Add support for preprocessed JSON strings (with optimizations) in encoder

In some situations, you may have a large python dictionary you need to JSONify but one of the values inside the dict is already a JSON string. This is common when pulling an object from a database, for example, where one of the fields is a JSON blob/string. Previously you would have to deserialize and then reserialize that string just to serialize the high level object, but obviously this is unnecessarily slow. This changes adds a method/type that can be used to wrap a str and tell the serializer to just pass it through instead.

1 files changed, 30 insertions, 0 deletions

diff --git a/simplejson/tests/test_raw_json.py b/simplejson/tests/test_raw_json.py
new file mode 100644
index 0000000..6fa6349
--- /dev/null
+++ b/simplejson/tests/test_raw_json.py
@@ -0,0 +1,30 @@
+import unittest
+import simplejson as json
+
+dct1 = {
+    'key1': 'value1'
+}
+
+dct2 = {
+    'key2': 'value2',
+    'd1': dct1
+}
+
+dct3 = {
+    'key2': 'value2',
+    'd1': json.dumps(dct1)
+}
+
+dct4 = {
+    'key2': 'value2',
+    'd1': json.RawJSON(json.dumps(dct1))
+}
+
+
+class TestRawJson(unittest.TestCase):
+
+    def test_normal_str(self):
+        self.assertNotEqual(json.dumps(dct2), json.dumps(dct3))
+
+    def test_raw_json_str(self):
+        self.assertEqual(json.dumps(dct2), json.dumps(dct4))