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cristhianzl 2024-05-02 10:39:46 -03:00
commit aa3ea07c6a
39 changed files with 1850 additions and 1333 deletions
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1
.github/workflows/pre-release-langflow.yml vendored
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@ -63,6 +63,7 @@ jobs:
runs-on: ubuntu-latest
needs: release
steps:
- uses: actions/checkout@v4
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx

1155
poetry.lock generated
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File diff suppressed because it is too large Load diff

3
pyproject.toml
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@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "1.0.0a24"
version = "1.0.0a26"
description = "A Python package with a built-in web application"
authors = ["Langflow <contact@langflow.org>"]
maintainers = [
@ -81,6 +81,7 @@ chromadb = "^0.4.24"
langchain-anthropic = "^0.1.6"
langchain-astradb = "^0.1.0"
langchain-openai = "^0.1.1"
zep-python = { version = "^2.0.0rc5", allow-prereleases = true }
[tool.poetry.group.dev.dependencies]
types-redis = "^4.6.0.5"

11
src/backend/base/langflow/api/v1/chat.py
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@ -51,10 +51,10 @@ async def try_running_celery_task(vertex, user_id):
return vertex
@router.get("/build/{flow_id}/vertices", response_model=VerticesOrderResponse)
async def get_vertices(
@router.post("/build/{flow_id}/vertices", response_model=VerticesOrderResponse)
async def retrieve_vertices_order(
flow_id: str,
data: Optional[FlowDataRequest] = None,
data: Annotated[Optional[FlowDataRequest], Body(embed=True)] = None,
stop_component_id: Optional[str] = None,
start_component_id: Optional[str] = None,
chat_service: "ChatService" = Depends(get_chat_service),
@ -65,6 +65,7 @@ async def get_vertices(
Args:
flow_id (str): The ID of the flow.
data (Optional[FlowDataRequest], optional): The flow data. Defaults to None.
stop_component_id (str, optional): The ID of the stop component. Defaults to None.
start_component_id (str, optional): The ID of the start component. Defaults to None.
chat_service (ChatService, optional): The chat service dependency. Defaults to Depends(get_chat_service).
@ -86,7 +87,9 @@ async def get_vertices(
flow_id=flow_id, session=session, chat_service=chat_service, graph=graph
)
else:
graph = await build_and_cache_graph_from_data(flow_id=flow_id, data=data, chat_service=chat_service)
graph = await build_and_cache_graph_from_data(
flow_id=flow_id, graph_data=data.model_dump(), chat_service=chat_service
)
if stop_component_id or start_component_id:
try:
first_layer = graph.sort_vertices(stop_component_id, start_component_id)

2
src/backend/base/langflow/api/v1/endpoints.py
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@ -130,7 +130,7 @@ async def simplified_run_flow(
graph_data = flow.data
graph_data = process_tweaks(graph_data, input_request.tweaks or {}, stream=stream)
graph = Graph.from_payload(graph_data, flow_id=flow_id, user_id=api_key_user.id)
graph = Graph.from_payload(graph_data, flow_id=flow_id, user_id=str(api_key_user.id))
inputs = [
InputValueRequest(components=[], input_value=input_request.input_value, type=input_request.input_type)
]

0
src/backend/base/langflow/base/memory/__init__.py Normal file
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51
src/backend/base/langflow/base/memory/memory.py Normal file
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@ -0,0 +1,51 @@
from typing import Optional
from langflow.field_typing import Text
from langflow.helpers.record import records_to_text
from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
class BaseMemoryComponent(CustomComponent):
display_name = "Chat Memory"
description = "Retrieves stored chat messages given a specific Session ID."
beta: bool = True
icon = "history"
def build_config(self):
return {
"sender": {
"options": ["Machine", "User", "Machine and User"],
"display_name": "Sender Type",
},
"sender_name": {"display_name": "Sender Name", "advanced": True},
"n_messages": {
"display_name": "Number of Messages",
"info": "Number of messages to retrieve.",
},
"session_id": {
"display_name": "Session ID",
"info": "Session ID of the chat history.",
"input_types": ["Text"],
},
"order": {
"options": ["Ascending", "Descending"],
"display_name": "Order",
"info": "Order of the messages.",
"advanced": True,
},
"record_template": {
"display_name": "Record Template",
"multiline": True,
"info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.",
"advanced": True,
},
}
def get_messages(self, **kwargs) -> list[Record]:
raise NotImplementedError
def add_message(
self, sender: str, sender_name: str, text: str, session_id: str, metadata: Optional[dict] = None, **kwargs
):
raise NotImplementedError

28
src/backend/base/langflow/components/helpers/MemoryComponent.py
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@ -1,12 +1,13 @@
from typing import Optional
from langflow.base.memory.memory import BaseMemoryComponent
from langflow.field_typing import Text
from langflow.helpers.record import records_to_text
from langflow.interface.custom.custom_component import CustomComponent
from langflow.memory import get_messages
from langflow.schema.schema import Record
class MemoryComponent(CustomComponent):
class MemoryComponent(BaseMemoryComponent):
display_name = "Chat Memory"
description = "Retrieves stored chat messages given a specific Session ID."
beta: bool = True
@ -42,6 +43,24 @@ class MemoryComponent(CustomComponent):
},
}
def get_messages(self, **kwargs) -> list[Record]:
# Validate kwargs by checking if it contains the correct keys
if "sender" not in kwargs:
kwargs["sender"] = None
if "sender_name" not in kwargs:
kwargs["sender_name"] = None
if "session_id" not in kwargs:
kwargs["session_id"] = None
if "limit" not in kwargs:
kwargs["limit"] = 5
if "order" not in kwargs:
kwargs["order"] = "Descending"
kwargs["order"] = "DESC" if kwargs["order"] == "Descending" else "ASC"
if kwargs["sender"] == "Machine and User":
kwargs["sender"] = None
return get_messages(**kwargs)
def build(
self,
sender: Optional[str] = "Machine and User",
@ -51,10 +70,7 @@ class MemoryComponent(CustomComponent):
order: Optional[str] = "Descending",
record_template: Optional[str] = "{sender_name}: {text}",
) -> Text:
order = "DESC" if order == "Descending" else "ASC"
if sender == "Machine and User":
sender = None
messages = get_messages(
messages = self.get_messages(
sender=sender,
sender_name=sender_name,
session_id=session_id,

48
src/backend/base/langflow/components/inputs/FileInput.py Normal file
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@ -0,0 +1,48 @@
from pathlib import Path
from typing import Any, Dict
from langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record
from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
class FileInput(CustomComponent):
display_name = "File Input"
description = "A generic file input."
icon = "file-text"
def build_config(self) -> Dict[str, Any]:
return {
"path": {
"display_name": "Path",
"field_type": "file",
"file_types": TEXT_FILE_TYPES,
"info": f"Supported file types: {', '.join(TEXT_FILE_TYPES)}",
},
"silent_errors": {
"display_name": "Silent Errors",
"advanced": True,
"info": "If true, errors will not raise an exception.",
},
}
def load_file(self, path: str, silent_errors: bool = False) -> Record:
resolved_path = self.resolve_path(path)
path_obj = Path(resolved_path)
extension = path_obj.suffix[1:].lower()
if extension == "doc":
raise ValueError("doc files are not supported. Please save as .docx")
if extension not in TEXT_FILE_TYPES:
raise ValueError(f"Unsupported file type: {extension}")
record = parse_text_file_to_record(resolved_path, silent_errors)
self.status = record if record else "No data"
return record or Record()
def build(
self,
path: str,
silent_errors: bool = False,
) -> Record:
record = self.load_file(path, silent_errors)
self.status = record
return record

