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refactor: rename TextInput to MessageTextInput

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This commit is contained in:
Gabriel Luiz Freitas Almeida 2024-06-23 17:51:41 -03:00
commit 93a2164543
35 changed files with 119 additions and 112 deletions
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8
src/backend/base/langflow/components/agents/ToolCallingAgent.py
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@ -5,7 +5,7 @@ from langchain.agents.tool_calling_agent.base import create_tool_calling_agent
from langchain_core.prompts import ChatPromptTemplate
from langflow.custom import Component
from langflow.io import BoolInput, HandleInput, Output, TextInput
from langflow.io import BoolInput, HandleInput, MessageTextInput, Output
from langflow.schema import Data
from langflow.schema.message import Message
@ -16,18 +16,18 @@ class ToolCallingAgentComponent(Component):
icon = "LangChain"
inputs = [
TextInput(
MessageTextInput(
name="system_prompt",
display_name="System Prompt",
info="System prompt for the agent.",
value="You are a helpful assistant",
),
TextInput(
MessageTextInput(
name="input_value",
display_name="Inputs",
info="Input text to pass to the agent.",
),
TextInput(
MessageTextInput(
name="user_prompt",
display_name="Prompt",
info="This prompt must contain 'input' key.",

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

@ -8,7 +8,7 @@ from loguru import logger
from langflow.base.curl.parse import parse_context
from langflow.custom import Component
from langflow.io import DataInput, DropdownInput, IntInput, NestedDictInput, Output, TextInput
from langflow.io import DataInput, DropdownInput, IntInput, MessageTextInput, NestedDictInput, Output
from langflow.schema import Data
from langflow.schema.dotdict import dotdict
@ -24,13 +24,13 @@ class APIRequestComponent(Component):
icon = "Globe"
inputs = [
TextInput(
MessageTextInput(
name="urls",
display_name="URLs",
is_list=True,
info="Enter one or more URLs, separated by commas.",
),
TextInput(
MessageTextInput(
name="curl",
display_name="Curl",
info="Paste a curl command to populate the fields. This will fill in the dictionary fields for headers and body.",

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.io import BoolInput, IntInput, TextInput
from langflow.io import BoolInput, IntInput, MessageTextInput
from langflow.schema import Data
from langflow.template import Output
@ -13,12 +13,12 @@ class DirectoryComponent(Component):
icon = "folder"
inputs = [
TextInput(
MessageTextInput(
name="path",
display_name="Path",
info="Path to the directory to load files from.",
),
TextInput(
MessageTextInput(
name="types",
display_name="Types",
info="File types to load. Leave empty to load all types.",

4
src/backend/base/langflow/components/data/URL.py
View file

@ -3,7 +3,7 @@ import re
from langchain_community.document_loaders.web_base import WebBaseLoader
from langflow.custom import Component
from langflow.io import Output, TextInput
from langflow.io import MessageTextInput, Output
from langflow.schema import Data
@ -13,7 +13,7 @@ class URLComponent(Component):
icon = "layout-template"
inputs = [
TextInput(
MessageTextInput(
name="urls",
display_name="URLs",
info="Enter one or more URLs, separated by commas.",

9
src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py
View file

@ -1,7 +1,8 @@
from langchain_community.embeddings import BedrockEmbeddings
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Embeddings
from langflow.io import DropdownInput, Output, TextInput
from langflow.io import DropdownInput, MessageTextInput, Output
class AmazonBedrockEmbeddingsComponent(LCModelComponent):
@ -17,15 +18,15 @@ class AmazonBedrockEmbeddingsComponent(LCModelComponent):
options=["amazon.titan-embed-text-v1"],
value="amazon.titan-embed-text-v1",
),
TextInput(
MessageTextInput(
name="credentials_profile_name",
display_name="Credentials Profile Name",
),
TextInput(
MessageTextInput(
name="endpoint_url",
display_name="Bedrock Endpoint URL",
),
TextInput(
MessageTextInput(
name="region_name",
display_name="AWS Region",
),

