From 98ed4e06bbf45a8d5e2909aaa576975e25c8c6ba Mon Sep 17 00:00:00 2001 From: Thomas Werkmeister Date: Tue, 8 Nov 2022 09:48:55 +0100 Subject: [PATCH 1/9] Upgraded numpy and scikit learn dependencies (#11732) * upgraded numpy, scikit learn, and scipy, to higher versions --- poetry.lock | 1454 ++++------------- pyproject.toml | 15 +- rasa/core/evaluation/marker_stats.py | 11 +- .../featurizers/single_state_featurizer.py | 3 +- rasa/core/policies/ted_policy.py | 18 +- .../core/policies/unexpected_intent_policy.py | 11 +- rasa/nlu/classifiers/diet_classifier.py | 24 +- .../classifiers/sklearn_intent_classifier.py | 10 +- .../dense_featurizer/dense_featurizer.py | 5 +- .../dense_featurizer/lm_featurizer.py | 3 +- rasa/nlu/test.py | 4 +- rasa/shared/nlu/training_data/features.py | 8 +- rasa/utils/common.py | 3 + rasa/utils/plotting.py | 33 +- rasa/utils/tensorflow/data_generator.py | 4 +- rasa/utils/tensorflow/model_data.py | 25 +- rasa/utils/tensorflow/model_data_utils.py | 5 +- rasa/utils/tensorflow/models.py | 3 +- 18 files changed, 361 insertions(+), 1278 deletions(-) diff --git a/poetry.lock b/poetry.lock index cdad3d99fb43..6356a6c21286 100644 --- a/poetry.lock +++ b/poetry.lock @@ -126,7 +126,7 @@ test = ["mock (==2.0.0)", "pylint (==1.9.3)", "flake8 (==3.7.9)"] [[package]] name = "anyio" -version = "3.6.1" +version = "3.6.2" description = "High level compatibility layer for multiple asynchronous event loop implementations" category = "dev" optional = false @@ -140,7 +140,7 @@ typing-extensions = {version = "*", markers = "python_version < \"3.8\""} [package.extras] doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"] test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"] -trio = ["trio (>=0.16)"] +trio = ["trio (>=0.16,<0.22)"] [[package]] name = "apscheduler" @@ -222,7 +222,7 @@ tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (> [[package]] name = "azure-core" -version = "1.26.0" +version = "1.26.1" description = "Microsoft Azure Core Library for Python" category = "dev" optional = false @@ -331,7 +331,7 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "blis" -version = "0.7.8" +version = "0.7.9" description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension." category = "main" optional = true @@ -342,14 +342,14 @@ numpy = ">=1.15.0" [[package]] name = "boto3" -version = "1.24.89" +version = "1.26.3" description = "The AWS SDK for Python" category = "main" optional = false python-versions = ">= 3.7" [package.dependencies] -botocore = ">=1.27.89,<1.28.0" +botocore = ">=1.29.3,<1.30.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.6.0,<0.7.0" @@ -358,7 +358,7 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.27.89" +version = "1.29.3" description = "Low-level, data-driven core of boto 3." category = "main" optional = false @@ -471,11 +471,11 @@ python-versions = ">=3.6" [[package]] name = "colorama" -version = "0.4.5" +version = "0.4.6" description = "Cross-platform colored terminal text." category = "main" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" [[package]] name = "colorclass" @@ -552,7 +552,7 @@ yaml = ["PyYAML (>=3.10)"] [[package]] name = "cryptography" -version = "38.0.1" +version = "38.0.3" description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." category = "main" optional = false @@ -579,7 +579,7 @@ python-versions = ">=3.6" [[package]] name = "cymem" -version = "2.0.6" +version = "2.0.7" description = "Manage calls to calloc/free through Cython" category = "main" optional = true @@ -660,7 +660,7 @@ requests = ">=2.6.0" [[package]] name = "datadog-api-client" -version = "2.4.0" +version = "2.5.0" description = "Collection of all Datadog Public endpoints" category = "dev" optional = false @@ -747,6 +747,17 @@ python-versions = ">=3.6" [package.extras] test = ["pytest", "black"] +[[package]] +name = "exceptiongroup" +version = "1.0.1" +description = "Backport of PEP 654 (exception groups)" +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.extras] +test = ["pytest (>=6)"] + [[package]] name = "execnet" version = "1.9.0" @@ -760,7 +771,7 @@ testing = ["pre-commit"] [[package]] name = "fakeredis" -version = "1.9.3" +version = "1.10.0" description = "Fake implementation of redis API for testing purposes." category = "dev" optional = false @@ -837,7 +848,7 @@ pydocstyle = ">=2.1" [[package]] name = "flatbuffers" -version = "22.9.24" +version = "22.10.26" description = "The FlatBuffers serialization format for Python" category = "main" optional = false @@ -845,7 +856,7 @@ python-versions = "*" [[package]] name = "fonttools" -version = "4.37.4" +version = "4.38.0" description = "Tools to manipulate font files" category = "main" optional = false @@ -886,7 +897,7 @@ python-versions = ">=3.7" [[package]] name = "fsspec" -version = "2022.8.2" +version = "2022.10.0" description = "File-system specification" category = "main" optional = false @@ -962,7 +973,7 @@ test = ["betamax (>=0.8.0)", "pytest (>2.3.5)", "betamax-matchers (>=0.1.0)", "u [[package]] name = "gitpython" -version = "3.1.28" +version = "3.1.29" description = "GitPython is a python library used to interact with Git repositories" category = "dev" optional = false @@ -993,7 +1004,7 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"] [[package]] name = "google-auth" -version = "2.12.0" +version = "2.14.0" description = "Google Authentication Library" category = "main" optional = false @@ -1112,18 +1123,19 @@ grpc = ["grpcio (>=1.0.0,<2.0.0dev)"] [[package]] name = "greenlet" -version = "1.1.3" +version = "2.0.0.post0" description = "Lightweight in-process concurrent programming" category = "main" optional = false python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*" [package.extras] -docs = ["sphinx"] +docs = ["sphinx", "docutils (<0.18)"] +test = ["objgraph", "faulthandler"] [[package]] name = "grpcio" -version = "1.49.1" +version = "1.50.0" description = "HTTP/2-based RPC framework" category = "main" optional = false @@ -1133,7 +1145,7 @@ python-versions = ">=3.7" six = ">=1.5.2" [package.extras] -protobuf = ["grpcio-tools (>=1.49.1)"] +protobuf = ["grpcio-tools (>=1.50.0)"] [[package]] name = "h11" @@ -1205,7 +1217,7 @@ socks = ["socksio (>=1.0.0,<2.0.0)"] [[package]] name = "huggingface-hub" -version = "0.10.0" +version = "0.10.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" category = "main" optional = true @@ -1221,14 +1233,14 @@ tqdm = "*" typing-extensions = ">=3.7.4.3" [package.extras] -torch = ["torch"] -testing = ["soundfile", "pytest-cov", "pytest", "jinja2", "jedi", "isort (>=5.5.4)", "InquirerPy (==0.3.4)"] -tensorflow = ["graphviz", "pydot", "tensorflow"] -quality = ["mypy", "isort (>=5.5.4)", "flake8-bugbear", "flake8 (>=3.8.3)", "black (==22.3)"] -fastai = ["fastcore (>=1.3.27)", "fastai (>=2.4)", "toml"] -dev = ["mypy", "flake8-bugbear", "flake8 (>=3.8.3)", "black (==22.3)", "soundfile", "pytest-cov", "pytest", "jinja2", "jedi", "isort (>=5.5.4)", "InquirerPy (==0.3.4)"] +all = ["InquirerPy (==0.3.4)", "isort (>=5.5.4)", "jedi", "jinja2", "pytest", "pytest-cov", "soundfile", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "mypy"] cli = ["InquirerPy (==0.3.4)"] -all = ["mypy", "flake8-bugbear", "flake8 (>=3.8.3)", "black (==22.3)", "soundfile", "pytest-cov", "pytest", "jinja2", "jedi", "isort (>=5.5.4)", "InquirerPy (==0.3.4)"] +dev = ["InquirerPy (==0.3.4)", "isort (>=5.5.4)", "jedi", "jinja2", "pytest", "pytest-cov", "soundfile", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "mypy"] +fastai = ["toml", "fastai (>=2.4)", "fastcore (>=1.3.27)"] +quality = ["black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "mypy"] +tensorflow = ["tensorflow", "pydot", "graphviz"] +testing = ["InquirerPy (==0.3.4)", "isort (>=5.5.4)", "jedi", "jinja2", "pytest", "pytest-cov", "soundfile"] +torch = ["torch"] [[package]] name = "humanfriendly" @@ -1283,13 +1295,14 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 [[package]] name = "incremental" -version = "21.3.0" -description = "A small library that versions your Python projects." +version = "22.10.0" +description = "\"A small library that versions your Python projects.\"" category = "dev" optional = false python-versions = "*" [package.extras] +mypy = ["click (>=6.0)", "twisted (>=16.4.0)", "mypy (==0.812)"] scripts = ["click (>=6.0)", "twisted (>=16.4.0)"] [[package]] @@ -1369,9 +1382,9 @@ python-versions = ">=2.7" importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} [package.extras] -testing = ["pytest-flake8 (>=1.1.1)", "jsonlib", "enum34", "pytest-flake8 (<1.1.0)", "sqlalchemy", "scikit-learn", "pymongo", "pandas", "numpy", "feedparser", "ecdsa", "pytest-cov", "pytest-black-multipy", "pytest-checkdocs (>=1.2.3)", "pytest (>=3.5,!=3.7.3)"] -"testing.libs" = ["yajl", "ujson", "simplejson"] -docs = ["rst.linker (>=1.9)", "jaraco.packaging (>=3.2)", "sphinx"] +docs = ["sphinx", "jaraco.packaging (>=3.2)", "rst.linker (>=1.9)"] +testing = ["pytest (>=3.5,!=3.7.3)", "pytest-checkdocs (>=1.2.3)", "pytest-black-multipy", "pytest-cov", "ecdsa", "feedparser", "numpy", "pandas", "pymongo", "scikit-learn", "sqlalchemy", "pytest-flake8 (<1.1.0)", "enum34", "jsonlib", "pytest-flake8 (>=1.1.1)"] +"testing.libs" = ["simplejson", "ujson", "yajl"] [[package]] name = "jsonschema" @@ -1569,7 +1582,7 @@ python-versions = "*" [[package]] name = "moto" -version = "4.0.7" +version = "4.0.9" description = "A library that allows your python tests to easily mock out the boto library" category = "dev" optional = false @@ -1586,11 +1599,10 @@ python-dateutil = ">=2.1,<3.0.0" pytz = "*" requests = ">=2.5" responses = ">=0.13.0" -werkzeug = ">=0.5,<2.2.0" +werkzeug = ">=0.5,<2.2.0 || >2.2.0,<2.2.1 || >2.2.1" xmltodict = "*" [package.extras] -ssm = ["PyYAML (>=5.1)", "dataclasses"] all = ["PyYAML (>=5.1)", "python-jose[cryptography] (>=3.1.0,<4.0.0)", "ecdsa (!=0.15)", "docker (>=2.5.1)", "graphql-core", "jsondiff (>=1.1.2)", "aws-xray-sdk (>=0.93,!=0.96)", "idna (>=2.5,<4)", "cfn-lint (>=0.4.0)", "sshpubkeys (>=3.1.0)", "pyparsing (>=3.0.7)", "openapi-spec-validator (>=0.2.8)", "setuptools"] apigateway = ["PyYAML (>=5.1)", "python-jose[cryptography] (>=3.1.0,<4.0.0)", "ecdsa (!=0.15)", "openapi-spec-validator (>=0.2.8)"] apigatewayv2 = ["PyYAML (>=5.1)"] @@ -1610,7 +1622,8 @@ glue = ["pyparsing (>=3.0.7)"] iotdata = ["jsondiff (>=1.1.2)"] route53resolver = ["sshpubkeys (>=3.1.0)"] s3 = ["PyYAML (>=5.1)"] -server = ["PyYAML (>=5.1)", "python-jose[cryptography] (>=3.1.0,<4.0.0)", "ecdsa (!=0.15)", "docker (>=2.5.1)", "graphql-core", "jsondiff (>=1.1.2)", "aws-xray-sdk (>=0.93,!=0.96)", "idna (>=2.5,<4)", "cfn-lint (>=0.4.0)", "sshpubkeys (>=3.1.0)", "pyparsing (>=3.0.7)", "openapi-spec-validator (>=0.2.8)", "setuptools", "flask (<2.2.0)", "flask-cors"] +server = ["PyYAML (>=5.1)", "python-jose[cryptography] (>=3.1.0,<4.0.0)", "ecdsa (!=0.15)", "docker (>=2.5.1)", "graphql-core", "jsondiff (>=1.1.2)", "aws-xray-sdk (>=0.93,!=0.96)", "idna (>=2.5,<4)", "cfn-lint (>=0.4.0)", "sshpubkeys (>=3.1.0)", "pyparsing (>=3.0.7)", "openapi-spec-validator (>=0.2.8)", "setuptools", "flask (!=2.2.0,!=2.2.1)", "flask-cors"] +ssm = ["PyYAML (>=5.1)", "dataclasses"] xray = ["aws-xray-sdk (>=0.93,!