morpheus_llm.service.vdb.milvus_vector_db_service.FieldSchemaEncoder#

class FieldSchemaEncoder( *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None, )[source]#

Bases: JSONEncoder

Methods

`default`(o)	Serialize objects to a JSON-compatible string format.
`dump`(field, f)	Serialize a FieldSchema object to a JSON file.
`dumps`(field)	Serialize a FieldSchema object to a JSON-compatible string format.
`encode`(o)	Return a JSON string representation of a Python data structure.
`from_dict`(field)	Convert a dictionary to a FieldSchema object.
`iterencode`(o[, _one_shot])	Encode the given object and yield each string representation as available.
`load`(f_obj)	Deserialize a JSON file to a FieldSchema object.
`loads`(field)	Deserialize a JSON-compatible string to a FieldSchema object.
`object_hook`(obj)	Updated dictionary with pymilvus datatype.

default(o)[source]#

Serialize objects to a JSON-compatible string format.

Parameters:

otyping.Any: Object to be serialized.

Returns:

str: JSON-compatible string format of the object.

static dump(field, f)[source]#

Serialize a FieldSchema object to a JSON file.

Parameters:

fieldpymilvus.FieldSchema: FieldSchema object to be serialized.
ftyping.IO: File-like object to which the data is serialized.

Returns:

str: JSON string.

static dumps(field)[source]#

Serialize a FieldSchema object to a JSON-compatible string format.

Parameters:

fieldpymilvus.FieldSchema: FieldSchema object to be serialized.

Returns:

str: JSON-compatible string format of the FieldSchema object.

encode(o)[source]#

Return a JSON string representation of a Python data structure.

>>> from json.encoder import JSONEncoder
>>> JSONEncoder().encode({"foo": ["bar", "baz"]})
'{"foo": ["bar", "baz"]}'

static from_dict(field)[source]#

Convert a dictionary to a FieldSchema object.

Parameters:

fielddict: Dictionary to be converted to a FieldSchema object.

Returns:

pymilvus.FieldSchema: Converted FieldSchema object.

iterencode(o, _one_shot=False)[source]#

Encode the given object and yield each string representation as available.

For example:

for chunk in JSONEncoder().iterencode(bigobject):
    mysocket.write(chunk)

static load(f_obj)[source]#

Deserialize a JSON file to a FieldSchema object.

Parameters:

f_objtyping.IO: File-like object from which the data is deserialized.

Returns:

pymilvus.FieldSchema: Deserialized FieldSchema object.

static loads(field)[source]#

Deserialize a JSON-compatible string to a FieldSchema object.

Parameters:

fieldstr: JSON-compatible string to be deserialized.

Returns:

pymilvus.FieldSchema: Deserialized FieldSchema object.

static object_hook(obj)[source]#

Updated dictionary with pymilvus datatype.

Parameters:

objdict: Dictionary to be converted.

Returns:

dict: Dictionary with changes to its original format.