Merge branch 'feature/store' into bug/undo-copy
This commit is contained in:
Lucas Oliveira
commit
082ea5282f
37 changed files with 421 additions and 326 deletions
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@ -23,7 +23,7 @@ ENV PYTHONUNBUFFERED=1 \
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\
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# poetry
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# https://python-poetry.org/docs/configuration/#using-environment-variables
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POETRY_VERSION=1.7 \
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POETRY_VERSION=1.7.1 \
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# make poetry install to this location
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POETRY_HOME="/opt/poetry" \
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# make poetry create the virtual environment in the project's root
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@ -146,7 +146,7 @@ services:
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build:
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context: ../
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dockerfile: base.Dockerfile
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command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h
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command: celery -A langflow.worker.celery_app worker --loglevel=DEBUG --concurrency=1 -n lf-worker@%h
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healthcheck:
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test: "exit 0"
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deploy:
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@ -134,8 +134,8 @@ services:
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image: redis:6.2.5
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env_file:
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- .env
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# ports:
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# - 6379:6379
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ports:
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- 6379:6379
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healthcheck:
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test: "exit 0"
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@ -146,7 +146,7 @@ services:
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build:
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context: ../
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dockerfile: base.Dockerfile
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command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h
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command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h -P eventlet
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healthcheck:
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test: "exit 0"
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deploy:
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251
poetry.lock
generated
251
poetry.lock
generated
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@ -337,32 +337,27 @@ six = ">=1.4.0"
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[[package]]
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name = "bcrypt"
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version = "4.0.1"
|
||||
version = "4.1.1"
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||||
description = "Modern password hashing for your software and your servers"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-macosx_10_10_universal2.whl", hash = "sha256:b1023030aec778185a6c16cf70f359cbb6e0c289fd564a7cfa29e727a1c38f8f"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:08d2947c490093a11416df18043c27abe3921558d2c03e2076ccb28a116cb6d0"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0eaa47d4661c326bfc9d08d16debbc4edf78778e6aaba29c1bc7ce67214d4410"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ae88eca3024bb34bb3430f964beab71226e761f51b912de5133470b649d82344"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_24_x86_64.whl", hash = "sha256:a522427293d77e1c29e303fc282e2d71864579527a04ddcfda6d4f8396c6c36a"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:fbdaec13c5105f0c4e5c52614d04f0bca5f5af007910daa8b6b12095edaa67b3"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:ca3204d00d3cb2dfed07f2d74a25f12fc12f73e606fcaa6975d1f7ae69cacbb2"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:089098effa1bc35dc055366740a067a2fc76987e8ec75349eb9484061c54f535"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:e9a51bbfe7e9802b5f3508687758b564069ba937748ad7b9e890086290d2f79e"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-win32.whl", hash = "sha256:2caffdae059e06ac23fce178d31b4a702f2a3264c20bfb5ff541b338194d8fab"},
|
||||
{file = "bcrypt-4.0.1-cp36-abi3-win_amd64.whl", hash = "sha256:8a68f4341daf7522fe8d73874de8906f3a339048ba406be6ddc1b3ccb16fc0d9"},
|
||||
{file = "bcrypt-4.0.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf4fa8b2ca74381bb5442c089350f09a3f17797829d958fad058d6e44d9eb83c"},
|
||||
{file = "bcrypt-4.0.1-pp37-pypy37_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:67a97e1c405b24f19d08890e7ae0c4f7ce1e56a712a016746c8b2d7732d65d4b"},
|
||||
{file = "bcrypt-4.0.1-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b3b85202d95dd568efcb35b53936c5e3b3600c7cdcc6115ba461df3a8e89f38d"},
|
||||
{file = "bcrypt-4.0.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cbb03eec97496166b704ed663a53680ab57c5084b2fc98ef23291987b525cb7d"},
|
||||
{file = "bcrypt-4.0.1-pp38-pypy38_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:5ad4d32a28b80c5fa6671ccfb43676e8c1cc232887759d1cd7b6f56ea4355215"},
|
||||
{file = "bcrypt-4.0.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b57adba8a1444faf784394de3436233728a1ecaeb6e07e8c22c8848f179b893c"},
|
||||
{file = "bcrypt-4.0.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:705b2cea8a9ed3d55b4491887ceadb0106acf7c6387699fca771af56b1cdeeda"},
|
||||
{file = "bcrypt-4.0.1-pp39-pypy39_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:2b3ac11cf45161628f1f3733263e63194f22664bf4d0c0f3ab34099c02134665"},
|
||||
{file = "bcrypt-4.0.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3100851841186c25f127731b9fa11909ab7b1df6fc4b9f8353f4f1fd952fbf71"},
|
||||
{file = "bcrypt-4.0.1.tar.gz", hash = "sha256:27d375903ac8261cfe4047f6709d16f7d18d39b1ec92aaf72af989552a650ebd"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-macosx_13_0_universal2.whl", hash = "sha256:2e197534c884336f9020c1f3a8efbaab0aa96fc798068cb2da9c671818b7fbb0"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d573885b637815a7f3a3cd5f87724d7d0822da64b0ab0aa7f7c78bae534e86dc"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bab33473f973e8058d1b2df8d6e095d237c49fbf7a02b527541a86a5d1dc4444"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:fb931cd004a7ad36a89789caf18a54c20287ec1cd62161265344b9c4554fdb2e"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:12f40f78dcba4aa7d1354d35acf45fae9488862a4fb695c7eeda5ace6aae273f"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:2ade10e8613a3b8446214846d3ddbd56cfe9205a7d64742f0b75458c868f7492"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f33b385c3e80b5a26b3a5e148e6165f873c1c202423570fdf45fe34e00e5f3e5"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:755b9d27abcab678e0b8fb4d0abdebeea1f68dd1183b3f518bad8d31fa77d8be"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a7a7b8a87e51e5e8ca85b9fdaf3a5dc7aaf123365a09be7a27883d54b9a0c403"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-win32.whl", hash = "sha256:3d6c4e0d6963c52f8142cdea428e875042e7ce8c84812d8e5507bd1e42534e07"},
|
||||
{file = "bcrypt-4.1.1-cp37-abi3-win_amd64.whl", hash = "sha256:14d41933510717f98aac63378b7956bbe548986e435df173c841d7f2bd0b2de7"},
|
||||
{file = "bcrypt-4.1.1-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:24c2ebd287b5b11016f31d506ca1052d068c3f9dc817160628504690376ff050"},
|
||||
{file = "bcrypt-4.1.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:476aa8e8aca554260159d4c7a97d6be529c8e177dbc1d443cb6b471e24e82c74"},
|
||||
{file = "bcrypt-4.1.1-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:12611c4b0a8b1c461646228344784a1089bc0c49975680a2f54f516e71e9b79e"},
|
||||
{file = "bcrypt-4.1.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c6450538a0fc32fb7ce4c6d511448c54c4ff7640b2ed81badf9898dcb9e5b737"},
|
||||
{file = "bcrypt-4.1.1.tar.gz", hash = "sha256:df37f5418d4f1cdcff845f60e747a015389fa4e63703c918330865e06ad80007"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
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@ -411,17 +406,17 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "boto3"
|
||||
version = "1.29.7"
|
||||
version = "1.33.2"
|
||||
description = "The AWS SDK for Python"
|
||||
optional = false
|
||||
python-versions = ">= 3.7"
|
||||
files = [
|
||||
{file = "boto3-1.29.7-py3-none-any.whl", hash = "sha256:96e9890ebe7cd823b5f4976dd676e112c000c6528c28e20a2f274590589dd18b"},
|
||||
{file = "boto3-1.29.7.tar.gz", hash = "sha256:1eb4c548118b5fc5e018dee956fd33e6fb249cd1f2def85f1bba816aef4d9f3e"},
|
||||
{file = "boto3-1.33.2-py3-none-any.whl", hash = "sha256:fc7c0dd5fa74ae0d57e11747695bdba4ad164e62dee35db15b43762c392fbd92"},
|
||||
{file = "boto3-1.33.2.tar.gz", hash = "sha256:70626598dd6698d6da8f2854a1ae5010f175572e2a465b2aa86685c745c1013c"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
botocore = ">=1.32.7,<1.33.0"
|
||||
botocore = ">=1.33.2,<1.34.0"
|
||||
jmespath = ">=0.7.1,<2.0.0"
|
||||
s3transfer = ">=0.8.0,<0.9.0"
|
||||
|
||||
|
|
@ -430,13 +425,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
|
|||
|
||||
[[package]]
|
||||
name = "botocore"
|
||||
version = "1.32.7"
|
||||
version = "1.33.2"
|
||||
description = "Low-level, data-driven core of boto 3."