=0.96)", "setuptools"] [[package]] @@ -1649,7 +1662,7 @@ python-versions = ">=3.6" [[package]] name = "murmurhash" -version = "1.0.8" +version = "1.0.9" description = "Cython bindings for MurmurHash" category = "main" optional = true @@ -1670,9 +1683,9 @@ typed-ast = {version = ">=1.4.0,<2", markers = "python_version < \"3.8\""} typing-extensions = ">=3.10" [package.extras] -reports = ["lxml"] -python2 = ["typed-ast (>=1.4.0,<2)"] dmypy = ["psutil (>=4.0)"] +python2 = ["typed-ast (>=1.4.0,<2)"] +reports = ["lxml"] [[package]] name = "mypy-extensions" @@ -1717,9 +1730,25 @@ category = "main" optional = false python-versions = ">=3.7,<3.11" +[[package]] +name = "numpy" +version = "1.22.4" +description = "NumPy is the fundamental package for array computing with Python." +category = "main" +optional = false +python-versions = ">=3.8" + +[[package]] +name = "numpy" +version = "1.23.4" +description = "NumPy is the fundamental package for array computing with Python." +category = "main" +optional = false +python-versions = ">=3.8" + [[package]] name = "oauthlib" -version = "3.2.1" +version = "3.2.2" description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic" category = "main" optional = false @@ -1781,7 +1810,7 @@ locket = "*" toolz = "*" [package.extras] -complete = ["blosc", "pyzmq", "pandas (>=0.19.0)", "numpy (>=1.9.0)"] +complete = ["numpy (>=1.9.0)", "pandas (>=0.19.0)", "pyzmq", "blosc"] [[package]] name = "pathspec" @@ -1811,7 +1840,7 @@ test = ["pytest", "pytest-coverage", "mock", "typer-cli"] [[package]] name = "pbr" -version = "5.10.0" +version = "5.11.0" description = "Python Build Reasonableness" category = "dev" optional = false @@ -1830,7 +1859,7 @@ packaging = ">=20.3,<21.0" [[package]] name = "pillow" -version = "9.2.0" +version = "9.3.0" description = "Python Imaging Library (Fork)" category = "main" optional = false @@ -1850,15 +1879,15 @@ python-versions = ">=3.6" [[package]] name = "platformdirs" -version = "2.5.2" -description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +version = "2.5.3" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." category = "dev" optional = false python-versions = ">=3.7" [package.extras] -docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)", "sphinx (>=4)"] -test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytest (>=6)"] +docs = ["furo (>=2022.9.29)", "proselint (>=0.13)", "sphinx-autodoc-typehints (>=1.19.4)", "sphinx (>=5.3)"] +test = ["appdirs (==1.4.4)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest (>=7.2)"] [[package]] name = "pluggy" @@ -1877,7 +1906,7 @@ testing = ["pytest", "pytest-benchmark"] [[package]] name = "preshed" -version = "3.0.7" +version = "3.0.8" description = "Cython hash table that trusts the keys are pre-hashed" category = "main" optional = true @@ -1908,7 +1937,7 @@ python-versions = ">=3.5" [[package]] name = "psutil" -version = "5.9.2" +version = "5.9.3" description = "Cross-platform lib for process and system monitoring in Python." category = "dev" optional = false @@ -1919,7 +1948,7 @@ test = ["ipaddress", "mock", "enum34", "pywin32", "wmi"] [[package]] name = "psycopg2-binary" -version = "2.9.4" +version = "2.9.5" description = "psycopg2 - Python-PostgreSQL Database Adapter" category = "main" optional = false @@ -1970,14 +1999,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [[package]] name = "pydantic" -version = "1.9.2" +version = "1.10.2" description = "Data validation and settings management using python type hints" category = "main" optional = true -python-versions = ">=3.6.1" +python-versions = ">=3.7" [package.dependencies] -typing-extensions = ">=3.7.4.3" +typing-extensions = ">=4.1.0" [package.extras] dotenv = ["python-dotenv (>=0.10.4)"] @@ -2041,19 +2070,18 @@ python-versions = ">=3.6" [[package]] name = "pyjwt" -version = "2.5.0" +version = "2.6.0" description = "JSON Web Token implementation in Python" category = "main" optional = false python-versions = ">=3.7" [package.dependencies] -cryptography = {version = ">=3.3.1", optional = true, markers = "extra == \"crypto\""} -types-cryptography = {version = ">=3.3.21", optional = true, markers = "extra == \"crypto\""} +cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"crypto\""} [package.extras] -crypto = ["cryptography (>=3.3.1)", "types-cryptography (>=3.3.21)"] -dev = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface", "cryptography (>=3.3.1)", "types-cryptography (>=3.3.21)", "pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)", "pre-commit"] +crypto = ["cryptography (>=3.4.0)"] +dev = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface", "cryptography (>=3.4.0)", "pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)", "pre-commit"] docs = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"] tests = ["pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)"] @@ -2119,7 +2147,7 @@ python-versions = "*" [[package]] name = "pyrsistent" -version = "0.18.1" +version = "0.19.2" description = "Persistent/Functional/Immutable data structures" category = "main" optional = false @@ -2127,7 +2155,7 @@ python-versions = ">=3.7" [[package]] name = "pytest" -version = "7.1.3" +version = "7.2.0" description = "pytest: simple powerful testing with Python" category = "dev" optional = false @@ -2136,12 +2164,12 @@ python-versions = ">=3.7" [package.dependencies] attrs = ">=19.2.0" colorama = {version = "*", markers = "sys_platform == \"win32\""} +exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""} iniconfig = "*" packaging = "*" pluggy = ">=0.12,<2.0" -py = ">=1.8.2" -tomli = ">=1.0.0" +tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} [package.extras] testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] @@ -2265,12 +2293,12 @@ optional = false python-versions = ">=3.6" [package.extras] -client = ["websocket-client (>=0.54.0)", "requests (>=2.21.0)"] asyncio_client = ["aiohttp (>=3.4)"] +client = ["requests (>=2.21.0)", "websocket-client (>=0.54.0)"] [[package]] name = "python-socketio" -version = "5.7.1" +version = "5.7.2" description = "Socket.IO server and client for Python" category = "main" optional = false @@ -2286,7 +2314,7 @@ client = ["requests (>=2.21.0)", "websocket-client (>=0.54.0)"] [[package]] name = "pytz" -version = "2022.4" +version = "2022.6" description = "World timezone definitions, modern and historical" category = "main" optional = false @@ -2414,7 +2442,7 @@ rsa = ["oauthlib[signedtoken] (>=3.0.0)"] [[package]] name = "requests-toolbelt" -version = "0.10.0" +version = "0.10.1" description = "A utility belt for advanced users of python-requests" category = "main" optional = false @@ -2492,7 +2520,7 @@ jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"] [[package]] name = "ruamel.yaml.clib" -version = "0.2.6" +version = "0.2.7" description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml" category = "main" optional = false @@ -2545,11 +2573,11 @@ uvloop = {version = ">=0.5.3", markers = "sys_platform != \"win32\" and implemen websockets = ">=10.0" [package.extras] -test = ["types-ujson", "uvicorn (<0.15.0)", "pygments", "docutils", "mypy (>=0.901,<0.910)", "bandit", "isort (>=5.0.0)", "black", "flake8", "chardet (>=3.0.0,<4.0.0)", "pytest-benchmark", "pytest-sugar", "pytest-sanic", "beautifulsoup4", "pytest-cov", "gunicorn (==20.0.4)", "coverage (==5.3)", "pytest (==6.2.5)", "sanic-testing (>=0.7.0)"] +dev = ["gunicorn (==20.0.4)", "sanic-testing (>=0.7.0)", "pytest (==6.2.5)", "coverage (==5.3)", "pytest-cov", "beautifulsoup4", "pytest-sanic", "pytest-sugar", "pytest-benchmark", "chardet (>=3.0.0,<4.0.0)", "flake8", "black", "isort (>=5.0.0)", "bandit", "mypy (>=0.901,<0.910)", "docutils", "pygments", "uvicorn (<0.15.0)", "cryptography", "tox", "towncrier", "types-ujson"] +all = ["sphinx-rtd-theme 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optional = true @@ -2794,9 +2853,9 @@ numpy = ">=1.15.0" packaging = ">=20.0" pathy = ">=0.3.5" preshed = ">=3.0.2,<3.1.0" -pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.10.0" +pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.11.0" requests = ">=2.13.0,<3.0.0" -spacy-legacy = ">=3.0.9,<3.1.0" +spacy-legacy = ">=3.0.10,<3.1.0" spacy-loggers = ">=1.0.0,<2.0.0" srsly = ">=2.4.3,<3.0.0" thinc = ">=8.1.0,<8.2.0" @@ -2807,24 +2866,26 @@ wasabi = ">=0.9.1,<1.1.0" [package.extras] apple = ["thinc-apple-ops (>=0.1.0.dev0,<1.0.0)"] -cuda = ["cupy (>=5.0.0b4,<11.0.0)"] -cuda100 = ["cupy-cuda100 (>=5.0.0b4,<11.0.0)"] -cuda101 = ["cupy-cuda101 (>=5.0.0b4,<11.0.0)"] -cuda102 = ["cupy-cuda102 (>=5.0.0b4,<11.0.0)"] -cuda110 = ["cupy-cuda110 (>=5.0.0b4,<11.0.0)"] -cuda111 = ["cupy-cuda111 (>=5.0.0b4,<11.0.0)"] -cuda112 = ["cupy-cuda112 (>=5.0.0b4,<11.0.0)"] -cuda113 = ["cupy-cuda113 (>=5.0.0b4,<11.0.0)"] -cuda114 = ["cupy-cuda114 (>=5.0.0b4,<11.0.0)"] -cuda115 = ["cupy-cuda115 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applications" category = "dev" optional = false @@ -3105,14 +3166,14 @@ tests = ["absl-py", "pytest", "tensorflow-datasets (>=3.2.0)"] [[package]] name = "termcolor" -version = "2.0.1" +version = "2.1.0" description = "ANSI color formatting for output in terminal" category = "main" optional = false python-versions = ">=3.7" [package.extras] -tests = ["pytest-cov", "pytest"] +tests = ["pytest", "pytest-cov"] [[package]] name = "terminaltables" @@ -3132,7 +3193,7 @@ python-versions = "*" [[package]] name = "thinc" -version = "8.1.3" +version = "8.1.5" description = "A refreshing functional take on deep learning, compatible with your favorite libraries" category = "main" optional = true @@ -3369,14 +3430,6 @@ dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2 doc = ["mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "mdx-include (>=1.4.1,<2.0.0)"] test = ["shellingham (>=1.3.0,<2.0.0)", "pytest (>=4.4.0,<5.4.0)", "pytest-cov (>=2.10.0,<3.0.0)", 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webexteamssdk = ">=1.1.1,<1.7.0" diff --git a/rasa/core/evaluation/marker_stats.py b/rasa/core/evaluation/marker_stats.py index 4afece5a3619..3fcef569b626 100644 --- a/rasa/core/evaluation/marker_stats.py +++ b/rasa/core/evaluation/marker_stats.py @@ -1,5 +1,6 @@ from __future__ import annotations from typing import Dict, Text, Union, List, Tuple + from rasa.utils.io import WriteRow from pathlib import Path import csv @@ -12,15 +13,12 @@ def compute_statistics( values: List[Union[float, int]] -) -> Dict[Text, Union[int, float]]: +) -> Dict[Text, Union[int, float, np.floating]]: """Computes some statistics over the given numbers.""" return { "count": len(values) if values else 0, "mean": np.mean(values) if values else np.nan, - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - "median": ( - np.median(values) if values else np.nan # type: ignore[no-untyped-call] - ), + "median": np.median(values) if values else np.nan, "min": min(values) if values else np.nan, "max": max(values) if values else np.nan, } @@ -281,8 +279,7 @@ def _write_row( elif np.isnan(statistic_value): value_str = str(np.nan) else: - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - value_str = np.round(statistic_value, 3) # type: ignore[no-untyped-call] + value_str = np.round(statistic_value, 3) table_writer.writerow( [ str(item) diff --git a/rasa/core/featurizers/single_state_featurizer.py b/rasa/core/featurizers/single_state_featurizer.py index fce59c09870b..7d8c504084c1 100644 --- a/rasa/core/featurizers/single_state_featurizer.py +++ b/rasa/core/featurizers/single_state_featurizer.py @@ -142,8 +142,7 @@ def _create_features( # its value if state_feature in self._default_feature_states[attribute]: features[self._default_feature_states[attribute][state_feature]] = value - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - features = np.expand_dims(features, 0) # type: ignore[no-untyped-call] + features = np.expand_dims(features, 0) if sparse: features = scipy.sparse.coo_matrix(features) diff --git a/rasa/core/policies/ted_policy.py b/rasa/core/policies/ted_policy.py index c9e756884233..a1d1f387d53c 100644 --- a/rasa/core/policies/ted_policy.py +++ b/rasa/core/policies/ted_policy.py @@ -455,13 +455,12 @@ def _assemble_label_data( SEQUENCE, ) label_ids = np.arange(domain.num_actions) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 label_data.add_features( LABEL_KEY, LABEL_SUB_KEY, [ FeatureArray( - np.expand_dims(label_ids, -1), # type: ignore[no-untyped-call] + np.expand_dims(label_ids, -1), number_of_dimensions=2, ) ], @@ -527,12 +526,8 @@ def _create_model_data( model_data = RasaModelData(label_key=LABEL_KEY, label_sub_key=LABEL_SUB_KEY) if label_ids is not None and encoded_all_labels is not None: - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 label_ids = np.array( - [ - np.expand_dims(seq_label_ids, -1) # type: ignore[no-untyped-call] - for seq_label_ids in label_ids - ] + [np.expand_dims(seq_label_ids, -1) for seq_label_ids in label_ids] ) model_data.add_features( LABEL_KEY, @@ -800,15 +795,10 @@ def _pick_confidence( logger.debug(f"User intent lead to '{non_e2e_action_name}'.") e2e_action_name = domain.action_names_or_texts[np.argmax(confidences[1])] logger.debug(f"User text lead to '{e2e_action_name}'.") - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 if ( - np.max(confidences[1]) # type: ignore[no-untyped-call] - > self.config[E2E_CONFIDENCE_THRESHOLD] + np.max(confidences[1]) > self.config[E2E_CONFIDENCE_THRESHOLD] # TODO maybe compare confidences is better - and np.max(similarities[1]) # type: ignore[no-untyped-call] - > np.max(similarities[0]) # type: ignore[no-untyped-call] + and np.max(similarities[1]) > np.max(similarities[0]) ): logger.debug(f"TED predicted '{e2e_action_name}' based on user text.") return confidences[1], True diff --git a/rasa/core/policies/unexpected_intent_policy.py b/rasa/core/policies/unexpected_intent_policy.py index 9858f826884b..d5b39a561b82 100644 --- a/rasa/core/policies/unexpected_intent_policy.py +++ b/rasa/core/policies/unexpected_intent_policy.py @@ -370,13 +370,12 @@ def _assemble_label_data( f"{LABEL}_{INTENT}", SEQUENCE_LENGTH, f"{LABEL}_{INTENT}", SEQUENCE ) label_ids = np.arange(len(domain.intents)) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 label_data.add_features( LABEL_KEY, LABEL_SUB_KEY, [ FeatureArray( - np.expand_dims(label_ids, -1), # type: ignore[no-untyped-call] + np.expand_dims(label_ids, -1), number_of_dimensions=2, ) ], @@ -784,10 +783,7 @@ def _collect_label_id_grouped_scores( Returns: Both buckets of similarity scores grouped by each unique label id. """ - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - unique_label_ids = np.unique( - label_ids - ).tolist() # type: ignore[no-untyped-call] + unique_label_ids = np.unique(label_ids).tolist() if LABEL_PAD_ID in unique_label_ids: unique_label_ids.remove(LABEL_PAD_ID) @@ -839,9 +835,8 @@ def _compute_label_quantiles( prediction_scores[NEGATIVE_SCORES_KEY], ) minimum_positive_score = min(positive_scores) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 if negative_scores: - quantile_values = np.quantile( # type: ignore[no-untyped-call] + quantile_values = np.quantile( # type: ignore[call-overload] negative_scores, quantile_indices, interpolation="lower" ) label_quantiles[label_id] = [ diff --git a/rasa/nlu/classifiers/diet_classifier.py b/rasa/nlu/classifiers/diet_classifier.py index 5f512dbf8edf..aed77970cd20 100644 --- a/rasa/nlu/classifiers/diet_classifier.py +++ b/rasa/nlu/classifiers/diet_classifier.py @@ -605,16 +605,10 @@ def _compute_default_label_features( logger.debug("No label features found. Computing default label features.") eye_matrix = np.eye(len(labels_example), dtype=np.float32) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 # add sequence dimension to one-hot labels return [ FeatureArray( - np.array( - [ - np.expand_dims(a, 0) # type: ignore[no-untyped-call] - for a in eye_matrix - ] - ), + np.array([np.expand_dims(a, 0) for a in eye_matrix]), number_of_dimensions=3, ) ] @@ -664,7 +658,6 @@ def _create_label_data( ) label_ids = np.array([idx for (idx, _) in labels_idx_examples]) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 # explicitly add last dimension to label_ids # to track correctly dynamic sequences label_data.add_features( @@ -672,7 +665,7 @@ def _create_label_data( LABEL_SUB_KEY, [ FeatureArray( - np.expand_dims(label_ids, -1), # type: ignore[no-untyped-call] + np.expand_dims(label_ids, -1), number_of_dimensions=2, ) ], @@ -800,13 +793,12 @@ def _add_label_features( label_ids.append(label_id_dict[example.get(label_attribute)]) # explicitly add last dimension to label_ids # to track correctly dynamic sequences - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 model_data.add_features( LABEL_KEY, LABEL_SUB_KEY, [ FeatureArray( - np.expand_dims(label_ids, -1), # type: ignore[no-untyped-call] + np.expand_dims(label_ids, -1), number_of_dimensions=2, ) ], @@ -871,15 +863,7 @@ def preprocess_train_data(self, training_data: TrainingData) -> RasaModelData: @staticmethod def _check_enough_labels(model_data: RasaModelData) -> bool: - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - return ( - len( - np.unique( # type: ignore[no-untyped-call] - model_data.get(LABEL_KEY, LABEL_SUB_KEY) - ) - ) - >= 2 - ) + return len(np.unique(model_data.get(LABEL_KEY, LABEL_SUB_KEY))) >= 2 def train(self, training_data: TrainingData) -> Resource: """Train the embedding intent classifier on a data set.""" diff --git a/rasa/nlu/classifiers/sklearn_intent_classifier.py b/rasa/nlu/classifiers/sklearn_intent_classifier.py index aac570cc17b6..5c941d3d8806 100644 --- a/rasa/nlu/classifiers/sklearn_intent_classifier.py +++ b/rasa/nlu/classifiers/sklearn_intent_classifier.py @@ -163,10 +163,7 @@ def _get_sentence_features(message: Message) -> np.ndarray: def _num_cv_splits(self, y: np.ndarray) -> int: folds = self.component_config["max_cross_validation_folds"] - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - return max( - 2, min(folds, np.min(np.bincount(y)) // 5) # type: ignore[no-untyped-call] - ) + return max(2, min(folds, np.min(np.bincount(y)) // 5)) def _create_classifier( self, num_threads: int, y: np.ndarray @@ -264,10 +261,7 @@ def predict(self, X: np.ndarray) -> Tuple[np.ndarray, np.ndarray]: # sort the probabilities retrieving the indices of # the elements in sorted order - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - sorted_indices = np.fliplr( # type: ignore[no-untyped-call] - np.argsort(pred_result, axis=1) - ) + sorted_indices = np.fliplr(np.argsort(pred_result, axis=1)) return sorted_indices, pred_result[:, sorted_indices] def persist(self) -> None: diff --git a/rasa/nlu/featurizers/dense_featurizer/dense_featurizer.py b/rasa/nlu/featurizers/dense_featurizer/dense_featurizer.py index 7c7c79c3a691..d3bc6990be69 100644 --- a/rasa/nlu/featurizers/dense_featurizer/dense_featurizer.py +++ b/rasa/nlu/featurizers/dense_featurizer/dense_featurizer.py @@ -48,10 +48,7 @@ def aggregate_sequence_features( if pooling_operation == MEAN_POOLING: return np.mean(dense_sequence_features, axis=0, keepdims=True) elif pooling_operation == MAX_POOLING: - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - return np.max( - dense_sequence_features, axis=0, keepdims=True - ) # type: ignore[no-untyped-call] + return np.max(dense_sequence_features, axis=0, keepdims=True) else: raise InvalidConfigException( f"Invalid pooling operation specified. Available operations are " diff --git a/rasa/nlu/featurizers/dense_featurizer/lm_featurizer.py b/rasa/nlu/featurizers/dense_featurizer/lm_featurizer.py index f48ff4c8671a..45e808abdbe2 100644 --- a/rasa/nlu/featurizers/dense_featurizer/lm_featurizer.py +++ b/rasa/nlu/featurizers/dense_featurizer/lm_featurizer.py @@ -541,9 +541,8 @@ def _add_extra_padding( reshaped_sequence_embeddings = [] for index, embedding in enumerate(sequence_embeddings): embedding_size = embedding.shape[-1] - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 if actual_sequence_lengths[index] > self.max_model_sequence_length: - embedding = np.concatenate( # type: ignore[no-untyped-call] + embedding = np.concatenate( [ embedding, np.zeros( diff --git a/rasa/nlu/test.py b/rasa/nlu/test.py index eed89ecab552..87d2ef1dafb5 100644 --- a/rasa/nlu/test.py +++ b/rasa/nlu/test.py @@ -1930,9 +1930,7 @@ def log_results(results: IntentMetrics, dataset_name: Text) -> None: dataset_name: string of which dataset the results are from, e.g. test/train """ for k, v in results.items(): - logger.info( - "{} {}: {:.3f} ({:.3f})".format(dataset_name, k, np.mean(v), np.std(v)) - ) + logger.info(f"{dataset_name} {k}: {np.mean(v):.3f} ({np.std(v):.3f})") def log_entity_results(results: EntityMetrics, dataset_name: Text) -> None: diff --git a/rasa/shared/nlu/training_data/features.py b/rasa/shared/nlu/training_data/features.py index 2132b430fefb..d981c1563bb0 100644 --- a/rasa/shared/nlu/training_data/features.py +++ b/rasa/shared/nlu/training_data/features.py @@ -99,8 +99,7 @@ def _combine_dense_features(self, additional_features: Features) -> None: f"Cannot combine dense features as sequence dimensions do not " f"match: {self.features.ndim} != {additional_features.features.ndim}." ) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - self.features = np.concatenate( # type: ignore[no-untyped-call] + self.features = np.concatenate( (self.features, additional_features.features), axis=-1 ) self._cached_fingerprint = None @@ -321,10 +320,7 @@ def combine( # Combine the features arbitrary_feature = features_list[0] if not arbitrary_feature.is_sparse(): - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - features = np.concatenate( # type: ignore[no-untyped-call] - [f.features for f in features_list], axis=-1 - ) + features = np.concatenate([f.features for f in features_list], axis=-1) else: features = scipy.sparse.hstack([f.features for f in features_list]) return Features( diff --git a/rasa/utils/common.py b/rasa/utils/common.py index 48fde9b254d2..b13cb072dc3e 100644 --- a/rasa/utils/common.py +++ b/rasa/utils/common.py @@ -66,6 +66,9 @@ # is not available on PyPi, so we cannot pin the newer version. # cf. https://github.com/google/flatbuffers/issues/6957 (DeprecationWarning, "the imp module is deprecated in favour of importlib.*"), + # Cannot fix this deprecation warning since we need to support two + # numpy versions as long as we keep python 37 around + (DeprecationWarning, "the `interpolation=` argument to quantile was renamed"), ] EXPECTED_WARNINGS.extend(EXPECTED_PILLOW_DEPRECATION_WARNINGS) diff --git a/rasa/utils/plotting.py b/rasa/utils/plotting.py index c2ffbc0e8733..a1eb3f67adfe 100644 --- a/rasa/utils/plotting.py +++ b/rasa/utils/plotting.py @@ -167,21 +167,11 @@ def _extract_paired_histogram_specification( Raises: ValueError: If histogram_data does not contain values. """ - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - if ( - not histogram_data - or not np.concatenate(histogram_data).size # type: ignore[no-untyped-call] - ): + if not histogram_data or not np.concatenate(histogram_data).size: rasa.shared.utils.io.raise_warning("No data to plot paired histogram.") raise ValueError("No data to plot paired histogram.") - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - min_data_value = np.min( - np.concatenate(histogram_data) # type: ignore[no-untyped-call] - ) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - max_data_value = np.max( - np.concatenate(histogram_data) # type: ignore[no-untyped-call] - ) + min_data_value: float = np.min(np.concatenate(histogram_data)) + max_data_value: float = np.max(np.concatenate(histogram_data)) bin_width = (max_data_value - min_data_value) / num_bins bins = [ min_data_value + i * bin_width @@ -191,10 +181,7 @@ def _extract_paired_histogram_specification( ] histograms = [ # A list of counts - how often a value in `data` falls into a particular bin - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - np.histogram(data, bins=bins, density=density)[ # type: ignore[no-untyped-call] - 0 - ] + list(np.histogram(data, bins=bins, density=density)[0]) for data in histogram_data ] @@ -212,9 +199,12 @@ def _extract_paired_histogram_specification( # by `x_pad_fraction` to get the maximum x-values displayed x_ranges = [(1.0 + x_pad_fraction) * max(histogram) for histogram in histograms] - bin_of_first_non_zero_tally = min( - [(histogram != 0).argmax(axis=0) for histogram in histograms] - ) + try: + bin_of_first_non_zero_tally = min( + [[bool(v) for v in histogram].index(True) for histogram in histograms] + ) + except ValueError: + bin_of_first_non_zero_tally = 0 y_range = ( # Start plotting where the data starts (ignore empty bins at the low end) @@ -287,8 +277,7 @@ def plot_paired_histogram( axes[side].barh( bins[:-1], tallies[side], - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - height=np.diff(bins), # type: ignore[no-untyped-call] + height=np.diff(bins), align="center", color=colors[side], linewidth=1, diff --git a/rasa/utils/tensorflow/data_generator.py b/rasa/utils/tensorflow/data_generator.py index f79c4d34e4ad..9157ea7252ca 100644 --- a/rasa/utils/tensorflow/data_generator.py +++ b/rasa/utils/tensorflow/data_generator.py @@ -1,4 +1,4 @@ -from typing import List, Union, Text, Optional, Any, Tuple, Dict +from typing import List, Union, Text, Optional, Any, Tuple, Dict, cast import logging import scipy.sparse @@ -112,7 +112,7 @@ def prepare_batch( else: _data = v[:] - if _data.is_sparse: + if cast(FeatureArray, _data).is_sparse: batch_data.extend( RasaDataGenerator._scipy_matrix_to_values(_data) ) diff --git a/rasa/utils/tensorflow/model_data.py b/rasa/utils/tensorflow/model_data.py index d1e50d14538c..b56acc3601f5 100644 --- a/rasa/utils/tensorflow/model_data.py +++ b/rasa/utils/tensorflow/model_data.py @@ -11,6 +11,7 @@ NamedTuple, ItemsView, overload, + cast, ) from collections import defaultdict, OrderedDict @@ -78,7 +79,7 @@ def __init__( super().