Merge branch 'dev' into refactor/utils
This commit is contained in:
cristhianzl
commit
1dccd33f48
26 changed files with 586 additions and 332 deletions
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@ -26,7 +26,8 @@ The `Astra DB` initializes a vector store using Astra DB from records. It create
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- **Collection Indexing Policy:** Indexing policy for the collection.
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||||
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||||
<Admonition type="note" title="Note">
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||||
Ensure you configure the necessary Astra DB token and API endpoint before starting.
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||||
Ensure you configure the necessary Astra DB token and API endpoint before
|
||||
starting.
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||||
</Admonition>
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||||
|
||||
---
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||||
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@ -96,6 +97,44 @@ For detailed documentation and integration guides, please refer to the [Chroma C
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|||
|
||||
---
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### Couchbase
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`Couchbase` builds a Couchbase vector store from records, streamlining the storage and retrieval of documents.
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**Parameters:**
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||||
- **Embedding:** Model used by Couchbase.
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- **Input:** Documents or records.
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||||
- **Couchbase Cluster Connection String:** Cluster Connection string.
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||||
- **Couchbase Cluster Username:** Cluster Username.
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||||
- **Couchbase Cluster Password:** Cluster Password.
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||||
- **Bucket Name:** Bucket identifier in Couchbase.
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||||
- **Scope Name:** Scope identifier in Couchbase.
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||||
- **Collection Name:** Collection identifier in Couchbase.
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||||
- **Index Name:** Index identifier.
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||||
|
||||
For detailed documentation and integration guides, please refer to the [Couchbase Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/couchbase).
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||||
|
||||
---
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||||
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||||
### Couchbase Search
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||||
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||||
`CouchbaseSearch` leverages the Couchbase component to search for documents based on similarity metric.
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||||
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||||
**Parameters:**
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||||
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||||
- **Input:** Search query.
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||||
- **Embedding:** Model used in the Vector Store.
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||||
- **Couchbase Cluster Connection String:** Cluster Connection string.
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||||
- **Couchbase Cluster Username:** Cluster Username.
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||||
- **Couchbase Cluster Password:** Cluster Password.
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||||
- **Bucket Name:** Bucket identifier.
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||||
- **Scope Name:** Scope identifier.
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||||
- **Collection Name:** Collection identifier in Couchbase.
|
||||
- **Index Name:** Index identifier.
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||||
|
||||
---
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||||
|
||||
### FAISS
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||||
|
||||
The `FAISS` component manages document ingestion into a FAISS Vector Store, optimizing document indexing and retrieval.
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@ -278,7 +317,8 @@ For more details, see the [PGVector Component Documentation](https://python.lang
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|||
For detailed documentation, refer to the [Redis Documentation](https://python.langchain.com/docs/integrations/vectorstores/redis).
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||||
|
||||
<Admonition type="note" title="Note">
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||||
Ensure the Redis server URL and index name are configured correctly. Provide a schema if no documents are available.
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||||
Ensure the Redis server URL and index name are configured correctly. Provide a
|
||||
schema if no documents are available.
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||||
</Admonition>
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||||
|
||||
---
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||||
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@ -389,7 +429,8 @@ For more information, consult the [Vectara Component Documentation](https://pyth
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|||
For more details, see the [Weaviate Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/weaviate).
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||||
|
||||
<Admonition type="note" title="Note">
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||||
Ensure Weaviate instance is running and accessible. Verify API key, index name, text key, and attributes are set correctly.
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||||
Ensure Weaviate instance is running and accessible. Verify API key, index
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||||
name, text key, and attributes are set correctly.
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||||
</Admonition>
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||||
|
||||
---
|
||||
|
|
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@ -143,7 +143,7 @@ The RAG flow is a bit more complex. It consists of:
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|||
style={{ width: "80%", margin: "20px auto" }}
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||||
/>
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||||
|
||||
To run it all we have to do is click on the ⚡ _Run_ button and start interacting with your RAG application.
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||||
To run it all we have to do is click on the 🤖 _Playground_ button and start interacting with your RAG application.
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||||
|
||||
<ZoomableImage
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||||
alt="Docusaurus themed image"
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||||
|
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|
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BIN
docs/static/img/astra-rag-flow-run.png
vendored
BIN
docs/static/img/astra-rag-flow-run.png
vendored
Binary file not shown.
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Before Width: | Height: | Size: 190 KiB After Width: | Height: | Size: 93 KiB |
272
poetry.lock
generated
272
poetry.lock
generated
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@ -1193,17 +1193,6 @@ files = [
|
|||
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "colorclass"
|
||||
version = "2.2.2"
|
||||
description = "Colorful worry-free console applications for Linux, Mac OS X, and Windows."
|
||||
optional = false
|
||||
python-versions = ">=2.6"
|
||||
files = [
|
||||
{file = "colorclass-2.2.2-py2.py3-none-any.whl", hash = "sha256:6f10c273a0ef7a1150b1120b6095cbdd68e5cf36dfd5d0fc957a2500bbf99a55"},
|
||||
{file = "colorclass-2.2.2.tar.gz", hash = "sha256:6d4fe287766166a98ca7bc6f6312daf04a0481b1eda43e7173484051c0ab4366"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "coloredlogs"
|
||||
version = "15.0.1"
|
||||
|
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@ -1255,16 +1244,6 @@ traitlets = ">=4"
|
|||
[package.extras]
|
||||
test = ["pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "compressed-rtf"
|
||||
version = "1.0.6"
|
||||
description = "Compressed Rich Text Format (RTF) compression and decompression package"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "compressed_rtf-1.0.6.tar.gz", hash = "sha256:c1c827f1d124d24608981a56e8b8691eb1f2a69a78ccad6440e7d92fde1781dd"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "configargparse"
|
||||
version = "1.7"
|
||||
|
|
@ -1280,6 +1259,40 @@ files = [
|
|||
test = ["PyYAML", "mock", "pytest"]
|
||||
yaml = ["PyYAML"]
|
||||
|
||||
[[package]]
|
||||
name = "couchbase"
|
||||
version = "4.2.1"
|
||||
description = "Python Client for Couchbase"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "couchbase-4.2.1-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:7ad4c4462879f456a9067ac1788e62d852509439bac3538b9bc459a754666481"},
|
||||
{file = "couchbase-4.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:06d91891c599ba0f5052e594ac025a2ca6ab7885e528b854ac9c125df7c74146"},
|
||||
{file = "couchbase-4.2.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0191d4a631ead533551cb9a214704ad5f3dfff2029e21a23b57725a0b5666b25"},
|
||||
{file = "couchbase-4.2.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b206790d6834a18c5e457f9a70f44774f476f3acccf9f22e8c1b5283a5bd03fa"},
|
||||
{file = "couchbase-4.2.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c5ca571b9ce017ecbd447de12cd46e213f93e0664bec6fca0a06e1768db1a4f8"},
|
||||
{file = "couchbase-4.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:675c615cfd4b04e73e94cf03c786da5105d94527f5c3a087813dba477a1379e9"},
|
||||
{file = "couchbase-4.2.1-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:4cd09eedf162dc28386d9c6490e832c25068406c0f5d70a0417c0b1445394651"},
|
||||
{file = "couchbase-4.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfebb11551c6d947ce6297ab02b5006b1ac8739dda3e10d41896db0dc8672915"},
|
||||
{file = "couchbase-4.2.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:39e742ccfe90a0e59e6e1b0e12f0fe224a736c0207b218ef48048052f926e1c6"},
|
||||
{file = "couchbase-4.2.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f9ba24efddf47f30603275f5433434d8759a55233c78b3e4bc613c502ac429e9"},
|
||||
{file = "couchbase-4.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:adfca3929f07fb4385dc52f08d3a60634012f364b176f95ab023cdd1bb7fe9c0"},
|
||||
{file = "couchbase-4.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:e1c68b28c6f0475961afb9fe626ad2bac8a5643b53f719675386f060db4b6e19"},
|
||||
{file = "couchbase-4.2.1-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:137512462426cd495954c1815d78115d109308a4d9f8843b638285104388a359"},
|
||||
{file = "couchbase-4.2.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5987e5edcce7696e5f75b35be91f44fa69fb5eb95dba0957ad66f789affcdb36"},
|
||||
{file = "couchbase-4.2.1-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:080cb0fc333bd4a641ede4ee14ff0c7dbe95067fbb280826ea546681e0b9f9e3"},
|
||||
{file = "couchbase-4.2.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e317c2628a4a917083e8e7ce8e2662432b6a12ebac65fc00de6da2b37ab5975c"},
|
||||
{file = "couchbase-4.2.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:de7f8699ae344e2e96706ee0eac67e96bfdd3412fb18dcfb81d8ba5837dd3dfb"},
|
||||
{file = "couchbase-4.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:82b9deb8b1fe8e8d7dde9c232ac5f4c11ff0f067930837af0e7769706e6a9453"},
|
||||
{file = "couchbase-4.2.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:44502d069ea17a8d692b7c88d84bc0df2cf4e944cde337c8eb3175bc0b835bb9"},
|
||||
{file = "couchbase-4.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c0f131b816a7d91b755232872ba10f6d6ca5a715e595ee9534478bc97a518ae8"},
|
||||
{file = "couchbase-4.2.1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e9b9deb312bbe5f9a8e63828f9de877714c4b09b7d88f7dc87b60e5ffb2a13e6"},
|
||||
{file = "couchbase-4.2.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:71e8da251850d795975c3569c01d35ba1a556825dc7d9549ff9918d148255804"},
|
||||
{file = "couchbase-4.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d04492144ce520c612a2f8f265278c9f0cdf62fdd6f703e7a3210a7476b228f6"},
|
||||
{file = "couchbase-4.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:3f91b7699ea7b8253cf34c9fb6e191de9b2edfd7aa4d6f97b29c10b9a1670444"},
|
||||
{file = "couchbase-4.2.1.tar.gz", hash = "sha256:dc1c60d3f2fc179db8225aac4cc30d601d73cf2535aaf023d607e86be2d7dd78"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "coverage"
|
||||
version = "7.5.1"
|
||||
|
|
@ -1769,27 +1782,6 @@ files = [
|
|||
{file = "duckdb-0.10.2.tar.gz", hash = "sha256:0f609c9d5f941f1ecde810f010dd9321cd406a552c1df20318a13fa64247f67f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "easygui"
|
||||
version = "0.98.3"
|
||||
description = "EasyGUI is a module for very simple, very easy GUI programming in Python. EasyGUI is different from other GUI generators in that EasyGUI is NOT event-driven. Instead, all GUI interactions are invoked by simple function calls."
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "easygui-0.98.3-py2.py3-none-any.whl", hash = "sha256:33498710c68b5376b459cd3fc48d1d1f33822139eb3ed01defbc0528326da3ba"},
|
||||
{file = "easygui-0.98.3.tar.gz", hash = "sha256:d653ff79ee1f42f63b5a090f2f98ce02335d86ad8963b3ce2661805cafe99a04"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ebcdic"
|
||||
version = "1.1.1"
|
||||
description = "Additional EBCDIC codecs"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "ebcdic-1.1.1-py2.py3-none-any.whl", hash = "sha256:33b4cb729bc2d0bf46cc1847b0e5946897cb8d3f53520c5b9aa5fa98d7e735f1"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ecdsa"
|
||||
version = "0.19.0"
|
||||
|
|
@ -1905,33 +1897,6 @@ files = [
|
|||
[package.extras]
|
||||
tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
|
||||
|
||||
[[package]]
|
||||
name = "extract-msg"
|
||||
version = "0.47.0"
|
||||
description = "Extracts emails and attachments saved in Microsoft Outlook's .msg files"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "extract_msg-0.47.0-py2.py3-none-any.whl", hash = "sha256:ab177546d6ebbea7818e9acb352f6f8cce3821e39319405e6a873808238564a5"},
|
||||
{file = "extract_msg-0.47.0.tar.gz", hash = "sha256:d3ed5fdc8cdff3567421d7e4183511905eb3c83d2605e6c9335c653efa6cfb41"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
beautifulsoup4 = ">=4.11.1,<4.13"
|
||||
compressed-rtf = ">=1.0.6,<2"
|
||||
ebcdic = ">=1.1.1,<2"
|
||||
olefile = "0.47"
|
||||
red-black-tree-mod = "1.20"
|
||||
RTFDE = ">=0.1.1,<0.2"
|
||||
tzlocal = ">=4.2,<6"
|
||||
|
||||
[package.extras]
|
||||
all = ["extract-msg[encoding]", "extract-msg[image]", "extract-msg[mime]"]
|
||||
encoding = ["chardet (>=3.0.0,<6)"]
|
||||
image = ["Pillow (>=9.5.0,<10)"]
|
||||
mime = ["python-magic (>=0.4.27,<0.5)"]
|
||||
readthedocs = ["sphinx-rtd-theme"]
|
||||
|
||||
[[package]]
|
||||
name = "faiss-cpu"
|
||||
version = "1.8.0"
|
||||
|
|
@ -3218,16 +3183,6 @@ files = [
|
|||
{file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "html2text"
|
||||
version = "2024.2.26"
|
||||
description = "Turn HTML into equivalent Markdown-structured text."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "html2text-2024.2.26.tar.gz", hash = "sha256:05f8e367d15aaabc96415376776cdd11afd5127a77fce6e36afc60c563ca2c32"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "httpcore"
|
||||
version = "1.0.5"
|
||||
|
|
@ -4400,23 +4355,6 @@ orjson = ">=3.9.14,<4.0.0"
|
|||
pydantic = ">=1,<3"
|
||||
requests = ">=2,<3"
|
||||
|
||||
[[package]]
|
||||
name = "lark"
|
||||
version = "1.1.8"
|
||||
description = "a modern parsing library"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "lark-1.1.8-py3-none-any.whl", hash = "sha256:7d2c221a66a8165f3f81aacb958d26033d40d972fdb70213ab0a2e0627e29c86"},
|
||||
{file = "lark-1.1.8.tar.gz", hash = "sha256:7ef424db57f59c1ffd6f0d4c2b705119927f566b68c0fe1942dddcc0e44391a5"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
atomic-cache = ["atomicwrites"]
|
||||
interegular = ["interegular (>=0.3.1,<0.4.0)"]
|
||||
nearley = ["js2py"]
|
||||
regex = ["regex"]
|
||||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "1.37.19"
|
||||
|
|
@ -4884,13 +4822,9 @@ files = [
|
|||
{file = "lxml-5.2.2-cp36-cp36m-win_amd64.whl", hash = "sha256:edcfa83e03370032a489430215c1e7783128808fd3e2e0a3225deee278585196"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:28bf95177400066596cdbcfc933312493799382879da504633d16cf60bba735b"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a745cc98d504d5bd2c19b10c79c61c7c3df9222629f1b6210c0368177589fb8"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b590b39ef90c6b22ec0be925b211298e810b4856909c8ca60d27ffbca6c12e6"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b336b0416828022bfd5a2e3083e7f5ba54b96242159f83c7e3eebaec752f1716"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:c2faf60c583af0d135e853c86ac2735ce178f0e338a3c7f9ae8f622fd2eb788c"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:4bc6cb140a7a0ad1f7bc37e018d0ed690b7b6520ade518285dc3171f7a117905"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7ff762670cada8e05b32bf1e4dc50b140790909caa8303cfddc4d702b71ea184"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:57f0a0bbc9868e10ebe874e9f129d2917750adf008fe7b9c1598c0fbbfdde6a6"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:a6d2092797b388342c1bc932077ad232f914351932353e2e8706851c870bca1f"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:60499fe961b21264e17a471ec296dcbf4365fbea611bf9e303ab69db7159ce61"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-win32.whl", hash = "sha256:d9b342c76003c6b9336a80efcc766748a333573abf9350f4094ee46b006ec18f"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:b16db2770517b8799c79aa80f4053cd6f8b716f21f8aca962725a9565ce3ee40"},
|
||||
|
|
@ -5349,21 +5283,6 @@ files = [
|
|||
{file = "msgpack-1.0.8.tar.gz", hash = "sha256:95c02b0e27e706e48d0e5426d1710ca78e0f0628d6e89d5b5a5b91a5f12274f3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "msoffcrypto-tool"
|
||||
version = "5.4.0"
|
||||
description = "Python tool and library for decrypting and encrypting MS Office files using a password or other keys"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8"
|
||||
files = [
|
||||
{file = "msoffcrypto_tool-5.4.0-py3-none-any.whl", hash = "sha256:0e39319f982c22a449505e5ab7da18a8ae76376a0008e180e1528a0875525da7"},
|
||||
{file = "msoffcrypto_tool-5.4.0.tar.gz", hash = "sha256:0f5f45d91d1eaa2ca0b3adefb5aac4932afb50c678dfa8d7da390d187f1dac39"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
cryptography = ">=35.0"
|
||||
olefile = ">=0.46"
|
||||
|
||||
[[package]]
|
||||
name = "multidict"
|
||||
version = "6.0.5"
|
||||
|
|
@ -5861,42 +5780,6 @@ rsa = ["cryptography (>=3.0.0)"]
|
|||
signals = ["blinker (>=1.4.0)"]
|
||||
signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
|
||||
|
||||
[[package]]
|
||||
name = "olefile"
|
||||
version = "0.47"
|
||||
description = "Python package to parse, read and write Microsoft OLE2 files (Structured Storage or Compound Document, Microsoft Office)"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
||||
files = [
|
||||
{file = "olefile-0.47-py2.py3-none-any.whl", hash = "sha256:543c7da2a7adadf21214938bb79c83ea12b473a4b6ee4ad4bf854e7715e13d1f"},
|
||||
{file = "olefile-0.47.zip", hash = "sha256:599383381a0bf3dfbd932ca0ca6515acd174ed48870cbf7fee123d698c192c1c"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
tests = ["pytest", "pytest-cov"]
|
||||
|
||||
[[package]]
|
||||
name = "oletools"
|
||||
version = "0.60.1"
|
||||
description = "Python tools to analyze security characteristics of MS Office and OLE files (also called Structured Storage, Compound File Binary Format or Compound Document File Format), for Malware Analysis and Incident Response #DFIR"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "oletools-0.60.1-py2.py3-none-any.whl", hash = "sha256:edef92374e688989a39269eb9a11142fb20a023629c23538c849c14d1d1144ea"},
|
||||
{file = "oletools-0.60.1.zip", hash = "sha256:67a796da4c4b8e2feb9a6b2495bef8798a3323a75512de4e5669d9dc9d1fae31"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
colorclass = "*"
