trulens.core.utils.serial¶

trulens.core.utils.serial ¶

Serialization utilities.

TODO: Lens class: can we store just the python AST instead of building up our own "Step" classes to hold the same data? We are already using AST for parsing.

Attributes¶

JSON_BASES `module-attribute` ¶

JSON_BASES: Tuple[type, ...] = (
    str,
    int,
    float,
    bytes,
    type(None),
)

Tuple of JSON-able base types.

Can be used in isinstance checks.

JSON_BASES_T `module-attribute` ¶

JSON_BASES_T = Union[str, int, float, bytes, None]

Alias for JSON-able base types.

JSON `module-attribute` ¶

JSON = Union[JSON_BASES_T, Sequence[Any], Dict[str, Any]]

Alias for (non-strict) JSON-able data (Any = JSON).

If used with type argument, that argument indicates what the JSON represents and can be desererialized into.

Formal JSON must be a dict at the root but non-strict here means that the root can be a basic type or a sequence as well.

JSON_STRICT `module-attribute` ¶

JSON_STRICT = Dict[str, JSON]

Alias for (strictly) JSON-able data.

Python object that is directly mappable to JSON.

Classes¶

JSONized ¶

Bases: dict, Generic[T]

JSON-encoded data the can be deserialized into a given type T.

This class is meant only for type annotations. Any serialization/deserialization logic is handled by different classes, usually subclasses of pydantic.BaseModel.

Functions¶

__get_pydantic_core_schema__ `classmethod` ¶

__get_pydantic_core_schema__(
    source_type: Any, handler: GetCoreSchemaHandler
) -> CoreSchema

Make pydantic treat this class same as a dict.

Step ¶

Bases: BaseModel, Hashable

A step in a selection path.

Functions¶

get ¶

get(obj: Any) -> Iterable[Any]

Get the element of obj, indexed by self.

set ¶

set(obj: Any, val: Any) -> Any

Set the value(s) indicated by self in obj to value val.

GetAttribute ¶

Bases: StepItemOrAttribute

An attribute lookup step as in someobject.someattribute.

GetIndex ¶

Bases: Step

An index lookup step as in someobject[5].

GetItem ¶

Bases: StepItemOrAttribute

An item lookup step as in someobject["somestring"].

GetItemOrAttribute ¶

Bases: StepItemOrAttribute

A step in a path lens that selects an item or an attribute.

Note

TruLens allows looking up elements within sequences if the subelements have the item or attribute. We issue warning if this is ambiguous (looking up in a sequence of more than 1 element).

SerialModel ¶

Bases: BaseModel

Trulens-specific additions on top of pydantic models. Includes utilities to help serialization mostly.

Functions¶

__rich_repr__ ¶

__rich_repr__() -> Result

Requirement for pretty printing using the rich package.

Lens ¶

Bases: BaseModel, Sized, Hashable

Lenses into Python objects.

Example

path = Lens().record[5]['somekey']

obj = ... # some object that contains a value at `obj.record[5]['somekey]`

value_at_path = path.get(obj) # that value

new_obj = path.set(obj, 42) # updates the value to be 42 instead

`collect` and special attributes¶

Some attributes hold special meaning for lenses. Attempting to access them will produce a special lens instead of one that looks up that attribute.

Example

path = Lens().record[:]

obj = dict(record=[1, 2, 3])

value_at_path = path.get(obj) # generates 3 items: 1, 2, 3 (not a list)

path_collect = path.collect()

value_at_path = path_collect.get(obj) # generates a single item, [1, 2, 3] (a list)

Functions¶

existing_prefix ¶

existing_prefix(obj: Any) -> Lens

Get the Lens representing the longest prefix of the path that exists in the given object.

exists ¶

exists(obj: Any) -> bool

Check whether the path exists in the given object.

of_string `staticmethod` ¶

of_string(s: str) -> Lens

Convert a string representing a Python expression into a Lens.

set_or_append ¶

set_or_append(obj: Any, val: Any) -> Any

If obj at path self is None or does not exist, sets it to a list containing only the given val. If it already exists as a sequence, appends val to that sequence as a list. If it is set but not a sequence, error is thrown.

set ¶

set(obj: T, val: Union[Any, T]) -> T

In obj at path self exists, change it to val. Otherwise create a spot for it with Munch objects and then set it.

LensedDict ¶

Bases: dict, Generic[T]

A dictionary which can be accessed using lenses.

Functions¶

setitem ¶

__setitem__(__name: Union[str, Lens], __value: T) -> None

Allow setitem to work on Lenses instead of just strings. Uses Lens.set if a lens is given.

Functions¶

is_strict_json ¶

is_strict_json(obj: Any) -> bool

Determine if the given object is JSON-able, strictly.

Strict JSON starts as a dictionary at the root.

is_json ¶

is_json(obj: Any) -> bool

Determine if the given object is JSON-able.

model_dump ¶

model_dump(obj: Union[BaseModel, BaseModel]) -> dict

Return the dict/model_dump of the given pydantic instance regardless of it being v2 or v1.

leaf_queries ¶

leaf_queries(
    obj_json: JSON, query: Lens = None
) -> Iterable[Lens]

Get all queries for the given object that select all of its leaf values.

all_queries ¶

all_queries(obj: Any, query: Lens = None) -> Iterable[Lens]

Get all queries for the given object.

all_objects ¶

all_objects(
    obj: Any, query: Lens = None
) -> Iterable[Tuple[Lens, Any]]

Get all queries for the given object.

trulens.core.utils.serial¶