Merge remote-tracking branch 'origin/form_io' into python_custom_node_component
Merge remote-tracking branch 'origin/form_io' into python_custom_node_component - Updated the README files to correct the spelling of "Langflow" in various places. - Added a new `.env.example` file for reference and configuration. - Updated the CONTRIBUTING.md file to use "Langflow" instead of "LangFlow". - Updated the GCP_DEPLOYMENT.md file to use the correct GitHub repository URL. - Updated the README file to use "Langflow" instead of "LangFlow" and corrected the formatting of the table of contents. - Updated the CLI usage instructions in the README file to use "Langflow" and provided more detailed explanations of each option. - Added a section on Deployment in the README file with instructions for deploying Langflow on Google Cloud Platform. - Updated the "Creating Flows" section in the README file to use "Langflow" instead of "LangFlow" and corrected the link to the LangChain components. - Updated the "Contributing" section in the README file to use "Langflow" instead of "LangFlow" and corrected the link to the contributing guidelines. - Updated the "License" section in the README file to use "Langflow" instead of "LangFlow". - Updated the version of the "anyio" package in the poetry.lock file to 3.7.1. Merge remote-tracking branch 'origin/form_io' into python_custom_node_component - Updated the README files to correct the spelling of "Langflow" in various places. - Added a new `.env.example` file for reference and configuration. - Updated the CONTRIBUTING.md file to use "Langflow" instead of "Langflow". - Updated the GCP_DEPLOYMENT.md file to use the correct GitHub repository URL. - Updated the README file to use "Langflow" instead of "Langflow" and corrected the formatting of the table of contents. - Updated the CLI usage instructions in the README file to use "Langflow" and provided more detailed explanations of each option. - Added a section on Deployment in the README file with instructions for deploying Langflow on Google Cloud Platform. - Updated the "Creating Flows" section in the README file to use "Langflow" instead of "Langflow" and corrected the link to the LangChain components. - Updated the "Contributing" section in the README file to use "Langflow" instead of "Langflow" and corrected the link to the contributing guidelines. - Updated the "License" section in the README file to use "Langflow" instead of "Langflow". - Updated the version of the "anyio" package in the poetry.lock file to 3.7.1. Merge remote-tracking branch 'origin/form_io' into python_custom_node_component - Updated the README files to correct the spelling of "Langflow" in various places. - Added a new `.env.example` file for reference and configuration. - Updated the CONTRIBUTING.md file to use "Langflow" instead of "Langflow". - Updated the GCP_DEPLOYMENT.md file to use the correct GitHub repository URL. - Updated the README file to use "Langflow" instead of "Langflow" and corrected the formatting of the table of contents. - Updated the CLI usage instructions in the README file to use "Langflow" and provided more detailed explanations of each option. - Added a section on Deployment in the README file with instructions for deploying Langflow on Google Cloud Platform. - Updated the "Creating Flows" section in the README file to use "Langflow" instead of "Langflow" and corrected the link to the LangChain components. - Updated the "Contributing" section in the README file to use "
This commit is contained in:
gustavoschaedler
commit
da9764b3c5
126 changed files with 3072 additions and 1372 deletions
|
|
@ -1,3 +1,4 @@
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|||
import os
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import sys
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import time
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import httpx
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|
|
@ -33,6 +34,10 @@ def update_settings(
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remove_api_keys: bool = False,
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||||
):
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"""Update the settings from a config file."""
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# Check for database_url in the environment variables
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database_url = database_url or os.getenv("langflow_database_url")
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if config:
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settings.update_from_yaml(config, dev=dev)
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if database_url:
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|
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@ -43,6 +48,26 @@ def update_settings(
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settings.update_settings(cache=cache)
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def load_params():
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"""
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Load the parameters from the environment variables.
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"""
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global_vars = globals()
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for key, value in global_vars.items():
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env_key = f"LANGFLOW_{key.upper()}"
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if env_key in os.environ:
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if isinstance(value, bool):
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# Handle booleans
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global_vars[key] = os.getenv(env_key, str(value)).lower() == "true"
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elif isinstance(value, int):
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# Handle integers
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global_vars[key] = int(os.getenv(env_key, str(value)))
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elif isinstance(value, str) or value is None:
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# Handle strings and None values
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global_vars[key] = os.getenv(env_key, str(value))
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def serve_on_jcloud():
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"""
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Deploy Langflow server on Jina AI Cloud
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@ -91,19 +116,27 @@ def serve_on_jcloud():
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@app.command()
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def serve(
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host: str = typer.Option("127.0.0.1", help="Host to bind the server to."),
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workers: int = typer.Option(1, help="Number of worker processes."),
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host: str = typer.Option(
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"127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST"
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),
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workers: int = typer.Option(
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1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS"
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),
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timeout: int = typer.Option(60, help="Worker timeout in seconds."),
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port: int = typer.Option(7860, help="Port to listen on."),
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port: int = typer.Option(7860, help="Port to listen on.", envvar="LANGFLOW_PORT"),
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config: str = typer.Option("config.yaml", help="Path to the configuration file."),
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# .env file param
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env_file: Path = typer.Option(
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".env", help="Path to the .env file containing environment variables."
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),
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log_level: str = typer.Option("critical", help="Logging level."),
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log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file."),
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cache: str = typer.Argument(
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envvar="LANGCHAIN_CACHE",
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log_level: str = typer.Option(
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"critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"
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),
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log_file: Path = typer.Option(
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"logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE"
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),
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cache: str = typer.Option(
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envvar="LANGFLOW_LANGCHAIN_CACHE",
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help="Type of cache to use. (InMemoryCache, SQLiteCache)",
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default="SQLiteCache",
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),
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@ -112,27 +145,35 @@ def serve(
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database_url: str = typer.Option(
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None,
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help="Database URL to connect to. If not provided, a local SQLite database will be used.",
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envvar="LANGFLOW_DATABASE_URL",
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),
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path: str = typer.Option(
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None,
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help="Path to the frontend directory containing build files. This is for development purposes only.",
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envvar="LANGFLOW_FRONTEND_PATH",
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),
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open_browser: bool = typer.Option(
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True, help="Open the browser after starting the server."
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True,
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help="Open the browser after starting the server.",
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envvar="LANGFLOW_OPEN_BROWSER",
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),
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remove_api_keys: bool = typer.Option(
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False, help="Remove API keys from the projects saved in the database."
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False,
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help="Remove API keys from the projects saved in the database.",
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envvar="LANGFLOW_REMOVE_API_KEYS",
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),
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):
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"""
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Run the Langflow server.
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"""
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# override env variables with .env file
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if env_file:
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load_dotenv(env_file, override=True)
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load_params()
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if jcloud:
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return serve_on_jcloud()
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load_dotenv(env_file)
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configure(log_level=log_level, log_file=log_file)
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update_settings(
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config,
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|
|
@ -224,7 +265,7 @@ def get_free_port(port):
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def print_banner(host, port):
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# console = Console()
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word = "LangFlow"
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word = "Langflow"
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colors = ["#3300cc"]
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||||
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styled_word = ""
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||||
|
|
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|||
|
|
@ -14,7 +14,7 @@ class Code(BaseModel):
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|||
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||||
class FrontendNodeRequest(FrontendNode):
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template: dict
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||||
template: dict # type: ignore
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||||
|
||||
|
||||
class ValidatePromptRequest(BaseModel):
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||||
|
|
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|||
|
|
@ -23,7 +23,7 @@ class GraphData(BaseModel):
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|||
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||||
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class ExportedFlow(BaseModel):
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"""Exported flow from LangFlow."""
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"""Exported flow from Langflow."""
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description: str
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name: str
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|
|
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|||
|
|
@ -21,6 +21,10 @@ async def process_graph(
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# Generate result and thought
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try:
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if not chat_inputs.message:
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logger.debug("No message provided")
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raise ValueError("No message provided")
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logger.debug("Generating result and thought")
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result, intermediate_steps = await get_result_and_steps(
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langchain_object, chat_inputs.message, websocket=websocket
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||||
|
|
|
|||
|
|
@ -153,6 +153,7 @@ memories:
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documentation: "https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory"
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MongoDBChatMessageHistory:
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documentation: "https://python.langchain.com/docs/modules/memory/integrations/mongodb_chat_message_history"
|
||||
prompts:
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ChatMessagePromptTemplate:
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documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates"
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||||
HumanMessagePromptTemplate:
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||||
|
|
@ -161,7 +162,6 @@ memories:
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|||
documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts"
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ChatPromptTemplate:
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documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts"
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prompts:
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PromptTemplate:
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documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/"
|
||||
textsplitters:
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||||
|
|
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|||
|
|
@ -23,6 +23,7 @@ CUSTOM_NODES = {
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|||
},
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"memories": {
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"PostgresChatMessageHistory": frontend_node.memories.PostgresChatMessageHistoryFrontendNode(),
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"MongoDBChatMessageHistory": frontend_node.memories.MongoDBChatMessageHistoryFrontendNode(),
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},
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"chains": {
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||||
"SeriesCharacterChain": frontend_node.chains.SeriesCharacterChainNode(),
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||||
|
|
|
|||
|
|
@ -2,17 +2,34 @@ from langflow.settings import settings
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|||
from sqlmodel import SQLModel, Session, create_engine
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||||
from langflow.utils.logger import logger
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||||
|
||||
if settings.database_url.startswith("sqlite"):
|
||||
if settings.database_url and settings.database_url.startswith("sqlite"):
|
||||
connect_args = {"check_same_thread": False}
|
||||
else:
|
||||
connect_args = {}
|
||||
if not settings.database_url:
|
||||
raise RuntimeError("No database_url provided")
|
||||
engine = create_engine(settings.database_url, connect_args=connect_args)
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||||
|
||||
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||||
def create_db_and_tables():
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||||
logger.debug("Creating database and tables")
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||||
SQLModel.metadata.create_all(engine)
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||||
logger.debug("Database and tables created")
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||||
try:
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||||
SQLModel.metadata.create_all(engine)
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||||
except Exception as exc:
|
||||
logger.error(f"Error creating database and tables: {exc}")
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raise RuntimeError("Error creating database and tables") from exc
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# Now check if the table Flow exists, if not, something went wrong
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||||
# and we need to create the tables again.
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from sqlalchemy import inspect
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||||
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||||
inspector = inspect(engine)
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||||
if "flow" not in inspector.get_table_names():
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||||
logger.error("Something went wrong creating the database and tables.")
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||||
logger.error("Please check your database settings.")
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||||
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raise RuntimeError("Something went wrong creating the database and tables.")
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||||
else:
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||||
logger.debug("Database and tables created successfully")
|
||||
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||||
|
||||
def get_session():
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||||
|
|
|
|||
|
|
@ -217,7 +217,7 @@ class Vertex:
|
|||
self.edges.append(edge)
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f"Node(id={self.id}, data={self.data})"
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||||
return f"Vertex(id={self.id}, data={self.data})"
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||||
|
||||
def __eq__(self, __o: object) -> bool:
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||||
return self.id == __o.id if isinstance(__o, Vertex) else False
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|
|
|
|||
|
|
@ -127,7 +127,7 @@ def instantiate_memory(node_type, class_object, params):
|
|||
# process input_key and output_key to remove them if
|
||||
# they are empty strings
|
||||
for key in ["input_key", "output_key"]:
|
||||
if key in params and not params[key]:
|
||||
if key in params and (params[key] == "" or not params[key]):
|
||||
params.pop(key)
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||||
|
||||
try:
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||||
|
|
@ -205,7 +205,7 @@ def instantiate_prompt(node_type, class_object, params: Dict):
|
|||
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||||
prompt = class_object(**params)
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||||
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||||
format_kwargs = {}
|
||||
format_kwargs: Dict[str, Any] = {}
|
||||
for input_variable in prompt.input_variables:
|
||||
if input_variable in params:
|
||||
variable = params[input_variable]
|
||||
|
|
|
|||
|
|
@ -66,17 +66,24 @@ def extract_input_variables_from_prompt(prompt: str) -> list[str]:
|
|||
def setup_llm_caching():
|
||||
"""Setup LLM caching."""
|
||||
|
||||
from langflow.settings import settings
|
||||
|
||||
try:
|
||||
import langchain
|
||||
from langflow.settings import settings
|
||||
from langflow.interface.importing.utils import import_class
|
||||
|
||||
cache_class = import_class(f"langchain.cache.{settings.cache}")
|
||||
|
||||
logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
|
||||
langchain.llm_cache = cache_class()
|
||||
logger.info(f"LLM caching setup with {cache_class.__name__}")
|
||||
set_langchain_cache(settings)
|
||||
except ImportError:
|
||||
logger.warning(f"Could not import {settings.cache}. ")
|
||||
except Exception as exc:
|
||||
logger.warning(f"Could not setup LLM caching. Error: {exc}")
|
||||
|
||||
|
||||
# TODO Rename this here and in `setup_llm_caching`
|
||||
def set_langchain_cache(settings):
|
||||
import langchain
|
||||
from langflow.interface.importing.utils import import_class
|
||||
|
||||
cache_type = os.getenv("LANGFLOW_LANGCHAIN_CACHE")
|
||||
cache_class = import_class(f"langchain.cache.{cache_type or settings.cache}")
|
||||
|
||||
logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
|
||||
langchain.llm_cache = cache_class()
|
||||
logger.info(f"LLM caching setup with {cache_class.__name__}")
|
||||
|
|
|
|||
|
|
@ -1,16 +1,15 @@
|
|||
# This file is used by lc-serve to load the mounted app and serve it.
|
||||
|
||||
from pathlib import Path
|
||||
import os
|
||||
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
# Use the JCLOUD_WORKSPACE for db URL if it's provided by JCloud.
|
||||
if "JCLOUD_WORKSPACE" in os.environ:
|
||||
os.environ[
|
||||
"LANGFLOW_DATABASE_URL"
|
||||
] = f"sqlite:///{os.environ['JCLOUD_WORKSPACE']}/langflow.db"
|
||||
|
||||
from langflow.main import create_app
|
||||
from langflow.main import setup_app
|
||||
from langflow.utils.logger import configure
|
||||
|
||||
app = create_app()
|
||||
path = Path(__file__).parent
|
||||
static_files_dir = path / "frontend"
|
||||
app.mount(
|
||||
"/",
|
||||
StaticFiles(directory=static_files_dir, html=True),
|
||||
name="static",
|
||||
)
|
||||
configure(log_level="DEBUG")
|
||||
app = setup_app()
|
||||
|
|
|
|||
|
|
@ -61,7 +61,7 @@ def setup_static_files(app: FastAPI, static_files_dir: Path):
|
|||
|
||||
# app = create_app()
|
||||
# setup_static_files(app, static_files_dir)
|
||||
def setup_app(static_files_dir: Optional[Path]) -> FastAPI:
|
||||
def setup_app(static_files_dir: Optional[Path] = None) -> FastAPI:
|
||||
"""Setup the FastAPI app."""
|
||||
# get the directory of the current file
|
||||
if not static_files_dir:
|
||||
|
|
|
|||
|
|
@ -1,3 +1,4 @@
|
|||
from typing import Union
|
||||
from langflow.api.v1.callback import (
|
||||
AsyncStreamingLLMCallbackHandler,
|
||||
StreamingLLMCallbackHandler,
|
||||
|
|
@ -6,7 +7,7 @@ from langflow.processing.process import fix_memory_inputs, format_actions
|
|||
from langflow.utils.logger import logger
|
||||
|
||||
|
||||
async def get_result_and_steps(langchain_object, inputs: dict, **kwargs):
|
||||
async def get_result_and_steps(langchain_object, inputs: Union[dict, str], **kwargs):
|
||||
"""Get result and thought from extracted json"""
|
||||
|
||||
try:
|
||||
|
|
|
|||
|
|
@ -1,4 +1,5 @@
|
|||
import os
|
||||
from typing import Optional
|
||||
|
||||
import yaml
|
||||
from pydantic import BaseSettings, root_validator
|
||||
|
|
@ -24,16 +25,18 @@ class Settings(BaseSettings):
|
|||
custom_components: dict = {}
|
||||
|
||||
dev: bool = False
|
||||
database_url: str
|
||||
database_url: Optional[str] = None
|
||||
cache: str = "InMemoryCache"
|
||||
remove_api_keys: bool = False
|
||||
|
||||
@root_validator(pre=True)
|
||||
def set_database_url(cls, values):
|
||||
if "database_url" not in values:
|
||||
logger.debug("No database_url provided, trying DATABASE_URL env variable")
|
||||
if database_url := os.getenv("DATABASE_URL"):
|
||||
values["database_url"] = database_url
|
||||
logger.debug(
|
||||
"No database_url provided, trying LANGFLOW_DATABASE_URL env variable"
|
||||
)
|
||||
if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"):
|
||||
values["database_url"] = langflow_database_url
|
||||
else:
|
||||
logger.debug("No DATABASE_URL env variable, using sqlite database")
|
||||
values["database_url"] = "sqlite:///./langflow.db"
|
||||
|
|
@ -42,7 +45,6 @@ class Settings(BaseSettings):
|
|||
class Config:
|
||||
validate_assignment = True
|
||||
extra = "ignore"
|
||||
env_prefix = "LANGFLOW_"
|
||||
|
||||
@root_validator(allow_reuse=True)
|
||||
def validate_lists(cls, values):
|
||||
|
|
|
|||
|
|
@ -19,8 +19,7 @@ class AgentFrontendNode(FrontendNode):
|
|||
if field.name in ["suffix", "prefix"]:
|
||||
field.show = True
|
||||
if field.name == "Tools" and name == "ZeroShotAgent":
|
||||
# field.
|
||||
field.type_name = "BaseTool"
|
||||
field.field_type = "BaseTool"
|
||||
field.is_list = True
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -33,7 +33,6 @@ class DocumentLoaderFrontNode(FrontendNode):
|
|||
"SlackDirectoryLoader": build_file_field(suffixes=[".zip"], fileTypes=["zip"]),
|
||||
"EverNoteLoader": build_file_field(suffixes=[".xml"], fileTypes=["xml"]),
|
||||
"FacebookChatLoader": build_file_field(suffixes=[".json"], fileTypes=["json"]),
|
||||
"GutenbergLoader": build_file_field(suffixes=[".txt"], fileTypes=["txt"]),
|
||||
"BSHTMLLoader": build_file_field(suffixes=[".html"], fileTypes=["html"]),
|
||||
"UnstructuredHTMLLoader": build_file_field(
|
||||
suffixes=[".html"], fileTypes=["html"]
|
||||
|
|
@ -116,8 +115,11 @@ class DocumentLoaderFrontNode(FrontendNode):
|
|||
"HNLoader",
|
||||
"IFixitLoader",
|
||||
"IMSDbLoader",
|
||||
"GutenbergLoader",
|
||||
}:
|
||||
name = "web_path"
|
||||
elif self.template.type_name in {"GutenbergLoader"}:
|
||||
name = "file_path"
|
||||
elif self.template.type_name in {"GitbookLoader"}:
|
||||
name = "web_page"
|
||||
elif self.template.type_name in {
|
||||
|
|
|
|||
|
|
@ -4,6 +4,10 @@ from langflow.template.field.base import TemplateField
|
|||
from langflow.template.frontend_node.base import FrontendNode
|
||||
from langflow.template.template.base import Template
|
||||
from langchain.memory.chat_message_histories.postgres import DEFAULT_CONNECTION_STRING
|
||||
from langchain.memory.chat_message_histories.mongodb import (
|
||||
DEFAULT_COLLECTION_NAME,
|
||||
DEFAULT_DBNAME,
|
||||
)
|
||||
|
||||
|
||||
class MemoryFrontendNode(FrontendNode):
|
||||
|
|
@ -120,3 +124,56 @@ class PostgresChatMessageHistoryFrontendNode(MemoryFrontendNode):
|
|||
)
|
||||
description: str = "Memory store with Postgres"
|
||||
base_classes: list[str] = ["PostgresChatMessageHistory", "BaseChatMessageHistory"]
|
||||
|
||||
|
||||
class MongoDBChatMessageHistoryFrontendNode(MemoryFrontendNode):
|
||||
name: str = "MongoDBChatMessageHistory"
|
||||
template: Template = Template(
|
||||
# langchain/memory/chat_message_histories/mongodb.py
|
||||
# connection_string: str,
|
||||
# session_id: str,
|
||||
# database_name: str = DEFAULT_DBNAME,
|
||||
# collection_name: str = DEFAULT_COLLECTION_NAME,
|
||||
type_name="MongoDBChatMessageHistory",
|
||||
fields=[
|
||||
TemplateField(
|
||||
field_type="str",
|
||||
required=True,
|
||||
placeholder="",
|
||||
is_list=False,
|
||||
show=True,
|
||||
multiline=False,
|
||||
name="session_id",
|
||||
),
|
||||
TemplateField(
|
||||
field_type="str",
|
||||
required=True,
|
||||
show=True,
|
||||
name="connection_string",
|
||||
value="",
|
||||
info="MongoDB connection string (e.g mongodb://mongo_user:password123@mongo:27017)",
|
||||
),
|
||||
TemplateField(
|
||||
field_type="str",
|
||||
required=True,
|
||||
placeholder="",
|
||||
is_list=False,
|
||||
show=True,
|
||||
multiline=False,
|
||||
value=DEFAULT_DBNAME,
|
||||
name="database_name",
|
||||
),
|
||||
TemplateField(
|
||||
field_type="str",
|
||||
required=True,
|
||||
placeholder="",
|
||||
is_list=False,
|
||||
show=True,
|
||||
multiline=False,
|
||||
value=DEFAULT_COLLECTION_NAME,
|
||||
name="collection_name",
|
||||
),
|
||||
],
|
||||
)
|
||||
description: str = "Memory store with MongoDB"
|
||||
base_classes: list[str] = ["MongoDBChatMessageHistory", "BaseChatMessageHistory"]
|
||||
|
|
|
|||
|
|
@ -65,6 +65,7 @@ class VectorStoreFrontendNode(FrontendNode):
|
|||
show=True,
|
||||
advanced=True,
|
||||
multiline=False,
|
||||
password=True,
|
||||
value="",
|
||||
)
|
||||
extra_field2 = TemplateField(
|
||||
|
|
@ -142,6 +143,7 @@ class VectorStoreFrontendNode(FrontendNode):
|
|||
show=True,
|
||||
advanced=True,
|
||||
multiline=False,
|
||||
password=True,
|
||||
value="",
|
||||
)
|
||||
extra_fields.extend((extra_field, extra_field2, extra_field3, extra_field4))
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue