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Cristhian Zanforlin Lousa 2023-08-14 18:28:47 -03:00
commit 2aa33bb08b
23 changed files with 632 additions and 419 deletions
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docs/docs/guidelines/custom-component.mdx
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@ -65,7 +65,6 @@ class DocumentProcessor(CustomComponent):
light: "img/document_processor.png",
}}
style={{
width: "40%",
margin: "0 auto",
display: "flex",
justifyContent: "center",

552
poetry.lock generated
View file

@ -2,13 +2,13 @@
[[package]]
name = "aiofiles"
version = "23.1.0"
version = "23.2.1"
description = "File support for asyncio."
optional = false
python-versions = ">=3.7,<4.0"
python-versions = ">=3.7"
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@ -272,13 +272,13 @@ test = ["astroid", "pytest"]
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version = "4.0.3"
description = "Timeout context manager for asyncio programs"
optional = false
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python-versions = ">=3.7"
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@ -792,13 +792,13 @@ sqlalchemy = ["sqlalchemy (>1.3.21,<2.0)"]
[[package]]
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version = "4.19.3"
description = ""
optional = false
python-versions = ">=3.7,<4.0"
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@ -1013,29 +1013,29 @@ typing-inspect = ">=0.4.0,<1"
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version = "1.6.7.post1"
description = "An implementation of the Debug Adapter Protocol for Python"
optional = false
python-versions = ">=3.7"
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[[package]]
@ -1118,13 +1118,13 @@ files = [
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name = "dnspython"
version = "2.4.1"
version = "2.4.2"
description = "DNS toolkit"
optional = false
python-versions = ">=3.8,<4.0"
files = [
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[package.extras]
@ -1697,13 +1697,13 @@ six = "*"
[[package]]
name = "google-cloud-aiplatform"
version = "1.29.0"
version = "1.30.0"
description = "Vertex AI API client library"
optional = false
python-versions = ">=3.7"
files = [
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@ -2832,13 +2832,13 @@ i18n = ["Babel (>=2.7)"]
[[package]]
name = "joblib"
version = "1.3.1"
version = "1.3.2"
description = "Lightweight pipelining with Python functions"
optional = false
python-versions = ">=3.7"
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@ -2962,12 +2962,12 @@ langchain = ">=0.0.239"
[[package]]
name = "langchain-serve"
version = "0.0.59"
version = "0.0.60"
description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
optional = true
python-versions = "*"
files = [
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@ -2987,13 +2987,13 @@ test = ["psutil", "pytest", "pytest-asyncio"]
[[package]]
name = "langsmith"
version = "0.0.19"
version = "0.0.21"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = ">=3.8.1,<4.0"
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@ -3398,6 +3398,20 @@ files = [
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version = "0.1.12"
description = "A Python package for the Metaphor API."
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python-versions = "*"
files = [
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requests = "*"
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name = "monotonic"
version = "1.6"
@ -3567,37 +3581,33 @@ dill = ">=0.3.7"
[[package]]
name = "mypy"
version = "1.4.1"
version = "1.5.0"
description = "Optional static typing for Python"
optional = false
python-versions = ">=3.7"
python-versions = ">=3.8"
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]
[[package]]
@ -6734,33 +6759,33 @@ scipy = ["scipy"]
[[package]]
name = "tornado"
version = "6.3.2"
version = "6.3.3"
description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
optional = false
python-versions = ">= 3.8"
files = [
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{file = "tornado-6.3.2.tar.gz", hash = "sha256:4b927c4f19b71e627b13f3db2324e4ae660527143f9e1f2e2fb404f3a187e2ba"},
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{file = "tornado-6.3.3.tar.gz", hash = "sha256:e7d8db41c0181c80d76c982aacc442c0783a2c54d6400fe028954201a2e032fe"},
]
[[package]]
name = "tqdm"
version = "4.65.1"
version = "4.66.1"
description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
files = [
{file = "tqdm-4.65.1-py3-none-any.whl", hash = "sha256:16181c62ad2c6f8f6f29876e66322faad1c7fd3cc70aa9cc25ff63e50d1da031"},
{file = "tqdm-4.65.1.tar.gz", hash = "sha256:2cb0075cc5269f8edac40bdeb757cc36ab5b6648caf014822b67e1a49fba141d"},
{file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
{file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
]
[package.dependencies]
@ -7176,20 +7201,15 @@ test = ["Cython (>=0.29.32,<0.30.0)", "aiohttp", "flake8 (>=3.9.2,<3.10.0)", "my
[[package]]
name = "validators"
version = "0.20.0"
description = "Python Data Validation for Humans™."
version = "0.21.0"
description = "Python Data Validation for Humans™"
optional = false
python-versions = ">=3.4"
python-versions = ">=3.8,<4.0"
files = [
{file = "validators-0.20.0.tar.gz", hash = "sha256:24148ce4e64100a2d5e267233e23e7afeb55316b47d30faae7eb6e7292bc226a"},
{file = "validators-0.21.0-py3-none-any.whl", hash = "sha256:3470db6f2384c49727ee319afa2e97aec3f8fad736faa6067e0fd7f9eaf2c551"},
{file = "validators-0.21.0.tar.gz", hash = "sha256:245b98ab778ed9352a7269c6a8f6c2a839bed5b2a7e3e60273ce399d247dd4b3"},
]
[package.dependencies]
decorator = ">=3.4.0"
[package.extras]
test = ["flake8 (>=2.4.0)", "isort (>=4.2.2)", "pytest (>=2.2.3)"]
[[package]]
name = "watchfiles"
version = "0.19.0"
@ -7681,4 +7701,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.11"
content-hash = "0549d60fd69bb53ccdc466b76e05647ceb5502dcd01f6040e82eb9d7d9050292"
content-hash = "18156a4c5ecf05bf430bf2a00da1771c6e16e6408cfb05fe36fc3ff0ad29e213"

