Source code for py_gql.utilities.ast_node_from_value

# -*- coding: utf-8 -*-

import re
from typing import Any

from .._utils import is_iterable
from ..lang import ast as _ast
from ..schema import (
from ..schema.scalars import MAX_INT, MIN_INT, SPECIFIED_SCALAR_TYPES

_INT_RE = re.compile(r"^-?(0|[1-9][0-9]*)$")

[docs]def ast_node_from_value(value: Any, input_type: GraphQLType) -> _ast.Value: """ Infer an input value ast Node from a Python value given an input type. Args: value: Any python value that can be transformed into a node input_type: Input type used to disambiguate between node types. Returns: Inferred value node Raises: ValueError: When coercion into a node fails TypeError: When input_type is not an input type """ if not is_input_type(input_type): raise TypeError('Expected input type but got "%r"' % input_type) if isinstance(input_type, NonNullType): node = ast_node_from_value(value, input_type.type) if isinstance(node, _ast.NullValue): raise ValueError('Value of type "%s" cannot be null' % input_type) return node if value is None: return _ast.NullValue() if isinstance(input_type, ListType): if is_iterable(value, strings=False): return _ast.ListValue( values=[ ast_node_from_value(entry, input_type.type) for entry in value ] ) return ast_node_from_value(value, input_type.type) if isinstance(input_type, InputObjectType): return _object_value_node_from_value(input_type, value) if isinstance(input_type, ScalarType): serialized = input_type.serialize(value) elif isinstance(input_type, EnumType): serialized = input_type.get_name(value) else: # Should never happen if previous precondition have been # implemented correctly. raise TypeError(repr(input_type)) if serialized is None: return _ast.NullValue() try: return _scalar_node_from_value(input_type, serialized) except ValueError: pass raise ValueError( 'Cannot convert value %r for type "%s"' % (value, input_type) )
def _object_value_node_from_value( input_type: InputObjectType, value: Any ) -> _ast.ObjectValue: if not isinstance(value, dict): raise ValueError('Value of type "%s" must be a dict' % input_type) field_nodes = [] for field_def in input_type.fields: if in value: field_value = ast_node_from_value( value[], field_def.type ) field_nodes.append( _ast.ObjectField( name=_ast.Name(, value=field_value ) ) elif field_def.required: raise ValueError( 'Field "%s" of type "%s" is required' % (, input_type) ) return _ast.ObjectValue(fields=field_nodes) def _scalar_node_from_value( input_type: GraphQLType, scalar_value: Any ) -> _ast.Value: if isinstance(scalar_value, bool): return _ast.BooleanValue(value=scalar_value) if isinstance(scalar_value, (int, float)): if input_type is Int: return _ast.IntValue(value=str(scalar_value)) elif input_type is Float: int_value = int(scalar_value) if int_value == scalar_value and MIN_INT < int_value < MAX_INT: return _ast.IntValue(value=str(int_value)) return _ast.FloatValue(value=str(scalar_value)) if isinstance(scalar_value, str): if isinstance(input_type, EnumType): return _ast.EnumValue(value=scalar_value) elif input_type is ID and _INT_RE.match(scalar_value): return _ast.IntValue(value=scalar_value) elif ( isinstance(input_type, ScalarType) and input_type not in SPECIFIED_SCALAR_TYPES ): if _INT_RE.match(scalar_value): int_value = int(scalar_value) if MIN_INT < int_value < MAX_INT: return _ast.IntValue(value=scalar_value) else: return _ast.FloatValue(value=scalar_value) try: fl = float(scalar_value) except ValueError: pass else: return _ast.FloatValue(value=str(fl)) return _ast.StringValue(value=scalar_value) raise ValueError()