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Merge branch 'dev' into introduction-quickstart-install

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This commit is contained in:
Mendon Kissling 2024-04-26 09:43:17 -04:00
commit 3c8dc0388a
35 changed files with 2282 additions and 781 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"

2
scripts/gcp/deploy_langflow_gcp.sh
View file

@ -35,7 +35,7 @@ fi
# Create a firewall rule to allow IAP traffic
firewall_iap_exists=$(gcloud compute firewall-rules list --filter="name=allow-iap" --format="value(name)")
if [[ -z "$firewall_iap_exists" ]]; then
gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443,tcp:22,:tcp:3389 --source-ranges 35.235.240.0/20 --direction INGRESS
gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443,tcp:22,tcp:3389 --source-ranges 35.235.240.0/20 --direction INGRESS
fi
# Define the startup script as a multiline Bash here-doc

2
src/backend/base/langflow/api/v1/endpoints.py
View file

@ -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
View file

@ -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
View file

@ -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,

137
src/backend/base/langflow/components/memories/ZepMessageReader.py Normal file
View file

@ -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":

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"},
{file = "emoji-2.11.1-py2.py3-none-any.whl", hash = "sha256:b7ba25299bbf520cc8727848ae66b986da32aee27dc2887eaea2bff07226ce49"},
{file = "emoji-2.11.1.tar.gz", hash = "sha256:062ff0b3154b6219143f8b9f4b3e5c64c35bc2b146e6e2349ab5f29e218ce1ee"},
]
[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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]
[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 = [

4
src/frontend/.gitignore vendored
View file

@ -28,3 +28,7 @@ yarn-error.log*
/playwright-report/
/blob-report/
/playwright/.cache/
/test-results/
/playwright-report/
/blob-report/
/playwright/.cache/