137
src/backend/base/langflow/components/memories/ZepMessageReader.py Normal file
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@ -0,0 +1,137 @@
from typing import Optional, cast
from langchain_community.chat_message_histories.zep import SearchScope, SearchType, ZepChatMessageHistory
from langflow.base.memory.memory import BaseMemoryComponent
from langflow.field_typing import Text
from langflow.schema.schema import Record
class ZepMessageReaderComponent(BaseMemoryComponent):
display_name = "Zep Message Reader"
description = "Retrieves stored chat messages from Zep."
def build_config(self):
return {
"session_id": {
"display_name": "Session ID",
"info": "Session ID of the chat history.",
"input_types": ["Text"],
},
"url": {
"display_name": "Zep URL",
"info": "URL of the Zep instance.",
"input_types": ["Text"],
},
"api_key": {
"display_name": "Zep API Key",
"info": "API Key for the Zep instance.",
"password": True,
},
"query": {
"display_name": "Query",
"info": "Query to search for in the chat history.",
},
"metadata": {
"display_name": "Metadata",
"info": "Optional metadata to attach to the message.",
"advanced": True,
},
"search_scope": {
"options": ["Messages", "Summary"],
"display_name": "Search Scope",
"info": "Scope of the search.",
"advanced": True,
},
"search_type": {
"options": ["Similarity", "MMR"],
"display_name": "Search Type",
"info": "Type of search.",
"advanced": True,
},
"limit": {
"display_name": "Limit",
"info": "Limit of search results.",
"advanced": True,
},
}
def get_messages(self, **kwargs) -> list[Record]:
"""
Retrieves messages from the ZepChatMessageHistory memory.
If a query is provided, the search method is used to search for messages in the memory, otherwise all messages are returned.
Args:
memory (ZepChatMessageHistory): The ZepChatMessageHistory instance to retrieve messages from.
query (str, optional): The query string to search for messages. Defaults to None.
metadata (dict, optional): Additional metadata to filter the search results. Defaults to None.
search_scope (str, optional): The scope of the search. Can be 'messages' or 'summary'. Defaults to 'messages'.
search_type (str, optional): The type of search. Can be 'similarity' or 'exact'. Defaults to 'similarity'.
limit (int, optional): The maximum number of search results to return. Defaults to None.
Returns:
list[Record]: A list of Record objects representing the search results.
"""
memory: ZepChatMessageHistory = cast(ZepChatMessageHistory, kwargs.get("memory"))
if not memory:
raise ValueError("ZepChatMessageHistory instance is required.")
query = kwargs.get("query")
search_scope = kwargs.get("search_scope", SearchScope.messages).lower()
search_type = kwargs.get("search_type", SearchType.similarity).lower()
limit = kwargs.get("limit")
if query:
memory_search_results = memory.search(
query,
search_scope=search_scope,
search_type=search_type,
limit=limit,
)
# Get the messages from the search results if the search scope is messages
result_dicts = []
for result in memory_search_results:
result_dict = {}
if search_scope == SearchScope.messages:
result_dict["text"] = result.message
else:
result_dict["text"] = result.summary
result_dict["metadata"] = result.metadata
result_dict["score"] = result.score
result_dicts.append(result_dict)
results = [Record(data=result_dict) for result_dict in result_dicts]
else:
messages = memory.messages
results = [Record.from_lc_message(message) for message in messages]
return results
def build(
self,
session_id: Text,
url: Optional[Text] = None,
api_key: Optional[Text] = None,
query: Optional[Text] = None,
search_scope: SearchScope = SearchScope.messages,
search_type: SearchType = SearchType.similarity,
limit: Optional[int] = None,
) -> list[Record]:
try:
from zep_python import ZepClient
from zep_python.langchain import ZepChatMessageHistory
except ImportError:
raise ImportError(
"Could not import zep-python package. " "Please install it with `pip install zep-python`."
)
if url == "":
url = None
zep_client = ZepClient(api_url=url, api_key=api_key)
memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client)
records = self.get_messages(
memory=memory,
query=query,
search_scope=search_scope,
search_type=search_type,
limit=limit,
)
self.status = records
return records

96
src/backend/base/langflow/components/memories/ZepMessageWriter.py Normal file
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@ -0,0 +1,96 @@
from typing import Optional, TYPE_CHECKING
from langflow.base.memory.memory import BaseMemoryComponent
from langflow.field_typing import Text
from langflow.schema.schema import Record
if TYPE_CHECKING:
from zep_python.langchain import ZepChatMessageHistory
class ZepMessageWriterComponent(BaseMemoryComponent):
display_name = "Zep Message Writer"
description = "Writes a message to Zep."
def build_config(self):
return {
"session_id": {
"display_name": "Session ID",
"info": "Session ID of the chat history.",
"input_types": ["Text"],
},
"url": {
"display_name": "Zep URL",
"info": "URL of the Zep instance.",
"input_types": ["Text"],
},
"api_key": {
"display_name": "Zep API Key",
"info": "API Key for the Zep instance.",
"password": True,
},
"limit": {
"display_name": "Limit",
"info": "Limit of search results.",
"advanced": True,
},
"input_value": {
"display_name": "Input Record",
"info": "Record to write to Zep.",
},
}
def add_message(
self, sender: Text, sender_name: Text, text: Text, session_id: Text, metadata: dict | None = None, **kwargs
):
"""
Adds a message to the ZepChatMessageHistory memory.
Args:
sender (Text): The type of the message sender. Valid values are "Machine" or "User".
sender_name (Text): The name of the message sender.
text (Text): The content of the message.
session_id (Text): The session ID associated with the message.
metadata (dict | None, optional): Additional metadata for the message. Defaults to None.
**kwargs: Additional keyword arguments.
Raises:
ValueError: If the ZepChatMessageHistory instance is not provided.
"""
memory: ZepChatMessageHistory | None = kwargs.pop("memory", None)
if memory is None:
raise ValueError("ZepChatMessageHistory instance is required.")
if metadata is None:
metadata = {}
metadata["sender_name"] = sender_name
metadata.update(kwargs)
if sender == "Machine":
memory.add_ai_message(text, metadata=metadata)
elif sender == "User":
memory.add_user_message(text, metadata=metadata)
else:
raise ValueError(f"Invalid sender type: {sender}")
def build(
self,
input_value: Record,
session_id: Text,
url: Optional[Text] = None,
api_key: Optional[Text] = None,
) -> Record:
try:
from zep_python import ZepClient
from zep_python.langchain import ZepChatMessageHistory
except ImportError:
raise ImportError(
"Could not import zep-python package. " "Please install it with `pip install zep-python`."
)
if url == "":
url = None
zep_client = ZepClient(api_url=url, api_key=api_key)
memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client)
self.add_message(**input_value.data, memory=memory)
self.status = f"Added message to Zep memory for session {session_id}"
return input_value

2
src/backend/base/langflow/components/vectorsearch/WeaviateSearch.py
View file

@ -61,10 +61,10 @@ class WeaviateSearchVectorStore(WeaviateVectorStoreComponent, LCVectorStoreCompo
input_value: Text,
search_type: str,
url: str,
index_name: str,
number_of_results: int = 4,
search_by_text: bool = False,
api_key: Optional[str] = None,
index_name: Optional[str] = None,
text_key: str = "text",
embedding: Optional[Embeddings] = None,
attributes: Optional[list] = None,

9
src/backend/base/langflow/components/vectorstores/Weaviate.py
View file

@ -4,6 +4,7 @@ import weaviate # type: ignore
from langchain.embeddings.base import Embeddings
from langchain.schema import BaseRetriever
from langchain_community.vectorstores import VectorStore, Weaviate
from langchain_core.documents import Document
from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
@ -50,9 +51,9 @@ class WeaviateVectorStoreComponent(CustomComponent):
def build(
self,
url: str,
index_name: str,
search_by_text: bool = False,
api_key: Optional[str] = None,
index_name: Optional[str] = None,
text_key: str = "text",
embedding: Optional[Embeddings] = None,
inputs: Optional[Record] = None,
@ -78,11 +79,13 @@ class WeaviateVectorStoreComponent(CustomComponent):
return pascal_case_word
index_name = _to_pascal_case(index_name) if index_name else None
documents = []
if not index_name:
raise ValueError("Index name is required")
documents: list[Document] = []
for _input in inputs or []:
if isinstance(_input, Record):
documents.append(_input.to_lc_document())
else:
elif isinstance(_input, Document):
documents.append(_input)
if documents and embedding is not None:

