2025-03-11 14:37:26 +08:00

116 lines
3.1 KiB
Python

# ruff: noqa: E402 I001
import os
import sys
import click
from cache import LocalCache
import openai
sys.path.append(os.path.dirname(__file__))
from i18n import TUILanguage, get_translation
from model import (
FuncToTest,
TokenBudgetExceededException,
UserCancelledException,
)
from ut_workflow import UnitTestsWorkflow
from lib.chatmark import Step
from lib.ide_service import IDEService
CHAT_WORKFLOW_DIR_PATH = [".chat", "workflows"]
@click.command()
@click.argument("input", required=True)
def main(input: str):
"""
The main entry point for the unit tests generation workflow.
"/unit_tests {a}:::{b}:::{c}:::{d}:::{e}:::{f}"
"""
# Parse input
try:
params = input.strip().split(":::")
assert len(params) == 6, f"Invalid input: {input}, number of params: {len(params)}"
(
file_path,
func_name,
func_start_line, # 0-based, inclusive
func_end_line, # 0-based, inclusive
container_start_line, # 0-based, inclusive
container_end_line, # 0-based, inclusive
) = params
func_start_line = int(func_start_line)
func_end_line = int(func_end_line)
container_start_line = int(container_start_line)
container_end_line = int(container_end_line)
except Exception as e:
readme = os.path.join(os.path.dirname(__file__), "README.md")
if os.path.exists(readme):
with open(readme, "r", encoding="utf-8") as f:
readme_text = f.read()
print(readme_text)
return
else:
raise Exception(f"Invalid input: {input}, error: {e}")
user_prompt = f"Help me write unit tests for the `{func_name}` function"
repo_root = os.getcwd()
ide_lang = IDEService().ide_language()
local_cache = LocalCache("unit_tests", os.path.join(repo_root, *CHAT_WORKFLOW_DIR_PATH))
tui_lang = TUILanguage.from_str(ide_lang)
_i = get_translation(tui_lang)
# Use relative path in inner logic
if os.path.isabs(file_path):
file_path = os.path.relpath(file_path, repo_root)
func_to_test = FuncToTest(
func_name=func_name,
repo_root=repo_root,
file_path=file_path,
func_start_line=func_start_line,
func_end_line=func_end_line,
container_start_line=container_start_line,
container_end_line=container_end_line,
)
try:
workflow = UnitTestsWorkflow(
user_prompt,
func_to_test,
repo_root,
tui_lang,
local_cache,
)
workflow.run()
except TokenBudgetExceededException as e:
msg = _i("The function's size surpasses AI's context capacity.")
with Step(msg):
print(f"\n{e}\n", flush=True)
except UserCancelledException as e:
with Step(f"{e}"):
pass
except (openai.APIConnectionError, openai.APITimeoutError) as e:
msg = "Model API connection error. Please try again later."
with Step(msg):
print(f"\n{e}\n", flush=True)
except Exception as e:
raise e
if __name__ == "__main__":
main()