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"""Environment and file-based configuration for Temporal clients.
This module provides utilities to load Temporal client configuration from TOML files
and environment variables.
"""
from __future__ import annotations
import os
from abc import ABC, abstractmethod
from collections.abc import Mapping, Sequence
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Literal, TypeAlias, cast
from typing_extensions import Self, TypedDict
import temporalio.client
import temporalio.service
from temporalio.bridge.temporal_sdk_bridge import envconfig as _bridge_envconfig
DataSource: TypeAlias = (
Path | str | bytes
) # str represents a file contents, bytes represents raw data
# We define typed dictionaries for what these configs look like as TOML.
class ClientConfigTLSDict(TypedDict, total=False):
"""Dictionary representation of TLS config for TOML."""
disabled: bool | None
server_name: str
server_ca_cert: Mapping[str, str]
client_cert: Mapping[str, str]
client_key: Mapping[str, str]
class ClientConfigProfileDict(TypedDict, total=False):
"""Dictionary representation of a client config profile for TOML."""
address: str
namespace: str
api_key: str
tls: ClientConfigTLSDict
grpc_meta: Mapping[str, str]
ext: Mapping[str, Mapping[str, Any]]
def _from_dict_to_source(d: Mapping[str, Any] | None) -> DataSource | None:
if not d:
return None
if "data" in d:
return d["data"]
if "path" in d:
return Path(d["path"])
return None
def _source_to_dict(
source: DataSource | None,
) -> Mapping[str, str] | None:
if isinstance(source, Path):
return {"path": str(source)}
if isinstance(source, str):
return {"data": source}
if isinstance(source, bytes):
return {"data": source.decode("utf-8")}
return None
def _source_to_path_and_data(
source: DataSource | None,
) -> tuple[str | None, bytes | None]:
path: str | None = None
data: bytes | None = None
if isinstance(source, Path):
path = str(source)
elif isinstance(source, str):
data = source.encode("utf-8")
elif isinstance(source, bytes):
data = source
elif source is not None:
raise TypeError( # type: ignore[reportUnreachable]
"config_source must be one of pathlib.Path, str, bytes, or None, "
f"but got {type(source).__name__}"
)
return path, data
def _read_source(source: DataSource | None) -> bytes | None:
if source is None:
return None
if isinstance(source, Path):
with open(source, "rb") as f:
return f.read()
if isinstance(source, str):
return source.encode("utf-8")
if isinstance(source, bytes):
return source
raise TypeError( # type: ignore[reportUnreachable]
f"Source must be one of pathlib.Path, str, or bytes, but got {type(source).__name__}"
)
@dataclass(frozen=True)
class ClientConfigTLS:
"""TLS configuration as specified as part of client configuration"""
disabled: bool | None = None
"""If True, TLS is explicitly disabled. If False, TLS is explicitly enabled. If None, TLS behavior was not configured."""
server_name: str | None = None
"""SNI override."""
server_root_ca_cert: DataSource | None = None
"""Server CA certificate source."""
client_cert: DataSource | None = None
"""Client certificate source."""
client_private_key: DataSource | None = None
"""Client key source."""
def to_dict(self) -> ClientConfigTLSDict:
"""Convert to a dictionary that can be used for TOML serialization."""
d: ClientConfigTLSDict = {}
if self.disabled is not None:
d["disabled"] = self.disabled
if self.server_name is not None:
d["server_name"] = self.server_name
def set_source(
key: Literal["server_ca_cert", "client_cert", "client_key"],
source: DataSource | None,
):
if source is not None and (val := _source_to_dict(source)):
d[key] = val
set_source("server_ca_cert", self.server_root_ca_cert)
set_source("client_cert", self.client_cert)
set_source("client_key", self.client_private_key)
return d
def to_connect_tls_config(self) -> bool | temporalio.service.TLSConfig:
"""Create a `temporalio.service.TLSConfig` from this profile."""
if self.disabled is True:
return False
return temporalio.service.TLSConfig(
domain=self.server_name,
server_root_ca_cert=_read_source(self.server_root_ca_cert),
client_cert=_read_source(self.client_cert),
client_private_key=_read_source(self.client_private_key),
)
@classmethod
def from_dict(cls, d: ClientConfigTLSDict | None) -> Self | None:
"""Create a ClientConfigTLS from a dictionary.
``None`` means there is no TLS table. An empty dictionary is a TLS table
with nothing set, so it gives a default ``ClientConfigTLS``.
"""
if d is None:
return None
return cls(
disabled=d.get("disabled"),
server_name=d.get("server_name"),
# Note: Bridge uses snake_case, but TOML uses kebab-case which is
# converted to snake_case. Core has server_ca_cert, client_key.
server_root_ca_cert=_from_dict_to_source(d.get("server_ca_cert")),
client_cert=_from_dict_to_source(d.get("client_cert")),
client_private_key=_from_dict_to_source(d.get("client_key")),
)
class ClientConnectConfig(TypedDict, total=False):
"""Arguments for `temporalio.client.Client.connect` that are configurable via
environment configuration.
"""
target_host: str
namespace: str
api_key: str
tls: bool | temporalio.service.TLSConfig
rpc_metadata: Mapping[str, str]
plugins: Sequence[temporalio.client.Plugin]
@dataclass(frozen=True)
class ClientConfigProfile:
"""Represents a client configuration profile.
This class holds the configuration as loaded from a file or environment.
See `to_client_connect_config` to transform the profile to `ClientConnectConfig`,
which can be used to create a client.
"""
address: str | None = None
"""Client address."""
namespace: str | None = None
"""Client namespace."""
api_key: str | None = None
"""Client API key."""
tls: ClientConfigTLS | None = None
"""TLS configuration."""
grpc_meta: Mapping[str, str] = field(default_factory=dict)
"""gRPC metadata."""
ext: Mapping[str, Mapping[str, Any]] = field(default_factory=dict)
"""Raw extension config from ``profile.<profile>.ext``, keyed by extension
name. Each extension decodes its own table, which should be treated as
read-only. Values are converted as by :py:mod:`tomllib`, so TOML datetimes
are :py:class:`datetime.datetime`, :py:class:`datetime.date`, or
:py:class:`datetime.time` objects. Not modified by environment variables.
.. warning::
This API is experimental and unstable.
"""
@classmethod
def from_dict(cls, d: ClientConfigProfileDict) -> Self:
"""Create a ClientConfigProfile from a dictionary."""
return cls(
address=d.get("address"),
namespace=d.get("namespace"),
api_key=d.get("api_key"),
tls=ClientConfigTLS.from_dict(d.get("tls")),
grpc_meta=d.get("grpc_meta") or {},
ext=d.get("ext") or {},
)
def to_dict(self) -> ClientConfigProfileDict:
"""Convert to a dictionary that can be used for TOML serialization."""
d: ClientConfigProfileDict = {}
if self.address is not None:
d["address"] = self.address
if self.namespace is not None:
d["namespace"] = self.namespace
if self.api_key is not None:
d["api_key"] = self.api_key
if self.tls is not None:
d["tls"] = self.tls.to_dict()
if self.grpc_meta:
d["grpc_meta"] = self.grpc_meta
if self.ext:
d["ext"] = self.ext
return d
def to_client_connect_config(self) -> ClientConnectConfig:
"""Create a `ClientConnectConfig` from this profile."""
# Only include non-None values
config: dict[str, Any] = {}
if self.address:
config["target_host"] = self.address
if self.namespace is not None:
config["namespace"] = self.namespace
if self.api_key is not None:
config["api_key"] = self.api_key
# Enable TLS with default TLS options
config["tls"] = True
if self.tls is not None:
# Use specified TLS options
config["tls"] = self.tls.to_connect_tls_config()
if self.grpc_meta:
config["rpc_metadata"] = self.grpc_meta
# Cast to ClientConnectConfig - this is safe because we've only included non-None values
return cast(ClientConnectConfig, config) # type: ignore[reportInvalidCast]
@staticmethod
def load(
profile: str | None = None,
*,
config_source: DataSource | None = None,
disable_file: bool = False,
disable_env: bool = False,
config_file_strict: bool = False,
override_env_vars: Mapping[str, str] | None = None,
) -> ClientConfigProfile:
"""Load a single client profile from given sources, applying env
overrides.
To get a :py:class:`ClientConnectConfig`, use the
:py:meth:`to_client_connect_config` method on the returned profile.
Args:
profile: Profile to load from the config.
config_source: If present, this is used as the configuration source
instead of default file locations. This can be a path to the file
or the string/byte contents of the file.
disable_file: If true, file loading is disabled. This is only used
when ``config_source`` is not present.
disable_env: If true, environment variable loading and overriding
is disabled. This takes precedence over the ``override_env_vars``
parameter.
config_file_strict: If true, will error on unrecognized keys.
override_env_vars: The environment to use for loading and overrides.
If not provided, the current process's environment is used. To
use a specific set of environment variables, provide them here.
To disable environment variable loading, set ``disable_env`` to
true.
Returns:
The client configuration profile.
"""
path, data = _source_to_path_and_data(config_source)
raw_profile = _bridge_envconfig.load_client_connect_config(
profile=profile,
path=path,
data=data,
disable_file=disable_file,
disable_env=disable_env,
config_file_strict=config_file_strict,
env_vars=override_env_vars,
)
return ClientConfigProfile.from_dict(raw_profile)
@dataclass(frozen=True)
class ClientConfigExtensionRequest:
"""Input to :py:meth:`ClientConfigExtension.client_plugin`.
.. warning::
This API is experimental and unstable.
"""
profile: ClientConfigProfile
"""The loaded profile, with environment variable overrides applied."""
env: Mapping[str, str] | None
"""Env to read extension env vars from, or None if env loading is disabled."""
class ClientConfigExtension(ABC):
"""Extension that adds config to client environment configuration.
An extension owns the TOML table under ``profile.<profile>.ext.<name>``,
where ``<name>`` is :py:meth:`name`, and turns its config into a client
plugin. Extensions are recommended to use a ``TEMPORAL_EXT_<NAME>_`` prefix
for any environment variables they read. Pass extensions to
:py:meth:`ClientConfig.load_client_connect_config`.
.. warning::
This API is experimental and unstable.
"""
@abstractmethod
def name(self) -> str:
"""The extension's table key under ``profile.<profile>.ext``. Must be
unique among loaded extensions.
"""
@abstractmethod
def client_plugin(
self, req: ClientConfigExtensionRequest
) -> temporalio.client.Plugin | None:
"""Read this extension's config from the profile and env, and return a
plugin that applies it, or None if there's nothing to apply.
"""
def _validate_extensions(extensions: Sequence[ClientConfigExtension]) -> None:
names: set[str] = set()
for i, extension in enumerate(extensions):
if extension is None: # type: ignore[reportUnnecessaryComparison]
raise ValueError(f"client config extension at index {i} is None")
name = extension.name()
if not name:
raise ValueError(f"client config extension at index {i} has empty name")
if name in names:
raise ValueError(f'duplicate client config extension name "{name}"')
names.add(name)
@dataclass
class ClientConfig:
"""Client configuration loaded from TOML and environment variables.
This contains a mapping of profile names to client profiles. Use
`ClientConfigProfile.to_client_connect_config` to create a `ClientConnectConfig`
from a profile. See `ClientConfigProfile.load` to load an individual profile.
"""
profiles: Mapping[str, ClientConfigProfile]
"""Map of profile name to its corresponding ClientConfigProfile."""
def to_dict(self) -> Mapping[str, ClientConfigProfileDict]:
"""Convert to a dictionary that can be used for TOML serialization."""
return {k: v.to_dict() for k, v in self.profiles.items()}
@classmethod
def from_dict(
cls,
d: Mapping[str, Mapping[str, Any]],
) -> Self:
"""Create a ClientConfig from a dictionary."""
# We must cast the inner dictionary because the source is often a plain
# Mapping[str, Any] from the bridge or other sources.
return cls(
profiles={
k: ClientConfigProfile.from_dict(cast(ClientConfigProfileDict, v))
for k, v in d.items()
}
)
@staticmethod
def load(
*,
config_source: DataSource | None = None,
config_file_strict: bool = False,
override_env_vars: Mapping[str, str] | None = None,
) -> ClientConfig:
"""Load all client profiles from given sources.
This does not apply environment variable overrides to the profiles, it
only uses an environment variable to find the default config file path
(``TEMPORAL_CONFIG_FILE``). To get a single profile with environment variables
applied, use :py:meth:`ClientConfigProfile.load`.
Args:
config_source: If present, this is used as the configuration source
instead of default file locations. This can be a path to the file
or the string/byte contents of the file.
config_file_strict: If true, will TOML file parsing will error on
unrecognized keys.
override_env_vars: The environment variables to use for locating the
default config file. If not provided, the current process's
environment is used to check for ``TEMPORAL_CONFIG_FILE``. To
use a specific set of environment variables, provide them here.
To disable environment variable loading, set ``disable_file`` to
true or pass an empty dictionary for this parameter.
"""
path, data = _source_to_path_and_data(config_source)
loaded_profiles = _bridge_envconfig.load_client_config(
path=path,
data=data,
config_file_strict=config_file_strict,
env_vars=override_env_vars,
)
return ClientConfig.from_dict(loaded_profiles)
@staticmethod
def load_client_connect_config(
profile: str | None = None,
*,
config_file: str | None = None,
disable_file: bool = False,
disable_env: bool = False,
config_file_strict: bool = False,
override_env_vars: Mapping[str, str] | None = None,
extensions: Sequence[ClientConfigExtension] = [],
) -> ClientConnectConfig:
"""Load a single client profile and convert to connect config.
This is a convenience function that combines loading a profile and
converting it to a connect config dictionary, plus any extensions. This
will use the current process's environment for overrides unless
disabled.
Args:
profile: The profile to load from the config. Defaults to "default".
config_file: Path to a specific TOML config file. If not provided,
default file locations are used. This is ignored if
``disable_file`` is true.
disable_file: If true, file loading is disabled.
disable_env: If true, environment variable loading and overriding
is disabled.
config_file_strict: If true, will error on unrecognized keys in the
TOML file.
override_env_vars: A dictionary of environment variables to use for
loading and overrides. If not provided, the current process's
environment is used. To use a specific set of environment
variables, provide them here. To disable environment variable
loading, set ``disable_env`` to true.
extensions: Extensions to apply, in order. Each extension is given
the loaded profile and env, and any plugin it returns is
appended to the ``plugins`` of the returned config. Extension
names must be unique. To also pass other plugins to
:py:meth:`temporalio.client.Client.connect`, combine them with
these rather than passing ``plugins`` separately.
.. warning::
This parameter is experimental and unstable.
Returns:
TypedDict of keyword arguments for
:py:meth:`temporalio.client.Client.connect`.
"""
_validate_extensions(extensions)
config_source: DataSource | None = None
if config_file and not disable_file:
config_source = Path(config_file)
prof = ClientConfigProfile.load(
profile=profile,
config_source=config_source,
disable_file=disable_file,
disable_env=disable_env,
config_file_strict=config_file_strict,
override_env_vars=override_env_vars,
)
config = prof.to_client_connect_config()
if extensions:
req = ClientConfigExtensionRequest(
profile=prof,
env=None
if disable_env
else (os.environ if override_env_vars is None else override_env_vars),
)
plugins: list[temporalio.client.Plugin] = []
for extension in extensions:
try:
plugin = extension.client_plugin(req)
except Exception as err:
raise RuntimeError(
f'client config extension "{extension.name()}": {err}'
) from err
if plugin is not None:
plugins.append(plugin)
if plugins:
config["plugins"] = plugins
return config
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