2
src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json
View file

@ -377,7 +377,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langflow.field_typing import Text\nfrom langflow.helpers.record import records_to_text\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.memory import get_messages\n\n\nclass MemoryComponent(CustomComponent):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages given a specific Session ID.\"\n beta: bool = True\n icon = \"history\"\n\n def build_config(self):\n return {\n \"sender\": {\n \"options\": [\"Machine\", \"User\", \"Machine and User\"],\n \"display_name\": \"Sender Type\",\n },\n \"sender_name\": {\"display_name\": \"Sender Name\", \"advanced\": True},\n \"n_messages\": {\n \"display_name\": \"Number of Messages\",\n \"info\": \"Number of messages to retrieve.\",\n },\n \"session_id\": {\n \"display_name\": \"Session ID\",\n \"info\": \"Session ID of the chat history.\",\n \"input_types\": [\"Text\"],\n },\n \"order\": {\n \"options\": [\"Ascending\", \"Descending\"],\n \"display_name\": \"Order\",\n \"info\": \"Order of the messages.\",\n \"advanced\": True,\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n sender: Optional[str] = \"Machine and User\",\n sender_name: Optional[str] = None,\n session_id: Optional[str] = None,\n n_messages: int = 5,\n order: Optional[str] = \"Descending\",\n record_template: Optional[str] = \"{sender_name}: {text}\",\n ) -> Text:\n order = \"DESC\" if order == \"Descending\" else \"ASC\"\n if sender == \"Machine and User\":\n sender = None\n messages = get_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n messages_str = records_to_text(template=record_template or \"\", records=messages)\n self.status = messages_str\n return messages_str\n",
"value": "from typing import Optional\n\nfrom langflow.base.memory.memory import BaseMemoryComponent\nfrom langflow.field_typing import Text\nfrom langflow.helpers.record import records_to_text\nfrom langflow.memory import get_messages\nfrom langflow.schema.schema import Record\n\n\nclass MemoryComponent(BaseMemoryComponent):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages given a specific Session ID.\"\n beta: bool = True\n icon = \"history\"\n\n def build_config(self):\n return {\n \"sender\": {\n \"options\": [\"Machine\", \"User\", \"Machine and User\"],\n \"display_name\": \"Sender Type\",\n },\n \"sender_name\": {\"display_name\": \"Sender Name\", \"advanced\": True},\n \"n_messages\": {\n \"display_name\": \"Number of Messages\",\n \"info\": \"Number of messages to retrieve.\",\n },\n \"session_id\": {\n \"display_name\": \"Session ID\",\n \"info\": \"Session ID of the chat history.\",\n \"input_types\": [\"Text\"],\n },\n \"order\": {\n \"options\": [\"Ascending\", \"Descending\"],\n \"display_name\": \"Order\",\n \"info\": \"Order of the messages.\",\n \"advanced\": True,\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def get_messages(self, **kwargs) -> list[Record]:\n # Validate kwargs by checking if it contains the correct keys\n if \"sender\" not in kwargs:\n kwargs[\"sender\"] = None\n if \"sender_name\" not in kwargs:\n kwargs[\"sender_name\"] = None\n if \"session_id\" not in kwargs:\n kwargs[\"session_id\"] = None\n if \"limit\" not in kwargs:\n kwargs[\"limit\"] = 5\n if \"order\" not in kwargs:\n kwargs[\"order\"] = \"Descending\"\n\n kwargs[\"order\"] = \"DESC\" if kwargs[\"order\"] == \"Descending\" else \"ASC\"\n if kwargs[\"sender\"] == \"Machine and User\":\n kwargs[\"sender\"] = None\n return get_messages(**kwargs)\n\n def build(\n self,\n sender: Optional[str] = \"Machine and User\",\n sender_name: Optional[str] = None,\n session_id: Optional[str] = None,\n n_messages: int = 5,\n order: Optional[str] = \"Descending\",\n record_template: Optional[str] = \"{sender_name}: {text}\",\n ) -> Text:\n messages = self.get_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n messages_str = records_to_text(template=record_template or \"\", records=messages)\n self.status = messages_str\n return messages_str\n",
"fileTypes": [],
"file_path": "",
"password": false,

23
src/backend/base/langflow/interface/initialize/vector_store.py
View file

@ -227,34 +227,11 @@ def initialize_qdrant(class_object: Type[Qdrant], params: dict):
return class_object.from_documents(**params)
def initialize_elasticsearch(class_object: Type[ElasticsearchStore], params: dict):
"""Initialize elastic and return the class object"""
if "index_name" not in params:
raise ValueError("Elasticsearch Index must be provided in the params")
if "es_url" not in params:
raise ValueError("Elasticsearch URL must be provided in the params")
if not docs_in_params(params):
existing_index_params = {
"embedding": params.pop("embedding"),
}
if "index_name" in params:
existing_index_params["index_name"] = params.pop("index_name")
if "es_url" in params:
existing_index_params["es_url"] = params.pop("es_url")
return class_object.from_existing_index(**existing_index_params)
# If there are docs in the params, create a new index
if "texts" in params:
params["documents"] = params.pop("texts")
return class_object.from_documents(**params)
vecstore_initializer: Dict[str, Callable[[Type[Any], dict], Any]] = {
"Pinecone": initialize_pinecone,
"Chroma": initialize_chroma,
"Qdrant": initialize_qdrant,
"Weaviate": initialize_weaviate,
"ElasticsearchStore": initialize_elasticsearch,
"FAISS": initialize_faiss,
"SupabaseVectorStore": initialize_supabase,
"MongoDBAtlasVectorSearch": initialize_mongodb,

13
src/backend/base/langflow/processing/process.py
View file

@ -269,16 +269,19 @@ def process_tweaks(
:return: The modified graph_data dictionary.
:raises ValueError: If the input is not in the expected format.
"""
tweaks_dict = {}
if not isinstance(tweaks, dict):
tweaks = tweaks.model_dump()
if "stream" not in tweaks:
tweaks["stream"] = stream
nodes = validate_input(graph_data, tweaks)
tweaks_dict = tweaks.model_dump()
else:
tweaks_dict = tweaks
if "stream" not in tweaks_dict:
tweaks_dict["stream"] = stream
nodes = validate_input(graph_data, tweaks_dict)
nodes_map = {node.get("id"): node for node in nodes}
nodes_display_name_map = {node.get("data", {}).get("node", {}).get("display_name"): node for node in nodes}
all_nodes_tweaks = {}
for key, value in tweaks.items():
for key, value in tweaks_dict.items():
if isinstance(value, dict):
if node := nodes_map.get(key):
apply_tweaks(node, value)

9
src/backend/base/langflow/schema/schema.py
View file

@ -1,10 +1,9 @@
import copy
from typing import Literal, Optional
from typing import Literal, Optional, cast
from langchain_core.documents import Document
from langchain_core.messages import BaseMessage
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from pydantic import BaseModel, model_validator
from langchain_core.messages import HumanMessage, AIMessage, BaseMessage
class Record(BaseModel):
@ -67,8 +66,8 @@ class Record(BaseModel):
Returns:
Record: The converted Record.
"""
data = {"text": message.content}
data["metadata"] = message.to_json()
data: dict = {"text": message.content}
data["metadata"] = cast(dict, message.to_json())
return cls(data=data, text_key="text")
def __add__(self, other: "Record") -> "Record":

26
src/backend/base/langflow/services/store/service.py
View file

@ -49,6 +49,27 @@ async def user_data_context(store_service: "StoreService", api_key: Optional[str
user_data_var.set(None)
def get_id_from_search_string(search_string: str) -> Optional[str]:
"""
Extracts the ID from a search string.
Args:
search_string (str): The search string to extract the ID from.
Returns:
Optional[str]: The extracted ID, or None if no ID is found.
"""
possible_id = search_string
if "www.langflow.store/store/" in search_string:
possible_id = search_string.split("/")[-1]
try:
possible_id = UUID(search_string)
except ValueError:
possible_id = None
return possible_id
class StoreService(Service):
"""This is a service that integrates langflow with the store which
is a Directus instance. It allows to search, get and post components to
@ -183,7 +204,10 @@ class StoreService(Service):
):
filter_conditions = []
if search is not None:
if component_id is None:
component_id = get_id_from_search_string(search) if search else None
if search is not None and component_id is None:
search_conditions = self.build_search_filter_conditions(search)
filter_conditions.append(search_conditions)

215
src/backend/base/poetry.lock generated
View file

@ -624,13 +624,13 @@ gmpy2 = ["gmpy2"]
[[package]]
name = "emoji"
version = "2.11.0"
version = "2.11.1"
description = "Emoji for Python"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
files = [
{file = "emoji-2.11.0-py2.py3-none-any.whl", hash = "sha256:63fc9107f06c6c2e48e5078ce9575cef98518f5ac09474f6148a43e989989582"},
{file = "emoji-2.11.0.tar.gz", hash = "sha256:772eaa30f4e0b1ce95148a092df4c7dc97644532c03225326b0fd05e8a9f72a3"},
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]
[package.extras]
@ -638,13 +638,13 @@ dev = ["coverage", "coveralls", "pytest"]
[[package]]
name = "exceptiongroup"
version = "1.2.0"
version = "1.2.1"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
{file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
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{file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
]
[package.extras]
@ -652,13 +652,13 @@ test = ["pytest (>=6)"]
[[package]]
name = "fastapi"
version = "0.110.1"
version = "0.110.2"
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
optional = false
python-versions = ">=3.8"
files = [
{file = "fastapi-0.110.1-py3-none-any.whl", hash = "sha256:5df913203c482f820d31f48e635e022f8cbfe7350e4830ef05a3163925b1addc"},
{file = "fastapi-0.110.1.tar.gz", hash = "sha256:6feac43ec359dfe4f45b2c18ec8c94edb8dc2dfc461d417d9e626590c071baad"},
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{file = "fastapi-0.110.2.tar.gz", hash = "sha256:b53d673652da3b65e8cd787ad214ec0fe303cad00d2b529b86ce7db13f17518d"},
]
[package.dependencies]
@ -1064,19 +1064,19 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-community"
version = "0.0.33"
version = "0.0.34"
description = "Community contributed LangChain integrations."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_community-0.0.33-py3-none-any.whl", hash = "sha256:830f0d5f4ff9638b99ca01820c26abfa4b65fa705ef89b5ce55ac9aa3a7d83af"},
{file = "langchain_community-0.0.33.tar.gz", hash = "sha256:bb56dbc1ef11ca09f258468e11368781adda9219e144073e30cda69496d342b2"},
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{file = "langchain_community-0.0.34.tar.gz", hash = "sha256:96e9a807d9b4777820df5a970996f6bf3ad5632137bf0f4d863bd832bdeb2b0f"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
dataclasses-json = ">=0.5.7,<0.7"
langchain-core = ">=0.1.43,<0.2.0"
langchain-core = ">=0.1.45,<0.2.0"
langsmith = ">=0.1.0,<0.2.0"
numpy = ">=1,<2"
PyYAML = ">=5.3"
@ -1090,13 +1090,13 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.
[[package]]
name = "langchain-core"
version = "0.1.44"
version = "0.1.45"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_core-0.1.44-py3-none-any.whl", hash = "sha256:d8772dccef95fc97bfa2dcd19412e620ebe14def1f0e218374971f6e30a46a49"},
{file = "langchain_core-0.1.44.tar.gz", hash = "sha256:e313975d9ae2926342e6f2ad760338d31f18b1223e9b8b4dc408daeeade46a83"},
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]
[package.dependencies]
@ -1162,13 +1162,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langsmith"
version = "0.1.48"
version = "0.1.50"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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{file = "langsmith-0.1.48.tar.gz", hash = "sha256:9cd21cd0928123b2bd2363f03515cb1f6a833d9a9f00420240d5132861d15fcc"},
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{file = "langsmith-0.1.50.tar.gz", hash = "sha256:9fd22df8c689c044058536ea5af66f5302067e7551b60d7a335fede8d479572b"},
]
[package.dependencies]
@ -1943,18 +1943,19 @@ xmp = ["defusedxml"]
[[package]]
name = "platformdirs"
version = "4.2.0"
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
version = "4.2.1"
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
optional = false
python-versions = ">=3.8"
files = [
{file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
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]
[package.extras]
docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
type = ["mypy (>=1.8)"]
[[package]]
name = "pyasn1"
@ -1980,18 +1981,18 @@ files = [
[[package]]
name = "pydantic"
version = "2.7.0"
version = "2.7.1"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
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[package.dependencies]
annotated-types = ">=0.4.0"
pydantic-core = "2.18.1"
pydantic-core = "2.18.2"
typing-extensions = ">=4.6.1"
[package.extras]
@ -1999,90 +2000,90 @@ email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic-core"
version = "2.18.1"
version = "2.18.2"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
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]
[package.dependencies]

2
src/backend/base/pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow-base"
version = "0.0.36"
version = "0.0.37"
description = "A Python package with a built-in web application"
authors = ["Langflow <contact@langflow.org>"]
maintainers = [

633
src/frontend/package-lock.json generated
View file

File diff suppressed because it is too large Load diff

486
src/frontend/src/components/cardComponent/index.tsx
View file

@ -20,18 +20,21 @@ import {
CardHeader,
CardTitle,
} from "../ui/card";
import Loading from "../ui/loading";
export default function CollectionCardComponent({
data,
authorized = true,
disabled = false,
button,
onClick,
onDelete,
playground,
}: {
data: storeComponent;
authorized?: boolean;
disabled?: boolean;
onClick?: () => void;
button?: JSX.Element;
playground?: boolean;
onDelete?: () => void;
@ -40,6 +43,7 @@ export default function CollectionCardComponent({
const setSuccessData = useAlertStore((state) => state.setSuccessData);
const setErrorData = useAlertStore((state) => state.setErrorData);
const setValidApiKey = useStoreStore((state) => state.updateValidApiKey);
const cleanFlowPool = useFlowStore((state) => state.CleanFlowPool);
const isStore = false;
const [loading, setLoading] = useState(false);
const [loadingLike, setLoadingLike] = useState(false);
@ -51,6 +55,8 @@ export default function CollectionCardComponent({
data?.downloads_count ?? 0
);
const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
const setCurrentFlow = useFlowsManagerStore((state) => state.setCurrentFlow);
const getFlowById = useFlowsManagerStore((state) => state.getFlowById);
const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
const setNodes = useFlowStore((state) => state.setNodes);
const setEdges = useFlowStore((state) => state.setEdges);
@ -58,15 +64,28 @@ export default function CollectionCardComponent({
const setCurrentFlowId = useFlowsManagerStore(
(state) => state.setCurrentFlowId
);
const [loadingPlayground, setLoadingPlayground] = useState(false);
const name = data.is_component ? "Component" : "Flow";
async function getFlowData() {
const res = await getComponent(data.id);
const newFlow = cloneFLowWithParent(res, res.id, data.is_component, true);
return newFlow;
}
useEffect(() => {
if (currentFlowId && playground) {
setNodes(currentFlow?.data?.nodes ?? []);
setEdges(currentFlow?.data?.edges ?? []);
if (openPlayground) {
setNodes(currentFlow?.data?.nodes ?? [], true);
setEdges(currentFlow?.data?.edges ?? [], true);
} else {
setNodes([], true);
setEdges([], true);
cleanFlowPool();
}
}
}, [currentFlowId]);
}, [openPlayground]);
useEffect(() => {
if (data) {
@ -147,250 +166,325 @@ export default function CollectionCardComponent({
}
return (
<Card
className={cn(
"group relative flex min-h-[11rem] flex-col justify-between overflow-hidden transition-all hover:shadow-md",
disabled ? "pointer-events-none opacity-50" : ""
)}
>
<div>
<CardHeader>
<div>
<CardTitle className="flex w-full items-center justify-between gap-3 text-xl">
<IconComponent
className={cn(
"flex-shrink-0",
data.is_component
? "mx-0.5 h-6 w-6 text-component-icon"
: "h-7 w-7 flex-shrink-0 text-flow-icon"
)}
name={data.is_component ? "ToyBrick" : "Group"}
/>
<ShadTooltip content={data.name}>
<div className="w-full truncate">{data.name}</div>
</ShadTooltip>
{data?.metadata !== undefined && (
<div className="flex gap-3">
{data.private && (
<ShadTooltip content="Private">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="Lock" className="h-4 w-4" />
</span>
</ShadTooltip>
<>
<Card
className={cn(
"group relative flex min-h-[11rem] flex-col justify-between overflow-hidden transition-all hover:shadow-md",
disabled ? "pointer-events-none opacity-50" : "",
onClick ? "cursor-pointer" : ""
)}
onClick={onClick}
>
<div>
<CardHeader>
<div>
<CardTitle className="flex w-full items-center justify-between gap-3 text-xl">
<IconComponent
className={cn(
"flex-shrink-0",
data.is_component
? "mx-0.5 h-6 w-6 text-component-icon"
: "h-7 w-7 flex-shrink-0 text-flow-icon"
)}
{!data.is_component && (
<ShadTooltip content="Components">
name={data.is_component ? "ToyBrick" : "Group"}
/>
<ShadTooltip content={data.name}>
<div className="w-full truncate">{data.name}</div>
</ShadTooltip>
{data?.metadata !== undefined && (
<div className="flex gap-3">
{data.private && (
<ShadTooltip content="Private">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="Lock" className="h-4 w-4" />
</span>
</ShadTooltip>
)}
{!data.is_component && (
<ShadTooltip content="Components">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="ToyBrick" className="h-4 w-4" />
<span data-testid={`total-${data.name}`}>
{data?.metadata?.total ?? 0}
</span>
</span>
</ShadTooltip>
)}
<ShadTooltip content="Likes">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="ToyBrick" className="h-4 w-4" />
<span data-testid={`total-${data.name}`}>
{data?.metadata?.total ?? 0}
<IconComponent
name="Heart"
className={cn("h-4 w-4 ")}
/>
<span data-testid={`likes-${data.name}`}>
{likes_count ?? 0}
</span>
</span>
</ShadTooltip>
)}
<ShadTooltip content="Likes">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="Heart" className={cn("h-4 w-4 ")} />
<span data-testid={`likes-${data.name}`}>
{likes_count ?? 0}
<ShadTooltip content="Downloads">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent
name="DownloadCloud"
className="h-4 w-4"
/>
<span data-testid={`downloads-${data.name}`}>
{downloads_count ?? 0}
</span>
</span>
</span>
</ShadTooltip>
<ShadTooltip content="Downloads">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="DownloadCloud" className="h-4 w-4" />
<span data-testid={`downloads-${data.name}`}>
{downloads_count ?? 0}
</span>
</span>
</ShadTooltip>
</div>
)}
</ShadTooltip>
</div>
)}
{onDelete && data?.metadata === undefined && (
<DeleteConfirmationModal
onConfirm={() => {
onDelete();
{onDelete && data?.metadata === undefined && (
<DeleteConfirmationModal
onConfirm={() => {
onDelete();
}}
>
<IconComponent
name="Trash2"
className="h-5 w-5 text-primary opacity-0 transition-all hover:text-destructive group-hover:opacity-100"
/>
</DeleteConfirmationModal>
)}
</CardTitle>
</div>
<div className="flex gap-2">
{data.user_created && data.user_created.username && (
<span className="text-sm text-primary">
by <b>{data.user_created.username}</b>
{data.last_tested_version && (
<>
{" "}
|{" "}
<span className="text-xs">
{" "}
⛓︎ v{data.last_tested_version}
</span>
</>
)}
</span>
)}
<div className="flex w-full flex-1 flex-wrap gap-2">
{data.tags &&
data.tags.length > 0 &&
data.tags.map((tag, index) => (
<Badge
key={index}
variant="outline"
size="xq"
className="text-muted-foreground"
>
{tag.name}
</Badge>
))}
</div>
</div>
<CardDescription className="pb-2 pt-2">
<div className="truncate-doubleline">{data.description}</div>
</CardDescription>
</CardHeader>
</div>
<CardFooter>
<div className="flex w-full items-center justify-between gap-2">
<div className="flex w-full flex-wrap items-end justify-between gap-2">
{playground && data?.metadata !== undefined ? (
<Button
disabled={loadingPlayground}
key={data.id}
tabIndex={-1}
variant="outline"
size="sm"
className="gap-2 whitespace-nowrap"
data-testid={"playground-flow-button-" + data.id}
onClick={(e) => {
e.preventDefault();
e.stopPropagation();
setLoadingPlayground(true);
if (getFlowById(data.id)) {
setCurrentFlowId(data.id);
setOpenPlayground(true);
setLoadingPlayground(false);
} else {
getFlowData().then((res) => {
setCurrentFlow(res);
setOpenPlayground(true);
setLoadingPlayground(false);
});
}
}}
>
<IconComponent
name="Trash2"
className="h-5 w-5 text-primary opacity-0 transition-all hover:text-destructive group-hover:opacity-100"
/>
</DeleteConfirmationModal>
{!loadingPlayground ? (
<IconComponent
name="BotMessageSquareIcon"
className="h-4 w-4 select-none"
/>
) : (
<Loading className="h-4 w-4 text-medium-indigo" />
)}
Playground
</Button>
) : (
<div></div>
)}
</CardTitle>
</div>
{data.user_created && data.user_created.username && (
<span className="text-sm text-primary">
by <b>{data.user_created.username}</b>
{data.last_tested_version && (
<>
{" "}
|{" "}
<span className="text-xs">
{" "}
⛓︎ v{data.last_tested_version}
</span>
</>
)}
</span>
)}
<CardDescription className="pb-2 pt-2">
<div className="truncate-doubleline">{data.description}</div>
</CardDescription>
</CardHeader>
</div>
<CardFooter>
<div className="flex w-full items-center justify-between gap-2">
<div className="flex w-full flex-wrap items-end justify-between gap-2">
<div className="flex w-full flex-1 flex-wrap gap-2">
{data.tags &&
data.tags.length > 0 &&
data.tags.map((tag, index) => (
<Badge
key={index}
variant="outline"
size="xq"
className="text-muted-foreground"
>
{tag.name}
</Badge>
))}
</div>
{data.liked_by_count != undefined && (
<div className="flex gap-0.5">
{onDelete && data?.metadata !== undefined ? (
<ShadTooltip
content={
authorized ? "Delete" : "Please review your API key."
}
>
<DeleteConfirmationModal
onConfirm={() => {
onDelete();
}}
{data.liked_by_count != undefined && (
<div className="flex gap-0.5">
{onDelete && data?.metadata !== undefined ? (
<ShadTooltip
content={
authorized ? "Delete" : "Please review your API key."
}
>
<DeleteConfirmationModal
onConfirm={() => {
onDelete();
}}
>
<Button
variant="ghost"
size="icon"
className={
"whitespace-nowrap" +
(!authorized ? " cursor-not-allowed" : "")
}
>
<IconComponent
name="Trash2"
className={cn(
"h-5 w-5",
!authorized ? " text-ring" : ""
)}
/>
</Button>
</DeleteConfirmationModal>
</ShadTooltip>
) : (
<ShadTooltip
content={
authorized ? "Like" : "Please review your API key."
}
>
<Button
disabled={loadingLike}
variant="ghost"
size="icon"
className={
"whitespace-nowrap" +
(!authorized ? " cursor-not-allowed" : "")
}
onClick={() => {
if (!authorized) {
return;
}
handleLike();
}}
data-testid={`like-${data.name}`}
>
<IconComponent
name="Trash2"
name="Heart"
className={cn(
"h-5 w-5",
liked_by_user
? "fill-destructive stroke-destructive"
: "",
!authorized ? " text-ring" : ""
)}
/>
</Button>
</DeleteConfirmationModal>
</ShadTooltip>
) : (
</ShadTooltip>
)}
<ShadTooltip
content={
authorized ? "Like" : "Please review your API key."
authorized
? isStore
? "Download"
: "Install Locally"
: "Please review your API key."
}
>
<Button
disabled={loadingLike}
disabled={loading}
variant="ghost"
size="icon"
className={
"whitespace-nowrap" +
(!authorized ? " cursor-not-allowed" : "")
(!authorized ? " cursor-not-allowed" : "") +
(!loading ? " p-0.5" : "")
}
onClick={() => {
if (!authorized) {
if (loading || !authorized) {
return;
}
handleLike();
handleInstall();
}}
data-testid={`like-${data.name}`}
data-testid={`install-${data.name}`}
>
<IconComponent
name="Heart"
name={
loading ? "Loader2" : isStore ? "Download" : "Plus"
}
className={cn(
"h-5 w-5",
liked_by_user
? "fill-destructive stroke-destructive"
: "",
loading ? "h-5 w-5 animate-spin" : "h-5 w-5",
!authorized ? " text-ring" : ""
)}
/>
</Button>
</ShadTooltip>
)}
<ShadTooltip
content={
authorized
? isStore
? "Download"
: "Install Locally"
: "Please review your API key."
}
>
<Button
disabled={loading}
variant="ghost"
size="icon"
className={
"whitespace-nowrap" +
(!authorized ? " cursor-not-allowed" : "") +
(!loading ? " p-0.5" : "")
</div>
)}
{button && button}
{playground && data?.metadata === undefined && (
<Button
disabled={loadingPlayground}
key={data.id}
tabIndex={-1}
variant="outline"
size="sm"
className="gap-2 whitespace-nowrap"
data-testid={"playground-flow-button-" + data.id}
onClick={(e) => {
e.preventDefault();
e.stopPropagation();
setLoadingPlayground(true);
if (getFlowById(data.id)) {
setCurrentFlowId(data.id);
setOpenPlayground(true);
setLoadingPlayground(false);
} else {
getFlowData().then((res) => {
setCurrentFlow(res);
setOpenPlayground(true);
setLoadingPlayground(false);
});
}
onClick={() => {
if (loading || !authorized) {
return;
}
handleInstall();
}}
data-testid={`install-${data.name}`}
>
}}
>
{!loadingPlayground ? (
<IconComponent
name={loading ? "Loader2" : isStore ? "Download" : "Plus"}
className={cn(
loading ? "h-5 w-5 animate-spin" : "h-5 w-5",
!authorized ? " text-ring" : ""
)}
name="BotMessageSquareIcon"
className="h-4 w-4 select-none"
/>
</Button>
</ShadTooltip>
</div>
)}
{button && button}
{playground && (
<Button
tabIndex={-1}
variant="outline"
size="sm"
className="whitespace-nowrap "
data-testid={"playground-flow-button-" + data.id}
onClick={() => {
setCurrentFlowId(data.id);
setOpenPlayground(true);
}}
>
<IconComponent
name="ExternalLink"
className="main-page-nav-button select-none"
/>
Playground
{openPlayground && (
<IOModal open={openPlayground} setOpen={setOpenPlayground}>
<></>
</IOModal>
)}
</Button>
)}
) : (
<Loading className="h-4 w-4 text-medium-indigo" />
)}
Playground
</Button>
)}
</div>
</div>
</div>
</CardFooter>
</Card>
</CardFooter>
</Card>
{openPlayground && (
<IOModal
cleanOnClose={true}
open={openPlayground}
setOpen={setOpenPlayground}
>
<></>
</IOModal>
)}
</>
);
}

10
src/frontend/src/components/chatComponent/index.tsx
View file

@ -87,15 +87,15 @@ export default function FlowToolbar(): JSX.Element {
}
>
<div className="flex">
<div className="flex h-full w-full gap-1 rounded-sm text-medium-indigo transition-all">
<div className="flex h-full w-full gap-1 rounded-sm transition-all">
{hasIO ? (
<IOModal open={open} setOpen={setOpen} disable={!hasIO}>
<div className="relative inline-flex w-full items-center justify-center gap-1 px-5 py-3 text-sm font-semibold text-medium-indigo transition-all transition-all duration-500 ease-in-out ease-in-out hover:bg-hover">
<div className="relative inline-flex w-full items-center justify-center gap-1 px-5 py-3 text-sm font-semibold transition-all duration-500 ease-in-out hover:bg-hover">
<ForwardedIconComponent
name="Zap"
className={"message-button-icon h-5 w-5 transition-all"}
name="BotMessageSquareIcon"
className={" h-5 w-5 transition-all"}
/>
Run
Playground
</div>
</IOModal>
) : (

19
src/frontend/src/controllers/API/index.ts
View file

@ -1,5 +1,5 @@
import { AxiosResponse } from "axios";
import { ReactFlowJsonObject } from "reactflow";
import { AxiosRequestConfig, AxiosResponse } from "axios";
import { Edge, ReactFlowJsonObject,Node } from "reactflow";
import { BASE_URL_API } from "../../constants/constants";
import { api } from "../../controllers/API/api";
import {
@ -906,17 +906,26 @@ export async function updateGlobalVariable(
export async function getVerticesOrder(
flowId: string,
startNodeId?: string | null,
stopNodeId?: string | null
stopNodeId?: string | null,
nodes?:Node[],
Edges?:Edge[]
): Promise<AxiosResponse<VerticesOrderTypeAPI>> {
// nodeId is optional and is a query parameter
// if nodeId is not provided, the API will return all vertices
const config = {};
const config:AxiosRequestConfig<any> = {};
if (stopNodeId) {
config["params"] = { stop_component_id: stopNodeId };
} else if (startNodeId) {
config["params"] = { start_component_id: startNodeId };
}
return await api.get(`${BASE_URL_API}build/${flowId}/vertices`, config);
const data = {
data:{}
}
if(nodes && Edges){
data["data"]["nodes"] = nodes
data["data"]["edges"] = Edges
}
return await api.post(`${BASE_URL_API}build/${flowId}/vertices`,data, config);
}
export async function postBuildVertex(

10
src/frontend/src/modals/IOModal/index.tsx
View file

@ -83,12 +83,6 @@ export default function IOModal({
return updateVerticesOrder(currentFlow!.id, null);
}
useEffect(() => {
if (open) {
updateVertices();
}
}, [open, currentFlow]);
async function sendMessage(count = 1): Promise<void> {
if (isBuilding) return;
setIsBuilding(true);
@ -132,9 +126,9 @@ export default function IOModal({
{/* TODO ADAPT TO ALL TYPES OF INPUTS AND OUTPUTS */}
<BaseModal.Header description={CHAT_FORM_DIALOG_SUBTITLE}>
<div className="flex items-center">
<span className="pr-2">Interaction Panel</span>
<span className="pr-2">Playground</span>
<IconComponent
name="prompts"
name="BotMessageSquareIcon"
className="h-6 w-6 pl-1 text-foreground"
aria-hidden="true"
/>

