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Merge branch 'feature/store' into bug/undo-copy

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This commit is contained in:
Lucas Oliveira 2023-11-28 19:51:53 -03:00
commit 082ea5282f
37 changed files with 421 additions and 326 deletions
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2
base.Dockerfile
View file

@ -23,7 +23,7 @@ ENV PYTHONUNBUFFERED=1 \
\ \
# poetry # poetry
# https://python-poetry.org/docs/configuration/#using-environment-variables # https://python-poetry.org/docs/configuration/#using-environment-variables
POETRY_VERSION=1.7 \ POETRY_VERSION=1.7.1 \
# make poetry install to this location # make poetry install to this location
POETRY_HOME="/opt/poetry" \ POETRY_HOME="/opt/poetry" \
# make poetry create the virtual environment in the project's root # make poetry create the virtual environment in the project's root

2
deploy/docker-compose.with_tests.yml
View file

@ -146,7 +146,7 @@ services:
build: build:
context: ../ context: ../
dockerfile: base.Dockerfile dockerfile: base.Dockerfile
command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h command: celery -A langflow.worker.celery_app worker --loglevel=DEBUG --concurrency=1 -n lf-worker@%h
healthcheck: healthcheck:
test: "exit 0" test: "exit 0"
deploy: deploy:

6
deploy/docker-compose.yml
View file

@ -134,8 +134,8 @@ services:
image: redis:6.2.5 image: redis:6.2.5
env_file: env_file:
- .env - .env
# ports: ports:
# - 6379:6379 - 6379:6379
healthcheck: healthcheck:
test: "exit 0" test: "exit 0"
@ -146,7 +146,7 @@ services:
build: build:
context: ../ context: ../
dockerfile: base.Dockerfile dockerfile: base.Dockerfile
command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h -P eventlet
healthcheck: healthcheck:
test: "exit 0" test: "exit 0"
deploy: deploy:

251
poetry.lock generated
View file

@ -337,32 +337,27 @@ six = ">=1.4.0"
[[package]] [[package]]
name = "bcrypt" name = "bcrypt"
version = "4.0.1" version = "4.1.1"
description = "Modern password hashing for your software and your servers" description = "Modern password hashing for your software and your servers"
optional = false optional = false
python-versions = ">=3.6" python-versions = ">=3.7"
files = [ files = [
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{file = "bcrypt-4.0.1.tar.gz", hash = "sha256:27d375903ac8261cfe4047f6709d16f7d18d39b1ec92aaf72af989552a650ebd"},
] ]
[package.extras] [package.extras]
@ -411,17 +406,17 @@ files = [
[[package]] [[package]]
name = "boto3" name = "boto3"
version = "1.29.7" version = "1.33.2"
description = "The AWS SDK for Python" description = "The AWS SDK for Python"
optional = false optional = false
python-versions = ">= 3.7" python-versions = ">= 3.7"
files = [ files = [
{file = "boto3-1.29.7-py3-none-any.whl", hash = "sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b"}, {file = "boto3-1.33.2-py3-none-any.whl", hash = "sha256:fc7c0dd5fa74ae0d57e11747695bdba4ad164e62dee35db15b43762c392fbd92"},
{file = "boto3-1.29.7.tar.gz", hash = "sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e"}, {file = "boto3-1.33.2.tar.gz", hash = "sha256:70626598dd6698d6da8f2854a1ae5010f175572e2a465b2aa86685c745c1013c"},
] ]
[package.dependencies] [package.dependencies]
botocore = ">=1.32.7,<1.33.0" botocore = ">=1.33.2,<1.34.0"
jmespath = ">=0.7.1,<2.0.0" jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.8.0,<0.9.0" s3transfer = ">=0.8.0,<0.9.0"
@ -430,13 +425,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]] [[package]]
name = "botocore" name = "botocore"
version = "1.32.7" version = "1.33.2"
description = "Low-level, data-driven core of boto 3." description = "Low-level, data-driven core of boto 3."
optional = false optional = false
python-versions = ">= 3.7" python-versions = ">= 3.7"
files = [ files = [
{file = "botocore-1.32.7-py3-none-any.whl", hash = "sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11"}, {file = "botocore-1.33.2-py3-none-any.whl", hash = "sha256:5c46b7e8450efbf7ddc2a0016eee7225a5564583122e25a20ca92a29a105225c"},
{file = "botocore-1.32.7.tar.gz", hash = "sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9"}, {file = "botocore-1.33.2.tar.gz", hash = "sha256:16a30faac6e6f17961c009defb74ab1a3508b8abc58fab98e7cf96af0d91ea84"},
] ]
[package.dependencies] [package.dependencies]
@ -926,19 +921,19 @@ testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
[[package]] [[package]]
name = "cohere" name = "cohere"
version = "4.36" version = "4.37"
description = "" description = "Python SDK for the Cohere API"
optional = false optional = false
python-versions = ">=3.7,<4.0" python-versions = ">=3.8,<4.0"
files = [ files = [
{file = "cohere-4.36-py3-none-any.whl", hash = "sha256:4ebafbf2f340c90cf81599d94da1678fb4cd22548cd7fc0f6b16420090ffa705"}, {file = "cohere-4.37-py3-none-any.whl", hash = "sha256:f3fad3a0f8d86761d4de851dfd2233a1e5c7634a024102212d850bde9c9bb031"},
{file = "cohere-4.36.tar.gz", hash = "sha256:3dd67abe2d12da55132a85dfbbf2963e50e3e60eaee9b07ff9457ae2766f1f8d"}, {file = "cohere-4.37.tar.gz", hash = "sha256:788021d9d992c6c31d1985d95cccb277c7265882c4acd7a49b3e47da77b4bec8"},
] ]
[package.dependencies] [package.dependencies]
aiohttp = ">=3.0,<4.0" aiohttp = ">=3.0,<4.0"
backoff = ">=2.0,<3.0" backoff = ">=2.0,<3.0"
fastavro = {version = "1.8.2", markers = "python_version >= \"3.8\""} fastavro = ">=1.8,<2.0"
importlib_metadata = ">=6.0,<7.0" importlib_metadata = ">=6.0,<7.0"
requests = ">=2.25.0,<3.0.0" requests = ">=2.25.0,<3.0.0"
urllib3 = ">=1.26,<3" urllib3 = ">=1.26,<3"
@ -1110,34 +1105,34 @@ toml = ["tomli"]
[[package]] [[package]]
name = "cryptography" name = "cryptography"
version = "41.0.5" version = "41.0.7"
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
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pydantic = ">=1,<3" pydantic = ">=1,<3"
@ -3555,13 +3557,30 @@ cli = ["typer (>=0.9.0,<0.10.0)"]
cohere = ["cohere (>=4,<5)"] cohere = ["cohere (>=4,<5)"]
docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"] docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
embeddings = ["sentence-transformers (>=2,<3)"] embeddings = ["sentence-transformers (>=2,<3)"]
extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "dashvector (>=1.0.1,<2.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.6.0,<0.7.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"] extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "dashvector (>=1.0.1,<2.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.6.0,<0.7.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
javascript = ["esprima (>=4.0.1,<5.0.0)"] javascript = ["esprima (>=4.0.1,<5.0.0)"]
llms = ["clarifai (>=9.1.0)", "cohere (>=4,<5)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"] llms = ["clarifai (>=9.1.0)", "cohere (>=4,<5)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"] openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"] qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
text-helpers = ["chardet (>=5.1.0,<6.0.0)"] text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-core"
version = "0.0.6"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langchain_core-0.0.6-py3-none-any.whl", hash = "sha256:dcc727ff811159e09fc1d72caae4aaea892611349d5c3fc1c18b3a19573faf27"},
{file = "langchain_core-0.0.6.tar.gz", hash = "sha256:cffd1031764d838ad2a2f3f64477b710923ddad58eb9fe3130ff94b3669e8dd8"},
]
[package.dependencies]
jsonpatch = ">=1.33,<2.0"
langsmith = ">=0.0.63,<0.1.0"
pydantic = ">=1,<3"
tenacity = ">=8.1.0,<9.0.0"
[[package]] [[package]]
name = "langchain-experimental" name = "langchain-experimental"
version = "0.0.42" version = "0.0.42"
@ -3618,13 +3637,13 @@ wrapt = "1.14"
[[package]] [[package]]
name = "langsmith" name = "langsmith"
version = "0.0.66" version = "0.0.67"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false optional = false
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
files = [ files = [
{file = "langsmith-0.0.66-py3-none-any.whl", hash = "sha256:e5e6d2deff19de827ac04db106b900091c75b6a3c1a1c047a8aa78caf72a63ea"}, {file = "langsmith-0.0.67-py3-none-any.whl", hash = "sha256:66a257b97dabd43a7e62af271b2ddb7566167ce4e446fd7b7760e97d6ce84a5e"},
{file = "langsmith-0.0.66.tar.gz", hash = "sha256:33d011c9db9236c06789b17dba97acc023275bafd0c2bf097283730d6608dea7"}, {file = "langsmith-0.0.67.tar.gz", hash = "sha256:cef00bac2e7455a5943f3afaea91c032db1a1f2adb83003159a71e884fb5a9a2"},
] ]
[package.dependencies] [package.dependencies]
@ -3649,12 +3668,12 @@ regex = ["regex"]
[[package]] [[package]]
name = "llama-cpp-python" name = "llama-cpp-python"
version = "0.2.19" version = "0.2.20"
description = "Python bindings for the llama.cpp library" description = "Python bindings for the llama.cpp library"
optional = true optional = true
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "llama_cpp_python-0.2.19.tar.gz", hash = "sha256:5c3be3f98108b7fc747f5c7260344af13621cd626d628cd5a6c0f6eec53a873a"}, {file = "llama_cpp_python-0.2.20.tar.gz", hash = "sha256:a0ada1cb800ba4da60ea6ac4f7264b687a35412374e5af2c92e5b22852cdbafb"},
] ]
[package.dependencies] [package.dependencies]
@ -3670,13 +3689,13 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)"]
[[package]] [[package]]
name = "locust" name = "locust"
version = "2.19.0" version = "2.19.1"
description = "Developer friendly load testing framework" description = "Developer friendly load testing framework"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "locust-2.19.0-py3-none-any.whl", hash = "sha256:fc245bcdc3ffccfcd31be1ce99f736fe3be69b514d396ef419e2898d86795c6d"}, {file = "locust-2.19.1-py3-none-any.whl", hash = "sha256:152d6c9b1d8b842422a9ef352d13529d337d5c4e1e0c0a3e0827c1b5eafb903d"},
{file = "locust-2.19.0.tar.gz", hash = "sha256:091bb8ee321a9a63e160d0f6de0a0819c62f18378e44986bc5d446d017875aa6"}, {file = "locust-2.19.1.tar.gz", hash = "sha256:5c21609b1395833dc0b4bb3ddaaf709a88f6e70950aefce86e11eb5944fe9217"},
] ]
[package.dependencies] [package.dependencies]
@ -7089,20 +7108,20 @@ files = [
[[package]] [[package]]
name = "s3transfer" name = "s3transfer"
version = "0.8.0" version = "0.8.1"
description = "An Amazon S3 Transfer Manager" description = "An Amazon S3 Transfer Manager"
optional = false optional = false
python-versions = ">= 3.7" python-versions = ">= 3.7"
files = [ files = [
{file = "s3transfer-0.8.0-py3-none-any.whl", hash = "sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986"}, {file = "s3transfer-0.8.1-py3-none-any.whl", hash = "sha256:d1c52af7bceca1650d0f27728b29bb4925184aead7b55bccacf893b79a108604"},
{file = "s3transfer-0.8.0.tar.gz", hash = "sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002"}, {file = "s3transfer-0.8.1.tar.gz", hash = "sha256:e6cafd5643fc7b44fddfba1e5b521005675b0e07533ddad958a3554bc87d7330"},
] ]
[package.dependencies] [package.dependencies]
botocore = ">=1.32.7,<2.0a.0" botocore = ">=1.33.2,<2.0a.0"
[package.extras] [package.extras]
crt = ["botocore[crt] (>=1.32.7,<2.0a.0)"] crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
[[package]] [[package]]
name = "safetensors" name = "safetensors"
@ -8063,18 +8082,18 @@ telegram = ["requests"]
[[package]] [[package]]
name = "traitlets" name = "traitlets"
version = "5.13.0" version = "5.14.0"
description = "Traitlets Python configuration system" description = "Traitlets Python configuration system"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "traitlets-5.13.0-py3-none-any.whl", hash = "sha256:baf991e61542da48fe8aef8b779a9ea0aa38d8a54166ee250d5af5ecf4486619"}, {file = "traitlets-5.14.0-py3-none-any.whl", hash = "sha256:f14949d23829023013c47df20b4a76ccd1a85effb786dc060f34de7948361b33"},
{file = "traitlets-5.13.0.tar.gz", hash = "sha256:9b232b9430c8f57288c1024b34a8f0251ddcc47268927367a0dd3eeaca40deb5"}, {file = "traitlets-5.14.0.tar.gz", hash = "sha256:fcdaa8ac49c04dfa0ed3ee3384ef6dfdb5d6f3741502be247279407679296772"},
] ]
[package.extras] [package.extras]
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
test = ["argcomplete (>=3.0.3)", "mypy (>=1.6.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"] test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
[[package]] [[package]]
name = "transformers" name = "transformers"
@ -9160,4 +9179,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.9,<3.11" python-versions = ">=3.9,<3.11"
content-hash = "1930ee9350f8d29899117ba0ffce4eff58b10b99e4d135b8d4ba52bca9e50d88" content-hash = "48794de9f7fe20b5a736fc0553485501d15ef611a0171a6c065d5a9f64798210"

2
pyproject.toml
View file

@ -79,7 +79,7 @@ psycopg = "^3.1.9"
psycopg-binary = "^3.1.9" psycopg-binary = "^3.1.9"
fastavro = "^1.8.0" fastavro = "^1.8.0"
langchain-experimental = "*" langchain-experimental = "*"
celery = { extras = ["redis"], version = "^5.3.1", optional = true } celery = { extras = ["redis"], version = "^5.3.6", optional = true }
redis = { version = "^4.6.0", optional = true } redis = { version = "^4.6.0", optional = true }
flower = { version = "^2.0.0", optional = true } flower = { version = "^2.0.0", optional = true }
alembic = "^1.12.0" alembic = "^1.12.0"

9
src/backend/langflow/api/utils.py
View file

@ -47,12 +47,3 @@ def build_input_keys_response(langchain_object, artifacts):
input_keys_response["template"] = langchain_object.prompt.template input_keys_response["template"] = langchain_object.prompt.template
return input_keys_response return input_keys_response
def get_new_key(dictionary, original_key):
counter = 1
new_key = original_key + " (" + str(counter) + ")"
while new_key in dictionary:
counter += 1
new_key = original_key + " (" + str(counter) + ")"
return new_key

2
src/backend/langflow/api/v1/chat.py
View file

@ -170,7 +170,7 @@ async def stream_build(
update_build_status(cache_service, flow_id, BuildStatus.FAILURE) update_build_status(cache_service, flow_id, BuildStatus.FAILURE)
vertex_id = vertex.parent_node_id if vertex.parent_is_top_level else vertex.id vertex_id = vertex.parent_node_id if vertex.parent_is_top_level else vertex.id
if vertex_id in graph.top_level_nodes: if vertex_id in graph.top_level_vertices:
response = { response = {
"valid": valid, "valid": valid,
"params": params, "params": params,

15
src/backend/langflow/api/v1/endpoints.py
View file

@ -89,6 +89,7 @@ async def process(
if flow.data is None: if flow.data is None:
raise ValueError(f"Flow {flow_id} has no data") raise ValueError(f"Flow {flow_id} has no data")
graph_data = flow.data graph_data = flow.data
task_result = None
if tweaks: if tweaks:
try: try:
graph_data = process_tweaks(graph_data, tweaks) graph_data = process_tweaks(graph_data, tweaks)
@ -160,6 +161,10 @@ async def get_task_status(task_id: str):
result = None result = None
if task.ready(): if task.ready():
result = task.result result = task.result
# If result isinstance of Exception, can we get the traceback?
if isinstance(result, Exception):
logger.exception(task.traceback)
if isinstance(result, dict) and "result" in result: if isinstance(result, dict) and "result" in result:
result = result["result"] result = result["result"]
elif hasattr(result, "result"): elif hasattr(result, "result"):
@ -167,6 +172,10 @@ async def get_task_status(task_id: str):
if task is None: if task is None:
raise HTTPException(status_code=404, detail="Task not found") raise HTTPException(status_code=404, detail="Task not found")
if task.status == "FAILURE":
result = str(task.result)
logger.error(f"Task {task_id} failed: {task.traceback}")
return TaskStatusResponse(status=task.status, result=result) return TaskStatusResponse(status=task.status, result=result)
@ -237,3 +246,9 @@ async def custom_component_update(
component_node = build_langchain_template_custom_component(component, user_id=user.id, update_field=raw_code.field) component_node = build_langchain_template_custom_component(component, user_id=user.id, update_field=raw_code.field)
# Update the field # Update the field
return component_node return component_node
# Update the field
return component_node
# Update the field
return component_node
# Update the field
return component_node

14
src/backend/langflow/core/celeryconfig.py
View file

@ -3,12 +3,16 @@ import os
langflow_redis_host = os.environ.get("LANGFLOW_REDIS_HOST") langflow_redis_host = os.environ.get("LANGFLOW_REDIS_HOST")
langflow_redis_port = os.environ.get("LANGFLOW_REDIS_PORT") langflow_redis_port = os.environ.get("LANGFLOW_REDIS_PORT")
if "BROKER_URL" in os.environ and "RESULT_BACKEND" in os.environ: # broker default user
# RabbitMQ
broker_url = os.environ.get("BROKER_URL", "amqp://localhost") if langflow_redis_host and langflow_redis_port:
result_backend = os.environ.get("RESULT_BACKEND", "redis://localhost:6379/0")
elif langflow_redis_host and langflow_redis_port:
broker_url = f"redis://{langflow_redis_host}:{langflow_redis_port}/0" broker_url = f"redis://{langflow_redis_host}:{langflow_redis_port}/0"
result_backend = f"redis://{langflow_redis_host}:{langflow_redis_port}/0" result_backend = f"redis://{langflow_redis_host}:{langflow_redis_port}/0"
else:
# RabbitMQ
mq_user = os.environ.get("RABBITMQ_DEFAULT_USER", "langflow")
mq_password = os.environ.get("RABBITMQ_DEFAULT_PASS", "langflow")
broker_url = os.environ.get("BROKER_URL", f"amqp://{mq_user}:{mq_password}@localhost:5672//")
result_backend = os.environ.get("RESULT_BACKEND", "redis://localhost:6379/0")
# tasks should be json or pickle # tasks should be json or pickle
accept_content = ["json", "pickle"] accept_content = ["json", "pickle"]

4
src/backend/langflow/graph/edge/base.py
View file

@ -22,8 +22,8 @@ class TargetHandle(BaseModel):
class Edge: class Edge:
def __init__(self, source: "Vertex", target: "Vertex", edge: dict): def __init__(self, source: "Vertex", target: "Vertex", edge: dict):
self.source_id: str = source.id self.source_id: str = source.id if source else ""
self.target_id: str = target.id self.target_id: str = target.id if target else ""
if data := edge.get("data", {}): if data := edge.get("data", {}):
self._source_handle = data.get("sourceHandle", {}) self._source_handle = data.get("sourceHandle", {})
self._target_handle = data.get("targetHandle", {}) self._target_handle = data.get("targetHandle", {})

12
src/backend/langflow/graph/graph/base.py
View file

@ -1,8 +1,6 @@
from typing import Dict, Generator, List, Type, Union from typing import Dict, Generator, List, Type, Union
from langchain.chains.base import Chain from langchain.chains.base import Chain
from loguru import logger
from langflow.graph.edge.base import Edge from langflow.graph.edge.base import Edge
from langflow.graph.graph.constants import lazy_load_vertex_dict from langflow.graph.graph.constants import lazy_load_vertex_dict
from langflow.graph.graph.utils import process_flow from langflow.graph.graph.utils import process_flow
@ -10,6 +8,7 @@ from langflow.graph.vertex.base import Vertex
from langflow.graph.vertex.types import FileToolVertex, LLMVertex, ToolkitVertex from langflow.graph.vertex.types import FileToolVertex, LLMVertex, ToolkitVertex
from langflow.interface.tools.constants import FILE_TOOLS from langflow.interface.tools.constants import FILE_TOOLS
from langflow.utils import payload from langflow.utils import payload
from loguru import logger
class Graph: class Graph:
@ -71,7 +70,7 @@ class Graph:
def _build_graph(self) -> None: def _build_graph(self) -> None:
"""Builds the graph from the vertices and edges.""" """Builds the graph from the vertices and edges."""
self.vertices = self._build_vertices() self.vertices = self._build_vertices()
self.vertex_ids = [vertex.id for vertex in self.vertices] self.vertex_map = {vertex.id: vertex for vertex in self.vertices}
self.edges = self._build_edges() self.edges = self._build_edges()
# This is a hack to make sure that the LLM vertex is sent to # This is a hack to make sure that the LLM vertex is sent to
@ -108,7 +107,7 @@ class Graph:
def get_vertex(self, vertex_id: str) -> Union[None, Vertex]: def get_vertex(self, vertex_id: str) -> Union[None, Vertex]:
"""Returns a vertex by id.""" """Returns a vertex by id."""
return next((vertex for vertex in self.vertices if vertex.id == vertex_id), None) return self.vertex_map.get(vertex_id)
def get_vertex_edges(self, vertex_id: str) -> List[Edge]: def get_vertex_edges(self, vertex_id: str) -> List[Edge]:
"""Returns a list of edges for a given vertex.""" """Returns a list of edges for a given vertex."""
@ -154,8 +153,8 @@ class Graph:
if state[vertex] == 0: if state[vertex] == 0:
state[vertex] = 1 state[vertex] = 1
for edge in vertex.edges: for edge in vertex.edges:
if edge.source == vertex: if edge.source_id == vertex.id:
dfs(edge.target) dfs(self.get_vertex(edge.target_id))
state[vertex] = 2 state[vertex] = 2
sorted_vertices.append(vertex) sorted_vertices.append(vertex)
@ -250,3 +249,4 @@ class Graph:
vertex_ids = [vertex.id for vertex in self.vertices] vertex_ids = [vertex.id for vertex in self.vertices]
edges_repr = "\n".join([f"{edge.source_id} --> {edge.target_id}" for edge in self.edges]) edges_repr = "\n".join([f"{edge.source_id} --> {edge.target_id}" for edge in self.edges])
return f"Graph:\nNodes: {vertex_ids}\nConnections:\n{edges_repr}" return f"Graph:\nNodes: {vertex_ids}\nConnections:\n{edges_repr}"
return f"Graph:\nNodes: {vertex_ids}\nConnections:\n{edges_repr}"

9
src/backend/langflow/graph/vertex/base.py
View file

@ -1,7 +1,7 @@
import ast import ast
import inspect import inspect
import types import types
from typing import TYPE_CHECKING, Any, Dict, List, Optional from typing import TYPE_CHECKING, Any, Coroutine, Dict, List, Optional
from langflow.graph.utils import UnbuiltObject from langflow.graph.utils import UnbuiltObject
from langflow.interface.initialize import loading from langflow.interface.initialize import loading
@ -73,8 +73,8 @@ class Vertex:
self.parent_node_id = state["parent_node_id"] self.parent_node_id = state["parent_node_id"]
self.parent_is_top_level = state["parent_is_top_level"] self.parent_is_top_level = state["parent_is_top_level"]
def set_top_level(self, top_level_nodes: List[str]) -> None: def set_top_level(self, top_level_vertices: List[str]) -> None:
self.parent_is_top_level = self.parent_node_id in top_level_nodes self.parent_is_top_level = self.parent_node_id in top_level_vertices
def _parse_data(self) -> None: def _parse_data(self) -> None:
self.data = self._data["data"] self.data = self._data["data"]
@ -245,7 +245,10 @@ class Vertex:
if self.is_task and self.task_id is not None: if self.is_task and self.task_id is not None:
task = self.get_task() task = self.get_task()
result = task.get(timeout=timeout) result = task.get(timeout=timeout)
if isinstance(result, Coroutine):
result = await result
if result is not None: # If result is ready if result is not None: # If result is ready
self._update_built_object_and_artifacts(result) self._update_built_object_and_artifacts(result)
return self._built_object return self._built_object

2
src/backend/langflow/graph/vertex/types.py
View file

@ -26,7 +26,7 @@ class AgentVertex(Vertex):
def _set_tools_and_chains(self) -> None: def _set_tools_and_chains(self) -> None:
for edge in self.edges: for edge in self.edges:
if not hasattr(edge, "source"): if not hasattr(edge, "source_id"):
continue continue
source_node = self.graph.get_vertex(edge.source_id) source_node = self.graph.get_vertex(edge.source_id)
if isinstance(source_node, (ToolVertex, ToolkitVertex)): if isinstance(source_node, (ToolVertex, ToolkitVertex)):

22
src/backend/langflow/interface/types.py
View file

@ -8,7 +8,6 @@ from uuid import UUID
from cachetools import LRUCache, cached from cachetools import LRUCache, cached
from fastapi import HTTPException from fastapi import HTTPException
from langflow.api.utils import get_new_key
from langflow.interface.agents.base import agent_creator from langflow.interface.agents.base import agent_creator
from langflow.interface.chains.base import chain_creator from langflow.interface.chains.base import chain_creator
from langflow.interface.custom.base import custom_component_creator from langflow.interface.custom.base import custom_component_creator
@ -416,8 +415,8 @@ def build_valid_menu(valid_components):
component_template = build_langchain_template_custom_component(component_extractor) component_template = build_langchain_template_custom_component(component_extractor)
component_template["output_types"] = component_output_types component_template["output_types"] = component_output_types
full_path = f"{menu_path}/{component.get('file')}" # full_path = f"{menu_path}/{component.get('file')}"
component_template["full_path"] = full_path # component_template["full_path"] = full_path
if len(component_output_types) == 1: if len(component_output_types) == 1:
component_name = component_output_types[0] component_name = component_output_types[0]
else: else:
@ -476,14 +475,23 @@ def build_invalid_menu(invalid_components):
return invalid_menu return invalid_menu
def get_new_key(dictionary, original_key):
counter = 1
new_key = original_key + " (" + str(counter) + ")"
while new_key in dictionary:
counter += 1
new_key = original_key + " (" + str(counter) + ")"
return new_key
def merge_nested_dicts_with_renaming(dict1, dict2): def merge_nested_dicts_with_renaming(dict1, dict2):
for key, value in dict2.items(): for key, value in dict2.items():
if key in dict1 and isinstance(value, dict) and isinstance(dict1.get(key), dict): if key in dict1 and isinstance(value, dict) and isinstance(dict1.get(key), dict):
for sub_key, sub_value in value.items(): for sub_key, sub_value in value.items():
if sub_key in dict1[key]: # if sub_key in dict1[key]:
new_key = get_new_key(dict1[key], sub_key) # new_key = get_new_key(dict1[key], sub_key)
dict1[key][new_key] = sub_value # dict1[key][new_key] = sub_value
else: # else:
dict1[key][sub_key] = sub_value dict1[key][sub_key] = sub_value
else: else:
dict1[key] = value dict1[key] = value

4
src/backend/langflow/processing/process.py
View file

@ -1,7 +1,7 @@
import asyncio import asyncio
import json import json
from pathlib import Path from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union from typing import Any, Coroutine, Dict, List, Optional, Tuple, Union
from langchain.chains.base import Chain from langchain.chains.base import Chain
from langchain.schema import AgentAction, Document from langchain.schema import AgentAction, Document
@ -138,6 +138,8 @@ def generate_result(langchain_object: Union[Chain, VectorStore], inputs: dict):
result = langchain_object.dict() result = langchain_object.dict()
else: else:
logger.warning(f"Unknown langchain_object type: {type(langchain_object)}") logger.warning(f"Unknown langchain_object type: {type(langchain_object)}")
if isinstance(langchain_object, Coroutine):
result = asyncio.run(langchain_object)
result = langchain_object result = langchain_object
return result return result

67
src/backend/langflow/services/cache/utils.py vendored
View file

@ -1,24 +1,23 @@
import base64 import base64
import contextlib import contextlib
import functools
import hashlib import hashlib
import os import os
import tempfile import tempfile
from collections import OrderedDict
from pathlib import Path from pathlib import Path
from typing import TYPE_CHECKING, Any, Dict from typing import TYPE_CHECKING, Any, Dict
from platformdirs import user_cache_dir
from fastapi import UploadFile from fastapi import UploadFile
from langflow.api.v1.schemas import BuildStatus from platformdirs import user_cache_dir
from langflow.services.database.models.base import orjson_dumps
if TYPE_CHECKING: if TYPE_CHECKING:
pass from langflow.api.v1.schemas import BuildStatus
CACHE: Dict[str, Any] = {} CACHE: Dict[str, Any] = {}
CACHE_DIR = user_cache_dir("langflow", "langflow") CACHE_DIR = user_cache_dir("langflow", "langflow")
PREFIX = "langflow_cache"
def create_cache_folder(func): def create_cache_folder(func):
def wrapper(*args, **kwargs): def wrapper(*args, **kwargs):
@ -33,50 +32,6 @@ def create_cache_folder(func):
return wrapper return wrapper
def memoize_dict(maxsize=128):
cache = OrderedDict()
hash_to_key = {} # Mapping from hash to cache key
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
hashed = compute_dict_hash(args[0])
key = (func.__name__, hashed, frozenset(kwargs.items()))
if key not in cache:
result = func(*args, **kwargs)
cache[key] = result
hash_to_key[hashed] = key # Store the mapping
if len(cache) > maxsize:
oldest_key = next(iter(cache))
oldest_hash = oldest_key[1]
del cache[oldest_key]
del hash_to_key[oldest_hash]
else:
result = cache[key]
wrapper.session_id = hashed # Store hash in the wrapper
return result
def clear_cache():
cache.clear()
hash_to_key.clear()
def get_result_by_session_id(session_id):
key = hash_to_key.get(session_id)
return cache.get(key) if key is not None else None
wrapper.clear_cache = clear_cache # type: ignore
wrapper.get_result_by_session_id = get_result_by_session_id # type: ignore
wrapper.hash = None
wrapper.cache = cache # type: ignore
return wrapper
return decorator
PREFIX = "langflow_cache"
@create_cache_folder @create_cache_folder
def clear_old_cache_files(max_cache_size: int = 3): def clear_old_cache_files(max_cache_size: int = 3):
cache_dir = Path(tempfile.gettempdir()) / PREFIX cache_dir = Path(tempfile.gettempdir()) / PREFIX
@ -90,14 +45,6 @@ def clear_old_cache_files(max_cache_size: int = 3):
os.remove(cache_file) os.remove(cache_file)
def compute_dict_hash(graph_data):
graph_data = filter_json(graph_data)
cleaned_graph_json = orjson_dumps(graph_data, sort_keys=True)
return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest()
def filter_json(json_data): def filter_json(json_data):
filtered_data = json_data.copy() filtered_data = json_data.copy()
@ -203,9 +150,11 @@ def save_uploaded_file(file: UploadFile, folder_name):
return file_path return file_path
def update_build_status(cache_service, flow_id: str, status: BuildStatus): def update_build_status(cache_service, flow_id: str, status: "BuildStatus"):
cached_flow = cache_service[flow_id] cached_flow = cache_service[flow_id]
if cached_flow is None: if cached_flow is None:
raise ValueError(f"Flow {flow_id} not found in cache") raise ValueError(f"Flow {flow_id} not found in cache")
cached_flow["status"] = status cached_flow["status"] = status
cache_service[flow_id] = cached_flow cache_service[flow_id] = cached_flow
cached_flow["status"] = status
cache_service[flow_id] = cached_flow

3
src/backend/langflow/services/session/service.py
View file

@ -2,8 +2,7 @@ from typing import TYPE_CHECKING
from langflow.interface.run import build_sorted_vertices from langflow.interface.run import build_sorted_vertices
from langflow.services.base import Service from langflow.services.base import Service
from langflow.services.cache.utils import compute_dict_hash from langflow.services.session.utils import compute_dict_hash, session_id_generator
from langflow.services.session.utils import session_id_generator
if TYPE_CHECKING: if TYPE_CHECKING:
from langflow.services.cache.base import BaseCacheService from langflow.services.cache.base import BaseCacheService

12
src/backend/langflow/services/session/utils.py
View file

@ -1,6 +1,18 @@
import hashlib
import random import random
import string import string
from langflow.services.cache.utils import filter_json
from langflow.services.database.models.base import orjson_dumps
def session_id_generator(size=6): def session_id_generator(size=6):
return "".join(random.SystemRandom().choices(string.ascii_uppercase + string.digits, k=size)) return "".join(random.SystemRandom().choices(string.ascii_uppercase + string.digits, k=size))
def compute_dict_hash(graph_data):
graph_data = filter_json(graph_data)
cleaned_graph_json = orjson_dumps(graph_data, sort_keys=True)
return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest()

12
src/backend/langflow/services/task/service.py
View file

@ -1,10 +1,11 @@
from typing import Any, Callable, Coroutine, Union from typing import Any, Callable, Coroutine, Union
from langflow.utils.logger import configure
from loguru import logger
from langflow.services.base import Service from langflow.services.base import Service
from langflow.services.task.backends.anyio import AnyIOBackend from langflow.services.task.backends.anyio import AnyIOBackend
from langflow.services.task.backends.base import TaskBackend from langflow.services.task.backends.base import TaskBackend
from langflow.services.task.utils import get_celery_worker_status from langflow.services.task.utils import get_celery_worker_status
from langflow.utils.logger import configure
from loguru import logger
def check_celery_availability(): def check_celery_availability():
@ -60,7 +61,11 @@ class TaskService(Service):
if not hasattr(task_func, "apply"): if not hasattr(task_func, "apply"):
raise ValueError(f"Task function {task_func} does not have an apply method") raise ValueError(f"Task function {task_func} does not have an apply method")
task = task_func.apply(args=args, kwargs=kwargs) task = task_func.apply(args=args, kwargs=kwargs)
result = task.get() result = task.get()
# if result is coroutine
if isinstance(result, Coroutine):
result = await result
return task.id, result return task.id, result
async def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any: async def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
@ -71,3 +76,6 @@ class TaskService(Service):
def get_task(self, task_id: Union[int, str]) -> Any: def get_task(self, task_id: Union[int, str]) -> Any:
return self.backend.get_task(task_id) return self.backend.get_task(task_id)
def get_task(self, task_id: Union[int, str]) -> Any:
return self.backend.get_task(task_id)

6
src/backend/langflow/utils/validate.py
View file

@ -235,6 +235,12 @@ def build_class_constructor(compiled_class, exec_globals, class_name):
:param class_name: Name of the class :param class_name: Name of the class
:return: Constructor function for the class :return: Constructor function for the class
""" """
# Add basic imports from typing module
# List, Dict, Tuple, Union, Optional
# to the global scope
for name in ["List", "Dict", "Tuple", "Union", "Optional"]:
exec_globals[name] = getattr(importlib.import_module("typing"), name)
exec(compiled_class, exec_globals, locals()) exec(compiled_class, exec_globals, locals())
exec_globals[class_name] = locals()[class_name] exec_globals[class_name] = locals()[class_name]

39
src/backend/langflow/worker.py
View file

@ -6,6 +6,8 @@ from langflow.core.celery_app import celery_app
from langflow.processing.process import Result, generate_result, process_inputs from langflow.processing.process import Result, generate_result, process_inputs
from langflow.services.deps import get_session_service from langflow.services.deps import get_session_service
from langflow.services.manager import initialize_session_service from langflow.services.manager import initialize_session_service
from loguru import logger
from rich import print
if TYPE_CHECKING: if TYPE_CHECKING:
from langflow.graph.vertex.base import Vertex from langflow.graph.vertex.base import Vertex
@ -36,19 +38,38 @@ def process_graph_cached_task(
clear_cache=False, clear_cache=False,
session_id=None, session_id=None,
) -> Dict[str, Any]: ) -> Dict[str, Any]:
try:
initialize_session_service() initialize_session_service()
session_service = get_session_service() session_service = get_session_service()
if clear_cache: if clear_cache:
session_service.clear_session(session_id) session_service.clear_session(session_id)
if session_id is None: if session_id is None:
session_id = session_service.generate_key(session_id=session_id, data_graph=data_graph) session_id = session_service.generate_key(session_id=session_id, data_graph=data_graph)
# Load the graph using SessionService
graph, artifacts = async_to_sync(session_service.load_session)(session_id, data_graph)
built_object = graph.build()
processed_inputs = process_inputs(inputs, artifacts)
result = generate_result(built_object, processed_inputs)
# langchain_object is now updated with the new memory
# we need to update the cache with the updated langchain_object
session_service.update_session(session_id, (graph, artifacts))
return Result(result=result, session_id=session_id).model_dump() # Use async_to_sync to handle the asynchronous part of the session service
session_data = async_to_sync(session_service.load_session, force_new_loop=True)(session_id, data_graph)
logger.warning(f"session_data: {session_data}")
graph, artifacts = session_data if session_data else (None, None)
if not graph:
raise ValueError("Graph not found in the session")
# Use async_to_sync for the asynchronous build method
built_object = async_to_sync(graph.build, force_new_loop=True)()
logger.debug(f"Built object: {built_object}")
processed_inputs = process_inputs(inputs, artifacts or {})
result = generate_result(built_object, processed_inputs)
# Update the session with the new data
session_service.update_session(session_id, (graph, artifacts))
result_object = Result(result=result, session_id=session_id).model_dump()
print(f"Result object: {result_object}")
return result_object
except Exception as e:
logger.error(f"Error in process_graph_cached_task: {e}")
# Handle the exception as needed, maybe re-raise or return an error message
raise

2
src/frontend/src/components/ui/button.tsx
View file

@ -16,7 +16,7 @@ const buttonVariants = cva(
primary: primary:
"border bg-background text-secondary-foreground hover:bg-background/80 dark:hover:bg-background/10 hover:shadow-sm", "border bg-background text-secondary-foreground hover:bg-background/80 dark:hover:bg-background/10 hover:shadow-sm",
secondary: secondary:
"border border-muted bg-muted text-secondary-foreground hover:bg-secondary/80", "border border-muted bg-muted text-muted-foreground hover:bg-secondary/80",
ghost: "hover:bg-accent hover:text-accent-foreground", ghost: "hover:bg-accent hover:text-accent-foreground",
link: "underline-offset-4 hover:underline text-primary", link: "underline-offset-4 hover:underline text-primary",
}, },

11
src/frontend/src/contexts/flowsContext.tsx
View file

@ -308,7 +308,7 @@ export function FlowsProvider({ children }: { children: ReactNode }) {
let text = await file.text(); let text = await file.text();
let fileData = JSON.parse(text); let fileData = JSON.parse(text);
if ( if (
(fileData.is_component === undefined && isComponent === true) || (!fileData.is_component && isComponent === true) ||
(fileData.is_component !== undefined && (fileData.is_component !== undefined &&
fileData.is_component !== isComponent) fileData.is_component !== isComponent)
) { ) {
@ -339,11 +339,10 @@ export function FlowsProvider({ children }: { children: ReactNode }) {
let fileData: FlowType = await JSON.parse(text); let fileData: FlowType = await JSON.parse(text);
console.log(isComponent, fileData); console.log(isComponent, fileData);
if (fileData.is_component === undefined) { if (
reject("Your file doesn't have the is_component property."); (!fileData.is_component && isComponent === true) ||
} else if ( (fileData.is_component !== undefined &&
fileData.is_component !== undefined && fileData.is_component !== isComponent)
fileData.is_component !== isComponent
) { ) {
reject("You cannot upload a component as a flow or vice versa"); reject("You cannot upload a component as a flow or vice versa");
} else { } else {

50
src/frontend/src/icons/GradientSparkles/index.tsx
View file

@ -1,5 +1,6 @@
import { InfinityIcon } from "lucide-react"; import { InfinityIcon, Terminal, Code } from "lucide-react";
import { forwardRef } from "react"; import { forwardRef } from "react";
import ForwardedIconComponent from "../../components/genericIconComponent";
export const GradientInfinity = forwardRef< export const GradientInfinity = forwardRef<
SVGSVGElement, SVGSVGElement,
@ -15,7 +16,52 @@ export const GradientInfinity = forwardRef<
</linearGradient> </linearGradient>
</defs> </defs>
</svg> </svg>
<InfinityIcon stroke="url(#grad1)" ref={ref} {...props} /> <Code stroke="url(#grad1)" ref={ref} {...props} />
</> </>
); );
}); });
export const GradientSave = forwardRef<
SVGSVGElement,
React.PropsWithChildren<{}>
>((props, ref) => {
return (
<>
<svg width="0" height="0" style={{ position: "absolute" }}>
<defs>
<linearGradient id="grad2" x1="0%" y1="0%" x2="100%" y2="0%">
<stop className="gradient-start" offset="0%" />
<stop className="gradient-end" offset="100%" />
</linearGradient>
</defs>
</svg>
<ForwardedIconComponent
name="Save"
stroke="url(#grad2)"
ref={ref}
{...props}
/>
</>
);
});
export const GradientGroup = (props) => {
return (
<>
<svg width="0" height="0" style={{ position: "absolute" }}>
<defs>
<linearGradient id="grad3" x1="0%" y1="0%" x2="100%" y2="0%">
<stop className="gradient-start" offset="0%" />
<stop className="gradient-end" offset="100%" />
</linearGradient>
</defs>
</svg>
<ForwardedIconComponent
name="Combine"
stroke="url(#grad3)"
{...props}
/>
</>
);
};

12
src/frontend/src/modals/ConfirmationModal/index.tsx
View file

@ -29,6 +29,7 @@ function ConfirmationModal({
cancelText, cancelText,
confirmationText, confirmationText,
children, children,
destructive = false,
icon, icon,
data, data,
index, index,
@ -56,9 +57,9 @@ function ConfirmationModal({
); );
return ( return (
<BaseModal size={size ?? "x-small"} open={modalOpen} setOpen={setModalOpen}> <BaseModal size={size} open={modalOpen} setOpen={setModalOpen}>
<BaseModal.Trigger asChild={asChild}>{triggerChild}</BaseModal.Trigger> <BaseModal.Trigger asChild={asChild}>{triggerChild}</BaseModal.Trigger>
<BaseModal.Header description={titleHeader}> <BaseModal.Header description={titleHeader ?? null}>
<span className="pr-2">{title}</span> <span className="pr-2">{title}</span>
<Icon <Icon
name="icon" name="icon"
@ -67,7 +68,7 @@ function ConfirmationModal({
/> />
</BaseModal.Header> </BaseModal.Header>
<BaseModal.Content> <BaseModal.Content>
{modalContentTitle != "" && ( {modalContentTitle && modalContentTitle != "" && (
<> <>
<strong>{modalContentTitle}</strong> <strong>{modalContentTitle}</strong>
<br></br> <br></br>
@ -78,7 +79,8 @@ function ConfirmationModal({
<BaseModal.Footer> <BaseModal.Footer>
<Button <Button
className="ml-3 mt-5" className="ml-3"
variant={destructive ? "destructive" : "default"}
onClick={() => { onClick={() => {
setModalOpen(false); setModalOpen(false);
onConfirm(index, data); onConfirm(index, data);
@ -88,7 +90,7 @@ function ConfirmationModal({
</Button> </Button>
<Button <Button
className="mt-5" className=""
variant="outline" variant="outline"
onClick={() => { onClick={() => {
if (onCancel) onCancel(); if (onCancel) onCancel();

2
src/frontend/src/modals/DeleteConfirmationModal/index.tsx
View file

@ -41,7 +41,7 @@ export default function DeleteConfirmationModal({
</span> </span>
<DialogFooter> <DialogFooter>
<DialogClose> <DialogClose>
<Button className="mr-3">Cancel</Button> <Button className="mr-3" variant="outline">Cancel</Button>
<Button <Button
type="submit" type="submit"

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

@ -99,7 +99,7 @@ function BaseModal({
switch (size) { switch (size) {
case "x-small": case "x-small":
minWidth = "min-w-[20vw]"; minWidth = "min-w-[20vw]";
height = "h-[10vh]"; height = " ";
break; break;
case "smaller": case "smaller":
minWidth = "min-w-[40vw]"; minWidth = "min-w-[40vw]";
@ -150,7 +150,7 @@ function BaseModal({
<div className="truncate-doubleline word-break-break-word"> <div className="truncate-doubleline word-break-break-word">
{headerChild} {headerChild}
</div> </div>
<div className={`mt-2 flex flex-col ${height!} w-full `}> <div className={`flex flex-col ${height!} w-full `}>
{ContentChild} {ContentChild}
</div> </div>
{ContentFooter && ( {ContentFooter && (

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

@ -1,6 +1,7 @@
import { useEffect, useState } from "react"; import { useEffect, useState } from "react";
import { NodeToolbar } from "reactflow"; import { NodeToolbar } from "reactflow";
import IconComponent from "../../../../components/genericIconComponent"; import IconComponent from "../../../../components/genericIconComponent";
import { GradientGroup } from "../../../../icons/GradientSparkles";
export default function SelectionMenu({ onClick, nodes, isVisible }) { export default function SelectionMenu({ onClick, nodes, isVisible }) {
const [isOpen, setIsOpen] = useState(false); const [isOpen, setIsOpen] = useState(false);
const [isTransitioning, setIsTransitioning] = useState(false); const [isTransitioning, setIsTransitioning] = useState(false);
@ -37,15 +38,15 @@ export default function SelectionMenu({ onClick, nodes, isVisible }) {
<div className="h-10 w-28 overflow-hidden"> <div className="h-10 w-28 overflow-hidden">
<div <div
className={ className={
"h-10 w-24 rounded-md border border-indigo-300 bg-white px-2.5 text-gray-700 shadow-inner transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300" + "h-10 w-24 rounded-md border border-indigo-300 bg-white px-2.5 text-gray-700 shadow-inner transition-all duration-400 ease-in-out dark:bg-gray-800 dark:text-gray-300" +
(isTransitioning ? " translate-y-0" : " translate-y-10") (isTransitioning ? " opacity-100" : " opacity-0 ")
} }
> >
<button <button
className="flex h-full w-full items-center justify-between text-sm hover:text-indigo-500" className="flex h-full w-full items-center justify-between text-sm hover:text-indigo-500"
onClick={onClick} onClick={onClick}
> >
<IconComponent name="Group" className="w-6" /> <GradientGroup strokeWidth={1.5} size={22} className="text-primary" />
Group Group
</button> </button>
</div> </div>

4
src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx
View file

@ -343,6 +343,10 @@ export default function ExtraSidebar(): JSX.Element {
return -1; return -1;
} else if (b.toLowerCase() === "saved_components") { } else if (b.toLowerCase() === "saved_components") {
return 1; return 1;
} else if (a.toLowerCase() === "custom_components") {
return -2
} else if (b.toLowerCase() === "custom_components") {
return 2
}else { }else {
return a.localeCompare(b); return a.localeCompare(b);
} }

10
src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
View file

@ -277,11 +277,10 @@ export default function NodeToolbarComponent({
<ConfirmationModal <ConfirmationModal
asChild asChild
open={showOverrideModal} open={showOverrideModal}
title={`Replace ${data.node?.display_name}`} title={`Replace`}
titleHeader={`Please, confirm your save actions`} cancelText="Create New"
modalContentTitle="Attention!"
cancelText="New"
confirmationText="Replace" confirmationText="Replace"
size={"x-small"}
icon={"SaveAll"} icon={"SaveAll"}
index={6} index={6}
onConfirm={(index, user) => { onConfirm={(index, user) => {
@ -292,8 +291,7 @@ export default function NodeToolbarComponent({
> >
<ConfirmationModal.Content> <ConfirmationModal.Content>
<span> <span>
It seems {data.node?.display_name} already exists. Replacing it It seems {data.node?.display_name} already exists. Do you want to replace it with the current or create a new one?
will switch the current component. Proceed with replacement?
</span> </span>
</ConfirmationModal.Content> </ConfirmationModal.Content>
<ConfirmationModal.Trigger> <ConfirmationModal.Trigger>

6
src/frontend/src/pages/MainPage/components/components/index.tsx
View file

@ -95,6 +95,9 @@ export default function ComponentsComponent({
> >
<div className="flex h-full w-full flex-col justify-between"> <div className="flex h-full w-full flex-col justify-between">
<div className="flex w-full flex-col gap-4"> <div className="flex w-full flex-col gap-4">
{!isLoading && data.length === 0 ? (
<div className="w-full text-center">You haven't created any {name}s yet.</div>
) : (
<div className="grid w-full gap-4 md:grid-cols-2 lg:grid-cols-2"> <div className="grid w-full gap-4 md:grid-cols-2 lg:grid-cols-2">
{!isLoading || data?.length > 0 ? ( {!isLoading || data?.length > 0 ? (
data?.map((item, idx) => ( data?.map((item, idx) => (
@ -127,8 +130,6 @@ export default function ComponentsComponent({
} }
/> />
)) ))
) : !isLoading && data?.length === 0 ? (
<>You haven't created {name}s yet.</>
) : ( ) : (
<> <>
<SkeletonCardComponent /> <SkeletonCardComponent />
@ -136,6 +137,7 @@ export default function ComponentsComponent({
</> </>
)} )}
</div> </div>
)}
</div> </div>
{!isLoading && allData.length > 0 && ( {!isLoading && allData.length > 0 && (
<div className="relative py-6"> <div className="relative py-6">

5
src/frontend/src/types/components/index.ts
View file

@ -283,9 +283,10 @@ export type PaginatorComponentType = {
export type ConfirmationModalType = { export type ConfirmationModalType = {
onCancel?: () => void; onCancel?: () => void;
title: string; title: string;
titleHeader: string; titleHeader?: string;
asChild?: boolean; asChild?: boolean;
modalContentTitle: string; destructive?: boolean;
modalContentTitle?: string;
cancelText: string; cancelText: string;
confirmationText: string; confirmationText: string;
children: [ children: [

8
src/frontend/src/utils/styleUtils.ts
View file

@ -99,6 +99,8 @@ import {
X, X,
XCircle, XCircle,
Zap, Zap,
Combine,
TerminalIcon
} from "lucide-react"; } from "lucide-react";
import { FaApple, FaGithub } from "react-icons/fa"; import { FaApple, FaGithub } from "react-icons/fa";
import { AWSIcon } from "../icons/AWS"; import { AWSIcon } from "../icons/AWS";
@ -111,7 +113,7 @@ import { EvernoteIcon } from "../icons/Evernote";
import { FBIcon } from "../icons/FacebookMessenger"; import { FBIcon } from "../icons/FacebookMessenger";
import { GitBookIcon } from "../icons/GitBook"; import { GitBookIcon } from "../icons/GitBook";
import { GoogleIcon } from "../icons/Google"; import { GoogleIcon } from "../icons/Google";
import { GradientInfinity } from "../icons/GradientSparkles"; import { GradientInfinity, GradientSave } from "../icons/GradientSparkles";
import { HuggingFaceIcon } from "../icons/HuggingFace"; import { HuggingFaceIcon } from "../icons/HuggingFace";
import { IFixIcon } from "../icons/IFixIt"; import { IFixIcon } from "../icons/IFixIt";
import { MetaIcon } from "../icons/Meta"; import { MetaIcon } from "../icons/Meta";
@ -260,7 +262,7 @@ export const nodeIconsLucide: iconsType = {
advanced: Laptop2, advanced: Laptop2,
chat: MessageCircle, chat: MessageCircle,
embeddings: Fingerprint, embeddings: Fingerprint,
saved_components: Save, saved_components: GradientSave,
documentloaders: Paperclip, documentloaders: Paperclip,
vectorstores: Layers, vectorstores: Layers,
toolkits: Hammer, toolkits: Hammer,
@ -356,4 +358,6 @@ export const nodeIconsLucide: iconsType = {
Link, Link,
ToyBrick, ToyBrick,
RefreshCcw, RefreshCcw,
Combine,
TerminalIcon,
}; };

4
tests/test_cache.py
View file

@ -1,7 +1,7 @@
import json import json
from langflow.graph import Graph
import pytest import pytest
from langflow.graph import Graph
def get_graph(_type="basic"): def get_graph(_type="basic"):
@ -41,5 +41,5 @@ def langchain_objects_are_equal(obj1, obj2):
def test_build_graph(client, basic_data_graph): def test_build_graph(client, basic_data_graph):
graph = Graph.from_payload(basic_data_graph) graph = Graph.from_payload(basic_data_graph)
assert graph is not None assert graph is not None
assert len(graph.vertices) == len(basic_data_graph["nodes"]) assert len(graph.nodes) == len(basic_data_graph["nodes"])
assert len(graph.edges) == len(basic_data_graph["edges"]) assert len(graph.edges) == len(basic_data_graph["edges"])

19
tests/test_endpoints.py
View file

@ -1,18 +1,17 @@
from collections import namedtuple import time
import uuid import uuid
from langflow.processing.process import Result from collections import namedtuple
from langflow.services.auth.utils import get_password_hash
from langflow.services.database.models.api_key.model import ApiKey
from langflow.services.deps import get_settings_service
from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service
import pytest import pytest
from fastapi.testclient import TestClient from fastapi.testclient import TestClient
from langflow.interface.tools.constants import CUSTOM_TOOLS from langflow.interface.tools.constants import CUSTOM_TOOLS
from langflow.processing.process import Result
from langflow.services.auth.utils import get_password_hash
from langflow.services.database.models.api_key.model import ApiKey
from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service, get_settings_service
from langflow.template.frontend_node.chains import TimeTravelGuideChainNode from langflow.template.frontend_node.chains import TimeTravelGuideChainNode
import time
def run_post(client, flow_id, headers, post_data): def run_post(client, flow_id, headers, post_data):
response = client.post( response = client.post(
@ -25,7 +24,7 @@ def run_post(client, flow_id, headers, post_data):
# Helper function to poll task status # Helper function to poll task status
def poll_task_status(client, headers, href, max_attempts=20, sleep_time=1): def poll_task_status(client, headers, href, max_attempts=20, sleep_time=2):
for _ in range(max_attempts): for _ in range(max_attempts):
task_status_response = client.get( task_status_response = client.get(
href, href,

4
tests/test_graph.py
View file

@ -81,8 +81,8 @@ def test_graph_structure(basic_graph):
assert isinstance(node, Vertex) assert isinstance(node, Vertex)
for edge in basic_graph.edges: for edge in basic_graph.edges:
assert isinstance(edge, Edge) assert isinstance(edge, Edge)
assert edge.source_id in basic_graph.vertex_ids assert edge.source_id in basic_graph.vertex_map.keys()
assert edge.target_id in basic_graph.vertex_ids assert edge.target_id in basic_graph.vertex_map.keys()
def test_circular_dependencies(basic_graph): def test_circular_dependencies(basic_graph):

10
tests/test_loading.py
View file

@ -1,9 +1,10 @@
import json import json
import pytest import pytest
from langchain.chains.base import Chain from langchain.chains.base import Chain
from langflow.processing.process import load_flow_from_json
from langflow.graph import Graph from langflow.graph import Graph
from langflow.utils.payload import get_root_node from langflow.processing.process import load_flow_from_json
from langflow.utils.payload import get_root_vertex
def test_load_flow_from_json(): def test_load_flow_from_json():
@ -22,14 +23,15 @@ def test_load_flow_from_json_with_tweaks():
assert loaded.llm.model_name == "test model" assert loaded.llm.model_name == "test model"
def test_get_root_node(): def test_get_root_vertex():
with open(pytest.BASIC_EXAMPLE_PATH, "r") as f: with open(pytest.BASIC_EXAMPLE_PATH, "r") as f:
flow_graph = json.load(f) flow_graph = json.load(f)
data_graph = flow_graph["data"] data_graph = flow_graph["data"]
nodes = data_graph["nodes"] nodes = data_graph["nodes"]
edges = data_graph["edges"] edges = data_graph["edges"]
graph = Graph(nodes, edges) graph = Graph(nodes, edges)
root = get_root_node(graph) root = get_root_vertex(graph)
assert root is not None assert root is not None
assert hasattr(root, "id") assert hasattr(root, "id")
assert hasattr(root, "data") assert hasattr(root, "data")
assert hasattr(root, "data")