Fixed an issue where a decimal number is appended for character varying fields while downloading the data in CSV format. Fixes #6520

docs/en_US/release_notes_5_4.rst

@@ -35,3 +35,4 @@ Bug fixes
 | `Issue #6478 <https://redmine.postgresql.org/issues/6478>`_ -  Fixed duplicate SQL issue for tables with more than one partition.
 | `Issue #6482 <https://redmine.postgresql.org/issues/6482>`_ -  Fixed an issue where the Foreground Color property of server dialog does not work.
 | `Issue #6513 <https://redmine.postgresql.org/issues/6513>`_ -  Fixed an issue where pgAdmin does not open after password reset in server mode.
+| `Issue #6520 <https://redmine.postgresql.org/issues/6520>`_ -  Fixed an issue where a decimal number is appended for character varying fields while downloading the data in CSV format.

web/pgadmin/tools/sqleditor/__init__.py

@@ -1357,7 +1357,8 @@ def start_query_download_tool(trans_id):
     try:
 
         # This returns generator of records.
-        status, gen = sync_conn.execute_on_server_as_csv(records=2000)
+        status, gen, conn_obj = \
+            sync_conn.execute_on_server_as_csv(records=2000)
 
         if not status:
             return make_json_response(
@@ -1367,13 +1368,13 @@ def start_query_download_tool(trans_id):
             )
 
         r = Response(
-            gen(
+            gen(conn_obj,
                 trans_obj,
                 quote=blueprint.csv_quoting.get(),
                 quote_char=blueprint.csv_quote_char.get(),
                 field_separator=blueprint.csv_field_separator.get(),
                 replace_nulls_with=blueprint.replace_nulls_with.get()
-            ),
+                ),
             mimetype='text/csv' if
             blueprint.csv_field_separator.get() == ','
             else 'text/plain'

web/pgadmin/utils/driver/psycopg2/connection.py

@@ -879,7 +879,7 @@ WHERE db.datname = current_database()""")
 
             return results
 
-        def gen(trans_obj, quote='strings', quote_char="'",
+        def gen(conn_obj, trans_obj, quote='strings', quote_char="'",
                 field_separator=',', replace_nulls_with=None):
 
             cur.scroll(0, mode='absolute')
@@ -889,7 +889,7 @@ WHERE db.datname = current_database()""")
                 return
 
             # Type cast the numeric values
-            results = numeric_typecasters(results)
+            results = numeric_typecasters(results, conn_obj)
 
             header = []
             json_columns = []
@@ -958,7 +958,7 @@ WHERE db.datname = current_database()""")
         # Registering back type caster for large size data types to string
         # which was unregistered at starting
         register_string_typecasters(self.conn)
-        return True, gen
+        return True, gen, self
 
     def execute_scalar(self, query, params=None,
                        formatted_exception_msg=False):

web/pgadmin/utils/driver/psycopg2/typecast.py

@@ -198,25 +198,21 @@ def register_string_typecasters(connection):
         psycopg2.extensions.register_type(unicode_array_type, connection)
 
 
-def is_numeric(val):
-    """Check if value is numeric or not"""
-    try:
-        if '.' in val:
-            float(val)
-        else:
-            int(val)
-    except ValueError:
-        return False
-    return True
-
-
-def numeric_typecasters(results):
+def numeric_typecasters(results, conn_obj):
     # This function is to convert pg types to numeic type caster
 
+    data = []
+    for obj_type in conn_obj.column_info:
+        if obj_type['type_code'] in TO_STRING_NUMERIC_DATATYPES:
+            data.append(obj_type['name'])
+
     for result in results:
         for key, value in result.items():
-            if isinstance(result[key], str) and is_numeric(result[key]):
+            if isinstance(result[key],
+                          str) and key in data and not value.isdigit():
                 result[key] = float(result[key])
+            elif isinstance(result[key], str) and key in data:
+                result[key] = int(result[key])
     return results