6
src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py
View file

@ -3,7 +3,7 @@ from pydantic.v1 import SecretStr
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Embeddings
from langflow.io import DropdownInput, IntInput, Output, SecretStrInput, TextInput
from langflow.io import DropdownInput, IntInput, MessageTextInput, Output, SecretStrInput
class AzureOpenAIEmbeddingsComponent(LCModelComponent):
@ -22,13 +22,13 @@ class AzureOpenAIEmbeddingsComponent(LCModelComponent):
]
inputs = [
TextInput(
MessageTextInput(
name="azure_endpoint",
display_name="Azure Endpoint",
required=True,
info="Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/`",
),
TextInput(
MessageTextInput(
name="azure_deployment",
display_name="Deployment Name",
required=True,

6
src/backend/base/langflow/components/embeddings/CohereEmbeddings.py
View file

@ -2,7 +2,7 @@ from langchain_community.embeddings.cohere import CohereEmbeddings
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Embeddings
from langflow.io import DropdownInput, FloatInput, IntInput, Output, SecretStrInput, TextInput
from langflow.io import DropdownInput, FloatInput, IntInput, MessageTextInput, Output, SecretStrInput
class CohereEmbeddingsComponent(LCModelComponent):
@ -23,9 +23,9 @@ class CohereEmbeddingsComponent(LCModelComponent):
],
value="embed-english-v2.0",
),
TextInput(name="truncate", display_name="Truncate", advanced=True),
MessageTextInput(name="truncate", display_name="Truncate", advanced=True),
IntInput(name="max_retries", display_name="Max Retries", value=3, advanced=True),
TextInput(name="user_agent", display_name="User Agent", advanced=True, value="langchain"),
MessageTextInput(name="user_agent", display_name="User Agent", advanced=True, value="langchain"),
FloatInput(name="request_timeout", display_name="Request Timeout", advanced=True),
]

6
src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py
View file

@ -2,7 +2,7 @@ from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Embeddings
from langflow.io import BoolInput, DictInput, TextInput, Output
from langflow.io import BoolInput, DictInput, MessageTextInput, Output
class HuggingFaceEmbeddingsComponent(LCModelComponent):
@ -14,10 +14,10 @@ class HuggingFaceEmbeddingsComponent(LCModelComponent):
icon = "HuggingFace"
inputs = [
TextInput(name="cache_folder", display_name="Cache Folder", advanced=True),
MessageTextInput(name="cache_folder", display_name="Cache Folder", advanced=True),
DictInput(name="encode_kwargs", display_name="Encode Kwargs", advanced=True),
DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
TextInput(name="model_name", display_name="Model Name", value="sentence-transformers/all-mpnet-base-v2"),
MessageTextInput(name="model_name", display_name="Model Name", value="sentence-transformers/all-mpnet-base-v2"),
BoolInput(name="multi_process", display_name="Multi Process", advanced=True),
]

6
src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
View file

@ -3,7 +3,7 @@ from pydantic.v1.types import SecretStr
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Embeddings
from langflow.io import Output, SecretStrInput, TextInput
from langflow.io import MessageTextInput, Output, SecretStrInput
class HuggingFaceInferenceAPIEmbeddingsComponent(LCModelComponent):
@ -14,8 +14,8 @@ class HuggingFaceInferenceAPIEmbeddingsComponent(LCModelComponent):
inputs = [
SecretStrInput(name="api_key", display_name="API Key", advanced=True),
TextInput(name="api_url", display_name="API URL", advanced=True, value="http://localhost:8080"),
TextInput(name="model_name", display_name="Model Name", value="BAAI/bge-large-en-v1.5"),
MessageTextInput(name="api_url", display_name="API URL", advanced=True, value="http://localhost:8080"),
MessageTextInput(name="model_name", display_name="Model Name", value="BAAI/bge-large-en-v1.5"),
]
outputs = [

4
src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py
View file

@ -3,7 +3,7 @@ from pydantic.v1 import SecretStr
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Embeddings
from langflow.io import DropdownInput, IntInput, Output, SecretStrInput, TextInput
from langflow.io import DropdownInput, IntInput, MessageTextInput, Output, SecretStrInput
class MistralAIEmbeddingsComponent(LCModelComponent):
@ -28,7 +28,7 @@ class MistralAIEmbeddingsComponent(LCModelComponent):
),
IntInput(name="max_retries", display_name="Max Retries", advanced=True, value=5),
IntInput(name="timeout", display_name="Request Timeout", advanced=True, value=120),
TextInput(
MessageTextInput(
name="endpoint",
display_name="API Endpoint",
advanced=True,

