diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/__init__.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/__init__.py deleted file mode 100644 index d55ccad1f573..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/__init__.py +++ /dev/null @@ -1 +0,0 @@ -__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/__init__.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/__init__.py deleted file mode 100644 index d55ccad1f573..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/__init__.py +++ /dev/null @@ -1 +0,0 @@ -__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/__init__.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/__init__.py deleted file mode 100644 index 6b6d1d35581a..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/__init__.py +++ /dev/null @@ -1,22 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from ._patch import RadiologyInsightsClient -from ._version import VERSION - -__version__ = VERSION - - -from ._patch import patch_sdk as _patch_sdk - -__all__ = [ - "RadiologyInsightsClient", -] - - -_patch_sdk() diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_client.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_client.py deleted file mode 100644 index 744299e0905c..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_client.py +++ /dev/null @@ -1,106 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from copy import deepcopy -from typing import Any, TYPE_CHECKING, Union -from typing_extensions import Self - -from azure.core import PipelineClient -from azure.core.credentials import AzureKeyCredential -from azure.core.pipeline import policies -from azure.core.rest import HttpRequest, HttpResponse - -from ._configuration import RadiologyInsightsClientConfiguration -from ._operations import RadiologyInsightsClientOperationsMixin -from ._serialization import Deserializer, Serializer - -if TYPE_CHECKING: - # pylint: disable=unused-import,ungrouped-imports - from azure.core.credentials import TokenCredential - - -class RadiologyInsightsClient( - RadiologyInsightsClientOperationsMixin -): # pylint: disable=client-accepts-api-version-keyword - """RadiologyInsightsClient. - - :param endpoint: Supported Cognitive Services endpoints (protocol and hostname, for example: - https://westus2.api.cognitive.microsoft.com). Required. - :type endpoint: str - :param credential: Credential used to authenticate requests to the service. Is either a - AzureKeyCredential type or a TokenCredential type. Required. - :type credential: ~azure.core.credentials.AzureKeyCredential or - ~azure.core.credentials.TokenCredential - :keyword api_version: The API version to use for this operation. Default value is "2024-04-01". - Note that overriding this default value may result in unsupported behavior. - :paramtype api_version: str - :keyword int polling_interval: Default waiting time between two polls for LRO operations if no - Retry-After header is present. - """ - - def __init__(self, endpoint: str, credential: Union[AzureKeyCredential, "TokenCredential"], **kwargs: Any) -> None: - _endpoint = "{endpoint}/health-insights" - self._config = RadiologyInsightsClientConfiguration(endpoint=endpoint, credential=credential, **kwargs) - _policies = kwargs.pop("policies", None) - if _policies is None: - _policies = [ - policies.RequestIdPolicy(**kwargs), - self._config.headers_policy, - self._config.user_agent_policy, - self._config.proxy_policy, - policies.ContentDecodePolicy(**kwargs), - self._config.redirect_policy, - self._config.retry_policy, - self._config.authentication_policy, - self._config.custom_hook_policy, - self._config.logging_policy, - policies.DistributedTracingPolicy(**kwargs), - policies.SensitiveHeaderCleanupPolicy(**kwargs) if self._config.redirect_policy else None, - self._config.http_logging_policy, - ] - self._client: PipelineClient = PipelineClient(base_url=_endpoint, policies=_policies, **kwargs) - - self._serialize = Serializer() - self._deserialize = Deserializer() - self._serialize.client_side_validation = False - - def send_request(self, request: HttpRequest, *, stream: bool = False, **kwargs: Any) -> HttpResponse: - """Runs the network request through the client's chained policies. - - >>> from azure.core.rest import HttpRequest - >>> request = HttpRequest("GET", "https://www.example.org/") - - >>> response = client.send_request(request) - - - For more information on this code flow, see https://aka.ms/azsdk/dpcodegen/python/send_request - - :param request: The network request you want to make. Required. - :type request: ~azure.core.rest.HttpRequest - :keyword bool stream: Whether the response payload will be streamed. Defaults to False. - :return: The response of your network call. Does not do error handling on your response. - :rtype: ~azure.core.rest.HttpResponse - """ - - request_copy = deepcopy(request) - path_format_arguments = { - "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), - } - - request_copy.url = self._client.format_url(request_copy.url, **path_format_arguments) - return self._client.send_request(request_copy, stream=stream, **kwargs) # type: ignore - - def close(self) -> None: - self._client.close() - - def __enter__(self) -> Self: - self._client.__enter__() - return self - - def __exit__(self, *exc_details: Any) -> None: - self._client.__exit__(*exc_details) diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_configuration.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_configuration.py deleted file mode 100644 index 209906a0759e..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_configuration.py +++ /dev/null @@ -1,73 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from typing import Any, TYPE_CHECKING, Union - -from azure.core.credentials import AzureKeyCredential -from azure.core.pipeline import policies - -from ._version import VERSION - -if TYPE_CHECKING: - # pylint: disable=unused-import,ungrouped-imports - from azure.core.credentials import TokenCredential - - -class RadiologyInsightsClientConfiguration: # pylint: disable=too-many-instance-attributes,name-too-long - """Configuration for RadiologyInsightsClient. - - Note that all parameters used to create this instance are saved as instance - attributes. - - :param endpoint: Supported Cognitive Services endpoints (protocol and hostname, for example: - https://westus2.api.cognitive.microsoft.com). Required. - :type endpoint: str - :param credential: Credential used to authenticate requests to the service. Is either a - AzureKeyCredential type or a TokenCredential type. Required. - :type credential: ~azure.core.credentials.AzureKeyCredential or - ~azure.core.credentials.TokenCredential - :keyword api_version: The API version to use for this operation. Default value is "2024-04-01". - Note that overriding this default value may result in unsupported behavior. - :paramtype api_version: str - """ - - def __init__(self, endpoint: str, credential: Union[AzureKeyCredential, "TokenCredential"], **kwargs: Any) -> None: - api_version: str = kwargs.pop("api_version", "2024-04-01") - - if endpoint is None: - raise ValueError("Parameter 'endpoint' must not be None.") - if credential is None: - raise ValueError("Parameter 'credential' must not be None.") - - self.endpoint = endpoint - self.credential = credential - self.api_version = api_version - self.credential_scopes = kwargs.pop("credential_scopes", ["https://cognitiveservices.azure.com/.default"]) - kwargs.setdefault("sdk_moniker", "healthinsights-radiologyinsights/{}".format(VERSION)) - self.polling_interval = kwargs.get("polling_interval", 30) - self._configure(**kwargs) - - def _infer_policy(self, **kwargs): - if isinstance(self.credential, AzureKeyCredential): - return policies.AzureKeyCredentialPolicy(self.credential, "Ocp-Apim-Subscription-Key", **kwargs) - if hasattr(self.credential, "get_token"): - return policies.BearerTokenCredentialPolicy(self.credential, *self.credential_scopes, **kwargs) - raise TypeError(f"Unsupported credential: {self.credential}") - - def _configure(self, **kwargs: Any) -> None: - self.user_agent_policy = kwargs.get("user_agent_policy") or policies.UserAgentPolicy(**kwargs) - self.headers_policy = kwargs.get("headers_policy") or policies.HeadersPolicy(**kwargs) - self.proxy_policy = kwargs.get("proxy_policy") or policies.ProxyPolicy(**kwargs) - self.logging_policy = kwargs.get("logging_policy") or policies.NetworkTraceLoggingPolicy(**kwargs) - self.http_logging_policy = kwargs.get("http_logging_policy") or policies.HttpLoggingPolicy(**kwargs) - self.custom_hook_policy = kwargs.get("custom_hook_policy") or policies.CustomHookPolicy(**kwargs) - self.redirect_policy = kwargs.get("redirect_policy") or policies.RedirectPolicy(**kwargs) - self.retry_policy = kwargs.get("retry_policy") or policies.RetryPolicy(**kwargs) - self.authentication_policy = kwargs.get("authentication_policy") - if self.credential and not self.authentication_policy: - self.authentication_policy = self._infer_policy(**kwargs) diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_model_base.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_model_base.py deleted file mode 100644 index 12ad7f29c71e..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_model_base.py +++ /dev/null @@ -1,1158 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for -# license information. -# -------------------------------------------------------------------------- -# pylint: disable=protected-access, arguments-differ, signature-differs, broad-except, too-many-lines - -import copy -import calendar -import decimal -import functools -import sys -import logging -import base64 -import re -import typing -import enum -import email.utils -from datetime import datetime, date, time, timedelta, timezone -from json import JSONEncoder -import xml.etree.ElementTree as ET -from typing_extensions import Self -import isodate -from azure.core.exceptions import DeserializationError -from azure.core import CaseInsensitiveEnumMeta -from azure.core.pipeline import PipelineResponse -from azure.core.serialization import _Null - -if sys.version_info >= (3, 9): - from collections.abc import MutableMapping -else: - from typing import MutableMapping - -_LOGGER = logging.getLogger(__name__) - -__all__ = ["SdkJSONEncoder", "Model", "rest_field", "rest_discriminator"] - -TZ_UTC = timezone.utc -_T = typing.TypeVar("_T") - - -def _timedelta_as_isostr(td: timedelta) -> str: - """Converts a datetime.timedelta object into an ISO 8601 formatted string, e.g. 'P4DT12H30M05S' - - Function adapted from the Tin Can Python project: https://github.com/RusticiSoftware/TinCanPython - - :param timedelta td: The timedelta to convert - :rtype: str - :return: ISO8601 version of this timedelta - """ - - # Split seconds to larger units - seconds = td.total_seconds() - minutes, seconds = divmod(seconds, 60) - hours, minutes = divmod(minutes, 60) - days, hours = divmod(hours, 24) - - days, hours, minutes = list(map(int, (days, hours, minutes))) - seconds = round(seconds, 6) - - # Build date - date_str = "" - if days: - date_str = "%sD" % days - - if hours or minutes or seconds: - # Build time - time_str = "T" - - # Hours - bigger_exists = date_str or hours - if bigger_exists: - time_str += "{:02}H".format(hours) - - # Minutes - bigger_exists = bigger_exists or minutes - if bigger_exists: - time_str += "{:02}M".format(minutes) - - # Seconds - try: - if seconds.is_integer(): - seconds_string = "{:02}".format(int(seconds)) - else: - # 9 chars long w/ leading 0, 6 digits after decimal - seconds_string = "%09.6f" % seconds - # Remove trailing zeros - seconds_string = seconds_string.rstrip("0") - except AttributeError: # int.is_integer() raises - seconds_string = "{:02}".format(seconds) - - time_str += "{}S".format(seconds_string) - else: - time_str = "" - - return "P" + date_str + time_str - - -def _serialize_bytes(o, format: typing.Optional[str] = None) -> str: - encoded = base64.b64encode(o).decode() - if format == "base64url": - return encoded.strip("=").replace("+", "-").replace("/", "_") - return encoded - - -def _serialize_datetime(o, format: typing.Optional[str] = None): - if hasattr(o, "year") and hasattr(o, "hour"): - if format == "rfc7231": - return email.utils.format_datetime(o, usegmt=True) - if format == "unix-timestamp": - return int(calendar.timegm(o.utctimetuple())) - - # astimezone() fails for naive times in Python 2.7, so make make sure o is aware (tzinfo is set) - if not o.tzinfo: - iso_formatted = o.replace(tzinfo=TZ_UTC).isoformat() - else: - iso_formatted = o.astimezone(TZ_UTC).isoformat() - # Replace the trailing "+00:00" UTC offset with "Z" (RFC 3339: https://www.ietf.org/rfc/rfc3339.txt) - return iso_formatted.replace("+00:00", "Z") - # Next try datetime.date or datetime.time - return o.isoformat() - - -def _is_readonly(p): - try: - return p._visibility == ["read"] - except AttributeError: - return False - - -class SdkJSONEncoder(JSONEncoder): - """A JSON encoder that's capable of serializing datetime objects and bytes.""" - - def __init__(self, *args, exclude_readonly: bool = False, format: typing.Optional[str] = None, **kwargs): - super().__init__(*args, **kwargs) - self.exclude_readonly = exclude_readonly - self.format = format - - def default(self, o): # pylint: disable=too-many-return-statements - if _is_model(o): - if self.exclude_readonly: - readonly_props = [p._rest_name for p in o._attr_to_rest_field.values() if _is_readonly(p)] - return {k: v for k, v in o.items() if k not in readonly_props} - return dict(o.items()) - try: - return super(SdkJSONEncoder, self).default(o) - except TypeError: - if isinstance(o, _Null): - return None - if isinstance(o, decimal.Decimal): - return float(o) - if isinstance(o, (bytes, bytearray)): - return _serialize_bytes(o, self.format) - try: - # First try datetime.datetime - return _serialize_datetime(o, self.format) - except AttributeError: - pass - # Last, try datetime.timedelta - try: - return _timedelta_as_isostr(o) - except AttributeError: - # This will be raised when it hits value.total_seconds in the method above - pass - return super(SdkJSONEncoder, self).default(o) - - -_VALID_DATE = re.compile(r"\d{4}[-]\d{2}[-]\d{2}T\d{2}:\d{2}:\d{2}" + r"\.?\d*Z?[-+]?[\d{2}]?:?[\d{2}]?") -_VALID_RFC7231 = re.compile( - r"(Mon|Tue|Wed|Thu|Fri|Sat|Sun),\s\d{2}\s" - r"(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)\s\d{4}\s\d{2}:\d{2}:\d{2}\sGMT" -) - - -def _deserialize_datetime(attr: typing.Union[str, datetime]) -> datetime: - """Deserialize ISO-8601 formatted string into Datetime object. - - :param str attr: response string to be deserialized. - :rtype: ~datetime.datetime - :returns: The datetime object from that input - """ - if isinstance(attr, datetime): - # i'm already deserialized - return attr - attr = attr.upper() - match = _VALID_DATE.match(attr) - if not match: - raise ValueError("Invalid datetime string: " + attr) - - check_decimal = attr.split(".") - if len(check_decimal) > 1: - decimal_str = "" - for digit in check_decimal[1]: - if digit.isdigit(): - decimal_str += digit - else: - break - if len(decimal_str) > 6: - attr = attr.replace(decimal_str, decimal_str[0:6]) - - date_obj = isodate.parse_datetime(attr) - test_utc = date_obj.utctimetuple() - if test_utc.tm_year > 9999 or test_utc.tm_year < 1: - raise OverflowError("Hit max or min date") - return date_obj - - -def _deserialize_datetime_rfc7231(attr: typing.Union[str, datetime]) -> datetime: - """Deserialize RFC7231 formatted string into Datetime object. - - :param str attr: response string to be deserialized. - :rtype: ~datetime.datetime - :returns: The datetime object from that input - """ - if isinstance(attr, datetime): - # i'm already deserialized - return attr - match = _VALID_RFC7231.match(attr) - if not match: - raise ValueError("Invalid datetime string: " + attr) - - return email.utils.parsedate_to_datetime(attr) - - -def _deserialize_datetime_unix_timestamp(attr: typing.Union[float, datetime]) -> datetime: - """Deserialize unix timestamp into Datetime object. - - :param str attr: response string to be deserialized. - :rtype: ~datetime.datetime - :returns: The datetime object from that input - """ - if isinstance(attr, datetime): - # i'm already deserialized - return attr - return datetime.fromtimestamp(attr, TZ_UTC) - - -def _deserialize_date(attr: typing.Union[str, date]) -> date: - """Deserialize ISO-8601 formatted string into Date object. - :param str attr: response string to be deserialized. - :rtype: date - :returns: The date object from that input - """ - # This must NOT use defaultmonth/defaultday. Using None ensure this raises an exception. - if isinstance(attr, date): - return attr - return isodate.parse_date(attr, defaultmonth=None, defaultday=None) # type: ignore - - -def _deserialize_time(attr: typing.Union[str, time]) -> time: - """Deserialize ISO-8601 formatted string into time object. - - :param str attr: response string to be deserialized. - :rtype: datetime.time - :returns: The time object from that input - """ - if isinstance(attr, time): - return attr - return isodate.parse_time(attr) - - -def _deserialize_bytes(attr): - if isinstance(attr, (bytes, bytearray)): - return attr - return bytes(base64.b64decode(attr)) - - -def _deserialize_bytes_base64(attr): - if isinstance(attr, (bytes, bytearray)): - return attr - padding = "=" * (3 - (len(attr) + 3) % 4) # type: ignore - attr = attr + padding # type: ignore - encoded = attr.replace("-", "+").replace("_", "/") - return bytes(base64.b64decode(encoded)) - - -def _deserialize_duration(attr): - if isinstance(attr, timedelta): - return attr - return isodate.parse_duration(attr) - - -def _deserialize_decimal(attr): - if isinstance(attr, decimal.Decimal): - return attr - return decimal.Decimal(str(attr)) - - -def _deserialize_int_as_str(attr): - if isinstance(attr, int): - return attr - return int(attr) - - -_DESERIALIZE_MAPPING = { - datetime: _deserialize_datetime, - date: _deserialize_date, - time: _deserialize_time, - bytes: _deserialize_bytes, - bytearray: _deserialize_bytes, - timedelta: _deserialize_duration, - typing.Any: lambda x: x, - decimal.Decimal: _deserialize_decimal, -} - -_DESERIALIZE_MAPPING_WITHFORMAT = { - "rfc3339": _deserialize_datetime, - "rfc7231": _deserialize_datetime_rfc7231, - "unix-timestamp": _deserialize_datetime_unix_timestamp, - "base64": _deserialize_bytes, - "base64url": _deserialize_bytes_base64, -} - - -def get_deserializer(annotation: typing.Any, rf: typing.Optional["_RestField"] = None): - if annotation is int and rf and rf._format == "str": - return _deserialize_int_as_str - if rf and rf._format: - return _DESERIALIZE_MAPPING_WITHFORMAT.get(rf._format) - return _DESERIALIZE_MAPPING.get(annotation) # pyright: ignore - - -def _get_type_alias_type(module_name: str, alias_name: str): - types = { - k: v - for k, v in sys.modules[module_name].__dict__.items() - if isinstance(v, typing._GenericAlias) # type: ignore - } - if alias_name not in types: - return alias_name - return types[alias_name] - - -def _get_model(module_name: str, model_name: str): - models = {k: v for k, v in sys.modules[module_name].__dict__.items() if isinstance(v, type)} - module_end = module_name.rsplit(".", 1)[0] - models.update({k: v for k, v in sys.modules[module_end].__dict__.items() if isinstance(v, type)}) - if isinstance(model_name, str): - model_name = model_name.split(".")[-1] - if model_name not in models: - return model_name - return models[model_name] - - -_UNSET = object() - - -class _MyMutableMapping(MutableMapping[str, typing.Any]): # pylint: disable=unsubscriptable-object - def __init__(self, data: typing.Dict[str, typing.Any]) -> None: - self._data = data - - def __contains__(self, key: typing.Any) -> bool: - return key in self._data - - def __getitem__(self, key: str) -> typing.Any: - return self._data.__getitem__(key) - - def __setitem__(self, key: str, value: typing.Any) -> None: - self._data.__setitem__(key, value) - - def __delitem__(self, key: str) -> None: - self._data.__delitem__(key) - - def __iter__(self) -> typing.Iterator[typing.Any]: - return self._data.__iter__() - - def __len__(self) -> int: - return self._data.__len__() - - def __ne__(self, other: typing.Any) -> bool: - return not self.__eq__(other) - - def keys(self) -> typing.KeysView[str]: - return self._data.keys() - - def values(self) -> typing.ValuesView[typing.Any]: - return self._data.values() - - def items(self) -> typing.ItemsView[str, typing.Any]: - return self._data.items() - - def get(self, key: str, default: typing.Any = None) -> typing.Any: - try: - return self[key] - except KeyError: - return default - - @typing.overload - def pop(self, key: str) -> typing.Any: ... - - @typing.overload - def pop(self, key: str, default: _T) -> _T: ... - - @typing.overload - def pop(self, key: str, default: typing.Any) -> typing.Any: ... - - def pop(self, key: str, default: typing.Any = _UNSET) -> typing.Any: - if default is _UNSET: - return self._data.pop(key) - return self._data.pop(key, default) - - def popitem(self) -> typing.Tuple[str, typing.Any]: - return self._data.popitem() - - def clear(self) -> None: - self._data.clear() - - def update(self, *args: typing.Any, **kwargs: typing.Any) -> None: - self._data.update(*args, **kwargs) - - @typing.overload - def setdefault(self, key: str, default: None = None) -> None: ... - - @typing.overload - def setdefault(self, key: str, default: typing.Any) -> typing.Any: ... - - def setdefault(self, key: str, default: typing.Any = _UNSET) -> typing.Any: - if default is _UNSET: - return self._data.setdefault(key) - return self._data.setdefault(key, default) - - def __eq__(self, other: typing.Any) -> bool: - try: - other_model = self.__class__(other) - except Exception: - return False - return self._data == other_model._data - - def __repr__(self) -> str: - return str(self._data) - - -def _is_model(obj: typing.Any) -> bool: - return getattr(obj, "_is_model", False) - - -def _serialize(o, format: typing.Optional[str] = None): # pylint: disable=too-many-return-statements - if isinstance(o, list): - return [_serialize(x, format) for x in o] - if isinstance(o, dict): - return {k: _serialize(v, format) for k, v in o.items()} - if isinstance(o, set): - return {_serialize(x, format) for x in o} - if isinstance(o, tuple): - return tuple(_serialize(x, format) for x in o) - if isinstance(o, (bytes, bytearray)): - return _serialize_bytes(o, format) - if isinstance(o, decimal.Decimal): - return float(o) - if isinstance(o, enum.Enum): - return o.value - if isinstance(o, int): - if format == "str": - return str(o) - return o - try: - # First try datetime.datetime - return _serialize_datetime(o, format) - except AttributeError: - pass - # Last, try datetime.timedelta - try: - return _timedelta_as_isostr(o) - except AttributeError: - # This will be raised when it hits value.total_seconds in the method above - pass - return o - - -def _get_rest_field( - attr_to_rest_field: typing.Dict[str, "_RestField"], rest_name: str -) -> typing.Optional["_RestField"]: - try: - return next(rf for rf in attr_to_rest_field.values() if rf._rest_name == rest_name) - except StopIteration: - return None - - -def _create_value(rf: typing.Optional["_RestField"], value: typing.Any) -> typing.Any: - if not rf: - return _serialize(value, None) - if rf._is_multipart_file_input: - return value - if rf._is_model: - return _deserialize(rf._type, value) - if isinstance(value, ET.Element): - value = _deserialize(rf._type, value) - return _serialize(value, rf._format) - - -class Model(_MyMutableMapping): - _is_model = True - # label whether current class's _attr_to_rest_field has been calculated - # could not see _attr_to_rest_field directly because subclass inherits it from parent class - _calculated: typing.Set[str] = set() - - def __init__(self, *args: typing.Any, **kwargs: typing.Any) -> None: - class_name = self.__class__.__name__ - if len(args) > 1: - raise TypeError(f"{class_name}.__init__() takes 2 positional arguments but {len(args) + 1} were given") - dict_to_pass = { - rest_field._rest_name: rest_field._default - for rest_field in self._attr_to_rest_field.values() - if rest_field._default is not _UNSET - } - if args: # pylint: disable=too-many-nested-blocks - if isinstance(args[0], ET.Element): - existed_attr_keys = [] - model_meta = getattr(self, "_xml", {}) - - for rf in self._attr_to_rest_field.values(): - prop_meta = getattr(rf, "_xml", {}) - xml_name = prop_meta.get("name", rf._rest_name) - xml_ns = prop_meta.get("ns", model_meta.get("ns", None)) - if xml_ns: - xml_name = "{" + xml_ns + "}" + xml_name - - # attribute - if prop_meta.get("attribute", False) and args[0].get(xml_name) is not None: - existed_attr_keys.append(xml_name) - dict_to_pass[rf._rest_name] = _deserialize(rf._type, args[0].get(xml_name)) - continue - - # unwrapped element is array - if prop_meta.get("unwrapped", False): - # unwrapped array could either use prop items meta/prop meta - if prop_meta.get("itemsName"): - xml_name = prop_meta.get("itemsName") - xml_ns = prop_meta.get("itemNs") - if xml_ns: - xml_name = "{" + xml_ns + "}" + xml_name - items = args[0].findall(xml_name) # pyright: ignore - if len(items) > 0: - existed_attr_keys.append(xml_name) - dict_to_pass[rf._rest_name] = _deserialize(rf._type, items) - continue - - # text element is primitive type - if prop_meta.get("text", False): - if args[0].text is not None: - dict_to_pass[rf._rest_name] = _deserialize(rf._type, args[0].text) - continue - - # wrapped element could be normal property or array, it should only have one element - item = args[0].find(xml_name) - if item is not None: - existed_attr_keys.append(xml_name) - dict_to_pass[rf._rest_name] = _deserialize(rf._type, item) - - # rest thing is additional properties - for e in args[0]: - if e.tag not in existed_attr_keys: - dict_to_pass[e.tag] = _convert_element(e) - else: - dict_to_pass.update( - {k: _create_value(_get_rest_field(self._attr_to_rest_field, k), v) for k, v in args[0].items()} - ) - else: - non_attr_kwargs = [k for k in kwargs if k not in self._attr_to_rest_field] - if non_attr_kwargs: - # actual type errors only throw the first wrong keyword arg they see, so following that. - raise TypeError(f"{class_name}.__init__() got an unexpected keyword argument '{non_attr_kwargs[0]}'") - dict_to_pass.update( - { - self._attr_to_rest_field[k]._rest_name: _create_value(self._attr_to_rest_field[k], v) - for k, v in kwargs.items() - if v is not None - } - ) - super().__init__(dict_to_pass) - - def copy(self) -> "Model": - return Model(self.__dict__) - - def __new__(cls, *args: typing.Any, **kwargs: typing.Any) -> Self: # pylint: disable=unused-argument - if f"{cls.__module__}.{cls.__qualname__}" not in cls._calculated: - # we know the last nine classes in mro are going to be 'Model', '_MyMutableMapping', 'MutableMapping', - # 'Mapping', 'Collection', 'Sized', 'Iterable', 'Container' and 'object' - mros = cls.__mro__[:-9][::-1] # ignore parents, and reverse the mro order - attr_to_rest_field: typing.Dict[str, _RestField] = { # map attribute name to rest_field property - k: v for mro_class in mros for k, v in mro_class.__dict__.items() if k[0] != "_" and hasattr(v, "_type") - } - annotations = { - k: v - for mro_class in mros - if hasattr(mro_class, "__annotations__") # pylint: disable=no-member - for k, v in mro_class.__annotations__.items() # pylint: disable=no-member - } - for attr, rf in attr_to_rest_field.items(): - rf._module = cls.__module__ - if not rf._type: - rf._type = rf._get_deserialize_callable_from_annotation(annotations.get(attr, None)) - if not rf._rest_name_input: - rf._rest_name_input = attr - cls._attr_to_rest_field: typing.Dict[str, _RestField] = dict(attr_to_rest_field.items()) - cls._calculated.add(f"{cls.__module__}.{cls.__qualname__}") - - return super().__new__(cls) # pylint: disable=no-value-for-parameter - - def __init_subclass__(cls, discriminator: typing.Optional[str] = None) -> None: - for base in cls.__bases__: - if hasattr(base, "__mapping__"): # pylint: disable=no-member - base.__mapping__[discriminator or cls.__name__] = cls # type: ignore # pylint: disable=no-member - - @classmethod - def _get_discriminator(cls, exist_discriminators) -> typing.Optional["_RestField"]: - for v in cls.__dict__.values(): - if isinstance(v, _RestField) and v._is_discriminator and v._rest_name not in exist_discriminators: - return v - return None - - @classmethod - def _deserialize(cls, data, exist_discriminators): - if not hasattr(cls, "__mapping__"): # pylint: disable=no-member - return cls(data) - discriminator = cls._get_discriminator(exist_discriminators) - if discriminator is None: - return cls(data) - exist_discriminators.append(discriminator._rest_name) - if isinstance(data, ET.Element): - model_meta = getattr(cls, "_xml", {}) - prop_meta = getattr(discriminator, "_xml", {}) - xml_name = prop_meta.get("name", discriminator._rest_name) - xml_ns = prop_meta.get("ns", model_meta.get("ns", None)) - if xml_ns: - xml_name = "{" + xml_ns + "}" + xml_name - - if data.get(xml_name) is not None: - discriminator_value = data.get(xml_name) - else: - discriminator_value = data.find(xml_name).text # pyright: ignore - else: - discriminator_value = data.get(discriminator._rest_name) - mapped_cls = cls.__mapping__.get(discriminator_value, cls) # pyright: ignore # pylint: disable=no-member - return mapped_cls._deserialize(data, exist_discriminators) - - def as_dict(self, *, exclude_readonly: bool = False) -> typing.Dict[str, typing.Any]: - """Return a dict that can be JSONify using json.dump. - - :keyword bool exclude_readonly: Whether to remove the readonly properties. - :returns: A dict JSON compatible object - :rtype: dict - """ - - result = {} - readonly_props = [] - if exclude_readonly: - readonly_props = [p._rest_name for p in self._attr_to_rest_field.values() if _is_readonly(p)] - for k, v in self.items(): - if exclude_readonly and k in readonly_props: # pyright: ignore - continue - is_multipart_file_input = False - try: - is_multipart_file_input = next( - rf for rf in self._attr_to_rest_field.values() if rf._rest_name == k - )._is_multipart_file_input - except StopIteration: - pass - result[k] = v if is_multipart_file_input else Model._as_dict_value(v, exclude_readonly=exclude_readonly) - return result - - @staticmethod - def _as_dict_value(v: typing.Any, exclude_readonly: bool = False) -> typing.Any: - if v is None or isinstance(v, _Null): - return None - if isinstance(v, (list, tuple, set)): - return type(v)(Model._as_dict_value(x, exclude_readonly=exclude_readonly) for x in v) - if isinstance(v, dict): - return {dk: Model._as_dict_value(dv, exclude_readonly=exclude_readonly) for dk, dv in v.items()} - return v.as_dict(exclude_readonly=exclude_readonly) if hasattr(v, "as_dict") else v - - -def _deserialize_model(model_deserializer: typing.Optional[typing.Callable], obj): - if _is_model(obj): - return obj - return _deserialize(model_deserializer, obj) - - -def _deserialize_with_optional(if_obj_deserializer: typing.Optional[typing.Callable], obj): - if obj is None: - return obj - return _deserialize_with_callable(if_obj_deserializer, obj) - - -def _deserialize_with_union(deserializers, obj): - for deserializer in deserializers: - try: - return _deserialize(deserializer, obj) - except DeserializationError: - pass - raise DeserializationError() - - -def _deserialize_dict( - value_deserializer: typing.Optional[typing.Callable], - module: typing.Optional[str], - obj: typing.Dict[typing.Any, typing.Any], -): - if obj is None: - return obj - if isinstance(obj, ET.Element): - obj = {child.tag: child for child in obj} - return {k: _deserialize(value_deserializer, v, module) for k, v in obj.items()} - - -def _deserialize_multiple_sequence( - entry_deserializers: typing.List[typing.Optional[typing.Callable]], - module: typing.Optional[str], - obj, -): - if obj is None: - return obj - return type(obj)(_deserialize(deserializer, entry, module) for entry, deserializer in zip(obj, entry_deserializers)) - - -def _deserialize_sequence( - deserializer: typing.Optional[typing.Callable], - module: typing.Optional[str], - obj, -): - if obj is None: - return obj - if isinstance(obj, ET.Element): - obj = list(obj) - return type(obj)(_deserialize(deserializer, entry, module) for entry in obj) - - -def _sorted_annotations(types: typing.List[typing.Any]) -> typing.List[typing.Any]: - return sorted( - types, - key=lambda x: hasattr(x, "__name__") and x.__name__.lower() in ("str", "float", "int", "bool"), - ) - - -def _get_deserialize_callable_from_annotation( # pylint: disable=R0911, R0915, R0912 - annotation: typing.Any, - module: typing.Optional[str], - rf: typing.Optional["_RestField"] = None, -) -> typing.Optional[typing.Callable[[typing.Any], typing.Any]]: - if not annotation: - return None - - # is it a type alias? - if isinstance(annotation, str): - if module is not None: - annotation = _get_type_alias_type(module, annotation) - - # is it a forward ref / in quotes? - if isinstance(annotation, (str, typing.ForwardRef)): - try: - model_name = annotation.__forward_arg__ # type: ignore - except AttributeError: - model_name = annotation - if module is not None: - annotation = _get_model(module, model_name) - - try: - if module and _is_model(annotation): - if rf: - rf._is_model = True - - return functools.partial(_deserialize_model, annotation) # pyright: ignore - except Exception: - pass - - # is it a literal? - try: - if annotation.__origin__ is typing.Literal: # pyright: ignore - return None - except AttributeError: - pass - - # is it optional? - try: - if any(a for a in annotation.__args__ if a == type(None)): # pyright: ignore - if len(annotation.__args__) <= 2: # pyright: ignore - if_obj_deserializer = _get_deserialize_callable_from_annotation( - next(a for a in annotation.__args__ if a != type(None)), module, rf # pyright: ignore - ) - - return functools.partial(_deserialize_with_optional, if_obj_deserializer) - # the type is Optional[Union[...]], we need to remove the None type from the Union - annotation_copy = copy.copy(annotation) - annotation_copy.__args__ = [a for a in annotation_copy.__args__ if a != type(None)] # pyright: ignore - return _get_deserialize_callable_from_annotation(annotation_copy, module, rf) - except AttributeError: - pass - - # is it union? - if getattr(annotation, "__origin__", None) is typing.Union: - # initial ordering is we make `string` the last deserialization option, because it is often them most generic - deserializers = [ - _get_deserialize_callable_from_annotation(arg, module, rf) - for arg in _sorted_annotations(annotation.__args__) # pyright: ignore - ] - - return functools.partial(_deserialize_with_union, deserializers) - - try: - if annotation._name == "Dict": # pyright: ignore - value_deserializer = _get_deserialize_callable_from_annotation( - annotation.__args__[1], module, rf # pyright: ignore - ) - - return functools.partial( - _deserialize_dict, - value_deserializer, - module, - ) - except (AttributeError, IndexError): - pass - try: - if annotation._name in ["List", "Set", "Tuple", "Sequence"]: # pyright: ignore - if len(annotation.__args__) > 1: # pyright: ignore - entry_deserializers = [ - _get_deserialize_callable_from_annotation(dt, module, rf) - for dt in annotation.__args__ # pyright: ignore - ] - return functools.partial(_deserialize_multiple_sequence, entry_deserializers, module) - deserializer = _get_deserialize_callable_from_annotation( - annotation.__args__[0], module, rf # pyright: ignore - ) - - return functools.partial(_deserialize_sequence, deserializer, module) - except (TypeError, IndexError, AttributeError, SyntaxError): - pass - - def _deserialize_default( - deserializer, - obj, - ): - if obj is None: - return obj - try: - return _deserialize_with_callable(deserializer, obj) - except Exception: - pass - return obj - - if get_deserializer(annotation, rf): - return functools.partial(_deserialize_default, get_deserializer(annotation, rf)) - - return functools.partial(_deserialize_default, annotation) - - -def _deserialize_with_callable( - deserializer: typing.Optional[typing.Callable[[typing.Any], typing.Any]], - value: typing.Any, -): # pylint: disable=too-many-return-statements - try: - if value is None or isinstance(value, _Null): - return None - if isinstance(value, ET.Element): - if deserializer is str: - return value.text or "" - if deserializer is int: - return int(value.text) if value.text else None - if deserializer is float: - return float(value.text) if value.text else None - if deserializer is bool: - return value.text == "true" if value.text else None - if deserializer is None: - return value - if deserializer in [int, float, bool]: - return deserializer(value) - if isinstance(deserializer, CaseInsensitiveEnumMeta): - try: - return deserializer(value) - except ValueError: - # for unknown value, return raw value - return value - if isinstance(deserializer, type) and issubclass(deserializer, Model): - return deserializer._deserialize(value, []) - return typing.cast(typing.Callable[[typing.Any], typing.Any], deserializer)(value) - except Exception as e: - raise DeserializationError() from e - - -def _deserialize( - deserializer: typing.Any, - value: typing.Any, - module: typing.Optional[str] = None, - rf: typing.Optional["_RestField"] = None, - format: typing.Optional[str] = None, -) -> typing.Any: - if isinstance(value, PipelineResponse): - value = value.http_response.json() - if rf is None and format: - rf = _RestField(format=format) - if not isinstance(deserializer, functools.partial): - deserializer = _get_deserialize_callable_from_annotation(deserializer, module, rf) - return _deserialize_with_callable(deserializer, value) - - -class _RestField: - def __init__( - self, - *, - name: typing.Optional[str] = None, - type: typing.Optional[typing.Callable] = None, # pylint: disable=redefined-builtin - is_discriminator: bool = False, - visibility: typing.Optional[typing.List[str]] = None, - default: typing.Any = _UNSET, - format: typing.Optional[str] = None, - is_multipart_file_input: bool = False, - xml: typing.Optional[typing.Dict[str, typing.Any]] = None, - ): - self._type = type - self._rest_name_input = name - self._module: typing.Optional[str] = None - self._is_discriminator = is_discriminator - self._visibility = visibility - self._is_model = False - self._default = default - self._format = format - self._is_multipart_file_input = is_multipart_file_input - self._xml = xml if xml is not None else {} - - @property - def _class_type(self) -> typing.Any: - return getattr(self._type, "args", [None])[0] - - @property - def _rest_name(self) -> str: - if self._rest_name_input is None: - raise ValueError("Rest name was never set") - return self._rest_name_input - - def __get__(self, obj: Model, type=None): # pylint: disable=redefined-builtin - # by this point, type and rest_name will have a value bc we default - # them in __new__ of the Model class - item = obj.get(self._rest_name) - if item is None: - return item - if self._is_model: - return item - return _deserialize(self._type, _serialize(item, self._format), rf=self) - - def __set__(self, obj: Model, value) -> None: - if value is None: - # we want to wipe out entries if users set attr to None - try: - obj.__delitem__(self._rest_name) - except KeyError: - pass - return - if self._is_model: - if not _is_model(value): - value = _deserialize(self._type, value) - obj.__setitem__(self._rest_name, value) - return - obj.__setitem__(self._rest_name, _serialize(value, self._format)) - - def _get_deserialize_callable_from_annotation( - self, annotation: typing.Any - ) -> typing.Optional[typing.Callable[[typing.Any], typing.Any]]: - return _get_deserialize_callable_from_annotation(annotation, self._module, self) - - -def rest_field( - *, - name: typing.Optional[str] = None, - type: typing.Optional[typing.Callable] = None, # pylint: disable=redefined-builtin - visibility: typing.Optional[typing.List[str]] = None, - default: typing.Any = _UNSET, - format: typing.Optional[str] = None, - is_multipart_file_input: bool = False, - xml: typing.Optional[typing.Dict[str, typing.Any]] = None, -) -> typing.Any: - return _RestField( - name=name, - type=type, - visibility=visibility, - default=default, - format=format, - is_multipart_file_input=is_multipart_file_input, - xml=xml, - ) - - -def rest_discriminator( - *, - name: typing.Optional[str] = None, - type: typing.Optional[typing.Callable] = None, # pylint: disable=redefined-builtin - visibility: typing.Optional[typing.List[str]] = None, - xml: typing.Optional[typing.Dict[str, typing.Any]] = None, -) -> typing.Any: - return _RestField(name=name, type=type, is_discriminator=True, visibility=visibility, xml=xml) - - -def serialize_xml(model: Model, exclude_readonly: bool = False) -> str: - """Serialize a model to XML. - - :param Model model: The model to serialize. - :param bool exclude_readonly: Whether to exclude readonly properties. - :returns: The XML representation of the model. - :rtype: str - """ - return ET.tostring(_get_element(model, exclude_readonly), encoding="unicode") # type: ignore - - -def _get_element( - o: typing.Any, - exclude_readonly: bool = False, - parent_meta: typing.Optional[typing.Dict[str, typing.Any]] = None, - wrapped_element: typing.Optional[ET.Element] = None, -) -> typing.Union[ET.Element, typing.List[ET.Element]]: - if _is_model(o): - model_meta = getattr(o, "_xml", {}) - - # if prop is a model, then use the prop element directly, else generate a wrapper of model - if wrapped_element is None: - wrapped_element = _create_xml_element( - model_meta.get("name", o.__class__.__name__), - model_meta.get("prefix"), - model_meta.get("ns"), - ) - - readonly_props = [] - if exclude_readonly: - readonly_props = [p._rest_name for p in o._attr_to_rest_field.values() if _is_readonly(p)] - - for k, v in o.items(): - # do not serialize readonly properties - if exclude_readonly and k in readonly_props: - continue - - prop_rest_field = _get_rest_field(o._attr_to_rest_field, k) - if prop_rest_field: - prop_meta = getattr(prop_rest_field, "_xml").copy() - # use the wire name as xml name if no specific name is set - if prop_meta.get("name") is None: - prop_meta["name"] = k - else: - # additional properties will not have rest field, use the wire name as xml name - prop_meta = {"name": k} - - # if no ns for prop, use model's - if prop_meta.get("ns") is None and model_meta.get("ns"): - prop_meta["ns"] = model_meta.get("ns") - prop_meta["prefix"] = model_meta.get("prefix") - - if prop_meta.get("unwrapped", False): - # unwrapped could only set on array - wrapped_element.extend(_get_element(v, exclude_readonly, prop_meta)) - elif prop_meta.get("text", False): - # text could only set on primitive type - wrapped_element.text = _get_primitive_type_value(v) - elif prop_meta.get("attribute", False): - xml_name = prop_meta.get("name", k) - if prop_meta.get("ns"): - ET.register_namespace(prop_meta.get("prefix"), prop_meta.get("ns")) # pyright: ignore - xml_name = "{" + prop_meta.get("ns") + "}" + xml_name # pyright: ignore - # attribute should be primitive type - wrapped_element.set(xml_name, _get_primitive_type_value(v)) - else: - # other wrapped prop element - wrapped_element.append(_get_wrapped_element(v, exclude_readonly, prop_meta)) - return wrapped_element - if isinstance(o, list): - return [_get_element(x, exclude_readonly, parent_meta) for x in o] # type: ignore - if isinstance(o, dict): - result = [] - for k, v in o.items(): - result.append( - _get_wrapped_element( - v, - exclude_readonly, - { - "name": k, - "ns": parent_meta.get("ns") if parent_meta else None, - "prefix": parent_meta.get("prefix") if parent_meta else None, - }, - ) - ) - return result - - # primitive case need to create element based on parent_meta - if parent_meta: - return _get_wrapped_element( - o, - exclude_readonly, - { - "name": parent_meta.get("itemsName", parent_meta.get("name")), - "prefix": parent_meta.get("itemsPrefix", parent_meta.get("prefix")), - "ns": parent_meta.get("itemsNs", parent_meta.get("ns")), - }, - ) - - raise ValueError("Could not serialize value into xml: " + o) - - -def _get_wrapped_element( - v: typing.Any, - exclude_readonly: bool, - meta: typing.Optional[typing.Dict[str, typing.Any]], -) -> ET.Element: - wrapped_element = _create_xml_element( - meta.get("name") if meta else None, meta.get("prefix") if meta else None, meta.get("ns") if meta else None - ) - if isinstance(v, (dict, list)): - wrapped_element.extend(_get_element(v, exclude_readonly, meta)) - elif _is_model(v): - _get_element(v, exclude_readonly, meta, wrapped_element) - else: - wrapped_element.text = _get_primitive_type_value(v) - return wrapped_element - - -def _get_primitive_type_value(v) -> str: - if v is True: - return "true" - if v is False: - return "false" - if isinstance(v, _Null): - return "" - return str(v) - - -def _create_xml_element(tag, prefix=None, ns=None): - if prefix and ns: - ET.register_namespace(prefix, ns) - if ns: - return ET.Element("{" + ns + "}" + tag) - return ET.Element(tag) - - -def _deserialize_xml( - deserializer: typing.Any, - value: str, -) -> typing.Any: - element = ET.fromstring(value) # nosec - return _deserialize(deserializer, element) - - -def _convert_element(e: ET.Element): - # dict case - if len(e.attrib) > 0 or len({child.tag for child in e}) > 1: - dict_result: typing.Dict[str, typing.Any] = {} - for child in e: - if dict_result.get(child.tag) is not None: - if isinstance(dict_result[child.tag], list): - dict_result[child.tag].append(_convert_element(child)) - else: - dict_result[child.tag] = [dict_result[child.tag], _convert_element(child)] - else: - dict_result[child.tag] = _convert_element(child) - dict_result.update(e.attrib) - return dict_result - # array case - if len(e) > 0: - array_result: typing.List[typing.Any] = [] - for child in e: - array_result.append(_convert_element(child)) - return array_result - # primitive case - return e.text diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_operations/__init__.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_operations/__init__.py deleted file mode 100644 index 24be3b0c64fc..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_operations/__init__.py +++ /dev/null @@ -1,19 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from ._operations import RadiologyInsightsClientOperationsMixin - -from ._patch import __all__ as _patch_all -from ._patch import * # pylint: disable=unused-wildcard-import -from ._patch import patch_sdk as _patch_sdk - -__all__ = [ - "RadiologyInsightsClientOperationsMixin", -] -__all__.extend([p for p in _patch_all if p not in __all__]) -_patch_sdk() diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_operations/_operations.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_operations/_operations.py deleted file mode 100644 index 72fc5d89cbc2..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_operations/_operations.py +++ /dev/null @@ -1,324 +0,0 @@ -# pylint: disable=too-many-lines,too-many-statements -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- -from io import IOBase -import json -import sys -from typing import Any, Callable, Dict, IO, Iterator, List, Optional, Type, TypeVar, Union, cast, overload - -from azure.core.exceptions import ( - ClientAuthenticationError, - HttpResponseError, - ResourceExistsError, - ResourceNotFoundError, - ResourceNotModifiedError, - StreamClosedError, - StreamConsumedError, - map_error, -) -from azure.core.pipeline import PipelineResponse -from azure.core.polling import LROPoller, NoPolling, PollingMethod -from azure.core.polling.base_polling import LROBasePolling -from azure.core.rest import HttpRequest, HttpResponse -from azure.core.tracing.decorator import distributed_trace -from azure.core.utils import case_insensitive_dict - -from .. import models as _models -from .._model_base import SdkJSONEncoder, _deserialize -from .._serialization import Serializer -from .._vendor import RadiologyInsightsClientMixinABC - -if sys.version_info >= (3, 9): - from collections.abc import MutableMapping -else: - from typing import MutableMapping # type: ignore # pylint: disable=ungrouped-imports -JSON = MutableMapping[str, Any] # pylint: disable=unsubscriptable-object -T = TypeVar("T") -ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]] - -_SERIALIZER = Serializer() -_SERIALIZER.client_side_validation = False - - -def build_radiology_insights_infer_radiology_insights_request( # pylint: disable=name-too-long - id: str, *, expand: Optional[List[str]] = None, **kwargs: Any -) -> HttpRequest: - _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) - _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) - - content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) - api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2024-04-01")) - accept = _headers.pop("Accept", "application/json") - - # Construct URL - _url = "/radiology-insights/jobs/{id}" - path_format_arguments = { - "id": _SERIALIZER.url("id", id, "str"), - } - - _url: str = _url.format(**path_format_arguments) # type: ignore - - # Construct parameters - _params["api-version"] = _SERIALIZER.query("api_version", api_version, "str") - if expand is not None: - _params["expand"] = [_SERIALIZER.query("expand", q, "str") if q is not None else "" for q in expand] - - # Construct headers - if content_type is not None: - _headers["Content-Type"] = _SERIALIZER.header("content_type", content_type, "str") - _headers["Accept"] = _SERIALIZER.header("accept", accept, "str") - - return HttpRequest(method="PUT", url=_url, params=_params, headers=_headers, **kwargs) - - -class RadiologyInsightsClientOperationsMixin(RadiologyInsightsClientMixinABC): - - def _infer_radiology_insights_initial( - self, - id: str, - resource: Union[_models.RadiologyInsightsJob, JSON, IO[bytes]], - *, - expand: Optional[List[str]] = None, - **kwargs: Any - ) -> Iterator[bytes]: - error_map: MutableMapping[int, Type[HttpResponseError]] = { # pylint: disable=unsubscriptable-object - 401: ClientAuthenticationError, - 404: ResourceNotFoundError, - 409: ResourceExistsError, - 304: ResourceNotModifiedError, - } - error_map.update(kwargs.pop("error_map", {}) or {}) - - _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) - _params = kwargs.pop("params", {}) or {} - - content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) - cls: ClsType[Iterator[bytes]] = kwargs.pop("cls", None) - - content_type = content_type or "application/json" - _content = None - if isinstance(resource, (IOBase, bytes)): - _content = resource - else: - _content = json.dumps(resource, cls=SdkJSONEncoder, exclude_readonly=True) # type: ignore - - _request = build_radiology_insights_infer_radiology_insights_request( - id=id, - expand=expand, - content_type=content_type, - api_version=self._config.api_version, - content=_content, - headers=_headers, - params=_params, - ) - path_format_arguments = { - "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), - } - _request.url = self._client.format_url(_request.url, **path_format_arguments) - - _stream = True - pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access - _request, stream=_stream, **kwargs - ) - - response = pipeline_response.http_response - - if response.status_code not in [200, 201]: - try: - response.read() # Load the body in memory and close the socket - except (StreamConsumedError, StreamClosedError): - pass - map_error(status_code=response.status_code, response=response, error_map=error_map) - error = _deserialize(_models.HealthInsightsErrorResponse, response.json()) - raise HttpResponseError(response=response, model=error) - - response_headers = {} - response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id")) - response_headers["Operation-Location"] = self._deserialize("str", response.headers.get("Operation-Location")) - - deserialized = response.iter_bytes() - - if cls: - return cls(pipeline_response, deserialized, response_headers) # type: ignore - - return deserialized # type: ignore - - @overload - def begin_infer_radiology_insights( - self, - id: str, - resource: _models.RadiologyInsightsJob, - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> LROPoller[_models.RadiologyInsightsJob]: - """Create Radiology Insights job. - - Creates a Radiology Insights job with the given request body. - - :param id: The unique ID of the job. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. - Default value is "application/json". - :paramtype content_type: str - :return: An instance of LROPoller that returns RadiologyInsightsJob. The RadiologyInsightsJob - is compatible with MutableMapping - :rtype: - ~azure.core.polling.LROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob] - :raises ~azure.core.exceptions.HttpResponseError: - """ - - @overload - def begin_infer_radiology_insights( - self, - id: str, - resource: JSON, - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> LROPoller[_models.RadiologyInsightsJob]: - """Create Radiology Insights job. - - Creates a Radiology Insights job with the given request body. - - :param id: The unique ID of the job. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: JSON - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. - Default value is "application/json". - :paramtype content_type: str - :return: An instance of LROPoller that returns RadiologyInsightsJob. The RadiologyInsightsJob - is compatible with MutableMapping - :rtype: - ~azure.core.polling.LROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob] - :raises ~azure.core.exceptions.HttpResponseError: - """ - - @overload - def begin_infer_radiology_insights( - self, - id: str, - resource: IO[bytes], - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> LROPoller[_models.RadiologyInsightsJob]: - """Create Radiology Insights job. - - Creates a Radiology Insights job with the given request body. - - :param id: The unique ID of the job. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: IO[bytes] - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for binary body. - Default value is "application/json". - :paramtype content_type: str - :return: An instance of LROPoller that returns RadiologyInsightsJob. The RadiologyInsightsJob - is compatible with MutableMapping - :rtype: - ~azure.core.polling.LROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob] - :raises ~azure.core.exceptions.HttpResponseError: - """ - - @distributed_trace - def begin_infer_radiology_insights( - self, - id: str, - resource: Union[_models.RadiologyInsightsJob, JSON, IO[bytes]], - *, - expand: Optional[List[str]] = None, - **kwargs: Any - ) -> LROPoller[_models.RadiologyInsightsJob]: - """Create Radiology Insights job. - - Creates a Radiology Insights job with the given request body. - - :param id: The unique ID of the job. Required. - :type id: str - :param resource: The resource instance. Is one of the following types: RadiologyInsightsJob, - JSON, IO[bytes] Required. - :type resource: ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob or JSON or - IO[bytes] - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :return: An instance of LROPoller that returns RadiologyInsightsJob. The RadiologyInsightsJob - is compatible with MutableMapping - :rtype: - ~azure.core.polling.LROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob] - :raises ~azure.core.exceptions.HttpResponseError: - """ - _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) - _params = kwargs.pop("params", {}) or {} - - content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) - cls: ClsType[_models.RadiologyInsightsJob] = kwargs.pop("cls", None) - polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) - lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) - cont_token: Optional[str] = kwargs.pop("continuation_token", None) - if cont_token is None: - raw_result = self._infer_radiology_insights_initial( - id=id, - resource=resource, - expand=expand, - content_type=content_type, - cls=lambda x, y, z: x, - headers=_headers, - params=_params, - **kwargs - ) - raw_result.http_response.read() # type: ignore - kwargs.pop("error_map", None) - - def get_long_running_output(pipeline_response): - response_headers = {} - response = pipeline_response.http_response - response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id")) - response_headers["Operation-Location"] = self._deserialize( - "str", response.headers.get("Operation-Location") - ) - - deserialized = _deserialize(_models.RadiologyInsightsJob, response.json().get("result")) - if cls: - return cls(pipeline_response, deserialized, response_headers) # type: ignore - return deserialized - - path_format_arguments = { - "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), - } - - if polling is True: - polling_method: PollingMethod = cast( - PollingMethod, LROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs) - ) - elif polling is False: - polling_method = cast(PollingMethod, NoPolling()) - else: - polling_method = polling - if cont_token: - return LROPoller[_models.RadiologyInsightsJob].from_continuation_token( - polling_method=polling_method, - continuation_token=cont_token, - client=self._client, - deserialization_callback=get_long_running_output, - ) - return LROPoller[_models.RadiologyInsightsJob]( - self._client, raw_result, get_long_running_output, polling_method # type: ignore - ) diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_operations/_patch.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_operations/_patch.py deleted file mode 100644 index f7dd32510333..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_operations/_patch.py +++ /dev/null @@ -1,20 +0,0 @@ -# ------------------------------------ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. -# ------------------------------------ -"""Customize generated code here. - -Follow our quickstart for examples: https://aka.ms/azsdk/python/dpcodegen/python/customize -""" -from typing import List - -__all__: List[str] = [] # Add all objects you want publicly available to users at this package level - - -def patch_sdk(): - """Do not remove from this file. - - `patch_sdk` is a last resort escape hatch that allows you to do customizations - you can't accomplish using the techniques described in - https://aka.ms/azsdk/python/dpcodegen/python/customize - """ diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_patch.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_patch.py deleted file mode 100644 index d599e61e8554..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_patch.py +++ /dev/null @@ -1,276 +0,0 @@ -# pylint: disable=protected-access -# ------------------------------------ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. -# ------------------------------------ -"""Customize generated code here. - -Follow our quickstart for examples: https://aka.ms/azsdk/python/dpcodegen/python/customize -""" -from typing import ( - Any, - IO, - Optional, - Dict, - Union, - cast, - overload, - List, - MutableMapping, - TypeVar, - Callable, - TYPE_CHECKING, -) # pylint: disable=line-too-long -from azure.core.credentials import AzureKeyCredential -from azure.core.rest import HttpRequest, HttpResponse -from azure.core.pipeline import PipelineResponse -from azure.core.polling import LROPoller, NoPolling, PollingMethod -from azure.core.polling.base_polling import LROBasePolling -from azure.core.tracing.decorator import distributed_trace -from azure.core.utils import case_insensitive_dict - -from . import models as _models -from ._model_base import _deserialize -from ._client import RadiologyInsightsClient as _RadiologyInsightsClient - - -JSON = MutableMapping[str, Any] # pylint: disable=unsubscriptable-object -T = TypeVar("T") -ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]] - -if TYPE_CHECKING: - # pylint: disable=unused-import,ungrouped-imports - from azure.core.credentials import TokenCredential - - -class RadiologyInsightsClient: # pylint: disable=client-accepts-api-version-keyword - """RadiologyInsightsClient. - - :param endpoint: Supported Cognitive Services endpoints (protocol and hostname, for example: - https://westus2.api.cognitive.microsoft.com). Required. - :type endpoint: str - :param credential: Credential used to authenticate requests to the service. Is either a - AzureKeyCredential type or a TokenCredential type. Required. - :type credential: ~azure.core.credentials.AzureKeyCredential or - ~azure.core.credentials.TokenCredential - :keyword api_version: The API version to use for this operation. Default value is "2024-04-01". - Note that overriding this default value may result in unsupported behavior. - :paramtype api_version: str - :keyword int polling_interval: Default waiting time between two polls for LRO operations if no - Retry-After header is present. - """ - - def __init__(self, endpoint: str, credential: Union[AzureKeyCredential, "TokenCredential"], **kwargs: Any) -> None: - self._client = _RadiologyInsightsClient(endpoint=endpoint, credential=credential, **kwargs) - - @overload - def begin_infer_radiology_insights( - self, - id: str, - resource: _models.RadiologyInsightsJob, - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> LROPoller[_models.RadiologyInsightsInferenceResult]: - # pylint: disable=line-too-long - """Create Radiology Insights inference result. - - Creates a Radiology Insights inference result with the given request body. - - :param id: The unique ID of the inference result. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". - :paramtype content_type: str - :return: An instance of LROPoller that returns RadiologyInsightsInferenceResult. The RadiologyInsightsInferenceResult is compatible with MutableMapping - :rtype: ~azure.core.polling.LROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsResult] - :raises ~azure.core.exceptions.HttpResponseError:""" - - @overload - def begin_infer_radiology_insights( - self, - id: str, - resource: JSON, - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> LROPoller[_models.RadiologyInsightsInferenceResult]: - # pylint: disable=line-too-long - """Create Radiology Insights inference result. - - Creates a Radiology Insights inference result with the given request body. - - :param id: The unique ID of the inference result. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: JSON - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". - :paramtype content_type: str - :return: An instance of LROPoller that returns RadiologyInsightsInferenceResult. The RadiologyInsightsInferenceResult is compatible with MutableMapping - :rtype: ~azure.core.polling.LROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceResult] - :raises ~azure.core.exceptions.HttpResponseError:""" - - @overload - def begin_infer_radiology_insights( - self, - id: str, - resource: IO[bytes], - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> LROPoller[_models.RadiologyInsightsInferenceResult]: - # pylint: disable=line-too-long - """Create Radiology Insights inference result. - - Creates a Radiology Insights inference result with the given request body. - - :param id: The unique ID of the inference result. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: IO[bytes] - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". - :paramtype content_type: str - :return: An instance of LROPoller that returns RadiologyInsightsInferenceResult. The RadiologyInsightsInferenceResult is compatible with MutableMapping - :rtype: ~azure.core.polling.LROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceResult] - :raises ~azure.core.exceptions.HttpResponseError:""" - - @distributed_trace - def begin_infer_radiology_insights( - self, - id: str, - resource: Union[_models.RadiologyInsightsJob, JSON, IO[bytes]], - *, - expand: Optional[List[str]] = None, - **kwargs: Any - ) -> LROPoller[_models.RadiologyInsightsInferenceResult]: - # pylint: disable=line-too-long - """Create Radiology Insights inference result. - - Creates a Radiology Insights inference result with the given request body. - - :param id: The unique ID of the inference result. Required. - :type id: str - :param resource: The resource instance. Is one of the following types: RadiologyInsightsJob, JSON, IO[bytes] Required. - :type resource: ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob or JSON or IO[bytes] - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :return: An instance of LROPoller that returns RadiologyInsightsInferenceResult. The RadiologyInsightsInferenceResult is compatible with MutableMapping - :rtype: ~azure.core.polling.LROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceResult] - :raises ~azure.core.exceptions.HttpResponseError:""" - - _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) - _params = kwargs.pop("params", {}) or {} - - content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) - cls: ClsType[_models.RadiologyInsightsJob] = kwargs.pop("cls", None) - polling: Union[bool, PollingMethod] = kwargs.pop("polling", True) - lro_delay = kwargs.pop( - "polling_interval", self._client._config.polling_interval # pylint: disable=protected-access - ) - cont_token: Optional[str] = kwargs.pop("continuation_token", None) - if cont_token is None: - raw_result = self._client._infer_radiology_insights_initial( # pylint: disable=protected-access - id=id, - resource=resource, - expand=expand, - content_type=content_type, - cls=lambda x, y, z: x, - headers=_headers, - params=_params, - **kwargs - ) - raw_result.http_response.read() # type: ignore - kwargs.pop("error_map", None) - - def get_long_running_output(pipeline_response): - response_headers = {} - response = pipeline_response.http_response - response_headers["x-ms-request-id"] = self._client._deserialize( # pylint: disable=protected-access - "str", response.headers.get("x-ms-request-id") - ) - response_headers["Operation-Location"] = self._client._deserialize( # pylint: disable=protected-access - "str", response.headers.get("Operation-Location") - ) - deserialized = _deserialize(_models.RadiologyInsightsInferenceResult, response.json().get("result")) - if cls: - return cls(pipeline_response, deserialized, response_headers) # type: ignore - return deserialized - - path_format_arguments = { - "endpoint": self._client._serialize.url( # pylint: disable=protected-access - "self._client._config.endpoint", self._client._config.endpoint, "str", skip_quote=True - ), - } - - if polling is True: - polling_method: PollingMethod = cast( - PollingMethod, LROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs) - ) - elif polling is False: - polling_method = cast(PollingMethod, NoPolling()) - else: - polling_method = polling - if cont_token: - return LROPoller[_models.RadiologyInsightsInferenceResult].from_continuation_token( - polling_method=polling_method, - continuation_token=cont_token, - client=self._client._client, # pylint: disable=protected-access - deserialization_callback=get_long_running_output, - ) - return LROPoller[_models.RadiologyInsightsInferenceResult]( - self._client._client, raw_result, get_long_running_output, polling_method # type: ignore # pylint: disable=protected-access - ) - - def send_request(self, request: HttpRequest, *, stream: bool = False, **kwargs: Any) -> HttpResponse: - """Runs the network request through the client's chained policies. - - >>> from azure.core.rest import HttpRequest - >>> request = HttpRequest("GET", "https://www.example.org/") - - >>> response = client.send_request(request) - - - For more information on this code flow, see https://aka.ms/azsdk/dpcodegen/python/send_request - - :param request: The network request you want to make. Required. - :type request: ~azure.core.rest.HttpRequest - :keyword bool stream: Whether the response payload will be streamed. Defaults to False. - :return: The response of your network call. Does not do error handling on your response. - :rtype: ~azure.core.rest.HttpResponse - """ - - return self._client.send_request(request, stream=stream, **kwargs) # type: ignore - - def close(self) -> None: - self._client.close() - - def __enter__(self) -> "RadiologyInsightsClient": - self._client.__enter__() - return self - - def __exit__(self, *exc_details: Any) -> None: - self._client.__exit__(*exc_details) - - -__all__: List[str] = [ - "RadiologyInsightsClient" -] # Add all objects you want publicly available to users at this package level # pylint: disable=line-too-long - - -def patch_sdk(): - """Do not remove from this file. - - `patch_sdk` is a last resort escape hatch that allows you to do customizations - you can't accomplish using the techniques described in - https://aka.ms/azsdk/python/dpcodegen/python/customize - """ diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_serialization.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_serialization.py deleted file mode 100644 index 01a226bd7f14..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_serialization.py +++ /dev/null @@ -1,2115 +0,0 @@ -# pylint: disable=too-many-lines -# -------------------------------------------------------------------------- -# -# Copyright (c) Microsoft Corporation. All rights reserved. -# -# The MIT License (MIT) -# -# Permission is hereby granted, free of charge, to any person obtaining a copy -# of this software and associated documentation files (the ""Software""), to -# deal in the Software without restriction, including without limitation the -# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or -# sell copies of the Software, and to permit persons to whom the Software is -# furnished to do so, subject to the following conditions: -# -# The above copyright notice and this permission notice shall be included in -# all copies or substantial portions of the Software. -# -# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING -# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS -# IN THE SOFTWARE. -# -# -------------------------------------------------------------------------- - -# pyright: reportUnnecessaryTypeIgnoreComment=false - -from base64 import b64decode, b64encode -import calendar -import datetime -import decimal -import email -from enum import Enum -import json -import logging -import re -import sys -import codecs -from typing import ( - Dict, - Any, - cast, - Optional, - Union, - AnyStr, - IO, - Mapping, - Callable, - TypeVar, - MutableMapping, - Type, - List, -) - -try: - from urllib import quote # type: ignore -except ImportError: - from urllib.parse import quote -import xml.etree.ElementTree as ET - -import isodate # type: ignore - -from azure.core.exceptions import DeserializationError, SerializationError -from azure.core.serialization import NULL as CoreNull - -_BOM = codecs.BOM_UTF8.decode(encoding="utf-8") - -ModelType = TypeVar("ModelType", bound="Model") -JSON = MutableMapping[str, Any] - - -class RawDeserializer: - - # Accept "text" because we're open minded people... - JSON_REGEXP = re.compile(r"^(application|text)/([a-z+.]+\+)?json$") - - # Name used in context - CONTEXT_NAME = "deserialized_data" - - @classmethod - def deserialize_from_text(cls, data: Optional[Union[AnyStr, IO]], content_type: Optional[str] = None) -> Any: - """Decode data according to content-type. - - Accept a stream of data as well, but will be load at once in memory for now. - - If no content-type, will return the string version (not bytes, not stream) - - :param data: Input, could be bytes or stream (will be decoded with UTF8) or text - :type data: str or bytes or IO - :param str content_type: The content type. - :return: The deserialized data. - :rtype: object - """ - if hasattr(data, "read"): - # Assume a stream - data = cast(IO, data).read() - - if isinstance(data, bytes): - data_as_str = data.decode(encoding="utf-8-sig") - else: - # Explain to mypy the correct type. - data_as_str = cast(str, data) - - # Remove Byte Order Mark if present in string - data_as_str = data_as_str.lstrip(_BOM) - - if content_type is None: - return data - - if cls.JSON_REGEXP.match(content_type): - try: - return json.loads(data_as_str) - except ValueError as err: - raise DeserializationError("JSON is invalid: {}".format(err), err) from err - elif "xml" in (content_type or []): - try: - - try: - if isinstance(data, unicode): # type: ignore - # If I'm Python 2.7 and unicode XML will scream if I try a "fromstring" on unicode string - data_as_str = data_as_str.encode(encoding="utf-8") # type: ignore - except NameError: - pass - - return ET.fromstring(data_as_str) # nosec - except ET.ParseError as err: - # It might be because the server has an issue, and returned JSON with - # content-type XML.... - # So let's try a JSON load, and if it's still broken - # let's flow the initial exception - def _json_attemp(data): - try: - return True, json.loads(data) - except ValueError: - return False, None # Don't care about this one - - success, json_result = _json_attemp(data) - if success: - return json_result - # If i'm here, it's not JSON, it's not XML, let's scream - # and raise the last context in this block (the XML exception) - # The function hack is because Py2.7 messes up with exception - # context otherwise. - _LOGGER.critical("Wasn't XML not JSON, failing") - raise DeserializationError("XML is invalid") from err - elif content_type.startswith("text/"): - return data_as_str - raise DeserializationError("Cannot deserialize content-type: {}".format(content_type)) - - @classmethod - def deserialize_from_http_generics(cls, body_bytes: Optional[Union[AnyStr, IO]], headers: Mapping) -> Any: - """Deserialize from HTTP response. - - Use bytes and headers to NOT use any requests/aiohttp or whatever - specific implementation. - Headers will tested for "content-type" - - :param bytes body_bytes: The body of the response. - :param dict headers: The headers of the response. - :returns: The deserialized data. - :rtype: object - """ - # Try to use content-type from headers if available - content_type = None - if "content-type" in headers: - content_type = headers["content-type"].split(";")[0].strip().lower() - # Ouch, this server did not declare what it sent... - # Let's guess it's JSON... - # Also, since Autorest was considering that an empty body was a valid JSON, - # need that test as well.... - else: - content_type = "application/json" - - if body_bytes: - return cls.deserialize_from_text(body_bytes, content_type) - return None - - -_LOGGER = logging.getLogger(__name__) - -try: - _long_type = long # type: ignore -except NameError: - _long_type = int - - -class UTC(datetime.tzinfo): - """Time Zone info for handling UTC""" - - def utcoffset(self, dt): - """UTF offset for UTC is 0. - - :param datetime.datetime dt: The datetime - :returns: The offset - :rtype: datetime.timedelta - """ - return datetime.timedelta(0) - - def tzname(self, dt): - """Timestamp representation. - - :param datetime.datetime dt: The datetime - :returns: The timestamp representation - :rtype: str - """ - return "Z" - - def dst(self, dt): - """No daylight saving for UTC. - - :param datetime.datetime dt: The datetime - :returns: The daylight saving time - :rtype: datetime.timedelta - """ - return datetime.timedelta(hours=1) - - -try: - from datetime import timezone as _FixedOffset # type: ignore -except ImportError: # Python 2.7 - - class _FixedOffset(datetime.tzinfo): # type: ignore - """Fixed offset in minutes east from UTC. - Copy/pasted from Python doc - :param datetime.timedelta offset: offset in timedelta format - """ - - def __init__(self, offset): - self.__offset = offset - - def utcoffset(self, dt): - return self.__offset - - def tzname(self, dt): - return str(self.__offset.total_seconds() / 3600) - - def __repr__(self): - return "".format(self.tzname(None)) - - def dst(self, dt): - return datetime.timedelta(0) - - def __getinitargs__(self): - return (self.__offset,) - - -try: - from datetime import timezone - - TZ_UTC = timezone.utc -except ImportError: - TZ_UTC = UTC() # type: ignore - -_FLATTEN = re.compile(r"(? None: - self.additional_properties: Optional[Dict[str, Any]] = {} - for k in kwargs: # pylint: disable=consider-using-dict-items - if k not in self._attribute_map: - _LOGGER.warning("%s is not a known attribute of class %s and will be ignored", k, self.__class__) - elif k in self._validation and self._validation[k].get("readonly", False): - _LOGGER.warning("Readonly attribute %s will be ignored in class %s", k, self.__class__) - else: - setattr(self, k, kwargs[k]) - - def __eq__(self, other: Any) -> bool: - """Compare objects by comparing all attributes. - - :param object other: The object to compare - :returns: True if objects are equal - :rtype: bool - """ - if isinstance(other, self.__class__): - return self.__dict__ == other.__dict__ - return False - - def __ne__(self, other: Any) -> bool: - """Compare objects by comparing all attributes. - - :param object other: The object to compare - :returns: True if objects are not equal - :rtype: bool - """ - return not self.__eq__(other) - - def __str__(self) -> str: - return str(self.__dict__) - - @classmethod - def enable_additional_properties_sending(cls) -> None: - cls._attribute_map["additional_properties"] = {"key": "", "type": "{object}"} - - @classmethod - def is_xml_model(cls) -> bool: - try: - cls._xml_map # type: ignore - except AttributeError: - return False - return True - - @classmethod - def _create_xml_node(cls): - """Create XML node. - - :returns: The XML node - :rtype: xml.etree.ElementTree.Element - """ - try: - xml_map = cls._xml_map # type: ignore - except AttributeError: - xml_map = {} - - return _create_xml_node(xml_map.get("name", cls.__name__), xml_map.get("prefix", None), xml_map.get("ns", None)) - - def serialize(self, keep_readonly: bool = False, **kwargs: Any) -> JSON: - """Return the JSON that would be sent to server from this model. - - This is an alias to `as_dict(full_restapi_key_transformer, keep_readonly=False)`. - - If you want XML serialization, you can pass the kwargs is_xml=True. - - :param bool keep_readonly: If you want to serialize the readonly attributes - :returns: A dict JSON compatible object - :rtype: dict - """ - serializer = Serializer(self._infer_class_models()) - return serializer._serialize( # type: ignore # pylint: disable=protected-access - self, keep_readonly=keep_readonly, **kwargs - ) - - def as_dict( - self, - keep_readonly: bool = True, - key_transformer: Callable[[str, Dict[str, Any], Any], Any] = attribute_transformer, - **kwargs: Any - ) -> JSON: - """Return a dict that can be serialized using json.dump. - - Advanced usage might optionally use a callback as parameter: - - .. code::python - - def my_key_transformer(key, attr_desc, value): - return key - - Key is the attribute name used in Python. Attr_desc - is a dict of metadata. Currently contains 'type' with the - msrest type and 'key' with the RestAPI encoded key. - Value is the current value in this object. - - The string returned will be used to serialize the key. - If the return type is a list, this is considered hierarchical - result dict. - - See the three examples in this file: - - - attribute_transformer - - full_restapi_key_transformer - - last_restapi_key_transformer - - If you want XML serialization, you can pass the kwargs is_xml=True. - - :param bool keep_readonly: If you want to serialize the readonly attributes - :param function key_transformer: A key transformer function. - :returns: A dict JSON compatible object - :rtype: dict - """ - serializer = Serializer(self._infer_class_models()) - return serializer._serialize( # type: ignore # pylint: disable=protected-access - self, key_transformer=key_transformer, keep_readonly=keep_readonly, **kwargs - ) - - @classmethod - def _infer_class_models(cls): - try: - str_models = cls.__module__.rsplit(".", 1)[0] - models = sys.modules[str_models] - client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)} - if cls.__name__ not in client_models: - raise ValueError("Not Autorest generated code") - except Exception: # pylint: disable=broad-exception-caught - # Assume it's not Autorest generated (tests?). Add ourselves as dependencies. - client_models = {cls.__name__: cls} - return client_models - - @classmethod - def deserialize(cls: Type[ModelType], data: Any, content_type: Optional[str] = None) -> ModelType: - """Parse a str using the RestAPI syntax and return a model. - - :param str data: A str using RestAPI structure. JSON by default. - :param str content_type: JSON by default, set application/xml if XML. - :returns: An instance of this model - :raises: DeserializationError if something went wrong - :rtype: ModelType - """ - deserializer = Deserializer(cls._infer_class_models()) - return deserializer(cls.__name__, data, content_type=content_type) # type: ignore - - @classmethod - def from_dict( - cls: Type[ModelType], - data: Any, - key_extractors: Optional[Callable[[str, Dict[str, Any], Any], Any]] = None, - content_type: Optional[str] = None, - ) -> ModelType: - """Parse a dict using given key extractor return a model. - - By default consider key - extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor - and last_rest_key_case_insensitive_extractor) - - :param dict data: A dict using RestAPI structure - :param function key_extractors: A key extractor function. - :param str content_type: JSON by default, set application/xml if XML. - :returns: An instance of this model - :raises: DeserializationError if something went wrong - :rtype: ModelType - """ - deserializer = Deserializer(cls._infer_class_models()) - deserializer.key_extractors = ( # type: ignore - [ # type: ignore - attribute_key_case_insensitive_extractor, - rest_key_case_insensitive_extractor, - last_rest_key_case_insensitive_extractor, - ] - if key_extractors is None - else key_extractors - ) - return deserializer(cls.__name__, data, content_type=content_type) # type: ignore - - @classmethod - def _flatten_subtype(cls, key, objects): - if "_subtype_map" not in cls.__dict__: - return {} - result = dict(cls._subtype_map[key]) - for valuetype in cls._subtype_map[key].values(): - result.update(objects[valuetype]._flatten_subtype(key, objects)) # pylint: disable=protected-access - return result - - @classmethod - def _classify(cls, response, objects): - """Check the class _subtype_map for any child classes. - We want to ignore any inherited _subtype_maps. - Remove the polymorphic key from the initial data. - - :param dict response: The initial data - :param dict objects: The class objects - :returns: The class to be used - :rtype: class - """ - for subtype_key in cls.__dict__.get("_subtype_map", {}).keys(): - subtype_value = None - - if not isinstance(response, ET.Element): - rest_api_response_key = cls._get_rest_key_parts(subtype_key)[-1] - subtype_value = response.pop(rest_api_response_key, None) or response.pop(subtype_key, None) - else: - subtype_value = xml_key_extractor(subtype_key, cls._attribute_map[subtype_key], response) - if subtype_value: - # Try to match base class. Can be class name only - # (bug to fix in Autorest to support x-ms-discriminator-name) - if cls.__name__ == subtype_value: - return cls - flatten_mapping_type = cls._flatten_subtype(subtype_key, objects) - try: - return objects[flatten_mapping_type[subtype_value]] # type: ignore - except KeyError: - _LOGGER.warning( - "Subtype value %s has no mapping, use base class %s.", - subtype_value, - cls.__name__, - ) - break - else: - _LOGGER.warning("Discriminator %s is absent or null, use base class %s.", subtype_key, cls.__name__) - break - return cls - - @classmethod - def _get_rest_key_parts(cls, attr_key): - """Get the RestAPI key of this attr, split it and decode part - :param str attr_key: Attribute key must be in attribute_map. - :returns: A list of RestAPI part - :rtype: list - """ - rest_split_key = _FLATTEN.split(cls._attribute_map[attr_key]["key"]) - return [_decode_attribute_map_key(key_part) for key_part in rest_split_key] - - -def _decode_attribute_map_key(key): - """This decode a key in an _attribute_map to the actual key we want to look at - inside the received data. - - :param str key: A key string from the generated code - :returns: The decoded key - :rtype: str - """ - return key.replace("\\.", ".") - - -class Serializer(object): # pylint: disable=too-many-public-methods - """Request object model serializer.""" - - basic_types = {str: "str", int: "int", bool: "bool", float: "float"} - - _xml_basic_types_serializers = {"bool": lambda x: str(x).lower()} - days = {0: "Mon", 1: "Tue", 2: "Wed", 3: "Thu", 4: "Fri", 5: "Sat", 6: "Sun"} - months = { - 1: "Jan", - 2: "Feb", - 3: "Mar", - 4: "Apr", - 5: "May", - 6: "Jun", - 7: "Jul", - 8: "Aug", - 9: "Sep", - 10: "Oct", - 11: "Nov", - 12: "Dec", - } - validation = { - "min_length": lambda x, y: len(x) < y, - "max_length": lambda x, y: len(x) > y, - "minimum": lambda x, y: x < y, - "maximum": lambda x, y: x > y, - "minimum_ex": lambda x, y: x <= y, - "maximum_ex": lambda x, y: x >= y, - "min_items": lambda x, y: len(x) < y, - "max_items": lambda x, y: len(x) > y, - "pattern": lambda x, y: not re.match(y, x, re.UNICODE), - "unique": lambda x, y: len(x) != len(set(x)), - "multiple": lambda x, y: x % y != 0, - } - - def __init__(self, classes: Optional[Mapping[str, type]] = None): - self.serialize_type = { - "iso-8601": Serializer.serialize_iso, - "rfc-1123": Serializer.serialize_rfc, - "unix-time": Serializer.serialize_unix, - "duration": Serializer.serialize_duration, - "date": Serializer.serialize_date, - "time": Serializer.serialize_time, - "decimal": Serializer.serialize_decimal, - "long": Serializer.serialize_long, - "bytearray": Serializer.serialize_bytearray, - "base64": Serializer.serialize_base64, - "object": self.serialize_object, - "[]": self.serialize_iter, - "{}": self.serialize_dict, - } - self.dependencies: Dict[str, type] = dict(classes) if classes else {} - self.key_transformer = full_restapi_key_transformer - self.client_side_validation = True - - def _serialize( # pylint: disable=too-many-nested-blocks, too-many-branches, too-many-statements, too-many-locals - self, target_obj, data_type=None, **kwargs - ): - """Serialize data into a string according to type. - - :param object target_obj: The data to be serialized. - :param str data_type: The type to be serialized from. - :rtype: str, dict - :raises: SerializationError if serialization fails. - :returns: The serialized data. - """ - key_transformer = kwargs.get("key_transformer", self.key_transformer) - keep_readonly = kwargs.get("keep_readonly", False) - if target_obj is None: - return None - - attr_name = None - class_name = target_obj.__class__.__name__ - - if data_type: - return self.serialize_data(target_obj, data_type, **kwargs) - - if not hasattr(target_obj, "_attribute_map"): - data_type = type(target_obj).__name__ - if data_type in self.basic_types.values(): - return self.serialize_data(target_obj, data_type, **kwargs) - - # Force "is_xml" kwargs if we detect a XML model - try: - is_xml_model_serialization = kwargs["is_xml"] - except KeyError: - is_xml_model_serialization = kwargs.setdefault("is_xml", target_obj.is_xml_model()) - - serialized = {} - if is_xml_model_serialization: - serialized = target_obj._create_xml_node() # pylint: disable=protected-access - try: - attributes = target_obj._attribute_map # pylint: disable=protected-access - for attr, attr_desc in attributes.items(): - attr_name = attr - if not keep_readonly and target_obj._validation.get( # pylint: disable=protected-access - attr_name, {} - ).get("readonly", False): - continue - - if attr_name == "additional_properties" and attr_desc["key"] == "": - if target_obj.additional_properties is not None: - serialized.update(target_obj.additional_properties) - continue - try: - - orig_attr = getattr(target_obj, attr) - if is_xml_model_serialization: - pass # Don't provide "transformer" for XML for now. Keep "orig_attr" - else: # JSON - keys, orig_attr = key_transformer(attr, attr_desc.copy(), orig_attr) - keys = keys if isinstance(keys, list) else [keys] - - kwargs["serialization_ctxt"] = attr_desc - new_attr = self.serialize_data(orig_attr, attr_desc["type"], **kwargs) - - if is_xml_model_serialization: - xml_desc = attr_desc.get("xml", {}) - xml_name = xml_desc.get("name", attr_desc["key"]) - xml_prefix = xml_desc.get("prefix", None) - xml_ns = xml_desc.get("ns", None) - if xml_desc.get("attr", False): - if xml_ns: - ET.register_namespace(xml_prefix, xml_ns) - xml_name = "{{{}}}{}".format(xml_ns, xml_name) - serialized.set(xml_name, new_attr) # type: ignore - continue - if xml_desc.get("text", False): - serialized.text = new_attr # type: ignore - continue - if isinstance(new_attr, list): - serialized.extend(new_attr) # type: ignore - elif isinstance(new_attr, ET.Element): - # If the down XML has no XML/Name, - # we MUST replace the tag with the local tag. But keeping the namespaces. - if "name" not in getattr(orig_attr, "_xml_map", {}): - splitted_tag = new_attr.tag.split("}") - if len(splitted_tag) == 2: # Namespace - new_attr.tag = "}".join([splitted_tag[0], xml_name]) - else: - new_attr.tag = xml_name - serialized.append(new_attr) # type: ignore - else: # That's a basic type - # Integrate namespace if necessary - local_node = _create_xml_node(xml_name, xml_prefix, xml_ns) - local_node.text = str(new_attr) - serialized.append(local_node) # type: ignore - else: # JSON - for k in reversed(keys): # type: ignore - new_attr = {k: new_attr} - - _new_attr = new_attr - _serialized = serialized - for k in keys: # type: ignore - if k not in _serialized: - _serialized.update(_new_attr) # type: ignore - _new_attr = _new_attr[k] # type: ignore - _serialized = _serialized[k] - except ValueError as err: - if isinstance(err, SerializationError): - raise - - except (AttributeError, KeyError, TypeError) as err: - msg = "Attribute {} in object {} cannot be serialized.\n{}".format(attr_name, class_name, str(target_obj)) - raise SerializationError(msg) from err - return serialized - - def body(self, data, data_type, **kwargs): - """Serialize data intended for a request body. - - :param object data: The data to be serialized. - :param str data_type: The type to be serialized from. - :rtype: dict - :raises: SerializationError if serialization fails. - :raises: ValueError if data is None - :returns: The serialized request body - """ - - # Just in case this is a dict - internal_data_type_str = data_type.strip("[]{}") - internal_data_type = self.dependencies.get(internal_data_type_str, None) - try: - is_xml_model_serialization = kwargs["is_xml"] - except KeyError: - if internal_data_type and issubclass(internal_data_type, Model): - is_xml_model_serialization = kwargs.setdefault("is_xml", internal_data_type.is_xml_model()) - else: - is_xml_model_serialization = False - if internal_data_type and not isinstance(internal_data_type, Enum): - try: - deserializer = Deserializer(self.dependencies) - # Since it's on serialization, it's almost sure that format is not JSON REST - # We're not able to deal with additional properties for now. - deserializer.additional_properties_detection = False - if is_xml_model_serialization: - deserializer.key_extractors = [ # type: ignore - attribute_key_case_insensitive_extractor, - ] - else: - deserializer.key_extractors = [ - rest_key_case_insensitive_extractor, - attribute_key_case_insensitive_extractor, - last_rest_key_case_insensitive_extractor, - ] - data = deserializer._deserialize(data_type, data) # pylint: disable=protected-access - except DeserializationError as err: - raise SerializationError("Unable to build a model: " + str(err)) from err - - return self._serialize(data, data_type, **kwargs) - - def url(self, name, data, data_type, **kwargs): - """Serialize data intended for a URL path. - - :param str name: The name of the URL path parameter. - :param object data: The data to be serialized. - :param str data_type: The type to be serialized from. - :rtype: str - :returns: The serialized URL path - :raises: TypeError if serialization fails. - :raises: ValueError if data is None - """ - try: - output = self.serialize_data(data, data_type, **kwargs) - if data_type == "bool": - output = json.dumps(output) - - if kwargs.get("skip_quote") is True: - output = str(output) - output = output.replace("{", quote("{")).replace("}", quote("}")) - else: - output = quote(str(output), safe="") - except SerializationError as exc: - raise TypeError("{} must be type {}.".format(name, data_type)) from exc - return output - - def query(self, name, data, data_type, **kwargs): - """Serialize data intended for a URL query. - - :param str name: The name of the query parameter. - :param object data: The data to be serialized. - :param str data_type: The type to be serialized from. - :rtype: str, list - :raises: TypeError if serialization fails. - :raises: ValueError if data is None - :returns: The serialized query parameter - """ - try: - # Treat the list aside, since we don't want to encode the div separator - if data_type.startswith("["): - internal_data_type = data_type[1:-1] - do_quote = not kwargs.get("skip_quote", False) - return self.serialize_iter(data, internal_data_type, do_quote=do_quote, **kwargs) - - # Not a list, regular serialization - output = self.serialize_data(data, data_type, **kwargs) - if data_type == "bool": - output = json.dumps(output) - if kwargs.get("skip_quote") is True: - output = str(output) - else: - output = quote(str(output), safe="") - except SerializationError as exc: - raise TypeError("{} must be type {}.".format(name, data_type)) from exc - return str(output) - - def header(self, name, data, data_type, **kwargs): - """Serialize data intended for a request header. - - :param str name: The name of the header. - :param object data: The data to be serialized. - :param str data_type: The type to be serialized from. - :rtype: str - :raises: TypeError if serialization fails. - :raises: ValueError if data is None - :returns: The serialized header - """ - try: - if data_type in ["[str]"]: - data = ["" if d is None else d for d in data] - - output = self.serialize_data(data, data_type, **kwargs) - if data_type == "bool": - output = json.dumps(output) - except SerializationError as exc: - raise TypeError("{} must be type {}.".format(name, data_type)) from exc - return str(output) - - def serialize_data(self, data, data_type, **kwargs): - """Serialize generic data according to supplied data type. - - :param object data: The data to be serialized. - :param str data_type: The type to be serialized from. - :raises: AttributeError if required data is None. - :raises: ValueError if data is None - :raises: SerializationError if serialization fails. - :returns: The serialized data. - :rtype: str, int, float, bool, dict, list - """ - if data is None: - raise ValueError("No value for given attribute") - - try: - if data is CoreNull: - return None - if data_type in self.basic_types.values(): - return self.serialize_basic(data, data_type, **kwargs) - - if data_type in self.serialize_type: - return self.serialize_type[data_type](data, **kwargs) - - # If dependencies is empty, try with current data class - # It has to be a subclass of Enum anyway - enum_type = self.dependencies.get(data_type, data.__class__) - if issubclass(enum_type, Enum): - return Serializer.serialize_enum(data, enum_obj=enum_type) - - iter_type = data_type[0] + data_type[-1] - if iter_type in self.serialize_type: - return self.serialize_type[iter_type](data, data_type[1:-1], **kwargs) - - except (ValueError, TypeError) as err: - msg = "Unable to serialize value: {!r} as type: {!r}." - raise SerializationError(msg.format(data, data_type)) from err - return self._serialize(data, **kwargs) - - @classmethod - def _get_custom_serializers(cls, data_type, **kwargs): # pylint: disable=inconsistent-return-statements - custom_serializer = kwargs.get("basic_types_serializers", {}).get(data_type) - if custom_serializer: - return custom_serializer - if kwargs.get("is_xml", False): - return cls._xml_basic_types_serializers.get(data_type) - - @classmethod - def serialize_basic(cls, data, data_type, **kwargs): - """Serialize basic builting data type. - Serializes objects to str, int, float or bool. - - Possible kwargs: - - basic_types_serializers dict[str, callable] : If set, use the callable as serializer - - is_xml bool : If set, use xml_basic_types_serializers - - :param obj data: Object to be serialized. - :param str data_type: Type of object in the iterable. - :rtype: str, int, float, bool - :return: serialized object - """ - custom_serializer = cls._get_custom_serializers(data_type, **kwargs) - if custom_serializer: - return custom_serializer(data) - if data_type == "str": - return cls.serialize_unicode(data) - return eval(data_type)(data) # nosec # pylint: disable=eval-used - - @classmethod - def serialize_unicode(cls, data): - """Special handling for serializing unicode strings in Py2. - Encode to UTF-8 if unicode, otherwise handle as a str. - - :param str data: Object to be serialized. - :rtype: str - :return: serialized object - """ - try: # If I received an enum, return its value - return data.value - except AttributeError: - pass - - try: - if isinstance(data, unicode): # type: ignore - # Don't change it, JSON and XML ElementTree are totally able - # to serialize correctly u'' strings - return data - except NameError: - return str(data) - return str(data) - - def serialize_iter(self, data, iter_type, div=None, **kwargs): - """Serialize iterable. - - Supported kwargs: - - serialization_ctxt dict : The current entry of _attribute_map, or same format. - serialization_ctxt['type'] should be same as data_type. - - is_xml bool : If set, serialize as XML - - :param list data: Object to be serialized. - :param str iter_type: Type of object in the iterable. - :param str div: If set, this str will be used to combine the elements - in the iterable into a combined string. Default is 'None'. - Defaults to False. - :rtype: list, str - :return: serialized iterable - """ - if isinstance(data, str): - raise SerializationError("Refuse str type as a valid iter type.") - - serialization_ctxt = kwargs.get("serialization_ctxt", {}) - is_xml = kwargs.get("is_xml", False) - - serialized = [] - for d in data: - try: - serialized.append(self.serialize_data(d, iter_type, **kwargs)) - except ValueError as err: - if isinstance(err, SerializationError): - raise - serialized.append(None) - - if kwargs.get("do_quote", False): - serialized = ["" if s is None else quote(str(s), safe="") for s in serialized] - - if div: - serialized = ["" if s is None else str(s) for s in serialized] - serialized = div.join(serialized) - - if "xml" in serialization_ctxt or is_xml: - # XML serialization is more complicated - xml_desc = serialization_ctxt.get("xml", {}) - xml_name = xml_desc.get("name") - if not xml_name: - xml_name = serialization_ctxt["key"] - - # Create a wrap node if necessary (use the fact that Element and list have "append") - is_wrapped = xml_desc.get("wrapped", False) - node_name = xml_desc.get("itemsName", xml_name) - if is_wrapped: - final_result = _create_xml_node(xml_name, xml_desc.get("prefix", None), xml_desc.get("ns", None)) - else: - final_result = [] - # All list elements to "local_node" - for el in serialized: - if isinstance(el, ET.Element): - el_node = el - else: - el_node = _create_xml_node(node_name, xml_desc.get("prefix", None), xml_desc.get("ns", None)) - if el is not None: # Otherwise it writes "None" :-p - el_node.text = str(el) - final_result.append(el_node) - return final_result - return serialized - - def serialize_dict(self, attr, dict_type, **kwargs): - """Serialize a dictionary of objects. - - :param dict attr: Object to be serialized. - :param str dict_type: Type of object in the dictionary. - :rtype: dict - :return: serialized dictionary - """ - serialization_ctxt = kwargs.get("serialization_ctxt", {}) - serialized = {} - for key, value in attr.items(): - try: - serialized[self.serialize_unicode(key)] = self.serialize_data(value, dict_type, **kwargs) - except ValueError as err: - if isinstance(err, SerializationError): - raise - serialized[self.serialize_unicode(key)] = None - - if "xml" in serialization_ctxt: - # XML serialization is more complicated - xml_desc = serialization_ctxt["xml"] - xml_name = xml_desc["name"] - - final_result = _create_xml_node(xml_name, xml_desc.get("prefix", None), xml_desc.get("ns", None)) - for key, value in serialized.items(): - ET.SubElement(final_result, key).text = value - return final_result - - return serialized - - def serialize_object(self, attr, **kwargs): # pylint: disable=too-many-return-statements - """Serialize a generic object. - This will be handled as a dictionary. If object passed in is not - a basic type (str, int, float, dict, list) it will simply be - cast to str. - - :param dict attr: Object to be serialized. - :rtype: dict or str - :return: serialized object - """ - if attr is None: - return None - if isinstance(attr, ET.Element): - return attr - obj_type = type(attr) - if obj_type in self.basic_types: - return self.serialize_basic(attr, self.basic_types[obj_type], **kwargs) - if obj_type is _long_type: - return self.serialize_long(attr) - if obj_type is str: - return self.serialize_unicode(attr) - if obj_type is datetime.datetime: - return self.serialize_iso(attr) - if obj_type is datetime.date: - return self.serialize_date(attr) - if obj_type is datetime.time: - return self.serialize_time(attr) - if obj_type is datetime.timedelta: - return self.serialize_duration(attr) - if obj_type is decimal.Decimal: - return self.serialize_decimal(attr) - - # If it's a model or I know this dependency, serialize as a Model - if obj_type in self.dependencies.values() or isinstance(attr, Model): - return self._serialize(attr) - - if obj_type == dict: - serialized = {} - for key, value in attr.items(): - try: - serialized[self.serialize_unicode(key)] = self.serialize_object(value, **kwargs) - except ValueError: - serialized[self.serialize_unicode(key)] = None - return serialized - - if obj_type == list: - serialized = [] - for obj in attr: - try: - serialized.append(self.serialize_object(obj, **kwargs)) - except ValueError: - pass - return serialized - return str(attr) - - @staticmethod - def serialize_enum(attr, enum_obj=None): - try: - result = attr.value - except AttributeError: - result = attr - try: - enum_obj(result) # type: ignore - return result - except ValueError as exc: - for enum_value in enum_obj: # type: ignore - if enum_value.value.lower() == str(attr).lower(): - return enum_value.value - error = "{!r} is not valid value for enum {!r}" - raise SerializationError(error.format(attr, enum_obj)) from exc - - @staticmethod - def serialize_bytearray(attr, **kwargs): # pylint: disable=unused-argument - """Serialize bytearray into base-64 string. - - :param str attr: Object to be serialized. - :rtype: str - :return: serialized base64 - """ - return b64encode(attr).decode() - - @staticmethod - def serialize_base64(attr, **kwargs): # pylint: disable=unused-argument - """Serialize str into base-64 string. - - :param str attr: Object to be serialized. - :rtype: str - :return: serialized base64 - """ - encoded = b64encode(attr).decode("ascii") - return encoded.strip("=").replace("+", "-").replace("/", "_") - - @staticmethod - def serialize_decimal(attr, **kwargs): # pylint: disable=unused-argument - """Serialize Decimal object to float. - - :param decimal attr: Object to be serialized. - :rtype: float - :return: serialized decimal - """ - return float(attr) - - @staticmethod - def serialize_long(attr, **kwargs): # pylint: disable=unused-argument - """Serialize long (Py2) or int (Py3). - - :param int attr: Object to be serialized. - :rtype: int/long - :return: serialized long - """ - return _long_type(attr) - - @staticmethod - def serialize_date(attr, **kwargs): # pylint: disable=unused-argument - """Serialize Date object into ISO-8601 formatted string. - - :param Date attr: Object to be serialized. - :rtype: str - :return: serialized date - """ - if isinstance(attr, str): - attr = isodate.parse_date(attr) - t = "{:04}-{:02}-{:02}".format(attr.year, attr.month, attr.day) - return t - - @staticmethod - def serialize_time(attr, **kwargs): # pylint: disable=unused-argument - """Serialize Time object into ISO-8601 formatted string. - - :param datetime.time attr: Object to be serialized. - :rtype: str - :return: serialized time - """ - if isinstance(attr, str): - attr = isodate.parse_time(attr) - t = "{:02}:{:02}:{:02}".format(attr.hour, attr.minute, attr.second) - if attr.microsecond: - t += ".{:02}".format(attr.microsecond) - return t - - @staticmethod - def serialize_duration(attr, **kwargs): # pylint: disable=unused-argument - """Serialize TimeDelta object into ISO-8601 formatted string. - - :param TimeDelta attr: Object to be serialized. - :rtype: str - :return: serialized duration - """ - if isinstance(attr, str): - attr = isodate.parse_duration(attr) - return isodate.duration_isoformat(attr) - - @staticmethod - def serialize_rfc(attr, **kwargs): # pylint: disable=unused-argument - """Serialize Datetime object into RFC-1123 formatted string. - - :param Datetime attr: Object to be serialized. - :rtype: str - :raises: TypeError if format invalid. - :return: serialized rfc - """ - try: - if not attr.tzinfo: - _LOGGER.warning("Datetime with no tzinfo will be considered UTC.") - utc = attr.utctimetuple() - except AttributeError as exc: - raise TypeError("RFC1123 object must be valid Datetime object.") from exc - - return "{}, {:02} {} {:04} {:02}:{:02}:{:02} GMT".format( - Serializer.days[utc.tm_wday], - utc.tm_mday, - Serializer.months[utc.tm_mon], - utc.tm_year, - utc.tm_hour, - utc.tm_min, - utc.tm_sec, - ) - - @staticmethod - def serialize_iso(attr, **kwargs): # pylint: disable=unused-argument - """Serialize Datetime object into ISO-8601 formatted string. - - :param Datetime attr: Object to be serialized. - :rtype: str - :raises: SerializationError if format invalid. - :return: serialized iso - """ - if isinstance(attr, str): - attr = isodate.parse_datetime(attr) - try: - if not attr.tzinfo: - _LOGGER.warning("Datetime with no tzinfo will be considered UTC.") - utc = attr.utctimetuple() - if utc.tm_year > 9999 or utc.tm_year < 1: - raise OverflowError("Hit max or min date") - - microseconds = str(attr.microsecond).rjust(6, "0").rstrip("0").ljust(3, "0") - if microseconds: - microseconds = "." + microseconds - date = "{:04}-{:02}-{:02}T{:02}:{:02}:{:02}".format( - utc.tm_year, utc.tm_mon, utc.tm_mday, utc.tm_hour, utc.tm_min, utc.tm_sec - ) - return date + microseconds + "Z" - except (ValueError, OverflowError) as err: - msg = "Unable to serialize datetime object." - raise SerializationError(msg) from err - except AttributeError as err: - msg = "ISO-8601 object must be valid Datetime object." - raise TypeError(msg) from err - - @staticmethod - def serialize_unix(attr, **kwargs): # pylint: disable=unused-argument - """Serialize Datetime object into IntTime format. - This is represented as seconds. - - :param Datetime attr: Object to be serialized. - :rtype: int - :raises: SerializationError if format invalid - :return: serialied unix - """ - if isinstance(attr, int): - return attr - try: - if not attr.tzinfo: - _LOGGER.warning("Datetime with no tzinfo will be considered UTC.") - return int(calendar.timegm(attr.utctimetuple())) - except AttributeError as exc: - raise TypeError("Unix time object must be valid Datetime object.") from exc - - -def rest_key_extractor(attr, attr_desc, data): # pylint: disable=unused-argument - key = attr_desc["key"] - working_data = data - - while "." in key: - # Need the cast, as for some reasons "split" is typed as list[str | Any] - dict_keys = cast(List[str], _FLATTEN.split(key)) - if len(dict_keys) == 1: - key = _decode_attribute_map_key(dict_keys[0]) - break - working_key = _decode_attribute_map_key(dict_keys[0]) - working_data = working_data.get(working_key, data) - if working_data is None: - # If at any point while following flatten JSON path see None, it means - # that all properties under are None as well - return None - key = ".".join(dict_keys[1:]) - - return working_data.get(key) - - -def rest_key_case_insensitive_extractor( # pylint: disable=unused-argument, inconsistent-return-statements - attr, attr_desc, data -): - key = attr_desc["key"] - working_data = data - - while "." in key: - dict_keys = _FLATTEN.split(key) - if len(dict_keys) == 1: - key = _decode_attribute_map_key(dict_keys[0]) - break - working_key = _decode_attribute_map_key(dict_keys[0]) - working_data = attribute_key_case_insensitive_extractor(working_key, None, working_data) - if working_data is None: - # If at any point while following flatten JSON path see None, it means - # that all properties under are None as well - return None - key = ".".join(dict_keys[1:]) - - if working_data: - return attribute_key_case_insensitive_extractor(key, None, working_data) - - -def last_rest_key_extractor(attr, attr_desc, data): # pylint: disable=unused-argument - """Extract the attribute in "data" based on the last part of the JSON path key. - - :param str attr: The attribute to extract - :param dict attr_desc: The attribute description - :param dict data: The data to extract from - :rtype: object - :returns: The extracted attribute - """ - key = attr_desc["key"] - dict_keys = _FLATTEN.split(key) - return attribute_key_extractor(dict_keys[-1], None, data) - - -def last_rest_key_case_insensitive_extractor(attr, attr_desc, data): # pylint: disable=unused-argument - """Extract the attribute in "data" based on the last part of the JSON path key. - - This is the case insensitive version of "last_rest_key_extractor" - :param str attr: The attribute to extract - :param dict attr_desc: The attribute description - :param dict data: The data to extract from - :rtype: object - :returns: The extracted attribute - """ - key = attr_desc["key"] - dict_keys = _FLATTEN.split(key) - return attribute_key_case_insensitive_extractor(dict_keys[-1], None, data) - - -def attribute_key_extractor(attr, _, data): - return data.get(attr) - - -def attribute_key_case_insensitive_extractor(attr, _, data): - found_key = None - lower_attr = attr.lower() - for key in data: - if lower_attr == key.lower(): - found_key = key - break - - return data.get(found_key) - - -def _extract_name_from_internal_type(internal_type): - """Given an internal type XML description, extract correct XML name with namespace. - - :param dict internal_type: An model type - :rtype: tuple - :returns: A tuple XML name + namespace dict - """ - internal_type_xml_map = getattr(internal_type, "_xml_map", {}) - xml_name = internal_type_xml_map.get("name", internal_type.__name__) - xml_ns = internal_type_xml_map.get("ns", None) - if xml_ns: - xml_name = "{{{}}}{}".format(xml_ns, xml_name) - return xml_name - - -def xml_key_extractor(attr, attr_desc, data): # pylint: disable=unused-argument,too-many-return-statements - if isinstance(data, dict): - return None - - # Test if this model is XML ready first - if not isinstance(data, ET.Element): - return None - - xml_desc = attr_desc.get("xml", {}) - xml_name = xml_desc.get("name", attr_desc["key"]) - - # Look for a children - is_iter_type = attr_desc["type"].startswith("[") - is_wrapped = xml_desc.get("wrapped", False) - internal_type = attr_desc.get("internalType", None) - internal_type_xml_map = getattr(internal_type, "_xml_map", {}) - - # Integrate namespace if necessary - xml_ns = xml_desc.get("ns", internal_type_xml_map.get("ns", None)) - if xml_ns: - xml_name = "{{{}}}{}".format(xml_ns, xml_name) - - # If it's an attribute, that's simple - if xml_desc.get("attr", False): - return data.get(xml_name) - - # If it's x-ms-text, that's simple too - if xml_desc.get("text", False): - return data.text - - # Scenario where I take the local name: - # - Wrapped node - # - Internal type is an enum (considered basic types) - # - Internal type has no XML/Name node - if is_wrapped or (internal_type and (issubclass(internal_type, Enum) or "name" not in internal_type_xml_map)): - children = data.findall(xml_name) - # If internal type has a local name and it's not a list, I use that name - elif not is_iter_type and internal_type and "name" in internal_type_xml_map: - xml_name = _extract_name_from_internal_type(internal_type) - children = data.findall(xml_name) - # That's an array - else: - if internal_type: # Complex type, ignore itemsName and use the complex type name - items_name = _extract_name_from_internal_type(internal_type) - else: - items_name = xml_desc.get("itemsName", xml_name) - children = data.findall(items_name) - - if len(children) == 0: - if is_iter_type: - if is_wrapped: - return None # is_wrapped no node, we want None - return [] # not wrapped, assume empty list - return None # Assume it's not there, maybe an optional node. - - # If is_iter_type and not wrapped, return all found children - if is_iter_type: - if not is_wrapped: - return children - # Iter and wrapped, should have found one node only (the wrap one) - if len(children) != 1: - raise DeserializationError( - "Tried to deserialize an array not wrapped, and found several nodes '{}'. Maybe you should declare this array as wrapped?".format( # pylint: disable=line-too-long - xml_name - ) - ) - return list(children[0]) # Might be empty list and that's ok. - - # Here it's not a itertype, we should have found one element only or empty - if len(children) > 1: - raise DeserializationError("Find several XML '{}' where it was not expected".format(xml_name)) - return children[0] - - -class Deserializer(object): - """Response object model deserializer. - - :param dict classes: Class type dictionary for deserializing complex types. - :ivar list key_extractors: Ordered list of extractors to be used by this deserializer. - """ - - basic_types = {str: "str", int: "int", bool: "bool", float: "float"} - - valid_date = re.compile(r"\d{4}[-]\d{2}[-]\d{2}T\d{2}:\d{2}:\d{2}\.?\d*Z?[-+]?[\d{2}]?:?[\d{2}]?") - - def __init__(self, classes: Optional[Mapping[str, type]] = None): - self.deserialize_type = { - "iso-8601": Deserializer.deserialize_iso, - "rfc-1123": Deserializer.deserialize_rfc, - "unix-time": Deserializer.deserialize_unix, - "duration": Deserializer.deserialize_duration, - "date": Deserializer.deserialize_date, - "time": Deserializer.deserialize_time, - "decimal": Deserializer.deserialize_decimal, - "long": Deserializer.deserialize_long, - "bytearray": Deserializer.deserialize_bytearray, - "base64": Deserializer.deserialize_base64, - "object": self.deserialize_object, - "[]": self.deserialize_iter, - "{}": self.deserialize_dict, - } - self.deserialize_expected_types = { - "duration": (isodate.Duration, datetime.timedelta), - "iso-8601": (datetime.datetime), - } - self.dependencies: Dict[str, type] = dict(classes) if classes else {} - self.key_extractors = [rest_key_extractor, xml_key_extractor] - # Additional properties only works if the "rest_key_extractor" is used to - # extract the keys. Making it to work whatever the key extractor is too much - # complicated, with no real scenario for now. - # So adding a flag to disable additional properties detection. This flag should be - # used if your expect the deserialization to NOT come from a JSON REST syntax. - # Otherwise, result are unexpected - self.additional_properties_detection = True - - def __call__(self, target_obj, response_data, content_type=None): - """Call the deserializer to process a REST response. - - :param str target_obj: Target data type to deserialize to. - :param requests.Response response_data: REST response object. - :param str content_type: Swagger "produces" if available. - :raises: DeserializationError if deserialization fails. - :return: Deserialized object. - :rtype: object - """ - data = self._unpack_content(response_data, content_type) - return self._deserialize(target_obj, data) - - def _deserialize(self, target_obj, data): # pylint: disable=inconsistent-return-statements - """Call the deserializer on a model. - - Data needs to be already deserialized as JSON or XML ElementTree - - :param str target_obj: Target data type to deserialize to. - :param object data: Object to deserialize. - :raises: DeserializationError if deserialization fails. - :return: Deserialized object. - :rtype: object - """ - # This is already a model, go recursive just in case - if hasattr(data, "_attribute_map"): - constants = [name for name, config in getattr(data, "_validation", {}).items() if config.get("constant")] - try: - for attr, mapconfig in data._attribute_map.items(): # pylint: disable=protected-access - if attr in constants: - continue - value = getattr(data, attr) - if value is None: - continue - local_type = mapconfig["type"] - internal_data_type = local_type.strip("[]{}") - if internal_data_type not in self.dependencies or isinstance(internal_data_type, Enum): - continue - setattr(data, attr, self._deserialize(local_type, value)) - return data - except AttributeError: - return - - response, class_name = self._classify_target(target_obj, data) - - if isinstance(response, str): - return self.deserialize_data(data, response) - if isinstance(response, type) and issubclass(response, Enum): - return self.deserialize_enum(data, response) - - if data is None or data is CoreNull: - return data - try: - attributes = response._attribute_map # type: ignore # pylint: disable=protected-access - d_attrs = {} - for attr, attr_desc in attributes.items(): - # Check empty string. If it's not empty, someone has a real "additionalProperties"... - if attr == "additional_properties" and attr_desc["key"] == "": - continue - raw_value = None - # Enhance attr_desc with some dynamic data - attr_desc = attr_desc.copy() # Do a copy, do not change the real one - internal_data_type = attr_desc["type"].strip("[]{}") - if internal_data_type in self.dependencies: - attr_desc["internalType"] = self.dependencies[internal_data_type] - - for key_extractor in self.key_extractors: - found_value = key_extractor(attr, attr_desc, data) - if found_value is not None: - if raw_value is not None and raw_value != found_value: - msg = ( - "Ignoring extracted value '%s' from %s for key '%s'" - " (duplicate extraction, follow extractors order)" - ) - _LOGGER.warning(msg, found_value, key_extractor, attr) - continue - raw_value = found_value - - value = self.deserialize_data(raw_value, attr_desc["type"]) - d_attrs[attr] = value - except (AttributeError, TypeError, KeyError) as err: - msg = "Unable to deserialize to object: " + class_name # type: ignore - raise DeserializationError(msg) from err - additional_properties = self._build_additional_properties(attributes, data) - return self._instantiate_model(response, d_attrs, additional_properties) - - def _build_additional_properties(self, attribute_map, data): - if not self.additional_properties_detection: - return None - if "additional_properties" in attribute_map and attribute_map.get("additional_properties", {}).get("key") != "": - # Check empty string. If it's not empty, someone has a real "additionalProperties" - return None - if isinstance(data, ET.Element): - data = {el.tag: el.text for el in data} - - known_keys = { - _decode_attribute_map_key(_FLATTEN.split(desc["key"])[0]) - for desc in attribute_map.values() - if desc["key"] != "" - } - present_keys = set(data.keys()) - missing_keys = present_keys - known_keys - return {key: data[key] for key in missing_keys} - - def _classify_target(self, target, data): - """Check to see whether the deserialization target object can - be classified into a subclass. - Once classification has been determined, initialize object. - - :param str target: The target object type to deserialize to. - :param str/dict data: The response data to deserialize. - :return: The classified target object and its class name. - :rtype: tuple - """ - if target is None: - return None, None - - if isinstance(target, str): - try: - target = self.dependencies[target] - except KeyError: - return target, target - - try: - target = target._classify(data, self.dependencies) # type: ignore # pylint: disable=protected-access - except AttributeError: - pass # Target is not a Model, no classify - return target, target.__class__.__name__ # type: ignore - - def failsafe_deserialize(self, target_obj, data, content_type=None): - """Ignores any errors encountered in deserialization, - and falls back to not deserializing the object. Recommended - for use in error deserialization, as we want to return the - HttpResponseError to users, and not have them deal with - a deserialization error. - - :param str target_obj: The target object type to deserialize to. - :param str/dict data: The response data to deserialize. - :param str content_type: Swagger "produces" if available. - :return: Deserialized object. - :rtype: object - """ - try: - return self(target_obj, data, content_type=content_type) - except: # pylint: disable=bare-except - _LOGGER.debug( - "Ran into a deserialization error. Ignoring since this is failsafe deserialization", exc_info=True - ) - return None - - @staticmethod - def _unpack_content(raw_data, content_type=None): - """Extract the correct structure for deserialization. - - If raw_data is a PipelineResponse, try to extract the result of RawDeserializer. - if we can't, raise. Your Pipeline should have a RawDeserializer. - - If not a pipeline response and raw_data is bytes or string, use content-type - to decode it. If no content-type, try JSON. - - If raw_data is something else, bypass all logic and return it directly. - - :param obj raw_data: Data to be processed. - :param str content_type: How to parse if raw_data is a string/bytes. - :raises JSONDecodeError: If JSON is requested and parsing is impossible. - :raises UnicodeDecodeError: If bytes is not UTF8 - :rtype: object - :return: Unpacked content. - """ - # Assume this is enough to detect a Pipeline Response without importing it - context = getattr(raw_data, "context", {}) - if context: - if RawDeserializer.CONTEXT_NAME in context: - return context[RawDeserializer.CONTEXT_NAME] - raise ValueError("This pipeline didn't have the RawDeserializer policy; can't deserialize") - - # Assume this is enough to recognize universal_http.ClientResponse without importing it - if hasattr(raw_data, "body"): - return RawDeserializer.deserialize_from_http_generics(raw_data.text(), raw_data.headers) - - # Assume this enough to recognize requests.Response without importing it. - if hasattr(raw_data, "_content_consumed"): - return RawDeserializer.deserialize_from_http_generics(raw_data.text, raw_data.headers) - - if isinstance(raw_data, (str, bytes)) or hasattr(raw_data, "read"): - return RawDeserializer.deserialize_from_text(raw_data, content_type) # type: ignore - return raw_data - - def _instantiate_model(self, response, attrs, additional_properties=None): - """Instantiate a response model passing in deserialized args. - - :param Response response: The response model class. - :param dict attrs: The deserialized response attributes. - :param dict additional_properties: Additional properties to be set. - :rtype: Response - :return: The instantiated response model. - """ - if callable(response): - subtype = getattr(response, "_subtype_map", {}) - try: - readonly = [ - k for k, v in response._validation.items() if v.get("readonly") # pylint: disable=protected-access - ] - const = [ - k for k, v in response._validation.items() if v.get("constant") # pylint: disable=protected-access - ] - kwargs = {k: v for k, v in attrs.items() if k not in subtype and k not in readonly + const} - response_obj = response(**kwargs) - for attr in readonly: - setattr(response_obj, attr, attrs.get(attr)) - if additional_properties: - response_obj.additional_properties = additional_properties - return response_obj - except TypeError as err: - msg = "Unable to deserialize {} into model {}. ".format(kwargs, response) # type: ignore - raise DeserializationError(msg + str(err)) from err - else: - try: - for attr, value in attrs.items(): - setattr(response, attr, value) - return response - except Exception as exp: - msg = "Unable to populate response model. " - msg += "Type: {}, Error: {}".format(type(response), exp) - raise DeserializationError(msg) from exp - - def deserialize_data(self, data, data_type): # pylint: disable=too-many-return-statements - """Process data for deserialization according to data type. - - :param str data: The response string to be deserialized. - :param str data_type: The type to deserialize to. - :raises: DeserializationError if deserialization fails. - :return: Deserialized object. - :rtype: object - """ - if data is None: - return data - - try: - if not data_type: - return data - if data_type in self.basic_types.values(): - return self.deserialize_basic(data, data_type) - if data_type in self.deserialize_type: - if isinstance(data, self.deserialize_expected_types.get(data_type, tuple())): - return data - - is_a_text_parsing_type = lambda x: x not in [ # pylint: disable=unnecessary-lambda-assignment - "object", - "[]", - r"{}", - ] - if isinstance(data, ET.Element) and is_a_text_parsing_type(data_type) and not data.text: - return None - data_val = self.deserialize_type[data_type](data) - return data_val - - iter_type = data_type[0] + data_type[-1] - if iter_type in self.deserialize_type: - return self.deserialize_type[iter_type](data, data_type[1:-1]) - - obj_type = self.dependencies[data_type] - if issubclass(obj_type, Enum): - if isinstance(data, ET.Element): - data = data.text - return self.deserialize_enum(data, obj_type) - - except (ValueError, TypeError, AttributeError) as err: - msg = "Unable to deserialize response data." - msg += " Data: {}, {}".format(data, data_type) - raise DeserializationError(msg) from err - return self._deserialize(obj_type, data) - - def deserialize_iter(self, attr, iter_type): - """Deserialize an iterable. - - :param list attr: Iterable to be deserialized. - :param str iter_type: The type of object in the iterable. - :return: Deserialized iterable. - :rtype: list - """ - if attr is None: - return None - if isinstance(attr, ET.Element): # If I receive an element here, get the children - attr = list(attr) - if not isinstance(attr, (list, set)): - raise DeserializationError("Cannot deserialize as [{}] an object of type {}".format(iter_type, type(attr))) - return [self.deserialize_data(a, iter_type) for a in attr] - - def deserialize_dict(self, attr, dict_type): - """Deserialize a dictionary. - - :param dict/list attr: Dictionary to be deserialized. Also accepts - a list of key, value pairs. - :param str dict_type: The object type of the items in the dictionary. - :return: Deserialized dictionary. - :rtype: dict - """ - if isinstance(attr, list): - return {x["key"]: self.deserialize_data(x["value"], dict_type) for x in attr} - - if isinstance(attr, ET.Element): - # Transform value into {"Key": "value"} - attr = {el.tag: el.text for el in attr} - return {k: self.deserialize_data(v, dict_type) for k, v in attr.items()} - - def deserialize_object(self, attr, **kwargs): # pylint: disable=too-many-return-statements - """Deserialize a generic object. - This will be handled as a dictionary. - - :param dict attr: Dictionary to be deserialized. - :return: Deserialized object. - :rtype: dict - :raises: TypeError if non-builtin datatype encountered. - """ - if attr is None: - return None - if isinstance(attr, ET.Element): - # Do no recurse on XML, just return the tree as-is - return attr - if isinstance(attr, str): - return self.deserialize_basic(attr, "str") - obj_type = type(attr) - if obj_type in self.basic_types: - return self.deserialize_basic(attr, self.basic_types[obj_type]) - if obj_type is _long_type: - return self.deserialize_long(attr) - - if obj_type == dict: - deserialized = {} - for key, value in attr.items(): - try: - deserialized[key] = self.deserialize_object(value, **kwargs) - except ValueError: - deserialized[key] = None - return deserialized - - if obj_type == list: - deserialized = [] - for obj in attr: - try: - deserialized.append(self.deserialize_object(obj, **kwargs)) - except ValueError: - pass - return deserialized - - error = "Cannot deserialize generic object with type: " - raise TypeError(error + str(obj_type)) - - def deserialize_basic(self, attr, data_type): # pylint: disable=too-many-return-statements - """Deserialize basic builtin data type from string. - Will attempt to convert to str, int, float and bool. - This function will also accept '1', '0', 'true' and 'false' as - valid bool values. - - :param str attr: response string to be deserialized. - :param str data_type: deserialization data type. - :return: Deserialized basic type. - :rtype: str, int, float or bool - :raises: TypeError if string format is not valid. - """ - # If we're here, data is supposed to be a basic type. - # If it's still an XML node, take the text - if isinstance(attr, ET.Element): - attr = attr.text - if not attr: - if data_type == "str": - # None or '', node is empty string. - return "" - # None or '', node with a strong type is None. - # Don't try to model "empty bool" or "empty int" - return None - - if data_type == "bool": - if attr in [True, False, 1, 0]: - return bool(attr) - if isinstance(attr, str): - if attr.lower() in ["true", "1"]: - return True - if attr.lower() in ["false", "0"]: - return False - raise TypeError("Invalid boolean value: {}".format(attr)) - - if data_type == "str": - return self.deserialize_unicode(attr) - return eval(data_type)(attr) # nosec # pylint: disable=eval-used - - @staticmethod - def deserialize_unicode(data): - """Preserve unicode objects in Python 2, otherwise return data - as a string. - - :param str data: response string to be deserialized. - :return: Deserialized string. - :rtype: str or unicode - """ - # We might be here because we have an enum modeled as string, - # and we try to deserialize a partial dict with enum inside - if isinstance(data, Enum): - return data - - # Consider this is real string - try: - if isinstance(data, unicode): # type: ignore - return data - except NameError: - return str(data) - return str(data) - - @staticmethod - def deserialize_enum(data, enum_obj): - """Deserialize string into enum object. - - If the string is not a valid enum value it will be returned as-is - and a warning will be logged. - - :param str data: Response string to be deserialized. If this value is - None or invalid it will be returned as-is. - :param Enum enum_obj: Enum object to deserialize to. - :return: Deserialized enum object. - :rtype: Enum - """ - if isinstance(data, enum_obj) or data is None: - return data - if isinstance(data, Enum): - data = data.value - if isinstance(data, int): - # Workaround. We might consider remove it in the future. - try: - return list(enum_obj.__members__.values())[data] - except IndexError as exc: - error = "{!r} is not a valid index for enum {!r}" - raise DeserializationError(error.format(data, enum_obj)) from exc - try: - return enum_obj(str(data)) - except ValueError: - for enum_value in enum_obj: - if enum_value.value.lower() == str(data).lower(): - return enum_value - # We don't fail anymore for unknown value, we deserialize as a string - _LOGGER.warning("Deserializer is not able to find %s as valid enum in %s", data, enum_obj) - return Deserializer.deserialize_unicode(data) - - @staticmethod - def deserialize_bytearray(attr): - """Deserialize string into bytearray. - - :param str attr: response string to be deserialized. - :return: Deserialized bytearray - :rtype: bytearray - :raises: TypeError if string format invalid. - """ - if isinstance(attr, ET.Element): - attr = attr.text - return bytearray(b64decode(attr)) # type: ignore - - @staticmethod - def deserialize_base64(attr): - """Deserialize base64 encoded string into string. - - :param str attr: response string to be deserialized. - :return: Deserialized base64 string - :rtype: bytearray - :raises: TypeError if string format invalid. - """ - if isinstance(attr, ET.Element): - attr = attr.text - padding = "=" * (3 - (len(attr) + 3) % 4) # type: ignore - attr = attr + padding # type: ignore - encoded = attr.replace("-", "+").replace("_", "/") - return b64decode(encoded) - - @staticmethod - def deserialize_decimal(attr): - """Deserialize string into Decimal object. - - :param str attr: response string to be deserialized. - :return: Deserialized decimal - :raises: DeserializationError if string format invalid. - :rtype: decimal - """ - if isinstance(attr, ET.Element): - attr = attr.text - try: - return decimal.Decimal(str(attr)) # type: ignore - except decimal.DecimalException as err: - msg = "Invalid decimal {}".format(attr) - raise DeserializationError(msg) from err - - @staticmethod - def deserialize_long(attr): - """Deserialize string into long (Py2) or int (Py3). - - :param str attr: response string to be deserialized. - :return: Deserialized int - :rtype: long or int - :raises: ValueError if string format invalid. - """ - if isinstance(attr, ET.Element): - attr = attr.text - return _long_type(attr) # type: ignore - - @staticmethod - def deserialize_duration(attr): - """Deserialize ISO-8601 formatted string into TimeDelta object. - - :param str attr: response string to be deserialized. - :return: Deserialized duration - :rtype: TimeDelta - :raises: DeserializationError if string format invalid. - """ - if isinstance(attr, ET.Element): - attr = attr.text - try: - duration = isodate.parse_duration(attr) - except (ValueError, OverflowError, AttributeError) as err: - msg = "Cannot deserialize duration object." - raise DeserializationError(msg) from err - return duration - - @staticmethod - def deserialize_date(attr): - """Deserialize ISO-8601 formatted string into Date object. - - :param str attr: response string to be deserialized. - :return: Deserialized date - :rtype: Date - :raises: DeserializationError if string format invalid. - """ - if isinstance(attr, ET.Element): - attr = attr.text - if re.search(r"[^\W\d_]", attr, re.I + re.U): # type: ignore - raise DeserializationError("Date must have only digits and -. Received: %s" % attr) - # This must NOT use defaultmonth/defaultday. Using None ensure this raises an exception. - return isodate.parse_date(attr, defaultmonth=0, defaultday=0) - - @staticmethod - def deserialize_time(attr): - """Deserialize ISO-8601 formatted string into time object. - - :param str attr: response string to be deserialized. - :return: Deserialized time - :rtype: datetime.time - :raises: DeserializationError if string format invalid. - """ - if isinstance(attr, ET.Element): - attr = attr.text - if re.search(r"[^\W\d_]", attr, re.I + re.U): # type: ignore - raise DeserializationError("Date must have only digits and -. Received: %s" % attr) - return isodate.parse_time(attr) - - @staticmethod - def deserialize_rfc(attr): - """Deserialize RFC-1123 formatted string into Datetime object. - - :param str attr: response string to be deserialized. - :return: Deserialized RFC datetime - :rtype: Datetime - :raises: DeserializationError if string format invalid. - """ - if isinstance(attr, ET.Element): - attr = attr.text - try: - parsed_date = email.utils.parsedate_tz(attr) # type: ignore - date_obj = datetime.datetime( - *parsed_date[:6], tzinfo=_FixedOffset(datetime.timedelta(minutes=(parsed_date[9] or 0) / 60)) - ) - if not date_obj.tzinfo: - date_obj = date_obj.astimezone(tz=TZ_UTC) - except ValueError as err: - msg = "Cannot deserialize to rfc datetime object." - raise DeserializationError(msg) from err - return date_obj - - @staticmethod - def deserialize_iso(attr): - """Deserialize ISO-8601 formatted string into Datetime object. - - :param str attr: response string to be deserialized. - :return: Deserialized ISO datetime - :rtype: Datetime - :raises: DeserializationError if string format invalid. - """ - if isinstance(attr, ET.Element): - attr = attr.text - try: - attr = attr.upper() # type: ignore - match = Deserializer.valid_date.match(attr) - if not match: - raise ValueError("Invalid datetime string: " + attr) - - check_decimal = attr.split(".") - if len(check_decimal) > 1: - decimal_str = "" - for digit in check_decimal[1]: - if digit.isdigit(): - decimal_str += digit - else: - break - if len(decimal_str) > 6: - attr = attr.replace(decimal_str, decimal_str[0:6]) - - date_obj = isodate.parse_datetime(attr) - test_utc = date_obj.utctimetuple() - if test_utc.tm_year > 9999 or test_utc.tm_year < 1: - raise OverflowError("Hit max or min date") - except (ValueError, OverflowError, AttributeError) as err: - msg = "Cannot deserialize datetime object." - raise DeserializationError(msg) from err - return date_obj - - @staticmethod - def deserialize_unix(attr): - """Serialize Datetime object into IntTime format. - This is represented as seconds. - - :param int attr: Object to be serialized. - :return: Deserialized datetime - :rtype: Datetime - :raises: DeserializationError if format invalid - """ - if isinstance(attr, ET.Element): - attr = int(attr.text) # type: ignore - try: - attr = int(attr) - date_obj = datetime.datetime.fromtimestamp(attr, TZ_UTC) - except ValueError as err: - msg = "Cannot deserialize to unix datetime object." - raise DeserializationError(msg) from err - return date_obj diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_types.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_types.py deleted file mode 100644 index b2586801fb70..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_types.py +++ /dev/null @@ -1,17 +0,0 @@ -# coding=utf-8 -# pylint: disable=too-many-lines -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -import sys -from typing import Union - -if sys.version_info >= (3, 8): - from typing import Literal # pylint: disable=no-name-in-module, ungrouped-imports -else: - from typing_extensions import Literal # type: ignore # pylint: disable=ungrouped-imports -RepeatabilityResult = Union[Literal["accepted"], Literal["rejected"]] diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_vendor.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_vendor.py deleted file mode 100644 index cea1829f79e3..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_vendor.py +++ /dev/null @@ -1,26 +0,0 @@ -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from abc import ABC -from typing import TYPE_CHECKING - -from ._configuration import RadiologyInsightsClientConfiguration - -if TYPE_CHECKING: - # pylint: disable=unused-import,ungrouped-imports - from azure.core import PipelineClient - - from ._serialization import Deserializer, Serializer - - -class RadiologyInsightsClientMixinABC(ABC): - """DO NOT use this class. It is for internal typing use only.""" - - _client: "PipelineClient" - _config: RadiologyInsightsClientConfiguration - _serialize: "Serializer" - _deserialize: "Deserializer" diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_version.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_version.py deleted file mode 100644 index 83602e6274bc..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/_version.py +++ /dev/null @@ -1,9 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -VERSION = "1.0.1" diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/__init__.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/__init__.py deleted file mode 100644 index 1dcea5894741..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/__init__.py +++ /dev/null @@ -1,19 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from ._patch import RadiologyInsightsClient - - -from ._patch import patch_sdk as _patch_sdk - -__all__ = [ - "RadiologyInsightsClient", -] - - -_patch_sdk() diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_client.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_client.py deleted file mode 100644 index 958b0baba68b..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_client.py +++ /dev/null @@ -1,110 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from copy import deepcopy -from typing import Any, Awaitable, TYPE_CHECKING, Union -from typing_extensions import Self - -from azure.core import AsyncPipelineClient -from azure.core.credentials import AzureKeyCredential -from azure.core.pipeline import policies -from azure.core.rest import AsyncHttpResponse, HttpRequest - -from .._serialization import Deserializer, Serializer -from ._configuration import RadiologyInsightsClientConfiguration -from ._operations import RadiologyInsightsClientOperationsMixin - -if TYPE_CHECKING: - # pylint: disable=unused-import,ungrouped-imports - from azure.core.credentials_async import AsyncTokenCredential - - -class RadiologyInsightsClient( - RadiologyInsightsClientOperationsMixin -): # pylint: disable=client-accepts-api-version-keyword - """RadiologyInsightsClient. - - :param endpoint: Supported Cognitive Services endpoints (protocol and hostname, for example: - https://westus2.api.cognitive.microsoft.com). Required. - :type endpoint: str - :param credential: Credential used to authenticate requests to the service. Is either a - AzureKeyCredential type or a TokenCredential type. Required. - :type credential: ~azure.core.credentials.AzureKeyCredential or - ~azure.core.credentials_async.AsyncTokenCredential - :keyword api_version: The API version to use for this operation. Default value is "2024-04-01". - Note that overriding this default value may result in unsupported behavior. - :paramtype api_version: str - :keyword int polling_interval: Default waiting time between two polls for LRO operations if no - Retry-After header is present. - """ - - def __init__( - self, endpoint: str, credential: Union[AzureKeyCredential, "AsyncTokenCredential"], **kwargs: Any - ) -> None: - _endpoint = "{endpoint}/health-insights" - self._config = RadiologyInsightsClientConfiguration(endpoint=endpoint, credential=credential, **kwargs) - _policies = kwargs.pop("policies", None) - if _policies is None: - _policies = [ - policies.RequestIdPolicy(**kwargs), - self._config.headers_policy, - self._config.user_agent_policy, - self._config.proxy_policy, - policies.ContentDecodePolicy(**kwargs), - self._config.redirect_policy, - self._config.retry_policy, - self._config.authentication_policy, - self._config.custom_hook_policy, - self._config.logging_policy, - policies.DistributedTracingPolicy(**kwargs), - policies.SensitiveHeaderCleanupPolicy(**kwargs) if self._config.redirect_policy else None, - self._config.http_logging_policy, - ] - self._client: AsyncPipelineClient = AsyncPipelineClient(base_url=_endpoint, policies=_policies, **kwargs) - - self._serialize = Serializer() - self._deserialize = Deserializer() - self._serialize.client_side_validation = False - - def send_request( - self, request: HttpRequest, *, stream: bool = False, **kwargs: Any - ) -> Awaitable[AsyncHttpResponse]: - """Runs the network request through the client's chained policies. - - >>> from azure.core.rest import HttpRequest - >>> request = HttpRequest("GET", "https://www.example.org/") - - >>> response = await client.send_request(request) - - - For more information on this code flow, see https://aka.ms/azsdk/dpcodegen/python/send_request - - :param request: The network request you want to make. Required. - :type request: ~azure.core.rest.HttpRequest - :keyword bool stream: Whether the response payload will be streamed. Defaults to False. - :return: The response of your network call. Does not do error handling on your response. - :rtype: ~azure.core.rest.AsyncHttpResponse - """ - - request_copy = deepcopy(request) - path_format_arguments = { - "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), - } - - request_copy.url = self._client.format_url(request_copy.url, **path_format_arguments) - return self._client.send_request(request_copy, stream=stream, **kwargs) # type: ignore - - async def close(self) -> None: - await self._client.close() - - async def __aenter__(self) -> Self: - await self._client.__aenter__() - return self - - async def __aexit__(self, *exc_details: Any) -> None: - await self._client.__aexit__(*exc_details) diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_configuration.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_configuration.py deleted file mode 100644 index b42d868a8896..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_configuration.py +++ /dev/null @@ -1,75 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from typing import Any, TYPE_CHECKING, Union - -from azure.core.credentials import AzureKeyCredential -from azure.core.pipeline import policies - -from .._version import VERSION - -if TYPE_CHECKING: - # pylint: disable=unused-import,ungrouped-imports - from azure.core.credentials_async import AsyncTokenCredential - - -class RadiologyInsightsClientConfiguration: # pylint: disable=too-many-instance-attributes,name-too-long - """Configuration for RadiologyInsightsClient. - - Note that all parameters used to create this instance are saved as instance - attributes. - - :param endpoint: Supported Cognitive Services endpoints (protocol and hostname, for example: - https://westus2.api.cognitive.microsoft.com). Required. - :type endpoint: str - :param credential: Credential used to authenticate requests to the service. Is either a - AzureKeyCredential type or a TokenCredential type. Required. - :type credential: ~azure.core.credentials.AzureKeyCredential or - ~azure.core.credentials_async.AsyncTokenCredential - :keyword api_version: The API version to use for this operation. Default value is "2024-04-01". - Note that overriding this default value may result in unsupported behavior. - :paramtype api_version: str - """ - - def __init__( - self, endpoint: str, credential: Union[AzureKeyCredential, "AsyncTokenCredential"], **kwargs: Any - ) -> None: - api_version: str = kwargs.pop("api_version", "2024-04-01") - - if endpoint is None: - raise ValueError("Parameter 'endpoint' must not be None.") - if credential is None: - raise ValueError("Parameter 'credential' must not be None.") - - self.endpoint = endpoint - self.credential = credential - self.api_version = api_version - self.credential_scopes = kwargs.pop("credential_scopes", ["https://cognitiveservices.azure.com/.default"]) - kwargs.setdefault("sdk_moniker", "healthinsights-radiologyinsights/{}".format(VERSION)) - self.polling_interval = kwargs.get("polling_interval", 30) - self._configure(**kwargs) - - def _infer_policy(self, **kwargs): - if isinstance(self.credential, AzureKeyCredential): - return policies.AzureKeyCredentialPolicy(self.credential, "Ocp-Apim-Subscription-Key", **kwargs) - if hasattr(self.credential, "get_token"): - return policies.AsyncBearerTokenCredentialPolicy(self.credential, *self.credential_scopes, **kwargs) - raise TypeError(f"Unsupported credential: {self.credential}") - - def _configure(self, **kwargs: Any) -> None: - self.user_agent_policy = kwargs.get("user_agent_policy") or policies.UserAgentPolicy(**kwargs) - self.headers_policy = kwargs.get("headers_policy") or policies.HeadersPolicy(**kwargs) - self.proxy_policy = kwargs.get("proxy_policy") or policies.ProxyPolicy(**kwargs) - self.logging_policy = kwargs.get("logging_policy") or policies.NetworkTraceLoggingPolicy(**kwargs) - self.http_logging_policy = kwargs.get("http_logging_policy") or policies.HttpLoggingPolicy(**kwargs) - self.custom_hook_policy = kwargs.get("custom_hook_policy") or policies.CustomHookPolicy(**kwargs) - self.redirect_policy = kwargs.get("redirect_policy") or policies.AsyncRedirectPolicy(**kwargs) - self.retry_policy = kwargs.get("retry_policy") or policies.AsyncRetryPolicy(**kwargs) - self.authentication_policy = kwargs.get("authentication_policy") - if self.credential and not self.authentication_policy: - self.authentication_policy = self._infer_policy(**kwargs) diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_operations/__init__.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_operations/__init__.py deleted file mode 100644 index 24be3b0c64fc..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_operations/__init__.py +++ /dev/null @@ -1,19 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from ._operations import RadiologyInsightsClientOperationsMixin - -from ._patch import __all__ as _patch_all -from ._patch import * # pylint: disable=unused-wildcard-import -from ._patch import patch_sdk as _patch_sdk - -__all__ = [ - "RadiologyInsightsClientOperationsMixin", -] -__all__.extend([p for p in _patch_all if p not in __all__]) -_patch_sdk() diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_operations/_operations.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_operations/_operations.py deleted file mode 100644 index edcb1f1d5894..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_operations/_operations.py +++ /dev/null @@ -1,291 +0,0 @@ -# pylint: disable=too-many-lines,too-many-statements -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- -from io import IOBase -import json -import sys -from typing import Any, AsyncIterator, Callable, Dict, IO, List, Optional, Type, TypeVar, Union, cast, overload - -from azure.core.exceptions import ( - ClientAuthenticationError, - HttpResponseError, - ResourceExistsError, - ResourceNotFoundError, - ResourceNotModifiedError, - StreamClosedError, - StreamConsumedError, - map_error, -) -from azure.core.pipeline import PipelineResponse -from azure.core.polling import AsyncLROPoller, AsyncNoPolling, AsyncPollingMethod -from azure.core.polling.async_base_polling import AsyncLROBasePolling -from azure.core.rest import AsyncHttpResponse, HttpRequest -from azure.core.tracing.decorator_async import distributed_trace_async -from azure.core.utils import case_insensitive_dict - -from ... import models as _models -from ..._model_base import SdkJSONEncoder, _deserialize -from ..._operations._operations import build_radiology_insights_infer_radiology_insights_request -from .._vendor import RadiologyInsightsClientMixinABC - -if sys.version_info >= (3, 9): - from collections.abc import MutableMapping -else: - from typing import MutableMapping # type: ignore # pylint: disable=ungrouped-imports -JSON = MutableMapping[str, Any] # pylint: disable=unsubscriptable-object -T = TypeVar("T") -ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]] - - -class RadiologyInsightsClientOperationsMixin(RadiologyInsightsClientMixinABC): - - async def _infer_radiology_insights_initial( - self, - id: str, - resource: Union[_models.RadiologyInsightsJob, JSON, IO[bytes]], - *, - expand: Optional[List[str]] = None, - **kwargs: Any - ) -> AsyncIterator[bytes]: - error_map: MutableMapping[int, Type[HttpResponseError]] = { # pylint: disable=unsubscriptable-object - 401: ClientAuthenticationError, - 404: ResourceNotFoundError, - 409: ResourceExistsError, - 304: ResourceNotModifiedError, - } - error_map.update(kwargs.pop("error_map", {}) or {}) - - _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) - _params = kwargs.pop("params", {}) or {} - - content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) - cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None) - - content_type = content_type or "application/json" - _content = None - if isinstance(resource, (IOBase, bytes)): - _content = resource - else: - _content = json.dumps(resource, cls=SdkJSONEncoder, exclude_readonly=True) # type: ignore - - _request = build_radiology_insights_infer_radiology_insights_request( - id=id, - expand=expand, - content_type=content_type, - api_version=self._config.api_version, - content=_content, - headers=_headers, - params=_params, - ) - path_format_arguments = { - "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), - } - _request.url = self._client.format_url(_request.url, **path_format_arguments) - - _stream = True - pipeline_response: PipelineResponse = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access - _request, stream=_stream, **kwargs - ) - - response = pipeline_response.http_response - - if response.status_code not in [200, 201]: - try: - await response.read() # Load the body in memory and close the socket - except (StreamConsumedError, StreamClosedError): - pass - map_error(status_code=response.status_code, response=response, error_map=error_map) - error = _deserialize(_models.HealthInsightsErrorResponse, response.json()) - raise HttpResponseError(response=response, model=error) - - response_headers = {} - response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id")) - response_headers["Operation-Location"] = self._deserialize("str", response.headers.get("Operation-Location")) - - deserialized = response.iter_bytes() - - if cls: - return cls(pipeline_response, deserialized, response_headers) # type: ignore - - return deserialized # type: ignore - - @overload - async def begin_infer_radiology_insights( - self, - id: str, - resource: _models.RadiologyInsightsJob, - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> AsyncLROPoller[_models.RadiologyInsightsJob]: - """Create Radiology Insights job. - - Creates a Radiology Insights job with the given request body. - - :param id: The unique ID of the job. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. - Default value is "application/json". - :paramtype content_type: str - :return: An instance of AsyncLROPoller that returns RadiologyInsightsJob. The - RadiologyInsightsJob is compatible with MutableMapping - :rtype: - ~azure.core.polling.AsyncLROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob] - :raises ~azure.core.exceptions.HttpResponseError: - """ - - @overload - async def begin_infer_radiology_insights( - self, - id: str, - resource: JSON, - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> AsyncLROPoller[_models.RadiologyInsightsJob]: - """Create Radiology Insights job. - - Creates a Radiology Insights job with the given request body. - - :param id: The unique ID of the job. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: JSON - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. - Default value is "application/json". - :paramtype content_type: str - :return: An instance of AsyncLROPoller that returns RadiologyInsightsJob. The - RadiologyInsightsJob is compatible with MutableMapping - :rtype: - ~azure.core.polling.AsyncLROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob] - :raises ~azure.core.exceptions.HttpResponseError: - """ - - @overload - async def begin_infer_radiology_insights( - self, - id: str, - resource: IO[bytes], - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> AsyncLROPoller[_models.RadiologyInsightsJob]: - """Create Radiology Insights job. - - Creates a Radiology Insights job with the given request body. - - :param id: The unique ID of the job. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: IO[bytes] - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for binary body. - Default value is "application/json". - :paramtype content_type: str - :return: An instance of AsyncLROPoller that returns RadiologyInsightsJob. The - RadiologyInsightsJob is compatible with MutableMapping - :rtype: - ~azure.core.polling.AsyncLROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob] - :raises ~azure.core.exceptions.HttpResponseError: - """ - - @distributed_trace_async - async def begin_infer_radiology_insights( - self, - id: str, - resource: Union[_models.RadiologyInsightsJob, JSON, IO[bytes]], - *, - expand: Optional[List[str]] = None, - **kwargs: Any - ) -> AsyncLROPoller[_models.RadiologyInsightsJob]: - """Create Radiology Insights job. - - Creates a Radiology Insights job with the given request body. - - :param id: The unique ID of the job. Required. - :type id: str - :param resource: The resource instance. Is one of the following types: RadiologyInsightsJob, - JSON, IO[bytes] Required. - :type resource: ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob or JSON or - IO[bytes] - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :return: An instance of AsyncLROPoller that returns RadiologyInsightsJob. The - RadiologyInsightsJob is compatible with MutableMapping - :rtype: - ~azure.core.polling.AsyncLROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob] - :raises ~azure.core.exceptions.HttpResponseError: - """ - _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) - _params = kwargs.pop("params", {}) or {} - - content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) - cls: ClsType[_models.RadiologyInsightsJob] = kwargs.pop("cls", None) - polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True) - lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) - cont_token: Optional[str] = kwargs.pop("continuation_token", None) - if cont_token is None: - raw_result = await self._infer_radiology_insights_initial( - id=id, - resource=resource, - expand=expand, - content_type=content_type, - cls=lambda x, y, z: x, - headers=_headers, - params=_params, - **kwargs - ) - await raw_result.http_response.read() # type: ignore - kwargs.pop("error_map", None) - - def get_long_running_output(pipeline_response): - response_headers = {} - response = pipeline_response.http_response - response_headers["x-ms-request-id"] = self._deserialize("str", response.headers.get("x-ms-request-id")) - response_headers["Operation-Location"] = self._deserialize( - "str", response.headers.get("Operation-Location") - ) - - deserialized = _deserialize(_models.RadiologyInsightsJob, response.json().get("result")) - if cls: - return cls(pipeline_response, deserialized, response_headers) # type: ignore - return deserialized - - path_format_arguments = { - "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, "str", skip_quote=True), - } - - if polling is True: - polling_method: AsyncPollingMethod = cast( - AsyncPollingMethod, - AsyncLROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs), - ) - elif polling is False: - polling_method = cast(AsyncPollingMethod, AsyncNoPolling()) - else: - polling_method = polling - if cont_token: - return AsyncLROPoller[_models.RadiologyInsightsJob].from_continuation_token( - polling_method=polling_method, - continuation_token=cont_token, - client=self._client, - deserialization_callback=get_long_running_output, - ) - return AsyncLROPoller[_models.RadiologyInsightsJob]( - self._client, raw_result, get_long_running_output, polling_method # type: ignore - ) diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_operations/_patch.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_operations/_patch.py deleted file mode 100644 index 455941122974..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_operations/_patch.py +++ /dev/null @@ -1,21 +0,0 @@ -# ------------------------------------ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. -# ------------------------------------ -"""Customize generated code here. - -Follow our quickstart for examples: https://aka.ms/azsdk/python/dpcodegen/python/customize -""" - -from typing import List - -__all__: List[str] = [] # Add all objects you want publicly available to users at this package level - - -def patch_sdk(): - """Do not remove from this file. - - `patch_sdk` is a last resort escape hatch that allows you to do customizations - you can't accomplish using the techniques described in - https://aka.ms/azsdk/python/dpcodegen/python/customize - """ diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_patch.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_patch.py deleted file mode 100644 index 1a00f5c523e0..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_patch.py +++ /dev/null @@ -1,287 +0,0 @@ -# pylint: disable=too-many-lines, protected-access -# ------------------------------------ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. -# ------------------------------------ -"""Customize generated code here. - -Follow our quickstart for examples: https://aka.ms/azsdk/python/dpcodegen/python/customize -""" -from typing import ( - Any, - Callable, - Dict, - IO, - TYPE_CHECKING, - List, - Optional, - Awaitable, - TypeVar, - Union, - cast, - overload, - MutableMapping, -) # pylint: disable=line-too-long - -from azure.core.pipeline import PipelineResponse -from azure.core.credentials import AzureKeyCredential -from azure.core.polling import AsyncLROPoller, AsyncPollingMethod, AsyncNoPolling -from azure.core.polling.async_base_polling import AsyncLROBasePolling -from azure.core.rest import AsyncHttpResponse, HttpRequest -from azure.core.tracing.decorator_async import distributed_trace_async -from azure.core.utils import case_insensitive_dict - -from ._client import RadiologyInsightsClient as _RadiologyInsightsClient -from .._model_base import _deserialize -from .. import models as _models - - -JSON = MutableMapping[str, Any] # pylint: disable=unsubscriptable-object -T = TypeVar("T") -ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]] - -if TYPE_CHECKING: - # pylint: disable=unused-import,ungrouped-imports - from azure.core.credentials_async import AsyncTokenCredential - - -class RadiologyInsightsClient: # pylint: disable=client-accepts-api-version-keyword - """RadiologyInsightsClient. - - :param endpoint: Supported Cognitive Services endpoints (protocol and hostname, for example: - https://westus2.api.cognitive.microsoft.com). Required. - :type endpoint: str - :param credential: Credential used to authenticate requests to the service. Is either a - AzureKeyCredential type or a TokenCredential type. Required. - :type credential: ~azure.core.credentials.AzureKeyCredential or - ~azure.core.credentials_async.AsyncTokenCredential - :keyword api_version: The API version to use for this operation. Default value is "2024-04-01". - Note that overriding this default value may result in unsupported behavior. - :paramtype api_version: str - :keyword int polling_interval: Default waiting time between two polls for LRO operations if no - Retry-After header is present. - """ - - def __init__( - self, endpoint: str, credential: Union[AzureKeyCredential, "AsyncTokenCredential"], **kwargs: Any - ) -> None: # pylint: disable=line-too-long - self._client = _RadiologyInsightsClient(endpoint=endpoint, credential=credential, **kwargs) - - @overload # type: ignore[override] - async def begin_infer_radiology_insights( - self, - id: str, - resource: _models.RadiologyInsightsJob, - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> AsyncLROPoller[_models.RadiologyInsightsInferenceResult]: - # pylint: disable=line-too-long - """Create Radiology Insights inference result. - - Creates a Radiology Insights inference result with the given request body. - - :param id: The unique ID of the inference result. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". - :paramtype content_type: str - :return: An instance of AsyncLROPoller that returns RadiologyInsightsInferenceResult. The RadiologyInsightsInferenceResult is compatible with MutableMapping - :rtype: ~azure.core.polling.AsyncLROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceResult] - :raises ~azure.core.exceptions.HttpResponseError:""" - - @overload # type: ignore[override] - async def begin_infer_radiology_insights( - self, - id: str, - resource: JSON, - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> AsyncLROPoller[_models.RadiologyInsightsInferenceResult]: - # pylint: disable=line-too-long - """Create Radiology Insights inference result. - - Creates a Radiology Insights inference result with the given request body. - - :param id: The unique ID of the inference result. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: JSON - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". - :paramtype content_type: str - :return: An instance of AsyncLROPoller that returns RadiologyInsightsInferenceResult. The RadiologyInsightsInferenceResult is compatible with MutableMapping - :rtype: ~azure.core.polling.AsyncLROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceResult] - :raises ~azure.core.exceptions.HttpResponseError: - """ - - @overload # type: ignore[override] - async def begin_infer_radiology_insights( - self, - id: str, - resource: IO[bytes], - *, - expand: Optional[List[str]] = None, - content_type: str = "application/json", - **kwargs: Any - ) -> AsyncLROPoller[_models.RadiologyInsightsInferenceResult]: - # pylint: disable=line-too-long - """Create Radiology Insights inference result. - - Creates a Radiology Insights inference result with the given request body. - - :param id: The unique ID of the inference result. Required. - :type id: str - :param resource: The resource instance. Required. - :type resource: IO[bytes] - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". - :paramtype content_type: str - :return: An instance of AsyncLROPoller that returns RadiologyInsightsInferenceResult. The RadiologyInsightsInferenceResult is compatible with MutableMapping - :rtype: ~azure.core.polling.AsyncLROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceResult] - :raises ~azure.core.exceptions.HttpResponseError: - """ - - @distributed_trace_async # type: ignore[override] - async def begin_infer_radiology_insights( - self, - id: str, - resource: Union[_models.RadiologyInsightsJob, JSON, IO[bytes]], - *, - expand: Optional[List[str]] = None, - **kwargs: Any - ) -> AsyncLROPoller[_models.RadiologyInsightsInferenceResult]: - # pylint: disable=line-too-long - """Create Radiology Insights inference result. - - Creates a Radiology Insights inference result with the given request body. - - :param id: The unique ID of the inference result. Required. - :type id: str - :param resource: The resource instance. Is one of the following types: RadiologyInsightsJob, JSON, IO[bytes] Required. - :type resource: ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsJob or JSON or IO[bytes] - :keyword expand: Expand the indicated resources into the response. Default value is None. - :paramtype expand: list[str] - :return: An instance of AsyncLROPoller that returns RadiologyInsightsInferenceResult. The RadiologyInsightsInferenceResult is compatible with MutableMapping - :rtype: ~azure.core.polling.AsyncLROPoller[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceResult] - :raises ~azure.core.exceptions.HttpResponseError: - - """ - - _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) - _params = kwargs.pop("params", {}) or {} - - content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) - cls: ClsType[_models.RadiologyInsightsJob] = kwargs.pop("cls", None) - polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True) - lro_delay = kwargs.pop( - "polling_interval", self._client._config.polling_interval - ) # pylint: disable=protected-access - cont_token: Optional[str] = kwargs.pop("continuation_token", None) - if cont_token is None: - raw_result = await self._client._infer_radiology_insights_initial( # pylint: disable=protected-access - id=id, - resource=resource, - expand=expand, - content_type=content_type, - cls=lambda x, y, z: x, - headers=_headers, - params=_params, - **kwargs - ) - kwargs.pop("error_map", None) - - def get_long_running_output(pipeline_response): - response_headers = {} - response = pipeline_response.http_response - response_headers["x-ms-request-id"] = self._client._deserialize( - "str", response.headers.get("x-ms-request-id") - ) # pylint: disable=protected-access - response_headers["Operation-Location"] = self._client._deserialize( - "str", response.headers.get("Operation-Location") - ) # pylint: disable=protected-access - deserialized = _deserialize(_models.RadiologyInsightsInferenceResult, response.json().get("result")) - if cls: - return cls(pipeline_response, deserialized, response_headers) # type: ignore - return deserialized - - path_format_arguments = { - "endpoint": self._client._serialize.url( - "self._client._config.endpoint", self._client._config.endpoint, "str", skip_quote=True - ), # pylint: disable=protected-access - } - - if polling is True: - polling_method: AsyncPollingMethod = cast( - AsyncPollingMethod, - AsyncLROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs), - ) - elif polling is False: - polling_method = cast(AsyncPollingMethod, AsyncNoPolling()) - else: - polling_method = polling - if cont_token: - return AsyncLROPoller[_models.RadiologyInsightsInferenceResult].from_continuation_token( - polling_method=polling_method, - continuation_token=cont_token, - client=self._client, - deserialization_callback=get_long_running_output, - ) - - return AsyncLROPoller[_models.RadiologyInsightsInferenceResult]( - self._client._client, raw_result, get_long_running_output, polling_method # type: ignore # pylint: disable=protected-access - ) - - def send_request( - self, request: HttpRequest, *, stream: bool = False, **kwargs: Any - ) -> Awaitable[AsyncHttpResponse]: - """Runs the network request through the client's chained policies. - - >>> from azure.core.rest import HttpRequest - >>> request = HttpRequest("GET", "https://www.example.org/") - - >>> response = await client.send_request(request) - - - For more information on this code flow, see https://aka.ms/azsdk/dpcodegen/python/send_request - - :param request: The network request you want to make. Required. - :type request: ~azure.core.rest.HttpRequest - :keyword bool stream: Whether the response payload will be streamed. Defaults to False. - :return: The response of your network call. Does not do error handling on your response. - :rtype: ~azure.core.rest.AsyncHttpResponse - """ - - return self._client.send_request(request, stream=stream, **kwargs) # type: ignore - - async def close(self) -> None: - await self._client.close() - - async def __aenter__(self) -> "RadiologyInsightsClient": - await self._client.__aenter__() - return self - - async def __aexit__(self, *exc_details: Any) -> None: - await self._client.__aexit__(*exc_details) - - -__all__: List[str] = [ - "RadiologyInsightsClient" -] # Add all objects you want publicly available to users at this package level - - -def patch_sdk(): - """Do not remove from this file. - - `patch_sdk` is a last resort escape hatch that allows you to do customizations - you can't accomplish using the techniques described in - https://aka.ms/azsdk/python/dpcodegen/python/customize - """ diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_vendor.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_vendor.py deleted file mode 100644 index e2c3b938b89d..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/aio/_vendor.py +++ /dev/null @@ -1,26 +0,0 @@ -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from abc import ABC -from typing import TYPE_CHECKING - -from ._configuration import RadiologyInsightsClientConfiguration - -if TYPE_CHECKING: - # pylint: disable=unused-import,ungrouped-imports - from azure.core import AsyncPipelineClient - - from .._serialization import Deserializer, Serializer - - -class RadiologyInsightsClientMixinABC(ABC): - """DO NOT use this class. It is for internal typing use only.""" - - _client: "AsyncPipelineClient" - _config: RadiologyInsightsClientConfiguration - _serialize: "Serializer" - _deserialize: "Deserializer" diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/__init__.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/__init__.py deleted file mode 100644 index 0d91f6e06980..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/__init__.py +++ /dev/null @@ -1,157 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from ._models import AgeMismatchInference -from ._models import Annotation -from ._models import CodeableConcept -from ._models import Coding -from ._models import CompleteOrderDiscrepancyInference -from ._models import CriticalResult -from ._models import CriticalResultInference -from ._models import DocumentAdministrativeMetadata -from ._models import DocumentAuthor -from ._models import DocumentContent -from ._models import DomainResource -from ._models import Element -from ._models import Extension -from ._models import FindingInference -from ._models import FindingOptions -from ._models import FollowupCommunicationInference -from ._models import FollowupRecommendationInference -from ._models import FollowupRecommendationOptions -from ._models import GenericProcedureRecommendation -from ._models import HealthInsightsErrorResponse -from ._models import Identifier -from ._models import ImagingProcedure -from ._models import ImagingProcedureRecommendation -from ._models import LateralityDiscrepancyInference -from ._models import LimitedOrderDiscrepancyInference -from ._models import Meta -from ._models import Narrative -from ._models import Observation -from ._models import ObservationComponent -from ._models import ObservationReferenceRange -from ._models import OrderedProcedure -from ._models import PatientDetails -from ._models import PatientDocument -from ._models import PatientEncounter -from ._models import PatientRecord -from ._models import Period -from ._models import ProcedureRecommendation -from ._models import Quantity -from ._models import RadiologyCodeWithTypes -from ._models import RadiologyInsightsData -from ._models import RadiologyInsightsInference -from ._models import RadiologyInsightsInferenceOptions -from ._models import RadiologyInsightsInferenceResult -from ._models import RadiologyInsightsJob -from ._models import RadiologyInsightsModelConfiguration -from ._models import RadiologyInsightsPatientResult -from ._models import RadiologyProcedureInference -from ._models import Range -from ._models import Ratio -from ._models import RecommendationFinding -from ._models import Reference -from ._models import Resource -from ._models import SampledData -from ._models import SexMismatchInference -from ._models import TimePeriod - -from ._enums import ClinicalDocumentType -from ._enums import ContactPointSystem -from ._enums import ContactPointUse -from ._enums import DocumentContentSourceType -from ._enums import DocumentType -from ._enums import EncounterClass -from ._enums import JobStatus -from ._enums import LateralityDiscrepancyType -from ._enums import MedicalProfessionalType -from ._enums import ObservationStatusCodeType -from ._enums import PatientSex -from ._enums import RadiologyInsightsInferenceType -from ._enums import RecommendationFindingStatusType -from ._enums import ResearchStudyStatusCodeType -from ._enums import SpecialtyType -from ._patch import __all__ as _patch_all -from ._patch import * # pylint: disable=unused-wildcard-import -from ._patch import patch_sdk as _patch_sdk - -__all__ = [ - "AgeMismatchInference", - "Annotation", - "CodeableConcept", - "Coding", - "CompleteOrderDiscrepancyInference", - "CriticalResult", - "CriticalResultInference", - "DocumentAdministrativeMetadata", - "DocumentAuthor", - "DocumentContent", - "DomainResource", - "Element", - "Extension", - "FindingInference", - "FindingOptions", - "FollowupCommunicationInference", - "FollowupRecommendationInference", - "FollowupRecommendationOptions", - "GenericProcedureRecommendation", - "HealthInsightsErrorResponse", - "Identifier", - "ImagingProcedure", - "ImagingProcedureRecommendation", - "LateralityDiscrepancyInference", - "LimitedOrderDiscrepancyInference", - "Meta", - "Narrative", - "Observation", - "ObservationComponent", - "ObservationReferenceRange", - "OrderedProcedure", - "PatientDetails", - "PatientDocument", - "PatientEncounter", - "PatientRecord", - "Period", - "ProcedureRecommendation", - "Quantity", - "RadiologyCodeWithTypes", - "RadiologyInsightsData", - "RadiologyInsightsInference", - "RadiologyInsightsInferenceOptions", - "RadiologyInsightsInferenceResult", - "RadiologyInsightsJob", - "RadiologyInsightsModelConfiguration", - "RadiologyInsightsPatientResult", - "RadiologyProcedureInference", - "Range", - "Ratio", - "RecommendationFinding", - "Reference", - "Resource", - "SampledData", - "SexMismatchInference", - "TimePeriod", - "ClinicalDocumentType", - "ContactPointSystem", - "ContactPointUse", - "DocumentContentSourceType", - "DocumentType", - "EncounterClass", - "JobStatus", - "LateralityDiscrepancyType", - "MedicalProfessionalType", - "ObservationStatusCodeType", - "PatientSex", - "RadiologyInsightsInferenceType", - "RecommendationFindingStatusType", - "ResearchStudyStatusCodeType", - "SpecialtyType", -] -__all__.extend([p for p in _patch_all if p not in __all__]) -_patch_sdk() diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/_enums.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/_enums.py deleted file mode 100644 index b0d874d8dc4e..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/_enums.py +++ /dev/null @@ -1,265 +0,0 @@ -# coding=utf-8 -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -from enum import Enum -from azure.core import CaseInsensitiveEnumMeta - - -class ClinicalDocumentType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """The type of the clinical document.""" - - CONSULTATION = "consultation" - DISCHARGE_SUMMARY = "dischargeSummary" - HISTORY_AND_PHYSICAL = "historyAndPhysical" - RADIOLOGY_REPORT = "radiologyReport" - PROCEDURE = "procedure" - PROGRESS = "progress" - LABORATORY = "laboratory" - PATHOLOGY_REPORT = "pathologyReport" - - -class ContactPointSystem(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """Contact Point System - see https://www.hl7.org/fhir/R4/valueset-contact-point-system.html. - """ - - PHONE = "phone" - """Phone""" - FAX = "fax" - """Fax""" - EMAIL = "email" - """Email""" - PAGER = "pager" - """Pager""" - URL = "url" - """Url""" - SMS = "sms" - """Sms""" - OTHER = "other" - """Other""" - - -class ContactPointUse(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """Contact Point Use - See: http://hl7.org/fhir/ValueSet/contact-point-use. - """ - - HOME = "home" - """Home""" - WORK = "work" - """Work""" - TEMP = "temp" - """Temp""" - OLD = "old" - """Old""" - MOBILE = "mobile" - """Mobile""" - - -class DocumentContentSourceType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """The type of the content's source. - In case the source type is 'inline', the content is given as a string (for instance, text). - In case the source type is 'reference', the content is given as a URI. - """ - - INLINE = "inline" - """The content is given as a string (for instance, text).""" - REFERENCE = "reference" - """The content is given as a URI.""" - - -class DocumentType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """The type of the patient document, such as 'note' (text document) or 'fhirBundle' (FHIR JSON - document). - """ - - NOTE = "note" - FHIR_BUNDLE = "fhirBundle" - DICOM = "dicom" - GENOMIC_SEQUENCING = "genomicSequencing" - - -class EncounterClass(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """Known values codes that can be used to indicate the class of encounter (TODO://Based on FHIR - value set--http://....). - """ - - IN_PATIENT = "inpatient" - """A patient encounter where a patient is admitted by a hospital or equivalent facility, assigned - to a location where patients generally stay at least overnight and provided with room, board, - and continuous nursing service.""" - AMBULATORY = "ambulatory" - """The term ambulatory usually implies that the patient has come to the location and is not - assigned to a bed. Sometimes referred to as an outpatient encounter.""" - OBSERVATION = "observation" - """An encounter where the patient usually will start in different encounter, such as one in the - emergency department but then transition to this type of encounter because they require a - significant period of treatment and monitoring to determine whether or not their condition - warrants an inpatient admission or discharge.""" - EMERGENCY = "emergency" - """A patient encounter that takes place at a dedicated healthcare service delivery location where - the patient receives immediate evaluation and treatment, provided until the patient can be - discharged or responsibility for the patient's care is transferred elsewhere (for example, the - patient could be admitted as an inpatient or transferred to another facility.""" - VIRTUAL = "virtual" - """A patient encounter where the patient is not physically present for the encounter, such as in a - telehealth encounter, phone call, or electronic communication.""" - HEALTH_HOME = "healthHome" - """Healthcare encounter that takes place in the residence of the patient or a designee""" - - -class JobStatus(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """The status of the processing job.""" - - NOT_STARTED = "notStarted" - RUNNING = "running" - SUCCEEDED = "succeeded" - FAILED = "failed" - CANCELED = "canceled" - - -class LateralityDiscrepancyType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """Laterality discrepancy type.""" - - ORDER_LATERALITY_MISMATCH = "orderLateralityMismatch" - """Mismatch between order and text""" - TEXT_LATERALITY_CONTRADICTION = "textLateralityContradiction" - """Contradiction in text""" - TEXT_LATERALITY_MISSING = "textLateralityMissing" - """Missing laterality in text""" - - -class MedicalProfessionalType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """Medical Professional Type.""" - - UNKNOWN = "unknown" - """Unknown medical professional type""" - DOCTOR = "doctor" - """Doctor medical professional type""" - NURSE = "nurse" - """Nurse medical professional type""" - MIDWIFE = "midwife" - """Technician medical professional type""" - PHYSICIAN_ASSISTANT = "physicianAssistant" - """Technician medical professional type""" - - -class ObservationStatusCodeType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """Observation Status - Based on `FHIR ObservationStatus - `_. - """ - - REGISTERED = "registered" - """The existence of the observation is registered, but there is no result yet available.""" - PRELIMINARY = "preliminary" - """This is an initial or interim observation: data may be incomplete or unverified.""" - FINAL = "final" - """The observation is complete and verified by an authorized person.""" - AMENDED = "amended" - """Subsequent to being Final, the observation has been modified subsequent. This includes - updates/new information and corrections.""" - CORRECTED = "corrected" - """Subsequent to being Final, the observation has been modified to correct an error in the test - result.""" - CANCELLED = "cancelled" - """The observation is unavailable because the measurement was not started or not completed (also - sometimes called "aborted").""" - ENTERED_IN_ERROR = "entered-in-error" - """The observation has been withdrawn following previous final release.""" - UNKNOWN = "unknown" - """The observation status is unknown. Note that "unknown" is a value of last resort and every - attempt should be made to provide a meaningful value other than "unknown".""" - - -class PatientSex(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """The patient's sex.""" - - FEMALE = "female" - MALE = "male" - UNSPECIFIED = "unspecified" - - -class RadiologyInsightsInferenceType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """A Radiology Insights inference types.""" - - AGE_MISMATCH = "ageMismatch" - """Age mismatch inference type""" - LATERALITY_DISCREPANCY = "lateralityDiscrepancy" - """Laterality discrepancy inference type""" - SEX_MISMATCH = "sexMismatch" - """Sex mismatch inference type""" - COMPLETE_ORDER_DISCREPANCY = "completeOrderDiscrepancy" - """Complete order discrepancy inference type""" - LIMITED_ORDER_DISCREPANCY = "limitedOrderDiscrepancy" - """Limited order discrepancy inference type""" - FINDING = "finding" - """Finding inference type""" - CRITICAL_RESULT = "criticalResult" - """Critical finding inference type""" - FOLLOWUP_RECOMMENDATION = "followupRecommendation" - """Recommendation inference type""" - FOLLOWUP_COMMUNICATION = "followupCommunication" - """Followup Communication inference type""" - RADIOLOGY_PROCEDURE = "radiologyProcedure" - """Radiology Procedure inference type""" - - -class RecommendationFindingStatusType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """Recommendation finding status.""" - - PRESENT = "present" - """Present finding status""" - DIFFERENTIAL = "differential" - """Differential finding status""" - RULE_OUT = "ruleOut" - """Rule out finding status""" - CONDITIONAL = "conditional" - """Conditional finding status""" - - -class ResearchStudyStatusCodeType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """https://www.hl7.org/fhir/R4/codesystem-research-study-status.html.""" - - ACTIVE = "active" - """The study is open for accrual.""" - ADMINISTRATIVELY_COMPLETED = "administratively-completed" - """Study is completed prematurely and will not resume; patients are no longer examined nor - treated.""" - APPROVED = "approved" - """Protocol is approved by the review board.""" - CLOSED_TO_ACCRUAL = "closed-to-accrual" - """Study is closed for accrual; patients can be examined and treated.""" - CLOSED_TO_ACCRUAL_AND_INTERVENTION = "closed-to-accrual-and-intervention" - """The study is closed to accrual and intervention, i.e. the study is closed to enrollment, all - study subjects have completed treatment or intervention but are still being followed according - to the primary objective of the study.""" - COMPLETED = "completed" - """Study is closed to accrual and intervention, i.e. the study is closed to enrollment, all study - subjects have completed treatment or intervention but are still being followed according to the - primary objective of the study.""" - DISAPPROVED = "disapproved" - """Protocol was disapproved by the review board.""" - IN_REVIEW = "in-review" - """Protocol is submitted to the review board for approval.""" - TEMPORARILY_CLOSED_TO_ACCRUAL = "temporarily-closed-to-accrual" - """The study is temporarily closed to accrual; a pause in accrual while study is reviewed, but is - expected to resume.""" - TEMPORARILY_CLOSED_TO_ACCRUAL_AND_INTERVENTION = "temporarily-closed-to-accrual-and-intervention" - """Study is temporarily closed for accrual; can be potentially resumed in the future""" - WITHDRAWN = "withdrawn" - """Protocol was withdrawn by the lead organization.""" - - -class SpecialtyType(str, Enum, metaclass=CaseInsensitiveEnumMeta): - """Known values codes that can be used to indicate the type of the Specialty.""" - - PATHOLOGY = "pathology" - """pathology""" - RADIOLOGY = "radiology" - """radiology""" diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/_models.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/_models.py deleted file mode 100644 index 5394f78299e0..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/_models.py +++ /dev/null @@ -1,2816 +0,0 @@ -# coding=utf-8 -# pylint: disable=too-many-lines, line-too-long -# -------------------------------------------------------------------------- -# Copyright (c) Microsoft Corporation. All rights reserved. -# Licensed under the MIT License. See License.txt in the project root for license information. -# Code generated by Microsoft (R) Python Code Generator. -# Changes may cause incorrect behavior and will be lost if the code is regenerated. -# -------------------------------------------------------------------------- - -import datetime -from typing import Any, Dict, List, Literal, Mapping, Optional, TYPE_CHECKING, Union, overload - -from azure.core.exceptions import HttpResponseError - -from .. import _model_base -from .._model_base import rest_discriminator, rest_field -from ._enums import RadiologyInsightsInferenceType - -if TYPE_CHECKING: - # pylint: disable=unused-import,ungrouped-imports - from .. import models as _models - - -class RadiologyInsightsInference(_model_base.Model): - """An inference made by the Radiology Insights model regarding a patient. - - - * AgeMismatch - * SexMismatch - * LateralityDiscrepancy - * CompleteOrderDiscrepancy - * LimitedOrderDiscrepancy - * Finding - * CriticalResult - * FollowupRecommendation - * RadiologyProcedure - * FollowupCommunication. - - You probably want to use the sub-classes and not this class directly. Known sub-classes are: - AgeMismatchInference, CompleteOrderDiscrepancyInference, CriticalResultInference, - FindingInference, FollowupCommunicationInference, FollowupRecommendationInference, - LateralityDiscrepancyInference, LimitedOrderDiscrepancyInference, RadiologyProcedureInference, - SexMismatchInference - - - :ivar kind: Discriminator property for RadiologyInsightsInference. Required. Known values are: - "ageMismatch", "lateralityDiscrepancy", "sexMismatch", "completeOrderDiscrepancy", - "limitedOrderDiscrepancy", "finding", "criticalResult", "followupRecommendation", - "followupCommunication", and "radiologyProcedure". - :vartype kind: str or - ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceType - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - """ - - __mapping__: Dict[str, _model_base.Model] = {} - kind: str = rest_discriminator(name="kind") - """Discriminator property for RadiologyInsightsInference. Required. Known values are: - \"ageMismatch\", \"lateralityDiscrepancy\", \"sexMismatch\", \"completeOrderDiscrepancy\", - \"limitedOrderDiscrepancy\", \"finding\", \"criticalResult\", \"followupRecommendation\", - \"followupCommunication\", and \"radiologyProcedure\".""" - extension: Optional[List["_models.Extension"]] = rest_field() - """Additional Content defined by implementations.""" - - @overload - def __init__( - self, - *, - kind: str, - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class AgeMismatchInference(RadiologyInsightsInference, discriminator="ageMismatch"): - """A notification for age mismatch is displayed when the age mentioned in a document for a - specific patient does not match the age specified in the patient information. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Age mismatch inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.AGE_MISMATCH - """ - - kind: Literal[RadiologyInsightsInferenceType.AGE_MISMATCH] = rest_discriminator(name="kind") # type: ignore - """Inference type. Required. Age mismatch inference type""" - - @overload - def __init__( - self, - *, - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.AGE_MISMATCH, **kwargs) - - -class Element(_model_base.Model): - """The base definition for all elements contained inside a resource. - Based on `FHIR Element `__. - - :ivar id: Unique id for inter-element referencing. - :vartype id: str - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - """ - - id: Optional[str] = rest_field() - """Unique id for inter-element referencing.""" - extension: Optional[List["_models.Extension"]] = rest_field() - """Additional Content defined by implementations.""" - - @overload - def __init__( - self, - *, - id: Optional[str] = None, # pylint: disable=redefined-builtin - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Annotation(Element): - """A text note which also contains information about who made the statement and when - Based on `FHIR Annotation `_. - - - :ivar id: Unique id for inter-element referencing. - :vartype id: str - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar author_string: Individual responsible for the annotation. - :vartype author_string: str - :ivar time: When the annotation was made. - :vartype time: str - :ivar text: The annotation - text content (as markdown). Required. - :vartype text: str - """ - - author_string: Optional[str] = rest_field(name="authorString") - """Individual responsible for the annotation.""" - time: Optional[str] = rest_field() - """When the annotation was made.""" - text: str = rest_field() - """The annotation - text content (as markdown). Required.""" - - @overload - def __init__( - self, - *, - text: str, - id: Optional[str] = None, # pylint: disable=redefined-builtin - extension: Optional[List["_models.Extension"]] = None, - author_string: Optional[str] = None, - time: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class CodeableConcept(Element): - """Concept - reference to a terminology or just text - Based on `FHIR CodeableConcept `_. - - :ivar coding: Code defined by a terminology system. - :vartype coding: list[~azure.healthinsights.radiologyinsights.models.Coding] - :ivar text: Plain text representation of the concept. - :vartype text: str - """ - - coding: Optional[List["_models.Coding"]] = rest_field() - """Code defined by a terminology system.""" - text: Optional[str] = rest_field() - """Plain text representation of the concept.""" - - @overload - def __init__( - self, - *, - coding: Optional[List["_models.Coding"]] = None, - text: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Coding(Element): - """A Coding is a representation of a defined concept using a symbol from a defined "code system". - Based on `FHIR Coding `_. - - :ivar id: Unique id for inter-element referencing. - :vartype id: str - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar system: Identity of the terminology system. - :vartype system: str - :ivar version: Version of the system - if relevant. - :vartype version: str - :ivar code: Symbol in syntax defined by the system. - :vartype code: str - :ivar display: Representation defined by the system. - :vartype display: str - """ - - system: Optional[str] = rest_field() - """Identity of the terminology system.""" - version: Optional[str] = rest_field() - """Version of the system - if relevant.""" - code: Optional[str] = rest_field() - """Symbol in syntax defined by the system.""" - display: Optional[str] = rest_field() - """Representation defined by the system.""" - - @overload - def __init__( - self, - *, - id: Optional[str] = None, # pylint: disable=redefined-builtin - extension: Optional[List["_models.Extension"]] = None, - system: Optional[str] = None, - version: Optional[str] = None, - code: Optional[str] = None, - display: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class CompleteOrderDiscrepancyInference(RadiologyInsightsInference, discriminator="completeOrderDiscrepancy"): - """A complete order discrepancy is shown when one or more body parts and/or measurements that - should be in the document (because there is a complete order) are not present. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Complete order discrepancy inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.COMPLETE_ORDER_DISCREPANCY - :ivar order_type: Order type : CPT ultrasound complete code for abdomen, retroperitoneal, - pelvis or breast. Required. - :vartype order_type: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar missing_body_parts: List of missing body parts required by a complete order : SNOMED CT - codes. - :vartype missing_body_parts: - list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - :ivar missing_body_part_measurements: List of missing body parts that require measurement by a - complete order : SNOMED CT codes. - :vartype missing_body_part_measurements: - list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - """ - - kind: Literal[RadiologyInsightsInferenceType.COMPLETE_ORDER_DISCREPANCY] = rest_discriminator(name="kind") # type: ignore # pylint: disable=line-too-long - """Inference type. Required. Complete order discrepancy inference type""" - order_type: "_models.CodeableConcept" = rest_field(name="orderType") - """Order type : CPT ultrasound complete code for abdomen, retroperitoneal, pelvis or breast. - Required.""" - missing_body_parts: Optional[List["_models.CodeableConcept"]] = rest_field(name="missingBodyParts") - """List of missing body parts required by a complete order : SNOMED CT codes.""" - missing_body_part_measurements: Optional[List["_models.CodeableConcept"]] = rest_field( - name="missingBodyPartMeasurements" - ) - """List of missing body parts that require measurement by a complete order : SNOMED CT codes.""" - - @overload - def __init__( - self, - *, - order_type: "_models.CodeableConcept", - extension: Optional[List["_models.Extension"]] = None, - missing_body_parts: Optional[List["_models.CodeableConcept"]] = None, - missing_body_part_measurements: Optional[List["_models.CodeableConcept"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.COMPLETE_ORDER_DISCREPANCY, **kwargs) - - -class CriticalResult(_model_base.Model): - """Critical Result consists of two properties. - - - :ivar description: Description : medical problem. Required. - :vartype description: str - :ivar finding: Finding linked to the critical result. - :vartype finding: ~azure.healthinsights.radiologyinsights.models.Observation - """ - - description: str = rest_field() - """Description : medical problem. Required.""" - finding: Optional["_models.Observation"] = rest_field() - """Finding linked to the critical result.""" - - @overload - def __init__( - self, - *, - description: str, - finding: Optional["_models.Observation"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class CriticalResultInference(RadiologyInsightsInference, discriminator="criticalResult"): - """Critical results refer to findings of utmost importance that may require timely attention due - to their potential impact on patient care. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Critical finding inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.CRITICAL_RESULT - :ivar result: The complete Critical Result, as outlined below, will be reused for the - recommendation. Required. - :vartype result: ~azure.healthinsights.radiologyinsights.models.CriticalResult - """ - - kind: Literal[RadiologyInsightsInferenceType.CRITICAL_RESULT] = rest_discriminator(name="kind") # type: ignore - """Inference type. Required. Critical finding inference type""" - result: "_models.CriticalResult" = rest_field() - """The complete Critical Result, as outlined below, will be reused for the recommendation. - Required.""" - - @overload - def __init__( - self, - *, - result: "_models.CriticalResult", - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.CRITICAL_RESULT, **kwargs) - - -class DocumentAdministrativeMetadata(_model_base.Model): - """Document administrative metadata. - - :ivar ordered_procedures: List of procedure information associated with the document. - :vartype ordered_procedures: - list[~azure.healthinsights.radiologyinsights.models.OrderedProcedure] - :ivar encounter_id: Reference to the encounter associated with the document. - :vartype encounter_id: str - """ - - ordered_procedures: Optional[List["_models.OrderedProcedure"]] = rest_field(name="orderedProcedures") - """List of procedure information associated with the document.""" - encounter_id: Optional[str] = rest_field(name="encounterId") - """Reference to the encounter associated with the document.""" - - @overload - def __init__( - self, - *, - ordered_procedures: Optional[List["_models.OrderedProcedure"]] = None, - encounter_id: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class DocumentAuthor(_model_base.Model): - """Document author. - - :ivar id: author id. - :vartype id: str - :ivar full_name: Text representation of the full name. - :vartype full_name: str - """ - - id: Optional[str] = rest_field() - """author id.""" - full_name: Optional[str] = rest_field(name="fullName") - """Text representation of the full name.""" - - @overload - def __init__( - self, - *, - id: Optional[str] = None, # pylint: disable=redefined-builtin - full_name: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class DocumentContent(_model_base.Model): - """The content of the patient document. - - - :ivar source_type: The type of the content's source. - In case the source type is 'inline', the content is given as a string (for instance, text). - In case the source type is 'reference', the content is given as a URI. Required. Known values - are: "inline" and "reference". - :vartype source_type: str or - ~azure.healthinsights.radiologyinsights.models.DocumentContentSourceType - :ivar value: The content of the document, given either inline (as a string) or as a reference - (URI). Required. - :vartype value: str - """ - - source_type: Union[str, "_models.DocumentContentSourceType"] = rest_field(name="sourceType") - """The type of the content's source. - In case the source type is 'inline', the content is given as a string (for instance, text). - In case the source type is 'reference', the content is given as a URI. Required. Known values - are: \"inline\" and \"reference\".""" - value: str = rest_field() - """The content of the document, given either inline (as a string) or as a reference (URI). - Required.""" - - @overload - def __init__( - self, - *, - source_type: Union[str, "_models.DocumentContentSourceType"], - value: str, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Resource(_model_base.Model): - """Resource is the ancestor of DomainResource from which most resources are derived. Bundle, - Parameters, and Binary extend Resource directly. - Based on [FHIR Resource](https://www.hl7.org/fhir/r4/resource.html. - - - :ivar resource_type: The type of resource. Required. - :vartype resource_type: str - :ivar id: Resource Id. - :vartype id: str - :ivar meta: Metadata about the resource. - :vartype meta: ~azure.healthinsights.radiologyinsights.models.Meta - :ivar implicit_rules: A set of rules under which this content was created. - :vartype implicit_rules: str - :ivar language: Language of the resource content. - :vartype language: str - """ - - resource_type: str = rest_field(name="resourceType") - """The type of resource. Required.""" - id: Optional[str] = rest_field() - """Resource Id.""" - meta: Optional["_models.Meta"] = rest_field() - """Metadata about the resource.""" - implicit_rules: Optional[str] = rest_field(name="implicitRules") - """A set of rules under which this content was created.""" - language: Optional[str] = rest_field() - """Language of the resource content.""" - - @overload - def __init__( - self, - *, - resource_type: str, - id: Optional[str] = None, # pylint: disable=redefined-builtin - meta: Optional["_models.Meta"] = None, - implicit_rules: Optional[str] = None, - language: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class DomainResource(Resource): - """A resource with narrative, extensions, and contained resources - Based on `FHIR DomainResource `_. - - You probably want to use the sub-classes and not this class directly. Known sub-classes are: - Condition, Observation, ResearchStudy - - - :ivar id: Resource Id. - :vartype id: str - :ivar meta: Metadata about the resource. - :vartype meta: ~azure.healthinsights.radiologyinsights.models.Meta - :ivar implicit_rules: A set of rules under which this content was created. - :vartype implicit_rules: str - :ivar language: Language of the resource content. - :vartype language: str - :ivar resource_type: Discriminator property for DomainResource. Required. Default value is - None. - :vartype resource_type: str - :ivar text: Text summary of the resource, for human interpretation. - :vartype text: ~azure.healthinsights.radiologyinsights.models.Narrative - :ivar contained: Contained, inline Resources. - :vartype contained: list[~azure.healthinsights.radiologyinsights.models.Resource] - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar modifier_extension: Extensions that cannot be ignored. - :vartype modifier_extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - """ - - __mapping__: Dict[str, _model_base.Model] = {} - resource_type: str = rest_discriminator(name="resourceType") - """Discriminator property for DomainResource. Required. Default value is None.""" - text: Optional["_models.Narrative"] = rest_field() - """Text summary of the resource, for human interpretation.""" - contained: Optional[List["_models.Resource"]] = rest_field() - """Contained, inline Resources.""" - extension: Optional[List["_models.Extension"]] = rest_field() - """Additional Content defined by implementations.""" - modifier_extension: Optional[List["_models.Extension"]] = rest_field(name="modifierExtension") - """Extensions that cannot be ignored.""" - - @overload - def __init__( - self, - *, - resource_type: str, - id: Optional[str] = None, # pylint: disable=redefined-builtin - meta: Optional["_models.Meta"] = None, - implicit_rules: Optional[str] = None, - language: Optional[str] = None, - text: Optional["_models.Narrative"] = None, - contained: Optional[List["_models.Resource"]] = None, - extension: Optional[List["_models.Extension"]] = None, - modifier_extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Extension(Element): # pylint: disable=too-many-instance-attributes - """Base for all elements - Based on `FHIR Element `_. - - - :ivar url: Source of the definition for the extension code - a logical name or a URL. Required. - :vartype url: str - :ivar value_quantity: Value as Quantity. - :vartype value_quantity: ~azure.healthinsights.radiologyinsights.models.Quantity - :ivar value_codeable_concept: Value as CodeableConcept. - :vartype value_codeable_concept: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar value_string: Value as string. - :vartype value_string: str - :ivar value_boolean: Value as boolean. - :vartype value_boolean: bool - :ivar value_integer: Value as integer. - :vartype value_integer: int - :ivar value_range: Value as Range. - :vartype value_range: ~azure.healthinsights.radiologyinsights.models.Range - :ivar value_ratio: Value as Ratio. - :vartype value_ratio: ~azure.healthinsights.radiologyinsights.models.Ratio - :ivar value_sampled_data: Value as SampledData. - :vartype value_sampled_data: ~azure.healthinsights.radiologyinsights.models.SampledData - :ivar value_time: Value as time (hh:mm:ss). - :vartype value_time: ~datetime.time - :ivar value_date_time: Value as dateTime. - :vartype value_date_time: str - :ivar value_period: Value as Period. - :vartype value_period: ~azure.healthinsights.radiologyinsights.models.Period - :ivar value_reference: Value as reference. - :vartype value_reference: ~azure.healthinsights.radiologyinsights.models.Reference - """ - - url: str = rest_field() - """Source of the definition for the extension code - a logical name or a URL. Required.""" - value_quantity: Optional["_models.Quantity"] = rest_field(name="valueQuantity") - """Value as Quantity.""" - value_codeable_concept: Optional["_models.CodeableConcept"] = rest_field(name="valueCodeableConcept") - """Value as CodeableConcept.""" - value_string: Optional[str] = rest_field(name="valueString") - """Value as string.""" - value_boolean: Optional[bool] = rest_field(name="valueBoolean") - """Value as boolean.""" - value_integer: Optional[int] = rest_field(name="valueInteger") - """Value as integer.""" - value_range: Optional["_models.Range"] = rest_field(name="valueRange") - """Value as Range.""" - value_ratio: Optional["_models.Ratio"] = rest_field(name="valueRatio") - """Value as Ratio.""" - value_sampled_data: Optional["_models.SampledData"] = rest_field(name="valueSampledData") - """Value as SampledData.""" - value_time: Optional[datetime.time] = rest_field(name="valueTime") - """Value as time (hh:mm:ss).""" - value_date_time: Optional[str] = rest_field(name="valueDateTime") - """Value as dateTime.""" - value_period: Optional["_models.Period"] = rest_field(name="valuePeriod") - """Value as Period.""" - value_reference: Optional["_models.Reference"] = rest_field(name="valueReference") - """Value as reference.""" - - @overload - def __init__( - self, - *, - url: str, - value_quantity: Optional["_models.Quantity"] = None, - value_codeable_concept: Optional["_models.CodeableConcept"] = None, - value_string: Optional[str] = None, - value_boolean: Optional[bool] = None, - value_integer: Optional[int] = None, - value_range: Optional["_models.Range"] = None, - value_ratio: Optional["_models.Ratio"] = None, - value_sampled_data: Optional["_models.SampledData"] = None, - value_time: Optional[datetime.time] = None, - value_date_time: Optional[str] = None, - value_period: Optional["_models.Period"] = None, - value_reference: Optional["_models.Reference"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class FindingInference(RadiologyInsightsInference, discriminator="finding"): - """Findings in a radiology report typically describe abnormalities, lesions, or other notable - observations related to the anatomy or pathology of the imaged area. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Finding inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.FINDING - :ivar finding: Finding data : contains extensions, fields and components linked with the - finding. Required. - :vartype finding: ~azure.healthinsights.radiologyinsights.models.Observation - """ - - kind: Literal[RadiologyInsightsInferenceType.FINDING] = rest_discriminator(name="kind") # type: ignore - """Inference type. Required. Finding inference type""" - finding: "_models.Observation" = rest_field() - """Finding data : contains extensions, fields and components linked with the finding. Required.""" - - @overload - def __init__( - self, - *, - finding: "_models.Observation", - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.FINDING, **kwargs) - - -class FindingOptions(_model_base.Model): - """Finding options. - - :ivar provide_focused_sentence_evidence: If this is true, provide the sentence that contains - the first token of the finding's clinical indicator (i.e. the medical problem), if there is - one. This sentence is provided as an extension with url 'ci_sentence', next to the token - evidence. Default is false. - :vartype provide_focused_sentence_evidence: bool - """ - - provide_focused_sentence_evidence: Optional[bool] = rest_field(name="provideFocusedSentenceEvidence") - """If this is true, provide the sentence that contains the first token of the finding's clinical - indicator (i.e. the medical problem), if there is one. This sentence is provided as an - extension with url 'ci_sentence', next to the token evidence. Default is false.""" - - @overload - def __init__( - self, - *, - provide_focused_sentence_evidence: Optional[bool] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class FollowupCommunicationInference(RadiologyInsightsInference, discriminator="followupCommunication"): - """Follow-up communication involves the exchange of important information, recommendations, or - updates between radiologists and other healthcare professionals involved in a patient's care. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Followup Communication inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.FOLLOWUP_COMMUNICATION - :ivar communicated_at: Communication date and time. - :vartype communicated_at: list[~datetime.datetime] - :ivar recipient: Recipient of the communication. - :vartype recipient: list[str or - ~azure.healthinsights.radiologyinsights.models.MedicalProfessionalType] - :ivar was_acknowledged: Communication was acknowledged. Required. - :vartype was_acknowledged: bool - """ - - kind: Literal[RadiologyInsightsInferenceType.FOLLOWUP_COMMUNICATION] = rest_discriminator(name="kind") # type: ignore - """Inference type. Required. Followup Communication inference type""" - communicated_at: Optional[List[datetime.datetime]] = rest_field(name="communicatedAt", format="rfc3339") - """Communication date and time.""" - recipient: Optional[List[Union[str, "_models.MedicalProfessionalType"]]] = rest_field() - """Recipient of the communication.""" - was_acknowledged: bool = rest_field(name="wasAcknowledged") - """Communication was acknowledged. Required.""" - - @overload - def __init__( - self, - *, - was_acknowledged: bool, - extension: Optional[List["_models.Extension"]] = None, - communicated_at: Optional[List[datetime.datetime]] = None, - recipient: Optional[List[Union[str, "_models.MedicalProfessionalType"]]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.FOLLOWUP_COMMUNICATION, **kwargs) - - -class FollowupRecommendationInference(RadiologyInsightsInference, discriminator="followupRecommendation"): - """Follow-up recommendations offer guidance to healthcare providers on managing and monitoring - patients based on the findings of imaging studies. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Recommendation inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.FOLLOWUP_RECOMMENDATION - :ivar effective_at: Date and time are displayed when the procedure is recommended to be done at - a specific point in time. - :vartype effective_at: str - :ivar effective_period: The period is shown if a specific period is mentioned, with a start and - end date-time. - :vartype effective_period: ~azure.healthinsights.radiologyinsights.models.Period - :ivar findings: Findings related to the recommendation. - :vartype findings: list[~azure.healthinsights.radiologyinsights.models.RecommendationFinding] - :ivar is_conditional: The conditional value indicates whether or not the sentence containing - the recommendation includes a conditional statement. Keywords for conditional statements - include 'if', 'when', 'unless', and so on. Required. - :vartype is_conditional: bool - :ivar is_option: The option value indicates whether or not the sentence containing the - recommendation includes an optional statement. Keywords for optional statements include - 'recommend', 'consider', and so on. Required. - :vartype is_option: bool - :ivar is_guideline: The guideline value indicates whether or not the recommendation is part of - a guideline section that compiles all recommendations applicable to various findings. Required. - :vartype is_guideline: bool - :ivar is_hedging: Hedging refers to ambiguous, vague or imprecise language within the sentence - of the recommendation. Keywords for hedging are 'can be','may be',and so on. Required. - :vartype is_hedging: bool - :ivar recommended_procedure: The procedure recommendation can be a generic procedure or an - imaging procedure. Required. - :vartype recommended_procedure: - ~azure.healthinsights.radiologyinsights.models.ProcedureRecommendation - """ - - kind: Literal[RadiologyInsightsInferenceType.FOLLOWUP_RECOMMENDATION] = rest_discriminator(name="kind") # type: ignore - """Inference type. Required. Recommendation inference type""" - effective_at: Optional[str] = rest_field(name="effectiveAt") - """Date and time are displayed when the procedure is recommended to be done at a specific point in - time.""" - effective_period: Optional["_models.Period"] = rest_field(name="effectivePeriod") - """The period is shown if a specific period is mentioned, with a start and end date-time.""" - findings: Optional[List["_models.RecommendationFinding"]] = rest_field() - """Findings related to the recommendation.""" - is_conditional: bool = rest_field(name="isConditional") - """The conditional value indicates whether or not the sentence containing the recommendation - includes a conditional statement. Keywords for conditional statements include 'if', 'when', - 'unless', and so on. Required.""" - is_option: bool = rest_field(name="isOption") - """The option value indicates whether or not the sentence containing the recommendation includes - an optional statement. Keywords for optional statements include 'recommend', 'consider', and so - on. Required.""" - is_guideline: bool = rest_field(name="isGuideline") - """The guideline value indicates whether or not the recommendation is part of a guideline section - that compiles all recommendations applicable to various findings. Required.""" - is_hedging: bool = rest_field(name="isHedging") - """Hedging refers to ambiguous, vague or imprecise language within the sentence of the - recommendation. Keywords for hedging are 'can be','may be',and so on. Required.""" - recommended_procedure: "_models.ProcedureRecommendation" = rest_field(name="recommendedProcedure") - """The procedure recommendation can be a generic procedure or an imaging procedure. Required.""" - - @overload - def __init__( - self, - *, - is_conditional: bool, - is_option: bool, - is_guideline: bool, - is_hedging: bool, - recommended_procedure: "_models.ProcedureRecommendation", - extension: Optional[List["_models.Extension"]] = None, - effective_at: Optional[str] = None, - effective_period: Optional["_models.Period"] = None, - findings: Optional[List["_models.RecommendationFinding"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.FOLLOWUP_RECOMMENDATION, **kwargs) - - -class FollowupRecommendationOptions(_model_base.Model): - """Follow-up recommendation options. - - :ivar include_recommendations_with_no_specified_modality: Include/Exclude follow-up - recommendations without a specific radiology procedure. Default is false. - :vartype include_recommendations_with_no_specified_modality: bool - :ivar include_recommendations_in_references: Include/Exclude follow-up recommendations in - references to a guideline or article. Default is false. - :vartype include_recommendations_in_references: bool - :ivar provide_focused_sentence_evidence: If this is true, provide one or more sentences as - evidence for the recommendation, next to the token evidence. The start and end positions of - these sentences will be put in an extension with url 'modality_sentences'. Default is false. - :vartype provide_focused_sentence_evidence: bool - """ - - include_recommendations_with_no_specified_modality: Optional[bool] = rest_field( - name="includeRecommendationsWithNoSpecifiedModality" - ) - """Include/Exclude follow-up recommendations without a specific radiology procedure. Default is - false.""" - include_recommendations_in_references: Optional[bool] = rest_field(name="includeRecommendationsInReferences") - """Include/Exclude follow-up recommendations in references to a guideline or article. Default is - false.""" - provide_focused_sentence_evidence: Optional[bool] = rest_field(name="provideFocusedSentenceEvidence") - """If this is true, provide one or more sentences as evidence for the recommendation, next to the - token evidence. The start and end positions of these sentences will be put in an extension with - url 'modality_sentences'. Default is false.""" - - @overload - def __init__( - self, - *, - include_recommendations_with_no_specified_modality: Optional[bool] = None, - include_recommendations_in_references: Optional[bool] = None, - provide_focused_sentence_evidence: Optional[bool] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class ProcedureRecommendation(_model_base.Model): - """The procedure recommendation can be a generic procedure or an imaging procedure. - - You probably want to use the sub-classes and not this class directly. Known sub-classes are: - GenericProcedureRecommendation, ImagingProcedureRecommendation - - - :ivar kind: Discriminator property for ProcedureRecommendation. Required. Default value is - None. - :vartype kind: str - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - """ - - __mapping__: Dict[str, _model_base.Model] = {} - kind: str = rest_discriminator(name="kind") - """Discriminator property for ProcedureRecommendation. Required. Default value is None.""" - extension: Optional[List["_models.Extension"]] = rest_field() - """Additional Content defined by implementations.""" - - @overload - def __init__( - self, - *, - kind: str, - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class GenericProcedureRecommendation(ProcedureRecommendation, discriminator="genericProcedureRecommendation"): - """Generic procedure information. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Procedure type : generic. Required. Default value is - "genericProcedureRecommendation". - :vartype kind: str - :ivar code: Procedure modality : SNOMED CT code. Required. - :vartype code: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar description: Procedure description : MANAGEMENT PROCEDURE (PROCEDURE) or CONSULTATION - (PROCEDURE) based on SNOMED CT. - :vartype description: str - """ - - kind: Literal["genericProcedureRecommendation"] = rest_discriminator(name="kind") # type: ignore - """Procedure type : generic. Required. Default value is \"genericProcedureRecommendation\".""" - code: "_models.CodeableConcept" = rest_field() - """Procedure modality : SNOMED CT code. Required.""" - description: Optional[str] = rest_field() - """Procedure description : MANAGEMENT PROCEDURE (PROCEDURE) or CONSULTATION (PROCEDURE) based on - SNOMED CT.""" - - @overload - def __init__( - self, - *, - code: "_models.CodeableConcept", - extension: Optional[List["_models.Extension"]] = None, - description: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind="genericProcedureRecommendation", **kwargs) - - -class HealthInsightsErrorResponse(_model_base.Model): - """A response containing error details. - - - :ivar error: The error object. Required. - :vartype error: ~azure.core.HttpResponseError - """ - - error: HttpResponseError = rest_field() - """The error object. Required.""" - - @overload - def __init__( - self, - *, - error: HttpResponseError, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Identifier(Element): - """An identifier intended for computation - Based on `FHIR Identifier `_. - - :ivar use: usual | official | temp | secondary | old (If known). - :vartype use: str - :ivar type: Description of identifier. - :vartype type: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar system: The namespace for the identifier value. - :vartype system: str - :ivar value: The value that is unique. - :vartype value: str - :ivar period: Time period when id is/was valid for use. - :vartype period: ~azure.healthinsights.radiologyinsights.models.Period - :ivar assigner: Organization that issued id (may be just text). - :vartype assigner: ~azure.healthinsights.radiologyinsights.models.Reference - """ - - use: Optional[str] = rest_field() - """usual | official | temp | secondary | old (If known).""" - type: Optional["_models.CodeableConcept"] = rest_field() - """Description of identifier.""" - system: Optional[str] = rest_field() - """The namespace for the identifier value.""" - value: Optional[str] = rest_field() - """The value that is unique.""" - period: Optional["_models.Period"] = rest_field() - """Time period when id is/was valid for use.""" - assigner: Optional["_models.Reference"] = rest_field() - """Organization that issued id (may be just text).""" - - @overload - def __init__( - self, - *, - use: Optional[str] = None, - type: Optional["_models.CodeableConcept"] = None, - system: Optional[str] = None, - value: Optional[str] = None, - period: Optional["_models.Period"] = None, - assigner: Optional["_models.Reference"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class ImagingProcedure(_model_base.Model): - """Imaging procedure. - - - :ivar modality: Modality : SNOMED CT code. Required. - :vartype modality: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar anatomy: Anatomy : SNOMED CT code. Required. - :vartype anatomy: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar laterality: Laterality : SNOMED CT code. - :vartype laterality: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar contrast: Contrast : see RadiologyCodeWithTypes (below). - :vartype contrast: ~azure.healthinsights.radiologyinsights.models.RadiologyCodeWithTypes - :ivar view: View : see RadiologyCodeWithTypes (below). - :vartype view: ~azure.healthinsights.radiologyinsights.models.RadiologyCodeWithTypes - """ - - modality: "_models.CodeableConcept" = rest_field() - """Modality : SNOMED CT code. Required.""" - anatomy: "_models.CodeableConcept" = rest_field() - """Anatomy : SNOMED CT code. Required.""" - laterality: Optional["_models.CodeableConcept"] = rest_field() - """Laterality : SNOMED CT code.""" - contrast: Optional["_models.RadiologyCodeWithTypes"] = rest_field() - """Contrast : see RadiologyCodeWithTypes (below).""" - view: Optional["_models.RadiologyCodeWithTypes"] = rest_field() - """View : see RadiologyCodeWithTypes (below).""" - - @overload - def __init__( - self, - *, - modality: "_models.CodeableConcept", - anatomy: "_models.CodeableConcept", - laterality: Optional["_models.CodeableConcept"] = None, - contrast: Optional["_models.RadiologyCodeWithTypes"] = None, - view: Optional["_models.RadiologyCodeWithTypes"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class ImagingProcedureRecommendation(ProcedureRecommendation, discriminator="imagingProcedureRecommendation"): - """Imaging procedures. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Procedure type : imaging. Required. Default value is - "imagingProcedureRecommendation". - :vartype kind: str - :ivar procedure_codes: LOINC codes for the procedure. - :vartype procedure_codes: list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - :ivar imaging_procedures: Imaging procedures. Required. - :vartype imaging_procedures: - list[~azure.healthinsights.radiologyinsights.models.ImagingProcedure] - """ - - kind: Literal["imagingProcedureRecommendation"] = rest_discriminator(name="kind") # type: ignore - """Procedure type : imaging. Required. Default value is \"imagingProcedureRecommendation\".""" - procedure_codes: Optional[List["_models.CodeableConcept"]] = rest_field(name="procedureCodes") - """LOINC codes for the procedure.""" - imaging_procedures: List["_models.ImagingProcedure"] = rest_field(name="imagingProcedures") - """Imaging procedures. Required.""" - - @overload - def __init__( - self, - *, - imaging_procedures: List["_models.ImagingProcedure"], - extension: Optional[List["_models.Extension"]] = None, - procedure_codes: Optional[List["_models.CodeableConcept"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind="imagingProcedureRecommendation", **kwargs) - - -class LateralityDiscrepancyInference(RadiologyInsightsInference, discriminator="lateralityDiscrepancy"): - """A laterality mismatch occurs when there is a discrepancy between the clinical documentation and - the ordered procedure (orderLateralityMismatch), a contradiction within the clinical document - (textLateralityContradiction), or when no laterality is mentioned (textLateralityMissing). - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Laterality discrepancy inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.LATERALITY_DISCREPANCY - :ivar laterality_indication: Laterality indication : SNOMED CT code for laterality qualifier - value. - :vartype laterality_indication: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar discrepancy_type: Mismatch type : orderLateralityMismatch, textLateralityContradiction, - textLateralityMissing. Required. Known values are: "orderLateralityMismatch", - "textLateralityContradiction", and "textLateralityMissing". - :vartype discrepancy_type: str or - ~azure.healthinsights.radiologyinsights.models.LateralityDiscrepancyType - """ - - kind: Literal[RadiologyInsightsInferenceType.LATERALITY_DISCREPANCY] = rest_discriminator(name="kind") # type: ignore - """Inference type. Required. Laterality discrepancy inference type""" - laterality_indication: Optional["_models.CodeableConcept"] = rest_field(name="lateralityIndication") - """Laterality indication : SNOMED CT code for laterality qualifier value.""" - discrepancy_type: Union[str, "_models.LateralityDiscrepancyType"] = rest_field(name="discrepancyType") - """Mismatch type : orderLateralityMismatch, textLateralityContradiction, textLateralityMissing. - Required. Known values are: \"orderLateralityMismatch\", \"textLateralityContradiction\", and - \"textLateralityMissing\".""" - - @overload - def __init__( - self, - *, - discrepancy_type: Union[str, "_models.LateralityDiscrepancyType"], - extension: Optional[List["_models.Extension"]] = None, - laterality_indication: Optional["_models.CodeableConcept"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.LATERALITY_DISCREPANCY, **kwargs) - - -class LimitedOrderDiscrepancyInference(RadiologyInsightsInference, discriminator="limitedOrderDiscrepancy"): - """A limited order discrepancy occurs when there is a limited order, but all body parts and - measurements that are needed for a complete order are present in the document. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Limited order discrepancy inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.LIMITED_ORDER_DISCREPANCY - :ivar order_type: Order type : CPT ultrasound complete code for abdomen, retroperitoneal, - pelvis or breast. Required. - :vartype order_type: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar present_body_parts: List of body parts found in the document : SNOMED CT codes. - :vartype present_body_parts: - list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - :ivar present_body_part_measurements: List of body parts that are measured according to the - document : SNOMED CT codes. - :vartype present_body_part_measurements: - list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - """ - - kind: Literal[RadiologyInsightsInferenceType.LIMITED_ORDER_DISCREPANCY] = rest_discriminator(name="kind") # type: ignore # pylint: disable=line-too-long - """Inference type. Required. Limited order discrepancy inference type""" - order_type: "_models.CodeableConcept" = rest_field(name="orderType") - """Order type : CPT ultrasound complete code for abdomen, retroperitoneal, pelvis or breast. - Required.""" - present_body_parts: Optional[List["_models.CodeableConcept"]] = rest_field(name="presentBodyParts") - """List of body parts found in the document : SNOMED CT codes.""" - present_body_part_measurements: Optional[List["_models.CodeableConcept"]] = rest_field( - name="presentBodyPartMeasurements" - ) - """List of body parts that are measured according to the document : SNOMED CT codes.""" - - @overload - def __init__( - self, - *, - order_type: "_models.CodeableConcept", - extension: Optional[List["_models.Extension"]] = None, - present_body_parts: Optional[List["_models.CodeableConcept"]] = None, - present_body_part_measurements: Optional[List["_models.CodeableConcept"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.LIMITED_ORDER_DISCREPANCY, **kwargs) - - -class Meta(_model_base.Model): - """Metadata about a resource - Based on `FHIR Meta `_. - - :ivar version_id: The version specific identifier, as it appears in the version portion of the - URL. This value changes when the resource is created, updated, or deleted. - :vartype version_id: str - :ivar last_updated: When the resource last changed - e.g. when the version changed. - :vartype last_updated: str - :ivar source: A uri that identifies the source system of the resource. This provides a minimal - amount of Provenance information that can be used to track or differentiate the source of - information in the resource. The source may identify another FHIR server, document, message, - database, etc. - :vartype source: str - :ivar profile: A list of profiles (references to `StructureDefinition - `_ resources) that this resource claims to - conform to. The URL is a reference to `StructureDefinition.url - `_. - :vartype profile: list[str] - :ivar security: Security labels applied to this resource. These tags connect specific resources - to the overall security policy and infrastructure. - :vartype security: list[~azure.healthinsights.radiologyinsights.models.Coding] - :ivar tag: Tags applied to this resource. Tags are intended to be used to identify and relate - resources to process and workflow, and applications are not required to consider the tags when - interpreting the meaning of a resource. - :vartype tag: list[~azure.healthinsights.radiologyinsights.models.Coding] - """ - - version_id: Optional[str] = rest_field(name="versionId") - """The version specific identifier, as it appears in the version portion of the URL. This value - changes when the resource is created, updated, or deleted.""" - last_updated: Optional[str] = rest_field(name="lastUpdated") - """When the resource last changed - e.g. when the version changed.""" - source: Optional[str] = rest_field() - """A uri that identifies the source system of the resource. This provides a minimal amount of - Provenance information that can be used to track or differentiate the source of information in - the resource. The source may identify another FHIR server, document, message, database, etc.""" - profile: Optional[List[str]] = rest_field() - """A list of profiles (references to `StructureDefinition - `_ resources) that this resource claims to - conform to. The URL is a reference to `StructureDefinition.url - `_.""" - security: Optional[List["_models.Coding"]] = rest_field() - """Security labels applied to this resource. These tags connect specific resources to the overall - security policy and infrastructure.""" - tag: Optional[List["_models.Coding"]] = rest_field() - """Tags applied to this resource. Tags are intended to be used to identify and relate resources to - process and workflow, and applications are not required to consider the tags when interpreting - the meaning of a resource.""" - - @overload - def __init__( - self, - *, - version_id: Optional[str] = None, - last_updated: Optional[str] = None, - source: Optional[str] = None, - profile: Optional[List[str]] = None, - security: Optional[List["_models.Coding"]] = None, - tag: Optional[List["_models.Coding"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Narrative(Element): - """Any resource that is a `DomainResource `_ may - include a human-readable narrative that contains a summary of the resource and may be used to - represent the content of the resource to a human. - Based on `FHIR Narrative `_. - - - :ivar id: Unique id for inter-element referencing. - :vartype id: str - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar status: generated, extensions, additional, empty. Required. - :vartype status: str - :ivar div: xhtml. Required. - :vartype div: str - """ - - status: str = rest_field() - """generated, extensions, additional, empty. Required.""" - div: str = rest_field() - """xhtml. Required.""" - - @overload - def __init__( - self, - *, - status: str, - div: str, - id: Optional[str] = None, # pylint: disable=redefined-builtin - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Observation(DomainResource, discriminator="Observation"): # pylint: disable=too-many-instance-attributes - """Detailed information about observations - Based on `FHIR Observation `_. - - - :ivar id: Resource Id. - :vartype id: str - :ivar meta: Metadata about the resource. - :vartype meta: ~azure.healthinsights.radiologyinsights.models.Meta - :ivar implicit_rules: A set of rules under which this content was created. - :vartype implicit_rules: str - :ivar language: Language of the resource content. - :vartype language: str - :ivar text: Text summary of the resource, for human interpretation. - :vartype text: ~azure.healthinsights.radiologyinsights.models.Narrative - :ivar contained: Contained, inline Resources. - :vartype contained: list[~azure.healthinsights.radiologyinsights.models.Resource] - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar modifier_extension: Extensions that cannot be ignored. - :vartype modifier_extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar resource_type: resourceType. Required. Default value is "Observation". - :vartype resource_type: str - :ivar identifier: Business Identifier for observation. - :vartype identifier: list[~azure.healthinsights.radiologyinsights.models.Identifier] - :ivar status: registered | preliminary | final | amended +. Required. Known values are: - "registered", "preliminary", "final", "amended", "corrected", "cancelled", "entered-in-error", - and "unknown". - :vartype status: str or - ~azure.healthinsights.radiologyinsights.models.ObservationStatusCodeType - :ivar category: Classification of type of observation. - :vartype category: list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - :ivar code: Type of observation (code / type). Required. - :vartype code: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar subject: Who and/or what the observation is about. - :vartype subject: ~azure.healthinsights.radiologyinsights.models.Reference - :ivar encounter: Healthcare event during which this observation is made. - :vartype encounter: ~azure.healthinsights.radiologyinsights.models.Reference - :ivar effective_date_time: Clinically relevant time/time-period for observation. - :vartype effective_date_time: str - :ivar effective_period: Clinically relevant time/time-period for observation. - :vartype effective_period: ~azure.healthinsights.radiologyinsights.models.Period - :ivar effective_instant: Clinically relevant time/time-period for observation. - :vartype effective_instant: str - :ivar issued: Date/Time this version was made available. - :vartype issued: str - :ivar value_quantity: Actual result. - :vartype value_quantity: ~azure.healthinsights.radiologyinsights.models.Quantity - :ivar value_codeable_concept: Actual result. - :vartype value_codeable_concept: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar value_string: Actual result. - :vartype value_string: str - :ivar value_boolean: Actual result. - :vartype value_boolean: bool - :ivar value_integer: Actual result. - :vartype value_integer: int - :ivar value_range: Actual result. - :vartype value_range: ~azure.healthinsights.radiologyinsights.models.Range - :ivar value_ratio: Actual result. - :vartype value_ratio: ~azure.healthinsights.radiologyinsights.models.Ratio - :ivar value_sampled_data: Actual result. - :vartype value_sampled_data: ~azure.healthinsights.radiologyinsights.models.SampledData - :ivar value_time: Actual result. - :vartype value_time: ~datetime.time - :ivar value_date_time: Actual result. - :vartype value_date_time: str - :ivar value_period: Actual result. - :vartype value_period: ~azure.healthinsights.radiologyinsights.models.Period - :ivar data_absent_reason: Why the result is missing. - :vartype data_absent_reason: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar interpretation: High, low, normal, etc. - :vartype interpretation: list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - :ivar note: Comments about the observation. - :vartype note: list[~azure.healthinsights.radiologyinsights.models.Annotation] - :ivar body_site: Observed body part. - :vartype body_site: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar method: How it was done. - :vartype method: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar reference_range: Provides guide for interpretation. - :vartype reference_range: - list[~azure.healthinsights.radiologyinsights.models.ObservationReferenceRange] - :ivar has_member: Related resource that belongs to the Observation group. - :vartype has_member: list[~azure.healthinsights.radiologyinsights.models.Reference] - :ivar derived_from: Related measurements the observation is made from. - :vartype derived_from: list[~azure.healthinsights.radiologyinsights.models.Reference] - :ivar component: Component results. - :vartype component: list[~azure.healthinsights.radiologyinsights.models.ObservationComponent] - """ - - resource_type: Literal["Observation"] = rest_discriminator(name="resourceType") # type: ignore - """resourceType. Required. Default value is \"Observation\".""" - identifier: Optional[List["_models.Identifier"]] = rest_field() - """Business Identifier for observation.""" - status: Union[str, "_models.ObservationStatusCodeType"] = rest_field() - """registered | preliminary | final | amended +. Required. Known values are: \"registered\", - \"preliminary\", \"final\", \"amended\", \"corrected\", \"cancelled\", \"entered-in-error\", - and \"unknown\".""" - category: Optional[List["_models.CodeableConcept"]] = rest_field() - """Classification of type of observation.""" - code: "_models.CodeableConcept" = rest_field() - """Type of observation (code / type). Required.""" - subject: Optional["_models.Reference"] = rest_field() - """Who and/or what the observation is about.""" - encounter: Optional["_models.Reference"] = rest_field() - """Healthcare event during which this observation is made.""" - effective_date_time: Optional[str] = rest_field(name="effectiveDateTime") - """Clinically relevant time/time-period for observation.""" - effective_period: Optional["_models.Period"] = rest_field(name="effectivePeriod") - """Clinically relevant time/time-period for observation.""" - effective_instant: Optional[str] = rest_field(name="effectiveInstant") - """Clinically relevant time/time-period for observation.""" - issued: Optional[str] = rest_field() - """Date/Time this version was made available.""" - value_quantity: Optional["_models.Quantity"] = rest_field(name="valueQuantity") - """Actual result.""" - value_codeable_concept: Optional["_models.CodeableConcept"] = rest_field(name="valueCodeableConcept") - """Actual result.""" - value_string: Optional[str] = rest_field(name="valueString") - """Actual result.""" - value_boolean: Optional[bool] = rest_field(name="valueBoolean") - """Actual result.""" - value_integer: Optional[int] = rest_field(name="valueInteger") - """Actual result.""" - value_range: Optional["_models.Range"] = rest_field(name="valueRange") - """Actual result.""" - value_ratio: Optional["_models.Ratio"] = rest_field(name="valueRatio") - """Actual result.""" - value_sampled_data: Optional["_models.SampledData"] = rest_field(name="valueSampledData") - """Actual result.""" - value_time: Optional[datetime.time] = rest_field(name="valueTime") - """Actual result.""" - value_date_time: Optional[str] = rest_field(name="valueDateTime") - """Actual result.""" - value_period: Optional["_models.Period"] = rest_field(name="valuePeriod") - """Actual result.""" - data_absent_reason: Optional["_models.CodeableConcept"] = rest_field(name="dataAbsentReason") - """Why the result is missing.""" - interpretation: Optional[List["_models.CodeableConcept"]] = rest_field() - """High, low, normal, etc.""" - note: Optional[List["_models.Annotation"]] = rest_field() - """Comments about the observation.""" - body_site: Optional["_models.CodeableConcept"] = rest_field(name="bodySite") - """Observed body part.""" - method: Optional["_models.CodeableConcept"] = rest_field() - """How it was done.""" - reference_range: Optional[List["_models.ObservationReferenceRange"]] = rest_field(name="referenceRange") - """Provides guide for interpretation.""" - has_member: Optional[List["_models.Reference"]] = rest_field(name="hasMember") - """Related resource that belongs to the Observation group.""" - derived_from: Optional[List["_models.Reference"]] = rest_field(name="derivedFrom") - """Related measurements the observation is made from.""" - component: Optional[List["_models.ObservationComponent"]] = rest_field() - """Component results.""" - - @overload - def __init__( # pylint: disable=too-many-locals - self, - *, - status: Union[str, "_models.ObservationStatusCodeType"], - code: "_models.CodeableConcept", - id: Optional[str] = None, # pylint: disable=redefined-builtin - meta: Optional["_models.Meta"] = None, - implicit_rules: Optional[str] = None, - language: Optional[str] = None, - text: Optional["_models.Narrative"] = None, - contained: Optional[List["_models.Resource"]] = None, - extension: Optional[List["_models.Extension"]] = None, - modifier_extension: Optional[List["_models.Extension"]] = None, - identifier: Optional[List["_models.Identifier"]] = None, - category: Optional[List["_models.CodeableConcept"]] = None, - subject: Optional["_models.Reference"] = None, - encounter: Optional["_models.Reference"] = None, - effective_date_time: Optional[str] = None, - effective_period: Optional["_models.Period"] = None, - effective_instant: Optional[str] = None, - issued: Optional[str] = None, - value_quantity: Optional["_models.Quantity"] = None, - value_codeable_concept: Optional["_models.CodeableConcept"] = None, - value_string: Optional[str] = None, - value_boolean: Optional[bool] = None, - value_integer: Optional[int] = None, - value_range: Optional["_models.Range"] = None, - value_ratio: Optional["_models.Ratio"] = None, - value_sampled_data: Optional["_models.SampledData"] = None, - value_time: Optional[datetime.time] = None, - value_date_time: Optional[str] = None, - value_period: Optional["_models.Period"] = None, - data_absent_reason: Optional["_models.CodeableConcept"] = None, - interpretation: Optional[List["_models.CodeableConcept"]] = None, - note: Optional[List["_models.Annotation"]] = None, - body_site: Optional["_models.CodeableConcept"] = None, - method: Optional["_models.CodeableConcept"] = None, - reference_range: Optional[List["_models.ObservationReferenceRange"]] = None, - has_member: Optional[List["_models.Reference"]] = None, - derived_from: Optional[List["_models.Reference"]] = None, - component: Optional[List["_models.ObservationComponent"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, resource_type="Observation", **kwargs) - - -class ObservationComponent(Element): # pylint: disable=too-many-instance-attributes - """Component results - Based on `FHIR Observation.component `_. - - - :ivar id: Unique id for inter-element referencing. - :vartype id: str - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar code: Type of component observation (code / type). Required. - :vartype code: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar value_quantity: Value as Quantity. - :vartype value_quantity: ~azure.healthinsights.radiologyinsights.models.Quantity - :ivar value_codeable_concept: Value as CodeableConcept. - :vartype value_codeable_concept: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar value_string: Value as string. - :vartype value_string: str - :ivar value_boolean: Value as boolean. - :vartype value_boolean: bool - :ivar value_integer: Value as integer. - :vartype value_integer: int - :ivar value_range: Value as Range. - :vartype value_range: ~azure.healthinsights.radiologyinsights.models.Range - :ivar value_ratio: Value as Ratio. - :vartype value_ratio: ~azure.healthinsights.radiologyinsights.models.Ratio - :ivar value_sampled_data: Value as SampledData. - :vartype value_sampled_data: ~azure.healthinsights.radiologyinsights.models.SampledData - :ivar value_time: Value as time (hh:mm:ss). - :vartype value_time: ~datetime.time - :ivar value_date_time: Value as dateTime. - :vartype value_date_time: str - :ivar value_period: Value as Period. - :vartype value_period: ~azure.healthinsights.radiologyinsights.models.Period - :ivar value_reference: Value as reference. - :vartype value_reference: ~azure.healthinsights.radiologyinsights.models.Reference - :ivar data_absent_reason: Why the component result is missing. - :vartype data_absent_reason: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar interpretation: High, low, normal, etc. - :vartype interpretation: list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - :ivar reference_range: Provides guide for interpretation of component result. - :vartype reference_range: - list[~azure.healthinsights.radiologyinsights.models.ObservationReferenceRange] - """ - - code: "_models.CodeableConcept" = rest_field() - """Type of component observation (code / type). Required.""" - value_quantity: Optional["_models.Quantity"] = rest_field(name="valueQuantity") - """Value as Quantity.""" - value_codeable_concept: Optional["_models.CodeableConcept"] = rest_field(name="valueCodeableConcept") - """Value as CodeableConcept.""" - value_string: Optional[str] = rest_field(name="valueString") - """Value as string.""" - value_boolean: Optional[bool] = rest_field(name="valueBoolean") - """Value as boolean.""" - value_integer: Optional[int] = rest_field(name="valueInteger") - """Value as integer.""" - value_range: Optional["_models.Range"] = rest_field(name="valueRange") - """Value as Range.""" - value_ratio: Optional["_models.Ratio"] = rest_field(name="valueRatio") - """Value as Ratio.""" - value_sampled_data: Optional["_models.SampledData"] = rest_field(name="valueSampledData") - """Value as SampledData.""" - value_time: Optional[datetime.time] = rest_field(name="valueTime") - """Value as time (hh:mm:ss).""" - value_date_time: Optional[str] = rest_field(name="valueDateTime") - """Value as dateTime.""" - value_period: Optional["_models.Period"] = rest_field(name="valuePeriod") - """Value as Period.""" - value_reference: Optional["_models.Reference"] = rest_field(name="valueReference") - """Value as reference.""" - data_absent_reason: Optional["_models.CodeableConcept"] = rest_field(name="dataAbsentReason") - """Why the component result is missing.""" - interpretation: Optional[List["_models.CodeableConcept"]] = rest_field() - """High, low, normal, etc.""" - reference_range: Optional[List["_models.ObservationReferenceRange"]] = rest_field(name="referenceRange") - """Provides guide for interpretation of component result.""" - - @overload - def __init__( - self, - *, - code: "_models.CodeableConcept", - id: Optional[str] = None, # pylint: disable=redefined-builtin - extension: Optional[List["_models.Extension"]] = None, - value_quantity: Optional["_models.Quantity"] = None, - value_codeable_concept: Optional["_models.CodeableConcept"] = None, - value_string: Optional[str] = None, - value_boolean: Optional[bool] = None, - value_integer: Optional[int] = None, - value_range: Optional["_models.Range"] = None, - value_ratio: Optional["_models.Ratio"] = None, - value_sampled_data: Optional["_models.SampledData"] = None, - value_time: Optional[datetime.time] = None, - value_date_time: Optional[str] = None, - value_period: Optional["_models.Period"] = None, - value_reference: Optional["_models.Reference"] = None, - data_absent_reason: Optional["_models.CodeableConcept"] = None, - interpretation: Optional[List["_models.CodeableConcept"]] = None, - reference_range: Optional[List["_models.ObservationReferenceRange"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class ObservationReferenceRange(_model_base.Model): - """Provides guide for interpretation of component result - Based on `FHIR Observation.referenceRange `_. - - :ivar low: Low Range, if relevant. - :vartype low: ~azure.healthinsights.radiologyinsights.models.Quantity - :ivar high: High Range, if relevant. - :vartype high: ~azure.healthinsights.radiologyinsights.models.Quantity - :ivar type: Reference range qualifier. - :vartype type: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar applies_to: Reference range population. - :vartype applies_to: list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - :ivar age: Applicable age range, if relevant. - :vartype age: ~azure.healthinsights.radiologyinsights.models.Range - :ivar text: Text based reference range in an observation. - :vartype text: str - """ - - low: Optional["_models.Quantity"] = rest_field() - """Low Range, if relevant.""" - high: Optional["_models.Quantity"] = rest_field() - """High Range, if relevant.""" - type: Optional["_models.CodeableConcept"] = rest_field() - """Reference range qualifier.""" - applies_to: Optional[List["_models.CodeableConcept"]] = rest_field(name="appliesTo") - """Reference range population.""" - age: Optional["_models.Range"] = rest_field() - """Applicable age range, if relevant.""" - text: Optional[str] = rest_field() - """Text based reference range in an observation.""" - - @overload - def __init__( - self, - *, - low: Optional["_models.Quantity"] = None, - high: Optional["_models.Quantity"] = None, - type: Optional["_models.CodeableConcept"] = None, - applies_to: Optional[List["_models.CodeableConcept"]] = None, - age: Optional["_models.Range"] = None, - text: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class OrderedProcedure(_model_base.Model): - """Procedure information. - - :ivar code: Procedure code. - :vartype code: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar description: Procedure description. - :vartype description: str - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - """ - - code: Optional["_models.CodeableConcept"] = rest_field() - """Procedure code.""" - description: Optional[str] = rest_field() - """Procedure description.""" - extension: Optional[List["_models.Extension"]] = rest_field() - """Additional Content defined by implementations.""" - - @overload - def __init__( - self, - *, - code: Optional["_models.CodeableConcept"] = None, - description: Optional[str] = None, - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class PatientDetails(_model_base.Model): - """Patient structured information, including demographics and known structured clinical - information. - - :ivar sex: The patient's sex. Known values are: "female", "male", and "unspecified". - :vartype sex: str or ~azure.healthinsights.radiologyinsights.models.PatientSex - :ivar birth_date: The patient's date of birth. - :vartype birth_date: ~datetime.date - :ivar clinical_info: Known clinical information for the patient, structured. - :vartype clinical_info: list[~azure.healthinsights.radiologyinsights.models.Resource] - """ - - sex: Optional[Union[str, "_models.PatientSex"]] = rest_field() - """The patient's sex. Known values are: \"female\", \"male\", and \"unspecified\".""" - birth_date: Optional[datetime.date] = rest_field(name="birthDate") - """The patient's date of birth.""" - clinical_info: Optional[List["_models.Resource"]] = rest_field(name="clinicalInfo") - """Known clinical information for the patient, structured.""" - - @overload - def __init__( - self, - *, - sex: Optional[Union[str, "_models.PatientSex"]] = None, - birth_date: Optional[datetime.date] = None, - clinical_info: Optional[List["_models.Resource"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class PatientDocument(_model_base.Model): - """A clinical document related to a patient. Document here is in the wide sense - not just a text - document (note). - - - :ivar type: The type of the patient document, such as 'note' (text document) or 'fhirBundle' - (FHIR JSON document). Required. Known values are: "note", "fhirBundle", "dicom", and - "genomicSequencing". - :vartype type: str or ~azure.healthinsights.radiologyinsights.models.DocumentType - :ivar clinical_type: The type of the clinical document. Known values are: "consultation", - "dischargeSummary", "historyAndPhysical", "radiologyReport", "procedure", "progress", - "laboratory", and "pathologyReport". - :vartype clinical_type: str or - ~azure.healthinsights.radiologyinsights.models.ClinicalDocumentType - :ivar id: A given identifier for the document. Has to be unique across all documents for a - single patient. Required. - :vartype id: str - :ivar language: A 2 letter ISO 639-1 representation of the language of the document. - :vartype language: str - :ivar created_at: The date and time when the document was created. - :vartype created_at: ~datetime.datetime - :ivar authors: Document author(s). - :vartype authors: list[~azure.healthinsights.radiologyinsights.models.DocumentAuthor] - :ivar specialty_type: specialty type the document. Known values are: "pathology" and - "radiology". - :vartype specialty_type: str or ~azure.healthinsights.radiologyinsights.models.SpecialtyType - :ivar administrative_metadata: Administrative metadata for the document. - :vartype administrative_metadata: - ~azure.healthinsights.radiologyinsights.models.DocumentAdministrativeMetadata - :ivar content: The content of the patient document. Required. - :vartype content: ~azure.healthinsights.radiologyinsights.models.DocumentContent - """ - - type: Union[str, "_models.DocumentType"] = rest_field() - """The type of the patient document, such as 'note' (text document) or 'fhirBundle' (FHIR JSON - document). Required. Known values are: \"note\", \"fhirBundle\", \"dicom\", and - \"genomicSequencing\".""" - clinical_type: Optional[Union[str, "_models.ClinicalDocumentType"]] = rest_field(name="clinicalType") - """The type of the clinical document. Known values are: \"consultation\", \"dischargeSummary\", - \"historyAndPhysical\", \"radiologyReport\", \"procedure\", \"progress\", \"laboratory\", and - \"pathologyReport\".""" - id: str = rest_field() - """A given identifier for the document. Has to be unique across all documents for a single - patient. Required.""" - language: Optional[str] = rest_field() - """A 2 letter ISO 639-1 representation of the language of the document.""" - created_at: Optional[datetime.datetime] = rest_field(name="createdAt", format="rfc3339") - """The date and time when the document was created.""" - authors: Optional[List["_models.DocumentAuthor"]] = rest_field() - """Document author(s).""" - specialty_type: Optional[Union[str, "_models.SpecialtyType"]] = rest_field(name="specialtyType") - """specialty type the document. Known values are: \"pathology\" and \"radiology\".""" - administrative_metadata: Optional["_models.DocumentAdministrativeMetadata"] = rest_field( - name="administrativeMetadata" - ) - """Administrative metadata for the document.""" - content: "_models.DocumentContent" = rest_field() - """The content of the patient document. Required.""" - - @overload - def __init__( - self, - *, - type: Union[str, "_models.DocumentType"], - id: str, # pylint: disable=redefined-builtin - content: "_models.DocumentContent", - clinical_type: Optional[Union[str, "_models.ClinicalDocumentType"]] = None, - language: Optional[str] = None, - created_at: Optional[datetime.datetime] = None, - authors: Optional[List["_models.DocumentAuthor"]] = None, - specialty_type: Optional[Union[str, "_models.SpecialtyType"]] = None, - administrative_metadata: Optional["_models.DocumentAdministrativeMetadata"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class PatientEncounter(_model_base.Model): - """visit/encounter information. - - - :ivar id: The id of the visit. Required. - :vartype id: str - :ivar period: Time period of the visit. - In case of admission, use timePeriod.start to indicate the admission time and timePeriod.end - to indicate the discharge time. - :vartype period: ~azure.healthinsights.radiologyinsights.models.TimePeriod - :ivar class_property: The class of the encounter. Known values are: "inpatient", "ambulatory", - "observation", "emergency", "virtual", and "healthHome". - :vartype class_property: str or ~azure.healthinsights.radiologyinsights.models.EncounterClass - """ - - id: str = rest_field() - """The id of the visit. Required.""" - period: Optional["_models.TimePeriod"] = rest_field() - """Time period of the visit. - In case of admission, use timePeriod.start to indicate the admission time and timePeriod.end to - indicate the discharge time.""" - class_property: Optional[Union[str, "_models.EncounterClass"]] = rest_field(name="class") - """The class of the encounter. Known values are: \"inpatient\", \"ambulatory\", \"observation\", - \"emergency\", \"virtual\", and \"healthHome\".""" - - @overload - def __init__( - self, - *, - id: str, # pylint: disable=redefined-builtin - period: Optional["_models.TimePeriod"] = None, - class_property: Optional[Union[str, "_models.EncounterClass"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class PatientRecord(_model_base.Model): - """A patient record, including their clinical information and data. - - - :ivar id: A given identifier for the patient. Has to be unique across all patients in a single - request. Required. - :vartype id: str - :ivar details: Patient structured information, including demographics and known structured - clinical information. - :vartype details: ~azure.healthinsights.radiologyinsights.models.PatientDetails - :ivar encounters: Patient encounters/visits. - :vartype encounters: list[~azure.healthinsights.radiologyinsights.models.PatientEncounter] - :ivar patient_documents: Patient unstructured clinical data, given as documents. - :vartype patient_documents: - list[~azure.healthinsights.radiologyinsights.models.PatientDocument] - """ - - id: str = rest_field() - """A given identifier for the patient. Has to be unique across all patients in a single request. - Required.""" - details: Optional["_models.PatientDetails"] = rest_field() - """Patient structured information, including demographics and known structured clinical - information.""" - encounters: Optional[List["_models.PatientEncounter"]] = rest_field() - """Patient encounters/visits.""" - patient_documents: Optional[List["_models.PatientDocument"]] = rest_field(name="patientDocuments") - """Patient unstructured clinical data, given as documents.""" - - @overload - def __init__( - self, - *, - id: str, # pylint: disable=redefined-builtin - details: Optional["_models.PatientDetails"] = None, - encounters: Optional[List["_models.PatientEncounter"]] = None, - patient_documents: Optional[List["_models.PatientDocument"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Period(Element): - """A time period defined by a start and end date and optionally time - Based on `FHIR Period `_. - - :ivar start: Starting time with inclusive boundary. - :vartype start: str - :ivar end: End time with inclusive boundary, if not ongoing. - :vartype end: str - """ - - start: Optional[str] = rest_field() - """Starting time with inclusive boundary.""" - end: Optional[str] = rest_field() - """End time with inclusive boundary, if not ongoing.""" - - @overload - def __init__( - self, - *, - start: Optional[str] = None, - end: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Quantity(Element): - """A measured or measurable amount - Based on `FHIR Quantity `_. - - :ivar value: Numerical value (with implicit precision). - :vartype value: float - :ivar comparator: < | <= | >= | > - how to understand the value. - :vartype comparator: str - :ivar unit: Unit representation. - :vartype unit: str - :ivar system: System that defines coded unit form. - :vartype system: str - :ivar code: Coded form of the unit. - :vartype code: str - """ - - value: Optional[float] = rest_field() - """Numerical value (with implicit precision).""" - comparator: Optional[str] = rest_field() - """< | <= | >= | > - how to understand the value.""" - unit: Optional[str] = rest_field() - """Unit representation.""" - system: Optional[str] = rest_field() - """System that defines coded unit form.""" - code: Optional[str] = rest_field() - """Coded form of the unit.""" - - @overload - def __init__( - self, - *, - value: Optional[float] = None, - comparator: Optional[str] = None, - unit: Optional[str] = None, - system: Optional[str] = None, - code: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class RadiologyCodeWithTypes(_model_base.Model): - """Radiology code with types : used in imaging procedure recommendation for contrast and view. - - - :ivar code: The SNOMED CT code indicates whether imaging was conducted with or without contrast - in the case of contrast, and in the case of views, it denotes the number of views. Required. - :vartype code: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - :ivar types: The collection of types will indicate the contrast substance used in the case of - contrast and, in the case of views, it will specify the types of views, such as lateral and - frontal, etc. Required. - :vartype types: list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - """ - - code: "_models.CodeableConcept" = rest_field() - """The SNOMED CT code indicates whether imaging was conducted with or without contrast in the case - of contrast, and in the case of views, it denotes the number of views. Required.""" - types: List["_models.CodeableConcept"] = rest_field() - """The collection of types will indicate the contrast substance used in the case of contrast and, - in the case of views, it will specify the types of views, such as lateral and frontal, etc. - Required.""" - - @overload - def __init__( - self, - *, - code: "_models.CodeableConcept", - types: List["_models.CodeableConcept"], - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class RadiologyInsightsData(_model_base.Model): - """Contains the list of patients, and configuration data. - - - :ivar patients: The list of patients, including their clinical information and data. Required. - :vartype patients: list[~azure.healthinsights.radiologyinsights.models.PatientRecord] - :ivar configuration: Configuration affecting the Radiology Insights model's inference. - :vartype configuration: - ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsModelConfiguration - """ - - patients: List["_models.PatientRecord"] = rest_field() - """The list of patients, including their clinical information and data. Required.""" - configuration: Optional["_models.RadiologyInsightsModelConfiguration"] = rest_field() - """Configuration affecting the Radiology Insights model's inference.""" - - @overload - def __init__( - self, - *, - patients: List["_models.PatientRecord"], - configuration: Optional["_models.RadiologyInsightsModelConfiguration"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class RadiologyInsightsInferenceOptions(_model_base.Model): - """Options regarding follow up recommendation inferences and finding inferences. - - :ivar followup_recommendation_options: Follow-up recommendation options. - :vartype followup_recommendation_options: - ~azure.healthinsights.radiologyinsights.models.FollowupRecommendationOptions - :ivar finding_options: Finding options. - :vartype finding_options: ~azure.healthinsights.radiologyinsights.models.FindingOptions - """ - - followup_recommendation_options: Optional["_models.FollowupRecommendationOptions"] = rest_field( - name="followupRecommendationOptions" - ) - """Follow-up recommendation options.""" - finding_options: Optional["_models.FindingOptions"] = rest_field(name="findingOptions") - """Finding options.""" - - @overload - def __init__( - self, - *, - followup_recommendation_options: Optional["_models.FollowupRecommendationOptions"] = None, - finding_options: Optional["_models.FindingOptions"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class RadiologyInsightsInferenceResult(_model_base.Model): - """The inference results for the Radiology Insights request. If field 'status' has value - 'succeeded', then field 'result' will contain an instance of RadiologyInsightsInferenceResult. - - - :ivar patient_results: Results for the patients given in the request. Required. - :vartype patient_results: - list[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsPatientResult] - :ivar model_version: The version of the model used for inference, expressed as the model date. - Required. - :vartype model_version: str - """ - - patient_results: List["_models.RadiologyInsightsPatientResult"] = rest_field(name="patientResults") - """Results for the patients given in the request. Required.""" - model_version: str = rest_field(name="modelVersion") - """The version of the model used for inference, expressed as the model date. Required.""" - - @overload - def __init__( - self, - *, - patient_results: List["_models.RadiologyInsightsPatientResult"], - model_version: str, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class RadiologyInsightsJob(_model_base.Model): - """Response for the Radiology Insights request. - - Readonly variables are only populated by the server, and will be ignored when sending a request. - - - :ivar job_data: The request data for the operation. - :vartype job_data: ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsData - :ivar result: The result of the operation. - :vartype result: - ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceResult - :ivar id: The unique ID of the job. Required. - :vartype id: str - :ivar status: The status of the job. Required. Known values are: "notStarted", "running", - "succeeded", "failed", and "canceled". - :vartype status: str or ~azure.healthinsights.radiologyinsights.models.JobStatus - :ivar created_at: The date and time when the processing job was created. - :vartype created_at: ~datetime.datetime - :ivar expires_at: The date and time when the processing job is set to expire. - :vartype expires_at: ~datetime.datetime - :ivar updated_at: The date and time when the processing job was last updated. - :vartype updated_at: ~datetime.datetime - :ivar error: Error object that describes the error when status is "Failed". - :vartype error: ~azure.core.HttpResponseError - """ - - job_data: Optional["_models.RadiologyInsightsData"] = rest_field(name="jobData", visibility=["read", "create"]) - """The request data for the operation.""" - result: Optional["_models.RadiologyInsightsInferenceResult"] = rest_field(visibility=["read"]) - """The result of the operation.""" - id: str = rest_field(visibility=["read"]) - """The unique ID of the job. Required.""" - status: Union[str, "_models.JobStatus"] = rest_field(visibility=["read"]) - """The status of the job. Required. Known values are: \"notStarted\", \"running\", \"succeeded\", - \"failed\", and \"canceled\".""" - created_at: Optional[datetime.datetime] = rest_field(name="createdAt", visibility=["read"], format="rfc3339") - """The date and time when the processing job was created.""" - expires_at: Optional[datetime.datetime] = rest_field(name="expiresAt", visibility=["read"], format="rfc3339") - """The date and time when the processing job is set to expire.""" - updated_at: Optional[datetime.datetime] = rest_field(name="updatedAt", visibility=["read"], format="rfc3339") - """The date and time when the processing job was last updated.""" - error: Optional[HttpResponseError] = rest_field(visibility=["read"]) - """Error object that describes the error when status is \"Failed\".""" - - @overload - def __init__( - self, - *, - job_data: Optional["_models.RadiologyInsightsData"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class RadiologyInsightsModelConfiguration(_model_base.Model): - """Configuration affecting the Radiology Insights model's inference. - - :ivar verbose: An indication whether the model should produce verbose output. - :vartype verbose: bool - :ivar include_evidence: An indication whether the model's output should include evidence for - the inferences. - :vartype include_evidence: bool - :ivar inference_types: This is a list of inference types to be inferred for the current - request. It could be used if only part of the Radiology Insights inferences are required. If - this list is omitted or empty, the model will return all the inference types. - :vartype inference_types: list[str or - ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceType] - :ivar inference_options: Options regarding follow up recommendation inferences and finding - inferences. - :vartype inference_options: - ~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInferenceOptions - :ivar locale: Local for the model to use. If not specified, the model will use the default - locale. - :vartype locale: str - """ - - verbose: Optional[bool] = rest_field() - """An indication whether the model should produce verbose output.""" - include_evidence: Optional[bool] = rest_field(name="includeEvidence") - """An indication whether the model's output should include evidence for the inferences.""" - inference_types: Optional[List[Union[str, "_models.RadiologyInsightsInferenceType"]]] = rest_field( - name="inferenceTypes" - ) - """This is a list of inference types to be inferred for the current request. It could be used if - only part of the Radiology Insights inferences are required. If this list is omitted or empty, - the model will return all the inference types.""" - inference_options: Optional["_models.RadiologyInsightsInferenceOptions"] = rest_field(name="inferenceOptions") - """Options regarding follow up recommendation inferences and finding inferences.""" - locale: Optional[str] = rest_field() - """Local for the model to use. If not specified, the model will use the default locale.""" - - @overload - def __init__( - self, - *, - verbose: Optional[bool] = None, - include_evidence: Optional[bool] = None, - inference_types: Optional[List[Union[str, "_models.RadiologyInsightsInferenceType"]]] = None, - inference_options: Optional["_models.RadiologyInsightsInferenceOptions"] = None, - locale: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class RadiologyInsightsPatientResult(_model_base.Model): - """Results of the model's work for a single patient. - - - :ivar patient_id: Identifier given for the patient in the request. Required. - :vartype patient_id: str - :ivar inferences: The model's inferences for the given patient. Required. - :vartype inferences: - list[~azure.healthinsights.radiologyinsights.models.RadiologyInsightsInference] - """ - - patient_id: str = rest_field(name="patientId") - """Identifier given for the patient in the request. Required.""" - inferences: List["_models.RadiologyInsightsInference"] = rest_field() - """The model's inferences for the given patient. Required.""" - - @overload - def __init__( - self, - *, - patient_id: str, - inferences: List["_models.RadiologyInsightsInference"], - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class RadiologyProcedureInference(RadiologyInsightsInference, discriminator="radiologyProcedure"): - """Radiology procedures are the specific imaging studies or examinations ordered for the patient, - extracted from the document information and text. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Radiology Procedure inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.RADIOLOGY_PROCEDURE - :ivar procedure_codes: LOINC codes for the procedure. - :vartype procedure_codes: list[~azure.healthinsights.radiologyinsights.models.CodeableConcept] - :ivar imaging_procedures: Imaging procedures. Required. - :vartype imaging_procedures: - list[~azure.healthinsights.radiologyinsights.models.ImagingProcedure] - :ivar ordered_procedure: Ordered procedure information from the document information or text. - Required. - :vartype ordered_procedure: ~azure.healthinsights.radiologyinsights.models.OrderedProcedure - """ - - kind: Literal[RadiologyInsightsInferenceType.RADIOLOGY_PROCEDURE] = rest_discriminator(name="kind") # type: ignore - """Inference type. Required. Radiology Procedure inference type""" - procedure_codes: Optional[List["_models.CodeableConcept"]] = rest_field(name="procedureCodes") - """LOINC codes for the procedure.""" - imaging_procedures: List["_models.ImagingProcedure"] = rest_field(name="imagingProcedures") - """Imaging procedures. Required.""" - ordered_procedure: "_models.OrderedProcedure" = rest_field(name="orderedProcedure") - """Ordered procedure information from the document information or text. Required.""" - - @overload - def __init__( - self, - *, - imaging_procedures: List["_models.ImagingProcedure"], - ordered_procedure: "_models.OrderedProcedure", - extension: Optional[List["_models.Extension"]] = None, - procedure_codes: Optional[List["_models.CodeableConcept"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.RADIOLOGY_PROCEDURE, **kwargs) - - -class Range(Element): - """A set of ordered Quantities defined by a low and high limit - Based on `FHIR Range `_. - - :ivar low: Low limit. - :vartype low: ~azure.healthinsights.radiologyinsights.models.Quantity - :ivar high: High limit. - :vartype high: ~azure.healthinsights.radiologyinsights.models.Quantity - """ - - low: Optional["_models.Quantity"] = rest_field() - """Low limit.""" - high: Optional["_models.Quantity"] = rest_field() - """High limit.""" - - @overload - def __init__( - self, - *, - low: Optional["_models.Quantity"] = None, - high: Optional["_models.Quantity"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Ratio(Element): - """A ratio of two Quantity values - a numerator and a denominator - Based on `FHIR Ratio `_. - - :ivar numerator: Numerator value. - :vartype numerator: ~azure.healthinsights.radiologyinsights.models.Quantity - :ivar denominator: Denominator value. - :vartype denominator: ~azure.healthinsights.radiologyinsights.models.Quantity - """ - - numerator: Optional["_models.Quantity"] = rest_field() - """Numerator value.""" - denominator: Optional["_models.Quantity"] = rest_field() - """Denominator value.""" - - @overload - def __init__( - self, - *, - numerator: Optional["_models.Quantity"] = None, - denominator: Optional["_models.Quantity"] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class RecommendationFinding(_model_base.Model): - """Finding reference for recommendation. - - - :ivar finding: Finding linked to a recommendation. - :vartype finding: ~azure.healthinsights.radiologyinsights.models.Observation - :ivar critical_finding: Critical result linked to a recommendation. - :vartype critical_finding: ~azure.healthinsights.radiologyinsights.models.CriticalResult - :ivar recommendation_finding_status: Recommendation finding status. Required. Known values are: - "present", "differential", "ruleOut", and "conditional". - :vartype recommendation_finding_status: str or - ~azure.healthinsights.radiologyinsights.models.RecommendationFindingStatusType - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - """ - - finding: Optional["_models.Observation"] = rest_field() - """Finding linked to a recommendation.""" - critical_finding: Optional["_models.CriticalResult"] = rest_field(name="criticalFinding") - """Critical result linked to a recommendation.""" - recommendation_finding_status: Union[str, "_models.RecommendationFindingStatusType"] = rest_field( - name="recommendationFindingStatus" - ) - """Recommendation finding status. Required. Known values are: \"present\", \"differential\", - \"ruleOut\", and \"conditional\".""" - extension: Optional[List["_models.Extension"]] = rest_field() - """Additional Content defined by implementations.""" - - @overload - def __init__( - self, - *, - recommendation_finding_status: Union[str, "_models.RecommendationFindingStatusType"], - finding: Optional["_models.Observation"] = None, - critical_finding: Optional["_models.CriticalResult"] = None, - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class Reference(Element): - """A reference from one resource to another - Based on `FHIR Reference `_. - - :ivar reference: Literal reference, Relative, internal or absolute URL. - :vartype reference: str - :ivar type: Type the reference refers to (e.g. "Patient"). - :vartype type: str - :ivar identifier: Logical reference, when literal reference is not known. - :vartype identifier: ~azure.healthinsights.radiologyinsights.models.Identifier - :ivar display: Text alternative for the resource. - :vartype display: str - """ - - reference: Optional[str] = rest_field() - """Literal reference, Relative, internal or absolute URL.""" - type: Optional[str] = rest_field() - """Type the reference refers to (e.g. \"Patient\").""" - identifier: Optional["_models.Identifier"] = rest_field() - """Logical reference, when literal reference is not known.""" - display: Optional[str] = rest_field() - """Text alternative for the resource.""" - - @overload - def __init__( - self, - *, - reference: Optional[str] = None, - type: Optional[str] = None, - identifier: Optional["_models.Identifier"] = None, - display: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class SampledData(Element): - """A series of measurements taken by a device - Based on `FHIR SampledData `_. - - - :ivar origin: Zero value and units. Required. - :vartype origin: ~azure.healthinsights.radiologyinsights.models.Quantity - :ivar period: Number of milliseconds between samples. Required. - :vartype period: float - :ivar factor: Multiply data by this before adding to origin. - :vartype factor: float - :ivar lower_limit: Lower limit of detection. - :vartype lower_limit: float - :ivar upper_limit: Upper limit of detection. - :vartype upper_limit: float - :ivar dimensions: Number of sample points at each time point. Required. - :vartype dimensions: int - :ivar data: Decimal values with spaces, or "E" | "U" | "L". - :vartype data: str - """ - - origin: "_models.Quantity" = rest_field() - """Zero value and units. Required.""" - period: float = rest_field() - """Number of milliseconds between samples. Required.""" - factor: Optional[float] = rest_field() - """Multiply data by this before adding to origin.""" - lower_limit: Optional[float] = rest_field(name="lowerLimit") - """Lower limit of detection.""" - upper_limit: Optional[float] = rest_field(name="upperLimit") - """Upper limit of detection.""" - dimensions: int = rest_field() - """Number of sample points at each time point. Required.""" - data: Optional[str] = rest_field() - """Decimal values with spaces, or \"E\" | \"U\" | \"L\".""" - - @overload - def __init__( - self, - *, - origin: "_models.Quantity", - period: float, - dimensions: int, - factor: Optional[float] = None, - lower_limit: Optional[float] = None, - upper_limit: Optional[float] = None, - data: Optional[str] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) - - -class SexMismatchInference(RadiologyInsightsInference, discriminator="sexMismatch"): - """A notification for a sex mismatch is displayed when the gender, personal pronouns, - gender-related body parts, or gender-related procedures mentioned in a patient's clinical - document are either inconsistent or do not match the gender specified in the patient - information. - - - :ivar extension: Additional Content defined by implementations. - :vartype extension: list[~azure.healthinsights.radiologyinsights.models.Extension] - :ivar kind: Inference type. Required. Sex mismatch inference type - :vartype kind: str or ~azure.healthinsights.radiologyinsights.models.SEX_MISMATCH - :ivar sex_indication: Sex indication : SNOMED CT code for gender finding. Required. - :vartype sex_indication: ~azure.healthinsights.radiologyinsights.models.CodeableConcept - """ - - kind: Literal[RadiologyInsightsInferenceType.SEX_MISMATCH] = rest_discriminator(name="kind") # type: ignore - """Inference type. Required. Sex mismatch inference type""" - sex_indication: "_models.CodeableConcept" = rest_field(name="sexIndication") - """Sex indication : SNOMED CT code for gender finding. Required.""" - - @overload - def __init__( - self, - *, - sex_indication: "_models.CodeableConcept", - extension: Optional[List["_models.Extension"]] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, kind=RadiologyInsightsInferenceType.SEX_MISMATCH, **kwargs) - - -class TimePeriod(_model_base.Model): - """A duration of time during which an event is happening. - - :ivar start: Starting time with inclusive boundary. - :vartype start: ~datetime.datetime - :ivar end: End time with inclusive boundary, if not ongoing. - :vartype end: ~datetime.datetime - """ - - start: Optional[datetime.datetime] = rest_field(format="rfc3339") - """Starting time with inclusive boundary.""" - end: Optional[datetime.datetime] = rest_field(format="rfc3339") - """End time with inclusive boundary, if not ongoing.""" - - @overload - def __init__( - self, - *, - start: Optional[datetime.datetime] = None, - end: Optional[datetime.datetime] = None, - ): ... - - @overload - def __init__(self, mapping: Mapping[str, Any]): - """ - :param mapping: raw JSON to initialize the model. - :type mapping: Mapping[str, Any] - """ - - def __init__(self, *args: Any, **kwargs: Any) -> None: # pylint: disable=useless-super-delegation - super().__init__(*args, **kwargs) diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/_patch.py b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/_patch.py deleted file mode 100644 index f7dd32510333..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/models/_patch.py +++ /dev/null @@ -1,20 +0,0 @@ -# ------------------------------------ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. -# ------------------------------------ -"""Customize generated code here. - -Follow our quickstart for examples: https://aka.ms/azsdk/python/dpcodegen/python/customize -""" -from typing import List - -__all__: List[str] = [] # Add all objects you want publicly available to users at this package level - - -def patch_sdk(): - """Do not remove from this file. - - `patch_sdk` is a last resort escape hatch that allows you to do customizations - you can't accomplish using the techniques described in - https://aka.ms/azsdk/python/dpcodegen/python/customize - """ diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/py.typed b/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/py.typed deleted file mode 100644 index e5aff4f83af8..000000000000 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/azure/healthinsights/radiologyinsights/py.typed +++ /dev/null @@ -1 +0,0 @@ -# Marker file for PEP 561. \ No newline at end of file diff --git a/sdk/healthinsights/azure-healthinsights-radiologyinsights/tsp-location.yaml b/sdk/healthinsights/azure-healthinsights-radiologyinsights/tsp-location.yaml index 93646ace46f4..76db52774fe7 100644 --- a/sdk/healthinsights/azure-healthinsights-radiologyinsights/tsp-location.yaml +++ b/sdk/healthinsights/azure-healthinsights-radiologyinsights/tsp-location.yaml @@ -1,7 +1,4 @@ directory: specification/ai/HealthInsights/HealthInsights.RadiologyInsights -additionalDirectories: -- specification/ai/HealthInsights/HealthInsights.Common/ -- specification/ai/HealthInsights/HealthInsights.OpenAPI/ +commit: eaaef41ddeb7e5e2f4025c7ce714c4a36f06dcd5 repo: Azure/azure-rest-api-specs -commit: db63bea839f5648462c94e685d5cc96f8e8b38ba - +additionalDirectories: