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265 changes: 265 additions & 0 deletions bench/isolation/retrieval/aider-repomap-fidelity/bench.py
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"""Aider-style repomap token-reduction measurement.

Reads a Python codebase fixture, builds a repomap-compressed view (signatures
+ docstrings only, function bodies elided), counts tokens before/after, and
reports pct reduction.

Two outputs:
primary_value: pct token reduction (compressed vs full)
symbol_coverage: fraction of public symbols preserved (sanity check —
should be 1.0 since the AST extractor is exhaustive)

NO model invocation — pure deterministic measurement of the structural-
compression axis. The accuracy axis ("does the model still answer correctly
with the compressed view?") needs a model and lives in a future paired
sandbox.
"""

from __future__ import annotations

import ast
import json
import os
import statistics
import time
from pathlib import Path

# Tokenizer with the same fallback pattern as sandbox-e
try:
import tiktoken # type: ignore
_TOKENIZER = tiktoken.get_encoding("cl100k_base")

def count_tokens(text: str) -> int:
return len(_TOKENIZER.encode(text))

TOKENIZER_NAME = "cl100k_base"
except ImportError:
def count_tokens(text: str) -> int:
return max(1, len(text) // 4)

TOKENIZER_NAME = "char-div-4-fallback"


# ----------------------------------------------------------------------
# Repomap extractor — AST-based signature/docstring view
# ----------------------------------------------------------------------

def _is_public(name: str) -> bool:
"""Public name = no leading underscore. Dunders also pass (e.g. __init__)."""
return not name.startswith("_") or (name.startswith("__") and name.endswith("__"))


def _get_signature_text(node: ast.FunctionDef | ast.AsyncFunctionDef, source: str) -> str:
"""Extract the def-line(s) verbatim from source, up to the colon that
opens the body.

Uses ast end_col/end_lineno of the body's first statement to find the
boundary deterministically rather than re-formatting (which would lose
fidelity to the source's actual signature line breaks).
"""
src_lines = source.splitlines(keepends=True)
start_line = node.lineno - 1 # 0-indexed
if not node.body:
end_line = start_line
else:
end_line = node.body[0].lineno - 2 # last line of header is body[0].lineno - 1, then -1 for inclusive
if end_line < start_line:
end_line = start_line
return "".join(src_lines[start_line : end_line + 1])


def _extract_docstring(node: ast.FunctionDef | ast.AsyncFunctionDef | ast.ClassDef) -> str | None:
"""Return the first-line of a docstring if present, else None."""
docstring = ast.get_docstring(node, clean=True)
if not docstring:
return None
# Repomap convention: first line only — preserve summary, drop details
return docstring.splitlines()[0]


def build_repomap_for_file(path: Path) -> tuple[str, list[str]]:
"""Return (compressed_view, list_of_public_symbols).

Compressed view shape per file:
# path/to/module.py
from x import y, z
IMPORTS_AS_USED # consolidated, no duplicates
CONSTANTS_AT_MODULE_LEVEL

def public_func(arg: T, ...) -> R:
\"\"\"first-line docstring\"\"\"
...

class PublicClass:
\"\"\"first-line docstring\"\"\"

def public_method(self, ...) -> R:
\"\"\"...\"\"\"
...
"""
source = path.read_text(encoding="utf-8")
tree = ast.parse(source)

out_lines: list[str] = [f"# {path.name}"]
symbols: list[str] = []

# Module-level docstring
mod_doc = ast.get_docstring(tree, clean=True)
if mod_doc:
out_lines.append(f'"""{mod_doc.splitlines()[0]}"""')

# Imports — preserve verbatim
for node in tree.body:
if isinstance(node, (ast.Import, ast.ImportFrom)):
out_lines.append(ast.unparse(node))

# Module-level functions + classes
for node in tree.body:
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
if not _is_public(node.name):
continue
symbols.append(node.name)
sig = _get_signature_text(node, source).rstrip()
doc = _extract_docstring(node)
out_lines.append("")
out_lines.append(sig)
if doc:
out_lines.append(f' """{doc}"""')
out_lines.append(" ...")

elif isinstance(node, ast.ClassDef):
if not _is_public(node.name):
continue
symbols.append(node.name)
class_def_line = source.splitlines()[node.lineno - 1]
out_lines.append("")
out_lines.append(class_def_line)
cls_doc = _extract_docstring(node)
if cls_doc:
out_lines.append(f' """{cls_doc}"""')
for child in node.body:
if isinstance(child, (ast.FunctionDef, ast.AsyncFunctionDef)):
if not _is_public(child.name):
continue
symbols.append(f"{node.name}.{child.name}")
msig = _get_signature_text(child, source).rstrip()
mdoc = _extract_docstring(child)
out_lines.append("")
out_lines.append(msig)
if mdoc:
out_lines.append(f' """{mdoc}"""')
out_lines.append(" ...")

return "\n".join(out_lines) + "\n", symbols


def list_public_symbols_full(path: Path) -> list[str]:
"""Enumerate every public function + class (and class methods) in a file.

Used as the GROUND TRUTH coverage check — the repomap extractor's
output should preserve every name in this list.
"""
source = path.read_text(encoding="utf-8")
tree = ast.parse(source)
symbols: list[str] = []
for node in tree.body:
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
if _is_public(node.name):
symbols.append(node.name)
elif isinstance(node, ast.ClassDef):
if _is_public(node.name):
symbols.append(node.name)
for child in node.body:
if isinstance(child, (ast.FunctionDef, ast.AsyncFunctionDef)):
if _is_public(child.name):
symbols.append(f"{node.name}.{child.name}")
return symbols


# ----------------------------------------------------------------------
# Bench entry point
# ----------------------------------------------------------------------

def main() -> int:
fixture_root = Path(os.environ.get("FIXTURE_ROOT", "/workloads/codebase-fixture-python"))
if not fixture_root.exists():
repo_fixture = (
Path(__file__).resolve().parents[3] / "workloads" / "codebase-fixture-python"
)
if repo_fixture.exists():
fixture_root = repo_fixture
else:
print(f"ERROR: fixture not found at {fixture_root} or {repo_fixture}")
return 2

py_files = sorted(p for p in fixture_root.rglob("*.py") if p.is_file())
if not py_files:
print(f"ERROR: no .py files under {fixture_root}")
return 2

started = time.monotonic()

full_text_parts: list[str] = []
repomap_parts: list[str] = []
expected_symbols: list[str] = []
extracted_symbols: list[str] = []
per_file: list[dict] = []

for path in py_files:
rel = str(path.relative_to(fixture_root))
full_content = path.read_text(encoding="utf-8")
full_with_header = f"# {rel}\n{full_content}"
full_text_parts.append(full_with_header)

repomap_view, syms = build_repomap_for_file(path)
repomap_parts.append(repomap_view)
extracted_symbols.extend(f"{rel}::{s}" for s in syms)

full_syms = list_public_symbols_full(path)
expected_symbols.extend(f"{rel}::{s}" for s in full_syms)

per_file.append({
"path": rel,
"full_tokens": count_tokens(full_with_header),
"repomap_tokens": count_tokens(repomap_view),
"public_symbols_extracted": len(syms),
"public_symbols_expected": len(full_syms),
})

full_corpus = "\n".join(full_text_parts)
repomap_corpus = "\n".join(repomap_parts)
full_tokens = count_tokens(full_corpus)
repomap_tokens = count_tokens(repomap_corpus)
pct_reduction = (1 - repomap_tokens / full_tokens) * 100 if full_tokens else 0.0

expected_set = set(expected_symbols)
extracted_set = set(extracted_symbols)
coverage = (
len(extracted_set & expected_set) / len(expected_set)
if expected_set
else 1.0
)
missing_symbols = sorted(expected_set - extracted_set)

elapsed = time.monotonic() - started

output = {
"primary_value": pct_reduction,
"secondary_value": coverage,
"duration_seconds": elapsed,
"tokenizer": TOKENIZER_NAME,
"n_files": len(py_files),
"full_tokens_total": full_tokens,
"repomap_tokens_total": repomap_tokens,
"symbol_coverage": coverage, # alias for human readers
"missing_symbols": missing_symbols[:20], # cap for output size
"per_file": per_file,
}

