#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
"""Airflow logging settings."""
from __future__ import annotations

import os
from pathlib import Path
from typing import Any
from urllib.parse import urlsplit

from airflow.configuration import conf
from airflow.exceptions import AirflowException

LOG_LEVEL: str = conf.get_mandatory_value("logging", "LOGGING_LEVEL").upper()


# Flask appbuilder's info level log is very verbose,
# so it's set to 'WARN' by default.
FAB_LOG_LEVEL: str = conf.get_mandatory_value("logging", "FAB_LOGGING_LEVEL").upper()

LOG_FORMAT: str = conf.get_mandatory_value("logging", "LOG_FORMAT")
DAG_PROCESSOR_LOG_FORMAT: str = conf.get_mandatory_value("logging", "DAG_PROCESSOR_LOG_FORMAT")

LOG_FORMATTER_CLASS: str = conf.get_mandatory_value(
    "logging", "LOG_FORMATTER_CLASS", fallback="airflow.utils.log.timezone_aware.TimezoneAware"
)

COLORED_LOG_FORMAT: str = conf.get_mandatory_value("logging", "COLORED_LOG_FORMAT")

COLORED_LOG: bool = conf.getboolean("logging", "COLORED_CONSOLE_LOG")

COLORED_FORMATTER_CLASS: str = conf.get_mandatory_value("logging", "COLORED_FORMATTER_CLASS")

DAG_PROCESSOR_LOG_TARGET: str = conf.get_mandatory_value("logging", "DAG_PROCESSOR_LOG_TARGET")

BASE_LOG_FOLDER: str = conf.get_mandatory_value("logging", "BASE_LOG_FOLDER")

PROCESSOR_LOG_FOLDER: str = conf.get_mandatory_value("scheduler", "CHILD_PROCESS_LOG_DIRECTORY")

DAG_PROCESSOR_MANAGER_LOG_LOCATION: str = conf.get_mandatory_value(
    "logging", "DAG_PROCESSOR_MANAGER_LOG_LOCATION"
)

# FILENAME_TEMPLATE only uses in Remote Logging Handlers since Airflow 2.3.3
# All of these handlers inherited from FileTaskHandler and providing any value rather than None
# would raise deprecation warning.
FILENAME_TEMPLATE: str | None = None

PROCESSOR_FILENAME_TEMPLATE: str = conf.get_mandatory_value("logging", "LOG_PROCESSOR_FILENAME_TEMPLATE")

DEFAULT_LOGGING_CONFIG: dict[str, Any] = {
    "version": 1,
    "disable_existing_loggers": False,
    "formatters": {
        "airflow": {
            "format": LOG_FORMAT,
            "class": LOG_FORMATTER_CLASS,
        },
        "airflow_coloured": {
            "format": COLORED_LOG_FORMAT if COLORED_LOG else LOG_FORMAT,
            "class": COLORED_FORMATTER_CLASS if COLORED_LOG else LOG_FORMATTER_CLASS,
        },
        "source_processor": {
            "format": DAG_PROCESSOR_LOG_FORMAT,
            "class": LOG_FORMATTER_CLASS,
        },
    },
    "filters": {
        "mask_secrets": {
            "()": "airflow.utils.log.secrets_masker.SecretsMasker",
        },
    },
    "handlers": {
        # NOTE: Add a "raw" python console logger. Using 'console' results
        #       in a state of recursion.
        'py-console': {
            'class': 'logging.StreamHandler',
            'formatter': 'airflow',
            'stream': 'ext://sys.stdout',
            "filters": ["mask_secrets"],
        },
        "console": {
            "class": "airflow.utils.log.logging_mixin.RedirectStdHandler",
            "formatter": "airflow_coloured",
            "stream": "sys.stdout",
            "filters": ["mask_secrets"],
        },
        "task": {
            "class": "airflow.utils.log.file_task_handler.FileTaskHandler",
            "formatter": "airflow",
            "base_log_folder": os.path.expanduser(BASE_LOG_FOLDER),
            "filters": ["mask_secrets"],
        },
        "processor": {
            "class": "airflow.utils.log.file_processor_handler.FileProcessorHandler",
            "formatter": "airflow",
            "base_log_folder": os.path.expanduser(PROCESSOR_LOG_FOLDER),
            "filename_template": PROCESSOR_FILENAME_TEMPLATE,
            "filters": ["mask_secrets"],
        },
        "processor_to_stdout": {
            "class": "airflow.utils.log.logging_mixin.RedirectStdHandler",
            "formatter": "source_processor",
            "stream": "sys.stdout",
            "filters": ["mask_secrets"],
        },
    },
    "loggers": {
        "airflow.processor": {
            "handlers": ["processor_to_stdout" if DAG_PROCESSOR_LOG_TARGET == "stdout" else "processor"],
            "level": LOG_LEVEL,
            # Set to true here (and reset via set_context) so that if no file is configured we still get logs!
            "propagate": True,
        },
        "airflow.task": {
            # NOTE: Modified for use by Shipyard/Airflow (add console logging)
            #       The supplied console logger cannot be used here, as it
            #       Leads to out-of-control memory usage
            'handlers': ['task', 'py-console'],
            "level": LOG_LEVEL,
            # Set to true here (and reset via set_context) so that if no file is configured we still get logs!
            "propagate": True,
            "filters": ["mask_secrets"],
        },
        "flask_appbuilder": {
            "handlers": ["console"],
            "level": FAB_LOG_LEVEL,
            "propagate": True,
        },
    },
    "root": {
        "handlers": ["console"],
        "level": LOG_LEVEL,
        "filters": ["mask_secrets"],
    },
}

