N/A check was removed from quotation downloaders but was put into onl…

…y one place in _store_quotations() method

jal/db/asset.py

@@ -173,7 +173,7 @@ def quotes(self, begin: int, end: int, currency_id: int) -> list:
             quotes.append((timestamp, quote))
         return quotes
 
-    # Returns tuple (begin_timestamp: int, end_timestamp: int) that defines timestamp range for which quotest are
+    # Returns tuple (begin_timestamp: int, end_timestamp: int) that defines timestamp range for which quotations are
     # available in database for given currency
     def quotes_range(self, currency_id: int) -> tuple:
         try:

jal/net/downloader.py

@@ -98,6 +98,7 @@ def _adjust_start(self, asset: JalAsset, currency_id: int, start) -> int:
 
     def _store_quotations(self, asset: JalAsset, currency_id: int, data: pd.DataFrame) -> None:
         if data is not None:
+            data.dropna(inplace=True)
             quotations = []
             for date, quote in data.iterrows():  # Date in pandas dataset is in UTC by default
                 quotations.append({'timestamp': int(date.timestamp()), 'quote': quote[0]})
@@ -193,7 +194,6 @@ def CBR_DataReader(self, currency, start_timestamp, end_timestamp):
         data['Multiplier'] = data['Multiplier'].apply(Decimal)
         data['Rate'] = data['Rate'] / data['Multiplier']
         data.drop('Multiplier', axis=1, inplace=True)
-        data.dropna(inplace=True)
         rates = data.set_index("Date")
         return rates
 
@@ -212,7 +212,6 @@ def ECB_DataReader(self, currency, start_timestamp, end_timestamp):
         data['Rate'] = data['Rate'].apply(Decimal)   # Convert from str to Decimal
         data['Rate'] = Decimal('1') / data['Rate']
         data['Rate'] = data['Rate'].apply(round, args=(10, ))
-        data.dropna(inplace=True)
         rates = data.set_index("Date")
         return rates
 
@@ -392,7 +391,6 @@ def MOEX_DataReader(self, asset, currency_id, start_timestamp, end_timestamp, up
         data = pd.DataFrame(quotes, columns=["Date", "Close"])
         data['Date'] = pd.to_datetime(data['Date'], format="%Y-%m-%d")
         data['Close'] = data['Close'].apply(Decimal)
-        data.dropna(inplace=True)
         close = data.set_index("Date")
         return close
 
@@ -408,7 +406,6 @@ def Yahoo_Downloader(self, asset, currency_id, start_timestamp, end_timestamp, s
         data['Date'] = pd.to_datetime(data['Date'], format="%Y-%m-%d")
         data['Close'] = data['Close'].apply(Decimal)
         data = data.drop(columns=['Open', 'High', 'Low', 'Adj Close', 'Volume'])
-        data.dropna(inplace=True)
         close = data.set_index("Date")
         return close
 
@@ -447,7 +444,6 @@ def Euronext_DataReader(self, asset, currency_id, start_timestamp, end_timestamp
         data['Close'] = data['Close'].apply(Decimal)
         data = data.drop(columns=['Open', 'High', 'Low', 'Last', 'Number of Shares', 'Number of Trades', 'Turnover', 'vwap'],
                          errors='ignore')  # Ignore errors as some columns might be missing
-        data.dropna(inplace=True)
         close = data.set_index("Date")
         close.sort_index(inplace=True)
         return close
@@ -482,7 +478,6 @@ def TMX_Downloader(self, asset, _currency_id, start_timestamp, end_timestamp):
         data['Date'] = pd.to_datetime(data['Date'], format="%Y-%m-%d")
         data['Close'] = data['Close'].apply(str)   # Convert from float to str
         data['Close'] = data['Close'].apply(Decimal)   # Convert from str to Decimal
-        data.dropna(inplace=True)
         close = data.set_index("Date")
         close.sort_index(inplace=True)
         return close
@@ -563,7 +558,6 @@ def Coinbase_Downloader(self, asset, currency_id, start_timestamp, end_timestamp
             quotes.append({"Date": datetime.utcfromtimestamp(ts), "Close": quote})
         data = pd.DataFrame(quotes, columns=["Date", "Close"])
         data['Close'] = data['Close'].apply(Decimal)
-        data.dropna(inplace=True)
         close = data.set_index("Date")
         return close