mirror of
https://github.com/qdrant/qdrant-client.git
synced 2026-07-26 20:51:09 -05:00
* new: update models to 1.18, add create_named_vector and delete_named_vector * fix: add missing strict mode config updates * fix: fix local mode create and delete vector name * new: update turbo quant fields * fix: persist vector deletion
297 lines
7.9 KiB
Python
297 lines
7.9 KiB
Python
# flake8: noqa E501
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from typing import TYPE_CHECKING, Any, Dict, Set, TypeVar, Union
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from pydantic import BaseModel
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from pydantic.main import BaseModel
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from pydantic.version import VERSION as PYDANTIC_VERSION
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from qdrant_client.http.models import *
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from qdrant_client.http.models import models as m
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PYDANTIC_V2 = PYDANTIC_VERSION.startswith("2.")
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Model = TypeVar("Model", bound="BaseModel")
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SetIntStr = Set[Union[int, str]]
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DictIntStrAny = Dict[Union[int, str], Any]
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file = None
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def to_json(model: BaseModel, *args: Any, **kwargs: Any) -> str:
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if PYDANTIC_V2:
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return model.model_dump_json(*args, **kwargs)
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else:
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return model.json(*args, **kwargs)
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def jsonable_encoder(
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obj: Any,
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include: Union[SetIntStr, DictIntStrAny] = None,
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exclude=None,
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by_alias: bool = True,
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skip_defaults: bool = None,
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exclude_unset: bool = True,
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exclude_none: bool = True,
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):
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if hasattr(obj, "json") or hasattr(obj, "model_dump_json"):
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return to_json(
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obj,
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include=include,
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exclude=exclude,
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by_alias=by_alias,
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exclude_unset=bool(exclude_unset or skip_defaults),
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exclude_none=exclude_none,
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)
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return obj
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if TYPE_CHECKING:
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from qdrant_client.http.api_client import ApiClient
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class _ServiceApi:
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def __init__(self, api_client: "Union[ApiClient, AsyncApiClient]"):
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self.api_client = api_client
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def _build_for_healthz(
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self,
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):
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"""
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An endpoint for health checking used in Kubernetes.
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"""
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headers = {}
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return self.api_client.request(
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type_=str,
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method="GET",
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url="/healthz",
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headers=headers if headers else None,
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)
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def _build_for_livez(
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self,
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):
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"""
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An endpoint for health checking used in Kubernetes.
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"""
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headers = {}
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return self.api_client.request(
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type_=str,
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method="GET",
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url="/livez",
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headers=headers if headers else None,
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)
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def _build_for_metrics(
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self,
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anonymize: bool = None,
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per_collection: bool = None,
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timeout: int = None,
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):
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"""
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Collect metrics data including app info, collections info, cluster info and statistics
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"""
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query_params = {}
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if anonymize is not None:
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query_params["anonymize"] = str(anonymize).lower()
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if per_collection is not None:
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query_params["per_collection"] = str(per_collection).lower()
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if timeout is not None:
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query_params["timeout"] = str(timeout)
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headers = {}
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return self.api_client.request(
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type_=str,
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method="GET",
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url="/metrics",
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headers=headers if headers else None,
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params=query_params,
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)
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def _build_for_readyz(
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self,
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):
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"""
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An endpoint for health checking used in Kubernetes.
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"""
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headers = {}
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return self.api_client.request(
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type_=str,
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method="GET",
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url="/readyz",
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headers=headers if headers else None,
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)
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def _build_for_root(
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self,
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):
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"""
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Returns information about the running Qdrant instance like version and commit id
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"""
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headers = {}
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return self.api_client.request(
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type_=m.VersionInfo,
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method="GET",
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url="/",
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headers=headers if headers else None,
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)
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def _build_for_telemetry(
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self,
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anonymize: bool = None,
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details_level: int = None,
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per_collection: bool = None,
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timeout: int = None,
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):
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"""
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Collect telemetry data including app info, system info, collections info, cluster info, configs and statistics
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"""
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query_params = {}
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if anonymize is not None:
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query_params["anonymize"] = str(anonymize).lower()
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if details_level is not None:
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query_params["details_level"] = str(details_level)
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if per_collection is not None:
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query_params["per_collection"] = str(per_collection).lower()
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if timeout is not None:
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query_params["timeout"] = str(timeout)
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headers = {}
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return self.api_client.request(
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type_=m.InlineResponse2002,
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method="GET",
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url="/telemetry",
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headers=headers if headers else None,
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params=query_params,
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)
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class AsyncServiceApi(_ServiceApi):
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async def healthz(
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self,
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) -> str:
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"""
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An endpoint for health checking used in Kubernetes.
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"""
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return await self._build_for_healthz()
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async def livez(
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self,
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) -> str:
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"""
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An endpoint for health checking used in Kubernetes.
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"""
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return await self._build_for_livez()
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async def metrics(
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self,
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anonymize: bool = None,
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per_collection: bool = None,
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timeout: int = None,
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) -> str:
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"""
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Collect metrics data including app info, collections info, cluster info and statistics
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"""
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return await self._build_for_metrics(
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anonymize=anonymize,
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per_collection=per_collection,
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timeout=timeout,
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)
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async def readyz(
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self,
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) -> str:
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"""
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An endpoint for health checking used in Kubernetes.
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"""
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return await self._build_for_readyz()
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async def root(
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self,
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) -> m.VersionInfo:
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"""
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Returns information about the running Qdrant instance like version and commit id
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"""
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return await self._build_for_root()
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async def telemetry(
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self,
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anonymize: bool = None,
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details_level: int = None,
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per_collection: bool = None,
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timeout: int = None,
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) -> m.InlineResponse2002:
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"""
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Collect telemetry data including app info, system info, collections info, cluster info, configs and statistics
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"""
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return await self._build_for_telemetry(
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anonymize=anonymize,
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details_level=details_level,
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per_collection=per_collection,
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timeout=timeout,
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)
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class SyncServiceApi(_ServiceApi):
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def healthz(
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self,
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) -> str:
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"""
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An endpoint for health checking used in Kubernetes.
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"""
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return self._build_for_healthz()
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def livez(
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self,
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) -> str:
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"""
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An endpoint for health checking used in Kubernetes.
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"""
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return self._build_for_livez()
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def metrics(
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self,
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anonymize: bool = None,
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per_collection: bool = None,
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timeout: int = None,
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) -> str:
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"""
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Collect metrics data including app info, collections info, cluster info and statistics
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"""
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return self._build_for_metrics(
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anonymize=anonymize,
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per_collection=per_collection,
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timeout=timeout,
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)
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def readyz(
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self,
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) -> str:
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"""
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An endpoint for health checking used in Kubernetes.
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"""
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return self._build_for_readyz()
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def root(
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self,
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) -> m.VersionInfo:
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"""
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Returns information about the running Qdrant instance like version and commit id
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"""
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return self._build_for_root()
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def telemetry(
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self,
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anonymize: bool = None,
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details_level: int = None,
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per_collection: bool = None,
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timeout: int = None,
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) -> m.InlineResponse2002:
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"""
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Collect telemetry data including app info, system info, collections info, cluster info, configs and statistics
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"""
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return self._build_for_telemetry(
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anonymize=anonymize,
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details_level=details_level,
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per_collection=per_collection,
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timeout=timeout,
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)
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