V2.1.4 (#55)

* update

* news fix

Author: TexasCoding

poetry.lock

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "py-alpaca-api"
-version = "2.1.3"
+version = "2.1.4"
 description = "Python package, for communicating with Alpaca Markets REST API."
 authors = ["TexasCoding <[email protected]>"]
 readme = "README.md"

pyproject.toml

@@ -21,7 +21,7 @@ def request(
         method: str,
         url: str,
         headers: Optional[Dict[str, str]] = None,
-        params: Optional[Dict[str, str]] = None,
+        params: Optional[Dict[str, str] | Dict[str, bool] | Dict[str, float]] = None,
         json: Optional[Dict[str, str]] = None,
     ):
         """

src/py_alpaca_api/http/requests.py

@@ -1,6 +1,6 @@
 from dataclasses import dataclass
 from datetime import datetime
-from typing import Dict, List
+from typing import Dict, List, Union
 
 from py_alpaca_api.models.asset_model import AssetModel
 from py_alpaca_api.models.model_utils import KEY_PROCESSORS, extract_class_data
@@ -13,7 +13,7 @@ class WatchlistModel:
     created_at: datetime
     updated_at: datetime
     name: str
-    assets: List[object]
+    assets: List[Union[object | AssetModel]]
 
 
 ############################################

src/py_alpaca_api/models/watchlist_model.py

@@ -11,6 +11,7 @@ def __init__(
         self, api_key: str, api_secret: str, api_paper: bool, market: Market
     ) -> None:
         headers = {
+            "accept": "application/json",
             "APCA-API-KEY-ID": api_key,
             "APCA-API-SECRET-KEY": api_secret,
         }

src/py_alpaca_api/stock/__init__.py

@@ -0,0 +1,3 @@
+class LatestQuote:
+    def __init__(self) -> None:
+        pass

src/py_alpaca_api/stock/latest_quote.py

@@ -105,13 +105,18 @@ def get_losers_to_gainers(
         future_periods: int = 14,
     ) -> list:
         """
-        Retrieves a list of future gainers by predicting stock prices using Prophet.
+        Predicts future gainers based on the previous day's losers using Prophet forecasting.
 
         Args:
-            losers_to_scan (int): The number of previous day losers to scan. Defaults to 200.
+            gain_ratio: The minimum gain ratio required for a stock to be considered a future gainer.
+            losers_to_scan: The number of previous day's losers to scan.
+            future_periods: The number of future periods to forecast.
 
         Returns:
-            list: A list of symbols representing the future gainers.
+            A list of future gainers.
+
+        Raises:
+            Exception: If there is an error while predicting future gainers for a stock.
         """
         previous_day_losers = self.screener.losers(total_losers_returned=losers_to_scan)
         losers_list = previous_day_losers["symbol"].tolist()

src/py_alpaca_api/stock/predictor.py

@@ -13,6 +13,7 @@
 class Trading:
     def __init__(self, api_key: str, api_secret: str, api_paper: bool) -> None:
         headers = {
+            "accept": "application/json",
             "APCA-API-KEY-ID": api_key,
             "APCA-API-SECRET-KEY": api_secret,
         }

src/py_alpaca_api/trading/__init__.py

@@ -143,7 +143,7 @@ def _get_yahoo_news(self, symbol: str, limit: int = 5) -> List[Dict[str, str]]:
                 )
             except Exception as e:
                 logging.error(f"Error scraping article: {e}")
-                pass
+                continue
 
         return yahoo_news
 
@@ -173,7 +173,7 @@ def _get_benzinga_news(
                 - "url": The URL of the news article.
                 - "source": The source of the news article (in this case, "benzinga").
                 - "content": The content of the news article, or None if there is no content.
-                - "publish_date": The publish date of the news article.
+                - "publish_date": The publishing date of the news article.
                 - "symbol": The symbol associated with the news article.
         """
         url = f"{self.news_url}"