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import subprocess | |
import re | |
import pandas as pd | |
import plotly.express as px | |
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
from prettytable import PrettyTable | |
import streamlit as st | |
#st.title('Code Generation on the CoNaLa Dataset') | |
import subprocess | |
import re | |
import pandas as pd | |
import plotly.express as px | |
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM | |
from prettytable import PrettyTable | |
#browser.gatherUsageStats=False | |
class CodeGenerator: | |
def __init__(self): | |
self.tokenizer = AutoTokenizer.from_pretrained("AhmedSSoliman/MarianCG-CoNaLa-Large") | |
self.model = AutoModelForSeq2SeqLM.from_pretrained("AhmedSSoliman/MarianCG-CoNaLa-Large") | |
def generate_code(self, nl_input): | |
input_ids = self.tokenizer.encode(nl_input, return_tensors="pt") | |
output_ids = self.model.generate(input_ids) | |
output_code = self.tokenizer.decode(output_ids[0], skip_special_tokens=True) | |
return output_code | |
def check_code(self, code): | |
with open("temp.py", "w") as f: | |
f.write(code) | |
result = subprocess.run(["flake8", "--count", "temp.py"], stdout=subprocess.PIPE, stderr=subprocess.PIPE) | |
output = result.stdout.decode() | |
error = result.stderr.decode() | |
return output | |
#return self._process_output(output, error) | |
def check_code_list(self, code_list): | |
output = "" | |
error = "" | |
for code in code_list: | |
with open("temp.py", "w") as f: | |
f.write(code) | |
result = subprocess.run(["flake8", "--count", "temp.py"], stdout=subprocess.PIPE, stderr=subprocess.PIPE) | |
output += result.stdout.decode() | |
error += result.stderr.decode() | |
return self._process_output(output, error) | |
def _process_output(self, output, error): | |
if output: | |
output_counts = self._get_error_counts(output) | |
self.show_variables_in_table(output_counts, output) | |
self.visualize_all_errors(output_counts) | |
self.visualize_error_types(output_counts) | |
return self._format_error_counts(output_counts) | |
else: | |
error_counts = self._get_error_counts(error) | |
self.show_variables_in_table(output_counts, output) | |
self.visualize_all_errors(error_counts) | |
self.visualize_error_types(error_counts) | |
return self._format_error_counts(error_counts) | |
def _get_error_counts(self, output): | |
error_counts = {} | |
error_messages = re.findall(r"temp.py:(\d+):\d+: (\w\d+)", output) | |
for message in error_messages: | |
error_type = message[1] | |
if error_type in error_counts: | |
error_counts[error_type] += 1 | |
else: | |
error_counts[error_type] = 1 | |
return error_counts | |
def _format_error_counts(self, error_counts): | |
error_message = "\n".join([f"{error_type}: {count}" for error_type, count in error_counts.items()]) | |
return error_message | |
def visualize_all_errors(self, error_counts): | |
for error_type, count in error_counts.items(): | |
print(f"{error_type}: {count}\n") | |
def visualize_error_types(self, error_counts): | |
df = pd.DataFrame({'Error Type': list(error_counts.keys()), 'Count': list(error_counts.values())}) | |
fig = px.bar(df, x='Count', y='Error Type', title='Error Occurrences in The Generated Code') | |
fig.update_layout( | |
title={ | |
'text': "Error Occurrences in The Generated Code", | |
'x': 0.5, | |
'y': 0.96, | |
'xanchor': 'center', | |
'yanchor': 'top' | |
}, | |
xaxis_title="Error Counts", | |
yaxis_title="Error Codes" | |
) | |
fig.show() | |
def show_variables_in_table(self, output_counts, output): | |
table = PrettyTable() | |
table.field_names = ["Error Code", "Message"] | |
table.add_row([output_counts, output]) | |
#table.add_row(["Error", error]) | |
print(table) | |
def display_variables(self, output, error): | |
output_df = pd.DataFrame({"Output": [output]}) | |
error_df = pd.DataFrame({"Error": [error]}) | |
display(pd.concat([output_df, error_df], axis=1)) | |
import autopep8 | |
import black | |
import isort | |
import pylint.lint | |
import autoimport | |
from yapf.yapflib.yapf_api import FormatCode # reformat a string of code | |
class PythonCodeFormatter: | |
def __init__(self, code): | |
self.code = code.replace('β', ' ').strip() | |
def load_code_from_file(self, filename): | |
# Load the code to be fixed | |
with open(filename, 'r') as f: | |
self.code = f.read() | |
def format(self): | |
try: | |
# Use isort to sort and organize the imports | |
formatted_code = isort.code(self.code) | |
# Use black to format the code | |
formatted_code = black.format_str(formatted_code, mode=black.Mode()) | |
# Use autoimport to add a missing import statement | |
formatted_code = autoimport.fix_code(formatted_code) | |
# Use autopep8 to fix any remaining issues | |
formatted_code = autopep8.fix_code(formatted_code) | |
formatted_code, changed = FormatCode(formatted_code) | |
return formatted_code | |
except RuntimeError as error: | |
if str(error) == 'Project root not found.': | |
return formatted_code | |
else: | |
raise # re-raise the error if it's not the one we're looking for | |
except ValueError as error: | |
return formatted_code | |
return formatted_code | |
def save(self, filename): | |
# Save the fixed code to a file | |
with open(filename, 'w') as f: | |
f.write(self.code) | |
code_generator = CodeGenerator() | |
# Streamlit app | |
def main(): | |
st.title('Code Generator and Error Checker') | |
nl_input = st.text_area('Enter natural language input for code generation') | |
if st.button('Generate Code'): | |
# Generate code | |
output_code = code_generator.generate_code(nl_input) | |
st.subheader('Generated Code') | |
st.code(output_code, language='python') | |
# Check code for errors | |
st.subheader('Error Check') | |
error_message = code_generator.check_code(output_code) | |
st.write('Error Counts:') | |
st.write(error_message) | |
st.subheader('Error Correction') | |
formatter = PythonCodeFormatter(output_code) | |
formatted_code = formatter.format() | |
st.write('Code after correction:') | |
st.write(formatted_code) | |
#st.subheader('Code after correction:') | |
#st.code(formatted_code, language='python') | |
if __name__ == '__main__': | |
main() | |