Files
manual_slop/scripts/tier2/artifacts/cruft_elimination_20260627/capture_baseline.py
T
ed 2a76889341 conductor(cruft_elimination): Phase 0 setup + baseline + styleguide ack
TIER-2 READ all 11 mandatory pre-flight files before <cruft_elimination_20260627>:
  1. AGENTS.md
  2. conductor/workflow.md
  3. conductor/edit_workflow.md
  4. conductor/tier2/githooks/forbidden-files.txt
  5. conductor/tracks/tier2_leak_prevention_20260620/spec.md
  6. conductor/product-guidelines.md (Core Value section)
  7. conductor/code_styleguides/data_oriented_design.md (DOD + \u00a78.5)
  8. conductor/code_styleguides/python.md (\u00a717 Banned Patterns)
  9. conductor/code_styleguides/type_aliases.md
  10. conductor/code_styleguides/error_handling.md
  11. docs/guide_meta_boundary.md
Also read: agent_memory_dimensions.md, rag_integration_discipline.md,
cache_friendly_context.md, knowledge_artifacts.md, feature_flags.md,
workspace_paths.md, config_state_owner.md

Phase 0 baseline (measured 2026-06-27, master 88a1bdcb):
- Metadata: TypeAlias = dict[str, Any] at src/type_aliases.py:6 (Phase 1 target)
- hasattr(f, 'path') sites: 29 (gui_2.py:18, app_controller.py:10, aggregate.py:1)
- -> Optional[T] returns: 30 across 14 files
- Any params: 59
- dict[str, Any] params: 10
- Metadata params: 51
- All 7 audit gates pass --strict
- 17/18 per-aggregate dataclasses have from_dict() (NormalizedResponse is
  an output type, not wire-boundary; doesn't need from_dict)

Branch: tier2/cruft_elimination_20260627 (from origin/master @ 88a1bdcb)
2026-06-26 04:17:55 -04:00

113 lines
4.9 KiB
Python

"""Capture pre-flight baseline counts for cruft_elimination_20260627."""
import json
import subprocess
from pathlib import Path
REPO = Path(r"C:\projects\manual_slop_tier2")
def run_grep(pattern: str, glob: str = "src/*.py") -> str:
"""Run git grep and return stdout. Uses -e flag to avoid '>' being interpreted as switch."""
import os
env = os.environ.copy()
env["GIT_PAGER"] = "cat"
cmd = ["git", "grep", "-nE", "-e", pattern, "--", glob]
r = subprocess.run(cmd, cwd=str(REPO), capture_output=True, text=True, encoding="utf-8", env=env)
if r.returncode not in (0, 1): # 0 = found, 1 = not found
return f"ERROR (rc={r.returncode}): {r.stderr}"
return r.stdout
def run_grep_count(pattern: str, glob: str = "src/*.py") -> int:
"""Count git grep matches."""
import os
env = os.environ.copy()
env["GIT_PAGER"] = "cat"
cmd = ["git", "grep", "-cE", "-e", pattern, "--", glob]
r = subprocess.run(cmd, cwd=str(REPO), capture_output=True, text=True, encoding="utf-8", env=env)
if r.returncode not in (0, 1):
return -1
total = 0
for line in r.stdout.splitlines():
if ":" in line:
try:
total += int(line.split(":")[-1])
except ValueError:
pass
return total
baseline = {
"track": "cruft_elimination_20260627",
"captured_at": "2026-06-27",
"src_files": sorted([p.name for p in (REPO / "src").glob("*.py")]),
}
# Phase 1: Metadata TypeAlias
metadata_baseline = run_grep(r"^Metadata: TypeAlias", "src/type_aliases.py")
baseline["metadata_typealias_lines"] = metadata_baseline.strip()
# Phase 1-3: hasattr(f, ...) defensive checks
baseline["hasattr_f_path"] = run_grep_count(r"hasattr\(f,\s*['\"]path['\"]\)")
baseline["hasattr_f_source_tier"] = run_grep_count(r"hasattr\(f,\s*['\"]source_tier['\"]\)")
baseline["hasattr_f_content"] = run_grep_count(r"hasattr\(f,\s*['\"]content['\"]\)")
baseline["hasattr_f_role"] = run_grep_count(r"hasattr\(f,\s*['\"]role['\"]\)")
baseline["hasattr_f_model"] = run_grep_count(r"hasattr\(f,\s*['\"]model['\"]\)")
baseline["hasattr_f_id"] = run_grep_count(r"hasattr\(f,\s*['\"]id['\"]\)")
baseline["hasattr_f_status"] = run_grep_count(r"hasattr\(f,\s*['\"]status['\"]\)")
baseline["hasattr_f_total"] = sum([
baseline["hasattr_f_path"], baseline["hasattr_f_source_tier"],
baseline["hasattr_f_content"], baseline["hasattr_f_role"],
baseline["hasattr_f_model"], baseline["hasattr_f_id"],
baseline["hasattr_f_status"],
])
baseline["hasattr_self_lazy_init"] = run_grep_count(r"hasattr\(self,")
# Phase 6: Optional[T] returns
baseline["optional_returns"] = run_grep_count(r"-> Optional\[")
# Phase 7: Any and dict[str, Any] in signatures
baseline["any_params"] = run_grep_count(r"def .+\(.*:\s*Any[^a-zA-Z_]")
baseline["any_returns"] = run_grep_count(r"->\s*Any[^a-zA-Z_]")
baseline["dict_str_any_params"] = run_grep_count(r"def .+\(.*:\s*dict\[str,\s*Any\]")
baseline["metadata_params"] = run_grep_count(r"def .+\(.*:\s*Metadata[^a-zA-Z_]")
baseline["metadata_returns"] = run_grep_count(r"->\s*Metadata[^a-zA-Z_]")
# Per-file breakdowns for the major cruft sources
def per_file_breakdown(pattern: str) -> dict[str, int]:
out = run_grep(pattern)
result: dict[str, int] = {}
for line in out.splitlines():
if ":" in line and not line.startswith("ERROR"):
parts = line.split(":", 2)
if len(parts) >= 2:
fpath = parts[0]
result[fpath] = result.get(fpath, 0) + 1
return result
baseline["optional_returns_by_file"] = per_file_breakdown(r"-> Optional\[")
baseline["hasattr_f_path_by_file"] = per_file_breakdown(r"hasattr\(f,\s*['\"]path['\"]\)")
baseline["summary"] = {
"metadata_typealias_lines": baseline["metadata_typealias_lines"],
"total_hasattr_f_path": baseline["hasattr_f_path"],
"total_hasattr_f_all_fields": baseline["hasattr_f_total"],
"total_hasattr_self_lazy_init": baseline["hasattr_self_lazy_init"],
"total_optional_returns": baseline["optional_returns"],
"total_any_params": baseline["any_params"],
"total_any_returns": baseline["any_returns"],
"total_dict_str_any_params": baseline["dict_str_any_params"],
"total_metadata_params": baseline["metadata_params"],
"total_metadata_returns": baseline["metadata_returns"],
}
out_path = REPO / "tests" / "artifacts" / "tier2_state" / "cruft_elimination_20260627" / "baseline_counts.json"
out_path.parent.mkdir(parents=True, exist_ok=True)
with out_path.open("w", encoding="utf-8") as f:
json.dump(baseline, f, indent=2, ensure_ascii=False)
print(json.dumps(baseline["summary"], indent=2))
print("\n--- hasattr(f, 'path') by file ---")
for f, n in sorted(baseline["hasattr_f_path_by_file"].items(), key=lambda x: -x[1]):
print(f" {n:3d} {f}")
print("\n--- -> Optional[...] by file ---")
for f, n in sorted(baseline["optional_returns_by_file"].items(), key=lambda x: -x[1]):
print(f" {n:3d} {f}")
print(f"\nBaseline written to: {out_path}")