"""Pytest configuration and fixtures for LinkedIn MCP Server tests."""
from typing import Any
from unittest.mock import AsyncMock, MagicMock
import pytest
@pytest.fixture
def mock_linkedin_client() -> MagicMock:
"""Create a mock LinkedIn client."""
client = MagicMock()
client.rate_limit_remaining = 800
# Mock async methods
client.get_own_profile = AsyncMock(return_value={
"firstName": "John",
"lastName": "Doe",
"headline": "Software Engineer",
"summary": "Test summary",
"locationName": "San Francisco, CA",
"industryName": "Technology",
"experience": [{"companyName": "Test Corp"}],
"education": [{"schoolName": "Test University"}],
"skills": [
{"name": "Python", "endorsementCount": 50},
{"name": "JavaScript", "endorsementCount": 30},
],
"followerCount": 1000,
})
client.get_profile = AsyncMock(return_value={
"firstName": "Jane",
"lastName": "Smith",
"headline": "Product Manager",
"summary": "Product expert",
"followerCount": 2000,
})
client.get_feed = AsyncMock(return_value=[
{
"urn": "urn:li:activity:123",
"commentary": "Test post #technology",
"numLikes": 50,
"numComments": 10,
},
{
"urn": "urn:li:activity:456",
"commentary": "Another test post",
"numLikes": 100,
"numComments": 25,
},
])
client.get_profile_posts = AsyncMock(return_value=[
{
"urn": "urn:li:activity:789",
"commentary": "Profile post #AI #technology",
"numLikes": 75,
"numComments": 15,
"created": "2024-01-15T10:00:00Z",
},
])
client.get_post_reactions = AsyncMock(return_value=[
{"reactionType": "LIKE"},
{"reactionType": "LIKE"},
{"reactionType": "CELEBRATE"},
])
client.get_post_comments = AsyncMock(return_value=[
{"text": "Great post!", "commenter": {"id": "user1"}},
{"text": "Thanks for sharing", "commenter": {"id": "user2"}},
])
client.get_profile_connections = AsyncMock(return_value=[
{"firstName": "Alice", "industry": "Technology", "locationName": "NYC"},
{"firstName": "Bob", "industry": "Finance", "locationName": "NYC"},
])
client.create_post = AsyncMock(return_value={
"urn": "urn:li:activity:999",
"created": "2024-01-20T12:00:00Z",
})
client.react_to_post = AsyncMock(return_value=None)
client.comment_on_post = AsyncMock(return_value={"urn": "urn:li:comment:111"})
client.send_message = AsyncMock(return_value={"success": True})
return client
@pytest.fixture
def sample_post() -> dict[str, Any]:
"""Sample post data for testing."""
return {
"urn": "urn:li:activity:123456",
"commentary": "This is a test post about #AI and #technology. What do you think?",
"numLikes": 150,
"numComments": 25,
"numShares": 10,
"created": "2024-01-15T10:30:00Z",
}
@pytest.fixture
def sample_profile() -> dict[str, Any]:
"""Sample profile data for testing."""
return {
"firstName": "John",
"lastName": "Doe",
"headline": "Senior Software Engineer | Python | AI/ML",
"summary": "Passionate about building great software.",
"locationName": "San Francisco Bay Area",
"industryName": "Information Technology & Services",
"experience": [
{
"companyName": "Tech Corp",
"title": "Senior Engineer",
"startDate": {"year": 2020, "month": 1},
}
],
"education": [
{
"schoolName": "Stanford University",
"fieldOfStudy": "Computer Science",
}
],
"skills": [
{"name": "Python", "endorsementCount": 99},
{"name": "Machine Learning", "endorsementCount": 75},
{"name": "AWS", "endorsementCount": 50},
],
"followerCount": 5000,
"connectionCount": 500,
}
@pytest.fixture
def sample_reactions() -> list[dict[str, Any]]:
"""Sample reaction data for testing."""
return [
{"reactionType": "LIKE"},
{"reactionType": "LIKE"},
{"reactionType": "LIKE"},
{"reactionType": "CELEBRATE"},
{"reactionType": "CELEBRATE"},
{"reactionType": "SUPPORT"},
{"reactionType": "INSIGHTFUL"},
]
@pytest.fixture
def sample_comments() -> list[dict[str, Any]]:
"""Sample comment data for testing."""
return [
{
"text": "Great insights!",
"commenter": {
"publicIdentifier": "user1",
"industry": "Technology",
"headline": "CEO at Startup",
},
},
{
"text": "Very helpful, thanks!",
"commenter": {
"publicIdentifier": "user2",
"industry": "Technology",
"headline": "Software Engineer",
},
},
{
"text": "Interesting perspective",
"commenter": {
"publicIdentifier": "user3",
"industry": "Finance",
"headline": "VP at Bank",
},
},
]
