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refactor: move tests folder structure and update pytest commands (#2785)

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* refactor: move tests folder to src/backend

* chore(Makefile): update pytest commands to run tests from the correct directory paths for unit and integration tests

* refactor: update file path in test_custom_component.py

The file path in the test_custom_component.py file has been updated to use the correct relative path to the component_multiple_outputs.py file. This change ensures that the test code can access the correct file and improves the reliability of the test.
This commit is contained in:
Gabriel Luiz Freitas Almeida 2024-07-18 12:19:43 -03:00 • committed by GitHub
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56 changed files with 5 additions and 5 deletions
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1
src/backend/tests/data/BasicChatwithPromptandHistory.json Normal file
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918
src/backend/tests/data/ChatInputTest.json Normal file
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"id": "ChatInput-207IY",
"type": "genericNode",
"position": {
"x": 415.1018926651509,
"y": 506.62736462360317
},
"data": {
"type": "ChatInput",
"node": {
"template": {
"code": {
"dynamic": true,
"required": true,
"placeholder": "",
"show": false,
"multiline": true,
"value": "from typing import Optional\nfrom langflow.custom import CustomComponent\n\n\nclass ChatInput(CustomComponent):\n display_name = \"Chat Input\"\n\n def build(self, message: Optional[str] = \"\") -> str:\n return message\n",
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"display_name": "message",
"advanced": false,
"dynamic": false,
"info": "",
"type": "str",
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}
},
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"base_classes": [
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],
"display_name": "Chat Input",
"custom_fields": {
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},
"output_types": [
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"value": "{'Authorization':\n 'Bearer <token>'}",
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},
"aiosession": {
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"_type": "TextRequestsWrapper"
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],
"password": false,
"name": "path",
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"file_path": "api-with-examples.yaml"
},
"max_value_length": {
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{
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"type": "genericNode",
"position": {
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"data": {
"type": "ChatOpenAI",
"node": {
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"model_name": {
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"value": "gpt-3.5-turbo",
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},
"model_kwargs": {
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"openai_api_key": {
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},
"max_retries": {
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"prefix_messages": {
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},
"streaming": {
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"name": "streaming",
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},
"_type": "ChatOpenAI"
},
"description": "Wrapper around OpenAI Chat large language models.To use, you should have the ``openai`` python package installed, and theenvironment variable ``OPENAI_API_KEY`` set with your API key.Any parameters that are valid to be passed to the openai.create call can be passedin, even if not explicitly saved on this class.",
"base_classes": [
"BaseLanguageModel",
"BaseLLM"
]
},
"id": "dndnode_36",
"value": null
},
"selected": false,
"dragging": false,
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}
}
],
"edges": [
{
"source": "dndnode_19",
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"target": "dndnode_33",
"targetHandle": "BaseToolkit|toolkit|dndnode_33",
"className": "animate-pulse",
"id": "reactflow__edge-dndnode_19JsonToolkit|dndnode_19|BaseToolkit-dndnode_33BaseToolkit|toolkit|dndnode_33",
"selected": false
},
{
"source": "dndnode_33",
"sourceHandle": "JsonAgent|dndnode_33|AgentExecutor",
"target": "dndnode_32",
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"className": "animate-pulse",
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},
{
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},
{
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{
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"className": "animate-pulse",
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],
"viewport": {
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},
"chat": [
{
"message": "test",
"isSend": true
}
]
}

567
src/backend/tests/data/SimpleAPITest.json Normal file
View file

@ -0,0 +1,567 @@
{
"id": "e9380216-9300-41a1-bc35-7ee92fe4b30d",
"data": {
"nodes": [
{
"id": "ChatInput-irFJf",
"type": "genericNode",
"position": {
"x": 180,
"y": 200.296875
},
"data": {
"type": "ChatInput",
"node": {
"template": {
"_type": "Component",
"files": {
"trace_as_metadata": true,
"file_path": "",
"fileTypes": [
"txt",
"md",
"mdx",
"csv",
"json",
"yaml",
"yml",
"xml",
"html",
"htm",
"pdf",
"docx",
"py",
"sh",
"sql",
"js",
"ts",
"tsx",
"jpg",
"jpeg",
"png",
"bmp",
"image"
],
"list": true,
"required": false,
"placeholder": "",
"show": true,
"value": "",
"name": "files",
"display_name": "Files",
"advanced": true,
"dynamic": false,
"info": "Files to be sent with the message.",
"title_case": false,
"type": "file"
},
"code": {
"type": "code",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n BoolInput(\n name=\"store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
"advanced": true,
"dynamic": true,
"info": "",
"load_from_db": false,
"title_case": false
},
"input_value": {
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"multiline": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "",
"name": "input_value",
"display_name": "Text",
"advanced": false,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Message to be passed as input.",
"title_case": false,
"type": "str"
},
"sender": {
"trace_as_metadata": true,
"options": [
"Machine",
"User"
],
"required": false,
"placeholder": "",
"show": true,
"value": "User",
"name": "sender",
"display_name": "Sender Type",
"advanced": true,
"dynamic": false,
"info": "Type of sender.",
"title_case": false,
"type": "str"
},
"sender_name": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "User",
"name": "sender_name",
"display_name": "Sender Name",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Name of the sender.",
"title_case": false,
"type": "str"
},
"session_id": {
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"trace_as_metadata": true,
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"name": "session_id",
"display_name": "Session ID",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Session ID for the message.",
"title_case": false,
"type": "str"
},
"store_message": {
"trace_as_metadata": true,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": true,
"name": "store_message",
"display_name": "Store Messages",
"advanced": true,
"dynamic": false,
"info": "Store the message in the history.",
"title_case": false,
"type": "bool"
}
},
"description": "Get chat inputs from the Playground.",
"icon": "ChatInput",
"base_classes": [
"Message"
],
"display_name": "Chat Input",
"documentation": "",
"custom_fields": {},
"output_types": [],
"pinned": false,
"conditional_paths": [],
"frozen": false,
"outputs": [
{
"types": [
"Message"
],
"selected": "Message",
"name": "message",
"display_name": "Message",
"method": "message_response",
"value": "__UNDEFINED__",
"cache": true
}
],
"field_order": [
"input_value",
"store_message",
"sender",
"sender_name",
"session_id",
"files"
],
"beta": false,
"edited": false
},
"id": "ChatInput-irFJf",
"description": "Get chat inputs from the Playground.",
"display_name": "Chat Input"
},
"selected": false,
"width": 384,
"height": 309
},
{
"id": "TextInput-tcoZg",
"type": "genericNode",
"position": {
"x": 186,
"y": 549.296875
},
"data": {
"type": "TextInput",
"node": {
"template": {
"_type": "Component",
"code": {
"type": "code",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "from langflow.base.io.text import TextComponent\nfrom langflow.io import MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass TextInputComponent(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n name = \"TextInput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Text to be passed as input.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n ]\n\n def text_response(self) -> Message:\n message = Message(\n text=self.input_value,\n )\n return message\n",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
"advanced": true,
"dynamic": true,
"info": "",
"load_from_db": false,
