1794405984
* add type annotations to run,warm_up, __str__ * none and any type annotations * type annotations * __init__ return type annotation * list[Document] instead of Any return type annotations * fmt * typing * add run_async return type annotation for LinkContentFetcher * run_async return type annotations * fixing docstrings --------- Co-authored-by: David S. Batista <dsbatista@gmail.com>
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
|
|
#
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
from typing import Any
|
|
|
|
from haystack.core.component import component
|
|
|
|
|
|
@component
|
|
class FString:
|
|
"""
|
|
Takes a template string and a list of variables in input and returns the formatted string in output.
|
|
"""
|
|
|
|
def __init__(self, template: str, variables: list[str] | None = None) -> None:
|
|
self.template = template
|
|
self.variables = variables or []
|
|
if "template" in self.variables:
|
|
raise ValueError("The variable name 'template' is reserved and cannot be used.")
|
|
component.set_input_types(self, **dict.fromkeys(self.variables, Any))
|
|
|
|
@component.output_types(string=str)
|
|
def run(self, template: str | None = None, **kwargs):
|
|
"""
|
|
Takes a template string and a list of variables in input and returns the formatted string in output.
|
|
|
|
If the template is not given, the component will use the one given at initialization.
|
|
"""
|
|
if not template:
|
|
template = self.template
|
|
return {"string": template.format(**kwargs)}
|