diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
new file mode 100644
index 0000000000000000000000000000000000000000..09dc40d305813f3444d710896bd0ca4af484d6bf
--- /dev/null
+++ b/.github/workflows/test.yml
@@ -0,0 +1,41 @@
+name: Test
+
+on:
+ push:
+ branches:
+ - main
+ pull_request:
+
+env:
+ POETRY_VERSION: "1.5.1"
+
+jobs:
+ build:
+ runs-on: ubuntu-latest
+ strategy:
+ matrix:
+ python-version:
+ - "3.11"
+ steps:
+ - uses: actions/checkout@v4
+ - name: Cache Poetry
+ uses: actions/cache@v3
+ with:
+ path: ~/.poetry
+ key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
+ restore-keys: |
+ ${{ runner.os }}-poetry-
+ - name: Install poetry
+ run: |
+ pipx install poetry==$POETRY_VERSION
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: actions/setup-python@v4
+ with:
+ python-version: ${{ matrix.python-version }}
+ cache: poetry
+ - name: Install dependencies
+ run: |
+ poetry install
+ - name: Pytest
+ run: |
+ make test
diff --git a/Makefile b/Makefile
index 6fcc35a18cc71e9e22b0b8793f1789aa589a7d0c..372221c63b5f6ba50b28a1c171645b44d4e94f0e 100644
--- a/Makefile
+++ b/Makefile
@@ -9,3 +9,6 @@ lint_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d main | grep
lint lint_diff:
poetry run black $(PYTHON_FILES) --check
poetry run ruff .
+
+test:
+ poetry run pytest -vv --cov=semantic_router --cov-report=term-missing --cov-fail-under=100
diff --git a/poetry.lock b/poetry.lock
index a2617c1c1dd5aaacf48d1efc23c5412f7af5f947..1c56439f325b9690f57395b76d6ae13a7f68514b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
name = "aiohttp"
@@ -468,6 +468,73 @@ traitlets = ">=4"
[package.extras]
test = ["pytest"]
+[[package]]
+name = "coverage"
+version = "7.3.2"
+description = "Code coverage measurement for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "coverage-7.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d872145f3a3231a5f20fd48500274d7df222e291d90baa2026cc5152b7ce86bf"},
+ {file = "coverage-7.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:310b3bb9c91ea66d59c53fa4989f57d2436e08f18fb2f421a1b0b6b8cc7fffda"},
+ {file = "coverage-7.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f47d39359e2c3779c5331fc740cf4bce6d9d680a7b4b4ead97056a0ae07cb49a"},
+ {file = "coverage-7.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aa72dbaf2c2068404b9870d93436e6d23addd8bbe9295f49cbca83f6e278179c"},
+ {file = "coverage-7.3.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:beaa5c1b4777f03fc63dfd2a6bd820f73f036bfb10e925fce067b00a340d0f3f"},
+ {file = "coverage-7.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:dbc1b46b92186cc8074fee9d9fbb97a9dd06c6cbbef391c2f59d80eabdf0faa6"},
+ {file = "coverage-7.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:315a989e861031334d7bee1f9113c8770472db2ac484e5b8c3173428360a9148"},
+ {file = "coverage-7.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:d1bc430677773397f64a5c88cb522ea43175ff16f8bfcc89d467d974cb2274f9"},
+ {file = "coverage-7.3.2-cp310-cp310-win32.whl", hash = "sha256:a889ae02f43aa45032afe364c8ae84ad3c54828c2faa44f3bfcafecb5c96b02f"},
+ {file = "coverage-7.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:c0ba320de3fb8c6ec16e0be17ee1d3d69adcda99406c43c0409cb5c41788a611"},
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+ {file = "coverage-7.3.2-cp39-cp39-win32.whl", hash = "sha256:d1c88ec1a7ff4ebca0219f5b1ef863451d828cccf889c173e1253aa84b1e07ce"},
+ {file = "coverage-7.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b4767da59464bb593c07afceaddea61b154136300881844768037fd5e859353f"},
+ {file = "coverage-7.3.2-pp38.pp39.pp310-none-any.whl", hash = "sha256:ae97af89f0fbf373400970c0a21eef5aa941ffeed90aee43650b81f7d7f47637"},
+ {file = "coverage-7.3.2.tar.gz", hash = "sha256:be32ad29341b0170e795ca590e1c07e81fc061cb5b10c74ce7203491484404ef"},
