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refactor: replace StrInput with TextInput

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This commit is contained in:
ogabrielluiz 2024-06-17 12:59:58 -03:00
commit 8aa97ccd98
13 changed files with 57 additions and 62 deletions
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6
src/backend/base/langflow/components/data/APIRequest.py
View file

@ -7,7 +7,7 @@ from loguru import logger
from langflow.base.curl.parse import parse_context
from langflow.custom import Component
from langflow.inputs import DropdownInput, IntInput, NestedDictInput, StrInput
from langflow.inputs import DropdownInput, IntInput, NestedDictInput, TextInput
from langflow.schema import Data
from langflow.schema.dotdict import dotdict
from langflow.template import Output
@ -19,13 +19,13 @@ class APIRequestComponent(Component):
icon = "Globe"
inputs = [
StrInput(
TextInput(
name="urls",
display_name="URLs",
is_list=True,
info="Enter one or more URLs, separated by commas.",
),
StrInput(
TextInput(
name="curl",
display_name="Curl",
info="Paste a curl command to populate the fields.",

6
src/backend/base/langflow/components/data/Directory.py
View file

@ -2,7 +2,7 @@ from typing import List, Optional
from langflow.base.data.utils import parallel_load_data, parse_text_file_to_data, retrieve_file_paths
from langflow.custom import Component
from langflow.inputs import StrInput, IntInput, BoolInput
from langflow.inputs import TextInput, IntInput, BoolInput
from langflow.template import Output
from langflow.schema import Data
@ -13,12 +13,12 @@ class DirectoryComponent(Component):
icon = "folder"
inputs = [
StrInput(
TextInput(
name="path",
display_name="Path",
info="Path to the directory to load files from.",
),
StrInput(
TextInput(
name="types",
display_name="Types",
info="File types to load. Leave empty to load all types.",

8
src/backend/base/langflow/components/data/URL.py
View file

@ -1,12 +1,12 @@
import re
from langchain_community.document_loaders.web_base import WebBaseLoader
from langflow.custom import Component
from langflow.inputs import StrInput
from langflow.inputs import TextInput
from langflow.schema import Data
from langflow.template import Output
import re
class URLComponent(Component):
display_name = "URL"
@ -14,7 +14,7 @@ class URLComponent(Component):
icon = "layout-template"
inputs = [
StrInput(
TextInput(
name="urls",
display_name="URLs",
info="Enter one or more URLs, separated by commas.",

14
src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py
View file

@ -2,7 +2,7 @@ from langchain_openai.embeddings.base import OpenAIEmbeddings
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Embeddings
from langflow.inputs import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, StrInput
from langflow.inputs import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, TextInput
from langflow.template import Output
@ -24,8 +24,8 @@ class OpenAIEmbeddingsComponent(LCModelComponent):
info="Default query parameters to use for the API request.",
),
IntInput(name="chunk_size", display_name="Chunk Size", advanced=True, value=1000),
StrInput(name="client", display_name="Client", advanced=True),
StrInput(name="deployment", display_name="Deployment", advanced=True),
TextInput(name="client", display_name="Client", advanced=True),
TextInput(name="deployment", display_name="Deployment", advanced=True),
IntInput(name="embedding_ctx_length", display_name="Embedding Context Length", advanced=True, value=1536),
IntInput(name="max_retries", display_name="Max Retries", value=3, advanced=True),
DropdownInput(
@ -43,17 +43,17 @@ class OpenAIEmbeddingsComponent(LCModelComponent):
SecretStrInput(name="openai_api_base", display_name="OpenAI API Base", advanced=True),
SecretStrInput(name="openai_api_key", display_name="OpenAI API Key"),
SecretStrInput(name="openai_api_type", display_name="OpenAI API Type", advanced=True),
StrInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
StrInput(
TextInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
TextInput(
name="openai_organization",
display_name="OpenAI Organization",
advanced=True,
),
StrInput(name="openai_proxy", display_name="OpenAI Proxy", advanced=True),
TextInput(name="openai_proxy", display_name="OpenAI Proxy", advanced=True),
FloatInput(name="request_timeout", display_name="Request Timeout", advanced=True),
BoolInput(name="show_progress_bar", display_name="Show Progress Bar", advanced=True),
BoolInput(name="skip_empty", display_name="Skip Empty", advanced=True),
StrInput(
TextInput(
name="tiktoken_model_name",
display_name="TikToken Model Name",
advanced=True,

9
src/backend/base/langflow/components/experimental/SelectivePassThrough.py
View file

@ -1,20 +1,21 @@
from langflow.custom import Component
from langflow.field_typing import Text
from langflow.inputs import BoolInput, DropdownInput, StrInput
from langflow.inputs import BoolInput, DropdownInput, TextInput
from langflow.template import Output
class SelectivePassThroughComponent(Component):
display_name = "Selective Pass Through"
description = "Passes the specified value if a specified condition is met."
icon = "filter"
inputs = [
StrInput(
TextInput(
name="input_value",
display_name="Input Value",
info="The primary input value to evaluate.",
),
StrInput(
TextInput(
name="comparison_value",
display_name="Comparison Value",
info="The value to compare against the input value.",
@ -25,7 +26,7 @@ class SelectivePassThroughComponent(Component):
options=["equals", "not equals", "contains", "starts with", "ends with"],
info="Condition to evaluate the input value.",
),
StrInput(
TextInput(
name="value_to_pass",
display_name="Value to Pass",
info="The value to pass if the condition is met.",

25
src/backend/base/langflow/components/experimental/SplitText.py
View file

@ -1,7 +1,7 @@
from typing import List
from langflow.custom import Component
from langflow.inputs import IntInput, StrInput, HandleInput
from langflow.inputs import HandleInput, IntInput, TextInput
from langflow.schema import Data
from langflow.template import Output
from langflow.utils.util import unescape_string
@ -13,45 +13,40 @@ class SplitContentComponent(Component):
icon = "split"
inputs = [
HandleInput(
name="data",
display_name="Data",
info="Data with text to split.",
input_types=["Data"]
),
StrInput(
HandleInput(name="data", display_name="Data", info="Data with text to split.", input_types=["Data"]),
TextInput(
name="content_key",
display_name="Content Key",
info="The key to access the text content in the Data object.",
value="content",
),
StrInput(
TextInput(
name="separator",
display_name="Separator",
info='The character to split on. Defaults to "\n".',
value="\n",
advanced=True
advanced=True,
),
IntInput(
name="chunk_size",
display_name="Chunk Size",
info="The target length (in number of characters) of each chunk.",
value=0,
advanced=True
advanced=True,
),
IntInput(
name="min_chunk_size",
display_name="Minimum Chunk Size",
info="The minimum size of chunks. Smaller chunks will be merged.",
value=0,
advanced=True
advanced=True,
),
IntInput(
name="max_chunk_size",
display_name="Maximum Chunk Size",
info="The maximum size of chunks. Larger chunks will be split.",
value=0,
advanced=True
advanced=True,
),
]
@ -70,9 +65,9 @@ class SplitContentComponent(Component):
buffer = ""
for row in data:
content = row.data.get(content_key, '')
content = row.data.get(content_key, "")
if chunk_size > 0:
chunks = [content[i:i + chunk_size] for i in range(0, len(content), chunk_size)]
chunks = [content[i : i + chunk_size] for i in range(0, len(content), chunk_size)]
else:
chunks = content.split(separator)

10
src/backend/base/langflow/components/experimental/TextOperator.py
View file

@ -1,6 +1,6 @@
from langflow.custom import Component
from langflow.field_typing import Text
from langflow.inputs import BoolInput, DropdownInput, StrInput
from langflow.inputs import BoolInput, DropdownInput, TextInput
from langflow.template import Output
@ -10,12 +10,12 @@ class TextOperatorComponent(Component):
icon = "equal"
inputs = [
StrInput(
TextInput(
name="input_text",
display_name="Input Text",
info="The primary text input for the operation.",
),
StrInput(
TextInput(
name="match_text",
display_name="Match Text",
info="The text input to compare against.",
@ -33,13 +33,13 @@ class TextOperatorComponent(Component):
value=False,
advanced=True,
),
StrInput(
TextInput(
name="true_output",
display_name="True Output",
info="The output to return or display when the comparison is true.",
advanced=True,
),
StrInput(
TextInput(
name="false_output",
display_name="False Output",
info="The output to return or display when the comparison is false.",

