1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
|
import pickle
from copy import (
copy,
deepcopy,
)
from dataclasses import dataclass
from typing import (
Dict,
List,
)
from unittest.mock import ANY
import cachelib
import aristaproto
from aristaproto.lib.google import protobuf as google
def unpickled(message):
return pickle.loads(pickle.dumps(message))
@dataclass(eq=False, repr=False)
class Fe(aristaproto.Message):
abc: str = aristaproto.string_field(1)
@dataclass(eq=False, repr=False)
class Fi(aristaproto.Message):
abc: str = aristaproto.string_field(1)
@dataclass(eq=False, repr=False)
class Fo(aristaproto.Message):
abc: str = aristaproto.string_field(1)
@dataclass(eq=False, repr=False)
class NestedData(aristaproto.Message):
struct_foo: Dict[str, "google.Struct"] = aristaproto.map_field(
1, aristaproto.TYPE_STRING, aristaproto.TYPE_MESSAGE
)
map_str_any_bar: Dict[str, "google.Any"] = aristaproto.map_field(
2, aristaproto.TYPE_STRING, aristaproto.TYPE_MESSAGE
)
@dataclass(eq=False, repr=False)
class Complex(aristaproto.Message):
foo_str: str = aristaproto.string_field(1)
fe: "Fe" = aristaproto.message_field(3, group="grp")
fi: "Fi" = aristaproto.message_field(4, group="grp")
fo: "Fo" = aristaproto.message_field(5, group="grp")
nested_data: "NestedData" = aristaproto.message_field(6)
mapping: Dict[str, "google.Any"] = aristaproto.map_field(
7, aristaproto.TYPE_STRING, aristaproto.TYPE_MESSAGE
)
def complex_msg():
return Complex(
foo_str="yep",
fe=Fe(abc="1"),
nested_data=NestedData(
struct_foo={
"foo": google.Struct(
fields={
"hello": google.Value(
list_value=google.ListValue(
values=[google.Value(string_value="world")]
)
)
}
),
},
map_str_any_bar={
"key": google.Any(value=b"value"),
},
),
mapping={
"message": google.Any(value=bytes(Fi(abc="hi"))),
"string": google.Any(value=b"howdy"),
},
)
def test_pickling_complex_message():
msg = complex_msg()
deser = unpickled(msg)
assert msg == deser
assert msg.fe.abc == "1"
assert msg.is_set("fi") is not True
assert msg.mapping["message"] == google.Any(value=bytes(Fi(abc="hi")))
assert msg.mapping["string"].value.decode() == "howdy"
assert (
msg.nested_data.struct_foo["foo"]
.fields["hello"]
.list_value.values[0]
.string_value
== "world"
)
def test_recursive_message():
from tests.output_aristaproto.recursivemessage import Test as RecursiveMessage
msg = RecursiveMessage()
msg = unpickled(msg)
assert msg.child == RecursiveMessage()
# Lazily-created zero-value children must not affect equality.
assert msg == RecursiveMessage()
# Lazily-created zero-value children must not affect serialization.
assert bytes(msg) == b""
def test_recursive_message_defaults():
from tests.output_aristaproto.recursivemessage import (
Intermediate,
Test as RecursiveMessage,
)
msg = RecursiveMessage(name="bob", intermediate=Intermediate(42))
msg = unpickled(msg)
# set values are as expected
assert msg == RecursiveMessage(name="bob", intermediate=Intermediate(42))
# lazy initialized works modifies the message
assert msg != RecursiveMessage(
name="bob", intermediate=Intermediate(42), child=RecursiveMessage(name="jude")
)
msg.child.child.name = "jude"
assert msg == RecursiveMessage(
name="bob",
intermediate=Intermediate(42),
child=RecursiveMessage(child=RecursiveMessage(name="jude")),
)
# lazily initialization recurses as needed
assert msg.child.child.child.child.child.child.child == RecursiveMessage()
assert msg.intermediate.child.intermediate == Intermediate()
@dataclass
class PickledMessage(aristaproto.Message):
foo: bool = aristaproto.bool_field(1)
bar: int = aristaproto.int32_field(2)
baz: List[str] = aristaproto.string_field(3)
def test_copyability():
msg = PickledMessage(bar=12, baz=["hello"])
msg = unpickled(msg)
copied = copy(msg)
assert msg == copied
assert msg is not copied
assert msg.baz is copied.baz
deepcopied = deepcopy(msg)
assert msg == deepcopied
assert msg is not deepcopied
assert msg.baz is not deepcopied.baz
def test_message_can_be_cached():
"""Cachelib uses pickling to cache values"""
cache = cachelib.SimpleCache()
def use_cache():
calls = getattr(use_cache, "calls", 0)
result = cache.get("message")
if result is not None:
return result
else:
setattr(use_cache, "calls", calls + 1)
result = complex_msg()
cache.set("message", result)
return result
for n in range(10):
if n == 0:
assert not cache.has("message")
else:
assert cache.has("message")
msg = use_cache()
assert use_cache.calls == 1 # The message is only ever built once
assert msg.fe.abc == "1"
assert msg.is_set("fi") is not True
assert msg.mapping["message"] == google.Any(value=bytes(Fi(abc="hi")))
assert msg.mapping["string"].value.decode() == "howdy"
assert (
msg.nested_data.struct_foo["foo"]
.fields["hello"]
.list_value.values[0]
.string_value
== "world"
)
|