+]
+
+[package.dependencies]
+tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
+
+[package.extras]
+toml = ["tomli"]
+
[[package]]
name = "debugpy"
version = "1.8.0"
@@ -674,6 +741,17 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker
perf = ["ipython"]
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+[[package]]
+name = "iniconfig"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
+ {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+]
+
[[package]]
name = "ipykernel"
version = "6.26.0"
@@ -924,6 +1002,51 @@ files = [
{file = "nest_asyncio-1.5.8.tar.gz", hash = "sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb"},
]
+[[package]]
+name = "numpy"
+version = "1.26.2"
+description = "Fundamental package for array computing in Python"
+optional = false
+python-versions = ">=3.9"
+files = [
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+ {file = "numpy-1.26.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4eb8df4bf8d3d90d091e0146f6c28492b0be84da3e409ebef54349f71ed271ef"},
+ {file = "numpy-1.26.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1a13860fdcd95de7cf58bd6f8bc5a5ef81c0b0625eb2c9a783948847abbef2c2"},
+ {file = "numpy-1.26.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64308ebc366a8ed63fd0bf426b6a9468060962f1a4339ab1074c228fa6ade8e3"},
+ {file = "numpy-1.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baf8aab04a2c0e859da118f0b38617e5ee65d75b83795055fb66c0d5e9e9b818"},
+ {file = "numpy-1.26.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d73a3abcac238250091b11caef9ad12413dab01669511779bc9b29261dd50210"},
+ {file = "numpy-1.26.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:b361d369fc7e5e1714cf827b731ca32bff8d411212fccd29ad98ad622449cc36"},
+ {file = "numpy-1.26.2-cp39-cp39-win32.whl", hash = "sha256:bd3f0091e845164a20bd5a326860c840fe2af79fa12e0469a12768a3ec578d80"},
+ {file = "numpy-1.26.2-cp39-cp39-win_amd64.whl", hash = "sha256:2beef57fb031dcc0dc8fa4fe297a742027b954949cabb52a2a376c144e5e6060"},
+ {file = "numpy-1.26.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:1cc3d5029a30fb5f06704ad6b23b35e11309491c999838c31f124fee32107c79"},
+ {file = "numpy-1.26.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94cc3c222bb9fb5a12e334d0479b97bb2df446fbe622b470928f5284ffca3f8d"},
+ {file = "numpy-1.26.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fe6b44fb8fcdf7eda4ef4461b97b3f63c466b27ab151bec2366db8b197387841"},
+ {file = "numpy-1.26.2.tar.gz", hash = "sha256:f65738447676ab5777f11e6bbbdb8ce11b785e105f690bc45966574816b6d3ea"},
+]
+
[[package]]
name = "openai"
version = "0.28.1"
@@ -1012,6 +1135,21 @@ files = [
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
+[[package]]
+name = "pluggy"
+version = "1.3.0"
+description = "plugin and hook calling mechanisms for python"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
+ {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"},
+]
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+testing = ["pytest", "pytest-benchmark"]
+
[[package]]
name = "prompt-toolkit"
version = "3.0.41"
@@ -1156,6 +1294,63 @@ files = [
[package.extras]
plugins = ["importlib-metadata"]
+[[package]]
+name = "pytest"
+version = "7.4.3"
+description = "pytest: simple powerful testing with Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "pytest-7.4.3-py3-none-any.whl", hash = "sha256:0d009c083ea859a71b76adf7c1d502e4bc170b80a8ef002da5806527b9591fac"},
+ {file = "pytest-7.4.3.tar.gz", hash = "sha256:d989d136982de4e3b29dabcc838ad581c64e8ed52c11fbe86ddebd9da0818cd5"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<2.0"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+
+[[package]]
+name = "pytest-cov"
+version = "4.1.0"
+description = "Pytest plugin for measuring coverage."
+optional = false
+python-versions = ">=3.7"
+files = [
+ {file = "pytest-cov-4.1.0.tar.gz", hash = "sha256:3904b13dfbfec47f003b8e77fd5b589cd11904a21ddf1ab38a64f204d6a10ef6"},
+ {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
+]
+
+[package.dependencies]
+coverage = {version = ">=5.2.1", extras = ["toml"]}
+pytest = ">=4.6"
+
+[package.extras]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
+
+[[package]]
+name = "pytest-mock"
+version = "3.12.0"
+description = "Thin-wrapper around the mock package for easier use with pytest"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "pytest-mock-3.12.0.tar.gz", hash = "sha256:31a40f038c22cad32287bb43932054451ff5583ff094bca6f675df2f8bc1a6e9"},
+ {file = "pytest_mock-3.12.0-py3-none-any.whl", hash = "sha256:0972719a7263072da3a21c7f4773069bcc7486027d7e8e1f81d98a47e701bc4f"},
+]
+
+[package.dependencies]
+pytest = ">=5.0"
+
+[package.extras]
+dev = ["pre-commit", "pytest-asyncio", "tox"]
+
[[package]]
name = "python-dateutil"
version = "2.8.2"
@@ -1345,6 +1540,48 @@ files = [
{file = "ruff-0.1.5.tar.gz", hash = "sha256:5cbec0ef2ae1748fb194f420fb03fb2c25c3258c86129af7172ff8f198f125ab"},
]
+[[package]]
+name = "scipy"
+version = "1.11.4"
+description = "Fundamental algorithms for scientific computing in Python"
+optional = false
+python-versions = ">=3.9"
+files = [
+ {file = "scipy-1.11.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710"},
+ {file = "scipy-1.11.4-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41"},
+ {file = "scipy-1.11.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4"},
+ {file = "scipy-1.11.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56"},
+ {file = "scipy-1.11.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446"},
+ {file = "scipy-1.11.4-cp310-cp310-win_amd64.whl", hash = "sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3"},
+ {file = "scipy-1.11.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be"},
+ {file = "scipy-1.11.4-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8"},
+ {file = "scipy-1.11.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c"},
+ {file = "scipy-1.11.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff"},
+ {file = "scipy-1.11.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993"},
+ {file = "scipy-1.11.4-cp311-cp311-win_amd64.whl", hash = "sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd"},
+ {file = "scipy-1.11.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6"},
+ {file = "scipy-1.11.4-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d"},
+ {file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4"},
+ {file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79"},
+ {file = "scipy-1.11.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660"},
+ {file = "scipy-1.11.4-cp312-cp312-win_amd64.whl", hash = "sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97"},
+ {file = "scipy-1.11.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7"},
+ {file = "scipy-1.11.4-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec"},
+ {file = "scipy-1.11.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea"},
+ {file = "scipy-1.11.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937"},
+ {file = "scipy-1.11.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd"},
+ {file = "scipy-1.11.4-cp39-cp39-win_amd64.whl", hash = "sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65"},
+ {file = "scipy-1.11.4.tar.gz", hash = "sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa"},
+]
+
+[package.dependencies]
+numpy = ">=1.21.6,<1.28.0"
+
+[package.extras]
+dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
+doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
+test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+
[[package]]
name = "six"
version = "1.16.0"
@@ -1584,4 +1821,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
-content-hash = "7955e07ea098c2e8b29421733eb5ec6c06cbbc5bf64bd88451baa1a42c71e6b2"
+content-hash = "d00b433ea2ff03e4ba01033022d4c7f4bf1a824e94cd8138193cc86af8780805"
diff --git a/pyproject.toml b/pyproject.toml
index cb351d3f56c518dec9a3dfc9c7c0b3426a7f61ed..d513ba62adab280e9c6a7c68208dd651137b8972 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,8 @@ description = "Super fast semantic router for AI decision making"
authors = [
"James Briggs <james@aurelio.ai>",
"Siraj Aizlewood <siraj@aurelio.ai>",
- "Simonas Jakubonis <simonas@aurelio.ai>"
+ "Simonas Jakubonis <simonas@aurelio.ai>",
+ "Bogdan Buduroiu <bogdan@aurelio.ai>"
]
readme = "README.md"
@@ -14,12 +15,17 @@ python = "^3.10"
pydantic = "^1.8.2"
openai = "^0.28.1"
cohere = "^4.32"
+numpy = "^1.26.2"
+scipy = "^1.11.4"
[tool.poetry.group.dev.dependencies]
ipykernel = "^6.26.0"
ruff = "^0.1.5"
black = "^23.11.0"
+pytest = "^7.4.3"
+pytest-mock = "^3.12.0"
+pytest-cov = "^4.1.0"
[build-system]
requires = ["poetry-core"]
diff --git a/tests/encoders/test_base.py b/tests/encoders/test_base.py
new file mode 100644
index 0000000000000000000000000000000000000000..f1d4d51cf1d641fed28c514cb253c40bb5553541
--- /dev/null
+++ b/tests/encoders/test_base.py
@@ -0,0 +1,15 @@
+import pytest
+from semantic_router.encoders import BaseEncoder
+
+
+class TestBaseEncoder:
+ @pytest.fixture
+ def base_encoder(self):
+ return BaseEncoder(name="TestEncoder")
+
+ def test_base_encoder_initialization(self, base_encoder):
+ assert base_encoder.name == "TestEncoder", "Initialization of name failed"
+
+ def test_base_encoder_call_method_not_implemented(self, base_encoder):
+ with pytest.raises(NotImplementedError):
+ base_encoder(["some", "texts"])
diff --git a/tests/encoders/test_cohere.py b/tests/encoders/test_cohere.py
new file mode 100644
index 0000000000000000000000000000000000000000..e7170a747817a3e8de4c753f88addf8aad3940b7
--- /dev/null
+++ b/tests/encoders/test_cohere.py
@@ -0,0 +1,37 @@
+import pytest
+import cohere
+from semantic_router.encoders import CohereEncoder
+
+
+@pytest.fixture
+def cohere_encoder(mocker):
+ mocker.patch("cohere.Client")
+ return CohereEncoder(cohere_api_key="test_api_key")
+
+
+class TestCohereEncoder:
+ def test_initialization_with_api_key(self, cohere_encoder):
+ assert cohere_encoder.client is not None, "Client should be initialized"
+ assert cohere_encoder.name == "embed-english-v3.0", "Default name not set correctly"
+
+ def test_initialization_without_api_key(self, mocker, monkeypatch):
+ monkeypatch.delenv("COHERE_API_KEY", raising=False)
+ mocker.patch("cohere.Client")
+ with pytest.raises(ValueError):
+ CohereEncoder()
+
+ def test_call_method(self, cohere_encoder, mocker):
+ mock_embed = mocker.MagicMock()
+ mock_embed.embeddings = [[0.1, 0.2, 0.3]]
+ cohere_encoder.client.embed.return_value = mock_embed
+
+ result = cohere_encoder(["test"])
+ assert isinstance(result, list), "Result should be a list"
+ assert all(isinstance(sublist, list) for sublist in result), "Each item in result should be a list"
+ cohere_encoder.client.embed.assert_called_once()
+
+ def test_call_with_uninitialized_client(self, mocker):
+ mocker.patch("cohere.Client", return_value=None)
+ encoder = CohereEncoder(cohere_api_key="test_api_key")
+ with pytest.raises(ValueError):
+ encoder(["test"])
diff --git a/tests/encoders/test_openai.py b/tests/encoders/test_openai.py
new file mode 100644
index 0000000000000000000000000000000000000000..dbc3ebb60602392ee6654c41b0e824944859d8a5
--- /dev/null
+++ b/tests/encoders/test_openai.py
@@ -0,0 +1,45 @@
+import os
+import pytest
+import openai
+from semantic_router.encoders import OpenAIEncoder
+from openai.error import RateLimitError
+
+
+@pytest.fixture
+def openai_encoder(mocker):
+ mocker.patch("openai.Embedding.create")
+ return OpenAIEncoder(name="test-engine", openai_api_key="test_api_key")
+
+
+class TestOpenAIEncoder:
+ def test_initialization_with_api_key(self, openai_encoder):
+ assert openai.api_key == "test_api_key", "API key should be set correctly"
+ assert openai_encoder.name == "test-engine", "Engine name not set correctly"
+
+ def test_initialization_without_api_key(self, mocker, monkeypatch):
+ monkeypatch.delenv("OPENAI_API_KEY", raising=False)
+ mocker.patch("openai.Embedding.create")
+ with pytest.raises(ValueError):
+ OpenAIEncoder(name="test-engine")
+
+ def test_call_method_success(self, openai_encoder, mocker):
+ mocker.patch("openai.Embedding.create", return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]})
+
+ result = openai_encoder(["test"])
+ assert isinstance(result, list), "Result should be a list"
+ assert len(result) == 1 and len(result[0]) == 3, "Result list size is incorrect"
+
+ @pytest.mark.skip(reason="Currently quite a slow test")
+ def test_call_method_rate_limit_error(self, openai_encoder, mocker):
+ mocker.patch(
+ "openai.Embedding.create", side_effect=RateLimitError(message="rate limit exceeded", http_status=429)
+ )
+
+ with pytest.raises(ValueError):
+ openai_encoder(["test"])
+
+ def test_call_method_failure(self, openai_encoder, mocker):
+ mocker.patch("openai.Embedding.create", return_value={})
+
+ with pytest.raises(ValueError):
+ openai_encoder(["test"])
diff --git a/tests/test_layer.py b/tests/test_layer.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce06e4a0f8ebf3de5435cede5e3f531cf377263d
--- /dev/null
+++ b/tests/test_layer.py
@@ -0,0 +1,106 @@
+import pytest
+
+from semantic_router.encoders import BaseEncoder, CohereEncoder, OpenAIEncoder
+from semantic_router.schema import Decision
+from semantic_router.layer import DecisionLayer # Replace with the actual module name
+
+
+def mock_encoder_call(utterances):
+ # Define a mapping of utterances to return values
+ mock_responses = {
+ "Hello": [0.1, 0.2, 0.3],
+ "Hi": [0.4, 0.5, 0.6],
+ "Goodbye": [0.7, 0.8, 0.9],
+ "Bye": [1.0, 1.1, 1.2],
+ "Au revoir": [1.3, 1.4, 1.5],
+ }
+ return [mock_responses.get(u, [0, 0, 0]) for u in utterances]
+
+
+@pytest.fixture
+def cohere_encoder(mocker):
+ mocker.patch.object(CohereEncoder, "__call__", side_effect=mock_encoder_call)
+ return CohereEncoder(name="test-cohere-encoder", cohere_api_key="test_api_key")
+
+
+@pytest.fixture
+def openai_encoder(mocker):
+ mocker.patch.object(OpenAIEncoder, "__call__", side_effect=mock_encoder_call)
+ return OpenAIEncoder(name="test-openai-encoder", openai_api_key="test_api_key")
+
+
+@pytest.fixture
+def decisions():
+ return [
+ Decision(name="Decision 1", utterances=["Hello", "Hi"]),
+ Decision(name="Decision 2", utterances=["Goodbye", "Bye", "Au revoir"]),
+ ]
+
+
+class TestDecisionLayer:
+ def test_initialization(self, openai_encoder, decisions):
+ decision_layer = DecisionLayer(encoder=openai_encoder, decisions=decisions)
+ assert decision_layer.similarity_threshold == 0.82
+ assert len(decision_layer.index) == 5
+ assert len(set(decision_layer.categories)) == 2
+
+ def test_initialization_different_encoders(self, cohere_encoder, openai_encoder):
+ decision_layer_cohere = DecisionLayer(encoder=cohere_encoder)
+ assert decision_layer_cohere.similarity_threshold == 0.3
+
+ decision_layer_openai = DecisionLayer(encoder=openai_encoder)
+ assert decision_layer_openai.similarity_threshold == 0.82
+
+ def test_add_decision(self, openai_encoder):
+ decision_layer = DecisionLayer(encoder=openai_encoder)
+ decision = Decision(name="Decision 3", utterances=["Yes", "No"])
+ decision_layer.add(decision)
+ assert len(decision_layer.index) == 2
+ assert len(set(decision_layer.categories)) == 1
+
+ def test_add_multiple_decisions(self, openai_encoder, decisions):
+ decision_layer = DecisionLayer(encoder=openai_encoder)
+ for decision in decisions:
+ decision_layer.add(decision)
+ assert len(decision_layer.index) == 5
+ assert len(set(decision_layer.categories)) == 2
+
+ def test_query_and_classification(self, openai_encoder, decisions):
+ decision_layer = DecisionLayer(encoder=openai_encoder, decisions=decisions)
+ query_result = decision_layer("Hello")
+ assert query_result in ["Decision 1", "Decision 2"]
+
+ def test_query_with_no_index(self, openai_encoder):
+ decision_layer = DecisionLayer(encoder=openai_encoder)
+ assert decision_layer("Anything") is None
+
+ def test_semantic_classify(self, openai_encoder, decisions):
+ decision_layer = DecisionLayer(encoder=openai_encoder, decisions=decisions)
+ classification, score = decision_layer._semantic_classify(
+ [
+ {"decision": "Decision 1", "score": 0.9},
+ {"decision": "Decision 2", "score": 0.1},
+ ]
+ )
+ assert classification == "Decision 1"
+ assert score == [0.9]
+
+ def test_semantic_classify_multiple_decisions(self, openai_encoder, decisions):
+ decision_layer = DecisionLayer(encoder=openai_encoder, decisions=decisions)
+ classification, score = decision_layer._semantic_classify(
+ [
+ {"decision": "Decision 1", "score": 0.9},
+ {"decision": "Decision 2", "score": 0.1},
+ {"decision": "Decision 1", "score": 0.8},
+ ]
+ )
+ assert classification == "Decision 1"
+ assert score == [0.9, 0.8]
+
+ def test_pass_threshold(self, openai_encoder):
+ decision_layer = DecisionLayer(encoder=openai_encoder)
+ assert not decision_layer._pass_threshold([], 0.5)
+ assert decision_layer._pass_threshold([0.6, 0.7], 0.5)
+
+
+# Add more tests for edge cases and error handling as needed.