|
||||
easygui = "*"
|
||||
msoffcrypto-tool = {version = "*", markers = "platform_python_implementation != \"PyPy\" or python_version >= \"3\" and (platform_system != \"Windows\" and platform_system != \"Darwin\")"}
|
||||
olefile = ">=0.46"
|
||||
pcodedmp = ">=1.2.5"
|
||||
pyparsing = ">=2.1.0,<3"
|
||||
|
||||
[package.extras]
|
||||
full = ["XLMMacroDeobfuscator"]
|
||||
|
||||
[[package]]
|
||||
name = "onnxruntime"
|
||||
version = "1.18.0"
|
||||
|
|
@ -6352,21 +6235,6 @@ bcrypt = ["bcrypt (>=3.1.0)"]
|
|||
build-docs = ["cloud-sptheme (>=1.10.1)", "sphinx (>=1.6)", "sphinxcontrib-fulltoc (>=1.2.0)"]
|
||||
totp = ["cryptography"]
|
||||
|
||||
[[package]]
|
||||
name = "pcodedmp"
|
||||
version = "1.2.6"
|
||||
description = "A VBA p-code disassembler"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "pcodedmp-1.2.6-py2.py3-none-any.whl", hash = "sha256:4441f7c0ab4cbda27bd4668db3b14f36261d86e5059ce06c0828602cbe1c4278"},
|
||||
{file = "pcodedmp-1.2.6.tar.gz", hash = "sha256:025f8c809a126f45a082ffa820893e6a8d990d9d7ddb68694b5a9f0a6dbcd955"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
oletools = ">=0.54"
|
||||
win-unicode-console = {version = "*", markers = "platform_system == \"Windows\" and platform_python_implementation != \"PyPy\""}
|
||||
|
||||
[[package]]
|
||||
name = "pexpect"
|
||||
version = "4.9.0"
|
||||
|
|
@ -7428,19 +7296,6 @@ files = [
|
|||
{file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pysrt"
|
||||
version = "1.1.2"
|
||||
description = "SubRip (.srt) subtitle parser and writer"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "pysrt-1.1.2.tar.gz", hash = "sha256:b4f844ba33e4e7743e9db746492f3a193dc0bc112b153914698e7c1cdeb9b0b9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
chardet = "*"
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "8.2.1"
|
||||
|
|
@ -7988,16 +7843,6 @@ python-dateutil = ">=2.8.1,<3.0.0"
|
|||
typing-extensions = ">=4.11.0,<5.0.0"
|
||||
websockets = ">=11,<13"
|
||||
|
||||
[[package]]
|
||||
name = "red-black-tree-mod"
|
||||
version = "1.20"
|
||||
description = "Flexible python implementation of red black trees"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "red-black-tree-mod-1.20.tar.gz", hash = "sha256:2448e6fc9cbf1be204c753f352c6ee49aa8156dbf1faa57dfc26bd7705077e0a"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "redis"
|
||||
version = "5.0.4"
|
||||
|
|
@ -8189,25 +8034,6 @@ files = [
|
|||
[package.dependencies]
|
||||
pyasn1 = ">=0.1.3"
|
||||
|
||||
[[package]]
|
||||
name = "rtfde"
|
||||
version = "0.1.1"
|
||||
description = "A library for extracting HTML content from RTF encapsulated HTML as commonly found in the exchange MSG email format."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "RTFDE-0.1.1-py3-none-any.whl", hash = "sha256:ea7ab0e0b9d4af08415f5017ecff91d74e24216a5e4e4682155cedc478035e99"},
|
||||
{file = "RTFDE-0.1.1.tar.gz", hash = "sha256:9e43485e79b2dd1018127735d8134f65d2a9d73af314d2a101f10346333b241e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
lark = "1.1.8"
|
||||
oletools = ">=0.56"
|
||||
|
||||
[package.extras]
|
||||
dev = ["coverage (>=7.2.2)", "lxml (>=4.6)", "mypy (>=1.1.1)", "pdoc3 (>=0.10.0)"]
|
||||
msg-parse = ["extract-msg (>=0.27)"]
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.3.7"
|
||||
|
|
@ -9531,23 +9357,6 @@ files = [
|
|||
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tzlocal"
|
||||
version = "5.2"
|
||||
description = "tzinfo object for the local timezone"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"},
|
||||
{file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
tzdata = {version = "*", markers = "platform_system == \"Windows\""}
|
||||
|
||||
[package.extras]
|
||||
devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"]
|
||||
|
||||
[[package]]
|
||||
name = "ujson"
|
||||
version = "5.10.0"
|
||||
|
|
@ -10022,16 +9831,6 @@ files = [
|
|||
beautifulsoup4 = "*"
|
||||
requests = ">=2.0.0,<3.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "win-unicode-console"
|
||||
version = "0.5"
|
||||
description = "Enable Unicode input and display when running Python from Windows console."
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "win_unicode_console-0.5.zip", hash = "sha256:d4142d4d56d46f449d6f00536a73625a871cba040f0bc1a2e305a04578f07d1e"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "win32-setctime"
|
||||
version = "1.1.0"
|
||||
|
|
@ -10459,4 +10258,5 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<3.13"
|
||||
content-hash = "1e59b887d9cef40cd980e2cb698c48e135911400176d8bef1012ddc8853e420a"
|
||||
content-hash = "c68a14e273363466c1cea2bacec1798a6894d2bb18cf79ba443dc65c9344c57d"
|
||||
|
||||
|
|
|
|||
|
|
@ -33,7 +33,6 @@ google-api-python-client = "^2.118.0"
|
|||
huggingface-hub = { version = "^0.20.0", extras = ["inference"] }
|
||||
llama-cpp-python = { version = "~0.2.0", optional = true }
|
||||
networkx = "^3.1"
|
||||
pysrt = "^1.1.2"
|
||||
fake-useragent = "^1.4.0"
|
||||
psycopg2-binary = "^2.9.6"
|
||||
pyarrow = "^14.0.0"
|
||||
|
|
@ -60,7 +59,6 @@ pywin32 = { version = "^306", markers = "sys_platform == 'win32'" }
|
|||
langfuse = "^2.9.0"
|
||||
metal-sdk = "^2.5.0"
|
||||
markupsafe = "^2.1.3"
|
||||
extract-msg = "^0.47.0"
|
||||
# jq is not available for windows
|
||||
boto3 = "^1.34.0"
|
||||
numexpr = "^2.8.6"
|
||||
|
|
@ -74,7 +72,6 @@ pytube = "^15.0.0"
|
|||
llama-index = "^0.10.13"
|
||||
# unstructured = { extras = ["md"], version = "^0.12.4" }
|
||||
dspy-ai = "^2.4.0"
|
||||
html2text = "^2024.2.26"
|
||||
assemblyai = "^0.23.1"
|
||||
litellm = "^1.34.22"
|
||||
chromadb = "^0.4.24"
|
||||
|
|
@ -86,6 +83,7 @@ langchain-google-vertexai = "^1.0.3"
|
|||
langchain-groq = "^0.1.3"
|
||||
langchain-pinecone = "^0.1.0"
|
||||
langchain-mistralai = "^0.1.6"
|
||||
couchbase = "^4.2.1"
|
||||
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
|
|
|
|||
|
|
@ -1,3 +1,4 @@
|
|||
import os
|
||||
import warnings
|
||||
from pathlib import Path
|
||||
from typing import TYPE_CHECKING, Optional
|
||||
|
|
@ -140,7 +141,10 @@ def get_file_path_value(file_path):
|
|||
# If the path is not in the cache dir, return empty string
|
||||
# This is to prevent access to files outside the cache dir
|
||||
# If the path is not a file, return empty string
|
||||
if not path.exists() or not str(path).startswith(user_cache_dir("langflow", "langflow")):
|
||||
if not str(path).startswith(user_cache_dir("langflow", "langflow")):
|
||||
return ""
|
||||
|
||||
if not path.exists():
|
||||
return ""
|
||||
return file_path
|
||||
|
||||
|
|
|
|||
|
|
@ -53,7 +53,7 @@ async def try_running_celery_task(vertex, user_id):
|
|||
|
||||
@router.post("/build/{flow_id}/vertices", response_model=VerticesOrderResponse)
|
||||
async def retrieve_vertices_order(
|
||||
flow_id: str,
|
||||
flow_id: uuid.UUID,
|
||||
data: Optional[Annotated[Optional[FlowDataRequest], Body(embed=True)]] = None,
|
||||
stop_component_id: Optional[str] = None,
|
||||
start_component_id: Optional[str] = None,
|
||||
|
|
@ -78,6 +78,7 @@ async def retrieve_vertices_order(
|
|||
HTTPException: If there is an error checking the build status.
|
||||
"""
|
||||
try:
|
||||
flow_id = str(flow_id)
|
||||
# First, we need to check if the flow_id is in the cache
|
||||
if not data:
|
||||
graph = await build_and_cache_graph_from_db(flow_id=flow_id, session=session, chat_service=chat_service)
|
||||
|
|
@ -119,7 +120,7 @@ async def retrieve_vertices_order(
|
|||
|
||||
@router.post("/build/{flow_id}/vertices/{vertex_id}")
|
||||
async def build_vertex(
|
||||
flow_id: str,
|
||||
flow_id: uuid.UUID,
|
||||
vertex_id: str,
|
||||
background_tasks: BackgroundTasks,
|
||||
inputs: Annotated[Optional[InputValueRequest], Body(embed=True)] = None,
|
||||
|
|
@ -143,8 +144,8 @@ async def build_vertex(
|
|||
HTTPException: If there is an error building the vertex.
|
||||
|
||||
"""
|
||||
flow_id = str(flow_id)
|
||||
|
||||
start_time = time.perf_counter()
|
||||
next_runnable_vertices = []
|
||||
top_level_vertices = []
|
||||
try:
|
||||
|
|
@ -158,8 +159,7 @@ async def build_vertex(
|
|||
)
|
||||
else:
|
||||
graph = cache.get("result")
|
||||
result_data_response = ResultDataResponse(results={})
|
||||
duration = ""
|
||||
ResultDataResponse(results={})
|
||||
vertex = graph.get_vertex(vertex_id)
|
||||
try:
|
||||
lock = chat_service._cache_locks[flow_id]
|
||||
|
|
@ -240,7 +240,7 @@ async def build_vertex(
|
|||
|
||||
@router.get("/build/{flow_id}/{vertex_id}/stream", response_class=StreamingResponse)
|
||||
async def build_vertex_stream(
|
||||
flow_id: str,
|
||||
flow_id: uuid.UUID,
|
||||
vertex_id: str,
|
||||
session_id: Optional[str] = None,
|
||||
chat_service: "ChatService" = Depends(get_chat_service),
|
||||
|
|
@ -272,6 +272,7 @@ async def build_vertex_stream(
|
|||
HTTPException: If an error occurs while building the vertex.
|
||||
"""
|
||||
try:
|
||||
flow_id = str(flow_id)
|
||||
|
||||
async def stream_vertex():
|
||||
try:
|
||||
|
|
|
|||
|
|
@ -1,5 +1,6 @@
|
|||
from http import HTTPStatus
|
||||
from typing import Annotated, List, Optional, Union
|
||||
from uuid import UUID
|
||||
|
||||
import sqlalchemy as sa
|
||||
from fastapi import APIRouter, Body, Depends, HTTPException, UploadFile, status
|
||||
|
|
@ -54,7 +55,7 @@ def get_all(
|
|||
@router.post("/run/{flow_id}", response_model=RunResponse, response_model_exclude_none=True)
|
||||
async def simplified_run_flow(
|
||||
db: Annotated[Session, Depends(get_session)],
|
||||
flow_id: str,
|
||||
flow_id: UUID,
|
||||
input_request: SimplifiedAPIRequest = SimplifiedAPIRequest(),
|
||||
stream: bool = False,
|
||||
api_key_user: User = Depends(api_key_security),
|
||||
|
|
@ -111,6 +112,7 @@ async def simplified_run_flow(
|
|||
session_id = input_request.session_id
|
||||
|
||||
try:
|
||||
flow_id = str(flow_id)
|
||||
task_result: List[RunOutputs] = []
|
||||
artifacts = {}
|
||||
if input_request.session_id:
|
||||
|
|
@ -187,7 +189,7 @@ async def simplified_run_flow(
|
|||
@router.post("/run/advanced/{flow_id}", response_model=RunResponse, response_model_exclude_none=True)
|
||||
async def experimental_run_flow(
|
||||
session: Annotated[Session, Depends(get_session)],
|
||||
flow_id: str,
|
||||
flow_id: UUID,
|
||||
inputs: Optional[List[InputValueRequest]] = [InputValueRequest(components=[], input_value="")],
|
||||
outputs: Optional[List[str]] = [],
|
||||
tweaks: Annotated[Optional[Tweaks], Body(embed=True)] = None, # noqa: F821
|
||||
|
|
@ -235,6 +237,7 @@ async def experimental_run_flow(
|
|||
This endpoint facilitates complex flow executions with customized inputs, outputs, and configurations, catering to diverse application requirements.
|
||||
"""
|
||||
try:
|
||||
flow_id = str(flow_id)
|
||||
if outputs is None:
|
||||
outputs = []
|
||||
|
||||
|
|
@ -357,9 +360,10 @@ async def get_task_status(task_id: str):
|
|||
)
|
||||
async def create_upload_file(
|
||||
file: UploadFile,
|
||||
flow_id: str,
|
||||
flow_id: UUID,
|
||||
):
|
||||
try:
|
||||
flow_id = str(flow_id)
|
||||
file_path = save_uploaded_file(file, folder_name=flow_id)
|
||||
|
||||
return UploadFileResponse(
|
||||
|
|
@ -400,23 +404,6 @@ async def custom_component(
|
|||
return built_frontend_node
|
||||
|
||||
|
||||
@router.post("/custom_component/reload", status_code=HTTPStatus.OK)
|
||||
async def reload_custom_component(path: str, user: User = Depends(get_current_active_user)):
|
||||
from langflow.interface.custom.utils import build_custom_component_template
|
||||
|
||||
try:
|
||||
reader = DirectoryReader("")
|
||||
valid, content = reader.process_file(path)
|
||||
if not valid:
|
||||
raise ValueError(content)
|
||||
|
||||
extractor = CustomComponent(code=content)
|
||||
frontend_node, _ = build_custom_component_template(extractor, user_id=user.id)
|
||||
return frontend_node
|
||||
except Exception as exc:
|
||||
raise HTTPException(status_code=400, detail=str(exc))
|
||||
|
||||
|
||||
@router.post("/custom_component/update", status_code=HTTPStatus.OK)
|
||||
async def custom_component_update(
|
||||
code_request: UpdateCustomComponentRequest,
|
||||
|
|
|
|||
|
|
@ -1,6 +1,7 @@
|
|||
import hashlib
|
||||
from http import HTTPStatus
|
||||
from io import BytesIO
|
||||
from uuid import UUID
|
||||
|
||||
from fastapi import APIRouter, Depends, HTTPException, UploadFile
|
||||
from fastapi.responses import StreamingResponse
|
||||
|
|
@ -20,10 +21,11 @@ router = APIRouter(tags=["Files"], prefix="/files")
|
|||
# then finds it in the database and returns it while
|
||||
# using the current user as the owner
|
||||
def get_flow_id(
|
||||
flow_id: str,
|
||||
flow_id: UUID,
|
||||
current_user=Depends(get_current_active_user),
|
||||
session=Depends(get_session),
|
||||
):
|
||||
flow_id = str(flow_id)
|
||||
# AttributeError: 'SelectOfScalar' object has no attribute 'first'
|
||||
flow = session.get(Flow, flow_id)
|
||||
if not flow:
|
||||
|
|
@ -36,10 +38,11 @@ def get_flow_id(
|
|||
@router.post("/upload/{flow_id}", status_code=HTTPStatus.CREATED)
|
||||
async def upload_file(
|
||||
file: UploadFile,
|
||||
flow_id: str = Depends(get_flow_id),
|
||||
flow_id: UUID = Depends(get_flow_id),
|
||||
storage_service: StorageService = Depends(get_storage_service),
|
||||
):
|
||||
try:
|
||||
flow_id = str(flow_id)
|
||||
file_content = await file.read()
|
||||
file_name = file.filename or hashlib.sha256(file_content).hexdigest()
|
||||
folder = flow_id
|
||||
|
|
@ -50,8 +53,9 @@ async def upload_file(
|
|||
|
||||
|
||||
@router.get("/download/{flow_id}/{file_name}")
|
||||
async def download_file(file_name: str, flow_id: str, storage_service: StorageService = Depends(get_storage_service)):
|
||||
async def download_file(file_name: str, flow_id: UUID, storage_service: StorageService = Depends(get_storage_service)):
|
||||
try:
|
||||
flow_id = str(flow_id)
