jyapayne/langflow
1
0
Fork 0
Code Issues Pull requests Projects Releases 1 Packages Wiki Activity Actions

Added VertexAI and fixed a bug in the websocket (#576)

Browse source 
Issue #290
This commit is contained in:
anovazzi1 2023-06-30 16:58:58 -03:00 • committed by GitHub
commit 98ed719053
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
15 changed files with 556 additions and 105 deletions
Download patch file Download diff file Expand all files Collapse all files

485
poetry.lock generated
View file

@ -1596,6 +1596,8 @@ files = [
[package.dependencies]
google-auth = ">=2.14.1,<3.0.dev0"
googleapis-common-protos = ">=1.56.2,<2.0.dev0"
grpcio = {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""}
grpcio-status = {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""}
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
requests = ">=2.18.0,<3.0.0.dev0"
@ -1666,6 +1668,236 @@ google-auth = "*"
httplib2 = ">=0.15.0"
six = "*"
[[package]]
name = "google-cloud-aiplatform"
version = "1.27.0"
description = "Vertex AI API client library"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "google-cloud-aiplatform-1.27.0.tar.gz", hash = "sha256:ba9724e51eefddd284547ed632afcf23573b9040ea8ca5fd668a9ea093d5dcec"},
{file = "google_cloud_aiplatform-1.27.0-py2.py3-none-any.whl", hash = "sha256:501a1dd8ad0012d73da3f3938140113f163d7c75b442bfc2e5f9a8889aca4119"},
]
[package.dependencies]
google-api-core = {version = ">=1.32.0,<2.0.0 || >=2.8.0,<3.0.0dev", extras = ["grpc"]}
google-cloud-bigquery = ">=1.15.0,<4.0.0dev"
google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
google-cloud-storage = ">=1.32.0,<3.0.0dev"
packaging = ">=14.3"
proto-plus = ">=1.22.0,<2.0.0dev"
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
shapely = "<2.0.0"
[package.extras]
autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
datasets = ["pyarrow (>=3.0.0,<8.0dev)"]
endpoint = ["requests (>=2.28.1)"]
full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.76.0)", "google-cloud-bigquery-storage", "google-vizier (==0.0.4)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pyyaml (>=5.3,<6)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
pipelines = ["pyyaml (>=5.3,<6)"]
prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<0.76.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
tensorboard = ["tensorflow (>=2.3.0,<3.0.0dev)"]
testing = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.76.0)", "google-cloud-bigquery-storage", "google-vizier (==0.0.4)", "grpcio-testing", "ipython", "kfp", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3,<6)", "requests (>=2.28.1)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
vizier = ["google-vizier (==0.0.4)"]
xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
[[package]]
name = "google-cloud-bigquery"
version = "3.11.3"
description = "Google BigQuery API client library"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "google-cloud-bigquery-3.11.3.tar.gz", hash = "sha256:d4585be9e76c984ec83ef290ebeff17562d2c9f2f4f84d3015d9b7b27b499a9d"},
{file = "google_cloud_bigquery-3.11.3-py2.py3-none-any.whl", hash = "sha256:266ba1ddd213b2454c1e4a92ae647813b783128078eb48dda4c0b443c5057e29"},
]
[package.dependencies]
google-api-core = {version = ">=1.31.5,<2.0.0 || >2.3.0,<3.0.0dev", extras = ["grpc"]}
google-cloud-core = ">=1.6.0,<3.0.0dev"
google-resumable-media = ">=0.6.0,<3.0dev"
grpcio = ">=1.47.0,<2.0dev"
packaging = ">=20.0.0"
proto-plus = ">=1.15.0,<2.0.0dev"
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
python-dateutil = ">=2.7.2,<3.0dev"
requests = ">=2.21.0,<3.0.0dev"
[package.extras]
all = ["Shapely (>=1.8.4,<2.0dev)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
bqstorage = ["google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "pyarrow (>=3.0.0)"]
geopandas = ["Shapely (>=1.8.4,<2.0dev)", "geopandas (>=0.9.0,<1.0dev)"]
ipython = ["ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)"]
ipywidgets = ["ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)"]
opentelemetry = ["opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)"]
pandas = ["db-dtypes (>=0.3.0,<2.0.0dev)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)"]
tqdm = ["tqdm (>=4.7.4,<5.0.0dev)"]
[[package]]
name = "google-cloud-core"
version = "2.3.2"
description = "Google Cloud API client core library"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "google-cloud-core-2.3.2.tar.gz", hash = "sha256:b9529ee7047fd8d4bf4a2182de619154240df17fbe60ead399078c1ae152af9a"},
{file = "google_cloud_core-2.3.2-py2.py3-none-any.whl", hash = "sha256:8417acf6466be2fa85123441696c4badda48db314c607cf1e5d543fa8bdc22fe"},
]
[package.dependencies]
google-api-core = ">=1.31.6,<2.0.0 || >2.3.0,<3.0.0dev"
google-auth = ">=1.25.0,<3.0dev"
[package.extras]
grpc = ["grpcio (>=1.38.0,<2.0dev)"]
[[package]]
name = "google-cloud-resource-manager"
version = "1.10.1"
description = "Google Cloud Resource Manager API client library"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "google-cloud-resource-manager-1.10.1.tar.gz", hash = "sha256:c974fb6f9810476cf7b63ea89394c1a8df47f7f2dc2303e728bb74b500bcde67"},
{file = "google_cloud_resource_manager-1.10.1-py2.py3-none-any.whl", hash = "sha256:41a2204532f084c707fde0bc1a9bc95c7e0b739d7072dd0b8a25106667a56184"},
]
[package.dependencies]
google-api-core = {version = ">=1.34.0,<2.0.0 || >=2.11.0,<3.0.0dev", extras = ["grpc"]}
grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
proto-plus = ">=1.22.0,<2.0.0dev"
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
[[package]]
name = "google-cloud-storage"
version = "2.10.0"
description = "Google Cloud Storage API client library"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "google-cloud-storage-2.10.0.tar.gz", hash = "sha256:934b31ead5f3994e5360f9ff5750982c5b6b11604dc072bc452c25965e076dc7"},
{file = "google_cloud_storage-2.10.0-py2.py3-none-any.whl", hash = "sha256:9433cf28801671de1c80434238fb1e7e4a1ba3087470e90f70c928ea77c2b9d7"},
]
[package.dependencies]
google-api-core = ">=1.31.5,<2.0.0 || >2.3.0,<3.0.0dev"
google-auth = ">=1.25.0,<3.0dev"
google-cloud-core = ">=2.3.0,<3.0dev"
google-resumable-media = ">=2.3.2"
requests = ">=2.18.0,<3.0.0dev"
[package.extras]
protobuf = ["protobuf (<5.0.0dev)"]
[[package]]
name = "google-crc32c"
version = "1.5.0"
description = "A python wrapper of the C library 'Google CRC32C'"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "google-crc32c-1.5.0.tar.gz", hash = "sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7"},
{file = "google_crc32c-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13"},
{file = "google_crc32c-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346"},
{file = "google_crc32c-1.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65"},
{file = "google_crc32c-1.5.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b"},
{file = "google_crc32c-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02"},
