Files
qdrant-client/qdrant_client/http/api/service_api.py
George 63f69540a6 Update models 1.17 (#1154)
* new: update models, add conversions, add conversion tests

* new: add list shard keys, add get_optimizations

* new: add weights to rrf

* new: add cluster telemetry

* new: add update_mode usage

* fix: fix mypy

* fix: populate inspection cache

* use RRF ranking as in the core

* timeouts propagation

* gen async clients

* implement score threshold for formular

* new: add tests for update mode

* fix: fix test skip comment

* Relevance feedback local mode (#1152)

* AI: implement local computation

prompt: Considering the implementation in the server, make the local
python implementation of the same scores calculation in this file:
[@distances.py](...), consider that the local mode calculates for all
points at once, while the server does it point by point.

Server impl:
```
...
```

* use constant for MARGIN

* relevance feedback integration and test

* do not exclude relevance context from result

* Revert "do not exclude relevance context from result"

This reverts commit 9c2a5cedc0.

---------

Co-authored-by: generall <andrey@vasnetsov.com>

* fix: fix conversion test

---------

Co-authored-by: generall <andrey@vasnetsov.com>
Co-authored-by: Luis Cossío <luis.cossio@qdrant.com>
2026-02-19 22:32:01 +07:00

283 lines
7.3 KiB
Python

# flake8: noqa E501
from typing import TYPE_CHECKING, Any, Dict, Set, TypeVar, Union
from pydantic import BaseModel
from pydantic.main import BaseModel
from pydantic.version import VERSION as PYDANTIC_VERSION
from qdrant_client.http.models import *
from qdrant_client.http.models import models as m
PYDANTIC_V2 = PYDANTIC_VERSION.startswith("2.")
Model = TypeVar("Model", bound="BaseModel")
SetIntStr = Set[Union[int, str]]
DictIntStrAny = Dict[Union[int, str], Any]
file = None
def to_json(model: BaseModel, *args: Any, **kwargs: Any) -> str:
if PYDANTIC_V2:
return model.model_dump_json(*args, **kwargs)
else:
return model.json(*args, **kwargs)
def jsonable_encoder(
obj: Any,
include: Union[SetIntStr, DictIntStrAny] = None,
exclude=None,
by_alias: bool = True,
skip_defaults: bool = None,
exclude_unset: bool = True,
exclude_none: bool = True,
):
if hasattr(obj, "json") or hasattr(obj, "model_dump_json"):
return to_json(
obj,
include=include,
exclude=exclude,
by_alias=by_alias,
exclude_unset=bool(exclude_unset or skip_defaults),
exclude_none=exclude_none,
)
return obj
if TYPE_CHECKING:
from qdrant_client.http.api_client import ApiClient
class _ServiceApi:
def __init__(self, api_client: "Union[ApiClient, AsyncApiClient]"):
self.api_client = api_client
def _build_for_healthz(
self,
):
"""
An endpoint for health checking used in Kubernetes.
"""
headers = {}
return self.api_client.request(
type_=str,
method="GET",
url="/healthz",
headers=headers if headers else None,
)
def _build_for_livez(
self,
):
"""
An endpoint for health checking used in Kubernetes.
"""
headers = {}
return self.api_client.request(
type_=str,
method="GET",
url="/livez",
headers=headers if headers else None,
)
def _build_for_metrics(
self,
anonymize: bool = None,
timeout: int = None,
):
"""
Collect metrics data including app info, collections info, cluster info and statistics
"""
query_params = {}
if anonymize is not None:
query_params["anonymize"] = str(anonymize).lower()
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
return self.api_client.request(
type_=str,
method="GET",
url="/metrics",
headers=headers if headers else None,
params=query_params,
)
def _build_for_readyz(
self,
):
"""
An endpoint for health checking used in Kubernetes.
"""
headers = {}
return self.api_client.request(
type_=str,
method="GET",
url="/readyz",
headers=headers if headers else None,
)
def _build_for_root(
self,
):
"""
Returns information about the running Qdrant instance like version and commit id
"""
headers = {}
return self.api_client.request(
type_=m.VersionInfo,
method="GET",
url="/",
headers=headers if headers else None,
)
def _build_for_telemetry(
self,
anonymize: bool = None,
details_level: int = None,
timeout: int = None,
):
"""
Collect telemetry data including app info, system info, collections info, cluster info, configs and statistics
"""
query_params = {}
if anonymize is not None:
query_params["anonymize"] = str(anonymize).lower()
if details_level is not None:
query_params["details_level"] = str(details_level)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
return self.api_client.request(
type_=m.InlineResponse2002,
method="GET",
url="/telemetry",
headers=headers if headers else None,
params=query_params,
)
class AsyncServiceApi(_ServiceApi):
async def healthz(
self,
) -> str:
"""
An endpoint for health checking used in Kubernetes.
"""
return await self._build_for_healthz()
async def livez(
self,
) -> str:
"""
An endpoint for health checking used in Kubernetes.
"""
return await self._build_for_livez()
async def metrics(
self,
anonymize: bool = None,
timeout: int = None,
) -> str:
"""
Collect metrics data including app info, collections info, cluster info and statistics
"""
return await self._build_for_metrics(
anonymize=anonymize,
timeout=timeout,
)
async def readyz(
self,
) -> str:
"""
An endpoint for health checking used in Kubernetes.
"""
return await self._build_for_readyz()
async def root(
self,
) -> m.VersionInfo:
"""
Returns information about the running Qdrant instance like version and commit id
"""
return await self._build_for_root()
async def telemetry(
self,
anonymize: bool = None,
details_level: int = None,
timeout: int = None,
) -> m.InlineResponse2002:
"""
Collect telemetry data including app info, system info, collections info, cluster info, configs and statistics
"""
return await self._build_for_telemetry(
anonymize=anonymize,
details_level=details_level,
timeout=timeout,
)
class SyncServiceApi(_ServiceApi):
def healthz(
self,
) -> str:
"""
An endpoint for health checking used in Kubernetes.
"""
return self._build_for_healthz()
def livez(
self,
) -> str:
"""
An endpoint for health checking used in Kubernetes.
"""
return self._build_for_livez()
def metrics(
self,
anonymize: bool = None,
timeout: int = None,
) -> str:
"""
Collect metrics data including app info, collections info, cluster info and statistics
"""
return self._build_for_metrics(
anonymize=anonymize,
timeout=timeout,
)
def readyz(
self,
) -> str:
"""
An endpoint for health checking used in Kubernetes.
"""
return self._build_for_readyz()
def root(
self,
) -> m.VersionInfo:
"""
Returns information about the running Qdrant instance like version and commit id
"""
return self._build_for_root()
def telemetry(
self,
anonymize: bool = None,
details_level: int = None,
timeout: int = None,
) -> m.InlineResponse2002:
"""
Collect telemetry data including app info, system info, collections info, cluster info, configs and statistics
"""
return self._build_for_telemetry(
anonymize=anonymize,
details_level=details_level,
timeout=timeout,
)