__init__(**kwargs) self.number_of_dimensions = number_of_dimensions - def __array_finalize__(self, obj: Any) -> None: + def __array_finalize__(self, obj: Optional[np.ndarray]) -> None: """This method is called when the system allocates a new array from obj. Args: @@ -160,10 +161,7 @@ def __setstate__(self, state: Any, **kwargs: Any) -> None: self.number_of_dimensions = state[-3] self.is_sparse = state[-2] self.units = state[-1] - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - super(FeatureArray, self).__setstate__( - state[0:-3], **kwargs - ) # type: ignore[no-untyped-call] + super(FeatureArray, self).__setstate__(state[0:-3], **kwargs) # pytype: enable=attribute-error @@ -350,7 +348,8 @@ def first_data_example(self) -> Data: for key, attribute_data in self.data.items(): out_data[key] = {} for sub_key, features in attribute_data.items(): - out_data[key][sub_key] = [feature[:1] for feature in features] + feature_slices = [feature[:1] for feature in features] + out_data[key][sub_key] = cast(List[FeatureArray], feature_slices) return out_data def does_feature_exist(self, key: Text, sub_key: Optional[Text] = None) -> bool: @@ -606,11 +605,10 @@ def split( label_ids = self._create_label_ids( self.data[self.label_key][self.label_sub_key][0] ) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 label_counts: Dict[int, int] = dict( zip( *np.unique( - label_ids, # type: ignore[no-untyped-call] + label_ids, return_counts=True, axis=0, ) @@ -713,8 +711,7 @@ def balanced_data(self, data: Data, batch_size: int, shuffle: bool) -> Data: label_ids = self._create_label_ids(data[self.label_key][self.label_sub_key][0]) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - unique_label_ids, counts_label_ids = np.unique( # type: ignore[no-untyped-call] + unique_label_ids, counts_label_ids = np.unique( label_ids, return_counts=True, axis=0 ) num_label_ids = len(unique_label_ids) @@ -769,15 +766,12 @@ def balanced_data(self, data: Data, batch_size: int, shuffle: bool) -> Data: break final_data: Data = defaultdict(lambda: defaultdict(list)) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 for key, attribute_data in new_data.items(): for sub_key, features in attribute_data.items(): for f in features: final_data[key][sub_key].append( FeatureArray( - np.concatenate( # type: ignore[no-untyped-call] - np.array(f) - ), + np.concatenate(np.array(f)), number_of_dimensions=f[0].number_of_dimensions, ) ) @@ -948,9 +942,8 @@ def _combine_features( return FeatureArray( scipy.sparse.vstack([feature_1, feature_2]), number_of_dimensions ) - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 return FeatureArray( - np.concatenate([feature_1, feature_2]), # type: ignore[no-untyped-call] + np.concatenate([feature_1, feature_2]), number_of_dimensions, ) diff --git a/rasa/utils/tensorflow/model_data_utils.py b/rasa/utils/tensorflow/model_data_utils.py index 843e3f68c561..cfca7940e1a0 100644 --- a/rasa/utils/tensorflow/model_data_utils.py +++ b/rasa/utils/tensorflow/model_data_utils.py @@ -489,10 +489,7 @@ def _extract_features( # add additional dimension to attribute mask # to get a vector of shape (dialogue length x 1), # the batch dim will be added later - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 - attribute_mask = np.expand_dims( - attribute_mask, -1 - ) # type: ignore[no-untyped-call] + attribute_mask = np.expand_dims(attribute_mask, -1) attribute_masks.append(attribute_mask) return attribute_masks, dense_features, sparse_features diff --git a/rasa/utils/tensorflow/models.py b/rasa/utils/tensorflow/models.py index 461ad3b9914b..4d6207a15d29 100644 --- a/rasa/utils/tensorflow/models.py +++ b/rasa/utils/tensorflow/models.py @@ -351,9 +351,8 @@ def _merge_batch_outputs( if not all_outputs: return batch_output for key, val in batch_output.items(): - # [numpy-upgrade] type ignore can be removed after upgrading to numpy 1.23 if isinstance(val, np.ndarray): - all_outputs[key] = np.concatenate( # type: ignore[no-untyped-call] + all_outputs[key] = np.concatenate( [all_outputs[key], batch_output[key]], axis=0 ) From 2580cd675782f7210f5cc1c307ff6232a1cfbb16 Mon Sep 17 00:00:00 2001 From: Thomas Werkmeister Date: Wed, 9 Nov 2022 16:38:42 +0100 Subject: [PATCH 2/9] prepared release of version 3.3.1 (#11747) * prepared release of version 3.3.1 --- CHANGELOG.mdx | 8 ++++++++ changelog/11721.doc.md | 1 - changelog/11724.doc.md | 1 - pyproject.toml | 38 +++++++++++++++++++++++++------------- rasa/version.py | 2 +- 5 files changed, 34 insertions(+), 16 deletions(-) delete mode 100644 changelog/11721.doc.md delete mode 100644 changelog/11724.doc.md diff --git a/CHANGELOG.mdx b/CHANGELOG.mdx index 866d91260f55..b428b0a7c69d 100644 --- a/CHANGELOG.mdx +++ b/CHANGELOG.mdx @@ -16,6 +16,14 @@ https://github.com/RasaHQ/rasa/tree/main/changelog/ . --> +## [3.3.1] - 2022-11-09 +### Improved Documentation +- [#11721](https://github.com/rasahq/rasa/issues/11721): Add docs on how to set up additional data lakes for Rasa Pro analytics pipeline. +- [#11724](https://github.com/rasahq/rasa/issues/11724): Update migration guide and form docs with prescriptive recommendation on how to implement dynamic forms with custom slot mappings. + +### Improvements +- [#11732](https://github.com/rasahq/rasa/issues/11732): Updated numpy and scikit learn version to fix vulnerabilities of those dependencies + ## [3.3.0] - 2022-10-24 ### Improvements - [#11561](https://github.com/rasahq/rasa/issues/11561): Added option `--offset-timestamps-by-seconds` to offset the timestamp of events when using `rasa export` diff --git a/changelog/11721.doc.md b/changelog/11721.doc.md deleted file mode 100644 index 4286396c3774..000000000000 --- a/changelog/11721.doc.md +++ /dev/null @@ -1 +0,0 @@ -Add docs on how to set up additional data lakes for Rasa Pro analytics pipeline. diff --git a/changelog/11724.doc.md b/changelog/11724.doc.md deleted file mode 100644 index 227717f7e1bc..000000000000 --- a/changelog/11724.doc.md +++ /dev/null @@ -1 +0,0 @@ -Update migration guide and form docs with prescriptive recommendation on how to implement dynamic forms with custom slot mappings. diff --git a/pyproject.toml b/pyproject.toml index 02eec2099c07..5f86f3766e01 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,7 +9,7 @@ exclude = "((.eggs | .git | .pytest_cache | build | dist))" [tool.poetry] name = "rasa" -version = "3.3.0" +version = "3.3.1" description = "Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants" authors = [ "Rasa Technologies GmbH ",] maintainers = [ "Tom Bocklisch ",] @@ -73,14 +73,6 @@ matplotlib = ">=3.1,<3.6" attrs = ">=19.3,<22.2" jsonpickle = ">=1.3,<2.3" redis = ">=3.4,<5.0" -numpy = [ - {version = ">=1.19.2,<1.22.0", python = "~=3.7.0"}, - {version = ">=1.19.2,<1.24.0", python = ">=3.8,<3.10"}, -] -scipy = [ - {version = ">=1.4.1,<1.8.0", python = "~=3.7.0"}, - {version = ">=1.4.1,<1.9.0", python = ">=3.8,<3.10"} -] absl-py = ">=0.9,<1.3" apscheduler = ">=3.6,<3.10" tqdm = "^4.31" @@ -89,10 +81,6 @@ fbmessenger = "~6.0.0" pykwalify = ">=1.7,<1.9" coloredlogs = ">=10,<16" "ruamel.yaml" = ">=0.16.5,<0.18.0" -scikit-learn = [ - {version = ">=0.22,<1.1", python = "~=3.7.0"}, - {version = ">=0.22,<1.2", python = ">=3.8,<3.10"} -] slackclient = "^2.0.0" twilio = ">=6.26,<7.15" webexteamssdk = ">=1.1.1,<1.7.0" @@ -139,6 +127,30 @@ CacheControl = "^0.12.9" randomname = "^0.1.5" sanic-routing = "^0.7.2" pluggy = "^1.0.0" +[[tool.poetry.dependencies.numpy]] +version = ">=1.19.2,<1.22.0" +python = "~=3.7.0" + +[[tool.poetry.dependencies.numpy]] +version = ">=1.19.2,<1.24.0" +python = ">=3.8,<3.10" + +[[tool.poetry.dependencies.scipy]] +version = ">=1.4.1,<1.8.0" +python = "~=3.7.0" + +[[tool.poetry.dependencies.scipy]] +version = ">=1.4.1,<1.9.0" +python = ">=3.8,<3.10" + +[[tool.poetry.dependencies.scikit-learn]] +version = ">=0.22,<1.1" +python = "~=3.7.0" + +[[tool.poetry.dependencies.scikit-learn]] +version = ">=0.22,<1.2" +python = ">=3.8,<3.10" + [[tool.poetry.dependencies.spacy]] version = "^3.4" markers = "sys_platform == 'darwin' and platform_machine == 'arm64'" diff --git a/rasa/version.py b/rasa/version.py index 91be6b962273..c27552815816 100644 --- a/rasa/version.py +++ b/rasa/version.py @@ -1,3 +1,3 @@ # this file will automatically be changed, # do not add anything but the version number here! -__version__ = "3.3.0" +__version__ = "3.3.1" From eb65b5183b3e81c9196c643f6cab515771a95797 Mon Sep 17 00:00:00 2001 From: Arjaan Buijk Date: Wed, 16 Nov 2022 10:37:43 -0500 Subject: [PATCH 3/9] Update docs, which wrongly stated that messages with '/' bypass NLU --- docs/docs/responses.mdx | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/docs/responses.mdx b/docs/docs/responses.mdx index a7f9e33813c7..3309247f48ea 100644 --- a/docs/docs/responses.mdx +++ b/docs/docs/responses.mdx @@ -311,13 +311,13 @@ Passing multiple entities is also possible with: '/intent_name{{"entity_type_1":"entity_value_1", "entity_type_2": "entity_value_2"}}' ``` -:::note bypass nlu with buttons -You can use buttons to bypass NLU prediction and trigger a specific intent and entities. +:::note overwrite nlu with buttons +You can use buttons to overwrite the NLU prediction and trigger a specific intent and entities. -Messages starting with `/` are sent straight to the +Messages starting with `/` are sent handled by the `RegexInterpreter`, which expects NLU input in a shortened `/intent{entities}` format. In the example above, if the user clicks a button, the user input -will be directly classified as either the `mood_great` or `mood_sad` intent. +will be classified as either the `mood_great` or `mood_sad` intent. You can include entities with the intent to be passed to the `RegexInterpreter` using the following format: From 8b1eb6a4933e9830551a9f6fd01c710d1622f893 Mon Sep 17 00:00:00 2001 From: Arjaan Buijk Date: Wed, 16 Nov 2022 10:41:39 -0500 Subject: [PATCH 4/9] Add changelog --- changelog/11768.doc.md | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 changelog/11768.doc.md diff --git a/changelog/11768.doc.md b/changelog/11768.doc.md new file mode 100644 index 000000000000..e69de29bb2d1 From 36b6af535758f82f3cd6bb2c52db1fcaad8c5911 Mon Sep 17 00:00:00 2001 From: Arjaan Buijk Date: Wed, 16 Nov 2022 12:34:37 -0500 Subject: [PATCH 5/9] Add changelog --- changelog/11768.doc.