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Merge branch 'release' into dev

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Gabriel Luiz Freitas Almeida 2023-07-02 15:54:38 -03:00
commit 91fe9c653f
15 changed files with 582 additions and 1106 deletions
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@ -150,21 +150,21 @@ files = [
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@ -973,14 +973,14 @@ tests = ["pytest"]
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@ -2998,14 +2998,14 @@ test = ["psutil", "pytest", "pytest-asyncio"]
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]
[package.extras]
@ -7175,14 +7163,14 @@ test = ["coverage", "pytest", "pytest-cov"]
[[package]]
name = "unstructured"
version = "0.7.11"
version = "0.7.12"
description = "A library that prepares raw documents for downstream ML tasks."
category = "main"
optional = false
python-versions = ">=3.7.0"
files = [
{file = "unstructured-0.7.11-py3-none-any.whl", hash = "sha256:1974828f7e8b5e0935c52b468bd5879a962122ed41433db9d36ec1ccbb3b9f78"},
{file = "unstructured-0.7.11.tar.gz", hash = "sha256:0cd7119f2b3a5d60fa4df50c0cd8b24c9c5fbdc1baa4daf0a6d8daf05d616a2b"},
{file = "unstructured-0.7.12-py3-none-any.whl", hash = "sha256:6dec4f23574e213f30bccb680a4fb84c95617092ce4abf5d8955cc71af402fef"},
{file = "unstructured-0.7.12.tar.gz", hash = "sha256:3dcddea34f52e1070f38fd10063b3b0f64bc4cbe5b778d6b86b5d33262d625cd"},
]
[package.dependencies]
@ -7209,6 +7197,7 @@ xlrd = "*"
[package.extras]
azure = ["adlfs", "fsspec"]
discord = ["discord-py"]
dropbox = ["dropboxdrivefs", "fsspec"]
gcs = ["fsspec", "gcsfs"]
github = ["pygithub (==1.58.2)"]
gitlab = ["python-gitlab"]

2
pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "0.2.8"
version = "0.2.10"
description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"]
maintainers = [

2
src/backend/langflow/__main__.py
View file

@ -271,7 +271,7 @@ def run_langflow(host, port, log_level, options, app):
except KeyboardInterrupt:
pass
except Exception as e:
logger.error(e)
logger.exception(e)
sys.exit(1)

2
src/backend/langflow/config.yaml
View file

@ -59,6 +59,8 @@ documentloaders:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
UnstructuredMarkdownLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown"
PyPDFDirectoryLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf"
PyPDFLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf"
UnstructuredPowerPointLoader:

4
src/backend/langflow/database/base.py
View file

@ -1,6 +1,6 @@
from langflow.settings import settings
from sqlmodel import SQLModel, Session, create_engine
from langflow.utils.logger import logger
if settings.database_url.startswith("sqlite"):
connect_args = {"check_same_thread": False}
@ -10,7 +10,9 @@ engine = create_engine(settings.database_url, connect_args=connect_args)
def create_db_and_tables():
logger.debug("Creating database and tables")
SQLModel.metadata.create_all(engine)
logger.debug("Database and tables created")
def get_session():

2
src/backend/langflow/interface/initialize/loading.py
View file

@ -100,6 +100,8 @@ def instantiate_llm(node_type, class_object, params: Dict):
def instantiate_memory(node_type, class_object, params):
try:
if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
params["retriever"] = params["retriever"].as_retriever()
return class_object(**params)
# I want to catch a specific attribute error that happens
# when the object does not have a cursor attribute

10
src/backend/langflow/interface/run.py
View file

@ -62,6 +62,10 @@ def update_memory_keys(langchain_object, possible_new_mem_key):
if key not in [langchain_object.memory.memory_key, possible_new_mem_key]
][0]
langchain_object.memory.input_key = input_key
langchain_object.memory.output_key = output_key
langchain_object.memory.memory_key = possible_new_mem_key
keys = [input_key, output_key, possible_new_mem_key]
attrs = ["input_key", "output_key", "memory_key"]
for key, attr in zip(keys, attrs):
try:
setattr(langchain_object.memory, attr, key)
except ValueError as exc:
logger.debug(f"{langchain_object.memory} has no attribute {attr} ({exc})")

1
src/backend/langflow/processing/base.py
View file

@ -51,5 +51,6 @@ async def get_result_and_steps(langchain_object, message: str, **kwargs):
)
thought = format_actions(intermediate_steps) if intermediate_steps else ""
except Exception as exc:
logger.exception(exc)
raise ValueError(f"Error: {str(exc)}") from exc
return result, thought

14
src/backend/langflow/settings.py
View file

@ -2,6 +2,7 @@ import os
import yaml
from pydantic import BaseSettings, root_validator
from langflow.utils.logger import logger
class Settings(BaseSettings):
@ -20,10 +21,21 @@ class Settings(BaseSettings):
textsplitters: dict = {}
utilities: dict = {}
dev: bool = False
database_url: str = "sqlite:///./langflow.db"
database_url: str
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
else:
logger.debug("No DATABASE_URL env variable, using sqlite database")
values["database_url"] = "sqlite:///./langflow.db"
return values
class Config:
validate_assignment = True
extra = "ignore"

118
src/backend/langflow/template/frontend_node/documentloaders.py
View file

@ -120,29 +120,23 @@ class DocumentLoaderFrontNode(FrontendNode):
"DirectoryLoader",
"ReadTheDocsLoader",
"NotionDirectoryLoader",
"PyPDFDirectoryLoader",
}:
name = "path"
display_name = "Local directory"
if name:
self.template.add_field(
TemplateField(
field_type="str",
required=True,
show=True,
name=name,
value="",
display_name=display_name,
)
)
if self.template.type_name in {"DirectoryLoader"}:
for field in build_directory_loader_fields():
self.template.add_field(field)
else:
self.template.add_field(
TemplateField(
field_type="str",
required=True,
show=True,
name="glob",
value="**/*.txt",
display_name="glob",
name=name,
value="",
display_name=display_name,
)
)
# add a metadata field of type dict
@ -165,3 +159,101 @@ class DocumentLoaderFrontNode(FrontendNode):
field.show = True
field.advanced = False
field.show = True
def build_directory_loader_fields():
# if loader_kwargs is None:
# loader_kwargs = {}
# self.path = path
# self.glob = glob
# self.load_hidden = load_hidden
# self.loader_cls = loader_cls
# self.loader_kwargs = loader_kwargs
# self.silent_errors = silent_errors
# self.recursive = recursive
# self.show_progress = show_progress
# self.use_multithreading = use_multithreading
# self.max_concurrency = max_concurrency
# Based on the above fields, we can build the following fields:
# path, glob, load_hidden, silent_errors, recursive, show_progress, use_multithreading, max_concurrency
# path
path = TemplateField(
field_type="str",
required=True,
show=True,
name="path",
value="",
display_name="Local directory",
advanced=False,
)
# glob
glob = TemplateField(
field_type="str",
required=True,
show=True,
name="glob",
value="**/*.txt",
display_name="glob",
advanced=False,
)
# load_hidden
load_hidden = TemplateField(
field_type="bool",
required=False,
show=True,
name="load_hidden",
value="False",
display_name="Load hidden files",
advanced=True,
)
# silent_errors
silent_errors = TemplateField(
field_type="bool",
required=False,
show=True,
name="silent_errors",
value="False",
display_name="Silent errors",
advanced=True,
)
# recursive
recursive = TemplateField(
field_type="bool",
required=False,
show=True,
name="recursive",
value="True",
display_name="Recursive",
advanced=True,
)
# use_multithreading
use_multithreading = TemplateField(
field_type="bool",
required=False,
show=True,
name="use_multithreading",
value="True",
display_name="Use multithreading",
advanced=True,
)
# max_concurrency
max_concurrency = TemplateField(
field_type="int",
required=False,
show=True,
name="max_concurrency",
value=10,
display_name="Max concurrency",
advanced=True,
)
return (
path,
glob,
load_hidden,
silent_errors,
recursive,
use_multithreading,
max_concurrency,
)

19
src/backend/langflow/template/frontend_node/memories.py
View file

@ -37,16 +37,17 @@ class MemoryFrontendNode(FrontendNode):
value="",
)
)
self.template.add_field(
TemplateField(
field_type="str",
required=False,
show=True,
name="output_key",
advanced=True,
value="",
if self.template.type_name not in {"VectorStoreRetrieverMemory"}:
self.template.add_field(
TemplateField(
field_type="str",
required=False,
show=True,
name="output_key",
advanced=True,
value="",
)
)
)
@staticmethod
def format_field(field: TemplateField, name: Optional[str] = None) -> None:

251
src/frontend/src/constants.tsx
View file

@ -194,257 +194,6 @@ export const NAV_DISPLAY_STYLE =
export const BUTTON_DIV_STYLE = " flex gap-2 ";
(" focus:ring-1 focus:ring-offset-1 focus:ring-ring focus:outline-none ");
/**
* Default description for the flow
* @constant
*/
export const DESCRIPTIONS: string[] = [
"Chain the Words, Master Language!",
"Language Architect at Work!",
"Empowering Language Engineering.",
"Craft Language Connections Here.",
"Create, Connect, Converse.",
"Smart Chains, Smarter Conversations.",
"Bridging Prompts for Brilliance.",
"Language Models, Unleashed.",
"Your Hub for Text Generation.",
"Promptly Ingenious!",
"Building Linguistic Labyrinths.",
"LangFlow: Create, Chain, Communicate.",
"Connect the Dots, Craft Language.",
"Interactive Language Weaving.",
"Generate, Innovate, Communicate.",
"Conversation Catalyst Engine.",
"Language Chainlink Master.",
"Design Dialogues with LangFlow.",
"Nurture NLP Nodes Here.",
"Conversational Cartography Unlocked.",
"Design, Develop, Dialogize.",
];
/**
* Adjectives for the name of the flow
* @constant
*
*/
export const ADJECTIVES: string[] = [
"admiring",
"adoring",
"agitated",
"amazing",
"angry",
"awesome",
"backstabbing",
"berserk",
"big",
"boring",
"clever",
"cocky",
"compassionate",
"condescending",
"cranky",
"desperate",
"determined",
"distracted",
"dreamy",
"drunk",
"ecstatic",
"elated",
"elegant",
"evil",
"fervent",
"focused",
"furious",
"gigantic",
"gloomy",
"goofy",
"grave",
"happy",
"high",
"hopeful",
"hungry",
"insane",
"jolly",
"jovial",
"kickass",
"lonely",
"loving",
"mad",
"modest",
"naughty",
"nauseous",
"nostalgic",
"pedantic",
"pensive",
"prickly",
"reverent",
"romantic",
"sad",
"serene",
"sharp",
"sick",
"silly",
"sleepy",
"small",
"stoic",
"stupefied",
"suspicious",
"tender",
"thirsty",
"tiny",
"trusting",
];
/**
* Nouns for the name of the flow
* @constant
*
*/
export const NOUNS: string[] = [
"albattani",
"allen",
"almeida",
"archimedes",
"ardinghelli",
"aryabhata",
"austin",
"babbage",
"banach",
"bardeen",
"bartik",
"bassi",
"bell",
"bhabha",
"bhaskara",
"blackwell",
"bohr",
"booth",
"borg",
"bose",
"boyd",
"brahmagupta",
"brattain",
"brown",
"carson",
"chandrasekhar",
"colden",
"cori",
"cray",
"curie",
"darwin",
"davinci",
"dijkstra",
"dubinsky",
"easley",
"einstein",
"elion",
"engelbart",
"euclid",
"euler",
"fermat",
"fermi",
"feynman",
"franklin",
"galileo",
"gates",
"goldberg",
"goldstine",
"goldwasser",
"golick",
"goodall",
"hamilton",
"hawking",
"heisenberg",
"heyrovsky",
"hodgkin",
"hoover",
"hopper",
"hugle",
"hypatia",
"jang",
"jennings",
"jepsen",
"joliot",
"jones",
"kalam",
"kare",
"keller",
"khorana",
"kilby",
"kirch",
"knuth",
"kowalevski",
"lalande",
"lamarr",
"leakey",
"leavitt",
"lichterman",
"liskov",
"lovelace",
"lumiere",
"mahavira",
"mayer",
"mccarthy",
"mcclintock",
"mclean",
"mcnulty",
"meitner",
"meninsky",
"mestorf",
"minsky",
"mirzakhani",
"morse",
"murdock",
"newton",
"nobel",
"noether",
"northcutt",
"noyce",
"panini",
"pare",
"pasteur",
"payne",
"perlman",
"pike",
"poincare",
"poitras",
"ptolemy",
"raman",
"ramanujan",
"ride",
"ritchie",
"roentgen",
"rosalind",
"saha",
"sammet",
"shaw",
"shirley",
"shockley",
"sinoussi",
"snyder",
"spence",
"stallman",
"stonebraker",
"swanson",
"swartz",
"swirles",
"tesla",
"thompson",
"torvalds",
"turing",
"varahamihira",
"visvesvaraya",
"volhard",
"wescoff",
"williams",
"wilson",
"wing",
"wozniak",
"wright",
"yalow",
"yonath",
];
/**
* Header text for user projects
* @constant

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@ -0,0 +1,364 @@
/**
* Default description for the flow
* @constant
*/
export const DESCRIPTIONS: string[] = [
"Chain the Words, Master Language!",
"Language Architect at Work!",
"Empowering Language Engineering.",
"Craft Language Connections Here.",
"Create, Connect, Converse.",
"Smart Chains, Smarter Conversations.",
"Bridging Prompts for Brilliance.",
"Language Models, Unleashed.",
"Your Hub for Text Generation.",
"Promptly Ingenious!",
"Building Linguistic Labyrinths.",
"Create, Chain, Communicate.",
"Connect the Dots, Craft Language.",
"Interactive Language Weaving.",
"Generate, Innovate, Communicate.",
"Conversation Catalyst Engine.",
"Language Chainlink Master.",
"Design Dialogues with LangFlow.",
"Nurture NLP Nodes Here.",
"Conversational Cartography Unlocked.",
"Design, Develop, Dialogize.",
"Unleashing Linguistic Creativity.",
"Graph Your Way to Great Conversations.",
"The Power of Language at Your Fingertips.",
"Sculpting Language with Precision.",
"Where Language Meets Logic.",
"Building Intelligent Interactions.",
"Your Passport to Linguistic Landscapes.",
"Create, Curate, Communicate with LangFlow.",
"Flow into the Future of Language.",
"Mapping Meaningful Conversations.",
"Unravel the Art of Articulation.",
"Language Engineering Excellence.",
"Navigate the Networks of Conversation.",
"Crafting Conversations, One Node at a Time.",
"The Pinnacle of Prompt Generation.",
"Language Models, Mapped and Mastered.",
"Powerful Prompts, Perfectly Positioned.",
"Innovation in Interaction with LangFlow.",
"Your Toolkit for Text Generation.",
"Unfolding Linguistic Possibilities.",
"Building Powerful Solutions with Language Models.",
"Uncover Business Opportunities with NLP.",
"Harness the Power of Conversational AI.",
"Transform Your Business with Smart Dialogues.",
"Craft Meaningful Interactions, Generate Value.",
"Unleashing Business Potential through Language Engineering.",
"Empowering Enterprises with Intelligent Interactions.",
"Driving Innovation in Business Communication.",
"Catalyzing Business Growth through Conversational AI.",
"Text Generation Meets Business Transformation.",
"Navigate the Linguistic Landscape, Discover Opportunities.",
"Create Powerful Connections, Boost Business Value.",
"Empowering Communication, Enabling Opportunities.",
"Advanced NLP for Groundbreaking Business Solutions.",
"Innovation in Interaction, Revolution in Revenue.",
"Maximize Impact with Intelligent Conversations.",
"Beyond Text Generation - Unleashing Business Opportunities.",
"Unlock the Power of AI in Your Business Conversations.",
"Crafting Dialogues that Drive Business Success.",
"Engineered for Excellence, Built for Business.",
];
/**
* Adjectives for the name of the flow
* @constant
*
*/
export const ADJECTIVES: string[] = [
"admiring",
"adoring",
"agitated",
"amazing",
"angry",
"awesome",
"backstabbing",
"berserk",
"big",
"boring",
"clever",
"cocky",
"compassionate",
"condescending",
"cranky",
"desperate",
"determined",
"distracted",
"dreamy",
"drunk",
"ecstatic",
"elated",
"elegant",
"evil",
"fervent",
"focused",
"furious",
"gigantic",
"gloomy",
"goofy",
"grave",
"happy",
"high",
"hopeful",
"hungry",
"insane",
"jolly",
"jovial",
"kickass",
"lonely",
"loving",
"mad",
"modest",
"naughty",
"nauseous",
"nostalgic",
"pedantic",
"pensive",
"prickly",
"reverent",
"romantic",
"sad",
"serene",
"sharp",
"sick",
"silly",
"sleepy",
"small",
"stoic",
"stupefied",
"suspicious",
"tender",
"thirsty",
"tiny",
"trusting",
"bubbly",
"charming",
"cheerful",
"comical",
"dazzling",
"delighted",
"dynamic",
"effervescent",
"enthusiastic",
"exuberant",
"fluffy",
"friendly",
"funky",
"giddy",
"giggly",
"gleeful",
"goofy",
"graceful",
"grinning",
"hilarious",
"inquisitive",
"joyous",
"jubilant",
"lively",
"mirthful",
"mischievous",
"optimistic",
"peppy",
"perky",
"playful",
"quirky",
"radiant",
"sassy",
"silly",
"spirited",
"sprightly",
"twinkly",
"upbeat",
"vibrant",
"witty",
"zany",
"zealous",
];
/**
* Nouns for the name of the flow
* @constant
*
*/
export const NOUNS: string[] = [
"albattani",
"allen",
"almeida",
"archimedes",
"ardinghelli",
"aryabhata",
"austin",
"babbage",
"banach",
"bardeen",
"bartik",
"bassi",
"bell",
"bhabha",
"bhaskara",
"blackwell",
"bohr",
"booth",
"borg",
"bose",
"boyd",
"brahmagupta",
"brattain",
"brown",
"carson",
"chandrasekhar",
"colden",
"cori",
"cray",
"curie",
"darwin",
"davinci",
"dijkstra",
"dubinsky",
"easley",
"einstein",
"elion",
"engelbart",
"euclid",
"euler",
"fermat",
"fermi",
"feynman",
"franklin",
"galileo",
"gates",
"goldberg",
"goldstine",
"goldwasser",
"golick",
"goodall",
"hamilton",
"hawking",
"heisenberg",
"heyrovsky",
"hodgkin",
"hoover",
"hopper",
"hugle",
"hypatia",
"jang",
"jennings",
"jepsen",
"joliot",
"jones",
"kalam",
"kare",
"keller",
"khorana",
"kilby",
"kirch",
"knuth",
"kowalevski",
"lalande",
"lamarr",
"leakey",
"leavitt",
"lichterman",
"liskov",
"lovelace",
"lumiere",
"mahavira",
"mayer",
"mccarthy",
"mcclintock",
"mclean",
"mcnulty",
"meitner",
"meninsky",
"mestorf",
"minsky",
"mirzakhani",
"morse",
"murdock",
"newton",
"nobel",
"noether",
"northcutt",
"noyce",
"panini",
"pare",
"pasteur",
"payne",
"perlman",
"pike",
"poincare",
"poitras",
"ptolemy",
"raman",
"ramanujan",
"ride",
"ritchie",
"roentgen",
"rosalind",
"saha",
"sammet",
"shaw",
"shirley",
"shockley",
"sinoussi",
"snyder",
"spence",
"stallman",
"stonebraker",
"swanson",
"swartz",
"swirles",
"tesla",
"thompson",
"torvalds",
"turing",
"varahamihira",
"visvesvaraya",
"volhard",
"wescoff",
"williams",
"wilson",
"wing",
"wozniak",
"wright",
"yalow",
"yonath",
"coulomb",
"degrasse",
"dewey",
"edison",
"eratosthenes",
"faraday",
"galton",
"gauss",
"herschel",
"hubble",
"joule",
"kaku",
"kepler",
"khayyam",
"lavoisier",
"maxwell",
"mendel",
"mendeleev",
"ohm",
"pascal",
"planck",
"riemann",
"schrodinger",
"sagan",
"tesla",
"tyson",
"volta",
"watt",
"weber",
"wien",
"zoBell",
"zuse",
"carroll",
];

2
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@ -24,7 +24,7 @@ import { SlackIcon } from "./icons/Slack";
import { PineconeIcon } from "./icons/Pinecone";
import clsx, { ClassValue } from "clsx";
import { twMerge } from "tailwind-merge";
import { ADJECTIVES, DESCRIPTIONS, NOUNS } from "./constants";
import { ADJECTIVES, DESCRIPTIONS, NOUNS } from "./flow_constants";
import { ComponentType, SVGProps } from "react";
import {
Cpu,

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