🔧 refactor(constants.py, conftest.py): improve code structure and readability
🔨 refactor(constants.py): make YourComponent inherit from CustomComponent for better code reuse and structure 🔨 refactor(conftest.py): restructure custom_chain fixture for better readability and maintainability
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2 changed files with 106 additions and 107 deletions
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@ -25,17 +25,19 @@ LANGCHAIN_BASE_TYPES = {
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DEFAULT_CUSTOM_COMPONENT_CODE = """
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from langflow import Prompt
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from langflow.interface.custom.custom_component import CustomComponent
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from langchain.llms.base import BaseLLM
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from langchain.chains import LLMChain
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from langflow.interface.custom import CustomComponent
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from langchain import PromptTemplate
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from langchain.schema import Document
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import requests
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class YourComponent:
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display_name: str = "Your Component"
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description: str = "Your description"
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field_config = { "url": { "multiline": True, "required": True } }
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class YourComponent(CustomComponent):
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#display_name: str = "Your Component"
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#description: str = "Your description"
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#field_config = { "url": { "multiline": True, "required": True } }
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def build(self, url: str, llm: BaseLLM, template: Prompt) -> Document:
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response = requests.get(url)
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@ -44,7 +46,3 @@ class YourComponent:
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result = chain.run(response.text[:300])
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return Document(page_content=str(result))
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"""
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# Create a new class that can be used as a type
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# that returns type "prompt" if we get a certain param
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@ -120,22 +120,22 @@ def client_fixture(session: Session): #
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@pytest.fixture
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def custom_chain():
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return '''from __future__ import annotations
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return '''
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from __future__ import annotations
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from typing import Any, Dict, List, Optional
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from typing import Any, Dict, List, Optional
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from pydantic import Extra
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from pydantic import Extra
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from langchain.schema import BaseLanguageModel, Document
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from langchain.callbacks.manager import (
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from langchain.schema import BaseLanguageModel, Document
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from langchain.callbacks.manager import (
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AsyncCallbackManagerForChainRun,
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CallbackManagerForChainRun,
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)
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from langchain.chains.base import Chain
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from langchain.prompts import StringPromptTemplate
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from langflow.interface.custom.base import CustomComponent
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)
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from langchain.chains.base import Chain
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from langchain.prompts import StringPromptTemplate
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from langflow.interface.custom.base import CustomComponent
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class MyCustomChain(Chain):
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class MyCustomChain(Chain):
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"""
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An example of a custom chain.
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"""
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@ -225,13 +225,14 @@ def custom_chain():
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def _chain_type(self) -> str:
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return "my_custom_chain"
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class CustomChain(CustomComponent):
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class CustomChain(CustomComponent):
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display_name: str = "Custom Chain"
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field_config = {
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"prompt": {"field_type": "prompt"},
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"llm": {"field_type": "BaseLanguageModel"},
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}
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def build(self, prompt, llm, input: str) -> Document:
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def build(self, prompt: StringPromptTemplate, llm: BaseLanguageModel, input: str) -> Document:
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chain = MyCustomChain(prompt=prompt, llm=llm)
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return chain(input)'''
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return chain(input)
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'''
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