(SectorNewsData): | ||
"""Ultima Sector News Data.""" | ||
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__alias_dict__ = { | ||
"symbols": "ticker", | ||
"date": "publishedDate", | ||
"text": "summary", | ||
"title": "headline", | ||
} | ||
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publisher: str = Field(description="Publisher of the news.") | ||
risk_category: str = Field(description="Risk category of the news.") | ||
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class UltimaSectorNewsFetcher( | ||
Fetcher[ | ||
UltimaSectorNewsQueryParams, | ||
List[UltimaSectorNewsData], | ||
] | ||
): | ||
"""Transform the query, extract and transform the data from the Ultima endpoints.""" | ||
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@staticmethod | ||
def transform_query(params: Dict[str, Any]) -> UltimaSectorNewsQueryParams: | ||
"""Transform query.""" | ||
return UltimaSectorNewsQueryParams(**params) | ||
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@staticmethod | ||
def extract_data( | ||
query: UltimaSectorNewsQueryParams, | ||
credentials: Optional[Dict[str, str]], | ||
**kwargs: Any, | ||
) -> List[Dict]: | ||
"""Extract data from Ultima Insights API.""" | ||
token = credentials.get("ultima_api_key") if credentials else "" | ||
kwargs["auth"] = token | ||
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base_url = "https://api.ultimainsights.ai/v1/getCompaniesForSectors" | ||
pro_base_url = "https://api.ultimainsights.ai/v1/getOpenBBProInsights" | ||
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querystring = str(query).split("=")[1].split("'")[1] | ||
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tickers = [] | ||
url = f"{base_url}/{querystring}" | ||
response = get_data(url, **kwargs) | ||
tickers.extend(response) | ||
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querystring = ",".join(tickers) | ||
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data = [] | ||
url = f"{pro_base_url}/{querystring}" | ||
response = get_data(url, **kwargs) | ||
data.extend(response) | ||
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return data | ||
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@staticmethod | ||
def transform_data( | ||
query: UltimaSectorNewsQueryParams, | ||
data: List[Dict], | ||
**kwargs: Any, | ||
) -> List[UltimaSectorNewsData]: | ||
"""Transform data.""" | ||
results = [] | ||
for ele in data: | ||
for key in ["8k_filings", "articles", "industry_summary"]: | ||
for item in ele[key]: | ||
# manual assignment required for Pydantic to work | ||
item["symbols"] = ele["ticker"] | ||
item["date"] = datetime.strptime( | ||
item["publishedDate"], "%Y-%m-%d %H:%M:%S" | ||
) | ||
item["title"] = item["headline"] | ||
item["url"] = item["url"] | ||
item["publisher"] = item["publisher"] | ||
item["risk_category"] = item["riskCategory"] | ||
results.append(UltimaSectorNewsData.model_validate(item)) | ||
return results |
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