Fixes integrated tests for alt and economy (#2655)

* Fixes integrated tests for alt and economy

* Added fixes

* Added fixes

openbb_terminal/alternative/oss/runa_model.py

@@ -111,7 +111,8 @@ def get_startups() -> pd.DataFrame:
     pandas.DataFrame:
         list of startups
     """
-    soup = _make_request("https://runacap.com/ross-index/")
+    response = requests.get("https://runacap.com/ross-index/", timeout=10)
+    soup = BeautifulSoup(response.content, "html.parser")
     startups = []
     if soup:
         table = soup.find("table", {"id": "table_1"})

openbb_terminal/economy/econdb_model.py

@@ -561,7 +561,11 @@ def get_macro_data(
             return pd.Series(dtype=float), ""
 
         if start_date or end_date:
-            df = df.loc[start_date:end_date]
+            try:
+                df = df.loc[start_date:end_date]
+            except TypeError:
+                console.print("[red]Invalid date sent. Format as YYYY-MM-DD[/red]\n")
+                return pd.DataFrame(), "NA/NA"
 
         if (
             symbol

openbb_terminal/economy/yfinance_model.py

@@ -2,6 +2,8 @@
 __docformat__ = "numpy"
 
 import logging
+from datetime import datetime
+from typing import Optional
 
 import pandas as pd
 import yfinance as yf
@@ -590,8 +592,8 @@ INDICES = {
 def get_index(
     index: str,
     interval: str = "1d",
-    start_date: int = None,
-    end_date: int = None,
+    start_date: Optional[str] = None,
+    end_date: Optional[str] = None,
     column: str = "Adj Close",
 ) -> pd.Series:
     """Obtain data on any index [Source: Yahoo Finance]
@@ -600,9 +602,9 @@ def get_index(
     ----------
     index: str
         The index you wish to collect data for.
-    start_date : str
+    start_date : Optional[str]
        the selected country
-    end_date : bool
+    end_date : Optional[str]
         The currency you wish to convert the data to.
     interval : str
         Valid intervals: 1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo or 3mo
@@ -620,6 +622,15 @@ def get_index(
     else:
         ticker = index
 
+    try:
+        if start_date:
+            datetime.strptime(str(start_date), "%Y-%m-%d")
+        if end_date:
+            datetime.strptime(str(end_date), "%Y-%m-%d")
+    except ValueError:
+        console.print("[red]Please format date as YYYY-MM-DD[/red]\n")
+        return pd.Series(dtype="object")
+
     index_data = yf.download(
         ticker,
         start=start_date,