fix: update several other templates (#8569)
* Update Vector Store RAG.json * fix: make starter projects auto refactor not remove selected output (#8400) * Fixed bug where starter projects were refactored incorrectly * fix: improve handling of selected outputs in custom component template builder - Added checks to ensure selected output is valid before attempting to set its state. - Enhanced code readability with comments explaining the logic for selecting outputs. * Set selected output as the previous selected output * Update base.py --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> * fix: made clean edges clean after changing dropdown of output (#8460) fixed output considering all outputs not just selected one * refactor(docker): remove --extra deploy flag from uv sync commands (#8485) 🔧 (build_and_push_with_extras.Dockerfile): remove unnecessary uv sync command options to improve build efficiency and reduce redundancy Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * fix: refactor mcp and freeze tests to be less prone to flaky results (#8486) * Fixed mcp test to be less prone to errors * Fix freeze spec * fix: made button disabled state more congruent, made edit flow details submit on enter (#8339) * Changed textarea classes * Changed flowsettingscomponent to use form * changed edit flow settings to use form and to submit on enter * Reset form data on close * Updated disabled state to have lower opacity instead of to have set background * Fixed loading state of button * Fix: chat memory store issue and fix output types (#8463) * fix chat memory * update template * update update outputs * update update outputs --------- Co-authored-by: Edwin Jose <edwin.jose@datastax.com> * ci: update setup-uv to possibly fix caching (#8490) * update templates * update templates * First round of template updates * Update templates * fix: Update SaaS, Social Media, and YouTube json file (#8441) * update SaaS, Social Media, and YouTube json file * fix: make starter projects auto refactor not remove selected output (#8400) * Fixed bug where starter projects were refactored incorrectly * fix: improve handling of selected outputs in custom component template builder - Added checks to ensure selected output is valid before attempting to set its state. - Enhanced code readability with comments explaining the logic for selecting outputs. * Set selected output as the previous selected output * Update base.py --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> * fix: made clean edges clean after changing dropdown of output (#8460) fixed output considering all outputs not just selected one * refactor(docker): remove --extra deploy flag from uv sync commands (#8485) 🔧 (build_and_push_with_extras.Dockerfile): remove unnecessary uv sync command options to improve build efficiency and reduce redundancy Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * fix: refactor mcp and freeze tests to be less prone to flaky results (#8486) * Fixed mcp test to be less prone to errors * Fix freeze spec * fix: made button disabled state more congruent, made edit flow details submit on enter (#8339) * Changed textarea classes * Changed flowsettingscomponent to use form * changed edit flow settings to use form and to submit on enter * Reset form data on close * Updated disabled state to have lower opacity instead of to have set background * Fixed loading state of button * Fix: chat memory store issue and fix output types (#8463) * fix chat memory * update template * update update outputs * update update outputs --------- Co-authored-by: Edwin Jose <edwin.jose@datastax.com> * ci: update setup-uv to possibly fix caching (#8490) * update json * fix custom component * revert change --------- Co-authored-by: Lucas Oliveira <62335616+lucaseduoli@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> Co-authored-by: Cristhian Zanforlin Lousa <cristhian.lousa@gmail.com> * fix: templates (#8499) * basic-prompting-template-updated * show-system-message * names * blog-writer-tested * financial-report-parser * image-sentiment-analysis * seo-keyword-generator * seo-keyword-generator * Merge branch 'fix-vector-search-template' into mendons-template-branch --------- Co-authored-by: Eric Hare <ericrhare@gmail.com> * Update Basic Prompting.json * Update Blog Writer.json * Further template updates * Update Image Sentiment Analysis.json * Update templates * Update Financial Report Parser.json * Update Market Research.json * Update Market Research.json * update several templates * Update Image Sentiment Analysis.json * Update Market Research.json * Update image sentiment analysis template * Update Market Research.json * Update Custom Component Maker.json * Update Custom Component Maker.json * Update Hybrid Search RAG.json * Update Hybrid Search RAG.json * Update Hybrid Search RAG.json * More template updates * Update Financial Report Parser.json * updated templates * change custom component maker * Update Twitter Thread Generator.json * updates from main * change model * Update Research Translation Loop.json * expanded output component to fix tests * update template * autofix * fix error * fix change back * change back * ci: Skip truncated values test for refactoring (#8670) * refactor: simplify init target by removing cache cleanup and adding pre-commit hook (#8590) * build: add pyyaml dependency * refactor: simplify init command by removing cache cleaning and langflow run call * refactor: simplify init target by removing cache cleanup and adding pre-commit hook * refactor: update langchain_core.prompts import paths to use specific modules --------- Co-authored-by: Edwin Jose <edwin.jose@datastax.com> * feat: update structured output to multiline input and revise system prompt (#8585) * Update structured_output.py * [autofix.ci] apply automated fixes * Update structured_output.py * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * update to prompt * template updates * Update src/backend/base/langflow/components/processing/structured_output.py * [autofix.ci] apply automated fixes * Update src/backend/base/langflow/components/processing/structured_output.py * Update src/backend/base/langflow/components/processing/structured_output.py * Update src/backend/base/langflow/components/processing/structured_output.py * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> * feat: add sessions endpoint with session management enhancements (#8596) * 📝 (monitor.py): Add endpoint to get sessions and handle session_id encoding for API requests 📝 (use-get-messages-mutation.ts): Implement a mutation function to fetch messages with query parameters and handle session_id encoding for API requests 📝 (use-get-messages-polling.ts): Ensure proper encoding of session_id for API requests in polling mutation 📝 (use-get-messages.ts): Handle session_id encoding for API requests in messages query 📝 (new-modal.tsx): Implement functions to handle session deletion and proper encoding of session_id for API requests 📝 (utils.ts): Add functions to encode, decode, validate, format, and prepare session IDs for API requests * 📝 (constants.ts): Add SESSIONS constant to API URLs for monitoring sessions 🔧 (use-delete-messages.ts): Add queryClient to UseRequestProcessor to invalidate sessions query ✨ (use-get-sessions-from-flow.ts): Introduce useGetSessionsFromFlowQuery to fetch sessions from flow 🔧 (use-rename-session.ts): Change refetchQueries to invalidateQueries for useGetSessionsFromFlowQuery 🔧 (custom-new-modal.tsx): Update import path for IOModal to playground-modal 🔧 (session-selector.tsx): Add setActiveSession function to handle setting active session 🔧 (sidebar-open-view.tsx): Add setActiveSession function to handle setting active session ♻️ (new-modal.tsx): Refactor IOModal into playground-modal and update functionality ♻️ (playground-modal.tsx): Refactor IOModal to handle playground-specific functionality ⬆️ (flowStore.ts): Add newChatOnPlayground state and setNewChatOnPlayground function ⬆️ (index.ts): Update FlowStoreType to include newChatOnPlayground and setNewChatOnPlayground * 🔧 (pyproject.toml): update testpaths to point to the correct directory for tests ✨ (test_session_endpoint.py): add unit tests for sessions endpoint with flow_id filtering ♻️ (session-selector.tsx): refactor to trim editedSession before setting it ♻️ (sidebar-open-view.tsx): refactor to set visibleSession instead of activeSession * ✨ (use-get-sessions-from-flow.ts): Always include the flow ID as the default session if it's not already present ♻️ (playground-modal.tsx): Refactor setting sessions to include currentFlowId as the default session if not present, and handle visibility of sessions more efficiently * ♻️ (use-get-messages-mutation.ts): remove unused imports and refactor code for better readability and maintainability * ✨ (test_session_endpoint.py): refactor test function names for better clarity and consistency * ✨ (create-new-session-name.ts): add function to generate a new session name based on the current date and time 🔧 (playground-modal.tsx): import createNewSessionName function to dynamically set a new session name when no session is visible * [autofix.ci] apply automated fixes * ✨ (monitor.py): rename get_sessions endpoint to get_message_sessions for clarity and consistency 🔧 (constants.ts): remove unused SESSIONS constant from API URLs 🔧 (use-delete-messages.ts): remove commented out code and unnecessary comments ✨ (use-delete-sessions.ts): add functionality to delete sessions in frontend 🔧 (use-get-sessions-from-flow.ts): update API endpoint for getting sessions to match backend changes 🔧 (playground-modal.tsx): add functionality to delete sessions and associated messages in the UI, update UI optimistically, and handle errors appropriately * [autofix.ci] apply automated fixes * 🐛 (monitor.py): Fix type hinting issue in delete_messages function 📝 (monitor.py): Add comments and improve readability in test_messages_endpoints.py 📝 (session_endpoint.py): Update endpoint paths for consistency and clarity in test_session_endpoint.py * [autofix.ci] apply automated fixes * fix: update SQL statement to use col() for session_id filtering in get_message_sessions function --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * fix: implemented cached values and temporary MCP servers on MCP component (#8628) * Added actionCount to fetch only servers without actionCount * Updated queries and uses to use servers without action data first, and then to fetch them * removed comment * updated constants * Added loading dropdown * Make options persist * Implemented new value format for McpComponent and implemented saving and removing temp Mcp Server if config is existent * Changed value type * Implemented cache and saving the server config * Fixed mcp server test * fix backend formatting * fixed lint * Added await * Fixed save button not appearing when no servers are available * added condition to only show save button when options is not null * template autofix * change template * update text sentiment analysis * change basic prompt back * change image sentiment back * update text sentiment and twitter * Update Twitter Thread Generator.json * Add back the input for the chat * add change * fix text sentiment * update research translation * Update Research Translation Loop.json --------- Co-authored-by: Eric Hare <ericrhare@gmail.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> Co-authored-by: Lucas Oliveira <62335616+lucaseduoli@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Cristhian Zanforlin Lousa <cristhian.lousa@gmail.com> Co-authored-by: Mendon Kissling <59585235+mendonk@users.noreply.github.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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|
||||
"id": "reactflow__edge-TypeConverterComponent-bRDWF{œdataTypeœ:œTypeConverterComponentœ,œidœ:œTypeConverterComponent-bRDWFœ,œnameœ:œmessage_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-qmosp{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-qmospœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œotherœ}",
|
||||
"id": "reactflow__edge-TypeConverterComponent-mWgMR{œdataTypeœ:œTypeConverterComponentœ,œidœ:œTypeConverterComponent-mWgMRœ,œnameœ:œmessage_outputœ,œoutput_typesœ:[œMessageœ]}-ChatOutput-ylHrO{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-ylHrOœ,œinputTypesœ:[œDataœ,œDataFrameœ,œMessageœ],œtypeœ:œotherœ}",
|
||||
"selected": false,
|
||||
"source": "TypeConverterComponent-bRDWF",
|
||||
"sourceHandle": "{œdataTypeœ: œTypeConverterComponentœ, œidœ: œTypeConverterComponent-bRDWFœ, œnameœ: œmessage_outputœ, œoutput_typesœ: [œMessageœ]}",
|
||||
"target": "ChatOutput-qmosp",
|
||||
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-qmospœ, œinputTypesœ: [œDataœ, œDataFrameœ, œMessageœ], œtypeœ: œotherœ}"
|
||||
"source": "TypeConverterComponent-mWgMR",
|
||||
"sourceHandle": "{œdataTypeœ: œTypeConverterComponentœ, œidœ: œTypeConverterComponent-mWgMRœ, œnameœ: œmessage_outputœ, œoutput_typesœ: [œMessageœ]}",
|
||||
"target": "ChatOutput-ylHrO",
|
||||
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œChatOutput-ylHrOœ, œinputTypesœ: [œDataœ, œDataFrameœ, œMessageœ], œtypeœ: œotherœ}"
|
||||
},
|
||||
{
|
||||
"animated": false,
|
||||
"className": "",
|
||||
"data": {
|
||||
"sourceHandle": {
|
||||
"dataType": "ParserComponent",
|
||||
"id": "ParserComponent-fEmaG",
|
||||
"id": "ParserComponent-2OCL9",
|
||||
"name": "parsed_text",
|
||||
"output_types": [
|
||||
"Message"
|
||||
|
|
@ -187,26 +160,27 @@
|
|||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "input_value",
|
||||
"id": "LanguageModelComponent-1OIsN",
|
||||
"id": "LanguageModelComponent-Te29P",
|
||||
"inputTypes": [
|
||||
"Message"
|
||||
],
|
||||
"type": "str"
|
||||
}
|
||||
},
|
||||
"id": "xy-edge__ParserComponent-fEmaG{œdataTypeœ:œParserComponentœ,œidœ:œParserComponent-fEmaGœ,œnameœ:œparsed_textœ,œoutput_typesœ:[œMessageœ]}-LanguageModelComponent-1OIsN{œfieldNameœ:œinput_valueœ,œidœ:œLanguageModelComponent-1OIsNœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
|
||||
"id": "reactflow__edge-ParserComponent-2OCL9{œdataTypeœ:œParserComponentœ,œidœ:œParserComponent-2OCL9œ,œnameœ:œparsed_textœ,œoutput_typesœ:[œMessageœ]}-LanguageModelComponent-Te29P{œfieldNameœ:œinput_valueœ,œidœ:œLanguageModelComponent-Te29Pœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
|
||||
"selected": false,
|
||||
"source": "ParserComponent-fEmaG",
|
||||
"sourceHandle": "{œdataTypeœ: œParserComponentœ, œidœ: œParserComponent-fEmaGœ, œnameœ: œparsed_textœ, œoutput_typesœ: [œMessageœ]}",
|
||||
"target": "LanguageModelComponent-1OIsN",
|
||||
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œLanguageModelComponent-1OIsNœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
|
||||
"source": "ParserComponent-2OCL9",
|
||||
"sourceHandle": "{œdataTypeœ: œParserComponentœ, œidœ: œParserComponent-2OCL9œ, œnameœ: œparsed_textœ, œoutput_typesœ: [œMessageœ]}",
|
||||
"target": "LanguageModelComponent-Te29P",
|
||||
"targetHandle": "{œfieldNameœ: œinput_valueœ, œidœ: œLanguageModelComponent-Te29Pœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
|
||||
},
|
||||
{
|
||||
"animated": false,
|
||||
"className": "",
|
||||
"data": {
|
||||
"sourceHandle": {
|
||||
"dataType": "LanguageModelComponent",
|
||||
"id": "LanguageModelComponent-1OIsN",
|
||||
"id": "LanguageModelComponent-Te29P",
|
||||
"name": "text_output",
|
||||
"output_types": [
|
||||
"Message"
|
||||
|
|
@ -214,25 +188,53 @@
|
|||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "message",
|
||||
"id": "MessagetoData-gTNDz",
|
||||
"id": "MessagetoData-IbO6b",
|
||||
"inputTypes": [
|
||||
"Message"
|
||||
],
|
||||
"type": "str"
|
||||
}
|
||||
},
|
||||
"id": "xy-edge__LanguageModelComponent-1OIsN{œdataTypeœ:œLanguageModelComponentœ,œidœ:œLanguageModelComponent-1OIsNœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-MessagetoData-gTNDz{œfieldNameœ:œmessageœ,œidœ:œMessagetoData-gTNDzœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
|
||||
"id": "reactflow__edge-LanguageModelComponent-Te29P{œdataTypeœ:œLanguageModelComponentœ,œidœ:œLanguageModelComponent-Te29Pœ,œnameœ:œtext_outputœ,œoutput_typesœ:[œMessageœ]}-MessagetoData-IbO6b{œfieldNameœ:œmessageœ,œidœ:œMessagetoData-IbO6bœ,œinputTypesœ:[œMessageœ],œtypeœ:œstrœ}",
|
||||
"selected": false,
|
||||
"source": "LanguageModelComponent-1OIsN",
|
||||
"sourceHandle": "{œdataTypeœ: œLanguageModelComponentœ, œidœ: œLanguageModelComponent-1OIsNœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
|
||||
"target": "MessagetoData-gTNDz",
|
||||
"targetHandle": "{œfieldNameœ: œmessageœ, œidœ: œMessagetoData-gTNDzœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
|
||||
"source": "LanguageModelComponent-Te29P",
|
||||
"sourceHandle": "{œdataTypeœ: œLanguageModelComponentœ, œidœ: œLanguageModelComponent-Te29Pœ, œnameœ: œtext_outputœ, œoutput_typesœ: [œMessageœ]}",
|
||||
"target": "MessagetoData-IbO6b",
|
||||
"targetHandle": "{œfieldNameœ: œmessageœ, œidœ: œMessagetoData-IbO6bœ, œinputTypesœ: [œMessageœ], œtypeœ: œstrœ}"
|
||||
},
|
||||
{
|
||||
"animated": false,
|
||||
"className": "",
|
||||
"data": {
|
||||
"sourceHandle": {
|
||||
"dataType": "MessagetoData",
|
||||
"id": "MessagetoData-IbO6b",
|
||||
"name": "data",
|
||||
"output_types": [
|
||||
"Data"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"dataType": "LoopComponent",
|
||||
"id": "LoopComponent-zuKTL",
|
||||
"name": "item",
|
||||
"output_types": [
|
||||
"Data"
|
||||
]
|
||||
}
|
||||
},
|
||||
"id": "reactflow__edge-MessagetoData-IbO6b{œdataTypeœ:œMessagetoDataœ,œidœ:œMessagetoData-IbO6bœ,œnameœ:œdataœ,œoutput_typesœ:[œDataœ]}-LoopComponent-zuKTL{œdataTypeœ:œLoopComponentœ,œidœ:œLoopComponent-zuKTLœ,œnameœ:œitemœ,œoutput_typesœ:[œDataœ]}",
|
||||
"selected": false,
|
||||
"source": "MessagetoData-IbO6b",
|
||||
"sourceHandle": "{œdataTypeœ: œMessagetoDataœ, œidœ: œMessagetoData-IbO6bœ, œnameœ: œdataœ, œoutput_typesœ: [œDataœ]}",
|
||||
"target": "LoopComponent-zuKTL",
|
||||
"targetHandle": "{œdataTypeœ: œLoopComponentœ, œidœ: œLoopComponent-zuKTLœ, œnameœ: œitemœ, œoutput_typesœ: [œDataœ]}"
|
||||
}
|
||||
],
|
||||
"nodes": [
|
||||
{
|
||||
"data": {
|
||||
"id": "ArXivComponent-gRTc5",
|
||||
"id": "ArXivComponent-WxSYF",
|
||||
"node": {
|
||||
"base_classes": [
|
||||
"DataFrame"
|
||||
|
|
@ -252,6 +254,7 @@
|
|||
"frozen": false,
|
||||
"icon": "arXiv",
|
||||
"legacy": false,
|
||||
"lf_version": "1.4.3",
|
||||
"metadata": {},
|
||||
"minimized": false,
|
||||
"output_types": [],
|
||||
|
|
@ -368,9 +371,9 @@
|
|||
"type": "ArXivComponent"
|
||||
},
|
||||
"dragging": false,
|
||||
"id": "ArXivComponent-gRTc5",
|
||||
"id": "ArXivComponent-WxSYF",
|
||||
"measured": {
|
||||
"height": 369,
|
||||
"height": 368,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
|
|
@ -382,109 +385,7 @@
|
|||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "MessagetoData-gTNDz",
|
||||
"node": {
|
||||
"base_classes": [
|
||||
"Data"
|
||||
],
|
||||
"beta": true,
|
||||
"conditional_paths": [],
|
||||
"custom_fields": {},
|
||||
"description": "Convert a Message object to a Data object",
|
||||
"display_name": "Message to Data",
|
||||
"documentation": "",
|
||||
"edited": false,
|
||||
"field_order": [
|
||||
"message"
|
||||
],
|
||||
"frozen": false,
|
||||
"icon": "message-square-share",
|
||||
"legacy": true,
|
||||
"metadata": {},
|
||||
"minimized": false,
|
||||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"allows_loop": false,
|
||||
"cache": true,
|
||||
"display_name": "Data",
|
||||
"group_outputs": false,
|
||||
"method": "convert_message_to_data",
|
||||
"name": "data",
|
||||
"selected": "Data",
|
||||
"tool_mode": true,
|
||||
"types": [
|
||||
"Data"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"pinned": false,
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "code",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": true,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from loguru import logger\n\nfrom langflow.custom.custom_component.component import Component\nfrom langflow.io import MessageInput, Output\nfrom langflow.schema.data import Data\nfrom langflow.schema.message import Message\n\n\nclass MessageToDataComponent(Component):\n display_name = \"Message to Data\"\n description = \"Convert a Message object to a Data object\"\n icon = \"message-square-share\"\n beta = True\n name = \"MessagetoData\"\n legacy = True\n\n inputs = [\n MessageInput(\n name=\"message\",\n display_name=\"Message\",\n info=\"The Message object to convert to a Data object\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"convert_message_to_data\"),\n ]\n\n def convert_message_to_data(self) -> Data:\n if isinstance(self.message, Message):\n # Convert Message to Data\n return Data(data=self.message.data)\n\n msg = \"Error converting Message to Data: Input must be a Message object\"\n logger.opt(exception=True).debug(msg)\n self.status = msg\n return Data(data={\"error\": msg})\n"
|
||||
},
|
||||
"message": {
|
||||
"_input_type": "MessageInput",
|
||||
"advanced": false,
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"info": "The Message object to convert to a Data object",
|
||||
"input_types": [
|
||||
"Message"
|
||||
],
|
||||
"list": false,
|
||||
"list_add_label": "Add More",
|
||||
"load_from_db": false,
|
||||
"name": "message",
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"tool_mode": false,
|
||||
"trace_as_input": true,
|
||||
"trace_as_metadata": true,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
}
|
||||
},
|
||||
"tool_mode": false
|
||||
},
|
||||
"showNode": true,
|
||||
"type": "MessagetoData"
|
||||
},
|
||||
"dragging": false,
|
||||
"id": "MessagetoData-gTNDz",
|
||||
"measured": {
|
||||
"height": 204,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
"x": 1863.8805295746977,
|
||||
"y": 440.56780240629814
|
||||
},
|
||||
"selected": false,
|
||||
"type": "genericNode"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "ChatOutput-qmosp",
|
||||
"id": "ChatOutput-ylHrO",
|
||||
"node": {
|
||||
"base_classes": [
|
||||
"Message"
|
||||
|
|
@ -511,6 +412,7 @@
|
|||
"frozen": false,
|
||||
"icon": "MessagesSquare",
|
||||
"legacy": false,
|
||||
"lf_version": "1.4.3",
|
||||
"metadata": {},
|
||||
"minimized": true,
|
||||
"output_types": [],
|
||||
|
|
@ -778,7 +680,7 @@
|
|||
"type": "ChatOutput"
|
||||
},
|
||||
"dragging": false,
|
||||
"id": "ChatOutput-qmosp",
|
||||
"id": "ChatOutput-ylHrO",
|
||||
"measured": {
|
||||
"height": 48,
|
||||
"width": 192
|
||||
|
|
@ -792,7 +694,7 @@
|
|||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "ChatInput-tlH0y",
|
||||
"id": "ChatInput-OF2vZ",
|
||||
"node": {
|
||||
"base_classes": [
|
||||
"Message"
|
||||
|
|
@ -818,6 +720,7 @@
|
|||
"frozen": false,
|
||||
"icon": "MessagesSquare",
|
||||
"legacy": false,
|
||||
"lf_version": "1.4.3",
|
||||
"metadata": {},
|
||||
"minimized": true,
|
||||
"output_types": [],
|
||||
|
|
@ -1089,9 +992,9 @@
|
|||
"type": "ChatInput"
|
||||
},
|
||||
"dragging": false,
|
||||
"id": "ChatInput-tlH0y",
|
||||
"id": "ChatInput-OF2vZ",
|
||||
"measured": {
|
||||
"height": 204,
|
||||
"height": 203,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
|
|
@ -1103,7 +1006,7 @@
|
|||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "note-9tIWh",
|
||||
"id": "note-uG7pK",
|
||||
"node": {
|
||||
"description": "### 💡 Add your Anthropic API key here 👇",
|
||||
"display_name": "",
|
||||
|
|
@ -1116,10 +1019,10 @@
|
|||
},
|
||||
"dragging": false,
|
||||
"height": 324,
|
||||
"id": "note-9tIWh",
|
||||
"id": "note-uG7pK",
|
||||
"measured": {
|
||||
"height": 324,
|
||||
"width": 358
|
||||
"width": 359
|
||||
},
|
||||
"position": {
|
||||
"x": 1479.4278434913201,
|
||||
|
|
@ -1132,9 +1035,9 @@
|
|||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "note-Hrxxt",
|
||||
"id": "note-F4Ff1",
|
||||
"node": {
|
||||
"description": "# **Langflow Loop Component Template - ArXiv search result Translator** \nThis template translates research paper summaries on ArXiv into Portuguese and summarizes them. \n Using **Langflow’s looping mechanism**, the template iterates through multiple research papers, translates them with the **Anthropic** model component, and outputs an aggregated version of all translated papers. \n\n## Quickstart \n 1. Add your Anthropic API key to the **Anthropic** component. \n2. In the **Playground**, enter a query related to a research topic (for example, “Quantum Computing Advancements”). \n\n The flow fetches a list of research papers from ArXiv matching the query. Each paper in the retrieved list is processed one-by-one using the Langflow **Loop component**. \n\n The abstract of each paper is translated into Portuguese by the **Anthropic** model component. \n\n Once all papers are translated, the system aggregates them into a **single structured output**.",
|
||||
"description": "# **Langflow Loop Component Template - ArXiv search result Translator** \nThis template translates research paper summaries on ArXiv into Portuguese and summarizes them. \n Using **Langflow’s looping mechanism**, the template iterates through multiple research papers, translates them with the **OpenAI** model component, and outputs an aggregated version of all translated papers. \n\n## Quickstart \n 1. Add your OpenAI API key to the **Language Model** component. \n2. In the **Playground**, enter a query related to a research topic (for example, “Quantum Computing Advancements”). \n\n The flow fetches a list of research papers from ArXiv matching the query. Each paper in the retrieved list is processed one-by-one using the Langflow **Loop component**. \n\n The abstract of each paper is translated into Portuguese by the **OpenAI** model component. \n\n Once all papers are translated, the system aggregates them into a **single structured output**.",
