1# Licensed to the Apache Software Foundation (ASF) under one
2# or more contributor license agreements. See the NOTICE file
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5# to you under the Apache License, Version 2.0 (the
6# "License"); you may not use this file except in compliance
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8#
9# http://www.apache.org/licenses/LICENSE-2.0
10#
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15# specific language governing permissions and limitations
16# under the License.
17from __future__ import annotations
18
19from abc import ABC
20
21
22class BaseSecretsBackend(ABC):
23 """Abstract base class to retrieve Connection object given a conn_id or Variable given a key."""
24
25 @staticmethod
26 def build_path(path_prefix: str, secret_id: str, sep: str = "/") -> str:
27 """
28 Given conn_id, build path for Secrets Backend.
29
30 :param path_prefix: Prefix of the path to get secret
31 :param secret_id: Secret id
32 :param sep: separator used to concatenate connections_prefix and conn_id. Default: "/"
33 """
34 return f"{path_prefix}{sep}{secret_id}"
35
36 def get_conn_value(self, conn_id: str) -> str | None:
37 """
38 Retrieve from Secrets Backend a string value representing the Connection object.
39
40 If the client your secrets backend uses already returns a python dict, you should override
41 ``get_connection`` instead.
42
43 :param conn_id: connection id
44 """
45 raise NotImplementedError
46
47 def get_variable(self, key: str, team_name: str | None = None) -> str | None:
48 """
49 Return value for Airflow Variable.
50
51 :param key: Variable Key
52 :param team_name: Team name associated to the task trying to access the variable (if any)
53 :return: Variable Value
54 """
55 raise NotImplementedError()
56
57 def get_config(self, key: str) -> str | None:
58 """
59 Return value for Airflow Config Key.
60
61 :param key: Config Key
62 :return: Config Value
63 """
64 return None
65
66 @staticmethod
67 def _get_connection_class():
68 """
69 Detect which Connection class to use based on execution context.
70
71 Returns SDK Connection in worker context, core Connection in server context.
72 """
73 import os
74
75 process_context = os.environ.get("_AIRFLOW_PROCESS_CONTEXT", "").lower()
76 if process_context == "client":
77 # Client context (worker, dag processor, triggerer)
78 from airflow.sdk.definitions.connection import Connection
79
80 return Connection
81
82 # Server context (scheduler, API server, etc.)
83 from airflow.models.connection import Connection
84
85 return Connection
86
87 def deserialize_connection(self, conn_id: str, value: str):
88 """
89 Given a serialized representation of the airflow Connection, return an instance.
90
91 Auto-detects which Connection class to use based on execution context.
92 Uses Connection.from_json() for JSON format, Connection(uri=...) for URI format.
93
94 :param conn_id: connection id
95 :param value: the serialized representation of the Connection object
96 :return: the deserialized Connection
97 """
98 conn_class = self._get_connection_class()
99
100 value = value.strip()
101 if value[0] == "{":
102 return conn_class.from_json(value=value, conn_id=conn_id)
103
104 # TODO: Only sdk has from_uri defined on it. Is it worthwhile developing the core path or not?
105 if hasattr(conn_class, "from_uri"):
106 return conn_class.from_uri(conn_id=conn_id, uri=value)
107 return conn_class(conn_id=conn_id, uri=value)
108
109 def get_connection(self, conn_id: str):
110 """
111 Return connection object with a given ``conn_id``.
112
113 :param conn_id: connection id
114 :return: Connection object or None
115 """
116 value = self.get_conn_value(conn_id=conn_id)
117 if value:
118 return self.deserialize_connection(conn_id=conn_id, value=value)
119 return None