"""Worker process — polls task queue, executes run_pipeline()."""
import json, sys, time, shutil
from pathlib import Path

sys.path.insert(0, str(Path(__file__).parent.parent))

TASKS_DIR = Path("tasks")

def main():
    print("Worker started. Watching tasks/ ...")
    while True:
        for tf in sorted(TASKS_DIR.glob("*.json")):
            try:
                data = json.loads(tf.read_text())
                if data.get("status") != "queued":
                    continue

                data["status"] = "running"
                tf.write_text(json.dumps(data))

                from config import Config
                from orchestrator import run_pipeline

                cfg = Config()
                cfg.runner_mode = data.get("runner", "native")
                if cfg.runner_mode == "spark" and not shutil.which("spark-submit"):
                    data["status"] = "blocked"
                    data["result"] = "spark-submit not installed"
                    tf.write_text(json.dumps(data))
                    continue

                vr = run_pipeline(cfg, data["copybook"], data["cobol_src"],
                                  data["java_src"], data["mapping"])

                fields = [{"name":fr.field_name,"status":fr.status,
                           "cobol":fr.cobol_value,"java":fr.java_value,
                           "suggestion":fr.suggestion} for fr in vr.field_results]

                data["status"] = "done"
                data["fields"] = fields
                data["debug"] = vr.debug
                data["result"] = {
                    "program": vr.program, "status": vr.status,
                    "matched": vr.fields_matched, "mismatched": vr.fields_mismatched,
                    "duration": vr.duration_s, "runner": vr.runner,
                }
                if vr.report_path and "BLOCKED" in vr.status:
                    data["build_log"] = vr.report_path
                tf.write_text(json.dumps(data))

            except Exception as e:
                data = json.loads(tf.read_text()) if tf.exists() else {}
                data["status"] = "error"
                data["result"] = str(e)[:500]
                tf.write_text(json.dumps(data))

        time.sleep(2)


if __name__ == "__main__":
    main()