kwargs arguments support

Author: s4int

CSVLibrary/__init__.py

@@ -8,7 +8,9 @@
 class CSVLibrary(object):
 
     @staticmethod
-    def _open_csv_file_for_read(filename, csv_reader=csv.reader, **kwargs):
+    def _open_csv_file_for_read(filename, csv_reader=csv.reader, line_numbers=None, **kwargs):
+        if line_numbers is not None and isinstance(line_numbers, list):
+            line_numbers = map(int, line_numbers)
         with open(filename, 'r') as csv_handler:
             reader = csv_reader(csv_handler, **kwargs)
             try:
@@ -39,58 +41,81 @@ def empty_csv_file(filename):
         with open(filename, "w") as csv_handler:
             csv_handler.truncate()
 
-    def read_csv_file_to_list(self, filename, delimiter=','):
+    def read_csv_file_to_list(self, filename, delimiter=',', **kwargs):
         """Read CSV file and return its content as a Python list of tuples.
         
         - ``filename``:  name of csv file
         - ``delimiter``: Default: `,`
+        - ``quoting`` (int):
+          _0_: QUOTE_MINIMAL
+          _1_: QUOTE_ALL
+          _2_: QUOTE_NONNUMERIC
+          _3_: QUOTE_NONE
         """
         csv_list = self._open_csv_file_for_read(
             filename,
             csv_reader=csv.reader,
-            delimiter=str(delimiter)
+            delimiter=str(delimiter),
+            **kwargs
         )
         return [tuple(row) for row in csv_list]
 
-    def read_csv_file_to_associative(self, filename, delimiter=',', fieldnames=None):
+    def read_csv_file_to_associative(self, filename, delimiter=',', fieldnames=None, **kwargs):
         """Read CSV file and return its content as a Python list of dictionaries.
         
         - ``filename``:  name of csv file
         - ``delimiter``: Default: `,`
         - ``fieldnames``: list of column names
+        - ``quoting`` (int):
+          _0_: QUOTE_MINIMAL
+          _1_: QUOTE_ALL
+          _2_: QUOTE_NONNUMERIC
+          _3_: QUOTE_NONE
+
         """
         csv_dict = self._open_csv_file_for_read(
             filename,
             csv_reader=csv.DictReader,
             delimiter=str(delimiter),
-            fieldnames=fieldnames
+            fieldnames=fieldnames,
+            **kwargs
         )
         return [item for item in csv_dict]
 
-    def append_to_csv_file(self, filename, data):
+    def append_to_csv_file(self, filename, data, **kwargs):
         """This keyword will append data to a new or existing CSV file.
         
         - ``filename``:  name of csv file
         - ``data``: iterable(e.g. list or tuple) data.
+        - ``quoting`` (int):
+          _0_: QUOTE_MINIMAL
+          _1_: QUOTE_ALL
+          _2_: QUOTE_NONNUMERIC
+          _3_: QUOTE_NONE
         """
         if isinstance(data[0], dict):
             data = map(lambda row: row.items(), data)
-        self._open_csv_file_for_write(filename, data=data, csv_writer=csv.writer)
+        self._open_csv_file_for_write(filename, data=data, csv_writer=csv.writer, **kwargs)
 
-    def csv_file_from_associative(self, filename, data, fieldnames=None, delimiter=','):
+    def csv_file_from_associative(self, filename, data, fieldnames=None, delimiter=',', **kwargs):
         """This keyword will create new file
         
         - ``filename``:  name of csv file
         - ``data``: iterable(e.g. list or tuple) data.
         - ``fieldnames``: list of column names
         - ``delimiter``: Default: `,`
+        - ``quoting`` (int):
+          _0_: QUOTE_MINIMAL
+          _1_: QUOTE_ALL
+          _2_: QUOTE_NONNUMERIC
+          _3_: QUOTE_NONE
         """
         fieldnames = fieldnames or data[0].keys()
-        logger.console("fieldnames: %s" % fieldnames)
         self._open_csv_file_for_write(
             filename,
             data=data,
             csv_writer=csv.DictWriter,
             delimiter=str(delimiter),
-            fieldnames=fieldnames
+            fieldnames=fieldnames,
+            **kwargs
         )