{file = "google_crc32c-1.5.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4"},
{file = "google_crc32c-1.5.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e"},
{file = "google_crc32c-1.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c"},
{file = "google_crc32c-1.5.0-cp310-cp310-win32.whl", hash = "sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee"},
{file = "google_crc32c-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289"},
{file = "google_crc32c-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273"},
{file = "google_crc32c-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298"},
{file = "google_crc32c-1.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57"},
{file = "google_crc32c-1.5.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438"},
{file = "google_crc32c-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906"},
{file = "google_crc32c-1.5.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183"},
{file = "google_crc32c-1.5.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd"},
{file = "google_crc32c-1.5.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c"},
{file = "google_crc32c-1.5.0-cp311-cp311-win32.whl", hash = "sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709"},
{file = "google_crc32c-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968"},
{file = "google_crc32c-1.5.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae"},
{file = "google_crc32c-1.5.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556"},
{file = "google_crc32c-1.5.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f"},
{file = "google_crc32c-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876"},
{file = "google_crc32c-1.5.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc"},
{file = "google_crc32c-1.5.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c"},
{file = "google_crc32c-1.5.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a"},
{file = "google_crc32c-1.5.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e"},
{file = "google_crc32c-1.5.0-cp37-cp37m-win32.whl", hash = "sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94"},
{file = "google_crc32c-1.5.0-cp37-cp37m-win_amd64.whl", hash = "sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740"},
{file = "google_crc32c-1.5.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8"},
{file = "google_crc32c-1.5.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a"},
{file = "google_crc32c-1.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946"},
{file = "google_crc32c-1.5.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a"},
{file = "google_crc32c-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d"},
{file = "google_crc32c-1.5.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a"},
{file = "google_crc32c-1.5.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37"},
{file = "google_crc32c-1.5.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894"},
{file = "google_crc32c-1.5.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a"},
{file = "google_crc32c-1.5.0-cp38-cp38-win32.whl", hash = "sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4"},
{file = "google_crc32c-1.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c"},
{file = "google_crc32c-1.5.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7"},
{file = "google_crc32c-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d"},
{file = "google_crc32c-1.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100"},
{file = "google_crc32c-1.5.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9"},
{file = "google_crc32c-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57"},
{file = "google_crc32c-1.5.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210"},
{file = "google_crc32c-1.5.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd"},
{file = "google_crc32c-1.5.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96"},
{file = "google_crc32c-1.5.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61"},
{file = "google_crc32c-1.5.0-cp39-cp39-win32.whl", hash = "sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c"},
{file = "google_crc32c-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541"},
{file = "google_crc32c-1.5.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325"},
{file = "google_crc32c-1.5.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd"},
{file = "google_crc32c-1.5.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091"},
{file = "google_crc32c-1.5.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178"},
{file = "google_crc32c-1.5.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2"},
{file = "google_crc32c-1.5.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d"},
{file = "google_crc32c-1.5.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2"},
{file = "google_crc32c-1.5.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5"},
{file = "google_crc32c-1.5.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462"},
{file = "google_crc32c-1.5.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314"},
{file = "google_crc32c-1.5.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728"},
{file = "google_crc32c-1.5.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88"},
{file = "google_crc32c-1.5.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb"},
{file = "google_crc32c-1.5.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31"},
{file = "google_crc32c-1.5.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93"},
]
[package.extras]
testing = ["pytest"]
[[package]]
name = "google-resumable-media"
version = "2.5.0"
description = "Utilities for Google Media Downloads and Resumable Uploads"
category = "main"
optional = false
python-versions = ">= 3.7"
files = [
{file = "google-resumable-media-2.5.0.tar.gz", hash = "sha256:218931e8e2b2a73a58eb354a288e03a0fd5fb1c4583261ac6e4c078666468c93"},
{file = "google_resumable_media-2.5.0-py2.py3-none-any.whl", hash = "sha256:da1bd943e2e114a56d85d6848497ebf9be6a14d3db23e9fc57581e7c3e8170ec"},
]
[package.dependencies]
google-crc32c = ">=1.0,<2.0dev"
[package.extras]
aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)"]
requests = ["requests (>=2.18.0,<3.0.0dev)"]
[[package]]
name = "google-search-results"
version = "2.4.2"
@ -1693,6 +1925,7 @@ files = [
]
[package.dependencies]
grpcio = {version = ">=1.44.0,<2.0.0.dev0", optional = true, markers = "extra == \"grpc\""}
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
[package.extras]
@ -1788,6 +2021,23 @@ files = [
docs = ["Sphinx", "docutils (<0.18)"]
test = ["objgraph", "psutil"]
[[package]]
name = "grpc-google-iam-v1"
version = "0.12.6"
description = "IAM API client library"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "grpc-google-iam-v1-0.12.6.tar.gz", hash = "sha256:2bc4b8fdf22115a65d751c9317329322602c39b7c86a289c9b72d228d960ef5f"},
{file = "grpc_google_iam_v1-0.12.6-py2.py3-none-any.whl", hash = "sha256:5c10f3d8dc2d88678ab1a9b0cb5482735c5efee71e6c0cd59f872eef22913f5c"},
]
[package.dependencies]
googleapis-common-protos = {version = ">=1.56.0,<2.0.0dev", extras = ["grpc"]}
grpcio = ">=1.44.0,<2.0.0dev"
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
[[package]]
name = "grpcio"
version = "1.47.5"
@ -1882,6 +2132,23 @@ files = [
grpcio = ">=1.47.5"
protobuf = ">=3.12.0"
[[package]]
name = "grpcio-status"
version = "1.47.5"
description = "Status proto mapping for gRPC"
category = "main"
optional = false
python-versions = ">=3.6"
files = [
{file = "grpcio-status-1.47.5.tar.gz", hash = "sha256:671bb4c0819697a699c12a8785a78d6847eafb6a83b2437bbae13989b04e5c25"},
{file = "grpcio_status-1.47.5-py3-none-any.whl", hash = "sha256:24549a84fa37ca5de1e0f6be96b4c2c3623b1e2b7359aa16b3de5aa0563795f1"},
]
[package.dependencies]
googleapis-common-protos = ">=1.5.5"
grpcio = ">=1.47.5"
protobuf = ">=3.12.0"
[[package]]
name = "grpcio-tools"
version = "1.47.5"
@ -2705,13 +2972,13 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-serve"
version = "0.0.48"
version = "0.0.49"
description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
category = "main"
optional = true
python-versions = "*"
files = [
{file = "langchain-serve-0.0.48.tar.gz", hash = "sha256:4644eb7a6aa733edcd809a0becf49a2899c285a5adb0bab454f91bbb8e0be39b"},
{file = "langchain-serve-0.0.49.tar.gz", hash = "sha256:5dc30276e709e59838c28508228ad2185e264c8877ea70194fa5d2acd44e966d"},
]
[package.dependencies]
@ -4002,7 +4269,6 @@ files = [
numpy = [
{version = ">=1.20.3", markers = "python_version < \"3.10\""},
{version = ">=1.21.0", markers = "python_version >= \"3.10\""},
{version = ">=1.23.2", markers = "python_version >= \"3.11\""},
]
python-dateutil = ">=2.8.2"
pytz = ">=2020.1"
@ -4383,6 +4649,24 @@ files = [
[package.dependencies]
wcwidth = "*"
[[package]]
name = "proto-plus"
version = "1.22.3"
description = "Beautiful, Pythonic protocol buffers."
category = "main"
optional = false
python-versions = ">=3.6"
files = [
{file = "proto-plus-1.22.3.tar.gz", hash = "sha256:fdcd09713cbd42480740d2fe29c990f7fbd885a67efc328aa8be6ee3e9f76a6b"},
{file = "proto_plus-1.22.3-py3-none-any.whl", hash = "sha256:a49cd903bc0b6ab41f76bf65510439d56ca76f868adf0274e738bfdd096894df"},
]
[package.dependencies]
protobuf = ">=3.19.0,<5.0.0dev"
[package.extras]
testing = ["google-api-core[grpc] (>=1.31.5)"]
[[package]]
name = "protobuf"
version = "3.20.3"
@ -4756,48 +5040,48 @@ files = [
[[package]]
name = "pydantic"
version = "1.10.9"
version = "1.10.10"
description = "Data validation and settings management using python type hints"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "pydantic-1.10.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e692dec4a40bfb40ca530e07805b1208c1de071a18d26af4a2a0d79015b352ca"},
{file = "pydantic-1.10.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3c52eb595db83e189419bf337b59154bdcca642ee4b2a09e5d7797e41ace783f"},
{file = "pydantic-1.10.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:939328fd539b8d0edf244327398a667b6b140afd3bf7e347cf9813c736211896"},
{file = "pydantic-1.10.9-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b48d3d634bca23b172f47f2335c617d3fcb4b3ba18481c96b7943a4c634f5c8d"},
{file = "pydantic-1.10.9-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:f0b7628fb8efe60fe66fd4adadd7ad2304014770cdc1f4934db41fe46cc8825f"},
{file = "pydantic-1.10.9-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e1aa5c2410769ca28aa9a7841b80d9d9a1c5f223928ca8bec7e7c9a34d26b1d4"},
{file = "pydantic-1.10.9-cp310-cp310-win_amd64.whl", hash = "sha256:eec39224b2b2e861259d6f3c8b6290d4e0fbdce147adb797484a42278a1a486f"},
{file = "pydantic-1.10.9-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d111a21bbbfd85c17248130deac02bbd9b5e20b303338e0dbe0faa78330e37e0"},
{file = "pydantic-1.10.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2e9aec8627a1a6823fc62fb96480abe3eb10168fd0d859ee3d3b395105ae19a7"},
{file = "pydantic-1.10.9-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07293ab08e7b4d3c9d7de4949a0ea571f11e4557d19ea24dd3ae0c524c0c334d"},
{file = "pydantic-1.10.9-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7ee829b86ce984261d99ff2fd6e88f2230068d96c2a582f29583ed602ef3fc2c"},
{file = "pydantic-1.10.9-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4b466a23009ff5cdd7076eb56aca537c745ca491293cc38e72bf1e0e00de5b91"},
{file = "pydantic-1.10.9-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7847ca62e581e6088d9000f3c497267868ca2fa89432714e21a4fb33a04d52e8"},
{file = "pydantic-1.10.9-cp311-cp311-win_amd64.whl", hash = "sha256:7845b31959468bc5b78d7b95ec52fe5be32b55d0d09983a877cca6aedc51068f"},
{file = "pydantic-1.10.9-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:517a681919bf880ce1dac7e5bc0c3af1e58ba118fd774da2ffcd93c5f96eaece"},
{file = "pydantic-1.10.9-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67195274fd27780f15c4c372f4ba9a5c02dad6d50647b917b6a92bf00b3d301a"},
{file = "pydantic-1.10.9-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2196c06484da2b3fded1ab6dbe182bdabeb09f6318b7fdc412609ee2b564c49a"},
{file = "pydantic-1.10.9-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:6257bb45ad78abacda13f15bde5886efd6bf549dd71085e64b8dcf9919c38b60"},
{file = "pydantic-1.10.9-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:3283b574b01e8dbc982080d8287c968489d25329a463b29a90d4157de4f2baaf"},
{file = "pydantic-1.10.9-cp37-cp37m-win_amd64.whl", hash = "sha256:5f8bbaf4013b9a50e8100333cc4e3fa2f81214033e05ac5aa44fa24a98670a29"},
{file = "pydantic-1.10.9-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b9cd67fb763248cbe38f0593cd8611bfe4b8ad82acb3bdf2b0898c23415a1f82"},
{file = "pydantic-1.10.9-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f50e1764ce9353be67267e7fd0da08349397c7db17a562ad036aa7c8f4adfdb6"},
{file = "pydantic-1.10.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:73ef93e5e1d3c8e83f1ff2e7fdd026d9e063c7e089394869a6e2985696693766"},
{file = "pydantic-1.10.9-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:128d9453d92e6e81e881dd7e2484e08d8b164da5507f62d06ceecf84bf2e21d3"},
{file = "pydantic-1.10.9-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:ad428e92ab68798d9326bb3e5515bc927444a3d71a93b4a2ca02a8a5d795c572"},
{file = "pydantic-1.10.9-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:fab81a92f42d6d525dd47ced310b0c3e10c416bbfae5d59523e63ea22f82b31e"},
{file = "pydantic-1.10.9-cp38-cp38-win_amd64.whl", hash = "sha256:963671eda0b6ba6926d8fc759e3e10335e1dc1b71ff2a43ed2efd6996634dafb"},
{file = "pydantic-1.10.9-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:970b1bdc6243ef663ba5c7e36ac9ab1f2bfecb8ad297c9824b542d41a750b298"},
{file = "pydantic-1.10.9-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7e1d5290044f620f80cf1c969c542a5468f3656de47b41aa78100c5baa2b8276"},
{file = "pydantic-1.10.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:83fcff3c7df7adff880622a98022626f4f6dbce6639a88a15a3ce0f96466cb60"},