603
src/frontend/package-lock.json generated
View file

@ -31,6 +31,7 @@
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"@types/axios": "^0.14.0",
"ace-builds": "^1.24.1",
"ag-grid-react": "^31.2.1",
"ansi-to-html": "^0.7.2",
"axios": "^1.5.0",
"base64-js": "^1.5.1",
@ -40,11 +41,13 @@
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"lodash": "^4.17.21",
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"million": "^3.0.6",
"moment": "^2.29.4",
"openseadragon": "^4.1.1",
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"react": "^18.2.0",
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@ -54,6 +57,7 @@
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"react-markdown": "^8.0.7",
"react-pdf": "^7.7.1",
"react-router-dom": "^6.15.0",
"react-syntax-highlighter": "^15.5.0",
"react18-json-view": "^0.2.3",
@ -71,7 +75,7 @@
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},
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@ -1059,6 +1063,59 @@
"@jridgewell/sourcemap-codec": "^1.4.14"
}
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},
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},
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},
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}
},
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"resolved": "https://registry.npmjs.org/@million/lint/-/lint-0.0.73.tgz",
@ -1759,12 +1816,12 @@
}
},
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"resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.42.1.tgz",
"integrity": "sha512-Gq9rmS54mjBL/7/MvBaNOBwbfnh7beHvS6oS4srqXFcQHpQCV1+c8JXWE8VLPyRDhgS3H8x8A7hztqI9VnwrAQ==",
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"resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.43.1.tgz",
"integrity": "sha512-HgtQzFgNEEo4TE22K/X7sYTYNqEMMTZmFS8kTq6m8hXj+m1D8TgwgIbumHddJa9h4yl4GkKb8/bgAl2+g7eDgA==",
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"playwright": "1.43.1"
},
"bin": {
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@ -4283,6 +4340,12 @@
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"deprecated": "Use your platform's native atob() and btoa() methods instead"
},
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"resolved": "https://registry.npmjs.org/abbrev/-/abbrev-1.1.1.tgz",
"integrity": "sha512-nne9/IiQ/hzIhY6pdDnbBtz7DjPTKrY00P/zvPSm5pOFkl6xuGrGnXn/VtTNNfNtAfZ9/1RtehkszU9qcTii0Q==",
"optional": true
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"resolved": "https://registry.npmjs.org/ace-builds/-/ace-builds-1.32.9.tgz",
@ -4325,6 +4388,24 @@
"node": ">=0.4.0"
}
},
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"resolved": "https://registry.npmjs.org/ag-grid-community/-/ag-grid-community-31.2.1.tgz",
"integrity": "sha512-D+gnUQ4dHZ/EQJmupQnDqcEKiCEeuK5ZxlsIpdPKgHg/23dmW+aEdivtB9nLpSc2IEK0RUpchcSxeUT37Boo5A=="
},
"node_modules/ag-grid-react": {
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"resolved": "https://registry.npmjs.org/ag-grid-react/-/ag-grid-react-31.2.1.tgz",
"integrity": "sha512-9UH3xxXRwZfW97oz58KboyCJl4t+zdetopieeHVcttsXX1DvGFDUIEz7A1sQaG8e1DAXLMf3IxoIPrfWheH4XA==",
"dependencies": {
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"prop-types": "^15.8.1"
},
"peerDependencies": {
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"react-dom": "^16.3.0 || ^17.0.0 || ^18.0.0"
}
},
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"version": "6.0.2",
"resolved": "https://registry.npmjs.org/agent-base/-/agent-base-6.0.2.tgz",
@ -4402,6 +4483,12 @@
"node": ">= 8"
}
},
"node_modules/aproba": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/aproba/-/aproba-2.0.0.tgz",
"integrity": "sha512-lYe4Gx7QT+MKGbDsA+Z+he/Wtef0BiwDOlK/XkBrdfsh9J/jPPXbX0tE9x9cl27Tmu5gg3QUbUrQYa/y+KOHPQ==",
"optional": true
},
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"version": "2.2.0",
"resolved": "https://registry.npmjs.org/arch/-/arch-2.2.0.tgz",
@ -4422,6 +4509,19 @@
}
]
},
"node_modules/are-we-there-yet": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/are-we-there-yet/-/are-we-there-yet-2.0.0.tgz",
"integrity": "sha512-Ci/qENmwHnsYo9xKIcUJN5LeDKdJ6R1Z1j9V/J5wyq8nh/mYPEpIKJbBZXtZjG04HiK7zV/p6Vs9952MrMeUIw==",
"optional": true,
"dependencies": {
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"readable-stream": "^3.6.0"
},
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}
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"resolved": "https://registry.npmjs.org/arg/-/arg-5.0.2.tgz",
@ -4907,6 +5007,21 @@
}
]
},
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"resolved": "https://registry.npmjs.org/canvas/-/canvas-2.11.2.tgz",
"integrity": "sha512-ItanGBMrmRV7Py2Z+Xhs7cT+FNt5K0vPL4p9EZ/UX/Mu7hFbkxSjKF2KVtPwX7UYWp7dRKnrTvReflgrItJbdw==",
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"optional": true,
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},
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"resolved": "https://registry.npmjs.org/ccount/-/ccount-2.0.1.tgz",
@ -4990,6 +5105,15 @@
"node": ">= 6"
}
},
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"resolved": "https://registry.npmjs.org/chownr/-/chownr-2.0.0.tgz",
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}
},
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"resolved": "https://registry.npmjs.org/class-variance-authority/-/class-variance-authority-0.6.1.tgz",
@ -5095,6 +5219,15 @@
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"integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw=="
},
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"resolved": "https://registry.npmjs.org/color-support/-/color-support-1.1.3.tgz",
"integrity": "sha512-qiBjkpbMLO/HL68y+lh4q0/O1MZFj2RX6X/KmMa3+gJD3z+WwI1ZzDHysvqHGS3mP6mznPckpXmw1nI9cJjyRg==",
"optional": true,
"bin": {
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}
},
"node_modules/combined-stream": {
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"resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
@ -5128,7 +5261,13 @@
"version": "0.0.1",
"resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz",
"integrity": "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==",
"dev": true
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},
"node_modules/console-control-strings": {
"version": "1.1.0",
"resolved": "https://registry.npmjs.org/console-control-strings/-/console-control-strings-1.1.0.tgz",
"integrity": "sha512-ty/fTekppD2fIwRvnZAVdeOiGd1c7YXEixbgJTNzqcxJWKQnjJ/V1bNEEE6hygpM3WjwHFUVK6HTjWSzV4a8sQ==",
"optional": true
},
"node_modules/content-disposition": {
"version": "0.5.4",
@ -5583,6 +5722,12 @@
"node": ">=0.4.0"
}
},
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"resolved": "https://registry.npmjs.org/delegates/-/delegates-1.0.0.tgz",
"integrity": "sha512-bd2L678uiWATM6m5Z1VzNCErI3jiGzt6HGY8OVICs40JQq/HALfbyNJmp0UDakEY4pMMaN0Ly5om/B1VI/+xfQ==",
"optional": true
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"resolved": "https://registry.npmjs.org/dequal/-/dequal-2.0.3.tgz",
@ -5591,6 +5736,15 @@
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@ -6438,6 +6592,11 @@
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@ -6682,11 +6841,41 @@
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@ -6718,6 +6907,46 @@
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@ -6766,7 +6995,7 @@
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@ -6797,7 +7026,7 @@
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"node_modules/tiny-warning": {
"version": "1.0.3",
"resolved": "https://registry.npmjs.org/tiny-warning/-/tiny-warning-1.0.3.tgz",
@ -12857,6 +13379,14 @@
"node": ">=14"
}
},
"node_modules/warning": {
"version": "4.0.3",
"resolved": "https://registry.npmjs.org/warning/-/warning-4.0.3.tgz",
"integrity": "sha512-rpJyN222KWIvHJ/F53XSZv0Zl/accqHR8et1kpaMTD/fLCRxtV8iX8czMzY7sVZupTI3zcUTg8eycS2kNF9l6w==",
"dependencies": {
"loose-envify": "^1.0.0"
}
},
"node_modules/wcwidth": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/wcwidth/-/wcwidth-1.0.1.tgz",
@ -13018,6 +13548,35 @@
"resolved": "https://registry.npmjs.org/wicked-good-xpath/-/wicked-good-xpath-1.3.0.tgz",
"integrity": "sha512-Gd9+TUn5nXdwj/hFsPVx5cuHHiF5Bwuc30jZ4+ronF1qHK5O7HD0sgmXWSEgwKquT3ClLoKPVbO6qGwVwLzvAw=="
},
"node_modules/wide-align": {
"version": "1.1.5",
"resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz",
"integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==",
"optional": true,
"dependencies": {
"string-width": "^1.0.2 || 2 || 3 || 4"
}
},
"node_modules/wide-align/node_modules/emoji-regex": {
"version": "8.0.0",
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
"optional": true
},
"node_modules/wide-align/node_modules/string-width": {
"version": "4.2.3",
"resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
"integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
"optional": true,
"dependencies": {
"emoji-regex": "^8.0.0",
"is-fullwidth-code-point": "^3.0.0",
"strip-ansi": "^6.0.1"
},
"engines": {
"node": ">=8"
}
},
"node_modules/wrap-ansi": {
"version": "8.1.0",
"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
@ -13139,7 +13698,7 @@
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
"integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
"dev": true
"devOptional": true
},
"node_modules/ws": {
"version": "8.16.0",

6
src/frontend/package.json
View file

@ -26,6 +26,7 @@
"@tailwindcss/line-clamp": "^0.4.4",
"@types/axios": "^0.14.0",
"ace-builds": "^1.24.1",
"ag-grid-react": "^31.2.1",
"ansi-to-html": "^0.7.2",
"axios": "^1.5.0",
"base64-js": "^1.5.1",
@ -35,11 +36,13 @@
"dompurify": "^3.0.5",
"dotenv": "^16.4.5",
"esbuild": "^0.17.19",
"file-saver": "^2.0.5",
"framer-motion": "^11.0.6",
"lodash": "^4.17.21",
"lucide-react": "^0.331.0",
"million": "^3.0.6",
"moment": "^2.29.4",
"openseadragon": "^4.1.1",
"playwright": "^1.42.0",
"react": "^18.2.0",
"react-ace": "^10.1.0",
@ -49,6 +52,7 @@
"react-icons": "^5.0.1",
"react-laag": "^2.0.5",
"react-markdown": "^8.0.7",
"react-pdf": "^7.7.1",
"react-router-dom": "^6.15.0",
"react-syntax-highlighter": "^15.5.0",
"react18-json-view": "^0.2.3",
@ -93,7 +97,7 @@
},
"proxy": "http://127.0.0.1:7860",
"devDependencies": {
"@playwright/test": "^1.42.0",
"@playwright/test": "^1.43.1",
"@swc/cli": "^0.1.62",
"@swc/core": "^1.3.80",
"@tailwindcss/typography": "^0.5.9",

141
src/frontend/src/components/ImageViewer/index.tsx Normal file
View file

@ -0,0 +1,141 @@
import { useEffect, useRef, useState } from "react";
import ForwardedIconComponent from "../genericIconComponent";
import useFlowStore from "../../stores/flowStore";
import OpenSeadragon from 'openseadragon';
import { Separator } from "../ui/separator";
import { saveAs } from 'file-saver'
import useAlertStore from "../../stores/alertStore";
import { IMGViewErrorMSG, IMGViewErrorTitle } from "../../constants/constants";
export default function ImageViewer({image }) {
const viewerRef = useRef(null);
const [errorDownloading, setErrordownloading] = useState(false)
const setErrorList = useAlertStore(state => state.setErrorData);
const [initialMsg, setInicialMsg] = useState("Please build your flow");
useEffect(() => {
try {
if (viewerRef.current) {
// Initialize OpenSeadragon viewer
const viewer = OpenSeadragon({
element: viewerRef.current,
prefixUrl: 'https://cdnjs.cloudflare.com/ajax/libs/openseadragon/2.4.2/images/', // Optional: Set the path to OpenSeadragon images
tileSources: {type: 'image', url: image},
defaultZoomLevel: 1,
maxZoomPixelRatio: 4,
showNavigationControl: false,
});
const zoomInButton = document.getElementById('zoom-in-button');
const zoomOutButton = document.getElementById('zoom-out-button');
const homeButton = document.getElementById('home-button');
const fullPageButton = document.getElementById('full-page-button');
zoomInButton!.addEventListener('click', () => viewer.viewport.zoomBy(1.2));
zoomOutButton!.addEventListener('click', () => viewer.viewport.zoomBy(0.8));
homeButton!.addEventListener('click', () => viewer.viewport.goHome());
fullPageButton!.addEventListener('click', () => viewer.setFullScreen(true));
// Optionally, you can set additional viewer options here
// Cleanup function
return () => {
viewer.destroy();
zoomInButton!.removeEventListener('click', () => viewer.viewport.zoomBy(1.2));
zoomOutButton!.removeEventListener('click', () => viewer.viewport.zoomBy(0.8));
homeButton!.removeEventListener('click', () => viewer.viewport.goHome());
fullPageButton!.removeEventListener('click', () => viewer.setFullScreen(true));
};
}
} catch (error) {
console.error('Error initializing OpenSeadragon:', error);
}
}, [image]);
function download() {
const imageUrl = image;
// Fetch the image data
fetch(imageUrl)
.then(response => response.blob())
.then(blob => {
// Save the image using FileSaver.js
saveAs(blob, 'image.jpg');
})
.catch(error => {
setErrorList({title: "There was an error downloading your image"})
console.error('Error downloading image:', error)
});
}
return (
image === "" ? (
<div className="w-full h-full bg-muted rounded-md flex align-center justify-center flex-col gap-5 border border-border">
<div className="flex gap-2 align-center justify-center ">
<ForwardedIconComponent
name="Image"
/>
{IMGViewErrorTitle}
</div>
<div className="flex align-center justify-center">
<div className="langflow-chat-desc flex align-center justify-center">
<div className="langflow-chat-desc-span">
{IMGViewErrorMSG}
</div>
</div>
</div>
</div>
) : (
<>
<div className="w-full flex align-center justify-center my-2 mb-4">
<div className="shadow-round-btn-shadow hover:shadow-round-btn-shadow flex items-center justify-center rounded-sm border bg-muted shadow-md transition-all w-[50%]">
<button id="zoom-in-button" className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all w-full transition-all duration-500 ease-in-out ease-in-out hover:bg-hover">
<ForwardedIconComponent
name="ZoomIn"
className={"text-secondary-foreground w-5 h-5"}
/>
</button>
<div>
<Separator orientation="vertical" />
</div>
<button id="zoom-out-button" className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all transition-all duration-500 ease-in-out ease-in-out hover:bg-hover">
<ForwardedIconComponent
name="ZoomOut"
className={"text-secondary-foreground w-5 h-5"}
/>
</button>
<div>
<Separator orientation="vertical" />
</div>
<button id="home-button" className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all transition-all duration-500 ease-in-out ease-in-out hover:bg-hover">
<ForwardedIconComponent
name="RotateCcw"
className={"text-secondary-foreground w-5 h-5"}
/>
</button>
<div>
<Separator orientation="vertical" />
</div>
<button id="full-page-button" className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all transition-all duration-500 ease-in-out ease-in-out hover:bg-hover">
<ForwardedIconComponent
name="Maximize2"
className={"text-secondary-foreground w-5 h-5"}
/>
</button>
<div>
<Separator orientation="vertical" />
</div>
<button onClick={download} className="relative inline-flex w-full items-center justify-center px-3 py-3 text-sm font-semibold transition-all transition-all duration-500 ease-in-out ease-in-out hover:bg-hover">
<ForwardedIconComponent
name="ArrowDownToLine"
className={"text-secondary-foreground w-5 h-5"}
/>
</button>
</div>
</div>
<div id="canvas" ref={viewerRef} className={`w-full h-[90%] `} />
</>
)
);
}

27
src/frontend/src/components/csvOutputComponent/helpers/convert-data-function.ts Normal file
View file

@ -0,0 +1,27 @@
export const convertCSVToData = (csvFile, csvSeparator: string) => {
const lines = csvFile.data.trim().split("\n");
const headers = lines[0].trim().split(csvSeparator);
const initialRowData: any = [];
const initialColDefs = headers.map((header) => ({
field: header.trim(),
wrapText: true,
autoHeight: true,
height: "100%",
}));
for (let i = 1; i < lines.length; i++) {
const data = lines[i].trim().split(csvSeparator);
const rowDataEntry: any = {};
for (let j = 0; j < headers.length; j++) {
const value = isNaN(data[j]) ? data[j] : parseFloat(data[j]);
rowDataEntry[headers[j].trim()] = value;
}
initialRowData.push(rowDataEntry);
}
return { rowData: initialRowData, colDefs: initialColDefs };
};

182
src/frontend/src/components/csvOutputComponent/index.tsx Normal file
View file

