1168 lines
43 KiB
Python
1168 lines
43 KiB
Python
import abc
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import dataclasses
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import decimal
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import json
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import logging
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import operator
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from copy import deepcopy
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from enum import Enum
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from functools import reduce
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from typing import (
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AbstractSet,
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Any,
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Callable,
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Dict,
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Mapping,
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Optional,
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Set,
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Tuple,
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TypeVar,
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Union,
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Sequence,
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no_type_check,
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Protocol,
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List,
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get_origin,
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get_args, Type
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)
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import redis
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from pydantic import BaseModel, validator
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from pydantic.fields import FieldInfo as PydanticFieldInfo
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from pydantic.fields import ModelField, Undefined, UndefinedType
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from pydantic.main import ModelMetaclass
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from pydantic.typing import NoArgAnyCallable, resolve_annotations
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from pydantic.utils import Representation
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from ulid import ULID
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from .encoders import jsonable_encoder
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from .render_tree import render_tree
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from .token_escaper import TokenEscaper
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model_registry = {}
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_T = TypeVar("_T")
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log = logging.getLogger(__name__)
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escaper = TokenEscaper()
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# For basic exact-match field types like an indexed string, we create a TAG
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# field in the RediSearch index. TAG is designed for multi-value fields
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# separated by a "separator" character. We're using the field for single values
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# (multi-value TAGs will be exposed as a separate field type), and we use the
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# pipe character (|) as the separator. There is no way to escape this character
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# in hash fields or JSON objects, so if someone indexes a value that includes
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# the pipe, we'll warn but allow, and then warn again if they try to query for
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# values that contain this separator.
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SINGLE_VALUE_TAG_FIELD_SEPARATOR = "|"
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# This is the default field separator in RediSearch. We need it to determine if
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# someone has accidentally passed in the field separator with string value of a
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# multi-value field lookup, like a IN or NOT_IN.
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DEFAULT_REDISEARCH_FIELD_SEPARATOR = ","
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class RedisModelError(Exception):
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"""Raised when a problem exists in the definition of a RedisModel."""
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class QuerySyntaxError(Exception):
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"""Raised when a query is constructed improperly."""
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class NotFoundError(Exception):
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"""Raised when a query found no results."""
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class Operators(Enum):
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EQ = 1
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NE = 2
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LT = 3
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LE = 4
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GT = 5
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GE = 6
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OR = 7
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AND = 8
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NOT = 9
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IN = 10
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NOT_IN = 11
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LIKE = 12
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ALL = 13
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def __str__(self):
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return str(self.name)
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ExpressionOrModelField = Union['Expression', 'NegatedExpression', ModelField]
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def embedded(cls):
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"""
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Mark a model as embedded to avoid creating multiple indexes if the model is
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only ever used embedded within other models.
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"""
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setattr(cls.Meta, 'embedded', True)
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class ExpressionProtocol(Protocol):
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op: Operators
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left: ExpressionOrModelField
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right: ExpressionOrModelField
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def __invert__(self) -> 'Expression':
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pass
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def __and__(self, other: ExpressionOrModelField):
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pass
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def __or__(self, other: ExpressionOrModelField):
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pass
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@property
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def name(self) -> str:
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raise NotImplementedError
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@property
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def tree(self) -> str:
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raise NotImplementedError
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@dataclasses.dataclass
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class NegatedExpression:
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"""A negated Expression object.
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For now, this is a separate dataclass from Expression that acts as a facade
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around an Expression, indicating to model code (specifically, code
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responsible for querying) to negate the logic in the wrapped Expression. A
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better design is probably possible, maybe at least an ExpressionProtocol?
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"""
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expression: 'Expression'
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def __invert__(self):
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return self.expression
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def __and__(self, other):
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return Expression(left=self, op=Operators.AND, right=other, parents=self.expression.parents)
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def __or__(self, other):
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return Expression(left=self, op=Operators.OR, right=other, parents=self.expression.parents)
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@property
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def left(self):
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return self.expression.left
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@property
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def right(self):
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return self.expression.right
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@property
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def op(self):
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return self.expression.op
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@property
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def name(self):
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if self.expression.op is Operators.EQ:
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return f"NOT {self.expression.name}"
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else:
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return f"{self.expression.name} NOT"
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@property
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def tree(self):
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return render_tree(self)
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@dataclasses.dataclass
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class Expression:
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op: Operators
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left: ExpressionOrModelField
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right: ExpressionOrModelField
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parents: List[Tuple[str, 'RedisModel']]
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def __invert__(self):
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return NegatedExpression(self)
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def __and__(self, other: ExpressionOrModelField):
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return Expression(left=self, op=Operators.AND, right=other, parents=self.parents)
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def __or__(self, other: ExpressionOrModelField):
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return Expression(left=self, op=Operators.OR, right=other, parents=self.parents)
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@property
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def name(self):
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return str(self.op)
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@property
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def tree(self):
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return render_tree(self)
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ExpressionOrNegated = Union[Expression, NegatedExpression]
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class ExpressionProxy:
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def __init__(self, field: ModelField, parents: List[Tuple[str, 'RedisModel']]):
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self.field = field
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self.parents = parents
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def __eq__(self, other: Any) -> Expression: # type: ignore[override]
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return Expression(left=self.field, op=Operators.EQ, right=other, parents=self.parents)
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def __ne__(self, other: Any) -> Expression: # type: ignore[override]
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return Expression(left=self.field, op=Operators.NE, right=other, parents=self.parents)
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def __lt__(self, other: Any) -> Expression: # type: ignore[override]
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return Expression(left=self.field, op=Operators.LT, right=other, parents=self.parents)
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def __le__(self, other: Any) -> Expression: # type: ignore[override]
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return Expression(left=self.field, op=Operators.LE, right=other, parents=self.parents)
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def __gt__(self, other: Any) -> Expression: # type: ignore[override]
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return Expression(left=self.field, op=Operators.GT, right=other, parents=self.parents)
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def __ge__(self, other: Any) -> Expression: # type: ignore[override]
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return Expression(left=self.field, op=Operators.GE, right=other, parents=self.parents)
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def __getattr__(self, item):
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if get_origin(self.field.outer_type_) == list:
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embedded_cls = get_args(self.field.outer_type_)
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if not embedded_cls:
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# TODO: Is this even possible?
