import functools
import json
import os
from datetime import datetime, timedelta, timezone
import subprocess
import time
from typing import Any, Dict, List, Tuple
from time import sleep
from joblib import Parallel, delayed

import requests_wrapper as requests
import logging
from datahub.cli import cli_utils
from datahub.cli.cli_utils import get_system_auth
from datahub.ingestion.graph.client import DataHubGraph, DatahubClientConfig
from datahub.ingestion.run.pipeline import Pipeline

TIME: int = 1581407189000
logger = logging.getLogger(__name__)


def get_frontend_session():
    session = requests.Session()

    headers = {
        "Content-Type": "application/json",
    }
    system_auth = get_system_auth()
    if system_auth is not None:
        session.headers.update({"Authorization": system_auth})
    else:
        username, password = get_admin_credentials()
        data = '{"username":"' + username + '", "password":"' + password + '"}'
        response = session.post(
            f"{get_frontend_url()}/logIn", headers=headers, data=data
        )
        response.raise_for_status()

    return session


def get_admin_username() -> str:
    return get_admin_credentials()[0]


def get_admin_credentials():
    return (
        os.getenv("ADMIN_USERNAME", "datahub"),
        os.getenv("ADMIN_PASSWORD", "datahub"),
    )


def get_root_urn():
    return "urn:li:corpuser:datahub"


def get_gms_url():
    return os.getenv("DATAHUB_GMS_URL") or "http://localhost:8080"


def get_frontend_url():
    return os.getenv("DATAHUB_FRONTEND_URL") or "http://localhost:9002"


def get_kafka_broker_url():
    return os.getenv("DATAHUB_KAFKA_URL") or "localhost:9092"


def get_kafka_schema_registry():
    #  internal registry "http://localhost:8080/schema-registry/api/"
    return os.getenv("DATAHUB_KAFKA_SCHEMA_REGISTRY_URL") or "http://localhost:8081"


def get_mysql_url():
    return os.getenv("DATAHUB_MYSQL_URL") or "localhost:3306"


def get_mysql_username():
    return os.getenv("DATAHUB_MYSQL_USERNAME") or "datahub"


def get_mysql_password():
    return os.getenv("DATAHUB_MYSQL_PASSWORD") or "datahub"


def get_sleep_info() -> Tuple[int, int]:
    return (
        int(os.getenv("DATAHUB_TEST_SLEEP_BETWEEN", 20)),
        int(os.getenv("DATAHUB_TEST_SLEEP_TIMES", 3)),
    )


def is_k8s_enabled():
    return os.getenv("K8S_CLUSTER_ENABLED", "false").lower() in ["true", "yes"]


def wait_for_healthcheck_util():
    assert not check_endpoint(f"{get_frontend_url()}/admin")
    assert not check_endpoint(f"{get_gms_url()}/health")


def check_endpoint(url):
    try:
        get = requests.get(url)
        if get.status_code == 200:
            return
        else:
            return f"{url}: is Not reachable, status_code: {get.status_code}"
    except requests.exceptions.RequestException as e:
        raise SystemExit(f"{url}: is Not reachable \nErr: {e}")


def ingest_file_via_rest(filename: str) -> Pipeline:
    pipeline = Pipeline.create(
        {
            "source": {
                "type": "file",
                "config": {"filename": filename},
            },
            "sink": {
                "type": "datahub-rest",
                "config": {"server": get_gms_url()},
            },
        }
    )
    pipeline.run()
    pipeline.raise_from_status()
    wait_for_writes_to_sync()
    return pipeline


@functools.lru_cache(maxsize=1)
def get_datahub_graph() -> DataHubGraph:
    return DataHubGraph(DatahubClientConfig(server=get_gms_url()))


def delete_urn(urn: str) -> None:
    get_datahub_graph().hard_delete_entity(urn)


def delete_urns(urns: List[str]) -> None:
    for urn in urns:
        delete_urn(urn)


def delete_urns_from_file(filename: str, shared_data: bool = False) -> None:
    if not cli_utils.get_boolean_env_variable("CLEANUP_DATA", True):
        print("Not cleaning data to save time")
        return
    session = requests.Session()
    session.headers.update(
        {
            "X-RestLi-Protocol-Version": "2.0.0",
            "Content-Type": "application/json",
        }
    )

    def delete(entry):
        is_mcp = "entityUrn" in entry
        urn = None
        # Kill Snapshot
        if is_mcp:
            urn = entry["entityUrn"]
        else:
            snapshot_union = entry["proposedSnapshot"]
            snapshot = list(snapshot_union.values())[0]
            urn = snapshot["urn"]
        delete_urn(urn)

    with open(filename) as f:
        d = json.load(f)
        Parallel(n_jobs=10)(delayed(delete)(entry) for entry in d)

    # Deletes require 60 seconds when run between tests operating on common data, otherwise standard sync wait
    if shared_data:
        wait_for_writes_to_sync()
    #        sleep(60)
    else:
        wait_for_writes_to_sync()


#        sleep(requests.ELASTICSEARCH_REFRESH_INTERVAL_SECONDS)


# Fixed now value
NOW: datetime = datetime.now()


def get_timestampmillis_at_start_of_day(relative_day_num: int) -> int:
    """
    Returns the time in milliseconds from epoch at the start of the day
    corresponding to `now + relative_day_num`

    """
    time: datetime = NOW + timedelta(days=float(relative_day_num))
    time = datetime(
        year=time.year,
        month=time.month,
        day=time.day,
        hour=0,
        minute=0,
        second=0,
        microsecond=0,
    )
    return int(time.timestamp() * 1000)


def get_strftime_from_timestamp_millis(ts_millis: int) -> str:
    return datetime.fromtimestamp(ts_millis / 1000, tz=timezone.utc).isoformat()


def create_datahub_step_state_aspect(
    username: str, onboarding_id: str
) -> Dict[str, Any]:
    entity_urn = f"urn:li:dataHubStepState:urn:li:corpuser:{username}-{onboarding_id}"
    print(f"Creating dataHubStepState aspect for {entity_urn}")
    return {
        "auditHeader": None,
        "entityType": "dataHubStepState",
        "entityUrn": entity_urn,
        "changeType": "UPSERT",
        "aspectName": "dataHubStepStateProperties",
        "aspect": {
            "value": f'{{"properties":{{}},"lastModified":{{"actor":"urn:li:corpuser:{username}","time":{TIME}}}}}',
            "contentType": "application/json",
        },
        "systemMetadata": None,
    }


def create_datahub_step_state_aspects(
    username: str, onboarding_ids: str, onboarding_filename
) -> None:
    """
    For a specific user, creates dataHubStepState aspects for each onboarding id in the list
    """
    aspects_dict: List[Dict[str, Any]] = [
        create_datahub_step_state_aspect(username, onboarding_id)
        for onboarding_id in onboarding_ids
    ]
    with open(onboarding_filename, "w") as f:
        json.dump(aspects_dict, f, indent=2)


def wait_for_writes_to_sync(max_timeout_in_sec: int = 120) -> None:
    start_time = time.time()
    # get offsets
    lag_zero = False
    while not lag_zero and (time.time() - start_time) < max_timeout_in_sec:
        time.sleep(1)  # micro-sleep
        completed_process = subprocess.run(
            "docker exec broker /bin/kafka-consumer-groups --bootstrap-server broker:29092 --group generic-mae-consumer-job-client --describe | grep -v LAG | awk '{print $6}'",
            capture_output=True,
            shell=True,
            text=True,
        )

        result = str(completed_process.stdout)
        lines = result.splitlines()
        lag_values = [int(l) for l in lines if l != ""]
        maximum_lag = max(lag_values)
        if maximum_lag == 0:
            lag_zero = True

    if not lag_zero:
        logger.warning(
            f"Exiting early from waiting for elastic to catch up due to a timeout. Current lag is {lag_values}"
        )