{file = "pydantic-1.10.9-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0da48717dc9495d3a8f215e0d012599db6b8092db02acac5e0d58a65248ec5bc"},
{file = "pydantic-1.10.9-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:0a2aabdc73c2a5960e87c3ffebca6ccde88665616d1fd6d3db3178ef427b267a"},
{file = "pydantic-1.10.9-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:9863b9420d99dfa9c064042304868e8ba08e89081428a1c471858aa2af6f57c4"},
{file = "pydantic-1.10.9-cp39-cp39-win_amd64.whl", hash = "sha256:e7c9900b43ac14110efa977be3da28931ffc74c27e96ee89fbcaaf0b0fe338e1"},
{file = "pydantic-1.10.9-py3-none-any.whl", hash = "sha256:6cafde02f6699ce4ff643417d1a9223716ec25e228ddc3b436fe7e2d25a1f305"},
{file = "pydantic-1.10.9.tar.gz", hash = "sha256:95c70da2cd3b6ddf3b9645ecaa8d98f3d80c606624b6d245558d202cd23ea3be"},
{file = "pydantic-1.10.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:adad1ee4ab9888f12dac2529276704e719efcf472e38df7813f5284db699b4ec"},
{file = "pydantic-1.10.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7a7db03339893feef2092ff7b1afc9497beed15ebd4af84c3042a74abce02d48"},
{file = "pydantic-1.10.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67b3714b97ff84b2689654851c2426389bcabfac9080617bcf4306c69db606f6"},
{file = "pydantic-1.10.10-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:edfdf0a5abc5c9bf2052ebaec20e67abd52e92d257e4f2d30e02c354ed3e6030"},
{file = "pydantic-1.10.10-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:20a3b30fd255eeeb63caa9483502ba96b7795ce5bf895c6a179b3d909d9f53a6"},
{file = "pydantic-1.10.10-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:db4c7f7e60ca6f7d6c1785070f3e5771fcb9b2d88546e334d2f2c3934d949028"},
{file = "pydantic-1.10.10-cp310-cp310-win_amd64.whl", hash = "sha256:a2d5be50ac4a0976817144c7d653e34df2f9436d15555189f5b6f61161d64183"},
{file = "pydantic-1.10.10-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:566a04ba755e8f701b074ffb134ddb4d429f75d5dced3fbd829a527aafe74c71"},
{file = "pydantic-1.10.10-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f79db3652ed743309f116ba863dae0c974a41b688242482638b892246b7db21d"},
{file = "pydantic-1.10.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c62376890b819bebe3c717a9ac841a532988372b7e600e76f75c9f7c128219d5"},
{file = "pydantic-1.10.10-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4870f13a4fafd5bc3e93cff3169222534fad867918b188e83ee0496452978437"},
{file = "pydantic-1.10.10-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:990027e77cda6072a566e433b6962ca3b96b4f3ae8bd54748e9d62a58284d9d7"},
{file = "pydantic-1.10.10-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8c40964596809eb616d94f9c7944511f620a1103d63d5510440ed2908fc410af"},
{file = "pydantic-1.10.10-cp311-cp311-win_amd64.whl", hash = "sha256:ea9eebc2ebcba3717e77cdeee3f6203ffc0e78db5f7482c68b1293e8cc156e5e"},
{file = "pydantic-1.10.10-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:762aa598f79b4cac2f275d13336b2dd8662febee2a9c450a49a2ab3bec4b385f"},
{file = "pydantic-1.10.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6dab5219659f95e357d98d70577b361383057fb4414cfdb587014a5f5c595f7b"},
{file = "pydantic-1.10.10-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3d4ee957a727ccb5a36f1b0a6dbd9fad5dedd2a41eada99a8df55c12896e18d"},
{file = "pydantic-1.10.10-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:b69f9138dec566962ec65623c9d57bee44412d2fc71065a5f3ebb3820bdeee96"},
{file = "pydantic-1.10.10-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:7aa75d1bd9cc275cf9782f50f60cddaf74cbaae19b6ada2a28e737edac420312"},
{file = "pydantic-1.10.10-cp37-cp37m-win_amd64.whl", hash = "sha256:9f62a727f5c590c78c2d12fda302d1895141b767c6488fe623098f8792255fe5"},
{file = "pydantic-1.10.10-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:aac218feb4af73db8417ca7518fb3bade4534fcca6e3fb00f84966811dd94450"},
{file = "pydantic-1.10.10-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:88546dc10a40b5b52cae87d64666787aeb2878f9a9b37825aedc2f362e7ae1da"},
{file = "pydantic-1.10.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c41bbaae89e32fc582448e71974de738c055aef5ab474fb25692981a08df808a"},
{file = "pydantic-1.10.10-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2b71bd504d1573b0b722ae536e8ffb796bedeef978979d076bf206e77dcc55a5"},
{file = "pydantic-1.10.10-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:e088e3865a2270ecbc369924cd7d9fbc565667d9158e7f304e4097ebb9cf98dd"},
{file = "pydantic-1.10.10-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:3403a090db45d4027d2344859d86eb797484dfda0706cf87af79ace6a35274ef"},
{file = "pydantic-1.10.10-cp38-cp38-win_amd64.whl", hash = "sha256:e0014e29637125f4997c174dd6167407162d7af0da73414a9340461ea8573252"},
{file = "pydantic-1.10.10-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9965e49c6905840e526e5429b09e4c154355b6ecc0a2f05492eda2928190311d"},
{file = "pydantic-1.10.10-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:748d10ab6089c5d196e1c8be9de48274f71457b01e59736f7a09c9dc34f51887"},
{file = "pydantic-1.10.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:86936c383f7c38fd26d35107eb669c85d8f46dfceae873264d9bab46fe1c7dde"},
{file = "pydantic-1.10.10-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7a26841be620309a9697f5b1ffc47dce74909e350c5315ccdac7a853484d468a"},
{file = "pydantic-1.10.10-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:409b810f387610cc7405ab2fa6f62bdf7ea485311845a242ebc0bd0496e7e5ac"},
{file = "pydantic-1.10.10-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ce937a2a2c020bcad1c9fde02892392a1123de6dda906ddba62bfe8f3e5989a2"},
{file = "pydantic-1.10.10-cp39-cp39-win_amd64.whl", hash = "sha256:37ebddef68370e6f26243acc94de56d291e01227a67b2ace26ea3543cf53dd5f"},
{file = "pydantic-1.10.10-py3-none-any.whl", hash = "sha256:a5939ec826f7faec434e2d406ff5e4eaf1716eb1f247d68cd3d0b3612f7b4c8a"},
{file = "pydantic-1.10.10.tar.gz", hash = "sha256:3b8d5bd97886f9eb59260594207c9f57dce14a6f869c6ceea90188715d29921a"},
]
[package.dependencies]
@ -5719,46 +6003,46 @@ torch = ["torch (>=1.10)"]
[[package]]
name = "scikit-learn"
version = "1.2.2"
version = "1.3.0"
description = "A set of python modules for machine learning and data mining"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
{file = "scikit-learn-1.2.2.tar.gz", hash = "sha256:8429aea30ec24e7a8c7ed8a3fa6213adf3814a6efbea09e16e0a0c71e1a1a3d7"},
{file = "scikit_learn-1.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99cc01184e347de485bf253d19fcb3b1a3fb0ee4cea5ee3c43ec0cc429b6d29f"},
{file = "scikit_learn-1.2.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e6e574db9914afcb4e11ade84fab084536a895ca60aadea3041e85b8ac963edb"},
{file = "scikit_learn-1.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fe83b676f407f00afa388dd1fdd49e5c6612e551ed84f3b1b182858f09e987d"},
{file = "scikit_learn-1.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e2642baa0ad1e8f8188917423dd73994bf25429f8893ddbe115be3ca3183584"},
{file = "scikit_learn-1.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ad66c3848c0a1ec13464b2a95d0a484fd5b02ce74268eaa7e0c697b904f31d6c"},
{file = "scikit_learn-1.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:dfeaf8be72117eb61a164ea6fc8afb6dfe08c6f90365bde2dc16456e4bc8e45f"},
{file = "scikit_learn-1.2.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:fe0aa1a7029ed3e1dcbf4a5bc675aa3b1bc468d9012ecf6c6f081251ca47f590"},
{file = "scikit_learn-1.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:065e9673e24e0dc5113e2dd2b4ca30c9d8aa2fa90f4c0597241c93b63130d233"},
{file = "scikit_learn-1.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf036ea7ef66115e0d49655f16febfa547886deba20149555a41d28f56fd6d3c"},
{file = "scikit_learn-1.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:8b0670d4224a3c2d596fd572fb4fa673b2a0ccfb07152688ebd2ea0b8c61025c"},
{file = "scikit_learn-1.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9c710ff9f9936ba8a3b74a455ccf0dcf59b230caa1e9ba0223773c490cab1e51"},
{file = "scikit_learn-1.2.2-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:2dd3ffd3950e3d6c0c0ef9033a9b9b32d910c61bd06cb8206303fb4514b88a49"},
{file = "scikit_learn-1.2.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:44b47a305190c28dd8dd73fc9445f802b6ea716669cfc22ab1eb97b335d238b1"},
{file = "scikit_learn-1.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:953236889928d104c2ef14027539f5f2609a47ebf716b8cbe4437e85dce42744"},
{file = "scikit_learn-1.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:7f69313884e8eb311460cc2f28676d5e400bd929841a2c8eb8742ae78ebf7c20"},
{file = "scikit_learn-1.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8156db41e1c39c69aa2d8599ab7577af53e9e5e7a57b0504e116cc73c39138dd"},
{file = "scikit_learn-1.2.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:fe175ee1dab589d2e1033657c5b6bec92a8a3b69103e3dd361b58014729975c3"},
{file = "scikit_learn-1.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7d5312d9674bed14f73773d2acf15a3272639b981e60b72c9b190a0cffed5bad"},
{file = "scikit_learn-1.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea061bf0283bf9a9f36ea3c5d3231ba2176221bbd430abd2603b1c3b2ed85c89"},
{file = "scikit_learn-1.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:6477eed40dbce190f9f9e9d0d37e020815825b300121307942ec2110302b66a3"},
{file = "scikit-learn-1.3.0.tar.gz", hash = "sha256:8be549886f5eda46436b6e555b0e4873b4f10aa21c07df45c4bc1735afbccd7a"},
{file = "scikit_learn-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:981287869e576d42c682cf7ca96af0c6ac544ed9316328fd0d9292795c742cf5"},
{file = "scikit_learn-1.3.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:436aaaae2c916ad16631142488e4c82f4296af2404f480e031d866863425d2a2"},
{file = "scikit_learn-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c7e28d8fa47a0b30ae1bd7a079519dd852764e31708a7804da6cb6f8b36e3630"},
{file = "scikit_learn-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ae80c08834a473d08a204d966982a62e11c976228d306a2648c575e3ead12111"},
{file = "scikit_learn-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:552fd1b6ee22900cf1780d7386a554bb96949e9a359999177cf30211e6b20df6"},
{file = "scikit_learn-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:79970a6d759eb00a62266a31e2637d07d2d28446fca8079cf9afa7c07b0427f8"},
{file = "scikit_learn-1.3.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:850a00b559e636b23901aabbe79b73dc604b4e4248ba9e2d6e72f95063765603"},
{file = "scikit_learn-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ee04835fb016e8062ee9fe9074aef9b82e430504e420bff51e3e5fffe72750ca"},
{file = "scikit_learn-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d953531f5d9f00c90c34fa3b7d7cfb43ecff4c605dac9e4255a20b114a27369"},
{file = "scikit_learn-1.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:151ac2bf65ccf363664a689b8beafc9e6aae36263db114b4ca06fbbbf827444a"},
{file = "scikit_learn-1.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6a885a9edc9c0a341cab27ec4f8a6c58b35f3d449c9d2503a6fd23e06bbd4f6a"},
{file = "scikit_learn-1.3.0-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:9877af9c6d1b15486e18a94101b742e9d0d2f343d35a634e337411ddb57783f3"},
{file = "scikit_learn-1.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c470f53cea065ff3d588050955c492793bb50c19a92923490d18fcb637f6383a"},
{file = "scikit_learn-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd6e2d7389542eae01077a1ee0318c4fec20c66c957f45c7aac0c6eb0fe3c612"},
{file = "scikit_learn-1.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:3a11936adbc379a6061ea32fa03338d4ca7248d86dd507c81e13af428a5bc1db"},
{file = "scikit_learn-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:998d38fcec96584deee1e79cd127469b3ad6fefd1ea6c2dfc54e8db367eb396b"},
{file = "scikit_learn-1.3.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:ded35e810438a527e17623ac6deae3b360134345b7c598175ab7741720d7ffa7"},
{file = "scikit_learn-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e8102d5036e28d08ab47166b48c8d5e5810704daecf3a476a4282d562be9a28"},
{file = "scikit_learn-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7617164951c422747e7c32be4afa15d75ad8044f42e7d70d3e2e0429a50e6718"},
{file = "scikit_learn-1.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:1d54fb9e6038284548072df22fd34777e434153f7ffac72c8596f2d6987110dd"},
]
[package.dependencies]
joblib = ">=1.1.1"
numpy = ">=1.17.3"
scipy = ">=1.3.2"
scipy = ">=1.5.0"
threadpoolctl = ">=2.0.0"
[package.extras]
benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=5.3.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"]
docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.10.1)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.16.2)"]
[[package]]
name = "scipy"
@ -5920,6 +6204,63 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-g
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
[[package]]
name = "shapely"
version = "1.8.5.post1"
description = "Geometric objects, predicates, and operations"
category = "main"
optional = false
python-versions = ">=3.6"
files = [
{file = "Shapely-1.8.5.post1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d048f93e42ba578b82758c15d8ae037d08e69d91d9872bca5a1895b118f4e2b0"},
{file = "Shapely-1.8.5.post1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99ab0ddc05e44acabdbe657c599fdb9b2d82e86c5493bdae216c0c4018a82dee"},
{file = "Shapely-1.8.5.post1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:99a2f0da0109e81e0c101a2b4cd8412f73f5f299e7b5b2deaf64cd2a100ac118"},
{file = "Shapely-1.8.5.post1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6fe855e7d45685926b6ba00aaeb5eba5862611f7465775dacd527e081a8ced6d"},
{file = "Shapely-1.8.5.post1-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ec14ceca36f67cb48b34d02d7f65a9acae15cd72b48e303531893ba4a960f3ea"},
{file = "Shapely-1.8.5.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8a2b2a65fa7f97115c1cd989fe9d6f39281ca2a8a014f1d4904c1a6e34d7f25"},
{file = "Shapely-1.8.5.post1-cp310-cp310-win32.whl", hash = "sha256:21776184516a16bf82a0c3d6d6a312b3cd15a4cabafc61ee01cf2714a82e8396"},
{file = "Shapely-1.8.5.post1-cp310-cp310-win_amd64.whl", hash = "sha256:a354199219c8d836f280b88f2c5102c81bb044ccea45bd361dc38a79f3873714"},
{file = "Shapely-1.8.5.post1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:783bad5f48e2708a0e2f695a34ed382e4162c795cb2f0368b39528ac1d6db7ed"},
{file = "Shapely-1.8.5.post1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a23ef3882d6aa203dd3623a3d55d698f59bfbd9f8a3bfed52c2da05a7f0f8640"},
{file = "Shapely-1.8.5.post1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ab38f7b5196ace05725e407cb8cab9ff66edb8e6f7bb36a398e8f73f52a7aaa2"},
{file = "Shapely-1.8.5.post1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8d086591f744be483b34628b391d741e46f2645fe37594319e0a673cc2c26bcf"},
{file = "Shapely-1.8.5.post1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4728666fff8cccc65a07448cae72c75a8773fea061c3f4f139c44adc429b18c3"},
{file = "Shapely-1.8.5.post1-cp311-cp311-win32.whl", hash = "sha256:84010db15eb364a52b74ea8804ef92a6a930dfc1981d17a369444b6ddec66efd"},
{file = "Shapely-1.8.5.post1-cp311-cp311-win_amd64.whl", hash = "sha256:48dcfffb9e225c0481120f4bdf622131c8c95f342b00b158cdbe220edbbe20b6"},
{file = "Shapely-1.8.5.post1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:2fd15397638df291c427a53d641d3e6fd60458128029c8c4f487190473a69a91"},
{file = "Shapely-1.8.5.post1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:a74631e511153366c6dbe3229fa93f877e3c87ea8369cd00f1d38c76b0ed9ace"},
{file = "Shapely-1.8.5.post1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:66bdac74fbd1d3458fa787191a90fa0ae610f09e2a5ec398c36f968cc0ed743f"},
{file = "Shapely-1.8.5.post1-cp36-cp36m-win32.whl", hash = "sha256:6d388c0c1bd878ed1af4583695690aa52234b02ed35f93a1c8486ff52a555838"},
{file = "Shapely-1.8.5.post1-cp36-cp36m-win_amd64.whl", hash = "sha256:be9423d5a3577ac2e92c7e758bd8a2b205f5e51a012177a590bc46fc51eb4834"},
{file = "Shapely-1.8.5.post1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:5d7f85c2d35d39ff53c9216bc76b7641c52326f7e09aaad1789a3611a0f812f2"},
{file = "Shapely-1.8.5.post1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:adcf8a11b98af9375e32bff91de184f33a68dc48b9cb9becad4f132fa25cfa3c"},
{file = "Shapely-1.8.5.post1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:753ed0e21ab108bd4282405b9b659f2e985e8502b1a72b978eaa51d3496dee19"},
{file = "Shapely-1.8.5.post1-cp37-cp37m-win32.whl", hash = "sha256:65b21243d8f6bcd421210daf1fabb9de84de2c04353c5b026173b88d17c1a581"},
{file = "Shapely-1.8.5.post1-cp37-cp37m-win_amd64.whl", hash = "sha256:370b574c78dc5af3a198a6da5d9b3d7c04654bd2ef7e80e80a3a0992dfb2d9cd"},
{file = "Shapely-1.8.5.post1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:532a55ee2a6c52d23d6f7d1567c8f0473635f3b270262c44e1b0c88096827e22"},
{file = "Shapely-1.8.5.post1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:3480657460e939f45a7d359ef0e172a081f249312557fe9aa78c4fd3a362d993"},
{file = "Shapely-1.8.5.post1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b65f5d530ba91e49ffc7c589255e878d2506a8b96ffce69d3b7c4500a9a9eaf8"},
{file = "Shapely-1.8.5.post1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:147066da0be41b147a61f8eb805dea3b13709dbc873a431ccd7306e24d712bc0"},
{file = "Shapely-1.8.5.post1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:c2822111ddc5bcfb116e6c663e403579d0fe3f147d2a97426011a191c43a7458"},
{file = "Shapely-1.8.5.post1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b47bb6f9369e8bf3e6dbd33e6a25a47ee02b2874792a529fe04a49bf8bc0df6"},
{file = "Shapely-1.8.5.post1-cp38-cp38-win32.whl", hash = "sha256:2e0a8c2e55f1be1312b51c92b06462ea89e6bb703fab4b114e7a846d941cfc40"},
{file = "Shapely-1.8.5.post1-cp38-cp38-win_amd64.whl", hash = "sha256:0d885cb0cf670c1c834df3f371de8726efdf711f18e2a75da5cfa82843a7ab65"},
{file = "Shapely-1.8.5.post1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:0b4ee3132ee90f07d63db3aea316c4c065ed7a26231458dda0874414a09d6ba3"},
{file = "Shapely-1.8.5.post1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:02dd5d7dc6e46515d88874134dc8fcdc65826bca93c3eecee59d1910c42c1b17"},
{file = "Shapely-1.8.5.post1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c6a9a4a31cd6e86d0fbe8473ceed83d4fe760b19d949fb557ef668defafea0f6"},
{file = "Shapely-1.8.5.post1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:38f0fbbcb8ca20c16451c966c1f527cc43968e121c8a048af19ed3e339a921cd"},
{file = "Shapely-1.8.5.post1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:78fb9d929b8ee15cfd424b6c10879ce1907f24e05fb83310fc47d2cd27088e40"},
{file = "Shapely-1.8.5.post1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89164e7a9776a19e29f01369a98529321994e2e4d852b92b7e01d4d9804c55bf"},
{file = "Shapely-1.8.5.post1-cp39-cp39-win32.whl", hash = "sha256:8e59817b0fe63d34baedaabba8c393c0090f061917d18fc0bcc2f621937a8f73"},
{file = "Shapely-1.8.5.post1-cp39-cp39-win_amd64.whl", hash = "sha256:e9c30b311de2513555ab02464ebb76115d242842b29c412f5a9aa0cac57be9f6"},
{file = "Shapely-1.8.5.post1.tar.gz", hash = "sha256:ef3be705c3eac282a28058e6c6e5503419b250f482320df2172abcbea642c831"},
]
[package.extras]
all = ["numpy", "pytest", "pytest-cov"]
test = ["pytest", "pytest-cov"]
vectorized = ["numpy"]
[[package]]
name = "six"
version = "1.16.0"
@ -6834,14 +7175,14 @@ test = ["coverage", "pytest", "pytest-cov"]
[[package]]
name = "unstructured"
version = "0.7.10"
version = "0.7.11"
description = "A library that prepares raw documents for downstream ML tasks."
category = "main"
optional = false
python-versions = ">=3.7.0"
files = [
{file = "unstructured-0.7.10-py3-none-any.whl", hash = "sha256:d36ae0b59bcf95751b4304a6f44864ec3187f584cf80ee66a68e99537e0e4a0d"},
{file = "unstructured-0.7.10.tar.gz", hash = "sha256:93d65dd746151703c6873d69156d2a4bc9f9f1507044cdd617b1645373528d74"},
{file = "unstructured-0.7.11-py3-none-any.whl", hash = "sha256:1974828f7e8b5e0935c52b468bd5879a962122ed41433db9d36ec1ccbb3b9f78"},
{file = "unstructured-0.7.11.tar.gz", hash = "sha256:0cd7119f2b3a5d60fa4df50c0cd8b24c9c5fbdc1baa4daf0a6d8daf05d616a2b"},
]
[package.dependencies]
@ -6873,7 +7214,7 @@ github = ["pygithub (==1.58.2)"]
gitlab = ["python-gitlab"]
google-drive = ["google-api-python-client"]
huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
local-inference = ["unstructured-inference (==0.5.1)"]
local-inference = ["unstructured-inference (==0.5.4)"]
reddit = ["praw"]
s3 = ["fsspec", "s3fs"]
slack = ["slack-sdk"]
@ -7499,5 +7840,5 @@ deploy = ["langchain-serve"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.12"
content-hash = "3875f61e1228dfac1574076a6c3755703463fa6ed1fe737d064a171be94259d4"
python-versions = ">=3.9,<3.11"
content-hash = "3b615d7e85c445b293174b2cb1d395e375edce224c0da51e03c3767c4892e662"

3
pyproject.toml
View file

@ -22,7 +22,7 @@ include = ["src/backend/langflow/*", "src/backend/langflow/**/*"]
langflow = "langflow.__main__:main"
[tool.poetry.dependencies]
python = ">=3.9,<3.12"
python = ">=3.9,<3.11"
fastapi = "^0.98.0"
uvicorn = "^0.22.0"
beautifulsoup4 = "^4.12.2"
@ -69,6 +69,7 @@ pinecone-client = "^2.2.2"
supabase = "^1.0.3"
pymongo = "^4.4.0"
certifi = "^2023.5.7"
google-cloud-aiplatform = "^1.26.1"
psycopg = "^3.1.9"
psycopg-binary = "^3.1.9"

5
src/backend/langflow/api/v1/chat.py
View file

@ -19,8 +19,11 @@ async def chat(client_id: str, websocket: WebSocket):
if client_id in chat_manager.in_memory_cache:
await chat_manager.handle_websocket(client_id, websocket)
else:
# We accept the connection but close it immediately
# if the flow is not built yet
await websocket.accept()
message = "Please, build the flow before sending messages"
await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason=message)
await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=message)
except WebSocketException as exc:
logger.error(exc)
await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=str(exc))

9
src/backend/langflow/config.yaml
View file

@ -119,6 +119,15 @@ llms:
documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic"
HuggingFaceHub:
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub"
VertexAI:
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/google_vertex_ai_palm"
###
# There's a bug in this component deactivating until we get it sorted: _language_models.py", line 804, in send_message
# is_blocked=safety_attributes.get("blocked", False),
# AttributeError: 'list' object has no attribute 'get'
# ChatVertexAI:
# documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm"
###
memories:
# https://github.com/supabase-community/supabase-py/issues/482
# ZepChatMessageHistory:

7
src/backend/langflow/graph/edge/base.py
View file

@ -27,12 +27,7 @@ class Edge:
# Get what type of input the target node is expecting
self.matched_type = next(
(
output
for output in self.source_types
for target_req in self.target_reqs
if output in target_req
),
(output for output in self.source_types if output in self.target_reqs),
None,
)
no_matched_type = self.matched_type is None

9
src/backend/langflow/interface/custom_lists.py
View file

@ -10,8 +10,12 @@ from langchain import (
text_splitter,
)
from langchain.agents import agent_toolkits
from langchain.chat_models import AzureChatOpenAI, ChatOpenAI
from langchain.chat_models import ChatAnthropic
from langchain.chat_models import (
AzureChatOpenAI,
ChatOpenAI,
ChatVertexAI,
ChatAnthropic,
)
from langflow.interface.importing.utils import import_class
from langflow.interface.agents.custom import CUSTOM_AGENTS
@ -22,6 +26,7 @@ llm_type_to_cls_dict = llms.type_to_cls_dict
llm_type_to_cls_dict["anthropic-chat"] = ChatAnthropic # type: ignore
llm_type_to_cls_dict["azure-chat"] = AzureChatOpenAI # type: ignore
llm_type_to_cls_dict["openai-chat"] = ChatOpenAI # type: ignore
llm_type_to_cls_dict["vertexai-chat"] = ChatVertexAI # type: ignore
# Toolkits

9
src/backend/langflow/interface/initialize/llm.py Normal file
View file

@ -0,0 +1,9 @@
def initialize_vertexai(class_object, params):
if credentials_path := params.get("credentials"):
from google.oauth2 import service_account # type: ignore
credentials_object = service_account.Credentials.from_service_account_file(
filename=credentials_path
)
params["credentials"] = credentials_object
return class_object(**params)

14
src/backend/langflow/interface/initialize/loading.py
View file

@ -6,6 +6,7 @@ from langchain.agents import agent as agent_module
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.agents.tools import BaseTool
from langflow.interface.initialize.llm import initialize_vertexai
from langflow.interface.initialize.vector_store import vecstore_initializer
@ -88,6 +89,15 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
return class_object(**params)
def instantiate_llm(node_type, class_object, params: Dict):
# This is a workaround so JinaChat works until streaming is implemented
# if "openai_api_base" in params and "jina" in params["openai_api_base"]:
# False if condition is True
if node_type == "VertexAI":
return initialize_vertexai(class_object=class_object, params=params)
return class_object(**params)
def instantiate_memory(node_type, class_object, params):
try:
return class_object(**params)
@ -117,10 +127,6 @@ def instantiate_retriever(node_type, class_object, params):
return class_object(**params)
def instantiate_llm(node_type, class_object, params: Dict):
return class_object(**params)
def instantiate_chains(node_type, class_object: Type[Chain], params: Dict):
if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
params["retriever"] = params["retriever"].as_retriever()

56
src/backend/langflow/template/frontend_node/llms.py
View file

@ -8,6 +8,49 @@ from langflow.template.frontend_node.constants import OPENAI_API_BASE_INFO
class LLMFrontendNode(FrontendNode):
def add_extra_fields(self) -> None:
if "VertexAI" in self.template.type_name:
# Add credentials field which should of type file.
self.template.add_field(
TemplateField(
field_type="file",
required=False,
show=True,
name="credentials",
value="",
suffixes=[".json"],
fileTypes=["json"],
)
)
@staticmethod
def format_vertex_field(field: TemplateField, name: str):
if "VertexAI" in name:
advanced_fields = [
"tuned_model_name",
"verbose",
"top_p",
"top_k",
"max_output_tokens",
]
if field.name in advanced_fields:
field.advanced = True
show_fields = [
"tuned_model_name",
"verbose",
"project",
"location",
"credentials",
"max_output_tokens",
"model_name",
"temperature",
"top_p",
"top_k",
]
if field.name in show_fields:
field.show = True
@staticmethod
def format_openai_field(field: TemplateField):
if "openai" in field.name.lower():
@ -60,6 +103,8 @@ class LLMFrontendNode(FrontendNode):
LLMFrontendNode.format_azure_field(field)
if name and "llama" in name.lower():
LLMFrontendNode.format_llama_field(field)
if name and "vertex" in name.lower():
LLMFrontendNode.format_vertex_field(field, name)
SHOW_FIELDS = ["repo_id"]
if field.name in SHOW_FIELDS:
field.show = True
@ -95,6 +140,17 @@ class LLMFrontendNode(FrontendNode):
"model_file",
"model_type",
"deployment_name",
"credentials",
]:
field.advanced = False
field.show = True
if field.name == "credentials":
field.field_type = "file"
if name == "VertexAI" and field.name not in [
"callbacks",
"client",
"stop",
"tags",
"cache",
]:
field.show = True

11
src/frontend/src/App.tsx
View file

@ -51,6 +51,9 @@ export default function App() {
useEffect(() => {
// If there is an error alert open with data, add it to the alertsList
if (errorOpen && errorData) {
if(alertsList.length > 0 && JSON.stringify(alertsList[alertsList.length - 1].data)===JSON.stringify(errorData)){
return;
}
setErrorOpen(false);
setAlertsList((old) => {
let newAlertsList = [
@ -62,6 +65,9 @@ export default function App() {
}
// If there is a notice alert open with data, add it to the alertsList
else if (noticeOpen && noticeData) {
if(alertsList.length > 0 && JSON.stringify(alertsList[alertsList.length - 1].data)===JSON.stringify(noticeData)){
return;
}
setNoticeOpen(false);
setAlertsList((old) => {
let newAlertsList = [
@ -73,6 +79,9 @@ export default function App() {
}
// If there is a success alert open with data, add it to the alertsList
else if (successOpen && successData) {
if(alertsList.length > 0 && JSON.stringify(alertsList[alertsList.length - 1].data)===JSON.stringify(successData)){
return;
}
setSuccessOpen(false);
setAlertsList((old) => {
let newAlertsList = [
@ -152,4 +161,4 @@ export default function App() {
</div>
</div>
);
}
}

13
src/frontend/src/contexts/alertContext.tsx
View file

@ -78,9 +78,9 @@ export function AlertProvider({ children }: { children: ReactNode }) {
* @param newState An object containing the new error data, including title and optional list of error messages
*/
function setErrorData(newState: { title: string; list?: Array<string> }) {
setErrorDataState(newState);
setErrorOpen(true);
if (newState.title && newState.title !== "") {
setErrorDataState(newState);
setErrorOpen(true);
setNotificationCenter(true);
pushNotificationList({
type: "error",
@ -95,9 +95,9 @@ export function AlertProvider({ children }: { children: ReactNode }) {
* @param newState An object containing the title of the notice and optionally a link.
*/
function setNoticeData(newState: { title: string; link?: string }) {
setNoticeDataState(newState);
setNoticeOpen(true);
if (newState.title && newState.title !== "") {
setNoticeDataState(newState);
setNoticeOpen(true);
// Add new notice to notification center
setNotificationCenter(true);
pushNotificationList({
@ -113,11 +113,10 @@ export function AlertProvider({ children }: { children: ReactNode }) {
* @param newState - A state object with a "title" property to set in the success data state.
*/
function setSuccessData(newState: { title: string }) {
setSuccessDataState(newState); // update the success data state with the provided new state
setSuccessOpen(true); // open the success alert
// If the new state has a "title" property, add a new success notification to the list
if (newState.title && newState.title !== "") {
setSuccessDataState(newState); // update the success data state with the provided new state
setSuccessOpen(true); // open the success alert
setNotificationCenter(true); // show the notification center
pushNotificationList({
// add the new notification to the list

9
src/frontend/src/icons/VertexAI/index.tsx Normal file
View file

@ -0,0 +1,9 @@
import React, { forwardRef } from "react";
import { ReactComponent as VertexAISVG } from "./vertex_ai.svg";
export const VertexAIIcon = forwardRef<
SVGSVGElement,
React.PropsWithChildren<{}>
>((props, ref) => {
return <VertexAISVG ref={ref} {...props} />;
});

1
src/frontend/src/icons/VertexAI/vertex_ai.svg Normal file
View file

@ -0,0 +1 @@
<svg viewBox="0 0 32 32" fit="" height="100%" width="100%" preserveAspectRatio="xMidYMid meet" focusable="false"><path d="M26.69 18.53a1 1 0 00-1.4-.22L16 25.17v.29a1 1 0 110 1.91v.05a1 1 0 00.6-.19l9.88-7.3a1 1 0 00.21-1.4z" fill="#80868b"></path><path d="M16 27.37a1 1 0 110-1.91v-.29l-9.29-6.86a1 1 0 00-1.4.22 1 1 0 00.21 1.4l9.89 7.3a1 1 0 00.59.19v-.05z" fill="#9ba0a5"></path><path d="M16 24.46a2 2 0 102 2 2 2 0 00-2-2zm0 2.91a1 1 0 111-.95 1 1 0 01-1 .95z" fill="#606368"></path><path d="M8 8.14a1 1 0 01-1-1V4.63a1 1 0 112 0v2.51a1 1 0 01-1 1z" fill="#9ba0a5"></path><circle cx="7.97" cy="16" r="1.01" fill="#9ba0a5"></circle><circle cx="7.97" cy="13.05" r="1.01" fill="#9ba0a5"></circle><circle cx="7.97" cy="10.09" r="1.01" fill="#9ba0a5"></circle><path d="M24 11.07a1 1 0 01-1-1V7.55a1 1 0 012 0v2.52a1 1 0 01-1 1z" fill="#606368"></path><circle cx="24.03" cy="16.01" r="1.01" fill="#606368"></circle><circle cx="24.03" cy="13.02" r="1.01" fill="#606368"></circle><circle cx="24.03" cy="4.63" r="1.01" fill="#606368"></circle><path d="M16 20a1 1 0 01-1-1v-2.54a1 1 0 012 0V19a1 1 0 01-1 1z" fill="#80868b"></path><circle cx="16" cy="21.93" r="1.01" fill="#80868b"></circle><circle cx="16" cy="13.51" r="1.01" fill="#80868b"></circle><circle cx="16" cy="10.56" r="1.01" fill="#80868b"></circle><path d="M20 14.05a1 1 0 01-1-1v-2.51a1 1 0 112 0v2.51a1 1 0 01-1 1z" fill="#606368"></path><circle cx="20.02" cy="7.58" r="1.01" fill="#606368"></circle><circle cx="20.02" cy="18.92" r="1.01" fill="#606368"></circle><circle cx="20.02" cy="15.97" r="1.01" fill="#606368"></circle><circle cx="11.98" cy="18.92" r="1.01" fill="#9ba0a5"></circle><circle cx="11.98" cy="10.56" r="1.01" fill="#9ba0a5"></circle><circle cx="11.98" cy="7.58" r="1.01" fill="#9ba0a5"></circle><path d="M12 17a1 1 0 01-1-1v-2.54a1 1 0 012 0V16a1 1 0 01-1 1z" fill="#9ba0a5"></path></svg>
Side by side

After

Width:  |  Height:  |  Size: 1.8 KiB

23
src/frontend/src/modals/chatModal/index.tsx
View file

@ -11,6 +11,7 @@ import { ChatMessageType } from "../../types/chat";
import ChatInput from "./chatInput";
import _ from "lodash";
import { getHealth } from "../../controllers/API";
export default function ChatModal({
flow,
@ -204,25 +205,25 @@ export default function ChatModal({
handleOnClose(event);
};
newWs.onerror = (ev) => {
console.log(ev, "error");
if (flow.id === "") {
connectWS();
} else {
getHealth().then((res) => {
if (res.status === 200) {
connectWS();
}
}).catch((err) => {
setErrorData({
title: "There was an error on web connection, please: ",
// message when the backend failed
title: "The backend is not responding. Please try again later.",
// possible solution list
list: [
"Refresh the page",
"Use a new flow tab",
"Check if the backend is up",
"Check your internet connection.",
"Check if the backend is running."
],
});
}
})
};
ws.current = newWs;
} catch (error) {
if (flow.id === "") {
connectWS();
}
console.log(error);
}
}

7
src/frontend/src/utils.ts
View file

@ -47,6 +47,7 @@ import {
} from "lucide-react";
import { SupabaseIcon } from "./icons/supabase";
import { MongoDBIcon } from "./icons/MongoDB";
import { VertexAIIcon } from "./icons/VertexAI";
export function classNames(...classes: Array<string>) {
return classes.filter(Boolean).join(" ");
@ -241,6 +242,12 @@ export const nodeIconsLucide: {
SupabaseVectorStore: SupabaseIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
VertexAI: VertexAIIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
ChatVertexAI: VertexAIIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
agents: Rocket as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,