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fix: auto fix starter projects (#4907)

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auto fix starter projects
This commit is contained in:
Lucas Oliveira 2024-11-28 09:05:44 -03:00 • committed by GitHub
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6 changed files with 591 additions and 319 deletions
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227
src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json
View file

@ -9,12 +9,16 @@
"dataType": "URL",
"id": "URL-ewId1",
"name": "data",
"output_types": ["Data"]
"output_types": [
"Data"
]
},
"targetHandle": {
"fieldName": "data",
"id": "ParseData-Zwm0z",
"inputTypes": ["Data"],
"inputTypes": [
"Data"
],
"type": "other"
}
},
@ -32,12 +36,17 @@
"dataType": "ParseData",
"id": "ParseData-Zwm0z",
"name": "text",
"output_types": ["Message"]
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "references",
"id": "Prompt-WTVXx",
"inputTypes": ["Message", "Text"],
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
@ -55,12 +64,17 @@
"dataType": "TextInput",
"id": "TextInput-PAceh",
"name": "text",
"output_types": ["Message"]
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "instructions",
"id": "Prompt-WTVXx",
"inputTypes": ["Message", "Text"],
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
@ -78,12 +92,16 @@
"dataType": "Prompt",
"id": "Prompt-WTVXx",
"name": "prompt",
"output_types": ["Message"]
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-s4uQ3",
"inputTypes": ["Message"],
"inputTypes": [
"Message"
],
"type": "str"
}
},
@ -101,12 +119,16 @@
"dataType": "OpenAIModel",
"id": "OpenAIModel-s4uQ3",
"name": "text_output",
"output_types": ["Message"]
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-uL64L",
"inputTypes": ["Message"],
"inputTypes": [
"Message"
],
"type": "str"
}
},
@ -124,7 +146,9 @@
"display_name": "URL",
"id": "URL-ewId1",
"node": {
"base_classes": ["Data"],
"base_classes": [
"Data"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -132,7 +156,9 @@
"display_name": "URL",
"documentation": "",
"edited": false,
"field_order": ["urls"],
"field_order": [
"urls"
],
"frozen": false,
"icon": "layout-template",
"legacy": false,
@ -146,7 +172,9 @@
"method": "fetch_content",
"name": "data",
"selected": "Data",
"types": ["Data"],
"types": [
"Data"
],
"value": "__UNDEFINED__"
},
{
@ -155,7 +183,9 @@
"method": "fetch_content_text",
"name": "text",
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
@ -188,7 +218,10 @@
"dynamic": false,
"info": "Output Format. Use 'Text' to extract the text from the HTML or 'Raw HTML' for the raw HTML content.",
"name": "format",
"options": ["Text", "Raw HTML"],
"options": [
"Text",
"Raw HTML"
],
"placeholder": "",
"required": false,
"show": true,
@ -202,7 +235,9 @@
"display_name": "URLs",
"dynamic": false,
"info": "Enter one or more URLs, by clicking the '+' button.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": true,
"load_from_db": false,
"name": "urls",
@ -213,7 +248,10 @@
"trace_as_input": true,
"trace_as_metadata": true,
"type": "str",
"value": ["https://langflow.org/", "https://docs.langflow.org/"]
"value": [
"https://langflow.org/",
"https://docs.langflow.org/"
]
}
}
},
@ -240,7 +278,9 @@
"display_name": "Parse Data",
"id": "ParseData-Zwm0z",
"node": {
"base_classes": ["Message"],
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -248,7 +288,11 @@
"display_name": "Parse Data",
"documentation": "",
"edited": false,
"field_order": ["data", "template", "sep"],
"field_order": [
"data",
"template",
"sep"
],
"frozen": false,
"icon": "braces",
"legacy": false,
@ -262,7 +306,20 @@
"method": "parse_data",
"name": "text",
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Data List",
"method": "parse_data_as_list",
"name": "data_list",
"selected": "Data",
"types": [
"Data"
],
"value": "__UNDEFINED__"
}
],
@ -285,15 +342,17 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n ]\n\n def parse_data(self) -> Message:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n\n result_string = data_to_text(template, data, sep=self.sep)\n self.status = result_string\n return Message(text=result_string)\n"
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\", is_list=True),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(\n display_name=\"Text\",\n name=\"text\",\n info=\"Data as a single Message, with each input Data separated by Separator\",\n method=\"parse_data\",\n ),\n Output(\n display_name=\"Data List\",\n name=\"data_list\",\n info=\"Data as a list of new Data, each having `text` formatted by Template\",\n method=\"parse_data_as_list\",\n ),\n ]\n\n def _clean_args(self) -> tuple[list[Data], str, str]:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n sep = self.sep\n return data, template, sep\n\n def parse_data(self) -> Message:\n data, template, sep = self._clean_args()\n result_string = data_to_text(template, data, sep)\n self.status = result_string\n return Message(text=result_string)\n\n def parse_data_as_list(self) -> list[Data]:\n data, template, _ = self._clean_args()\n text_list, data_list = data_to_text_list(template, data)\n for item, text in zip(data_list, text_list, strict=True):\n item.set_text(text)\n self.status = data_list\n return data_list\n"
},
"data": {
"advanced": false,
"display_name": "Data",
"dynamic": false,
"info": "The data to convert to text.",
"input_types": ["Data"],
"list": false,
"input_types": [
"Data"
],
"list": true,
"name": "data",
"placeholder": "",
"required": false,
@ -325,7 +384,9 @@
"display_name": "Template",
"dynamic": false,
"info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
@ -364,17 +425,24 @@
"display_name": "Prompt",
"id": "Prompt-WTVXx",
"node": {
"base_classes": ["Message"],
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {
"template": ["references", "instructions"]
"template": [
"references",
"instructions"
]
},
"description": "Create a prompt template with dynamic variables.",
"display_name": "Prompt",
"documentation": "",
"edited": false,
"field_order": ["template"],
"field_order": [
"template"
],
"frozen": false,
"icon": "prompts",
"legacy": false,
@ -388,7 +456,9 @@
"method": "build_prompt",
"name": "prompt",
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
@ -421,7 +491,10 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": ["Message", "Text"],
"input_types": [
"Message",
"Text"
],
"list": false,
"load_from_db": false,
"multiline": true,
@ -442,7 +515,10 @@
"fileTypes": [],
"file_path": "",
"info": "",
"input_types": ["Message", "Text"],
"input_types": [
"Message",
"Text"
],
"list": false,
"load_from_db": false,
"multiline": true,
@ -496,7 +572,9 @@
"display_name": "Instructions",
"id": "TextInput-PAceh",
"node": {
"base_classes": ["Message"],
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -504,7 +582,9 @@
"display_name": "Instructions",
"documentation": "",
"edited": false,
"field_order": ["input_value"],
"field_order": [
"input_value"
],
"frozen": false,
"icon": "type",
"legacy": false,
@ -518,7 +598,9 @@
"method": "text_response",
"name": "text",
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
@ -549,7 +631,9 @@
"display_name": "Text",
"dynamic": false,
"info": "Text to be passed as input.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
@ -588,7 +672,9 @@
"display_name": "Chat Output",
"id": "ChatOutput-uL64L",
"node": {
"base_classes": ["Message"],
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -617,7 +703,9 @@
"method": "message_response",
"name": "message",
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
@ -630,7 +718,9 @@
"display_name": "Background Color",
"dynamic": false,
"info": "The background color of the icon.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "background_color",
@ -649,7 +739,9 @@
"display_name": "Icon",
"dynamic": false,
"info": "The icon of the message.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "chat_icon",
@ -685,7 +777,9 @@
"display_name": "Data Template",
"dynamic": false,
"info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "data_template",
@ -703,7 +797,9 @@
"display_name": "Text",
"dynamic": false,
"info": "Message to be passed as output.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "input_value",
@ -722,7 +818,10 @@
"dynamic": false,
"info": "Type of sender.",
"name": "sender",
"options": ["Machine", "User"],
"options": [
"Machine",
"User"
],
"placeholder": "",
"required": false,
"show": true,
@ -736,7 +835,9 @@
"display_name": "Sender Name",
"dynamic": false,
"info": "Name of the sender.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "sender_name",
@ -754,7 +855,9 @@
"display_name": "Session ID",
"dynamic": false,
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "session_id",
@ -789,7 +892,9 @@
"display_name": "Text Color",
"dynamic": false,
"info": "The text color of the name",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "text_color",
@ -827,7 +932,10 @@
"display_name": "OpenAI",
"id": "OpenAIModel-s4uQ3",
"node": {
"base_classes": ["LanguageModel", "Message"],
"base_classes": [
"LanguageModel",
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -863,7 +971,9 @@
"name": "text_output",
"required_inputs": [],
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
},
{
@ -873,7 +983,9 @@
"name": "model_output",
"required_inputs": [],
"selected": "LanguageModel",
"types": ["LanguageModel"],
"types": [
"LanguageModel"
],
"value": "__UNDEFINED__"
}
],
@ -886,7 +998,9 @@
"display_name": "OpenAI API Key",
"dynamic": false,
"info": "The OpenAI API Key to use for the OpenAI model.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"load_from_db": true,
"name": "api_key",
"password": true,
@ -920,7 +1034,9 @@
"display_name": "Input",
"dynamic": false,
"info": "",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "input_value",
@ -1023,7 +1139,9 @@
"display_name": "Output Parser",
"dynamic": false,
"info": "The parser to use to parse the output of the model",
"input_types": ["OutputParser"],
"input_types": [
"OutputParser"
],
"list": false,
"name": "output_parser",
"placeholder": "",
@ -1235,11 +1353,14 @@
},
"description": "Auto-generate a customized blog post from instructions and referenced articles.",
"endpoint_name": null,
"gradient": "4",
"icon": "NotebookPen",
"id": "8b12aa0f-8b59-4806-a01f-5e545b5b1688",
"gradient": "4",
"is_component": false,
"last_tested_version": "1.0.19.post2",
"name": "Blog Writer",
"tags": ["chatbots", "content-generation"]
}
"tags": [
"chatbots",
"content-generation"
]
}

410
src/backend/base/langflow/initial_setup/starter_projects/Custom Component Maker.json
View file

@ -1,6 +1,203 @@
{
"id": "5155918c-68b1-4013-8d7b-61f31ffa931c",
"data": {
"edges": [
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "Memory",
"id": "Memory-QarNf",
"name": "messages_text",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "CHAT_HISTORY",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-Memory-QarNf{œdataTypeœ:œMemoryœ,œidœ:œMemory-QarNfœ,œnameœ:œmessages_textœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œCHAT_HISTORYœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"selected": false,
"source": "Memory-QarNf",
"sourceHandle": "{œdataTypeœ: œMemoryœ, œidœ: œMemory-QarNfœ, œnameœ: œmessages_textœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ: œCHAT_HISTORYœ, œidœ: œPrompt-VXWKjœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "ChatInput",
"id": "ChatInput-j1FgM",
"name": "message",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "USER_INPUT",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-ChatInput-j1FgM{œdataTypeœ:œChatInputœ,œidœ:œChatInput-j1FgMœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œUSER_INPUTœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"selected": false,
"source": "ChatInput-j1FgM",
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-j1FgMœ, œnameœ: œmessageœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ: œUSER_INPUTœ, œidœ: œPrompt-VXWKjœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "Prompt",
"id": "Prompt-VXWKj",
"name": "prompt",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "AnthropicModel-39lt2",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-Prompt-VXWKj{œdataTypeœ:œPromptœ,œidœ:œPrompt-VXWKjœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-AnthropicModel-39lt2{œfieldNameœ:œinput_valueœ,œidœ:œAnthropicModel-39lt2œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-VXWKj",
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-VXWKjœ, œnameœ: œpromptœ, œoutput_typesœ: [œMessageœ]}",
"target": "AnthropicModel-39lt2",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œAnthropicModel-39lt2œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "AnthropicModel",
"id": "AnthropicModel-39lt2",
"name": "text_output",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-ZCLW2",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-AnthropicModel-39lt2{œdataTypeœ:œAnthropicModelœ,œidœ:œAnthropicModel-39lt2œ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-ZCLW2{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-ZCLW2œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "AnthropicModel-39lt2",
"sourceHandle": "{œdataTypeœ: œAnthropicModelœ, œidœ: œAnthropicModel-39lt2œ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
"target": "ChatOutput-ZCLW2",
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-ZCLW2œ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "URL",
"id": "URL-ynvHI",
"name": "text",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "EXAMPLE_COMPONENTS",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-URL-ynvHI{œdataTypeœ:œURLœ,œidœ:œURL-ynvHIœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œEXAMPLE_COMPONENTSœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "URL-ynvHI",
"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-ynvHIœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ: œEXAMPLE_COMPONENTSœ, œidœ: œPrompt-VXWKjœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "URL",
"id": "URL-j0mBc",
"name": "text",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "BASE_COMPONENT_CODE",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-URL-j0mBc{œdataTypeœ:œURLœ,œidœ:œURL-j0mBcœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œBASE_COMPONENT_CODEœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "URL-j0mBc",
"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-j0mBcœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ: œBASE_COMPONENT_CODEœ, œidœ: œPrompt-VXWKjœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "URL",
"id": "URL-xqtKG",
"name": "text",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "CUSTOM_COMPONENT_CODE",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-URL-xqtKG{œdataTypeœ:œURLœ,œidœ:œURL-xqtKGœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œCUSTOM_COMPONENT_CODEœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "URL-xqtKG",
"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-xqtKGœ, œnameœ: œtextœ, œoutput_typesœ: [œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ: œCUSTOM_COMPONENT_CODEœ, œidœ: œPrompt-VXWKjœ, œinputTypesœ: [œMessageœ, œTextœ], œtypeœ: œstrœ}"
}
],
"nodes": [
{
"data": {
@ -1803,204 +2000,6 @@
"width": 320
}
],
"edges": [
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "Memory",
"id": "Memory-QarNf",
"name": "messages_text",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "CHAT_HISTORY",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-Memory-QarNf{œdataTypeœ:œMemoryœ,œidœ:œMemory-QarNfœ,œnameœ:œmessages_textœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œCHAT_HISTORYœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"selected": false,
"source": "Memory-QarNf",
"sourceHandle": "{œdataTypeœ:œMemoryœ,œidœ:œMemory-QarNfœ,œnameœ:œmessages_textœ,œoutput_typesœ:[œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ:œCHAT_HISTORYœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "ChatInput",
"id": "ChatInput-j1FgM",
"name": "message",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "USER_INPUT",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-ChatInput-j1FgM{œdataTypeœ:œChatInputœ,œidœ:œChatInput-j1FgMœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œUSER_INPUTœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"selected": false,
"source": "ChatInput-j1FgM",
"sourceHandle": "{œdataTypeœ:œChatInputœ,œidœ:œChatInput-j1FgMœ,œnameœ:œmessageœ,œoutput_typesœ:[œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ:œUSER_INPUTœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "Prompt",
"id": "Prompt-VXWKj",
"name": "prompt",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "AnthropicModel-39lt2",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-Prompt-VXWKj{œdataTypeœ:œPromptœ,œidœ:œPrompt-VXWKjœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}-AnthropicModel-39lt2{œfieldNameœ:œinput_valueœ,œidœ:œAnthropicModel-39lt2œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "Prompt-VXWKj",
"sourceHandle": "{œdataTypeœ:œPromptœ,œidœ:œPrompt-VXWKjœ,œnameœ:œpromptœ,œoutput_typesœ:[œMessageœ]}",
"target": "AnthropicModel-39lt2",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œAnthropicModel-39lt2œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "AnthropicModel",
"id": "AnthropicModel-39lt2",
"name": "text_output",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-ZCLW2",
"inputTypes": [
"Message"
],
"type": "str"
}
},
"id": "reactflow__edge-AnthropicModel-39lt2{œdataTypeœ:œAnthropicModelœ,œidœ:œAnthropicModel-39lt2œ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-ZCLW2{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-ZCLW2œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
"source": "AnthropicModel-39lt2",
"sourceHandle": "{œdataTypeœ:œAnthropicModelœ,œidœ:œAnthropicModel-39lt2œ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}",
"target": "ChatOutput-ZCLW2",
"targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-ZCLW2œ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "URL",
"id": "URL-ynvHI",
"name": "text",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "EXAMPLE_COMPONENTS",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-URL-ynvHI{œdataTypeœ:œURLœ,œidœ:œURL-ynvHIœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œEXAMPLE_COMPONENTSœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "URL-ynvHI",
"sourceHandle": "{œdataTypeœ:œURLœ,œidœ:œURL-ynvHIœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ:œEXAMPLE_COMPONENTSœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "URL",
"id": "URL-j0mBc",
"name": "text",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "BASE_COMPONENT_CODE",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-URL-j0mBc{œdataTypeœ:œURLœ,œidœ:œURL-j0mBcœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œBASE_COMPONENT_CODEœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "URL-j0mBc",
"sourceHandle": "{œdataTypeœ:œURLœ,œidœ:œURL-j0mBcœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ:œBASE_COMPONENT_CODEœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}"
},
{
"animated": false,
"className": "",
"data": {
"sourceHandle": {
"dataType": "URL",
"id": "URL-xqtKG",
"name": "text",
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "CUSTOM_COMPONENT_CODE",
"id": "Prompt-VXWKj",
"inputTypes": [
"Message",
"Text"
],
"type": "str"
}
},
"id": "reactflow__edge-URL-xqtKG{œdataTypeœ:œURLœ,œidœ:œURL-xqtKGœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}-Prompt-VXWKj{œfieldNameœ:œCUSTOM_COMPONENT_CODEœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}",
"source": "URL-xqtKG",
"sourceHandle": "{œdataTypeœ:œURLœ,œidœ:œURL-xqtKGœ,œnameœ:œtextœ,œoutput_typesœ:[œMessageœ]}",
"target": "Prompt-VXWKj",
"targetHandle": "{œfieldNameœ:œCUSTOM_COMPONENT_CODEœ,œidœ:œPrompt-VXWKjœ,œinputTypesœ:[œMessageœ,œTextœ],œtypeœ:œstrœ}"
}
],
"viewport": {
"x": -1123.4732050518141,
"y": -154.4525805182622,
@ -2008,14 +2007,15 @@
}
},
"description": "Generates well-structured code for custom components following Langflow's specifications.",
"endpoint_name": null,
"gradient": "1",
"icon": "SquareCode",
"id": "5155918c-68b1-4013-8d7b-61f31ffa931c",
"is_component": false,
"last_tested_version": "1.1.0",
"name": "Custom Component Generator",
"tags": [
"coding",
"web-scraping"
],
"gradient": "1",
"icon": "SquareCode",
"last_tested_version": "1.1.0",
"endpoint_name": null,
"is_component": false
]
}

15
src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json
View file

@ -731,6 +731,17 @@
"Message"
],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Data List",
"method": "parse_data_as_list",
"name": "data_list",
"selected": "Data",
"types": [
"Data"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
@ -752,7 +763,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n ]\n\n def parse_data(self) -> Message:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n\n result_string = data_to_text(template, data, sep=self.sep)\n self.status = result_string\n return Message(text=result_string)\n"
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\", is_list=True),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(\n display_name=\"Text\",\n name=\"text\",\n info=\"Data as a single Message, with each input Data separated by Separator\",\n method=\"parse_data\",\n ),\n Output(\n display_name=\"Data List\",\n name=\"data_list\",\n info=\"Data as a list of new Data, each having `text` formatted by Template\",\n method=\"parse_data_as_list\",\n ),\n ]\n\n def _clean_args(self) -> tuple[list[Data], str, str]:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n sep = self.sep\n return data, template, sep\n\n def parse_data(self) -> Message:\n data, template, sep = self._clean_args()\n result_string = data_to_text(template, data, sep)\n self.status = result_string\n return Message(text=result_string)\n\n def parse_data_as_list(self) -> list[Data]:\n data, template, _ = self._clean_args()\n text_list, data_list = data_to_text_list(template, data)\n for item, text in zip(data_list, text_list, strict=True):\n item.set_text(text)\n self.status = data_list\n return data_list\n"
},
"data": {
"advanced": false,
@ -762,7 +773,7 @@
"input_types": [
"Data"
],
"list": false,
"list": true,
"name": "data",
"placeholder": "",
"required": false,

228
src/backend/base/langflow/initial_setup/starter_projects/Image Sentiment Analysis.json
View file

@ -9,12 +9,16 @@
"dataType": "StructuredOutputComponent",
"id": "StructuredOutputComponent-2koen",
"name": "structured_output",
"output_types": ["Data"]
"output_types": [
"Data"
]
},
"targetHandle": {
"fieldName": "data",
"id": "ParseData-qwHwN",
"inputTypes": ["Data"],
"inputTypes": [
"Data"
],
"type": "other"
}
},
@ -32,12 +36,16 @@
"dataType": "ParseData",
"id": "ParseData-qwHwN",
"name": "text",
"output_types": ["Message"]
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "ChatOutput-pZKpN",
"inputTypes": ["Message"],
"inputTypes": [
"Message"
],
"type": "str"
}
},
@ -55,12 +63,16 @@
"dataType": "OpenAIModel",
"id": "OpenAIModel-9oYd2",
"name": "text_output",
"output_types": ["Message"]
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "StructuredOutputComponent-2koen",
"inputTypes": ["Message"],
"inputTypes": [
"Message"
],
"type": "str"
}
},
@ -78,12 +90,16 @@
"dataType": "OpenAIModel",
"id": "OpenAIModel-9oYd2",
"name": "model_output",
"output_types": ["LanguageModel"]
"output_types": [
"LanguageModel"
]
},
"targetHandle": {
"fieldName": "llm",
"id": "StructuredOutputComponent-2koen",
"inputTypes": ["LanguageModel"],
"inputTypes": [
"LanguageModel"
],
"type": "other"
}
},
@ -101,12 +117,16 @@
"dataType": "ChatInput",
"id": "ChatInput-G7si2",
"name": "message",
"output_types": ["Message"]
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "input_value",
"id": "OpenAIModel-9oYd2",
"inputTypes": ["Message"],
"inputTypes": [
"Message"
],
"type": "str"
}
},
@ -122,12 +142,16 @@
"dataType": "Prompt",
"id": "Prompt-ySGe4",
"name": "prompt",
"output_types": ["Message"]
"output_types": [
"Message"
]
},
"targetHandle": {
"fieldName": "system_message",
"id": "OpenAIModel-9oYd2",
"inputTypes": ["Message"],
"inputTypes": [
"Message"
],
"type": "str"
}
},
@ -145,7 +169,9 @@
"display_name": "Chat Input",
"id": "ChatInput-G7si2",
"node": {
"base_classes": ["Message"],
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -177,7 +203,9 @@
"method": "message_response",
"name": "message",
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
@ -190,7 +218,9 @@
"display_name": "Background Color",
"dynamic": false,
"info": "The background color of the icon.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "background_color",
@ -210,7 +240,9 @@
"display_name": "Icon",
"dynamic": false,
"info": "The icon of the message.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "chat_icon",
@ -290,7 +322,9 @@
"display_name": "Text",
"dynamic": false,
"info": "Message to be passed as input.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
@ -313,7 +347,10 @@
"dynamic": false,
"info": "Type of sender.",
"name": "sender",
"options": ["Machine", "User"],
"options": [
"Machine",
"User"
],
"placeholder": "",
"required": false,
"show": true,
@ -329,7 +366,9 @@
"display_name": "Sender Name",
"dynamic": false,
"info": "Name of the sender.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "sender_name",
@ -349,7 +388,9 @@
"display_name": "Session ID",
"dynamic": false,
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "session_id",
@ -385,7 +426,9 @@
"display_name": "Text Color",
"dynamic": false,
"info": "The text color of the name",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "text_color",
@ -425,7 +468,9 @@
"display_name": "Chat Output",
"id": "ChatOutput-pZKpN",
"node": {
"base_classes": ["Message"],
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -457,7 +502,9 @@
"method": "message_response",
"name": "message",
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
@ -470,7 +517,9 @@
"display_name": "Background Color",
"dynamic": false,
"info": "The background color of the icon.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "background_color",
@ -490,7 +539,9 @@
"display_name": "Icon",
"dynamic": false,
"info": "The icon of the message.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "chat_icon",
@ -528,7 +579,9 @@
"display_name": "Data Template",
"dynamic": false,
"info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "data_template",
@ -548,7 +601,9 @@
"display_name": "Text",
"dynamic": false,
"info": "Message to be passed as output.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "input_value",
@ -569,7 +624,10 @@
"dynamic": false,
"info": "Type of sender.",
"name": "sender",
"options": ["Machine", "User"],
"options": [
"Machine",
"User"
],
"placeholder": "",
"required": false,
"show": true,
@ -585,7 +643,9 @@
"display_name": "Sender Name",
"dynamic": false,
"info": "Name of the sender.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "sender_name",
@ -605,7 +665,9 @@
"display_name": "Session ID",
"dynamic": false,
"info": "The session ID of the chat. If empty, the current session ID parameter will be used.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "session_id",
@ -641,7 +703,9 @@
"display_name": "Text Color",
"dynamic": false,
"info": "The text color of the name",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "text_color",
@ -712,7 +776,9 @@
"display_name": "Structured Output",
"id": "StructuredOutputComponent-2koen",
"node": {
"base_classes": ["Data"],
"base_classes": [
"Data"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -740,7 +806,9 @@
"method": "build_structured_output",
"name": "structured_output",
"selected": "Data",
"types": ["Data"],
"types": [
"Data"
],
"value": "__UNDEFINED__"
}
],
@ -771,7 +839,9 @@
"display_name": "Input message",
"dynamic": false,
"info": "",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "input_value",
@ -791,7 +861,9 @@
"display_name": "Language Model",
"dynamic": false,
"info": "The language model to use to generate the structured output.",
"input_types": ["LanguageModel"],
"input_types": [
"LanguageModel"
],
"list": false,
"name": "llm",
"placeholder": "",
@ -931,7 +1003,9 @@
"data": {
"id": "ParseData-qwHwN",
"node": {
"base_classes": ["Message"],
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -939,7 +1013,11 @@
"display_name": "Parse Data",
"documentation": "",
"edited": false,
"field_order": ["data", "template", "sep"],
"field_order": [
"data",
"template",
"sep"
],
"frozen": false,
"icon": "braces",
"legacy": false,
@ -953,7 +1031,20 @@
"method": "parse_data",
"name": "text",
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Data List",
"method": "parse_data_as_list",
"name": "data_list",
"selected": "Data",
"types": [
"Data"
],
"value": "__UNDEFINED__"
}
],
@ -976,7 +1067,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n ]\n\n def parse_data(self) -> Message:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n\n result_string = data_to_text(template, data, sep=self.sep)\n self.status = result_string\n return Message(text=result_string)\n"
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\", is_list=True),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(\n display_name=\"Text\",\n name=\"text\",\n info=\"Data as a single Message, with each input Data separated by Separator\",\n method=\"parse_data\",\n ),\n Output(\n display_name=\"Data List\",\n name=\"data_list\",\n info=\"Data as a list of new Data, each having `text` formatted by Template\",\n method=\"parse_data_as_list\",\n ),\n ]\n\n def _clean_args(self) -> tuple[list[Data], str, str]:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n sep = self.sep\n return data, template, sep\n\n def parse_data(self) -> Message:\n data, template, sep = self._clean_args()\n result_string = data_to_text(template, data, sep)\n self.status = result_string\n return Message(text=result_string)\n\n def parse_data_as_list(self) -> list[Data]:\n data, template, _ = self._clean_args()\n text_list, data_list = data_to_text_list(template, data)\n for item, text in zip(data_list, text_list, strict=True):\n item.set_text(text)\n self.status = data_list\n return data_list\n"
},
"data": {
"_input_type": "DataInput",
@ -984,8 +1075,10 @@
"display_name": "Data",
"dynamic": false,
"info": "The data to convert to text.",
"input_types": ["Data"],
"list": false,
"input_types": [
"Data"
],
"list": true,
"name": "data",
"placeholder": "",
"required": false,
@ -1020,7 +1113,9 @@
"display_name": "Template",
"dynamic": false,
"info": "The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"multiline": true,
@ -1061,7 +1156,10 @@
"display_name": "OpenAI",
"id": "OpenAIModel-9oYd2",
"node": {
"base_classes": ["LanguageModel", "Message"],
"base_classes": [
"LanguageModel",
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {},
@ -1098,7 +1196,9 @@
"name": "text_output",
"required_inputs": [],
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
},
{
@ -1108,7 +1208,9 @@
"name": "model_output",
"required_inputs": [],
"selected": "LanguageModel",
"types": ["LanguageModel"],
"types": [
"LanguageModel"
],
"value": "__UNDEFINED__"
}
],
@ -1121,7 +1223,9 @@
"display_name": "OpenAI API Key",
"dynamic": false,
"info": "The OpenAI API Key to use for the OpenAI model.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"load_from_db": true,
"name": "api_key",
"password": true,
@ -1156,7 +1260,9 @@
"display_name": "Input",
"dynamic": false,
"info": "",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "input_value",
@ -1272,7 +1378,9 @@
"display_name": "Output Parser",
"dynamic": false,
"info": "The parser to use to parse the output of the model",
"input_types": ["OutputParser"],
"input_types": [
"OutputParser"
],
"list": false,
"name": "output_parser",
"placeholder": "",
@ -1337,7 +1445,9 @@
"display_name": "System Message",
"dynamic": false,
"info": "System message to pass to the model.",
"input_types": ["Message"],
"input_types": [
"Message"
],
"list": false,
"load_from_db": false,
"name": "system_message",
@ -1393,7 +1503,9 @@
"display_name": "Prompt",
"id": "Prompt-ySGe4",
"node": {
"base_classes": ["Message"],
"base_classes": [
"Message"
],
"beta": false,
"conditional_paths": [],
"custom_fields": {
@ -1403,7 +1515,9 @@
"display_name": "Prompt",
"documentation": "",
"edited": false,
"field_order": ["template"],
"field_order": [
"template"
],
"frozen": false,
"icon": "prompts",
"legacy": false,
@ -1417,7 +1531,9 @@
"method": "build_prompt",
"name": "prompt",
"selected": "Message",
"types": ["Message"],
"types": [
"Message"
],
"value": "__UNDEFINED__"
}
],
@ -1489,11 +1605,13 @@
},
"description": "Analyzes images and categorizes them as positive, negative, or neutral using zero-shot learning.",
"endpoint_name": null,
"gradient": "2",
"icon": "Image",
"id": "0caf0da8-c233-4fc5-9df3-41bb58403885",
"gradient": "2",
"is_component": false,
"last_tested_version": "1.0.19.post2",
"name": "Image Sentiment Analysis",
"tags": ["classification"]
}
"tags": [
"classification"
]
}

15
src/backend/base/langflow/initial_setup/starter_projects/Market Research.json
View file

@ -1738,6 +1738,17 @@
"Message"
],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Data List",
"method": "parse_data_as_list",
"name": "data_list",
"selected": "Data",
"types": [
"Data"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
@ -1759,7 +1770,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n ]\n\n def parse_data(self) -> Message:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n\n result_string = data_to_text(template, data, sep=self.sep)\n self.status = result_string\n return Message(text=result_string)\n"
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\", is_list=True),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(\n display_name=\"Text\",\n name=\"text\",\n info=\"Data as a single Message, with each input Data separated by Separator\",\n method=\"parse_data\",\n ),\n Output(\n display_name=\"Data List\",\n name=\"data_list\",\n info=\"Data as a list of new Data, each having `text` formatted by Template\",\n method=\"parse_data_as_list\",\n ),\n ]\n\n def _clean_args(self) -> tuple[list[Data], str, str]:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n sep = self.sep\n return data, template, sep\n\n def parse_data(self) -> Message:\n data, template, sep = self._clean_args()\n result_string = data_to_text(template, data, sep)\n self.status = result_string\n return Message(text=result_string)\n\n def parse_data_as_list(self) -> list[Data]:\n data, template, _ = self._clean_args()\n text_list, data_list = data_to_text_list(template, data)\n for item, text in zip(data_list, text_list, strict=True):\n item.set_text(text)\n self.status = data_list\n return data_list\n"
},
"data": {
"_input_type": "DataInput",
@ -1770,7 +1781,7 @@
"input_types": [
"Data"
],
"list": false,
"list": true,
"name": "data",
"placeholder": "",
"required": false,

15
src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json
View file

@ -593,6 +593,17 @@
"Message"
],
"value": "__UNDEFINED__"
},
{
"cache": true,
"display_name": "Data List",
"method": "parse_data_as_list",
"name": "data_list",
"selected": "Data",
"types": [
"Data"
],
"value": "__UNDEFINED__"
}
],
"pinned": false,
@ -614,7 +625,7 @@
"show": true,
"title_case": false,
"type": "code",
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\"),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"parse_data\"),\n ]\n\n def parse_data(self) -> Message:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n\n result_string = data_to_text(template, data, sep=self.sep)\n self.status = result_string\n return Message(text=result_string)\n"
"value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n display_name = \"Parse Data\"\n description = \"Convert Data into plain text following a specified template.\"\n icon = \"braces\"\n name = \"ParseData\"\n\n inputs = [\n DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\", is_list=True),\n MultilineInput(\n name=\"template\",\n display_name=\"Template\",\n info=\"The template to use for formatting the data. \"\n \"It can contain the keys {text}, {data} or any other key in the Data.\",\n value=\"{text}\",\n ),\n StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n ]\n\n outputs = [\n Output(\n display_name=\"Text\",\n name=\"text\",\n info=\"Data as a single Message, with each input Data separated by Separator\",\n method=\"parse_data\",\n ),\n Output(\n display_name=\"Data List\",\n name=\"data_list\",\n info=\"Data as a list of new Data, each having `text` formatted by Template\",\n method=\"parse_data_as_list\",\n ),\n ]\n\n def _clean_args(self) -> tuple[list[Data], str, str]:\n data = self.data if isinstance(self.data, list) else [self.data]\n template = self.template\n sep = self.sep\n return data, template, sep\n\n def parse_data(self) -> Message:\n data, template, sep = self._clean_args()\n result_string = data_to_text(template, data, sep)\n self.status = result_string\n return Message(text=result_string)\n\n def parse_data_as_list(self) -> list[Data]:\n data, template, _ = self._clean_args()\n text_list, data_list = data_to_text_list(template, data)\n for item, text in zip(data_list, text_list, strict=True):\n item.set_text(text)\n self.status = data_list\n return data_list\n"
},
"data": {
"advanced": false,
@ -624,7 +635,7 @@
"input_types": [
"Data"
],
"list": false,
"list": true,
"name": "data",
"placeholder": "",
"required": false,