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钱忱 2024-06-19 13:00:05 +08:00
parent fd00a41dbf
commit ed30bdafe6

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chatdev/eval_quality.py Normal file
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import os
import re
import signal
import subprocess
import time
import numpy as np
from openai import OpenAI
client = OpenAI(
api_key='',
base_url="",
)
def getFilesFromType(sourceDir, filetype):
files = []
for root, directories, filenames in os.walk(sourceDir):
for filename in filenames:
if filename.endswith(filetype):
files.append(os.path.join(root, filename))
return files
def get_code(directory):
def _format_code(code):
code = "\n".join([line for line in code.split("\n") if len(line.strip()) > 0])
return code
codebooks = {}
filepaths = getFilesFromType(directory, ".py")
for filepath in filepaths:
filename = os.path.basename(filepath)
codebooks[filename] = _format_code(open(filepath, "r", encoding="utf-8").read())
code = ""
for filename in codebooks.keys():
code += "{}\n```Python\n{}\n```\n\n".format(filename, codebooks[filename])
if len(code) == 0:
code = "# None"
return code.strip()
def get_completeness(directory):
assert os.path.isdir(directory)
vn = get_code(directory)
lines = vn.split("\n")
lines = [line for line in lines if
"password" not in line.lower() and "passenger" not in line.lower() and "passed" not in line.lower() and "passes" not in line.lower()]
lines = [line for line in lines if "pass" in line.lower() or "todo" in line.lower()]
if len(lines) > 0:
return 0.0
return 1.0
def get_executability(directory):
assert os.path.isdir(directory)
def findFile(directory, target):
main_py_path = None
for subroot, _, filenames in os.walk(directory):
for filename in filenames:
if target in filename:
main_py_path = os.path.join(subroot, filename)
return main_py_path
def exist_bugs(directory):
assert os.path.isdir(directory)
success_info = "The software run successfully without errors."
try:
command = "cd \"{}\"; ls -l; python3 main.py;".format(directory)
process = subprocess.Popen(command, shell=True, preexec_fn=os.setsid, stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
time.sleep(3)
error_type = ""
return_code = process.returncode
if process.poll() is None:
os.killpg(os.getpgid(process.pid), signal.SIGTERM)
if return_code == 0:
return False, success_info, error_type
else:
error_output = process.stderr.read().decode('utf-8')
try:
error_pattern = r'\w+Error:'
error_matches = re.findall(error_pattern, error_output)
error_type = error_matches[0].replace(":", "")
except:
pass
if error_output:
if "Traceback".lower() in error_output.lower():
errs = error_output.replace(directory + "/", "")
return True, errs, error_type
else:
return False, success_info, error_type
except subprocess.CalledProcessError as e:
return True, f"Error: {e}", "subprocess.CalledProcessError"
except Exception as ex:
return True, f"An error occurred: {ex}", "OtherException"
return False, success_info, error_type
main_py_path = findFile(directory, ".py")
pass_flag, error_type = True, ""
if main_py_path is not None:
main_py_path = os.path.dirname(main_py_path)
bug_flag, info, error_type = exist_bugs(main_py_path)
pass_flag = not bug_flag
else:
pass_flag, error_type = False, "NoMain"
if error_type == "":
error_type = info.replace("\n", "\\n")
if pass_flag:
return 1.0
return 0.0
def get_consistency(directory):
def remove_comments(string):
def remove_comments_by_regex(string, regex):
lines = string.split("\n")
lines = [line for line in lines if not line.strip().startswith("#")]
string = "\n".join(lines)
comments = []
matches = re.finditer(regex, string, re.DOTALL)
for match in matches:
group1 = match.group(1)
comments.append(group1)
for comment in comments + ["''''''\n"]:
string = string.replace(comment, "")
return string
string = remove_comments_by_regex(string, r"'''(.*?)'''")
string = remove_comments_by_regex(string, r"\"\"\"(.*?)\"\"\"")
return string
def get_text_embedding(text: str):
if text == "":
text = "None"
ada_embedding = client.embeddings.create(input=text, model="text-embedding-ada-002").model_dump()['data'][0]['embedding']
return ada_embedding
def get_code_embedding(code: str):
if code == "":
code = "#"
ada_embedding = client.embeddings.create(input=code, model="text-embedding-ada-002").model_dump()['data'][0]['embedding']
return ada_embedding
def get_cosine_similarity(embeddingi, embeddingj):
embeddingi = np.array(embeddingi)
embeddingj = np.array(embeddingj)
cos_sim = embeddingi.dot(embeddingj) / (np.linalg.norm(embeddingi) * np.linalg.norm(embeddingj))
return cos_sim
assert os.path.isdir(directory)
files = getFilesFromType(directory, ".txt")
if len(files) == 0:
print()
filepath = files[0]
task = open(filepath).read().strip()
codes = get_code(directory)
codes = remove_comments(codes)
text_embedding = get_text_embedding(task)
code_embedding = get_code_embedding(codes)
task_code_alignment = get_cosine_similarity(text_embedding, code_embedding)
return task_code_alignment
def main(warehouse_root):
def write_string(string):
writer.write(string)
print(string, end="")
directories = []
for directory in os.listdir(warehouse_root):
directories.append(os.path.join(warehouse_root, directory))
directories = sorted(directories)
directories = [directory for directory in directories if os.path.isdir(directory)]
print("len(directories):", len(directories))
suffix = warehouse_root.replace("/", "__").replace("-", "_")
tsv_file = __file__.replace(".py", ".{}.tsv".format(suffix))
print("tsv_file:", tsv_file)
counter = 0
completeness_list, executability_list, consistency_list = [], [], []
with open(tsv_file, "a", encoding="utf-8") as writer:
for i, directory in enumerate(directories):
directory_basename = os.path.basename(directory)
completeness = get_completeness(directory)
executability = get_executability(directory)
consistency = get_consistency(directory)
completeness_list.append(completeness)
executability_list.append(executability)
consistency_list.append(consistency)
counter += 1
main(warehouse_root = "./WareHouse")