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raise QuerySyntaxError("In order to query on a list field, you must define "
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"the contents of the list with a type annotation, like: "
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"orders: List[Order]. Docs: TODO")
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embedded_cls = embedded_cls[0]
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attr = getattr(embedded_cls, item)
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else:
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attr = getattr(self.field.outer_type_, item)
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if isinstance(attr, self.__class__):
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attr.parents.append((self.field.name, self.field.outer_type_))
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attr.parents = self.parents + attr.parents
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return attr
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class QueryNotSupportedError(Exception):
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"""The attempted query is not supported."""
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class RediSearchFieldTypes(Enum):
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TEXT = 'TEXT'
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TAG = 'TAG'
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NUMERIC = 'NUMERIC'
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GEO = 'GEO'
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# TODO: How to handle Geo fields?
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NUMERIC_TYPES = (float, int, decimal.Decimal)
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DEFAULT_PAGE_SIZE = 10
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class FindQuery:
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def __init__(self,
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expressions: Sequence[ExpressionOrNegated],
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model: Type['RedisModel'],
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offset: int = 0,
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limit: int = DEFAULT_PAGE_SIZE,
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page_size: int = DEFAULT_PAGE_SIZE,
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sort_fields: Optional[List[str]] = None):
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self.expressions = expressions
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self.model = model
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self.offset = offset
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self.limit = limit
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self.page_size = page_size
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if sort_fields:
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self.sort_fields = self.validate_sort_fields(sort_fields)
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else:
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self.sort_fields = []
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self._expression = None
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self._query: Optional[str] = None
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self._pagination: list[str] = []
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self._model_cache: list[RedisModel] = []
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@property
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def pagination(self):
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if self._pagination:
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return self._pagination
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self._pagination = self.resolve_redisearch_pagination()
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return self._pagination
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@property
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def expression(self):
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if self._expression:
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return self._expression
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if self.expressions:
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self._expression = reduce(operator.and_, self.expressions)
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else:
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# TODO: Is there a better way to support the "give me all records" query?
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# Also -- if we do it this way, we need different type annotations.
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self._expression = Expression(left=None, right=None, op=Operators.ALL,
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parents=[])
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return self._expression
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@property
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def query(self):
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return self.resolve_redisearch_query(self.expression)
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def validate_sort_fields(self, sort_fields):
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for sort_field in sort_fields:
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field_name = sort_field.lstrip("-")
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if field_name not in self.model.__fields__:
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raise QueryNotSupportedError(f"You tried sort by {field_name}, but that field "
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f"does not exist on the model {self.model}")
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field_proxy = getattr(self.model, field_name)
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if not getattr(field_proxy.field.field_info, 'sortable', False):
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raise QueryNotSupportedError(f"You tried sort by {field_name}, but {self.model} does "
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"not define that field as sortable. See docs: XXX")
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return sort_fields
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@staticmethod
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def resolve_field_type(field: ModelField) -> RediSearchFieldTypes:
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if getattr(field.field_info, 'primary_key', None) is True:
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return RediSearchFieldTypes.TAG
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elif getattr(field.field_info, 'full_text_search', None) is True:
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return RediSearchFieldTypes.TEXT
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field_type = field.outer_type_
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# TODO: GEO
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if any(issubclass(field_type, t) for t in NUMERIC_TYPES):
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return RediSearchFieldTypes.NUMERIC
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else:
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# TAG fields are the default field type.
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# TODO: A ListField or ArrayField that supports multiple values
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# and contains logic should allow IN and NOT_IN queries.
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return RediSearchFieldTypes.TAG
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@staticmethod
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def expand_tag_value(value):
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if isinstance(str, value):
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return value
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try:
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expanded_value = "|".join([escaper.escape(v) for v in value])
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except TypeError:
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raise QuerySyntaxError("Values passed to an IN query must be iterables,"
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"like a list of strings. For more information, see:"
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"TODO: doc.")
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return expanded_value
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@classmethod
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def resolve_value(cls, field_name: str, field_type: RediSearchFieldTypes,
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field_info: PydanticFieldInfo, op: Operators, value: Any,
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parents: List[Tuple[str, 'RedisModel']]) -> str:
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if parents:
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prefix = "_".join([p[0] for p in parents])
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field_name = f"{prefix}_{field_name}"
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result = ""
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if field_type is RediSearchFieldTypes.TEXT:
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result = f"@{field_name}:"
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if op is Operators.EQ:
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result += f'"{value}"'
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elif op is Operators.NE:
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result = f'-({result}"{value}")'
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elif op is Operators.LIKE:
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result += value
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else:
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raise QueryNotSupportedError("Only equals (=), not-equals (!=), and like() "
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"comparisons are supported for TEXT fields. See "
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"docs: TODO.")
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elif field_type is RediSearchFieldTypes.NUMERIC:
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if op is Operators.EQ:
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result += f"@{field_name}:[{value} {value}]"
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elif op is Operators.NE:
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# TODO: Is this enough or do we also need a clause for all values
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# ([-inf +inf]) from which we then subtract the undesirable value?
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result += f"-(@{field_name}:[{value} {value}])"
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elif op is Operators.GT:
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result += f"@{field_name}:[({value} +inf]"
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elif op is Operators.LT:
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result += f"@{field_name}:[-inf ({value}]"
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elif op is Operators.GE:
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result += f"@{field_name}:[{value} +inf]"
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elif op is Operators.LE:
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result += f"@{field_name}:[-inf {value}]"
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# TODO: How will we know the difference between a multi-value use of a TAG
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# field and our hidden use of TAG for exact-match queries?
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elif field_type is RediSearchFieldTypes.TAG:
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if op is Operators.EQ:
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separator_char = getattr(field_info, 'separator',
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SINGLE_VALUE_TAG_FIELD_SEPARATOR)
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if value == separator_char:
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# The value is ONLY the TAG field separator character --
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# this is not going to work.
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log.warning("Your query against the field %s is for a single character, %s, "
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"that is used internally by redis-developer-python. We must ignore "
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"this portion of the query. Please review your query to find "
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"an alternative query that uses a string containing more than "
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"just the character %s.", field_name, separator_char, separator_char)
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return ""
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if separator_char in value:
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# The value contains the TAG field separator. We can work
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# around this by breaking apart the values and unioning them
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# with multiple field:{} queries.
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values = filter(None, value.split(separator_char))
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for value in values:
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value = escaper.escape(value)
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result += f"@{field_name}:{{{value}}}"
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else:
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value = escaper.escape(value)
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result += f"@{field_name}:{{{value}}}"
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elif op is Operators.NE:
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value = escaper.escape(value)
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result += f"-(@{field_name}:{{{value}}})"
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elif op is Operators.IN:
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# TODO: Implement IN, test this...
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expanded_value = cls.expand_tag_value(value)
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result += f"(@{field_name}:{{{expanded_value}}})"
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elif op is Operators.NOT_IN:
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# TODO: Implement NOT_IN, test this...
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expanded_value = cls.expand_tag_value(value)
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result += f"-(@{field_name}:{{{expanded_value}}})"
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return result
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def resolve_redisearch_pagination(self):
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"""Resolve pagination options for a query."""
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return ["LIMIT", self.offset, self.limit]
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def resolve_redisearch_sort_fields(self):
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"""Resolve sort options for a query."""
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if not self.sort_fields:
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return
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fields = []
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for f in self.sort_fields:
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direction = "desc" if f.startswith('-') else 'asc'
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fields.extend([f.lstrip('-'), direction])
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if self.sort_fields:
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return ["SORTBY", *fields]
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|
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@classmethod
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def resolve_redisearch_query(cls, expression: ExpressionOrNegated) -> str:
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"""Resolve an expression to a string RediSearch query."""
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field_type = None
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field_name = None
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field_info = None
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encompassing_expression_is_negated = False
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result = ""
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|
|
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if isinstance(expression, NegatedExpression):
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encompassing_expression_is_negated = True
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expression = expression.expression
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|
|
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if expression.op is Operators.ALL:
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if encompassing_expression_is_negated:
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# TODO: Is there a use case for this, perhaps for dynamic
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# scoring purposes?
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raise QueryNotSupportedError("You cannot negate a query for all results.")
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return "*"
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|
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if isinstance(expression.left, Expression) or \
|
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isinstance(expression.left, NegatedExpression):
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result += f"({cls.resolve_redisearch_query(expression.left)})"
|
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elif isinstance(expression.left, ModelField):
|
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field_type = cls.resolve_field_type(expression.left)
|
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field_name = expression.left.name
|
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field_info = expression.left.field_info
|
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if not field_info or not getattr(field_info, "index", None):
|
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raise QueryNotSupportedError(f"You tried to query by a field ({field_name}) "
|
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f"that isn't indexed. See docs: TODO")
|
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else:
|
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raise QueryNotSupportedError(f"A query expression should start with either a field "
|
|
f"or an expression enclosed in parenthesis. See docs: "
|
|
f"TODO")
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|
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right = expression.right
|
|
|
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if isinstance(right, Expression) or isinstance(right, NegatedExpression):
|
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if expression.op == Operators.AND:
|
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result += " "
|
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elif expression.op == Operators.OR:
|
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result += "| "
|
|
else:
|
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raise QueryNotSupportedError("You can only combine two query expressions with"
|
|
"AND (&) or OR (|). See docs: TODO")
|
|
|
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if isinstance(right, NegatedExpression):
|
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result += "-"
|
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# We're handling the RediSearch operator in this call ("-"), so resolve the
|
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# inner expression instead of the NegatedExpression.
|
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right = right.expression
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|
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result += f"({cls.resolve_redisearch_query(right)})"
|
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else:
|
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if isinstance(right, ModelField):
|
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raise QueryNotSupportedError("Comparing fields is not supported. See docs: TODO")
|
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else:
|
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result += cls.resolve_value(field_name, field_type, field_info,
|
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expression.op, right, expression.parents)
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|
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if encompassing_expression_is_negated:
|
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result = f"-({result})"
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|
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return result
|
|
|
|
def execute(self, exhaust_results=True):
|
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args = ["ft.search", self.model.Meta.index_name, self.query, *self.pagination]
|
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if self.sort_fields:
|
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args += self.resolve_redisearch_sort_fields()
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|
|
|
# Reset the cache if we're executing from offset 0.
|
|
if self.offset == 0:
|
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self._model_cache.clear()
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|
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# If the offset is greater than 0, we're paginating through a result set,
|
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# so append the new results to results already in the cache.
|
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raw_result = self.model.db().execute_command(*args)
|
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count = raw_result[0]
|
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results = self.model.from_redis(raw_result)
|
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self._model_cache += results
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|
|
if not exhaust_results:
|
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return self._model_cache
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|
|
# The query returned all results, so we have no more work to do.
|
|
if count <= len(results):
|
|
return self._model_cache
|
|
|
|
# Transparently (to the user) make subsequent requests to paginate
|
|
# through the results and finally return them all.
|
|
query = self
|
|
while True:
|
|
# Make a query for each pass of the loop, with a new offset equal to the
|
|
# current offset plus `page_size`, until we stop getting results back.
|
|
query = FindQuery(expressions=query.expressions,
|
|
model=query.model,
|
|
offset=query.offset + query.page_size,
|
|
page_size=query.page_size,
|
|
limit=query.limit)
|
|
_results = query.execute(exhaust_results=False)
|
|
if not _results:
|
|
break
|
|
self._model_cache += _results
|
|
return self._model_cache
|
|
|
|
def first(self):
|
|
query = FindQuery(expressions=self.expressions, model=self.model,
|
|
offset=0, limit=1, sort_fields=self.sort_fields)
|
|
results = query.execute()
|
|
if not results:
|
|
raise NotFoundError()
|
|
return results[0]
|
|
|
|
def all(self, batch_size=10):
|
|
if batch_size != self.page_size:
|
|
# TODO: There's probably a copy-with-change mechanism in Pydantic,
|
|
# or can we use one from dataclasses?
|
|
query = FindQuery(expressions=self.expressions,
|
|
model=self.model,
|
|
offset=self.offset,
|
|
page_size=batch_size,
|
|
limit=batch_size,
|
|
sort_fields=self.sort_fields)
|
|
return query.execute()
|
|
return self.execute()
|
|
|
|
def sort_by(self, *fields: str):
|
|
if not fields:
|
|
return self
|
|
return FindQuery(expressions=self.expressions,
|
|
model=self.model,
|
|
offset=self.offset,
|
|
page_size=self.page_size,
|
|
limit=self.limit,
|
|
sort_fields=list(fields))
|
|
|
|
def update(self, **kwargs):
|
|
"""Update all matching records in this query."""
|
|
# TODO
|
|
|
|
def delete(cls, **field_values):
|
|
"""Delete all matching records in this query."""
|
|
for field_name, value in field_values:
|
|
valid_attr = hasattr(cls.model, field_name)
|
|
if not valid_attr:
|
|
raise RedisModelError(f"Can't update field {field_name} because "
|
|
f"the field does not exist on the model {cls}")
|
|
|
|
return cls
|
|
|
|
def __iter__(self):
|
|
if self._model_cache:
|
|
for m in self._model_cache:
|
|
yield m
|
|
else:
|
|
for m in self.execute():
|
|
yield m
|
|
|
|
def __getitem__(self, item: int):
|
|
"""
|
|
Given this code:
|
|
Model.find()[1000]
|
|
|
|
We should return only the 1000th result.
|
|
|
|
1. If the result is loaded in the query cache for this query,
|
|
we can return it directly from the cache.
|
|
|
|
2. If the query cache does not have enough elements to return
|
|
that result, then we should clone the current query and
|
|
give it a new offset and limit: offset=n, limit=1.
|
|
"""
|
|
if self._model_cache and len(self._model_cache) >= item:
|
|
return self._model_cache[item]
|
|
|
|
query = FindQuery(expressions=self.expressions,
|
|
model=self.model,
|
|
offset=item,
|
|
sort_fields=self.sort_fields,
|
|
limit=1)
|
|
|
|
return query.execute()[0]
|
|
|
|
|
|
class PrimaryKeyCreator(Protocol):
|
|
def create_pk(self, *args, **kwargs) -> str:
|
|
"""Create a new primary key"""
|
|
|
|
|
|
class UlidPrimaryKey:
|
|
"""A client-side generated primary key that follows the ULID spec.
|
|
https://github.com/ulid/javascript#specification
|
|
"""
|
|
@staticmethod
|
|
def create_pk(*args, **kwargs) -> str:
|
|
return str(ULID())
|
|
|
|
|
|
def __dataclass_transform__(
|
|
*,
|
|
eq_default: bool = True,
|
|
order_default: bool = False,
|
|
kw_only_default: bool = False,
|
|
field_descriptors: Tuple[Union[type, Callable[..., Any]], ...] = (()),
|
|
) -> Callable[[_T], _T]:
|
|
return lambda a: a
|
|
|
|
|
|
class FieldInfo(PydanticFieldInfo):
|
|
def __init__(self, default: Any = Undefined, **kwargs: Any) -> None:
|
|
primary_key = kwargs.pop("primary_key", False)
|
|
sortable = kwargs.pop("sortable", Undefined)
|
|
index = kwargs.pop("index", Undefined)
|
|
full_text_search = kwargs.pop("full_text_search", Undefined)
|
|
super().__init__(default=default, **kwargs)
|
|
self.primary_key = primary_key
|
|
self.sortable = sortable
|
|
self.index = index
|
|
self.full_text_search = full_text_search
|
|
|
|
|
|
class RelationshipInfo(Representation):
|
|
def __init__(
|
|
self,
|
|
*,
|
|
back_populates: Optional[str] = None,
|
|
link_model: Optional[Any] = None,
|
|
) -> None:
|
|
self.back_populates = back_populates
|
|
self.link_model = link_model
|
|
|
|
|
|
def Field(
|
|
default: Any = Undefined,
|
|
*,
|
|
default_factory: Optional[NoArgAnyCallable] = None,
|
|
alias: str = None,
|
|
title: str = None,
|
|
description: str = None,
|
|
exclude: Union[
|
|
AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any
|
|
] = None,
|
|
include: Union[
|
|
AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any
|
|
] = None,
|
|
const: bool = None,
|
|
gt: float = None,
|
|
ge: float = None,
|
|
lt: float = None,
|
|
le: float = None,
|
|
multiple_of: float = None,
|
|
min_items: int = None,
|
|
max_items: int = None,
|
|
min_length: int = None,
|
|
max_length: int = None,
|
|
allow_mutation: bool = True,
|
|
regex: str = None,
|
|
primary_key: bool = False,
|
|
sortable: Union[bool, UndefinedType] = Undefined,
|
|
index: Union[bool, UndefinedType] = Undefined,
|
|
full_text_search: Union[bool, UndefinedType] = Undefined,
|
|
schema_extra: Optional[Dict[str, Any]] = None,
|
|
) -> Any:
|
|
current_schema_extra = schema_extra or {}
|
|
field_info = FieldInfo(
|
|
default,
|
|
default_factory=default_factory,
|
|
alias=alias,
|
|
title=title,
|
|
description=description,
|
|
exclude=exclude,
|
|
include=include,
|
|
const=const,
|
|
gt=gt,
|
|
ge=ge,
|
|
lt=lt,
|
|
le=le,
|
|
multiple_of=multiple_of,
|
|
min_items=min_items,
|
|
max_items=max_items,
|
|
min_length=min_length,
|
|
max_length=max_length,
|
|
allow_mutation=allow_mutation,
|
|
regex=regex,
|
|
primary_key=primary_key,
|
|
sortable=sortable,
|
|
index=index,
|
|
full_text_search=full_text_search,
|
|
**current_schema_extra,
|
|
)
|
|
field_info._validate()
|
|
return field_info
|
|
|
|
|
|
@dataclasses.dataclass
|
|
class PrimaryKey:
|
|
name: str
|
|
field: ModelField
|
|
|
|
|
|
class MetaProtocol(Protocol):
|
|
global_key_prefix: str
|
|
model_key_prefix: str
|
|
primary_key_pattern: str
|
|
database: redis.Redis
|
|
primary_key: PrimaryKey
|
|
primary_key_creator_cls: Type[PrimaryKeyCreator]
|
|
index_name: str
|
|
abstract: bool
|
|
embedded: bool
|
|
|
|
|
|
@dataclasses.dataclass
|
|
class DefaultMeta:
|
|
"""A default placeholder Meta object.
|
|
|
|
TODO: Revisit whether this is really necessary, and whether making
|
|
these all optional here is the right choice.
|
|
"""
|
|
global_key_prefix: Optional[str] = None
|
|
model_key_prefix: Optional[str] = None
|
|
primary_key_pattern: Optional[str] = None
|
|
database: Optional[redis.Redis] = None
|
|
primary_key: Optional[PrimaryKey] = None
|
|
primary_key_creator_cls: Optional[Type[PrimaryKeyCreator]] = None
|
|
index_name: Optional[str] = None
|
|
abstract: Optional[bool] = False
|
|
embedded: Optional[bool] = False
|
|
|
|
|
|
class ModelMeta(ModelMetaclass):
|
|
_meta: MetaProtocol
|
|
|
|
def __new__(cls, name, bases, attrs, **kwargs): # noqa C901
|
|
meta = attrs.pop('Meta', None)
|
|
new_class = super().__new__(cls, name, bases, attrs, **kwargs)
|
|
|
|
# The fact that there is a Meta field and _meta field is important: a
|
|
# user may have given us a Meta object with their configuration, while
|
|
# we might have inherited _meta from a parent class, and should
|
|
# therefore use some of the inherited fields.
|
|
meta = meta or getattr(new_class, 'Meta', None)
|
|
base_meta = getattr(new_class, '_meta', None)
|
|
|
|
if meta and meta != DefaultMeta and meta != base_meta:
|
|
new_class.Meta = meta
|
|
new_class._meta = meta
|
|
elif base_meta:
|
|
new_class._meta = deepcopy(base_meta)
|
|
new_class.Meta = new_class._meta
|
|
# Unset inherited values we don't want to reuse (typically based on
|
|
# the model name).
|
|
new_class._meta.embedded = False
|
|
new_class._meta.model_key_prefix = None
|
|
new_class._meta.index_name = None
|
|
else:
|
|
new_class._meta = deepcopy(DefaultMeta)
|
|
new_class.Meta = new_class._meta
|
|
|
|
# Create proxies for each model field so that we can use the field
|
|
# in queries, like Model.get(Model.field_name == 1)
|
|
for field_name, field in new_class.__fields__.items():
|
|
if new_class.__name__ == "Order":
|
|
print(new_class.__fields__)
|
|
setattr(new_class, field_name, ExpressionProxy(field, []))
|
|
# Check if this is our FieldInfo version with extended ORM metadata.
|
|
if isinstance(field.field_info, FieldInfo):
|
|
if field.field_info.primary_key:
|
|
new_class._meta.primary_key = PrimaryKey(name=field_name, field=field)
|
|
|
|
if not getattr(new_class._meta, 'global_key_prefix', None):
|
|
new_class._meta.global_key_prefix = getattr(base_meta, "global_key_prefix", "")
|
|
if not getattr(new_class._meta, 'model_key_prefix', None):
|
|
# Don't look at the base class for this.
|
|
new_class._meta.model_key_prefix = f"{new_class.__module__}.{new_class.__name__}"
|
|
if not getattr(new_class._meta, 'primary_key_pattern', None):
|
|
new_class._meta.primary_key_pattern = getattr(base_meta, "primary_key_pattern",
|
|
"{pk}")
|
|
if not getattr(new_class._meta, 'database', None):
|
|
new_class._meta.database = getattr(base_meta, "database",
|
|
redis.Redis(decode_responses=True))
|
|
if not getattr(new_class._meta, 'primary_key_creator_cls', None):
|
|
new_class._meta.primary_key_creator_cls = getattr(base_meta, "primary_key_creator_cls",
|
|
UlidPrimaryKey)
|
|
if not getattr(new_class._meta, 'index_name', None):
|
|
new_class._meta.index_name = f"{new_class._meta.global_key_prefix}:" \
|
|
f"{new_class._meta.model_key_prefix}:index"
|
|
|
|
# Not an abstract model class or embedded model, so we should let the
|
|
# Migrator create indexes for it.
|
|
if abc.ABC not in bases and not new_class._meta.embedded:
|
|
key = f"{new_class.__module__}.{new_class.__qualname__}"
|
|
model_registry[key] = new_class
|
|
|
|
return new_class
|
|
|
|
|
|
class RedisModel(BaseModel, abc.ABC, metaclass=ModelMeta):
|
|
pk: Optional[str] = Field(default=None, primary_key=True)
|
|
|
|
Meta = DefaultMeta
|
|
# TODO: Missing _meta here is causing IDE warnings.
|
|
|
|
class Config:
|
|
orm_mode = True
|
|
arbitrary_types_allowed = True
|
|
extra = 'allow'
|
|
|
|
def __init__(__pydantic_self__, **data: Any) -> None:
|
|
super().__init__(**data)
|
|
__pydantic_self__.validate_primary_key()
|
|
|
|
def __lt__(self, other):
|
|
"""Default sort: compare primary key of models."""
|
|
return self.pk < other.pk
|
|
|
|
@validator("pk", always=True)
|
|
def validate_pk(cls, v):
|
|
if not v:
|
|
v = cls._meta.primary_key_creator_cls().create_pk()
|
|
return v
|
|
|
|
@classmethod
|
|
def validate_primary_key(cls):
|
|
"""Check for a primary key. We need one (and only one)."""
|
|
primary_keys = 0
|
|
for name, field in cls.__fields__.items():
|
|
if getattr(field.field_info, 'primary_key', None):
|
|
primary_keys += 1
|
|
if primary_keys == 0:
|
|
raise RedisModelError("You must define a primary key for the model")
|
|
elif primary_keys > 1:
|
|
raise RedisModelError("You must define only one primary key for a model")
|
|
|
|
@classmethod
|
|
def make_key(cls, part: str):
|
|
global_prefix = getattr(cls._meta, 'global_key_prefix', '').strip(":")
|
|
model_prefix = getattr(cls._meta, 'model_key_prefix', '').strip(":")
|
|
return f"{global_prefix}:{model_prefix}:{part}"
|
|
|
|
@classmethod
|
|
def make_primary_key(cls, pk: Any):
|
|
"""Return the Redis key for this model."""
|
|
return cls.make_key(cls._meta.primary_key_pattern.format(pk=pk))
|
|
|
|
def key(self):
|
|
"""Return the Redis key for this model."""
|
|
pk = getattr(self, self._meta.primary_key.field.name)
|
|
return self.make_primary_key(pk)
|
|
|
|
@classmethod
|
|
def db(cls):
|
|
return cls._meta.database
|
|
|
|
@classmethod
|
|
def find(cls, *expressions: Union[Any, Expression]) -> FindQuery: # TODO: How to type annotate this?
|
|
return FindQuery(expressions=expressions, model=cls)
|
|
|
|
@classmethod
|
|
def from_redis(cls, res: Any):
|
|
# TODO: Parsing logic borrowed from redisearch-py. Evaluate.
|
|
import six
|
|
from six.moves import xrange, zip as izip
|
|
|
|
def to_string(s):
|
|
if isinstance(s, six.string_types):
|
|
return s
|
|
elif isinstance(s, six.binary_type):
|
|
return s.decode('utf-8', 'ignore')
|
|
else:
|
|
return s # Not a string we care about
|
|
|
|
docs = []
|
|
step = 2 # Because the result has content
|
|
offset = 1 # The first item is the count of total matches.
