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Add custom component and output parser creators to graph constants

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This commit is contained in:
Gabriel Luiz Freitas Almeida 2024-01-25 17:15:12 -03:00
commit e8fded882e
1 changed files with 7 additions and 8 deletions
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15
src/backend/langflow/graph/graph/constants.py
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@ -1,22 +1,21 @@
from langflow.graph.vertex import types from langflow.graph.vertex import types
from langflow.interface.agents.base import agent_creator from langflow.interface.agents.base import agent_creator
from langflow.interface.chains.base import chain_creator from langflow.interface.chains.base import chain_creator
from langflow.interface.custom.base import custom_component_creator
from langflow.interface.document_loaders.base import documentloader_creator from langflow.interface.document_loaders.base import documentloader_creator
from langflow.interface.embeddings.base import embedding_creator from langflow.interface.embeddings.base import embedding_creator
from langflow.interface.llms.base import llm_creator from langflow.interface.llms.base import llm_creator
from langflow.interface.memories.base import memory_creator from langflow.interface.memories.base import memory_creator
from langflow.interface.output_parsers.base import output_parser_creator
from langflow.interface.prompts.base import prompt_creator from langflow.interface.prompts.base import prompt_creator
from langflow.interface.retrievers.base import retriever_creator
from langflow.interface.text_splitters.base import textsplitter_creator from langflow.interface.text_splitters.base import textsplitter_creator
from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.toolkits.base import toolkits_creator
from langflow.interface.tools.base import tool_creator from langflow.interface.tools.base import tool_creator
from langflow.interface.vector_store.base import vectorstore_creator from langflow.interface.vector_store.base import vectorstore_creator
from langflow.interface.wrappers.base import wrapper_creator from langflow.interface.wrappers.base import wrapper_creator
from langflow.interface.output_parsers.base import output_parser_creator
from langflow.interface.retrievers.base import retriever_creator
from langflow.interface.custom.base import custom_component_creator
from langflow.utils.lazy_load import LazyLoadDictBase from langflow.utils.lazy_load import LazyLoadDictBase
chat_components = ["ChatInput", "ChatOutput", "TextInput", "SessionID"] chat_components = ["ChatInput", "ChatOutput", "TextInput", "SessionID"]
@ -50,13 +49,13 @@ class VertexTypesDict(LazyLoadDictBase):
**{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()}, **{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()},
**{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()}, **{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()},
**{t: types.OutputParserVertex for t in output_parser_creator.to_list()}, **{t: types.OutputParserVertex for t in output_parser_creator.to_list()},
**{ **{t: types.CustomComponentVertex for t in custom_component_creator.to_list()},
t: types.CustomComponentVertex
for t in custom_component_creator.to_list()
},
**{t: types.RetrieverVertex for t in retriever_creator.to_list()}, **{t: types.RetrieverVertex for t in retriever_creator.to_list()},
**{t: types.ChatVertex for t in chat_components}, **{t: types.ChatVertex for t in chat_components},
} }
def get_custom_component_vertex_type(self):
return types.CustomComponentVertex
lazy_load_vertex_dict = VertexTypesDict() lazy_load_vertex_dict = VertexTypesDict()