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code-review-quality

Python code quality review lens. SOLID principles, dead code, exception handling, resource leaks, thread safety, performance. Triggered by "quality" ("품질"), "SOLID", "dead code" ("데드코드"), "exception", "resource leak", "thread safety" keywords.

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Code Review Quality Lens

Review quality issues from 6 perspectives that automated tools miss.

Check 1: Dead Code Detection

# Unused imports
uv run ruff check core/ --select F401

# Unused variables
uv run ruff check core/ --select F841

# Residual TODO/FIXME/HACK
grep -rn "TODO\|FIXME\|HACK\|XXX" core/ --include="*.py"

# Empty function bodies (stubs with only pass)
grep -rn "def.*:" core/ --include="*.py" -A1 | grep -B1 "^\s*pass$"

Check 2: Exception Handling Anti-patterns

# Empty except blocks (swallowing exceptions)
grep -rn "except.*:" core/ --include="*.py" -A1 | grep -B1 "^\s*pass$"

# Catch-all Exception (overly broad except)
grep -rn "except Exception" core/ --include="*.py" | grep -v "# noqa"

# Bare except (except without type)
grep -rn "except:" core/ --include="*.py"

Rules:

  • Empty except is a discovery candidate: inspect expected failure, suppression and the upper caller. Follow the existing error conventions; do not add duplicate logging, lose cancellation or manufacture empty success.
  • except Exception: Must state legitimate justification
  • Bare except: Prohibited — specify at minimum the Exception type

Check 3: Resource Leak Detection

# File handles (without with statement)
grep -rn "open(" core/ --include="*.py" | grep -v "with " | grep -v "# noqa"

# subprocess handles not collected
grep -rn "subprocess\.Popen" core/ --include="*.py" | grep -v "with "

# Temporary files not cleaned up
grep -rn "tempfile\.\|NamedTemporaryFile\|mktemp" core/ --include="*.py"

Trace the creator, ownership transfer, borrower and lifetime owner. Use a context manager, finally or the established async shutdown owner as appropriate; verify constructor failure, cancellation and partial teardown. Preserve failed resources when the owning lifetime permits retry, and still attempt sibling cleanup. Follow construction/lifecycle and error conventions, rather than requiring a with statement for every shared client.

Check 4: Thread Safety

# Global mutable state
grep -rn "^[A-Z_]*\s*=\s*\[\|^[A-Z_]*\s*=\s*{" core/ --include="*.py" | grep -v "frozenset\|tuple\|Final"

# Shared state modification without Lock
grep -rn "threading\.\|asyncio\.\|concurrent\." core/ --include="*.py"

# ContextVar usage patterns
grep -rn "ContextVar\|contextvars" core/ --include="*.py"

GEODE context:

  • core.wiring composes services through constructors/configuration or typed contexts such as ToolContext; a service-locator ContextVar is not the DI contract.
  • Request-local ContextVar use does not prove mutable values are isolated or that context propagates across every thread/task boundary. Trace the actual producer, handoff, mutation, and reset paths.
  • For a module-level dict/list, establish whether concurrent mutation exists and which owner serializes it before recommending a lock or immutable type.

See architecture boundaries.

Check 5: SOLID Principles

PrincipleDiscovery candidates, not violationsDetection
SRP500+ line files, classes with 5+ responsibilitieswc -l core/**/*.py | sort -rn | head
OCPif/elif chains with 10+ branchesgrep -rn "elif" count
LSPNotImplementedError in subclassesgrep -rn "NotImplementedError"
ISPProtocol with 10+ methodsTrace actual Protocol consumers
DIPImport bypassing a declared package/capability boundaryCheck the current import-linter contracts

These source/size heuristics need caller and failure evidence. Concrete-class imports are valid when no declared boundary or substitution contract is bypassed. Use the field guide before deleting code/tests or introducing an abstraction.

Check 6: Performance

# N+1 pattern (I/O inside loops)
grep -rn "for.*in.*:" core/ --include="*.py" -A5 | grep "\.get\|\.fetch\|\.call\|\.execute"

# Unnecessary list creation (generator possible)
grep -rn "\[.*for.*in.*\]" core/ --include="*.py" | grep -v "test"

# Redundant computation (repeated calls to same function)
# (requires manual review)

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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