3
pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "0.4.3"
version = "0.4.7"
description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"]
maintainers = [
@ -81,6 +81,7 @@ alembic = "^1.11.2"
passlib = "^1.7.4"
bcrypt = "^4.0.1"
python-jose = "^3.3.0"
metaphor-python = "^0.1.11"
[tool.poetry.group.dev.dependencies]
black = "^23.1.0"

97
src/backend/langflow/auth/auth.py
View file

@ -1,3 +1,4 @@
from uuid import UUID
from typing import Annotated
from jose import JWTError, jwt
from sqlalchemy.orm import Session
@ -7,8 +8,12 @@ from fastapi import Depends, HTTPException, status
from datetime import datetime, timedelta, timezone
from langflow.services.utils import get_session
from langflow.database.models.token import TokenData
from langflow.database.models.user import User, get_user_by_username
from langflow.database.models.user import (
User,
get_user_by_id,
get_user_by_username,
update_user_last_login_at,
)
# TODO: Move to env - JUST FOR TEST!!!!!
@ -21,6 +26,38 @@ pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="login")
async def get_current_user(
token: Annotated[str, Depends(oauth2_scheme)], db: Session = Depends(get_session)
) -> User:
credentials_exception = HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",
headers={"WWW-Authenticate": "Bearer"},
)
try:
payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
user_id: UUID = payload.get("sub") # type: ignore
token_type: str = payload.get("type") # type: ignore
if user_id is None or token_type:
raise credentials_exception
except JWTError as e:
raise credentials_exception from e
user = get_user_by_id(db, user_id) # type: ignore
if user is None:
raise credentials_exception
return user
async def get_current_active_user(
current_user: Annotated[User, Depends(get_current_user)]
):
if not current_user.is_active:
raise HTTPException(status_code=400, detail="Inactive user")
return current_user
def verify_password(plain_password, hashed_password):
return pwd_context.verify(plain_password, hashed_password)
@ -38,19 +75,22 @@ def create_token(data: dict, expires_delta: timedelta):
return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
def create_user_tokens(username: str) -> dict:
def create_user_tokens(user_id: UUID, db: Session = Depends(get_session)) -> dict:
access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
access_token = create_token(
data={"sub": username},
data={"sub": str(user_id)},
expires_delta=access_token_expires,
)
refresh_token_expires = timedelta(minutes=REFRESH_TOKEN_EXPIRE_MINUTES)
refresh_token = create_token(
data={"sub": username, "type": "rf"},
data={"sub": str(user_id), "type": "rf"},
expires_delta=refresh_token_expires,
)
# Update: last_login_at
update_user_last_login_at(user_id, db)
return {
"access_token": access_token,
"refresh_token": refresh_token,
@ -61,15 +101,15 @@ def create_user_tokens(username: str) -> dict:
def create_refresh_token(refresh_token: str):
try:
payload = jwt.decode(refresh_token, SECRET_KEY, algorithms=[ALGORITHM])
username: str = payload.get("sub") # type: ignore
user_id: UUID = payload.get("sub") # type: ignore
token_type: str = payload.get("type") # type: ignore
if username is None or token_type is None:
if user_id is None or token_type is None:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid refresh token"
)
return create_user_tokens(username)
return create_user_tokens(user_id)
except JWTError as e:
raise HTTPException(
@ -78,41 +118,10 @@ def create_refresh_token(refresh_token: str):
) from e
def authenticate_user(db: Session, username: str, password: str):
def authenticate_user(
username: str, password: str, db: Session = Depends(get_session)
) -> User | None:
if user := get_user_by_username(db, username):
return user if verify_password(password, user.password) else False
return user if verify_password(password, user.password) else None
else:
return False
async def get_current_user(
token: Annotated[str, Depends(oauth2_scheme)], db: Session = Depends(get_session)
) -> User:
credentials_exception = HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",
headers={"WWW-Authenticate": "Bearer"},
)
try:
payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
username: str = payload.get("sub") # type: ignore
token_type: str = payload.get("type") # type: ignore
if username is None or token_type:
raise credentials_exception
token_data = TokenData(username=username)
except JWTError as e:
raise credentials_exception from e
user = get_user_by_username(db, token_data.username) # type: ignore
if user is None:
raise credentials_exception
return user
async def get_current_active_user(
current_user: Annotated[User, Depends(get_current_user)]
):
if current_user.is_disabled:
raise HTTPException(status_code=400, detail="Inactive user")
return current_user
return None

0
src/backend/langflow/components/chains/prompt_runner.py → src/backend/langflow/components/chains/PromptRunner.py
View file

56
src/backend/langflow/components/toolkits/Metaphor.py Normal file
View file

@ -0,0 +1,56 @@
from typing import List, Union
from langflow import CustomComponent
from metaphor_python import Metaphor # type: ignore
from langchain.tools import Tool
from langchain.agents import tool
from langchain.agents.agent_toolkits.base import BaseToolkit
class MetaphorToolkit(CustomComponent):
display_name: str = "Metaphor"
description: str = "Metaphor Toolkit"
documentation = (
"https://python.langchain.com/docs/integrations/tools/metaphor_search"
)
beta = True
# api key should be password = True
field_config = {
"metaphor_api_key": {"display_name": "Metaphor API Key", "password": True},
"code": {"advanced": True},
}
def build(
self,
metaphor_api_key: str,
use_autoprompt: bool = True,
search_num_results: int = 5,
similar_num_results: int = 5,
) -> Union[Tool, BaseToolkit]:
# If documents, then we need to create a Vectara instance using .from_documents
client = Metaphor(api_key=metaphor_api_key)
@tool
def search(query: str):
"""Call search engine with a query."""
return client.search(
query, use_autoprompt=use_autoprompt, num_results=search_num_results
)
@tool
def get_contents(ids: List[str]):
"""Get contents of a webpage.
The ids passed in should be a list of ids as fetched from `search`.
"""
return client.get_contents(ids)
@tool
def find_similar(url: str):
"""Get search results similar to a given URL.
The url passed in should be a URL returned from `search`
"""
return client.find_similar(url, num_results=similar_num_results)
return [search, get_contents, find_similar] # type: ignore

0
src/backend/langflow/components/toolkits/__init__.py Normal file
View file

50
src/backend/langflow/components/vectorstores/Vectara.py Normal file
View file

@ -0,0 +1,50 @@
from typing import Optional, Union
from langflow import CustomComponent
from langchain.vectorstores import Vectara
from langchain.schema import Document
from langchain.vectorstores.base import VectorStore
from langchain.schema import BaseRetriever
from langchain.embeddings.base import Embeddings
class VectaraComponent(CustomComponent):
display_name: str = "Vectara"
description: str = "Implementation of Vector Store using Vectara"
documentation = (
"https://python.langchain.com/docs/integrations/vectorstores/vectara"
)
beta = True
# api key should be password = True
field_config = {
"vectara_customer_id": {"display_name": "Vectara Customer ID"},
"vectara_corpus_id": {"display_name": "Vectara Corpus ID"},
"vectara_api_key": {"display_name": "Vectara API Key", "password": True},
"code": {"show": False},
"documents": {"display_name": "Documents"},
"embedding": {"display_name": "Embedding"},
}
def build(
self,
vectara_customer_id: str,
vectara_corpus_id: str,
vectara_api_key: str,
embedding: Optional[Embeddings] = None,
documents: Optional[Document] = None,
) -> Union[VectorStore, BaseRetriever]:
# If documents, then we need to create a Vectara instance using .from_documents
if documents is not None and embedding is not None:
return Vectara.from_documents(
documents=documents, # type: ignore
vectara_customer_id=vectara_customer_id,
vectara_corpus_id=vectara_corpus_id,
vectara_api_key=vectara_api_key,
embedding=embedding,
)
return Vectara(
vectara_customer_id=vectara_customer_id,
vectara_corpus_id=vectara_corpus_id,
vectara_api_key=vectara_api_key,
)

0
src/backend/langflow/components/vectorstores/__init__.py Normal file
View file

4
src/backend/langflow/database/models/token.py
View file

@ -5,7 +5,3 @@ class Token(BaseModel):
access_token: str
refresh_token: str
token_type: str
class TokenData(BaseModel):
username: str | None = None

68
src/backend/langflow/database/models/user.py
View file

@ -1,41 +1,52 @@
from datetime import datetime
from sqlalchemy.orm import Session
from langflow.services.database.models.base import SQLModelSerializable, SQLModel
from sqlmodel import Field
from uuid import UUID, uuid4
from pydantic import BaseModel
from typing import Optional, List
from sqlalchemy.orm import Session
from datetime import timezone, datetime
from sqlalchemy.exc import IntegrityError
from fastapi import HTTPException, Depends
from langflow.services.utils import get_session
from langflow.services.database.models.base import SQLModelSerializable, SQLModel
class User(SQLModelSerializable, table=True):
id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
username: str = Field(index=True, unique=True)
password: str = Field()
is_disabled: bool = Field(default=False)
is_active: bool = Field(default=False)
is_superuser: bool = Field(default=False)
create_at: datetime = Field(default_factory=datetime.utcnow)
updated_at: datetime = Field(default_factory=datetime.utcnow)
last_login_at: Optional[datetime] = Field()
class UserAddModel(SQLModel):
username: str = Field()
password: str = Field()
is_disabled: bool = Field(default=False)
is_superuser: bool = Field(default=False)
class UserListModel(SQLModel):
id: UUID = Field(default_factory=uuid4)
username: str = Field()
is_disabled: bool = Field()
is_active: bool = Field()
is_superuser: bool = Field()
create_at: datetime = Field()
updated_at: datetime = Field()
last_login_at: Optional[datetime] = Field()
class UserPatchModel(SQLModel):
username: str = Field()
is_disabled: bool = Field()
is_superuser: bool = Field()
username: Optional[str] = Field()
is_active: Optional[bool] = Field()
is_superuser: Optional[bool] = Field()
last_login_at: Optional[datetime] = Field()
class UsersResponse(BaseModel):
total_count: int
users: List[UserListModel]
def get_user_by_username(db: Session, username: str) -> User:
@ -46,3 +57,38 @@ def get_user_by_username(db: Session, username: str) -> User:
def get_user_by_id(db: Session, id: UUID) -> User:
db_user = db.query(User).filter(User.id == id).first()
return User.from_orm(db_user) if db_user else None # type: ignore
def update_user(
user_id: UUID, user: UserPatchModel, db: Session = Depends(get_session)
) -> User:
user_db = get_user_by_username(db, user.username) # type: ignore
if user_db and user_db.id != user_id:
raise HTTPException(status_code=409, detail="Username already exists")
user_db = get_user_by_id(db, user_id)
if not user_db:
raise HTTPException(status_code=404, detail="User not found")
try:
user_data = user.dict(exclude_unset=True)
for key, value in user_data.items():
setattr(user_db, key, value)
user_db.updated_at = datetime.now(timezone.utc)
user_db = db.merge(user_db)
db.commit()
if db.identity_key(instance=user_db) is not None:
db.refresh(user_db)
except IntegrityError as e:
db.rollback()
raise HTTPException(status_code=400, detail=str(e)) from e
return user_db
def update_user_last_login_at(user_id: UUID, db: Session = Depends(get_session)):
user_data = UserPatchModel(last_login_at=datetime.now(timezone.utc)) # type: ignore
return update_user(user_id, user_data, db)

3
src/backend/langflow/interface/custom/component.py
View file

@ -66,6 +66,9 @@ class Component(BaseModel):
elif "beta" in item_name:
template_config["beta"] = ast.literal_eval(item_value)
elif "documentation" in item_name:
template_config["documentation"] = ast.literal_eval(item_value)
return template_config
def build(self, *args: Any, **kwargs: Any) -> Any:

24
src/backend/langflow/interface/custom/custom_component.py
View file

@ -50,7 +50,9 @@ class CustomComponent(Component, extra=Extra.allow):
reader = DirectoryReader("", False)
for type_hint in TYPE_HINT_LIST:
if reader.is_type_hint_used_but_not_imported(type_hint, code):
if reader._is_type_hint_used_in_args(
"Optional", code
) and not reader._is_type_hint_imported("Optional", code):
error_detail = {
"error": "Type hint Error",
"traceback": f"Type hint '{type_hint}' is used but not imported in the code.",
@ -93,9 +95,9 @@ class CustomComponent(Component, extra=Extra.allow):
return build_method["args"]
@property
def get_function_entrypoint_return_type(self) -> str:
def get_function_entrypoint_return_type(self) -> List[str]:
if not self.code:
return ""
return []
tree = self.get_code_tree(self.code)
component_classes = [
@ -104,7 +106,7 @@ class CustomComponent(Component, extra=Extra.allow):
if self.code_class_base_inheritance in cls["bases"]
]
if not component_classes:
return ""
return []
# Assume the first Component class is the one we're interested in
component_class = component_classes[0]
@ -115,11 +117,21 @@ class CustomComponent(Component, extra=Extra.allow):
]
if not build_methods:
return ""
return []
build_method = build_methods[0]
return_type = build_method["return_type"]
if not return_type:
return []
# If the return type is not a Union, then we just return it as a list
if "Union" not in return_type:
return [return_type] if return_type in self.return_type_valid_list else []
return build_method["return_type"]
# If the return type is a Union, then we need to parse it
return_type = return_type.replace("Union", "").replace("[", "").replace("]", "")
return_type = return_type.split(",")
return_type = [item.strip() for item in return_type]
return [item for item in return_type if item in self.return_type_valid_list]
@property
def get_main_class_name(self):

29
src/backend/langflow/interface/custom/directory_reader.py
View file

@ -152,15 +152,19 @@ class DirectoryReader:
Check if a specific type hint is used in the
function definitions within the given code.
"""
module = ast.parse(code)
try:
module = ast.parse(code)
for node in ast.walk(module):
if isinstance(node, ast.FunctionDef):
for arg in node.args.args:
if self._is_type_hint_in_arg_annotation(
arg.annotation, type_hint_name
):
return True
for node in ast.walk(module):
if isinstance(node, ast.FunctionDef):
for arg in node.args.args:
if self._is_type_hint_in_arg_annotation(
arg.annotation, type_hint_name
):
return True
except SyntaxError:
# Returns False if the code is not valid Python
return False
return False
def _is_type_hint_in_arg_annotation(self, annotation, type_hint_name: str) -> bool:
@ -204,8 +208,13 @@ class DirectoryReader:
return False, "Syntax error"
elif not self.validate_build(file_content):
return False, "Missing build function"
elif self.is_type_hint_used_but_not_imported("Optional", file_content):
return False, "Type hint 'Optional' is used but not imported in the code."
elif self._is_type_hint_used_in_args(
"Optional", file_content
) and not self._is_type_hint_imported("Optional", file_content):
return (
False,
"Type hint 'Optional' is used but not imported in the code.",
)
else:
if self.compress_code_field:
file_content = str(StringCompressor(file_content).compress_string())

7
src/backend/langflow/interface/initialize/loading.py
View file

@ -116,9 +116,12 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
def instantiate_custom_component(node_type, class_object, params):
class_object = get_function_custom(params.pop("code"))
# we need to make a copy of the params because we will be
# modifying it
params_copy = params.copy()
class_object = get_function_custom(params_copy.pop("code"))
custom_component = class_object()
built_object = custom_component.build(**params)
built_object = custom_component.build(**params_copy)
return built_object, {"repr": custom_component.custom_repr()}

4
src/backend/langflow/interface/initialize/vector_store.py
View file

@ -130,8 +130,8 @@ def initialize_pinecone(class_object: Type[Pinecone], params: dict):
import pinecone # type: ignore
pinecone_api_key = params.get("pinecone_api_key")
pinecone_env = params.get("pinecone_env")
pinecone_api_key = params.pop("pinecone_api_key")
pinecone_env = params.pop("pinecone_env")
if pinecone_api_key is None or pinecone_env is None:
if os.getenv("PINECONE_API_KEY") is not None:

40
src/backend/langflow/interface/types.py
View file

@ -1,6 +1,6 @@
import ast
import contextlib
from typing import Any
from typing import Any, List
from langflow.api.utils import merge_nested_dicts_with_renaming
from langflow.interface.agents.base import agent_creator
from langflow.interface.chains.base import chain_creator
@ -199,6 +199,9 @@ def update_attributes(frontend_node, template_config):
if "beta" in template_config:
frontend_node["beta"] = template_config["beta"]
if "documentation" in template_config:
frontend_node["documentation"] = template_config["documentation"]
def build_field_config(custom_component: CustomComponent):
"""Build the field configuration for a custom component"""
@ -257,26 +260,27 @@ def get_field_properties(extra_field):
return field_name, field_type, field_value, field_required
def add_base_classes(frontend_node, return_type):
def add_base_classes(frontend_node, return_types: List[str]):
"""Add base classes to the frontend node"""
if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None:
raise HTTPException(
status_code=400,
detail={
"error": (
"Invalid return type should be one of: "
f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}"
),
"traceback": traceback.format_exc(),
},
)
for return_type in return_types:
if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None:
raise HTTPException(
status_code=400,
detail={
"error": (
"Invalid return type should be one of: "
f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}"
),
"traceback": traceback.format_exc(),
},
)
return_type_instance = CUSTOM_COMPONENT_SUPPORTED_TYPES.get(return_type)
base_classes = get_base_classes(return_type_instance)
return_type_instance = CUSTOM_COMPONENT_SUPPORTED_TYPES.get(return_type)
base_classes = get_base_classes(return_type_instance)
for base_class in base_classes:
if base_class not in CLASSES_TO_REMOVE:
frontend_node.get("base_classes").append(base_class)
for base_class in base_classes:
if base_class not in CLASSES_TO_REMOVE:
frontend_node.get("base_classes").append(base_class)
def build_langchain_template_custom_component(custom_component: CustomComponent):

9
src/backend/langflow/routers/login.py
View file

@ -2,6 +2,7 @@ from sqlalchemy.orm import Session
from fastapi import APIRouter, Depends, HTTPException, status
from fastapi.security import OAuth2PasswordRequestForm
from langflow.services.utils import get_session
from langflow.database.models.token import Token
from langflow.auth.auth import (
@ -15,10 +16,12 @@ router = APIRouter()
@router.post("/login", response_model=Token)
async def login_to_get_access_token(
form_data: OAuth2PasswordRequestForm = Depends(), db: Session = Depends(get_session)
form_data: OAuth2PasswordRequestForm = Depends(),
db: Session = Depends(get_session),
# _: Session = Depends(get_current_active_user)
):
if user := authenticate_user(db, form_data.username, form_data.password):
return create_user_tokens(user.username)
if user := authenticate_user(form_data.username, form_data.password, db):
return create_user_tokens(user_id=user.id, db=db)
else:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,

58
src/backend/langflow/routers/users.py
View file

@ -1,10 +1,10 @@
from typing import List
from uuid import UUID
from datetime import timezone, datetime
from sqlalchemy import func
from sqlalchemy.exc import IntegrityError
from fastapi import APIRouter, Depends, HTTPException
from sqlmodel import Session, select
from fastapi import APIRouter, Depends, HTTPException
from langflow.services.utils import get_session
from langflow.auth.auth import get_current_active_user, get_password_hash
@ -13,8 +13,8 @@ from langflow.database.models.user import (
UserAddModel,
UserListModel,
UserPatchModel,
get_user_by_id,
get_user_by_username,
UsersResponse,
update_user,
)
router = APIRouter(tags=["Login"])
@ -23,7 +23,6 @@ router = APIRouter(tags=["Login"])
@router.post("/user", response_model=UserListModel)
def add_user(
user: UserAddModel,
_: Session = Depends(get_current_active_user),
db: Session = Depends(get_session),
) -> User:
"""
@ -32,6 +31,7 @@ def add_user(
new_user = User(**user.dict())
try:
new_user.password = get_password_hash(user.password)
db.add(new_user)
db.commit()
db.refresh(new_user)
@ -50,24 +50,30 @@ def read_current_user(current_user: User = Depends(get_current_active_user)) ->
return current_user
@router.get("/users", response_model=List[UserListModel])
@router.get("/users", response_model=UsersResponse)
def read_all_users(
skip: int = 0,
limit: int = 10,
_: Session = Depends(get_current_active_user),
db: Session = Depends(get_session),
) -> List[UserListModel]:
) -> UsersResponse:
"""
Retrieve a list of users from the database with pagination.
"""
query = select(User).offset(skip).limit(limit)
users = db.execute(query).fetchall()
return [UserListModel(**dict(user.User)) for user in users]
count_query = select(func.count()).select_from(User) # type: ignore
total_count = db.execute(count_query).scalar()
return UsersResponse(
total_count=total_count, # type: ignore
users=[UserListModel(**dict(user.User)) for user in users],
)
@router.patch("/user/{user_id}", response_model=UserListModel)
def update_user(
def patch_user(
user_id: UUID,
user: UserPatchModel,
_: Session = Depends(get_current_active_user),
@ -76,29 +82,7 @@ def update_user(
"""
Update an existing user's data.
"""
user_db = get_user_by_username(db, user.username)
if user_db and user_db.id != user_id:
raise HTTPException(status_code=409, detail="Username already exists")
user_db = get_user_by_id(db, user_id)
if not user_db:
raise HTTPException(status_code=404, detail="User not found")
try:
user_data = user.dict(exclude_unset=True)
for key, value in user_data.items():
setattr(user_db, key, value)
user_db.updated_at = datetime.now(timezone.utc)
user_db = db.merge(user_db)
db.commit()
if db.identity_key(instance=user_db) is not None:
db.refresh(user_db)
except IntegrityError as e:
db.rollback()
raise HTTPException(status_code=400, detail=str(e)) from e
return user_db
return update_user(user_id, user, db)
@router.delete("/user/{user_id}")
@ -129,7 +113,13 @@ def add_super_user_for_testing_purposes_delete_me_before_merge_into_dev(
Add a superuser for testing purposes.
(This should be removed in production)
"""
new_user = User(username="superuser", password="12345", is_superuser=True)
new_user = User(
username="superuser",
password="12345",
is_active=True,
is_superuser=True,
last_login_at=None,
)
try:
new_user.password = get_password_hash(new_user.password)

31
src/frontend/src/components/headerComponent/index.tsx
View file

@ -34,19 +34,24 @@ export default function Header() {
return (
<div className="header-arrangement">
<div className="header-start-display">
<Link to="/">
<span className="ml-4 text-2xl">⛓️</span>
</Link>
<Button
onClick={() => {
logout();
navigate("/login");
}}
variant="outline"
className=""
>
Sign out
</Button>
{tabId === "" || !tabId ? (
<div className="ml-2">
<a
href="https://www.langflow.org/"
target="_blank"
rel="noreferrer"
className="header-waitlist-link-box"
>
<span className="pr-1 text-2xl">⛓️</span>
<span>Join The Waitlist</span>
</a>
</div>
) : (
<Link to="/">
<span className="ml-4 text-2xl">⛓️</span>
</Link>
)}
{flows.findIndex((f) => tabId === f.id) !== -1 && tabId !== "" && (
<MenuBar flows={flows} tabId={tabId} />
)}

6
src/frontend/src/style/applies.css
View file

@ -495,6 +495,12 @@
.header-github-link-box {
@apply inline-flex h-9 items-center justify-center rounded-md border border-input px-3 pr-0 shadow-sm;
}
.header-waitlist-link-box {
@apply inline-flex h-9 items-center justify-center rounded-md border border-input px-2 shadow-sm text-sm font-medium text-muted-foreground ring-offset-background disabled:pointer-events-none disabled:opacity-50 whitespace-nowrap;
}
.header-waitlist-link-box:hover {
@apply hover:bg-accent hover:text-accent-foreground;
}
.header-github-link {
@apply header-github-link-box text-sm font-medium text-muted-foreground ring-offset-background disabled:pointer-events-none disabled:opacity-50;
}

6
tests/test_custom_component.py
View file

@ -241,7 +241,7 @@ def test_custom_component_get_function_entrypoint_return_type():
code=code_default, function_entrypoint_name="build"
)
return_type = custom_component.get_function_entrypoint_return_type
assert return_type == "Document"
assert return_type == ["Document"]
def test_custom_component_get_main_class_name():
@ -436,7 +436,7 @@ class MyClass(CustomComponent):
custom_component = CustomComponent(code=my_code, function_entrypoint_name="build")
return_type = custom_component.get_function_entrypoint_return_type
assert return_type is None
assert return_type == []
def test_custom_component_get_main_class_name_no_main_class():
@ -469,7 +469,7 @@ def test_build_config_no_code():
component = CustomComponent(code=None)
assert component.get_function_entrypoint_args == ""
assert component.get_function_entrypoint_return_type == ""
assert component.get_function_entrypoint_return_type == []
@pytest.fixture

3
tests/test_vectorstore_template.py
View file

@ -10,4 +10,5 @@ def test_vectorstores_settings(client: TestClient):
assert response.status_code == 200
json_response = response.json()
vectorstores = json_response["vectorstores"]
assert set(vectorstores.keys()) == set(settings_manager.settings.VECTORSTORES)
settings_vecs = set(settings_manager.settings.VECTORSTORES)
assert all(vs in vectorstores for vs in settings_vecs)