|
||||
optional = false
|
||||
python-versions = ">= 3.7"
|
||||
files = [
|
||||
{file = "botocore-1.32.7-py3-none-any.whl", hash = "sha256:58b33d02cafa23461c8a9d211b30e8cded992380a84de409379fd02811fa3e11"},
|
||||
{file = "botocore-1.32.7.tar.gz", hash = "sha256:c6795c731b04c8e3635588c44cfd1a4462fc5987859195522c96812cf3eceff9"},
|
||||
{file = "botocore-1.33.2-py3-none-any.whl", hash = "sha256:5c46b7e8450efbf7ddc2a0016eee7225a5564583122e25a20ca92a29a105225c"},
|
||||
{file = "botocore-1.33.2.tar.gz", hash = "sha256:16a30faac6e6f17961c009defb74ab1a3508b8abc58fab98e7cf96af0d91ea84"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -926,19 +921,19 @@ testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
|
|||
|
||||
[[package]]
|
||||
name = "cohere"
|
||||
version = "4.36"
|
||||
description = ""
|
||||
version = "4.37"
|
||||
description = "Python SDK for the Cohere API"
|
||||
optional = false
|
||||
python-versions = ">=3.7,<4.0"
|
||||
python-versions = ">=3.8,<4.0"
|
||||
files = [
|
||||
{file = "cohere-4.36-py3-none-any.whl", hash = "sha256:4ebafbf2f340c90cf81599d94da1678fb4cd22548cd7fc0f6b16420090ffa705"},
|
||||
{file = "cohere-4.36.tar.gz", hash = "sha256:3dd67abe2d12da55132a85dfbbf2963e50e3e60eaee9b07ff9457ae2766f1f8d"},
|
||||
{file = "cohere-4.37-py3-none-any.whl", hash = "sha256:f3fad3a0f8d86761d4de851dfd2233a1e5c7634a024102212d850bde9c9bb031"},
|
||||
{file = "cohere-4.37.tar.gz", hash = "sha256:788021d9d992c6c31d1985d95cccb277c7265882c4acd7a49b3e47da77b4bec8"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
aiohttp = ">=3.0,<4.0"
|
||||
backoff = ">=2.0,<3.0"
|
||||
fastavro = {version = "1.8.2", markers = "python_version >= \"3.8\""}
|
||||
fastavro = ">=1.8,<2.0"
|
||||
importlib_metadata = ">=6.0,<7.0"
|
||||
requests = ">=2.25.0,<3.0.0"
|
||||
urllib3 = ">=1.26,<3"
|
||||
|
|
@ -1110,34 +1105,34 @@ toml = ["tomli"]
|
|||
|
||||
[[package]]
|
||||
name = "cryptography"
|
||||
version = "41.0.5"
|
||||
version = "41.0.7"
|
||||
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "cryptography-41.0.5-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:da6a0ff8f1016ccc7477e6339e1d50ce5f59b88905585f77193ebd5068f1e797"},
|
||||
{file = "cryptography-41.0.5-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:b948e09fe5fb18517d99994184854ebd50b57248736fd4c720ad540560174ec5"},
|
||||
{file = "cryptography-41.0.5-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d38e6031e113b7421db1de0c1b1f7739564a88f1684c6b89234fbf6c11b75147"},
|
||||
{file = "cryptography-41.0.5-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e270c04f4d9b5671ebcc792b3ba5d4488bf7c42c3c241a3748e2599776f29696"},
|
||||
{file = "cryptography-41.0.5-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:ec3b055ff8f1dce8e6ef28f626e0972981475173d7973d63f271b29c8a2897da"},
|
||||
{file = "cryptography-41.0.5-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:7d208c21e47940369accfc9e85f0de7693d9a5d843c2509b3846b2db170dfd20"},
|
||||
{file = "cryptography-41.0.5-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:8254962e6ba1f4d2090c44daf50a547cd5f0bf446dc658a8e5f8156cae0d8548"},
|
||||
{file = "cryptography-41.0.5-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:a48e74dad1fb349f3dc1d449ed88e0017d792997a7ad2ec9587ed17405667e6d"},
|
||||
{file = "cryptography-41.0.5-cp37-abi3-win32.whl", hash = "sha256:d3977f0e276f6f5bf245c403156673db103283266601405376f075c849a0b936"},
|
||||
{file = "cryptography-41.0.5-cp37-abi3-win_amd64.whl", hash = "sha256:73801ac9736741f220e20435f84ecec75ed70eda90f781a148f1bad546963d81"},
|
||||
{file = "cryptography-41.0.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3be3ca726e1572517d2bef99a818378bbcf7d7799d5372a46c79c29eb8d166c1"},
|
||||
{file = "cryptography-41.0.5-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:e886098619d3815e0ad5790c973afeee2c0e6e04b4da90b88e6bd06e2a0b1b72"},
|
||||
{file = "cryptography-41.0.5-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:573eb7128cbca75f9157dcde974781209463ce56b5804983e11a1c462f0f4e88"},
|
||||
{file = "cryptography-41.0.5-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0c327cac00f082013c7c9fb6c46b7cc9fa3c288ca702c74773968173bda421bf"},
|
||||
{file = "cryptography-41.0.5-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:227ec057cd32a41c6651701abc0328135e472ed450f47c2766f23267b792a88e"},
|
||||
{file = "cryptography-41.0.5-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:22892cc830d8b2c89ea60148227631bb96a7da0c1b722f2aac8824b1b7c0b6b8"},
|
||||
{file = "cryptography-41.0.5-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:5a70187954ba7292c7876734183e810b728b4f3965fbe571421cb2434d279179"},
|
||||
{file = "cryptography-41.0.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:88417bff20162f635f24f849ab182b092697922088b477a7abd6664ddd82291d"},
|
||||
{file = "cryptography-41.0.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c707f7afd813478e2019ae32a7c49cd932dd60ab2d2a93e796f68236b7e1fbf1"},
|
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||||
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||||
[package.dependencies]
|
||||
|
|
@ -1175,13 +1170,13 @@ tests = ["pytest"]
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|||
|
||||
[[package]]
|
||||
name = "dataclasses-json"
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||||
version = "0.6.2"
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||||
version = "0.6.3"
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description = "Easily serialize dataclasses to and from JSON."
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optional = false
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[package.dependencies]
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||||
|
|
@ -1599,42 +1594,48 @@ all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)"
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|||
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[[package]]
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||||
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|
||||
{file = "fastavro-1.9.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:215f40921d3f1f229cea89af25533e7be3fde16dd85c55436c15fb1ad067b486"},
|
||||
{file = "fastavro-1.9.0-cp39-cp39-win_amd64.whl", hash = "sha256:0c046ed9759d1100df59dc18452901253cff5a37d9e8e8701d0102116c3202cb"},
|
||||
{file = "fastavro-1.9.0.tar.gz", hash = "sha256:71aad82b17442dc41223f8351b9f28a60dd877a8e5a7525eaf6342f45f6d23e1"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
codecs = ["lz4", "python-snappy", "zstandard"]
|
||||
codecs = ["cramjam", "lz4", "zstandard"]
|
||||
lz4 = ["lz4"]
|
||||
snappy = ["python-snappy"]
|
||||
snappy = ["cramjam"]
|
||||
zstandard = ["zstandard"]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -3002,13 +3003,13 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "ipykernel"
|
||||
version = "6.26.0"
|
||||
version = "6.27.1"
|
||||
description = "IPython Kernel for Jupyter"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "ipykernel-6.26.0-py3-none-any.whl", hash = "sha256:3ba3dc97424b87b31bb46586b5167b3161b32d7820b9201a9e698c71e271602c"},
|
||||
{file = "ipykernel-6.26.0.tar.gz", hash = "sha256:553856658eb8430bbe9653ea041a41bff63e9606fc4628873fc92a6cf3abd404"},
|
||||
{file = "ipykernel-6.27.1-py3-none-any.whl", hash = "sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686"},
|
||||
{file = "ipykernel-6.27.1.tar.gz", hash = "sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3524,13 +3525,13 @@ zookeeper = ["kazoo (>=2.8.0)"]
|
|||
|
||||
[[package]]
|
||||
name = "langchain"
|
||||
version = "0.0.340"
|
||||
version = "0.0.341"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langchain-0.0.340-py3-none-any.whl", hash = "sha256:f80f40b52ef82424e38e894db8b8048b6505da100679e72613316f8d8b0243fb"},
|
||||
{file = "langchain-0.0.340.tar.gz", hash = "sha256:1a6bd2511bbb81e42d2a3d7291ee03de180accab851181ee9fdbb7fbaef6c57c"},
|
||||
{file = "langchain-0.0.341-py3-none-any.whl", hash = "sha256:7836c5b8a49e90a33b024696016c149cd8dae2cce1682dc0c41d2f4f89b14525"},
|
||||
{file = "langchain-0.0.341.tar.gz", hash = "sha256:98c86527054df983464d139fff2ea906af7b28712889c83c330c7b5e8aeb9d41"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3539,6 +3540,7 @@ anyio = "<4.0"
|
|||
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
|
||||
dataclasses-json = ">=0.5.7,<0.7"
|
||||
jsonpatch = ">=1.33,<2.0"
|
||||
langchain-core = ">=0.0.6,<0.0.7"
|
||||
langsmith = ">=0.0.63,<0.1.0"
|
||||
numpy = ">=1,<2"
|
||||
pydantic = ">=1,<3"
|
||||
|
|
@ -3555,13 +3557,30 @@ cli = ["typer (>=0.9.0,<0.10.0)"]
|
|||
cohere = ["cohere (>=4,<5)"]
|
||||
docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
|
||||
embeddings = ["sentence-transformers (>=2,<3)"]
|
||||
extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "dashvector (>=1.0.1,<2.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.6.0,<0.7.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
|
||||
extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "dashvector (>=1.0.1,<2.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.6.0,<0.7.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
|
||||
javascript = ["esprima (>=4.0.1,<5.0.0)"]
|
||||
llms = ["clarifai (>=9.1.0)", "cohere (>=4,<5)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
|
||||
openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
|
||||
qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
|
||||
text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "0.0.6"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langchain_core-0.0.6-py3-none-any.whl", hash = "sha256:dcc727ff811159e09fc1d72caae4aaea892611349d5c3fc1c18b3a19573faf27"},
|
||||
{file = "langchain_core-0.0.6.tar.gz", hash = "sha256:cffd1031764d838ad2a2f3f64477b710923ddad58eb9fe3130ff94b3669e8dd8"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
jsonpatch = ">=1.33,<2.0"
|
||||
langsmith = ">=0.0.63,<0.1.0"
|
||||
pydantic = ">=1,<3"
|
||||
tenacity = ">=8.1.0,<9.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "langchain-experimental"
|
||||
version = "0.0.42"
|
||||
|
|
@ -3618,13 +3637,13 @@ wrapt = "1.14"
|
|||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.0.66"
|
||||
version = "0.0.67"
|
||||
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
files = [
|
||||
{file = "langsmith-0.0.66-py3-none-any.whl", hash = "sha256:e5e6d2deff19de827ac04db106b900091c75b6a3c1a1c047a8aa78caf72a63ea"},
|
||||
{file = "langsmith-0.0.66.tar.gz", hash = "sha256:33d011c9db9236c06789b17dba97acc023275bafd0c2bf097283730d6608dea7"},
|
||||
{file = "langsmith-0.0.67-py3-none-any.whl", hash = "sha256:66a257b97dabd43a7e62af271b2ddb7566167ce4e446fd7b7760e97d6ce84a5e"},
|
||||
{file = "langsmith-0.0.67.tar.gz", hash = "sha256:cef00bac2e7455a5943f3afaea91c032db1a1f2adb83003159a71e884fb5a9a2"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3649,12 +3668,12 @@ regex = ["regex"]
|
|||
|
||||
[[package]]
|
||||
name = "llama-cpp-python"
|
||||
version = "0.2.19"
|
||||
version = "0.2.20"
|
||||
description = "Python bindings for the llama.cpp library"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "llama_cpp_python-0.2.19.tar.gz", hash = "sha256:5c3be3f98108b7fc747f5c7260344af13621cd626d628cd5a6c0f6eec53a873a"},
|
||||
{file = "llama_cpp_python-0.2.20.tar.gz", hash = "sha256:a0ada1cb800ba4da60ea6ac4f7264b687a35412374e5af2c92e5b22852cdbafb"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3670,13 +3689,13 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)"]
|
|||
|
||||
[[package]]
|
||||
name = "locust"
|
||||
version = "2.19.0"
|
||||
version = "2.19.1"
|
||||
description = "Developer friendly load testing framework"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "locust-2.19.0-py3-none-any.whl", hash = "sha256:fc245bcdc3ffccfcd31be1ce99f736fe3be69b514d396ef419e2898d86795c6d"},
|
||||
{file = "locust-2.19.0.tar.gz", hash = "sha256:091bb8ee321a9a63e160d0f6de0a0819c62f18378e44986bc5d446d017875aa6"},
|
||||
{file = "locust-2.19.1-py3-none-any.whl", hash = "sha256:152d6c9b1d8b842422a9ef352d13529d337d5c4e1e0c0a3e0827c1b5eafb903d"},
|
||||
{file = "locust-2.19.1.tar.gz", hash = "sha256:5c21609b1395833dc0b4bb3ddaaf709a88f6e70950aefce86e11eb5944fe9217"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -7089,20 +7108,20 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "s3transfer"
|
||||
version = "0.8.0"
|
||||
version = "0.8.1"
|
||||
description = "An Amazon S3 Transfer Manager"
|
||||
optional = false
|
||||
python-versions = ">= 3.7"
|
||||
files = [
|
||||
{file = "s3transfer-0.8.0-py3-none-any.whl", hash = "sha256:baa479dc2e63e5c2ed51611b4d46cdf0295e2070d8d0b86b22f335ee5b954986"},
|
||||
{file = "s3transfer-0.8.0.tar.gz", hash = "sha256:e8d6bd52ffd99841e3a57b34370a54841f12d3aab072af862cdcc50955288002"},
|
||||
{file = "s3transfer-0.8.1-py3-none-any.whl", hash = "sha256:d1c52af7bceca1650d0f27728b29bb4925184aead7b55bccacf893b79a108604"},
|
||||
{file = "s3transfer-0.8.1.tar.gz", hash = "sha256:e6cafd5643fc7b44fddfba1e5b521005675b0e07533ddad958a3554bc87d7330"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
botocore = ">=1.32.7,<2.0a.0"
|
||||
botocore = ">=1.33.2,<2.0a.0"
|
||||
|
||||
[package.extras]
|
||||
crt = ["botocore[crt] (>=1.32.7,<2.0a.0)"]
|
||||
crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "safetensors"
|
||||
|
|
@ -8063,18 +8082,18 @@ telegram = ["requests"]
|
|||
|
||||
[[package]]
|
||||
name = "traitlets"
|
||||
version = "5.13.0"
|
||||
version = "5.14.0"
|
||||
description = "Traitlets Python configuration system"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "traitlets-5.13.0-py3-none-any.whl", hash = "sha256:baf991e61542da48fe8aef8b779a9ea0aa38d8a54166ee250d5af5ecf4486619"},
|
||||
{file = "traitlets-5.13.0.tar.gz", hash = "sha256:9b232b9430c8f57288c1024b34a8f0251ddcc47268927367a0dd3eeaca40deb5"},
|
||||
{file = "traitlets-5.14.0-py3-none-any.whl", hash = "sha256:f14949d23829023013c47df20b4a76ccd1a85effb786dc060f34de7948361b33"},
|
||||
{file = "traitlets-5.14.0.tar.gz", hash = "sha256:fcdaa8ac49c04dfa0ed3ee3384ef6dfdb5d6f3741502be247279407679296772"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
|
||||
test = ["argcomplete (>=3.0.3)", "mypy (>=1.6.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
|
||||
test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
|
|
@ -9160,4 +9179,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<3.11"
|
||||
content-hash = "1930ee9350f8d29899117ba0ffce4eff58b10b99e4d135b8d4ba52bca9e50d88"
|
||||
content-hash = "48794de9f7fe20b5a736fc0553485501d15ef611a0171a6c065d5a9f64798210"
|
||||
|
|
|
|||
|
|
@ -79,7 +79,7 @@ psycopg = "^3.1.9"
|
|||
psycopg-binary = "^3.1.9"
|
||||
fastavro = "^1.8.0"
|
||||
langchain-experimental = "*"
|
||||
celery = { extras = ["redis"], version = "^5.3.1", optional = true }
|
||||
celery = { extras = ["redis"], version = "^5.3.6", optional = true }
|
||||
redis = { version = "^4.6.0", optional = true }
|
||||
flower = { version = "^2.0.0", optional = true }
|
||||
alembic = "^1.12.0"
|
||||
|
|
|
|||
|
|
@ -47,12 +47,3 @@ def build_input_keys_response(langchain_object, artifacts):
|
|||
input_keys_response["template"] = langchain_object.prompt.template
|
||||
|
||||
return input_keys_response
|
||||
|
||||
|
||||
def get_new_key(dictionary, original_key):
|
||||
counter = 1
|
||||
new_key = original_key + " (" + str(counter) + ")"
|
||||
while new_key in dictionary:
|
||||
counter += 1
|
||||
new_key = original_key + " (" + str(counter) + ")"
|
||||
return new_key
|
||||
|
|
|
|||
|
|
@ -170,7 +170,7 @@ async def stream_build(
|
|||
update_build_status(cache_service, flow_id, BuildStatus.FAILURE)
|
||||
|
||||
vertex_id = vertex.parent_node_id if vertex.parent_is_top_level else vertex.id
|
||||
if vertex_id in graph.top_level_nodes:
|
||||
if vertex_id in graph.top_level_vertices:
|
||||
response = {
|
||||
"valid": valid,
|
||||
"params": params,
|
||||
|
|
|
|||
|
|
@ -89,6 +89,7 @@ async def process(
|
|||
if flow.data is None:
|
||||
raise ValueError(f"Flow {flow_id} has no data")
|
||||
graph_data = flow.data
|
||||
task_result = None
|
||||
if tweaks:
|
||||
try:
|
||||
graph_data = process_tweaks(graph_data, tweaks)
|
||||
|
|
@ -160,6 +161,10 @@ async def get_task_status(task_id: str):
|
|||
result = None
|
||||
if task.ready():
