#!/usr/bin/python3

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import datalab.fab
import datalab.actions_lib
import datalab.meta_lib
import json
import logging
import os
import sys
import traceback
import subprocess
from fabric import *

if __name__ == "__main__":
    local_log_filename = "{}_{}_{}.log".format(os.environ['conf_resource'], os.environ['project_name'],
                                               os.environ['request_id'])
    local_log_filepath = "/logs/" + os.environ['conf_resource'] + "/" + local_log_filename
    logging.basicConfig(format='%(levelname)-8s [%(asctime)s]  %(message)s',
                        level=logging.DEBUG,
                        filename=local_log_filepath)
    try:
        GCPMeta = datalab.meta_lib.GCPMeta()
        GCPActions = datalab.actions_lib.GCPActions()
        notebook_config = dict()
        try:
            notebook_config['exploratory_name'] = (os.environ['exploratory_name']).replace('_', '-').lower()
        except:
            notebook_config['exploratory_name'] = ''
        notebook_config['service_base_name'] = (os.environ['conf_service_base_name'])
        notebook_config['instance_type'] = os.environ['gcp_notebook_instance_size']
        notebook_config['key_name'] = os.environ['conf_key_name']
        notebook_config['edge_user_name'] = (os.environ['edge_user_name'])
        notebook_config['project_name'] = (os.environ['project_name']).replace('_', '-').lower()
        notebook_config['project_tag'] = notebook_config['project_name']
        notebook_config['endpoint_name'] = (os.environ['endpoint_name']).replace('_', '-').lower()
        notebook_config['endpoint_tag'] = notebook_config['endpoint_name']
        notebook_config['instance_name'] = '{0}-{1}-{2}-nb-{3}'.format(notebook_config['service_base_name'],
                                                                       notebook_config['project_name'],
                                                                       notebook_config['endpoint_name'],
                                                                       notebook_config['exploratory_name'])
        notebook_config['image_enabled'] = os.environ['conf_image_enabled']
        notebook_config['shared_image_enabled'] = os.environ['conf_shared_image_enabled']
        if notebook_config['shared_image_enabled'] == 'false':
            notebook_config['expected_primary_image_name'] = '{}-{}-{}-{}-primary-image'.format(
                notebook_config['service_base_name'], notebook_config['project_name'], notebook_config['endpoint_name'],
                os.environ['application'])
            notebook_config['expected_secondary_image_name'] = '{}-{}-{}-{}-secondary-image'.format(
                notebook_config['service_base_name'], notebook_config['project_name'], notebook_config['endpoint_name'],
                os.environ['application'])
            notebook_config['image_labels'] = {"sbn": notebook_config['service_base_name'],
                                               "endpoint_tag": notebook_config['endpoint_tag'],
                                               "project_tag": notebook_config['project_tag'],
                                               os.environ['conf_billing_tag_key']: os.environ['conf_billing_tag_value']}
        else:
            notebook_config['expected_primary_image_name'] = '{}-{}-{}-primary-image'.format(
                notebook_config['service_base_name'], notebook_config['endpoint_name'], os.environ['application'])
            notebook_config['expected_secondary_image_name'] = '{}-{}-{}-secondary-image'.format(
                notebook_config['service_base_name'], notebook_config['endpoint_name'], os.environ['application'])
            notebook_config['image_labels'] = {"sbn": notebook_config['service_base_name'],
                                               "endpoint_tag": notebook_config['endpoint_tag'],
                                               os.environ['conf_billing_tag_key']: os.environ['conf_billing_tag_value']}
        # generating variables regarding EDGE proxy on Notebook instance
        instance_hostname = GCPMeta.get_private_ip_address(notebook_config['instance_name'])
        edge_instance_name = '{0}-{1}-{2}-edge'.format(notebook_config['service_base_name'],
                                                       notebook_config['project_name'],
                                                       notebook_config['endpoint_name'])
        edge_instance_hostname = GCPMeta.get_instance_public_ip_by_name(edge_instance_name)
        edge_instance_private_ip = GCPMeta.get_private_ip_address(edge_instance_name)
        notebook_config['ssh_key_path'] = '{0}{1}.pem'.format(os.environ['conf_key_dir'], os.environ['conf_key_name'])
        notebook_config['datalab_ssh_user'] = os.environ['conf_os_user']
        notebook_config['zone'] = os.environ['gcp_zone']
        notebook_config['shared_image_enabled'] = os.environ['conf_shared_image_enabled']
    except Exception as err:
        datalab.fab.append_result("Failed to generate variables dictionary", str(err))
        GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
        sys.exit(1)

    try:
        if os.environ['conf_os_family'] == 'debian':
            notebook_config['initial_user'] = 'ubuntu'
            notebook_config['sudo_group'] = 'sudo'
        if os.environ['conf_os_family'] == 'redhat':
            notebook_config['initial_user'] = 'ec2-user'
            notebook_config['sudo_group'] = 'wheel'

        logging.info('[CREATING DATALAB SSH USER]')
        print('[CREATING DATALAB SSH USER]')
        params = "--hostname {} --keyfile {} --initial_user {} --os_user {} --sudo_group {}".format(
            instance_hostname, notebook_config['ssh_key_path'], notebook_config['initial_user'],
            notebook_config['datalab_ssh_user'], notebook_config['sudo_group'])

        try:
            subprocess.run("~/scripts/{}.py {}".format('create_ssh_user', params), shell=True, check=True)
        except:
            traceback.print_exc()
            raise Exception
    except Exception as err:
        datalab.fab.append_result("Failed creating ssh user 'datalab'.", str(err))
        GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
        sys.exit(1)

    # configuring proxy on Notebook instance
    try:
        logging.info('[CONFIGURE PROXY ON DEEPLEARNING INSTANCE]')
        print('[CONFIGURE PROXY ON DEEPLEARNING INSTANCE]')
        additional_config = {"proxy_host": edge_instance_name, "proxy_port": "3128"}
        params = "--hostname {} --instance_name {} --keyfile {} --additional_config '{}' --os_user {}" \
            .format(instance_hostname, notebook_config['instance_name'], notebook_config['ssh_key_path'],
                    json.dumps(additional_config), notebook_config['datalab_ssh_user'])
        try:
            subprocess.run("~/scripts/{}.py {}".format('common_configure_proxy', params), shell=True, check=True)
        except:
            traceback.print_exc()
            raise Exception
    except Exception as err:
        datalab.fab.append_result("Failed to configure proxy.", str(err))
        GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
        sys.exit(1)

    # updating repositories & installing python packages
    try:
        logging.info('[INSTALLING PREREQUISITES TO DEEPLEARNING NOTEBOOK INSTANCE]')
        print('[INSTALLING PREREQUISITES TO DEEPLEARNING NOTEBOOK INSTANCE]')
        params = "--hostname {} --keyfile {} --user {} --region {}". \
            format(instance_hostname, notebook_config['ssh_key_path'], notebook_config['datalab_ssh_user'],
                   os.environ['gcp_region'])
        try:
            subprocess.run("~/scripts/{}.py {}".format('install_prerequisites', params), shell=True, check=True)
        except:
            traceback.print_exc()
            raise Exception
    except Exception as err:
        datalab.fab.append_result("Failed installing apps: apt & pip.", str(err))
        GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
        sys.exit(1)

    try:
        logging.info('[CONFIGURE DEEP LEARNING NOTEBOOK INSTANCE]')
        print('[CONFIGURE DEEP LEARNING NOTEBOOK INSTANCE]')
        params = "--hostname {} --keyfile {} " \
                 "--os_user {} --jupyter_version {} " \
                 "--scala_version {} --spark_version {} " \
                 "--hadoop_version {} --region {} " \
                 "--r_mirror {} --exploratory_name {} --edge_ip {}" \
            .format(instance_hostname, notebook_config['ssh_key_path'], notebook_config['datalab_ssh_user'],
                    os.environ['notebook_jupyter_version'], os.environ['notebook_scala_version'],
                    os.environ['notebook_spark_version'], os.environ['notebook_hadoop_version'],
                    os.environ['gcp_region'], os.environ['notebook_r_mirror'],
                    notebook_config['exploratory_name'], edge_instance_private_ip)
        try:
            subprocess.run("~/scripts/{}.py {}".format('configure_deep_learning_node', params), shell=True, check=True)
        except:
            traceback.print_exc()
            raise Exception
    except Exception as err:
        datalab.fab.append_result("Failed to configure Deep Learning node.", str(err))
        GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
        sys.exit(1)

    try:
        print('[INSTALLING USERs KEY]')
        logging.info('[INSTALLING USERs KEY]')
        additional_config = {"user_keyname": notebook_config['project_name'],
                             "user_keydir": os.environ['conf_key_dir']}
        params = "--hostname {} --keyfile {} --additional_config '{}' --user {}".format(
            instance_hostname, notebook_config['ssh_key_path'], json.dumps(additional_config),
            notebook_config['datalab_ssh_user'])
        try:
            subprocess.run("~/scripts/{}.py {}".format('install_user_key', params), shell=True, check=True)
        except:
            datalab.fab.append_result("Failed installing users key")
            raise Exception
    except Exception as err:
        datalab.fab.append_result("Failed installing users key.", str(err))
        GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
        sys.exit(1)

    try:
        print('[SETUP USER GIT CREDENTIALS]')
        logging.info('[SETUP USER GIT CREDENTIALS]')
        params = '--os_user {} --notebook_ip {} --keyfile "{}"' \
            .format(notebook_config['datalab_ssh_user'], instance_hostname, notebook_config['ssh_key_path'])
        try:
            subprocess.run("~/scripts/{}.py {}".format('common_download_git_certfile', params), shell=True, check=True)
            subprocess.run("~/scripts/{}.py {}".format('manage_git_creds', params), shell=True, check=True)
        except:
            datalab.fab.append_result("Failed setup git credentials")
            raise Exception
    except Exception as err:
        datalab.fab.append_result("Failed to setup git credentials.", str(err))
        GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
        sys.exit(1)

    if notebook_config['image_enabled'] == 'true':
        try:
            print('[CREATING IMAGE]')
            primary_image_id = GCPMeta.get_image_by_name(notebook_config['expected_primary_image_name'])
            if primary_image_id == '':
                print("Looks like it's first time we configure notebook server. Creating images.")
                image_id_list = GCPActions.create_image_from_instance_disks(
                    notebook_config['expected_primary_image_name'], notebook_config['expected_secondary_image_name'],
                    notebook_config['instance_name'], notebook_config['zone'], notebook_config['image_labels'])
                if image_id_list and image_id_list[0] != '':
                    print("Image of primary disk was successfully created. It's ID is {}".format(image_id_list[0]))
                else:
                    print("Looks like another image creating operation for your template have been started a "
                          "moment ago.")
                if image_id_list and image_id_list[1] != '':
                    print("Image of secondary disk was successfully created. It's ID is {}".format(image_id_list[1]))
        except Exception as err:
            datalab.fab.append_result("Failed creating image.", str(err))
            GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
            GCPActions.remove_image(notebook_config['expected_primary_image_name'])
            GCPActions.remove_image(notebook_config['expected_secondary_image_name'])
            sys.exit(1)

    try:
        print('[SETUP EDGE REVERSE PROXY TEMPLATE]')
        logging.info('[SETUP EDGE REVERSE PROXY TEMPLATE]')
        additional_info = {
            'instance_hostname': instance_hostname,
            'tensor': True
        }
        params = "--edge_hostname {} " \
                 "--keyfile {} " \
                 "--os_user {} " \
                 "--type {} " \
                 "--exploratory_name {} " \
                 "--additional_info '{}'"\
            .format(edge_instance_hostname,
                    notebook_config['ssh_key_path'],
                    notebook_config['datalab_ssh_user'],
                    'jupyter',
                    notebook_config['exploratory_name'],
                    json.dumps(additional_info))
        try:
            subprocess.run("~/scripts/{}.py {}".format('common_configure_reverse_proxy', params), shell=True, check=True)
        except:
            datalab.fab.append_result("Failed edge reverse proxy template")
            raise Exception
    except Exception as err:
        datalab.fab.append_result("Failed to set edge reverse proxy template.", str(err))
        GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
        sys.exit(1)

    try:
        # generating output information
        ip_address = GCPMeta.get_private_ip_address(notebook_config['instance_name'])
        #tensorboard_url = "http://" + ip_address + ":6006/"
        jupyter_ip_url = 'http://' + ip_address + ':8888/{}/'.format(notebook_config['exploratory_name'])
        ungit_ip_url = "http://" + ip_address + ":8085/{}-ungit/".format(
            notebook_config['exploratory_name'])
        jupyter_notebook_access_url = "https://" + edge_instance_hostname + "/{}/".format(
            notebook_config['exploratory_name'])
        jupyter_ungit_access_url = "https://" + edge_instance_hostname + "/{}-ungit/".format(
            notebook_config['exploratory_name'])
        #tensorboard_access_url = "https://" + edge_instance_hostname + "/{}-tensor/".format(
        #    notebook_config['exploratory_name'])
        print('[SUMMARY]')
        logging.info('[SUMMARY]')
        print("Instance name: {}".format(notebook_config['instance_name']))
        print("Private IP: {}".format(ip_address))
        print("Instance type: {}".format(notebook_config['instance_type']))
        print("Key name: {}".format(notebook_config['key_name']))
        print("User key name: {}".format(notebook_config['project_name']))
        #print("TensorBoard URL: {}".format(tensorboard_url))
        #print("TensorBoard log dir: /var/log/tensorboard")
        print("Jupyter URL: {}".format(jupyter_ip_url))
        print("Ungit URL: {}".format(ungit_ip_url))
        print('SSH access (from Edge node, via IP address): ssh -i {0}.pem {1}@{2}'.format(
            notebook_config['key_name'], notebook_config['datalab_ssh_user'], ip_address))

        with open("/root/result.json", 'w') as result:
            res = {"hostname": ip_address,
                   "ip": ip_address,
                   "instance_id": notebook_config['instance_name'],
                   "master_keyname": os.environ['conf_key_name'],
                   "tensorboard_log_dir": "/var/log/tensorboard",
                   "notebook_name": notebook_config['instance_name'],
                   "Action": "Create new notebook server",
                   "exploratory_url": [
                       {"description": "Jupyter",
                        "url": jupyter_notebook_access_url},
                       #{"description": "TensorBoard",
                       # "url": tensorboard_access_url},
                       {"description": "Ungit",
                        "url": jupyter_ungit_access_url}#,
                       #{"description": "Jupyter (via tunnel)",
                       # "url": jupyter_ip_url},
                       #{"description": "TensorBoard (via tunnel)",
                       # "url": tensorboard_url},
                       #{"description": "Ungit (via tunnel)",
                       # "url": ungit_ip_url}
                   ]}
            result.write(json.dumps(res))
    except Exception as err:
        datalab.fab.append_result("Failed to generate output information", str(err))
        GCPActions.remove_instance(notebook_config['instance_name'], notebook_config['zone'])
        sys.exit(1)