search now works with crypto

IEX_Symbol.py

@@ -58,7 +58,10 @@ class IEX_Symbol:
         ).json()
         symbols = pd.DataFrame(data=raw_symbols)
 
-        symbols["description"] = symbols["symbol"] + ": " + symbols["name"]
+        symbols["description"] = "$" + symbols["symbol"] + ": " + symbols["name"]
+        symbols["id"] = symbols["symbol"]
+
+        symbols = symbols[["id", "symbol", "name", "description"]]
         self.symbol_list = symbols
         if return_df:
             return symbols, datetime.now()

bot.py

@@ -229,9 +229,9 @@ def search(update: Update, context: CallbackContext):
         return
 
     context.bot.send_chat_action(chat_id=chat_id, action=telegram.ChatAction.TYPING)
-    queries = s.search_symbols(message)[:6]
+    queries = s.search_symbols(message)[:10]
     if queries:
-        reply = "*Search Results:*\n`$ticker: Company Name`\n"
+        reply = "*Search Results:*\n`$ticker: Company Name`\n`" + ("-" * 21) + "`\n"
         for query in queries:
             reply += "`" + query[1] + "`\n"
         update.message.reply_text(text=reply, parse_mode=telegram.ParseMode.MARKDOWN)
@@ -373,10 +373,13 @@ def inline_query(update: Update, context: CallbackContext):
 
     matches = s.search_symbols(update.inline_query.query)
 
+    symbols = " ".join([match[1].split(":")[0] for match in matches])
+    prices = s.price_reply(s.find_symbols(symbols))
+
     results = []
-    for match in matches:
+    for match, price in zip(matches, prices):
+        print(match)
         try:
-            price = s.price_reply([match[0]])[0]
             results.append(
                 InlineQueryResultArticle(
                     match[0],
@@ -390,7 +393,7 @@ def inline_query(update: Update, context: CallbackContext):
             logging.warning(str(match))
             pass
 
-        if len(results) == 5:
+        if len(results) == 10:
             update.inline_query.answer(results)
             return
 
@@ -423,8 +426,8 @@ def error(update: Update, context: CallbackContext):
         )
 
         # Finally, send the message
-        update.message.reply_text(text=message, parse_mode=telegram.ParseMode.HTML)
+        # update.message.reply_text(text=message, parse_mode=telegram.ParseMode.HTML)
-        update.message.reply_text(text="Please inform the bot admin of this issue.")
+        # update.message.reply_text(text="Please inform the bot admin of this issue.")
 
 
 def main():

cg_Crypto.py

@@ -47,7 +47,9 @@ class cg_Crypto:
         raw_symbols = r.get("https://api.coingecko.com/api/v3/coins/list").json()
         symbols = pd.DataFrame(data=raw_symbols)
 
-        symbols["description"] = symbols["symbol"] + ": " + symbols["name"]
+        symbols["description"] = "$$" + symbols["symbol"] + ": " + symbols["name"]
+        symbols = symbols[["id", "symbol", "name", "description"]]
+
         self.symbol_list = symbols
         if return_df:
             return symbols, datetime.now()
@@ -131,6 +133,8 @@ class cg_Crypto:
                 name = data["name"]
                 price = data["market_data"]["current_price"][self.vs_currency]
                 change = data["market_data"]["price_change_percentage_24h"]
+                if change is None:
+                    change = 0
             except KeyError:
                 return f"{symbol} returned an error."
 

symbol_router.py

@@ -5,6 +5,7 @@ import re
 import pandas as pd
 import random
 import datetime
+from fuzzywuzzy import fuzz
 
 from typing import List, Tuple
 
@@ -17,6 +18,7 @@ from Symbol import Symbol, Stock, Coin
 class Router:
     STOCK_REGEX = "(?:^|[^\\$])\\$([a-zA-Z]{1,6})"
     CRYPTO_REGEX = "[$]{2}([a-zA-Z]{1,20})"
+    searched_symbols = {}
 
     def __init__(self):
         self.stock = IEX_Symbol()
@@ -87,10 +89,31 @@ class Router:
         List[tuple[str, str]]
             A list tuples of every stock sorted in order of how well they match. Each tuple contains: (Symbol, Issue Name).
         """
-        # TODO add support for crypto
-        return self.stock.search_symbols(search)
 
-    def price_reply(self, symbols: list) -> List[str]:
+        df = pd.concat([self.stock.symbol_list, self.crypto.symbol_list])
+
+        search = search.lower()
+
+        df["Match"] = df.apply(
+            lambda x: fuzz.ratio(search, f"{x['symbol']}".lower()),
+            axis=1,
+        )
+
+        df.sort_values(by="Match", ascending=False, inplace=True)
+        if df["Match"].head().sum() < 300:
+            df["Match"] = df.apply(
+                lambda x: fuzz.partial_ratio(search, x["name"].lower()),
+                axis=1,
+            )
+
+            df.sort_values(by="Match", ascending=False, inplace=True)
+
+        symbols = df.head(10)
+        symbol_list = list(zip(list(symbols["symbol"]), list(symbols["description"])))
+        self.searched_symbols[search] = symbol_list
+        return symbol_list
+
+    def price_reply(self, symbols: list[Symbol]) -> List[str]:
         """Returns current market price or after hours if its available for a given stock symbol.
 
         Parameters
@@ -107,6 +130,7 @@ class Router:
         replies = []
 
         for symbol in symbols:
+            print(symbol)
             if isinstance(symbol, Stock):
                 replies.append(self.stock.price_reply(symbol))
             elif isinstance(symbol, Coin):