7
src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py
View file

@ -1,7 +1,8 @@
from langchain_community.embeddings import OllamaEmbeddings
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Embeddings
from langflow.io import FloatInput, Output, TextInput
from langflow.io import FloatInput, MessageTextInput, Output
class OllamaEmbeddingsComponent(LCModelComponent):
@ -11,12 +12,12 @@ class OllamaEmbeddingsComponent(LCModelComponent):
icon = "Ollama"
inputs = [
TextInput(
MessageTextInput(
name="model",
display_name="Ollama Model",
value="llama2",
),
TextInput(
MessageTextInput(
name="base_url",
display_name="Ollama Base URL",
value="http://localhost:11434",

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.embeddings.model import LCEmbeddingsModel
from langflow.field_typing import Embeddings
from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, TextInput
from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, MessageTextInput, SecretStrInput
class OpenAIEmbeddingsComponent(LCEmbeddingsModel):
@ -23,8 +23,8 @@ class OpenAIEmbeddingsComponent(LCEmbeddingsModel):
info="Default query parameters to use for the API request.",
),
IntInput(name="chunk_size", display_name="Chunk Size", advanced=True, value=1000),
TextInput(name="client", display_name="Client", advanced=True),
TextInput(name="deployment", display_name="Deployment", advanced=True),
MessageTextInput(name="client", display_name="Client", advanced=True),
MessageTextInput(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(
@ -42,17 +42,17 @@ class OpenAIEmbeddingsComponent(LCEmbeddingsModel):
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),
TextInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
TextInput(
MessageTextInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
MessageTextInput(
name="openai_organization",
display_name="OpenAI Organization",
advanced=True,
),
TextInput(name="openai_proxy", display_name="OpenAI Proxy", advanced=True),
MessageTextInput(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),
TextInput(
MessageTextInput(
name="tiktoken_model_name",
display_name="TikToken Model Name",
advanced=True,

10
src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py
View file

@ -1,6 +1,6 @@
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Embeddings
from langflow.io import BoolInput, DictInput, FileInput, FloatInput, IntInput, Output, TextInput
from langflow.io import BoolInput, DictInput, FileInput, FloatInput, IntInput, MessageTextInput, Output
class VertexAIEmbeddingsComponent(LCModelComponent):
@ -20,7 +20,7 @@ class VertexAIEmbeddingsComponent(LCModelComponent):
display_name="Instance",
advanced=True,
),
TextInput(
MessageTextInput(
name="location",
display_name="Location",
value="us-central1",
@ -37,7 +37,7 @@ class VertexAIEmbeddingsComponent(LCModelComponent):
value=6,
advanced=True,
),
TextInput(
MessageTextInput(
name="model_name",
display_name="Model Name",
value="textembedding-gecko",
@ -48,7 +48,7 @@ class VertexAIEmbeddingsComponent(LCModelComponent):
value=1,
advanced=True,
),
TextInput(
MessageTextInput(
name="project",
display_name="Project",
advanced=True,
@ -59,7 +59,7 @@ class VertexAIEmbeddingsComponent(LCModelComponent):
value=5,
advanced=True,
),
TextInput(
MessageTextInput(
name="stop",
display_name="Stop",
advanced=True,

6
src/backend/base/langflow/components/experimental/ConditionalRouter.py
View file

@ -1,5 +1,5 @@
from langflow.custom import Component
from langflow.io import BoolInput, DropdownInput, MessageInput, Output, TextInput
from langflow.io import BoolInput, DropdownInput, MessageInput, MessageTextInput, Output
from langflow.schema.message import Message
@ -9,12 +9,12 @@ class ConditionalRouterComponent(Component):
icon = "equal"
inputs = [
TextInput(
MessageTextInput(
name="input_text",
display_name="Input Text",
info="The primary text input for the operation.",
),
TextInput(
MessageTextInput(
name="match_text",
display_name="Match Text",
info="The text input to compare against.",

8
src/backend/base/langflow/components/experimental/SelectivePassThrough.py
View file

@ -1,6 +1,6 @@
from langflow.custom import Component
from langflow.field_typing import Text
from langflow.io import BoolInput, DropdownInput, Output, TextInput
from langflow.io import BoolInput, DropdownInput, MessageTextInput, Output
class SelectivePassThroughComponent(Component):
@ -9,12 +9,12 @@ class SelectivePassThroughComponent(Component):
icon = "filter"
inputs = [
TextInput(
MessageTextInput(
name="input_value",
display_name="Input Value",
info="The primary input value to evaluate.",
),
TextInput(
MessageTextInput(
name="comparison_value",
display_name="Comparison Value",
info="The value to compare against the input value.",
@ -25,7 +25,7 @@ class SelectivePassThroughComponent(Component):
options=["equals", "not equals", "contains", "starts with", "ends with"],
info="Condition to evaluate the input value.",
),
TextInput(
MessageTextInput(
name="value_to_pass",
display_name="Value to Pass",
info="The value to pass if the condition is met.",

5
src/backend/base/langflow/components/experimental/SplitText.py
View file

@ -1,8 +1,9 @@
from typing import List
from langchain_text_splitters import CharacterTextSplitter
from langflow.custom import Component
from langflow.io import HandleInput, IntInput, Output, TextInput
from langflow.io import HandleInput, IntInput, MessageTextInput, Output
from langflow.schema import Data
from langflow.utils.util import unescape_string
@ -32,7 +33,7 @@ class SplitTextComponent(Component):
info="The maximum number of characters in each chunk.",
value=1000,
),
TextInput(
MessageTextInput(
name="separator",
display_name="Separator",
info="The character to split on. Defaults to newline.",

8
src/backend/base/langflow/components/helpers/CombineText.py
View file

@ -1,5 +1,5 @@
from langflow.custom import Component
from langflow.io import Output, TextInput
from langflow.io import MessageTextInput, Output
from langflow.schema.message import Message
@ -9,17 +9,17 @@ class CombineTextComponent(Component):
icon = "merge"
inputs = [
TextInput(
MessageTextInput(
name="text1",
display_name="First Text",
info="The first text input to concatenate.",
),
TextInput(
MessageTextInput(
name="text2",
display_name="Second Text",
info="The second text input to concatenate.",
),
TextInput(
MessageTextInput(
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.io import Output, TextInput
from langflow.io import MessageTextInput, Output
from langflow.schema import Data
@ -11,7 +11,7 @@ class CustomComponent(Component):
icon = "custom_components"
inputs = [
TextInput(name="input_value", display_name="Input Value", value="Hello, World!"),
MessageTextInput(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.io import DataInput, Output, TextInput
from langflow.io import DataInput, MessageTextInput, Output
from langflow.schema import Data
@ -16,7 +16,7 @@ class FilterDataComponent(Component):
display_name="Data",
info="Data object to filter.",
),
TextInput(
MessageTextInput(
name="filter_criteria",
display_name="Filter Criteria",
info="List of keys to filter by.",

6
src/backend/base/langflow/components/helpers/Memory.py
View file

@ -1,6 +1,6 @@
from langflow.custom import Component
from langflow.helpers.data import data_to_text
from langflow.io import DropdownInput, IntInput, MultilineInput, Output, TextInput
from langflow.io import DropdownInput, IntInput, MessageTextInput, MultilineInput, Output
from langflow.memory import get_messages
from langflow.schema import Data
from langflow.schema.message import Message
@ -20,7 +20,7 @@ class MemoryComponent(Component):
info="Type of sender.",
advanced=True,
),
TextInput(
MessageTextInput(
name="sender_name",
display_name="Sender Name",
info="Name of the sender.",
@ -33,7 +33,7 @@ class MemoryComponent(Component):
info="Number of messages to retrieve.",
advanced=True,
),
TextInput(
MessageTextInput(
name="session_id",
display_name="Session ID",
info="Session ID of the chat history.",

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