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# Copyright DataStax, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
from typing import Any, Dict, Iterable, Optional, Union
DocumentType = Dict[str, Any]
ProjectionType = Union[Iterable[str], Dict[str, bool]]
SortType = Dict[str, Any]
FilterType = Dict[str, Any]
VectorType = Iterable[float]
def normalize_optional_projection(
projection: Optional[ProjectionType],
ensure_fields: Iterable[str] = set(),
) -> Optional[Dict[str, bool]]:
_ensure_fields = set(ensure_fields)
if projection:
if isinstance(projection, dict):
if any(bool(v) for v in projection.values()):
# positive projection: {a: True, b: True ...}
return {
k: projection.get(k, True)
for k in list(projection.keys()) + list(_ensure_fields)
}
else:
# negative projection: {x: False, y: False, ...}
return {k: v for k, v in projection.items() if k not in _ensure_fields}
else:
# an iterable over strings
return {field: True for field in list(projection) + list(_ensure_fields)}
else:
return None
class ReturnDocument:
"""
Admitted values for the `return_document` parameter in
`find_one_and_replace` and `find_one_and_update` collection
methods.
"""
def __init__(self) -> None:
raise NotImplementedError
BEFORE = "before"
AFTER = "after"
class SortDocuments:
"""
Admitted values for the `sort` parameter in the find collection methods,
e.g. `sort={"field": SortDocuments.ASCENDING}`.
"""
def __init__(self) -> None:
raise NotImplementedError
ASCENDING = 1
DESCENDING = -1
class VectorMetric:
"""
Admitted values for the "metric" parameter when creating vector collections
through the database `create_collection` method.
"""
def __init__(self) -> None:
raise NotImplementedError
DOT_PRODUCT = "dot_product"
EUCLIDEAN = "euclidean"
COSINE = "cosine"
class DefaultIdType:
"""
Admitted values for the "default_id_type" parameter when creating collections
through the database `create_collection` method.
"""
def __init__(self) -> None:
raise NotImplementedError
UUID = "uuid"
OBJECTID = "objectId"
UUIDV6 = "uuidv6"
UUIDV7 = "uuidv7"
DEFAULT = "uuid"
__pdoc__ = {
"normalize_optional_projection": False,
}
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