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

117 lines
3.7 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 the pre-packaged BigQuery skill."""
from __future__ import annotations
import re
from google.adk.skills._utils import _validate_skill_dir
from google.adk.tools.bigquery.bigquery_skill import _SKILL_DIR
from google.adk.tools.bigquery.bigquery_skill import get_bigquery_skill
from google.adk.tools.skill_toolset import ListSkillsTool
from google.adk.tools.skill_toolset import LoadSkillResourceTool
from google.adk.tools.skill_toolset import LoadSkillTool
from google.adk.tools.skill_toolset import RunSkillScriptTool
from google.adk.tools.skill_toolset import SkillToolset
import pytest
def test_get_bigquery_skill_returns_valid_skill():
"""Verify get_bigquery_skill returns a Skill with expected fields."""
skill = get_bigquery_skill()
assert skill.name == "bigquery-ai-ml"
assert skill.description
assert len(skill.description) > 0
assert skill.instructions
assert len(skill.instructions) > 0
def test_skill_name_matches_spec():
"""Verify skill name is kebab-case and matches directory name."""
skill = get_bigquery_skill()
# Name must be kebab-case
assert re.fullmatch(r"[a-z][a-z0-9]*(-[a-z0-9]+)*", skill.name)
# Name must match the directory name
assert skill.name == _SKILL_DIR.name
def test_skill_has_expected_references():
"""Verify all expected reference files are present and non-empty."""
skill = get_bigquery_skill()
expected_refs = {
"bigquery_ai_classify.md",
"bigquery_ai_detect_anomalies.md",
"bigquery_ai_forecast.md",
"bigquery_ai_generate.md",
"bigquery_ai_generate_bool.md",
"bigquery_ai_generate_double.md",
"bigquery_ai_generate_int.md",
"bigquery_ai_if.md",
"bigquery_ai_score.md",
"bigquery_ai_search.md",
"bigquery_ai_similarity.md",
}
actual_refs = set(skill.resources.list_references())
assert expected_refs == actual_refs
for ref_name in expected_refs:
content = skill.resources.get_reference(ref_name)
assert content is not None, f"Reference {ref_name} returned None"
assert len(content) > 0, f"Reference {ref_name} is empty"
@pytest.mark.asyncio
async def test_skill_works_with_skill_toolset():
"""Verify the skill integrates with SkillToolset and produces 4 tools."""
skill = get_bigquery_skill()
toolset = SkillToolset(skills=[skill])
tools = await toolset.get_tools()
assert len(tools) == 4
tool_types = {type(t) for t in tools}
expected_types = {
ListSkillsTool,
LoadSkillTool,
LoadSkillResourceTool,
RunSkillScriptTool,
}
assert tool_types == expected_types
def test_skill_passes_validation():
"""Verify the skill directory passes ADK's built-in validator."""
problems = _validate_skill_dir(_SKILL_DIR)
assert not problems, f"Validation problems: {problems}"
def test_skill_frontmatter_has_license():
"""Verify the skill includes a license field."""
skill = get_bigquery_skill()
assert skill.frontmatter.license == "Apache-2.0"
def test_skill_frontmatter_has_metadata():
"""Verify the skill includes author and version metadata."""
skill = get_bigquery_skill()
assert "author" in skill.frontmatter.metadata
assert "version" in skill.frontmatter.metadata