9
src/backend/base/langflow/components/helpers/CombineText.py
View file

@ -1,6 +1,5 @@
from langflow.custom import Component
from langflow.field_typing import Text
from langflow.inputs import StrInput
from langflow.field_typing import Text, TextInput
from langflow.template import Output
@ -10,17 +9,17 @@ class CombineTextComponent(Component):
icon = "merge"
inputs = [
StrInput(
TextInput(
name="text1",
display_name="First Text",
info="The first text input to concatenate.",
),
StrInput(
TextInput(
name="text2",
display_name="Second Text",
info="The second text input to concatenate.",
),
StrInput(
TextInput(
name="delimiter",
display_name="Delimiter",
info="A string used to separate the two text inputs. Defaults to a whitespace.",

4
src/backend/base/langflow/components/helpers/CustomComponent.py
View file

@ -1,6 +1,6 @@
# from langflow.field_typing import Data
from langflow.custom import Component
from langflow.inputs import StrInput
from langflow.inputs import TextInput
from langflow.schema import Data
from langflow.template import Output
@ -12,7 +12,7 @@ class CustomComponent(Component):
icon = "custom_components"
inputs = [
StrInput(name="input_value", display_name="Input Value", value="Hello, World!"),
TextInput(name="input_value", display_name="Input Value", value="Hello, World!"),
]
outputs = [

4
src/backend/base/langflow/components/helpers/FilterData.py
View file

@ -1,7 +1,7 @@
from typing import List
from langflow.custom import Component
from langflow.inputs import StrInput, HandleInput
from langflow.inputs import HandleInput, TextInput
from langflow.schema import Data
from langflow.template import Output
@ -18,7 +18,7 @@ class FilterDataComponent(Component):
info="Data object to filter.",
input_types=["Message", "Data"],
),
StrInput(
TextInput(
name="filter_criteria",
display_name="Filter Criteria",
info="List of keys to filter by.",

10
src/backend/base/langflow/components/helpers/Memory.py
View file

@ -1,11 +1,11 @@
from typing import List
from langflow.custom import Component
from langflow.inputs import DropdownInput, StrInput, IntInput
from langflow.template import Output
from langflow.field_typing import Text
from langflow.inputs import DropdownInput, IntInput, TextInput
from langflow.memory import get_messages
from langflow.schema import Data
from langflow.field_typing import Text
from langflow.template import Output
class MemoryComponent(Component):
@ -22,7 +22,7 @@ class MemoryComponent(Component):
info="Type of sender.",
advanced=True,
),
StrInput(
TextInput(
name="sender_name",
display_name="Sender Name",
info="Name of the sender.",
@ -35,7 +35,7 @@ class MemoryComponent(Component):
info="Number of messages to retrieve.",
advanced=True,
),
StrInput(
TextInput(
name="session_id",
display_name="Session ID",
info="Session ID of the chat history.",

10
src/backend/base/langflow/components/inputs/ChatInput.py
View file

@ -1,8 +1,8 @@
from langflow.base.io.chat import ChatComponent
from langflow.inputs import DropdownInput, StrInput
from langflow.field_typing import Text
from langflow.inputs import DropdownInput, TextInput
from langflow.schema.message import Message
from langflow.template import Output
from langflow.field_typing import Text
class ChatInput(ChatComponent):
@ -11,7 +11,7 @@ class ChatInput(ChatComponent):
icon = "ChatInput"
inputs = [
StrInput(
TextInput(
name="input_value",
display_name="Text",
multiline=True,
@ -27,7 +27,7 @@ class ChatInput(ChatComponent):
info="Type of sender.",
advanced=True,
),
StrInput(
TextInput(
name="sender_name",
type=str,
display_name="Sender Name",
@ -35,7 +35,7 @@ class ChatInput(ChatComponent):
value="User",
advanced=True,
),
StrInput(
TextInput(
name="session_id", type=str, display_name="Session ID", info="Session ID for the message.", advanced=True
),
]

4
src/backend/base/langflow/components/inputs/TextInput.py
View file

@ -1,6 +1,6 @@
from langflow.base.io.text import TextComponent
from langflow.field_typing import Text
from langflow.inputs import StrInput
from langflow.inputs import TextInput
from langflow.template import Output
@ -10,7 +10,7 @@ class TextInputComponent(TextComponent):
icon = "type"
inputs = [
StrInput(
TextInput(
name="input_value",
display_name="Text",
info="Text to be passed as input.",