|
|
|
|
for i in xrange(1, len(res), step):
|
|
fields_offset = offset
|
|
|
|
fields = dict(
|
|
dict(izip(map(to_string, res[i + fields_offset][::2]),
|
|
map(to_string, res[i + fields_offset][1::2])))
|
|
)
|
|
|
|
try:
|
|
del fields['id']
|
|
except KeyError:
|
|
pass
|
|
|
|
try:
|
|
fields['json'] = fields['$']
|
|
del fields['$']
|
|
except KeyError:
|
|
pass
|
|
|
|
if 'json' in fields:
|
|
json_fields = json.loads(fields['json'])
|
|
doc = cls(**json_fields)
|
|
else:
|
|
doc = cls(**fields)
|
|
docs.append(doc)
|
|
return docs
|
|
|
|
|
|
@classmethod
|
|
def add(cls, models: Sequence['RedisModel']) -> Sequence['RedisModel']:
|
|
return [model.save() for model in models]
|
|
|
|
@classmethod
|
|
def update(cls, **field_values):
|
|
"""Update this model instance."""
|
|
return cls
|
|
|
|
@classmethod
|
|
def values(cls):
|
|
"""Return raw values from Redis instead of model instances."""
|
|
return cls
|
|
|
|
def delete(self):
|
|
return self.db().delete(self.key())
|
|
|
|
def save(self, *args, **kwargs) -> 'RedisModel':
|
|
raise NotImplementedError
|
|
|
|
@classmethod
|
|
def redisearch_schema(cls):
|
|
raise NotImplementedError
|
|
|
|
|
|
class HashModel(RedisModel, abc.ABC):
|
|
def __init_subclass__(cls, **kwargs):
|
|
super().__init_subclass__(**kwargs)
|
|
|
|
for name, field in cls.__fields__.items():
|
|
if issubclass(field.outer_type_, RedisModel):
|
|
raise RedisModelError(f"HashModels cannot have embedded model "
|
|
f"fields. Field: {name}")
|
|
|
|
for typ in (Set, Mapping, List):
|
|
if issubclass(field.outer_type_, typ):
|
|
raise RedisModelError(f"HashModels cannot have set, list,"
|
|
f" or mapping fields. Field: {name}")
|
|
|
|
def save(self, *args, **kwargs) -> 'HashModel':
|
|
document = jsonable_encoder(self.dict())
|
|
success = self.db().hset(self.key(), mapping=document)
|
|
|
|
return success
|
|
|
|
@classmethod
|
|
def get(cls, pk: Any) -> 'HashModel':
|
|
document = cls.db().hgetall(cls.make_primary_key(pk))
|
|
if not document:
|
|
raise NotFoundError
|
|
return cls.parse_obj(document)
|
|
|
|
@classmethod
|
|
@no_type_check
|
|
def _get_value(cls, *args, **kwargs) -> Any:
|
|
"""
|
|
Always send None as an empty string.
|
|
|
|
TODO: We do this because redis-py's hset() method requires non-null
|
|
values. Is there a better way?
|
|
"""
|
|
val = super()._get_value(*args, **kwargs)
|
|
if val is None:
|
|
return ""
|
|
return val
|
|
|
|
@classmethod
|
|
def redisearch_schema(cls):
|
|
hash_prefix = cls.make_key(cls._meta.primary_key_pattern.format(pk=""))
|
|
schema_prefix = f"ON HASH PREFIX 1 {hash_prefix} SCHEMA"
|
|
schema_parts = [schema_prefix] + cls.schema_for_fields()
|
|
return " ".join(schema_parts)
|
|
|
|
@classmethod
|
|
def schema_for_fields(cls):
|
|
schema_parts = []
|
|
|
|
for name, field in cls.__fields__.items():
|
|
# TODO: Merge this code with schema_for_type()?
|
|
_type = field.outer_type_
|
|
if getattr(field.field_info, 'primary_key', None):
|
|
if issubclass(_type, str):
|
|
redisearch_field = f"{name} TAG SEPARATOR {SINGLE_VALUE_TAG_FIELD_SEPARATOR}"
|
|
else:
|
|
redisearch_field = cls.schema_for_type(name, _type, field.field_info)
|
|
schema_parts.append(redisearch_field)
|
|
elif getattr(field.field_info, 'index', None) is True:
|
|
schema_parts.append(cls.schema_for_type(name, _type, field.field_info))
|
|
# TODO: Raise error if user embeds a model field or list and makes it
|
|
# sortable. Instead, the embedded model should mark individual fields
|
|
# as sortable.
|
|
if getattr(field.field_info, 'sortable', False) is True:
|
|
schema_parts.append("SORTABLE")
|
|
elif get_origin(_type) == list:
|
|
embedded_cls = get_args(_type)
|
|
if not embedded_cls:
|
|
# TODO: Test if this can really happen.
|
|
log.warning("Model %s defined an empty list field: %s", cls, name)
|
|
continue
|
|
embedded_cls = embedded_cls[0]
|
|
schema_parts.append(cls.schema_for_type(name, embedded_cls,
|
|
field.field_info))
|
|
elif issubclass(_type, RedisModel):
|
|
schema_parts.append(cls.schema_for_type(name, _type, field.field_info))
|
|
return schema_parts
|
|
|
|
@classmethod
|
|
def schema_for_type(cls, name, typ: Any, field_info: PydanticFieldInfo):
|
|
if get_origin(typ) == list:
|
|
embedded_cls = get_args(typ)
|
|
if not embedded_cls:
|
|
# TODO: Test if this can really happen.
|
|
log.warning("Model %s defined an empty list field: %s", cls, name)
|
|
return ""
|
|
embedded_cls = embedded_cls[0]
|
|
return cls.schema_for_type(name, embedded_cls, field_info)
|
|
elif any(issubclass(typ, t) for t in NUMERIC_TYPES):
|
|
return f"{name} NUMERIC"
|
|
elif issubclass(typ, str):
|
|
if getattr(field_info, 'full_text_search', False) is True:
|
|
return f"{name} TAG SEPARATOR {SINGLE_VALUE_TAG_FIELD_SEPARATOR} " \
|
|
f"{name}_fts TEXT"
|
|
else:
|
|
return f"{name} TAG SEPARATOR {SINGLE_VALUE_TAG_FIELD_SEPARATOR}"
|
|
elif issubclass(typ, RedisModel):
|
|
sub_fields = []
|
|
for embedded_name, field in typ.__fields__.items():
|
|
sub_fields.append(cls.schema_for_type(f"{name}_{embedded_name}", field.outer_type_,
|
|
field.field_info))
|
|
return " ".join(sub_fields)
|
|
else:
|
|
return f"{name} TAG SEPARATOR {SINGLE_VALUE_TAG_FIELD_SEPARATOR}"
|
|
|
|
|
|
class JsonModel(RedisModel, abc.ABC):
|
|
def save(self, *args, **kwargs) -> 'JsonModel':
|
|
success = self.db().execute_command('JSON.SET', self.key(), ".", self.json())
|
|
return success
|
|
|
|
@classmethod
|
|
def get(cls, pk: Any) -> 'JsonModel':
|
|
document = cls.db().execute_command("JSON.GET", cls.make_primary_key(pk))
|
|
if not document:
|
|
raise NotFoundError
|
|
return cls.parse_raw(document)
|
|
|
|
@classmethod
|
|
def redisearch_schema(cls):
|
|
key_prefix = cls.make_key(cls._meta.primary_key_pattern.format(pk=""))
|
|
schema_prefix = f"ON JSON PREFIX 1 {key_prefix} SCHEMA"
|
|
schema_parts = [schema_prefix] + cls.schema_for_fields()
|
|
return " ".join(schema_parts)
|
|
|
|
@classmethod
|
|
def schema_for_fields(cls):
|
|
schema_parts = []
|
|
json_path = "$"
|
|
|
|
for name, field in cls.__fields__.items():
|
|
_type = field.outer_type_
|
|
schema_parts.append(cls.schema_for_type(
|
|
json_path, name, "", _type, field.field_info))
|
|
return schema_parts
|
|
|
|
@classmethod
|
|
def schema_for_type(cls, json_path: str, name: str, name_prefix: str, typ: Any,
|
|
field_info: PydanticFieldInfo,
|
|
parent_type: Optional[Any] = None) -> str:
|
|
should_index = getattr(field_info, 'index', False)
|
|
field_type = get_origin(typ)
|
|
try:
|
|
field_is_model = issubclass(typ, RedisModel)
|
|
except TypeError:
|
|
# Not a class, probably a type annotation
|
|
field_is_model = False
|
|
|
|
# When we encounter a list or model field, we need to descend
|
|
# into the values of the list or the fields of the model to
|
|
# find any values marked as indexed.
|
|
if field_type == list:
|
|
embedded_cls = get_args(typ)
|
|
if not embedded_cls:
|
|
log.warning("Model %s defined an empty list field: %s", cls, name)
|
|
return ""
|
|
embedded_cls = embedded_cls[0]
|
|
return cls.schema_for_type(f"{json_path}.{name}[*]", name, name_prefix,
|
|
embedded_cls, field_info, parent_type=field_type)
|
|
elif field_is_model:
|
|
name_prefix = f"{name_prefix}_{name}" if name_prefix else name
|
|
sub_fields = []
|
|
for embedded_name, field in typ.__fields__.items():
|
|
if parent_type == list or isinstance(parent_type, RedisModel):
|
|
# This is a list, so the correct JSONPath expression is to
|
|
# refer directly to attribute names after the list notation,
|
|
# e.g. orders[*].created_date.
|
|
path = json_path
|
|
else:
|
|
# All other fields should use dot notation with both the
|
|
# current field name and "embedded" field name, e.g.,
|
|
# order.address.street_line_1.
|
|
path = f"{json_path}.{name}"
|
|
sub_fields.append(cls.schema_for_type(path,
|
|
embedded_name,
|
|
name_prefix,
|
|
field.outer_type_,
|
|
field.field_info,
|
|
parent_type=field_type))
|
|
return " ".join(filter(None, sub_fields))
|
|
elif should_index:
|
|
index_field_name = f"{name_prefix}_{name}" if name_prefix else name
|
|
path = f"{json_path}.{name}"
|
|
if any(issubclass(typ, t) for t in NUMERIC_TYPES):
|
|
schema_part = f"{path} AS {index_field_name} NUMERIC"
|
|
elif issubclass(typ, str):
|
|
if getattr(field_info, 'full_text_search', False) is True:
|
|
schema_part = f"{path} AS {index_field_name} TAG SEPARATOR {SINGLE_VALUE_TAG_FIELD_SEPARATOR} " \
|
|
f"{path} AS {index_field_name}_fts TEXT"
|
|
else:
|
|
schema_part = f"{path} AS {index_field_name} TAG SEPARATOR {SINGLE_VALUE_TAG_FIELD_SEPARATOR}"
|
|
else:
|
|
schema_part = f"{path} AS {index_field_name} TAG"
|
|
# TODO: GEO field
|
|
if should_index:
|
|
schema_part += " SORTABLE"
|
|
return schema_part
|
|
|
|
return ""
|