Merge branch 'main' into dev
This commit is contained in:
Gabriel Luiz Freitas Almeida
commit
24bb1b2d83
25 changed files with 185 additions and 201 deletions
|
|
@ -15,7 +15,7 @@
|
|||
// "forwardPorts": [],
|
||||
|
||||
// Use 'postCreateCommand' to run commands after the container is created.
|
||||
"postCreateCommand": "make setup_devcontainer",
|
||||
"postCreateCommand": "make install_frontend && make install_backend",
|
||||
|
||||
"containerEnv": {
|
||||
"POETRY_VIRTUALENVS_IN_PROJECT": "true"
|
||||
|
|
@ -31,13 +31,11 @@
|
|||
"sourcery.sourcery",
|
||||
"eamodio.gitlens",
|
||||
"ms-vscode.makefile-tools",
|
||||
"GitHub.vscode-pull-request-github",
|
||||
"Codium.codium",
|
||||
"ms-azuretools.vscode-docker"
|
||||
"GitHub.vscode-pull-request-github"
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
|
||||
// "remoteUser": "root"
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -56,14 +56,6 @@ LANGFLOW_REMOVE_API_KEYS=
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|||
# LANGFLOW_REDIS_CACHE_EXPIRE (default: 3600)
|
||||
LANGFLOW_CACHE_TYPE=
|
||||
|
||||
# Auto login
|
||||
# If set to true then a superuser will be logged in automatically
|
||||
# and the login page will be skipped, keeping the
|
||||
# default experience of Langflow
|
||||
# Values: true, false
|
||||
# Example: LANGFLOW_AUTO_LOGIN=true
|
||||
LANGFLOW_AUTO_LOGIN=
|
||||
|
||||
# Superuser username
|
||||
# Example: LANGFLOW_SUPERUSER=admin
|
||||
LANGFLOW_SUPERUSER=
|
||||
|
|
|
|||
8
.github/workflows/ci.yml
vendored
8
.github/workflows/ci.yml
vendored
|
|
@ -4,18 +4,10 @@ on:
|
|||
push:
|
||||
branches:
|
||||
- dev
|
||||
paths:
|
||||
- "tests/**"
|
||||
- "src/backend/**"
|
||||
- "pyproject.toml"
|
||||
pull_request:
|
||||
branches:
|
||||
- dev
|
||||
- main
|
||||
paths:
|
||||
- "tests/**"
|
||||
- "src/backend/**"
|
||||
- "pyproject.toml"
|
||||
|
||||
jobs:
|
||||
build-and-test:
|
||||
|
|
|
|||
9
.github/workflows/lint.yml
vendored
9
.github/workflows/lint.yml
vendored
|
|
@ -3,16 +3,7 @@ name: lint
|
|||
on:
|
||||
push:
|
||||
branches: [main]
|
||||
paths:
|
||||
- "tests/**"
|
||||
- "src/backend/**"
|
||||
- "pyproject.toml"
|
||||
|
||||
pull_request:
|
||||
paths:
|
||||
- "tests/**"
|
||||
- "src/backend/**"
|
||||
- "pyproject.toml"
|
||||
|
||||
env:
|
||||
POETRY_VERSION: "1.7.0"
|
||||
|
|
|
|||
10
.github/workflows/test.yml
vendored
10
.github/workflows/test.yml
vendored
|
|
@ -3,17 +3,9 @@ name: test
|
|||
on:
|
||||
push:
|
||||
branches: [main]
|
||||
paths:
|
||||
- "tests/**"
|
||||
- "src/backend/**"
|
||||
- "pyproject.toml"
|
||||
|
||||
pull_request:
|
||||
branches: [dev]
|
||||
paths:
|
||||
- "tests/**"
|
||||
- "src/backend/**"
|
||||
- "pyproject.toml"
|
||||
|
||||
env:
|
||||
POETRY_VERSION: "1.5.0"
|
||||
|
||||
|
|
|
|||
4
.gitignore
vendored
4
.gitignore
vendored
|
|
@ -255,6 +255,4 @@ langflow.db
|
|||
|
||||
/tmp/*
|
||||
src/backend/langflow/frontend/
|
||||
.docker
|
||||
|
||||
.idea
|
||||
.docker
|
||||
19
Makefile
19
Makefile
|
|
@ -22,19 +22,13 @@ tests:
|
|||
@make install_backend
|
||||
poetry run pytest tests --instafail
|
||||
|
||||
tests_frontend:
|
||||
ifeq ($(UI), true)
|
||||
cd src/frontend && ./run-tests.sh --ui
|
||||
else
|
||||
cd src/frontend && ./run-tests.sh
|
||||
endif
|
||||
|
||||
format:
|
||||
poetry run ruff . --fix
|
||||
poetry run ruff format .
|
||||
cd src/frontend && npm run format
|
||||
|
||||
lint:
|
||||
make install_backend
|
||||
poetry run mypy src/backend/langflow
|
||||
poetry run ruff . --fix
|
||||
|
||||
|
|
@ -49,20 +43,19 @@ run_frontend:
|
|||
cd src/frontend && npm start
|
||||
|
||||
run_cli:
|
||||
poetry run langflow --path src/frontend/build
|
||||
poetry run langflow run --path src/frontend/build
|
||||
|
||||
run_cli_debug:
|
||||
poetry run langflow --path src/frontend/build --log-level debug
|
||||
poetry run langflow run --path src/frontend/build --log-level debug
|
||||
|
||||
setup_devcontainer:
|
||||
make init
|
||||
make build_frontend
|
||||
@echo 'Run Cli'
|
||||
make run_cli
|
||||
poetry run langflow --path src/frontend/build
|
||||
|
||||
frontend:
|
||||
@-make install_frontend || (echo "An error occurred while installing frontend dependencies. Attempting to fix." && make install_frontendc)
|
||||
@make run_frontend
|
||||
make install_frontend
|
||||
make run_frontend
|
||||
|
||||
frontendc:
|
||||
make install_frontendc
|
||||
|
|
|
|||
|
|
@ -217,40 +217,4 @@ Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP).
|
|||
- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`.
|
||||
- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`.
|
||||
- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored.
|
||||
- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`.
|
||||
|
||||
---
|
||||
|
||||
### QianfanLLMEndpoint
|
||||
|
||||
Wrapper around [Baidu Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html) large language models.
|
||||
|
||||
:::info
|
||||
The Qianfan Big Model Platform is a one-stop platform for enterprise developers to develop and operate large models and services. It provides data management based on ERNIE Bot's underlying model (Ernie Bot), automatic model customization and fine-tuning, and one-stop large-scale model customization services for cloud deployment of prediction services, and provides ERNIE Bot's enterprise level service API that can be quickly called, helping to implement the demand for generative AI applications in various industries.
|
||||
:::
|
||||
|
||||
- **Model Name:** Model name. you could get from https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu preset models are mapping to an endpoint. `Model Name` will be ignored if `Endpoint` is set.
|
||||
- **Qianfan Ak:** which you could get from https://cloud.baidu.com/product/wenxinworkshop.
|
||||
- **Qianfan Sk:** which you could get from https://cloud.baidu.com/product/wenxinworkshop.
|
||||
- **Top p:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. The diversity of the output text is affected, and the larger the value, the stronger the diversity of the generated text - defaults to `0.8`.
|
||||
- **Temperature:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. Higher values make the output more random, while lower values make it more concentrated and deterministic - defaults to `0.95`.
|
||||
- **Penalty Score:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. By increasing the penalty for generated tokens, the phenomenon of duplicate generation is reduced. A higher value indicates a higher penalty - defaults to `1.0`.
|
||||
- **Endpoint:** Endpoint of the Qianfan LLM, required if custom model used.
|
||||
|
||||
---
|
||||
|
||||
### QianfanChatEndpoint
|
||||
|
||||
Wrapper around [Baidu Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html) chat large language models. This component supports some of the LLMs (Large Language Models) available by Baidu qianfan and is used for tasks such as chatbots, Generative Question-Answering (GQA), and summarization.
|
||||
|
||||
:::info
|
||||
The Qianfan Big Model Platform is a one-stop platform for enterprise developers to develop and operate large models and services. It provides data management based on ERNIE Bot's underlying model (Ernie Bot), automatic model customization and fine-tuning, and one-stop large-scale model customization services for cloud deployment of prediction services, and provides ERNIE Bot's enterprise level service API that can be quickly called, helping to implement the demand for generative AI applications in various industries.
|
||||
:::
|
||||
|
||||
- **Model Name:** Model name. you could get from https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu preset models are mapping to an endpoint. `Model Name` will be ignored if `Endpoint` is set.
|
||||
- **Qianfan Ak:** which you could get from https://cloud.baidu.com/product/wenxinworkshop.
|
||||
- **Qianfan Sk:** which you could get from https://cloud.baidu.com/product/wenxinworkshop.
|
||||
- **Top p:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. The diversity of the output text is affected, and the larger the value, the stronger the diversity of the generated text - defaults to `0.8`.
|
||||
- **Temperature:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. Higher values make the output more random, while lower values make it more concentrated and deterministic - defaults to `0.95`.
|
||||
- **Penalty Score:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. By increasing the penalty for generated tokens, the phenomenon of duplicate generation is reduced. A higher value indicates a higher penalty - defaults to `1.0`.
|
||||
- **Endpoint:** Endpoint of the Qianfan LLM, required if custom model used.
|
||||
- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`.
|
||||
BIN
docs/static/videos/langflow_fork.mp4
vendored
BIN
docs/static/videos/langflow_fork.mp4
vendored
Binary file not shown.
BIN
docs/static/videos/langflow_parameters.mp4
vendored
BIN
docs/static/videos/langflow_parameters.mp4
vendored
Binary file not shown.
BIN
docs/static/videos/langflow_widget.mp4
vendored
BIN
docs/static/videos/langflow_widget.mp4
vendored
Binary file not shown.
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|
Before Width: | Height: | Size: 2 MiB After Width: | Height: | Size: 2 MiB |
167
poetry.lock
generated
167
poetry.lock
generated
|
|
@ -167,17 +167,17 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "anthropic"
|
||||
version = "0.7.7"
|
||||
version = "0.7.8"
|
||||
description = "The official Python library for the anthropic API"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "anthropic-0.7.7-py3-none-any.whl", hash = "sha256:49a4b0194faa958ec156e4d242a3b6e029d91389bbed1fc267b5b903a4cfef0d"},
|
||||
{file = "anthropic-0.7.7.tar.gz", hash = "sha256:781ce7bcf8d377e4077b71a0c9045c2f7947db6f6c9fe70352e2a7838e055e59"},
|
||||
{file = "anthropic-0.7.8-py3-none-any.whl", hash = "sha256:268db974578e34d1449cd0d22389394f0c61795ace9a101dcde4eab4b98439bf"},
|
||||
{file = "anthropic-0.7.8.tar.gz", hash = "sha256:61bc698553b24bc7721cf71db8de50703f3025ea2d14fa4bcb5b1d2bf37f9e40"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
anyio = ">=3.5.0,<4"
|
||||
anyio = ">=3.5.0,<5"
|
||||
distro = ">=1.7.0,<2"
|
||||
httpx = ">=0.23.0,<1"
|
||||
pydantic = ">=1.9.0,<3"
|
||||
|
|
@ -398,32 +398,32 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "boto3"
|
||||
version = "1.33.12"
|
||||
version = "1.34.0"
|
||||
description = "The AWS SDK for Python"
|
||||
optional = false
|
||||
python-versions = ">= 3.7"
|
||||
python-versions = ">= 3.8"
|
||||
files = [
|
||||
{file = "boto3-1.33.12-py3-none-any.whl", hash = "sha256:475efcff30401041e9c348e20613eca90ab14a224e2f978ca80de98ba3499435"},
|
||||
{file = "boto3-1.33.12.tar.gz", hash = "sha256:2225edaea2fa17274f62707c12d9f7803c998af7089fe8a1ec8e4f1ebf47677e"},
|
||||
{file = "boto3-1.34.0-py3-none-any.whl", hash = "sha256:8b3c4d4e720c0ad706590c284b8f30c76de3472c1ce1bac610425f99bf6ab53b"},
|
||||
{file = "boto3-1.34.0.tar.gz", hash = "sha256:c9b400529932ed4652304756528ab235c6730aa5d00cb4d9e4848ce460c82c16"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
botocore = ">=1.33.12,<1.34.0"
|
||||
botocore = ">=1.34.0,<1.35.0"
|
||||
jmespath = ">=0.7.1,<2.0.0"
|
||||
s3transfer = ">=0.8.2,<0.9.0"
|
||||
s3transfer = ">=0.9.0,<0.10.0"
|
||||
|
||||
[package.extras]
|
||||
crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
|
||||
|
||||
[[package]]
|
||||
name = "botocore"
|
||||
version = "1.33.12"
|
||||
version = "1.34.0"
|
||||
description = "Low-level, data-driven core of boto 3."
|
||||
optional = false
|
||||
python-versions = ">= 3.7"
|
||||
python-versions = ">= 3.8"
|
||||
files = [
|
||||
{file = "botocore-1.33.12-py3-none-any.whl", hash = "sha256:48b9cfb9c5f7f9634a71782f16a324acb522b65856ad46be69efe04c3322b23c"},
|
||||
{file = "botocore-1.33.12.tar.gz", hash = "sha256:067c94fa88583c04ae897d48a11d2be09f280363b8e794b82d78d631d3a3e910"},
|
||||
{file = "botocore-1.34.0-py3-none-any.whl", hash = "sha256:6ec19f6c9f61c3df22fb3e083940ac7946a3d96128db1f370f10aea702bb157f"},
|
||||
{file = "botocore-1.34.0.tar.gz", hash = "sha256:711b406de910585395466ca649bceeea87a04300ddf74d9a2e20727c7f27f2f1"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -913,13 +913,13 @@ testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
|
|||
|
||||
[[package]]
|
||||
name = "cohere"
|
||||
version = "4.37"
|
||||
version = "4.38"
|
||||
description = "Python SDK for the Cohere API"
|
||||
optional = false
|
||||
python-versions = ">=3.8,<4.0"
|
||||
files = [
|
||||
{file = "cohere-4.37-py3-none-any.whl", hash = "sha256:f3fad3a0f8d86761d4de851dfd2233a1e5c7634a024102212d850bde9c9bb031"},
|
||||
{file = "cohere-4.37.tar.gz", hash = "sha256:788021d9d992c6c31d1985d95cccb277c7265882c4acd7a49b3e47da77b4bec8"},
|
||||
{file = "cohere-4.38-py3-none-any.whl", hash = "sha256:f0edcf779aa6759dd2f91db37dec7b06303029effbd38fecc4e0f8af36aae757"},
|
||||
{file = "cohere-4.38.tar.gz", hash = "sha256:232cde3bb932b154effdab4b78f195032ee2188bf3ae9f1c883a51291307f996"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2084,13 +2084,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
|
|||
|
||||
[[package]]
|
||||
name = "google-api-python-client"
|
||||
version = "2.110.0"
|
||||
version = "2.111.0"
|
||||
description = "Google API Client Library for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google-api-python-client-2.110.0.tar.gz", hash = "sha256:1f825e48c7fdc3c96ad6aac179cb73c3755dfff41d16487fa7130e5efcfe7b76"},
|
||||
{file = "google_api_python_client-2.110.0-py2.py3-none-any.whl", hash = "sha256:55e7ebd6079e34934b6751537eb13447110351ae3792a724a33825d7b671ba13"},
|
||||
{file = "google-api-python-client-2.111.0.tar.gz", hash = "sha256:3a45a53c031478d1c82c7162dd25c9a965247bca6bd438af0838a9d9b8219405"},
|
||||
{file = "google_api_python_client-2.111.0-py2.py3-none-any.whl", hash = "sha256:b605adee2d09a843b97a59925757802904679e44e5599708cedb8939900dfbc7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2125,13 +2125,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
|
|||
|
||||
[[package]]
|
||||
name = "google-auth-httplib2"
|
||||
version = "0.1.1"
|
||||
version = "0.2.0"
|
||||
description = "Google Authentication Library: httplib2 transport"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "google-auth-httplib2-0.1.1.tar.gz", hash = "sha256:c64bc555fdc6dd788ea62ecf7bccffcf497bf77244887a3f3d7a5a02f8e3fc29"},
|
||||
{file = "google_auth_httplib2-0.1.1-py2.py3-none-any.whl", hash = "sha256:42c50900b8e4dcdf8222364d1f0efe32b8421fb6ed72f2613f12f75cc933478c"},
|
||||
{file = "google-auth-httplib2-0.2.0.tar.gz", hash = "sha256:38aa7badf48f974f1eb9861794e9c0cb2a0511a4ec0679b1f886d108f5640e05"},
|
||||
{file = "google_auth_httplib2-0.2.0-py2.py3-none-any.whl", hash = "sha256:b65a0a2123300dd71281a7bf6e64d65a0759287df52729bdd1ae2e47dc311a3d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2140,13 +2140,13 @@ httplib2 = ">=0.19.0"
|
|||
|
||||
[[package]]
|
||||
name = "google-cloud-aiplatform"
|
||||
version = "1.37.0"
|
||||
version = "1.38.0"
|
||||
description = "Vertex AI API client library"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "google-cloud-aiplatform-1.37.0.tar.gz", hash = "sha256:51cac0334fc7274142b50363dd10cbb3d303ff6354e5c06a7fb51e1b7db02dfb"},
|
||||
{file = "google_cloud_aiplatform-1.37.0-py2.py3-none-any.whl", hash = "sha256:9b3d6e681084a60b7e4de7063d41ca2d354b3546a918609ddaf9d8d1f8b19c36"},
|
||||
{file = "google-cloud-aiplatform-1.38.0.tar.gz", hash = "sha256:dff91f79b64e279f0e61dfd63c4e067ba5fa75ef0f4614289bbdca70d086a9e2"},
|
||||
{file = "google_cloud_aiplatform-1.38.0-py2.py3-none-any.whl", hash = "sha256:7eec50d9a36d43e163f019a1ade9284d4580602a5108738a0ebff8940ea47ce0"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2244,13 +2244,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
|
|||
|
||||
[[package]]
|
||||
name = "google-cloud-storage"
|
||||
version = "2.13.0"
|
||||
version = "2.14.0"
|
||||
description = "Google Cloud Storage API client library"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google-cloud-storage-2.13.0.tar.gz", hash = "sha256:f62dc4c7b6cd4360d072e3deb28035fbdad491ac3d9b0b1815a12daea10f37c7"},
|
||||
{file = "google_cloud_storage-2.13.0-py2.py3-none-any.whl", hash = "sha256:ab0bf2e1780a1b74cf17fccb13788070b729f50c252f0c94ada2aae0ca95437d"},
|
||||
{file = "google-cloud-storage-2.14.0.tar.gz", hash = "sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e"},
|
||||
{file = "google_cloud_storage-2.14.0-py2.py3-none-any.whl", hash = "sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2346,13 +2346,13 @@ testing = ["pytest"]
|
|||
|
||||
[[package]]
|
||||
name = "google-resumable-media"
|
||||
version = "2.6.0"
|
||||
version = "2.7.0"
|
||||
description = "Utilities for Google Media Downloads and Resumable Uploads"
|
||||
optional = false
|
||||
python-versions = ">= 3.7"
|
||||
files = [
|
||||
{file = "google-resumable-media-2.6.0.tar.gz", hash = "sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7"},
|
||||
{file = "google_resumable_media-2.6.0-py2.py3-none-any.whl", hash = "sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b"},
|
||||
{file = "google-resumable-media-2.7.0.tar.gz", hash = "sha256:5f18f5fa9836f4b083162064a1c2c98c17239bfda9ca50ad970ccf905f3e625b"},
|
||||
{file = "google_resumable_media-2.7.0-py2.py3-none-any.whl", hash = "sha256:79543cfe433b63fd81c0844b7803aba1bb8950b47bedf7d980c38fa123937e08"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3512,13 +3512,13 @@ zookeeper = ["kazoo (>=2.8.0)"]
|
|||
|
||||
[[package]]
|
||||
name = "langchain"
|
||||
version = "0.0.349"
|
||||
version = "0.0.350"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langchain-0.0.349-py3-none-any.whl", hash = "sha256:8a0933238945ef713b418d2b9f50e950b3cf8745877c74059525794f191f20e6"},
|
||||
{file = "langchain-0.0.349.tar.gz", hash = "sha256:c795ffca68349a74b3cf7235441608095178d70069bb37a3d8c9050a14c570c8"},
|
||||
{file = "langchain-0.0.350-py3-none-any.whl", hash = "sha256:11b605f325a4271a7815baaec05bc7622e3ad1f10f26b05c752cafa27663ed38"},
|
||||
{file = "langchain-0.0.350.tar.gz", hash = "sha256:f0e68a92d200bb722586688ab7b411b2430bd98ad265ca03b264e7e7acbb6c01"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3526,8 +3526,8 @@ aiohttp = ">=3.8.3,<4.0.0"
|
|||
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
|
||||
dataclasses-json = ">=0.5.7,<0.7"
|
||||
jsonpatch = ">=1.33,<2.0"
|
||||
langchain-community = ">=0.0.1,<0.1"
|
||||
langchain-core = ">=0.0.13,<0.1"
|
||||
langchain-community = ">=0.0.2,<0.1"
|
||||
langchain-core = ">=0.1,<0.2"
|
||||
langsmith = ">=0.0.63,<0.1.0"
|
||||
numpy = ">=1,<2"
|
||||
pydantic = ">=1,<3"
|
||||
|
|
@ -3552,19 +3552,19 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
|
|||
|
||||
[[package]]
|
||||
name = "langchain-community"
|
||||
version = "0.0.1"
|
||||
version = "0.0.3"
|
||||
description = "Community contributed LangChain integrations."
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langchain_community-0.0.1-py3-none-any.whl", hash = "sha256:73119fc356502595862e6056ed2bc447455c1e612df55bac08f9cb8056a4ca29"},
|
||||
{file = "langchain_community-0.0.1.tar.gz", hash = "sha256:271a959cb3a0efc3e9afb62799588ff6cd774fa333c6d514a9be1d5809fb112b"},
|
||||
{file = "langchain_community-0.0.3-py3-none-any.whl", hash = "sha256:12930ce0bcc39e86804f15e5a31029f836e694d3169b8b10972702760498cf6b"},
|
||||
{file = "langchain_community-0.0.3.tar.gz", hash = "sha256:f5df5367504f3ca9c2faed390e2c55a338d236d823c61db4d1b237fbe239b04a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
aiohttp = ">=3.8.3,<4.0.0"
|
||||
dataclasses-json = ">=0.5.7,<0.7"
|
||||
langchain-core = ">=0.0.13,<0.1"
|
||||
langchain-core = ">=0.1,<0.2"
|
||||
langsmith = ">=0.0.63,<0.1.0"
|
||||
numpy = ">=1,<2"
|
||||
PyYAML = ">=5.3"
|
||||
|
|
@ -3578,13 +3578,13 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.
|
|||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "0.0.13"
|
||||
version = "0.1.0"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langchain_core-0.0.13-py3-none-any.whl", hash = "sha256:36d33a3d280877fb29a1f0f292b9b02b9ba29bf43fb54090b7364f00d5925459"},
|
||||
{file = "langchain_core-0.0.13.tar.gz", hash = "sha256:fcfc13d2c314c0441c8f1f8b79395316df5873c1c7a687c8c5c553b3824840b6"},
|
||||
{file = "langchain_core-0.1.0-py3-none-any.whl", hash = "sha256:6b155a175e1f1555860b22333c14161c652b0013e229e7b8a083639c821312a8"},
|
||||
{file = "langchain_core-0.1.0.tar.gz", hash = "sha256:4c70aa62905896b65c47a966f87584f72026cbe402655749281df81c794e0d6e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3602,18 +3602,18 @@ extended-testing = ["jinja2 (>=3,<4)"]
|
|||
|
||||
[[package]]
|
||||
name = "langchain-experimental"
|
||||
version = "0.0.46"
|
||||
version = "0.0.47"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langchain_experimental-0.0.46-py3-none-any.whl", hash = "sha256:64a71daf8807e6429ae08cf97da3bb3475416546b0d97c8051fe4dab42cb8489"},
|
||||
{file = "langchain_experimental-0.0.46.tar.gz", hash = "sha256:9510ecce974b5722c77dd469cb6c5b9bc82195ca7ae070f4ef835861dc31c0fc"},
|
||||
{file = "langchain_experimental-0.0.47-py3-none-any.whl", hash = "sha256:d5b6930c4e0a6f280cbb7d327d03d86f555f6168e185a1df64ba4a52b1059f65"},
|
||||
{file = "langchain_experimental-0.0.47.tar.gz", hash = "sha256:0fdba89a438287c14fa0632c6adf87acffd55158a2f66c7a12be7721a7882a0e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
langchain = ">=0.0.349,<0.1"
|
||||
langchain-core = ">=0.0.13,<0.1"
|
||||
langchain = ">=0.0.350,<0.1"
|
||||
langchain-core = ">=0.1,<0.2"
|
||||
|
||||
[package.extras]
|
||||
extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "presidio-analyzer (>=2.2.33,<3.0.0)", "presidio-anonymizer (>=2.2.33,<3.0.0)", "sentence-transformers (>=2,<3)", "vowpal-wabbit-next (==0.6.0)"]
|
||||
|
|
@ -3634,13 +3634,13 @@ six = "*"
|
|||
|
||||
[[package]]
|
||||
name = "langfuse"
|
||||
version = "1.13.2"
|
||||
version = "1.14.0"
|
||||
description = "A client library for accessing langfuse"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langfuse-1.13.2-py3-none-any.whl", hash = "sha256:f64b857f8985ab7f43519b55ad5fe11d57d0224bc18de4cdbfc9aa981600268d"},
|
||||
{file = "langfuse-1.13.2.tar.gz", hash = "sha256:3ada040076f2df2fda33ca696fbfa532ea486ff85e27e5eebeb71aba760a5770"},
|
||||
{file = "langfuse-1.14.0-py3-none-any.whl", hash = "sha256:f5af266bbc26223acf69928836d21026611d8a31ad3e54082c0ee364f05e0e50"},
|
||||
{file = "langfuse-1.14.0.tar.gz", hash = "sha256:7d76cec5e60e4e603753edf6ade95d360c9e8e373aa069f103aad32059dd82f0"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3652,6 +3652,7 @@ openai = ">=0.27.8"
|
|||
pydantic = ">=1.10.7,<3.0"
|
||||
python-dateutil = ">=2.8.0,<3.0"
|
||||
pytz = ">=2023.3,<2024.0"
|
||||
requests = ">=2.31.0,<3.0"
|
||||
wrapt = "1.14"
|
||||
|
||||
[package.extras]
|
||||
|
|
@ -3712,13 +3713,13 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)"]
|
|||
|
||||
[[package]]
|
||||
name = "locust"
|
||||
version = "2.19.1"
|
||||
version = "2.20.0"
|
||||
description = "Developer friendly load testing framework"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "locust-2.19.1-py3-none-any.whl", hash = "sha256:152d6c9b1d8b842422a9ef352d13529d337d5c4e1e0c0a3e0827c1b5eafb903d"},
|
||||
{file = "locust-2.19.1.tar.gz", hash = "sha256:5c21609b1395833dc0b4bb3ddaaf709a88f6e70950aefce86e11eb5944fe9217"},
|
||||
{file = "locust-2.20.0-py3-none-any.whl", hash = "sha256:8092dde31c4cfb43b9b40470ffc7c5f95b3a491dfcb813bb50567edec28451dc"},
|
||||
{file = "locust-2.20.0.tar.gz", hash = "sha256:b6f78af64bc5066babe54836f796469906cd606b01f34ee788986d0b1fbac99a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -4659,13 +4660,13 @@ sympy = "*"
|
|||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "1.3.8"
|
||||
version = "1.3.9"
|
||||
description = "The official Python library for the openai API"
|
||||
optional = false
|
||||
python-versions = ">=3.7.1"
|
||||
files = [
|
||||
{file = "openai-1.3.8-py3-none-any.whl", hash = "sha256:ac5a17352b96db862390d2e6f51de9f7eb32e733f412467b2f160fbd3d0f2609"},
|
||||
{file = "openai-1.3.8.tar.gz", hash = "sha256:54963ff247abe185aad6ee443820e48ad9f87eb4de970acb2514bc113ced748c"},
|
||||
{file = "openai-1.3.9-py3-none-any.whl", hash = "sha256:d30faeffe5995a2cf6b790c0260a5b59647e81c3a1f3b62f51b5e0a0e52681c9"},
|
||||
{file = "openai-1.3.9.tar.gz", hash = "sha256:6f638d96bc89b4394be1d7b37d312f70a055df1a471c92d4c4b2ae3a70c98cb3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -5393,13 +5394,13 @@ twisted = ["twisted"]
|
|||
|
||||
[[package]]
|
||||
name = "prompt-toolkit"
|
||||
version = "3.0.41"
|
||||
version = "3.0.43"
|
||||
description = "Library for building powerful interactive command lines in Python"
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
|
||||
{file = "prompt_toolkit-3.0.41-py3-none-any.whl", hash = "sha256:f36fe301fafb7470e86aaf90f036eef600a3210be4decf461a5b1ca8403d3cb2"},
|
||||
{file = "prompt_toolkit-3.0.41.tar.gz", hash = "sha256:941367d97fc815548822aa26c2a269fdc4eb21e9ec05fc5d447cf09bad5d75f0"},
|
||||
{file = "prompt_toolkit-3.0.43-py3-none-any.whl", hash = "sha256:a11a29cb3bf0a28a387fe5122cdb649816a957cd9261dcedf8c9f1fef33eacf6"},
|
||||
{file = "prompt_toolkit-3.0.43.tar.gz", hash = "sha256:3527b7af26106cbc65a040bcc84839a3566ec1b051bb0bfe953631e704b0ff7d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -7118,39 +7119,39 @@ msg-parse = ["extract-msg (>=0.27)"]
|
|||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.1.7"
|
||||
version = "0.1.8"
|
||||
description = "An extremely fast Python linter and code formatter, written in Rust."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "ruff-0.1.7-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:7f80496854fdc65b6659c271d2c26e90d4d401e6a4a31908e7e334fab4645aac"},
|
||||
{file = "ruff-0.1.7-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:1ea109bdb23c2a4413f397ebd8ac32cb498bee234d4191ae1a310af760e5d287"},
|
||||
{file = "ruff-0.1.7-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b0c2de9dd9daf5e07624c24add25c3a490dbf74b0e9bca4145c632457b3b42a"},
|
||||
{file = "ruff-0.1.7-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:69a4bed13bc1d5dabf3902522b5a2aadfebe28226c6269694283c3b0cecb45fd"},
|
||||
{file = "ruff-0.1.7-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de02ca331f2143195a712983a57137c5ec0f10acc4aa81f7c1f86519e52b92a1"},
|
||||
{file = "ruff-0.1.7-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:45b38c3f8788a65e6a2cab02e0f7adfa88872696839d9882c13b7e2f35d64c5f"},
|
||||
{file = "ruff-0.1.7-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6c64cb67b2025b1ac6d58e5ffca8f7b3f7fd921f35e78198411237e4f0db8e73"},
|
||||
{file = "ruff-0.1.7-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9dcc6bb2f4df59cb5b4b40ff14be7d57012179d69c6565c1da0d1f013d29951b"},
|
||||
{file = "ruff-0.1.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:df2bb4bb6bbe921f6b4f5b6fdd8d8468c940731cb9406f274ae8c5ed7a78c478"},
|
||||
{file = "ruff-0.1.7-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:276a89bcb149b3d8c1b11d91aa81898fe698900ed553a08129b38d9d6570e717"},
|
||||
{file = "ruff-0.1.7-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:90c958fe950735041f1c80d21b42184f1072cc3975d05e736e8d66fc377119ea"},
|
||||
{file = "ruff-0.1.7-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6b05e3b123f93bb4146a761b7a7d57af8cb7384ccb2502d29d736eaade0db519"},
|
||||
{file = "ruff-0.1.7-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:290ecab680dce94affebefe0bbca2322a6277e83d4f29234627e0f8f6b4fa9ce"},
|
||||
{file = "ruff-0.1.7-py3-none-win32.whl", hash = "sha256:416dfd0bd45d1a2baa3b1b07b1b9758e7d993c256d3e51dc6e03a5e7901c7d80"},
|
||||
{file = "ruff-0.1.7-py3-none-win_amd64.whl", hash = "sha256:4af95fd1d3b001fc41325064336db36e3d27d2004cdb6d21fd617d45a172dd96"},
|
||||
{file = "ruff-0.1.7-py3-none-win_arm64.whl", hash = "sha256:0683b7bfbb95e6df3c7c04fe9d78f631f8e8ba4868dfc932d43d690698057e2e"},
|
||||
{file = "ruff-0.1.7.tar.gz", hash = "sha256:dffd699d07abf54833e5f6cc50b85a6ff043715da8788c4a79bcd4ab4734d306"},
|
||||
{file = "ruff-0.1.8-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:7de792582f6e490ae6aef36a58d85df9f7a0cfd1b0d4fe6b4fb51803a3ac96fa"},
|
||||
{file = "ruff-0.1.8-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:c8e3255afd186c142eef4ec400d7826134f028a85da2146102a1172ecc7c3696"},
|
||||
{file = "ruff-0.1.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff78a7583020da124dd0deb835ece1d87bb91762d40c514ee9b67a087940528b"},
|
||||
{file = "ruff-0.1.8-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bd8ee69b02e7bdefe1e5da2d5b6eaaddcf4f90859f00281b2333c0e3a0cc9cd6"},
|
||||
{file = "ruff-0.1.8-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a05b0ddd7ea25495e4115a43125e8a7ebed0aa043c3d432de7e7d6e8e8cd6448"},
|
||||
{file = "ruff-0.1.8-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:e6f08ca730f4dc1b76b473bdf30b1b37d42da379202a059eae54ec7fc1fbcfed"},
|
||||
{file = "ruff-0.1.8-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f35960b02df6b827c1b903091bb14f4b003f6cf102705efc4ce78132a0aa5af3"},
|
||||
{file = "ruff-0.1.8-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7d076717c67b34c162da7c1a5bda16ffc205e0e0072c03745275e7eab888719f"},
|
||||
{file = "ruff-0.1.8-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b6a21ab023124eafb7cef6d038f835cb1155cd5ea798edd8d9eb2f8b84be07d9"},
|
||||
{file = "ruff-0.1.8-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:ce697c463458555027dfb194cb96d26608abab920fa85213deb5edf26e026664"},
|
||||
{file = "ruff-0.1.8-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:db6cedd9ffed55548ab313ad718bc34582d394e27a7875b4b952c2d29c001b26"},
|
||||
{file = "ruff-0.1.8-py3-none-musllinux_1_2_i686.whl", hash = "sha256:05ffe9dbd278965271252704eddb97b4384bf58b971054d517decfbf8c523f05"},
|
||||
{file = "ruff-0.1.8-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:5daaeaf00ae3c1efec9742ff294b06c3a2a9db8d3db51ee4851c12ad385cda30"},
|
||||
{file = "ruff-0.1.8-py3-none-win32.whl", hash = "sha256:e49fbdfe257fa41e5c9e13c79b9e79a23a79bd0e40b9314bc53840f520c2c0b3"},
|
||||
{file = "ruff-0.1.8-py3-none-win_amd64.whl", hash = "sha256:f41f692f1691ad87f51708b823af4bb2c5c87c9248ddd3191c8f088e66ce590a"},
|
||||
{file = "ruff-0.1.8-py3-none-win_arm64.whl", hash = "sha256:aa8ee4f8440023b0a6c3707f76cadce8657553655dcbb5fc9b2f9bb9bee389f6"},
|
||||
{file = "ruff-0.1.8.tar.gz", hash = "sha256:f7ee467677467526cfe135eab86a40a0e8db43117936ac4f9b469ce9cdb3fb62"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "s3transfer"
|
||||
version = "0.8.2"
|
||||
version = "0.9.0"
|
||||
description = "An Amazon S3 Transfer Manager"
|
||||
optional = false
|
||||
python-versions = ">= 3.7"
|
||||
python-versions = ">= 3.8"
|
||||
files = [
|
||||
{file = "s3transfer-0.8.2-py3-none-any.whl", hash = "sha256:c9e56cbe88b28d8e197cf841f1f0c130f246595e77ae5b5a05b69fe7cb83de76"},
|
||||
{file = "s3transfer-0.8.2.tar.gz", hash = "sha256:368ac6876a9e9ed91f6bc86581e319be08188dc60d50e0d56308ed5765446283"},
|
||||
{file = "s3transfer-0.9.0-py3-none-any.whl", hash = "sha256:01d4d2c35a016db8cb14f9a4d5e84c1f8c96e7ffc211422555eed45c11fa7eb1"},
|
||||
{file = "s3transfer-0.9.0.tar.gz", hash = "sha256:9e1b186ec8bb5907a1e82b51237091889a9973a2bb799a924bcd9f301ff79d3d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
[tool.poetry]
|
||||
name = "langflow"
|
||||
version = "0.6.0rc1"
|
||||
version = "0.6.1"
|
||||
description = "A Python package with a built-in web application"
|
||||
authors = ["Logspace <contact@logspace.ai>"]
|
||||
maintainers = [
|
||||
|
|
|
|||
|
|
@ -142,7 +142,7 @@ async def stream_build(
|
|||
|
||||
number_of_nodes = len(graph.vertices)
|
||||
update_build_status(cache_service, flow_id, BuildStatus.IN_PROGRESS)
|
||||
|
||||
time_elapsed = ""
|
||||
try:
|
||||
user_id = flow_cache["user_id"]
|
||||
except KeyError:
|
||||
|
|
@ -175,8 +175,10 @@ async def stream_build(
|
|||
logger.exception(exc)
|
||||
params = str(exc)
|
||||
valid = False
|
||||
time_elapsed = format_elapsed_time(time.perf_counter() - start_time)
|
||||
update_build_status(cache_service, flow_id, BuildStatus.FAILURE)
|
||||
|
||||
|
||||
vertex_id = vertex.parent_node_id if vertex.parent_is_top_level else vertex.id
|
||||
if vertex_id in graph.top_level_vertices:
|
||||
response = {
|
||||
|
|
|
|||
|
|
@ -5,13 +5,14 @@ from uuid import UUID
|
|||
import orjson
|
||||
from fastapi import APIRouter, Depends, File, HTTPException, UploadFile
|
||||
from fastapi.encoders import jsonable_encoder
|
||||
from sqlmodel import Session, select
|
||||
|
||||
from langflow.api.utils import remove_api_keys, validate_is_component
|
||||
from langflow.api.v1.schemas import FlowListCreate, FlowListRead
|
||||
from langflow.services.auth.utils import get_current_active_user
|
||||
from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate
|
||||
from langflow.services.database.models.user.model import User
|
||||
from langflow.services.deps import get_session, get_settings_service
|
||||
from sqlmodel import Session, select
|
||||
|
||||
# build router
|
||||
router = APIRouter(prefix="/flows", tags=["Flows"])
|
||||
|
|
@ -122,7 +123,7 @@ def create_flows(
|
|||
db_flows = []
|
||||
for flow in flow_list.flows:
|
||||
flow.user_id = current_user.id
|
||||
db_flow = Flow.from_orm(flow)
|
||||
db_flow = Flow.model_validate(flow, from_attributes=True)
|
||||
session.add(db_flow)
|
||||
db_flows.append(db_flow)
|
||||
session.commit()
|
||||
|
|
|
|||
|
|
@ -1,6 +1,11 @@
|
|||
from uuid import UUID
|
||||
|
||||
from fastapi import APIRouter, Depends, HTTPException
|
||||
from sqlalchemy import func
|
||||
from sqlalchemy.exc import IntegrityError
|
||||
from sqlmodel import Session, select
|
||||
from sqlmodel.sql.expression import SelectOfScalar
|
||||
|
||||
from langflow.api.v1.schemas import UsersResponse
|
||||
from langflow.services.auth.utils import (
|
||||
get_current_active_superuser,
|
||||
|
|
@ -11,10 +16,6 @@ from langflow.services.auth.utils import (
|
|||
from langflow.services.database.models.user import User, UserCreate, UserRead, UserUpdate
|
||||
from langflow.services.database.models.user.crud import get_user_by_id, update_user
|
||||
from langflow.services.deps import get_session, get_settings_service
|
||||
from sqlalchemy import func
|
||||
from sqlalchemy.exc import IntegrityError
|
||||
from sqlmodel import Session, select
|
||||
from sqlmodel.sql.expression import SelectOfScalar
|
||||
|
||||
router = APIRouter(tags=["Users"], prefix="/users")
|
||||
|
||||
|
|
@ -28,7 +29,7 @@ def add_user(
|
|||
"""
|
||||
Add a new user to the database.
|
||||
"""
|
||||
new_user = User.from_orm(user)
|
||||
new_user = User.model_validate(user, from_attributes=True)
|
||||
try:
|
||||
new_user.password = get_password_hash(user.password)
|
||||
new_user.is_active = settings_service.auth_settings.NEW_USER_IS_ACTIVE
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
from typing import Optional, Union
|
||||
from typing import List, Optional, Union
|
||||
|
||||
import chromadb # type: ignore
|
||||
from langchain.embeddings.base import Embeddings
|
||||
|
|
@ -56,7 +56,7 @@ class ChromaComponent(CustomComponent):
|
|||
embedding: Embeddings,
|
||||
chroma_server_ssl_enabled: bool,
|
||||
persist_directory: Optional[str] = None,
|
||||
documents: Optional[Document] = None,
|
||||
documents: Optional[List[Document]] = None,
|
||||
chroma_server_cors_allow_origins: Optional[str] = None,
|
||||
chroma_server_host: Optional[str] = None,
|
||||
chroma_server_port: Optional[int] = None,
|
||||
|
|
|
|||
|
|
@ -209,15 +209,18 @@ class Graph:
|
|||
edges.append(Edge(source, target, edge))
|
||||
return edges
|
||||
|
||||
def _get_vertex_class(self, vertex_type: str, vertex_lc_type: str) -> Type[Vertex]:
|
||||
def _get_vertex_class(self, vertex_type: str, vertex_base_type: str) -> Type[Vertex]:
|
||||
"""Returns the vertex class based on the vertex type."""
|
||||
if vertex_type in FILE_TOOLS:
|
||||
return FileToolVertex
|
||||
if vertex_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
|
||||
return lazy_load_vertex_dict.VERTEX_TYPE_MAP[vertex_type]
|
||||
if vertex_base_type == "CustomComponent":
|
||||
return lazy_load_vertex_dict.get_custom_component_vertex_type()
|
||||
|
||||
if vertex_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
|
||||
return lazy_load_vertex_dict.VERTEX_TYPE_MAP[vertex_base_type]
|
||||
return (
|
||||
lazy_load_vertex_dict.VERTEX_TYPE_MAP[vertex_lc_type]
|
||||
if vertex_lc_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP
|
||||
lazy_load_vertex_dict.VERTEX_TYPE_MAP[vertex_type]
|
||||
if vertex_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP
|
||||
else Vertex
|
||||
)
|
||||
|
||||
|
|
@ -227,9 +230,9 @@ class Graph:
|
|||
for vertex in self._vertices:
|
||||
vertex_data = vertex["data"]
|
||||
vertex_type: str = vertex_data["type"] # type: ignore
|
||||
vertex_lc_type: str = vertex_data["node"]["template"]["_type"] # type: ignore
|
||||
vertex_base_type: str = vertex_data["node"]["template"]["_type"] # type: ignore
|
||||
|
||||
VertexClass = self._get_vertex_class(vertex_type, vertex_lc_type)
|
||||
VertexClass = self._get_vertex_class(vertex_type, vertex_base_type)
|
||||
vertex_instance = VertexClass(vertex, graph=self)
|
||||
vertex_instance.set_top_level(self.top_level_vertices)
|
||||
vertices.append(vertex_instance)
|
||||
|
|
|
|||
|
|
@ -1,19 +1,19 @@
|
|||
from langflow.graph.vertex import types
|
||||
from langflow.interface.agents.base import agent_creator
|
||||
from langflow.interface.chains.base import chain_creator
|
||||
from langflow.interface.custom.base import custom_component_creator
|
||||
from langflow.interface.document_loaders.base import documentloader_creator
|
||||
from langflow.interface.embeddings.base import embedding_creator
|
||||
from langflow.interface.llms.base import llm_creator
|
||||
from langflow.interface.memories.base import memory_creator
|
||||
from langflow.interface.output_parsers.base import output_parser_creator
|
||||
from langflow.interface.prompts.base import prompt_creator
|
||||
from langflow.interface.retrievers.base import retriever_creator
|
||||
from langflow.interface.text_splitters.base import textsplitter_creator
|
||||
from langflow.interface.toolkits.base import toolkits_creator
|
||||
from langflow.interface.tools.base import tool_creator
|
||||
from langflow.interface.vector_store.base import vectorstore_creator
|
||||
from langflow.interface.wrappers.base import wrapper_creator
|
||||
from langflow.interface.output_parsers.base import output_parser_creator
|
||||
from langflow.interface.retrievers.base import retriever_creator
|
||||
from langflow.interface.custom.base import custom_component_creator
|
||||
from langflow.utils.lazy_load import LazyLoadDictBase
|
||||
|
||||
|
||||
|
|
@ -32,6 +32,9 @@ class VertexTypesDict(LazyLoadDictBase):
|
|||
"Custom": ["Custom Tool", "Python Function"],
|
||||
}
|
||||
|
||||
def get_custom_component_vertex_type(self):
|
||||
return types.CustomComponentVertex
|
||||
|
||||
def get_type_dict(self):
|
||||
return {
|
||||
**{t: types.PromptVertex for t in prompt_creator.to_list()},
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ def create_api_key(session: Session, api_key_create: ApiKeyCreate, user_id: UUID
|
|||
session.add(api_key)
|
||||
session.commit()
|
||||
session.refresh(api_key)
|
||||
unmasked = UnmaskedApiKeyRead.from_orm(api_key)
|
||||
unmasked = UnmaskedApiKeyRead.model_validate(api_key, from_attributes=True)
|
||||
unmasked.api_key = generated_api_key
|
||||
return unmasked
|
||||
|
||||
|
|
|
|||
|
|
@ -10,15 +10,16 @@ import orjson
|
|||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
from httpx import AsyncClient
|
||||
from sqlmodel import Session, SQLModel, create_engine
|
||||
from sqlmodel.pool import StaticPool
|
||||
from typer.testing import CliRunner
|
||||
|
||||
from langflow.graph.graph.base import Graph
|
||||
from langflow.services.auth.utils import get_password_hash
|
||||
from langflow.services.database.models.flow.model import Flow, FlowCreate
|
||||
from langflow.services.database.models.user.model import User, UserCreate
|
||||
from langflow.services.database.utils import session_getter
|
||||
from langflow.services.deps import get_db_service
|
||||
from sqlmodel import Session, SQLModel, create_engine
|
||||
from sqlmodel.pool import StaticPool
|
||||
from typer.testing import CliRunner
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langflow.services.database.service import DatabaseService
|
||||
|
|
|
|||
|
|
@ -9,6 +9,7 @@ import pytest
|
|||
from langchain.agents import AgentExecutor
|
||||
from langchain.chains.base import Chain
|
||||
from langchain.llms.fake import FakeListLLM
|
||||
|
||||
from langflow.graph import Graph
|
||||
from langflow.graph.edge.base import Edge
|
||||
from langflow.graph.graph.utils import (
|
||||
|
|
@ -151,6 +152,55 @@ def test_get_node_neighbors_basic(basic_graph):
|
|||
assert any("OpenAI" in neighbor.data["type"] for neighbor, val in neighbors.items() if val)
|
||||
|
||||
|
||||
# def test_get_node_neighbors_complex(complex_graph):
|
||||
# """Test getting node neighbors"""
|
||||
# assert isinstance(complex_graph, Graph)
|
||||
# # Get root node
|
||||
# root = get_root_node(complex_graph)
|
||||
# assert root is not None
|
||||
# neighbors = complex_graph.get_nodes_with_target(root)
|
||||
# assert neighbors is not None
|
||||
# # Neighbors should be a list of nodes
|
||||
# assert isinstance(neighbors, list)
|
||||
# # Root Node is an Agent, it requires an LLMChain and tools
|
||||
# # We need to check if there is a Chain in the one of the neighbors'
|
||||
# assert any("Chain" in neighbor.data["type"] for neighbor in neighbors)
|
||||
# # assert Tool is in the neighbors
|
||||
# assert any("Tool" in neighbor.data["type"] for neighbor in neighbors)
|
||||
# # Now on to the Chain's neighbors
|
||||
# chain = next(neighbor for neighbor in neighbors if "Chain" in neighbor.data["type"])
|
||||
# chain_neighbors = complex_graph.get_nodes_with_target(chain)
|
||||
# assert chain_neighbors is not None
|
||||
# # Check if there is a LLM in the chain's neighbors
|
||||
# assert any("OpenAI" in neighbor.data["type"] for neighbor in chain_neighbors)
|
||||
# # Chain should have a Prompt as a neighbor
|
||||
# assert any("Prompt" in neighbor.data["type"] for neighbor in chain_neighbors)
|
||||
# # Now on to the Tool's neighbors
|
||||
# tool = next(neighbor for neighbor in neighbors if "Tool" in neighbor.data["type"])
|
||||
# tool_neighbors = complex_graph.get_nodes_with_target(tool)
|
||||
# assert tool_neighbors is not None
|
||||
# # Check if there is an Agent in the tool's neighbors
|
||||
# assert any("Agent" in neighbor.data["type"] for neighbor in tool_neighbors)
|
||||
# # This Agent has a Tool that has a PythonFunction as func
|
||||
# agent = next(
|
||||
# neighbor for neighbor in tool_neighbors if "Agent" in neighbor.data["type"]
|
||||
# )
|
||||
# agent_neighbors = complex_graph.get_nodes_with_target(agent)
|
||||
# assert agent_neighbors is not None
|
||||
# # Check if there is a Tool in the agent's neighbors
|
||||
# assert any("Tool" in neighbor.data["type"] for neighbor in agent_neighbors)
|
||||
# # This Tool has a PythonFunction as func
|
||||
# tool = next(
|
||||
# neighbor for neighbor in agent_neighbors if "Tool" in neighbor.data["type"]
|
||||
# )
|
||||
# tool_neighbors = complex_graph.get_nodes_with_target(tool)
|
||||
# assert tool_neighbors is not None
|
||||
# # Check if there is a PythonFunction in the tool's neighbors
|
||||
# assert any(
|
||||
# "PythonFunctionTool" in neighbor.data["type"] for neighbor in tool_neighbors
|
||||
# )
|
||||
|
||||
|
||||
def test_get_node(basic_graph):
|
||||
"""Test getting a single node"""
|
||||
node_id = basic_graph.vertices[0].id
|
||||
|
|
|
|||
|
|
@ -1,4 +1,5 @@
|
|||
from fastapi.testclient import TestClient
|
||||
|
||||
from langflow.services.deps import get_settings_service
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -2,6 +2,8 @@ import importlib
|
|||
from typing import Dict, List, Optional
|
||||
|
||||
import pytest
|
||||
from pydantic import BaseModel
|
||||
|
||||
from langflow.utils.constants import CHAT_OPENAI_MODELS, OPENAI_MODELS
|
||||
from langflow.utils.util import (
|
||||
build_template_from_class,
|
||||
|
|
@ -10,7 +12,6 @@ from langflow.utils.util import (
|
|||
get_base_classes,
|
||||
get_default_factory,
|
||||
)
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
# Dummy classes for testing purposes
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue