#87: bandaid fix so bot can work without market data, and warns users about the lack of stock market data

.devcontainer/Dockerfile

@@ -12,8 +12,7 @@ ENV MPLBACKEND=Agg
 COPY --from=builder /root/.local /root/.local
 
 RUN pip install --no-cache-dir black
-ENV TELEGRAM=TOKEN
+ENV TELEGRAM=724630968:AAFmLveRXhtTU_0dgzC724eGUpVK9b3Cw8w
-ENV IEX=TOKEN
 
 COPY . .
 

Symbol.py

@@ -31,7 +31,7 @@ class Stock(Symbol):
 
     def __init__(self, symbol: pd.DataFrame) -> None:
         if len(symbol) > 1:
-            logging.info(f"Crypto with shared id:\n\t{symbol.id}")
+            logging.info(f"Stock with shared id:\n\t{symbol.id}")
             symbol = symbol.head(1)
 
         self.symbol = symbol.symbol.values[0]
@@ -39,6 +39,12 @@ class Stock(Symbol):
         self.name = symbol.name.values[0]
         self.tag = symbol.type_id.values[0].upper()
 
+    def __init__(self):
+        self.symbol = "Placeholder"
+        self.id = "Placeholder"
+        self.name = "Placeholder"
+        self.tag = "Placeholder"
+
 
 class Coin(Symbol):
     """Cryptocurrency Object. Gets data from CoinGecko."""

placeholder_Symbol.py

@@ -0,0 +1,158 @@
+"""Class with functions for running the bot with IEX Cloud.
+"""
+
+import logging
+
+import pandas as pd
+
+from Symbol import Stock
+
+
+class placeholder_Symbol:
+    """
+    Functions for finding stock market information about symbols.
+    """
+
+    placeholder_message = """
+    Due to increased costs for market data from IEX Cloud, a new provider will be required for the bot to have stock market data. Until then only cryptocurrency data will be available on the bot.
+    *Track this issue here:* https://t.me/simplestockchat
+    """
+
+    def __init__(self) -> None:
+        """Creates a placeholder Symbol Object"""
+
+        logging.warning("Creating a placeholder Symbol.")
+
+    def status(self) -> str:
+        """Checks IEX Status dashboard for any current API issues.
+
+        Returns
+        -------
+        str
+            Human readable text on status of stock market data
+        """
+
+        return self.placeholder_message
+
+    def price_reply(self, symbol: Stock) -> str:
+        """Returns price movement of Stock for the last market day, or after hours.
+
+        Parameters
+        ----------
+        symbol : Stock
+
+        Returns
+        -------
+        str
+            Formatted markdown
+        """
+
+        return self.placeholder_message
+
+    def dividend_reply(self, symbol: Stock) -> str:
+        """Returns the most recent, or next dividend date for a stock symbol.
+
+        Parameters
+        ----------
+        symbol : Stock
+
+        Returns
+        -------
+        str
+            Formatted markdown
+        """
+        return self.placeholder_message
+
+    def news_reply(self, symbol: Stock) -> str:
+        """Gets most recent, english, non-paywalled news
+
+        Parameters
+        ----------
+        symbol : Stock
+
+        Returns
+        -------
+        str
+            Formatted markdown
+        """
+        return self.placeholder_message
+
+    def info_reply(self, symbol: Stock) -> str:
+        """Gets description for Stock
+
+        Parameters
+        ----------
+        symbol : Stock
+
+        Returns
+        -------
+        str
+            Formatted text
+        """
+        return self.placeholder_message
+
+    def stat_reply(self, symbol: Stock) -> str:
+        """Key statistics on a Stock
+
+        Parameters
+        ----------
+        symbol : Stock
+
+        Returns
+        -------
+        str
+            Formatted markdown
+        """
+        return self.placeholder_message
+
+    def cap_reply(self, symbol: Stock) -> str:
+        """Get the Market Cap of a stock"""
+
+        return self.placeholder_message
+
+    def intra_reply(self, symbol: Stock) -> pd.DataFrame:
+        """Returns price data for a symbol since the last market open.
+
+        Parameters
+        ----------
+        symbol : str
+            Stock symbol.
+
+        Returns
+        -------
+        pd.DataFrame
+            Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
+        """
+
+        return pd.DataFrame()
+
+    def chart_reply(self, symbol: Stock) -> pd.DataFrame:
+        """Returns price data for a symbol of the past month up until the previous trading days close.
+        Also caches multiple requests made in the same day.
+
+        Parameters
+        ----------
+        symbol : str
+            Stock symbol.
+
+        Returns
+        -------
+        pd.DataFrame
+            Returns a timeseries dataframe with high, low, and volume data if its available. Otherwise returns empty pd.DataFrame.
+        """
+
+        return pd.DataFrame()
+
+    def spark_reply(self, symbol: Stock) -> str:
+        return ""
+
+    def trending(self) -> list[str]:
+        """Gets current coins trending on IEX. Only returns when market is open.
+
+        Returns
+        -------
+        list[str]
+            list of $ID: NAME, CHANGE%
+        """
+
+        return [self.placeholder_message]

symbol_router.py

@@ -12,7 +12,7 @@ import schedule
 from cachetools import TTLCache, cached
 
 from cg_Crypto import cg_Crypto
-from IEX_Symbol import IEX_Symbol
+from placeholder_Symbol import placeholder_Symbol
 from Symbol import Coin, Stock, Symbol
 
 
@@ -22,7 +22,7 @@ class Router:
     trending_count = {}
 
     def __init__(self):
-        self.stock = IEX_Symbol()
+        self.stock = placeholder_Symbol()
         self.crypto = cg_Crypto()
 
         schedule.every().hour.do(self.trending_decay)
@@ -62,16 +62,8 @@ class Router:
         schedule.run_pending()
 
         symbols = []
-        stocks = set(re.findall(self.STOCK_REGEX, text))
+        if re.findall(self.STOCK_REGEX, text):
-        for stock in stocks:
+            symbols.append(Stock())
-            sym = self.stock.symbol_list[
-                self.stock.symbol_list["symbol"].str.fullmatch(stock, case=False)
-            ]
-            if ~sym.empty:
-                print(sym)
-                symbols.append(Stock(sym))
-            else:
-                info(f"{stock} is not in list of stocks")
 
         coins = set(re.findall(self.CRYPTO_REGEX, text))
         for coin in coins: