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# to you under the Apache License, Version 2.0 (the
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"""
This module contains a Google Kubernetes Engine Hook.

.. spelling:word-list::

    gapic
    enums
"""
from __future__ import annotations

import contextlib
import json
import time
import warnings
from functools import cached_property
from typing import TYPE_CHECKING, Sequence

from gcloud.aio.auth import Token
from google.api_core.exceptions import NotFound
from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.auth.transport import requests as google_requests

# not sure why but mypy complains on missing `container_v1` but it is clearly there and is importable
from google.cloud import container_v1, exceptions  # type: ignore[attr-defined]
from google.cloud.container_v1 import ClusterManagerAsyncClient, ClusterManagerClient
from google.cloud.container_v1.types import Cluster, Operation
from kubernetes import client
from kubernetes_asyncio import client as async_client
from kubernetes_asyncio.config.kube_config import FileOrData
from urllib3.exceptions import HTTPError

from airflow import version
from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning
from airflow.providers.cncf.kubernetes.utils.pod_manager import PodOperatorHookProtocol
from airflow.providers.google.common.consts import CLIENT_INFO
from airflow.providers.google.common.hooks.base_google import (
    PROVIDE_PROJECT_ID,
    GoogleBaseAsyncHook,
    GoogleBaseHook,
)

if TYPE_CHECKING:
    import google.auth.credentials
    from google.api_core.retry import Retry
    from kubernetes_asyncio.client.models import V1Pod

OPERATIONAL_POLL_INTERVAL = 15


class GKEHook(GoogleBaseHook):
    """Google Kubernetes Engine cluster APIs.

    All the methods in the hook where project_id is used must be called with
    keyword arguments rather than positional.
    """

    def __init__(
        self,
        gcp_conn_id: str = "google_cloud_default",
        location: str | None = None,
        impersonation_chain: str | Sequence[str] | None = None,
        **kwargs,
    ) -> None:
        if kwargs.get("delegate_to") is not None:
            raise RuntimeError(
                "The `delegate_to` parameter has been deprecated before and finally removed in this version"
                " of Google Provider. You MUST convert it to `impersonate_chain`"
            )
        super().__init__(
            gcp_conn_id=gcp_conn_id,
            impersonation_chain=impersonation_chain,
        )
        self._client: ClusterManagerClient | None = None
        self.location = location

    def get_cluster_manager_client(self) -> ClusterManagerClient:
        """Create or get a ClusterManagerClient."""
        if self._client is None:
            self._client = ClusterManagerClient(credentials=self.get_credentials(), client_info=CLIENT_INFO)
        return self._client

    # To preserve backward compatibility
    # TODO: remove one day
    def get_conn(self) -> container_v1.ClusterManagerClient:
        warnings.warn(
            "The get_conn method has been deprecated. You should use the get_cluster_manager_client method.",
            AirflowProviderDeprecationWarning,
        )
        return self.get_cluster_manager_client()

    # To preserve backward compatibility
    # TODO: remove one day
    def get_client(self) -> ClusterManagerClient:
        warnings.warn(
            "The get_client method has been deprecated. You should use the get_conn method.",
            AirflowProviderDeprecationWarning,
        )
        return self.get_conn()

    def wait_for_operation(self, operation: Operation, project_id: str | None = None) -> Operation:
        """Continuously fetch the status from Google Cloud.

        This is done until the given operation completes, or raises an error.

        :param operation: The Operation to wait for.
        :param project_id: Google Cloud project ID.
        :return: A new, updated operation fetched from Google Cloud.
        """
        self.log.info("Waiting for OPERATION_NAME %s", operation.name)
        time.sleep(OPERATIONAL_POLL_INTERVAL)
        while operation.status != Operation.Status.DONE:
            if operation.status == Operation.Status.RUNNING or operation.status == Operation.Status.PENDING:
                time.sleep(OPERATIONAL_POLL_INTERVAL)
            else:
                raise exceptions.GoogleCloudError(f"Operation has failed with status: {operation.status}")
            # To update status of operation
            operation = self.get_operation(operation.name, project_id=project_id or self.project_id)
        return operation

    def get_operation(self, operation_name: str, project_id: str | None = None) -> Operation:
        """Get an operation from Google Cloud.

        :param operation_name: Name of operation to fetch
        :param project_id: Google Cloud project ID
        :return: The new, updated operation from Google Cloud
        """
        return self.get_cluster_manager_client().get_operation(
            name=(
                f"projects/{project_id or self.project_id}"
                f"/locations/{self.location}/operations/{operation_name}"
            )
        )

    @staticmethod
    def _append_label(cluster_proto: Cluster, key: str, val: str) -> Cluster:
        """Append labels to provided Cluster Protobuf.

        Labels must fit the regex ``[a-z]([-a-z0-9]*[a-z0-9])?`` (current
         airflow version string follows semantic versioning spec: x.y.z).

        :param cluster_proto: The proto to append resource_label airflow
            version to
        :param key: The key label
        :param val:
        :return: The cluster proto updated with new label
        """
        val = val.replace(".", "-").replace("+", "-")
        cluster_proto.resource_labels.update({key: val})
        return cluster_proto

    @GoogleBaseHook.fallback_to_default_project_id
    def delete_cluster(
        self,
        name: str,
        project_id: str = PROVIDE_PROJECT_ID,
        wait_to_complete: bool = True,
        retry: Retry | _MethodDefault = DEFAULT,
        timeout: float | None = None,
    ) -> Operation | None:
        """Deletes the cluster, the Kubernetes endpoint, and all worker nodes.

        Firewalls and routes that were configured during cluster creation are
        also deleted. Other Google Compute Engine resources that might be in use
        by the cluster (e.g. load balancer resources) will not be deleted if
        they were not present at the initial create time.

        :param name: The name of the cluster to delete.
        :param project_id: Google Cloud project ID.
        :param wait_to_complete: If *True*, wait until the deletion is finished
            before returning.
        :param retry: Retry object used to determine when/if to retry requests.
            If None is specified, requests will not be retried.
        :param timeout: The amount of time, in seconds, to wait for the request
            to complete. Note that if retry is specified, the timeout applies to
            each individual attempt.
        :return: The full url to the delete operation if successful, else None.
        """
        self.log.info("Deleting (project_id=%s, location=%s, cluster_id=%s)", project_id, self.location, name)

        try:
            operation = self.get_cluster_manager_client().delete_cluster(
                name=f"projects/{project_id}/locations/{self.location}/clusters/{name}",
                retry=retry,
                timeout=timeout,
            )
            if wait_to_complete:
                operation = self.wait_for_operation(operation, project_id)
            # Returns server-defined url for the resource
            return operation
        except NotFound as error:
            self.log.info("Assuming Success: %s", error.message)
            return None

    @GoogleBaseHook.fallback_to_default_project_id
    def create_cluster(
        self,
        cluster: dict | Cluster,
        project_id: str = PROVIDE_PROJECT_ID,
        wait_to_complete: bool = True,
        retry: Retry | _MethodDefault = DEFAULT,
        timeout: float | None = None,
    ) -> Operation | Cluster:
        """Create a cluster.

        This should consist of the specified number, and the type of Google
        Compute Engine instances.

        :param cluster: A Cluster protobuf or dict. If dict is provided, it must
            be of the same form as the protobuf message
            :class:`google.cloud.container_v1.types.Cluster`.
        :param project_id: Google Cloud project ID.
        :param wait_to_complete: A boolean value which makes method to sleep
            while operation of creation is not finished.
        :param retry: A retry object (``google.api_core.retry.Retry``) used to
            retry requests. If None is specified, requests will not be retried.
        :param timeout: The amount of time, in seconds, to wait for the request
            to complete. Note that if retry is specified, the timeout applies to
            each individual attempt.
        :return: The full url to the new, or existing, cluster.
        :raises ParseError: On JSON parsing problems when trying to convert
            dict.
        :raises AirflowException: cluster is not dict type nor Cluster proto
            type.
        """
        if isinstance(cluster, dict):
            cluster = Cluster.from_json(json.dumps(cluster))
        elif not isinstance(cluster, Cluster):
            raise AirflowException("cluster is not instance of Cluster proto or python dict")

        self._append_label(cluster, "airflow-version", "v" + version.version)  # type: ignore

        self.log.info(
            "Creating (project_id=%s, location=%s, cluster_name=%s)",
            project_id,
            self.location,
            cluster.name,  # type: ignore
        )
        operation = self.get_cluster_manager_client().create_cluster(
            parent=f"projects/{project_id}/locations/{self.location}",
            cluster=cluster,  # type: ignore
            retry=retry,
            timeout=timeout,
        )

        if wait_to_complete:
            operation = self.wait_for_operation(operation, project_id)

        return operation

    @GoogleBaseHook.fallback_to_default_project_id
    def get_cluster(
        self,
        name: str,
        project_id: str = PROVIDE_PROJECT_ID,
        retry: Retry | _MethodDefault = DEFAULT,
        timeout: float | None = None,
    ) -> Cluster:
        """Get details of specified cluster.

        :param name: The name of the cluster to retrieve.
        :param project_id: Google Cloud project ID.
        :param retry: A retry object used to retry requests. If None is
            specified, requests will not be retried.
        :param timeout: The amount of time, in seconds, to wait for the request
            to complete. Note that if retry is specified, the timeout applies to
            each individual attempt.
        """
        self.log.info(
            "Fetching cluster (project_id=%s, location=%s, cluster_name=%s)",
            project_id or self.project_id,
            self.location,
            name,
        )

        return self.get_cluster_manager_client().get_cluster(
            name=f"projects/{project_id}/locations/{self.location}/clusters/{name}",
            retry=retry,
            timeout=timeout,
        )


class GKEAsyncHook(GoogleBaseAsyncHook):
    """Asynchronous client of GKE."""

    sync_hook_class = GKEHook

    def __init__(
        self,
        gcp_conn_id: str = "google_cloud_default",
        location: str | None = None,
        impersonation_chain: str | Sequence[str] | None = None,
    ) -> None:
        super().__init__(
            gcp_conn_id=gcp_conn_id,
            impersonation_chain=impersonation_chain,
        )
        self._client: ClusterManagerAsyncClient | None = None
        self.location = location

    async def _get_client(self) -> ClusterManagerAsyncClient:
        if self._client is None:
            self._client = ClusterManagerAsyncClient(
                credentials=(await self.get_sync_hook()).get_credentials(),
                client_info=CLIENT_INFO,
            )
        return self._client

    @GoogleBaseHook.fallback_to_default_project_id
    async def get_operation(
        self,
        operation_name: str,
        project_id: str = PROVIDE_PROJECT_ID,
    ) -> Operation:
        """Fetch an operation from Google Cloud.

        :param operation_name: Name of operation to fetch.
        :param project_id: Google Cloud project ID.
        :return: The new, updated operation from Google Cloud.
        """
        project_id = project_id or (await self.get_sync_hook()).project_id

        operation_path = f"projects/{project_id}/locations/{self.location}/operations/{operation_name}"
        client = await self._get_client()
        return await client.get_operation(
            name=operation_path,
        )


class GKEPodHook(GoogleBaseHook, PodOperatorHookProtocol):
    """Google Kubernetes Engine pod APIs."""

    def __init__(
        self,
        cluster_url: str,
        ssl_ca_cert: str,
        *args,
        **kwargs,
    ):
        super().__init__(*args, **kwargs)
        self._cluster_url = cluster_url
        self._ssl_ca_cert = ssl_ca_cert

    @cached_property
    def api_client(self) -> client.ApiClient:
        return self.get_conn()

    @cached_property
    def core_v1_client(self) -> client.CoreV1Api:
        return client.CoreV1Api(self.api_client)

    @property
    def is_in_cluster(self) -> bool:
        return False

    def get_namespace(self):
        """Get the namespace configured by the Airflow connection."""

    def _get_namespace(self):
        """For compatibility with KubernetesHook. Deprecated; do not use."""

    def get_xcom_sidecar_container_image(self):
        """Get the xcom sidecar image defined in the connection.

        Implemented for compatibility with KubernetesHook.
        """

    def get_xcom_sidecar_container_resources(self):
        """Get the xcom sidecar resources defined in the connection.

        Implemented for compatibility with KubernetesHook.
        """

    def get_conn(self) -> client.ApiClient:
        configuration = self._get_config()
        configuration.refresh_api_key_hook = self._refresh_api_key_hook
        return client.ApiClient(configuration)

    def _refresh_api_key_hook(self, configuration: client.configuration.Configuration):
        configuration.api_key = {"authorization": self._get_token(self.get_credentials())}

    def _get_config(self) -> client.configuration.Configuration:
        configuration = client.Configuration(
            host=self._cluster_url,
            api_key_prefix={"authorization": "Bearer"},
            api_key={"authorization": self._get_token(self.get_credentials())},
        )
        configuration.ssl_ca_cert = FileOrData(
            {
                "certificate-authority-data": self._ssl_ca_cert,
            },
            file_key_name="certificate-authority",
        ).as_file()
        return configuration

    @staticmethod
    def _get_token(creds: google.auth.credentials.Credentials) -> str:
        if creds.token is None or creds.expired:
            auth_req = google_requests.Request()
            creds.refresh(auth_req)
        return creds.token

    def get_pod(self, name: str, namespace: str) -> V1Pod:
        """Get a pod object.

        :param name: Name of the pod.
        :param namespace: Name of the pod's namespace.
        """
        return self.core_v1_client.read_namespaced_pod(
            name=name,
            namespace=namespace,
        )


class GKEPodAsyncHook(GoogleBaseAsyncHook):
    """Google Kubernetes Engine pods APIs asynchronously.

    :param cluster_url: The URL pointed to the cluster.
    :param ssl_ca_cert: SSL certificate used for authentication to the pod.
    """

    sync_hook_class = GKEPodHook
    scopes = ["https://www.googleapis.com/auth/cloud-platform"]

    def __init__(self, cluster_url: str, ssl_ca_cert: str, **kwargs) -> None:
        self._cluster_url = cluster_url
        self._ssl_ca_cert = ssl_ca_cert
        super().__init__(cluster_url=cluster_url, ssl_ca_cert=ssl_ca_cert, **kwargs)

    @contextlib.asynccontextmanager
    async def get_conn(self, token: Token) -> async_client.ApiClient:  # type: ignore[override]
        kube_client = None
        try:
            kube_client = await self._load_config(token)
            yield kube_client
        finally:
            if kube_client is not None:
                await kube_client.close()

    async def _load_config(self, token: Token) -> async_client.ApiClient:
        configuration = self._get_config()
        access_token = await token.get()
        return async_client.ApiClient(
            configuration,
            header_name="Authorization",
            header_value=f"Bearer {access_token}",
        )

    def _get_config(self) -> async_client.configuration.Configuration:
        configuration = async_client.Configuration(
            host=self._cluster_url,
            ssl_ca_cert=FileOrData(
                {
                    "certificate-authority-data": self._ssl_ca_cert,
                },
                file_key_name="certificate-authority",
            ).as_file(),
        )
        return configuration

    async def get_pod(self, name: str, namespace: str) -> V1Pod:
        """Get a pod object.

        :param name: Name of the pod.
        :param namespace: Name of the pod's namespace.
        """
        async with Token(scopes=self.scopes) as token:
            async with self.get_conn(token) as connection:
                v1_api = async_client.CoreV1Api(connection)
                pod: V1Pod = await v1_api.read_namespaced_pod(
                    name=name,
                    namespace=namespace,
                )
            return pod

    async def delete_pod(self, name: str, namespace: str):
        """Delete a pod.

        :param name: Name of the pod.
        :param namespace: Name of the pod's namespace.
        """
        async with Token(scopes=self.scopes) as token, self.get_conn(token) as connection:
            try:
                v1_api = async_client.CoreV1Api(connection)
                await v1_api.delete_namespaced_pod(
                    name=name,
                    namespace=namespace,
                    body=client.V1DeleteOptions(),
                )
            except async_client.ApiException as e:
                # If the pod is already deleted
                if e.status != 404:
                    raise

    async def read_logs(self, name: str, namespace: str):
        """Read logs inside the pod while starting containers inside.

        All the logs will be outputted with its timestamp to track the logs
        after the execution of the pod is completed. The method is used for
        async output of the logs only in the pod failed it execution or the task
        was cancelled by the user.

        :param name: Name of the pod.
        :param namespace: Name of the pod's namespace.
        """
        async with Token(scopes=self.scopes) as token, self.get_conn(token) as connection:
            try:
                v1_api = async_client.CoreV1Api(connection)
                logs = await v1_api.read_namespaced_pod_log(
                    name=name,
                    namespace=namespace,
                    follow=False,
                    timestamps=True,
                )
                logs = logs.splitlines()
                for line in logs:
                    self.log.info("Container logs from %s", line)
                return logs
            except HTTPError:
                self.log.exception("There was an error reading the kubernetes API.")
                raise