@ -0,0 +1,182 @@
import "ag-grid-community/styles/ag-grid.css"; // Mandatory CSS required by the grid
import "ag-grid-community/styles/ag-theme-balham.css"; // Optional Theme applied to the grid
import { AgGridReact } from "ag-grid-react";
import { useCallback, useEffect, useMemo, useState } from "react";
import {
CSVError,
CSVNoDataError,
CSVViewErrorTitle,
} from "../../constants/constants";
import { useDarkStore } from "../../stores/darkStore";
import { FlowPoolObjectType } from "../../types/chat";
import { NodeType } from "../../types/flow";
import ForwardedIconComponent from "../genericIconComponent";
import Loading from "../ui/loading";
import { convertCSVToData } from "./helpers/convert-data-function";
function CsvOutputComponent({
csvNode,
flowPool,
}: {
csvNode: NodeType;
flowPool: FlowPoolObjectType;
}) {
const csvNodeArtifacts = flowPool?.data?.artifacts?.repr;
const jsonString = csvNodeArtifacts?.replace(/'/g, '"');
let file = null;
try {
file = JSON?.parse(jsonString) || "";
} catch (e) {
console.log("Error parsing JSON");
}
if (!file) {
return (
<div className=" align-center flex h-full w-full flex-col items-center justify-center gap-5">
<div className="align-center flex w-full justify-center gap-2">
<ForwardedIconComponent name="Table" />
{CSVViewErrorTitle}
</div>
<div className="align-center flex w-full justify-center">
<div className="langflow-chat-desc align-center flex justify-center px-6 py-8">
<div className="langflow-chat-desc-span">{CSVError}</div>
</div>
</div>
</div>
);
}
const separator = csvNode?.data?.node?.template?.separator?.value || ",";
const dark = useDarkStore.getState().dark;
const [rowData, setRowData] = useState([]);
const [colDefs, setColDefs] = useState([]);
const [status, setStatus] = useState("loading");
var currentRowHeight: number;
var minRowHeight = 25;
const defaultColDef = useMemo(() => {
return {
width: 200,
editable: true,
filter: true,
};
}, []);
useEffect(() => {
setStatus("loading");
if (file) {
const { rowData: data, colDefs: columns } = convertCSVToData(
file,
separator
);
setRowData(data);
setColDefs(columns);
setTimeout(() => {
setStatus("loaded");
}, 1000);
} else {
setStatus("nodata");
}
}, [separator]);
const getRowHeight = useCallback(() => {
return currentRowHeight;
}, []);
const onGridReady = useCallback((params: any) => {
minRowHeight = params.api.getSizesForCurrentTheme().rowHeight;
currentRowHeight = minRowHeight;
}, []);
const updateRowHeight = (params: { api: any }) => {
const bodyViewport = document.querySelector(".ag-body-viewport");
if (!bodyViewport) {
return;
}
var gridHeight = bodyViewport.clientHeight;
var renderedRowCount = params.api.getDisplayedRowCount();
if (renderedRowCount * minRowHeight >= gridHeight) {
if (currentRowHeight !== minRowHeight) {
currentRowHeight = minRowHeight;
params.api.resetRowHeights();
}
} else {
currentRowHeight = Math.floor(gridHeight / renderedRowCount);
params.api.resetRowHeights();
}
};
const onFirstDataRendered = useCallback(
(params: any) => {
updateRowHeight(params);
},
[updateRowHeight]
);
const onGridSizeChanged = useCallback(
(params: any) => {
updateRowHeight(params);
},
[updateRowHeight]
);
return (
<div className=" h-full rounded-md border bg-muted">
{status === "nodata" && (
<div className=" align-center flex h-full w-full flex-col items-center justify-center gap-5">
<div className="align-center flex w-full justify-center gap-2">
<ForwardedIconComponent name="Table" />
{CSVViewErrorTitle}
</div>
<div className="align-center flex w-full justify-center">
<div className="langflow-chat-desc align-center flex justify-center px-6 py-8">
<div className="langflow-chat-desc-span">{CSVNoDataError}</div>
</div>
</div>
</div>
)}
{status === "error" && (
<div className=" align-center flex h-full w-full flex-col items-center justify-center gap-5">
<div className="align-center flex w-full justify-center gap-2">
<ForwardedIconComponent name="Table" />
{CSVViewErrorTitle}
</div>
<div className="align-center flex w-full justify-center">
<div className="langflow-chat-desc align-center flex justify-center px-6 py-8">
<div className="langflow-chat-desc-span">{CSVError}</div>
</div>
</div>
</div>
)}
{status === "loaded" && (
<div
className={`${dark ? "ag-theme-balham-dark" : "ag-theme-balham"}`}
style={{ height: "100%", width: "100%" }}
>
<AgGridReact
rowData={rowData}
columnDefs={colDefs}
defaultColDef={defaultColDef}
getRowHeight={getRowHeight}
onGridReady={onGridReady}
onFirstDataRendered={onFirstDataRendered}
onGridSizeChanged={onGridSizeChanged}
scrollbarWidth={8}
/>
</div>
)}
{status === "loading" && (
<div className=" flex h-full w-full items-center justify-center align-middle">
<Loading />
</div>
)}
</div>
);
}
export default CsvOutputComponent;

