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"""
Tests for successful installation of the package.
"""
import shutil
import subprocess
import sys
import venv
from pathlib import Path
import pytest
# Define the directory for the virtual environment.
VENV_DIR = "./venv_test_installation"
@pytest.fixture(scope="module", autouse=True)
def venv_setup_teardown():
"""
A pytest fixture that sets up and tears down a virtual environment for testing.
This fixture is automatically used for all tests in this module.
The fixture:
- Creates a virtual environment.
- Installs Poetry in the virtual environment.
- Installs dependencies using Poetry.
- Cleans up by removing the virtual environment after tests are completed.
"""
try:
# Create a virtual environment with pip available.
venv.create(VENV_DIR, with_pip=True, clear=True)
# Install Poetry in the virtual environment.
subprocess.run(
[f"{VENV_DIR}/bin/python", "-m", "pip", "install", "poetry"], check=True
)
# Install the package and its dependencies using Poetry.
subprocess.run([f"{VENV_DIR}/bin/poetry", "install"], cwd=".", check=True)
# Provide the setup environment to the test functions.
yield
except Exception as e:
# Skip tests if the environment setup fails.
pytest.skip(f"Could not create venv or install dependencies: {str(e)}")
finally:
# Clean up by removing the virtual environment after tests.
shutil.rmtree(VENV_DIR)
def test_installation():
"""
Test to ensure that the package can be installed using Poetry in the virtual environment.
"""
# Determine the correct Poetry executable path based on the operating system.
poetry_executable = (
f"{VENV_DIR}/bin/poetry"
if sys.platform != "win32"
else f"{VENV_DIR}/Scripts/poetry.exe"
)
# Run Poetry install and capture its output.
result = subprocess.run([poetry_executable, "install"], capture_output=True)
# Assert that the installation was successful.
assert (
result.returncode == 0
), f"Install via poetry failed: {result.stderr.decode()}"
def test_cli_execution():
"""
Test to verify that the command-line interface (CLI) of the package works as expected.
This test assumes that the 'gpt-engineer' command is available and operational after installation.
"""
# Run the 'gpt-engineer' command with the '--help' option and capture its output.
result = subprocess.run(
args=["gpt-engineer", "--help"], capture_output=True, text=True
)
# Assert that the CLI command executed successfully.
assert (
result.returncode == 0
), f"gpt-engineer command failed with message: {result.stderr}"
@pytest.mark.requires_key
def test_installed_main_execution(tmp_path, monkeypatch):
# Ignore git installation check
monkeypatch.setattr("gpt_engineer.core.git.is_git_installed", lambda: False)
tmp_path = Path(tmp_path)
p = tmp_path / "projects/example"
p.mkdir(parents=True)
(p / "prompt").write_text("make a program that prints the outcome of 4+4")
proc = subprocess.Popen(
["gpte", str(p)],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
text=True,
cwd=tmp_path,
)
inputs = "Y\nn"
output, _ = proc.communicate(inputs)
assert "8" in output
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