mirror of
https://github.com/ansible-collections/community.docker.git
synced 2025-12-15 19:42:06 +00:00
461 lines
14 KiB
Python
461 lines
14 KiB
Python
# Copyright 2016 Red Hat | Ansible
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# GNU General Public License v3.0+ (see LICENSES/GPL-3.0-or-later.txt or https://www.gnu.org/licenses/gpl-3.0.txt)
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# SPDX-License-Identifier: GPL-3.0-or-later
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from __future__ import annotations
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import json
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import re
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from datetime import timedelta
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from urllib.parse import urlparse
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from ansible.module_utils.basic import env_fallback
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from ansible.module_utils.common.collections import is_sequence
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from ansible.module_utils.common.text.converters import to_text
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DEFAULT_DOCKER_HOST = "unix:///var/run/docker.sock"
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DEFAULT_TLS = False
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DEFAULT_TLS_VERIFY = False
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DEFAULT_TLS_HOSTNAME = "localhost" # deprecated
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DEFAULT_TIMEOUT_SECONDS = 60
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DOCKER_COMMON_ARGS = dict(
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docker_host=dict(
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type="str",
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default=DEFAULT_DOCKER_HOST,
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fallback=(env_fallback, ["DOCKER_HOST"]),
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aliases=["docker_url"],
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),
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tls_hostname=dict(type="str", fallback=(env_fallback, ["DOCKER_TLS_HOSTNAME"])),
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api_version=dict(
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type="str",
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default="auto",
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fallback=(env_fallback, ["DOCKER_API_VERSION"]),
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aliases=["docker_api_version"],
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),
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timeout=dict(
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type="int",
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default=DEFAULT_TIMEOUT_SECONDS,
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fallback=(env_fallback, ["DOCKER_TIMEOUT"]),
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),
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ca_path=dict(type="path", aliases=["ca_cert", "tls_ca_cert", "cacert_path"]),
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client_cert=dict(type="path", aliases=["tls_client_cert", "cert_path"]),
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client_key=dict(type="path", aliases=["tls_client_key", "key_path"]),
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tls=dict(type="bool", default=DEFAULT_TLS, fallback=(env_fallback, ["DOCKER_TLS"])),
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use_ssh_client=dict(type="bool", default=False),
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validate_certs=dict(
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type="bool",
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default=DEFAULT_TLS_VERIFY,
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fallback=(env_fallback, ["DOCKER_TLS_VERIFY"]),
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aliases=["tls_verify"],
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),
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debug=dict(type="bool", default=False),
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)
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DOCKER_COMMON_ARGS_VARS = dict(
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[
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[option_name, f"ansible_docker_{option_name}"]
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for option_name in DOCKER_COMMON_ARGS
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if option_name != "debug"
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]
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)
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DOCKER_MUTUALLY_EXCLUSIVE = []
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DOCKER_REQUIRED_TOGETHER = [["client_cert", "client_key"]]
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DEFAULT_DOCKER_REGISTRY = "https://index.docker.io/v1/"
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BYTE_SUFFIXES = ["B", "KB", "MB", "GB", "TB", "PB"]
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def is_image_name_id(name):
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"""Check whether the given image name is in fact an image ID (hash)."""
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if re.match("^sha256:[0-9a-fA-F]{64}$", name):
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return True
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return False
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def is_valid_tag(tag, allow_empty=False):
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"""Check whether the given string is a valid docker tag name."""
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if not tag:
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return allow_empty
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# See here ("Extended description") for a definition what tags can be:
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# https://docs.docker.com/engine/reference/commandline/tag/
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return bool(re.match("^[a-zA-Z0-9_][a-zA-Z0-9_.-]{0,127}$", tag))
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def sanitize_result(data):
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"""Sanitize data object for return to Ansible.
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When the data object contains types such as docker.types.containers.HostConfig,
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Ansible will fail when these are returned via exit_json or fail_json.
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HostConfig is derived from dict, but its constructor requires additional
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arguments. This function sanitizes data structures by recursively converting
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everything derived from dict to dict and everything derived from list (and tuple)
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to a list.
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"""
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if isinstance(data, dict):
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return dict((k, sanitize_result(v)) for k, v in data.items())
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elif isinstance(data, (list, tuple)):
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return [sanitize_result(v) for v in data]
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else:
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return data
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def log_debug(msg, pretty_print=False):
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"""Write a log message to docker.log.
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If ``pretty_print=True``, the message will be pretty-printed as JSON.
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"""
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with open("docker.log", "a") as log_file:
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if pretty_print:
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log_file.write(
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json.dumps(msg, sort_keys=True, indent=4, separators=(",", ": "))
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)
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log_file.write("\n")
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else:
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log_file.write(f"{msg}\n")
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class DockerBaseClass(object):
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def __init__(self):
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self.debug = False
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def log(self, msg, pretty_print=False):
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pass
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# if self.debug:
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# log_debug(msg, pretty_print=pretty_print)
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def update_tls_hostname(
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result, old_behavior=False, deprecate_function=None, uses_tls=True
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):
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if result["tls_hostname"] is None:
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# get default machine name from the url
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parsed_url = urlparse(result["docker_host"])
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result["tls_hostname"] = parsed_url.netloc.rsplit(":", 1)[0]
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def compare_dict_allow_more_present(av, bv):
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"""
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Compare two dictionaries for whether every entry of the first is in the second.
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"""
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for key, value in av.items():
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if key not in bv:
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return False
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if bv[key] != value:
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return False
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return True
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def compare_generic(a, b, method, datatype):
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"""
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Compare values a and b as described by method and datatype.
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Returns ``True`` if the values compare equal, and ``False`` if not.
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``a`` is usually the module's parameter, while ``b`` is a property
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of the current object. ``a`` must not be ``None`` (except for
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``datatype == 'value'``).
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Valid values for ``method`` are:
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- ``ignore`` (always compare as equal);
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- ``strict`` (only compare if really equal)
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- ``allow_more_present`` (allow b to have elements which a does not have).
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Valid values for ``datatype`` are:
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- ``value``: for simple values (strings, numbers, ...);
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- ``list``: for ``list``s or ``tuple``s where order matters;
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- ``set``: for ``list``s, ``tuple``s or ``set``s where order does not
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matter;
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- ``set(dict)``: for ``list``s, ``tuple``s or ``sets`` where order does
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not matter and which contain ``dict``s; ``allow_more_present`` is used
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for the ``dict``s, and these are assumed to be dictionaries of values;
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- ``dict``: for dictionaries of values.
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"""
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if method == "ignore":
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return True
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# If a or b is None:
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if a is None or b is None:
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# If both are None: equality
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if a == b:
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return True
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# Otherwise, not equal for values, and equal
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# if the other is empty for set/list/dict
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if datatype == "value":
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return False
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# For allow_more_present, allow a to be None
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if method == "allow_more_present" and a is None:
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return True
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# Otherwise, the iterable object which is not None must have length 0
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return len(b if a is None else a) == 0
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# Do proper comparison (both objects not None)
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if datatype == "value":
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return a == b
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elif datatype == "list":
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if method == "strict":
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return a == b
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else:
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i = 0
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for v in a:
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while i < len(b) and b[i] != v:
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i += 1
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if i == len(b):
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return False
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i += 1
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return True
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elif datatype == "dict":
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if method == "strict":
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return a == b
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else:
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return compare_dict_allow_more_present(a, b)
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elif datatype == "set":
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set_a = set(a)
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set_b = set(b)
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if method == "strict":
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return set_a == set_b
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else:
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return set_b >= set_a
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elif datatype == "set(dict)":
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for av in a:
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found = False
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for bv in b:
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if compare_dict_allow_more_present(av, bv):
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found = True
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break
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if not found:
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return False
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if method == "strict":
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# If we would know that both a and b do not contain duplicates,
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# we could simply compare len(a) to len(b) to finish this test.
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# We can assume that b has no duplicates (as it is returned by
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# docker), but we do not know for a.
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for bv in b:
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found = False
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for av in a:
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if compare_dict_allow_more_present(av, bv):
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found = True
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break
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if not found:
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return False
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return True
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class DifferenceTracker(object):
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def __init__(self):
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self._diff = []
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def add(self, name, parameter=None, active=None):
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self._diff.append(
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dict(
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name=name,
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parameter=parameter,
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active=active,
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)
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)
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def merge(self, other_tracker):
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self._diff.extend(other_tracker._diff)
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@property
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def empty(self):
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return len(self._diff) == 0
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def get_before_after(self):
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"""
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Return texts ``before`` and ``after``.
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"""
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before = dict()
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after = dict()
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for item in self._diff:
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before[item["name"]] = item["active"]
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after[item["name"]] = item["parameter"]
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return before, after
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def has_difference_for(self, name):
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"""
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Returns a boolean if a difference exists for name
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"""
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return any(diff for diff in self._diff if diff["name"] == name)
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def get_legacy_docker_container_diffs(self):
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"""
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Return differences in the docker_container legacy format.
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"""
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result = []
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for entry in self._diff:
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item = dict()
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item[entry["name"]] = dict(
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parameter=entry["parameter"],
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container=entry["active"],
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)
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result.append(item)
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return result
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def get_legacy_docker_diffs(self):
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"""
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Return differences in the docker_container legacy format.
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"""
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result = [entry["name"] for entry in self._diff]
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return result
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def sanitize_labels(labels, labels_field, client=None, module=None):
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def fail(msg):
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if client is not None:
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client.fail(msg)
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if module is not None:
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module.fail_json(msg=msg)
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raise ValueError(msg)
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if labels is None:
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return
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for k, v in list(labels.items()):
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if not isinstance(k, str):
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fail(f"The key {k!r} of {labels_field} is not a string!")
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if isinstance(v, (bool, float)):
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fail(
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f"The value {v!r} for {k!r} of {labels_field} is not a string or something than can be safely converted to a string!"
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)
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labels[k] = to_text(v)
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def clean_dict_booleans_for_docker_api(data, allow_sequences=False):
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"""
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Go does not like Python booleans 'True' or 'False', while Ansible is just
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fine with them in YAML. As such, they need to be converted in cases where
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we pass dictionaries to the Docker API (e.g. docker_network's
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driver_options and docker_prune's filters). When `allow_sequences=True`
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YAML sequences (lists, tuples) are converted to [str] instead of str([...])
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which is the expected format of filters which accept lists such as labels.
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"""
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def sanitize(value):
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if value is True:
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return "true"
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elif value is False:
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return "false"
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else:
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return str(value)
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result = dict()
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if data is not None:
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for k, v in data.items():
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result[str(k)] = (
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[sanitize(e) for e in v]
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if allow_sequences and is_sequence(v)
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else sanitize(v)
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)
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return result
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def convert_duration_to_nanosecond(time_str):
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"""
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Return time duration in nanosecond.
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"""
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if not isinstance(time_str, str):
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raise ValueError(f"Missing unit in duration - {time_str}")
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regex = re.compile(
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r"^(((?P<hours>\d+)h)?"
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r"((?P<minutes>\d+)m(?!s))?"
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r"((?P<seconds>\d+)s)?"
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r"((?P<milliseconds>\d+)ms)?"
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r"((?P<microseconds>\d+)us)?)$"
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)
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parts = regex.match(time_str)
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if not parts:
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raise ValueError(f"Invalid time duration - {time_str}")
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parts = parts.groupdict()
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time_params = {}
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for name, value in parts.items():
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if value:
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time_params[name] = int(value)
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delta = timedelta(**time_params)
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time_in_nanoseconds = (
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delta.microseconds + (delta.seconds + delta.days * 24 * 3600) * 10**6
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) * 10**3
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return time_in_nanoseconds
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def normalize_healthcheck_test(test):
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if isinstance(test, (tuple, list)):
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return [str(e) for e in test]
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return ["CMD-SHELL", str(test)]
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def normalize_healthcheck(healthcheck, normalize_test=False):
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"""
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Return dictionary of healthcheck parameters.
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"""
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result = dict()
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# All supported healthcheck parameters
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options = (
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"test",
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"test_cli_compatible",
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"interval",
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"timeout",
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"start_period",
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"start_interval",
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"retries",
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)
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duration_options = ("interval", "timeout", "start_period", "start_interval")
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for key in options:
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if key in healthcheck:
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value = healthcheck[key]
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if value is None:
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# due to recursive argument_spec, all keys are always present
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# (but have default value None if not specified)
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continue
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if key in duration_options:
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value = convert_duration_to_nanosecond(value)
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if not value and not (
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healthcheck.get("test_cli_compatible") and key == "test"
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):
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continue
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if key == "retries":
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try:
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value = int(value)
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except ValueError:
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raise ValueError(
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f'Cannot parse number of retries for healthcheck. Expected an integer, got "{value}".'
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)
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if key == "test" and value and normalize_test:
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value = normalize_healthcheck_test(value)
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result[key] = value
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return result
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def parse_healthcheck(healthcheck):
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"""
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Return dictionary of healthcheck parameters and boolean if
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healthcheck defined in image was requested to be disabled.
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"""
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if (not healthcheck) or (not healthcheck.get("test")):
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return None, None
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result = normalize_healthcheck(healthcheck, normalize_test=True)
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if result["test"] == ["NONE"]:
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# If the user explicitly disables the healthcheck, return None
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# as the healthcheck object, and set disable_healthcheck to True
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return None, True
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return result, False
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def omit_none_from_dict(d):
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"""
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Return a copy of the dictionary with all keys with value None omitted.
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"""
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return dict((k, v) for (k, v) in d.items() if v is not None)
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