23
src/frontend/src/components/pdfViewer/Error/index.tsx Normal file
View file

@ -0,0 +1,23 @@
import { CHAT_FIRST_INITIAL_TEXT, CHAT_SECOND_INITIAL_TEXT, PDFCheckFlow, PDFLoadErrorTitle } from "../../../constants/constants";
import IconComponent from "../../genericIconComponent";
export default function Error(): JSX.Element {
return (
<div className="flex flex-col items-center justify-center h-full w-full bg-muted">
<div className="chat-alert-box">
<span className="flex gap-2">
<IconComponent name="FileX2" />
<span className="langflow-chat-span">{PDFLoadErrorTitle}</span>
</span>
<br />
<div className="langflow-chat-desc">
<span className="langflow-chat-desc-span">
{PDFCheckFlow}{" "}
</span>
</div>
</div>
</div>
);
}

155
src/frontend/src/components/pdfViewer/index.tsx Normal file
View file

@ -0,0 +1,155 @@
import { useEffect, useRef, useState } from "react";
import { Document, Page, pdfjs } from "react-pdf";
import "react-pdf/dist/esm/Page/AnnotationLayer.css";
import "react-pdf/dist/esm/Page/TextLayer.css";
import IconComponent from "../genericIconComponent";
import Loading from "../ui/loading";
import Error from "./Error";
import NoDataPdf from "./noData";
pdfjs.GlobalWorkerOptions.workerSrc = `//unpkg.com/pdfjs-dist@${pdfjs.version}/build/pdf.worker.min.js`;
export default function PdfViewer({ pdf }: { pdf: string }): JSX.Element {
const [numPages, setNumPages] = useState(-1);
const [pageNumber, setPageNumber] = useState(1);
const [scale, setScale] = useState(1);
const [width, setWidth] = useState<number | undefined>(undefined);
const [showControl, setShowControl] = useState(false);
const container = useRef<null | HTMLDivElement>(null);
//shortcuts to change page
useEffect(() => {
function handleKeyDown(event: KeyboardEvent) {
if (event.key === "ArrowLeft") {
if (pageNumber > 1) previousPage();
} else if (event.key === "ArrowRight") {
if (pageNumber < numPages) nextPage();
}
}
document.addEventListener("keydown", handleKeyDown);
return () => {
document.removeEventListener("keydown", handleKeyDown);
};
}, [pageNumber]);
function onDocumentLoadSuccess({ numPages }) {
setNumPages(numPages);
setPageNumber(1);
}
function changePage(offset) {
setPageNumber((prevPageNumber) => prevPageNumber + offset);
}
function previousPage() {
changePage(-1);
}
function nextPage() {
changePage(1);
}
//set handle scale in % to real number
function handleScaleChange(e) {
//check if e is a number
if (isNaN(e) || e < 0.1) return;
// round to 2 decimal places
e = Math.round(e * 10) / 10;
setScale(e);
}
function zoomIn() {
handleScaleChange(scale + 0.1);
}
function zoomOut() {
if (scale > 0.1) handleScaleChange(scale - 0.1);
}
function handlePageLoad(page) {
if (!container.current) return;
const containerWidth = container.current.clientWidth;
const pageWidth = page.width;
if (containerWidth > pageWidth) {
setWidth(containerWidth - 10);
}
}
return (
<div
ref={container}
onMouseEnter={(_) => setShowControl(true)}
onMouseLeave={(_) => setShowControl(false)}
className="flex h-full w-full flex-col items-center justify-end overflow-clip rounded-lg border border-border"
>
<div className={"h-full min-h-0 w-full overflow-auto custom-scroll"}>
<Document
loading={
<div className="flex h-full w-full items-center justify-center align-middle">
<Loading />
</div>
}
onLoadSuccess={onDocumentLoadSuccess}
file={pdf}
noData={<NoDataPdf />}
error={<Error />}
className="h-full w-full"
>
<Page
width={width}
onLoadSuccess={handlePageLoad}
scale={scale}
renderTextLayer
pageNumber={pageNumber}
className={"h-full max-h-0 w-full"}
/>
</Document>
</div>
<div
className={
"absolute z-50 pb-5 " + (showControl && numPages > 0 ? "" : " hidden")
}
>
<div className=" flex w-min items-center justify-center gap-0.5 rounded-xl bg-secondary px-2 align-middle">
<button
type="button"
disabled={pageNumber <= 1}
onClick={previousPage}
>
<IconComponent
name={"ChevronLeft"}
className="h-6 w-6"
></IconComponent>
</button>
<p>
{pageNumber || (numPages ? 1 : "--")}/{numPages || "--"}
</p>
<button
type="button"
disabled={pageNumber >= numPages}
onClick={nextPage}
>
<IconComponent
name={"ChevronRight"}
className="h-6 w-6"
></IconComponent>
</button>
<p className="px-2">|</p>
<button type="button" onClick={zoomOut}>
<IconComponent name={"ZoomOut"} className="h-6 w-6"></IconComponent>
</button>
<input
type="number"
step={0.1}
className="w-6 border-b bg-transparent text-center arrow-hide"
onChange={(e) => handleScaleChange(e.target.value)}
value={scale}
/>
<button type="button" onClick={zoomIn}>
<IconComponent name={"ZoomIn"} className="h-6 w-6"></IconComponent>
</button>
</div>
</div>
</div>
);
}

17
src/frontend/src/components/pdfViewer/noData/index.tsx Normal file
View file

@ -0,0 +1,17 @@
import { PDFErrorTitle, PDFLoadError } from "../../../constants/constants";
export default function NoDataPdf(): JSX.Element {
return (
<div className="flex h-full w-full flex-col items-center justify-center bg-muted">
<div className="chat-alert-box">
<span>
📄 <span className="langflow-chat-span">{PDFErrorTitle}</span>
</span>
<br />
<div className="langflow-chat-desc">
<span className="langflow-chat-desc-span">{PDFLoadError} </span>
</div>
</div>
</div>
);
}

33
src/frontend/src/constants/constants.ts
View file

@ -161,6 +161,29 @@ export const IMPORT_DIALOG_SUBTITLE =
*/
export const TOOLTIP_EMPTY = "No compatible components found.";
export const CSVViewErrorTitle = "CSV output";
export const CSVNoDataError = "No data available";
export const PDFViewConstant = "Expand the ouptut to see the PDF";
export const CSVError = "Error loading CSV";
export const PDFLoadErrorTitle = "Error loading PDF";
export const PDFCheckFlow = "Please check your flow and try again";
export const PDFErrorTitle = "PDF Output";
export const PDFLoadError = "Run the flow to see the pdf";
export const IMGViewConstant = "Expand the view to see the image";
export const IMGViewErrorMSG =
"Run the flow or inform a valid url to see your image";
export const IMGViewErrorTitle = "Image output";
/**
* The base text for subtitle of code dialog
* @constant
@ -688,8 +711,14 @@ export const LANGFLOW_SUPPORTED_TYPES = new Set([
export const priorityFields = new Set(["code", "template"]);
export const INPUT_TYPES = new Set(["ChatInput", "TextInput"]);
export const OUTPUT_TYPES = new Set(["ChatOutput", "TextOutput"]);
export const INPUT_TYPES = new Set(["ChatInput", "TextInput", "KeyPairInput"]);
export const OUTPUT_TYPES = new Set([
"ChatOutput",
"TextOutput",
"PDFOutput",
"ImageOutput",
"CSVOutput",
]);
export const CHAT_FIRST_INITIAL_TEXT =
"Start a conversation and click the agent's thoughts";

77
src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx
View file

@ -1,5 +1,17 @@
import { cloneDeep } from "lodash";
import ImageViewer from "../../../../components/ImageViewer";
import CsvOutputComponent from "../../../../components/csvOutputComponent";
import PdfViewer from "../../../../components/pdfViewer";
import {
Select,
SelectContent,
SelectGroup,
SelectItem,
SelectTrigger,
SelectValue,
} from "../../../../components/ui/select";
import { Textarea } from "../../../../components/ui/textarea";
import { PDFViewConstant } from "../../../../constants/constants";
import { InputOutput } from "../../../../constants/enums";
import useFlowStore from "../../../../stores/flowStore";
import { IOFieldViewProps } from "../../../../types/components";
@ -15,6 +27,19 @@ export default function IOFieldView({
const setNode = useFlowStore((state) => state.setNode);
const flowPool = useFlowStore((state) => state.flowPool);
const node = nodes.find((node) => node.id === fieldId);
const flowPoolNode = (flowPool[node!.id] ?? [])[
(flowPool[node!.id]?.length ?? 1) - 1
];
const handleChangeSelect = (e) => {
if (node) {
let newNode = cloneDeep(node);
if (newNode.data.node.template.separator) {
newNode.data.node.template.separator.value = e;
setNode(newNode.id, newNode);
}
}
};
function handleOutputType() {
if (!node) return <>"No node found!"</>;
switch (type) {
@ -91,6 +116,58 @@ export default function IOFieldView({
readOnly
/>
);
case "PDFOutput":
return left ? (
<div>{PDFViewConstant}</div>
) : (
<PdfViewer pdf={flowPoolNode?.params ?? ""} />
);
case "CSVOutput":
return left ? (
<>
<div className="flex justify-between">
Expand the ouptut to see the CSV
</div>
<div className="flex items-center justify-between pt-5">
<span>CSV separator </span>
<Select
value={node.data.node.template.separator.value}
onValueChange={(e) => handleChangeSelect(e)}
>
<SelectTrigger className="w-[70px]">
<SelectValue />
</SelectTrigger>
<SelectContent>
<SelectGroup>
{node?.data?.node?.template?.separator?.options.map(
(separator) => (
<SelectItem key={separator} value={separator}>
{separator}
</SelectItem>
)
)}
</SelectGroup>
</SelectContent>
</Select>
</div>
</>
) : (
<>
<CsvOutputComponent csvNode={node} flowPool={flowPoolNode} />
</>
);
case "ImageOutput":
return left ? (
<div>Expand the view to see the image</div>
) : (
<ImageViewer
image={
(flowPool[node.id] ?? [])[
(flowPool[node.id]?.length ?? 1) - 1
]?.params ?? ""
}
/>
);
default:
return (

18
src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts
View file

@ -1,4 +1,4 @@
import { expect, test } from "@playwright/test";
import { test } from "@playwright/test";
test("CodeAreaModalComponent", async ({ page }) => {
await page.goto("/");
@ -64,19 +64,19 @@ class PythonFunctionComponent(CustomComponent):
await page.locator("textarea").fill(wCode);
await page.locator('//*[@id="checkAndSaveBtn"]').click();
await page.waitForTimeout(1000);
expect(
await page.getByText("invalid syntax (<unknown>, line 1)").isVisible()
).toBeTruthy();
// expect(
// await page.getByText("invalid syntax (<unknown>, line 1)").isVisible()
// ).toBeTruthy();
await page.locator("textarea").press("Control+a");
await page.locator("textarea").fill(wCode);
await page.locator("textarea").fill(customComponentCode);
await page.locator('//*[@id="checkAndSaveBtn"]').click();
await page.waitForTimeout(1000);
await page.getByTestId("code-button-modal").click();
const inputCodeValue = await page
.locator('//*[@id="codeValue"]')
.inputValue();
// await page.getByTestId("code-button-modal").click();
// const inputCodeValue = await page
// .locator('//*[@id="codeValue"]')
// .inputValue();
expect(inputCodeValue).toContain("def python_function(text: str) -> str");
// expect(inputCodeValue).toContain("def python_function(text: str) -> str");
});

12
src/frontend/tests/end-to-end/filterEdge.spec.ts
View file

@ -69,7 +69,9 @@ test("LLMChain - Tooltip", async ({ page }) => {
).toBeVisible();
await page.waitForTimeout(2000);
await expect(page.getByTestId("tooltip-Models").first()).toBeVisible();
await expect(
page.getByTestId("tooltip-Model Specs").first()
).toBeVisible();
await page.getByTestId("icon-Search").click();
@ -138,13 +140,7 @@ test("LLMChain - Filter", async ({ page }) => {
)
.click();
await page
.locator(
'//*[@id="react-flow-id"]/div/div[1]/div[1]/div/div[2]/div/div/div[2]/div[4]/div/button/div/div'
)
.click();
await expect(page.getByTestId("disclosure-models")).toBeVisible();
await expect(page.getByTestId("disclosure-model specs")).toBeVisible();
await expect(page.getByTestId("model_specsAnthropic").first()).toBeVisible();
await expect(page.getByTestId("model_specsAmazon Bedrock")).toBeVisible();
await expect(page.getByTestId("model_specsAzureChatOpenAI")).toBeVisible();

7
src/frontend/tests/end-to-end/globalVariables.spec.ts
View file

@ -69,4 +69,11 @@ test("GlobalVariables", async ({ page }) => {
await page.getByText("Save Variable", { exact: true }).click();
expect(page.getByText(credentialName, { exact: true })).not.toBeNull();
await page.getByText(credentialName, { exact: true }).isVisible();
await page
.getByText(credentialName, { exact: true })
.hover()
.then(async () => {
await page.getByTestId("icon-Trash2").last().click();
await page.getByText("Delete", { exact: true }).nth(1).click();
});
});

3
src/frontend/tests/end-to-end/saveComponents.spec.ts
View file

@ -17,9 +17,10 @@ test.describe("save component tests", () => {
while (modalCount === 0) {
await page.locator('//*[@id="new-project-btn"]').click();
await page.waitForTimeout(5000);
modalCount = await page.getByTestId("modal-title")?.count();
}
await page.waitForTimeout(1000);
await page.getByTestId("blank-flow").click();
await page.waitForTimeout(1000);

1
src/frontend/tests/end-to-end/store.spec.ts
View file

@ -75,6 +75,7 @@ test("should order the visualization", async ({ page }) => {
await page.getByText("Basic RAG").isVisible();
await page.getByTestId("select-order-store").click();
await page.waitForTimeout(2000);
await page.getByText("Alphabetical").click();
await page.getByText("Album Cover Builder").isVisible();

4
src/frontend/tests/end-to-end/textInputOutput.spec.ts
View file

@ -131,7 +131,6 @@ test("TextInputOutputComponent", async ({ page }) => {
await page.getByText("Text Output", { exact: true }).nth(2).click();
let contentOutput = await page.getByPlaceholder("Empty").inputValue();
expect(contentOutput).not.toBe(null);
expect(contentOutput).not.toBe("");
await page.keyboard.press("Escape");
@ -149,7 +148,6 @@ test("TextInputOutputComponent", async ({ page }) => {
await page.getByText("Outputs", { exact: true }).nth(1).click();
await page.getByText("Text Output", { exact: true }).nth(2).click();
contentOutput = await page.getByPlaceholder("Empty").textContent();
contentOutput = await page.getByPlaceholder("Empty").inputValue();
expect(contentOutput).not.toBe(null);
expect(contentOutput).not.toBe("");
});