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/changelog/11768.doc.md b/changelog/11768.doc.md index e69de29bb2d1..047addce4b76 100644 --- a/changelog/11768.doc.md +++ b/changelog/11768.doc.md @@ -0,0 +1,2 @@ +The documentation was updated for Buttons using messages that start with '/'. +Previously, it wrongly stated that messages with '/' bypass NLU, which is not the case. \ No newline at end of file From 405ac7056f968411cf57d5a4b8d0e45099f3a194 Mon Sep 17 00:00:00 2001 From: Thomas Werkmeister Date: Thu, 17 Nov 2022 14:23:24 +0100 Subject: [PATCH 6/9] Added docs for creating meta learners on the graph (#11763) * Added docs for creating meta learners on the graph --- .../nlu_meta_fallback.py | 42 +++++++++++++++++++ .../nlu_meta_intent_featurizer.py | 15 +++++++ docs/docs/custom-graph-components.mdx | 32 ++++++++++++++ 3 files changed, 89 insertions(+) create mode 100644 data/test_classes/custom_graph_components/nlu_meta_fallback.py create mode 100644 data/test_classes/custom_graph_components/nlu_meta_intent_featurizer.py diff --git a/data/test_classes/custom_graph_components/nlu_meta_fallback.py b/data/test_classes/custom_graph_components/nlu_meta_fallback.py new file mode 100644 index 000000000000..8b1592d1d180 --- /dev/null +++ b/data/test_classes/custom_graph_components/nlu_meta_fallback.py @@ -0,0 +1,42 @@ +from typing import Dict, Text, Any, List + +from rasa.engine.graph import GraphComponent, ExecutionContext +from rasa.engine.recipes.default_recipe import DefaultV1Recipe +from rasa.engine.storage.resource import Resource +from rasa.engine.storage.storage import ModelStorage +from rasa.shared.nlu.training_data.message import Message +from rasa.shared.nlu.training_data.training_data import TrainingData +from rasa.nlu.classifiers.fallback_classifier import FallbackClassifier + + +@DefaultV1Recipe.register( + [DefaultV1Recipe.ComponentType.INTENT_CLASSIFIER], is_trainable=True +) +class MetaFallback(FallbackClassifier): + + def __init__( + self, + config: Dict[Text, Any], + model_storage: ModelStorage, + resource: Resource, + execution_context: ExecutionContext, + ) -> None: + super().__init__(config) + + self._model_storage = model_storage + self._resource = resource + + @classmethod + def create( + cls, + config: Dict[Text, Any], + model_storage: ModelStorage, + resource: Resource, + execution_context: ExecutionContext, + ) -> FallbackClassifier: + """Creates a new untrained component (see parent class for full docstring).""" + return cls(config, model_storage, resource, execution_context) + + def train(self, training_data: TrainingData) -> Resource: + # Do something here with the messages + return self._resource diff --git a/data/test_classes/custom_graph_components/nlu_meta_intent_featurizer.py b/data/test_classes/custom_graph_components/nlu_meta_intent_featurizer.py new file mode 100644 index 000000000000..d9629aa80141 --- /dev/null +++ b/data/test_classes/custom_graph_components/nlu_meta_intent_featurizer.py @@ -0,0 +1,15 @@ +from rasa.engine.recipes.default_recipe import DefaultV1Recipe +from rasa.shared.nlu.training_data.training_data import TrainingData +from rasa.nlu.classifiers.diet_classifier import DIETClassifier + + +@DefaultV1Recipe.register( + [DefaultV1Recipe.ComponentType.INTENT_CLASSIFIER, + DefaultV1Recipe.ComponentType.ENTITY_EXTRACTOR, + DefaultV1Recipe.ComponentType.MESSAGE_FEATURIZER], is_trainable=True +) +class DIETFeaturizer(DIETClassifier): + + def process_training_data(self, training_data: TrainingData) -> TrainingData: + # classify and add the attributes to the messages on the training data + return training_data diff --git a/docs/docs/custom-graph-components.mdx b/docs/docs/custom-graph-components.mdx index e96ebba73702..495ce6260932 100644 --- a/docs/docs/custom-graph-components.mdx +++ b/docs/docs/custom-graph-components.mdx @@ -487,3 +487,35 @@ which trains a new model: ```python (docs/sources/data/test_classes/custom_graph_components/nlu_sparse.py) ``` + +### NLU Meta Learners +:::info Advanced use case + +NLU Meta learners are an advanced use case. The following section is only relevant +if you have a component that learns parameters based on the output of previous +classifiers. For components that have manually set parameters or logic, you can create +a component with `is_trainable=False` and not worry about the preceding classifiers. + +::: + +NLU Meta learners are intent classifiers or entity extractors that use the predictions +of other trained intent classifiers or entity extractors and try to improve upon their +results. An example for a meta learner would be a component that averages the output +of two previous intent classifiers or a fallback classifier that sets it's threshold +according to the confidence of the intent classifier on training examples. + +Conceptually, to built a trainable fallback classifier you first need to create that +fallback classifier as a custom component: + +```python (docs/sources/data/test_classes/custom_graph_components/nlu_meta_fallback.py) +``` + +Next, you will need to create a custom intent classifier that is also a featurizer, +as the classifiers' output needs to be consumed by another component downstream. +For the custom intent classifier component you also need to define how its predictions +should be added to the message data specifying the `process_training_data` method. +Make sure to not overwrite the true labels for the intents. Here's a template that +shows how to subclass DIET for this purpose: + +```python (docs/sources/data/test_classes/custom_graph_components/nlu_meta_intent_featurizer.py) +``` From c7e336032473eb5263353a9e1aaa6c430bed0fc1 Mon Sep 17 00:00:00 2001 From: Znat Date: Thu, 17 Nov 2022 18:06:24 +0100 Subject: [PATCH 7/9] Add Rasa Pro instructions as a tab in deploy docs (#11733) * Add Rasa Pro instructions as a tab in deploy docs * fix links * fix more links * minor improvements Co-authored-by: Roberto <43567378+rasabot@users.noreply.github.com> --- docs/docs/deploy/deploy-rasa-plus.mdx | 115 -------------- docs/docs/deploy/deploy-rasa-pro-services.mdx | 2 +- docs/docs/deploy/deploy-rasa.mdx | 148 ++++++++++++++++-- .../installation/rasa-pro/installation.mdx | 4 +- docs/netlify.toml | 6 +- docs/sidebars.js | 1 - trivy-secret.yaml | 4 +- 7 files changed, 148 insertions(+), 132 deletions(-) delete mode 100644 docs/docs/deploy/deploy-rasa-plus.mdx diff --git a/docs/docs/deploy/deploy-rasa-plus.mdx b/docs/docs/deploy/deploy-rasa-plus.mdx deleted file mode 100644 index 7ce8e7b0d8ad..000000000000 --- a/docs/docs/deploy/deploy-rasa-plus.mdx +++ /dev/null @@ -1,115 +0,0 @@ ---- -id: deploy-rasa-plus -sidebar_label: "Deploy Rasa Plus" -title: "Deploy Rasa Plus in Production" -description: Deploy Rasa Plus ---- - -import variables from '../variables.json'; -import RasaProLabel from '@theme/RasaProLabel'; -import RasaProBanner from '@theme/RasaProBanner'; - - - - - -To use the Rasa Plus image in a Helm deployment, you will need to substitute `rasa` with `rasa-plus` as -the image name. You will also need to pass your license in an env var -and [specify a pull secret for the image](#step-1-image-pull-secret). - -## Step 1: image pull secret - -You will need to create a pull secret to access the `rasa-plus` image. You should have -been provided with a JSON credentials file to access the registry. -The file content should look similar to this: - -```json -{ - "type": "service_account", - "project_id": "rasa-platform", - "private_key_id": "somerandomcharacters", - "private_key": "-----BEGIN PRIVATE KEY-----\n\nPBTu1lAJDLo136ZGTdMKi+/TuRqrIMg/..................................................................................................................................\nsjAsuAH4Iz1XdfdenzGnyBZH\n-----END PRIVATE KEY-----\n", - "client_email": "company@rasa-platform.iam.gserviceaccount.com", - "client_id": "12345678910123", - "auth_uri": "https://accounts.google.com/o/oauth2/auth", - "token_uri": "https://accounts.google.com/o/oauth2/token", - "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs", - "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/company%40rasa-platform.iam.gserviceaccount.com" -} -``` - -Create the pull secret by running the corresponding command for your cluster environment: - -```bash -# kubernetes -kubectl --namespace \ - create secret docker-registry rasa-plus-pull-secret \ - --docker-server=gcr.io \ - --docker-email=company@rasa-platform.iam.gserviceaccount.com \ # this value needs to be updated with correct client email - --docker-username=_json_key \ - --docker-password="$(cat .json)" -``` - -```bash -# openshift -oc --namespace \ - create secret docker-registry rasa-plus-pull-secret \ - --docker-server=gcr.io \ - --docker-email=company@rasa-platform.iam.gserviceaccount.com \ # this value needs to be updated with correct client email - --docker-username=_json_key \ - --docker-password="$(cat .json)" -``` - -## Step 2: store license in a secret - -Step a: Save the license string to a file, for example: -```sh -echo "" > license.txt -``` - -Step b: Create a secret to hold the license key: -```sh -kubectl -n create secret generic rasapro-license --from-file=licensekey=./license.txt -``` -Step c: Remove the file on disk, for example: -```sh -/bin/rm license.txt -``` - -## Step 3: update `values.yml` - -For the [Rasa Helm Chart](https://github.com/RasaHQ/helm-charts/tree/main/charts/rasa), update as follows: - -

-{`registry: europe-west3-docker.pkg.dev/rasa-releases/rasa-plus/rasa-plus
-command:
-  - rasa
-image:
-  name: rasa-plus
-  tag: ${variables.release}
-  pullSecrets:
-    - name: rasa-plus-pull-secret
-extraEnv:
-  - name: RASA_PRO_LICENSE
-    valueFrom:
-      secretKeyRef:
-        name: rasapro-license
-        key: licensekey`}
- -For the [Rasa X/Enterprise Helm Chart](https://github.com/RasaHQ/rasa-x-helm), update as follows: - -

-{`images:
-  imagePullSecrets:
-    - name: rasa-plus-pull-secret
-rasa:
-  command:
-  - rasa
-  name: europe-west3-docker.pkg.dev/rasa-releases/rasa-plus/rasa-plus
-  tag: ${variables.release}
-  extraEnv:
-    - name: RASA_PRO_LICENSE
-      valueFrom:
-        secretKeyRef:
-          name: rasapro-license
-          key: licensekey`}
diff --git a/docs/docs/deploy/deploy-rasa-pro-services.mdx b/docs/docs/deploy/deploy-rasa-pro-services.mdx index fbe24f493c43..eb7c93c716b8 100644 --- a/docs/docs/deploy/deploy-rasa-pro-services.mdx +++ b/docs/docs/deploy/deploy-rasa-pro-services.mdx @@ -90,7 +90,7 @@ These different services need to be run and configured to be able to communicate For a more complete walkthrough on how to manage the authentication credentials and licenses in a production environment, see the - [Rasa Plus Deployment Guide](./deploy-rasa-plus.mdx#step-1-image-pull-secret). + [Rasa Plus Deployment Guide](/docs/rasa/deploy/deploy-rasa#4-deploy-rasa-assistant) (select the **Rasa Plus** tab). ::: diff --git a/docs/docs/deploy/deploy-rasa.mdx b/docs/docs/deploy/deploy-rasa.mdx index 8483e2f43107..bb0e80aa54cc 100644 --- a/docs/docs/deploy/deploy-rasa.mdx +++ b/docs/docs/deploy/deploy-rasa.mdx @@ -3,11 +3,14 @@ id: deploy-rasa sidebar_label: "Deploy Rasa" title: "Deploy Rasa" description: Deploy a Rasa assistant on Kubernetes/Openshift using Helm -abstract: This page explains how to deploy Rasa using Helm. +abstract: This page explains how to deploy Rasa Open Source and Rasa Plus using Helm. --- import variables from './../variables.json'; +import RasaProLabel from '@theme/RasaProLabel'; +import RasaProBanner from '@theme/RasaProBanner'; + :::note The Rasa Helm Chart is open source and available in the [helm-charts repository](https://github.com/rasahq/helm-charts). @@ -161,20 +164,145 @@ You can find an example that shows how to download data files from a git reposit ### 4. Deploy Rasa Assistant + Run the following commands: + ```bash + kubectl version --short --client + + # The output should be similar to this + # Client Version: v1.19.11 + ``` + + ```bash + # Add the repository which contains the Rasa Helm Chart + helm repo add rasa https://helm.rasa.com + + # Deploy Rasa + helm install \ + --namespace \ + --values rasa-values.yml \ + \ + rasa/rasa + ``` + + + + + + + + + + + +To use the Rasa Plus image in a Helm deployment, you will need to substitute `rasa` with `rasa-plus` as +the image name. You will also need to pass your license in an env var +and [specify a pull secret for the image](#step-1-image-pull-secret). + +#### Step 1: image pull secret + +You will need to create a pull secret to access the `rasa-plus` image. You should have +been provided with a JSON credentials file to access the registry. +The file content should look similar to this: + +```json +{ + "type": "service_account", + "project_id": "rasa-platform", + "private_key_id": "somerandomcharacters", + "private_key": "-----BEGIN PRIVATE KEY-----\n\nPBTu1lAJDLo136ZGTdMKi+/TuRqrIMg/..................................................................................................................................\nsjAsuAH4Iz1XdfdenzGnyBZH\n-----END PRIVATE KEY-----\n", + "client_email": "company@rasa-platform.iam.gserviceaccount.com", + "client_id": "12345678910123", + "auth_uri": "https://accounts.google.com/o/oauth2/auth", + "token_uri": "https://accounts.google.com/o/oauth2/token", + "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs", + "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/company%40rasa-platform.iam.gserviceaccount.com" +} +``` + +Create the pull secret by running the corresponding command for your cluster environment: + ```bash -# Add the repository which contains the Rasa Helm Chart -helm repo add rasa https://helm.rasa.com - -# Deploy Rasa -helm install \ - --namespace \ - --values rasa-values.yml \ - \ - rasa/rasa +# kubernetes +kubectl --namespace \ + create secret docker-registry rasa-plus-pull-secret \ + --docker-server=gcr.io \ + --docker-email=company@rasa-platform.iam.gserviceaccount.com \ # this value needs to be updated with correct client email + --docker-username=_json_key \ + --docker-password="$(cat .json)" +``` + +```bash +# openshift +oc --namespace \ + create secret docker-registry rasa-plus-pull-secret \ + --docker-server=gcr.io \ + --docker-email=company@rasa-platform.iam.gserviceaccount.com \ # this value needs to be updated with correct client email + --docker-username=_json_key \ + --docker-password="$(cat .json)" +``` + +#### Step 2: store license in a secret + +Step a: Save the license string to a file, for example: +```sh +echo "" > license.txt +``` + +Step b: Create a secret to hold the license key: +```sh +kubectl -n create secret generic rasapro-license --from-file=licensekey=./license.txt +``` +Step c: Remove the file on disk, for example: +```sh +/bin/rm license.txt +``` + +#### Step 3: update `values.yml` + +For the [Rasa Helm Chart](https://github.com/RasaHQ/helm-charts/tree/main/charts/rasa), update as follows: + +```yaml +registry: europe-west3-docker.pkg.dev/rasa-releases/rasa-plus/rasa-plus +command: + - rasa +image: + name: rasa-plus + tag: 0.1.1 + pullSecrets: + - name: rasa-plus-pull-secret +extraEnv: + - name: RASA_PRO_LICENSE + valueFrom: + secretKeyRef: + name: rasapro-license + key: licensekey +``` + +For the [Rasa X/Enterprise Helm Chart](https://github.com/RasaHQ/rasa-x-helm), update as follows: + +```yaml +images: + imagePullSecrets: + - name: rasa-plus-pull-secret +rasa: + command: + - rasa + name: europe-west3-docker.pkg.dev/rasa-releases/rasa-plus/rasa-plus + tag: 0.1.1 + extraEnv: + - name: RASA_PRO_LICENSE + valueFrom: + secretKeyRef: + name: rasapro-license + key: licensekey ``` + + + + :::note **OpenShift only**: If the deployment fails and `oc get events` returns `1001 is not an allowed group spec.containers[0].securityContext.securityContext.runAsUser`, diff --git a/docs/docs/installation/rasa-pro/installation.mdx b/docs/docs/installation/rasa-pro/installation.mdx index 7cde74cfded2..6696e5355661 100644 --- a/docs/docs/installation/rasa-pro/installation.mdx +++ b/docs/docs/installation/rasa-pro/installation.mdx @@ -16,7 +16,7 @@ In this section you will learn how to install **Rasa Plus**, a drop-in replaceme To learn more about deployments, please visit the following sections: -- [Deploying Rasa Plus in production](../../deploy/deploy-rasa-plus) +- [Deploying Rasa Plus in production](../../deploy/deploy-rasa) - [Deploying Rasa Pro Services in production](../../deploy/deploy-rasa-pro-services) To learn more about compatibility between different versions of Rasa Plus and Rasa Pro Services, please see @@ -155,5 +155,5 @@ You can increase UDP packet size by running `sudo sysctl -w net.inet.udp.maxdgra Congratulations! You have now succesfully installed Rasa Plus on your developement environment. To learn more about production deployments, visit: -- [Deploying Rasa Plus in production](../../deploy/deploy-rasa-plus) +- [Deploying Rasa Plus in production](../../deploy/deploy-rasa) - [Deploying Rasa Pro Services in production](../../deploy/deploy-rasa-pro-services) diff --git a/docs/netlify.toml b/docs/netlify.toml index 469bb318807f..f4054eddd934 100644 --- a/docs/netlify.toml +++ b/docs/netlify.toml @@ -192,4 +192,8 @@ [[redirects]] from = "/docs/rasa/installation" - to = "/docs/rasa/installation/environment-set-up/" \ No newline at end of file + to = "/docs/rasa/installation/environment-set-up/" + + [[redirects]] + from = "/docs/rasa/deploy/deploy-rasa-plus/" + to = "/docs/rasa/deploy/deploy-rasa/" \ No newline at end of file diff --git a/docs/sidebars.js b/docs/sidebars.js index 80218f5cec48..aa9c04788b3d 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -69,7 +69,6 @@ module.exports = { 'deploy/introduction', 'deploy/deploy-rasa', 'deploy/deploy-action-server', - 'deploy/deploy-rasa-plus', 'deploy/deploy-rasa-pro-services', ], }, diff --git a/trivy-secret.yaml b/trivy-secret.yaml index d5072d0fd020..fd494d908477 100644 --- a/trivy-secret.yaml +++ b/trivy-secret.yaml @@ -1,4 +1,4 @@ allow-rules: - - id: docs/docs/deploy/deploy-rasa-plus.mdx + - id: docs/docs/deploy/deploy-rasa.mdx description: Example service account in docs - path: docs/docs/deploy/deploy-rasa-plus.mdx + path: docs/docs/deploy/deploy-rasa.mdx From 8179b19632388cd784f20f6970602b65de2426d8 Mon Sep 17 00:00:00 2001 From: Znat Date: Tue, 22 Nov 2022 10:51:16 +0100 Subject: [PATCH 8/9] Fix outdated action-server docs page [ATO-537] (#11779) --- .../action-server/deploy-action-server.mdx | 380 ----------------- docs/docs/deploy/deploy-action-server.mdx | 381 +++++++++++++++++- docs/netlify.toml | 11 +- docs/sidebars.js | 1 - 4 files changed, 380 insertions(+), 393 deletions(-) delete mode 100644 docs/docs/action-server/deploy-action-server.mdx diff --git a/docs/docs/action-server/deploy-action-server.mdx b/docs/docs/action-server/deploy-action-server.mdx deleted file mode 100644 index 667fba5f4d79..000000000000 --- a/docs/docs/action-server/deploy-action-server.mdx +++ /dev/null @@ -1,380 +0,0 @@ ---- -id: deploy-action-server -sidebar_label: Deploy Action Server -title: Deploy Rasa Action Server -abstract: This page explains how to build an Action Server Image and deploy a Rasa Action Server using Helm. The second of three steps in deploying your Rasa assistant. ---- - -import variables from '../variables.json'; - -:::note -The [Rasa Action Server chart](https://github.com/RasaHQ/helm-charts/tree/main/charts/rasa-action-server) is open source and available in the -[helm-charts repository](https://github.com/rasahq/helm-charts). -Please -[create an issue](https://github.com/RasaHQ/helm-charts/issues/new) in this -repository if you discover bugs or have suggestions for improvements. - -::: - -In the sections below you can learn how to deploy Rasa Action Server by using helm, and how to connect an Action Server deployment to a Rasa deployment. - -## Installation Requirements - -1. Check that you have installed the Kubernetes or OpenShift command line - interface (CLI). You can check this using the following command: - - - - - ```bash - kubectl version --short --client - - # The output should be similar to this - # Client Version: v1.19.11 - ``` - - - - - ```bash - oc version --client - - # The output should be similar to this - # Client Version: 4.7.13 - ``` - - - - - If this command resulted in an error, please install the - [Kubernetes CLI](https://kubernetes.io/docs/tasks/tools/install-kubectl/) or the - [OpenShift CLI](https://docs.openshift.com/container-platform/4.7/cli_reference/openshift_cli/getting-started-cli.html#installing-openshift-cli) - depending on the cluster you’re using. - -2. Make sure that the Kubernetes / OpenShift CLI is correctly connected to - your cluster. You can do so by using the following commands: - - - - - ```bash - kubectl version --short - - # The output should be similar to this - # Client Version: v1.19.11 - # Server Version: v1.19.10 - ``` - - - - - ```bash - oc version - - # The output should be similar to this - # Client Version: 4.7.13 - # Kubernetes Version: v1.20.0+df9c838 - ``` - - - - - If you get an error when executing the command, you are not connected to your - cluster. To get the command to connect to the cluster please consult your cluster’s - admin or the documentation of your cloud provider. - -3. Make sure you have the [Helm CLI](https://helm.sh/docs/intro/install/) - installed. To check this, run: - - ```bash - helm version --short - - # The output should be similar to this - # v3.6.0+g7f2df64 - ``` - - If this command leads to an error, please install the - [Helm CLI](https://helm.sh/docs/intro/install/). - - In case you are using a version `<3.5` of Helm, please update to Helm version - `>=3.5`. - -## 1. Installation - -### a. Create Namespace - -We recommend installing Rasa Action Server in a separate -[namespace](https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/) -to avoid interfering with existing cluster deployments. To create a new namespace -run the following command: - - - - - ```bash - kubectl create namespace - ``` - - - - - ```bash - oc create namespace - ``` - - - - -### b. Deploy Rasa Action Server - -Run the following commands: - -```bash -# Add the repository which contains the Rasa Action Server Helm chart -helm repo add rasa https://helm.rasa.com - -# Deploy Rasa Action Server -helm install \ - --namespace \ - \ - rasa/rasa-action-server -``` - - -### c. Access Rasa Action Server - -By default the Rasa Action Server deployment is exposed via the `rasa-action-server` (``) service and accessible only within a Kubernetes cluster. You can get -the IP address using this command: - - - - - ```bash - export SERVICE_PORT=$(kubectl get --namespace -o jsonpath="{.spec.ports[0].port}" services ) - kubectl port-forward --namespace svc/ ${SERVICE_PORT}:${SERVICE_PORT} & - ``` - - - - - ```bash - export SERVICE_PORT=$(oc get --namespace -o jsonpath="{.spec.ports[0].port}" services ) - oc port-forward --namespace svc/ ${SERVICE_PORT}:${SERVICE_PORT} & - ``` - - - - -You can then access the deployment on `http://127.0.0.1:${SERVICE_PORT}` - -:::note -The Rasa Action Server Helm chart uses the [rasa-x-demo](https://github.com/RasaHQ/rasa-x-demo) Docker image as default. In the [Building an Action Server Image](#building-an-action-server-image) -you can learn how to build and use your custom Action Server image. -::: - -## Building an Action Server Image - -If you build an image that includes your action code and store it in a container registry, you can run it -as part of your deployment, without having to move code between servers. -In addition, you can add any additional dependencies of systems or Python libraries -that are part of your action code but not included in the base `rasa/rasa-sdk` image. - -### Automating your Action Server Image Builds - -In addition to a manually creating a new Action Server image, you can use the [Rasa Action Server GitHub Action](https://github.com/RasaHQ/action-server-gha) to automate image builds. -If GitHub Actions are new to you, it might be helpful to get familiar with [GitHub Actions Documentation](https://docs.github.com/en/actions). - -The following steps assume that you already created a GitHub repository and you have a DockerHub account. - -To create a workflow for building and pushing a Docker image into a DockerHub registry: - -1. Add GitHub Secrets with your DockerHub login name and password. - You can find details on how to create encrypted secrets for a repository - in the [Github docs](https://docs.github.com/en/actions/configuring-and-managing-workflows/creating-and-storing-encrypted-secrets#creating-encrypted-secrets-for-a-repository) - - The example uses the following secrets: - - `DOCKER_HUB_LOGIN` - a login name for DockerHub - - `DOCKER_HUB_PASSWORD` - a password for DockerHub - -2. In your GitHub repository create a file [`.github/workflows/action_server.yml`](https://github.com/RasaHQ/action-server-gha/blob/master/examples/action_server.yml). - -The GitHub Action workflow below builds a new docker image every time files inside the `actions/` directory have changed and the changes are pushed into the `main` branch. - -```yaml -on: - push: - branches: - - main - paths: - - 'actions/**' - -jobs: - build_and_deploy: - runs-on: ubuntu-latest - name: Build Action Server image and upgrade Rasa X/Enterprise deployment - steps: - - name: Checkout repository - uses: actions/checkout@v2 - - - id: action_server - name: Build an action server with custom actions - uses: RasaHQ/action-server-gha@main - # Full list of parameters: https://github.com/RasaHQ/action-server-gha/tree/master#input-arguments - with: - docker_image_name: 'account_username/repository_name' - docker_registry_login: ${{ secrets.DOCKER_HUB_LOGIN }} - docker_registry_password: ${{ secrets.DOCKER_HUB_PASSWORD }} - # More details about github context: - # https://docs.github.com/en/actions/reference/context-and-expression-syntax-for-github-actions#github-context - # - # github.sha - The commit SHA that triggered the workflow run - docker_image_tag: ${{ github.sha }} -``` - -3. Push your changes to the `main` branch. After changes are pushed, the workflow will build and push a new image into the DockerHub registry. - -4. Now, you can use your new brand docker image. - -5. You can also extend your workflow, so that you do not have to manually update your Rasa X/Enterprise deployment. The example below shows how to extend your workflow with an additional step that updates a Rasa X/Enterprise Helm Chart deployment. - -```yaml -on: - push: - branches: - - main - -jobs: - build_and_deploy: - runs-on: ubuntu-latest - name: Build Action Server image and upgrade Rasa X/Enterprise deployment - steps: - [..] - - # This step shows only the example of output parameter usage - # and it's not focused on deployment itself. - - name: "Upgrade a Rasa Action Server deployment" - run: | - helm upgrade --install --reuse-values \ - --set image.name=${{ steps.action_server.outputs.docker_image_name }} \ - --set image.tag=${{ steps.action_server.outputs.docker_image_tag }} rasa-action-server rasa/rasa-action-server -``` - -As you can see it's possible to use output variables from the `action_server` step. The `steps.action_server.outputs.docker_image_name` variable returns -a Docker image name and the `steps.action_server.outputs.docker_image_tag` variable returns a Docker image tag. - -More examples on how to use and customize [Rasa GitHub Actions](https://github.com/RasaHQ/action-server-gha) you can find in the [Rasa GitHub Actions](https://github.com/RasaHQ/action-server-gha) repository. - -#### Manually Building an Action Server - -To create your image: - -1. Make sure your actions are defined in `actions/actions.py`. The `rasa/rasa-sdk` - image will automatically look for the actions in this file. - -2. If your actions have any extra dependencies, create a list of them in a file, - `actions/requirements-actions.txt`. - -3. Create a file named `Dockerfile` in your project directory, - in which you'll extend the official SDK image, copy over your code, and add any custom dependencies (if necessary). - For example: - - 

-   {`# Extend the official Rasa SDK image
-   FROM rasa/rasa-sdk:${variables.rasa_sdk_version}
-
-   # Use subdirectory as working directory
-   WORKDIR /app
-
-   # Copy any additional custom requirements, if necessary (uncomment next line)
-   # COPY actions/requirements-actions.txt ./
-
-   # Change back to root user to install dependencies
-   USER root
-
-   # Install extra requirements for actions code, if necessary (uncomment next line)
-   # RUN pip install -r requirements-actions.txt
-
-   # Copy actions folder to working directory
-   COPY ./actions /app/actions
-
-   # By best practices, don't run the code with root user
-   USER 1001`}
- -You can then build the image via the following command: - -```bash -docker build . -t /: -``` - -The `` should reference how this image will be different from others. For -example, you could version or date your tags, as well as create different tags that have different code for production -and development servers. You should create a new tag any time you update your code and want to re-deploy it. - -### Using your Custom Action Server Image - -If you're building this image to make it available from another server, you should push the image to a cloud repository. - -This documentation assumes you are pushing your images to [DockerHub](https://hub.docker.com/). -DockerHub will let you host multiple public repositories and -one private repository for free. Be sure to first [create an account](https://hub.docker.com/signup/) -and [create a repository](https://hub.docker.com/signup/) to store your images. You could also push images to -a different Docker registry, such as [Google Container Registry](https://cloud.google.com/container-registry), -[Amazon Elastic Container Registry](https://aws.amazon.com/ecr/), or -[Azure Container Registry](https://azure.microsoft.com/en-us/services/container-registry/). - -You can push the image to DockerHub via: - -```bash -docker login --username --password -docker push /: -``` - -To authenticate and push images to a different container registry, please refer to the documentation of -your chosen container registry. - - -## Setting a Custom Action Server Image - -In order to use a Custom Action Server image along with the Rasa Action Server deployment, you have to -use the following values for your deployment. - -```yaml -# values.yaml -image: - name: "image_name" - tag: "image_tag" -``` - -then upgrade your deployment by executing the command: - -```text -helm upgrade --namespace --reuse-values \ - -f values.yaml rasa/rasa-action-server -``` - -## 2. Connect Rasa Action Server to a Rasa deployment - -If you have deployed your assistant using the Rasa Helm chart, and you have deployed your Rasa Action Server as well. -Now it's time to connect them together. You can do this easily by following the steps: - -a. Create a `rasa-values.yaml` file which will include configuration for the Rasa deployment. - - ```yaml - # rasa-values.yaml - rasa-action-server: - external: - # -- Determine if external URL is used - enabled: true - # -- URL to Rasa Action Server - url: "http://rasa-action-server/webhook" - ``` - - The configuration above tells Rasa which Rasa Action Server to use. In the example the `http://rasa-action-server/webhook` URL is used, - the URL indicates that Rasa Action Server is deployed with release name `rasa-action-server`, and is located in the same namespace as Rasa server deployment. - -b. Upgrade the Rasa deployment - - ```text - helm upgrade -n --reuse-values -f rasa-values.yaml \ - rasa/rasa - ``` diff --git a/docs/docs/deploy/deploy-action-server.mdx b/docs/docs/deploy/deploy-action-server.mdx index 9a0c4f3bdccd..667fba5f4d79 100644 --- a/docs/docs/deploy/deploy-action-server.mdx +++ b/docs/docs/deploy/deploy-action-server.mdx @@ -1,17 +1,380 @@ --- id: deploy-action-server -sidebar_label: "Deploy Action Server" -title: "Deploy Action Server" -description: Deploy and connect to your custom action server -abstract: This page shows you where to find how to deploy Rasa Action Server and how to build a custom Docker image. +sidebar_label: Deploy Action Server +title: Deploy Rasa Action Server +abstract: This page explains how to build an Action Server Image and deploy a Rasa Action Server using Helm. The second of three steps in deploying your Rasa assistant. --- -import variables from './../variables.json'; +import variables from '../variables.json'; -## a. Deploy Action Server +:::note +The [Rasa Action Server chart](https://github.com/RasaHQ/helm-charts/tree/main/charts/rasa-action-server) is open source and available in the +[helm-charts repository](https://github.com/rasahq/helm-charts). +Please +[create an issue](https://github.com/RasaHQ/helm-charts/issues/new) in this +repository if you discover bugs or have suggestions for improvements. -Visit the [Rasa Action Server docs](https://rasa.com/docs/action-server/deploy-action-server#a-installation) to learn how to [build an Action Server image](https://rasa.com/docs/action-server/deploy-action-server#building-an-action-server-image) and how to deploy an Action Server using Helm. +::: -## b. Connect Rasa Action Server with Rasa deployment +In the sections below you can learn how to deploy Rasa Action Server by using helm, and how to connect an Action Server deployment to a Rasa deployment. -Visit the [Connect Rasa Action Server with Rasa deployment](https://rasa.com/docs/action-server/deploy-action-server#b-connect-rasa-action-server-with-rasa-open-source-deployment) section to learn how to connect a Rasa Action Server deployment with Rasa deployment. +## Installation Requirements + +1. Check that you have installed the Kubernetes or OpenShift command line + interface (CLI). You can check this using the following command: + + + + + ```bash + kubectl version --short --client + + # The output should be similar to this + # Client Version: v1.19.11 + ``` + + + + + ```bash + oc version --client + + # The output should be similar to this + # Client Version: 4.7.13 + ``` + + + + + If this command resulted in an error, please install the + [Kubernetes CLI](https://kubernetes.io/docs/tasks/tools/install-kubectl/) or the + [OpenShift CLI](https://docs.openshift.com/container-platform/4.7/cli_reference/openshift_cli/getting-started-cli.html#installing-openshift-cli) + depending on the cluster you’re using. + +2. Make sure that the Kubernetes / OpenShift CLI is correctly connected to + your cluster. You can do so by using the following commands: + + + + + ```bash + kubectl version --short + + # The output should be similar to this + # Client Version: v1.19.11 + # Server Version: v1.19.10 + ``` + + + + + ```bash + oc version + + # The output should be similar to this + # Client Version: 4.7.13 + # Kubernetes Version: v1.20.0+df9c838 + ``` + + + + + If you get an error when executing the command, you are not connected to your + cluster. To get the command to connect to the cluster please consult your cluster’s + admin or the documentation of your cloud provider. + +3. Make sure you have the [Helm CLI](https://helm.sh/docs/intro/install/) + installed. To check this, run: + + ```bash + helm version --short + + # The output should be similar to this + # v3.6.0+g7f2df64 + ``` + + If this command leads to an error, please install the + [Helm CLI](https://helm.sh/docs/intro/install/). + + In case you are using a version `<3.5` of Helm, please update to Helm version + `>=3.5`. + +## 1. Installation + +### a. Create Namespace + +We recommend installing Rasa Action Server in a separate +[namespace](https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/) +to avoid interfering with existing cluster deployments. To create a new namespace +run the following command: + + + + + ```bash + kubectl create namespace + ``` + + + + + ```bash + oc create namespace + ``` + + + + +### b. Deploy Rasa Action Server + +Run the following commands: + +```bash +# Add the repository which contains the Rasa Action Server Helm chart +helm repo add rasa https://helm.rasa.com + +# Deploy Rasa Action Server +helm install \ + --namespace \ + \ + rasa/rasa-action-server +``` + + +### c. Access Rasa Action Server + +By default the Rasa Action Server deployment is exposed via the `rasa-action-server` (``) service and accessible only within a Kubernetes cluster. You can get +the IP address using this command: + + + + + ```bash + export SERVICE_PORT=$(kubectl get --namespace -o jsonpath="{.spec.ports[0].port}" services ) + kubectl port-forward --namespace svc/ ${SERVICE_PORT}:${SERVICE_PORT} & + ``` + + + + + ```bash + export SERVICE_PORT=$(oc get --namespace -o jsonpath="{.spec.ports[0].port}" services ) + oc port-forward --namespace svc/ ${SERVICE_PORT}:${SERVICE_PORT} & + ``` + + + + +You can then access the deployment on `http://127.0.0.1:${SERVICE_PORT}` + +:::note +The Rasa Action Server Helm chart uses the [rasa-x-demo](https://github.com/RasaHQ/rasa-x-demo) Docker image as default. In the [Building an Action Server Image](#building-an-action-server-image) +you can learn how to build and use your custom Action Server image. +::: + +## Building an Action Server Image + +If you build an image that includes your action code and store it in a container registry, you can run it +as part of your deployment, without having to move code between servers. +In addition, you can add any additional dependencies of systems or Python libraries +that are part of your action code but not included in the base `rasa/rasa-sdk` image. + +### Automating your Action Server Image Builds + +In addition to a manually creating a new Action Server image, you can use the [Rasa Action Server GitHub Action](https://github.com/RasaHQ/action-server-gha) to automate image builds. +If GitHub Actions are new to you, it might be helpful to get familiar with [GitHub Actions Documentation](https://docs.github.com/en/actions). + +The following steps assume that you already created a GitHub repository and you have a DockerHub account. + +To create a workflow for building and pushing a Docker image into a DockerHub registry: + +1. Add GitHub Secrets with your DockerHub login name and password. + You can find details on how to create encrypted secrets for a repository + in the [Github docs](https://docs.github.com/en/actions/configuring-and-managing-workflows/creating-and-storing-encrypted-secrets#creating-encrypted-secrets-for-a-repository) + + The example uses the following secrets: + - `DOCKER_HUB_LOGIN` - a login name for DockerHub + - `DOCKER_HUB_PASSWORD` - a password for DockerHub + +2. In your GitHub repository create a file [`.github/workflows/action_server.yml`](https://github.com/RasaHQ/action-server-gha/blob/master/examples/action_server.yml). + +The GitHub Action workflow below builds a new docker image every time files inside the `actions/` directory have changed and the changes are pushed into the `main` branch. + +```yaml +on: + push: + branches: + - main + paths: + - 'actions/**' + +jobs: + build_and_deploy: + runs-on: ubuntu-latest + name: Build Action Server image and upgrade Rasa X/Enterprise deployment + steps: + - name: Checkout repository + uses: actions/checkout@v2 + + - id: action_server + name: Build an action server with custom actions + uses: RasaHQ/action-server-gha@main + # Full list of parameters: https://github.com/RasaHQ/action-server-gha/tree/master#input-arguments + with: + docker_image_name: 'account_username/repository_name' + docker_registry_login: ${{ secrets.DOCKER_HUB_LOGIN }} + docker_registry_password: ${{ secrets.DOCKER_HUB_PASSWORD }} + # More details about github context: + # https://docs.github.com/en/actions/reference/context-and-expression-syntax-for-github-actions#github-context + # + # github.sha - The commit SHA that triggered the workflow run + docker_image_tag: ${{ github.sha }} +``` + +3. Push your changes to the `main` branch. After changes are pushed, the workflow will build and push a new image into the DockerHub registry. + +4. Now, you can use your new brand docker image. + +5. You can also extend your workflow, so that you do not have to manually update your Rasa X/Enterprise deployment. The example below shows how to extend your workflow with an additional step that updates a Rasa X/Enterprise Helm Chart deployment. + +```yaml +on: + push: + branches: + - main + +jobs: + build_and_deploy: + runs-on: ubuntu-latest + name: Build Action Server image and upgrade Rasa X/Enterprise deployment + steps: + [..] + + # This step shows only the example of output parameter usage + # and it's not focused on deployment itself. + - name: "Upgrade a Rasa Action Server deployment" + run: | + helm upgrade --install --reuse-values \ + --set image.name=${{ steps.action_server.outputs.docker_image_name }} \ + --set image.tag=${{ steps.action_server.outputs.docker_image_tag }} rasa-action-server rasa/rasa-action-server +``` + +As you can see it's possible to use output variables from the `action_server` step. The `steps.action_server.outputs.docker_image_name` variable returns +a Docker image name and the `steps.action_server.outputs.docker_image_tag` variable returns a Docker image tag. + +More examples on how to use and customize [Rasa GitHub Actions](https://github.com/RasaHQ/action-server-gha) you can find in the [Rasa GitHub Actions](https://github.com/RasaHQ/action-server-gha) repository. + +#### Manually Building an Action Server + +To create your image: + +1. Make sure your actions are defined in `actions/actions.py`. The `rasa/rasa-sdk` + image will automatically look for the actions in this file. + +2. If your actions have any extra dependencies, create a list of them in a file, + `actions/requirements-actions.txt`. + +3. Create a file named `Dockerfile` in your project directory, + in which you'll extend the official SDK image, copy over your code, and add any custom dependencies (if necessary). + For example: + + 

+   {`# Extend the official Rasa SDK image
+   FROM rasa/rasa-sdk:${variables.rasa_sdk_version}
+
+   # Use subdirectory as working directory
+   WORKDIR /app
+
+   # Copy any additional custom requirements, if necessary (uncomment next line)
+   # COPY actions/requirements-actions.txt ./
+
+   # Change back to root user to install dependencies
+   USER root
+
+   # Install extra requirements for actions code, if necessary (uncomment next line)
+   # RUN pip install -r requirements-actions.txt
+
+   # Copy actions folder to working directory
+   COPY ./actions /app/actions
+
+   # By best practices, don't run the code with root user
+   USER 1001`}
+ +You can then build the image via the following command: + +```bash +docker build . -t /: +``` + +The `` should reference how this image will be different from others. For +example, you could version or date your tags, as well as create different tags that have different code for production +and development servers. You should create a new tag any time you update your code and want to re-deploy it. + +### Using your Custom Action Server Image + +If you're building this image to make it available from another server, you should push the image to a cloud repository. + +This documentation assumes you are pushing your images to [DockerHub](https://hub.docker.com/). +DockerHub will let you host multiple public repositories and +one private repository for free. Be sure to first [create an account](https://hub.docker.com/signup/) +and [create a repository](https://hub.docker.com/signup/) to store your images. You could also push images to +a different Docker registry, such as [Google Container Registry](https://cloud.google.com/container-registry), +[Amazon Elastic Container Registry](https://aws.amazon.com/ecr/), or +[Azure Container Registry](https://azure.microsoft.com/en-us/services/container-registry/). + +You can push the image to DockerHub via: + +```bash +docker login --username --password +docker push /: +``` + +To authenticate and push images to a different container registry, please refer to the documentation of +your chosen container registry. + + +## Setting a Custom Action Server Image + +In order to use a Custom Action Server image along with the Rasa Action Server deployment, you have to +use the following values for your deployment. + +```yaml +# values.yaml +image: + name: "image_name" + tag: "image_tag" +``` + +then upgrade your deployment by executing the command: + +```text +helm upgrade --namespace --reuse-values \ + -f values.yaml rasa/rasa-action-server +``` + +## 2. Connect Rasa Action Server to a Rasa deployment + +If you have deployed your assistant using the Rasa Helm chart, and you have deployed your Rasa Action Server as well. +Now it's time to connect them together. You can do this easily by following the steps: + +a. Create a `rasa-values.yaml` file which will include configuration for the Rasa deployment. + + ```yaml + # rasa-values.yaml + rasa-action-server: + external: + # -- Determine if external URL is used + enabled: true + # -- URL to Rasa Action Server + url: "http://rasa-action-server/webhook" + ``` + + The configuration above tells Rasa which Rasa Action Server to use. In the example the `http://rasa-action-server/webhook` URL is used, + the URL indicates that Rasa Action Server is deployed with release name `rasa-action-server`, and is located in the same namespace as Rasa server deployment. + +b. Upgrade the Rasa deployment + + ```text + helm upgrade -n --reuse-values -f rasa-values.yaml \ + rasa/rasa + ``` diff --git a/docs/netlify.toml b/docs/netlify.toml index f4054eddd934..956b79eac95f 100644 --- a/docs/netlify.toml +++ b/docs/netlify.toml @@ -194,6 +194,11 @@ from = "/docs/rasa/installation" to = "/docs/rasa/installation/environment-set-up/" - [[redirects]] - from = "/docs/rasa/deploy/deploy-rasa-plus/" - to = "/docs/rasa/deploy/deploy-rasa/" \ No newline at end of file +[[redirects]] +from = "/docs/rasa/deploy/deploy-rasa-plus/" +to = "/docs/rasa/deploy/deploy-rasa/" + + +[[redirects]] +from = "/docs/rasa/action-server/deploy-action-server" +to = "/docs/rasa/deploy/deploy-action-server/" diff --git a/docs/sidebars.js b/docs/sidebars.js index aa9c04788b3d..cb21ff925aff 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -197,7 +197,6 @@ module.exports = { } ], }, - 'action-server/deploy-action-server', ]}, ] }, From 95d44dc7adfc0587c9ed6c7d61f63867722a4fe4 Mon Sep 17 00:00:00 2001 From: Anca Lita <27920906+ancalita@users.noreply.github.com> Date: Mon, 28 Nov 2022 12:09:10 +0000 Subject: [PATCH 9/9] Add upgrading docs for Rasa Pro Services (#11799) * add migration docs for rasa pro services * add changelog entry --- changelog/11799.doc.md | 1 + docs/docs/deploy/deploy-rasa-pro-services.mdx | 15 +++++++++++++++ 2 files changed, 16 insertions(+) create mode 100644 changelog/11799.doc.md diff --git a/changelog/11799.doc.md b/changelog/11799.doc.md new file mode 100644 index 000000000000..c8c9bd49d438 --- /dev/null +++ b/changelog/11799.doc.md @@ -0,0 +1 @@ +Add documentation for Rasa Pro Services upgrades. diff --git a/docs/docs/deploy/deploy-rasa-pro-services.mdx b/docs/docs/deploy/deploy-rasa-pro-services.mdx index eb7c93c716b8..a5382783b7b1 100644 --- a/docs/docs/deploy/deploy-rasa-pro-services.mdx +++ b/docs/docs/deploy/deploy-rasa-pro-services.mdx @@ -159,3 +159,18 @@ The environment variables need to be configured upon startup of the Rasa Pro docker container. Using Kafka `truststores` and `keystores` is currently not supported. + + +### Upgrading Versions + +To upgrade to the latest version of Rasa Pro Services, you must follow these steps: + +1. Read the changelog documentation on breaking changes. +2. Download a new docker container and run it. + +:::note Container Start-up +Note that the container might take some time to start-up as it is running +database schema migrations as part of its start-up. + +If the migrations have failed, the container will be shut down. +:::