|
||||
extension = file_name.split(".")[-1]
|
||||
|
||||
if not extension:
|
||||
|
|
@ -74,9 +78,10 @@ async def download_file(file_name: str, flow_id: str, storage_service: StorageSe
|
|||
|
||||
|
||||
@router.get("/images/{flow_id}/{file_name}")
|
||||
async def download_image(file_name: str, flow_id: str, storage_service: StorageService = Depends(get_storage_service)):
|
||||
async def download_image(file_name: str, flow_id: UUID, storage_service: StorageService = Depends(get_storage_service)):
|
||||
try:
|
||||
extension = file_name.split(".")[-1]
|
||||
flow_id = str(flow_id)
|
||||
|
||||
if not extension:
|
||||
raise HTTPException(status_code=500, detail=f"Extension not found for file {file_name}")
|
||||
|
|
@ -96,9 +101,10 @@ async def download_image(file_name: str, flow_id: str, storage_service: StorageS
|
|||
|
||||
@router.get("/list/{flow_id}")
|
||||
async def list_files(
|
||||
flow_id: str = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service)
|
||||
flow_id: UUID = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service)
|
||||
):
|
||||
try:
|
||||
flow_id = str(flow_id)
|
||||
files = await storage_service.list_files(flow_id=flow_id)
|
||||
return {"files": files}
|
||||
except Exception as e:
|
||||
|
|
@ -107,9 +113,10 @@ async def list_files(
|
|||
|
||||
@router.delete("/delete/{flow_id}/{file_name}")
|
||||
async def delete_file(
|
||||
file_name: str, flow_id: str = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service)
|
||||
file_name: str, flow_id: UUID = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service)
|
||||
):
|
||||
try:
|
||||
flow_id = str(flow_id)
|
||||
await storage_service.delete_file(flow_id=flow_id, file_name=file_name)
|
||||
return {"message": f"File {file_name} deleted successfully"}
|
||||
except Exception as e:
|
||||
|
|
|
|||
|
|
@ -0,0 +1,95 @@
|
|||
from typing import Optional, cast
|
||||
|
||||
from langchain_astradb.chat_message_histories import AstraDBChatMessageHistory
|
||||
|
||||
from langflow.base.memory.memory import BaseMemoryComponent
|
||||
from langflow.field_typing import Text
|
||||
from langflow.schema.schema import Record
|
||||
|
||||
|
||||
class AstraDBMessageReaderComponent(BaseMemoryComponent):
|
||||
display_name = "Astra DB Message Reader"
|
||||
description = "Retrieves stored chat messages from Astra DB."
|
||||
|
||||
def build_config(self):
|
||||
return {
|
||||
"session_id": {
|
||||
"display_name": "Session ID",
|
||||
"info": "Session ID of the chat history.",
|
||||
"input_types": ["Text"],
|
||||
},
|
||||
"collection_name": {
|
||||
"display_name": "Collection Name",
|
||||
"info": "Collection name for Astra DB.",
|
||||
"input_types": ["Text"],
|
||||
},
|
||||
"token": {
|
||||
"display_name": "Astra DB Application Token",
|
||||
"info": "Token for the Astra DB instance.",
|
||||
"password": True,
|
||||
},
|
||||
"api_endpoint": {
|
||||
"display_name": "Astra DB API Endpoint",
|
||||
"info": "API Endpoint for the Astra DB instance.",
|
||||
"password": True,
|
||||
},
|
||||
"namespace": {
|
||||
"display_name": "Namespace",
|
||||
"info": "Namespace for the Astra DB instance.",
|
||||
"input_types": ["Text"],
|
||||
"advanced": True,
|
||||
},
|
||||
}
|
||||
|
||||
def get_messages(self, **kwargs) -> list[Record]:
|
||||
"""
|
||||
Retrieves messages from the AstraDBChatMessageHistory memory.
|
||||
|
||||
Args:
|
||||
memory (AstraDBChatMessageHistory): The AstraDBChatMessageHistory instance to retrieve messages from.
|
||||
|
||||
Returns:
|
||||
list[Record]: A list of Record objects representing the search results.
|
||||
"""
|
||||
memory: AstraDBChatMessageHistory = cast(
|
||||
AstraDBChatMessageHistory, kwargs.get("memory")
|
||||
)
|
||||
if not memory:
|
||||
raise ValueError("AstraDBChatMessageHistory instance is required.")
|
||||
|
||||
# Get messages from the memory
|
||||
messages = memory.messages
|
||||
results = [Record.from_lc_message(message) for message in messages]
|
||||
|
||||
return list(results)
|
||||
|
||||
def build(
|
||||
self,
|
||||
session_id: Text,
|
||||
collection_name: str,
|
||||
token: str,
|
||||
api_endpoint: str,
|
||||
namespace: Optional[str] = None,
|
||||
) -> list[Record]:
|
||||
try:
|
||||
from langchain_community.chat_message_histories.astradb import (
|
||||
AstraDBChatMessageHistory,
|
||||
)
|
||||
except ImportError:
|
||||
raise ImportError(
|
||||
"Could not import langchain Astra DB integration package. "
|
||||
"Please install it with `pip install langchain-astradb`."
|
||||
)
|
||||
|
||||
memory = AstraDBChatMessageHistory(
|
||||
session_id=session_id,
|
||||
collection_name=collection_name,
|
||||
token=token,
|
||||
api_endpoint=api_endpoint,
|
||||
namespace=namespace,
|
||||
)
|
||||
|
||||
records = self.get_messages(memory=memory)
|
||||
self.status = records
|
||||
|
||||
return records
|
||||
|
|
@ -0,0 +1,117 @@
|
|||
from typing import Optional
|
||||
|
||||
from langflow.base.memory.memory import BaseMemoryComponent
|
||||
from langflow.field_typing import Text
|
||||
from langflow.schema.schema import Record
|
||||
|
||||
from langchain_core.messages import BaseMessage
|
||||
from langchain_community.chat_message_histories.astradb import AstraDBChatMessageHistory
|
||||
|
||||
|
||||
class AstraDBMessageWriterComponent(BaseMemoryComponent):
|
||||
display_name = "Astra DB Message Writer"
|
||||
description = "Writes a message to Astra DB."
|
||||
|
||||
def build_config(self):
|
||||
return {
|
||||
"input_value": {
|
||||
"display_name": "Input Record",
|
||||
"info": "Record to write to Astra DB.",
|
||||
},
|
||||
"session_id": {
|
||||
"display_name": "Session ID",
|
||||
"info": "Session ID of the chat history.",
|
||||
"input_types": ["Text"],
|
||||
},
|
||||
"collection_name": {
|
||||
"display_name": "Collection Name",
|
||||
"info": "Collection name for Astra DB.",
|
||||
"input_types": ["Text"],
|
||||
},
|
||||
"token": {
|
||||
"display_name": "Astra DB Application Token",
|
||||
"info": "Token for the Astra DB instance.",
|
||||
"password": True,
|
||||
},
|
||||
"api_endpoint": {
|
||||
"display_name": "Astra DB API Endpoint",
|
||||
"info": "API Endpoint for the Astra DB instance.",
|
||||
"password": True,
|
||||
},
|
||||
"namespace": {
|
||||
"display_name": "Namespace",
|
||||
"info": "Namespace for the Astra DB instance.",
|
||||
"input_types": ["Text"],
|
||||
"advanced": True,
|
||||
},
|
||||
}
|
||||
|
||||
def add_message(
|
||||
self,
|
||||
sender: str,
|
||||
sender_name: str,
|
||||
text: Text,
|
||||
session_id: str,
|
||||
metadata: Optional[dict] = None,
|
||||
**kwargs,
|
||||
):
|
||||
"""
|
||||
Adds a message to the AstraDBChatMessageHistory memory.
|
||||
|
||||
Args:
|
||||
sender (Text): The type of the message sender. Valid values are "Machine" or "User".
|
||||
sender_name (Text): The name of the message sender.
|
||||
text (Text): The content of the message.
|
||||
session_id (Text): The session ID associated with the message.
|
||||
metadata (dict | None, optional): Additional metadata for the message. Defaults to None.
|
||||
**kwargs: Additional keyword arguments.
|
||||
|
||||
Raises:
|
||||
ValueError: If the AstraDBChatMessageHistory instance is not provided.
|
||||
|
||||
"""
|
||||
memory: AstraDBChatMessageHistory | None = kwargs.pop("memory", None)
|
||||
if memory is None:
|
||||
raise ValueError("AstraDBChatMessageHistory instance is required.")
|
||||
|
||||
text_list = [BaseMessage(
|
||||
content=text,
|
||||
sender=sender,
|
||||
sender_name=sender_name,
|
||||
metadata=metadata,
|
||||
session_id=session_id,
|
||||
)]
|
||||
|
||||
memory.add_messages(text_list)
|
||||
|
||||
def build(
|
||||
self,
|
||||
input_value: Record,
|
||||
session_id: Text,
|
||||
collection_name: str,
|
||||
token: str,
|
||||
api_endpoint: str,
|
||||
namespace: Optional[str] = None,
|
||||
) -> Record:
|
||||
try:
|
||||
from langchain_community.chat_message_histories.astradb import (
|
||||
AstraDBChatMessageHistory,
|
||||
)
|
||||
except ImportError:
|
||||
raise ImportError(
|
||||
"Could not import langchain Astra DB integration package. "
|
||||
"Please install it with `pip install langchain-astradb`."
|
||||
)
|
||||
|
||||
memory = AstraDBChatMessageHistory(
|
||||
session_id=session_id,
|
||||
collection_name=collection_name,
|
||||
token=token,
|
||||
api_endpoint=api_endpoint,
|
||||
namespace=namespace,
|
||||
)
|
||||
|
||||
self.add_message(**input_value.data, memory=memory)
|
||||
self.status = f"Added message to Astra DB memory for session {session_id}"
|
||||
|
||||
return input_value
|
||||
|
|
@ -0,0 +1,73 @@
|
|||
from typing import List, Optional
|
||||
|
||||
from langflow.components.vectorstores.base.model import LCVectorStoreComponent
|
||||
from langflow.components.vectorstores.Couchbase import CouchbaseComponent
|
||||
from langflow.field_typing import Embeddings, NestedDict, Text
|
||||
from langflow.schema import Record
|
||||
|
||||
|
||||
class CouchbaseSearchComponent(LCVectorStoreComponent):
|
||||
display_name = "Couchbase Search"
|
||||
description = "Search a Couchbase Vector Store for similar documents."
|
||||
documentation = "https://python.langchain.com/docs/integrations/vectorstores/couchbase"
|
||||
icon = "Couchbase"
|
||||
field_order = [
|
||||
"couchbase_connection_string",
|
||||
"couchbase_username",
|
||||
"couchbase_password",
|
||||
"bucket_name",
|
||||
"scope_name",
|
||||
"collection_name",
|
||||
"index_name",
|
||||
]
|
||||
|
||||
def build_config(self):
|
||||
return {
|
||||
"input_value": {"display_name": "Input"},
|
||||
"embedding": {"display_name": "Embedding"},
|
||||
"couchbase_connection_string": {"display_name": "Couchbase Cluster connection string","required": True},
|
||||
"couchbase_username": {"display_name": "Couchbase username","required": True},
|
||||
"couchbase_password": {
|
||||
"display_name": "Couchbase password",
|
||||
"password": True,
|
||||
"required": True
|
||||
},
|
||||
"bucket_name": {"display_name": "Bucket Name","required": True},
|
||||
"scope_name": {"display_name": "Scope Name","required": True},
|
||||
"collection_name": {"display_name": "Collection Name","required": True},
|
||||
"index_name": {"display_name": "Index Name","required": True},
|
||||
"number_of_results": {
|
||||
"display_name": "Number of Results",
|
||||
"info": "Number of results to return.",
|
||||
"advanced": True,
|
||||
},
|
||||
}
|
||||
|
||||
def build( # type: ignore[override]
|
||||
self,
|
||||
input_value: Text,
|
||||
embedding: Embeddings,
|
||||
number_of_results: int = 4,
|
||||
bucket_name: str = "",
|
||||
scope_name: str = "",
|
||||
collection_name: str = "",
|
||||
index_name: str = "",
|
||||
couchbase_connection_string: str = "",
|
||||
couchbase_username: str = "",
|
||||
couchbase_password: str = "",
|
||||
) -> List[Record]:
|
||||
vector_store = CouchbaseComponent().build(
|
||||
couchbase_connection_string=couchbase_connection_string,
|
||||
couchbase_username=couchbase_username,
|
||||
couchbase_password=couchbase_password,
|
||||
bucket_name=bucket_name,
|
||||
scope_name=scope_name,
|
||||
collection_name=collection_name,
|
||||
embedding=embedding,
|
||||
index_name=index_name,
|
||||
)
|
||||
if not vector_store:
|
||||
raise ValueError("Failed to create Couchbase Vector Store")
|
||||
return self.search_with_vector_store(
|
||||
vector_store=vector_store, input_value=input_value, search_type="similarity", k=number_of_results
|
||||
)
|
||||
|
|
@ -9,10 +9,12 @@ from .SupabaseVectorStoreSearch import SupabaseSearchComponent
|
|||
from .VectaraSearch import VectaraSearchComponent
|
||||
from .WeaviateSearch import WeaviateSearchVectorStore
|
||||
from .pgvectorSearch import PGVectorSearchComponent
|
||||
from .Couchbase import CouchbaseSearchComponent # type: ignore
|
||||
|
||||
__all__ = [
|
||||
"AstraDBSearchComponent",
|
||||
"ChromaSearchComponent",
|
||||
"CouchbaseSearchComponent",
|
||||
"FAISSSearchComponent",
|
||||
"MongoDBAtlasSearchComponent",
|
||||
"PineconeSearchComponent",
|
||||
|
|
|
|||
|
|
@ -0,0 +1,95 @@
|
|||
from typing import List, Optional, Union
|
||||
|
||||
from langchain.schema import BaseRetriever
|
||||
|
||||
from langchain_community.vectorstores import CouchbaseVectorStore
|
||||
|
||||
from langflow.custom import CustomComponent
|
||||
from langflow.field_typing import Embeddings, VectorStore
|
||||
from langflow.schema import Record
|
||||
|
||||
from datetime import timedelta
|
||||
|
||||
from couchbase.auth import PasswordAuthenticator # type: ignore
|
||||
from couchbase.cluster import Cluster # type: ignore
|
||||
from couchbase.options import ClusterOptions # type: ignore
|
||||
|
||||
|
||||
class CouchbaseComponent(CustomComponent):
|
||||
display_name = "Couchbase"
|
||||
description = "Construct a `Couchbase Vector Search` vector store from raw documents."
