File size: 8,952 Bytes
d61821a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 | """Outcome-blind deterministic audit for the prospective E09 design freeze."""
from __future__ import annotations
from collections import Counter, defaultdict
from hashlib import sha256
import json
from pathlib import Path
import subprocess
from typing import Any
from agent_harness.specs import (
load_edit_interfaces,
load_experiments,
load_models,
load_repositories,
load_task_split,
load_tasks,
validate_configuration_tree,
)
def digest(path: Path) -> str:
return sha256(path.read_bytes()).hexdigest()
def canonical_digest(value: Any) -> str:
return sha256(
json.dumps(value, sort_keys=True, separators=(",", ":")).encode()
).hexdigest()
def run(root: Path) -> dict[str, Any]:
errors, warnings = validate_configuration_tree(root)
if errors or warnings:
raise RuntimeError(f"configuration failed: errors={errors}, warnings={warnings}")
raw = root / "results" / "raw" / "E09"
if raw.exists() and any(raw.rglob("*")):
raise RuntimeError("E09 outcome directory already exists; design is no longer outcome-blind")
experiment = load_experiments(root)["E09"]
interfaces = load_edit_interfaces(root)
models = load_models(root)
repositories = load_repositories(root)
tasks = load_tasks(root)
split = load_task_split(root / "tasks" / "splits" / "study3_protocol.txt")
study2_split = load_task_split(
root / "tasks" / "splits" / "study2_confirmatory.txt"
)
if split != study2_split or len(split) != 60:
raise RuntimeError("E09 split must exactly reuse the 60 ordered E08 tasks")
if experiment.cells_per_task() != 9:
raise RuntimeError("E09 must define nine model-interface cells per task")
url_to_repository = {
item.repository_url: item.repository_id for item in repositories.values()
}
repository_counts: Counter[str] = Counter()
language_counts: Counter[str] = Counter()
input_files: list[Path] = [
root / "configs" / "experiments" / "E09_protocol_interface.toml",
root / "tasks" / "splits" / "study3_protocol.txt",
root / "docs" / "STUDY3_PREREGISTRATION.md",
root / "docs" / "STUDY3_IMPLEMENTATION.md",
root / "docs" / "PROTOCOL_AMENDMENTS.md",
root / "scripts" / "analyze_study3.py",
root / "scripts" / "audit_study3_design.py",
root / "scripts" / "preflight_study3.py",
root / "src" / "agent_harness" / "cli.py",
root / "src" / "agent_harness" / "lm_studio.py",
root / "src" / "agent_harness" / "protocol_experiment.py",
root / "src" / "agent_harness" / "specs.py",
root / "src" / "agent_harness" / "study2_experiment.py",
root / "tests" / "test_protocol_experiment.py",
root / "tests" / "test_specs.py",
root / "tests" / "test_study3_analysis.py",
]
input_files.extend(
sorted((root / "configs" / "repositories").glob("R*.toml"))
)
task_records: list[dict[str, Any]] = []
for task_id in split:
task = tasks[task_id]
if task.validation_status != "end_to_end_ready":
raise RuntimeError(f"{task_id} is not end-to-end ready")
repository_id = url_to_repository.get(task.repository_url)
if repository_id is None:
raise RuntimeError(f"{task_id} repository is outside the registry")
repository_counts[repository_id] += 1
language_counts[task.language] += 1
manifest = root / "tasks" / "manifests" / f"{task_id}.toml"
source_patch = root / "tasks" / task.gold_patch
test_patch = root / "tasks" / task.test_patch
validation = root / "tasks" / "validation" / "study2" / f"{task_id}.json"
if not validation.is_file():
validation = root / "tasks" / "validation" / f"{task_id}.json"
required = (manifest, source_patch, test_patch, validation)
if not all(path.is_file() for path in required):
raise RuntimeError(f"{task_id} is missing a frozen task artifact")
input_files.extend(required)
task_records.append(
{
"task_id": task_id,
"config_hash": task.config_hash,
"repository_id": repository_id,
"language": task.language,
"base_commit": task.base_commit,
"gold_commit": task.gold_commit,
"gold_files": list(task.gold_files),
"artifact_sha256": {
path.relative_to(root).as_posix(): digest(path) for path in required
},
}
)
if repository_counts != Counter({"R001": 20, "R002": 20, "R003": 20}):
raise RuntimeError(f"repository balance drift: {repository_counts}")
for interface_id in experiment.edit_interface_ids:
input_files.append(
root
/ "configs"
/ "edit_interfaces"
/ {
"P001": "P001_unified_diff.toml",
"P002": "P002_exact_replace.toml",
"P003": "P003_whole_file.toml",
}[interface_id]
)
for model_id in experiment.model_ids:
matching = sorted((root / "configs" / "models").glob(f"{model_id.lower()}_*.toml"))
if len(matching) != 1:
raise RuntimeError(f"no unique model config for {model_id}: {matching}")
input_files.append(matching[0])
model_positions: Counter[tuple[str, int]] = Counter()
interface_positions: Counter[tuple[str, str, int]] = Counter()
identities: set[tuple[str, str, str]] = set()
model_ids = list(experiment.model_ids)
interface_ids = list(experiment.edit_interface_ids)
for task_index, task_id in enumerate(split):
model_offset = task_index % len(model_ids)
model_order = model_ids[model_offset:] + model_ids[:model_offset]
for model_position, model_id in enumerate(model_order):
model_positions[(model_id, model_position)] += 1
canonical_model_index = model_ids.index(model_id)
offset = (task_index + canonical_model_index) % len(interface_ids)
interface_order = interface_ids[offset:] + interface_ids[:offset]
for interface_position, interface_id in enumerate(interface_order):
interface_positions[(model_id, interface_id, interface_position)] += 1
identities.add((task_id, model_id, interface_id))
if len(identities) != 540:
raise RuntimeError(f"planned E09 identities are not unique: {len(identities)}")
if set(model_positions.values()) != {20} or set(interface_positions.values()) != {20}:
raise RuntimeError("counterbalancing does not place every factor level 20 times per position")
unique_inputs = sorted(set(input_files))
input_hashes = {
path.relative_to(root).as_posix(): digest(path) for path in unique_inputs
}
revision = subprocess.run(
["git", "rev-parse", "HEAD"], cwd=root, check=True,
capture_output=True, text=True,
).stdout.strip()
report = {
"schema_version": 1,
"study": "E09 protocol-normalized edit-interface compatibility",
"outcome_blind": True,
"prior_revision": revision,
"raw_e09_absent": True,
"tasks": len(split),
"models": list(experiment.model_ids),
"interfaces": list(experiment.edit_interface_ids),
"planned_cells": len(identities),
"repository_counts": dict(sorted(repository_counts.items())),
"language_counts": dict(sorted(language_counts.items())),
"model_position_counts": {
f"{model_id}@{position}": count
for (model_id, position), count in sorted(model_positions.items())
},
"interface_position_counts": {
f"{model_id}/{interface_id}@{position}": count
for (model_id, interface_id, position), count in sorted(interface_positions.items())
},
"model_config_hashes": {
item: models[item].config_hash for item in experiment.model_ids
},
"interface_config_hashes": {
item: interfaces[item].config_hash for item in experiment.edit_interface_ids
},
"task_records": task_records,
"input_sha256": input_hashes,
}
report["design_sha256"] = canonical_digest(report)
return report
def main() -> None:
root = Path(__file__).resolve().parents[1]
report = run(root)
output = root / "docs" / "STUDY3_DESIGN_AUDIT.json"
output.write_text(
json.dumps(report, indent=2, sort_keys=True) + "\n", encoding="utf-8"
)
print(
json.dumps(
{
"output": str(output),
"planned_cells": report["planned_cells"],
"design_sha256": report["design_sha256"],
},
indent=2,
sort_keys=True,
)
)
if __name__ == "__main__":
main()
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