| | from typing import Any, Generator, List, Optional |
| |
|
| | from .dict_utils import dict_get, dict_set |
| | from .operators import FieldOperator, StreamOperator |
| | from .stream import Stream |
| | from .utils import recursive_shallow_copy |
| |
|
| |
|
| | class Dictify(FieldOperator): |
| | with_keys: List[str] |
| |
|
| | def process_value(self, tup: Any) -> Any: |
| | return dict(zip(self.with_keys, tup)) |
| |
|
| |
|
| | class Wrap(FieldOperator): |
| | inside: str |
| |
|
| | def verify(self): |
| | super().verify() |
| | if self.inside not in ["list", "tuple", "set"]: |
| | raise ValueError( |
| | f"Wrap.inside support only types: [list, tuple, set], got {self.inside}" |
| | ) |
| |
|
| | def process_value(self, value: Any) -> Any: |
| | if self.inside == "list": |
| | return [value] |
| | if self.inside == "tuple": |
| | return (value,) |
| | return { |
| | value, |
| | } |
| |
|
| |
|
| | class Chunk(FieldOperator): |
| | size: int |
| |
|
| | def process_value(self, collection: Any) -> Any: |
| | return [ |
| | collection[i : i + self.size] for i in range(0, len(collection), self.size) |
| | ] |
| |
|
| |
|
| | class Slice(FieldOperator): |
| | start: Optional[int] = None |
| | stop: Optional[int] = None |
| | step: Optional[int] = None |
| |
|
| | def process_value(self, collection: Any) -> Any: |
| | slicer = slice(self.start, self.stop, self.step) |
| | return collection[slicer] |
| |
|
| |
|
| | class Get(FieldOperator): |
| | item: Any |
| |
|
| | def process_value(self, collection: Any) -> Any: |
| | return collection[self.item] |
| |
|
| |
|
| | class DuplicateByList(StreamOperator): |
| | field: str |
| | to_field: Optional[str] = None |
| | use_deep_copy: bool = False |
| |
|
| | def process(self, stream: Stream, stream_name: Optional[str] = None) -> Generator: |
| | to_field = self.field if self.to_field is None else self.to_field |
| | for instance in stream: |
| | elements = dict_get(instance, self.field) |
| | for element in elements: |
| | if self.use_deep_copy: |
| | instance_copy = recursive_shallow_copy(instance) |
| |
|
| | else: |
| | instance_copy = instance.copy() |
| | dict_set(instance_copy, to_field, element) |
| | yield instance_copy |
| |
|
| |
|
| | class Explode(DuplicateByList): |
| | pass |
| |
|
| |
|
| | class DuplicateBySubLists(StreamOperator): |
| | field: str |
| | to_field: Optional[str] = None |
| | use_deep_copy: bool = False |
| |
|
| | def process(self, stream: Stream, stream_name: Optional[str] = None) -> Generator: |
| | to_field = self.field if self.to_field is None else self.to_field |
| | for instance in stream: |
| | elements = instance[self.field] |
| | for i in range(1, len(elements) + 1): |
| | if self.use_deep_copy: |
| | instance_copy = recursive_shallow_copy(instance) |
| | instance_copy[to_field] = elements[:i] |
| | else: |
| | instance_copy = { |
| | **instance, |
| | self.field: elements, |
| | to_field: elements[:i], |
| | } |
| | yield instance_copy |
| |
|
| |
|
| | class GetLength(FieldOperator): |
| | def process_value(self, collection: Any) -> Any: |
| | return len(collection) |
| |
|
| |
|
| | class Filter(FieldOperator): |
| | values: List[Any] |
| |
|
| | def process_value(self, collection: Any) -> Any: |
| | |
| | if isinstance(collection, (list, set, tuple)): |
| | return type(collection)( |
| | item for item in collection if item not in self.values |
| | ) |
| |
|
| | |
| | if isinstance(collection, dict): |
| | return {k: v for k, v in collection.items() if k not in self.values} |
| |
|
| | |
| | raise TypeError(f"Unsupported collection type: {type(collection)}") |
| |
|