feat: add support for JSON type (#353)

* add support for JSON- proto changes

* adding json support-synth tool

* deleting synth.metadata

* Revert "add support for JSON- proto changes"

This reverts commit a2f111c.

* json changes

* json changes

* json changes

* sorting keys and adding separators

* adding changes to system test case

* removing extra spaces

* lint changes

* changes to test_session

* changes for lint

Co-authored-by: Zoe <zoc@google.com>
Co-authored-by: larkee <31196561+larkee@users.noreply.github.com>

google/cloud/spanner_v1/_helpers.py

@@ -244,6 +244,8 @@ def _parse_value_pb(value_pb, field_type):
         ]
     elif type_code == TypeCode.NUMERIC:
         return decimal.Decimal(value_pb.string_value)
+    elif type_code == TypeCode.JSON:
+        return value_pb.string_value
     else:
         raise ValueError("Unknown type: %s" % (field_type,))
 

google/cloud/spanner_v1/param_types.py

@@ -28,6 +28,7 @@
 DATE = Type(code=TypeCode.DATE)
 TIMESTAMP = Type(code=TypeCode.TIMESTAMP)
 NUMERIC = Type(code=TypeCode.NUMERIC)
+JSON = Type(code=TypeCode.JSON)
 
 
 def Array(element_type):  # pylint: disable=invalid-name

google/cloud/spanner_v1/streamed.py

@@ -316,6 +316,7 @@ def _merge_struct(lhs, rhs, type_):
     TypeCode.STRUCT: _merge_struct,
     TypeCode.TIMESTAMP: _merge_string,
     TypeCode.NUMERIC: _merge_string,
+    TypeCode.JSON: _merge_string,
 }
 
 

tests/_fixtures.py

@@ -45,7 +45,10 @@
     timestamp_value TIMESTAMP,
     timestamp_array ARRAY<TIMESTAMP>,
     numeric_value NUMERIC,
-    numeric_array ARRAY<NUMERIC>)
+    numeric_array ARRAY<NUMERIC>,
+    json_value JSON,
+    json_array ARRAY<JSON>,
+    )
     PRIMARY KEY (pkey);
 CREATE TABLE counters (
     name STRING(1024),

tests/system/test_session_api.py

@@ -19,7 +19,7 @@
 import struct
 import threading
 import time
-
+import json
 import pytest
 
 import grpc
@@ -43,6 +43,24 @@
 BYTES_2 = b"Ym9vdHM="
 NUMERIC_1 = decimal.Decimal("0.123456789")
 NUMERIC_2 = decimal.Decimal("1234567890")
+JSON_1 = json.dumps(
+    {
+        "sample_boolean": True,
+        "sample_int": 872163,
+        "sample float": 7871.298,
+        "sample_null": None,
+        "sample_string": "abcdef",
+        "sample_array": [23, 76, 19],
+    },
+    sort_keys=True,
+    separators=(",", ":"),
+)
+JSON_2 = json.dumps(
+    {"sample_object": {"name": "Anamika", "id": 2635}},
+    sort_keys=True,
+    separators=(",", ":"),
+)
+
 COUNTERS_TABLE = "counters"
 COUNTERS_COLUMNS = ("name", "value")
 ALL_TYPES_TABLE = "all_types"
@@ -64,8 +82,10 @@
     "timestamp_array",
     "numeric_value",
     "numeric_array",
+    "json_value",
+    "json_array",
 )
-EMULATOR_ALL_TYPES_COLUMNS = LIVE_ALL_TYPES_COLUMNS[:-2]
+EMULATOR_ALL_TYPES_COLUMNS = LIVE_ALL_TYPES_COLUMNS[:-4]
 AllTypesRowData = collections.namedtuple("AllTypesRowData", LIVE_ALL_TYPES_COLUMNS)
 AllTypesRowData.__new__.__defaults__ = tuple([None for colum in LIVE_ALL_TYPES_COLUMNS])
 EmulatorAllTypesRowData = collections.namedtuple(
@@ -88,6 +108,7 @@
     AllTypesRowData(pkey=107, timestamp_value=SOME_TIME),
     AllTypesRowData(pkey=108, timestamp_value=NANO_TIME),
     AllTypesRowData(pkey=109, numeric_value=NUMERIC_1),
+    AllTypesRowData(pkey=110, json_value=JSON_1),
     # empty array values
     AllTypesRowData(pkey=201, int_array=[]),
     AllTypesRowData(pkey=202, bool_array=[]),
@@ -97,6 +118,7 @@
     AllTypesRowData(pkey=206, string_array=[]),
     AllTypesRowData(pkey=207, timestamp_array=[]),
     AllTypesRowData(pkey=208, numeric_array=[]),
+    AllTypesRowData(pkey=209, json_array=[]),
     # non-empty array values, including nulls
     AllTypesRowData(pkey=301, int_array=[123, 456, None]),
     AllTypesRowData(pkey=302, bool_array=[True, False, None]),
@@ -106,6 +128,7 @@
     AllTypesRowData(pkey=306, string_array=["One", "Two", None]),
     AllTypesRowData(pkey=307, timestamp_array=[SOME_TIME, NANO_TIME, None]),
     AllTypesRowData(pkey=308, numeric_array=[NUMERIC_1, NUMERIC_2, None]),
+    AllTypesRowData(pkey=309, json_array=[JSON_1, JSON_2, None]),
 )
 EMULATOR_ALL_TYPES_ROWDATA = (
     # all nulls
@@ -1867,6 +1890,12 @@ def test_execute_sql_w_numeric_bindings(not_emulator, sessions_database):
     )
 
 
+def test_execute_sql_w_json_bindings(not_emulator, sessions_database):
+    _bind_test_helper(
+        sessions_database, spanner_v1.TypeCode.JSON, JSON_1, [JSON_1, JSON_2],
+    )
+
+
 def test_execute_sql_w_query_param_struct(sessions_database):
     name = "Phred"
     count = 123

tests/unit/test__helpers.py

@@ -295,6 +295,17 @@ def test_w_numeric_precision_and_scale_invalid(self):
                     ValueError, err_msg, lambda: self._callFUT(value),
                 )
 
+    def test_w_json(self):
+        import json
+        from google.protobuf.struct_pb2 import Value
+
+        value = json.dumps(
+            {"id": 27863, "Name": "Anamika"}, sort_keys=True, separators=(",", ":")
+        )
+        value_pb = self._callFUT(value)
+        self.assertIsInstance(value_pb, Value)
+        self.assertEqual(value_pb.string_value, value)
+
 
 class Test_make_list_value_pb(unittest.TestCase):
     def _callFUT(self, *args, **kw):
@@ -552,6 +563,20 @@ def test_w_numeric(self):
 
         self.assertEqual(self._callFUT(value_pb, field_type), VALUE)
 
+    def test_w_json(self):
+        import json
+        from google.protobuf.struct_pb2 import Value
+        from google.cloud.spanner_v1 import Type
+        from google.cloud.spanner_v1 import TypeCode
+
+        VALUE = json.dumps(
+            {"id": 27863, "Name": "Anamika"}, sort_keys=True, separators=(",", ":")
+        )
+        field_type = Type(code=TypeCode.JSON)
+        value_pb = Value(string_value=VALUE)
+
+        self.assertEqual(self._callFUT(value_pb, field_type), VALUE)
+
     def test_w_unknown_type(self):
         from google.protobuf.struct_pb2 import Value
         from google.cloud.spanner_v1 import Type