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| # imports | |
| import re | |
| import os | |
| from dotenv import load_dotenv | |
| from openai import OpenAI | |
| import streamlit as st | |
| import subprocess | |
| import tempfile | |
| import shutil | |
| import time | |
| from timeit import default_timer as timer | |
| def install_rust(): | |
| subprocess.run("curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y", shell=True) | |
| subprocess.run("source $HOME/.cargo/env", shell=True) | |
| install_rust() | |
| # Load environment variables | |
| os.environ['PATH'] += f':{os.path.expanduser("~/.cargo/bin")}' | |
| load_dotenv() | |
| os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY') | |
| OPENAI_MODEL = "gpt-4o-mini" | |
| class TranslateCode: | |
| def __init__(self, openai_client, model): | |
| self.openai = openai_client | |
| self.model = model | |
| def user_prompt_for(self, python, lang_select): | |
| user_prompt = f"Rewrite this Python code in {lang_select} with the fastest possible implementation that produces identical output in the least time. " | |
| user_prompt += f"Respond only with {lang_select} code; do not explain your work; only return {lang_select} code. " | |
| user_prompt += "Pay attention to number types to ensure no int overflows. Remember to include all necessary dependencies and libraries.\n\n" | |
| user_prompt += "If translating to Rust, make sure to include the necessary packages and crates." | |
| user_prompt += python | |
| return user_prompt | |
| def messages_for(self, python, lang_select): | |
| # System message for OpenAI API | |
| system_message = "You are an assistant that reimplements Python code in high performance code for a Windows PC. " | |
| system_message += "Respond only with code; do not provide any explanations. " | |
| system_message += "The response needs to produce an identical output in the fastest possible time." | |
| return [ | |
| {"role": "system", "content": system_message}, | |
| {"role": "user", "content": self.user_prompt_for(python, lang_select)} | |
| ] | |
| def translate_code(self, code_file, lang_select): | |
| stream = self.openai.chat.completions.create(model=self.model, messages=self.messages_for(code_file, lang_select), stream=True) | |
| code = "" | |
| for chunk in stream: | |
| fragment = chunk.choices[0].delta.content or "" | |
| code += fragment | |
| pattern = r"```(c|cpp|rust|javascript)\n" | |
| code = re.sub(pattern, "", code).replace("```", "") | |
| return code | |
| class ExecuteCode: | |
| def __init__(self, translator): | |
| self.translator = translator | |
| def extract_dependencies(self, code): | |
| try: | |
| dependency_pattern = r""" | |
| (?:use\s+(?!std::)[a-zA-Z_][a-zA-Z0-9_]*::|extern\s+crate\s+(?!std)[a-zA-Z_][a-zA-Z0-9_]*);? | |
| | | |
| \#include\s*<([a-zA-Z_][a-zA-Z0-9_/.]*)> | |
| | | |
| (?:import\s+.*\s+from\s+['"]([a-zA-Z_][a-zA-Z0-9_/.]*)['"] | |
| |require\s*\(\s*['"]([a-zA-Z_][a-zA-Z0-9_/.]*)['"]\s*\)) | |
| """ | |
| matches = re.findall(dependency_pattern, code, re.VERBOSE) | |
| dependencies = [match for match in matches if any(match)] | |
| return dependencies if matches else [] | |
| except re.error as e: | |
| raise ValueError(f"Regex error while extracting dependencies: {e}") | |
| def execute_code(self, code_file, lang_select): | |
| if lang_select == "Rust": | |
| rust_code = self.translator.translate_code(code_file, lang_select) | |
| try: | |
| dependencies = self.extract_dependencies(rust_code) | |
| temp_dir = tempfile.mkdtemp() | |
| src_dir = os.path.join(temp_dir, "src") | |
| os.makedirs(src_dir, exist_ok=True) | |
| cargo_toml = f""" | |
| [package] | |
| name = "temp_project" | |
| version = "0.1.0" | |
| edition = "2021" | |
| [dependencies] | |
| """ | |
| for dependency in dependencies: | |
| crate = dependency[0] | |
| cargo_toml += f"{crate} = \"*\"\n" | |
| with open(os.path.join(temp_dir, "Cargo.toml"), "w") as f: | |
| f.write(cargo_toml) | |
| main_rs_path = os.path.join(src_dir, "main.rs") | |
| with open(main_rs_path, "w", encoding="utf-8") as f: | |
| f.write(rust_code) | |
| cargo_build = subprocess.run(["cargo", "build", "--release"], | |
| cwd=temp_dir, | |
| stdout=subprocess.PIPE, | |
| stderr=subprocess.PIPE, | |
| text=True) | |
| if cargo_build.returncode != 0: | |
| return f"Cargo build failed:\n{cargo_build.stderr}", 0 | |
| executable_path = os.path.join(temp_dir, "target", "release", "temp_project") | |
| start_time = timer() | |
| run_result = subprocess.run([executable_path], | |
| stdout=subprocess.PIPE, | |
| stderr=subprocess.PIPE, | |
| text=True) | |
| end_time = timer() | |
| execution_time = end_time - start_time | |
| if run_result.returncode != 0: | |
| print(f"Execution failed: {run_result.stderr}") | |
| return run_result.stdout, execution_time | |
| finally: | |
| if temp_dir: | |
| shutil.rmtree(temp_dir, ignore_errors=True) | |
| elif lang_select in ["C", "C++"]: | |
| code = self.translator.translate_code(code_file, lang_select) | |
| with tempfile.TemporaryDirectory() as temp_dir: | |
| file_extension = "c" if lang_select == "C" else "cpp" | |
| file_path = os.path.join(temp_dir, f"translated_code.{file_extension}") | |
| with open(file_path, "w") as f: | |
| f.write(code) | |
| executable_path = os.path.join(temp_dir, "translated_code") | |
| compiler = "gcc" if lang_select == "C" else "g++" | |
| compile_result = subprocess.run([compiler, file_path, "-o", executable_path], | |
| stdout=subprocess.PIPE, | |
| stderr=subprocess.PIPE, | |
| text=True) | |
| if compile_result.returncode != 0: | |
| return f"Compilation failed:\n{compile_result.stderr}", 0 | |
| start_time = timer() | |
| run_result = subprocess.run([executable_path], | |
| stdout=subprocess.PIPE, | |
| stderr=subprocess.PIPE, | |
| text=True) | |
| end_time = timer() | |
| execution_time = end_time - start_time | |
| return run_result.stdout, execution_time | |
| elif lang_select == "Javascript": | |
| js_code = self.translator.translate_code(code_file, lang_select) | |
| with tempfile.NamedTemporaryFile(suffix='.js', delete=False) as js_file: | |
| js_file.write(js_code.encode("utf-8")) | |
| js_file.flush() | |
| js_file_path = js_file.name | |
| try: | |
| start_time = timer() | |
| run_result = subprocess.run(["node", js_file_path], | |
| stdout=subprocess.PIPE, | |
| stderr=subprocess.PIPE, | |
| text=True) | |
| end_time = timer() | |
| execution_time = end_time - start_time | |
| return run_result.stdout, execution_time | |
| finally: | |
| os.remove(js_file_path) | |
| else: | |
| return "Language not supported", 0 | |
| class StreamlitApp: | |
| def __init__(self, translator, executor): | |
| self.translator = translator | |
| self.executor = executor | |
| def main(self): | |
| st.title("SyntaxShift: Code Translator") | |
| st.write("It's like Google Translate, but for code.\n\nUpload a Python file to translate it to C, C++, Rust, or Javascript, and run the code.") | |
| with st.sidebar: | |
| st.write("Upload Python file here:") | |
| uploaded_file = st.file_uploader("Choose a Python file", type="py") | |
| lang_select = st.selectbox("Select the language to translate to:", ["C", "C++", "Rust", "Javascript"]) | |
| if uploaded_file is not None and lang_select: | |
| source_code = uploaded_file.read().decode("utf-8") | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.subheader("Original Python Code") | |
| st.code(source_code, language='python') | |
| if st.button("Run Python Code"): | |
| try: | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".py") as temp_py_file: | |
| temp_py_file.write(source_code.encode('utf-8')) | |
| temp_py_file_path = temp_py_file.name | |
| start_time = time.time() | |
| result = subprocess.run(["python", temp_py_file_path], capture_output=True, text=True) | |
| end_time = time.time() | |
| output = result.stdout if result.returncode == 0 else result.stderr | |
| execution_time = end_time - start_time | |
| except Exception as e: | |
| output = str(e) | |
| execution_time = 0 | |
| finally: | |
| if os.path.exists(temp_py_file_path): | |
| os.remove(temp_py_file_path) | |
| st.subheader("Output") | |
| st.code(output, language='text') | |
| st.code(f"Execution time: {execution_time:4f} seconds", language='text') | |
| with col2: | |
| source_code_key = f"source_code_{lang_select}" | |
| translated_code_key = f"translated_code_{lang_select}" | |
| if source_code_key not in st.session_state or translated_code_key not in st.session_state: | |
| translated_code = self.translator.translate_code(source_code, lang_select) | |
| translated_code = translated_code.encode("utf-8").decode("utf-8") | |
| translated_code = translated_code.replace("Â", "") | |
| st.session_state[translated_code_key] = translated_code | |
| else: | |
| translated_code = st.session_state[translated_code_key] | |
| lang_dict = {"C": "c", "C++": "cpp", "Rust": "rust", "Javascript": "javascript"} | |
| st.subheader(f"Translated {lang_select} Code") | |
| st.code(translated_code, language=lang_dict[lang_select]) | |
| #suffix_dict = {"C": ".c", "C++": ".cpp", "Rust": ".rs", "Javascript": ".js"} | |
| if st.button(f"Run Translated {lang_select} Code"): | |
| output_key = f"output_{lang_select}" | |
| execution_time_key = f"execution_time_{lang_select}" | |
| if output_key not in st.session_state or execution_time_key not in st.session_state: | |
| output, execution_time = self.executor.execute_code(translated_code, lang_select) | |
| st.session_state[output_key] = output | |
| st.session_state[execution_time_key] = execution_time | |
| else: | |
| output = st.session_state[output_key] | |
| execution_time = st.session_state[execution_time_key] | |
| st.subheader("Output") | |
| st.code(output.replace("Â", ""), language='text') | |
| st.code(f"Execution time: {execution_time:4f} seconds", language='text') | |
| if __name__ == "__main__": | |
| openai_client = OpenAI() | |
| translator = TranslateCode(openai_client, OPENAI_MODEL) | |
| executor = ExecuteCode(translator) | |
| app = StreamlitApp(translator, executor) | |
| app.main() |