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Update generated code (#33)
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This adds the Inference API
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@pquentin
pquentin authored Apr 9, 2024
1 parent 917ad0b commit 34deed5
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Showing 42 changed files with 2,012 additions and 3,458 deletions.
6 changes: 6 additions & 0 deletions docs/sphinx/api.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -66,6 +66,12 @@ Indices
.. autoclass:: IndicesClient
:members:

Inference
---------

.. autoclass:: InferenceClient
:members:

Ingest Pipelines
----------------

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563 changes: 161 additions & 402 deletions elasticsearch_serverless/_async/client/__init__.py
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85 changes: 20 additions & 65 deletions elasticsearch_serverless/_async/client/async_search.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,15 +24,14 @@


class AsyncSearchClient(NamespacedClient):

@_rewrite_parameters()
async def delete(
self,
*,
id: str,
error_trace: t.Optional[bool] = None,
filter_path: t.Optional[
t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]
] = None,
filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
human: t.Optional[bool] = None,
pretty: t.Optional[bool] = None,
) -> ObjectApiResponse[t.Any]:
Expand Down Expand Up @@ -67,9 +66,7 @@ async def get(
*,
id: str,
error_trace: t.Optional[bool] = None,
filter_path: t.Optional[
t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]
] = None,
filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
human: t.Optional[bool] = None,
keep_alive: t.Optional[t.Union["t.Literal[-1]", "t.Literal[0]", str]] = None,
pretty: t.Optional[bool] = None,
Expand Down Expand Up @@ -129,9 +126,7 @@ async def status(
*,
id: str,
error_trace: t.Optional[bool] = None,
filter_path: t.Optional[
t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]
] = None,
filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
human: t.Optional[bool] = None,
pretty: t.Optional[bool] = None,
) -> ObjectApiResponse[t.Any]:
Expand Down Expand Up @@ -172,7 +167,7 @@ async def status(
async def submit(
self,
*,
index: t.Optional[t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]] = None,
index: t.Optional[t.Union[str, t.Sequence[str]]] = None,
aggregations: t.Optional[t.Mapping[str, t.Mapping[str, t.Any]]] = None,
aggs: t.Optional[t.Mapping[str, t.Mapping[str, t.Any]]] = None,
allow_no_indices: t.Optional[bool] = None,
Expand All @@ -184,53 +179,30 @@ async def submit(
collapse: t.Optional[t.Mapping[str, t.Any]] = None,
default_operator: t.Optional[t.Union["t.Literal['and', 'or']", str]] = None,
df: t.Optional[str] = None,
docvalue_fields: t.Optional[
t.Union[t.List[t.Mapping[str, t.Any]], t.Tuple[t.Mapping[str, t.Any], ...]]
] = None,
docvalue_fields: t.Optional[t.Sequence[t.Mapping[str, t.Any]]] = None,
error_trace: t.Optional[bool] = None,
expand_wildcards: t.Optional[
t.Union[
t.Union["t.Literal['all', 'closed', 'hidden', 'none', 'open']", str],
t.Union[
t.List[
t.Union[
"t.Literal['all', 'closed', 'hidden', 'none', 'open']", str
]
],
t.Tuple[
t.Union[
"t.Literal['all', 'closed', 'hidden', 'none', 'open']", str
],
...,
],
t.Sequence[
t.Union["t.Literal['all', 'closed', 'hidden', 'none', 'open']", str]
],
t.Union["t.Literal['all', 'closed', 'hidden', 'none', 'open']", str],
]
] = None,
explain: t.Optional[bool] = None,
ext: t.Optional[t.Mapping[str, t.Any]] = None,
fields: t.Optional[
t.Union[t.List[t.Mapping[str, t.Any]], t.Tuple[t.Mapping[str, t.Any], ...]]
] = None,
filter_path: t.Optional[
t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]
] = None,
fields: t.Optional[t.Sequence[t.Mapping[str, t.Any]]] = None,
filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
from_: t.Optional[int] = None,
highlight: t.Optional[t.Mapping[str, t.Any]] = None,
human: t.Optional[bool] = None,
ignore_throttled: t.Optional[bool] = None,
ignore_unavailable: t.Optional[bool] = None,
indices_boost: t.Optional[
t.Union[t.List[t.Mapping[str, float]], t.Tuple[t.Mapping[str, float], ...]]
] = None,
indices_boost: t.Optional[t.Sequence[t.Mapping[str, float]]] = None,
keep_alive: t.Optional[t.Union["t.Literal[-1]", "t.Literal[0]", str]] = None,
keep_on_completion: t.Optional[bool] = None,
knn: t.Optional[
t.Union[
t.Mapping[str, t.Any],
t.Union[
t.List[t.Mapping[str, t.Any]], t.Tuple[t.Mapping[str, t.Any], ...]
],
]
t.Union[t.Mapping[str, t.Any], t.Sequence[t.Mapping[str, t.Any]]]
] = None,
lenient: t.Optional[bool] = None,
max_concurrent_shard_requests: t.Optional[int] = None,
Expand All @@ -246,23 +218,15 @@ async def submit(
query: t.Optional[t.Mapping[str, t.Any]] = None,
request_cache: t.Optional[bool] = None,
rescore: t.Optional[
t.Union[
t.Mapping[str, t.Any],
t.Union[
t.List[t.Mapping[str, t.Any]], t.Tuple[t.Mapping[str, t.Any], ...]
],
]
t.Union[t.Mapping[str, t.Any], t.Sequence[t.Mapping[str, t.Any]]]
] = None,
rest_total_hits_as_int: t.Optional[bool] = None,
routing: t.Optional[str] = None,
runtime_mappings: t.Optional[t.Mapping[str, t.Mapping[str, t.Any]]] = None,
script_fields: t.Optional[t.Mapping[str, t.Mapping[str, t.Any]]] = None,
scroll: t.Optional[t.Union["t.Literal[-1]", "t.Literal[0]", str]] = None,
search_after: t.Optional[
t.Union[
t.List[t.Union[None, bool, float, int, str, t.Any]],
t.Tuple[t.Union[None, bool, float, int, str, t.Any], ...],
]
t.Sequence[t.Union[None, bool, float, int, str, t.Any]]
] = None,
search_type: t.Optional[
t.Union["t.Literal['dfs_query_then_fetch', 'query_then_fetch']", str]
Expand All @@ -272,24 +236,15 @@ async def submit(
slice: t.Optional[t.Mapping[str, t.Any]] = None,
sort: t.Optional[
t.Union[
t.Sequence[t.Union[str, t.Mapping[str, t.Any]]],
t.Union[str, t.Mapping[str, t.Any]],
t.Union[
t.List[t.Union[str, t.Mapping[str, t.Any]]],
t.Tuple[t.Union[str, t.Mapping[str, t.Any]], ...],
],
]
] = None,
source: t.Optional[t.Union[bool, t.Mapping[str, t.Any]]] = None,
source_excludes: t.Optional[
t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]
] = None,
source_includes: t.Optional[
t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]
] = None,
stats: t.Optional[t.Union[t.List[str], t.Tuple[str, ...]]] = None,
stored_fields: t.Optional[
t.Union[str, t.Union[t.List[str], t.Tuple[str, ...]]]
] = None,
source_excludes: t.Optional[t.Union[str, t.Sequence[str]]] = None,
source_includes: t.Optional[t.Union[str, t.Sequence[str]]] = None,
stats: t.Optional[t.Sequence[str]] = None,
stored_fields: t.Optional[t.Union[str, t.Sequence[str]]] = None,
suggest: t.Optional[t.Mapping[str, t.Any]] = None,
suggest_field: t.Optional[str] = None,
suggest_mode: t.Optional[
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