🔥 refactor(conftest.py): remove unused fixtures and custom chain classes
The following changes were made: - Removed the `custom_chain` fixture and the `MyCustomChain` and `CustomChain` classes as they were not being used. - Removed the `data_processing`, `filter_docs`, `get_request`, and `post_request` fixtures as they were not being used. 🔧 fix(test_agents_template.py): set "dynamic" property to False for all template variables to ensure consistency and improve clarity 🐛 fix(test_chains_template.py): add missing "dynamic" field to template dictionaries to ensure consistency and avoid potential bugs 🔧 fix(test_custom_component.py): fix import statements and remove unused imports to improve code readability and maintainability ✨ feat(test_custom_component.py): add tests for the initialization of the CodeParser, Component, and CustomComponent classes 🔧 fix(test_custom_component.py): fix test names and add missing test cases for the Component and CustomComponent classes 🔨 refactor: refactor server.ts to use uppercase PORT variable for improved semantics ✨ feat: add support for process.env.PORT environment variable to run app on configurable port 🔨 refactor: refactor CustomComponent tests for improved readability and maintainability 🔨 refactor: refactor CodeParser tests for improved readability and maintainability 🔨 refactor: refactor Component tests for improved readability and maintainability 🐛 fix: fix CustomComponent class template validation to raise HTTPException when code is None 🔧 fix(tests): fix syntax error in custom_component._class_template_validation ✨ feat(tests): add test_custom_component_get_code_tree_syntax_error to test CustomComponent.get_code_tree method for raising CodeSyntaxError when given incorrect syntax ✨ feat(tests): add test_custom_component_get_function_entrypoint_args_no_args to test CustomComponent.get_function_entrypoint_args property with a build method with no arguments ✨ feat(tests): add test_custom_component_get_function_entrypoint_return_type_no_return_type to test CustomComponent.get_function_entrypoint_return_type property with a build method with no return type ✨ feat(tests): add test_custom_component_get_main_class_name_no_main_class to test CustomComponent.get_main_class_name property when there is no main class ✨ feat(tests): add test_custom_component_build_not_implemented to test CustomComponent.build method for raising NotImplementedError ✨ feat(tests): add fixtures for custom_chain, data_processing, filter_docs, and get_request 🔧 fix(tests): remove commented out code and unused imports to improve code readability and maintainability 🐛 fix(test_llms_template.py): set "dynamic" property to False for all template properties to ensure static values are used 🐛 fix(test_prompts_template.py): set "dynamic" property to False for all template properties to ensure consistency and improve readability
This commit is contained in:
parent
9788ca6c2e
commit
11f7846e0a
7 changed files with 943 additions and 394 deletions
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@ -116,254 +116,3 @@ def client_fixture(session: Session):
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yield TestClient(app)
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app.dependency_overrides.clear()
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@pytest.fixture
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def custom_chain():
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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 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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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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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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from typing import Any, Dict, List, Optional
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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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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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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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prompt: StringPromptTemplate
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"""Prompt object to use."""
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llm: BaseLanguageModel
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output_key: str = "text" #: :meta private:
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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arbitrary_types_allowed = True
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@property
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def input_keys(self) -> List[str]:
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"""Will be whatever keys the prompt expects.
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:meta private:
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"""
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return self.prompt.input_variables
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@property
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def output_keys(self) -> List[str]:
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"""Will always return text key.
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:meta private:
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"""
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return [self.output_key]
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def _call(
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self,
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inputs: Dict[str, Any],
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run_manager: Optional[CallbackManagerForChainRun] = None,
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) -> Dict[str, str]:
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# Your custom chain logic goes here
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# This is just an example that mimics LLMChain
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prompt_value = self.prompt.format_prompt(**inputs)
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# Whenever you call a language model, or another chain, you should pass
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# a callback manager to it. This allows the inner run to be tracked by
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# any callbacks that are registered on the outer run.
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# You can always obtain a callback manager for this by calling
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# `run_manager.get_child()` as shown below.
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response = self.llm.generate_prompt(
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[prompt_value],
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callbacks=run_manager.get_child() if run_manager else None,
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)
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# If you want to log something about this run, you can do so by calling
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# methods on the `run_manager`, as shown below. This will trigger any
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# callbacks that are registered for that event.
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if run_manager:
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run_manager.on_text("Log something about this run")
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return {self.output_key: response.generations[0][0].text}
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async def _acall(
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self,
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inputs: Dict[str, Any],
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run_manager: Optional[AsyncCallbackManagerForChainRun] = None,
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) -> Dict[str, str]:
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# Your custom chain logic goes here
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# This is just an example that mimics LLMChain
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prompt_value = self.prompt.format_prompt(**inputs)
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# Whenever you call a language model, or another chain, you should pass
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# a callback manager to it. This allows the inner run to be tracked by
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# any callbacks that are registered on the outer run.
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# You can always obtain a callback manager for this by calling
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# `run_manager.get_child()` as shown below.
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response = await self.llm.agenerate_prompt(
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[prompt_value],
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callbacks=run_manager.get_child() if run_manager else None,
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)
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# If you want to log something about this run, you can do so by calling
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# methods on the `run_manager`, as shown below. This will trigger any
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# callbacks that are registered for that event.
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if run_manager:
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await run_manager.on_text("Log something about this run")
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return {self.output_key: response.generations[0][0].text}
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@property
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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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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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chain = MyCustomChain(prompt=prompt, llm=llm)
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return chain(input)
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'''
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@pytest.fixture
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def data_processing():
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return """
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import pandas as pd
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from langchain.schema import Document
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from langflow.interface.custom.base import CustomComponent
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class CSVLoaderComponent(CustomComponent):
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display_name: str = "CSV Loader"
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field_config = {
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"filename": {"field_type": "str", "required": True},
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"column_name": {"field_type": "str", "required": True},
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}
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def build(self, filename: str, column_name: str) -> Document:
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# Load the CSV file
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df = pd.read_csv(filename)
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# Verify the column exists
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if column_name not in df.columns:
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raise ValueError(f"Column '{column_name}' not found in the CSV file")
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# Convert each row of the specified column to a document object
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documents = []
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for content in df[column_name]:
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metadata = {"filename": filename}
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documents.append(Document(page_content=str(content), metadata=metadata))
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return documents
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"""
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@pytest.fixture
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def filter_docs():
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return """
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from langchain.schema import Document
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from langflow.interface.custom.base import CustomComponent
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from typing import List
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class DocumentFilterByLengthComponent(CustomComponent):
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display_name: str = "Document Filter By Length"
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field_config = {
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"documents": {"field_type": "Document", "required": True},
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"max_length": {"field_type": "int", "required": True},
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}
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def build(self, documents: List[Document], max_length: int) -> List[Document]:
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# Filter the documents by length
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filtered_documents = [doc for doc in documents if len(doc.page_content) <= max_length]
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return filtered_documents
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"""
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@pytest.fixture
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def get_request():
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return """
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import requests
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from typing import Dict, Union
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from langchain.schema import Document
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from langflow.interface.custom.base import CustomComponent
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class GetRequestComponent(CustomComponent):
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display_name: str = "GET Request"
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field_config = {
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"url": {"field_type": "str", "required": True},
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}
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def build(self, url: str) -> Document:
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# Send a GET request to the URL
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response = requests.get(url)
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# Raise an exception if the request was not successful
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if response.status_code != 200:
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raise ValueError(f"GET request failed: {response.status_code} status code")
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# Create a document with the response text and the URL as metadata
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document = Document(page_content=response.text, metadata={"url": url})
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return document
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"""
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@pytest.fixture
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def post_request():
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return """
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import requests
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from typing import Dict, Union
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from langchain.schema import Document
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from langflow.interface.custom.base import CustomComponent
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class PostRequestComponent(CustomComponent):
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display_name: str = "POST Request"
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field_config = {
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"url": {"field_type": "str", "required": True},
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"data": {"field_type": "dict", "required": True},
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}
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def build(self, url: str, data: Dict[str, Union[str, int]]) -> Document:
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# Send a POST request to the URL
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response = requests.post(url, data=data)
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# Raise an exception if the request was not successful
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if response.status_code != 200:
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raise ValueError(f"POST request failed: {response.status_code} status code")
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# Create a document with the response text and the URL and data as metadata
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document = Document(page_content=response.text, metadata={"url": url, "data": data})
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return document
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"""
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@ -18,6 +18,7 @@ def test_zero_shot_agent(client: TestClient):
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assert template["tools"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -32,6 +33,7 @@ def test_zero_shot_agent(client: TestClient):
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# Additional assertions for other template variables
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assert template["callback_manager"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": False,
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"multiline": False,
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@ -44,6 +46,7 @@ def test_zero_shot_agent(client: TestClient):
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}
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assert template["llm"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -56,6 +59,7 @@ def test_zero_shot_agent(client: TestClient):
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}
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assert template["output_parser"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": False,
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"multiline": False,
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@ -68,6 +72,7 @@ def test_zero_shot_agent(client: TestClient):
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}
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assert template["input_variables"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": False,
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"multiline": False,
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@ -80,6 +85,7 @@ def test_zero_shot_agent(client: TestClient):
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}
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assert template["prefix"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": True,
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@ -93,6 +99,7 @@ def test_zero_shot_agent(client: TestClient):
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}
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assert template["suffix"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": True,
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@ -118,6 +125,7 @@ def test_json_agent(client: TestClient):
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assert template["toolkit"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -130,6 +138,7 @@ def test_json_agent(client: TestClient):
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}
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assert template["llm"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -155,12 +164,12 @@ def test_csv_agent(client: TestClient):
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assert template["path"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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"value": "",
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"suffixes": [".csv"],
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"fileTypes": ["csv"],
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"password": False,
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"name": "path",
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"type": "file",
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@ -171,6 +180,7 @@ def test_csv_agent(client: TestClient):
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}
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assert template["llm"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -196,6 +206,7 @@ def test_initialize_agent(client: TestClient):
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assert template["agent"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -217,6 +228,7 @@ def test_initialize_agent(client: TestClient):
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}
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assert template["memory"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -229,6 +241,7 @@ def test_initialize_agent(client: TestClient):
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}
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assert template["tools"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -241,6 +254,7 @@ def test_initialize_agent(client: TestClient):
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}
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assert template["llm"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -29,6 +29,7 @@ def test_conversation_chain(client: TestClient):
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template = chain["template"]
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assert template["memory"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -41,6 +42,7 @@ def test_conversation_chain(client: TestClient):
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}
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assert template["verbose"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": False,
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"multiline": False,
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@ -53,6 +55,7 @@ def test_conversation_chain(client: TestClient):
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}
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assert template["llm"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -65,6 +68,7 @@ def test_conversation_chain(client: TestClient):
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}
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assert template["input_key"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -78,6 +82,7 @@ def test_conversation_chain(client: TestClient):
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}
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assert template["output_key"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -115,6 +120,7 @@ def test_llm_chain(client: TestClient):
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template = chain["template"]
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assert template["memory"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -127,6 +133,7 @@ def test_llm_chain(client: TestClient):
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}
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assert template["verbose"] == {
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"required": False,
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"dynamic": False,
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"placeholder": "",
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"show": False,
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"multiline": False,
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@ -140,6 +147,7 @@ def test_llm_chain(client: TestClient):
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}
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assert template["llm"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -152,6 +160,7 @@ def test_llm_chain(client: TestClient):
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}
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assert template["output_key"] == {
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"required": True,
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"dynamic": False,
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"placeholder": "",
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"show": True,
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"multiline": False,
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@ -182,6 +191,7 @@ def test_llm_checker_chain(client: TestClient):
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template = chain["template"]
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assert template["llm"] == {
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"required": True,
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||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -215,6 +225,7 @@ def test_llm_math_chain(client: TestClient):
|
|||
template = chain["template"]
|
||||
assert template["memory"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -227,6 +238,7 @@ def test_llm_math_chain(client: TestClient):
|
|||
}
|
||||
assert template["verbose"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -240,6 +252,7 @@ def test_llm_math_chain(client: TestClient):
|
|||
}
|
||||
assert template["llm"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -252,6 +265,7 @@ def test_llm_math_chain(client: TestClient):
|
|||
}
|
||||
assert template["input_key"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -265,6 +279,7 @@ def test_llm_math_chain(client: TestClient):
|
|||
}
|
||||
assert template["output_key"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -306,6 +321,7 @@ def test_series_character_chain(client: TestClient):
|
|||
|
||||
assert template["llm"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"display_name": "LLM",
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
|
|
@ -319,6 +335,7 @@ def test_series_character_chain(client: TestClient):
|
|||
}
|
||||
assert template["character"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -331,6 +348,7 @@ def test_series_character_chain(client: TestClient):
|
|||
}
|
||||
assert template["series"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -372,6 +390,7 @@ def test_mid_journey_prompt_chain(client: TestClient):
|
|||
|
||||
assert template["llm"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"display_name": "LLM",
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
|
|
@ -412,6 +431,7 @@ def test_time_travel_guide_chain(client: TestClient):
|
|||
|
||||
assert template["llm"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"display_name": "LLM",
|
||||
"show": True,
|
||||
|
|
@ -425,6 +445,7 @@ def test_time_travel_guide_chain(client: TestClient):
|
|||
}
|
||||
assert template["memory"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
|
|||
|
|
@ -35,6 +35,7 @@ def test_lang_chain_type_creator_to_dict(
|
|||
sample_lang_chain_type_creator: LangChainTypeCreator,
|
||||
):
|
||||
type_dict = sample_lang_chain_type_creator.to_dict()
|
||||
|
||||
assert len(type_dict) == 1
|
||||
assert "test_type" in type_dict
|
||||
assert "node1" in type_dict["test_type"]
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load diff
|
|
@ -113,6 +113,7 @@ def test_openai(client: TestClient):
|
|||
|
||||
assert template["cache"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -125,6 +126,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["verbose"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -137,6 +139,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["client"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -149,6 +152,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["model_name"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -170,6 +174,7 @@ def test_openai(client: TestClient):
|
|||
# Add more assertions for other properties here
|
||||
assert template["temperature"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -183,6 +188,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["max_tokens"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -196,6 +202,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["top_p"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -209,6 +216,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["frequency_penalty"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -222,6 +230,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["presence_penalty"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -235,6 +244,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["n"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -248,6 +258,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["best_of"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -261,6 +272,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["model_kwargs"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -273,6 +285,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["openai_api_key"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -287,6 +300,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["batch_size"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -300,6 +314,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["request_timeout"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -312,6 +327,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["logit_bias"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -324,6 +340,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["max_retries"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -337,6 +354,7 @@ def test_openai(client: TestClient):
|
|||
}
|
||||
assert template["streaming"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -361,6 +379,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
|
||||
assert template["verbose"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -374,6 +393,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
}
|
||||
assert template["client"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -386,6 +406,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
}
|
||||
assert template["model_name"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -409,6 +430,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
}
|
||||
assert template["temperature"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -422,6 +444,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
}
|
||||
assert template["model_kwargs"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -434,6 +457,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
}
|
||||
assert template["openai_api_key"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
@ -448,6 +472,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
}
|
||||
assert template["request_timeout"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -460,6 +485,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
}
|
||||
assert template["max_retries"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -473,6 +499,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
}
|
||||
assert template["streaming"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -486,6 +513,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
}
|
||||
assert template["n"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -500,6 +528,7 @@ def test_chat_open_ai(client: TestClient):
|
|||
|
||||
assert template["max_tokens"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": False,
|
||||
|
|
|
|||
|
|
@ -20,6 +20,7 @@ def test_prompt_template(client: TestClient):
|
|||
template = prompt["template"]
|
||||
assert template["input_variables"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -30,8 +31,10 @@ def test_prompt_template(client: TestClient):
|
|||
"advanced": False,
|
||||
"info": "",
|
||||
}
|
||||
|
||||
assert template["output_parser"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -42,8 +45,10 @@ def test_prompt_template(client: TestClient):
|
|||
"advanced": False,
|
||||
"info": "",
|
||||
}
|
||||
|
||||
assert template["partial_variables"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -54,8 +59,10 @@ def test_prompt_template(client: TestClient):
|
|||
"advanced": False,
|
||||
"info": "",
|
||||
}
|
||||
|
||||
assert template["template"] == {
|
||||
"required": True,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": True,
|
||||
"multiline": True,
|
||||
|
|
@ -66,8 +73,10 @@ def test_prompt_template(client: TestClient):
|
|||
"advanced": False,
|
||||
"info": "",
|
||||
}
|
||||
|
||||
assert template["template_format"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
@ -79,8 +88,10 @@ def test_prompt_template(client: TestClient):
|
|||
"advanced": False,
|
||||
"info": "",
|
||||
}
|
||||
|
||||
assert template["validate_template"] == {
|
||||
"required": False,
|
||||
"dynamic": False,
|
||||
"placeholder": "",
|
||||
"show": False,
|
||||
"multiline": False,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue