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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

155 lines
3.5 KiB
Python

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Tests for YAML utility functions."""
from pathlib import Path
from typing import Optional
from google.adk.utils.yaml_utils import dump_pydantic_to_yaml
from google.genai import types
from pydantic import BaseModel
class SimpleModel(BaseModel):
"""Simple test model."""
name: str
age: int
active: bool
finish_reason: Optional[types.FinishReason] = None
multiline_text: Optional[str] = None
items: Optional[list[str]] = None
def test_yaml_file_generation(tmp_path: Path):
"""Test that YAML file is correctly generated."""
model = SimpleModel(
name="Alice",
age=30,
active=True,
finish_reason=types.FinishReason.STOP,
)
yaml_file = tmp_path / "test.yaml"
dump_pydantic_to_yaml(model, yaml_file)
assert yaml_file.read_text(encoding="utf-8") == """\
active: true
age: 30
finish_reason: STOP
name: Alice
"""
def test_multiline_string_pipe_style(tmp_path: Path):
"""Test that multiline strings use | style."""
multiline_text = """\
This is a long description
that spans multiple lines
and should be formatted with pipe style"""
model = SimpleModel(
name="Test",
age=25,
active=False,
multiline_text=multiline_text,
)
yaml_file = tmp_path / "test.yaml"
dump_pydantic_to_yaml(model, yaml_file)
assert yaml_file.read_text(encoding="utf-8") == """\
active: false
age: 25
multiline_text: |-
This is a long description
that spans multiple lines
and should be formatted with pipe style
name: Test
"""
def test_list_indentation(tmp_path: Path):
"""Test that lists in mappings are properly indented."""
model = SimpleModel(
name="Test",
age=25,
active=True,
items=["item1", "item2", "item3"],
)
yaml_file = tmp_path / "test.yaml"
dump_pydantic_to_yaml(model, yaml_file)
expected = """\
active: true
age: 25
items:
- item1
- item2
- item3
name: Test
"""
assert yaml_file.read_text(encoding="utf-8") == expected
def test_empty_list_formatting(tmp_path: Path):
"""Test that empty lists are formatted properly."""
model = SimpleModel(
name="Test",
age=25,
active=True,
items=[],
)
yaml_file = tmp_path / "test.yaml"
dump_pydantic_to_yaml(model, yaml_file)
expected = """\
active: true
age: 25
items: []
name: Test
"""
assert yaml_file.read_text(encoding="utf-8") == expected
def test_non_ascii_character_preservation(tmp_path: Path):
"""Test that non-ASCII characters are preserved in YAML output."""
model = SimpleModel(
name="你好世界", # Chinese
age=30,
active=True,
multiline_text="🌍 Hello World 🌏\nこんにちは世界\nHola Mundo 🌎",
items=["Château", "naïve", "café", "🎉"],
)
yaml_file = tmp_path / "test.yaml"
dump_pydantic_to_yaml(model, yaml_file)
assert yaml_file.read_text(encoding="utf-8") == """\
active: true
age: 30
items:
- Château
- naïve
- café
- 🎉
multiline_text: |-
🌍 Hello World 🌏
こんにちは世界
Hola Mundo 🌎
name: 你好世界
"""