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|
from typing import List
from redis import DataError
class Field:
NUMERIC = "NUMERIC"
TEXT = "TEXT"
WEIGHT = "WEIGHT"
GEO = "GEO"
TAG = "TAG"
VECTOR = "VECTOR"
SORTABLE = "SORTABLE"
NOINDEX = "NOINDEX"
AS = "AS"
def __init__(
self,
name: str,
args: List[str] = None,
sortable: bool = False,
no_index: bool = False,
as_name: str = None,
):
if args is None:
args = []
self.name = name
self.args = args
self.args_suffix = list()
self.as_name = as_name
if sortable:
self.args_suffix.append(Field.SORTABLE)
if no_index:
self.args_suffix.append(Field.NOINDEX)
if no_index and not sortable:
raise ValueError("Non-Sortable non-Indexable fields are ignored")
def append_arg(self, value):
self.args.append(value)
def redis_args(self):
args = [self.name]
if self.as_name:
args += [self.AS, self.as_name]
args += self.args
args += self.args_suffix
return args
class TextField(Field):
"""
TextField is used to define a text field in a schema definition
"""
NOSTEM = "NOSTEM"
PHONETIC = "PHONETIC"
def __init__(
self,
name: str,
weight: float = 1.0,
no_stem: bool = False,
phonetic_matcher: str = None,
withsuffixtrie: bool = False,
**kwargs,
):
Field.__init__(self, name, args=[Field.TEXT, Field.WEIGHT, weight], **kwargs)
if no_stem:
Field.append_arg(self, self.NOSTEM)
if phonetic_matcher and phonetic_matcher in [
"dm:en",
"dm:fr",
"dm:pt",
"dm:es",
]:
Field.append_arg(self, self.PHONETIC)
Field.append_arg(self, phonetic_matcher)
if withsuffixtrie:
Field.append_arg(self, "WITHSUFFIXTRIE")
class NumericField(Field):
"""
NumericField is used to define a numeric field in a schema definition
"""
def __init__(self, name: str, **kwargs):
Field.__init__(self, name, args=[Field.NUMERIC], **kwargs)
class GeoField(Field):
"""
GeoField is used to define a geo-indexing field in a schema definition
"""
def __init__(self, name: str, **kwargs):
Field.__init__(self, name, args=[Field.GEO], **kwargs)
class TagField(Field):
"""
TagField is a tag-indexing field with simpler compression and tokenization.
See http://redisearch.io/Tags/
"""
SEPARATOR = "SEPARATOR"
CASESENSITIVE = "CASESENSITIVE"
def __init__(
self,
name: str,
separator: str = ",",
case_sensitive: bool = False,
withsuffixtrie: bool = False,
**kwargs,
):
args = [Field.TAG, self.SEPARATOR, separator]
if case_sensitive:
args.append(self.CASESENSITIVE)
if withsuffixtrie:
args.append("WITHSUFFIXTRIE")
Field.__init__(self, name, args=args, **kwargs)
class VectorField(Field):
"""
Allows vector similarity queries against the value in this attribute.
See https://oss.redis.com/redisearch/Vectors/#vector_fields.
"""
def __init__(self, name: str, algorithm: str, attributes: dict, **kwargs):
"""
Create Vector Field. Notice that Vector cannot have sortable or no_index tag,
although it's also a Field.
``name`` is the name of the field.
``algorithm`` can be "FLAT" or "HNSW".
``attributes`` each algorithm can have specific attributes. Some of them
are mandatory and some of them are optional. See
https://oss.redis.com/redisearch/master/Vectors/#specific_creation_attributes_per_algorithm
for more information.
"""
sort = kwargs.get("sortable", False)
noindex = kwargs.get("no_index", False)
if sort or noindex:
raise DataError("Cannot set 'sortable' or 'no_index' in Vector fields.")
if algorithm.upper() not in ["FLAT", "HNSW"]:
raise DataError(
"Realtime vector indexing supporting 2 Indexing Methods:"
"'FLAT' and 'HNSW'."
)
attr_li = []
for key, value in attributes.items():
attr_li.extend([key, value])
Field.__init__(
self, name, args=[Field.VECTOR, algorithm, len(attr_li), *attr_li], **kwargs
)
|
