Fixed bug when downloading unusual categories

README.md

@@ -117,6 +117,7 @@ individual data providers)
 
 # Release Notes
 
+* 0.1.26 - findatapy (07 Oct 2021)
 * 0.1.25 - findatapy (07 Oct 2021)
 * 0.1.24 - findatapy (06 Oct 2021)
 * 0.1.23 - findatapy (03 Jun 2021)
@@ -135,6 +136,7 @@ individual data providers)
 # Coding log
 
 * 07 Oct 2021
+  * Fixed bug in downloading data for unusual categories 
   * Fixed missing ticker in time_series_tickers.csv
 * 27 Sep 2021
   * Fixed bug in numeric conversion in DataFrame

findatapy/market/market.py

@@ -366,8 +366,8 @@ def fetch_market(self, md_request=None, md_request_df=None, md_request_str=None,
             # the idea is that we do all the market data downloading here, rather than elsewhere
 
         # By default: pass the market data request to MarketDataGenerator
-        if data_frame is not None:
-            data_frame = None
+        # if data_frame is not None:
+        #    data_frame = None
 
         if data_frame is None:
             data_frame = self._market_data_generator.fetch_market_data(md_request)
@@ -378,7 +378,8 @@ def fetch_market(self, md_request=None, md_request_df=None, md_request_str=None,
 
         # Push into cache
         if md_request.push_to_cache:
-            self.speed_cache.put_dataframe(key, data_frame)
+            if data_frame is not None:
+                self.speed_cache.put_dataframe(key, data_frame)
 
         return data_frame
 

setup.py

@@ -5,7 +5,7 @@
 tickers, using configuration files. There is also functionality which is particularly useful for those downloading FX market data."""
 
 setup(name='findatapy',
-      version='0.1.25',
+      version='0.1.26',
       description='Market data library',
       author='Saeed Amen',
       author_email='saeed@cuemacro.com',