Merge dev into shortcuts_settings

This commit is contained in:
igorrCarvalho 2024-05-02 21:05:07 -03:00
commit 29015803c1
52 changed files with 617 additions and 595 deletions

View file

@ -13,7 +13,7 @@ services:
- "7860:7860"
volumes:
- ./:/app
command: bash -c "uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --loop asyncio",
command: bash -c "uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --loop asyncio"
networks:
- langflow
frontend:

View file

@ -12,7 +12,7 @@ To use a custom component, follow these steps:
<Admonition type="info" label="Tip">
For an in-depth explanation of custom components, their rules, and applications, make sure to read [Custom Component guidelines](../guidelines/custom-component).
For an in-depth explanation of custom components, their rules, and applications, make sure to read [Custom Component guidelines](../administration/custom-component).
</Admonition>
@ -57,7 +57,7 @@ The CustomComponent class serves as the foundation for creating custom component
<Admonition type="info">
Unlike Langchain types, base Python types do not add a
[handle](../guidelines/components) to the field by default. To add handles,
[handle](../administration/components) to the field by default. To add handles,
use the _`input_types`_ key in the _`build_config`_ method.
</Admonition>

View file

@ -21,7 +21,7 @@ The `PromptTemplate` component allows users to create prompts and define variabl
<Admonition type="info">
Once a variable is defined in the prompt template, it becomes a component
input of its own. Check out [Prompt
Customization](../guidelines/prompt-customization) to learn more.
Customization](../administration/prompt-customization) to learn more.
</Admonition>
- **template:** Template used to format an individual request.

View file

@ -159,7 +159,7 @@ Now, let's add the [parameters](focus://11[20:55]) and the [return type](focus:/
- _`flow_name`_ is the name of the flow we want to run.
- _`document`_ is the input document to be passed to that flow.
- Since _`Document`_ is a Langchain type, it will add an input [handle](../guidelines/components) to the component ([see more](../components/custom)).
- Since _`Document`_ is a Langchain type, it will add an input [handle](../administration/components) to the component ([see more](../components/custom)).
---
@ -242,7 +242,7 @@ class FlowRunner(CustomComponent):
```
You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to customize it. Find more about tweaks in our [features guidelines](../guidelines/features#code).
You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to customize it. Find more about tweaks in our [features guidelines](../administration/features#code).
---

View file

@ -112,8 +112,8 @@ Well done! You've built your first prompt in Langflow. 🎉
By adding Langflow components to this prompt, you can build all sorts of interesting flows.
* [Memory chatbot](/guides/memory-chatbot.mdx)
* [Blog writer](/guides/blog-writer.mdx)
* [Document QA](/guides/document-qa.mdx)
* [Memory chatbot](/starter-projects/memory-chatbot.mdx)
* [Blog writer](/starter-projects/blog-writer.mdx)
* [Document QA](/starter-projects/document-qa.mdx)

View file

@ -35,4 +35,4 @@ Use Langflow's simple but powerful UI to build any AI application you can dream
Learn more about the exciting changes in Langflow 1.0, and how to migrate your existing Langflow projects.
* [A new chapter for Langflow](/whats-new/a-new-chapter-langflow)
* [Migration guides](/whats-new/migrating-to-one-point-zero)
* [Migration guides](/migration/migrating-to-one-point-zero)

View file

@ -25,3 +25,16 @@ For this error to occur, two scenarios are possible:
In this case, you might not be running the correct executable.
To solve this issue, you can run the correct executable by running _`python -m langflow run`_ instead of _`langflow run`_ and if that doesn't work, you can try uninstalling langflow and reinstalling it using _`python -m pip install langflow --pre -U`_.
2. Some version conflicts might have occurred during the installation process. Run _`python -m pip install langflow --pre -U --force-reinstall`_ to reinstall langflow and its dependencies.
## _`Something went wrong running migrations. Please, run 'langflow migration --fix'`_
TLDR;
- Clear the cache by deleting the contents of the cache folder.
This folder can be found at:
- **Linux or WSL2 on Windows**: `home/<username>/.cache/langflow/`
- **MacOS**: `/Users/<username>/Library/Caches/langflow/`
If you wish to retain your files, ensure to back them up before clearing the folder.
This error often occurs when upgrading Langflow, the new version can't override `langflow-pre.db` in `.cache/langflow/`. Clearing the cache removes this file but will also erase your settings.

View file

@ -61,11 +61,11 @@ We wanted to create start projects that would help you learn about new features
For now, we have:
- **[Basic Prompting (Hello, World)](/guides/basic-prompting)**: A simple flow that shows you how to use the Prompt Component and how to talk like a pirate.
- **[Vector Store RAG](/guides/rag-with-astradb)**: A flow that shows you how to ingest data into a Vector Store and then use it to run a RAG application.
- **[Memory Chatbot](/guides/memory-chatbot)**: This one shows you how to create a simple chatbot that can remember things about the user.
- **[Document QA](/guides/document-qa)**: This flow shows you how to build a simple flow that helps you get answers about a document.
- **[Blog Writer](/guides/blog-writer)**: Shows you how you can expand on the Prompt variables and be creative about what inputs you add to it.
- **[Basic Prompting (Hello, World)](/starter-projects/basic-prompting)**: A simple flow that shows you how to use the Prompt Component and how to talk like a pirate.
- **[Vector Store RAG](/tutorials/rag-with-astradb)**: A flow that shows you how to ingest data into a Vector Store and then use it to run a RAG application.
- **[Memory Chatbot](/starter-projects/memory-chatbot)**: This one shows you how to create a simple chatbot that can remember things about the user.
- **[Document QA](/starter-projects/document-qa)**: This flow shows you how to build a simple flow that helps you get answers about a document.
- **[Blog Writer](/starter-projects/blog-writer)**: Shows you how you can expand on the Prompt variables and be creative about what inputs you add to it.
As always, your feedback is invaluable, so please let us know what you think of the new starter projects and what you would like to see in the future.

View file

@ -2,88 +2,49 @@ module.exports = {
docs: [
{
type: "category",
label: " Getting Started",
label: "What's New?",
collapsed: false,
items: [
"whats-new/a-new-chapter-langflow"
],
},
{
type: "category",
label: "Getting Started",
collapsed: false,
items: [
"index",
"getting-started/install-langflow",
"getting-started/quickstart",
"getting-started/huggingface-spaces",
"getting-started/new-to-llms",
"getting-started/new-to-llms"
],
},
{
type: "category",
label: " Starter Projects",
label: "Starter Projects",
collapsed: false,
items: [
"guides/basic-prompting",
"guides/blog-writer",
"guides/document-qa",
"guides/memory-chatbot",
"guides/rag-with-astradb",
"starter-projects/basic-prompting",
"starter-projects/blog-writer",
"starter-projects/document-qa",
"starter-projects/memory-chatbot"
],
},
{
type: "category",
label: " What's New",
label: "Administration",
collapsed: false,
items: [
"whats-new/a-new-chapter-langflow",
"whats-new/migrating-to-one-point-zero",
"administration/login",
"administration/api",
"administration/cli",
"administration/components",
"administration/collection",
"administration/prompt-customization",
"administration/langfuse_integration"
],
},
{
type: "category",
label: " Migration Guides",
collapsed: false,
items: [
"migration/possible-installation-issues",
// "migration/flow-of-data",
"migration/inputs-and-outputs",
// "migration/supported-frameworks",
// "migration/sidebar-and-interaction-panel",
// "migration/new-categories-and-components",
"migration/text-and-record",
// "migration/custom-component",
"migration/compatibility",
// "migration/multiple-flows",
// "migration/component-status-and-data-passing",
// "migration/connecting-output-components",
// "migration/renaming-and-editing-components",
// "migration/passing-tweaks-and-inputs",
"migration/global-variables",
// "migration/experimental-components",
// "migration/state-management",
//"guides/rag-with-astradb",
],
},
{
type: "category",
label: "Guidelines",
collapsed: false,
items: [
"getting-started/cli",
"guidelines/login",
"guidelines/api",
"guidelines/components",
// "guidelines/features",
"guidelines/collection",
"guidelines/prompt-customization",
// "guidelines/chat-interface",
// "guidelines/chat-widget",
// "guidelines/custom-component",
],
},
{
type: "category",
label: "Extended Components",
collapsed: false,
items: ["guides/langfuse_integration"],
},
{
type: "category",
label: "Core Components",
@ -96,45 +57,69 @@ module.exports = {
"components/helpers",
"components/vector-stores",
"components/embeddings",
"components/custom"
],
},
{
type: "category",
label: "Extended Components",
collapsed: false,
collapsed: true,
items: [
"components/agents",
"components/chains",
"components/loaders",
"components/experimental",
"components/utilities",
"components/memories",
"components/model_specs",
"components/retrievers",
"components/text-splitters",
"components/toolkits",
"components/tools",
"components/tools"
],
},
{
type: "category",
label: "Example Components",
collapsed: true,
items: [
"examples/flow-runner",
"examples/conversation-chain",
"examples/buffer-memory",
"examples/csv-loader",
"examples/searchapi-tool",
"examples/serp-api-tool",
"examples/python-function"
],
},
{
type: "category",
label: "Migration Guides",
collapsed: false,
items: [
"migration/possible-installation-issues",
"migration/migrating-to-one-point-zero",
"migration/inputs-and-outputs",
"migration/text-and-record",
"migration/compatibility",
"migration/global-variables"
]
},
{
type: "category",
label: "Tutorials",
collapsed: true,
items: [
"tutorials/chatprompttemplate_guide",
"tutorials/loading_document",
"tutorials/rag-with-astradb"
],
},
// {
// type: "category",
// label: "Examples",
// collapsed: false,
// items: [
// // "examples/flow-runner",
// // "examples/conversation-chain",
// // "examples/buffer-memory",
// // "examples/csv-loader",
// // "examples/searchapi-tool",
// // "examples/serp-api-tool",
// // "examples/python-function",
// ],
// },
{
type: "category",
label: "Deployment",
collapsed: false,
items: ["deployment/gcp-deployment"],
collapsed: true,
items: [
"deployment/gcp-deployment"
],
},
{
type: "category",
@ -143,7 +128,7 @@ module.exports = {
items: [
"contributing/how-contribute",
"contributing/github-issues",
"contributing/community",
"contributing/community"
],
},
],

305
poetry.lock generated
View file

@ -469,17 +469,17 @@ files = [
[[package]]
name = "boto3"
version = "1.34.93"
version = "1.34.94"
description = "The AWS SDK for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "boto3-1.34.93-py3-none-any.whl", hash = "sha256:b59355bf4a1408563969526f314611dbeacc151cf90ecb22af295dcc4fe18def"},
{file = "boto3-1.34.93.tar.gz", hash = "sha256:e39516e4ca21612932599819662759c04485d53ca457996a913163da11f052a4"},
{file = "boto3-1.34.94-py3-none-any.whl", hash = "sha256:bbb87d641c73462e53b1777083b55c8f13921618ad08757478a8122985c56c13"},
{file = "boto3-1.34.94.tar.gz", hash = "sha256:22f65b3c9b7a419f8f39c2dddc421e14fab8cbb3bd8a9d467e874237d39f59b1"},
]
[package.dependencies]
botocore = ">=1.34.93,<1.35.0"
botocore = ">=1.34.94,<1.35.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0"
@ -488,13 +488,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
version = "1.34.93"
version = "1.34.94"
description = "Low-level, data-driven core of boto 3."
optional = false
python-versions = ">=3.8"
files = [
{file = "botocore-1.34.93-py3-none-any.whl", hash = "sha256:6fbd5a53a2adc9b3d4ebd90ae0ede83a91a41d96231f8a5984051f75495f246d"},
{file = "botocore-1.34.93.tar.gz", hash = "sha256:79d39b0b87e962991c6dd55e78ce15155099f6fb741be88b1b8a456a702cc150"},
{file = "botocore-1.34.94-py3-none-any.whl", hash = "sha256:f00a79002e0cb9d6895ecd0919c506402850177d7b6c4d2634fa2da362d95bcb"},
{file = "botocore-1.34.94.tar.gz", hash = "sha256:99b11be9a28f9051af4c96fa121e9c3f22a86d499abd773c9e868b2a38961bae"},
]
[package.dependencies]
@ -1150,13 +1150,13 @@ types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency
[[package]]
name = "cohere"
version = "5.3.3"
version = "5.3.4"
description = ""
optional = false
python-versions = "<4.0,>=3.8"
files = [
{file = "cohere-5.3.3-py3-none-any.whl", hash = "sha256:686db9d7c0b858be8c1da173fbe77dfda377fd794e221e473b654440e81336cd"},
{file = "cohere-5.3.3.tar.gz", hash = "sha256:fbf59c0bab0ded4d28091fa0c193a116d8303c4c0b09a42721dd8a1230ea27c3"},
{file = "cohere-5.3.4-py3-none-any.whl", hash = "sha256:2d62306ed86c346d472e2355cf653b8fbd8722330e554355d576fb6061e204f2"},
{file = "cohere-5.3.4.tar.gz", hash = "sha256:b45a2c85b025dd15367d69bf92748de4a30ec82abb4b08fa5301b72e89051fe2"},
]
[package.dependencies]
@ -1669,13 +1669,13 @@ files = [
[[package]]
name = "dspy-ai"
version = "2.4.5"
version = "2.4.9"
description = "DSPy"
optional = false
python-versions = ">=3.9"
files = [
{file = "dspy-ai-2.4.5.tar.gz", hash = "sha256:6d9f166f9c214a86cfa0ef0e1d1489b4034dbed1cdab61ce152de8c09f64d799"},
{file = "dspy_ai-2.4.5-py3-none-any.whl", hash = "sha256:341e239374fba86ad7f9cd1eb3810ccd70bbbdfe8e9b2fa79038da0e0e720d4e"},
{file = "dspy-ai-2.4.9.tar.gz", hash = "sha256:5cf5dc30e976b244477851ca538133678330efeb60a54a79e0c94e9067d11d1a"},
{file = "dspy_ai-2.4.9-py3-none-any.whl", hash = "sha256:945f2a3110cfa9ac99ad5d326ae284fac619765ac7e2a35ca44873aed397eba1"},
]
[package.dependencies]
@ -1685,23 +1685,27 @@ joblib = ">=1.3.2,<1.4.0"
openai = ">=0.28.1,<2.0.0"
optuna = "*"
pandas = "*"
pydantic = "2.5.0"
pydantic = ">=2.0,<3.0"
regex = "*"
requests = "*"
structlog = "*"
tqdm = "*"
ujson = "*"
[package.extras]
anthropic = ["anthropic (>=0.18.0,<0.19.0)"]
aws = ["boto3 (>=1.34.78,<1.35.0)"]
chromadb = ["chromadb (>=0.4.14,<0.5.0)"]
dev = ["pytest (>=6.2.5)"]
docs = ["autodoc-pydantic", "docutils (<0.17)", "furo (>=2023.3.27)", "m2r2", "myst-nb", "myst-parser", "sphinx (>=4.3.0)", "sphinx-autobuild", "sphinx-automodapi (==0.16.0)", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-theme"]
faiss-cpu = ["faiss-cpu", "sentence-transformers"]
google-vertex-ai = ["google-cloud-aiplatform (==1.43.0)"]
marqo = ["marqo", "marqo (>=3.1.0,<3.2.0)"]
milvus = ["pymilvus (>=2.3.7,<2.4.0)"]
mongodb = ["pymongo (>=3.12.0,<3.13.0)"]
pinecone = ["pinecone-client (>=2.2.4,<2.3.0)"]
qdrant = ["fastembed", "fastembed (>=0.1.0,<0.2.0)", "qdrant-client", "qdrant-client (>=1.6.2,<1.7.0)"]
weaviate = ["weaviate-client (>=3.26.1,<3.27.0)"]
qdrant = ["fastembed", "fastembed (>=0.1.0)", "qdrant-client", "qdrant-client (>=1.6.2)"]
weaviate = ["weaviate-client (>=3.26.1,<3.27.0)", "weaviate-client (>=4.5.4,<4.6.0)"]
[[package]]
name = "duckdb"
@ -1961,13 +1965,13 @@ files = [
[[package]]
name = "fastapi"
version = "0.110.2"
version = "0.110.3"
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
optional = false
python-versions = ">=3.8"
files = [
{file = "fastapi-0.110.2-py3-none-any.whl", hash = "sha256:239403f2c0a3dda07a9420f95157a7f014ddb2b770acdbc984f9bdf3ead7afdb"},
{file = "fastapi-0.110.2.tar.gz", hash = "sha256:b53d673652da3b65e8cd787ad214ec0fe303cad00d2b529b86ce7db13f17518d"},
{file = "fastapi-0.110.3-py3-none-any.whl", hash = "sha256:fd7600612f755e4050beb74001310b5a7e1796d149c2ee363124abdfa0289d32"},
{file = "fastapi-0.110.3.tar.gz", hash = "sha256:555700b0159379e94fdbfc6bb66a0f1c43f4cf7060f25239af3d84b63a656626"},
]
[package.dependencies]
@ -1976,7 +1980,7 @@ starlette = ">=0.37.2,<0.38.0"
typing-extensions = ">=4.8.0"
[package.extras]
all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
[[package]]
name = "fastavro"
@ -2026,13 +2030,13 @@ zstandard = ["zstandard"]
[[package]]
name = "filelock"
version = "3.13.4"
version = "3.14.0"
description = "A platform independent file lock."
optional = false
python-versions = ">=3.8"
files = [
{file = "filelock-3.13.4-py3-none-any.whl", hash = "sha256:404e5e9253aa60ad457cae1be07c0f0ca90a63931200a47d9b6a6af84fd7b45f"},
{file = "filelock-3.13.4.tar.gz", hash = "sha256:d13f466618bfde72bd2c18255e269f72542c6e70e7bac83a0232d6b1cc5c8cf4"},
{file = "filelock-3.14.0-py3-none-any.whl", hash = "sha256:43339835842f110ca7ae60f1e1c160714c5a6afd15a2873419ab185334975c0f"},
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]
[package.extras]
@ -3909,7 +3913,7 @@ six = "*"
[[package]]
name = "langflow-base"
version = "0.0.39"
version = "0.0.40"
description = "A Python package with a built-in web application"
optional = false
python-versions = ">=3.10,<3.12"
@ -3964,13 +3968,13 @@ url = "src/backend/base"
[[package]]
name = "langfuse"
version = "2.27.2"
version = "2.27.3"
description = "A client library for accessing langfuse"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langfuse-2.27.2-py3-none-any.whl", hash = "sha256:6556dcd942ed596c6cbcd688bfed2aeca37065b68b9009f5e4ed829a32a9e513"},
{file = "langfuse-2.27.2.tar.gz", hash = "sha256:7b77f188fd72261473fb329151a15ff676c49261b5084eb25a3ded49d1577234"},
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{file = "langfuse-2.27.3.tar.gz", hash = "sha256:4d6b9434702c3d729a8b898f07e6065a8026ba568bdae603813b4f0678a17884"},
]
[package.dependencies]
@ -3988,13 +3992,13 @@ openai = ["openai (>=0.27.8)"]
[[package]]
name = "langsmith"
version = "0.1.51"
version = "0.1.52"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.51-py3-none-any.whl", hash = "sha256:1e7363a3f472ecf02a1d91f6dbacde25519554b98c490be71716fcffaab0ca6b"},
{file = "langsmith-0.1.51.tar.gz", hash = "sha256:b99b40a8c00e66174540865caa61412622fa1dc4f02602965364919c90528f97"},
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]
[package.dependencies]
@ -4021,13 +4025,13 @@ regex = ["regex"]
[[package]]
name = "litellm"
version = "1.35.31"
version = "1.35.32"
description = "Library to easily interface with LLM API providers"
optional = false
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{file = "pydantic_core-2.18.2.tar.gz", hash = "sha256:2e29d20810dfc3043ee13ac7d9e25105799817683348823f305ab3f349b9386e"},
]
[package.dependencies]
@ -8504,6 +8486,23 @@ files = [
{file = "striprtf-0.0.26.tar.gz", hash = "sha256:fdb2bba7ac440072d1c41eab50d8d74ae88f60a8b6575c6e2c7805dc462093aa"},
]
[[package]]
name = "structlog"
version = "24.1.0"
description = "Structured Logging for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "structlog-24.1.0-py3-none-any.whl", hash = "sha256:3f6efe7d25fab6e86f277713c218044669906537bb717c1807a09d46bca0714d"},
{file = "structlog-24.1.0.tar.gz", hash = "sha256:41a09886e4d55df25bdcb9b5c9674bccfab723ff43e0a86a1b7b236be8e57b16"},
]
[package.extras]
dev = ["structlog[tests,typing]"]
docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-mermaid", "sphinxext-opengraph", "twisted"]
tests = ["freezegun (>=0.2.8)", "pretend", "pytest (>=6.0)", "pytest-asyncio (>=0.17)", "simplejson"]
typing = ["mypy (>=1.4)", "rich", "twisted"]
[[package]]
name = "supabase"
version = "2.4.3"
@ -10154,13 +10153,13 @@ multidict = ">=4.0"
[[package]]
name = "zep-python"
version = "2.0.0rc5"
version = "2.0.0rc6"
description = "Long-Term Memory for AI Assistants. This is the Python client for the Zep service."
optional = false
python-versions = "<4,>=3.9.0"
files = [
{file = "zep_python-2.0.0rc5-py3-none-any.whl", hash = "sha256:8b1b5c22c9e1ef439c9ef3d785347abf89b1243c7149e32025dd065cc022af40"},
{file = "zep_python-2.0.0rc5.tar.gz", hash = "sha256:e6ced8089760374dead948d6b4b88fceb09a356bf9a7fe182b4ceb6e828f0bb1"},
{file = "zep_python-2.0.0rc6-py3-none-any.whl", hash = "sha256:2719e06897957facd4e5edbf89706c01d3c68b0c0543bbe24da56a57bff99d68"},
{file = "zep_python-2.0.0rc6.tar.gz", hash = "sha256:27a6632068c5ae6bac30d0626d49f8f5e5bc2a3922557ce11bf8df006ca071f4"},
]
[package.dependencies]

View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "1.0.0a28"
version = "1.0.0a29"
description = "A Python package with a built-in web application"
authors = ["Langflow <contact@langflow.org>"]
maintainers = [

View file

@ -0,0 +1,59 @@
"""Fix nullable
Revision ID: 6e7b581b5648
Revises: 58b28437a398
Create Date: 2024-04-30 09:17:45.024688
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic.
revision: str = "6e7b581b5648"
down_revision: Union[str, None] = "58b28437a398"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names()
# ### commands auto generated by Alembic - please adjust! ###
columns = inspector.get_columns("apikey")
column_names = {column["name"]: column for column in columns}
with op.batch_alter_table("apikey", schema=None) as batch_op:
created_at_column = [column for column in columns if column["name"] == "created_at"][0]
if "created_at" in column_names and created_at_column.get("nullable"):
batch_op.alter_column(
"created_at",
existing_type=sa.DATETIME(),
nullable=False,
existing_server_default=sa.text("(CURRENT_TIMESTAMP)"), # type: ignore
)
# ### end Alembic commands ###
def downgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names()
columns = inspector.get_columns("apikey")
column_names = {column["name"]: column for column in columns}
# ### commands auto generated by Alembic - please adjust! ###
with op.batch_alter_table("apikey", schema=None) as batch_op:
created_at_column = [column for column in columns if column["name"] == "created_at"][0]
if "created_at" in column_names and not created_at_column.get("nullable"):
batch_op.alter_column(
"created_at",
existing_type=sa.DATETIME(),
nullable=True,
existing_server_default=sa.text("(CURRENT_TIMESTAMP)"), # type: ignore
)
# ### end Alembic commands ###

View file

@ -0,0 +1,30 @@
from langchain_core.messages import BaseMessage
from langchain_core.prompts import PromptTemplate
from langflow.custom import CustomComponent
from langflow.field_typing import BaseLanguageModel, Text
class ShouldRunNextComponent(CustomComponent):
display_name = "Should Run Next"
description = "Determines if a vertex is runnable."
def build(self, llm: BaseLanguageModel, question: str, context: str, retries: int = 3) -> Text:
template = "Given the following question and the context below, answer with a yes or no.\n\n{error_message}\n\nQuestion: {question}\n\nContext: {context}\n\nAnswer:"
prompt = PromptTemplate.from_template(template)
chain = prompt | llm
error_message = ""
for i in range(retries):
result = chain.invoke(dict(question=question, context=context, error_message=error_message))
if isinstance(result, BaseMessage):
content = result.content
elif isinstance(result, str):
content = result
if isinstance(content, str) and content.lower().strip() in ["yes", "no"]:
break
condition = str(content).lower().strip() == "yes"
self.status = f"Should Run Next: {condition}"
if condition is False:
self.stop()
return context

View file

@ -232,3 +232,4 @@ output_parsers:
custom_components:
CustomComponent:
documentation: "https://docs.langflow.org/guidelines/custom-component"
# documentation: "https://docs.langflow.org/administration/custom-component"

View file

@ -3,7 +3,7 @@ import uuid
from collections import defaultdict, deque
from functools import partial
from itertools import chain
from typing import TYPE_CHECKING, Callable, Coroutine, Dict, Generator, List, Optional, Type, Union
from typing import TYPE_CHECKING, Callable, Coroutine, Dict, Generator, List, Optional, Tuple, Type, Union
from loguru import logger
@ -14,7 +14,7 @@ from langflow.graph.graph.state_manager import GraphStateManager
from langflow.graph.graph.utils import process_flow
from langflow.graph.schema import InterfaceComponentTypes, RunOutputs
from langflow.graph.vertex.base import Vertex
from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, RoutingVertex, StateVertex, ToolkitVertex
from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, StateVertex, ToolkitVertex
from langflow.interface.tools.constants import FILE_TOOLS
from langflow.schema import Record
from langflow.schema.schema import INPUT_FIELD_NAME, InputType
@ -75,7 +75,7 @@ class Graph:
self.vertices: List[Vertex] = []
self.run_manager = RunnableVerticesManager()
self._build_graph()
self.build_graph_maps()
self.build_graph_maps(self.edges)
self.define_vertices_lists()
self.state_manager = GraphStateManager()
@ -130,6 +130,18 @@ class Graph:
):
vertices_ids.append(vertex_id)
successors = self.get_all_successors(vertex, flat=True)
# Update run_manager.run_predecessors because we are activating vertices
# The run_prdecessors is the predecessor map of the vertices
# we remove the vertex_id from the predecessor map whenever we run a vertex
# So we need to get all edges of the vertex and successors
# and run self.build_adjacency_maps(edges) to get the new predecessor map
# that is not complete but we can use to update the run_predecessors
edges_set = set()
for vertex in [vertex] + successors:
edges_set.update(vertex.edges)
edges = list(edges_set)
new_predecessor_map, _ = self.build_adjacency_maps(edges)
self.run_manager.run_predecessors.update(new_predecessor_map)
self.vertices_to_run.update(list(map(lambda x: x.id, successors)))
self.activated_vertices = vertices_ids
self.vertices_to_run.update(vertices_ids)
@ -401,14 +413,20 @@ class Graph:
"inactivated_vertices": self.inactivated_vertices,
}
def build_graph_maps(self):
def build_graph_maps(self, edges: Optional[List[ContractEdge]] = None, vertices: Optional[List[Vertex]] = None):
"""
Builds the adjacency maps for the graph.
"""
self.predecessor_map, self.successor_map = self.build_adjacency_maps()
if edges is None:
edges = self.edges
self.in_degree_map = self.build_in_degree()
self.parent_child_map = self.build_parent_child_map()
if vertices is None:
vertices = self.vertices
self.predecessor_map, self.successor_map = self.build_adjacency_maps(edges)
self.in_degree_map = self.build_in_degree(edges)
self.parent_child_map = self.build_parent_child_map(vertices)
def reset_inactivated_vertices(self):
"""
@ -433,9 +451,9 @@ class Graph:
for child_id in self.parent_child_map[vertex_id]:
self.mark_branch(child_id, state)
def build_parent_child_map(self):
def build_parent_child_map(self, vertices: List[Vertex]):
parent_child_map = defaultdict(list)
for vertex in self.vertices:
for vertex in vertices:
parent_child_map[vertex.id] = [child.id for child in self.get_successors(vertex)]
return parent_child_map
@ -559,6 +577,7 @@ class Graph:
self.update_vertex_from_another(self_vertex, other_vertex)
self.build_graph_maps()
self.define_vertices_lists()
self.increment_update_count()
return self
@ -944,8 +963,6 @@ class Graph:
node_name = node_id.split("-")[0]
if node_name in ["ChatOutput", "ChatInput"]:
return ChatVertex
elif node_name in ["ShouldRunNext"]:
return RoutingVertex
elif node_name in ["SharedState", "Notify", "Listen"]:
return StateVertex
elif node_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
@ -1277,17 +1294,17 @@ class Graph:
def remove_from_predecessors(self, vertex_id: str):
self.run_manager.remove_from_predecessors(vertex_id)
def build_in_degree(self):
in_degree = defaultdict(int)
for edge in self.edges:
def build_in_degree(self, edges: List[ContractEdge]) -> Dict[str, int]:
in_degree: Dict[str, int] = defaultdict(int)
for edge in edges:
in_degree[edge.target_id] += 1
return in_degree
def build_adjacency_maps(self):
def build_adjacency_maps(self, edges: List[ContractEdge]) -> Tuple[Dict[str, List[str]], Dict[str, List[str]]]:
"""Returns the adjacency maps for the graph."""
predecessor_map = defaultdict(list)
successor_map = defaultdict(list)
for edge in self.edges:
for edge in edges:
predecessor_map[edge.target_id].append(edge.source_id)
successor_map[edge.source_id].append(edge.target_id)
return predecessor_map, successor_map

View file

@ -15,7 +15,6 @@ from langflow.interface.wrappers.base import wrapper_creator
from langflow.utils.lazy_load import LazyLoadDictBase
CHAT_COMPONENTS = ["ChatInput", "ChatOutput", "TextInput", "SessionID"]
ROUTING_COMPONENTS = ["ShouldRunNext"]
class VertexTypesDict(LazyLoadDictBase):
@ -51,7 +50,6 @@ class VertexTypesDict(LazyLoadDictBase):
**{t: types.CustomComponentVertex for t in custom_component_creator.to_list()},
**{t: types.RetrieverVertex for t in retriever_creator.to_list()},
**{t: types.ChatVertex for t in CHAT_COMPONENTS},
**{t: types.RoutingVertex for t in ROUTING_COMPONENTS},
}
def get_custom_component_vertex_type(self):

View file

@ -15,6 +15,7 @@ class RunnableVerticesManager:
def is_vertex_runnable(self, vertex_id: str) -> bool:
"""Determines if a vertex is runnable."""
return vertex_id in self.vertices_to_run and not self.run_predecessors.get(vertex_id)
def find_runnable_predecessors_for_successors(self, vertex_id: str) -> List[str]:

View file

@ -72,7 +72,6 @@ class Vertex:
self.load_from_db_fields: List[str] = []
self.parent_is_top_level = False
self.layer = None
self.should_run = True
self.result: Optional[ResultData] = None
try:
self.is_interface_component = self.vertex_type in InterfaceComponentTypes

View file

@ -1,6 +1,7 @@
import ast
import json
from typing import AsyncIterator, Callable, Dict, Iterator, List, Optional, Union
import yaml
from langchain_core.messages import AIMessage
from loguru import logger
@ -438,41 +439,6 @@ class ChatVertex(Vertex):
return self.vertex_type == InterfaceComponentTypes.ChatInput and self.is_input
class RoutingVertex(Vertex):
def __init__(self, data: Dict, graph):
super().__init__(data, graph=graph, base_type="custom_components")
self.use_result = True
self.steps = [self._build]
def _built_object_repr(self):
if self.artifacts and "repr" in self.artifacts:
return self.artifacts["repr"] or super()._built_object_repr()
return super()._built_object_repr()
@property
def successors_ids(self):
if isinstance(self._built_object, bool):
ids = super().successors_ids
if self._built_object:
return ids
return []
raise ValueError("RoutingVertex should return a boolean value.")
def _run(self, *args, **kwargs):
if self._built_object:
condition = self._built_object.get("condition")
result = self._built_object.get("result")
if condition is None:
raise ValueError("Condition is required for the routing vertex.")
if result is None:
raise ValueError("Result is required for the routing vertex.")
if condition is True:
self._built_result = result
else:
self.graph.mark_branch(self.id, "INACTIVE")
self._built_result = None
class StateVertex(Vertex):
def __init__(self, data: Dict, graph):
super().__init__(data, graph=graph, base_type="custom_components")

View file

@ -87,6 +87,14 @@ class CustomComponent(Component):
except Exception as e:
raise ValueError(f"Error updating state: {e}")
def stop(self):
if not self.vertex:
raise ValueError("Vertex is not set")
try:
self.graph.mark_branch(self.vertex.id, "INACTIVE")
except Exception as e:
raise ValueError(f"Error stopping {self.display_name}: {e}")
def append_state(self, name: str, value: Any):
if not self.vertex:
raise ValueError("Vertex is not set")

View file

@ -53,6 +53,7 @@ def get_lifespan(fix_migration=False, socketio_server=None):
except Exception as exc:
if "langflow migration --fix" not in str(exc):
logger.error(exc)
raise
# Shutdown message
rprint("[bold red]Shutting down Langflow...[/bold red]")
teardown_services()

View file

@ -170,9 +170,7 @@ class DatabaseService(Service):
except util.exc.AutogenerateDiffsDetected as exc:
logger.error(f"AutogenerateDiffsDetected: {exc}")
if not fix:
raise RuntimeError(
"Something went wrong running migrations. Please, run `langflow migration --fix`"
) from exc
raise RuntimeError(f"There's a mismatch between the models and the database.\n{exc}")
if fix:
self.try_downgrade_upgrade_until_success(alembic_cfg)

View file

@ -652,13 +652,13 @@ test = ["pytest (>=6)"]
[[package]]
name = "fastapi"
version = "0.110.2"
version = "0.110.3"
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
optional = false
python-versions = ">=3.8"
files = [
{file = "fastapi-0.110.2-py3-none-any.whl", hash = "sha256:239403f2c0a3dda07a9420f95157a7f014ddb2b770acdbc984f9bdf3ead7afdb"},
{file = "fastapi-0.110.2.tar.gz", hash = "sha256:b53d673652da3b65e8cd787ad214ec0fe303cad00d2b529b86ce7db13f17518d"},
{file = "fastapi-0.110.3-py3-none-any.whl", hash = "sha256:fd7600612f755e4050beb74001310b5a7e1796d149c2ee363124abdfa0289d32"},
{file = "fastapi-0.110.3.tar.gz", hash = "sha256:555700b0159379e94fdbfc6bb66a0f1c43f4cf7060f25239af3d84b63a656626"},
]
[package.dependencies]
@ -667,7 +667,7 @@ starlette = ">=0.37.2,<0.38.0"
typing-extensions = ">=4.8.0"
[package.extras]
all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
[[package]]
name = "frozenlist"
@ -1162,13 +1162,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langsmith"
version = "0.1.51"
version = "0.1.52"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.51-py3-none-any.whl", hash = "sha256:1e7363a3f472ecf02a1d91f6dbacde25519554b98c490be71716fcffaab0ca6b"},
{file = "langsmith-0.1.51.tar.gz", hash = "sha256:b99b40a8c00e66174540865caa61412622fa1dc4f02602965364919c90528f97"},
{file = "langsmith-0.1.52-py3-none-any.whl", hash = "sha256:4518e269b9a0e10197550f050b6518d1276fe68732f7b8579b3e1302b8471d29"},
{file = "langsmith-0.1.52.tar.gz", hash = "sha256:f767fddb13c794bea7cc827a77f050a8a1c075ab1d997eb37849b975b0eef1b0"},
]
[package.dependencies]
@ -1196,173 +1196,95 @@ dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptio
[[package]]
name = "lxml"
version = "5.2.1"
version = "4.9.2"
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{file = "lxml-4.9.2.tar.gz", hash = "sha256:2455cfaeb7ac70338b3257f41e21f0724f4b5b0c0e7702da67ee6c3640835b67"},
]
[package.extras]
cssselect = ["cssselect (>=0.7)"]
html-clean = ["lxml-html-clean"]
html5 = ["html5lib"]
htmlsoup = ["BeautifulSoup4"]
source = ["Cython (>=3.0.10)"]
source = ["Cython (>=0.29.7)"]
[[package]]
name = "mako"
@ -2160,18 +2082,18 @@ six = ">=1.5"
[[package]]
name = "python-docx"
version = "1.1.0"
version = "1.1.1"
description = "Create, read, and update Microsoft Word .docx files."
optional = false
python-versions = ">=3.7"
files = [
{file = "python-docx-1.1.0.tar.gz", hash = "sha256:5829b722141cf1ab79aedf0c34d9fe9924b29764584c0f2164eb2b02dcdf17c9"},
{file = "python_docx-1.1.0-py3-none-any.whl", hash = "sha256:bac9773278098a1ddc43a52d84e22f5909c4a3080a624530b3ecb3771b07c6cd"},
{file = "python_docx-1.1.1-py3-none-any.whl", hash = "sha256:fc09412cef1a9ce7756d52376158f94f2a0edd0fc722da1d0a074f01d83e5021"},
{file = "python_docx-1.1.1.tar.gz", hash = "sha256:15473bd40a7c16d9367b0a4b2cbbab0a787904fa2f7cadae1ed6f96201dcbb66"},
]
[package.dependencies]
lxml = ">=3.1.0"
typing-extensions = "*"
lxml = ">=3.1.0,<=4.9.2"
typing-extensions = ">=4.9.0"
[[package]]
name = "python-dotenv"

View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow-base"
version = "0.0.39"
version = "0.0.40"
description = "A Python package with a built-in web application"
authors = ["Langflow <contact@langflow.org>"]
maintainers = [

View file

@ -65,9 +65,10 @@ export default function App() {
}, [dark]);
useEffect(() => {
const abortController = new AbortController();
const isLoginPage = location.pathname.includes("login");
autoLogin()
autoLogin(abortController.signal)
.then(async (user) => {
if (user && user["access_token"]) {
user["refresh_token"] = "auto";
@ -78,31 +79,44 @@ export default function App() {
await Promise.all([refreshStars(), refreshVersion(), fetchData()]);
}
})
.catch(async () => {
setAutoLogin(false);
if (isAuthenticated && !isLoginPage) {
getUser();
await Promise.all([refreshStars(), refreshVersion(), fetchData()]);
} else {
setLoading(false);
useFlowsManagerStore.setState({ isLoading: false });
.catch(async (error) => {
if (error.name !== "CanceledError") {
setAutoLogin(false);
if (isAuthenticated && !isLoginPage) {
getUser();
await Promise.all([refreshStars(), refreshVersion(), fetchData()]);
} else {
setLoading(false);
useFlowsManagerStore.setState({ isLoading: false });
}
}
});
}, [isAuthenticated]);
/*
Abort the request as it isn't needed anymore, the component being
unmounted. It helps avoid, among other things, the well-known "can't
perform a React state update on an unmounted component" warning.
*/
return () => abortController.abort();
}, []);
const fetchData = async () => {
if (isAuthenticated) {
try {
await getTypes();
refreshFlows();
const res = await getGlobalVariables();
setGlobalVariables(res);
checkHasStore();
fetchApiData();
} catch (error) {
console.error("Failed to fetch data:", error);
return new Promise<void>(async (resolve, reject) => {
if (isAuthenticated) {
try {
await getTypes();
await refreshFlows();
const res = await getGlobalVariables();
setGlobalVariables(res);
checkHasStore();
fetchApiData();
resolve();
} catch (error) {
console.error("Failed to fetch data:", error);
reject();
}
}
}
});
};
useEffect(() => {

View file

@ -39,8 +39,8 @@ import { classNames } from "../../utils/utils";
import ShadTooltip from "../ShadTooltipComponent";
import DictComponent from "../dictComponent";
import IconComponent from "../genericIconComponent";
import InputGlobalComponent from "../inputGlobalComponent";
import KeypairListComponent from "../keypairListComponent";
import InputComponent from "../inputComponent";
export default function CodeTabsComponent({
flow,
@ -351,31 +351,38 @@ export default function CodeTabsComponent({
/>
</div>
) : (
<InputGlobalComponent
<InputComponent
editNode={true}
disabled={false}
password={
node.data.node.template[
templateField
].password ?? false
}
value={
!node.data.node.template[
templateField
].value ||
node.data.node.template[
templateField
].value === ""
? ""
: node.data.node
.template[
templateField
].value
}
onChange={(target) => {
if (node.data) {
setNode(
node.data.id,
(oldNode) => {
let newNode =
cloneDeep(
oldNode
);
newNode.data = {
...newNode.data,
};
newNode.data.node.template[
templateField
].value = target;
return newNode;
}
);
}
setData((old) => {
let newInputList =
cloneDeep(old);
newInputList![
i
].data.node.template[
templateField
].value = target;
return newInputList;
});
tweaks.buildTweakObject!(
node["data"]["id"],
target,
@ -384,25 +391,6 @@ export default function CodeTabsComponent({
]
);
}}
setDb={(value) => {
setNode(
node.data.id,
(oldNode) => {
let newNode =
cloneDeep(oldNode);
newNode.data = {
...newNode.data,
};
newNode.data.node.template[
templateField
].load_from_db =
value;
return newNode;
}
);
}}
name={templateField}
data={node.data}
/>
)}
</div>

View file

@ -5,6 +5,8 @@ import { nodeIconsLucide } from "../../utils/styleUtils";
import { cn } from "../../utils/utils";
import Loading from "../ui/loading";
import { useEffect, useState } from "react";
const ForwardedIconComponent = memo(
forwardRef(
(
@ -18,9 +20,18 @@ const ForwardedIconComponent = memo(
}: IconComponentProps,
ref
) => {
const [showFallback, setShowFallback] = useState(false);
useEffect(() => {
const timer = setTimeout(() => {
setShowFallback(true);
}, 30);
return () => clearTimeout(timer);
}, []);
let TargetIcon = nodeIconsLucide[name];
if (!TargetIcon) {
// check if name exists in dynamicIconImports
if (!dynamicIconImports[name]) {
TargetIcon = nodeIconsLucide["unknown"];
} else TargetIcon = lazy(dynamicIconImports[name]);
@ -35,11 +46,15 @@ const ForwardedIconComponent = memo(
if (!TargetIcon) {
return null; // Render nothing until the icon is loaded
}
const fallback = (
const fallback = showFallback ? (
<div className={cn(className, "flex items-center justify-center")}>
<Loading />
</div>
) : (
<div className={className}></div>
);
return (
<Suspense fallback={fallback}>
<TargetIcon

View file

@ -406,9 +406,11 @@ export async function onLogin(user: LoginType) {
}
}
export async function autoLogin() {
export async function autoLogin(abortSignal) {
try {
const response = await api.get(`${BASE_URL_API}auto_login`);
const response = await api.get(`${BASE_URL_API}auto_login`, {
signal: abortSignal,
});
if (response.status === 200) {
const data = response.data;

View file

@ -1,4 +1,4 @@
import { useEffect, useState } from "react";
import { useState } from "react";
import { Link, useNavigate } from "react-router-dom";
import PaginatorComponent from "../../../../components/PaginatorComponent";
import CollectionCardComponent from "../../../../components/cardComponent";
@ -24,43 +24,36 @@ export default function ComponentsComponent({
const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
const removeFlow = useFlowsManagerStore((state) => state.removeFlow);
const isLoading = useFlowsManagerStore((state) => state.isLoading);
const setExamples = useFlowsManagerStore((state) => state.setExamples);
const flows = useFlowsManagerStore((state) => state.flows);
const setSuccessData = useAlertStore((state) => state.setSuccessData);
const setErrorData = useAlertStore((state) => state.setErrorData);
const [pageSize, setPageSize] = useState(20);
const [pageIndex, setPageIndex] = useState(1);
const [loadingScreen, setLoadingScreen] = useState(true);
const navigate = useNavigate();
useEffect(() => {
if (isLoading) return;
let all = flows
.filter((f) => (f.is_component ?? false) === is_component)
.sort((a, b) => {
if (a?.updated_at && b?.updated_at) {
return (
new Date(b?.updated_at!).getTime() -
new Date(a?.updated_at!).getTime()
);
} else if (a?.updated_at && !b?.updated_at) {
return 1;
} else if (!a?.updated_at && b?.updated_at) {
return -1;
} else {
return (
new Date(b?.date_created!).getTime() -
new Date(a?.date_created!).getTime()
);
}
});
const start = (pageIndex - 1) * pageSize;
const end = start + pageSize;
setData(all.slice(start, end));
}, [flows, isLoading, pageIndex, pageSize]);
const [data, setData] = useState<FlowType[]>([]);
const all: FlowType[] = flows
.filter((f) => (f.is_component ?? false) === is_component)
.sort((a, b) => {
if (a?.updated_at && b?.updated_at) {
return (
new Date(b?.updated_at!).getTime() -
new Date(a?.updated_at!).getTime()
);
} else if (a?.updated_at && !b?.updated_at) {
return 1;
} else if (!a?.updated_at && b?.updated_at) {
return -1;
} else {
return (
new Date(b?.date_created!).getTime() -
new Date(a?.date_created!).getTime()
);
}
});
const start = (pageIndex - 1) * pageSize;
const end = start + pageSize;
const data: FlowType[] = all.slice(start, end);
const name = is_component ? "Component" : "Flow";
@ -149,7 +142,7 @@ export default function ComponentsComponent({
resetFilter();
}}
key={idx}
data={item}
data={{ is_component: item.is_component ?? false, ...item }}
disabled={isLoading}
button={
!is_component ? (

View file

@ -1,5 +1,4 @@
import { useEffect } from "react";
import { Navigate, Route, Routes, useNavigate } from "react-router-dom";
import { Navigate, Route, Routes } from "react-router-dom";
import { ProtectedAdminRoute } from "./components/authAdminGuard";
import { ProtectedRoute } from "./components/authGuard";
import { ProtectedLoginRoute } from "./components/authLoginGuard";
@ -22,13 +21,6 @@ import LoginPage from "./pages/loginPage";
import SignUp from "./pages/signUpPage";
const Router = () => {
const navigate = useNavigate();
useEffect(() => {
// Redirect from root to /flows
if (window.location.pathname === "/") {
navigate("/flows");
}
}, [navigate]);
return (
<Routes>
<Route
@ -39,6 +31,7 @@ const Router = () => {
</ProtectedRoute>
}
>
<Route index element={<Navigate replace to={"flows"} />} />
<Route
path="flows"
element={<ComponentsComponent key="flows" is_component={false} />}

View file

@ -478,8 +478,13 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
// const nextVertices will be the zip of vertexBuildData.next_vertices_ids and
// vertexBuildData.top_level_vertices
// the VertexLayerElementType as {id: next_vertices_id, layer: top_level_vertex}
// next_vertices_ids should be next_vertices_ids without the inactivated vertices
const next_vertices_ids = vertexBuildData.next_vertices_ids.filter(
(id) => !vertexBuildData.inactivated_vertices?.includes(id)
);
const nextVertices: VertexLayerElementType[] = zip(
vertexBuildData.next_vertices_ids,
next_vertices_ids,
vertexBuildData.top_level_vertices
).map(([id, reference]) => ({ id: id!, reference }));
@ -489,7 +494,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
];
const newIds = [
...get().verticesBuild!.verticesIds,
...vertexBuildData.next_vertices_ids,
...next_vertices_ids,
];
get().updateVerticesBuild({
verticesIds: newIds,
@ -598,7 +603,10 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
set({
verticesBuild: {
...verticesBuild,
// remove the vertices from the list of vertices ids
// that are going to be built
verticesIds: get().verticesBuild!.verticesIds.filter(
// keep the vertices that are not in the list of vertices to remove
(vertex) => !vertices.includes(vertex)
),
},

View file

@ -323,7 +323,7 @@
muted-foreground is too strong, maybe use a lighter shade of it?
*/
@apply border-none ring ring-muted-foreground;
@apply border-none ring grayscale;
}
.built-invalid-status {
@apply border-none ring ring-[#FF9090];

View file

@ -166,14 +166,26 @@ export async function buildVertices({
!useFlowStore
.getState()
.verticesBuild?.verticesIds.includes(element.id) &&
!useFlowStore
.getState()
.verticesBuild?.verticesIds.includes(element.reference ?? "") &&
onBuildUpdate
) {
// If it is, skip building and set the state to inactive
onBuildUpdate(
getInactiveVertexData(element.id),
BuildStatus.INACTIVE,
runId
);
if (element.id) {
onBuildUpdate(
getInactiveVertexData(element.id),
BuildStatus.INACTIVE,
runId
);
}
if (element.reference) {
onBuildUpdate(
getInactiveVertexData(element.reference),
BuildStatus.INACTIVE,
runId
);
}
buildResults.push(false);
return;
}