|
||||
"display_name": "",
|
||||
"documentation": "",
|
||||
"template": {}
|
||||
|
|
@ -1143,10 +1046,10 @@
|
|||
},
|
||||
"dragging": false,
|
||||
"height": 647,
|
||||
"id": "note-Hrxxt",
|
||||
"id": "note-F4Ff1",
|
||||
"measured": {
|
||||
"height": 647,
|
||||
"width": 577
|
||||
"width": 576
|
||||
},
|
||||
"position": {
|
||||
"x": -890.9006297459302,
|
||||
|
|
@ -1159,7 +1062,7 @@
|
|||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "ParserComponent-fEmaG",
|
||||
"id": "ParserComponent-2OCL9",
|
||||
"node": {
|
||||
"base_classes": [
|
||||
"Message"
|
||||
|
|
@ -1318,9 +1221,9 @@
|
|||
"type": "ParserComponent"
|
||||
},
|
||||
"dragging": false,
|
||||
"id": "ParserComponent-fEmaG",
|
||||
"id": "ParserComponent-2OCL9",
|
||||
"measured": {
|
||||
"height": 329,
|
||||
"height": 328,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
|
|
@ -1332,7 +1235,7 @@
|
|||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "LoopComponent-F5Djy",
|
||||
"id": "LoopComponent-zuKTL",
|
||||
"node": {
|
||||
"base_classes": [
|
||||
"Data",
|
||||
|
|
@ -1351,6 +1254,7 @@
|
|||
"frozen": false,
|
||||
"icon": "infinity",
|
||||
"legacy": false,
|
||||
"lf_version": "1.4.3",
|
||||
"metadata": {},
|
||||
"minimized": false,
|
||||
"output_types": [],
|
||||
|
|
@ -1432,9 +1336,9 @@
|
|||
"type": "LoopComponent"
|
||||
},
|
||||
"dragging": false,
|
||||
"id": "LoopComponent-F5Djy",
|
||||
"id": "LoopComponent-zuKTL",
|
||||
"measured": {
|
||||
"height": 242,
|
||||
"height": 241,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
|
|
@ -1446,7 +1350,7 @@
|
|||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "TypeConverterComponent-bRDWF",
|
||||
"id": "TypeConverterComponent-mWgMR",
|
||||
"node": {
|
||||
"base_classes": [
|
||||
"Message"
|
||||
|
|
@ -1467,6 +1371,7 @@
|
|||
"icon": "repeat",
|
||||
"key": "TypeConverterComponent",
|
||||
"legacy": false,
|
||||
"lf_version": "1.4.3",
|
||||
"metadata": {},
|
||||
"minimized": false,
|
||||
"output_types": [],
|
||||
|
|
@ -1559,7 +1464,7 @@
|
|||
"type": "TypeConverterComponent"
|
||||
},
|
||||
"dragging": false,
|
||||
"id": "TypeConverterComponent-bRDWF",
|
||||
"id": "TypeConverterComponent-mWgMR",
|
||||
"measured": {
|
||||
"height": 262,
|
||||
"width": 320
|
||||
|
|
@ -1573,7 +1478,7 @@
|
|||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "LanguageModelComponent-1OIsN",
|
||||
"id": "LanguageModelComponent-Te29P",
|
||||
"node": {
|
||||
"base_classes": [
|
||||
"LanguageModel",
|
||||
|
|
@ -1658,7 +1563,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
"value": "OPENAI_API_KEY"
|
||||
},
|
||||
"code": {
|
||||
"advanced": true,
|
||||
|
|
@ -1731,7 +1636,7 @@
|
|||
"tool_mode": false,
|
||||
"trace_as_metadata": true,
|
||||
"type": "str",
|
||||
"value": "claude-opus-4-20250514"
|
||||
"value": "gpt-4o-mini"
|
||||
},
|
||||
"provider": {
|
||||
"_input_type": "DropdownInput",
|
||||
|
|
@ -1749,10 +1654,10 @@
|
|||
],
|
||||
"options_metadata": [
|
||||
{
|
||||
"icon": "OpenAI"
|
||||
"icon": "Anthropic"
|
||||
},
|
||||
{
|
||||
"icon": "Anthropic"
|
||||
"icon": "OpenAI"
|
||||
},
|
||||
{
|
||||
"icon": "Google"
|
||||
|
|
@ -1767,7 +1672,7 @@
|
|||
"tool_mode": false,
|
||||
"trace_as_metadata": true,
|
||||
"type": "str",
|
||||
"value": "Anthropic"
|
||||
"value": "OpenAI"
|
||||
},
|
||||
"stream": {
|
||||
"_input_type": "BoolInput",
|
||||
|
|
@ -1847,9 +1752,9 @@
|
|||
"type": "LanguageModelComponent"
|
||||
},
|
||||
"dragging": false,
|
||||
"id": "LanguageModelComponent-1OIsN",
|
||||
"id": "LanguageModelComponent-Te29P",
|
||||
"measured": {
|
||||
"height": 534,
|
||||
"height": 532,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
|
|
@ -1858,17 +1763,122 @@
|
|||
},
|
||||
"selected": false,
|
||||
"type": "genericNode"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"id": "MessagetoData-IbO6b",
|
||||
"node": {
|
||||
"base_classes": [
|
||||
"Data"
|
||||
],
|
||||
"beta": true,
|
||||
"category": "processing",
|
||||
"conditional_paths": [],
|
||||
"custom_fields": {},
|
||||
"description": "Convert a Message object to a Data object",
|
||||
"display_name": "Message to Data",
|
||||
"documentation": "",
|
||||
"edited": false,
|
||||
"field_order": [
|
||||
"message"
|
||||
],
|
||||
"frozen": false,
|
||||
"icon": "message-square-share",
|
||||
"key": "MessagetoData",
|
||||
"legacy": true,
|
||||
"metadata": {},
|
||||
"minimized": false,
|
||||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"allows_loop": false,
|
||||
"cache": true,
|
||||
"display_name": "Data",
|
||||
"group_outputs": false,
|
||||
"method": "convert_message_to_data",
|
||||
"name": "data",
|
||||
"selected": "Data",
|
||||
"tool_mode": true,
|
||||
"types": [
|
||||
"Data"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"pinned": false,
|
||||
"score": 0.008222426499470714,
|
||||
"template": {
|
||||
"_type": "Component",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
"info": "",
|
||||
"list": false,
|
||||
"load_from_db": false,
|
||||
"multiline": true,
|
||||
"name": "code",
|
||||
"password": false,
|
||||
"placeholder": "",
|
||||
"required": true,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from loguru import logger\n\nfrom langflow.custom.custom_component.component import Component\nfrom langflow.io import MessageInput, Output\nfrom langflow.schema.data import Data\nfrom langflow.schema.message import Message\n\n\nclass MessageToDataComponent(Component):\n display_name = \"Message to Data\"\n description = \"Convert a Message object to a Data object\"\n icon = \"message-square-share\"\n beta = True\n name = \"MessagetoData\"\n legacy = True\n\n inputs = [\n MessageInput(\n name=\"message\",\n display_name=\"Message\",\n info=\"The Message object to convert to a Data object\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"convert_message_to_data\"),\n ]\n\n def convert_message_to_data(self) -> Data:\n if isinstance(self.message, Message):\n # Convert Message to Data\n return Data(data=self.message.data)\n\n msg = \"Error converting Message to Data: Input must be a Message object\"\n logger.opt(exception=True).debug(msg)\n self.status = msg\n return Data(data={\"error\": msg})\n"
|
||||
},
|
||||
"message": {
|
||||
"_input_type": "MessageInput",
|
||||
"advanced": false,
|
||||
"display_name": "Message",
|
||||
"dynamic": false,
|
||||
"info": "The Message object to convert to a Data object",
|
||||
"input_types": [
|
||||
"Message"
|
||||
],
|
||||
"list": false,
|
||||
"list_add_label": "Add More",
|
||||
"load_from_db": false,
|
||||
"name": "message",
|
||||
"placeholder": "",
|
||||
"required": false,
|
||||
"show": true,
|
||||
"title_case": false,
|
||||
"tool_mode": false,
|
||||
"trace_as_input": true,
|
||||
"trace_as_metadata": true,
|
||||
"type": "str",
|
||||
"value": ""
|
||||
}
|
||||
},
|
||||
"tool_mode": false
|
||||
},
|
||||
"showNode": true,
|
||||
"type": "MessagetoData"
|
||||
},
|
||||
"dragging": false,
|
||||
"id": "MessagetoData-IbO6b",
|
||||
"measured": {
|
||||
"height": 203,
|
||||
"width": 320
|
||||
},
|
||||
"position": {
|
||||
"x": 1836.3049922790483,
|
||||
"y": 411.76970008520357
|
||||
},
|
||||
"selected": false,
|
||||
"type": "genericNode"
|
||||
}
|
||||
],
|
||||
"viewport": {
|
||||
"x": -542.6575578166919,
|
||||
"y": 461.5588015794615,
|
||||
"zoom": 0.638990610387083
|
||||
"x": 718.2366665584553,
|
||||
"y": 264.2875075099402,
|
||||
"zoom": 0.46271902027504264
|
||||
}
|
||||
},
|
||||
"description": "This template iterates over search results using LoopComponent and translates each result into Portuguese automatically. 🚀",
|
||||
"endpoint_name": null,
|
||||
"id": "ecfcbade-de2b-4f96-83e3-2eeb365fbed0",
|
||||
"id": "00674d9d-d897-4c75-aedd-dcca1c8e8d9d",
|
||||
"is_component": false,
|
||||
"last_tested_version": "1.4.3",
|
||||
"name": "Research Translation Loop",
|
||||
|
|
|
|||
|
|
@ -3,8 +3,6 @@ import * as dotenv from "dotenv";
|
|||
import path from "path";
|
||||
import { awaitBootstrapTest } from "../../utils/await-bootstrap-test";
|
||||
import { getAllResponseMessage } from "../../utils/get-all-response-message";
|
||||
import { initialGPTsetup } from "../../utils/initialGPTsetup";
|
||||
import { waitForOpenModalWithChatInput } from "../../utils/wait-for-open-modal";
|
||||
import { withEventDeliveryModes } from "../../utils/withEventDeliveryModes";
|
||||
|
||||
withEventDeliveryModes(
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue