Files
Tesi-Magistrale/src/task_splitter/code_processor.py
2024-08-25 18:34:45 +02:00

103 lines
3.0 KiB
Python

import os
import re
import yaml
def __extract_functions(file_content):
# Regular expression to match C function definitions
REGULAR_EXPRESSION_C = r"(^\w[\w\s\*]+)\s+(\w+)\s*\(([^)]*)\)\s*(\{[^{}]*\})"
REGULAR_EXPRESSION_ANNOTATION = r"(^\@[A-Z]\w+){1}(\(.+\))*"
function_pattern = re.compile(REGULAR_EXPRESSION_C, re.MULTILINE)
function_matches = function_pattern.finditer(file_content)
annotation_pattern = re.compile(REGULAR_EXPRESSION_ANNOTATION, re.MULTILINE)
functions = []
positions = []
for match in function_matches:
positions.append(match.start())
annotation_matches = annotation_pattern.finditer(file_content)
prev = 0
if len(positions) > 1:
prev = positions[-2]
annotations = []
for ann in annotation_matches:
if ann.start() >= prev:
if ann.start() > match.start():
break
ann_tag = ann.group(1).strip()
ann_arg = ann.group(2)
if ann_arg is not None:
ann_arg = ann_arg.replace("(","[").replace(")","]")
annotations.append(
{
"tag": ann_tag,
"args": ann_arg
}
)
func_return_type = match.group(1).strip()
func_name = match.group(2)
func_args = match.group(3).strip()
func_content = match.group(4).strip()
# function_contents.append(
# f"{func_return_type} {func_name}({func_args}) {match.group(4)}"
# )
functions.append({
"name": func_name,
"return_type": func_return_type,
"args": func_args,
"annotations": annotations,
"content": func_content
})
return functions
def create_independent_files(functions, output_dir):
for fun in functions:
function_content = f"{fun['return_type']} {fun['name']}({fun['args']}) {fun['content']}"
filename = f"{fun['name']}.c"
with open(output_dir + filename, "w") as f:
# Write the original function
f.write(function_content)
f.write("\n")
# Add a main function to call the function
main_function = f"""
int main() {{
// Assuming that the function has no return value
{fun['name']}({', '.join(['0' for _ in fun['args'].split(',')])});
return 0;
}}
"""
f.write(main_function)
def extract_functions_from_file(input_file):
with open(input_file, "r") as file:
file_content = file.read()
functions = __extract_functions(file_content)
return functions
def save_functions_to_yaml(functions, output_file):
with open(output_file, "w") as file:
yaml.dump(functions, file, sort_keys=False)