"title_case": false
},
"input_value": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "AI",
"name": "input_value",
"display_name": "Text",
"advanced": false,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Text to be passed as input.",
"title_case": false,
"type": "str"
}
},
"description": "Get text inputs from the Playground.",
"icon": "type",
"base_classes": [
"Message"
],
"display_name": "Text Input",
"documentation": "",
"custom_fields": {},
"output_types": [],
"pinned": false,
"conditional_paths": [],
"frozen": false,
"outputs": [
{
"types": [
"Message"
],
"selected": "Message",
"name": "text",
"display_name": "Text",
"method": "text_response",
"value": "__UNDEFINED__",
"cache": true
}
],
"field_order": [
"input_value"
],
"beta": false,
"edited": false
},
"id": "TextInput-tcoZg"
},
"selected": true,
"width": 384,
"height": 309,
"positionAbsolute": {
"x": 186,
"y": 549.296875
},
"dragging": false
},
{
"id": "ChatOutput-dJRst",
"type": "genericNode",
"position": {
"x": 820,
"y": 224.296875
},
"data": {
"type": "ChatOutput",
"node": {
"template": {
"_type": "Component",
"code": {
"type": "code",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.inputs import BoolInput\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.memory import store_message\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n BoolInput(\n name=\"store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n store_message(\n message,\n flow_id=self.graph.flow_id,\n )\n self.message.value = message\n\n self.status = message\n return message\n",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
"advanced": true,
"dynamic": true,
"info": "",
"load_from_db": false,
"title_case": false
},
"data_template": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "{text}",
"name": "data_template",
"display_name": "Data Template",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
"title_case": false,
"type": "str"
},
"input_value": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "",
"name": "input_value",
"display_name": "Text",
"advanced": false,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Message to be passed as output.",
"title_case": false,
"type": "str"
},
"sender": {
"trace_as_metadata": true,
"options": [
"Machine",
"User"
],
"required": false,
"placeholder": "",
"show": true,
"value": "Machine",
"name": "sender",
"display_name": "Sender Type",
"advanced": true,
"dynamic": false,
"info": "Type of sender.",
"title_case": false,
"type": "str"
},
"sender_name": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "",
"name": "sender_name",
"display_name": "Sender Name",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Name of the sender.",
"title_case": false,
"type": "str"
},
"session_id": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "",
"name": "session_id",
"display_name": "Session ID",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Session ID for the message.",
"title_case": false,
"type": "str"
},
"store_message": {
"trace_as_metadata": true,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": true,
"name": "store_message",
"display_name": "Store Messages",
"advanced": true,
"dynamic": false,
"info": "Store the message in the history.",
"title_case": false,
"type": "bool"
}
},
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"Message"
],
"display_name": "Chat Output",
"documentation": "",
"custom_fields": {},
"output_types": [],
"pinned": false,
"conditional_paths": [],
"frozen": false,
"outputs": [
{
"types": [
"Message"
],
"selected": "Message",
"name": "message",
"display_name": "Message",
"method": "message_response",
"value": "__UNDEFINED__",
"cache": true
}
],
"field_order": [
"input_value",
"store_message",
"sender",
"sender_name",
"session_id",
"data_template"
],
"beta": false,
"edited": false
},
"id": "ChatOutput-dJRst",
"description": "Display a chat message in the Playground.",
"display_name": "Chat Output"
},
"selected": false,
"width": 384,
"height": 403,
"positionAbsolute": {
"x": 820,
"y": 224.296875
},
"dragging": false
}
],
"edges": [
{
"source": "ChatInput-irFJf",
"sourceHandle": "{œdataTypeœ:œChatInputœ,œidœ:œChatInput-irFJfœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}",
"target": "ChatOutput-dJRst",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-dJRstœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-dJRst",
"inputTypes": [
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"type": "str"
},
"sourceHandle": {
"dataType": "ChatInput",
"id": "ChatInput-irFJf",
"name": "message",
"output_types": [
"Message"
]
}
},
"id": "reactflow__edge-ChatInput-irFJf{œdataTypeœ:œChatInputœ,œidœ:œChatInput-irFJfœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-dJRst{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-dJRstœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"className": ""
},
{
"source": "TextInput-tcoZg",
"sourceHandle": "{œdataTypeœ:œTextInputœ,œidœ:œTextInput-tcoZgœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}",
"target": "ChatOutput-dJRst",
"targetHandle": "{œfieldNameœ:œsender_nameœ,œidœ:œChatOutput-dJRstœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "sender_name",
"id": "ChatOutput-dJRst",
"inputTypes": [
"Message"
],
"type": "str"
},
"sourceHandle": {
"dataType": "TextInput",
"id": "TextInput-tcoZg",
"name": "text",
"output_types": [
"Message"
]
}
},
"id": "reactflow__edge-TextInput-tcoZg{œdataTypeœ:œTextInputœ,œidœ:œTextInput-tcoZgœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-dJRst{œfieldNameœ:œsender_nameœ,œidœ:œChatOutput-dJRstœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"className": ""
}
],
"viewport": {
"x": -117,
"y": -69,
"zoom": 1
}
},
"description": "Nurture NLP Nodes Here.",
"name": "Simple API Test",
"last_tested_version": "1.0.9",
"endpoint_name": null,
"is_component": false
}

1024
src/backend/tests/data/TwoOutputsTest.json Normal file
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749
src/backend/tests/data/WebhookTest.json Normal file
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@ -0,0 +1,749 @@
{
"id": "b00c375e-c858-42b5-a352-561d3f40bd15",
"data": {
"nodes": [
{
"id": "CustomComponent-aF0h1",
"type": "genericNode",
"position": {
"x": 888.0012384532345,
"y": 272.41352212880344
},
"data": {
"type": "CustomComponent",
"node": {
"template": {
"_type": "Component",
"code": {
"type": "code",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "# from langflow.field_typing import Data\nfrom langflow.custom import Component\nfrom langflow.io import StrInput\nfrom langflow.schema import Data\nfrom langflow.io import Output\nfrom pathlib import Path\nimport aiofiles\n\nclass CustomComponent(Component):\n display_name = \"Async Component\"\n description = \"Use as a template to create your own component.\"\n documentation: str = \"http://docs.langflow.org/components/custom\"\n icon = \"custom_components\"\n\n inputs = [\n StrInput(name=\"input_value\", display_name=\"Input Value\", value=\"Hello, World!\", input_types=[\"Data\"]),\n ]\n\n outputs = [\n Output(display_name=\"Output\", name=\"output\", method=\"build_output\"),\n ]\n\n async def build_output(self) -> Data:\n if isinstance(self.input_value, Data):\n data = self.input_value\n else:\n data = Data(value=self.input_value)\n \n if \"path\" in data:\n path = self.resolve_path(data.path)\n path_obj = Path(path)\n async with aiofiles.open(path, \"w\") as f:\n await f.write(data.model_dump())\n \n self.status = data\n return data",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
"advanced": true,
"dynamic": true,
"info": "",
"load_from_db": false,
"title_case": false
},
"input_value": {
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "Hello, World!",
"name": "input_value",
"display_name": "Input Value",
"advanced": false,
"input_types": [
"Data"
],
"dynamic": false,
"info": "",
"title_case": false,
"type": "str"
}
},
"description": "Use as a template to create your own component.",
"icon": "custom_components",
"base_classes": [
"Data"
],
"display_name": "Custom Component",
"documentation": "http://docs.langflow.org/components/custom",
"custom_fields": {},
"output_types": [],
"pinned": false,
"conditional_paths": [],
"frozen": false,
"outputs": [
{
"types": [
"Data"
],
"selected": "Data",
"name": "output",
"display_name": "Output",
"method": "build_output",
"value": "__UNDEFINED__",
"cache": true,
"hidden": false
}
],
"field_order": [
"input_value"
],
"beta": false,
"edited": false
},
"id": "CustomComponent-aF0h1",
"description": "Use as a template to create your own component.",
"display_name": "Custom Component"
},
"selected": false,
"width": 384,
"height": 337,
"positionAbsolute": {
"x": 888.0012384532345,
"y": 272.41352212880344
},
"dragging": false
},
{
"id": "Webhook-BeRcd",
"type": "genericNode",
"position": {
"x": 418,
"y": 270.2890625
},
"data": {
"type": "Webhook",
"node": {
"template": {
"_type": "Component",
"code": {
"type": "code",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "import json\n\nfrom langflow.custom import Component\nfrom langflow.io import MultilineInput, Output\nfrom langflow.schema import Data\n\n\nclass WebhookComponent(Component):\n display_name = \"Webhook Input\"\n description = \"Defines a webhook input for the flow.\"\n name = \"Webhook\"\n\n inputs = [\n MultilineInput(\n name=\"data\",\n display_name=\"Data\",\n info=\"Use this field to quickly test the webhook component by providing a JSON payload.\",\n )\n ]\n outputs = [\n Output(display_name=\"Data\", name=\"output_data\", method=\"build_data\"),\n ]\n\n def build_data(self) -> Data:\n message: str | Data = \"\"\n if not self.data:\n self.status = \"No data provided.\"\n return Data(data={})\n try:\n body = json.loads(self.data or \"{}\")\n except json.JSONDecodeError:\n body = {\"payload\": self.data}\n message = f\"Invalid JSON payload. Please check the format.\\n\\n{self.data}\"\n data = Data(data=body)\n if not message:\n message = data\n self.status = message\n return data\n",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
"advanced": true,
"dynamic": true,
"info": "",
"load_from_db": false,
"title_case": false
},
"data": {
"trace_as_input": true,
"multiline": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "{\"test\":1}",
"name": "data",
"display_name": "Data",
"advanced": false,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Use this field to quickly test the webhook component by providing a JSON payload.",
"title_case": false,
"type": "str"
}
},
"description": "Defines a webhook input for the flow.",
"base_classes": [
"Data"
],
"display_name": "Webhook Input",
"documentation": "",
"custom_fields": {},
"output_types": [],
"pinned": false,
"conditional_paths": [],
"frozen": false,
"outputs": [
{
"types": [
"Data"
],
"selected": "Data",
"name": "output_data",
"display_name": "Data",
"method": "build_data",
"value": "__UNDEFINED__",
"cache": true,
"hidden": false
}
],
"field_order": [
"data"
],
"beta": false,
"edited": false
},
"id": "Webhook-BeRcd",
"description": "Defines a webhook input for the flow.",
"display_name": "Webhook Input"
},
"selected": false,
"width": 384,
"height": 309,
"dragging": true,
"positionAbsolute": {
"x": 418,
"y": 270.2890625
}
},
{
"id": "ChatInput-QivBB",
"type": "genericNode",
"position": {
"x": 419.7235078147726,
"y": 646.9863203129902
},
"data": {
"type": "ChatInput",
"node": {
"template": {
"_type": "Component",
"files": {
"trace_as_metadata": true,
"file_path": "",
"fileTypes": [
"txt",
"md",
"mdx",
"csv",
"json",
"yaml",
"yml",
"xml",
"html",
"htm",
"pdf",
"docx",
"py",
"sh",
"sql",
"js",
"ts",
"tsx",
"jpg",
"jpeg",
"png",
"bmp",
"image"
],
"list": true,
"required": false,
"placeholder": "",
"show": true,
"value": "",
"name": "files",
"display_name": "Files",
"advanced": true,
"dynamic": false,
"info": "Files to be sent with the message.",
"title_case": false,
"type": "file"
},
"code": {
"type": "code",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n name = \"ChatInput\"\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=\"User\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n files=self.files,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
"advanced": true,
"dynamic": true,
"info": "",
"load_from_db": false,
"title_case": false
},
"input_value": {
"trace_as_input": true,
"multiline": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "Should not run",
"name": "input_value",
"display_name": "Text",
"advanced": false,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Message to be passed as input.",
"title_case": false,
"type": "str"
},
"sender": {
"trace_as_metadata": true,
"options": [
"Machine",
"User"
],
"required": false,
"placeholder": "",
"show": true,
"value": "User",
"name": "sender",
"display_name": "Sender Type",
"advanced": true,
"dynamic": false,
"info": "Type of sender.",
"title_case": false,
"type": "str"
},
"sender_name": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "User",
"name": "sender_name",
"display_name": "Sender Name",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Name of the sender.",
"title_case": false,
"type": "str"
},
"session_id": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "",
"name": "session_id",
"display_name": "Session ID",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Session ID for the message.",
"title_case": false,
"type": "str"
}
},
"description": "Get chat inputs from the Playground.",
"icon": "ChatInput",
"base_classes": [
"Message"
],
"display_name": "Chat Input",
"documentation": "",
"custom_fields": {},
"output_types": [],
"pinned": false,
"conditional_paths": [],
"frozen": false,
"outputs": [
{
"types": [
"Message"
],
"selected": "Message",
"name": "message",
"display_name": "Message",
"method": "message_response",
"value": "__UNDEFINED__",
"cache": true,
"hidden": false
}
],
"field_order": [
"input_value",
"sender",
"sender_name",
"session_id",
"files"
],
"beta": false,
"edited": false
},
"id": "ChatInput-QivBB"
},
"selected": false,
"width": 384,
"height": 309,
"positionAbsolute": {
"x": 419.7235078147726,
"y": 646.9863203129902
},
"dragging": false
},
{
"id": "ChatOutput-mN2VY",
"type": "genericNode",
"position": {
"x": 884.7327265656637,
"y": 662.4287265670896
},
"data": {
"type": "ChatOutput",
"node": {
"template": {
"_type": "Component",
"code": {
"type": "code",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, MessageTextInput, Output\nfrom langflow.schema.message import Message\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n name = \"ChatOutput\"\n\n inputs = [\n MessageTextInput(\n name=\"input_value\",\n display_name=\"Text\",\n info=\"Message to be passed as output.\",\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\", display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\", advanced=True\n ),\n MessageTextInput(\n name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n self.store_message(message)\n self.message.value = message\n\n self.status = message\n return message\n",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
"advanced": true,
"dynamic": true,
"info": "",
"load_from_db": false,
"title_case": false
},
"data_template": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "{text}",
"name": "data_template",
"display_name": "Data Template",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
"title_case": false,
"type": "str"
},
"input_value": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "",
"name": "input_value",
"display_name": "Text",
"advanced": false,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Message to be passed as output.",
"title_case": false,
"type": "str"
},
"sender": {
"trace_as_metadata": true,
"options": [
"Machine",
"User"
],
"required": false,
"placeholder": "",
"show": true,
"value": "Machine",
"name": "sender",
"display_name": "Sender Type",
"advanced": true,
"dynamic": false,
"info": "Type of sender.",
"title_case": false,
"type": "str"
},
"sender_name": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "AI",
"name": "sender_name",
"display_name": "Sender Name",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Name of the sender.",
"title_case": false,
"type": "str"
},
"session_id": {
"trace_as_input": true,
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "",
"name": "session_id",
"display_name": "Session ID",
"advanced": true,
"input_types": [
"Message"
],
"dynamic": false,
"info": "Session ID for the message.",
"title_case": false,
"type": "str"
}
},
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"Message"
],
"display_name": "Chat Output",
"documentation": "",
"custom_fields": {},
"output_types": [],
"pinned": false,
"conditional_paths": [],
"frozen": false,
"outputs": [
{
"types": [
"Message"
],
"selected": "Message",
"name": "message",
"display_name": "Message",
"method": "message_response",
"value": "__UNDEFINED__",
"cache": true
}
],
"field_order": [
"input_value",
"sender",
"sender_name",
"session_id",
"data_template"
],
"beta": false,
"edited": false
},
"id": "ChatOutput-mN2VY"
},
"selected": false,
"width": 384,
"height": 309,
"positionAbsolute": {
"x": 884.7327265656637,
"y": 662.4287265670896
},
"dragging": false
},
{
"id": "CustomComponent-Ntw7h",
"type": "genericNode",
"position": {
"x": 1396.7134608749789,
"y": 284.91367968123217
},
"data": {
"type": "CustomComponent",
"node": {
"template": {
"_type": "Component",
"code": {
"type": "code",
"required": true,
"placeholder": "",
"list": false,
"show": true,
"multiline": true,
"value": "# from langflow.field_typing import Data\nfrom langflow.custom import Component\nfrom langflow.io import StrInput\nfrom langflow.schema import Data\nfrom langflow.io import Output\nfrom pathlib import Path\nimport httpx\nclass CustomComponent(Component):\n display_name = \"Async Component\"\n description = \"Use as a template to create your own component.\"\n documentation: str = \"http://docs.langflow.org/components/custom\"\n icon = \"custom_components\"\n\n inputs = [\n StrInput(name=\"input_value\", display_name=\"Input Value\", value=\"Hello, World!\", input_types=[\"Data\"]),\n ]\n\n outputs = [\n Output(display_name=\"Output\", name=\"output\", method=\"build_output\"),\n ]\n\n async def build_output(self) -> Data:\n async with httpx.AsyncClient() as client:\n response = await client.get(\"https://www.google.com\")\n response.raise_for_status()\n return Data(response=response.text)",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
"advanced": true,
"dynamic": true,
"info": "",
"load_from_db": false,
"title_case": false
},
"input_value": {
"trace_as_metadata": true,
"load_from_db": false,
"list": false,
"required": false,
"placeholder": "",
"show": true,
"value": "Hello, World!",
"name": "input_value",
"display_name": "Input Value",
"advanced": false,
"input_types": [
"Data"
],
"dynamic": false,
"info": "",
"title_case": false,
"type": "str"
}
},
"description": "Use as a template to create your own component.",
"icon": "custom_components",
"base_classes": [],
"display_name": "Custom Component",
"documentation": "http://docs.langflow.org/components/custom",
"custom_fields": {},
"output_types": [],
"pinned": false,
"conditional_paths": [],
"frozen": false,
"outputs": [
{
"types": [],
"name": "output",
"display_name": "Output",
"method": "build_output",
"value": "__UNDEFINED__",
"cache": true
}
],
"field_order": [
"input_value"
],
"beta": false,
"edited": true
},
"id": "CustomComponent-Ntw7h",
"description": "Use as a template to create your own component.",
"display_name": "Custom Component"
},
"selected": true,
"width": 384,
"height": 337,
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510
src/backend/tests/data/basic_example.json Normal file
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@ -0,0 +1,510 @@
{
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import random
from langflow.custom import CustomComponent
class TestComponent(CustomComponent):
def refresh_values(self):
# This is a function that will be called every time the component is updated
# and should return a list of random strings
return [f"Random {random.randint(1, 100)}" for _ in range(5)]
def build_config(self):
return {"param": {"display_name": "Param", "options": self.refresh_values}}
def build(self, param: int):
return param

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src/backend/tests/data/component_multiple_outputs.py Normal file
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from langflow.custom import Component
from langflow.inputs.inputs import IntInput, MessageTextInput
from langflow.template.field.base import Output
class MultipleOutputsComponent(Component):
inputs = [
MessageTextInput(display_name="Input", name="input"),
IntInput(display_name="Number", name="number"),
]
outputs = [
Output(display_name="Certain Output", name="certain_output", method="certain_output"),
Output(display_name="Other Output", name="other_output", method="other_output"),
]
def certain_output(self) -> str:
return f"This is my string input: {self.input}"
def other_output(self) -> int:
return f"This is my int input multiplied by 2: {self.number * 2}"

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src/backend/tests/data/component_nested_call.py Normal file
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from random import randint
from langflow.custom import Component
from langflow.inputs.inputs import IntInput, MessageTextInput
from langflow.template.field.base import Output
class MultipleOutputsComponent(Component):
inputs = [
MessageTextInput(display_name="Input", name="input"),
IntInput(display_name="Number", name="number"),
]
outputs = [
Output(display_name="Certain Output", name="certain_output", method="certain_output"),
Output(display_name="Other Output", name="other_output", method="other_output"),
]
def certain_output(self) -> int:
return randint(0, self.number)
def other_output(self) -> int:
return self.certain_output()

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src/backend/tests/data/component_with_templatefield.py Normal file
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import random
from langflow.custom import CustomComponent
from langflow.field_typing import Input
class TestComponent(CustomComponent):
def refresh_values(self):
# This is a function that will be called every time the component is updated
# and should return a list of random strings
return [f"Random {random.randint(1, 100)}" for _ in range(5)]
def build_config(self):
return {"param": Input(display_name="Param", options=self.refresh_values)}
def build(self, param: int):
return param

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src/backend/tests/data/vector_store_grouped.json Normal file
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