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Update APIs to 8.1-SNAPSHOT
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@sethmlarson
sethmlarson committed Feb 28, 2022
1 parent eef5ba0 commit 7d7b8ed
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Showing 2 changed files with 96 additions and 12 deletions.
54 changes: 48 additions & 6 deletions elasticsearch/_async/client/cat.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -1091,13 +1091,57 @@ async def ml_trained_models(
] = None,
format: t.Optional[str] = None,
from_: t.Optional[int] = None,
h: t.Optional[t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]] = None,
h: t.Optional[
t.Union[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
],
t.Union[
t.List[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
]
],
t.Tuple[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
],
...,
],
],
]
] = None,
help: t.Optional[bool] = None,
human: t.Optional[bool] = None,
local: t.Optional[bool] = None,
master_timeout: t.Optional[t.Union[int, str]] = None,
pretty: t.Optional[bool] = None,
s: t.Optional[t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]] = None,
s: t.Optional[
t.Union[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
],
t.Union[
t.List[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
]
],
t.Tuple[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
],
...,
],
],
]
] = None,
size: t.Optional[int] = None,
v: t.Optional[bool] = None,
) -> t.Union[ObjectApiResponse[t.Any], TextApiResponse]:
Expand All @@ -1114,17 +1158,15 @@ async def ml_trained_models(
:param format: Specifies the format to return the columnar data in, can be set
to `text`, `json`, `cbor`, `yaml`, or `smile`.
:param from_: skips a number of trained models
:param h: List of columns to appear in the response. Supports simple wildcards.
:param h: Comma-separated list of column names to display
:param help: When set to `true` will output available columns. This option can't
be combined with any other query string option.
:param local: If `true`, the request computes the list of selected nodes from
the local cluster state. If `false` the list of selected nodes are computed
from the cluster state of the master node. In both cases the coordinating
node will send requests for further information to each selected node.
:param master_timeout: Period to wait for a connection to the master node.
:param s: List of columns that determine how the table should be sorted. Sorting
defaults to ascending and can be changed by setting `:asc` or `:desc` as
a suffix to the column name.
:param s: Comma-separated list of column names or column aliases to sort by
:param size: specifies a max number of trained models to get
:param v: When set to `true` will enable verbose output.
"""
Expand Down
54 changes: 48 additions & 6 deletions elasticsearch/_sync/client/cat.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -1091,13 +1091,57 @@ def ml_trained_models(
] = None,
format: t.Optional[str] = None,
from_: t.Optional[int] = None,
h: t.Optional[t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]] = None,
h: t.Optional[
t.Union[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
],
t.Union[
t.List[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
]
],
t.Tuple[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
],
...,
],
],
]
] = None,
help: t.Optional[bool] = None,
human: t.Optional[bool] = None,
local: t.Optional[bool] = None,
master_timeout: t.Optional[t.Union[int, str]] = None,
pretty: t.Optional[bool] = None,
s: t.Optional[t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]] = None,
s: t.Optional[
t.Union[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
],
t.Union[
t.List[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
]
],
t.Tuple[
t.Union[
"t.Literal['create_time', 'created_by', 'data_frame_analytics_id', 'description', 'heap_size', 'id', 'ingest.count', 'ingest.current', 'ingest.failed', 'ingest.pipelines', 'ingest.time', 'license', 'operations', 'version']",
str,
],
...,
],
],
]
] = None,
size: t.Optional[int] = None,
v: t.Optional[bool] = None,
) -> t.Union[ObjectApiResponse[t.Any], TextApiResponse]:
Expand All @@ -1114,17 +1158,15 @@ def ml_trained_models(
:param format: Specifies the format to return the columnar data in, can be set
to `text`, `json`, `cbor`, `yaml`, or `smile`.
:param from_: skips a number of trained models
:param h: List of columns to appear in the response. Supports simple wildcards.
:param h: Comma-separated list of column names to display
:param help: When set to `true` will output available columns. This option can't
be combined with any other query string option.
:param local: If `true`, the request computes the list of selected nodes from
the local cluster state. If `false` the list of selected nodes are computed
from the cluster state of the master node. In both cases the coordinating
node will send requests for further information to each selected node.
:param master_timeout: Period to wait for a connection to the master node.
:param s: List of columns that determine how the table should be sorted. Sorting
defaults to ascending and can be changed by setting `:asc` or `:desc` as
a suffix to the column name.
:param s: Comma-separated list of column names or column aliases to sort by
:param size: specifies a max number of trained models to get
:param v: When set to `true` will enable verbose output.
"""
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