Merge branch 'dev' into variables_refactor
This commit is contained in:
anovazzi1
commit
303387a3ec
101 changed files with 1799 additions and 917 deletions
10
.vscode/launch.json
vendored
10
.vscode/launch.json
vendored
|
|
@ -1,4 +1,5 @@
|
|||
{
|
||||
"version": "0.2.0",
|
||||
"configurations": [
|
||||
{
|
||||
"name": "Debug Backend",
|
||||
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@ -38,6 +39,15 @@
|
|||
"request": "launch",
|
||||
"url": "http://localhost:3000/",
|
||||
"webRoot": "${workspaceRoot}/src/frontend"
|
||||
},
|
||||
{
|
||||
"name": "Python: Debug Tests",
|
||||
"type": "python",
|
||||
"request": "launch",
|
||||
"program": "${file}",
|
||||
"purpose": ["debug-test"],
|
||||
"console": "integratedTerminal",
|
||||
"justMyCode": false
|
||||
}
|
||||
]
|
||||
}
|
||||
|
|
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|||
|
|
@ -7,6 +7,11 @@ to contributions, whether it be in the form of a new feature, improved infra, or
|
|||
To contribute to this project, please follow a ["fork and pull request"](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) workflow.
|
||||
Please do not try to push directly to this repo unless you are a maintainer.
|
||||
|
||||
The branch structure is as follows:
|
||||
|
||||
- `main`: The stable version of Langflow
|
||||
- `dev`: The development version of Langflow. This branch is used to test new features before they are merged into `main` and, as such, may be unstable.
|
||||
|
||||
## 🗺️Contributing Guidelines
|
||||
|
||||
## 🚩GitHub Issues
|
||||
|
|
|
|||
|
|
@ -275,6 +275,8 @@ flow("Hey, have you heard of Langflow?")
|
|||
|
||||
We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible.
|
||||
|
||||
---
|
||||
|
||||
Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions and showcase your projects! 🦾
|
||||
|
||||
<p>
|
||||
|
|
|
|||
|
|
@ -43,7 +43,7 @@ This guide takes you through the process of augmenting the "Basic Chat with Prom
|
|||
|
||||
8. Connect this loader to the `{context}` variable that we just added.
|
||||
|
||||
9. In the "Web Page" field, enter "https://langflow.org/how-upload-examples".
|
||||
9. In the "Web Page" field, enter "https://docs.langflow.org/how-upload-examples".
|
||||
|
||||
10. Now, click on "ConversationBufferMemory".
|
||||
|
||||
|
|
|
|||
2
docs/static/CNAME
vendored
2
docs/static/CNAME
vendored
|
|
@ -1 +1 @@
|
|||
langflow.org
|
||||
docs.langflow.org
|
||||
615
poetry.lock
generated
615
poetry.lock
generated
|
|
@ -144,6 +144,25 @@ files = [
|
|||
{file = "aiostream-0.4.5.tar.gz", hash = "sha256:3ecbf87085230fbcd9605c32ca20c4fb41af02c71d076eab246ea22e35947d88"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "alembic"
|
||||
version = "1.11.2"
|
||||
description = "A database migration tool for SQLAlchemy."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "alembic-1.11.2-py3-none-any.whl", hash = "sha256:7981ab0c4fad4fe1be0cf183aae17689fe394ff874fd2464adb774396faf0796"},
|
||||
{file = "alembic-1.11.2.tar.gz", hash = "sha256:678f662130dc540dac12de0ea73de9f89caea9dbea138f60ef6263149bf84657"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
Mako = "*"
|
||||
SQLAlchemy = ">=1.3.0"
|
||||
typing-extensions = ">=4"
|
||||
|
||||
[package.extras]
|
||||
tz = ["python-dateutil"]
|
||||
|
||||
[[package]]
|
||||
name = "anthropic"
|
||||
version = "0.3.8"
|
||||
|
|
@ -925,13 +944,13 @@ test-randomorder = ["pytest-randomly"]
|
|||
|
||||
[[package]]
|
||||
name = "ctransformers"
|
||||
version = "0.2.18"
|
||||
version = "0.2.21"
|
||||
description = "Python bindings for the Transformer models implemented in C/C++ using GGML library."
|
||||
optional = true
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "ctransformers-0.2.18-py3-none-any.whl", hash = "sha256:6d693e269d797f2485c86c9e8a322acb1464e782bf22547ec57e09d4ccbb4523"},
|
||||
{file = "ctransformers-0.2.18.tar.gz", hash = "sha256:fc09c399baf16d99dd44aa6671d49aa4060d8904324c2527aa58e8831476c370"},
|
||||
{file = "ctransformers-0.2.21-py3-none-any.whl", hash = "sha256:18a0555d02f55a3935f5544b885038562f80e497a6197d8e871941a087dba546"},
|
||||
{file = "ctransformers-0.2.21.tar.gz", hash = "sha256:58e7a699050a106688b967faa59f377886e22a581fde6cd36821dfa541995677"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -939,6 +958,7 @@ huggingface-hub = "*"
|
|||
py-cpuinfo = ">=9.0.0,<10.0.0"
|
||||
|
||||
[package.extras]
|
||||
cuda = ["nvidia-cublas-cu12", "nvidia-cuda-runtime-cu12"]
|
||||
gptq = ["exllama (==0.1.0)"]
|
||||
tests = ["pytest"]
|
||||
|
||||
|
|
@ -1584,13 +1604,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
|
|||
|
||||
[[package]]
|
||||
name = "google-api-python-client"
|
||||
version = "2.95.0"
|
||||
version = "2.96.0"
|
||||
description = "Google API Client Library for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google-api-python-client-2.95.0.tar.gz", hash = "sha256:d2731ede12f79e53fbe11fdb913dfe986440b44c0a28431c78a8ec275f4c1541"},
|
||||
{file = "google_api_python_client-2.95.0-py2.py3-none-any.whl", hash = "sha256:a8aab2da678f42a01f2f52108f787fef4310f23f9dd917c4e64664c3f0c885ba"},
|
||||
{file = "google-api-python-client-2.96.0.tar.gz", hash = "sha256:f712373d03d338af57b9f5fe98c91f4b5baaa8765469b015bc623c4681c5bd51"},
|
||||
{file = "google_api_python_client-2.96.0-py2.py3-none-any.whl", hash = "sha256:38c2b61b10d15bb41ec8f89303e3837ec2d2c3e4e38de5800c05ee322492f937"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2433,13 +2453,13 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
|
|||
|
||||
[[package]]
|
||||
name = "importlib-resources"
|
||||
version = "6.0.0"
|
||||
version = "6.0.1"
|
||||
description = "Read resources from Python packages"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "importlib_resources-6.0.0-py3-none-any.whl", hash = "sha256:d952faee11004c045f785bb5636e8f885bed30dc3c940d5d42798a2a4541c185"},
|
||||
{file = "importlib_resources-6.0.0.tar.gz", hash = "sha256:4cf94875a8368bd89531a756df9a9ebe1f150e0f885030b461237bc7f2d905f2"},
|
||||
{file = "importlib_resources-6.0.1-py3-none-any.whl", hash = "sha256:134832a506243891221b88b4ae1213327eea96ceb4e407a00d790bb0626f45cf"},
|
||||
{file = "importlib_resources-6.0.1.tar.gz", hash = "sha256:4359457e42708462b9626a04657c6208ad799ceb41e5c58c57ffa0e6a098a5d4"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2473,13 +2493,13 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "ipykernel"
|
||||
version = "6.25.0"
|
||||
version = "6.25.1"
|
||||
description = "IPython Kernel for Jupyter"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "ipykernel-6.25.0-py3-none-any.whl", hash = "sha256:f0042e867ac3f6bca1679e6a88cbd6a58ed93a44f9d0866aecde6efe8de76659"},
|
||||
{file = "ipykernel-6.25.0.tar.gz", hash = "sha256:e342ce84712861be4b248c4a73472be4702c1b0dd77448bfd6bcfb3af9d5ddf9"},
|
||||
{file = "ipykernel-6.25.1-py3-none-any.whl", hash = "sha256:c8a2430b357073b37c76c21c52184db42f6b4b0e438e1eb7df3c4440d120497c"},
|
||||
{file = "ipykernel-6.25.1.tar.gz", hash = "sha256:050391364c0977e768e354bdb60cbbfbee7cbb943b1af1618382021136ffd42f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2855,13 +2875,13 @@ testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)",
|
|||
|
||||
[[package]]
|
||||
name = "langchain"
|
||||
version = "0.0.250"
|
||||
version = "0.0.256"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langchain-0.0.250-py3-none-any.whl", hash = "sha256:65b3520f507e848edd88a35a70700971bbbf822fda65f621ccf44a3bb36ad03a"},
|
||||
{file = "langchain-0.0.250.tar.gz", hash = "sha256:1b5775d6a472f633bb06e794f58cb6ff5d1eeb2da603b64a6a15013f8f61ee3f"},
|
||||
{file = "langchain-0.0.256-py3-none-any.whl", hash = "sha256:3389fcb85d8d4fb16bae5ca9995d3ce634a3330f8ac1f458afc6171e4ca52de5"},
|
||||
{file = "langchain-0.0.256.tar.gz", hash = "sha256:b80115e19f86199c49bca8ef18c09d2d87548332a0144a1c5ce6a2f82e4f5f9c"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2873,7 +2893,7 @@ numexpr = ">=2.8.4,<3.0.0"
|
|||
numpy = ">=1,<2"
|
||||
openapi-schema-pydantic = ">=1.2,<2.0"
|
||||
pydantic = ">=1,<2"
|
||||
PyYAML = ">=5.4.1"
|
||||
PyYAML = ">=5.3"
|
||||
requests = ">=2,<3"
|
||||
SQLAlchemy = ">=1.4,<3"
|
||||
tenacity = ">=8.1.0,<9.0.0"
|
||||
|
|
@ -2885,7 +2905,7 @@ clarifai = ["clarifai (>=9.1.0)"]
|
|||
cohere = ["cohere (>=4,<5)"]
|
||||
docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
|
||||
embeddings = ["sentence-transformers (>=2,<3)"]
|
||||
extended-testing = ["atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.0.7,<0.0.8)", "chardet (>=5.1.0,<6.0.0)", "esprima (>=4.0.1,<5.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lxml (>=4.9.2,<5.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "openai (>=0,<1)", "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)", "requests-toolbelt (>=1.0.0,<2.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tqdm (>=4.48.0)", "xinference (>=0.0.6,<0.0.7)", "zep-python (>=0.32)"]
|
||||
extended-testing = ["amazon-textract-caller (<2)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.0.7,<0.0.8)", "chardet (>=5.1.0,<6.0.0)", "esprima (>=4.0.1,<5.0.0)", "feedparser (>=6.0.10,<7.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lxml (>=4.9.2,<5.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "openai (>=0,<1)", "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)", "requests-toolbelt (>=1.0.0,<2.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tqdm (>=4.48.0)", "xata (>=1.0.0a7,<2.0.0)", "xinference (>=0.0.6,<0.0.7)", "zep-python (>=0.32)"]
|
||||
javascript = ["esprima (>=4.0.1,<5.0.0)"]
|
||||
llms = ["anthropic (>=0.3,<0.4)", "clarifai (>=9.1.0)", "cohere (>=4,<5)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (>=0,<1)", "openllm (>=0.1.19)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)", "xinference (>=0.0.6,<0.0.7)"]
|
||||
openai = ["openai (>=0,<1)", "tiktoken (>=0.3.2,<0.4.0)"]
|
||||
|
|
@ -2908,17 +2928,17 @@ langchain = ">=0.0.239"
|
|||
|
||||
[[package]]
|
||||
name = "langchain-serve"
|
||||
version = "0.0.58"
|
||||
version = "0.0.59"
|
||||
description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
|
||||
optional = true
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "langchain-serve-0.0.58.tar.gz", hash = "sha256:9ec65c8eeda9f777fb8b79117d92839873b10030fd832184ba891d4d3a065fff"},
|
||||
{file = "langchain-serve-0.0.59.tar.gz", hash = "sha256:28ff4ba1b640223158413296ac5b9198eac7cbd206d3386855ad00066a9f91d6"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
click = "*"
|
||||
jcloud = ">=0.2.13"
|
||||
jcloud = ">=0.2.16"
|
||||
jina = "3.15.2"
|
||||
jina-hubble-sdk = "*"
|
||||
langchain = "*"
|
||||
|
|
@ -2933,13 +2953,13 @@ test = ["psutil", "pytest", "pytest-asyncio"]
|
|||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.0.18"
|
||||
version = "0.0.19"
|
||||
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langsmith-0.0.18-py3-none-any.whl", hash = "sha256:58f3eb029495e3696c3c94c95adfb2dd15043d82928ef932a7829fe020ad5522"},
|
||||
{file = "langsmith-0.0.18.tar.gz", hash = "sha256:d8d97542f99352c5470bff74a4fbc9bd322dea850217a8ab71badcefa041566b"},
|
||||
{file = "langsmith-0.0.19-py3-none-any.whl", hash = "sha256:ae240030fd0b98e9467fbf19ac6d58a0a4ffcc1db8462625141dae6178e62c68"},
|
||||
{file = "langsmith-0.0.19.tar.gz", hash = "sha256:e91a2cd101456e2f8d6015c9ea371d6556eb6072a1b20d4793479855163ae28f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3147,6 +3167,25 @@ docs = ["sphinx (>=1.6.0)", "sphinx-bootstrap-theme"]
|
|||
flake8 = ["flake8"]
|
||||
tests = ["psutil", "pytest (!=3.3.0)", "pytest-cov"]
|
||||
|
||||
[[package]]
|
||||
name = "mako"
|
||||
version = "1.2.4"
|
||||
description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "Mako-1.2.4-py3-none-any.whl", hash = "sha256:c97c79c018b9165ac9922ae4f32da095ffd3c4e6872b45eded42926deea46818"},
|
||||
{file = "Mako-1.2.4.tar.gz", hash = "sha256:d60a3903dc3bb01a18ad6a89cdbe2e4eadc69c0bc8ef1e3773ba53d44c3f7a34"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
MarkupSafe = ">=0.9.2"
|
||||
|
||||
[package.extras]
|
||||
babel = ["Babel"]
|
||||
lingua = ["lingua"]
|
||||
testing = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "markdown"
|
||||
version = "3.4.4"
|
||||
|
|
@ -3195,7 +3234,7 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
|
|||
name = "markupsafe"
|
||||
version = "2.1.3"
|
||||
description = "Safely add untrusted strings to HTML/XML markup."
|
||||
optional = true
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
|
||||
|
|
@ -3594,41 +3633,41 @@ twitter = ["twython"]
|
|||
|
||||
[[package]]
|
||||
name = "numexpr"
|
||||
version = "2.8.4"
|
||||
version = "2.8.5"
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||||
description = "Fast numerical expression evaluator for NumPy"
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||||
optional = false
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||||
python-versions = ">=3.7"
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files = [
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||||
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||||
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||||
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||||
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|
||||
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|
||||
{file = "numexpr-2.8.5.tar.gz", hash = "sha256:45ed41e55a0abcecf3d711481e12a5fb7a904fe99d42bc282a17cc5f8ea510be"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -4035,68 +4074,78 @@ files = [
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|||
|
||||
[[package]]
|
||||
name = "orjson"
|
||||
version = "3.9.2"
|
||||
version = "3.9.3"
|
||||
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
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||||
optional = false
|
||||
python-versions = ">=3.7"
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||||
files = [
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||||
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|
||||
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|
||||
version = "7.4.0"
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||||
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|
||||
optional = false
|
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||||
[[package]]
|
||||
|
|
@ -4575,13 +4624,13 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
|
|||
|
||||
[[package]]
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||||
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|
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[package.dependencies]
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@ -4589,145 +4638,143 @@ typing-extensions = ">=4.1"
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||||
[[package]]
|
||||
|
|
@ -4940,13 +4987,13 @@ email = ["email-validator (>=1.0.3)"]
|
|||
|
||||
[[package]]
|
||||
name = "pygments"
|
||||
version = "2.15.1"
|
||||
version = "2.16.1"
|
||||
description = "Pygments is a syntax highlighting package written in Python."
|
||||
optional = false
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python-versions = ">=3.7"
|
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files = [
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]
|
||||
|
||||
[package.extras]
|
||||
|
|
@ -5073,23 +5120,23 @@ diagrams = ["jinja2", "railroad-diagrams"]
|
|||
|
||||
[[package]]
|
||||
name = "pypdf"
|
||||
version = "3.14.0"
|
||||
version = "3.15.0"
|
||||
description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
|
||||
optional = false
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||||
|
||||
[package.dependencies]
|
||||
typing_extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
|
||||
|
||||
[package.extras]
|
||||
crypto = ["PyCryptodome"]
|
||||
crypto = ["PyCryptodome", "cryptography"]
|
||||
dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "pytest-socket", "wheel"]
|
||||
docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
|
||||
full = ["Pillow (>=8.0.0)", "PyCryptodome"]
|
||||
full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
|
||||
image = ["Pillow (>=8.0.0)"]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -5755,59 +5802,49 @@ files = [
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|||
|
||||
[[package]]
|
||||
name = "safetensors"
|
||||
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|
||||
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|
||||
description = "Fast and Safe Tensor serialization"
|
||||
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|
||||
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|
|
@ -6653,20 +6690,20 @@ files = [
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[[package]]
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[package.dependencies]
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||||
|
||||
[package.extras]
|
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dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
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notebook = ["ipywidgets (>=6)"]
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slack = ["slack-sdk"]
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telegram = ["requests"]
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|
|
@ -7261,13 +7298,13 @@ files = [
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|||
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|
||||
{file = "wheel-0.41.0.tar.gz", hash = "sha256:55a0f0a5a84869bce5ba775abfd9c462e3a6b1b7b7ec69d72c0b83d673a5114d"},
|
||||
{file = "wheel-0.41.1-py3-none-any.whl", hash = "sha256:473219bd4cbedc62cea0cb309089b593e47c15c4a2531015f94e4e3b9a0f6981"},
|
||||
{file = "wheel-0.41.1.tar.gz", hash = "sha256:12b911f083e876e10c595779709f8a88a59f45aacc646492a67fe9ef796c1b47"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
|
|
@ -7580,4 +7617,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<3.11"
|
||||
content-hash = "57abce2ebcdc3cd7e359c36805822b9398d3bfb500c175b173a6d784d1276df6"
|
||||
content-hash = "7c6d7dc33a9b0ae9da053fb78b9f2eabbe78df38c4763e5a8719df6249d6f657"
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
[tool.poetry]
|
||||
name = "langflow"
|
||||
version = "0.4.1"
|
||||
version = "0.4.3"
|
||||
description = "A Python package with a built-in web application"
|
||||
authors = ["Logspace <contact@logspace.ai>"]
|
||||
maintainers = [
|
||||
|
|
@ -19,7 +19,7 @@ readme = "README.md"
|
|||
keywords = ["nlp", "langchain", "openai", "gpt", "gui"]
|
||||
packages = [{ include = "langflow", from = "src/backend" }]
|
||||
include = ["src/backend/langflow/*", "src/backend/langflow/**/*"]
|
||||
|
||||
documentation = "https://docs.langflow.org"
|
||||
|
||||
[tool.poetry.scripts]
|
||||
langflow = "langflow.__main__:main"
|
||||
|
|
@ -33,7 +33,7 @@ google-search-results = "^2.4.1"
|
|||
google-api-python-client = "^2.79.0"
|
||||
typer = "^0.9.0"
|
||||
gunicorn = "^21.1.0"
|
||||
langchain = "^0.0.250"
|
||||
langchain = "^0.0.256"
|
||||
openai = "^0.27.8"
|
||||
pandas = "^2.0.0"
|
||||
chromadb = "^0.3.21"
|
||||
|
|
@ -63,7 +63,7 @@ python-multipart = "^0.0.6"
|
|||
sqlmodel = "^0.0.8"
|
||||
faiss-cpu = "^1.7.4"
|
||||
anthropic = "^0.3.0"
|
||||
orjson = "^3.9.1"
|
||||
orjson = "3.9.3"
|
||||
multiprocess = "^0.70.14"
|
||||
cachetools = "^5.3.1"
|
||||
types-cachetools = "^5.3.0.5"
|
||||
|
|
@ -77,6 +77,7 @@ psycopg = "^3.1.9"
|
|||
psycopg-binary = "^3.1.9"
|
||||
fastavro = "^1.8.0"
|
||||
langchain-experimental = "^0.0.8"
|
||||
alembic = "^1.11.2"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
black = "^23.1.0"
|
||||
|
|
|
|||
|
|
@ -1,5 +1,7 @@
|
|||
from importlib import metadata
|
||||
from langflow.cache import cache_manager
|
||||
|
||||
# Deactivate cache manager for now
|
||||
# from langflow.services.cache import cache_manager
|
||||
from langflow.processing.process import load_flow_from_json
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
|
|
|||
|
|
@ -1,6 +1,7 @@
|
|||
import sys
|
||||
import time
|
||||
import httpx
|
||||
from langflow.services.utils import get_settings_manager
|
||||
from langflow.utils.util import get_number_of_workers
|
||||
from multiprocess import Process # type: ignore
|
||||
import platform
|
||||
|
|
@ -12,7 +13,6 @@ from rich import box
|
|||
from rich import print as rprint
|
||||
import typer
|
||||
from langflow.main import setup_app
|
||||
from langflow.settings import settings
|
||||
from langflow.utils.logger import configure, logger
|
||||
import webbrowser
|
||||
from dotenv import load_dotenv
|
||||
|
|
@ -30,19 +30,19 @@ def update_settings(
|
|||
"""Update the settings from a config file."""
|
||||
|
||||
# Check for database_url in the environment variables
|
||||
|
||||
settings_manager = get_settings_manager()
|
||||
if config:
|
||||
logger.debug(f"Loading settings from {config}")
|
||||
settings.update_from_yaml(config, dev=dev)
|
||||
settings_manager.settings.update_from_yaml(config, dev=dev)
|
||||
if remove_api_keys:
|
||||
logger.debug(f"Setting remove_api_keys to {remove_api_keys}")
|
||||
settings.update_settings(REMOVE_API_KEYS=remove_api_keys)
|
||||
settings_manager.settings.update_settings(REMOVE_API_KEYS=remove_api_keys)
|
||||
if cache:
|
||||
logger.debug(f"Setting cache to {cache}")
|
||||
settings.update_settings(CACHE=cache)
|
||||
settings_manager.settings.update_settings(CACHE=cache)
|
||||
if components_path:
|
||||
logger.debug(f"Adding component path {components_path}")
|
||||
settings.update_settings(COMPONENTS_PATH=components_path)
|
||||
settings_manager.settings.update_settings(COMPONENTS_PATH=components_path)
|
||||
|
||||
|
||||
def serve_on_jcloud():
|
||||
|
|
@ -106,7 +106,9 @@ def serve(
|
|||
help="Path to the directory containing custom components.",
|
||||
envvar="LANGFLOW_COMPONENTS_PATH",
|
||||
),
|
||||
config: str = typer.Option("config.yaml", help="Path to the configuration file."),
|
||||
config: str = typer.Option(
|
||||
Path(__file__).parent / "config.yaml", help="Path to the configuration file."
|
||||
),
|
||||
# .env file param
|
||||
env_file: Path = typer.Option(
|
||||
None, help="Path to the .env file containing environment variables."
|
||||
|
|
@ -146,6 +148,11 @@ def serve(
|
|||
help="Remove API keys from the projects saved in the database.",
|
||||
envvar="LANGFLOW_REMOVE_API_KEYS",
|
||||
),
|
||||
backend_only: bool = typer.Option(
|
||||
False,
|
||||
help="Run only the backend server without the frontend.",
|
||||
envvar="LANGFLOW_BACKEND_ONLY",
|
||||
),
|
||||
):
|
||||
"""
|
||||
Run the Langflow server.
|
||||
|
|
@ -167,7 +174,7 @@ def serve(
|
|||
)
|
||||
# create path object if path is provided
|
||||
static_files_dir: Optional[Path] = Path(path) if path else None
|
||||
app = setup_app(static_files_dir=static_files_dir)
|
||||
app = setup_app(static_files_dir=static_files_dir, backend_only=backend_only)
|
||||
# check if port is being used
|
||||
if is_port_in_use(port, host):
|
||||
port = get_free_port(port)
|
||||
|
|
@ -179,6 +186,10 @@ def serve(
|
|||
"timeout": timeout,
|
||||
}
|
||||
|
||||
# Define an env variable to know if we are just testing the server
|
||||
if "pytest" in sys.modules:
|
||||
return
|
||||
|
||||
if platform.system() in ["Windows"]:
|
||||
# Run using uvicorn on MacOS and Windows
|
||||
# Windows doesn't support gunicorn
|
||||
|
|
|
|||
113
src/backend/langflow/alembic.ini
Normal file
113
src/backend/langflow/alembic.ini
Normal file
|
|
@ -0,0 +1,113 @@
|
|||
# A generic, single database configuration.
|
||||
|
||||
[alembic]
|
||||
# path to migration scripts
|
||||
script_location = alembic
|
||||
|
||||
# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
|
||||
# Uncomment the line below if you want the files to be prepended with date and time
|
||||
# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
|
||||
# for all available tokens
|
||||
# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
|
||||
|
||||
# sys.path path, will be prepended to sys.path if present.
|
||||
# defaults to the current working directory.
|
||||
prepend_sys_path = .
|
||||
|
||||
# timezone to use when rendering the date within the migration file
|
||||
# as well as the filename.
|
||||
# If specified, requires the python-dateutil library that can be
|
||||
# installed by adding `alembic[tz]` to the pip requirements
|
||||
# string value is passed to dateutil.tz.gettz()
|
||||
# leave blank for localtime
|
||||
# timezone =
|
||||
|
||||
# max length of characters to apply to the
|
||||
# "slug" field
|
||||
# truncate_slug_length = 40
|
||||
|
||||
# set to 'true' to run the environment during
|
||||
# the 'revision' command, regardless of autogenerate
|
||||
# revision_environment = false
|
||||
|
||||
# set to 'true' to allow .pyc and .pyo files without
|
||||
# a source .py file to be detected as revisions in the
|
||||
# versions/ directory
|
||||
# sourceless = false
|
||||
|
||||
# version location specification; This defaults
|
||||
# to alembic/versions. When using multiple version
|
||||
# directories, initial revisions must be specified with --version-path.
|
||||
# The path separator used here should be the separator specified by "version_path_separator" below.
|
||||
# version_locations = %(here)s/bar:%(here)s/bat:alembic/versions
|
||||
|
||||
# version path separator; As mentioned above, this is the character used to split
|
||||
# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep.
|
||||
# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas.
|
||||
# Valid values for version_path_separator are:
|
||||
#
|
||||
# version_path_separator = :
|
||||
# version_path_separator = ;
|
||||
# version_path_separator = space
|
||||
version_path_separator = os # Use os.pathsep. Default configuration used for new projects.
|
||||
|
||||
# set to 'true' to search source files recursively
|
||||
# in each "version_locations" directory
|
||||
# new in Alembic version 1.10
|
||||
# recursive_version_locations = false
|
||||
|
||||
# the output encoding used when revision files
|
||||
# are written from script.py.mako
|
||||
# output_encoding = utf-8
|
||||
|
||||
# This is the path to the db in the root of the project.
|
||||
# When the user runs the Langflow the database url will
|
||||
# be set dinamically.
|
||||
sqlalchemy.url = sqlite:///../../../langflow.db
|
||||
|
||||
|
||||
[post_write_hooks]
|
||||
# post_write_hooks defines scripts or Python functions that are run
|
||||
# on newly generated revision scripts. See the documentation for further
|
||||
# detail and examples
|
||||
|
||||
# format using "black" - use the console_scripts runner, against the "black" entrypoint
|
||||
# hooks = black
|
||||
# black.type = console_scripts
|
||||
# black.entrypoint = black
|
||||
# black.options = -l 79 REVISION_SCRIPT_FILENAME
|
||||
|
||||
# Logging configuration
|
||||
[loggers]
|
||||
keys = root,sqlalchemy,alembic
|
||||
|
||||
[handlers]
|
||||
keys = console
|
||||
|
||||
[formatters]
|
||||
keys = generic
|
||||
|
||||
[logger_root]
|
||||
level = WARN
|
||||
handlers = console
|
||||
qualname =
|
||||
|
||||
[logger_sqlalchemy]
|
||||
level = WARN
|
||||
handlers =
|
||||
qualname = sqlalchemy.engine
|
||||
|
||||
[logger_alembic]
|
||||
level = INFO
|
||||
handlers =
|
||||
qualname = alembic
|
||||
|
||||
[handler_console]
|
||||
class = StreamHandler
|
||||
args = (sys.stderr,)
|
||||
level = NOTSET
|
||||
formatter = generic
|
||||
|
||||
[formatter_generic]
|
||||
format = %(levelname)-5.5s [%(name)s] %(message)s
|
||||
datefmt = %H:%M:%S
|
||||
1
src/backend/langflow/alembic/README
Normal file
1
src/backend/langflow/alembic/README
Normal file
|
|
@ -0,0 +1 @@
|
|||
Generic single-database configuration.
|
||||
78
src/backend/langflow/alembic/env.py
Normal file
78
src/backend/langflow/alembic/env.py
Normal file
|
|
@ -0,0 +1,78 @@
|
|||
from logging.config import fileConfig
|
||||
|
||||
from sqlalchemy import engine_from_config
|
||||
from sqlalchemy import pool
|
||||
|
||||
from alembic import context
|
||||
|
||||
from langflow.services.database.manager import SQLModel
|
||||
|
||||
# this is the Alembic Config object, which provides
|
||||
# access to the values within the .ini file in use.
|
||||
config = context.config
|
||||
|
||||
# Interpret the config file for Python logging.
|
||||
# This line sets up loggers basically.
|
||||
if config.config_file_name is not None:
|
||||
fileConfig(config.config_file_name)
|
||||
|
||||
# add your model's MetaData object here
|
||||
# for 'autogenerate' support
|
||||
# from myapp import mymodel
|
||||
# target_metadata = mymodel.Base.metadata
|
||||
target_metadata = SQLModel.metadata
|
||||
|
||||
# other values from the config, defined by the needs of env.py,
|
||||
# can be acquired:
|
||||
# my_important_option = config.get_main_option("my_important_option")
|
||||
# ... etc.
|
||||
|
||||
|
||||
def run_migrations_offline() -> None:
|
||||
"""Run migrations in 'offline' mode.
|
||||
|
||||
This configures the context with just a URL
|
||||
and not an Engine, though an Engine is acceptable
|
||||
here as well. By skipping the Engine creation
|
||||
we don't even need a DBAPI to be available.
|
||||
|
||||
Calls to context.execute() here emit the given string to the
|
||||
script output.
|
||||
|
||||
"""
|
||||
url = config.get_main_option("sqlalchemy.url")
|
||||
context.configure(
|
||||
url=url,
|
||||
target_metadata=target_metadata,
|
||||
literal_binds=True,
|
||||
dialect_opts={"paramstyle": "named"},
|
||||
)
|
||||
|
||||
with context.begin_transaction():
|
||||
context.run_migrations()
|
||||
|
||||
|
||||
def run_migrations_online() -> None:
|
||||
"""Run migrations in 'online' mode.
|
||||
|
||||
In this scenario we need to create an Engine
|
||||
and associate a connection with the context.
|
||||
|
||||
"""
|
||||
connectable = engine_from_config(
|
||||
config.get_section(config.config_ini_section, {}),
|
||||
prefix="sqlalchemy.",
|
||||
poolclass=pool.NullPool,
|
||||
)
|
||||
|
||||
with connectable.connect() as connection:
|
||||
context.configure(connection=connection, target_metadata=target_metadata)
|
||||
|
||||
with context.begin_transaction():
|
||||
context.run_migrations()
|
||||
|
||||
|
||||
if context.is_offline_mode():
|
||||
run_migrations_offline()
|
||||
else:
|
||||
run_migrations_online()
|
||||
27
src/backend/langflow/alembic/script.py.mako
Normal file
27
src/backend/langflow/alembic/script.py.mako
Normal file
|
|
@ -0,0 +1,27 @@
|
|||
"""${message}
|
||||
|
||||
Revision ID: ${up_revision}
|
||||
Revises: ${down_revision | comma,n}
|
||||
Create Date: ${create_date}
|
||||
|
||||
"""
|
||||
from typing import Sequence, Union
|
||||
|
||||
from alembic import op
|
||||
import sqlalchemy as sa
|
||||
import sqlmodel
|
||||
${imports if imports else ""}
|
||||
|
||||
# revision identifiers, used by Alembic.
|
||||
revision: str = ${repr(up_revision)}
|
||||
down_revision: Union[str, None] = ${repr(down_revision)}
|
||||
branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
|
||||
depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
|
||||
|
||||
|
||||
def upgrade() -> None:
|
||||
${upgrades if upgrades else "pass"}
|
||||
|
||||
|
||||
def downgrade() -> None:
|
||||
${downgrades if downgrades else "pass"}
|
||||
|
|
@ -0,0 +1,42 @@
|
|||
"""Remove FlowStyles table
|
||||
|
||||
Revision ID: 0a534bdfd84b
|
||||
Revises: 4814b6f4abfd
|
||||
Create Date: 2023-08-07 14:09:06.844104
|
||||
|
||||
"""
|
||||
from typing import Sequence, Union
|
||||
|
||||
from alembic import op
|
||||
import sqlalchemy as sa
|
||||
|
||||
|
||||
# revision identifiers, used by Alembic.
|
||||
revision: str = "0a534bdfd84b"
|
||||
down_revision: Union[str, None] = "4814b6f4abfd"
|
||||
branch_labels: Union[str, Sequence[str], None] = None
|
||||
depends_on: Union[str, Sequence[str], None] = None
|
||||
|
||||
|
||||
def upgrade() -> None:
|
||||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
op.drop_table("flowstyle")
|
||||
# ### end Alembic commands ###
|
||||
|
||||
|
||||
def downgrade() -> None:
|
||||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
op.create_table(
|
||||
"flowstyle",
|
||||
sa.Column("color", sa.VARCHAR(), nullable=False),
|
||||
sa.Column("emoji", sa.VARCHAR(), nullable=False),
|
||||
sa.Column("flow_id", sa.CHAR(length=32), nullable=True),
|
||||
sa.Column("id", sa.CHAR(length=32), nullable=False),
|
||||
sa.ForeignKeyConstraint(
|
||||
["flow_id"],
|
||||
["flow.id"],
|
||||
),
|
||||
sa.PrimaryKeyConstraint("id"),
|
||||
sa.UniqueConstraint("id"),
|
||||
)
|
||||
# ### end Alembic commands ###
|
||||
|
|
@ -0,0 +1,65 @@
|
|||
"""Add Flow table
|
||||
|
||||
Revision ID: 4814b6f4abfd
|
||||
Revises:
|
||||
Create Date: 2023-08-05 17:47:42.879824
|
||||
|
||||
"""
|
||||
|
||||
import contextlib
|
||||
from typing import Sequence, Union
|
||||
|
||||
from alembic import op
|
||||
import sqlalchemy as sa
|
||||
import sqlmodel
|
||||
|
||||
|
||||
# revision identifiers, used by Alembic.
|
||||
revision: str = "4814b6f4abfd"
|
||||
down_revision: Union[str, None] = None
|
||||
branch_labels: Union[str, Sequence[str], None] = None
|
||||
depends_on: Union[str, Sequence[str], None] = None
|
||||
|
||||
|
||||
def upgrade() -> None:
|
||||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
|
||||
# This suppress is used to not break the migration if the table already exists.
|
||||
with contextlib.suppress(sa.exc.OperationalError):
|
||||
op.create_table(
|
||||
"flow",
|
||||
sa.Column("data", sa.JSON(), nullable=True),
|
||||
sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
|
||||
sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
|
||||
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
|
||||
sa.PrimaryKeyConstraint("id"),
|
||||
sa.UniqueConstraint("id"),
|
||||
)
|
||||
op.create_index(
|
||||
op.f("ix_flow_description"), "flow", ["description"], unique=False
|
||||
)
|
||||
op.create_index(op.f("ix_flow_name"), "flow", ["name"], unique=False)
|
||||
with contextlib.suppress(sa.exc.OperationalError):
|
||||
op.create_table(
|
||||
"flowstyle",
|
||||
sa.Column("color", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
|
||||
sa.Column("emoji", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
|
||||
sa.Column("flow_id", sqlmodel.sql.sqltypes.GUID(), nullable=True),
|
||||
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
|
||||
sa.ForeignKeyConstraint(
|
||||
["flow_id"],
|
||||
["flow.id"],
|
||||
),
|
||||
sa.PrimaryKeyConstraint("id"),
|
||||
sa.UniqueConstraint("id"),
|
||||
)
|
||||
# ### end Alembic commands ###
|
||||
|
||||
|
||||
def downgrade() -> None:
|
||||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
op.drop_table("flowstyle")
|
||||
op.drop_index(op.f("ix_flow_name"), table_name="flow")
|
||||
op.drop_index(op.f("ix_flow_description"), table_name="flow")
|
||||
op.drop_table("flow")
|
||||
# ### end Alembic commands ###
|
||||
|
|
@ -5,7 +5,6 @@ from langflow.api.v1 import (
|
|||
endpoints_router,
|
||||
validate_router,
|
||||
flows_router,
|
||||
flow_styles_router,
|
||||
component_router,
|
||||
)
|
||||
|
||||
|
|
@ -17,4 +16,3 @@ router.include_router(endpoints_router)
|
|||
router.include_router(validate_router)
|
||||
router.include_router(component_router)
|
||||
router.include_router(flows_router)
|
||||
router.include_router(flow_styles_router)
|
||||
|
|
|
|||
|
|
@ -66,3 +66,30 @@ def merge_nested_dicts(dict1, dict2):
|
|||
else:
|
||||
dict1[key] = value
|
||||
return dict1
|
||||
|
||||
|
||||
def merge_nested_dicts_with_renaming(dict1, dict2):
|
||||
for key, value in dict2.items():
|
||||
if (
|
||||
key in dict1
|
||||
and isinstance(value, dict)
|
||||
and isinstance(dict1.get(key), dict)
|
||||
):
|
||||
for sub_key, sub_value in value.items():
|
||||
if sub_key in dict1[key]:
|
||||
new_key = get_new_key(dict1[key], sub_key)
|
||||
dict1[key][new_key] = sub_value
|
||||
else:
|
||||
dict1[key][sub_key] = sub_value
|
||||
else:
|
||||
dict1[key] = value
|
||||
return dict1
|
||||
|
||||
|
||||
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
|
||||
|
|
|
|||
|
|
@ -2,7 +2,6 @@ from langflow.api.v1.endpoints import router as endpoints_router
|
|||
from langflow.api.v1.validate import router as validate_router
|
||||
from langflow.api.v1.chat import router as chat_router
|
||||
from langflow.api.v1.flows import router as flows_router
|
||||
from langflow.api.v1.flow_styles import router as flow_styles_router
|
||||
from langflow.api.v1.components import router as component_router
|
||||
|
||||
__all__ = [
|
||||
|
|
@ -11,5 +10,4 @@ __all__ = [
|
|||
"component_router",
|
||||
"validate_router",
|
||||
"flows_router",
|
||||
"flow_styles_router",
|
||||
]
|
||||
|
|
|
|||
|
|
@ -3,13 +3,13 @@ from fastapi.responses import StreamingResponse
|
|||
from langflow.api.utils import build_input_keys_response
|
||||
from langflow.api.v1.schemas import BuildStatus, BuiltResponse, InitResponse, StreamData
|
||||
|
||||
from langflow.chat.manager import ChatManager
|
||||
from langflow.services import service_manager, ServiceType
|
||||
from langflow.graph.graph.base import Graph
|
||||
from langflow.utils.logger import logger
|
||||
from cachetools import LRUCache
|
||||
|
||||
router = APIRouter(tags=["Chat"])
|
||||
chat_manager = ChatManager()
|
||||
|
||||
flow_data_store: LRUCache = LRUCache(maxsize=10)
|
||||
|
||||
|
||||
|
|
@ -17,6 +17,7 @@ flow_data_store: LRUCache = LRUCache(maxsize=10)
|
|||
async def chat(client_id: str, websocket: WebSocket):
|
||||
"""Websocket endpoint for chat."""
|
||||
try:
|
||||
chat_manager = service_manager.get(ServiceType.CHAT_MANAGER)
|
||||
if client_id in chat_manager.in_memory_cache:
|
||||
await chat_manager.handle_websocket(client_id, websocket)
|
||||
else:
|
||||
|
|
@ -45,6 +46,7 @@ async def init_build(graph_data: dict, flow_id: str):
|
|||
return InitResponse(flowId=flow_id)
|
||||
|
||||
# Delete from cache if already exists
|
||||
chat_manager = service_manager.get(ServiceType.CHAT_MANAGER)
|
||||
if flow_id in chat_manager.in_memory_cache:
|
||||
with chat_manager.in_memory_cache._lock:
|
||||
chat_manager.in_memory_cache.delete(flow_id)
|
||||
|
|
@ -155,12 +157,12 @@ async def stream_build(flow_id: str):
|
|||
)
|
||||
else:
|
||||
input_keys_response = {
|
||||
"input_keys": {},
|
||||
"input_keys": None,
|
||||
"memory_keys": [],
|
||||
"handle_keys": [],
|
||||
}
|
||||
yield str(StreamData(event="message", data=input_keys_response))
|
||||
|
||||
chat_manager = service_manager.get(ServiceType.CHAT_MANAGER)
|
||||
chat_manager.set_cache(flow_id, langchain_object)
|
||||
# We need to reset the chat history
|
||||
chat_manager.chat_history.empty_history(flow_id)
|
||||
|
|
|
|||
|
|
@ -1,8 +1,8 @@
|
|||
from datetime import timezone
|
||||
from typing import List
|
||||
from uuid import UUID
|
||||
from langflow.database.models.component import Component, ComponentModel
|
||||
from langflow.database.base import get_session
|
||||
from langflow.services.database.models.component import Component, ComponentModel
|
||||
from langflow.services.utils import get_session
|
||||
from sqlmodel import Session, select
|
||||
from fastapi import APIRouter, Depends, HTTPException
|
||||
from sqlalchemy.exc import IntegrityError
|
||||
|
|
|
|||
|
|
@ -1,12 +1,11 @@
|
|||
from http import HTTPStatus
|
||||
from typing import Annotated, Optional
|
||||
|
||||
from langflow.cache.utils import save_uploaded_file
|
||||
from langflow.database.models.flow import Flow
|
||||
from langflow.services.cache.utils import save_uploaded_file
|
||||
from langflow.services.database.models.flow import Flow
|
||||
from langflow.processing.process import process_graph_cached, process_tweaks
|
||||
from langflow.services.utils import get_settings_manager
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.settings import settings
|
||||
|
||||
from fastapi import APIRouter, Depends, HTTPException, UploadFile, Body
|
||||
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
|
@ -18,7 +17,7 @@ from langflow.api.v1.schemas import (
|
|||
CustomComponentCode,
|
||||
)
|
||||
|
||||
from langflow.api.utils import merge_nested_dicts
|
||||
from langflow.api.utils import merge_nested_dicts_with_renaming
|
||||
|
||||
from langflow.interface.types import (
|
||||
build_langchain_types_dict,
|
||||
|
|
@ -26,7 +25,7 @@ from langflow.interface.types import (
|
|||
build_langchain_custom_component_list_from_path,
|
||||
)
|
||||
|
||||
from langflow.database.base import get_session
|
||||
from langflow.services.utils import get_session
|
||||
from sqlmodel import Session
|
||||
|
||||
# build router
|
||||
|
|
@ -40,20 +39,32 @@ def get_all():
|
|||
# custom_components is a list of dicts
|
||||
# need to merge all the keys into one dict
|
||||
custom_components_from_file = {}
|
||||
if settings.COMPONENTS_PATH:
|
||||
logger.info(f"Building custom components from {settings.COMPONENTS_PATH}")
|
||||
settings_manager = get_settings_manager()
|
||||
if settings_manager.settings.COMPONENTS_PATH:
|
||||
logger.info(
|
||||
f"Building custom components from {settings_manager.settings.COMPONENTS_PATH}"
|
||||
)
|
||||
custom_component_dicts = [
|
||||
build_langchain_custom_component_list_from_path(str(path))
|
||||
for path in settings.COMPONENTS_PATH
|
||||
for path in settings_manager.settings.COMPONENTS_PATH
|
||||
]
|
||||
logger.info(f"Loading {len(custom_component_dicts)} custom components")
|
||||
|
||||
logger.info(f"Loading {len(custom_component_dicts)} category(ies)")
|
||||
for custom_component_dict in custom_component_dicts:
|
||||
custom_components_from_file = merge_nested_dicts(
|
||||
# custom_component_dict is a dict of dicts
|
||||
if not custom_component_dict:
|
||||
continue
|
||||
category = list(custom_component_dict.keys())[0]
|
||||
logger.info(
|
||||
f"Loading {len(custom_component_dict[category])} component(s) from category {category}"
|
||||
)
|
||||
logger.debug(custom_component_dict)
|
||||
custom_components_from_file = merge_nested_dicts_with_renaming(
|
||||
custom_components_from_file, custom_component_dict
|
||||
)
|
||||
logger.info(f"Loaded {custom_component_dict}")
|
||||
return merge_nested_dicts(native_components, custom_components_from_file)
|
||||
|
||||
return merge_nested_dicts_with_renaming(
|
||||
native_components, custom_components_from_file
|
||||
)
|
||||
|
||||
|
||||
# For backwards compatibility we will keep the old endpoint
|
||||
|
|
|
|||
|
|
@ -1,83 +0,0 @@
|
|||
from uuid import UUID
|
||||
from langflow.database.models.flow_style import (
|
||||
FlowStyle,
|
||||
FlowStyleCreate,
|
||||
FlowStyleRead,
|
||||
FlowStyleUpdate,
|
||||
)
|
||||
from langflow.database.base import get_session
|
||||
from sqlmodel import Session, select
|
||||
from fastapi import APIRouter, Depends, HTTPException
|
||||
|
||||
|
||||
# build router
|
||||
router = APIRouter(prefix="/flow_styles", tags=["FlowStyles"])
|
||||
|
||||
# FlowStyleCreate:
|
||||
# class FlowStyleBase(SQLModel):
|
||||
# color: str = Field(index=True)
|
||||
# emoji: str = Field(index=False)
|
||||
# flow_id: UUID = Field(default=None, foreign_key="flow.id")
|
||||
|
||||
|
||||
@router.post("/", response_model=FlowStyleRead)
|
||||
def create_flow_style(
|
||||
*, session: Session = Depends(get_session), flow_style: FlowStyleCreate
|
||||
):
|
||||
"""Create a new flow_style."""
|
||||
db_flow_style = FlowStyle.from_orm(flow_style)
|
||||
session.add(db_flow_style)
|
||||
session.commit()
|
||||
session.refresh(db_flow_style)
|
||||
return db_flow_style
|
||||
|
||||
|
||||
@router.get("/", response_model=list[FlowStyleRead])
|
||||
def read_flow_styles(*, session: Session = Depends(get_session)):
|
||||
"""Read all flows."""
|
||||
try:
|
||||
flows = session.exec(select(FlowStyle)).all()
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e)) from e
|
||||
return flows
|
||||
|
||||
|
||||
@router.get("/{flow_styles_id}", response_model=FlowStyleRead)
|
||||
def read_flow_style(*, session: Session = Depends(get_session), flow_styles_id: UUID):
|
||||
"""Read a flow_style."""
|
||||
if flow_style := session.get(FlowStyle, flow_styles_id):
|
||||
return flow_style
|
||||
else:
|
||||
raise HTTPException(status_code=404, detail="FlowStyle not found")
|
||||
|
||||
|
||||
@router.patch("/{flow_style_id}", response_model=FlowStyleRead)
|
||||
def update_flow_style(
|
||||
*,
|
||||
session: Session = Depends(get_session),
|
||||
flow_style_id: UUID,
|
||||
flow_style: FlowStyleUpdate,
|
||||
):
|
||||
"""Update a flow_style."""
|
||||
db_flow_style = session.get(FlowStyle, flow_style_id)
|
||||
if not db_flow_style:
|
||||
raise HTTPException(status_code=404, detail="FlowStyle not found")
|
||||
flow_data = flow_style.dict(exclude_unset=True)
|
||||
for key, value in flow_data.items():
|
||||
if hasattr(db_flow_style, key) and value is not None:
|
||||
setattr(db_flow_style, key, value)
|
||||
session.add(db_flow_style)
|
||||
session.commit()
|
||||
session.refresh(db_flow_style)
|
||||
return db_flow_style
|
||||
|
||||
|
||||
@router.delete("/{flow_id}")
|
||||
def delete_flow_style(*, session: Session = Depends(get_session), flow_id: UUID):
|
||||
"""Delete a flow_style."""
|
||||
flow_style = session.get(FlowStyle, flow_id)
|
||||
if not flow_style:
|
||||
raise HTTPException(status_code=404, detail="FlowStyle not found")
|
||||
session.delete(flow_style)
|
||||
session.commit()
|
||||
return {"message": "FlowStyle deleted successfully"}
|
||||
|
|
@ -1,16 +1,15 @@
|
|||
from typing import List
|
||||
from uuid import UUID
|
||||
from langflow.settings import settings
|
||||
from langflow.api.utils import remove_api_keys
|
||||
from langflow.api.v1.schemas import FlowListCreate, FlowListRead
|
||||
from langflow.database.models.flow import (
|
||||
from langflow.services.database.models.flow import (
|
||||
Flow,
|
||||
FlowCreate,
|
||||
FlowRead,
|
||||
FlowReadWithStyle,
|
||||
FlowUpdate,
|
||||
)
|
||||
from langflow.database.base import get_session
|
||||
from langflow.services.utils import get_session
|
||||
from langflow.services.utils import get_settings_manager
|
||||
from sqlmodel import Session, select
|
||||
from fastapi import APIRouter, Depends, HTTPException
|
||||
from fastapi.encoders import jsonable_encoder
|
||||
|
|
@ -32,7 +31,7 @@ def create_flow(*, session: Session = Depends(get_session), flow: FlowCreate):
|
|||
return db_flow
|
||||
|
||||
|
||||
@router.get("/", response_model=list[FlowReadWithStyle], status_code=200)
|
||||
@router.get("/", response_model=list[FlowRead], status_code=200)
|
||||
def read_flows(*, session: Session = Depends(get_session)):
|
||||
"""Read all flows."""
|
||||
try:
|
||||
|
|
@ -42,7 +41,7 @@ def read_flows(*, session: Session = Depends(get_session)):
|
|||
return [jsonable_encoder(flow) for flow in flows]
|
||||
|
||||
|
||||
@router.get("/{flow_id}", response_model=FlowReadWithStyle, status_code=200)
|
||||
@router.get("/{flow_id}", response_model=FlowRead, status_code=200)
|
||||
def read_flow(*, session: Session = Depends(get_session), flow_id: UUID):
|
||||
"""Read a flow."""
|
||||
if flow := session.get(Flow, flow_id):
|
||||
|
|
@ -61,7 +60,8 @@ def update_flow(
|
|||
if not db_flow:
|
||||
raise HTTPException(status_code=404, detail="Flow not found")
|
||||
flow_data = flow.dict(exclude_unset=True)
|
||||
if settings.REMOVE_API_KEYS:
|
||||
settings_manager = get_settings_manager()
|
||||
if settings_manager.settings.REMOVE_API_KEYS:
|
||||
flow_data = remove_api_keys(flow_data)
|
||||
for key, value in flow_data.items():
|
||||
setattr(db_flow, key, value)
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
from enum import Enum
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List, Optional, Union
|
||||
from langflow.database.models.flow import FlowCreate, FlowRead
|
||||
from langflow.services.database.models.flow import FlowCreate, FlowRead
|
||||
from pydantic import BaseModel, Field, validator
|
||||
import json
|
||||
|
||||
|
|
|
|||
7
src/backend/langflow/cache/__init__.py
vendored
7
src/backend/langflow/cache/__init__.py
vendored
|
|
@ -1,7 +0,0 @@
|
|||
from langflow.cache.manager import cache_manager
|
||||
from langflow.cache.flow import InMemoryCache
|
||||
|
||||
__all__ = [
|
||||
"cache_manager",
|
||||
"InMemoryCache",
|
||||
]
|
||||
|
|
@ -1,78 +0,0 @@
|
|||
from contextlib import contextmanager
|
||||
import os
|
||||
|
||||
from sqlmodel import SQLModel, Session, create_engine
|
||||
from langflow.utils.logger import logger
|
||||
|
||||
|
||||
class Engine:
|
||||
_instance = None
|
||||
|
||||
@classmethod
|
||||
def get(cls):
|
||||
logger.debug("Getting database engine")
|
||||
if cls._instance is None:
|
||||
cls.create()
|
||||
return cls._instance
|
||||
|
||||
@classmethod
|
||||
def create(cls):
|
||||
logger.debug("Creating database engine")
|
||||
from langflow.settings import settings
|
||||
|
||||
if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"):
|
||||
settings.DATABASE_URL = langflow_database_url
|
||||
logger.debug("Using LANGFLOW_DATABASE_URL")
|
||||
|
||||
if settings.DATABASE_URL and settings.DATABASE_URL.startswith("sqlite"):
|
||||
connect_args = {"check_same_thread": False}
|
||||
else:
|
||||
connect_args = {}
|
||||
if not settings.DATABASE_URL:
|
||||
raise RuntimeError("No database_url provided")
|
||||
cls._instance = create_engine(settings.DATABASE_URL, connect_args=connect_args)
|
||||
|
||||
@classmethod
|
||||
def update(cls):
|
||||
logger.debug("Updating database engine")
|
||||
cls._instance = None
|
||||
cls.create()
|
||||
|
||||
|
||||
def create_db_and_tables():
|
||||
logger.debug("Creating database and tables")
|
||||
try:
|
||||
SQLModel.metadata.create_all(Engine.get())
|
||||
except Exception as exc:
|
||||
logger.error(f"Error creating database and tables: {exc}")
|
||||
raise RuntimeError("Error creating database and tables") from exc
|
||||
# Now check if the table Flow exists, if not, something went wrong
|
||||
# and we need to create the tables again.
|
||||
from sqlalchemy import inspect
|
||||
|
||||
inspector = inspect(Engine.get())
|
||||
if "flow" not in inspector.get_table_names():
|
||||
logger.error("Something went wrong creating the database and tables.")
|
||||
logger.error("Please check your database settings.")
|
||||
|
||||
raise RuntimeError("Something went wrong creating the database and tables.")
|
||||
else:
|
||||
logger.debug("Database and tables created successfully")
|
||||
|
||||
|
||||
@contextmanager
|
||||
def session_getter():
|
||||
try:
|
||||
session = Session(Engine.get())
|
||||
yield session
|
||||
except Exception as e:
|
||||
print("Session rollback because of exception:", e)
|
||||
session.rollback()
|
||||
raise
|
||||
finally:
|
||||
session.close()
|
||||
|
||||
|
||||
def get_session():
|
||||
with session_getter() as session:
|
||||
yield session
|
||||
|
|
@ -1,33 +0,0 @@
|
|||
# Path: src/backend/langflow/database/models/flowstyle.py
|
||||
|
||||
from langflow.database.models.base import SQLModelSerializable
|
||||
from sqlmodel import Field, Relationship
|
||||
from uuid import UUID, uuid4
|
||||
from typing import TYPE_CHECKING, Optional
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langflow.database.models.flow import Flow
|
||||
|
||||
|
||||
class FlowStyleBase(SQLModelSerializable):
|
||||
color: str
|
||||
emoji: str
|
||||
flow_id: UUID = Field(default=None, foreign_key="flow.id")
|
||||
|
||||
|
||||
class FlowStyle(FlowStyleBase, table=True):
|
||||
id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
|
||||
flow: "Flow" = Relationship(back_populates="style")
|
||||
|
||||
|
||||
class FlowStyleUpdate(SQLModelSerializable):
|
||||
color: Optional[str] = None
|
||||
emoji: Optional[str] = None
|
||||
|
||||
|
||||
class FlowStyleCreate(FlowStyleBase):
|
||||
pass
|
||||
|
||||
|
||||
class FlowStyleRead(FlowStyleBase):
|
||||
id: UUID
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
from typing import Dict, Generator, List, Type, Union
|
||||
|
||||
from langflow.graph.edge.base import Edge
|
||||
from langflow.graph.graph.constants import VERTEX_TYPE_MAP
|
||||
from langflow.graph.graph.constants import lazy_load_vertex_dict
|
||||
from langflow.graph.vertex.base import Vertex
|
||||
from langflow.graph.vertex.types import (
|
||||
FileToolVertex,
|
||||
|
|
@ -187,10 +187,12 @@ class Graph:
|
|||
"""Returns the node class based on the node type."""
|
||||
if node_type in FILE_TOOLS:
|
||||
return FileToolVertex
|
||||
if node_type in VERTEX_TYPE_MAP:
|
||||
return VERTEX_TYPE_MAP[node_type]
|
||||
if node_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
|
||||
return lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_type]
|
||||
return (
|
||||
VERTEX_TYPE_MAP[node_lc_type] if node_lc_type in VERTEX_TYPE_MAP else Vertex
|
||||
lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_lc_type]
|
||||
if node_lc_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP
|
||||
else Vertex
|
||||
)
|
||||
|
||||
def _build_vertices(self) -> List[Vertex]:
|
||||
|
|
|
|||
|
|
@ -1,4 +1,3 @@
|
|||
from langflow.graph.vertex.base import Vertex
|
||||
from langflow.graph.vertex import types
|
||||
from langflow.interface.agents.base import agent_creator
|
||||
from langflow.interface.chains.base import chain_creator
|
||||
|
|
@ -15,23 +14,45 @@ 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 typing import Dict, Type
|
||||
from langflow.utils.lazy_load import LazyLoadDictBase
|
||||
|
||||
|
||||
VERTEX_TYPE_MAP: Dict[str, Type[Vertex]] = {
|
||||
**{t: types.PromptVertex for t in prompt_creator.to_list()},
|
||||
**{t: types.AgentVertex for t in agent_creator.to_list()},
|
||||
**{t: types.ChainVertex for t in chain_creator.to_list()},
|
||||
**{t: types.ToolVertex for t in tool_creator.to_list()},
|
||||
**{t: types.ToolkitVertex for t in toolkits_creator.to_list()},
|
||||
**{t: types.WrapperVertex for t in wrapper_creator.to_list()},
|
||||
**{t: types.LLMVertex for t in llm_creator.to_list()},
|
||||
**{t: types.MemoryVertex for t in memory_creator.to_list()},
|
||||
**{t: types.EmbeddingVertex for t in embedding_creator.to_list()},
|
||||
**{t: types.VectorStoreVertex for t in vectorstore_creator.to_list()},
|
||||
**{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()},
|
||||
**{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()},
|
||||
**{t: types.OutputParserVertex for t in output_parser_creator.to_list()},
|
||||
**{t: types.CustomComponentVertex for t in custom_component_creator.to_list()},
|
||||
**{t: types.RetrieverVertex for t in retriever_creator.to_list()},
|
||||
}
|
||||
class VertexTypesDict(LazyLoadDictBase):
|
||||
def __init__(self):
|
||||
self._all_types_dict = None
|
||||
|
||||
@property
|
||||
def VERTEX_TYPE_MAP(self):
|
||||
return self.all_types_dict
|
||||
|
||||
def _build_dict(self):
|
||||
langchain_types_dict = self.get_type_dict()
|
||||
return {
|
||||
**langchain_types_dict,
|
||||
"Custom": ["Custom Tool", "Python Function"],
|
||||
}
|
||||
|
||||
def get_type_dict(self):
|
||||
return {
|
||||
**{t: types.PromptVertex for t in prompt_creator.to_list()},
|
||||
**{t: types.AgentVertex for t in agent_creator.to_list()},
|
||||
**{t: types.ChainVertex for t in chain_creator.to_list()},
|
||||
**{t: types.ToolVertex for t in tool_creator.to_list()},
|
||||
**{t: types.ToolkitVertex for t in toolkits_creator.to_list()},
|
||||
**{t: types.WrapperVertex for t in wrapper_creator.to_list()},
|
||||
**{t: types.LLMVertex for t in llm_creator.to_list()},
|
||||
**{t: types.MemoryVertex for t in memory_creator.to_list()},
|
||||
**{t: types.EmbeddingVertex for t in embedding_creator.to_list()},
|
||||
**{t: types.VectorStoreVertex for t in vectorstore_creator.to_list()},
|
||||
**{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()},
|
||||
**{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()},
|
||||
**{t: types.OutputParserVertex for t in output_parser_creator.to_list()},
|
||||
**{
|
||||
t: types.CustomComponentVertex
|
||||
for t in custom_component_creator.to_list()
|
||||
},
|
||||
**{t: types.RetrieverVertex for t in retriever_creator.to_list()},
|
||||
}
|
||||
|
||||
|
||||
lazy_load_vertex_dict = VertexTypesDict()
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
import ast
|
||||
from langflow.interface.initialize import loading
|
||||
from langflow.interface.listing import ALL_TYPES_DICT
|
||||
from langflow.interface.listing import lazy_load_dict
|
||||
from langflow.utils.constants import DIRECT_TYPES
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import sync_to_async
|
||||
|
|
@ -62,7 +62,7 @@ class Vertex:
|
|||
)
|
||||
|
||||
if self.base_type is None:
|
||||
for base_type, value in ALL_TYPES_DICT.items():
|
||||
for base_type, value in lazy_load_dict.ALL_TYPES_DICT.items():
|
||||
if self.vertex_type in value:
|
||||
self.base_type = base_type
|
||||
break
|
||||
|
|
|
|||
|
|
@ -5,7 +5,8 @@ from langchain.agents import types
|
|||
from langflow.custom.customs import get_custom_nodes
|
||||
from langflow.interface.agents.custom import CUSTOM_AGENTS
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.agents import AgentFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_class, build_template_from_method
|
||||
|
|
@ -53,13 +54,17 @@ class AgentCreator(LangChainTypeCreator):
|
|||
# Now this is a generator
|
||||
def to_list(self) -> List[str]:
|
||||
names = []
|
||||
settings_manager = get_settings_manager()
|
||||
for _, agent in self.type_to_loader_dict.items():
|
||||
agent_name = (
|
||||
agent.function_name()
|
||||
if hasattr(agent, "function_name")
|
||||
else agent.__name__
|
||||
)
|
||||
if agent_name in settings.AGENTS or settings.DEV:
|
||||
if (
|
||||
agent_name in settings_manager.settings.AGENTS
|
||||
or settings_manager.settings.DEV
|
||||
):
|
||||
names.append(agent_name)
|
||||
return names
|
||||
|
||||
|
|
|
|||
|
|
@ -2,13 +2,14 @@ from abc import ABC, abstractmethod
|
|||
from typing import Any, Dict, List, Optional, Type, Union
|
||||
from langchain.chains.base import Chain
|
||||
from langchain.agents import AgentExecutor
|
||||
from langflow.services.utils import get_settings_manager
|
||||
from pydantic import BaseModel
|
||||
|
||||
from langflow.template.field.base import TemplateField
|
||||
from langflow.template.frontend_node.base import FrontendNode
|
||||
from langflow.template.template.base import Template
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.settings import settings
|
||||
|
||||
|
||||
# Assuming necessary imports for Field, Template, and FrontendNode classes
|
||||
|
||||
|
|
@ -26,9 +27,12 @@ class LangChainTypeCreator(BaseModel, ABC):
|
|||
@property
|
||||
def docs_map(self) -> Dict[str, str]:
|
||||
"""A dict with the name of the component as key and the documentation link as value."""
|
||||
settings_manager = get_settings_manager()
|
||||
if self.name_docs_dict is None:
|
||||
try:
|
||||
type_settings = getattr(settings, self.type_name.upper())
|
||||
type_settings = getattr(
|
||||
settings_manager.settings, self.type_name.upper()
|
||||
)
|
||||
self.name_docs_dict = {
|
||||
name: value_dict["documentation"]
|
||||
for name, value_dict in type_settings.items()
|
||||
|
|
|
|||
|
|
@ -3,7 +3,8 @@ from typing import Any, Dict, List, Optional, Type
|
|||
from langflow.custom.customs import get_custom_nodes
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.importing.utils import import_class
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.chains import ChainFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_class, build_template_from_method
|
||||
|
|
@ -30,6 +31,7 @@ class ChainCreator(LangChainTypeCreator):
|
|||
@property
|
||||
def type_to_loader_dict(self) -> Dict:
|
||||
if self.type_dict is None:
|
||||
settings_manager = get_settings_manager()
|
||||
self.type_dict: dict[str, Any] = {
|
||||
chain_name: import_class(f"langchain.chains.{chain_name}")
|
||||
for chain_name in chains.__all__
|
||||
|
|
@ -43,7 +45,8 @@ class ChainCreator(LangChainTypeCreator):
|
|||
self.type_dict = {
|
||||
name: chain
|
||||
for name, chain in self.type_dict.items()
|
||||
if name in settings.CHAINS or settings.DEV
|
||||
if name in settings_manager.settings.CHAINS
|
||||
or settings_manager.settings.DEV
|
||||
}
|
||||
return self.type_dict
|
||||
|
||||
|
|
|
|||
|
|
@ -3,11 +3,12 @@ from fastapi import HTTPException
|
|||
from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES
|
||||
from langflow.interface.custom.component import Component
|
||||
from langflow.interface.custom.directory_reader import DirectoryReader
|
||||
from langflow.services.utils import get_db_manager
|
||||
|
||||
from langflow.utils import validate
|
||||
|
||||
from langflow.database.base import session_getter
|
||||
from langflow.database.models.flow import Flow
|
||||
from langflow.services.database.utils import session_getter
|
||||
from langflow.services.database.models.flow import Flow
|
||||
from pydantic import Extra
|
||||
import yaml
|
||||
|
||||
|
|
@ -159,7 +160,8 @@ class CustomComponent(Component, extra=Extra.allow):
|
|||
from langflow.processing.process import build_sorted_vertices_with_caching
|
||||
from langflow.processing.process import process_tweaks
|
||||
|
||||
with session_getter() as session:
|
||||
db_manager = get_db_manager()
|
||||
with session_getter(db_manager) as session:
|
||||
graph_data = flow.data if (flow := session.get(Flow, flow_id)) else None
|
||||
if not graph_data:
|
||||
raise ValueError(f"Flow {flow_id} not found")
|
||||
|
|
@ -169,7 +171,8 @@ class CustomComponent(Component, extra=Extra.allow):
|
|||
|
||||
def list_flows(self, *, get_session: Optional[Callable] = None) -> List[Flow]:
|
||||
get_session = get_session or session_getter
|
||||
with get_session() as session:
|
||||
db_manager = get_db_manager()
|
||||
with get_session(db_manager) as session:
|
||||
flows = session.query(Flow).all()
|
||||
return flows
|
||||
|
||||
|
|
@ -182,8 +185,8 @@ class CustomComponent(Component, extra=Extra.allow):
|
|||
get_session: Optional[Callable] = None,
|
||||
) -> Flow:
|
||||
get_session = get_session or session_getter
|
||||
|
||||
with get_session() as session:
|
||||
db_manager = get_db_manager()
|
||||
with get_session(db_manager) as session:
|
||||
if flow_id:
|
||||
flow = session.query(Flow).get(flow_id)
|
||||
elif flow_name:
|
||||
|
|
|
|||
|
|
@ -1,9 +1,10 @@
|
|||
from typing import Dict, List, Optional, Type
|
||||
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.services.utils import get_settings_manager
|
||||
from langflow.template.frontend_node.documentloaders import DocumentLoaderFrontNode
|
||||
from langflow.interface.custom_lists import documentloaders_type_to_cls_dict
|
||||
from langflow.settings import settings
|
||||
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_class
|
||||
|
||||
|
|
@ -30,10 +31,12 @@ class DocumentLoaderCreator(LangChainTypeCreator):
|
|||
return None
|
||||
|
||||
def to_list(self) -> List[str]:
|
||||
settings_manager = get_settings_manager()
|
||||
return [
|
||||
documentloader.__name__
|
||||
for documentloader in self.type_to_loader_dict.values()
|
||||
if documentloader.__name__ in settings.DOCUMENTLOADERS or settings.DEV
|
||||
if documentloader.__name__ in settings_manager.settings.DOCUMENTLOADERS
|
||||
or settings_manager.settings.DEV
|
||||
]
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -2,7 +2,8 @@ from typing import Dict, List, Optional, Type
|
|||
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.custom_lists import embedding_type_to_cls_dict
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.base import FrontendNode
|
||||
from langflow.template.frontend_node.embeddings import EmbeddingFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
|
|
@ -32,10 +33,12 @@ class EmbeddingCreator(LangChainTypeCreator):
|
|||
return None
|
||||
|
||||
def to_list(self) -> List[str]:
|
||||
settings_manager = get_settings_manager()
|
||||
return [
|
||||
embedding.__name__
|
||||
for embedding in self.type_to_loader_dict.values()
|
||||
if embedding.__name__ in settings.EMBEDDINGS or settings.DEV
|
||||
if embedding.__name__ in settings_manager.settings.EMBEDDINGS
|
||||
or settings_manager.settings.DEV
|
||||
]
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -170,6 +170,26 @@ def initialize_pinecone(class_object: Type[Pinecone], params: dict):
|
|||
|
||||
def initialize_chroma(class_object: Type[Chroma], params: dict):
|
||||
"""Initialize a ChromaDB object from the params"""
|
||||
if ( # type: ignore
|
||||
"chroma_server_host" in params or "chroma_server_http_port" in params
|
||||
):
|
||||
import chromadb # type: ignore
|
||||
|
||||
settings_params = {
|
||||
key: params[key]
|
||||
for key, value_ in params.items()
|
||||
if key.startswith("chroma_server_") and value_
|
||||
}
|
||||
chroma_settings = chromadb.config.Settings(**settings_params)
|
||||
params["client_settings"] = chroma_settings
|
||||
else:
|
||||
# remove all chroma_server_ keys from params
|
||||
params = {
|
||||
key: value
|
||||
for key, value in params.items()
|
||||
if not key.startswith("chroma_server_")
|
||||
}
|
||||
|
||||
persist = params.pop("persist", False)
|
||||
if not docs_in_params(params):
|
||||
params.pop("documents", None)
|
||||
|
|
|
|||
|
|
@ -14,34 +14,43 @@ 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
|
||||
|
||||
|
||||
def get_type_dict():
|
||||
return {
|
||||
"agents": agent_creator.to_list(),
|
||||
"prompts": prompt_creator.to_list(),
|
||||
"llms": llm_creator.to_list(),
|
||||
"tools": tool_creator.to_list(),
|
||||
"chains": chain_creator.to_list(),
|
||||
"memory": memory_creator.to_list(),
|
||||
"toolkits": toolkits_creator.to_list(),
|
||||
"wrappers": wrapper_creator.to_list(),
|
||||
"documentLoaders": documentloader_creator.to_list(),
|
||||
"vectorStore": vectorstore_creator.to_list(),
|
||||
"embeddings": embedding_creator.to_list(),
|
||||
"textSplitters": textsplitter_creator.to_list(),
|
||||
"utilities": utility_creator.to_list(),
|
||||
"outputParsers": output_parser_creator.to_list(),
|
||||
"retrievers": retriever_creator.to_list(),
|
||||
"custom_components": custom_component_creator.to_list(),
|
||||
}
|
||||
class AllTypesDict(LazyLoadDictBase):
|
||||
def __init__(self):
|
||||
self._all_types_dict = None
|
||||
|
||||
@property
|
||||
def ALL_TYPES_DICT(self):
|
||||
return self.all_types_dict
|
||||
|
||||
def _build_dict(self):
|
||||
langchain_types_dict = self.get_type_dict()
|
||||
return {
|
||||
**langchain_types_dict,
|
||||
"Custom": ["Custom Tool", "Python Function"],
|
||||
}
|
||||
|
||||
def get_type_dict(self):
|
||||
return {
|
||||
"agents": agent_creator.to_list(),
|
||||
"prompts": prompt_creator.to_list(),
|
||||
"llms": llm_creator.to_list(),
|
||||
"tools": tool_creator.to_list(),
|
||||
"chains": chain_creator.to_list(),
|
||||
"memory": memory_creator.to_list(),
|
||||
"toolkits": toolkits_creator.to_list(),
|
||||
"wrappers": wrapper_creator.to_list(),
|
||||
"documentLoaders": documentloader_creator.to_list(),
|
||||
"vectorStore": vectorstore_creator.to_list(),
|
||||
"embeddings": embedding_creator.to_list(),
|
||||
"textSplitters": textsplitter_creator.to_list(),
|
||||
"utilities": utility_creator.to_list(),
|
||||
"outputParsers": output_parser_creator.to_list(),
|
||||
"retrievers": retriever_creator.to_list(),
|
||||
"custom_components": custom_component_creator.to_list(),
|
||||
}
|
||||
|
||||
|
||||
LANGCHAIN_TYPES_DICT = get_type_dict()
|
||||
|
||||
# Now we'll build a dict with Langchain types and ours
|
||||
|
||||
ALL_TYPES_DICT = {
|
||||
**LANGCHAIN_TYPES_DICT,
|
||||
"Custom": ["Custom Tool", "Python Function"],
|
||||
}
|
||||
lazy_load_dict = AllTypesDict()
|
||||
|
|
|
|||
|
|
@ -2,7 +2,8 @@ from typing import Dict, List, Optional, Type
|
|||
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.custom_lists import llm_type_to_cls_dict
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.llms import LLMFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_class
|
||||
|
|
@ -33,10 +34,12 @@ class LLMCreator(LangChainTypeCreator):
|
|||
return None
|
||||
|
||||
def to_list(self) -> List[str]:
|
||||
settings_manager = get_settings_manager()
|
||||
return [
|
||||
llm.__name__
|
||||
for llm in self.type_to_loader_dict.values()
|
||||
if llm.__name__ in settings.LLMS or settings.DEV
|
||||
if llm.__name__ in settings_manager.settings.LLMS
|
||||
or settings_manager.settings.DEV
|
||||
]
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -2,7 +2,8 @@ from typing import Dict, List, Optional, Type
|
|||
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.custom_lists import memory_type_to_cls_dict
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.base import FrontendNode
|
||||
from langflow.template.frontend_node.memories import MemoryFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
|
|
@ -48,10 +49,12 @@ class MemoryCreator(LangChainTypeCreator):
|
|||
return None
|
||||
|
||||
def to_list(self) -> List[str]:
|
||||
settings_manager = get_settings_manager()
|
||||
return [
|
||||
memory.__name__
|
||||
for memory in self.type_to_loader_dict.values()
|
||||
if memory.__name__ in settings.MEMORIES or settings.DEV
|
||||
if memory.__name__ in settings_manager.settings.MEMORIES
|
||||
or settings_manager.settings.DEV
|
||||
]
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -4,7 +4,8 @@ from langchain import output_parsers
|
|||
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.importing.utils import import_class
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.output_parsers import OutputParserFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_class, build_template_from_method
|
||||
|
|
@ -23,6 +24,7 @@ class OutputParserCreator(LangChainTypeCreator):
|
|||
@property
|
||||
def type_to_loader_dict(self) -> Dict:
|
||||
if self.type_dict is None:
|
||||
settings_manager = get_settings_manager()
|
||||
self.type_dict = {
|
||||
output_parser_name: import_class(
|
||||
f"langchain.output_parsers.{output_parser_name}"
|
||||
|
|
@ -33,7 +35,8 @@ class OutputParserCreator(LangChainTypeCreator):
|
|||
self.type_dict = {
|
||||
name: output_parser
|
||||
for name, output_parser in self.type_dict.items()
|
||||
if name in settings.OUTPUT_PARSERS or settings.DEV
|
||||
if name in settings_manager.settings.OUTPUT_PARSERS
|
||||
or settings_manager.settings.DEV
|
||||
}
|
||||
return self.type_dict
|
||||
|
||||
|
|
|
|||
|
|
@ -5,7 +5,8 @@ from langchain import prompts
|
|||
from langflow.custom.customs import get_custom_nodes
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.importing.utils import import_class
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.prompts import PromptFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_class
|
||||
|
|
@ -20,6 +21,7 @@ class PromptCreator(LangChainTypeCreator):
|
|||
|
||||
@property
|
||||
def type_to_loader_dict(self) -> Dict:
|
||||
settings_manager = get_settings_manager()
|
||||
if self.type_dict is None:
|
||||
self.type_dict = {
|
||||
prompt_name: import_class(f"langchain.prompts.{prompt_name}")
|
||||
|
|
@ -34,7 +36,8 @@ class PromptCreator(LangChainTypeCreator):
|
|||
self.type_dict = {
|
||||
name: prompt
|
||||
for name, prompt in self.type_dict.items()
|
||||
if name in settings.PROMPTS or settings.DEV
|
||||
if name in settings_manager.settings.PROMPTS
|
||||
or settings_manager.settings.DEV
|
||||
}
|
||||
return self.type_dict
|
||||
|
||||
|
|
|
|||
|
|
@ -4,7 +4,8 @@ from langchain import retrievers
|
|||
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.importing.utils import import_class
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.retrievers import RetrieverFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_method, build_template_from_class
|
||||
|
|
@ -48,10 +49,12 @@ class RetrieverCreator(LangChainTypeCreator):
|
|||
return None
|
||||
|
||||
def to_list(self) -> List[str]:
|
||||
settings_manager = get_settings_manager()
|
||||
return [
|
||||
retriever
|
||||
for retriever in self.type_to_loader_dict.keys()
|
||||
if retriever in settings.RETRIEVERS or settings.DEV
|
||||
if retriever in settings_manager.settings.RETRIEVERS
|
||||
or settings_manager.settings.DEV
|
||||
]
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
from langflow.cache.utils import memoize_dict
|
||||
from langflow.services.cache.utils import memoize_dict
|
||||
from langflow.graph import Graph
|
||||
from langflow.utils.logger import logger
|
||||
|
||||
|
|
|
|||
|
|
@ -1,9 +1,10 @@
|
|||
from typing import Dict, List, Optional, Type
|
||||
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.services.utils import get_settings_manager
|
||||
from langflow.template.frontend_node.textsplitters import TextSplittersFrontendNode
|
||||
from langflow.interface.custom_lists import textsplitter_type_to_cls_dict
|
||||
from langflow.settings import settings
|
||||
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_class
|
||||
|
||||
|
|
@ -30,10 +31,12 @@ class TextSplitterCreator(LangChainTypeCreator):
|
|||
return None
|
||||
|
||||
def to_list(self) -> List[str]:
|
||||
settings_manager = get_settings_manager()
|
||||
return [
|
||||
textsplitter.__name__
|
||||
for textsplitter in self.type_to_loader_dict.values()
|
||||
if textsplitter.__name__ in settings.TEXTSPLITTERS or settings.DEV
|
||||
if textsplitter.__name__ in settings_manager.settings.TEXTSPLITTERS
|
||||
or settings_manager.settings.DEV
|
||||
]
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -4,7 +4,8 @@ from langchain.agents import agent_toolkits
|
|||
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.importing.utils import import_class, import_module
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_class
|
||||
|
||||
|
|
@ -29,13 +30,15 @@ class ToolkitCreator(LangChainTypeCreator):
|
|||
@property
|
||||
def type_to_loader_dict(self) -> Dict:
|
||||
if self.type_dict is None:
|
||||
settings_manager = get_settings_manager()
|
||||
self.type_dict = {
|
||||
toolkit_name: import_class(
|
||||
f"langchain.agents.agent_toolkits.{toolkit_name}"
|
||||
)
|
||||
# if toolkit_name is not lower case it is a class
|
||||
for toolkit_name in agent_toolkits.__all__
|
||||
if not toolkit_name.islower() and toolkit_name in settings.TOOLKITS
|
||||
if not toolkit_name.islower()
|
||||
and toolkit_name in settings_manager.settings.TOOLKITS
|
||||
}
|
||||
|
||||
return self.type_dict
|
||||
|
|
|
|||
|
|
@ -15,7 +15,8 @@ from langflow.interface.tools.constants import (
|
|||
OTHER_TOOLS,
|
||||
)
|
||||
from langflow.interface.tools.util import get_tool_params
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.field.base import TemplateField
|
||||
from langflow.template.template.base import Template
|
||||
from langflow.utils import util
|
||||
|
|
@ -66,6 +67,7 @@ class ToolCreator(LangChainTypeCreator):
|
|||
|
||||
@property
|
||||
def type_to_loader_dict(self) -> Dict:
|
||||
settings_manager = get_settings_manager()
|
||||
if self.tools_dict is None:
|
||||
all_tools = {}
|
||||
|
||||
|
|
@ -74,7 +76,10 @@ class ToolCreator(LangChainTypeCreator):
|
|||
|
||||
tool_name = tool_params.get("name") or tool
|
||||
|
||||
if tool_name in settings.TOOLS or settings.DEV:
|
||||
if (
|
||||
tool_name in settings_manager.settings.TOOLS
|
||||
or settings_manager.settings.DEV
|
||||
):
|
||||
if tool_name == "JsonSpec":
|
||||
tool_params["path"] = tool_params.pop("dict_") # type: ignore
|
||||
all_tools[tool_name] = {
|
||||
|
|
|
|||
|
|
@ -1,6 +1,7 @@
|
|||
import ast
|
||||
import contextlib
|
||||
from typing import Any
|
||||
from langflow.api.utils import merge_nested_dicts_with_renaming
|
||||
from langflow.interface.agents.base import agent_creator
|
||||
from langflow.interface.chains.base import chain_creator
|
||||
from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES
|
||||
|
|
@ -30,7 +31,6 @@ from langflow.interface.retrievers.base import retriever_creator
|
|||
from langflow.interface.custom.directory_reader import DirectoryReader
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import get_base_classes
|
||||
from langflow.api.utils import merge_nested_dicts
|
||||
|
||||
import re
|
||||
import warnings
|
||||
|
|
@ -423,4 +423,4 @@ def build_langchain_custom_component_list_from_path(path: str):
|
|||
valid_menu = build_valid_menu(valid_components)
|
||||
invalid_menu = build_invalid_menu(invalid_components)
|
||||
|
||||
return merge_nested_dicts(valid_menu, invalid_menu)
|
||||
return merge_nested_dicts_with_renaming(valid_menu, invalid_menu)
|
||||
|
|
|
|||
|
|
@ -5,7 +5,8 @@ from langchain import SQLDatabase, utilities
|
|||
from langflow.custom.customs import get_custom_nodes
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.importing.utils import import_class
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.utilities import UtilitiesFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_class
|
||||
|
|
@ -26,6 +27,7 @@ class UtilityCreator(LangChainTypeCreator):
|
|||
from the langchain.chains module and filtering them according to the settings.utilities list.
|
||||
"""
|
||||
if self.type_dict is None:
|
||||
settings_manager = get_settings_manager()
|
||||
self.type_dict = {
|
||||
utility_name: import_class(f"langchain.utilities.{utility_name}")
|
||||
for utility_name in utilities.__all__
|
||||
|
|
@ -35,7 +37,8 @@ class UtilityCreator(LangChainTypeCreator):
|
|||
self.type_dict = {
|
||||
name: utility
|
||||
for name, utility in self.type_dict.items()
|
||||
if name in settings.UTILITIES or settings.DEV
|
||||
if name in settings_manager.settings.UTILITIES
|
||||
or settings_manager.settings.DEV
|
||||
}
|
||||
|
||||
return self.type_dict
|
||||
|
|
|
|||
|
|
@ -9,7 +9,8 @@ import yaml
|
|||
from langchain.base_language import BaseLanguageModel
|
||||
from PIL.Image import Image
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.chat.config import ChatConfig
|
||||
from langflow.services.chat.config import ChatConfig
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
|
||||
def load_file_into_dict(file_path: str) -> dict:
|
||||
|
|
@ -63,13 +64,11 @@ def extract_input_variables_from_prompt(prompt: str) -> list[str]:
|
|||
|
||||
def setup_llm_caching():
|
||||
"""Setup LLM caching."""
|
||||
|
||||
from langflow.settings import settings
|
||||
|
||||
settings_manager = get_settings_manager()
|
||||
try:
|
||||
set_langchain_cache(settings)
|
||||
set_langchain_cache(settings_manager.settings)
|
||||
except ImportError:
|
||||
logger.warning(f"Could not import {settings.CACHE}. ")
|
||||
logger.warning(f"Could not import {settings_manager.settings.CACHE}. ")
|
||||
except Exception as exc:
|
||||
logger.warning(f"Could not setup LLM caching. Error: {exc}")
|
||||
|
||||
|
|
|
|||
|
|
@ -4,7 +4,8 @@ from langchain import vectorstores
|
|||
|
||||
from langflow.interface.base import LangChainTypeCreator
|
||||
from langflow.interface.importing.utils import import_class
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
from langflow.template.frontend_node.vectorstores import VectorStoreFrontendNode
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import build_template_from_method
|
||||
|
|
@ -43,10 +44,12 @@ class VectorstoreCreator(LangChainTypeCreator):
|
|||
return None
|
||||
|
||||
def to_list(self) -> List[str]:
|
||||
settings_manager = get_settings_manager()
|
||||
return [
|
||||
vectorstore
|
||||
for vectorstore in self.type_to_loader_dict.keys()
|
||||
if vectorstore in settings.VECTORSTORES or settings.DEV
|
||||
if vectorstore in settings_manager.settings.VECTORSTORES
|
||||
or settings_manager.settings.DEV
|
||||
]
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -6,13 +6,15 @@ from fastapi.responses import FileResponse
|
|||
from fastapi.staticfiles import StaticFiles
|
||||
|
||||
from langflow.api import router
|
||||
from langflow.database.base import create_db_and_tables, Engine
|
||||
from langflow.interface.utils import setup_llm_caching
|
||||
from langflow.services.database.utils import initialize_database
|
||||
from langflow.services.manager import initialize_services
|
||||
from langflow.utils.logger import configure
|
||||
|
||||
|
||||
def create_app():
|
||||
"""Create the FastAPI app and include the router."""
|
||||
|
||||
configure()
|
||||
|
||||
app = FastAPI()
|
||||
|
|
@ -32,10 +34,10 @@ def create_app():
|
|||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.include_router(router)
|
||||
app.on_event("startup")(Engine.update)
|
||||
app.on_event("startup")(create_db_and_tables)
|
||||
|
||||
app.on_event("startup")(initialize_services)
|
||||
app.on_event("startup")(initialize_database)
|
||||
app.on_event("startup")(setup_llm_caching)
|
||||
return app
|
||||
|
||||
|
|
@ -68,16 +70,19 @@ def get_static_files_dir():
|
|||
return frontend_path / "frontend"
|
||||
|
||||
|
||||
def setup_app(static_files_dir: Optional[Path] = None) -> FastAPI:
|
||||
def setup_app(
|
||||
static_files_dir: Optional[Path] = None, backend_only: bool = False
|
||||
) -> FastAPI:
|
||||
"""Setup the FastAPI app."""
|
||||
# get the directory of the current file
|
||||
if not static_files_dir:
|
||||
static_files_dir = get_static_files_dir()
|
||||
|
||||
if not static_files_dir or not static_files_dir.exists():
|
||||
if not backend_only and (not static_files_dir or not static_files_dir.exists()):
|
||||
raise RuntimeError(f"Static files directory {static_files_dir} does not exist.")
|
||||
app = create_app()
|
||||
setup_static_files(app, static_files_dir)
|
||||
if not backend_only and static_files_dir is not None:
|
||||
setup_static_files(app, static_files_dir)
|
||||
return app
|
||||
|
||||
|
||||
|
|
|
|||
4
src/backend/langflow/services/__init__.py
Normal file
4
src/backend/langflow/services/__init__.py
Normal file
|
|
@ -0,0 +1,4 @@
|
|||
from .manager import service_manager
|
||||
from .schema import ServiceType
|
||||
|
||||
__all__ = ["service_manager", "ServiceType"]
|
||||
2
src/backend/langflow/services/base.py
Normal file
2
src/backend/langflow/services/base.py
Normal file
|
|
@ -0,0 +1,2 @@
|
|||
class Service:
|
||||
name: str
|
||||
11
src/backend/langflow/services/cache/__init__.py
vendored
Normal file
11
src/backend/langflow/services/cache/__init__.py
vendored
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
from . import factory, manager
|
||||
from langflow.services.cache.manager import cache_manager
|
||||
from langflow.services.cache.flow import InMemoryCache
|
||||
|
||||
|
||||
__all__ = [
|
||||
"cache_manager",
|
||||
"factory",
|
||||
"manager",
|
||||
"InMemoryCache",
|
||||
]
|
||||
11
src/backend/langflow/services/cache/factory.py
vendored
Normal file
11
src/backend/langflow/services/cache/factory.py
vendored
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
from langflow.services.cache.manager import CacheManager
|
||||
from langflow.services.factory import ServiceFactory
|
||||
|
||||
|
||||
class CacheManagerFactory(ServiceFactory):
|
||||
def __init__(self):
|
||||
super().__init__(CacheManager)
|
||||
|
||||
def create(self, settings_service):
|
||||
# Here you would have logic to create and configure a CacheManager
|
||||
return CacheManager()
|
||||
|
|
@ -2,7 +2,7 @@ import threading
|
|||
import time
|
||||
from collections import OrderedDict
|
||||
|
||||
from langflow.cache.base import BaseCache
|
||||
from langflow.services.cache.base import BaseCache
|
||||
|
||||
|
||||
class InMemoryCache(BaseCache):
|
||||
|
|
@ -1,5 +1,6 @@
|
|||
from contextlib import contextmanager
|
||||
from typing import Any, Awaitable, Callable, List, Optional
|
||||
from langflow.services.base import Service
|
||||
|
||||
import pandas as pd
|
||||
from PIL import Image
|
||||
|
|
@ -49,9 +50,11 @@ class AsyncSubject:
|
|||
await observer()
|
||||
|
||||
|
||||
class CacheManager(Subject):
|
||||
class CacheManager(Subject, Service):
|
||||
"""Manages cache for different clients and notifies observers on changes."""
|
||||
|
||||
name = "cache_manager"
|
||||
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self._cache = {}
|
||||
11
src/backend/langflow/services/chat/factory.py
Normal file
11
src/backend/langflow/services/chat/factory.py
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
from langflow.services.chat.manager import ChatManager
|
||||
from langflow.services.factory import ServiceFactory
|
||||
|
||||
|
||||
class ChatManagerFactory(ServiceFactory):
|
||||
def __init__(self):
|
||||
super().__init__(ChatManager)
|
||||
|
||||
def create(self, settings_service):
|
||||
# Here you would have logic to create and configure a ChatManager
|
||||
return ChatManager()
|
||||
|
|
@ -1,10 +1,12 @@
|
|||
from collections import defaultdict
|
||||
from fastapi import WebSocket, status
|
||||
from langflow.api.v1.schemas import ChatMessage, ChatResponse, FileResponse
|
||||
from langflow.cache import cache_manager
|
||||
from langflow.cache.manager import Subject
|
||||
from langflow.chat.utils import process_graph
|
||||
from langflow.services.base import Service
|
||||
from langflow.services import service_manager
|
||||
from langflow.services.cache.manager import Subject
|
||||
from langflow.services.chat.utils import process_graph
|
||||
from langflow.interface.utils import pil_to_base64
|
||||
from langflow.services.schema import ServiceType
|
||||
from langflow.utils.logger import logger
|
||||
|
||||
|
||||
|
|
@ -12,7 +14,7 @@ import asyncio
|
|||
import json
|
||||
from typing import Any, Dict, List
|
||||
|
||||
from langflow.cache.flow import InMemoryCache
|
||||
from langflow.services.cache.flow import InMemoryCache
|
||||
|
||||
|
||||
class ChatHistory(Subject):
|
||||
|
|
@ -42,11 +44,13 @@ class ChatHistory(Subject):
|
|||
self.history[client_id] = []
|
||||
|
||||
|
||||
class ChatManager:
|
||||
class ChatManager(Service):
|
||||
name = "chat_manager"
|
||||
|
||||
def __init__(self):
|
||||
self.active_connections: Dict[str, WebSocket] = {}
|
||||
self.chat_history = ChatHistory()
|
||||
self.cache_manager = cache_manager
|
||||
self.cache_manager = service_manager.get(ServiceType.CACHE_MANAGER)
|
||||
self.cache_manager.attach(self.update)
|
||||
self.in_memory_cache = InMemoryCache()
|
||||
|
||||
|
|
@ -117,7 +121,7 @@ class ChatManager:
|
|||
self, client_id: str, payload: Dict, langchain_object: Any
|
||||
):
|
||||
# Process the graph data and chat message
|
||||
chat_inputs = payload.pop("inputs", "")
|
||||
chat_inputs = payload.pop("inputs", {})
|
||||
chat_inputs = ChatMessage(message=chat_inputs)
|
||||
self.chat_history.add_message(client_id, chat_inputs)
|
||||
|
||||
|
|
@ -21,9 +21,9 @@ async def process_graph(
|
|||
|
||||
# Generate result and thought
|
||||
try:
|
||||
if not chat_inputs.message:
|
||||
if chat_inputs.message is None:
|
||||
logger.debug("No message provided")
|
||||
raise ValueError("No message provided")
|
||||
chat_inputs.message = {}
|
||||
|
||||
logger.debug("Generating result and thought")
|
||||
result, intermediate_steps = await get_result_and_steps(
|
||||
17
src/backend/langflow/services/database/factory.py
Normal file
17
src/backend/langflow/services/database/factory.py
Normal file
|
|
@ -0,0 +1,17 @@
|
|||
from typing import TYPE_CHECKING
|
||||
from langflow.services.database.manager import DatabaseManager
|
||||
from langflow.services.factory import ServiceFactory
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langflow.services.settings.manager import SettingsManager
|
||||
|
||||
|
||||
class DatabaseManagerFactory(ServiceFactory):
|
||||
def __init__(self):
|
||||
super().__init__(DatabaseManager)
|
||||
|
||||
def create(self, settings_service: "SettingsManager"):
|
||||
# Here you would have logic to create and configure a DatabaseManager
|
||||
if not settings_service.settings.DATABASE_URL:
|
||||
raise ValueError("No database URL provided")
|
||||
return DatabaseManager(settings_service.settings.DATABASE_URL)
|
||||
67
src/backend/langflow/services/database/manager.py
Normal file
67
src/backend/langflow/services/database/manager.py
Normal file
|
|
@ -0,0 +1,67 @@
|
|||
from pathlib import Path
|
||||
from langflow.services.base import Service
|
||||
from sqlmodel import SQLModel, Session, create_engine
|
||||
from langflow.utils.logger import logger
|
||||
from alembic.config import Config
|
||||
from alembic import command
|
||||
from langflow.services.database import models # noqa
|
||||
|
||||
|
||||
class DatabaseManager(Service):
|
||||
name = "database_manager"
|
||||
|
||||
def __init__(self, database_url: str):
|
||||
self.database_url = database_url
|
||||
# This file is in langflow.services.database.manager.py
|
||||
# the ini is in langflow
|
||||
langflow_dir = Path(__file__).parent.parent.parent
|
||||
self.script_location = langflow_dir / "alembic"
|
||||
self.alembic_cfg_path = langflow_dir / "alembic.ini"
|
||||
self.engine = create_engine(database_url)
|
||||
|
||||
def __enter__(self):
|
||||
self._session = Session(self.engine)
|
||||
return self._session
|
||||
|
||||
def __exit__(self, exc_type, exc_value, traceback):
|
||||
if exc_type is not None: # If an exception has been raised
|
||||
logger.error(
|
||||
f"Session rollback because of exception: {exc_type.__name__} {exc_value}"
|
||||
)
|
||||
self._session.rollback()
|
||||
else:
|
||||
self._session.commit()
|
||||
self._session.close()
|
||||
|
||||
def get_session(self):
|
||||
with Session(self.engine) as session:
|
||||
yield session
|
||||
|
||||
def run_migrations(self):
|
||||
logger.info(
|
||||
f"Running DB migrations in {self.script_location} on {self.database_url}"
|
||||
)
|
||||
alembic_cfg = Config()
|
||||
alembic_cfg.set_main_option("script_location", str(self.script_location))
|
||||
alembic_cfg.set_main_option("sqlalchemy.url", self.database_url)
|
||||
command.upgrade(alembic_cfg, "head")
|
||||
|
||||
def create_db_and_tables(self):
|
||||
logger.debug("Creating database and tables")
|
||||
try:
|
||||
SQLModel.metadata.create_all(self.engine)
|
||||
except Exception as exc:
|
||||
logger.error(f"Error creating database and tables: {exc}")
|
||||
raise RuntimeError("Error creating database and tables") from exc
|
||||
|
||||
# Now check if the table "flow" exists, if not, something went wrong
|
||||
# and we need to create the tables again.
|
||||
from sqlalchemy import inspect
|
||||
|
||||
inspector = inspect(self.engine)
|
||||
if "flow" not in inspector.get_table_names():
|
||||
logger.error("Something went wrong creating the database and tables.")
|
||||
logger.error("Please check your database settings.")
|
||||
raise RuntimeError("Something went wrong creating the database and tables.")
|
||||
else:
|
||||
logger.debug("Database and tables created successfully")
|
||||
|
|
@ -0,0 +1,4 @@
|
|||
from .flow import Flow
|
||||
|
||||
|
||||
__all__ = ["Flow"]
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
from langflow.database.models.base import SQLModelSerializable, SQLModel
|
||||
from langflow.services.database.models.base import SQLModelSerializable, SQLModel
|
||||
from sqlmodel import Field
|
||||
from typing import Optional
|
||||
from datetime import datetime
|
||||
|
|
@ -1,13 +1,12 @@
|
|||
# Path: src/backend/langflow/database/models/flow.py
|
||||
|
||||
from langflow.database.models.base import SQLModelSerializable
|
||||
from langflow.services.database.models.base import SQLModelSerializable
|
||||
from pydantic import validator
|
||||
from sqlmodel import Field, Relationship, JSON, Column
|
||||
from sqlmodel import Field, JSON, Column
|
||||
from uuid import UUID, uuid4
|
||||
from typing import Dict, Optional
|
||||
|
||||
# if TYPE_CHECKING:
|
||||
from langflow.database.models.flow_style import FlowStyle, FlowStyleRead
|
||||
|
||||
|
||||
class FlowBase(SQLModelSerializable):
|
||||
|
|
@ -35,11 +34,6 @@ class FlowBase(SQLModelSerializable):
|
|||
class Flow(FlowBase, table=True):
|
||||
id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
|
||||
data: Optional[Dict] = Field(default=None, sa_column=Column(JSON))
|
||||
style: Optional["FlowStyle"] = Relationship(
|
||||
back_populates="flow",
|
||||
# use "uselist=False" to make it a one-to-one relationship
|
||||
sa_relationship_kwargs={"uselist": False},
|
||||
)
|
||||
|
||||
|
||||
class FlowCreate(FlowBase):
|
||||
|
|
@ -50,10 +44,6 @@ class FlowRead(FlowBase):
|
|||
id: UUID
|
||||
|
||||
|
||||
class FlowReadWithStyle(FlowRead):
|
||||
style: Optional["FlowStyleRead"] = None
|
||||
|
||||
|
||||
class FlowUpdate(SQLModelSerializable):
|
||||
name: Optional[str] = None
|
||||
description: Optional[str] = None
|
||||
31
src/backend/langflow/services/database/utils.py
Normal file
31
src/backend/langflow/services/database/utils.py
Normal file
|
|
@ -0,0 +1,31 @@
|
|||
from typing import TYPE_CHECKING
|
||||
from langflow.utils.logger import logger
|
||||
from contextlib import contextmanager
|
||||
|
||||
from sqlmodel import Session
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langflow.services.database.manager import DatabaseManager
|
||||
|
||||
|
||||
def initialize_database():
|
||||
logger.debug("Initializing database")
|
||||
from langflow.services import service_manager, ServiceType
|
||||
|
||||
database_manager = service_manager.get(ServiceType.DATABASE_MANAGER)
|
||||
database_manager.run_migrations()
|
||||
database_manager.create_db_and_tables()
|
||||
logger.debug("Database initialized")
|
||||
|
||||
|
||||
@contextmanager
|
||||
def session_getter(db_manager: "DatabaseManager"):
|
||||
try:
|
||||
session = Session(db_manager.engine)
|
||||
yield session
|
||||
except Exception as e:
|
||||
print("Session rollback because of exception:", e)
|
||||
session.rollback()
|
||||
raise
|
||||
finally:
|
||||
session.close()
|
||||
6
src/backend/langflow/services/factory.py
Normal file
6
src/backend/langflow/services/factory.py
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
class ServiceFactory:
|
||||
def __init__(self, service_class):
|
||||
self.service_class = service_class
|
||||
|
||||
def create(self, *args, **kwargs):
|
||||
raise NotImplementedError
|
||||
87
src/backend/langflow/services/manager.py
Normal file
87
src/backend/langflow/services/manager.py
Normal file
|
|
@ -0,0 +1,87 @@
|
|||
from langflow.services.schema import ServiceType
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langflow.services.factory import ServiceFactory
|
||||
|
||||
|
||||
class ServiceManager:
|
||||
"""
|
||||
Manages the creation of different services.
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self.services = {}
|
||||
self.factories = {}
|
||||
|
||||
def register_factory(self, service_factory: "ServiceFactory"):
|
||||
"""
|
||||
Registers a new factory.
|
||||
"""
|
||||
self.factories[service_factory.service_class.name] = service_factory
|
||||
|
||||
def get(self, service_name: ServiceType):
|
||||
"""
|
||||
Get (or create) a service by its name.
|
||||
"""
|
||||
if service_name not in self.services:
|
||||
self._create_service(service_name)
|
||||
|
||||
return self.services[service_name]
|
||||
|
||||
def _create_service(self, service_name: ServiceType):
|
||||
"""
|
||||
Create a new service given its name.
|
||||
"""
|
||||
self._validate_service_creation(service_name)
|
||||
|
||||
if service_name == ServiceType.SETTINGS_MANAGER:
|
||||
self.services[service_name] = self.factories[service_name].create()
|
||||
else:
|
||||
settings_service = self.get(ServiceType.SETTINGS_MANAGER)
|
||||
self.services[service_name] = self.factories[service_name].create(
|
||||
settings_service
|
||||
)
|
||||
|
||||
def _validate_service_creation(self, service_name: ServiceType):
|
||||
"""
|
||||
Validate whether the service can be created.
|
||||
"""
|
||||
if service_name not in self.factories:
|
||||
raise ValueError(
|
||||
f"No factory registered for the service class '{service_name.name}'"
|
||||
)
|
||||
|
||||
if (
|
||||
ServiceType.SETTINGS_MANAGER not in self.factories
|
||||
and service_name != ServiceType.SETTINGS_MANAGER
|
||||
):
|
||||
raise ValueError(
|
||||
f"Cannot create service '{service_name.name}' before the settings service"
|
||||
)
|
||||
|
||||
def update(self, service_name: ServiceType):
|
||||
"""
|
||||
Update a service by its name.
|
||||
"""
|
||||
if service_name in self.services:
|
||||
self.services.pop(service_name, None)
|
||||
self.get(service_name)
|
||||
|
||||
|
||||
service_manager = ServiceManager()
|
||||
|
||||
|
||||
def initialize_services():
|
||||
"""
|
||||
Initialize all the services needed.
|
||||
"""
|
||||
from langflow.services.database import factory as database_factory
|
||||
from langflow.services.cache import factory as cache_factory
|
||||
from langflow.services.chat import factory as chat_factory
|
||||
from langflow.services.settings import factory as settings_factory
|
||||
|
||||
service_manager.register_factory(settings_factory.SettingsManagerFactory())
|
||||
service_manager.register_factory(database_factory.DatabaseManagerFactory())
|
||||
service_manager.register_factory(cache_factory.CacheManagerFactory())
|
||||
service_manager.register_factory(chat_factory.ChatManagerFactory())
|
||||
13
src/backend/langflow/services/schema.py
Normal file
13
src/backend/langflow/services/schema.py
Normal file
|
|
@ -0,0 +1,13 @@
|
|||
from enum import Enum
|
||||
|
||||
|
||||
class ServiceType(str, Enum):
|
||||
"""
|
||||
Enum for the different types of services that can be
|
||||
registered with the service manager.
|
||||
"""
|
||||
|
||||
CACHE_MANAGER = "cache_manager"
|
||||
SETTINGS_MANAGER = "settings_manager"
|
||||
DATABASE_MANAGER = "database_manager"
|
||||
CHAT_MANAGER = "chat_manager"
|
||||
3
src/backend/langflow/services/settings/__init__.py
Normal file
3
src/backend/langflow/services/settings/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
from . import factory, manager
|
||||
|
||||
__all__ = ["factory", "manager"]
|
||||
168
src/backend/langflow/services/settings/base.py
Normal file
168
src/backend/langflow/services/settings/base.py
Normal file
|
|
@ -0,0 +1,168 @@
|
|||
import contextlib
|
||||
import json
|
||||
import os
|
||||
from typing import Optional, List
|
||||
from pathlib import Path
|
||||
|
||||
import yaml
|
||||
from pydantic import BaseSettings, root_validator, validator
|
||||
from langflow.utils.logger import logger
|
||||
|
||||
BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
CHAINS: dict = {}
|
||||
AGENTS: dict = {}
|
||||
PROMPTS: dict = {}
|
||||
LLMS: dict = {}
|
||||
TOOLS: dict = {}
|
||||
MEMORIES: dict = {}
|
||||
EMBEDDINGS: dict = {}
|
||||
VECTORSTORES: dict = {}
|
||||
DOCUMENTLOADERS: dict = {}
|
||||
WRAPPERS: dict = {}
|
||||
RETRIEVERS: dict = {}
|
||||
TOOLKITS: dict = {}
|
||||
TEXTSPLITTERS: dict = {}
|
||||
UTILITIES: dict = {}
|
||||
OUTPUT_PARSERS: dict = {}
|
||||
CUSTOM_COMPONENTS: dict = {}
|
||||
|
||||
DEV: bool = False
|
||||
DATABASE_URL: Optional[str] = None
|
||||
CACHE: str = "InMemoryCache"
|
||||
REMOVE_API_KEYS: bool = False
|
||||
COMPONENTS_PATH: List[str] = []
|
||||
|
||||
@validator("DATABASE_URL", pre=True)
|
||||
def set_database_url(cls, value):
|
||||
if not value:
|
||||
logger.debug(
|
||||
"No database_url provided, trying LANGFLOW_DATABASE_URL env variable"
|
||||
)
|
||||
if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"):
|
||||
value = langflow_database_url
|
||||
logger.debug("Using LANGFLOW_DATABASE_URL env variable.")
|
||||
else:
|
||||
logger.debug("No DATABASE_URL env variable, using sqlite database")
|
||||
value = "sqlite:///./langflow.db"
|
||||
|
||||
return value
|
||||
|
||||
@validator("COMPONENTS_PATH", pre=True)
|
||||
def set_components_path(cls, value):
|
||||
if os.getenv("LANGFLOW_COMPONENTS_PATH"):
|
||||
logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path")
|
||||
langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH")
|
||||
if (
|
||||
Path(langflow_component_path).exists()
|
||||
and langflow_component_path not in value
|
||||
):
|
||||
if isinstance(langflow_component_path, list):
|
||||
for path in langflow_component_path:
|
||||
if path not in value:
|
||||
value.append(path)
|
||||
logger.debug(
|
||||
f"Extending {langflow_component_path} to components_path"
|
||||
)
|
||||
elif langflow_component_path not in value:
|
||||
value.append(langflow_component_path)
|
||||
logger.debug(
|
||||
f"Appending {langflow_component_path} to components_path"
|
||||
)
|
||||
|
||||
if not value:
|
||||
value = [BASE_COMPONENTS_PATH]
|
||||
logger.debug("Setting default components path to components_path")
|
||||
elif BASE_COMPONENTS_PATH not in value:
|
||||
value.append(BASE_COMPONENTS_PATH)
|
||||
logger.debug("Adding default components path to components_path")
|
||||
|
||||
logger.debug(f"Components path: {value}")
|
||||
return value
|
||||
|
||||
class Config:
|
||||
validate_assignment = True
|
||||
extra = "ignore"
|
||||
env_prefix = "LANGFLOW_"
|
||||
|
||||
@root_validator(allow_reuse=True)
|
||||
def validate_lists(cls, values):
|
||||
for key, value in values.items():
|
||||
if key != "dev" and not value:
|
||||
values[key] = []
|
||||
return values
|
||||
|
||||
def update_from_yaml(self, file_path: str, dev: bool = False):
|
||||
new_settings = load_settings_from_yaml(file_path)
|
||||
self.CHAINS = new_settings.CHAINS or {}
|
||||
self.AGENTS = new_settings.AGENTS or {}
|
||||
self.PROMPTS = new_settings.PROMPTS or {}
|
||||
self.LLMS = new_settings.LLMS or {}
|
||||
self.TOOLS = new_settings.TOOLS or {}
|
||||
self.MEMORIES = new_settings.MEMORIES or {}
|
||||
self.WRAPPERS = new_settings.WRAPPERS or {}
|
||||
self.TOOLKITS = new_settings.TOOLKITS or {}
|
||||
self.TEXTSPLITTERS = new_settings.TEXTSPLITTERS or {}
|
||||
self.UTILITIES = new_settings.UTILITIES or {}
|
||||
self.EMBEDDINGS = new_settings.EMBEDDINGS or {}
|
||||
self.VECTORSTORES = new_settings.VECTORSTORES or {}
|
||||
self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {}
|
||||
self.RETRIEVERS = new_settings.RETRIEVERS or {}
|
||||
self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {}
|
||||
self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {}
|
||||
self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or []
|
||||
self.DEV = dev
|
||||
|
||||
def update_settings(self, **kwargs):
|
||||
logger.debug("Updating settings")
|
||||
for key, value in kwargs.items():
|
||||
# value may contain sensitive information, so we don't want to log it
|
||||
if not hasattr(self, key):
|
||||
logger.debug(f"Key {key} not found in settings")
|
||||
continue
|
||||
logger.debug(f"Updating {key}")
|
||||
if isinstance(getattr(self, key), list):
|
||||
# value might be a '[something]' string
|
||||
with contextlib.suppress(json.decoder.JSONDecodeError):
|
||||
value = json.loads(str(value))
|
||||
if isinstance(value, list):
|
||||
for item in value:
|
||||
if item not in getattr(self, key):
|
||||
getattr(self, key).append(item)
|
||||
logger.debug(f"Extended {key}")
|
||||
else:
|
||||
getattr(self, key).append(value)
|
||||
logger.debug(f"Appended {key}")
|
||||
|
||||
else:
|
||||
setattr(self, key, value)
|
||||
logger.debug(f"Updated {key}")
|
||||
logger.debug(f"{key}: {getattr(self, key)}")
|
||||
|
||||
|
||||
def save_settings_to_yaml(settings: Settings, file_path: str):
|
||||
with open(file_path, "w") as f:
|
||||
settings_dict = settings.dict()
|
||||
yaml.dump(settings_dict, f)
|
||||
|
||||
|
||||
def load_settings_from_yaml(file_path: str) -> Settings:
|
||||
# Check if a string is a valid path or a file name
|
||||
if "/" not in file_path:
|
||||
# Get current path
|
||||
current_path = os.path.dirname(os.path.abspath(__file__))
|
||||
|
||||
file_path = os.path.join(current_path, file_path)
|
||||
|
||||
with open(file_path, "r") as f:
|
||||
settings_dict = yaml.safe_load(f)
|
||||
settings_dict = {k.upper(): v for k, v in settings_dict.items()}
|
||||
|
||||
for key in settings_dict:
|
||||
if key not in Settings.__fields__.keys():
|
||||
raise KeyError(f"Key {key} not found in settings")
|
||||
logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}")
|
||||
|
||||
return Settings(**settings_dict)
|
||||
15
src/backend/langflow/services/settings/factory.py
Normal file
15
src/backend/langflow/services/settings/factory.py
Normal file
|
|
@ -0,0 +1,15 @@
|
|||
from pathlib import Path
|
||||
from langflow.services.settings.manager import SettingsManager
|
||||
from langflow.services.factory import ServiceFactory
|
||||
|
||||
|
||||
class SettingsManagerFactory(ServiceFactory):
|
||||
def __init__(self):
|
||||
super().__init__(SettingsManager)
|
||||
|
||||
def create(self):
|
||||
# Here you would have logic to create and configure a SettingsManager
|
||||
langflow_dir = Path(__file__).parent.parent.parent
|
||||
return SettingsManager.load_settings_from_yaml(
|
||||
str(langflow_dir / "config.yaml")
|
||||
)
|
||||
36
src/backend/langflow/services/settings/manager.py
Normal file
36
src/backend/langflow/services/settings/manager.py
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
from langflow.services.base import Service
|
||||
from langflow.services.settings.base import Settings
|
||||
from langflow.utils.logger import logger
|
||||
import os
|
||||
import yaml
|
||||
|
||||
|
||||
class SettingsManager(Service):
|
||||
name = "settings_manager"
|
||||
|
||||
def __init__(self, settings: Settings):
|
||||
super().__init__()
|
||||
self.settings = settings
|
||||
|
||||
@classmethod
|
||||
def load_settings_from_yaml(cls, file_path: str) -> "SettingsManager":
|
||||
# Check if a string is a valid path or a file name
|
||||
if "/" not in file_path:
|
||||
# Get current path
|
||||
current_path = os.path.dirname(os.path.abspath(__file__))
|
||||
|
||||
file_path = os.path.join(current_path, file_path)
|
||||
|
||||
with open(file_path, "r") as f:
|
||||
settings_dict = yaml.safe_load(f)
|
||||
settings_dict = {k.upper(): v for k, v in settings_dict.items()}
|
||||
|
||||
for key in settings_dict:
|
||||
if key not in Settings.__fields__.keys():
|
||||
raise KeyError(f"Key {key} not found in settings")
|
||||
logger.debug(
|
||||
f"Loading {len(settings_dict[key])} {key} from {file_path}"
|
||||
)
|
||||
|
||||
settings = Settings(**settings_dict)
|
||||
return cls(settings)
|
||||
18
src/backend/langflow/services/utils.py
Normal file
18
src/backend/langflow/services/utils.py
Normal file
|
|
@ -0,0 +1,18 @@
|
|||
from langflow.services import ServiceType, service_manager
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langflow.services.settings.manager import SettingsManager
|
||||
|
||||
|
||||
def get_settings_manager() -> "SettingsManager":
|
||||
return service_manager.get(ServiceType.SETTINGS_MANAGER)
|
||||
|
||||
|
||||
def get_db_manager():
|
||||
return service_manager.get(ServiceType.DATABASE_MANAGER)
|
||||
|
||||
|
||||
def get_session():
|
||||
db_manager = service_manager.get(ServiceType.DATABASE_MANAGER)
|
||||
yield from db_manager.get_session()
|
||||
|
|
@ -12,8 +12,11 @@ class UtilitiesFrontendNode(FrontendNode):
|
|||
FrontendNode.format_field(field, name)
|
||||
# field.field_type could be "Literal['news', 'search', 'places', 'images']
|
||||
# we need to convert it to a list
|
||||
# It seems it could also be like "typing_extensions.['news', 'search', 'places', 'images']"
|
||||
if "Literal" in field.field_type:
|
||||
field.options = ast.literal_eval(field.field_type.replace("Literal", ""))
|
||||
field_type = field.field_type.replace("typing_extensions.", "")
|
||||
field_type = field_type.replace("Literal", "")
|
||||
field.options = ast.literal_eval(field_type)
|
||||
field.is_list = True
|
||||
field.field_type = "str"
|
||||
|
||||
|
|
|
|||
|
|
@ -4,6 +4,52 @@ from langflow.template.field.base import TemplateField
|
|||
from langflow.template.frontend_node.base import FrontendNode
|
||||
|
||||
|
||||
BASIC_FIELDS = [
|
||||
"work_dir",
|
||||
"collection_name",
|
||||
"api_key",
|
||||
"location",
|
||||
"persist_directory",
|
||||
"persist",
|
||||
"weaviate_url",
|
||||
"index_name",
|
||||
"namespace",
|
||||
"folder_path",
|
||||
"table_name",
|
||||
"query_name",
|
||||
"supabase_url",
|
||||
"supabase_service_key",
|
||||
"mongodb_atlas_cluster_uri",
|
||||
"collection_name",
|
||||
"db_name",
|
||||
]
|
||||
ADVANCED_FIELDS = [
|
||||
"n_dim",
|
||||
"key",
|
||||
"prefix",
|
||||
"distance_func",
|
||||
"content_payload_key",
|
||||
"metadata_payload_key",
|
||||
"timeout",
|
||||
"host",
|
||||
"path",
|
||||
"url",
|
||||
"port",
|
||||
"https",
|
||||
"prefer_grpc",
|
||||
"grpc_port",
|
||||
"pinecone_api_key",
|
||||
"pinecone_env",
|
||||
"client_kwargs",
|
||||
"search_kwargs",
|
||||
"chroma_server_host",
|
||||
"chroma_server_http_port",
|
||||
"chroma_server_ssl_enabled",
|
||||
"chroma_server_grpc_port",
|
||||
"chroma_server_cors_allow_origins",
|
||||
]
|
||||
|
||||
|
||||
class VectorStoreFrontendNode(FrontendNode):
|
||||
def add_extra_fields(self) -> None:
|
||||
extra_fields: List[TemplateField] = []
|
||||
|
|
@ -45,16 +91,62 @@ class VectorStoreFrontendNode(FrontendNode):
|
|||
|
||||
elif self.template.type_name == "Chroma":
|
||||
# New bool field for persist parameter
|
||||
extra_field = TemplateField(
|
||||
name="persist",
|
||||
field_type="bool",
|
||||
required=False,
|
||||
show=True,
|
||||
advanced=False,
|
||||
value=False,
|
||||
display_name="Persist",
|
||||
)
|
||||
extra_fields.append(extra_field)
|
||||
chroma_fields = [
|
||||
TemplateField(
|
||||
name="persist",
|
||||
field_type="bool",
|
||||
required=False,
|
||||
show=True,
|
||||
advanced=False,
|
||||
value=False,
|
||||
display_name="Persist",
|
||||
),
|
||||
# chroma_server_grpc_port: str | None = None,
|
||||
TemplateField(
|
||||
name="chroma_server_host",
|
||||
field_type="str",
|
||||
required=False,
|
||||
show=True,
|
||||
advanced=True,
|
||||
display_name="Chroma Server Host",
|
||||
),
|
||||
TemplateField(
|
||||
name="chroma_server_http_port",
|
||||
field_type="str",
|
||||
required=False,
|
||||
show=True,
|
||||
advanced=True,
|
||||
display_name="Chroma Server HTTP Port",
|
||||
),
|
||||
TemplateField(
|
||||
name="chroma_server_ssl_enabled",
|
||||
field_type="bool",
|
||||
required=False,
|
||||
show=True,
|
||||
advanced=True,
|
||||
value=False,
|
||||
display_name="Chroma Server SSL Enabled",
|
||||
),
|
||||
TemplateField(
|
||||
name="chroma_server_grpc_port",
|
||||
field_type="str",
|
||||
required=False,
|
||||
show=True,
|
||||
advanced=True,
|
||||
display_name="Chroma Server GRPC Port",
|
||||
),
|
||||
TemplateField(
|
||||
name="chroma_server_cors_allow_origins",
|
||||
field_type="str",
|
||||
required=False,
|
||||
is_list=True,
|
||||
show=True,
|
||||
advanced=True,
|
||||
display_name="Chroma Server CORS Allow Origins",
|
||||
),
|
||||
]
|
||||
|
||||
extra_fields.extend(chroma_fields)
|
||||
elif self.template.type_name == "Pinecone":
|
||||
# add pinecone_api_key and pinecone_env
|
||||
extra_field = TemplateField(
|
||||
|
|
@ -208,45 +300,6 @@ class VectorStoreFrontendNode(FrontendNode):
|
|||
def format_field(field: TemplateField, name: Optional[str] = None) -> None:
|
||||
FrontendNode.format_field(field, name)
|
||||
# Define common field attributes
|
||||
basic_fields = [
|
||||
"work_dir",
|
||||
"collection_name",
|
||||
"api_key",
|
||||
"location",
|
||||
"persist_directory",
|
||||
"persist",
|
||||
"weaviate_url",
|
||||
"index_name",
|
||||
"namespace",
|
||||
"folder_path",
|
||||
"table_name",
|
||||
"query_name",
|
||||
"supabase_url",
|
||||
"supabase_service_key",
|
||||
"mongodb_atlas_cluster_uri",
|
||||
"collection_name",
|
||||
"db_name",
|
||||
]
|
||||
advanced_fields = [
|
||||
"n_dim",
|
||||
"key",
|
||||
"prefix",
|
||||
"distance_func",
|
||||
"content_payload_key",
|
||||
"metadata_payload_key",
|
||||
"timeout",
|
||||
"host",
|
||||
"path",
|
||||
"url",
|
||||
"port",
|
||||
"https",
|
||||
"prefer_grpc",
|
||||
"grpc_port",
|
||||
"pinecone_api_key",
|
||||
"pinecone_env",
|
||||
"client_kwargs",
|
||||
"search_kwargs",
|
||||
]
|
||||
|
||||
# Check and set field attributes
|
||||
if field.name == "texts":
|
||||
|
|
@ -269,7 +322,7 @@ class VectorStoreFrontendNode(FrontendNode):
|
|||
field.display_name = "Embedding"
|
||||
field.field_type = "Embeddings"
|
||||
|
||||
elif field.name in basic_fields:
|
||||
elif field.name in BASIC_FIELDS:
|
||||
field.show = True
|
||||
field.advanced = False
|
||||
if field.name == "api_key":
|
||||
|
|
@ -279,7 +332,7 @@ class VectorStoreFrontendNode(FrontendNode):
|
|||
field.value = ":memory:"
|
||||
field.placeholder = ":memory:"
|
||||
|
||||
elif field.name in advanced_fields:
|
||||
elif field.name in ADVANCED_FIELDS:
|
||||
field.show = True
|
||||
field.advanced = True
|
||||
if "key" in field.name:
|
||||
|
|
|
|||
15
src/backend/langflow/utils/lazy_load.py
Normal file
15
src/backend/langflow/utils/lazy_load.py
Normal file
|
|
@ -0,0 +1,15 @@
|
|||
class LazyLoadDictBase:
|
||||
def __init__(self):
|
||||
self._all_types_dict = None
|
||||
|
||||
@property
|
||||
def all_types_dict(self):
|
||||
if self._all_types_dict is None:
|
||||
self._all_types_dict = self._build_dict()
|
||||
return self._all_types_dict
|
||||
|
||||
def _build_dict(self):
|
||||
raise NotImplementedError
|
||||
|
||||
def get_type_dict(self):
|
||||
raise NotImplementedError
|
||||
|
|
@ -1 +1,2 @@
|
|||
**/node_modules
|
||||
**/node_modules
|
||||
**/build
|
||||
|
|
@ -82,13 +82,15 @@ export default function BuildTrigger({
|
|||
const parsedData = JSON.parse(event.data);
|
||||
// if the event is the end of the stream, close the connection
|
||||
if (parsedData.end_of_stream) {
|
||||
// Close the connection and finish
|
||||
finished = true;
|
||||
eventSource.close();
|
||||
|
||||
return;
|
||||
} else if (parsedData.log) {
|
||||
// If the event is a log, log it
|
||||
setSuccessData({ title: parsedData.log });
|
||||
} else if (parsedData.input_keys) {
|
||||
} else if (parsedData.input_keys !== undefined) {
|
||||
setTabsState((old) => {
|
||||
return {
|
||||
...old,
|
||||
|
|
|
|||
|
|
@ -62,8 +62,7 @@ export default function Chat({ flow }: ChatType) {
|
|||
tabsState &&
|
||||
tabsState[flow.id] &&
|
||||
tabsState[flow.id].formKeysData &&
|
||||
tabsState[flow.id].formKeysData.input_keys &&
|
||||
Object.keys(tabsState[flow.id].formKeysData.input_keys).length > 0
|
||||
tabsState[flow.id].formKeysData.input_keys !== null
|
||||
) {
|
||||
setCanOpen(true);
|
||||
} else {
|
||||
|
|
|
|||
|
|
@ -74,7 +74,7 @@ const ApiModal = forwardRef(
|
|||
{
|
||||
name: "Chat Widget HTML",
|
||||
description:
|
||||
"Insert this code anywhere in your <body> tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
|
||||
"Insert this code anywhere in your <body> tag. To use with react and other libs, check our <a class='link-color' href='https://docs.langflow.org/guidelines/widget'>documentation</a>.",
|
||||
mode: "html",
|
||||
image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
|
||||
language: "py",
|
||||
|
|
@ -127,7 +127,7 @@ const ApiModal = forwardRef(
|
|||
{
|
||||
name: "Chat Widget HTML",
|
||||
description:
|
||||
"Insert this code anywhere in your <body> tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
|
||||
"Insert this code anywhere in your <body> tag. To use with react and other libs, check our <a class='link-color' href='https://docs.langflow.org/guidelines/widget'>documentation</a>.",
|
||||
mode: "html",
|
||||
image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
|
||||
language: "py",
|
||||
|
|
@ -168,7 +168,7 @@ const ApiModal = forwardRef(
|
|||
{
|
||||
name: "Chat Widget HTML",
|
||||
description:
|
||||
"Insert this code anywhere in your <body> tag. To use with react and other libs, check our <a class='link-color' href='https://langflow.org/guidelines/widget'>documentation</a>.",
|
||||
"Insert this code anywhere in your <body> tag. To use with react and other libs, check our <a class='link-color' href='https://docs.langflow.org/guidelines/widget'>documentation</a>.",
|
||||
mode: "html",
|
||||
image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png",
|
||||
language: "py",
|
||||
|
|
|
|||
|
|
@ -67,14 +67,17 @@ export default function FormModal({
|
|||
const id = useRef(flow.id);
|
||||
const tabsStateFlowId = tabsState[flow.id];
|
||||
const tabsStateFlowIdFormKeysData = tabsStateFlowId.formKeysData;
|
||||
const [chatKey, setChatKey] = useState(
|
||||
Object.keys(tabsState[flow.id].formKeysData.input_keys).find(
|
||||
(key) =>
|
||||
!tabsState[flow.id].formKeysData.handle_keys.some((j) => j === key) &&
|
||||
tabsState[flow.id].formKeysData.input_keys[key] === ""
|
||||
)
|
||||
);
|
||||
|
||||
const [chatKey, setChatKey] = useState(() => {
|
||||
if (tabsState[flow.id]?.formKeysData?.input_keys) {
|
||||
return Object.keys(tabsState[flow.id].formKeysData.input_keys).find(
|
||||
(k) =>
|
||||
!tabsState[flow.id].formKeysData.handle_keys.some((j) => j === k) &&
|
||||
tabsState[flow.id].formKeysData.input_keys[k] === ""
|
||||
);
|
||||
}
|
||||
// TODO: return a sensible default
|
||||
return "";
|
||||
});
|
||||
useEffect(() => {
|
||||
if (messagesRef.current) {
|
||||
messagesRef.current.scrollTop = messagesRef.current.scrollHeight;
|
||||
|
|
@ -419,70 +422,72 @@ export default function FormModal({
|
|||
</div>
|
||||
</div>
|
||||
|
||||
{Object.keys(tabsState[id.current].formKeysData.input_keys).map(
|
||||
(key, index) => (
|
||||
<div className="file-component-accordion-div" key={index}>
|
||||
<AccordionComponent
|
||||
trigger={
|
||||
<div className="file-component-badge-div">
|
||||
<Badge variant="gray" size="md">
|
||||
{key}
|
||||
</Badge>
|
||||
{tabsState[id.current]?.formKeysData?.input_keys
|
||||
? Object.keys(
|
||||
tabsState[id.current].formKeysData.input_keys
|
||||
).map((i, k) => (
|
||||
<div className="file-component-accordion-div" key={k}>
|
||||
<AccordionComponent
|
||||
trigger={
|
||||
<div className="file-component-badge-div">
|
||||
<Badge variant="gray" size="md">
|
||||
{i}
|
||||
</Badge>
|
||||
|
||||
<div
|
||||
className="-mb-1"
|
||||
onClick={(event) => {
|
||||
event.stopPropagation();
|
||||
<div
|
||||
className="-mb-1"
|
||||
onClick={(event) => {
|
||||
event.stopPropagation();
|
||||
}}
|
||||
>
|
||||
<ToggleShadComponent
|
||||
enabled={chatKey === i}
|
||||
setEnabled={(value) =>
|
||||
handleOnCheckedChange(value, i)
|
||||
}
|
||||
size="small"
|
||||
disabled={tabsState[
|
||||
id.current
|
||||
].formKeysData.handle_keys.some((t) => t === i)}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
}
|
||||
key={k}
|
||||
keyValue={i}
|
||||
>
|
||||
<div className="file-component-tab-column">
|
||||
{tabsState[id.current].formKeysData.handle_keys.some(
|
||||
(t) => t === i
|
||||
) && (
|
||||
<div className="font-normal text-muted-foreground ">
|
||||
Source: Component
|
||||
</div>
|
||||
)}
|
||||
<Textarea
|
||||
className="custom-scroll"
|
||||
value={
|
||||
tabsState[id.current].formKeysData.input_keys[i]
|
||||
}
|
||||
onChange={(e) => {
|
||||
setTabsState((old) => {
|
||||
let newTabsState = _.cloneDeep(old);
|
||||
newTabsState[
|
||||
id.current
|
||||
].formKeysData.input_keys[i] = e.target.value;
|
||||
return newTabsState;
|
||||
});
|
||||
}}
|
||||
>
|
||||
<ToggleShadComponent
|
||||
enabled={chatKey === key}
|
||||
setEnabled={(value) =>
|
||||
handleOnCheckedChange(value, key)
|
||||
}
|
||||
size="small"
|
||||
disabled={tabsState[
|
||||
id.current
|
||||
].formKeysData.handle_keys.some((t) => t === key)}
|
||||
/>
|
||||
</div>
|
||||
disabled={chatKey === i}
|
||||
placeholder="Enter text..."
|
||||
></Textarea>
|
||||
</div>
|
||||
}
|
||||
key={index}
|
||||
keyValue={key}
|
||||
>
|
||||
<div className="file-component-tab-column">
|
||||
{tabsState[id.current].formKeysData.handle_keys.some(
|
||||
(t) => t === key
|
||||
) && (
|
||||
<div className="font-normal text-muted-foreground ">
|
||||
Source: Component
|
||||
</div>
|
||||
)}
|
||||
<Textarea
|
||||
className="custom-scroll"
|
||||
value={
|
||||
tabsState[id.current].formKeysData.input_keys[key]
|
||||
}
|
||||
onChange={(event) => {
|
||||
setTabsState((old) => {
|
||||
let newTabsState = _.cloneDeep(old);
|
||||
newTabsState[id.current].formKeysData.input_keys[
|
||||
key
|
||||
] = event.target.value;
|
||||
return newTabsState;
|
||||
});
|
||||
}}
|
||||
disabled={chatKey === key}
|
||||
placeholder="Enter text..."
|
||||
></Textarea>
|
||||
</div>
|
||||
</AccordionComponent>
|
||||
</div>
|
||||
)
|
||||
)}
|
||||
{tabsState[id.current].formKeysData.memory_keys.map((key, index) => (
|
||||
<div className="file-component-accordion-div" key={index}>
|
||||
</AccordionComponent>
|
||||
</div>
|
||||
))
|
||||
: null}
|
||||
{tabsState[id.current].formKeysData.memory_keys.map((i, k) => (
|
||||
<div className="file-component-accordion-div" key={k}>
|
||||
<AccordionComponent
|
||||
trigger={
|
||||
<div className="file-component-badge-div">
|
||||
|
|
|
|||
|
|
@ -107,7 +107,10 @@ export function groupByFamily(data, baseClasses, left, flow?: NodeType[]) {
|
|||
template.type &&
|
||||
template.show &&
|
||||
((!excludeTypes.has(template.type) && baseClassesSet.has(template.type)) ||
|
||||
(template.input_types && template.input_types.some((inputType) => baseClassesSet.has(inputType))));
|
||||
(template.input_types &&
|
||||
template.input_types.some((inputType) =>
|
||||
baseClassesSet.has(inputType)
|
||||
)));
|
||||
|
||||
if (flow) {
|
||||
for (const node of flow) {
|
||||
|
|
@ -119,7 +122,9 @@ export function groupByFamily(data, baseClasses, left, flow?: NodeType[]) {
|
|||
Object.values(nodeData.node.template).some(checkBaseClass),
|
||||
hasBaseClassInBaseClasses:
|
||||
foundNode?.hasBaseClassInBaseClasses ||
|
||||
nodeData.node.base_classes.some((baseClass) => baseClassesSet.has(baseClass)),
|
||||
nodeData.node.base_classes.some((baseClass) =>
|
||||
baseClassesSet.has(baseClass)
|
||||
),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
|
@ -248,6 +253,27 @@ export function buildTweakObject(tweak) {
|
|||
return tweakString;
|
||||
}
|
||||
|
||||
/**
|
||||
* Function to get Chat Input Field
|
||||
* @param {FlowType} flow - The current flow.
|
||||
* @param {TabsState} tabsState - The current tabs state.
|
||||
* @returns {string} - The chat input field
|
||||
*/
|
||||
export function getChatInputField(flow: FlowType, tabsState?: TabsState) {
|
||||
let chat_input_field = "text";
|
||||
|
||||
if (
|
||||
tabsState[flow.id] &&
|
||||
tabsState[flow.id].formKeysData &&
|
||||
tabsState[flow.id].formKeysData.input_keys
|
||||
) {
|
||||
chat_input_field = Object.keys(
|
||||
tabsState[flow.id].formKeysData.input_keys
|
||||
)[0];
|
||||
}
|
||||
return chat_input_field;
|
||||
}
|
||||
|
||||
/**
|
||||
* Function to get the python code for the API
|
||||
* @param {string} flowId - The id of the flow
|
||||
|
|
@ -365,6 +391,7 @@ export function getWidgetCode(flow: FlowType, tabsState?: TabsState): string {
|
|||
const flowId = flow.id;
|
||||
const flowName = flow.name;
|
||||
const inputs = buildInputs(tabsState, flow.id);
|
||||
let chat_input_field = getChatInputField(flow, tabsState);
|
||||
|
||||
return `<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
|
||||
|
||||
|
|
@ -377,11 +404,9 @@ chat_input_field: Input key that you want the chat to send the user message with
|
|||
${
|
||||
tabsState[flow.id] && tabsState[flow.id].formKeysData
|
||||
? `chat_inputs='${inputs}'
|
||||
chat_input_field="${
|
||||
Object.keys(tabsState[flow.id].formKeysData.input_keys)[0]
|
||||
}"
|
||||
chat_input_field="${chat_input_field}"
|
||||
`
|
||||
: ""
|
||||
}host_url="http://localhost:7860"
|
||||
}host_url="http://localhost:7860"
|
||||
></langflow-chat>`;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
from contextlib import contextmanager
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import AsyncGenerator
|
||||
from typing import AsyncGenerator, TYPE_CHECKING
|
||||
from langflow.api.v1.flows import get_session
|
||||
|
||||
from langflow.graph.graph.base import Graph
|
||||
|
|
@ -10,6 +10,10 @@ from fastapi.testclient import TestClient
|
|||
from httpx import AsyncClient
|
||||
from sqlmodel import SQLModel, Session, create_engine
|
||||
from sqlmodel.pool import StaticPool
|
||||
from typer.testing import CliRunner
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langflow.services.database.manager import DatabaseManager
|
||||
|
||||
|
||||
def pytest_configure():
|
||||
|
|
@ -114,8 +118,8 @@ def client_fixture(session: Session):
|
|||
app = create_app()
|
||||
|
||||
app.dependency_overrides[get_session] = get_session_override
|
||||
|
||||
yield TestClient(app)
|
||||
with TestClient(app) as client:
|
||||
yield client
|
||||
app.dependency_overrides.clear()
|
||||
|
||||
|
||||
|
|
@ -134,15 +138,20 @@ def client_fixture(session: Session):
|
|||
|
||||
# create a fixture for session_getter above
|
||||
@pytest.fixture(name="session_getter")
|
||||
def session_getter_fixture():
|
||||
def session_getter_fixture(client):
|
||||
engine = create_engine(
|
||||
"sqlite://", connect_args={"check_same_thread": False}, poolclass=StaticPool
|
||||
)
|
||||
SQLModel.metadata.create_all(engine)
|
||||
|
||||
@contextmanager
|
||||
def blank_session_getter():
|
||||
with Session(engine) as session:
|
||||
def blank_session_getter(db_manager: "DatabaseManager"):
|
||||
with Session(db_manager.engine) as session:
|
||||
yield session
|
||||
|
||||
yield blank_session_getter
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def runner():
|
||||
return CliRunner()
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@ from io import StringIO
|
|||
|
||||
import pandas as pd
|
||||
import pytest
|
||||
from langflow.cache.manager import CacheManager
|
||||
from langflow.services.cache.manager import CacheManager
|
||||
from PIL import Image
|
||||
|
||||
|
||||
|
|
|
|||
30
tests/test_cli.py
Normal file
30
tests/test_cli.py
Normal file
|
|
@ -0,0 +1,30 @@
|
|||
from pathlib import Path
|
||||
from tempfile import tempdir
|
||||
from langflow.__main__ import app
|
||||
import pytest
|
||||
|
||||
from langflow.services import utils
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def default_settings():
|
||||
return [
|
||||
"--backend-only",
|
||||
"--no-open-browser",
|
||||
]
|
||||
|
||||
|
||||
def test_components_path(runner, client, default_settings):
|
||||
# Create a foldr in the tmp directory
|
||||
temp_dir = Path(tempdir)
|
||||
# create a "components" folder
|
||||
temp_dir = temp_dir / "components"
|
||||
temp_dir.mkdir(exist_ok=True)
|
||||
|
||||
result = runner.invoke(
|
||||
app,
|
||||
["--components-path", str(temp_dir), *default_settings],
|
||||
)
|
||||
assert result.exit_code == 0, result.stdout
|
||||
settings_manager = utils.get_settings_manager()
|
||||
assert temp_dir in settings_manager.settings.COMPONENTS_PATH
|
||||
|
|
@ -5,7 +5,7 @@ from uuid import uuid4
|
|||
|
||||
|
||||
from fastapi import HTTPException
|
||||
from langflow.database.models.flow import Flow, FlowCreate
|
||||
from langflow.services.database.models.flow import Flow, FlowCreate
|
||||
from langflow.interface.custom.base import CustomComponent
|
||||
from langflow.interface.custom.component import (
|
||||
Component,
|
||||
|
|
|
|||
|
|
@ -5,16 +5,9 @@ from uuid import UUID, uuid4
|
|||
from sqlalchemy.orm import Session
|
||||
|
||||
from fastapi.testclient import TestClient
|
||||
from fastapi.encoders import jsonable_encoder
|
||||
|
||||
from langflow.api.v1.schemas import FlowListCreate
|
||||
from langflow.database.models.flow import Flow, FlowCreate, FlowUpdate
|
||||
|
||||
from langflow.database.models.flow_style import (
|
||||
FlowStyleCreate,
|
||||
FlowStyleRead,
|
||||
FlowStyleUpdate,
|
||||
)
|
||||
from langflow.services.database.models.flow import Flow, FlowCreate, FlowUpdate
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
|
|
@ -56,33 +49,12 @@ def test_read_flows(client: TestClient, json_flow: str):
|
|||
assert response.json()["name"] == flow.name
|
||||
assert response.json()["data"] == flow.data
|
||||
|
||||
flow_style = FlowStyleCreate(color="red", emoji="👍", flow_id=response.json()["id"])
|
||||
response = client.post(
|
||||
"api/v1/flow_styles/", json=jsonable_encoder(flow_style.dict())
|
||||
)
|
||||
assert response.status_code == 200
|
||||
assert response.json()["color"] == flow_style.color
|
||||
assert response.json()["emoji"] == flow_style.emoji
|
||||
assert response.json()["flow_id"] == str(flow_style.flow_id)
|
||||
|
||||
flow = FlowCreate(name="Test Flow", description="description", data=data)
|
||||
response = client.post("api/v1/flows/", json=flow.dict())
|
||||
assert response.status_code == 201
|
||||
assert response.json()["name"] == flow.name
|
||||
assert response.json()["data"] == flow.data
|
||||
|
||||
# Now we need to create FlowStyle objects for each Flow
|
||||
flow_style = FlowStyleCreate(
|
||||
color="green", emoji="👍", flow_id=response.json()["id"]
|
||||
)
|
||||
response = client.post(
|
||||
"api/v1/flow_styles/", json=jsonable_encoder(flow_style.dict())
|
||||
)
|
||||
assert response.status_code == 200
|
||||
assert response.json()["color"] == flow_style.color
|
||||
assert response.json()["emoji"] == flow_style.emoji
|
||||
assert response.json()["flow_id"] == str(flow_style.flow_id)
|
||||
|
||||
response = client.get("api/v1/flows/")
|
||||
assert response.status_code == 200
|
||||
assert len(response.json()) > 0
|
||||
|
|
@ -97,21 +69,10 @@ def test_read_flow(client: TestClient, json_flow: str):
|
|||
# turn it into a UUID
|
||||
flow_id = UUID(flow_id)
|
||||
|
||||
flow_style = FlowStyleCreate(color="green", emoji="👍", flow_id=flow_id)
|
||||
response = client.post(
|
||||
"api/v1/flow_styles/", json=jsonable_encoder(flow_style.dict())
|
||||
)
|
||||
assert response.status_code == 200
|
||||
response_json = response.json()
|
||||
assert response_json["color"] == flow_style.color
|
||||
assert response_json["emoji"] == flow_style.emoji
|
||||
assert response_json["flow_id"] == str(flow_style.flow_id)
|
||||
|
||||
response = client.get(f"api/v1/flows/{flow_id}")
|
||||
assert response.status_code == 200
|
||||
assert response.json()["name"] == flow.name
|
||||
assert response.json()["data"] == flow.data
|
||||
assert response.json()["style"]["color"] == flow_style.color
|
||||
|
||||
|
||||
def test_update_flow(client: TestClient, json_flow: str):
|
||||
|
|
@ -275,66 +236,3 @@ def test_read_empty_flows(client: TestClient):
|
|||
response = client.get("api/v1/flows/")
|
||||
assert response.status_code == 200
|
||||
assert len(response.json()) == 0
|
||||
|
||||
|
||||
def test_create_flow_style(client: TestClient):
|
||||
flow_style = FlowStyleCreate(color="red", emoji="🔴")
|
||||
response = client.post("api/v1/flow_styles/", json=flow_style.dict())
|
||||
assert response.status_code == 200
|
||||
created_flow_style = FlowStyleRead(**response.json())
|
||||
assert created_flow_style.color == flow_style.color
|
||||
assert created_flow_style.emoji == flow_style.emoji
|
||||
|
||||
|
||||
def test_read_flow_styles(client: TestClient):
|
||||
response = client.get("api/v1/flow_styles/")
|
||||
assert response.status_code == 200
|
||||
flow_styles = [FlowStyleRead(**flow_style) for flow_style in response.json()]
|
||||
assert not flow_styles
|
||||
# Create test data
|
||||
flow_style = FlowStyleCreate(color="red", emoji="🔴")
|
||||
response = client.post("api/v1/flow_styles/", json=flow_style.dict())
|
||||
assert response.status_code == 200
|
||||
# Check response data
|
||||
response = client.get("api/v1/flow_styles/")
|
||||
assert response.status_code == 200
|
||||
flow_styles = [FlowStyleRead(**flow_style) for flow_style in response.json()]
|
||||
assert len(flow_styles) == 1
|
||||
assert flow_styles[0].color == flow_style.color
|
||||
assert flow_styles[0].emoji == flow_style.emoji
|
||||
|
||||
|
||||
def test_read_flow_style(client: TestClient):
|
||||
flow_style = FlowStyleCreate(color="red", emoji="🔴")
|
||||
response = client.post("api/v1/flow_styles/", json=flow_style.dict())
|
||||
created_flow_style = FlowStyleRead(**response.json())
|
||||
response = client.get(f"api/v1/flow_styles/{created_flow_style.id}")
|
||||
assert response.status_code == 200
|
||||
read_flow_style = FlowStyleRead(**response.json())
|
||||
assert read_flow_style == created_flow_style
|
||||
|
||||
|
||||
def test_update_flow_style(client: TestClient):
|
||||
flow_style = FlowStyleCreate(color="red", emoji="🔴")
|
||||
response = client.post("api/v1/flow_styles/", json=flow_style.dict())
|
||||
created_flow_style = FlowStyleRead(**response.json())
|
||||
to_update_flow_style = FlowStyleUpdate(color="blue")
|
||||
response = client.patch(
|
||||
f"api/v1/flow_styles/{created_flow_style.id}", json=to_update_flow_style.dict()
|
||||
)
|
||||
assert response.status_code == 200
|
||||
updated_flow_style = FlowStyleRead(**response.json())
|
||||
assert updated_flow_style.color == "blue"
|
||||
assert updated_flow_style.emoji == flow_style.emoji
|
||||
|
||||
|
||||
def test_delete_flow_style(client: TestClient):
|
||||
flow_style = FlowStyleCreate(color="red", emoji="🔴")
|
||||
response = client.post("api/v1/flow_styles/", json=flow_style.dict())
|
||||
created_flow_style = FlowStyleRead(**response.json())
|
||||
response = client.delete(f"api/v1/flow_styles/{created_flow_style.id}")
|
||||
assert response.status_code == 200
|
||||
assert response.json() == {"message": "FlowStyle deleted successfully"}
|
||||
|
||||
response = client.get(f"api/v1/flow_styles/{created_flow_style.id}")
|
||||
assert response.status_code == 404
|
||||
|
|
|
|||
|
|
@ -1,13 +1,14 @@
|
|||
from fastapi.testclient import TestClient
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
|
||||
def test_llms_settings(client: TestClient):
|
||||
settings_manager = get_settings_manager()
|
||||
response = client.get("api/v1/all")
|
||||
assert response.status_code == 200
|
||||
json_response = response.json()
|
||||
llms = json_response["llms"]
|
||||
assert set(llms.keys()) == set(settings.LLMS)
|
||||
assert set(llms.keys()) == set(settings_manager.settings.LLMS)
|
||||
|
||||
|
||||
# def test_hugging_face_hub(client: TestClient):
|
||||
|
|
|
|||
|
|
@ -1,13 +1,14 @@
|
|||
from fastapi.testclient import TestClient
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
|
||||
def test_prompts_settings(client: TestClient):
|
||||
settings_manager = get_settings_manager()
|
||||
response = client.get("api/v1/all")
|
||||
assert response.status_code == 200
|
||||
json_response = response.json()
|
||||
prompts = json_response["prompts"]
|
||||
assert set(prompts.keys()) == set(settings.PROMPTS)
|
||||
assert set(prompts.keys()) == set(settings_manager.settings.PROMPTS)
|
||||
|
||||
|
||||
def test_prompt_template(client: TestClient):
|
||||
|
|
|
|||
|
|
@ -1,12 +1,13 @@
|
|||
from fastapi.testclient import TestClient
|
||||
from langflow.settings import settings
|
||||
from langflow.services.utils import get_settings_manager
|
||||
|
||||
|
||||
# check that all agents are in settings.agents
|
||||
# are in json_response["agents"]
|
||||
def test_vectorstores_settings(client: TestClient):
|
||||
settings_manager = get_settings_manager()
|
||||
response = client.get("api/v1/all")
|
||||
assert response.status_code == 200
|
||||
json_response = response.json()
|
||||
vectorstores = json_response["vectorstores"]
|
||||
assert set(vectorstores.keys()) == set(settings.VECTORSTORES)
|
||||
assert set(vectorstores.keys()) == set(settings_manager.settings.VECTORSTORES)
|
||||
|
|
|
|||
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