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e36381e | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 | """Codebase scanner — full review before each task iteration.
Purpose (per Ashira): full scan first, then grep context that previous iteration
left behind. "Review agent" relies on this to know what was done vs what remains.
3-pass strategy:
Pass 1: List recently-modified files across watched roots (last 7 days)
Pass 2: Semantic search via ChromaDB (if index exists) using task keywords
Pass 3: Git status + diff for any repos found (to detect uncommitted work)
Input: task description (string)
Output: structured summary dict the dispatcher can feed to models as context
"""
from __future__ import annotations
import datetime as dt
import json
import os
import re
import subprocess
from pathlib import Path
HOME = Path.home()
WATCHED_ROOTS = [
HOME / "develope",
HOME / "axentx",
HOME / ".surrogate" / "bin",
]
RECENT_DAYS = 7
MAX_FILE_SIZE = 100_000 # skip large binaries
MAX_FILES_PASS1 = 50
MAX_CHUNKS_PASS2 = 10
CHROMA_DB = HOME / ".surrogate" / "code-vector-db"
def _keywords(task: str) -> list[str]:
tokens = re.findall(r"[A-Za-z_][A-Za-z0-9_]*", task.lower())
stop = {"a", "an", "the", "is", "are", "was", "were", "be", "to", "and",
"or", "but", "if", "then", "else", "for", "with", "of", "in", "on",
"at", "this", "that", "from", "by", "as", "i", "you", "it", "we",
"they", "write", "create", "make", "build", "add", "update", "task"}
return [t for t in tokens if len(t) >= 3 and t not in stop][:10]
def _recent_files(keywords: list[str], roots: list[Path]) -> list[dict]:
"""Find recently modified source files matching keywords."""
cutoff = dt.datetime.now() - dt.timedelta(days=RECENT_DAYS)
out = []
for root in roots:
if not root.exists():
continue
for dirpath, dirnames, filenames in os.walk(root):
# skip hidden, node_modules, .git, venv
dirnames[:] = [d for d in dirnames if not d.startswith(".")
and d not in {"node_modules", "vendor", "venv", ".venv",
"__pycache__", "dist", "build", "target"}]
for f in filenames:
p = Path(dirpath) / f
try:
st = p.stat()
except OSError:
continue
if st.st_size > MAX_FILE_SIZE:
continue
mtime = dt.datetime.fromtimestamp(st.st_mtime)
if mtime < cutoff:
continue
# score by keyword hits in name/path
path_lower = str(p).lower()
score = sum(1 for kw in keywords if kw in path_lower)
# light content match (first 4KB only for perf)
try:
with open(p, "r", errors="replace") as fh:
head = fh.read(4096).lower()
score += sum(1 for kw in keywords if kw in head) * 2
except OSError:
continue
if score > 0:
out.append({
"path": str(p),
"mtime": mtime.isoformat(),
"score": score,
"size": st.st_size,
})
out.sort(key=lambda x: -x["score"])
return out[:MAX_FILES_PASS1]
def _chromadb_search(keywords: list[str], task: str) -> list[dict]:
"""Query ChromaDB semantic index (if available)."""
if not CHROMA_DB.exists():
return []
try:
# Use existing helper if present
helper = HOME / ".surrogate" / "bin" / "code-search.sh"
if helper.exists():
proc = subprocess.run(
[str(helper), "--top", str(MAX_CHUNKS_PASS2), task],
capture_output=True, text=True, timeout=30,
)
if proc.returncode == 0 and proc.stdout:
out = []
for line in proc.stdout.splitlines()[:MAX_CHUNKS_PASS2]:
m = re.match(r"(\S+):(\d+)\s+(.*)", line)
if m:
out.append({
"path": m.group(1),
"line": int(m.group(2)),
"preview": m.group(3)[:200],
})
return out
except (subprocess.TimeoutExpired, OSError):
pass
return []
def _git_uncommitted(roots: list[Path]) -> list[dict]:
"""Detect repos with uncommitted work (partial iterations)."""
out = []
# Find up to 3 levels of git repos
for root in roots:
if not root.exists():
continue
for depth_glob in ["*/.git", "*/*/.git", "*/*/*/.git"]:
for git_dir in root.glob(depth_glob):
repo = git_dir.parent
try:
status = subprocess.run(
["git", "-C", str(repo), "status", "--short"],
capture_output=True, text=True, timeout=5,
)
if status.returncode == 0 and status.stdout.strip():
out.append({
"repo": str(repo),
"changes": status.stdout.strip().splitlines()[:20],
})
except (subprocess.TimeoutExpired, OSError):
continue
return out
def scan(task: str, task_artifacts: list[str] | None = None) -> dict:
"""Full codebase review → structured context dict.
Args:
task: natural-language task description
task_artifacts: paths mentioned in task (will be loaded in full)
Returns:
{
"keywords": [...],
"recent_files": [{path, mtime, score, size}, ...],
"semantic_hits": [{path, line, preview}, ...],
"uncommitted_repos": [{repo, changes: [...]}, ...],
"explicit_artifacts": {path: content, ...}, # loaded in full
}
"""
keywords = _keywords(task)
report = {
"task_excerpt": task[:200],
"keywords": keywords,
"recent_files": _recent_files(keywords, WATCHED_ROOTS),
"semantic_hits": _chromadb_search(keywords, task),
"uncommitted_repos": _git_uncommitted(WATCHED_ROOTS),
"explicit_artifacts": {},
}
for a in task_artifacts or []:
p = Path(a)
if p.exists() and p.is_file() and p.stat().st_size < MAX_FILE_SIZE:
try:
report["explicit_artifacts"][str(p)] = p.read_text(errors="replace")[:10000]
except OSError:
pass
return report
def as_context_prompt(scan_result: dict, max_chars: int = 8000) -> str:
"""Render scan as context for LLM system prompt."""
lines = [
"## Codebase context (auto-generated)",
f"Task keywords: {', '.join(scan_result['keywords'])}",
"",
]
if scan_result["uncommitted_repos"]:
lines.append("### Uncommitted work (may indicate previous partial iteration):")
for r in scan_result["uncommitted_repos"][:5]:
lines.append(f" {r['repo']}")
for c in r["changes"][:8]:
lines.append(f" {c}")
lines.append("")
if scan_result["recent_files"]:
lines.append(f"### Recently modified relevant files ({len(scan_result['recent_files'])}):")
for f in scan_result["recent_files"][:15]:
lines.append(f" {f['path']} (score={f['score']}, mtime={f['mtime']})")
lines.append("")
if scan_result["semantic_hits"]:
lines.append("### Semantic search hits:")
for h in scan_result["semantic_hits"][:8]:
lines.append(f" {h['path']}:{h.get('line','?')} — {h['preview'][:120]}")
lines.append("")
if scan_result["explicit_artifacts"]:
lines.append("### Explicit task artifacts (FULL content):")
for path, content in scan_result["explicit_artifacts"].items():
lines.append(f"--- {path} ---")
lines.append(content[:3000])
lines.append("")
result = "\n".join(lines)
return result[:max_chars]
if __name__ == "__main__":
import sys
task = " ".join(sys.argv[1:]) or "refactor yolo daemon"
report = scan(task)
print(json.dumps(
{k: v if not isinstance(v, list) else v[:5] for k, v in report.items()},
indent=2, default=str, ensure_ascii=False
))
print("\n=== AS CONTEXT PROMPT ===\n")
print(as_context_prompt(report, 3000))
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