EXTRA_LOGGER_NAMES: str | None = conf.get("logging", "EXTRA_LOGGER_NAMES", fallback=None)
if EXTRA_LOGGER_NAMES:
    new_loggers = {
        logger_name.strip(): {
            "handlers": ["console"],
            "level": LOG_LEVEL,
            "propagate": True,
        }
        for logger_name in EXTRA_LOGGER_NAMES.split(",")
    }
    DEFAULT_LOGGING_CONFIG["loggers"].update(new_loggers)

DEFAULT_DAG_PARSING_LOGGING_CONFIG: dict[str, dict[str, dict[str, Any]]] = {
    "handlers": {
        "processor_manager": {
            "class": "airflow.utils.log.non_caching_file_handler.NonCachingRotatingFileHandler",
            "formatter": "airflow",
            "filename": DAG_PROCESSOR_MANAGER_LOG_LOCATION,
            "mode": "a",
            "maxBytes": 104857600,  # 100MB
            "backupCount": 5,
        }
    },
    "loggers": {
        "airflow.processor_manager": {
            "handlers": ["processor_manager"],
            "level": LOG_LEVEL,
            "propagate": False,
        }
    },
}

# Only update the handlers and loggers when CONFIG_PROCESSOR_MANAGER_LOGGER is set.
# This is to avoid exceptions when initializing RotatingFileHandler multiple times
# in multiple processes.
if os.environ.get("CONFIG_PROCESSOR_MANAGER_LOGGER") == "True":
    DEFAULT_LOGGING_CONFIG["handlers"].update(DEFAULT_DAG_PARSING_LOGGING_CONFIG["handlers"])
    DEFAULT_LOGGING_CONFIG["loggers"].update(DEFAULT_DAG_PARSING_LOGGING_CONFIG["loggers"])

    # Manually create log directory for processor_manager handler as RotatingFileHandler
    # will only create file but not the directory.
    processor_manager_handler_config: dict[str, Any] = DEFAULT_DAG_PARSING_LOGGING_CONFIG["handlers"][
        "processor_manager"
    ]
    directory: str = os.path.dirname(processor_manager_handler_config["filename"])
    Path(directory).mkdir(parents=True, exist_ok=True, mode=0o755)

##################
# Remote logging #
##################

REMOTE_LOGGING: bool = conf.getboolean("logging", "remote_logging")

if REMOTE_LOGGING:

    ELASTICSEARCH_HOST: str | None = conf.get("elasticsearch", "HOST")

    # Storage bucket URL for remote logging
    # S3 buckets should start with "s3://"
    # Cloudwatch log groups should start with "cloudwatch://"
    # GCS buckets should start with "gs://"
    # WASB buckets should start with "wasb"
    # HDFS path should start with "hdfs://"
    # just to help Airflow select correct handler
    REMOTE_BASE_LOG_FOLDER: str = conf.get_mandatory_value("logging", "REMOTE_BASE_LOG_FOLDER")
    REMOTE_TASK_HANDLER_KWARGS = conf.getjson("logging", "REMOTE_TASK_HANDLER_KWARGS", fallback={})

    if REMOTE_BASE_LOG_FOLDER.startswith("s3://"):
        S3_REMOTE_HANDLERS: dict[str, dict[str, str | None]] = {
            "task": {
                "class": "airflow.providers.amazon.aws.log.s3_task_handler.S3TaskHandler",
                "formatter": "airflow",
                "base_log_folder": str(os.path.expanduser(BASE_LOG_FOLDER)),
                "s3_log_folder": REMOTE_BASE_LOG_FOLDER,
                "filename_template": FILENAME_TEMPLATE,
            },
        }

        DEFAULT_LOGGING_CONFIG["handlers"].update(S3_REMOTE_HANDLERS)
    elif REMOTE_BASE_LOG_FOLDER.startswith("cloudwatch://"):
        url_parts = urlsplit(REMOTE_BASE_LOG_FOLDER)
        CLOUDWATCH_REMOTE_HANDLERS: dict[str, dict[str, str | None]] = {
            "task": {
                "class": "airflow.providers.amazon.aws.log.cloudwatch_task_handler.CloudwatchTaskHandler",
                "formatter": "airflow",
                "base_log_folder": str(os.path.expanduser(BASE_LOG_FOLDER)),
                "log_group_arn": url_parts.netloc + url_parts.path,
                "filename_template": FILENAME_TEMPLATE,
            },
        }

        DEFAULT_LOGGING_CONFIG["handlers"].update(CLOUDWATCH_REMOTE_HANDLERS)
    elif REMOTE_BASE_LOG_FOLDER.startswith("gs://"):
        key_path = conf.get_mandatory_value("logging", "GOOGLE_KEY_PATH", fallback=None)
        GCS_REMOTE_HANDLERS: dict[str, dict[str, str | None]] = {
            "task": {
                "class": "airflow.providers.google.cloud.log.gcs_task_handler.GCSTaskHandler",
                "formatter": "airflow",
                "base_log_folder": str(os.path.expanduser(BASE_LOG_FOLDER)),
                "gcs_log_folder": REMOTE_BASE_LOG_FOLDER,
                "filename_template": FILENAME_TEMPLATE,
                "gcp_key_path": key_path,
            },
        }

        DEFAULT_LOGGING_CONFIG["handlers"].update(GCS_REMOTE_HANDLERS)
    elif REMOTE_BASE_LOG_FOLDER.startswith("wasb"):
        WASB_REMOTE_HANDLERS: dict[str, dict[str, str | bool | None]] = {
            "task": {
                "class": "airflow.providers.microsoft.azure.log.wasb_task_handler.WasbTaskHandler",
                "formatter": "airflow",
                "base_log_folder": str(os.path.expanduser(BASE_LOG_FOLDER)),
                "wasb_log_folder": REMOTE_BASE_LOG_FOLDER,
                "wasb_container": "airflow-logs",
                "filename_template": FILENAME_TEMPLATE,
            },
        }

        DEFAULT_LOGGING_CONFIG["handlers"].update(WASB_REMOTE_HANDLERS)
    elif REMOTE_BASE_LOG_FOLDER.startswith("stackdriver://"):
        key_path = conf.get_mandatory_value("logging", "GOOGLE_KEY_PATH", fallback=None)
        # stackdriver:///airflow-tasks => airflow-tasks
        log_name = urlsplit(REMOTE_BASE_LOG_FOLDER).path[1:]
        STACKDRIVER_REMOTE_HANDLERS = {
            "task": {
                "class": "airflow.providers.google.cloud.log.stackdriver_task_handler.StackdriverTaskHandler",
                "formatter": "airflow",
                "name": log_name,
                "gcp_key_path": key_path,
            }
        }

        DEFAULT_LOGGING_CONFIG["handlers"].update(STACKDRIVER_REMOTE_HANDLERS)
    elif REMOTE_BASE_LOG_FOLDER.startswith("oss://"):
        OSS_REMOTE_HANDLERS = {
            "task": {
                "class": "airflow.providers.alibaba.cloud.log.oss_task_handler.OSSTaskHandler",
                "formatter": "airflow",
                "base_log_folder": os.path.expanduser(BASE_LOG_FOLDER),
                "oss_log_folder": REMOTE_BASE_LOG_FOLDER,
                "filename_template": FILENAME_TEMPLATE,
            },
        }
        DEFAULT_LOGGING_CONFIG["handlers"].update(OSS_REMOTE_HANDLERS)
    elif REMOTE_BASE_LOG_FOLDER.startswith("hdfs://"):
        HDFS_REMOTE_HANDLERS: dict[str, dict[str, str | None]] = {
            "task": {
                "class": "airflow.providers.apache.hdfs.log.hdfs_task_handler.HdfsTaskHandler",
                "formatter": "airflow",
                "base_log_folder": str(os.path.expanduser(BASE_LOG_FOLDER)),
                "hdfs_log_folder": REMOTE_BASE_LOG_FOLDER,
                "filename_template": FILENAME_TEMPLATE,
            },
        }
        DEFAULT_LOGGING_CONFIG["handlers"].update(HDFS_REMOTE_HANDLERS)
    elif ELASTICSEARCH_HOST:
        ELASTICSEARCH_END_OF_LOG_MARK: str = conf.get_mandatory_value("elasticsearch", "END_OF_LOG_MARK")
        ELASTICSEARCH_FRONTEND: str = conf.get_mandatory_value("elasticsearch", "frontend")
        ELASTICSEARCH_WRITE_STDOUT: bool = conf.getboolean("elasticsearch", "WRITE_STDOUT")
        ELASTICSEARCH_JSON_FORMAT: bool = conf.getboolean("elasticsearch", "JSON_FORMAT")
        ELASTICSEARCH_JSON_FIELDS: str = conf.get_mandatory_value("elasticsearch", "JSON_FIELDS")
        ELASTICSEARCH_HOST_FIELD: str = conf.get_mandatory_value("elasticsearch", "HOST_FIELD")
        ELASTICSEARCH_OFFSET_FIELD: str = conf.get_mandatory_value("elasticsearch", "OFFSET_FIELD")

        ELASTIC_REMOTE_HANDLERS: dict[str, dict[str, str | bool | None]] = {
            "task": {
                "class": "airflow.providers.elasticsearch.log.es_task_handler.ElasticsearchTaskHandler",
                "formatter": "airflow",
                "base_log_folder": str(os.path.expanduser(BASE_LOG_FOLDER)),
                "filename_template": FILENAME_TEMPLATE,
                "end_of_log_mark": ELASTICSEARCH_END_OF_LOG_MARK,
                "host": ELASTICSEARCH_HOST,
                "frontend": ELASTICSEARCH_FRONTEND,
                "write_stdout": ELASTICSEARCH_WRITE_STDOUT,
                "json_format": ELASTICSEARCH_JSON_FORMAT,
                "json_fields": ELASTICSEARCH_JSON_FIELDS,
                "host_field": ELASTICSEARCH_HOST_FIELD,
                "offset_field": ELASTICSEARCH_OFFSET_FIELD,
            },
        }

        DEFAULT_LOGGING_CONFIG["handlers"].update(ELASTIC_REMOTE_HANDLERS)
    else:
        raise AirflowException(
            "Incorrect remote log configuration. Please check the configuration of option 'host' in "
            "section 'elasticsearch' if you are using Elasticsearch. In the other case, "
            "'remote_base_log_folder' option in the 'logging' section."
        )
    DEFAULT_LOGGING_CONFIG["handlers"]["task"].update(REMOTE_TASK_HANDLER_KWARGS)