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"""
Unit tests for the gradio module.
"""
import unittest
from pathlib import Path
from unittest.mock import patch
from functions import gradio
class TestProcessInputs(unittest.TestCase):
"""Test cases for the process_inputs function."""
def test_process_inputs_with_real_pdf(self):
"""Test process_inputs with the actual test PDF file."""
# Get path to the test PDF file
test_pdf_path = Path(__file__).parent / "test_data" / "linkedin_profile.pdf"
# Skip test if PDF doesn't exist (optional test data)
if not test_pdf_path.exists():
self.skipTest(f"Test PDF file not found: {test_pdf_path}")
with patch('functions.gradio.extract_text') as mock_extract, \
patch('functions.gradio.get_github_repositories') as mock_github, \
patch('functions.gradio.summarize_job_call') as mock_job_call, \
patch('functions.gradio.write_resume') as mock_write_resume:
mock_extract.return_value = {"test": "data"}
mock_github.return_value = [{"name": "test-repo"}]
mock_job_call.return_value = {"title": "Software Engineer", "requirements": ["Python"]}
mock_write_resume.return_value = "# Generated Resume\n\nTest resume content"
result = gradio.process_inputs(
linkedin_pdf_path=str(test_pdf_path),
github_username="testuser",
job_post_text="Software engineer position"
)
# Verify all functions were called
mock_extract.assert_called_once_with(str(test_pdf_path))
mock_github.assert_called_once_with("testuser")
mock_job_call.assert_called_once_with("Software engineer position")
mock_write_resume.assert_called_once_with(
{"test": "data"},
[{"name": "test-repo"}],
{"title": "Software Engineer", "requirements": ["Python"]}
)
# Function should return the generated resume
self.assertEqual(result, "# Generated Resume\n\nTest resume content")
@patch('functions.gradio.write_resume')
@patch('functions.gradio.summarize_job_call')
@patch('functions.gradio.extract_text')
@patch('functions.gradio.get_github_repositories')
def test_process_inputs_with_pdf_path_mocked(
self,
mock_github,
mock_extract,
mock_job_call,
mock_write_resume
):
"""Test process_inputs with a PDF file path (mocked for controlled testing)."""
# Mock successful LinkedIn text extraction
mock_extract.return_value = {
"contact_info": "John Doe, [email protected]",
"summary": "Experienced software engineer",
"experience": "Software Engineer at Company"
}
mock_github.return_value = [{"name": "test-repo"}]
mock_job_call.return_value = {
"title": "Software Engineer",
"requirements": ["Python", "JavaScript"]
}
mock_write_resume.return_value = "# John Doe\n\n## Summary\nExperienced software engineer"
result = gradio.process_inputs(
linkedin_pdf_path="/path/to/resume.pdf",
github_username="testuser",
job_post_text="Software engineer position"
)
# Verify extract_text was called with the correct path
mock_extract.assert_called_once_with("/path/to/resume.pdf")
# Verify get_github_repositories was called with username
mock_github.assert_called_once_with("testuser")
# Verify job post was processed
mock_job_call.assert_called_once_with("Software engineer position")
# Verify resume generation was called with correct arguments
mock_write_resume.assert_called_once()
# Function should return the generated resume content
self.assertEqual(result, "# John Doe\n\n## Summary\nExperienced software engineer")
@patch('functions.gradio.write_resume')
@patch('functions.gradio.summarize_job_call')
@patch('functions.gradio.extract_text')
@patch('functions.gradio.get_github_repositories')
def test_process_inputs_extraction_failure(
self, mock_github,
mock_extract,
mock_job_call,
mock_write_resume
):
"""Test process_inputs when LinkedIn extraction fails."""
# Mock failed LinkedIn text extraction
mock_extract.return_value = None
mock_github.return_value = None
mock_job_call.return_value = None
result = gradio.process_inputs(
linkedin_pdf_path="/path/to/resume.pdf",
github_username="testuser",
job_post_text="Software engineer position"
)
# Verify extract_text was called
mock_extract.assert_called_once_with("/path/to/resume.pdf")
mock_github.assert_called_once_with("testuser")
mock_job_call.assert_called_once_with("Software engineer position")
# write_resume should NOT be called when data is missing
mock_write_resume.assert_not_called()
# Function should return empty string when processing fails
self.assertEqual(result, "")
@patch('functions.gradio.write_resume')
@patch('functions.gradio.summarize_job_call')
@patch('functions.gradio.extract_text')
@patch('functions.gradio.get_github_repositories')
def test_process_inputs_no_pdf_path(
self,
mock_github,
mock_extract,
mock_job_call,
mock_write_resume
):
"""Test process_inputs with no PDF path provided."""
mock_extract.return_value = None
mock_github.return_value = []
mock_job_call.return_value = {"title": "Software Engineer"}
result = gradio.process_inputs(
linkedin_pdf_path=None,
github_username="testuser",
job_post_text="Software engineer position"
)
# extract_text should be called with None
mock_extract.assert_called_once_with(None)
mock_github.assert_called_once_with("testuser")
mock_job_call.assert_called_once_with("Software engineer position")
# write_resume should NOT be called when LinkedIn data is missing
mock_write_resume.assert_not_called()
# Function should return empty string when data is insufficient
self.assertEqual(result, "")
@patch('functions.gradio.write_resume')
@patch('functions.gradio.summarize_job_call')
@patch('functions.gradio.extract_text')
@patch('functions.gradio.get_github_repositories')
def test_process_inputs_with_long_job_post(
self,
mock_github,
mock_extract,
mock_job_call,
mock_write_resume
):
"""Test process_inputs with a long job post text (for logging truncation)."""
mock_extract.return_value = {
"summary": "Test summary"
}
mock_github.return_value = []
mock_job_call.return_value = {"title": "Software Engineer", "requirements": ["Python"]}
long_job_post = "This is a very long job posting " * 50 # Make it longer than 100 chars
result = gradio.process_inputs(
linkedin_pdf_path="/path/to/resume.pdf",
github_username="testuser",
job_post_text=long_job_post
)
# Verify extract_text was called
mock_extract.assert_called_once_with("/path/to/resume.pdf")
mock_github.assert_called_once_with("testuser")
mock_job_call.assert_called_once_with(long_job_post.strip())
# write_resume should NOT be called when GitHub repos are empty
mock_write_resume.assert_not_called()
# Function should return empty string when GitHub data is missing
self.assertEqual(result, "")
@patch('functions.gradio.write_resume')
@patch('functions.gradio.summarize_job_call')
@patch('functions.gradio.extract_text')
@patch('functions.gradio.get_github_repositories')
def test_process_inputs_github_username_whitespace(
self,
mock_github,
mock_extract,
mock_job_call,
mock_write_resume
):
"""Test that github_username is properly stripped of whitespace."""
mock_extract.return_value = None
mock_github.return_value = []
mock_job_call.return_value = {"title": "Engineer"}
result = gradio.process_inputs(
linkedin_pdf_path=None,
github_username=" testuser ",
job_post_text=""
)
# Verify get_github_repositories was called with stripped username
mock_github.assert_called_once_with("testuser")
mock_write_resume.assert_not_called()
self.assertEqual(result, "")
@patch('functions.gradio.write_resume')
@patch('functions.gradio.summarize_job_call')
@patch('functions.gradio.extract_text')
@patch('functions.gradio.get_github_repositories')
@patch('logging.getLogger')
def test_logging_calls(
self,
mock_get_logger,
mock_github,
mock_extract,
mock_job_call,
mock_write_resume
):
"""Test that appropriate logging calls are made."""
mock_logger = mock_get_logger.return_value
mock_extract.return_value = {"test": "data"}
mock_github.return_value = [{"name": "repo"}]
mock_job_call.return_value = {"title": "Engineer"}
mock_write_resume.return_value = "# Resume Content"
result = gradio.process_inputs(
linkedin_pdf_path="/path/to/resume.pdf",
github_username="testuser",
job_post_text="Job description here"
)
# Verify logging calls were made
mock_logger.info.assert_called()
# Verify resume was generated successfully
self.assertEqual(result, "# Resume Content")
@patch('functions.gradio.write_resume')
@patch('functions.gradio.summarize_job_call')
@patch('functions.gradio.extract_text')
@patch('functions.gradio.get_github_repositories')
def test_process_inputs_write_resume_exception(
self,
mock_github,
mock_extract,
mock_job_call,
mock_write_resume
):
"""Test process_inputs when write_resume raises an exception."""
mock_extract.return_value = {"test": "data"}
mock_github.return_value = [{"name": "repo"}]
mock_job_call.return_value = {"title": "Engineer"}
mock_write_resume.side_effect = Exception("API Error")
result = gradio.process_inputs(
linkedin_pdf_path="/path/to/resume.pdf",
github_username="testuser",
job_post_text="Job description here"
)
# Verify all functions were called
mock_extract.assert_called_once_with("/path/to/resume.pdf")
mock_github.assert_called_once_with("testuser")
mock_job_call.assert_called_once_with("Job description here")
mock_write_resume.assert_called_once()
# Function should return empty string when write_resume fails
self.assertEqual(result, "")
@patch('functions.gradio.write_resume')
@patch('functions.gradio.summarize_job_call')
@patch('functions.gradio.extract_text')
@patch('functions.gradio.get_github_repositories')
def test_process_inputs_complete_success_flow(
self,
mock_github,
mock_extract,
mock_job_call,
mock_write_resume
):
"""Test the complete successful flow with all components working."""
# Mock all successful responses
linkedin_data = {
"contact_info": "Jane Doe, [email protected]",
"summary": "Senior Python Developer",
"experience": "5 years experience in Python development"
}
github_repos = [
{"name": "awesome-python-app", "description": "A Python web application"},
{"name": "data-analysis-tool", "description": "Data analysis with pandas"}
]
job_data = {
"title": "Senior Python Developer",
"requirements": ["Python", "Django", "PostgreSQL"],
"company": "Tech Corp"
}
resume_content = (
"# Jane Doe\n\n## Experience\n"
"Senior Python Developer with 5 years experience..."
)
mock_extract.return_value = linkedin_data
mock_github.return_value = github_repos
mock_job_call.return_value = job_data
mock_write_resume.return_value = resume_content
result = gradio.process_inputs(
linkedin_pdf_path="/path/to/jane_resume.pdf",
github_username="jane_dev",
job_post_text="We are looking for a Senior Python Developer with Django experience..."
)
# Verify all functions were called with correct arguments
mock_extract.assert_called_once_with("/path/to/jane_resume.pdf")
mock_github.assert_called_once_with("jane_dev")
mock_job_call.assert_called_once_with(
"We are looking for a Senior Python Developer with Django experience..."
)
mock_write_resume.assert_called_once_with(linkedin_data, github_repos, job_data)
# Verify the complete resume is returned
self.assertEqual(result, resume_content)
self.assertIn("Jane Doe", result)
self.assertIn("Senior Python Developer", result)
@patch('functions.gradio.write_resume')
@patch('functions.gradio.summarize_job_call')
@patch('functions.gradio.extract_text')
@patch('functions.gradio.get_github_repositories')
def test_process_inputs_none_github_username(
self,
mock_github,
mock_extract,
mock_job_call,
mock_write_resume
):
"""Test process_inputs with None github_username (should handle gracefully)."""
mock_extract.return_value = None
mock_github.return_value = None
mock_job_call.return_value = None
# This should raise a TypeError due to the bug in gradio.py
# where it tries to slice job_post_text[:100] when job_post_text is None
with self.assertRaises(TypeError):
gradio.process_inputs(
linkedin_pdf_path=None,
github_username=None,
job_post_text=None
)
if __name__ == '__main__':
unittest.main()
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