|
||||
result = task.result
|
||||
# If result isinstance of Exception, can we get the traceback?
|
||||
if isinstance(result, Exception):
|
||||
logger.exception(task.traceback)
|
||||
|
||||
if isinstance(result, dict) and "result" in result:
|
||||
result = result["result"]
|
||||
elif hasattr(result, "result"):
|
||||
|
|
@ -167,6 +172,10 @@ async def get_task_status(task_id: str):
|
|||
|
||||
if task is None:
|
||||
raise HTTPException(status_code=404, detail="Task not found")
|
||||
if task.status == "FAILURE":
|
||||
result = str(task.result)
|
||||
logger.error(f"Task {task_id} failed: {task.traceback}")
|
||||
|
||||
return TaskStatusResponse(status=task.status, result=result)
|
||||
|
||||
|
||||
|
|
@ -237,3 +246,9 @@ async def custom_component_update(
|
|||
component_node = build_langchain_template_custom_component(component, user_id=user.id, update_field=raw_code.field)
|
||||
# Update the field
|
||||
return component_node
|
||||
# Update the field
|
||||
return component_node
|
||||
# Update the field
|
||||
return component_node
|
||||
# Update the field
|
||||
return component_node
|
||||
|
|
|
|||
|
|
@ -3,12 +3,16 @@ import os
|
|||
|
||||
langflow_redis_host = os.environ.get("LANGFLOW_REDIS_HOST")
|
||||
langflow_redis_port = os.environ.get("LANGFLOW_REDIS_PORT")
|
||||
if "BROKER_URL" in os.environ and "RESULT_BACKEND" in os.environ:
|
||||
# RabbitMQ
|
||||
broker_url = os.environ.get("BROKER_URL", "amqp://localhost")
|
||||
result_backend = os.environ.get("RESULT_BACKEND", "redis://localhost:6379/0")
|
||||
elif langflow_redis_host and langflow_redis_port:
|
||||
# broker default user
|
||||
|
||||
if langflow_redis_host and langflow_redis_port:
|
||||
broker_url = f"redis://{langflow_redis_host}:{langflow_redis_port}/0"
|
||||
result_backend = f"redis://{langflow_redis_host}:{langflow_redis_port}/0"
|
||||
else:
|
||||
# RabbitMQ
|
||||
mq_user = os.environ.get("RABBITMQ_DEFAULT_USER", "langflow")
|
||||
mq_password = os.environ.get("RABBITMQ_DEFAULT_PASS", "langflow")
|
||||
broker_url = os.environ.get("BROKER_URL", f"amqp://{mq_user}:{mq_password}@localhost:5672//")
|
||||
result_backend = os.environ.get("RESULT_BACKEND", "redis://localhost:6379/0")
|
||||
# tasks should be json or pickle
|
||||
accept_content = ["json", "pickle"]
|
||||
|
|
|
|||
|
|
@ -22,8 +22,8 @@ class TargetHandle(BaseModel):
|
|||
|
||||
class Edge:
|
||||
def __init__(self, source: "Vertex", target: "Vertex", edge: dict):
|
||||
self.source_id: str = source.id
|
||||
self.target_id: str = target.id
|
||||
self.source_id: str = source.id if source else ""
|
||||
self.target_id: str = target.id if target else ""
|
||||
if data := edge.get("data", {}):
|
||||
self._source_handle = data.get("sourceHandle", {})
|
||||
self._target_handle = data.get("targetHandle", {})
|
||||
|
|
|
|||
|
|
@ -1,8 +1,6 @@
|
|||
from typing import Dict, Generator, List, Type, Union
|
||||
|
||||
from langchain.chains.base import Chain
|
||||
from loguru import logger
|
||||
|
||||
from langflow.graph.edge.base import Edge
|
||||
from langflow.graph.graph.constants import lazy_load_vertex_dict
|
||||
from langflow.graph.graph.utils import process_flow
|
||||
|
|
@ -10,6 +8,7 @@ from langflow.graph.vertex.base import Vertex
|
|||
from langflow.graph.vertex.types import FileToolVertex, LLMVertex, ToolkitVertex
|
||||
from langflow.interface.tools.constants import FILE_TOOLS
|
||||
from langflow.utils import payload
|
||||
from loguru import logger
|
||||
|
||||
|
||||
class Graph:
|
||||
|
|
@ -71,7 +70,7 @@ class Graph:
|
|||
def _build_graph(self) -> None:
|
||||
"""Builds the graph from the vertices and edges."""
|
||||
self.vertices = self._build_vertices()
|
||||
self.vertex_ids = [vertex.id for vertex in self.vertices]
|
||||
self.vertex_map = {vertex.id: vertex for vertex in self.vertices}
|
||||
self.edges = self._build_edges()
|
||||
|
||||
# This is a hack to make sure that the LLM vertex is sent to
|
||||
|
|
@ -108,7 +107,7 @@ class Graph:
|
|||
|
||||
def get_vertex(self, vertex_id: str) -> Union[None, Vertex]:
|
||||
"""Returns a vertex by id."""
|
||||
return next((vertex for vertex in self.vertices if vertex.id == vertex_id), None)
|
||||
return self.vertex_map.get(vertex_id)
|
||||
|
||||
def get_vertex_edges(self, vertex_id: str) -> List[Edge]:
|
||||
"""Returns a list of edges for a given vertex."""
|
||||
|
|
@ -154,8 +153,8 @@ class Graph:
|
|||
if state[vertex] == 0:
|
||||
state[vertex] = 1
|
||||
for edge in vertex.edges:
|
||||
if edge.source == vertex:
|
||||
dfs(edge.target)
|
||||
if edge.source_id == vertex.id:
|
||||
dfs(self.get_vertex(edge.target_id))
|
||||
state[vertex] = 2
|
||||
sorted_vertices.append(vertex)
|
||||
|
||||
|
|
@ -250,3 +249,4 @@ class Graph:
|
|||
vertex_ids = [vertex.id for vertex in self.vertices]
|
||||
edges_repr = "\n".join([f"{edge.source_id} --> {edge.target_id}" for edge in self.edges])
|
||||
return f"Graph:\nNodes: {vertex_ids}\nConnections:\n{edges_repr}"
|
||||
return f"Graph:\nNodes: {vertex_ids}\nConnections:\n{edges_repr}"
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
import ast
|
||||
import inspect
|
||||
import types
|
||||
from typing import TYPE_CHECKING, Any, Dict, List, Optional
|
||||
from typing import TYPE_CHECKING, Any, Coroutine, Dict, List, Optional
|
||||
|
||||
from langflow.graph.utils import UnbuiltObject
|
||||
from langflow.interface.initialize import loading
|
||||
|
|
@ -73,8 +73,8 @@ class Vertex:
|
|||
self.parent_node_id = state["parent_node_id"]
|
||||
self.parent_is_top_level = state["parent_is_top_level"]
|
||||
|
||||
def set_top_level(self, top_level_nodes: List[str]) -> None:
|
||||
self.parent_is_top_level = self.parent_node_id in top_level_nodes
|
||||
def set_top_level(self, top_level_vertices: List[str]) -> None:
|
||||
self.parent_is_top_level = self.parent_node_id in top_level_vertices
|
||||
|
||||
def _parse_data(self) -> None:
|
||||
self.data = self._data["data"]
|
||||
|
|
@ -245,7 +245,10 @@ class Vertex:
|
|||
|
||||
if self.is_task and self.task_id is not None:
|
||||
task = self.get_task()
|
||||
|
||||
result = task.get(timeout=timeout)
|
||||
if isinstance(result, Coroutine):
|
||||
result = await result
|
||||
if result is not None: # If result is ready
|
||||
self._update_built_object_and_artifacts(result)
|
||||
return self._built_object
|
||||
|
|
|
|||
|
|
@ -26,7 +26,7 @@ class AgentVertex(Vertex):
|
|||
|
||||
def _set_tools_and_chains(self) -> None:
|
||||
for edge in self.edges:
|
||||
if not hasattr(edge, "source"):
|
||||
if not hasattr(edge, "source_id"):
|
||||
continue
|
||||
source_node = self.graph.get_vertex(edge.source_id)
|
||||
if isinstance(source_node, (ToolVertex, ToolkitVertex)):
|
||||
|
|
|
|||
|
|
@ -8,7 +8,6 @@ from uuid import UUID
|
|||
|
||||
from cachetools import LRUCache, cached
|
||||
from fastapi import HTTPException
|
||||
from langflow.api.utils import get_new_key
|
||||
from langflow.interface.agents.base import agent_creator
|
||||
from langflow.interface.chains.base import chain_creator
|
||||
from langflow.interface.custom.base import custom_component_creator
|
||||
|
|
@ -416,8 +415,8 @@ def build_valid_menu(valid_components):
|
|||
|
||||
component_template = build_langchain_template_custom_component(component_extractor)
|
||||
component_template["output_types"] = component_output_types
|
||||
full_path = f"{menu_path}/{component.get('file')}"
|
||||
component_template["full_path"] = full_path
|
||||
# full_path = f"{menu_path}/{component.get('file')}"
|
||||
# component_template["full_path"] = full_path
|
||||
if len(component_output_types) == 1:
|
||||
component_name = component_output_types[0]
|
||||
else:
|
||||
|
|
@ -476,15 +475,24 @@ def build_invalid_menu(invalid_components):
|
|||
return invalid_menu
|
||||
|
||||
|
||||
def get_new_key(dictionary, original_key):
|
||||
counter = 1
|
||||
new_key = original_key + " (" + str(counter) + ")"
|
||||
while new_key in dictionary:
|
||||
counter += 1
|
||||
new_key = original_key + " (" + str(counter) + ")"
|
||||
return new_key
|
||||
|
||||
|
||||
def merge_nested_dicts_with_renaming(dict1, dict2):
|
||||
for key, value in dict2.items():
|
||||
if key in dict1 and isinstance(value, dict) and isinstance(dict1.get(key), dict):
|
||||
for sub_key, sub_value in value.items():
|
||||
if sub_key in dict1[key]:
|
||||
new_key = get_new_key(dict1[key], sub_key)
|
||||
dict1[key][new_key] = sub_value
|
||||
else:
|
||||
dict1[key][sub_key] = sub_value
|
||||
# if sub_key in dict1[key]:
|
||||
# new_key = get_new_key(dict1[key], sub_key)
|
||||
# dict1[key][new_key] = sub_value
|
||||
# else:
|
||||
dict1[key][sub_key] = sub_value
|
||||
else:
|
||||
dict1[key] = value
|
||||
return dict1
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
import asyncio
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Any, Dict, List, Optional, Tuple, Union
|
||||
from typing import Any, Coroutine, Dict, List, Optional, Tuple, Union
|
||||
|
||||
from langchain.chains.base import Chain
|
||||
from langchain.schema import AgentAction, Document
|
||||
|
|
@ -138,6 +138,8 @@ def generate_result(langchain_object: Union[Chain, VectorStore], inputs: dict):
|
|||
result = langchain_object.dict()
|
||||
else:
|
||||
logger.warning(f"Unknown langchain_object type: {type(langchain_object)}")
|
||||
if isinstance(langchain_object, Coroutine):
|
||||
result = asyncio.run(langchain_object)
|
||||
result = langchain_object
|
||||
|
||||
return result
|
||||
|
|
|
|||
67
src/backend/langflow/services/cache/utils.py
vendored
67
src/backend/langflow/services/cache/utils.py
vendored
|
|
@ -1,24 +1,23 @@
|
|||
import base64
|
||||
import contextlib
|
||||
import functools
|
||||
import hashlib
|
||||
import os
|
||||
import tempfile
|
||||
from collections import OrderedDict
|
||||
from pathlib import Path
|
||||
from typing import TYPE_CHECKING, Any, Dict
|
||||
from platformdirs import user_cache_dir
|
||||
|
||||
from fastapi import UploadFile
|
||||
from langflow.api.v1.schemas import BuildStatus
|
||||
from langflow.services.database.models.base import orjson_dumps
|
||||
from platformdirs import user_cache_dir
|
||||
|
||||
if TYPE_CHECKING:
|
||||
pass
|
||||
from langflow.api.v1.schemas import BuildStatus
|
||||
|
||||
CACHE: Dict[str, Any] = {}
|
||||
|
||||
CACHE_DIR = user_cache_dir("langflow", "langflow")
|
||||
|
||||
PREFIX = "langflow_cache"
|
||||
|
||||
|
||||
def create_cache_folder(func):
|
||||
def wrapper(*args, **kwargs):
|
||||
|
|
@ -33,50 +32,6 @@ def create_cache_folder(func):
|
|||
return wrapper
|
||||
|
||||
|
||||
def memoize_dict(maxsize=128):
|
||||
cache = OrderedDict()
|
||||
hash_to_key = {} # Mapping from hash to cache key
|
||||
|
||||
def decorator(func):
|
||||
@functools.wraps(func)
|
||||
def wrapper(*args, **kwargs):
|
||||
hashed = compute_dict_hash(args[0])
|
||||
key = (func.__name__, hashed, frozenset(kwargs.items()))
|
||||
if key not in cache:
|
||||
result = func(*args, **kwargs)
|
||||
cache[key] = result
|
||||
hash_to_key[hashed] = key # Store the mapping
|
||||
if len(cache) > maxsize:
|
||||
oldest_key = next(iter(cache))
|
||||
oldest_hash = oldest_key[1]
|
||||
del cache[oldest_key]
|
||||
del hash_to_key[oldest_hash]
|
||||
else:
|
||||
result = cache[key]
|
||||
|
||||
wrapper.session_id = hashed # Store hash in the wrapper
|
||||
return result
|
||||
|
||||
def clear_cache():
|
||||
cache.clear()
|
||||
hash_to_key.clear()
|
||||
|
||||
def get_result_by_session_id(session_id):
|
||||
key = hash_to_key.get(session_id)
|
||||
return cache.get(key) if key is not None else None
|
||||
|
||||
wrapper.clear_cache = clear_cache # type: ignore
|
||||
wrapper.get_result_by_session_id = get_result_by_session_id # type: ignore
|
||||
wrapper.hash = None
|
||||
wrapper.cache = cache # type: ignore
|
||||
return wrapper
|
||||
|
||||
return decorator
|
||||
|
||||
|
||||
PREFIX = "langflow_cache"
|
||||
|
||||
|
||||
@create_cache_folder
|
||||
def clear_old_cache_files(max_cache_size: int = 3):
|
||||
cache_dir = Path(tempfile.gettempdir()) / PREFIX
|
||||
|
|
@ -90,14 +45,6 @@ def clear_old_cache_files(max_cache_size: int = 3):
|
|||
os.remove(cache_file)
|
||||
|
||||
|
||||
def compute_dict_hash(graph_data):
|
||||
graph_data = filter_json(graph_data)
|
||||
|
||||
cleaned_graph_json = orjson_dumps(graph_data, sort_keys=True)
|
||||
|
||||
return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest()
|
||||
|
||||
|
||||
def filter_json(json_data):
|
||||
filtered_data = json_data.copy()
|
||||
|
||||
|
|
@ -203,9 +150,11 @@ def save_uploaded_file(file: UploadFile, folder_name):
|
|||
return file_path
|
||||
|
||||
|
||||
def update_build_status(cache_service, flow_id: str, status: BuildStatus):
|
||||
def update_build_status(cache_service, flow_id: str, status: "BuildStatus"):
|
||||
cached_flow = cache_service[flow_id]
|
||||
if cached_flow is None:
|
||||
raise ValueError(f"Flow {flow_id} not found in cache")
|
||||
cached_flow["status"] = status
|
||||
cache_service[flow_id] = cached_flow
|
||||
cached_flow["status"] = status
|
||||
cache_service[flow_id] = cached_flow
|
||||
|
|
|
|||
|
|
@ -2,8 +2,7 @@ from typing import TYPE_CHECKING
|
|||
|
||||
from langflow.interface.run import build_sorted_vertices
|
||||
from langflow.services.base import Service
|
||||
from langflow.services.cache.utils import compute_dict_hash
|
||||
from langflow.services.session.utils import session_id_generator
|
||||
from langflow.services.session.utils import compute_dict_hash, session_id_generator
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langflow.services.cache.base import BaseCacheService
|
||||
|
|
|
|||
|
|
@ -1,6 +1,18 @@
|
|||
import hashlib
|
||||
import random
|
||||
import string
|
||||
|
||||
from langflow.services.cache.utils import filter_json
|
||||
from langflow.services.database.models.base import orjson_dumps
|
||||
|
||||
|
||||
def session_id_generator(size=6):
|
||||
return "".join(random.SystemRandom().choices(string.ascii_uppercase + string.digits, k=size))
|
||||
|
||||
|
||||
def compute_dict_hash(graph_data):
|
||||
graph_data = filter_json(graph_data)
|
||||
|
||||
cleaned_graph_json = orjson_dumps(graph_data, sort_keys=True)
|
||||
|
||||
return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest()
|
||||
|
|
|
|||
|
|
@ -1,10 +1,11 @@
|
|||
from typing import Any, Callable, Coroutine, Union
|
||||
from langflow.utils.logger import configure
|
||||
from loguru import logger
|
||||
|
||||
from langflow.services.base import Service
|
||||
from langflow.services.task.backends.anyio import AnyIOBackend
|
||||
from langflow.services.task.backends.base import TaskBackend
|
||||
from langflow.services.task.utils import get_celery_worker_status
|
||||
from langflow.utils.logger import configure
|
||||
from loguru import logger
|
||||
|
||||
|
||||
def check_celery_availability():
|
||||
|
|
@ -60,7 +61,11 @@ class TaskService(Service):
|
|||
if not hasattr(task_func, "apply"):
|
||||
raise ValueError(f"Task function {task_func} does not have an apply method")
|
||||
task = task_func.apply(args=args, kwargs=kwargs)
|
||||
|
||||
result = task.get()
|
||||
# if result is coroutine
|
||||
if isinstance(result, Coroutine):
|
||||
result = await result
|
||||
return task.id, result
|
||||
|
||||
async def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
|
||||
|
|
@ -71,3 +76,6 @@ class TaskService(Service):
|
|||
|
||||
def get_task(self, task_id: Union[int, str]) -> Any:
|
||||
return self.backend.get_task(task_id)
|
||||
|
||||
def get_task(self, task_id: Union[int, str]) -> Any:
|
||||
return self.backend.get_task(task_id)
|
||||
|
|
|
|||
|
|
@ -235,6 +235,12 @@ def build_class_constructor(compiled_class, exec_globals, class_name):
|
|||
:param class_name: Name of the class
|
||||
:return: Constructor function for the class
|
||||
"""
|
||||
# Add basic imports from typing module
|
||||
# List, Dict, Tuple, Union, Optional
|
||||
# to the global scope
|
||||
for name in ["List", "Dict", "Tuple", "Union", "Optional"]:
|
||||
exec_globals[name] = getattr(importlib.import_module("typing"), name)
|
||||
|
||||
exec(compiled_class, exec_globals, locals())
|
||||
exec_globals[class_name] = locals()[class_name]
|
||||
|
||||
|
|
|
|||
|
|
@ -6,6 +6,8 @@ from langflow.core.celery_app import celery_app
|
|||
from langflow.processing.process import Result, generate_result, process_inputs
|
||||
from langflow.services.deps import get_session_service
|
||||
from langflow.services.manager import initialize_session_service
|
||||
from loguru import logger
|
||||
from rich import print
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langflow.graph.vertex.base import Vertex
|
||||
|
|
@ -36,19 +38,38 @@ def process_graph_cached_task(
|
|||
clear_cache=False,
|
||||
session_id=None,
|
||||
) -> Dict[str, Any]:
|
||||
initialize_session_service()
|
||||
session_service = get_session_service()
|
||||
if clear_cache:
|
||||
session_service.clear_session(session_id)
|
||||
if session_id is None:
|
||||
session_id = session_service.generate_key(session_id=session_id, data_graph=data_graph)
|
||||
# Load the graph using SessionService
|
||||
graph, artifacts = async_to_sync(session_service.load_session)(session_id, data_graph)
|
||||
built_object = graph.build()
|
||||
processed_inputs = process_inputs(inputs, artifacts)
|
||||
result = generate_result(built_object, processed_inputs)
|
||||
# langchain_object is now updated with the new memory
|
||||
# we need to update the cache with the updated langchain_object
|
||||
session_service.update_session(session_id, (graph, artifacts))
|
||||
try:
|
||||
initialize_session_service()
|
||||
session_service = get_session_service()
|
||||
|
||||
return Result(result=result, session_id=session_id).model_dump()
|
||||
if clear_cache:
|
||||
session_service.clear_session(session_id)
|
||||
|
||||
if session_id is None:
|
||||
session_id = session_service.generate_key(session_id=session_id, data_graph=data_graph)
|
||||
|
||||
# Use async_to_sync to handle the asynchronous part of the session service
|
||||
session_data = async_to_sync(session_service.load_session, force_new_loop=True)(session_id, data_graph)
|
||||
logger.warning(f"session_data: {session_data}")
|
||||
graph, artifacts = session_data if session_data else (None, None)
|
||||
|
||||
if not graph:
|
||||
raise ValueError("Graph not found in the session")
|
||||
|
||||
# Use async_to_sync for the asynchronous build method
|
||||
built_object = async_to_sync(graph.build, force_new_loop=True)()
|
||||
|
||||
logger.debug(f"Built object: {built_object}")
|
||||
|
||||
processed_inputs = process_inputs(inputs, artifacts or {})
|
||||
result = generate_result(built_object, processed_inputs)
|
||||
|
||||
# Update the session with the new data
|
||||
session_service.update_session(session_id, (graph, artifacts))
|
||||
result_object = Result(result=result, session_id=session_id).model_dump()
|
||||
print(f"Result object: {result_object}")
|
||||
return result_object
|
||||
except Exception as e:
|
||||
logger.error(f"Error in process_graph_cached_task: {e}")
|
||||
# Handle the exception as needed, maybe re-raise or return an error message
|
||||
raise
|
||||
|
|
|
|||
|
|
@ -16,7 +16,7 @@ const buttonVariants = cva(
|
|||
primary:
|
||||
"border bg-background text-secondary-foreground hover:bg-background/80 dark:hover:bg-background/10 hover:shadow-sm",
|
||||
secondary:
|
||||
"border border-muted bg-muted text-secondary-foreground hover:bg-secondary/80",
|
||||
"border border-muted bg-muted text-muted-foreground hover:bg-secondary/80",
|
||||
ghost: "hover:bg-accent hover:text-accent-foreground",
|
||||
link: "underline-offset-4 hover:underline text-primary",
|
||||
},
|
||||
|
|
|
|||
|
|
@ -308,7 +308,7 @@ export function FlowsProvider({ children }: { children: ReactNode }) {
|
|||
let text = await file.text();
|
||||
let fileData = JSON.parse(text);
|
||||
if (
|
||||
(fileData.is_component === undefined && isComponent === true) ||
|
||||
(!fileData.is_component && isComponent === true) ||
|
||||
(fileData.is_component !== undefined &&
|
||||
fileData.is_component !== isComponent)
|
||||
) {
|
||||
|
|
@ -339,11 +339,10 @@ export function FlowsProvider({ children }: { children: ReactNode }) {
|
|||
let fileData: FlowType = await JSON.parse(text);
|
||||
console.log(isComponent, fileData);
|
||||
|
||||
if (fileData.is_component === undefined) {
|
||||
reject("Your file doesn't have the is_component property.");
|
||||
} else if (
|
||||
fileData.is_component !== undefined &&
|
||||
fileData.is_component !== isComponent
|
||||
if (
|
||||
(!fileData.is_component && isComponent === true) ||
|
||||
(fileData.is_component !== undefined &&
|
||||
fileData.is_component !== isComponent)
|
||||
) {
|
||||
reject("You cannot upload a component as a flow or vice versa");
|
||||
} else {
|
||||
|
|
|
|||
|
|
@ -1,5 +1,6 @@
|
|||
import { InfinityIcon } from "lucide-react";
|
||||
import { InfinityIcon, Terminal, Code } from "lucide-react";
|
||||
import { forwardRef } from "react";
|
||||
import ForwardedIconComponent from "../../components/genericIconComponent";
|
||||
|
||||
export const GradientInfinity = forwardRef<
|
||||
SVGSVGElement,
|
||||
|
|
@ -15,7 +16,52 @@ export const GradientInfinity = forwardRef<
|
|||
</linearGradient>
|
||||
</defs>
|
||||
</svg>
|
||||
<InfinityIcon stroke="url(#grad1)" ref={ref} {...props} />
|
||||
<Code stroke="url(#grad1)" ref={ref} {...props} />
|
||||
</>
|
||||
);
|
||||
});
|
||||
|
||||
|
||||
export const GradientSave = forwardRef<
|
||||
SVGSVGElement,
|
||||
React.PropsWithChildren<{}>
|
||||
>((props, ref) => {
|
||||
return (
|
||||
<>
|
||||
<svg width="0" height="0" style={{ position: "absolute" }}>
|
||||
<defs>
|
||||
<linearGradient id="grad2" x1="0%" y1="0%" x2="100%" y2="0%">
|
||||
<stop className="gradient-start" offset="0%" />
|
||||
<stop className="gradient-end" offset="100%" />
|
||||
</linearGradient>
|
||||
</defs>
|
||||
</svg>
|
||||
<ForwardedIconComponent
|
||||
name="Save"
|
||||
stroke="url(#grad2)"
|
||||
ref={ref}
|
||||
{...props}
|
||||
/>
|
||||
</>
|
||||
);
|
||||
});
|
||||
|
||||
export const GradientGroup = (props) => {
|
||||
return (
|
||||
<>
|
||||
<svg width="0" height="0" style={{ position: "absolute" }}>
|
||||
<defs>
|
||||
<linearGradient id="grad3" x1="0%" y1="0%" x2="100%" y2="0%">
|
||||
<stop className="gradient-start" offset="0%" />
|
||||
<stop className="gradient-end" offset="100%" />
|
||||
</linearGradient>
|
||||
</defs>
|
||||
</svg>
|
||||
<ForwardedIconComponent
|
||||
name="Combine"
|
||||
stroke="url(#grad3)"
|
||||
{...props}
|
||||
/>
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
|
|
|||
|
|
@ -29,6 +29,7 @@ function ConfirmationModal({
|
|||
cancelText,
|
||||
confirmationText,
|
||||
children,
|
||||
destructive = false,
|
||||
icon,
|
||||
data,
|
||||
index,
|
||||
|
|
@ -56,9 +57,9 @@ function ConfirmationModal({
|
|||
);
|
||||
|
||||
return (
|
||||
<BaseModal size={size ?? "x-small"} open={modalOpen} setOpen={setModalOpen}>
|
||||
<BaseModal size={size} open={modalOpen} setOpen={setModalOpen}>
|
||||
<BaseModal.Trigger asChild={asChild}>{triggerChild}</BaseModal.Trigger>
|
||||
<BaseModal.Header description={titleHeader}>
|
||||
<BaseModal.Header description={titleHeader ?? null}>
|
||||
<span className="pr-2">{title}</span>
|
||||
<Icon
|
||||
name="icon"
|
||||
|
|
@ -67,7 +68,7 @@ function ConfirmationModal({
|
|||
/>
|
||||
</BaseModal.Header>
|
||||
<BaseModal.Content>
|
||||
{modalContentTitle != "" && (
|
||||
{modalContentTitle && modalContentTitle != "" && (
|
||||
<>
|
||||
<strong>{modalContentTitle}</strong>
|
||||
<br></br>
|
||||
|
|
@ -78,7 +79,8 @@ function ConfirmationModal({
|
|||
|
||||
<BaseModal.Footer>
|
||||
<Button
|
||||
className="ml-3 mt-5"
|
||||
className="ml-3"
|
||||
variant={destructive ? "destructive" : "default"}
|
||||
onClick={() => {
|
||||
setModalOpen(false);
|
||||
onConfirm(index, data);
|
||||
|
|
@ -88,7 +90,7 @@ function ConfirmationModal({
|
|||
</Button>
|
||||
|
||||
<Button
|
||||
className="mt-5"
|
||||
className=""
|
||||
variant="outline"
|
||||
onClick={() => {
|
||||
if (onCancel) onCancel();
|
||||
|
|
|
|||
|
|
@ -41,7 +41,7 @@ export default function DeleteConfirmationModal({
|
|||
</span>
|
||||
<DialogFooter>
|
||||
<DialogClose>
|
||||
<Button className="mr-3">Cancel</Button>
|
||||
<Button className="mr-3" variant="outline">Cancel</Button>
|
||||
|
||||
<Button
|
||||
type="submit"
|
||||
|
|
|
|||
|
|
@ -99,7 +99,7 @@ function BaseModal({
|
|||
switch (size) {
|
||||
case "x-small":
|
||||
minWidth = "min-w-[20vw]";
|
||||
height = "h-[10vh]";
|
||||
height = " ";
|
||||
break;
|
||||
case "smaller":
|
||||
minWidth = "min-w-[40vw]";
|
||||
|
|
@ -150,7 +150,7 @@ function BaseModal({
|
|||
<div className="truncate-doubleline word-break-break-word">
|
||||
{headerChild}
|
||||
</div>
|
||||
<div className={`mt-2 flex flex-col ${height!} w-full `}>
|
||||
<div className={`flex flex-col ${height!} w-full `}>
|
||||
{ContentChild}
|
||||
</div>
|
||||
{ContentFooter && (
|
||||
|
|
|
|||
|
|
@ -1,6 +1,7 @@
|
|||
import { useEffect, useState } from "react";
|
||||
import { NodeToolbar } from "reactflow";
|
||||
import IconComponent from "../../../../components/genericIconComponent";
|
||||
import { GradientGroup } from "../../../../icons/GradientSparkles";
|
||||
export default function SelectionMenu({ onClick, nodes, isVisible }) {
|
||||
const [isOpen, setIsOpen] = useState(false);
|
||||
const [isTransitioning, setIsTransitioning] = useState(false);
|
||||
|
|
@ -37,15 +38,15 @@ export default function SelectionMenu({ onClick, nodes, isVisible }) {
|
|||
<div className="h-10 w-28 overflow-hidden">
|
||||
<div
|
||||
className={
|
||||
"h-10 w-24 rounded-md border border-indigo-300 bg-white px-2.5 text-gray-700 shadow-inner transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300" +
|
||||
(isTransitioning ? " translate-y-0" : " translate-y-10")
|
||||
"h-10 w-24 rounded-md border border-indigo-300 bg-white px-2.5 text-gray-700 shadow-inner transition-all duration-400 ease-in-out dark:bg-gray-800 dark:text-gray-300" +
|
||||
(isTransitioning ? " opacity-100" : " opacity-0 ")
|
||||
}
|
||||
>
|
||||
<button
|
||||
className="flex h-full w-full items-center justify-between text-sm hover:text-indigo-500"
|
||||
onClick={onClick}
|
||||
>
|
||||
<IconComponent name="Group" className="w-6" />
|
||||
<GradientGroup strokeWidth={1.5} size={22} className="text-primary" />
|
||||
Group
|
||||
</button>
|
||||
</div>
|
||||
|
|
|
|||
|
|
@ -343,7 +343,11 @@ export default function ExtraSidebar(): JSX.Element {
|
|||
return -1;
|
||||
} else if (b.toLowerCase() === "saved_components") {
|
||||
return 1;
|
||||
} else {
|
||||
} else if (a.toLowerCase() === "custom_components") {
|
||||
return -2
|
||||
} else if (b.toLowerCase() === "custom_components") {
|
||||
return 2
|
||||
}else {
|
||||
return a.localeCompare(b);
|
||||
}
|
||||
})
|
||||
|
|
|
|||
|
|
@ -277,11 +277,10 @@ export default function NodeToolbarComponent({
|
|||
<ConfirmationModal
|
||||
asChild
|
||||
open={showOverrideModal}
|
||||
title={`Replace ${data.node?.display_name}`}
|
||||
titleHeader={`Please, confirm your save actions`}
|
||||
modalContentTitle="Attention!"
|
||||
cancelText="New"
|
||||
title={`Replace`}
|
||||
cancelText="Create New"
|
||||
confirmationText="Replace"
|
||||
size={"x-small"}
|
||||
icon={"SaveAll"}
|
||||
index={6}
|
||||
onConfirm={(index, user) => {
|
||||
|
|
@ -292,8 +291,7 @@ export default function NodeToolbarComponent({
|
|||
>
|
||||
<ConfirmationModal.Content>
|
||||
<span>
|
||||
It seems {data.node?.display_name} already exists. Replacing it
|
||||
will switch the current component. Proceed with replacement?
|
||||
It seems {data.node?.display_name} already exists. Do you want to replace it with the current or create a new one?
|
||||
</span>
|
||||
</ConfirmationModal.Content>
|
||||
<ConfirmationModal.Trigger>
|
||||
|
|
|
|||
|
|
@ -95,47 +95,49 @@ export default function ComponentsComponent({
|
|||
>
|
||||
<div className="flex h-full w-full flex-col justify-between">
|
||||
<div className="flex w-full flex-col gap-4">
|
||||
<div className="grid w-full gap-4 md:grid-cols-2 lg:grid-cols-2">
|
||||
{!isLoading || data?.length > 0 ? (
|
||||
data?.map((item, idx) => (
|
||||
<CollectionCardComponent
|
||||
onDelete={() => {
|
||||
removeFlow(item.id);
|
||||
}}
|
||||
key={idx}
|
||||
data={item}
|
||||
disabled={isLoading}
|
||||
button={
|
||||
!is_component ? (
|
||||
<Button
|
||||
variant="outline"
|
||||
size="sm"
|
||||
className="whitespace-nowrap "
|
||||
onClick={() => {
|
||||
navigate("/flow/" + item.id);
|
||||
}}
|
||||
>
|
||||
<IconComponent
|
||||
name="ExternalLink"
|
||||
className="main-page-nav-button"
|
||||
/>
|
||||
Edit Flow
|
||||
</Button>
|
||||
) : (
|
||||
<></>
|
||||
)
|
||||
}
|
||||
/>
|
||||
))
|
||||
) : !isLoading && data?.length === 0 ? (
|
||||
<>You haven't created {name}s yet.</>
|
||||
) : (
|
||||
<>
|
||||
<SkeletonCardComponent />
|
||||
<SkeletonCardComponent />
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
{!isLoading && data.length === 0 ? (
|
||||
<div className="w-full text-center">You haven't created any {name}s yet.</div>
|
||||
) : (
|
||||
<div className="grid w-full gap-4 md:grid-cols-2 lg:grid-cols-2">
|
||||
{!isLoading || data?.length > 0 ? (
|
||||
data?.map((item, idx) => (
|
||||
<CollectionCardComponent
|
||||
onDelete={() => {
|
||||
removeFlow(item.id);
|
||||
}}
|
||||
key={idx}
|
||||
data={item}
|
||||
disabled={isLoading}
|
||||
button={
|
||||
!is_component ? (
|
||||
<Button
|
||||
variant="outline"
|
||||
size="sm"
|
||||
className="whitespace-nowrap "
|
||||
onClick={() => {
|
||||
navigate("/flow/" + item.id);
|
||||
}}
|
||||
>
|
||||
<IconComponent
|
||||
name="ExternalLink"
|
||||
className="main-page-nav-button"
|
||||
/>
|
||||
Edit Flow
|
||||
</Button>
|
||||
) : (
|
||||
<></>
|
||||
)
|
||||
}
|
||||
/>
|
||||
))
|
||||
) : (
|
||||
<>
|
||||
<SkeletonCardComponent />
|
||||
<SkeletonCardComponent />
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
{!isLoading && allData.length > 0 && (
|
||||
<div className="relative py-6">
|
||||
|
|
|
|||
|
|
@ -283,9 +283,10 @@ export type PaginatorComponentType = {
|
|||
export type ConfirmationModalType = {
|
||||
onCancel?: () => void;
|
||||
title: string;
|
||||
titleHeader: string;
|
||||
titleHeader?: string;
|
||||
asChild?: boolean;
|
||||
modalContentTitle: string;
|
||||
destructive?: boolean;
|
||||
modalContentTitle?: string;
|
||||
cancelText: string;
|
||||
confirmationText: string;
|
||||
children: [
|
||||
|
|
|
|||
|
|
@ -99,6 +99,8 @@ import {
|
|||
X,
|
||||
XCircle,
|
||||
Zap,
|
||||
Combine,
|
||||
TerminalIcon
|
||||
} from "lucide-react";
|
||||
import { FaApple, FaGithub } from "react-icons/fa";
|
||||
import { AWSIcon } from "../icons/AWS";
|
||||
|
|
@ -111,7 +113,7 @@ import { EvernoteIcon } from "../icons/Evernote";
|
|||
import { FBIcon } from "../icons/FacebookMessenger";
|
||||
import { GitBookIcon } from "../icons/GitBook";
|
||||
import { GoogleIcon } from "../icons/Google";
|
||||
import { GradientInfinity } from "../icons/GradientSparkles";
|
||||
import { GradientInfinity, GradientSave } from "../icons/GradientSparkles";
|
||||
import { HuggingFaceIcon } from "../icons/HuggingFace";
|
||||
import { IFixIcon } from "../icons/IFixIt";
|
||||
import { MetaIcon } from "../icons/Meta";
|
||||
|
|
@ -260,7 +262,7 @@ export const nodeIconsLucide: iconsType = {
|
|||
advanced: Laptop2,
|
||||
chat: MessageCircle,
|
||||
embeddings: Fingerprint,
|
||||
saved_components: Save,
|
||||
saved_components: GradientSave,
|
||||
documentloaders: Paperclip,
|
||||
vectorstores: Layers,
|
||||
toolkits: Hammer,
|
||||
|
|
@ -356,4 +358,6 @@ export const nodeIconsLucide: iconsType = {
|
|||
Link,
|
||||
ToyBrick,
|
||||
RefreshCcw,
|
||||
Combine,
|
||||
TerminalIcon,
|
||||
};
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
import json
|
||||
from langflow.graph import Graph
|
||||
|
||||
import pytest
|
||||
from langflow.graph import Graph
|
||||
|
||||
|
||||
def get_graph(_type="basic"):
|
||||
|
|
@ -41,5 +41,5 @@ def langchain_objects_are_equal(obj1, obj2):
|
|||
def test_build_graph(client, basic_data_graph):
|
||||
graph = Graph.from_payload(basic_data_graph)
|
||||
assert graph is not None
|
||||
assert len(graph.vertices) == len(basic_data_graph["nodes"])
|
||||
assert len(graph.nodes) == len(basic_data_graph["nodes"])
|
||||
assert len(graph.edges) == len(basic_data_graph["edges"])
|
||||
|
|
|
|||
|
|
@ -1,18 +1,17 @@
|
|||
from collections import namedtuple
|
||||
import time
|
||||
import uuid
|
||||
from langflow.processing.process import Result
|
||||
from langflow.services.auth.utils import get_password_hash
|
||||
from langflow.services.database.models.api_key.model import ApiKey
|
||||
from langflow.services.deps import get_settings_service
|
||||
from langflow.services.database.utils import session_getter
|
||||
from langflow.services.deps import get_db_service
|
||||
from collections import namedtuple
|
||||
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
from langflow.interface.tools.constants import CUSTOM_TOOLS
|
||||
from langflow.processing.process import Result
|
||||
from langflow.services.auth.utils import get_password_hash
|
||||
from langflow.services.database.models.api_key.model import ApiKey
|
||||
from langflow.services.database.utils import session_getter
|
||||
from langflow.services.deps import get_db_service, get_settings_service
|
||||
from langflow.template.frontend_node.chains import TimeTravelGuideChainNode
|
||||
|
||||
import time
|
||||
|
||||
|
||||
def run_post(client, flow_id, headers, post_data):
|
||||
response = client.post(
|
||||
|
|
@ -25,7 +24,7 @@ def run_post(client, flow_id, headers, post_data):
|
|||
|
||||
|
||||
# Helper function to poll task status
|
||||
def poll_task_status(client, headers, href, max_attempts=20, sleep_time=1):
|
||||
def poll_task_status(client, headers, href, max_attempts=20, sleep_time=2):
|
||||
for _ in range(max_attempts):
|
||||
task_status_response = client.get(
|
||||
href,
|
||||
|
|
|
|||
|
|
@ -81,8 +81,8 @@ def test_graph_structure(basic_graph):
|
|||
assert isinstance(node, Vertex)
|
||||
for edge in basic_graph.edges:
|
||||
assert isinstance(edge, Edge)
|
||||
assert edge.source_id in basic_graph.vertex_ids
|
||||
assert edge.target_id in basic_graph.vertex_ids
|
||||
assert edge.source_id in basic_graph.vertex_map.keys()
|
||||
assert edge.target_id in basic_graph.vertex_map.keys()
|
||||
|
||||
|
||||
def test_circular_dependencies(basic_graph):
|
||||
|
|
|
|||
|
|
@ -1,9 +1,10 @@
|
|||
import json
|
||||
|
||||
import pytest
|
||||
from langchain.chains.base import Chain
|
||||
from langflow.processing.process import load_flow_from_json
|
||||
from langflow.graph import Graph
|
||||
from langflow.utils.payload import get_root_node
|
||||
from langflow.processing.process import load_flow_from_json
|
||||
from langflow.utils.payload import get_root_vertex
|
||||
|
||||
|
||||
def test_load_flow_from_json():
|
||||
|
|
@ -22,14 +23,15 @@ def test_load_flow_from_json_with_tweaks():
|
|||
assert loaded.llm.model_name == "test model"
|
||||
|
||||
|
||||
def test_get_root_node():
|
||||
def test_get_root_vertex():
|
||||
with open(pytest.BASIC_EXAMPLE_PATH, "r") as f:
|
||||
flow_graph = json.load(f)
|
||||
data_graph = flow_graph["data"]
|
||||
nodes = data_graph["nodes"]
|
||||
edges = data_graph["edges"]
|
||||
graph = Graph(nodes, edges)
|
||||
root = get_root_node(graph)
|
||||
root = get_root_vertex(graph)
|
||||
assert root is not None
|
||||
assert hasattr(root, "id")
|
||||
assert hasattr(root, "data")
|
||||
assert hasattr(root, "data")
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue