airflow hdfs 源码

  • 2022-10-20
  • 浏览 (398)

airflow hdfs 代码

文件路径:/airflow/providers/apache/hdfs/sensors/hdfs.py

#
# 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.
from __future__ import annotations

import logging
import re
import sys
from typing import TYPE_CHECKING, Any, Pattern, Sequence

from airflow import settings
from airflow.providers.apache.hdfs.hooks.hdfs import HDFSHook
from airflow.sensors.base import BaseSensorOperator

if TYPE_CHECKING:
    from airflow.utils.context import Context

log = logging.getLogger(__name__)


class HdfsSensor(BaseSensorOperator):
    """
    Waits for a file or folder to land in HDFS

    :param filepath: The route to a stored file.
    :param hdfs_conn_id: The Airflow connection used for HDFS credentials.
    :param ignored_ext: This is the list of ignored extensions.
    :param ignore_copying: Shall we ignore?
    :param file_size: This is the size of the file.

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:HdfsSensor`
    """

    template_fields: Sequence[str] = ('filepath',)
    ui_color = settings.WEB_COLORS['LIGHTBLUE']

    def __init__(
        self,
        *,
        filepath: str,
        hdfs_conn_id: str = 'hdfs_default',
        ignored_ext: list[str] | None = None,
        ignore_copying: bool = True,
        file_size: int | None = None,
        hook: type[HDFSHook] = HDFSHook,
        **kwargs: Any,
    ) -> None:
        super().__init__(**kwargs)
        if ignored_ext is None:
            ignored_ext = ['_COPYING_']
        self.filepath = filepath
        self.hdfs_conn_id = hdfs_conn_id
        self.file_size = file_size
        self.ignored_ext = ignored_ext
        self.ignore_copying = ignore_copying
        self.hook = hook

    @staticmethod
    def filter_for_filesize(result: list[dict[Any, Any]], size: int | None = None) -> list[dict[Any, Any]]:
        """
        Will test the filepath result and test if its size is at least self.filesize

        :param result: a list of dicts returned by Snakebite ls
        :param size: the file size in MB a file should be at least to trigger True
        :return: (bool) depending on the matching criteria
        """
        if size:
            log.debug('Filtering for file size >= %s in files: %s', size, map(lambda x: x['path'], result))
            size *= settings.MEGABYTE
            result = [x for x in result if x['length'] >= size]
            log.debug('HdfsSensor.poke: after size filter result is %s', result)
        return result

    @staticmethod
    def filter_for_ignored_ext(
        result: list[dict[Any, Any]], ignored_ext: list[str], ignore_copying: bool
    ) -> list[dict[Any, Any]]:
        """
        Will filter if instructed to do so the result to remove matching criteria

        :param result: list of dicts returned by Snakebite ls
        :param ignored_ext: list of ignored extensions
        :param ignore_copying: shall we ignore ?
        :return: list of dicts which were not removed
        :rtype: list[dict]
        """
        if ignore_copying:
            regex_builder = r"^.*\.(%s$)$" % '$|'.join(ignored_ext)
            ignored_extensions_regex = re.compile(regex_builder)
            log.debug(
                'Filtering result for ignored extensions: %s in files %s',
                ignored_extensions_regex.pattern,
                map(lambda x: x['path'], result),
            )
            result = [x for x in result if not ignored_extensions_regex.match(x['path'])]
            log.debug('HdfsSensor.poke: after ext filter result is %s', result)
        return result

    def poke(self, context: Context) -> bool:
        """Get a snakebite client connection and check for file."""
        sb_client = self.hook(self.hdfs_conn_id).get_conn()
        self.log.info('Poking for file %s', self.filepath)
        try:
            # IMOO it's not right here, as there is no raise of any kind.
            # if the filepath is let's say '/data/mydirectory',
            # it's correct but if it is '/data/mydirectory/*',
            # it's not correct as the directory exists and sb_client does not raise any error
            # here is a quick fix
            result = sb_client.ls([self.filepath], include_toplevel=False)
            self.log.debug('HdfsSensor.poke: result is %s', result)
            result = self.filter_for_ignored_ext(result, self.ignored_ext, self.ignore_copying)
            result = self.filter_for_filesize(result, self.file_size)
            return bool(result)
        except Exception:
            e = sys.exc_info()
            self.log.debug("Caught an exception !: %s", str(e))
            return False


class HdfsRegexSensor(HdfsSensor):
    """
    Waits for matching files by matching on regex

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:HdfsRegexSensor`
    """

    def __init__(self, regex: Pattern[str], *args: Any, **kwargs: Any) -> None:
        super().__init__(*args, **kwargs)
        self.regex = regex

    def poke(self, context: Context) -> bool:
        """
        Poke matching files in a directory with self.regex

        :return: Bool depending on the search criteria
        """
        sb_client = self.hook(self.hdfs_conn_id).get_conn()
        self.log.info(
            'Poking for %s to be a directory with files matching %s', self.filepath, self.regex.pattern
        )
        result = [
            f
            for f in sb_client.ls([self.filepath], include_toplevel=False)
            if f['file_type'] == 'f' and self.regex.match(f['path'].replace(f'{self.filepath}/', ''))
        ]
        result = self.filter_for_ignored_ext(result, self.ignored_ext, self.ignore_copying)
        result = self.filter_for_filesize(result, self.file_size)
        return bool(result)


class HdfsFolderSensor(HdfsSensor):
    """
    Waits for a non-empty directory

    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:HdfsFolderSensor`
    """

    def __init__(self, be_empty: bool = False, *args: Any, **kwargs: Any):
        super().__init__(*args, **kwargs)
        self.be_empty = be_empty

    def poke(self, context: Context) -> bool:
        """
        Poke for a non empty directory

        :return: Bool depending on the search criteria
        """
        sb_client = self.hook(self.hdfs_conn_id).get_conn()
        result = sb_client.ls([self.filepath], include_toplevel=True)
        result = self.filter_for_ignored_ext(result, self.ignored_ext, self.ignore_copying)
        result = self.filter_for_filesize(result, self.file_size)
        if self.be_empty:
            self.log.info('Poking for filepath %s to a empty directory', self.filepath)
            return len(result) == 1 and result[0]['path'] == self.filepath
        else:
            self.log.info('Poking for filepath %s to a non empty directory', self.filepath)
            result.pop(0)
            return bool(result) and result[0]['file_type'] == 'f'

相关信息

airflow 源码目录

相关文章

airflow init 源码

airflow web_hdfs 源码

0  赞