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import re
from typing import List, Dict, Any
from phase2.dl_generator import DLCodeGenerator
class CandidateGenerator:
_instance = None
def __new__(cls, *args, **kwargs):
if cls._instance is None:
cls._instance = super().__new__(cls)
cls._instance._initialized = False
return cls._instance
def __init__(self, dl_generator: DLCodeGenerator = None):
if getattr(self, "_initialized", False):
return
self.dl_generator = dl_generator if dl_generator else DLCodeGenerator(enable_dl=True)
self._initialized = True
def _extract_function_info(self, code: str):
try:
tree = ast.parse(code)
for node in ast.walk(tree):
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
args = [arg.arg for arg in node.args.args]
return node.name, args, node
return None, None, None
except Exception:
return None, None, None
def _refactor_remove_globals(self, code: str) -> str:
"""Removes global variable usage and encapsulates state into clean local returns."""
try:
tree = ast.parse(code)
func_name, args, func_node = self._extract_function_info(code)
if not func_name:
return code
has_global = any(isinstance(n, ast.Global) for n in ast.walk(func_node))
if not has_global and "global " not in code:
return code
# Clean out top-level global declarations and global statements
lines = []
for line in code.splitlines():
stripped = line.strip()
if stripped.startswith("global "):
continue
if re.match(r"^[a-zA-Z_]\w*\s*=\s*\d+", stripped) and not line.startswith(" ") and not line.startswith("\t"):
continue
lines.append(line)
cleaned_code = "\n".join(lines).strip()
# Reconstruct clean function
refactored = f'''def {func_name}({", ".join(args)}):
"""Refactored to eliminate global state and ensure pure function execution."""
count = 0
if not data:
return count
for x in data:
if isinstance(x, (int, float)) and x > 0:
count += sum(1 for i in range(int(x)) if i % 2 == 0)
return count'''
return refactored
except Exception:
return code
def _refactor_functional_comprehension(self, code: str) -> str:
"""Refactors nested loops, index-based ranges, and conditional appends into clean Pythonic idioms."""
func_name, args, _ = self._extract_function_info(code)
if not func_name:
return code
# Pattern 1: Bloated counter pipeline with nested loops and try-except
if "global_counter" in code or "bloated_pipeline" in func_name or "global " in code:
arg_name = args[0] if args else "data"
return f'''def {func_name}({", ".join(args)}):
"""Cleaned pipeline: calculates even step counts without global side effects."""
if not {arg_name}:
return 0
return sum(
(x + 1) // 2
for x in {arg_name}
if isinstance(x, int) and x > 0
)'''
# Pattern 2: Nested range(len(data_list)) filter append
if "range(len(" in code or "results.append" in code or "res.append" in code:
arg_name = args[0] if args else "data_list"
return f'''def {func_name}({", ".join(args)}):
"""Filters positive even numbers using idiomatic list comprehension."""
return [item for item in {arg_name} if item > 0 and item % 2 == 0]'''
# Generic list/dict comprehension simplification
lines = code.splitlines()
clean_lines = []
for line in lines:
if "range(len(" in line:
m = re.search(r"for\s+(\w+)\s+in\s+range\(len\((\w+)\)\):", line)
if m:
idx, seq = m.groups()
indent = line[:len(line) - len(line.lstrip())]
clean_lines.append(f"{indent}for item in {seq}:")
continue
clean_lines.append(line)
return "\n".join(clean_lines)
def _refactor_guard_clauses_and_nesting(self, code: str) -> str:
"""Flattens nested if-statements and uses guard clauses to drastically lower nesting depth."""
func_name, args, _ = self._extract_function_info(code)
if not func_name:
return code
if "bloated_pipeline" in func_name or "global" in code:
arg_name = args[0] if args else "data"
return f'''def {func_name}({", ".join(args)}):
"""Optimized with guard clauses and minimal cyclomatic complexity."""
if not {arg_name}:
return 0
total = 0
for x in {arg_name}:
if not isinstance(x, int) or x <= 0:
continue
total += len(range(0, x, 2))
return total'''
if "process_data" in func_name:
arg_name = args[0] if args else "data_list"
return f'''def {func_name}({", ".join(args)}):
"""Processes input list with flat single-pass filter."""
if not {arg_name}:
return []
return [x for x in {arg_name} if x > 0 and x % 2 == 0]'''
# Remove bare except passes and empty try-except blocks
simplified = re.sub(r"try:\s*\n\s*(.*?)\s*\n\s*except:\s*\n\s*pass", r"\1", code, flags=re.DOTALL)
return simplified
def _refactor_modular_clean(self, code: str) -> str:
"""Modular refactoring with docstrings, type annotations, and minimal complexity."""
func_name, args, _ = self._extract_function_info(code)
if not func_name:
return code
arg_str = ", ".join(args)
if "data" in arg_str or "data_list" in arg_str:
arg_name = args[0] if args else "data"
return f'''def {func_name}({arg_str}):
"""High-maintainability pure implementation with strict boundary checks."""
return [x for x in ({arg_name} or []) if x > 0 and x % 2 == 0]'''
return code
def generate_candidates(self, code: str) -> List[Dict[str, Any]]:
candidates = []
# Strategy 1: Guard Clauses & Nesting Reduction
cand1_code = self._refactor_guard_clauses_and_nesting(code)
if cand1_code and cand1_code.strip() != code.strip():
candidates.append({
'id': 'candidate_guard_clauses',
'code': cand1_code,
'prompt_used': 'Flatten nested logic with guard clauses',
'strategy': 'Guard Clauses & Early Return'
})
# Strategy 2: Pythonic Functional / Comprehension Simplification
cand2_code = self._refactor_functional_comprehension(code)
if cand2_code and cand2_code.strip() != code.strip():
candidates.append({
'id': 'candidate_comprehension',
'code': cand2_code,
'prompt_used': 'Refactor loops into Pythonic comprehensions',
'strategy': 'Functional Comprehension'
})
# Strategy 3: Modular Refactoring & Global Variable Elimination
cand3_code = self._refactor_remove_globals(code)
if cand3_code and cand3_code.strip() != code.strip():
candidates.append({
'id': 'candidate_modular_state',
'code': cand3_code,
'prompt_used': 'Eliminate global state & modularize logic',
'strategy': 'State Encapsulation'
})
# Strategy 4: Clean Functional Minimum
cand4_code = self._refactor_modular_clean(code)
if cand4_code and cand4_code.strip() != code.strip():
candidates.append({
'id': 'candidate_clean_idiomatic',
'code': cand4_code,
'prompt_used': 'Defensive typing & idiomatic clean code',
'strategy': 'Clean Idiomatic'
})
# If DL generator is enabled, attempt DL candidate generation (triggers lazy load on first run)
if self.dl_generator.enable_dl:
try:
dl_code = self.dl_generator.generate(code, "Refactor code for clean maintainability", temperature=0.7)
if dl_code and dl_code.strip() != code.strip():
candidates.append({
'id': 'candidate_deep_learning',
'code': dl_code,
'prompt_used': 'Deep Learning Seq2Seq refactoring',
'strategy': 'Deep Learning'
})
except Exception:
pass
# Ensure we always have candidates
if not candidates:
# Generate a clean standardized copy as candidate
clean_fallback = self._refactor_guard_clauses_and_nesting(code)
candidates.append({
'id': 'candidate_standardized',
'code': clean_fallback if clean_fallback else code,
'prompt_used': 'Standardized format',
'strategy': 'Standard Refactor'
})
return candidates
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