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chore: import upstream snapshot with attribution
2026-07-13 12:46:28 +08:00

192 lines
6.9 KiB
Python

#!/usr/bin/env python3
"""
Tests for Haystack Adaptor
"""
import json
import pytest
from skill_seekers.cli.adaptors import get_adaptor
from skill_seekers.cli.adaptors.base import SkillMetadata
class TestHaystackAdaptor:
"""Test suite for HaystackAdaptor class."""
def test_adaptor_registration(self):
"""Test that Haystack adaptor is registered."""
adaptor = get_adaptor("haystack")
assert adaptor.PLATFORM == "haystack"
assert adaptor.PLATFORM_NAME == "Haystack (RAG Framework)"
def test_format_skill_md(self, tmp_path):
"""Test formatting SKILL.md as Haystack Documents."""
# Create test skill directory
skill_dir = tmp_path / "test_skill"
skill_dir.mkdir()
# Create SKILL.md
skill_md = skill_dir / "SKILL.md"
skill_md.write_text("# Test Skill\n\nThis is a test skill for Haystack format.")
# Create references directory with files
refs_dir = skill_dir / "references"
refs_dir.mkdir()
(refs_dir / "getting_started.md").write_text("# Getting Started\n\nQuick start.")
(refs_dir / "api.md").write_text("# API Reference\n\nAPI docs.")
# Format as Haystack Documents
adaptor = get_adaptor("haystack")
metadata = SkillMetadata(name="test_skill", description="Test skill", version="1.0.0")
documents_json = adaptor.format_skill_md(skill_dir, metadata)
# Parse and validate
documents = json.loads(documents_json)
assert len(documents) == 3 # SKILL.md + 2 references
# Check document structure
for doc in documents:
assert "content" in doc
assert "meta" in doc
assert doc["meta"]["source"] == "test_skill"
assert doc["meta"]["version"] == "1.0.0"
assert "category" in doc["meta"]
assert "file" in doc["meta"]
assert "type" in doc["meta"]
# Check categories
categories = {doc["meta"]["category"] for doc in documents}
assert "overview" in categories # From SKILL.md
assert "getting started" in categories or "api" in categories # From references
def test_package_creates_json(self, tmp_path):
"""Test packaging skill into JSON file."""
# Create test skill
skill_dir = tmp_path / "test_skill"
skill_dir.mkdir()
(skill_dir / "SKILL.md").write_text("# Test\n\nTest content.")
# Package
adaptor = get_adaptor("haystack")
output_path = adaptor.package(skill_dir, tmp_path)
# Verify output
assert output_path.exists()
assert output_path.suffix == ".json"
assert "haystack" in output_path.name
# Verify content
with open(output_path) as f:
documents = json.load(f)
assert isinstance(documents, list)
assert len(documents) > 0
assert "content" in documents[0]
assert "meta" in documents[0]
def test_package_output_filename(self, tmp_path):
"""Test package output filename generation."""
skill_dir = tmp_path / "react"
skill_dir.mkdir()
(skill_dir / "SKILL.md").write_text("# React\n\nReact docs.")
adaptor = get_adaptor("haystack")
# Test directory output
output_path = adaptor.package(skill_dir, tmp_path)
assert output_path.name == "react-haystack.json"
# Test with .zip extension (should replace)
output_path = adaptor.package(skill_dir, tmp_path / "test.zip")
assert output_path.suffix == ".json"
assert "haystack" in output_path.name
def test_upload_returns_message(self, tmp_path):
"""Test upload returns instructions (no actual upload)."""
# Create test package
package_path = tmp_path / "test-haystack.json"
package_path.write_text("[]")
adaptor = get_adaptor("haystack")
result = adaptor.upload(package_path, "fake-key")
assert result["success"] is False # No upload capability
assert result["skill_id"] is None
assert "message" in result
assert "from haystack import Document" in result["message"]
assert "InMemoryDocumentStore" in result["message"]
assert 'raw_package["documents"] if isinstance(raw_package, dict)' in result["message"]
def test_upload_snippet_selector_supports_streaming_and_standard_packages(self):
"""The copy-paste upload snippet must handle both package shapes."""
documents = [{"content": "content", "meta": {"source": "test"}}]
for raw_package in (documents, {"documents": documents, "streaming": True}):
docs_data = raw_package["documents"] if isinstance(raw_package, dict) else raw_package
assert docs_data == documents
def test_validate_api_key_returns_false(self):
"""Test that API key validation returns False (no API needed)."""
adaptor = get_adaptor("haystack")
assert adaptor.validate_api_key("any-key") is False
def test_get_env_var_name_returns_empty(self):
"""Test that env var name is empty (no API needed)."""
adaptor = get_adaptor("haystack")
assert adaptor.get_env_var_name() == ""
def test_supports_enhancement_returns_false(self):
"""Test that enhancement is not supported."""
adaptor = get_adaptor("haystack")
assert adaptor.supports_enhancement() is False
def test_enhance_returns_false(self, tmp_path):
"""Test that enhance returns False."""
skill_dir = tmp_path / "test_skill"
skill_dir.mkdir()
adaptor = get_adaptor("haystack")
result = adaptor.enhance(skill_dir, "fake-key")
assert result is False
def test_empty_skill_directory(self, tmp_path):
"""Test handling of empty skill directory."""
skill_dir = tmp_path / "empty_skill"
skill_dir.mkdir()
adaptor = get_adaptor("haystack")
metadata = SkillMetadata(name="empty_skill", description="Empty", version="1.0.0")
documents_json = adaptor.format_skill_md(skill_dir, metadata)
documents = json.loads(documents_json)
# Should return empty list
assert documents == []
def test_references_only(self, tmp_path):
"""Test skill with references but no SKILL.md."""
skill_dir = tmp_path / "refs_only"
skill_dir.mkdir()
refs_dir = skill_dir / "references"
refs_dir.mkdir()
(refs_dir / "test.md").write_text("# Test\n\nTest content.")
adaptor = get_adaptor("haystack")
metadata = SkillMetadata(name="refs_only", description="Refs only", version="1.0.0")
documents_json = adaptor.format_skill_md(skill_dir, metadata)
documents = json.loads(documents_json)
assert len(documents) == 1
assert documents[0]["meta"]["category"] == "test"
assert documents[0]["meta"]["type"] == "reference"
if __name__ == "__main__":
pytest.main([__file__, "-v"])