Files
litellm/tests/code_coverage_tests/memory_test.py
T

308 lines
12 KiB
Python

"""
Memory Violation Detection Test
Detects bad memory patterns in the LiteLLM codebase that can lead to memory leaks or OOMs.
The detector uses a modular pattern-based system. To add detection for new memory patterns:
1. Create a Pattern subclass implementing get_pattern_name(), visit_assign(), and check_cleanup()
- You can extend the Pattern class with additional methods as needed for your detection logic
2. Add the pattern to MemoryViolationDetector.DEFAULT_PATTERNS
Currently detects: queue.get() / queue.get_nowait() operations where variables aren't set to None.
"""
import ast
import os
from abc import ABC, abstractmethod
from typing import List, Dict, Any, Optional, Sequence
class Pattern(ABC):
"""Base class for memory violation detection patterns"""
@abstractmethod
def get_pattern_name(self) -> str:
"""Return unique identifier for this violation type"""
pass
@abstractmethod
def visit_assign(self, node: ast.Assign, context: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Detect memory-sensitive operations in assignment. Returns list of {line, var_name, call} dicts."""
pass
@abstractmethod
def check_cleanup(self, operations: List[Dict[str, Any]], function_body: List[ast.stmt],
context: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Verify variables are set to None. Returns list of violation dicts."""
pass
class QueueGetPattern(Pattern):
"""Detects queue.get()/get_nowait() operations that aren't cleared"""
def get_pattern_name(self) -> str:
return "queue_reference_not_cleared"
def visit_assign(self, node: ast.Assign, context: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Detect queue.get() or queue.get_nowait() calls where object name contains 'queue'"""
operations = []
if isinstance(node.value, ast.Call):
func = node.value.func
if isinstance(func, ast.Attribute) and func.attr in ("get", "get_nowait"):
obj_name = context["get_attr_string"](func.value)
if "queue" in obj_name.lower() and node.targets and isinstance(node.targets[0], ast.Name):
operations.append({
"line": node.lineno,
"var_name": node.targets[0].id,
"call": context["get_call_string"](node.value),
})
return operations
def check_cleanup(self, operations: List[Dict[str, Any]], function_body: List[ast.stmt],
context: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Flag queue variables that aren't set to None"""
violations = []
is_var_set_to_none = context["is_var_set_to_none"]
current_function = context["current_function"]
file_path = context["file_path"]
queue_vars = {op["var_name"]: op["line"] for op in operations}
for var_name, line_num in queue_vars.items():
if not is_var_set_to_none(var_name, function_body):
violations.append({
"line": line_num,
"type": self.get_pattern_name(),
"var_name": var_name,
"function": current_function,
"file_path": file_path,
"message": (
f"Queue variable '{var_name}' in function "
f"'{current_function}' is not set to None after use. "
f"If the runtime is overwhelmed, this can cause OOM (Out of Memory) errors."
),
})
return violations
class MemoryViolationDetector(ast.NodeVisitor):
"""AST visitor that detects memory violations using registered patterns"""
DEFAULT_PATTERNS: List[Pattern] = [QueueGetPattern()]
def __init__(self, file_path: str, patterns: Optional[Sequence[Pattern]] = None):
self.file_path = file_path
self.violations: List[Dict[str, Any]] = []
self.current_function: Optional[str] = None
self.patterns = self.DEFAULT_PATTERNS if patterns is None else patterns
self.pattern_operations: Dict[str, List[Dict[str, Any]]] = {
pattern.get_pattern_name(): [] for pattern in self.patterns
}
self._context = {
"get_call_string": self._get_call_string,
"get_attr_string": self._get_attr_string,
"is_var_set_to_none": self._is_var_set_to_none,
"current_function": None,
"file_path": file_path,
}
def visit_FunctionDef(self, node):
"""Track function scope and check cleanup after visiting"""
old_function = self.current_function
self.current_function = node.name
self._context["current_function"] = node.name
for pattern_name in self.pattern_operations:
self.pattern_operations[pattern_name] = []
self.generic_visit(node)
self._check_function_cleanup(node)
self.current_function = old_function
self._context["current_function"] = old_function
def visit_AsyncFunctionDef(self, node):
"""Track async function scope and check cleanup after visiting"""
old_function = self.current_function
self.current_function = node.name
self._context["current_function"] = node.name
for pattern_name in self.pattern_operations:
self.pattern_operations[pattern_name] = []
self.generic_visit(node)
self._check_function_cleanup(node)
self.current_function = old_function
self._context["current_function"] = old_function
def visit_Assign(self, node):
"""Detect memory-sensitive operations in assignments"""
for pattern in self.patterns:
operations = pattern.visit_assign(node, self._context)
self.pattern_operations[pattern.get_pattern_name()].extend(operations)
self.generic_visit(node)
def _check_function_cleanup(self, node):
"""Check cleanup for all detected operations"""
for pattern in self.patterns:
operations = self.pattern_operations[pattern.get_pattern_name()]
if operations:
violations = pattern.check_cleanup(operations, node.body, self._context)
self.violations.extend(violations)
def _is_var_set_to_none(self, var_name: str, body: List[ast.stmt]) -> bool:
"""Check if variable is set to None after its initial assignment"""
assignment_line = None
for stmt in body:
for node in ast.walk(stmt):
if isinstance(node, ast.Assign):
for target in node.targets:
if isinstance(target, ast.Name) and target.id == var_name:
assignment_line = node.lineno
break
if assignment_line:
break
if assignment_line:
break
if not assignment_line:
return False
for stmt in body:
for node in ast.walk(stmt):
if isinstance(node, ast.Assign):
for target in node.targets:
if isinstance(target, ast.Name) and target.id == var_name and node.lineno > assignment_line:
if isinstance(node.value, ast.Constant) and node.value.value is None:
return True
try:
NameConstant = getattr(ast, "NameConstant", None)
if NameConstant and isinstance(node.value, NameConstant):
if getattr(node.value, "value", None) is None:
return True
except (AttributeError, TypeError):
pass
return False
def _get_call_string(self, node: ast.Call) -> str:
"""Get string representation of function call"""
try:
if hasattr(ast, "unparse"):
return ast.unparse(node)
elif isinstance(node.func, ast.Attribute):
return f"{self._get_attr_string(node.func.value)}.{node.func.attr}()"
return str(node)
except Exception:
return str(node)
def _get_attr_string(self, node: ast.AST) -> str:
"""Get string representation of attribute access"""
if isinstance(node, ast.Name):
return node.id
elif isinstance(node, ast.Attribute):
return f"{self._get_attr_string(node.value)}.{node.attr}"
return str(node)
def check_file_for_memory_violations(file_path: str, patterns: Optional[Sequence[Pattern]] = None) -> List[Dict[str, Any]]:
"""Check a single file for memory violations"""
try:
with open(file_path, "r", encoding="utf-8") as f:
content = f.read()
if "test" in file_path.lower() or "__pycache__" in file_path:
return []
tree = ast.parse(content, filename=file_path)
detector = MemoryViolationDetector(file_path, patterns)
detector.visit(tree)
return detector.violations
except Exception as e:
print(f"Error parsing {file_path}: {e}")
return []
def check_directory_for_memory_violations(directory_path: str, ignore_patterns: Optional[List[str]] = None,
patterns: Optional[Sequence[Pattern]] = None) -> List[Dict[str, Any]]:
"""Recursively scan directory for memory violations"""
if ignore_patterns is None:
ignore_patterns = ["__pycache__", ".pyc", "site-packages", "venv", ".venv", "env", ".env", "node_modules", "tests"]
all_violations = []
for root, _dirs, files in os.walk(directory_path):
if any(pattern in root for pattern in ignore_patterns):
continue
for file in files:
if file.endswith(".py"):
violations = check_file_for_memory_violations(os.path.join(root, file), patterns)
all_violations.extend(violations)
return all_violations
def main():
"""Run memory violation detection on codebase"""
codebase_path = "./litellm"
print("=" * 80)
print("MEMORY VIOLATION DETECTION TEST")
print("=" * 80)
print(f"Scanning: {codebase_path}")
print(f"Active patterns: {', '.join(p.get_pattern_name() for p in MemoryViolationDetector.DEFAULT_PATTERNS)}")
print()
violations = check_directory_for_memory_violations(codebase_path)
if violations:
by_type = {}
for v in violations:
vtype = v["type"]
if vtype not in by_type:
by_type[vtype] = []
by_type[vtype].append(v)
print("🚨 MEMORY VIOLATIONS FOUND:")
print("=" * 80)
total = len(violations)
for vtype, vlist in by_type.items():
print(f"\n📋 {vtype.upper().replace('_', ' ')}: {len(vlist)} violation(s)")
print("-" * 80)
for v in vlist[:10]:
print(f"{v['file_path'] if 'file_path' in v else 'unknown'}:{v['line']}")
print(f" Function: {v['function']}")
print(f" Variable: {v['var_name']}")
print(f" {v['message']}")
print()
if len(vlist) > 10:
print(f" ... and {len(vlist) - 10} more violations of this type")
print("=" * 80)
print(f"🚨 TOTAL VIOLATIONS: {total}")
print()
print("💡 RECOMMENDATIONS:")
print(" 1. Set queue variables to None after use: obj = queue.get(); ...; obj = None")
print(" 2. Use bounded queues to prevent unbounded accumulation")
print(" 3. Process items faster than they're added, or drain queues periodically")
print("=" * 80)
first_v = violations[0]
raise Exception(
f"🚨 Found {total} memory violations! "
f"First violation: {first_v.get('file_path', 'unknown')}:{first_v['line']} - "
f"{first_v['message']}"
)
else:
print("✅ No memory violations found!")
if __name__ == "__main__":
main()