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

import pytest

from spark_executor.core.job_store import JobStore
from spark_executor.models import Job
from spark_executor.tools import result


def test_result_returns_parsed_fields():
    result.store = JobStore()
    result.store.put(
        Job(
            job_id="abc",
            application_id="application_1",
            script_path="/tmp/j.py",
            queue="default",
            submit_time=datetime(2026, 6, 24),
            connection="prod",
            yarn_rm_url="http://rm:8088",
        )
    )
    raw = {
        "app": {
            "id": "application_1",
            "state": "FINISHED",
            "finalStatus": "SUCCEEDED",
            "diagnostics": "Application completed successfully",
            "trackingUrl": "http://nm:8088/proxy/application_1",
            "startedTime": 1700000000000,
            "finishedTime": 1700000123000,
        }
    }
    import json

    with patch(
        "spark_executor.tools.result.get_application_status",
        return_value=("FINISHED", json.dumps(raw)),
    ) as m:
        out = result.get_job_result("abc")

    assert out.application_id == "application_1"
    assert out.state == "FINISHED"
    assert out.final_status == "SUCCEEDED"
    assert out.diagnostics == "Application completed successfully"
    assert out.tracking_url == "http://nm:8088/proxy/application_1"
    assert out.started_time == 1700000000000
    assert out.finished_time == 1700000123000
    assert m.call_args.args == ("application_1", "http://rm:8088")


def test_result_handles_running_job():
    result.store = JobStore()
    result.store.put(
        Job(
            job_id="running",
            application_id="application_2",
            script_path="/tmp/j.py",
            queue="default",
            submit_time=datetime(2026, 6, 24),
            connection="prod",
            yarn_rm_url="http://rm:8088",
        )
    )
    raw = {
        "app": {
            "id": "application_2",
            "state": "RUNNING",
            "finalStatus": "UNDEFINED",
            "trackingUrl": "http://rm:8088/proxy/application_2",
            "startedTime": 1700000000000,
        }
    }
    import json

    with patch(
        "spark_executor.tools.result.get_application_status",
        return_value=("RUNNING", json.dumps(raw)),
    ):
        out = result.get_job_result("running")

    assert out.state == "RUNNING"
    assert out.final_status == "UNDEFINED"
    assert out.finished_time is None


def test_result_handles_missing_optional_fields():
    result.store = JobStore()
    result.store.put(
        Job(
            job_id="accepted",
            application_id="application_3",
            script_path="/tmp/j.py",
            queue="default",
            submit_time=datetime(2026, 6, 24),
            connection="prod",
            yarn_rm_url="http://rm:8088",
        )
    )
    raw = {"app": {"id": "application_3", "state": "ACCEPTED"}}
    import json

    with patch(
        "spark_executor.tools.result.get_application_status",
        return_value=("ACCEPTED", json.dumps(raw)),
    ):
        out = result.get_job_result("accepted")

    assert out.state == "ACCEPTED"
    assert out.application_id == "application_3"
    assert out.final_status is None
    assert out.diagnostics is None
    assert out.tracking_url is None
    assert out.started_time is None
    assert out.finished_time is None


def test_result_raises_keyerror_for_unknown_job():
    result.store = JobStore()
    with pytest.raises(KeyError, match="Unknown job_id"):
        result.get_job_result("missing")