QuantEngineByItz/tools/run_release_dag_v3.py

#!/usr/bin/env python3
import argparse
import sys
import os
import json
import time
import subprocess
import hashlib
from pathlib import Path
import yaml

ROOT = Path(__file__).resolve().parents[1]
LINEAGE_LOG = ROOT / "runtime" / "lineage_events.jsonl"
REPORT = ROOT / "Temp" / "release_dag_run_v3.json"


def file_sha256(path: Path) -> str:
    if not path.exists():
        return ""
    h = hashlib.sha256()
    try:
        with path.open("rb") as f:
            for chunk in iter(lambda: f.read(65536), b""):
                h.update(chunk)
        return h.hexdigest()
    except Exception:
        return ""


def compute_combined_hash(paths: list[str]) -> str:
    hashes = []
    for p in paths:
        path = ROOT / p
        h = file_sha256(path)
        if h:
            hashes.append(h)
    if not hashes:
        return ""
    return hashlib.sha256("".join(hashes).encode("utf-8")).hexdigest()


def main() -> int:
    parser = argparse.ArgumentParser()
    parser.add_argument("--dag", default="spec/41_release_dag.yaml")
    parser.add_argument(
        "--mode",
        choices=["release", "quick", "package-only", "audit-only", "full"],
        default="release"
    )
    parser.add_argument("--strict", action="store_true")
    args = parser.parse_args()

    dag_path = ROOT / args.dag
    if not dag_path.exists():
        print(f"DAG file not found: {dag_path}")
        return 1

    try:
        data = yaml.safe_load(dag_path.read_text(encoding="utf-8"))
    except Exception as e:
        print(f"Error parsing YAML: {e}")
        return 1

    nodes = data["dag"]["nodes"]

    # 1. Identify target nodes based on mode
    target_nodes = []
    if args.mode == "release":
        target_nodes = [nid for nid in nodes if nid.startswith("validate_")]
    elif args.mode == "quick":
        target_nodes = ["validate_specs", "validate_active_manifest"]
    elif args.mode == "package-only":
        target_nodes = [nid for nid in nodes if nid.startswith("build_")] + ["prepare_zip"]
    elif args.mode == "audit-only":
        target_nodes = [nid for nid in nodes if nid.startswith("audit_")]
    else:  # full
        target_nodes = list(nodes.keys())

    # 2. Compute closure
    closure = set()

    def add_to_closure(nid):
        if nid not in closure:
            closure.add(nid)
            for dep in nodes[nid].get("depends_on") or []:
                if dep in nodes:
                    add_to_closure(dep)

    for nid in target_nodes:
        add_to_closure(nid)

    # 3. Topological sort of closure
    visited = set()
    temp = set()
    order = []

    def visit(nid):
        if nid in temp:
            raise ValueError(f"Cycle detected involving {nid}")
        if nid not in visited:
            temp.add(nid)
            for dep in nodes[nid].get("depends_on") or []:
                if dep in closure:
                    visit(dep)
            temp.remove(nid)
            visited.add(nid)
            order.append(nid)

    for nid in closure:
        if nid not in visited:
            try:
                visit(nid)
            except ValueError as e:
                print(e)
                return 1

    steps_run = []
    success = True

    LINEAGE_LOG.parent.mkdir(parents=True, exist_ok=True)

    print(f"Executing DAG mode: {args.mode} (closure size: {len(order)})")

    for nid in order:
        node = nodes[nid]
        
        # Optimization: skip build nodes if outputs exist and mode is "release" (optional, but keep it deterministic for now)
        # For now, run everything in the closure.

        cmd = list(node["command"])
        if cmd and cmd[0] == "python":
            cmd[0] = sys.executable

        print(f"Running node: {nid} ...")
        start_time = time.time()
        
        input_hash = compute_combined_hash(node.get("inputs") or [])

        env = dict(os.environ)
        env["PYTHONPATH"] = str(ROOT) + os.pathsep + env.get("PYTHONPATH", "")

        proc = subprocess.run(
            cmd,
            cwd=ROOT,
            capture_output=True,
            text=True,
            encoding="utf-8",
            errors="replace",
            env=env
        )
        
        elapsed = round(time.time() - start_time, 3)
        output_hash = compute_combined_hash(node.get("outputs") or [])
        gate = "PASS" if proc.returncode == 0 else "FAIL"

        # Log lineage event
        event = {
            "node_id": nid,
            "command": " ".join(cmd),
            "returncode": proc.returncode,
            "elapsed_sec": elapsed,
            "gate": gate,
            "input_hash": input_hash,
            "output_hash": output_hash,
            "timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
        }
        with LINEAGE_LOG.open("a", encoding="utf-8") as lf:
            lf.write(json.dumps(event, ensure_ascii=False) + "\n")

        steps_run.append({
            "node_id": nid,
            "command": " ".join(cmd),
            "returncode": proc.returncode,
            "gate": gate,
            "executed_due_to_dependency": nid not in target_nodes
        })

        if proc.returncode != 0:
            print(f"Node {nid} failed with returncode {proc.returncode}")
            print(proc.stderr)
            success = False
            if node.get("strict", True) or args.strict:
                break

    # Save report
    REPORT.parent.mkdir(parents=True, exist_ok=True)
    REPORT.write_text(json.dumps({
        "formula_id": "RELEASE_DAG_RUN_V4",
        "mode": args.mode,
        "steps": steps_run,
        "gate": "PASS" if success else "FAIL"
    }, ensure_ascii=False, indent=2), encoding="utf-8")

    print(json.dumps({
        "formula_id": "RELEASE_DAG_RUN_V4",
        "mode": args.mode,
        "step_count": len(steps_run),
        "gate": "PASS" if success else "FAIL"
    }, ensure_ascii=True, indent=2))

    return 0 if success else 1


if __name__ == "__main__":
    sys.exit(main())