Source code for airflow.providers.apache.hdfs.log.hdfs_task_handler

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# 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
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#   http://www.apache.org/licenses/LICENSE-2.0
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from __future__ import annotations

import os
import pathlib
import shutil
from functools import cached_property
from urllib.parse import urlsplit

from airflow.configuration import conf
from airflow.providers.apache.hdfs.hooks.webhdfs import WebHDFSHook
from airflow.utils.log.file_task_handler import FileTaskHandler
from airflow.utils.log.logging_mixin import LoggingMixin



[docs]class HdfsTaskHandler(FileTaskHandler, LoggingMixin):
    """Logging handler to upload and read from HDFS."""

    def __init__(
        self, base_log_folder: str, hdfs_log_folder: str, filename_template: str | None = None, **kwargs
    ):
        super().__init__(base_log_folder, filename_template)
        self.remote_base = urlsplit(hdfs_log_folder).path
        self.log_relative_path = ""
        self._hook = None
        self.closed = False
        self.upload_on_close = True
        self.delete_local_copy = kwargs.get(
            "delete_local_copy", conf.getboolean("logging", "delete_local_logs")
        )

    @cached_property

[docs]    def hook(self):
        """Returns WebHDFSHook."""
        return WebHDFSHook(webhdfs_conn_id=conf.get("logging", "REMOTE_LOG_CONN_ID"))



[docs]    def set_context(self, ti):
        super().set_context(ti)
        # Local location and remote location is needed to open and
        # upload local log file to HDFS storage.
        full_path = self.handler.baseFilename
        self.log_relative_path = pathlib.Path(full_path).relative_to(self.local_base).as_posix()
        is_trigger_log_context = getattr(ti, "is_trigger_log_context", False)
        self.upload_on_close = is_trigger_log_context or not ti.raw
        # Clear the file first so that duplicate data is not uploaded
        # when re-using the same path (e.g. with rescheduled sensors)
        if self.upload_on_close:
            with open(self.handler.baseFilename, "w"):
                pass



[docs]    def close(self):
        """Close and upload local log file to HDFS."""
        # When application exit, system shuts down all handlers by
        # calling close method. Here we check if logger is already
        # closed to prevent uploading the log to remote storage multiple
        # times when `logging.shutdown` is called.
        if self.closed:
            return

        super().close()

        if not self.upload_on_close:
            return

        local_loc = os.path.join(self.local_base, self.log_relative_path)
        remote_loc = os.path.join(self.remote_base, self.log_relative_path)
        if os.path.exists(local_loc) and os.path.isfile(local_loc):
            self.hook.load_file(local_loc, remote_loc)
            if self.delete_local_copy:
                shutil.rmtree(os.path.dirname(local_loc))

        # Mark closed so we don't double write if close is called twice
        self.closed = True


    def _read_remote_logs(self, ti, try_number, metadata=None):
        # Explicitly getting log relative path is necessary as the given
        # task instance might be different from task instance passed
        # in set_context method.
        worker_log_rel_path = self._render_filename(ti, try_number)

        logs = []
        messages = []
        file_path = os.path.join(self.remote_base, worker_log_rel_path)
        if self.hook.check_for_path(file_path):
            logs.append(self.hook.read_file(file_path).decode("utf-8"))
        else:
            messages.append(f"No logs found on hdfs for ti={ti}")

        return messages, logs

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