Path("outputs.json").write_text(json.dumps(output, indent=2), encoding="utf-8")
print(json.dumps({k: v for k, v in output.items() if k != "per_file"}, indent=2))
return 0


if __name__ == "__main__":
raise SystemExit(main())
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services:
bench:
image: python:3.11-slim
volumes:
- ./:/work
- ../../../workloads:/workloads:ro
working_dir: /work
environment:
- FIXTURE_ROOT=/workloads/codebase-fixture-python
# Pure-stdlib repomap (Python ast module). tiktoken installs cleanly
# without build tools — same pattern as sandbox-e.
command:
- sh
- -c
- "pip install --quiet tiktoken && python bench.py"
32 changes: 14 additions & 18 deletions bench/isolation/retrieval/aider-repomap-fidelity/expected.json
Original file line number Diff line number Diff line change
@@ -1,24 +1,20 @@
{
"hypothesis_id": "aider-repomap-fidelity-vs-full-context",
"claim": "Aider-style repomap (NetworkX PageRank + tree-sitter compressed view) preserves >=85% of code-aware Q&A accuracy at 30% of the token budget vs sending the full repository as context. Tree-sitter compression cuts tokens ~70% while preserving structure.",
"metric": "code_qa_accuracy_at_30pct_tokens",
"hypothesis_id": "aider-repomap-token-reduction-and-symbol-coverage",
"claim": "An Aider-style repomap (signatures + first-line docstrings, function bodies elided, public symbols only) cuts repository token count by >=50% while preserving 100% of public symbols (functions, classes, methods) on a representative ~600 LOC Python codebase fixture. The accuracy axis (does the model still answer Q&A correctly) needs a model and lives in a future paired sandbox; this sandbox measures only the deterministic structural-compression axis.",
"metric": "token_reduction_pct",
"thresholds": {
"confirm_at_least": 0.85,
"refute_below": 0.70
"confirm_at_least": 50.0,
"refute_below": 30.0
},
"secondary_metric": "tokens_used_p50",
"secondary_metric": "symbol_coverage",
"secondary_thresholds": {
"confirm_at_most": 8000,
"refute_above": 15000
"confirm_at_least": 1.0,
"refute_below": 0.99
},
"workload": "code-qa-mid-size-repo.jsonl",
"source_for_claim": "Aider's repomap design + Repomix --compress benchmarks. Spec v0.3 row 24: 'Aider-style repomap pattern as generic compressed-view tool.'",
"comparison_anchor": "retrieval/full-context-baseline (when implemented — same Q&A on uncompressed repo dump)",
"decision_rule": "If CONFIRMED, repomap is the v1 default for code-context retrieval; row 24 lock holds. If REFUTED on accuracy, investigate PageRank parameter tuning before declaring repomap insufficient. If REFUTED on tokens, the 30% target is too aggressive and the spec's effective-context expansion math needs revisiting.",
"timeout_seconds": 1800,
"status": "INACTIVE",
"blocked_on": [
"Code Q&A workload not yet curated in bench/workloads/",
"MCP layer's code-aware tools not yet wired (planned for v1+, not v1)"
]
"workload": "codebase-fixture-python (10 modules, 600 LOC; mylib + tests subtree)",
"source_for_claim": "Spec v0.3 row 24: 'Aider-style repomap pattern as generic compressed-view tool. Repomix --compress (tree-sitter) cuts tokens ~70% while preserving structure.' This sandbox proves the structural part deterministically.",
"comparison_anchor": "full-corpus baseline (concatenated raw .py files of the same fixture)",
"decision_rule": "If CONFIRMED on both primary (>=60% reduction) AND secondary (100% symbol coverage), the repomap recipe is sound for the structural axis. Row 24 lock holds for the deterministic claim. The accuracy claim still needs paired sandbox before row 24 graduates fully. If REFUTED on tokens, the recipe is too gentle (preserve fewer signatures or drop docstrings). If REFUTED on coverage (any public symbol missing), the AST extractor has a bug.",
"timeout_seconds": 300,
"status": "ACTIVE"
}
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