CSVLibrary/version.py

@@ -1 +1 @@
-VERSION = '0.0.1'
+VERSION = '0.0.2'

doc/CSVLibrary.html

@@ -547,7 +547,7 @@
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+libdoc = {"all_tags":[],"contains_tags":false,"doc":"<p>Documentation for test library <code>CSVLibrary\x3c/code>.\x3c/p>","generated":"2017-04-06 20:56:18","inits":[],"keywords":[{"args":["filename","data","**kwargs"],"doc":"<p>This keyword will append data to a new or existing CSV file.\x3c/p>\n<ul>\n<li><code>filename\x3c/code>:  name of csv file\x3c/li>\n<li><code>data\x3c/code>: iterable(e.g. list or tuple) data.\x3c/li>\n<li><code>quoting\x3c/code> (int): <i>0\x3c/i>: QUOTE_MINIMAL <i>1\x3c/i>: QUOTE_ALL <i>2\x3c/i>: QUOTE_NONNUMERIC <i>3\x3c/i>: QUOTE_NONE\x3c/li>\n\x3c/ul>","matched":true,"name":"Append To Csv File","shortdoc":"This keyword will append data to a new or existing CSV file.","tags":[]},{"args":["filename","data","fieldnames=None","delimiter=,","**kwargs"],"doc":"<p>This keyword will create new file\x3c/p>\n<ul>\n<li><code>filename\x3c/code>:  name of csv file\x3c/li>\n<li><code>data\x3c/code>: iterable(e.g. list or tuple) data.\x3c/li>\n<li><code>fieldnames\x3c/code>: list of column names\x3c/li>\n<li><code>delimiter\x3c/code>: Default: <span class=\"name\">,\x3c/span>\x3c/li>\n<li><code>quoting\x3c/code> (int): <i>0\x3c/i>: QUOTE_MINIMAL <i>1\x3c/i>: QUOTE_ALL <i>2\x3c/i>: QUOTE_NONNUMERIC <i>3\x3c/i>: QUOTE_NONE\x3c/li>\n\x3c/ul>","matched":true,"name":"Csv File From Associative","shortdoc":"This keyword will create new file","tags":[]},{"args":["filename"],"doc":"<p>This keyword will empty the CSV file.\x3c/p>\n<ul>\n<li><code>filename\x3c/code>: name of csv file\x3c/li>\n\x3c/ul>","matched":true,"name":"Empty Csv File","shortdoc":"This keyword will empty the CSV file.","tags":[]},{"args":["filename","delimiter=,","fieldnames=None","**kwargs"],"doc":"<p>Read CSV file and return its content as a Python list of dictionaries.\x3c/p>\n<ul>\n<li><code>filename\x3c/code>:  name of csv file\x3c/li>\n<li><code>delimiter\x3c/code>: Default: <span class=\"name\">,\x3c/span>\x3c/li>\n<li><code>fieldnames\x3c/code>: list of column names\x3c/li>\n<li><code>quoting\x3c/code> (int): <i>0\x3c/i>: QUOTE_MINIMAL <i>1\x3c/i>: QUOTE_ALL <i>2\x3c/i>: QUOTE_NONNUMERIC <i>3\x3c/i>: QUOTE_NONE\x3c/li>\n\x3c/ul>","matched":true,"name":"Read Csv File To Associative","shortdoc":"Read CSV file and return its content as a Python list of dictionaries.","tags":[]},{"args":["filename","delimiter=,","**kwargs"],"doc":"<p>Read CSV file and return its content as a Python list of tuples.\x3c/p>\n<ul>\n<li><code>filename\x3c/code>:  name of csv file\x3c/li>\n<li><code>delimiter\x3c/code>: Default: <span class=\"name\">,\x3c/span>\x3c/li>\n<li><code>quoting\x3c/code> (int): <i>0\x3c/i>: QUOTE_MINIMAL <i>1\x3c/i>: QUOTE_ALL <i>2\x3c/i>: QUOTE_NONNUMERIC <i>3\x3c/i>: QUOTE_NONE\x3c/li>\n\x3c/ul>","matched":true,"name":"Read Csv File To List","shortdoc":"Read CSV file and return its content as a Python list of tuples.","tags":[]}],"name":"CSVLibrary","named_args":true,"scope":"test case","version":""};
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 </head>

setup.py

@@ -28,7 +28,6 @@
       ],
       install_requires = [
           'robotframework >= 2.6.0',
-          'csv',
       ],
       packages    = ['CSVLibrary'],
       )