# coding=utf-8
from pathlib import Path
from unittest.mock import patch

import pytest

from spark_executor.core import connection_store, pending_store
from spark_executor.core.pending_store import PendingStore
from spark_executor.models import Connection
from spark_executor.tools import submit


@pytest.fixture(autouse=True)
def _fresh(tmp_path: Path, monkeypatch):
    monkeypatch.setattr(connection_store, "DEFAULT_DATA_DIR", str(tmp_path))
    monkeypatch.setattr(connection_store, "store", connection_store.ConnectionStore())
    monkeypatch.setattr(pending_store, "DEFAULT_DATA_DIR", str(tmp_path))
    monkeypatch.setattr(pending_store, "store", PendingStore())
    submit.conn_store = connection_store.store
    submit.pending_store = pending_store.store
    connection_store.store.save(Connection(
        name="prod",
        master="yarn",
        deploy_mode="cluster",
        yarn_rm_url="http://rm:8088",
    ))


@pytest.fixture
def real_script(tmp_path: Path) -> Path:
    """A real .py file on disk that satisfies prepare_submit_job's path check."""
    p = tmp_path / "demo.py"
    p.write_text("print('hi from test')\n")
    return p


def _last_pending_id() -> str:
    pending = submit.pending_store.list_all()
    assert pending, "no pending submission was created"
    return pending[-1].pending_id


# --- prepare_submit_job ---

def test_prepare_does_not_invoke_spark_submit(monkeypatch, real_script):
    called = []
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: called.append(cmd))
    out = submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    assert called == []  # never called
    assert out["status"] == "PENDING"
    assert out["pending_id"].startswith("p_")


def test_prepare_persists_pending_with_snapshot(monkeypatch, real_script):
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: None)
    connection_store.store.save(
        Connection(
            name="prod",
            master="yarn",
            deploy_mode="cluster",
            yarn_rm_url="http://rm:8088",
            spark_conf={"spark.sql.shuffle.partitions": "200"},
        )
    )
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="research",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    p = submit.pending_store.get(_last_pending_id())
    assert p is not None
    assert p.connection == "prod"
    assert p.master == "yarn"
    assert p.deploy_mode == "cluster"
    assert p.yarn_rm_url == "http://rm:8088"
    assert p.spark_conf == {"spark.sql.shuffle.partitions": "200"}
    assert p.queue == "research"
    assert p.script_path == str(real_script)


def test_prepare_persists_app_name(monkeypatch, real_script):
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: None)
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="my-etl-job",
    )
    p = submit.pending_store.get(_last_pending_id())
    assert p is not None
    assert p.app_name == "my-etl-job"


def test_prepare_requires_explicit_app_name(monkeypatch, real_script):
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: None)
    with pytest.raises(TypeError, match="app_name"):
        submit.prepare_submit_job(connection="prod", script_path=str(real_script))


def test_prepare_accepts_restored_defaults(monkeypatch, real_script):
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: None)
    out = submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    assert out["status"] == "PENDING"
    p = submit.pending_store.get(_last_pending_id())
    assert p.queue == "default"
    assert p.executor_memory == "4G"
    assert p.executor_cores == 2
    assert p.num_executors == 2


def test_prepare_snapshots_extra_args(monkeypatch, real_script):
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: None)
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
        extra_args={"jars": "hdfs:///lib/foo.jar"},
    )
    pid = _last_pending_id()
    p = submit.pending_store.get(pid)
    assert p is not None
    assert p.extra_args == {"jars": "hdfs:///lib/foo.jar"}

    fake_proc = type("P", (), {
        "returncode": 0,
        "stderr": "tracking URL: http://rm:8088/proxy/application_17400000002/\n",
    })()
    with patch("spark_executor.tools.submit.run_spark_submit", return_value=fake_proc) as m:
        submit.confirm_submit_job(pending_id=pid)
    cmd = m.call_args.args[0]
    assert ["--jars", "hdfs:///lib/foo.jar"] in [
        cmd[i : i + 2] for i in range(len(cmd) - 1)
    ]


def test_prepare_raises_for_unknown_connection(real_script):
    with pytest.raises(KeyError, match="missing"):
        submit.prepare_submit_job(
            connection="missing",
            script_path=str(real_script),
            queue="default",
            executor_memory="4G",
            executor_cores=2,
            num_executors=2,
            app_name="test-app",
        )


# --- script_path validation ---

def test_prepare_rejects_nonexistent_script_path(tmp_path):
    missing = str(tmp_path / "does_not_exist.py")
    with pytest.raises(ValueError, match="does not exist or is not a file"):
        submit.prepare_submit_job(
            connection="prod",
            script_path=missing,
            queue="default",
            executor_memory="4G",
            executor_cores=2,
            num_executors=2,
            app_name="test-app",
        )


def test_prepare_rejects_directory_as_script_path(tmp_path):
    """A directory is not a file, even if it exists."""
    with pytest.raises(ValueError, match="does not exist or is not a file"):
        submit.prepare_submit_job(
            connection="prod",
            script_path=str(tmp_path),
            queue="default",
            executor_memory="4G",
            executor_cores=2,
            num_executors=2,
            app_name="test-app",
        )


def test_prepare_rejects_empty_script_path():
    with pytest.raises(ValueError, match="does not exist or is not a file"):
        submit.prepare_submit_job(
            connection="prod",
            script_path="",
            queue="default",
            executor_memory="4G",
            executor_cores=2,
            num_executors=2,
            app_name="test-app",
        )


def test_prepare_error_message_mentions_generate_job_file(tmp_path):
    """The agent must be told to call generate_job_file first."""
    with pytest.raises(ValueError, match="generate_job_file"):
        submit.prepare_submit_job(
            connection="prod",
            script_path=str(tmp_path / "x.py"),
            queue="default",
            executor_memory="4G",
            executor_cores=2,
            num_executors=2,
            app_name="test-app",
        )


def test_confirm_rejects_if_script_was_deleted_after_prepare(tmp_path, monkeypatch):
    """Defense in depth: file present at prepare, gone by confirm -> 400."""
    script = tmp_path / "demo.py"
    script.write_text("print('hi')\n")
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    pid = _last_pending_id()
    # Simulate the file being deleted (e.g. cleanup job) between prepare and confirm
    script.unlink()
    with pytest.raises(ValueError, match="does not exist or is not a file"):
        submit.confirm_submit_job(pending_id=pid)


def test_prepare_snapshots_connection_at_prepare_time(monkeypatch, real_script):
    """Editing the connection between prepare and confirm must NOT silently retarget."""
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: None)
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    p = submit.pending_store.get(_last_pending_id())
    # Now mutate the connection
    connection_store.store.save(
        Connection(name="prod", master="spark://attacker:7077", deploy_mode="client")
    )
    # Snapshot is unchanged
    p2 = submit.pending_store.get(p.pending_id)
    assert p2.master == "yarn"
    assert p2.deploy_mode == "cluster"


# --- confirm_submit_job ---

def test_confirm_invokes_spark_submit_and_marks_submitted(monkeypatch, real_script):
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    pid = _last_pending_id()
    fake_proc = type("P", (), {
        "returncode": 0,
        "stderr": "tracking URL: http://rm:8088/proxy/application_17400000001/\n",
    })()
    with patch("spark_executor.tools.submit.run_spark_submit", return_value=fake_proc) as m:
        result = submit.confirm_submit_job(pending_id=pid)
    cmd = m.call_args.args[0]
    assert "yarn" in cmd
    assert "cluster" in cmd
    assert cmd[-1] == str(real_script)
    assert result.application_id == "application_17400000001"
    # pending updated
    p = submit.pending_store.get(pid)
    assert p.status == "SUBMITTED"
    assert p.application_id == "application_17400000001"
    assert p.job_id is not None
    # job carries the connection's yarn_rm_url snapshot
    assert submit.job_store.get(p.job_id).yarn_rm_url == "http://rm:8088"


def test_confirm_raises_for_unknown_pending_id():
    with pytest.raises(KeyError, match="missing"):
        submit.confirm_submit_job(pending_id="missing")


def test_confirm_refuses_non_pending_status(monkeypatch, real_script):
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    pid = _last_pending_id()
    # Mark it CANCELLED first
    p = submit.pending_store.get(pid)
    p.status = "CANCELLED"
    submit.pending_store.save(p)
    with pytest.raises(ValueError, match="CANCELLED"):
        submit.confirm_submit_job(pending_id=pid)


def test_confirm_marks_failed_on_spark_submit_error(monkeypatch, real_script):
    from spark_executor.core.spark_submit import SparkSubmitError
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    pid = _last_pending_id()
    def _raise(_cmd):
        raise SparkSubmitError("boom")
    monkeypatch.setattr(submit, "run_spark_submit", _raise)
    with pytest.raises(SparkSubmitError):
        submit.confirm_submit_job(pending_id=pid)
    p = submit.pending_store.get(pid)
    assert p.status == "FAILED"
    assert "boom" in (p.error or "")


# --- list_pending_jobs ---

def test_list_pending_jobs_empty():
    assert submit.list_pending_jobs() == []


def test_list_pending_jobs_returns_all(monkeypatch, tmp_path):
    a = tmp_path / "a.py"
    b = tmp_path / "b.py"
    a.write_text("a\n"); b.write_text("b\n")
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: None)
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(a),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(b),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    out = submit.list_pending_jobs()
    assert {p["script_path"] for p in out} == {str(a), str(b)}
    assert all(p["status"] == "PENDING" for p in out)


# --- get_pending_job ---

def test_get_pending_job_returns_dump(monkeypatch, real_script):
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: None)
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    pid = _last_pending_id()
    out = submit.get_pending_job(pid)
    assert out["pending_id"] == pid
    assert out["connection"] == "prod"
    assert out["status"] == "PENDING"


def test_get_pending_job_unknown_raises():
    with pytest.raises(KeyError):
        submit.get_pending_job("missing")


# --- cancel_pending_job ---

def test_cancel_pending_job_marks_cancelled(monkeypatch, real_script):
    monkeypatch.setattr(submit, "run_spark_submit", lambda cmd: None)
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    pid = _last_pending_id()
    out = submit.cancel_pending_job(pid)
    assert out == {"pending_id": pid, "status": "CANCELLED"}
    assert submit.pending_store.get(pid).status == "CANCELLED"


def test_cancel_pending_job_unknown_raises():
    with pytest.raises(KeyError):
        submit.cancel_pending_job("missing")


def test_cancel_pending_job_refuses_submitted(monkeypatch, real_script):
    submit.prepare_submit_job(
        connection="prod",
        script_path=str(real_script),
        queue="default",
        executor_memory="4G",
        executor_cores=2,
        num_executors=2,
        app_name="test-app",
    )
    pid = _last_pending_id()
    p = submit.pending_store.get(pid)
    p.status = "SUBMITTED"
    submit.pending_store.save(p)
    with pytest.raises(ValueError, match="SUBMITTED"):
        submit.cancel_pending_job(pid)