Support for TSV-files. Unit-tested.

tablib/core.py

@@ -306,6 +306,20 @@ class Dataset(object):
 		"""
 		pass
 
+	@property
+	def tsv():
+		"""A TSV representation of the :class:`Dataset` object. The top row will contain 
+	    headers, if they have been set. Otherwise, the top row will contain 
+	    the first row of the dataset.
+
+	    A dataset object can also be imported by setting the :class:`Dataset.csv` attribute. ::
+
+	        data = tablib.Dataset()
+	        data.tsv = 'age\tfirst_name\tlast_name\\n90\tJohn\tAdams'
+
+	    Import assumes (for now) that headers exist.
+		"""
+
 	@property
 	def yaml():
 		"""A YAML representation of the :class:`Dataset` object. If headers have been 

tablib/formats/__init__.py

@@ -7,5 +7,6 @@ import _csv as csv
 import _json as json
 import _xls as xls
 import _yaml as yaml
+import _tsv as tsv
 
-available = (json, xls, yaml, csv)
+available = (json, xls, yaml, csv, tsv)

tablib/formats/_tsv.py

@@ -0,0 +1,53 @@
+# -*- coding: utf-8 -*-
+
+""" Tablib - TSV (Tab Separated Values) Support.
+"""
+
+import cStringIO
+import csv
+import os
+
+import tablib
+
+
+title = 'tsv'
+extentions = ('tsv',)
+
+
+
+def export_set(dataset):
+	"""Returns a TSV representation of Dataset."""
+	stream = cStringIO.StringIO()
+	_tsv = csv.writer(stream, delimiter="\t")
+
+	for row in dataset._package(dicts=False):
+		_tsv.writerow(row)
+
+	return stream.getvalue()
+
+
+def import_set(dset, in_stream, headers=True):
+	"""Returns dataset from TSV stream."""
+
+	dset.wipe()
+
+	rows = csv.reader(in_stream.split("\r\n"), delimiter="\t")
+	for i, row in enumerate(rows):
+
+		# Skip empty rows
+		if not row:
+			continue
+
+		if (i == 0) and (headers):
+			dset.headers = row
+		else:
+			dset.append(row)
+
+
+def detect(stream):
+	"""Returns True if given stream is valid TSV."""
+	try:
+		rows = dialect = csv.Sniffer().sniff(stream, delimiters="\t")
+		return True
+	except csv.Error:
+		return False