|
||||
documentation = "https://python.langchain.com/docs/integrations/vectorstores/couchbase"
|
||||
icon = "Couchbase"
|
||||
field_order = [
|
||||
"couchbase_connection_string",
|
||||
"couchbase_username",
|
||||
"couchbase_password",
|
||||
"bucket_name",
|
||||
"scope_name",
|
||||
"collection_name",
|
||||
"index_name",
|
||||
]
|
||||
|
||||
def build_config(self):
|
||||
return {
|
||||
"inputs": {"display_name": "Input", "input_types": ["Document", "Record"]},
|
||||
"embedding": {"display_name": "Embedding"},
|
||||
"couchbase_connection_string": {"display_name": "Couchbase Cluster connection string","required": True},
|
||||
"couchbase_username": {"display_name": "Couchbase username","required": True},
|
||||
"couchbase_password": {
|
||||
"display_name": "Couchbase password",
|
||||
"password": True,
|
||||
"required": True
|
||||
},
|
||||
"bucket_name": {"display_name": "Bucket Name","required": True},
|
||||
"scope_name": {"display_name": "Scope Name","required": True},
|
||||
"collection_name": {"display_name": "Collection Name","required": True},
|
||||
"index_name": {"display_name": "Index Name","required": True},
|
||||
}
|
||||
|
||||
def build(
|
||||
self,
|
||||
embedding: Embeddings,
|
||||
inputs: Optional[List[Record]] = None,
|
||||
bucket_name: str = "",
|
||||
scope_name: str = "",
|
||||
collection_name: str = "",
|
||||
index_name: str = "",
|
||||
couchbase_connection_string: str = "",
|
||||
couchbase_username: str = "",
|
||||
couchbase_password: str = "",
|
||||
) -> Union[VectorStore, BaseRetriever]:
|
||||
try:
|
||||
auth = PasswordAuthenticator(couchbase_username, couchbase_password)
|
||||
options = ClusterOptions(auth)
|
||||
cluster = Cluster(couchbase_connection_string, options)
|
||||
|
||||
cluster.wait_until_ready(timedelta(seconds=5))
|
||||
except Exception as e:
|
||||
raise ValueError(f"Failed to connect to Couchbase: {e}")
|
||||
documents = []
|
||||
for _input in inputs or []:
|
||||
if isinstance(_input, Record):
|
||||
documents.append(_input.to_lc_document())
|
||||
else:
|
||||
documents.append(_input)
|
||||
if documents:
|
||||
vector_store = CouchbaseVectorStore.from_documents(
|
||||
documents=documents,
|
||||
cluster=cluster,
|
||||
bucket_name=bucket_name,
|
||||
scope_name=scope_name,
|
||||
collection_name=collection_name,
|
||||
embedding=embedding,
|
||||
index_name=index_name,
|
||||
)
|
||||
else:
|
||||
vector_store = CouchbaseVectorStore(
|
||||
cluster=cluster,
|
||||
bucket_name=bucket_name,
|
||||
scope_name=scope_name,
|
||||
collection_name=collection_name,
|
||||
embedding=embedding,
|
||||
index_name=index_name,
|
||||
)
|
||||
return vector_store
|
||||
|
|
@ -9,10 +9,12 @@ from .SupabaseVectorStore import SupabaseComponent
|
|||
from .Vectara import VectaraComponent
|
||||
from .Weaviate import WeaviateVectorStoreComponent
|
||||
from .pgvector import PGVectorComponent
|
||||
from .Couchbase import CouchbaseComponent
|
||||
|
||||
__all__ = [
|
||||
"AstraDBVectorStoreComponent",
|
||||
"ChromaComponent",
|
||||
"CouchbaseComponent",
|
||||
"FAISSComponent",
|
||||
"MongoDBAtlasComponent",
|
||||
"PineconeComponent",
|
||||
|
|
|
|||
|
|
@ -34,6 +34,7 @@ export default function InputGlobalComponent({
|
|||
useEffect(() => {
|
||||
if (data.node?.template[name])
|
||||
if (
|
||||
globalVariablesEntries &&
|
||||
!globalVariablesEntries.includes(data.node?.template[name].value) &&
|
||||
data.node?.template[name].load_from_db
|
||||
) {
|
||||
|
|
@ -138,6 +139,7 @@ export default function InputGlobalComponent({
|
|||
)}
|
||||
selectedOption={
|
||||
data?.node?.template[name].load_from_db &&
|
||||
globalVariablesEntries &&
|
||||
globalVariablesEntries.includes(data?.node?.template[name].value ?? "")
|
||||
? data?.node?.template[name].value
|
||||
: ""
|
||||
|
|
|
|||
17
src/frontend/src/icons/Couchbase/Couchbase.jsx
Normal file
17
src/frontend/src/icons/Couchbase/Couchbase.jsx
Normal file
|
|
@ -0,0 +1,17 @@
|
|||
const SvgCouchbaseIcon = (props) => (
|
||||
<svg
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
width="1em"
|
||||
height="1em"
|
||||
preserveAspectRatio="xMidYMid"
|
||||
viewBox="0 0 256 256"
|
||||
{...props}
|
||||
>
|
||||
<path
|
||||
fill="#ED2226"
|
||||
d="M128 0C57.426 0 0 57.233 0 128c0 70.574 57.233 128 128 128 70.574 0 128-57.233 128-128S198.574 0 128 0zm86.429 150.429c0 7.734-4.447 14.502-13.148 16.048-15.082 2.707-46.792 4.254-73.281 4.254-26.49 0-58.2-1.547-73.281-4.254-8.7-1.546-13.148-8.314-13.148-16.048v-49.885c0-7.734 5.994-14.888 13.148-16.049 4.447-.773 14.888-1.546 23.01-1.546 3.093 0 5.606 2.32 5.606 5.994v34.997l44.858-.967 44.858.967V88.943c0-3.674 2.514-5.994 5.608-5.994 8.12 0 18.562.773 23.009 1.546 7.347 1.16 13.148 8.315 13.148 16.049-.387 16.435-.387 33.257-.387 49.885z"
|
||||
/>
|
||||
</svg>
|
||||
);
|
||||
|
||||
export default SvgCouchbaseIcon;
|
||||
1
src/frontend/src/icons/Couchbase/couchbase.svg
Normal file
1
src/frontend/src/icons/Couchbase/couchbase.svg
Normal file
|
|
@ -0,0 +1 @@
|
|||
<svg xmlns="http://www.w3.org/2000/svg" width="2500" height="2500" preserveAspectRatio="xMidYMid" viewBox="0 0 256 256" id="couchbase"><path fill="#ED2226" d="M128 0C57.426 0 0 57.233 0 128c0 70.574 57.233 128 128 128 70.574 0 128-57.233 128-128S198.574 0 128 0zm86.429 150.429c0 7.734-4.447 14.502-13.148 16.048-15.082 2.707-46.792 4.254-73.281 4.254-26.49 0-58.2-1.547-73.281-4.254-8.7-1.546-13.148-8.314-13.148-16.048v-49.885c0-7.734 5.994-14.888 13.148-16.049 4.447-.773 14.888-1.546 23.01-1.546 3.093 0 5.606 2.32 5.606 5.994v34.997l44.858-.967 44.858.967V88.943c0-3.674 2.514-5.994 5.608-5.994 8.12 0 18.562.773 23.009 1.546 7.347 1.16 13.148 8.315 13.148 16.049-.387 16.435-.387 33.257-.387 49.885z"></path></svg>
|
||||
|
After Width: | Height: | Size: 720 B |
9
src/frontend/src/icons/Couchbase/index.tsx
Normal file
9
src/frontend/src/icons/Couchbase/index.tsx
Normal file
|
|
@ -0,0 +1,9 @@
|
|||
import React, { forwardRef } from "react";
|
||||
import SvgCouchbaseIcon from "./Couchbase";
|
||||
|
||||
export const CouchbaseIcon = forwardRef<
|
||||
SVGSVGElement,
|
||||
React.PropsWithChildren<{}>
|
||||
>((props, ref) => {
|
||||
return <SvgCouchbaseIcon ref={ref} {...props} />;
|
||||
});
|
||||
|
|
@ -19,6 +19,11 @@ const HeaderTabsSearchComponent = ({}: HeaderTabsSearchComponentProps) => {
|
|||
const [tabActive, setTabActive] = useState("Flows");
|
||||
const setErrorData = useAlertStore((state) => state.setErrorData);
|
||||
const allFlows = useFlowsManagerStore((state) => state.allFlows);
|
||||
const [inputValue, setInputValue] = useState("");
|
||||
|
||||
const setSearchFlowsComponents = useFlowsManagerStore(
|
||||
(state) => state.setSearchFlowsComponents,
|
||||
);
|
||||
|
||||
const handleDownloadFolder = () => {
|
||||
if (allFlows.length === 0) {
|
||||
|
|
@ -34,8 +39,19 @@ const HeaderTabsSearchComponent = ({}: HeaderTabsSearchComponentProps) => {
|
|||
return (
|
||||
<>
|
||||
<div className="relative flex items-end gap-4">
|
||||
<InputSearchComponent loading={isLoading} />
|
||||
|
||||
<InputSearchComponent
|
||||
loading={isLoading}
|
||||
value={inputValue}
|
||||
onChange={(e) => {
|
||||
setSearchFlowsComponents(e.target.value);
|
||||
setInputValue(e.target.value);
|
||||
}}
|
||||
onKeyDown={(e) => {
|
||||
if (e.key === "Enter") {
|
||||
setSearchFlowsComponents(inputValue);
|
||||
}
|
||||
}}
|
||||
/>
|
||||
<TabsSearchComponent
|
||||
tabsOptions={["All", "Flows", "Components"]}
|
||||
setActiveTab={setTabActive}
|
||||
|
|
|
|||
|
|
@ -1,22 +1,27 @@
|
|||
import { useState } from "react";
|
||||
import { ChangeEvent, KeyboardEvent } from "react";
|
||||
import { Input } from "../../../../../../components/ui/input";
|
||||
import useFlowsManagerStore from "../../../../../../stores/flowsManagerStore";
|
||||
import ForwardedIconComponent from "../../../../../../components/genericIconComponent";
|
||||
|
||||
type InputSearchComponentProps = {
|
||||
loading: boolean;
|
||||
divClasses?: string;
|
||||
onChange: (e: ChangeEvent<HTMLInputElement>) => void;
|
||||
onClick?: () => void;
|
||||
value: string;
|
||||
onKeyDown: (e: KeyboardEvent<HTMLInputElement>) => void;
|
||||
};
|
||||
|
||||
const InputSearchComponent = ({ loading }: InputSearchComponentProps) => {
|
||||
const InputSearchComponent = ({
|
||||
loading,
|
||||
divClasses,
|
||||
onChange,
|
||||
onClick,
|
||||
value,
|
||||
onKeyDown,
|
||||
}: InputSearchComponentProps) => {
|
||||
const pagePath = window.location.pathname;
|
||||
|
||||
const [inputValue, setInputValue] = useState("");
|
||||
const allFlows = useFlowsManagerStore((state) => state.allFlows);
|
||||
|
||||
const setSearchFlowsComponents = useFlowsManagerStore(
|
||||
(state) => state.setSearchFlowsComponents,
|
||||
);
|
||||
|
||||
const searchFlowsComponents = useFlowsManagerStore(
|
||||
(state) => state.searchFlowsComponents,
|
||||
);
|
||||
|
|
@ -38,24 +43,18 @@ const InputSearchComponent = ({ loading }: InputSearchComponentProps) => {
|
|||
|
||||
return (
|
||||
<>
|
||||
<div className="relative h-12 w-[60%]">
|
||||
<div className={`${divClasses ? divClasses : "relative h-12 w-[60%]"}`}>
|
||||
<Input
|
||||
data-testid="search-store-input"
|
||||
disabled={disableInputSearch}
|
||||
placeholder={getSearchPlaceholder()}
|
||||
className="absolute h-12 pl-5 pr-12"
|
||||
onChange={(e) => {
|
||||
setSearchFlowsComponents(e.target.value);
|
||||
setInputValue(e.target.value);
|
||||
}}
|
||||
onKeyDown={(e) => {
|
||||
if (e.key === "Enter") {
|
||||
setSearchFlowsComponents(inputValue);
|
||||
}
|
||||
}}
|
||||
value={inputValue}
|
||||
onChange={onChange}
|
||||
onKeyDown={onKeyDown}
|
||||
value={value}
|
||||
/>
|
||||
<button
|
||||
onClick={onClick}
|
||||
disabled={loading}
|
||||
className="absolute bottom-0 right-4 top-0 my-auto h-6 cursor-pointer stroke-1 text-muted-foreground"
|
||||
data-testid="search-store-button"
|
||||
|
|
|
|||
|
|
@ -55,6 +55,7 @@ export default function GlobalVariablesPage() {
|
|||
name: string;
|
||||
default_fields: string | undefined;
|
||||
}> = [];
|
||||
if (globalVariablesEntries === undefined) return;
|
||||
globalVariablesEntries.forEach((entrie) => {
|
||||
const globalVariableObj = globalVariables[entrie];
|
||||
rows.push({
|
||||
|
|
|
|||
|
|
@ -35,6 +35,7 @@ import useFlowsManagerStore from "../../stores/flowsManagerStore";
|
|||
import { useStoreStore } from "../../stores/storeStore";
|
||||
import { storeComponent } from "../../types/store";
|
||||
import { cn } from "../../utils/utils";
|
||||
import InputSearchComponent from "../MainPage/components/myCollectionComponent/components/inputSearchComponent";
|
||||
|
||||
export default function StorePage(): JSX.Element {
|
||||
const hasApiKey = useStoreStore((state) => state.hasApiKey);
|
||||
|
|
@ -47,7 +48,7 @@ export default function StorePage(): JSX.Element {
|
|||
|
||||
const setErrorData = useAlertStore((state) => state.setErrorData);
|
||||
const setCurrentFlowId = useFlowsManagerStore(
|
||||
(state) => state.setCurrentFlowId
|
||||
(state) => state.setCurrentFlowId,
|
||||
);
|
||||
const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
|
||||
const [loading, setLoading] = useState(true);
|
||||
|
|
@ -144,7 +145,7 @@ export default function StorePage(): JSX.Element {
|
|||
setTotalRowsCount(
|
||||
filteredCategories?.length === 0
|
||||
? Number(res?.count ?? 0)
|
||||
: res?.results?.length ?? 0
|
||||
: res?.results?.length ?? 0,
|
||||
);
|
||||
}
|
||||
})
|
||||
|
|
@ -187,7 +188,7 @@ export default function StorePage(): JSX.Element {
|
|||
disabled={loading}
|
||||
className={cn(
|
||||
`${!validApiKey ? "animate-pulse border-error" : ""}`,
|
||||
loading ? "cursor-not-allowed" : ""
|
||||
loading ? "cursor-not-allowed" : "",
|
||||
)}
|
||||
variant="primary"
|
||||
>
|
||||
|
|
@ -202,36 +203,20 @@ export default function StorePage(): JSX.Element {
|
|||
<div className="flex h-full w-full flex-col justify-between">
|
||||
<div className="flex w-full flex-col gap-4 p-0">
|
||||
<div className="flex items-end gap-4">
|
||||
<div className="relative h-12 w-[40%]">
|
||||
<Input
|
||||
data-testid="search-store-input"
|
||||
disabled={loading}
|
||||
placeholder="Search Flows and Components"
|
||||
className="absolute h-12 pl-5 pr-12"
|
||||
onChange={(e) => {
|
||||
setInputText(e.target.value);
|
||||
}}
|
||||
onKeyDown={(e) => {
|
||||
if (e.key === "Enter") {
|
||||
setSearchNow(uniqueId());
|
||||
}
|
||||
}}
|
||||
value={inputText}
|
||||
/>
|
||||
<button
|
||||
disabled={loading}
|
||||
className="absolute bottom-0 right-4 top-0 my-auto h-6 cursor-pointer stroke-1 text-muted-foreground"
|
||||
onClick={() => {
|
||||
<InputSearchComponent
|
||||
loading={loading}
|
||||
divClasses="relative h-12 w-[40%]"
|
||||
value={inputText}
|
||||
onChange={(e) => setInputText(e.target.value)}
|
||||
onKeyDown={(e) => {
|
||||
if (e.key === "Enter") {
|
||||
setSearchNow(uniqueId());
|
||||
}}
|
||||
data-testid="search-store-button"
|
||||
>
|
||||
<IconComponent
|
||||
name={loading ? "Loader2" : "Search"}
|
||||
className={loading ? " animate-spin cursor-not-allowed" : ""}
|
||||
/>
|
||||
</button>
|
||||
</div>
|
||||
}
|
||||
}}
|
||||
onClick={() => {
|
||||
setSearchNow(uniqueId());
|
||||
}}
|
||||
/>
|
||||
<div className="ml-4 flex w-full gap-2 border-b border-border">
|
||||
<button
|
||||
data-testid="all-button-store"
|
||||
|
|
|
|||
|
|
@ -13,7 +13,7 @@ export const useGlobalVariablesStore = create<GlobalVariablesStore>(
|
|||
delete newFields[field];
|
||||
set({ unavaliableFields: newFields });
|
||||
},
|
||||
globalVariablesEntries: [],
|
||||
globalVariablesEntries: undefined,
|
||||
globalVariables: {},
|
||||
setGlobalVariables: (variables) => {
|
||||
set({
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
export type GlobalVariablesStore = {
|
||||
globalVariablesEntries: Array<string>;
|
||||
globalVariablesEntries: Array<string> | undefined;
|
||||
globalVariables: {
|
||||
[name: string]: {
|
||||
id: string;
|
||||
|
|
|
|||
|
|
@ -153,6 +153,7 @@ import { AzureIcon } from "../icons/Azure";
|
|||
import { BingIcon } from "../icons/Bing";
|
||||
import { BotMessageSquareIcon } from "../icons/BotMessageSquare";
|
||||
import { ChromaIcon } from "../icons/ChromaIcon";
|
||||
import { CouchbaseIcon } from "../icons/Couchbase";
|
||||
import { CohereIcon } from "../icons/Cohere";
|
||||
import { ElasticsearchIcon } from "../icons/ElasticsearchStore";
|
||||
import { EvernoteIcon } from "../icons/Evernote";
|
||||
|
|
@ -324,6 +325,7 @@ export const nodeIconsLucide: iconsType = {
|
|||
Vectara: VectaraIcon,
|
||||
ArrowUpToLine: ArrowUpToLine,
|
||||
Chroma: ChromaIcon,
|
||||
Couchbase: CouchbaseIcon,
|
||||
AirbyteJSONLoader: AirbyteIcon,
|
||||
AmazonBedrockEmbeddings: AWSIcon,
|
||||
Amazon: AWSIcon,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue