Files
qdrant-client/qdrant_client/http/api/points_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

1063 lines
32 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 _PointsApi:
def __init__(self, api_client: "Union[ApiClient, AsyncApiClient]"):
self.api_client = api_client
def _build_for_batch_update(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
update_operations: m.UpdateOperations = None,
):
"""
Apply a series of update operations for points, vectors and payloads
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if wait is not None:
query_params["wait"] = str(wait).lower()
if ordering is not None:
query_params["ordering"] = str(ordering)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(update_operations)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse20017,
method="POST",
url="/collections/{collection_name}/points/batch",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_clear_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
points_selector: m.PointsSelector = None,
):
"""
Remove all payload for specified points
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if wait is not None:
query_params["wait"] = str(wait).lower()
if ordering is not None:
query_params["ordering"] = str(ordering)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(points_selector)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse2007,
method="POST",
url="/collections/{collection_name}/points/payload/clear",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_count_points(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
count_request: m.CountRequest = None,
):
"""
Count points which matches given filtering condition
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if consistency is not None:
query_params["consistency"] = str(consistency)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(count_request)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse20022,
method="POST",
url="/collections/{collection_name}/points/count",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_delete_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
delete_payload: m.DeletePayload = None,
):
"""
Delete specified key payload for points
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if wait is not None:
query_params["wait"] = str(wait).lower()
if ordering is not None:
query_params["ordering"] = str(ordering)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(delete_payload)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse2007,
method="POST",
url="/collections/{collection_name}/points/payload/delete",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_delete_points(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
points_selector: m.PointsSelector = None,
):
"""
Delete points
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if wait is not None:
query_params["wait"] = str(wait).lower()
if ordering is not None:
query_params["ordering"] = str(ordering)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(points_selector)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse2007,
method="POST",
url="/collections/{collection_name}/points/delete",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_delete_vectors(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
delete_vectors: m.DeleteVectors = None,
):
"""
Delete named vectors from the given points.
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if wait is not None:
query_params["wait"] = str(wait).lower()
if ordering is not None:
query_params["ordering"] = str(ordering)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(delete_vectors)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse2007,
method="POST",
url="/collections/{collection_name}/points/vectors/delete",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_facet(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
facet_request: m.FacetRequest = None,
):
"""
Count points that satisfy the given filter for each unique value of a payload key.
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if consistency is not None:
query_params["consistency"] = str(consistency)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(facet_request)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse20023,
method="POST",
url="/collections/{collection_name}/facet",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_get_point(
self,
collection_name: str,
id: m.ExtendedPointId,
consistency: m.ReadConsistency = None,
):
"""
Retrieve full information of single point by id
"""
path_params = {
"collection_name": str(collection_name),
"id": str(id),
}
query_params = {}
if consistency is not None:
query_params["consistency"] = str(consistency)
headers = {}
return self.api_client.request(
type_=m.InlineResponse20015,
method="GET",
url="/collections/{collection_name}/points/{id}",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
)
def _build_for_get_points(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
point_request: m.PointRequest = None,
):
"""
Retrieve multiple points by specified IDs
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if consistency is not None:
query_params["consistency"] = str(consistency)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(point_request)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse20016,
method="POST",
url="/collections/{collection_name}/points",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_overwrite_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
set_payload: m.SetPayload = None,
):
"""
Replace full payload of points with new one
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if wait is not None:
query_params["wait"] = str(wait).lower()
if ordering is not None:
query_params["ordering"] = str(ordering)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(set_payload)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse2007,
method="PUT",
url="/collections/{collection_name}/points/payload",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_scroll_points(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
scroll_request: m.ScrollRequest = None,
):
"""
Scroll request - paginate over all points which matches given filtering condition
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if consistency is not None:
query_params["consistency"] = str(consistency)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(scroll_request)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse20018,
method="POST",
url="/collections/{collection_name}/points/scroll",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_set_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
set_payload: m.SetPayload = None,
):
"""
Set payload values for points
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if wait is not None:
query_params["wait"] = str(wait).lower()
if ordering is not None:
query_params["ordering"] = str(ordering)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(set_payload)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse2007,
method="POST",
url="/collections/{collection_name}/points/payload",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_update_vectors(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
update_vectors: m.UpdateVectors = None,
):
"""
Update specified named vectors on points, keep unspecified vectors intact.
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if wait is not None:
query_params["wait"] = str(wait).lower()
if ordering is not None:
query_params["ordering"] = str(ordering)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(update_vectors)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse2007,
method="PUT",
url="/collections/{collection_name}/points/vectors",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
def _build_for_upsert_points(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
point_insert_operations: m.PointInsertOperations = None,
):
"""
Perform insert + updates on points. If point with given ID already exists - it will be overwritten.
"""
path_params = {
"collection_name": str(collection_name),
}
query_params = {}
if wait is not None:
query_params["wait"] = str(wait).lower()
if ordering is not None:
query_params["ordering"] = str(ordering)
if timeout is not None:
query_params["timeout"] = str(timeout)
headers = {}
body = jsonable_encoder(point_insert_operations)
if "Content-Type" not in headers:
headers["Content-Type"] = "application/json"
return self.api_client.request(
type_=m.InlineResponse2007,
method="PUT",
url="/collections/{collection_name}/points",
headers=headers if headers else None,
path_params=path_params,
params=query_params,
content=body,
)
class AsyncPointsApi(_PointsApi):
async def batch_update(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
update_operations: m.UpdateOperations = None,
) -> m.InlineResponse20017:
"""
Apply a series of update operations for points, vectors and payloads
"""
return await self._build_for_batch_update(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
update_operations=update_operations,
)
async def clear_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
points_selector: m.PointsSelector = None,
) -> m.InlineResponse2007:
"""
Remove all payload for specified points
"""
return await self._build_for_clear_payload(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
points_selector=points_selector,
)
async def count_points(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
count_request: m.CountRequest = None,
) -> m.InlineResponse20022:
"""
Count points which matches given filtering condition
"""
return await self._build_for_count_points(
collection_name=collection_name,
consistency=consistency,
timeout=timeout,
count_request=count_request,
)
async def delete_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
delete_payload: m.DeletePayload = None,
) -> m.InlineResponse2007:
"""
Delete specified key payload for points
"""
return await self._build_for_delete_payload(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
delete_payload=delete_payload,
)
async def delete_points(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
points_selector: m.PointsSelector = None,
) -> m.InlineResponse2007:
"""
Delete points
"""
return await self._build_for_delete_points(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
points_selector=points_selector,
)
async def delete_vectors(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
delete_vectors: m.DeleteVectors = None,
) -> m.InlineResponse2007:
"""
Delete named vectors from the given points.
"""
return await self._build_for_delete_vectors(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
delete_vectors=delete_vectors,
)
async def facet(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
facet_request: m.FacetRequest = None,
) -> m.InlineResponse20023:
"""
Count points that satisfy the given filter for each unique value of a payload key.
"""
return await self._build_for_facet(
collection_name=collection_name,
consistency=consistency,
timeout=timeout,
facet_request=facet_request,
)
async def get_point(
self,
collection_name: str,
id: m.ExtendedPointId,
consistency: m.ReadConsistency = None,
) -> m.InlineResponse20015:
"""
Retrieve full information of single point by id
"""
return await self._build_for_get_point(
collection_name=collection_name,
id=id,
consistency=consistency,
)
async def get_points(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
point_request: m.PointRequest = None,
) -> m.InlineResponse20016:
"""
Retrieve multiple points by specified IDs
"""
return await self._build_for_get_points(
collection_name=collection_name,
consistency=consistency,
timeout=timeout,
point_request=point_request,
)
async def overwrite_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
set_payload: m.SetPayload = None,
) -> m.InlineResponse2007:
"""
Replace full payload of points with new one
"""
return await self._build_for_overwrite_payload(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
set_payload=set_payload,
)
async def scroll_points(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
scroll_request: m.ScrollRequest = None,
) -> m.InlineResponse20018:
"""
Scroll request - paginate over all points which matches given filtering condition
"""
return await self._build_for_scroll_points(
collection_name=collection_name,
consistency=consistency,
timeout=timeout,
scroll_request=scroll_request,
)
async def set_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
set_payload: m.SetPayload = None,
) -> m.InlineResponse2007:
"""
Set payload values for points
"""
return await self._build_for_set_payload(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
set_payload=set_payload,
)
async def update_vectors(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
update_vectors: m.UpdateVectors = None,
) -> m.InlineResponse2007:
"""
Update specified named vectors on points, keep unspecified vectors intact.
"""
return await self._build_for_update_vectors(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
update_vectors=update_vectors,
)
async def upsert_points(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
point_insert_operations: m.PointInsertOperations = None,
) -> m.InlineResponse2007:
"""
Perform insert + updates on points. If point with given ID already exists - it will be overwritten.
"""
return await self._build_for_upsert_points(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
point_insert_operations=point_insert_operations,
)
class SyncPointsApi(_PointsApi):
def batch_update(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
update_operations: m.UpdateOperations = None,
) -> m.InlineResponse20017:
"""
Apply a series of update operations for points, vectors and payloads
"""
return self._build_for_batch_update(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
update_operations=update_operations,
)
def clear_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
points_selector: m.PointsSelector = None,
) -> m.InlineResponse2007:
"""
Remove all payload for specified points
"""
return self._build_for_clear_payload(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
points_selector=points_selector,
)
def count_points(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
count_request: m.CountRequest = None,
) -> m.InlineResponse20022:
"""
Count points which matches given filtering condition
"""
return self._build_for_count_points(
collection_name=collection_name,
consistency=consistency,
timeout=timeout,
count_request=count_request,
)
def delete_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
delete_payload: m.DeletePayload = None,
) -> m.InlineResponse2007:
"""
Delete specified key payload for points
"""
return self._build_for_delete_payload(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
delete_payload=delete_payload,
)
def delete_points(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
points_selector: m.PointsSelector = None,
) -> m.InlineResponse2007:
"""
Delete points
"""
return self._build_for_delete_points(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
points_selector=points_selector,
)
def delete_vectors(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
delete_vectors: m.DeleteVectors = None,
) -> m.InlineResponse2007:
"""
Delete named vectors from the given points.
"""
return self._build_for_delete_vectors(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
delete_vectors=delete_vectors,
)
def facet(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
facet_request: m.FacetRequest = None,
) -> m.InlineResponse20023:
"""
Count points that satisfy the given filter for each unique value of a payload key.
"""
return self._build_for_facet(
collection_name=collection_name,
consistency=consistency,
timeout=timeout,
facet_request=facet_request,
)
def get_point(
self,
collection_name: str,
id: m.ExtendedPointId,
consistency: m.ReadConsistency = None,
) -> m.InlineResponse20015:
"""
Retrieve full information of single point by id
"""
return self._build_for_get_point(
collection_name=collection_name,
id=id,
consistency=consistency,
)
def get_points(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
point_request: m.PointRequest = None,
) -> m.InlineResponse20016:
"""
Retrieve multiple points by specified IDs
"""
return self._build_for_get_points(
collection_name=collection_name,
consistency=consistency,
timeout=timeout,
point_request=point_request,
)
def overwrite_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
set_payload: m.SetPayload = None,
) -> m.InlineResponse2007:
"""
Replace full payload of points with new one
"""
return self._build_for_overwrite_payload(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
set_payload=set_payload,
)
def scroll_points(
self,
collection_name: str,
consistency: m.ReadConsistency = None,
timeout: int = None,
scroll_request: m.ScrollRequest = None,
) -> m.InlineResponse20018:
"""
Scroll request - paginate over all points which matches given filtering condition
"""
return self._build_for_scroll_points(
collection_name=collection_name,
consistency=consistency,
timeout=timeout,
scroll_request=scroll_request,
)
def set_payload(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
set_payload: m.SetPayload = None,
) -> m.InlineResponse2007:
"""
Set payload values for points
"""
return self._build_for_set_payload(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
set_payload=set_payload,
)
def update_vectors(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
update_vectors: m.UpdateVectors = None,
) -> m.InlineResponse2007:
"""
Update specified named vectors on points, keep unspecified vectors intact.
"""
return self._build_for_update_vectors(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
update_vectors=update_vectors,
)
def upsert_points(
self,
collection_name: str,
wait: bool = None,
ordering: WriteOrdering = None,
timeout: int = None,
point_insert_operations: m.PointInsertOperations = None,
) -> m.InlineResponse2007:
"""
Perform insert + updates on points. If point with given ID already exists - it will be overwritten.
"""
return self._build_for_upsert_points(
collection_name=collection_name,
wait=wait,
ordering=ordering,
timeout=timeout,
point_insert_operations=point_insert_operations,
)