4
src/frontend/src/modals/StoreApiKeyModal/index.tsx
View file

@ -86,6 +86,7 @@ export default function StoreApiKeyModal({
<Form.Root
onSubmit={(event) => {
event.preventDefault();
handleSaveKey();
}}
>
<div className="grid gap-5">
@ -131,9 +132,6 @@ export default function StoreApiKeyModal({
<Button
data-testid="api-key-save-button-store"
className="mt-8"
onClick={() => {
handleSaveKey();
}}
>
Save
</Button>

7
src/frontend/src/pages/FlowPage/index.tsx
View file

@ -6,18 +6,25 @@ import { useDarkStore } from "../../stores/darkStore";
import useFlowsManagerStore from "../../stores/flowsManagerStore";
import Page from "./components/PageComponent";
import ExtraSidebar from "./components/extraSidebarComponent";
import useFlowStore from "../../stores/flowStore";
export default function FlowPage({ view }: { view?: boolean }): JSX.Element {
const setCurrentFlowId = useFlowsManagerStore(
(state) => state.setCurrentFlowId
);
const version = useDarkStore((state) => state.version);
const setOnFlowPage = useFlowStore((state) => state.setOnFlowPage);
const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
const { id } = useParams();
// Set flow tab id
useEffect(() => {
setCurrentFlowId(id!);
setOnFlowPage(true);
return () => {
setOnFlowPage(false);
};
}, [id]);
return (
<>

29
src/frontend/src/pages/MainPage/components/components/index.tsx
View file

@ -56,7 +56,7 @@ export default function ComponentsComponent({
const start = (pageIndex - 1) * pageSize;
const end = start + pageSize;
setData(all.slice(start, end));
}, [flows, isLoading, pageIndex, pageSize]);
}, [flows,isLoading, pageIndex, pageSize]);
const [data, setData] = useState<FlowType[]>([]);
@ -146,30 +146,11 @@ export default function ComponentsComponent({
}}
key={idx}
data={item}
disabled={isLoading}
button={
!is_component ? (
<Link to={"/flow/" + item.id}>
<Button
tabIndex={-1}
variant="outline"
size="sm"
className="whitespace-nowrap "
data-testid={
"edit-flow-button-" + item.id + "-" + idx
}
>
<IconComponent
name="ExternalLink"
className="main-page-nav-button select-none"
/>
Edit Flow
</Button>
</Link>
) : (
<></>
)
data-testid={
"edit-flow-button-" + item.id + "-" + idx
}
onClick={!is_component ? () => {navigate("/flow/" + item.id);} : undefined}
disabled={isLoading}
playground={!is_component}
/>
))

64
src/frontend/src/pages/Playground/index.tsx Normal file
View file

@ -0,0 +1,64 @@
import { useEffect, useState } from "react";
import { useParams } from "react-router-dom";
import useFlowsManagerStore from "../../stores/flowsManagerStore";
import { getComponent } from "../../controllers/API";
import cloneFLowWithParent from "../../utils/storeUtils";
import LoadingComponent from "../../components/loadingComponent";
import useFlowStore from "../../stores/flowStore";
import IOModal from "../../modals/IOModal";
export default function PlaygroundPage() {
const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
const getFlowById = useFlowsManagerStore((state) => state.getFlowById);
const setCurrentFlowId = useFlowsManagerStore((state) => state.setCurrentFlowId);
const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
const setCurrentFlow = useFlowsManagerStore((state) => state.setCurrentFlow);
const setNodes = useFlowStore((state) => state.setNodes);
const setEdges = useFlowStore((state) => state.setEdges);
const cleanFlowPool = useFlowStore((state) => state.CleanFlowPool);
const { id } = useParams();
const [loading, setLoading] = useState(true);
async function getFlowData() {
const res = await getComponent(id!);
const newFlow = cloneFLowWithParent(res, res.id, false, true);
return newFlow;
}
// Set flow tab id
useEffect(() => {
console.log("id", id);
if (getFlowById(id!)) {
setCurrentFlowId(id!);
}
else {
getFlowData().then((flow) => {
setCurrentFlow(flow);
});
}
}, [id]);
useEffect(() => {
if (currentFlow) {
setNodes(currentFlow?.data?.nodes ?? [], true);
setEdges(currentFlow?.data?.edges ?? [], true);
cleanFlowPool();
setLoading(false);
}
return () => {
setNodes([], true);
setEdges([], true);
cleanFlowPool();
};
}, [currentFlow]);
return (
<div className="w-full h-full flex flex-col align-middle items-center justify-center">
{loading ? <div><LoadingComponent remSize={24}></LoadingComponent></div> :
<IOModal open={true}setOpen={()=>{}} isPlayground>
<></>
</IOModal>}
</div>
)
}

13
src/frontend/src/pages/StorePage/index.tsx
View file

@ -9,7 +9,7 @@ import { SkeletonCardComponent } from "../../components/skeletonCardComponent";
import { Button } from "../../components/ui/button";
import { Input } from "../../components/ui/input";
import { Link, useParams } from "react-router-dom";
import { Link, useNavigate, useParams } from "react-router-dom";
import { TagsSelector } from "../../components/tagsSelectorComponent";
import { Badge } from "../../components/ui/badge";
import {
@ -65,6 +65,8 @@ export default function StorePage(): JSX.Element {
const [searchNow, setSearchNow] = useState("");
const [selectFilter, setSelectFilter] = useState("all");
const navigate = useNavigate();
useEffect(() => {
if (!loadingApiKey) {
if (!hasApiKey) {
@ -149,6 +151,11 @@ export default function StorePage(): JSX.Element {
.catch((err) => {
if (err.response?.status === 403 || err.response?.status === 401) {
setValidApiKey(false);
} else if (
err.response?.data?.detail ===
"Unexpected error: Object of type UUID is not JSON serializable"
) {
navigate("/store/" + inputText);
} else {
setSearchData([]);
setTotalRowsCount(0);
@ -371,6 +378,10 @@ export default function StorePage(): JSX.Element {
data={item}
authorized={validApiKey}
disabled={loading}
playground={
item.last_tested_version?.includes("1.0.0") &&
!item.is_component
}
/>
</>
);

9
src/frontend/src/routes.tsx
View file

@ -17,6 +17,7 @@ import ViewPage from "./pages/ViewPage";
import DeleteAccountPage from "./pages/deleteAccountPage";
import LoginPage from "./pages/loginPage";
import SignUp from "./pages/signUpPage";
import PlaygroundPage from "./pages/Playground";
const Router = () => {
const navigate = useNavigate();
@ -65,7 +66,13 @@ const Router = () => {
</ProtectedRoute>
}
/>
<Route path="/playground/:id/">
element={
<Route path="" element={<ProtectedRoute>
<PlaygroundPage />
</ProtectedRoute>} />
}
</Route>
<Route path="/flow/:id/">
<Route
path=""

13
src/frontend/src/stores/flowStore.ts
View file

@ -44,9 +44,12 @@ import { getInputsAndOutputs } from "../utils/storeUtils";
import useAlertStore from "./alertStore";
import { useDarkStore } from "./darkStore";
import useFlowsManagerStore from "./flowsManagerStore";
import FlowPage from "../pages/FlowPage";
// this is our useStore hook that we can use in our components to get parts of the store and call actions
const useFlowStore = create<FlowStoreType>((set, get) => ({
onFlowPage: false,
setOnFlowPage:(FlowPage=>set({onFlowPage:FlowPage})),
flowState: undefined,
flowBuildStatus: {},
nodes: [],
@ -149,7 +152,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
edges: applyEdgeChanges(changes, get().edges),
});
},
setNodes: (change) => {
setNodes: (change,skipSave=false) => {
let newChange = typeof change === "function" ? change(get().nodes) : change;
let newEdges = cleanEdges(newChange, get().edges);
const { inputs, outputs } = getInputsAndOutputs(newChange);
@ -164,7 +167,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
});
const flowsManager = useFlowsManagerStore.getState();
if (!get().isBuilding) {
if (!get().isBuilding && !skipSave && get().onFlowPage) {
flowsManager.autoSaveCurrentFlow(
newChange,
newEdges,
@ -172,7 +175,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
);
}
},
setEdges: (change) => {
setEdges: (change,skipSave=false) => {
let newChange = typeof change === "function" ? change(get().edges) : change;
set({
edges: newChange,
@ -180,7 +183,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
});
const flowsManager = useFlowsManagerStore.getState();
if (!get().isBuilding) {
if (!get().isBuilding && !skipSave && get().onFlowPage) {
flowsManager.autoSaveCurrentFlow(
get().nodes,
newChange,
@ -560,6 +563,8 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
useFlowStore.getState().updateBuildStatus(idList, BuildStatus.BUILDING);
},
onValidateNodes: validateSubgraph,
nodes: !get().onFlowPage ? get().nodes : undefined,
edges: !get().onFlowPage ? get().edges : undefined,
});
get().setIsBuilding(false);
get().revertBuiltStatusFromBuilding();

10
src/frontend/src/stores/flowsManagerStore.ts
View file

@ -46,6 +46,16 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
set({ examples });
},
currentFlowId: "",
setCurrentFlow: (flow: FlowType) => {
set((state) => ({
currentFlow: flow,
currentFlowId: flow.id,
}));
},
getFlowById: (id: string) => {
return get().flows.find((flow) => flow.id === id);
},
setCurrentFlowId: (currentFlowId: string) => {
set((state) => ({
currentFlowId,

2
src/frontend/src/types/components/index.ts
View file

@ -594,6 +594,8 @@ export type IOModalPropsType = {
open: boolean;
setOpen: (open: boolean) => void;
disable?: boolean;
isPlayground?: boolean;
cleanOnClose?: boolean;
};
export type buttonBoxPropsType = {

6
src/frontend/src/types/zustand/flow/index.ts
View file

@ -45,6 +45,8 @@ export type FlowPoolType = {
};
export type FlowStoreType = {
onFlowPage: boolean;
setOnFlowPage: (onFlowPage: boolean) => void;
flowPool: FlowPoolType;
inputs: Array<{ type: string; id: string; displayName: string }>;
outputs: Array<{ type: string; id: string; displayName: string }>;
@ -74,8 +76,8 @@ export type FlowStoreType = {
edges: Edge[];
onNodesChange: OnNodesChange;
onEdgesChange: OnEdgesChange;
setNodes: (update: Node[] | ((oldState: Node[]) => Node[])) => void;
setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[])) => void;
setNodes: (update: Node[] | ((oldState: Node[]) => Node[]),skipSave?:boolean) => void;
setEdges: (update: Edge[] | ((oldState: Edge[]) => Edge[]),skipSave?:boolean) => void;
setNode: (id: string, update: Node | ((oldState: Node) => Node)) => void;
getNode: (id: string) => Node | undefined;
deleteNode: (nodeId: string | Array<string>) => void;

2
src/frontend/src/types/zustand/flowsManager/index.ts
View file

@ -2,6 +2,7 @@ import { Edge, Node, Viewport, XYPosition } from "reactflow";
import { FlowType } from "../../flow";
export type FlowsManagerStoreType = {
getFlowById: (id: string) => FlowType | undefined;
flows: Array<FlowType>;
setFlows: (flows: FlowType[]) => void;
currentFlow: FlowType | undefined;
@ -50,6 +51,7 @@ export type FlowsManagerStoreType = {
takeSnapshot: () => void;
examples: Array<FlowType>;
setExamples: (examples: FlowType[]) => void;
setCurrentFlow: (flow: FlowType) => void;
};
export type UseUndoRedoOptions = {

15
src/frontend/src/utils/buildUtils.ts
View file

@ -5,6 +5,7 @@ import useAlertStore from "../stores/alertStore";
import useFlowStore from "../stores/flowStore";
import { VertexBuildTypeAPI } from "../types/api";
import { VertexLayerElementType } from "../types/zustand/flow";
import { Edge, Node } from "reactflow";
type BuildVerticesParams = {
flowId: string; // Assuming FlowType is the type for your flow
@ -21,6 +22,8 @@ type BuildVerticesParams = {
onBuildError?: (title, list, idList: VertexLayerElementType[]) => void;
onBuildStart?: (idList: VertexLayerElementType[]) => void;
onValidateNodes?: (nodes: string[]) => void;
nodes?: Node[];
edges?: Edge[];
};
function getInactiveVertexData(vertexId: string): VertexBuildTypeAPI {
@ -48,7 +51,9 @@ function getInactiveVertexData(vertexId: string): VertexBuildTypeAPI {
export async function updateVerticesOrder(
flowId: string,
startNodeId?: string | null,
stopNodeId?: string | null
stopNodeId?: string | null,
nodes?:Node[],
edges?:Edge[]
): Promise<{
verticesLayers: VertexLayerElementType[][];
verticesIds: string[];
@ -59,7 +64,7 @@ export async function updateVerticesOrder(
const setErrorData = useAlertStore.getState().setErrorData;
let orderResponse;
try {
orderResponse = await getVerticesOrder(flowId, startNodeId, stopNodeId);
orderResponse = await getVerticesOrder(flowId, startNodeId, stopNodeId, nodes, edges);
} catch (error: any) {
setErrorData({
title: "Oops! Looks like you missed something",
@ -101,6 +106,8 @@ export async function buildVertices({
onBuildError,
onBuildStart,
onValidateNodes,
nodes,
edges,
}: BuildVerticesParams) {
let verticesBuild = useFlowStore.getState().verticesBuild;
// if startNodeId and stopNodeId are provided
@ -113,7 +120,9 @@ export async function buildVertices({
let verticesOrderResponse = await updateVerticesOrder(
flowId,
startNodeId,
stopNodeId
stopNodeId,
nodes,
edges
);
if (onValidateNodes) {
try {

12
src/frontend/src/utils/storeUtils.ts
View file

@ -1,4 +1,4 @@
import { cloneDeep } from "lodash";
import { cloneDeep, uniqueId } from "lodash";
import { Node } from "reactflow";
import { FlowType, NodeDataType } from "../types/flow";
import { isInputNode, isOutputNode } from "./reactflowUtils";
@ -6,11 +6,17 @@ import { isInputNode, isOutputNode } from "./reactflowUtils";
export default function cloneFLowWithParent(
flow: FlowType,
parent: string,
is_component: boolean
is_component: boolean,
keepId=false
) {
let childFLow = cloneDeep(flow);
childFLow.parent = parent;
childFLow.id = "";
if(!keepId){
childFLow.id = "";
}
else{
childFLow.id = uniqueId()+"-"+childFLow.id;
}
childFLow.is_component = is_component;
return childFLow;
}

6
src/frontend/src/utils/styleUtils.ts
View file

@ -136,6 +136,7 @@ import {
X,
XCircle,
Zap,
PlaySquare
} from "lucide-react";
import { FaApple, FaGithub } from "react-icons/fa";
import { AWSIcon } from "../icons/AWS";
@ -144,7 +145,7 @@ import { AnthropicIcon } from "../icons/Anthropic";
import { AstraDBIcon } from "../icons/AstraDB";
import { AzureIcon } from "../icons/Azure";
import { BingIcon } from "../icons/Bing";
import { BotMessageSquareIcon } from "../icons/BotMessageSquare";
import { BotMessageSquareIcon} from "../icons/BotMessageSquare";
import { ChromaIcon } from "../icons/ChromaIcon";
import { CohereIcon } from "../icons/Cohere";
import { ElasticsearchIcon } from "../icons/ElasticsearchStore";
@ -292,7 +293,8 @@ export const nodeIconsLucide: iconsType = {
ListFlows: Group,
ClearMessageHistory: FileClock,
Python: PythonIcon,
ChatOutput: BotMessageSquareIcon,
ChatOutput: MessagesSquare,
BotMessageSquareIcon,
ChatInput: MessagesSquare,
inputs: Download,
outputs: Upload,