Adds GET, POST and JSON Document utility components (#806)

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Gabriel Luiz Freitas Almeida 2023-08-23 21:03:11 +00:00 • committed by GitHub
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34 changed files with 827 additions and 341 deletions

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@ -1,32 +1,33 @@
// For format details, see https://aka.ms/devcontainer.json. For config options, see the // For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/universal // README at: https://github.com/devcontainers/templates/tree/main/src/universal
{ {
"name": "LangChain Demo Container", "name": "Langflow Demo Container",
// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
"image": "mcr.microsoft.com/devcontainers/python:3.10", "image": "mcr.microsoft.com/devcontainers/python:3.10",
"features": { "features": {
"ghcr.io/devcontainers/features/aws-cli:1": {}, "ghcr.io/devcontainers/features/aws-cli:1": {},
"ghcr.io/devcontainers/features/docker-in-docker": {}, "ghcr.io/devcontainers/features/docker-in-docker": {},
"ghcr.io/devcontainers/features/node": {} "ghcr.io/devcontainers/features/node": {}
}, },
"customizations": { "customizations": {
"vscode": { "vscode": {
"extensions": [ "extensions": [
"actboy168.tasks", "actboy168.tasks",
"GitHub.copilot", "GitHub.copilot",
"ms-python.python", "ms-python.python",
"eamodio.gitlens" "eamodio.gitlens",
] "GitHub.vscode-pull-request-github"
} ]
}, }
// Features to add to the dev container. More info: https://containers.dev/features. },
// "features": {}, // Features to add to the dev container. More info: https://containers.dev/features.
// Use 'forwardPorts' to make a list of ports inside the container available locally. // "features": {},
// "forwardPorts": [], // Use 'forwardPorts' to make a list of ports inside the container available locally.
// Use 'postCreateCommand' to run commands after the container is created. // "forwardPorts": [],
"postCreateCommand": "pipx install 'langflow>=0.0.33' && langflow --host 0.0.0.0" // Use 'postCreateCommand' to run commands after the container is created.
// Configure tool-specific properties. "postCreateCommand": "pipx install 'langflow>=0.0.33' && langflow --host 0.0.0.0"
// "customizations": {}, // Configure tool-specific properties.
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // "customizations": {},
// "remoteUser": "root" // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
} // "remoteUser": "root"
}

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@ -1,35 +1,41 @@
// For format details, see https://aka.ms/devcontainer.json. For config options, see the // For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/universal // README at: https://github.com/devcontainers/templates/tree/main/src/universal
{ {
"name": "LangChain Dev Container", "name": "Langflow Dev Container",
// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
"image": "mcr.microsoft.com/devcontainers/universal:2-linux", "image": "mcr.microsoft.com/devcontainers/python:1-3.10-bullseye",
"features": {
"ghcr.io/devcontainers/features/aws-cli:1": {},
"ghcr.io/devcontainers/features/docker-in-docker": {}
},
"customizations": {
"vscode": {"extensions": [
"actboy168.tasks",
"GitHub.copilot",
"ms-python.python",
"sourcery.sourcery",
"eamodio.gitlens"
]}
},
// Features to add to the dev container. More info: https://containers.dev/features. // Features to add to the dev container. More info: https://containers.dev/features.
// "features": {}, "features": {
"ghcr.io/devcontainers/features/node": {},
"ghcr.io/devcontainers-contrib/features/poetry": {}
},
// Use 'forwardPorts' to make a list of ports inside the container available locally. // Use 'forwardPorts' to make a list of ports inside the container available locally.
// "forwardPorts": [], // "forwardPorts": [],
// Use 'postCreateCommand' to run commands after the container is created. // Use 'postCreateCommand' to run commands after the container is created.
"postCreateCommand": "poetry install" "postCreateCommand": "make install_frontend && make install_backend",
// Configure tool-specific properties. "containerEnv": {
// "customizations": {}, "POETRY_VIRTUALENVS_IN_PROJECT": "true"
},
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // Configure tool-specific properties.
// "remoteUser": "root" "customizations": {
"vscode": {
"extensions": [
"actboy168.tasks",
"GitHub.copilot",
"ms-python.python",
"sourcery.sourcery",
"eamodio.gitlens",
"ms-vscode.makefile-tools",
"GitHub.vscode-pull-request-github"
]
}
}
// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "root"
} }

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@ -1,10 +1,76 @@
import Admonition from '@theme/Admonition'; import Admonition from "@theme/Admonition";
# Utilities # Utilities
<Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION"> <Admonition type="caution" icon="🚧" title="ZONE UNDER CONSTRUCTION">
<p> <p>
We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 We appreciate your understanding as we polish our documentation – it may
</p> contain some rough edges. Share your feedback or report issues to help us
improve! 🛠️📝
</p>
</Admonition> </Admonition>
Utilities are a set of actions that can be used to perform common tasks in a flow. They are available in the **Utilities** section in the sidebar.
---
### GET Request
Make a GET request to the given URL.
**Params**
- **URL:** The URL to make the request to. There can be more than one URL, in which case the request will be made to each URL in order.
- **Headers:** A dictionary of headers to send with the request.
**Output**
- **List of Documents:** A list of Documents containing the JSON response from each request.
---
### POST Request
Make a POST request to the given URL.
**Params**
- **URL:** The URL to make the request to.
- **Headers:** A dictionary of headers to send with the request.
- **Document:** The Document containing a JSON object to send with the request.
**Output**
- **Document:** The JSON response from the request as a Document.
---
### Update Request
Make a PATCH or PUT request to the given URL.
**Params**
- **URL:** The URL to make the request to.
- **Headers:** A dictionary of headers to send with the request.
- **Document:** The Document containing a JSON object to send with the request.
- **Method:** The HTTP method to use for the request. Can be either `PATCH` or `PUT`.
**Output**
- **Document:** The JSON response from the request as a Document.
---
### JSON Document Builder
Build a Document containing a JSON object using a key and another Document page content.
**Params**
- **Key:** The key to use for the JSON object.
- **Document:** The Document page to use for the JSON object.
**Output**
- **List of Documents:** A list containing the Document with the JSON object.

71
docs/package-lock.json generated
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@ -16,7 +16,7 @@
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"@docusaurus/theme-search-algolia": "^2.4.1", "@docusaurus/theme-search-algolia": "^2.4.1",
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"@pbe/react-yandex-maps": "^1.2.4", "@pbe/react-yandex-maps": "^1.2.4",
"@prismicio/client": "^7.0.1", "@prismicio/client": "^7.0.1",
"@uiball/loaders": "^1.2.6", "@uiball/loaders": "^1.2.6",
@ -3250,10 +3250,11 @@
} }
}, },
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@ -9351,6 +9352,33 @@
"safe-buffer": "~5.1.0" "safe-buffer": "~5.1.0"
} }
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@ -9394,6 +9422,20 @@
"node": ">= 12" "node": ">= 12"
} }
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"dependencies": {
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"peerDependencies": {
"react": "0.14 || 15 || 16 || 17 || 18"
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"resolved": "https://registry.npmjs.org/html-tags/-/html-tags-3.3.1.tgz", "resolved": "https://registry.npmjs.org/html-tags/-/html-tags-3.3.1.tgz",
@ -15324,6 +15366,11 @@
"react": ">=16.6.0" "react": ">=16.6.0"
} }
}, },
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@ -22,7 +22,7 @@
"@docusaurus/theme-classic": "^2.4.1", "@docusaurus/theme-classic": "^2.4.1",
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@ -69,4 +69,4 @@
"engines": { "engines": {
"node": ">=16.14" "node": ">=16.14"
} }
} }

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@ -42,6 +42,7 @@ module.exports = {
"components/text-splitters", "components/text-splitters",
"components/toolkits", "components/toolkits",
"components/tools", "components/tools",
"components/utilities",
"components/vector-stores", "components/vector-stores",
"components/wrappers", "components/wrappers",
], ],

426
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@ -650,81 +650,80 @@ click = "*"
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name = "clickhouse-connect" name = "clickhouse-connect"
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lz4 = "*" lz4 = "*"
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python-versions = "*" python-versions = "*"
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[package.dependencies] [package.dependencies]
filelock = "*" filelock = "*"
huggingface-hub = ">=0.14.1,<1.0" huggingface-hub = ">=0.15.1,<1.0"
numpy = ">=1.17" numpy = ">=1.17"
packaging = ">=20.0" packaging = ">=20.0"
pyyaml = ">=5.1" pyyaml = ">=5.1"
@ -6739,18 +6745,18 @@ tqdm = ">=4.27"
[package.extras] [package.extras]
accelerate = ["accelerate (>=0.20.3)"] accelerate = ["accelerate (>=0.20.3)"]
agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.9,!=1.12.0)"] agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.9,!=1.12.0)"]
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codecarbon = ["codecarbon (==1.2.0)"] codecarbon = ["codecarbon (==1.2.0)"]
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dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.4.13)", "jaxlib (>=0.1.65,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"] dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.4.13)", "jaxlib (>=0.1.65,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"] docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
docs-specific = ["hf-doc-builder"] docs-specific = ["hf-doc-builder"]
fairscale = ["fairscale (>0.3)"] fairscale = ["fairscale (>0.3)"]
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.2.8,!=0.3.2,<=0.4.13)", "jaxlib (>=0.1.65,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
ftfy = ["ftfy"] ftfy = ["ftfy"]
integrations = ["optuna", "ray[tune]", "sigopt"] integrations = ["optuna", "ray[tune]", "sigopt"]
@ -6778,7 +6784,7 @@ tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
torch = ["accelerate (>=0.20.3)", "torch (>=1.9,!=1.12.0)"] torch = ["accelerate (>=0.20.3)", "torch (>=1.9,!=1.12.0)"]
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
torch-vision = ["Pillow (<10.0.0)", "torchvision"] torch-vision = ["Pillow (<10.0.0)", "torchvision"]
torchhub = ["filelock", "huggingface-hub (>=0.14.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"] torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"]
video = ["av (==9.2.0)", "decord (==0.6.0)"] video = ["av (==9.2.0)", "decord (==0.6.0)"]
vision = ["Pillow (<10.0.0)"] vision = ["Pillow (<10.0.0)"]
@ -7158,13 +7164,13 @@ files = [
[[package]] [[package]]
name = "weaviate-client" name = "weaviate-client"
version = "3.22.1" version = "3.23.0"
description = "A python native Weaviate client" description = "A python native Weaviate client"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
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{file = "weaviate_client-3.22.1-py3-none-any.whl", hash = "sha256:01843a4899a227300e570409e77628e9d1b28476313f94943c37aee3f75112e1"}, {file = "weaviate_client-3.23.0-py3-none-any.whl", hash = "sha256:3d3bb75c1d96b2b71e213c5eb885ae3e3f42e4304955383c467d100187d9ff8e"},
] ]
[package.dependencies] [package.dependencies]
@ -7189,17 +7195,17 @@ files = [
[[package]] [[package]]
name = "websocket-client" name = "websocket-client"
version = "1.6.1" version = "1.6.2"
description = "WebSocket client for Python with low level API options" description = "WebSocket client for Python with low level API options"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.8"
files = [ files = [
{file = "websocket-client-1.6.1.tar.gz", hash = "sha256:c951af98631d24f8df89ab1019fc365f2227c0892f12fd150e935607c79dd0dd"}, {file = "websocket-client-1.6.2.tar.gz", hash = "sha256:53e95c826bf800c4c465f50093a8c4ff091c7327023b10bfaff40cf1ef170eaa"},
{file = "websocket_client-1.6.1-py3-none-any.whl", hash = "sha256:f1f9f2ad5291f0225a49efad77abf9e700b6fef553900623060dad6e26503b9d"}, {file = "websocket_client-1.6.2-py3-none-any.whl", hash = "sha256:ce54f419dfae71f4bdba69ebe65bf7f0a93fe71bc009ad3a010aacc3eebad537"},
] ]
[package.extras] [package.extras]
docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"] docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
optional = ["python-socks", "wsaccel"] optional = ["python-socks", "wsaccel"]
test = ["websockets"] test = ["websockets"]
@ -7283,13 +7289,13 @@ files = [
[[package]] [[package]]
name = "wheel" name = "wheel"
version = "0.41.1" version = "0.41.2"
description = "A built-package format for Python" description = "A built-package format for Python"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "wheel-0.41.1-py3-none-any.whl", hash = "sha256:473219bd4cbedc62cea0cb309089b593e47c15c4a2531015f94e4e3b9a0f6981"}, {file = "wheel-0.41.2-py3-none-any.whl", hash = "sha256:75909db2664838d015e3d9139004ee16711748a52c8f336b52882266540215d8"},
{file = "wheel-0.41.1.tar.gz", hash = "sha256:12b911f083e876e10c595779709f8a88a59f45aacc646492a67fe9ef796c1b47"}, {file = "wheel-0.41.2.tar.gz", hash = "sha256:0c5ac5ff2afb79ac23ab82bab027a0be7b5dbcf2e54dc50efe4bf507de1f7985"},
] ]
[package.extras] [package.extras]

View file

@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "langflow" name = "langflow"
version = "0.4.12" version = "0.4.13"
description = "A Python package with a built-in web application" description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"] authors = ["Logspace <contact@logspace.ai>"]
maintainers = [ maintainers = [

View file

@ -104,14 +104,9 @@ async def stream_build(flow_id: str):
return return
logger.debug("Building langchain object") logger.debug("Building langchain object")
try:
# Some error could happen when building the graph # Some error could happen when building the graph
graph = Graph.from_payload(graph_data) graph = Graph.from_payload(graph_data)
except Exception as exc:
logger.exception(exc)
error_message = str(exc)
yield str(StreamData(event="error", data={"error": error_message}))
return
number_of_nodes = len(graph.nodes) number_of_nodes = len(graph.nodes)
flow_data_store[flow_id]["status"] = BuildStatus.IN_PROGRESS flow_data_store[flow_id]["status"] = BuildStatus.IN_PROGRESS
@ -126,7 +121,9 @@ async def stream_build(flow_id: str):
params = vertex._built_object_repr() params = vertex._built_object_repr()
valid = True valid = True
logger.debug(f"Building node {str(vertex.vertex_type)}") logger.debug(f"Building node {str(vertex.vertex_type)}")
logger.debug(f"Output: {params}") logger.debug(
f"Output: {params[:100]}{'...' if len(params) > 100 else ''}"
)
if vertex.artifacts: if vertex.artifacts:
# The artifacts will be prompt variables # The artifacts will be prompt variables
# passed to build_input_keys_response # passed to build_input_keys_response

View file

@ -56,7 +56,9 @@ def get_all():
logger.info(f"Loading {len(custom_component_dicts)} category(ies)") logger.info(f"Loading {len(custom_component_dicts)} category(ies)")
for custom_component_dict in custom_component_dicts: for custom_component_dict in custom_component_dicts:
logger.debug(custom_component_dict) logger.debug(
{key: len(value) for key, value in custom_component_dict.items()}
)
custom_components_from_file = merge_nested_dicts_with_renaming( custom_components_from_file = merge_nested_dicts_with_renaming(
custom_components_from_file, custom_component_dict custom_components_from_file, custom_component_dict
) )

View file

@ -1,5 +1,6 @@
from typing import List from typing import List
from uuid import UUID from uuid import UUID
from fastapi.encoders import jsonable_encoder
from langflow.settings import settings from langflow.settings import settings
from langflow.api.utils import remove_api_keys from langflow.api.utils import remove_api_keys
from langflow.api.v1.schemas import FlowListCreate, FlowListRead from langflow.api.v1.schemas import FlowListCreate, FlowListRead
@ -11,12 +12,11 @@ from langflow.database.models.flow import (
FlowUpdate, FlowUpdate,
) )
from langflow.database.base import get_session from langflow.database.base import get_session
import orjson
from sqlmodel import Session, select from sqlmodel import Session, select
from fastapi import APIRouter, Depends, HTTPException from fastapi import APIRouter, Depends, HTTPException
from fastapi.encoders import jsonable_encoder
from fastapi import File, UploadFile from fastapi import File, UploadFile
import json
# build router # build router
router = APIRouter(prefix="/flows", tags=["Flows"]) router = APIRouter(prefix="/flows", tags=["Flows"])
@ -105,7 +105,7 @@ async def upload_file(
): ):
"""Upload flows from a file.""" """Upload flows from a file."""
contents = await file.read() contents = await file.read()
data = json.loads(contents) data = orjson.loads(contents)
if "flows" in data: if "flows" in data:
flow_list = FlowListCreate(**data) flow_list = FlowListCreate(**data)
else: else:

View file

@ -1,9 +1,9 @@
from enum import Enum from enum import Enum
from pathlib import Path from pathlib import Path
from typing import Any, Dict, List, Optional, Union from typing import Any, Dict, List, Optional, Union
from langflow.database.models.base import orjson_dumps
from langflow.database.models.flow import FlowCreate, FlowRead from langflow.database.models.flow import FlowCreate, FlowRead
from pydantic import BaseModel, Field, validator from pydantic import BaseModel, Field, validator
import json
class BuildStatus(Enum): class BuildStatus(Enum):
@ -115,7 +115,9 @@ class StreamData(BaseModel):
data: dict data: dict
def __str__(self) -> str: def __str__(self) -> str:
return f"event: {self.event}\ndata: {json.dumps(self.data)}\n\n" return (
f"event: {self.event}\ndata: {orjson_dumps(self.data, indent_2=False)}\n\n"
)
class CustomComponentCode(BaseModel): class CustomComponentCode(BaseModel):

View file

@ -2,13 +2,13 @@ import base64
import contextlib import contextlib
import functools import functools
import hashlib import hashlib
import json
import os import os
import tempfile import tempfile
from collections import OrderedDict from collections import OrderedDict
from pathlib import Path from pathlib import Path
from typing import Any, Dict from typing import Any, Dict
from appdirs import user_cache_dir from appdirs import user_cache_dir
from langflow.database.models.base import orjson_dumps
CACHE: Dict[str, Any] = {} CACHE: Dict[str, Any] = {}
@ -76,7 +76,8 @@ def clear_old_cache_files(max_cache_size: int = 3):
def compute_dict_hash(graph_data): def compute_dict_hash(graph_data):
graph_data = filter_json(graph_data) graph_data = filter_json(graph_data)
cleaned_graph_json = json.dumps(graph_data, sort_keys=True) cleaned_graph_json = orjson_dumps(graph_data, sort_keys=True)
return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest() return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest()

View file

@ -9,10 +9,10 @@ from langflow.utils.logger import logger
import asyncio import asyncio
import json
from typing import Any, Dict, List from typing import Any, Dict, List
from langflow.cache.flow import InMemoryCache from langflow.cache.flow import InMemoryCache
import orjson
class ChatHistory(Subject): class ChatHistory(Subject):
@ -186,7 +186,7 @@ class ChatManager:
while True: while True:
json_payload = await websocket.receive_json() json_payload = await websocket.receive_json()
try: try:
payload = json.loads(json_payload) payload = orjson.loads(json_payload)
except TypeError: except TypeError:
payload = json_payload payload = json_payload
if "clear_history" in payload: if "clear_history" in payload:

View file

@ -0,0 +1,76 @@
from langflow import CustomComponent
from langchain.schema import Document
from langflow.database.models.base import orjson_dumps
import requests
from typing import Optional
class GetRequest(CustomComponent):
display_name: str = "GET Request"
description: str = "Make a GET request to the given URL."
output_types: list[str] = ["Document"]
documentation: str = "https://docs.langflow.org/components/utilities#get-request"
beta = True
field_config = {
"url": {
"display_name": "URL",
"info": "The URL to make the request to",
"is_list": True,
},
"headers": {
"display_name": "Headers",
"field_type": "code",
"info": "The headers to send with the request.",
},
"code": {"show": False},
"timeout": {
"display_name": "Timeout",
"field_type": "int",
"info": "The timeout to use for the request.",
"value": 5,
},
}
def get_document(
self, session: requests.Session, url: str, headers: Optional[dict], timeout: int
) -> Document:
try:
response = session.get(url, headers=headers, timeout=int(timeout))
try:
response_json = response.json()
result = orjson_dumps(response_json, indent_2=False)
except Exception:
result = response.text
self.repr_value = result
return Document(
page_content=result,
metadata={
"source": url,
"headers": headers,
"status_code": response.status_code,
},
)
except requests.Timeout:
return Document(
page_content="Request Timed Out",
metadata={"source": url, "headers": headers, "status_code": 408},
)
except Exception as exc:
return Document(
page_content=str(exc),
metadata={"source": url, "headers": headers, "status_code": 500},
)
def build(
self,
url: str,
headers: Optional[dict] = None,
timeout: int = 5,
) -> list[Document]:
if headers is None:
headers = {}
urls = url if isinstance(url, list) else [url]
with requests.Session() as session:
documents = [self.get_document(session, u, headers, timeout) for u in urls]
self.repr_value = documents
return documents

View file

@ -0,0 +1,55 @@
### JSON Document Builder
# Build a Document containing a JSON object using a key and another Document page content.
# **Params**
# - **Key:** The key to use for the JSON object.
# - **Document:** The Document page to use for the JSON object.
# **Output**
# - **Document:** The Document containing the JSON object.
from langflow import CustomComponent
from langchain.schema import Document
from langflow.database.models.base import orjson_dumps
class JSONDocumentBuilder(CustomComponent):
display_name: str = "JSON Document Builder"
description: str = "Build a Document containing a JSON object using a key and another Document page content."
output_types: list[str] = ["Document"]
beta = True
documentation: str = (
"https://docs.langflow.org/components/utilities#json-document-builder"
)
field_config = {
"key": {"display_name": "Key"},
"document": {"display_name": "Document"},
}
def build(
self,
key: str,
document: Document,
) -> Document:
documents = None
if isinstance(document, list):
documents = [
Document(
page_content=orjson_dumps({key: doc.page_content}, indent_2=False)
)
for doc in document
]
elif isinstance(document, Document):
documents = Document(
page_content=orjson_dumps({key: document.page_content}, indent_2=False)
)
else:
raise TypeError(
f"Expected Document or list of Documents, got {type(document)}"
)
self.repr_value = documents
return documents

View file

@ -0,0 +1,81 @@
from langflow import CustomComponent
from langchain.schema import Document
from langflow.database.models.base import orjson_dumps
import requests
from typing import Optional
class PostRequest(CustomComponent):
display_name: str = "POST Request"
description: str = "Make a POST request to the given URL."
output_types: list[str] = ["Document"]
documentation: str = "https://docs.langflow.org/components/utilities#post-request"
beta = True
field_config = {
"url": {"display_name": "URL", "info": "The URL to make the request to."},
"headers": {
"display_name": "Headers",
"field_type": "code",
"info": "The headers to send with the request.",
},
"code": {"show": False},
"document": {"display_name": "Document"},
}
def post_document(
self,
session: requests.Session,
document: Document,
url: str,
headers: Optional[dict] = None,
) -> Document:
try:
response = session.post(url, headers=headers, data=document.page_content)
try:
response_json = response.json()
result = orjson_dumps(response_json, indent_2=False)
except Exception:
result = response.text
self.repr_value = result
return Document(
page_content=result,
metadata={
"source": url,
"headers": headers,
"status_code": response,
},
)
except Exception as exc:
return Document(
page_content=str(exc),
metadata={
"source": url,
"headers": headers,
"status_code": 500,
},
)
def build(
self,
document: Document,
url: str,
headers: Optional[dict] = None,
) -> list[Document]:
if headers is None:
headers = {}
if not isinstance(document, list) and isinstance(document, Document):
documents: list[Document] = [document]
elif isinstance(document, list) and all(
isinstance(doc, Document) for doc in document
):
documents = document
else:
raise ValueError("document must be a Document or a list of Documents")
with requests.Session() as session:
documents = [
self.post_document(session, doc, url, headers) for doc in documents
]
self.repr_value = documents
return documents

View file

@ -0,0 +1,94 @@
from typing import List, Optional
import requests
from langflow import CustomComponent
from langchain.schema import Document
from langflow.database.models.base import orjson_dumps
class UpdateRequest(CustomComponent):
display_name: str = "Update Request"
description: str = "Make a PATCH request to the given URL."
output_types: list[str] = ["Document"]
documentation: str = "https://docs.langflow.org/components/utilities#update-request"
beta = True
field_config = {
"url": {"display_name": "URL", "info": "The URL to make the request to."},
"headers": {
"display_name": "Headers",
"field_type": "code",
"info": "The headers to send with the request.",
},
"code": {"show": False},
"document": {"display_name": "Document"},
"method": {
"display_name": "Method",
"field_type": "str",
"info": "The HTTP method to use.",
"options": ["PATCH", "PUT"],
"value": "PATCH",
},
}
def update_document(
self,
session: requests.Session,
document: Document,
url: str,
headers: Optional[dict] = None,
method: str = "PATCH",
) -> Document:
try:
if method == "PATCH":
response = session.patch(
url, headers=headers, data=document.page_content
)
elif method == "PUT":
response = session.put(url, headers=headers, data=document.page_content)
else:
raise ValueError(f"Unsupported method: {method}")
try:
response_json = response.json()
result = orjson_dumps(response_json, indent_2=False)
except Exception:
result = response.text
self.repr_value = result
return Document(
page_content=result,
metadata={
"source": url,
"headers": headers,
"status_code": response.status_code,
},
)
except Exception as exc:
return Document(
page_content=str(exc),
metadata={"source": url, "headers": headers, "status_code": 500},
)
def build(
self,
method: str,
document: Document,
url: str,
headers: Optional[dict] = None,
) -> List[Document]:
if headers is None:
headers = {}
if not isinstance(document, list) and isinstance(document, Document):
documents: list[Document] = [document]
elif isinstance(document, list) and all(
isinstance(doc, Document) for doc in document
):
documents = document
else:
raise ValueError("document must be a Document or a list of Documents")
with requests.Session() as session:
documents = [
self.update_document(session, doc, url, headers, method)
for doc in documents
]
self.repr_value = documents
return documents

View file

@ -2,9 +2,20 @@ from sqlmodel import SQLModel
import orjson import orjson
def orjson_dumps(v, *, default): def orjson_dumps(v, *, default=None, sort_keys=False, indent_2=True):
# orjson.dumps returns bytes, to match standard json.dumps we need to decode option = orjson.OPT_SORT_KEYS if sort_keys else None
return orjson.dumps(v, default=default).decode() if indent_2:
# orjson.dumps returns bytes, to match standard json.dumps we need to decode
# option
# To modify how data is serialized, specify option. Each option is an integer constant in orjson.
# To specify multiple options, mask them together, e.g., option=orjson.OPT_STRICT_INTEGER | orjson.OPT_NAIVE_UTC
if option is None:
option = orjson.OPT_INDENT_2
else:
option |= orjson.OPT_INDENT_2
if default is None:
return orjson.dumps(v, option=option).decode()
return orjson.dumps(v, default=default, option=option).decode()
class SQLModelSerializable(SQLModel): class SQLModelSerializable(SQLModel):

View file

@ -40,7 +40,6 @@ class Edge:
if no_matched_type: if no_matched_type:
logger.debug(self.source_types) logger.debug(self.source_types)
logger.debug(self.target_reqs) logger.debug(self.target_reqs)
if no_matched_type:
raise ValueError( raise ValueError(
f"Edge between {self.source.vertex_type} and {self.target.vertex_type} " f"Edge between {self.source.vertex_type} and {self.target.vertex_type} "
f"has no matched type" f"has no matched type"

View file

@ -3,6 +3,7 @@ from fastapi import HTTPException
from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES
from langflow.interface.custom.component import Component from langflow.interface.custom.component import Component
from langflow.interface.custom.directory_reader import DirectoryReader from langflow.interface.custom.directory_reader import DirectoryReader
from langflow.interface.custom.utils import extract_inner_type
from langflow.utils import validate from langflow.utils import validate
@ -19,7 +20,7 @@ class CustomComponent(Component, extra=Extra.allow):
function_entrypoint_name = "build" function_entrypoint_name = "build"
function: Optional[Callable] = None function: Optional[Callable] = None
return_type_valid_list = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys()) return_type_valid_list = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())
repr_value: Optional[str] = "" repr_value: Optional[Any] = ""
def __init__(self, **data): def __init__(self, **data):
super().__init__(**data) super().__init__(**data)
@ -122,6 +123,10 @@ class CustomComponent(Component, extra=Extra.allow):
return_type = build_method["return_type"] return_type = build_method["return_type"]
if not return_type: if not return_type:
return [] return []
# If list or List is in the return type, then we remove it and return the inner type
if return_type.startswith("list") or return_type.startswith("List"):
return_type = extract_inner_type(return_type)
# If the return type is not a Union, then we just return it as a list # If the return type is not a Union, then we just return it as a list
if "Union" not in return_type: if "Union" not in return_type:
return [return_type] if return_type in self.return_type_valid_list else [] return [return_type] if return_type in self.return_type_valid_list else []

View file

@ -77,7 +77,7 @@ class DirectoryReader:
] ]
filtered = [menu for menu in items if menu["components"]] filtered = [menu for menu in items if menu["components"]]
logger.debug( logger.debug(
f'Filtered components {"with errors" if with_errors else ""}: {filtered}' f'Filtered components {"with errors" if with_errors else ""}: {len(filtered)}'
) )
return {"menu": filtered} return {"menu": filtered}

View file

@ -0,0 +1,10 @@
import re
def extract_inner_type(return_type: str) -> str:
"""
Extracts the inner type from a type hint that is a list.
"""
if match := re.match(r"list\[(.*)\]", return_type, re.IGNORECASE):
return match[1]
return return_type

View file

@ -1,4 +1,5 @@
import json import json
import orjson
from typing import Any, Callable, Dict, Sequence, Type from typing import Any, Callable, Dict, Sequence, Type
from langchain.agents import agent as agent_module from langchain.agents import agent as agent_module
@ -66,7 +67,7 @@ def convert_kwargs(params):
for key in kwargs_keys: for key in kwargs_keys:
if isinstance(params[key], str): if isinstance(params[key], str):
try: try:
params[key] = json.loads(params[key]) params[key] = orjson.loads(params[key])
except json.JSONDecodeError: except json.JSONDecodeError:
# if the string is not a valid json string, we will # if the string is not a valid json string, we will
# remove the key from the params # remove the key from the params
@ -306,7 +307,7 @@ def instantiate_documentloader(class_object: Type[BaseLoader], params: Dict):
metadata = params.pop("metadata", None) metadata = params.pop("metadata", None)
if metadata and isinstance(metadata, str): if metadata and isinstance(metadata, str):
try: try:
metadata = json.loads(metadata) metadata = orjson.loads(metadata)
except json.JSONDecodeError as exc: except json.JSONDecodeError as exc:
raise ValueError( raise ValueError(
"The metadata you provided is not a valid JSON string." "The metadata you provided is not a valid JSON string."

View file

@ -1,5 +1,7 @@
import contextlib import contextlib
import json import json
from langflow.database.models.base import orjson_dumps
import orjson
from typing import Any, Dict, List from typing import Any, Dict, List
from langchain.agents import ZeroShotAgent from langchain.agents import ZeroShotAgent
@ -95,9 +97,11 @@ def format_content(variable):
def try_to_load_json(content): def try_to_load_json(content):
with contextlib.suppress(json.JSONDecodeError): with contextlib.suppress(json.JSONDecodeError):
content = json.loads(content) content = orjson.loads(content)
if isinstance(content, list): if isinstance(content, list):
content = ",".join([str(item) for item in content]) content = ",".join([str(item) for item in content])
else:
content = orjson_dumps(content)
return content return content

View file

@ -1,4 +1,3 @@
import json
from typing import Any, Callable, Dict, Type from typing import Any, Callable, Dict, Type
from langchain.vectorstores import ( from langchain.vectorstores import (
Pinecone, Pinecone,
@ -12,6 +11,8 @@ from langchain.vectorstores import (
import os import os
import orjson
def docs_in_params(params: dict) -> bool: def docs_in_params(params: dict) -> bool:
"""Check if params has documents OR texts and one of them is not an empty list, """Check if params has documents OR texts and one of them is not an empty list,
@ -92,7 +93,7 @@ def initialize_weaviate(class_object: Type[Weaviate], params: dict):
import weaviate # type: ignore import weaviate # type: ignore
client_kwargs_json = params.get("client_kwargs", "{}") client_kwargs_json = params.get("client_kwargs", "{}")
client_kwargs = json.loads(client_kwargs_json) client_kwargs = orjson.loads(client_kwargs_json)
client_params = { client_params = {
"url": params.get("weaviate_url"), "url": params.get("weaviate_url"),
} }

View file

@ -190,17 +190,16 @@ def build_frontend_node(custom_component: CustomComponent):
def update_attributes(frontend_node, template_config): def update_attributes(frontend_node, template_config):
"""Update the display name and description of a frontend node""" """Update the display name and description of a frontend node"""
if "display_name" in template_config: attributes = [
frontend_node["display_name"] = template_config["display_name"] "display_name",
"description",
if "description" in template_config: "beta",
frontend_node["description"] = template_config["description"] "documentation",
"output_types",
if "beta" in template_config: ]
frontend_node["beta"] = template_config["beta"] for attribute in attributes:
if attribute in template_config:
if "documentation" in template_config: frontend_node[attribute] = template_config[attribute]
frontend_node["documentation"] = template_config["documentation"]
def build_field_config(custom_component: CustomComponent): def build_field_config(custom_component: CustomComponent):
@ -338,7 +337,9 @@ def build_valid_menu(valid_components):
valid_menu[menu_name] = {} valid_menu[menu_name] = {}
for component in menu_item["components"]: for component in menu_item["components"]:
logger.debug(f"Building component: {component}") logger.debug(
f"Building component: {component.get('name'), component.get('output_types')}"
)
try: try:
component_name = component["name"] component_name = component["name"]
component_code = component["code"] component_code = component["code"]

View file

@ -1,6 +1,6 @@
import json
from pathlib import Path from pathlib import Path
from langchain.schema import AgentAction from langchain.schema import AgentAction
import json
from langflow.interface.run import ( from langflow.interface.run import (
build_sorted_vertices_with_caching, build_sorted_vertices_with_caching,
get_memory_key, get_memory_key,

View file

@ -1,5 +1,6 @@
import contextlib import contextlib
import json import json
import orjson
import os import os
from typing import Optional, List from typing import Optional, List
from pathlib import Path from pathlib import Path
@ -126,7 +127,7 @@ class Settings(BaseSettings):
if isinstance(getattr(self, key), list): if isinstance(getattr(self, key), list):
# value might be a '[something]' string # value might be a '[something]' string
with contextlib.suppress(json.decoder.JSONDecodeError): with contextlib.suppress(json.decoder.JSONDecodeError):
value = json.loads(str(value)) value = orjson.loads(str(value))
if isinstance(value, list): if isinstance(value, list):
for item in value: for item in value:
if isinstance(item, Path): if isinstance(item, Path):

View file

@ -1,5 +1,5 @@
import json
from typing import Optional from typing import Optional
from langflow.database.models.base import orjson_dumps
from langflow.template.field.base import TemplateField from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.base import FrontendNode
@ -89,7 +89,7 @@ class LLMFrontendNode(FrontendNode):
if field.name == "config": if field.name == "config":
field.show = True field.show = True
field.advanced = True field.advanced = True
field.value = json.dumps(CTRANSFORMERS_DEFAULT_CONFIG, indent=2) field.value = orjson_dumps(CTRANSFORMERS_DEFAULT_CONFIG, indent_2=True)
@staticmethod @staticmethod
def format_field(field: TemplateField, name: Optional[str] = None) -> None: def format_field(field: TemplateField, name: Optional[str] = None) -> None:

View file

@ -1,6 +1,6 @@
import ast import ast
import json
from typing import Optional from typing import Optional
from langflow.database.models.base import orjson_dumps
from langflow.template.field.base import TemplateField from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.base import FrontendNode
@ -22,4 +22,4 @@ class UtilitiesFrontendNode(FrontendNode):
if isinstance(field.value, dict): if isinstance(field.value, dict):
field.field_type = "code" field.field_type = "code"
field.value = json.dumps(field.value, indent=4) field.value = orjson_dumps(field.value)

View file

@ -1,4 +1,6 @@
import json import json
from langflow.database.models.base import orjson_dumps
import orjson
from langflow.graph import Graph from langflow.graph import Graph
import pytest import pytest
@ -63,9 +65,9 @@ def test_cache_size_limit(basic_data_graph):
nodes = modified_data_graph["nodes"] nodes = modified_data_graph["nodes"]
node_id = nodes[0]["id"] node_id = nodes[0]["id"]
# Now we replace all instances ode node_id with a new id in the json # Now we replace all instances ode node_id with a new id in the json
json_string = json.dumps(modified_data_graph) json_string = orjson_dumps(modified_data_graph)
modified_json_string = json_string.replace(node_id, f"{node_id}_{i}") modified_json_string = json_string.replace(node_id, f"{node_id}_{i}")
modified_data_graph_new_id = json.loads(modified_json_string) modified_data_graph_new_id = orjson.loads(modified_json_string)
build_langchain_object_with_caching(modified_data_graph_new_id) build_langchain_object_with_caching(modified_data_graph_new_id)
assert len(build_langchain_object_with_caching.cache) == 10 assert len(build_langchain_object_with_caching.cache) == 10

View file

@ -1,11 +1,12 @@
import json from fastapi.encoders import jsonable_encoder
from langflow.database.models.base import orjson_dumps
import orjson
import pytest import pytest
from uuid import UUID, uuid4 from uuid import UUID, uuid4
from sqlalchemy.orm import Session from sqlalchemy.orm import Session
from fastapi.testclient import TestClient from fastapi.testclient import TestClient
from fastapi.encoders import jsonable_encoder
from langflow.api.v1.schemas import FlowListCreate from langflow.api.v1.schemas import FlowListCreate
from langflow.database.models.flow import Flow, FlowCreate, FlowUpdate from langflow.database.models.flow import Flow, FlowCreate, FlowUpdate
@ -23,7 +24,7 @@ def json_style():
# color: str = Field(index=True) # color: str = Field(index=True)
# emoji: str = Field(index=False) # emoji: str = Field(index=False)
# flow_id: UUID = Field(default=None, foreign_key="flow.id") # flow_id: UUID = Field(default=None, foreign_key="flow.id")
return json.dumps( return orjson_dumps(
{ {
"color": "red", "color": "red",
"emoji": "👍", "emoji": "👍",
@ -32,7 +33,7 @@ def json_style():
def test_create_flow(client: TestClient, json_flow: str): def test_create_flow(client: TestClient, json_flow: str):
flow = json.loads(json_flow) flow = orjson.loads(json_flow)
data = flow["data"] data = flow["data"]
flow = FlowCreate(name="Test Flow", description="description", data=data) flow = FlowCreate(name="Test Flow", description="description", data=data)
response = client.post("api/v1/flows/", json=flow.dict()) response = client.post("api/v1/flows/", json=flow.dict())
@ -48,7 +49,7 @@ def test_create_flow(client: TestClient, json_flow: str):
def test_read_flows(client: TestClient, json_flow: str): def test_read_flows(client: TestClient, json_flow: str):
flow_data = json.loads(json_flow) flow_data = orjson.loads(json_flow)
data = flow_data["data"] data = flow_data["data"]
flow = FlowCreate(name="Test Flow", description="description", data=data) flow = FlowCreate(name="Test Flow", description="description", data=data)
response = client.post("api/v1/flows/", json=flow.dict()) response = client.post("api/v1/flows/", json=flow.dict())
@ -89,7 +90,7 @@ def test_read_flows(client: TestClient, json_flow: str):
def test_read_flow(client: TestClient, json_flow: str): def test_read_flow(client: TestClient, json_flow: str):
flow = json.loads(json_flow) flow = orjson.loads(json_flow)
data = flow["data"] data = flow["data"]
flow = FlowCreate(name="Test Flow", description="description", data=data) flow = FlowCreate(name="Test Flow", description="description", data=data)
response = client.post("api/v1/flows/", json=flow.dict()) response = client.post("api/v1/flows/", json=flow.dict())
@ -115,7 +116,7 @@ def test_read_flow(client: TestClient, json_flow: str):
def test_update_flow(client: TestClient, json_flow: str): def test_update_flow(client: TestClient, json_flow: str):
flow = json.loads(json_flow) flow = orjson.loads(json_flow)
data = flow["data"] data = flow["data"]
flow = FlowCreate(name="Test Flow", description="description", data=data) flow = FlowCreate(name="Test Flow", description="description", data=data)
@ -136,7 +137,7 @@ def test_update_flow(client: TestClient, json_flow: str):
def test_delete_flow(client: TestClient, json_flow: str): def test_delete_flow(client: TestClient, json_flow: str):
flow = json.loads(json_flow) flow = orjson.loads(json_flow)
data = flow["data"] data = flow["data"]
flow = FlowCreate(name="Test Flow", description="description", data=data) flow = FlowCreate(name="Test Flow", description="description", data=data)
response = client.post("api/v1/flows/", json=flow.dict()) response = client.post("api/v1/flows/", json=flow.dict())
@ -147,7 +148,7 @@ def test_delete_flow(client: TestClient, json_flow: str):
def test_create_flows(client: TestClient, session: Session, json_flow: str): def test_create_flows(client: TestClient, session: Session, json_flow: str):
flow = json.loads(json_flow) flow = orjson.loads(json_flow)
data = flow["data"] data = flow["data"]
# Create test data # Create test data
flow_list = FlowListCreate( flow_list = FlowListCreate(
@ -172,7 +173,7 @@ def test_create_flows(client: TestClient, session: Session, json_flow: str):
def test_upload_file(client: TestClient, session: Session, json_flow: str): def test_upload_file(client: TestClient, session: Session, json_flow: str):
flow = json.loads(json_flow) flow = orjson.loads(json_flow)
data = flow["data"] data = flow["data"]
# Create test data # Create test data
flow_list = FlowListCreate( flow_list = FlowListCreate(
@ -181,7 +182,7 @@ def test_upload_file(client: TestClient, session: Session, json_flow: str):
FlowCreate(name="Flow 2", description="description", data=data), FlowCreate(name="Flow 2", description="description", data=data),
] ]
) )
file_contents = json.dumps(flow_list.dict()) file_contents = orjson_dumps(flow_list.dict())
response = client.post( response = client.post(
"api/v1/flows/upload/", "api/v1/flows/upload/",
files={"file": ("examples.json", file_contents, "application/json")}, files={"file": ("examples.json", file_contents, "application/json")},
@ -200,7 +201,7 @@ def test_upload_file(client: TestClient, session: Session, json_flow: str):
def test_download_file(client: TestClient, session: Session, json_flow): def test_download_file(client: TestClient, session: Session, json_flow):
flow = json.loads(json_flow) flow = orjson.loads(json_flow)
data = flow["data"] data = flow["data"]
# Create test data # Create test data
flow_list = FlowListCreate( flow_list = FlowListCreate(
@ -241,7 +242,7 @@ def test_get_nonexistent_flow(client: TestClient):
def test_update_flow_idempotency(client: TestClient, json_flow: str): def test_update_flow_idempotency(client: TestClient, json_flow: str):
flow_data = json.loads(json_flow) flow_data = orjson.loads(json_flow)
data = flow_data["data"] data = flow_data["data"]
flow_data = FlowCreate(name="Test Flow", description="description", data=data) flow_data = FlowCreate(name="Test Flow", description="description", data=data)
response = client.post("api/v1/flows/", json=flow_data.dict()) response = client.post("api/v1/flows/", json=flow_data.dict())
@ -253,7 +254,7 @@ def test_update_flow_idempotency(client: TestClient, json_flow: str):
def test_update_nonexistent_flow(client: TestClient, json_flow: str): def test_update_nonexistent_flow(client: TestClient, json_flow: str):
flow_data = json.loads(json_flow) flow_data = orjson.loads(json_flow)
data = flow_data["data"] data = flow_data["data"]
uuid = uuid4() uuid = uuid4()
updated_flow = FlowCreate( updated_flow = FlowCreate(

View file

@ -1,5 +1,4 @@
import json import json
import pytest import pytest
from langchain.chains.base import Chain from langchain.chains.base import Chain
from langflow.processing.process import load_flow_from_json from langflow.processing.process import load_flow_from_json