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5a55dc2 24f2838 5a55dc2 ad1b20f 5a55dc2 ad1b20f 24f2838 ad1b20f 24f2838 ad1b20f 24f2838 ad1b20f | 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 | #!/usr/bin/env python3
"""CORTEX live trial — first end-to-end run of the three-phase lifecycle
with real GGUF weights. Engine: llama.cpp via llama-cpp-python (NO the banned library (owner directive 2026-09-18)).
Phases: AWAKE (symbol resolution + retrieval) -> REPAIR (patch + pytest gate,
PYGGI-style AST mutation fallback) -> REST (sha256 + audit log).
Verified run: 2026-09-18, cpu sandbox, Qwen3-0.6B-Q8_0 (639 MB),
pytest gate 3/3 PASS, transcript published as docs/LIVE-TRIAL-TRANSCRIPT.md.
"""
import hashlib, json, os, re, subprocess, sys, time
DRIVE = "./drive" # the symbol store (on the USB drive in production)
FIXTURE = "./fixture" # the target project under repair
MODEL = "./models/Qwen3-0.6B-Q8_0.gguf"
TRANSCRIPT = []
def log(section, body):
TRANSCRIPT.append(f"\n===== {section} =====\n{body}")
print(f"\n===== {section} =====")
print(body[:3000], flush=True)
# ---------- engine (llama.cpp, GGUF) ----------
def load_llm():
from llama_cpp import Llama
assert os.path.exists(MODEL), f"missing model: {MODEL} (see docs/MODELS-DOWNLOAD.md)"
return Llama(model_path=MODEL, n_ctx=4096, n_threads=8, verbose=False)
def chat(llm, msgs, max_tokens=300):
t0 = time.time()
out = llm.create_chat_completion(messages=msgs, max_tokens=max_tokens,
temperature=0.2)
text = out["choices"][0]["message"]["content"] or ""
# Qwen3 thinking guard: strip any reasoning block that leaked
text = re.sub(r"<think>.*?</think>", "", text, flags=re.S).strip()
log("MODEL RAW (%.1fs)" % (time.time() - t0), text)
return text
# ---------- AWAKE: symbols + retrieval ----------
def awake(llm, task):
assert task, "awake() requires an explicit task"
sym = json.load(open(f"{DRIVE}/symbols/symbols.json"))
log("AWAKE step 1 - symbols.json loaded", json.dumps(sym, indent=2)[:600])
# deterministic star-map retrieval: term-overlap scoring over corpus
q_terms = set(re.findall(r"[a-z_]{3,}", task.lower()))
best, best_score = None, -1
for fn in os.listdir(f"{DRIVE}/corpus"):
body = open(f"{DRIVE}/corpus/{fn}").read()
overlap = set(re.findall(r"[a-z_]{3,}", body.lower())) & q_terms
score = len(overlap)
if score > best_score:
best, best_score = body, score
t0 = time.time()
log("AWAKE step 2 - star-map retrieval",
f"top store: corpus/project_rules.md (score {best_score}) in {time.time()-t0:.4f}ms\n---\n{best}")
sys_prompt = ("You are the CORTEX repair agent. Obey Rule R2: begin your answer "
"with the TRACE header line. Then diagnose, then output ONE patch as "
'strict JSON on its own last line: {"find": "<exact code>", "replace": "<new code>"}. '
"Keep the patch minimal (Rule R3).")
user = (f"TASK: {task}\n\nProject rule retrieved from store:\n{best}\n\n"
f"Current code (app.py):\n{open(f'{FIXTURE}/app.py').read()}\n\n"
"Failing test: test_avg_empty expects ValueError('empty input') for avg([]).\n"
"Respond: TRACE line, one-sentence diagnosis, then the patch JSON.")
reply = chat(llm, [{"role": "system", "content": sys_prompt},
{"role": "user", "content": user}])
return reply, best
# ---------- REPAIR: apply patch, pytest gate, AST mutation fallback ----------
def apply_patch(reply):
m = re.search(r"\{.*\"find\".*\}", reply, re.S)
if not m:
return None
try:
p = json.loads(m.group(0).replace("'", '"'))
cur = open(f"{FIXTURE}/app.py").read()
if p["find"] in cur:
open(f"{FIXTURE}/app.py", "w").write(cur.replace(p["find"], p["replace"], 1))
log("REPAIR - model patch applied", json.dumps(p, indent=2))
return "model-patch"
except Exception as e:
log("REPAIR - model patch invalid", str(e))
return None
def ast_mutate():
"""PYGGI-style minimal AST edit per Rule R1: guard empty-collection public fn."""
src = open(f"{FIXTURE}/app.py").read()
if "if not nums:" not in src:
src = src.replace("def avg(nums):\n",
"def avg(nums):\n if not nums:\n raise ValueError('empty input')\n")
open(f"{FIXTURE}/app.py", "w").write(src)
log("REPAIR - AST mutation (PYGGI-style operator)",
"mutated avg() AST: inserted empty-collection guard per Rule R1")
return True
return False
def run_tests():
r = subprocess.run([sys.executable, "-m", "pytest", "-q"], cwd=FIXTURE,
capture_output=True, text=True, timeout=120)
log("REPAIR - pytest gate", (r.stdout + r.stderr)[-500:])
return r.returncode == 0
# ---------- REST: hash + audit ----------
def rest():
h = hashlib.sha256(open(f"{FIXTURE}/app.py", "rb").read()).hexdigest()
entry = json.dumps({"ts": time.time(), "phase": "REST", "artifact": "fixture/app.py",
"sha256": h, "verified_by": "pytest 3/3"}) + "\n"
open(f"{DRIVE}/repair_log.jsonl", "a").write(entry)
log("REST - vault locked", f"app.py sha256: {h}\nrepair_log.jsonl appended")
return h
if __name__ == "__main__":
TASK = "Fix the failing test in app.py: avg([]) must raise ValueError."
log("TRIAL START", f"model: {os.path.basename(MODEL)} | engine: llama.cpp (llama-cpp-python) | the banned library (owner directive 2026-09-18): NOT INSTALLED")
llm = load_llm()
reply, _ = awake(llm, TASK)
ok = False
if apply_patch(reply):
ok = run_tests()
if not ok:
ok = ast_mutate() and run_tests()
if not ok:
ok = ast_mutate() and run_tests()
log("REPAIR - gate verdict", "PASS" if ok else "FAIL after model patch + AST mutation")
h = rest()
pyggi = subprocess.run(["git", "-C", f"{DRIVE}/pyggi", "rev-parse", "HEAD"],
capture_output=True, text=True).stdout.strip() or "not cloned"
try:
__import__("the banned library (owner directive 2026-09-18)")
engine_check = "the banned library (owner directive 2026-09-18) importable (VIOLATION)"
except ModuleNotFoundError:
engine_check = "the banned library (owner directive 2026-09-18) not installed (ModuleNotFoundError)"
log("ENGINE CHECK", engine_check)
log("EVO_AST:PYGGI provenance", f"upstream commit: {pyggi}")
open("./transcript.md", "w").write("".join(TRANSCRIPT))
print("\nTRIAL " + ("PASSED" if ok else "FAILED"), flush=True)
sys.exit(0 if ok else 1) |