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feat: add Python bindings by SQLAlchemy (#95)
* feat: init py bindings Signed-off-by: Aurutus <emslhy@hotmail.com> * feat: basic binding for sqlalchemy Signed-off-by: Aurutus <emslhy@hotmail.com> * fix: return value for decorator Signed-off-by: Aurutus <emslhy@hotmail.com> * test: impl basic db test order Signed-off-by: Aurutus <emslhy@hotmail.com> * test: add invalid value checker Signed-off-by: Aurutus <emslhy@hotmail.com> * test: fix insert value check Signed-off-by: Aurutus <emslhy@hotmail.com> * feat: impl vector operator Signed-off-by: Aurutus <emslhy@hotmail.com> * test: finish op tests Signed-off-by: Aurutus <emslhy@hotmail.com> * test: add test for creating index Signed-off-by: Aurutus <emslhy@hotmail.com> * docs: complete basic docs Signed-off-by: Aurutus <emslhy@hotmail.com> * chore: add python requirements Signed-off-by: Aurutus <emslhy@hotmail.com> * chore: change requirement.txt Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: change the structure of code Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: update the test Signed-off-by: 盐粒 Yanli <mail@yanli.one> * chore: rewrite the readme with SQLAlchemy ORM Signed-off-by: 盐粒 Yanli <mail@yanli.one> chore: fix readme Signed-off-by: 盐粒 Yanli <mail@yanli.one> chore: fix readme Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: rewrite tests using Alchemy ORM Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: delete serializer for binary (since it's not available for now) Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: use psycopg 3 for the SQLALchemy Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: update tests Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: comment ivf and vamana index due to #97 Signed-off-by: 盐粒 Yanli <mail@yanli.one> * chore: format code Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: update test_invalid_insert Signed-off-by: 盐粒 Yanli <mail@yanli.one> * fix: rename pgvector_rs to pgvecto_rs Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: re-construct to use PDM Signed-off-by: 盐粒 Yanli <mail@yanli.one> * chore: fix readme and add LICENSE Signed-off-by: 盐粒 Yanli <mail@yanli.one> * fix: tox.ini and pyproject.toml Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: add Github Action (for example) Signed-off-by: 盐粒 Yanli <mail@yanli.one> feat: fix Action * feat: support python_check in Action Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: delete Action example Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: enhance lint check && fix Signed-off-by: 盐粒 Yanli <mail@yanli.one> * fix: test problem Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: try to add python_release for CI Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: Complete Python Release CI Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: try to test the package in more platform Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: try to fix test platforms Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: fix dependencies for multi-platform Signed-off-by: 盐粒 Yanli <mail@yanli.one> * fix: update lock file Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: fix test for macOS Signed-off-by: 盐粒 Yanli <mail@yanli.one> * test: delete test on macOS and Windows, since no docker img is provided Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: use workflow_dispatch to manually trigger Python Release Signed-off-by: 盐粒 Yanli <mail@yanli.one> * feat: enhance lint && simplify its Action Signed-off-by: 盐粒 Yanli <mail@yanli.one> * chore: update readme Signed-off-by: 盐粒 Yanli <mail@yanli.one> --------- Signed-off-by: Aurutus <emslhy@hotmail.com> Signed-off-by: 盐粒 Yanli <mail@yanli.one> Co-authored-by: Aurutus <emslhy@hotmail.com>
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# Python bindings for pgvector.rs
|
||||
|
||||
[](https://pdm.fming.dev)
|
||||
|
||||
Currently supports [SQLAlchemy](https://github.com/sqlalchemy/sqlalchemy).
|
||||
|
||||
## Usage
|
||||
|
||||
Install from PyPI:
|
||||
```bash
|
||||
pip install pgvecto_rs
|
||||
```
|
||||
|
||||
See the usage examples:
|
||||
- [SQLAlchemy](#SQLAlchemy)
|
||||
|
||||
### SQLAlchemy
|
||||
|
||||
Install [SQLAlchemy](https://github.com/sqlalchemy/sqlalchemy) and [psycopg3](https://www.psycopg.org/psycopg3/docs/basic/install.html)
|
||||
```bash
|
||||
pip install "psycopg[binary]" sqlalchemy
|
||||
```
|
||||
|
||||
Then write your code. For example:
|
||||
```python
|
||||
import numpy as np
|
||||
from sqlalchemy import create_engine, select, insert, types
|
||||
from sqlalchemy import Integer, String
|
||||
from pgvector_rs.sqlalchemy import Vector
|
||||
from sqlalchemy.orm import Session, DeclarativeBase, mapped_column, Mapped
|
||||
|
||||
URL = "postgresql+psycopg://<...>"
|
||||
|
||||
# Define the ORM model
|
||||
|
||||
|
||||
class Base(DeclarativeBase):
|
||||
pass
|
||||
|
||||
|
||||
class Document(Base):
|
||||
__tablename__ = "documents"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
|
||||
text: Mapped[str] = mapped_column(String)
|
||||
embedding: Mapped[np.ndarray] = mapped_column(Vector(3))
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f"{self.text}: {self.embedding}"
|
||||
|
||||
|
||||
# Connect to the DB and create the table
|
||||
engine = create_engine(URL)
|
||||
Document.metadata.create_all(engine)
|
||||
|
||||
with Session(engine) as session:
|
||||
# Insert 3 rows into the table
|
||||
t1 = insert(Document).values(text="hello world", embedding=[1, 2, 3])
|
||||
t2 = insert(Document).values(text="hello postgres", embedding=[1, 2, 4])
|
||||
t3 = insert(Document).values(text="hello pgvecto.rs", embedding=[1, 3, 4])
|
||||
for t in [t1, t2, t3]:
|
||||
session.execute(t)
|
||||
session.commit()
|
||||
|
||||
# Select the row "hello pgvecto.rs"
|
||||
stmt = select(Document).where(Document.text == "hello pgvecto.rs")
|
||||
target = session.scalar(stmt)
|
||||
|
||||
# Select all the rows and sort them
|
||||
# by the squared_euclidean_distance to "hello pgvecto.rs"
|
||||
stmt = select(
|
||||
Document.text,
|
||||
Document.embedding.squared_euclidean_distance(target.embedding).label(
|
||||
"distance"
|
||||
),
|
||||
).order_by("distance")
|
||||
for doc in session.execute(stmt):
|
||||
print(doc)
|
||||
|
||||
# Drop the table
|
||||
Document.metadata.drop_all(engine)
|
||||
```
|
||||
The output will be:
|
||||
```
|
||||
('hello pgvecto.rs', 0.0)
|
||||
('hello postgres', 1.0)
|
||||
('hello world', 2.0)
|
||||
```
|
||||
|
||||
All the operators include:
|
||||
- `squared_euclidean_distance`
|
||||
- `negative_dot_product_distance`
|
||||
- `negative_cosine_distance`
|
||||
|
||||
## Development
|
||||
|
||||
This package is managed by [PDM](https://pdm.fming.dev).
|
||||
|
||||
Set up things:
|
||||
```bash
|
||||
pdm venv create
|
||||
pdm use # select the venv inside the project path
|
||||
pdm sync
|
||||
```
|
||||
|
||||
Run lint:
|
||||
```bash
|
||||
pdm run format
|
||||
pdm run check
|
||||
```
|
||||
|
||||
Run test in current environment:
|
||||
```bash
|
||||
pdm run test
|
||||
```
|
||||
|
||||
|
||||
## Test
|
||||
|
||||
[Tox](https://tox.wiki) is used to test the package locally.
|
||||
|
||||
Run test in all environment:
|
||||
```bash
|
||||
tox run
|
||||
```
|
||||
409
bindings/python/pdm.lock
generated
Normal file
409
bindings/python/pdm.lock
generated
Normal file
@ -0,0 +1,409 @@
|
||||
# This file is @generated by PDM.
|
||||
# It is not intended for manual editing.
|
||||
|
||||
[metadata]
|
||||
groups = ["default", "dev", "lint"]
|
||||
cross_platform = true
|
||||
static_urls = false
|
||||
lock_version = "4.3"
|
||||
content_hash = "sha256:32c5bb376292d321bc5237e9df415259c527346f042aa4c6dde68bd0adc10525"
|
||||
|
||||
[[package]]
|
||||
name = "backports-zoneinfo"
|
||||
version = "0.2.1"
|
||||
requires_python = ">=3.6"
|
||||
summary = "Backport of the standard library zoneinfo module"
|
||||
files = [
|
||||
{file = "backports.zoneinfo-0.2.1-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:8961c0f32cd0336fb8e8ead11a1f8cd99ec07145ec2931122faaac1c8f7fd987"},
|
||||
{file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:e81b76cace8eda1fca50e345242ba977f9be6ae3945af8d46326d776b4cf78d1"},
|
||||
{file = "backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7b0a64cda4145548fed9efc10322770f929b944ce5cee6c0dfe0c87bf4c0c8c9"},
|
||||
{file = "backports.zoneinfo-0.2.1-cp38-cp38-win32.whl", hash = "sha256:1b13e654a55cd45672cb54ed12148cd33628f672548f373963b0bff67b217328"},
|
||||
{file = "backports.zoneinfo-0.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:4a0f800587060bf8880f954dbef70de6c11bbe59c673c3d818921f042f9954a6"},
|
||||
{file = "backports.zoneinfo-0.2.1.tar.gz", hash = "sha256:fadbfe37f74051d024037f223b8e001611eac868b5c5b06144ef4d8b799862f2"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "black"
|
||||
version = "23.10.0"
|
||||
requires_python = ">=3.8"
|
||||
summary = "The uncompromising code formatter."
|
||||
dependencies = [
|
||||
"click>=8.0.0",
|
||||
"mypy-extensions>=0.4.3",
|
||||
"packaging>=22.0",
|
||||
"pathspec>=0.9.0",
|
||||
"platformdirs>=2",
|
||||
"tomli>=1.1.0; python_version < \"3.11\"",
|
||||
"typing-extensions>=4.0.1; python_version < \"3.11\"",
|
||||
]
|
||||
files = [
|
||||
{file = "black-23.10.0-cp311-cp311-macosx_10_16_arm64.whl", hash = "sha256:30b78ac9b54cf87bcb9910ee3d499d2bc893afd52495066c49d9ee6b21eee06e"},
|
||||
{file = "black-23.10.0-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:0e232f24a337fed7a82c1185ae46c56c4a6167fb0fe37411b43e876892c76699"},
|
||||
{file = "black-23.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31946ec6f9c54ed7ba431c38bc81d758970dd734b96b8e8c2b17a367d7908171"},
|
||||
{file = "black-23.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:c870bee76ad5f7a5ea7bd01dc646028d05568d33b0b09b7ecfc8ec0da3f3f39c"},
|
||||
{file = "black-23.10.0-py3-none-any.whl", hash = "sha256:e223b731a0e025f8ef427dd79d8cd69c167da807f5710add30cdf131f13dd62e"},
|
||||
{file = "black-23.10.0.tar.gz", hash = "sha256:31b9f87b277a68d0e99d2905edae08807c007973eaa609da5f0c62def6b7c0bd"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "click"
|
||||
version = "8.1.7"
|
||||
requires_python = ">=3.7"
|
||||
summary = "Composable command line interface toolkit"
|
||||
dependencies = [
|
||||
"colorama; platform_system == \"Windows\"",
|
||||
]
|
||||
files = [
|
||||
{file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
|
||||
{file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "colorama"
|
||||
version = "0.4.6"
|
||||
requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
|
||||
summary = "Cross-platform colored terminal text."
|
||||
files = [
|
||||
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
|
||||
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "exceptiongroup"
|
||||
version = "1.1.3"
|
||||
requires_python = ">=3.7"
|
||||
summary = "Backport of PEP 654 (exception groups)"
|
||||
files = [
|
||||
{file = "exceptiongroup-1.1.3-py3-none-any.whl", hash = "sha256:343280667a4585d195ca1cf9cef84a4e178c4b6cf2274caef9859782b567d5e3"},
|
||||
{file = "exceptiongroup-1.1.3.tar.gz", hash = "sha256:097acd85d473d75af5bb98e41b61ff7fe35efe6675e4f9370ec6ec5126d160e9"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "greenlet"
|
||||
version = "3.0.0"
|
||||
requires_python = ">=3.7"
|
||||
summary = "Lightweight in-process concurrent programming"
|
||||
files = [
|
||||
{file = "greenlet-3.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:211ef8d174601b80e01436f4e6905aca341b15a566f35a10dd8d1e93f5dbb3b7"},
|
||||
{file = "greenlet-3.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6512592cc49b2c6d9b19fbaa0312124cd4c4c8a90d28473f86f92685cc5fef8e"},
|
||||
{file = "greenlet-3.0.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:871b0a8835f9e9d461b7fdaa1b57e3492dd45398e87324c047469ce2fc9f516c"},
|
||||
{file = "greenlet-3.0.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b505fcfc26f4148551826a96f7317e02c400665fa0883fe505d4fcaab1dabfdd"},
|
||||
{file = "greenlet-3.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:123910c58234a8d40eaab595bc56a5ae49bdd90122dde5bdc012c20595a94c14"},
|
||||
{file = "greenlet-3.0.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:96d9ea57292f636ec851a9bb961a5cc0f9976900e16e5d5647f19aa36ba6366b"},
|
||||
{file = "greenlet-3.0.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0b72b802496cccbd9b31acea72b6f87e7771ccfd7f7927437d592e5c92ed703c"},
|
||||
{file = "greenlet-3.0.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:527cd90ba3d8d7ae7dceb06fda619895768a46a1b4e423bdb24c1969823b8362"},
|
||||
{file = "greenlet-3.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:37f60b3a42d8b5499be910d1267b24355c495064f271cfe74bf28b17b099133c"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1482fba7fbed96ea7842b5a7fc11d61727e8be75a077e603e8ab49d24e234383"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-macosx_13_0_arm64.whl", hash = "sha256:be557119bf467d37a8099d91fbf11b2de5eb1fd5fc5b91598407574848dc910f"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:73b2f1922a39d5d59cc0e597987300df3396b148a9bd10b76a058a2f2772fc04"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d1e22c22f7826096ad503e9bb681b05b8c1f5a8138469b255eb91f26a76634f2"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1d363666acc21d2c204dd8705c0e0457d7b2ee7a76cb16ffc099d6799744ac99"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:334ef6ed8337bd0b58bb0ae4f7f2dcc84c9f116e474bb4ec250a8bb9bd797a66"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6672fdde0fd1a60b44fb1751a7779c6db487e42b0cc65e7caa6aa686874e79fb"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:952256c2bc5b4ee8df8dfc54fc4de330970bf5d79253c863fb5e6761f00dda35"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:269d06fa0f9624455ce08ae0179430eea61085e3cf6457f05982b37fd2cefe17"},
|
||||
{file = "greenlet-3.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:9adbd8ecf097e34ada8efde9b6fec4dd2a903b1e98037adf72d12993a1c80b51"},
|
||||
{file = "greenlet-3.0.0.tar.gz", hash = "sha256:19834e3f91f485442adc1ee440171ec5d9a4840a1f7bd5ed97833544719ce10b"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "iniconfig"
|
||||
version = "2.0.0"
|
||||
requires_python = ">=3.7"
|
||||
summary = "brain-dead simple config-ini parsing"
|
||||
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 = "mypy-extensions"
|
||||
version = "1.0.0"
|
||||
requires_python = ">=3.5"
|
||||
summary = "Type system extensions for programs checked with the mypy type checker."
|
||||
files = [
|
||||
{file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
|
||||
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "1.24.4"
|
||||
requires_python = ">=3.8"
|
||||
summary = "Fundamental package for array computing in Python"
|
||||
files = [
|
||||
{file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"},
|
||||
{file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"},
|
||||
{file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"},
|
||||
{file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"},
|
||||
{file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"},
|
||||
{file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"},
|
||||
{file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"},
|
||||
{file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"},
|
||||
{file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"},
|
||||
{file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"},
|
||||
{file = "numpy-1.24.4-cp311-cp311-win32.whl", hash = "sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d"},
|
||||
{file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"},
|
||||
{file = "numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61"},
|
||||
{file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"},
|
||||
{file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"},
|
||||
{file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"},
|
||||
{file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"},
|
||||
{file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"},
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||||
]
|
||||
files = [
|
||||
{file = "pytest-7.4.2-py3-none-any.whl", hash = "sha256:1d881c6124e08ff0a1bb75ba3ec0bfd8b5354a01c194ddd5a0a870a48d99b002"},
|
||||
{file = "pytest-7.4.2.tar.gz", hash = "sha256:a766259cfab564a2ad52cb1aae1b881a75c3eb7e34ca3779697c23ed47c47069"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.1.1"
|
||||
requires_python = ">=3.7"
|
||||
summary = "An extremely fast Python linter, written in Rust."
|
||||
files = [
|
||||
{file = "ruff-0.1.1-py3-none-macosx_10_7_x86_64.whl", hash = "sha256:b7cdc893aef23ccc14c54bd79a8109a82a2c527e11d030b62201d86f6c2b81c5"},
|
||||
{file = "ruff-0.1.1-py3-none-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:620d4b34302538dbd8bbbe8fdb8e8f98d72d29bd47e972e2b59ce6c1e8862257"},
|
||||
{file = "ruff-0.1.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2a909d3930afdbc2e9fd893b0034479e90e7981791879aab50ce3d9f55205bd6"},
|
||||
{file = "ruff-0.1.1-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3305d1cb4eb8ff6d3e63a48d1659d20aab43b49fe987b3ca4900528342367145"},
|
||||
{file = "ruff-0.1.1-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c34ae501d0ec71acf19ee5d4d889e379863dcc4b796bf8ce2934a9357dc31db7"},
|
||||
{file = "ruff-0.1.1-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:6aa7e63c3852cf8fe62698aef31e563e97143a4b801b57f920012d0e07049a8d"},
|
||||
{file = "ruff-0.1.1-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2d68367d1379a6b47e61bc9de144a47bcdb1aad7903bbf256e4c3d31f11a87ae"},
|
||||
{file = "ruff-0.1.1-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bc11955f6ce3398d2afe81ad7e49d0ebf0a581d8bcb27b8c300281737735e3a3"},
|
||||
{file = "ruff-0.1.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cbbd8eead88ea83a250499074e2a8e9d80975f0b324b1e2e679e4594da318c25"},
|
||||
{file = "ruff-0.1.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:f4780e2bb52f3863a565ec3f699319d3493b83ff95ebbb4993e59c62aaf6e75e"},
|
||||
{file = "ruff-0.1.1-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:8f5b24daddf35b6c207619301170cae5d2699955829cda77b6ce1e5fc69340df"},
|
||||
{file = "ruff-0.1.1-py3-none-musllinux_1_2_i686.whl", hash = "sha256:d3f9ac658ba29e07b95c80fa742b059a55aefffa8b1e078bc3c08768bdd4b11a"},
|
||||
{file = "ruff-0.1.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:3521bf910104bf781e6753282282acc145cbe3eff79a1ce6b920404cd756075a"},
|
||||
{file = "ruff-0.1.1-py3-none-win32.whl", hash = "sha256:ba3208543ab91d3e4032db2652dcb6c22a25787b85b8dc3aeff084afdc612e5c"},
|
||||
{file = "ruff-0.1.1-py3-none-win_amd64.whl", hash = "sha256:3ff3006c97d9dc396b87fb46bb65818e614ad0181f059322df82bbfe6944e264"},
|
||||
{file = "ruff-0.1.1-py3-none-win_arm64.whl", hash = "sha256:e140bd717c49164c8feb4f65c644046fe929c46f42493672853e3213d7bdbce2"},
|
||||
{file = "ruff-0.1.1.tar.gz", hash = "sha256:c90461ae4abec261609e5ea436de4a4b5f2822921cf04c16d2cc9327182dbbcc"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "sqlalchemy"
|
||||
version = "2.0.22"
|
||||
requires_python = ">=3.7"
|
||||
summary = "Database Abstraction Library"
|
||||
dependencies = [
|
||||
"greenlet!=0.4.17; platform_machine == \"aarch64\" or (platform_machine == \"ppc64le\" or (platform_machine == \"x86_64\" or (platform_machine == \"amd64\" or (platform_machine == \"AMD64\" or (platform_machine == \"win32\" or platform_machine == \"WIN32\")))))",
|
||||
"typing-extensions>=4.2.0",
|
||||
]
|
||||
files = [
|
||||
{file = "SQLAlchemy-2.0.22-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4f6ff392b27a743c1ad346d215655503cec64405d3b694228b3454878bf21590"},
|
||||
{file = "SQLAlchemy-2.0.22-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f776c2c30f0e5f4db45c3ee11a5f2a8d9de68e81eb73ec4237de1e32e04ae81c"},
|
||||
{file = "SQLAlchemy-2.0.22-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c8f1792d20d2f4e875ce7a113f43c3561ad12b34ff796b84002a256f37ce9437"},
|
||||
{file = "SQLAlchemy-2.0.22-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d80eeb5189d7d4b1af519fc3f148fe7521b9dfce8f4d6a0820e8f5769b005051"},
|
||||
{file = "SQLAlchemy-2.0.22-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:69fd9e41cf9368afa034e1c81f3570afb96f30fcd2eb1ef29cb4d9371c6eece2"},
|
||||
{file = "SQLAlchemy-2.0.22-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:54bcceaf4eebef07dadfde424f5c26b491e4a64e61761dea9459103ecd6ccc95"},
|
||||
{file = "SQLAlchemy-2.0.22-cp311-cp311-win32.whl", hash = "sha256:7ee7ccf47aa503033b6afd57efbac6b9e05180f492aeed9fcf70752556f95624"},
|
||||
{file = "SQLAlchemy-2.0.22-cp311-cp311-win_amd64.whl", hash = "sha256:b560f075c151900587ade06706b0c51d04b3277c111151997ea0813455378ae0"},
|
||||
{file = "SQLAlchemy-2.0.22-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:2c9bac865ee06d27a1533471405ad240a6f5d83195eca481f9fc4a71d8b87df8"},
|
||||
{file = "SQLAlchemy-2.0.22-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:625b72d77ac8ac23da3b1622e2da88c4aedaee14df47c8432bf8f6495e655de2"},
|
||||
{file = "SQLAlchemy-2.0.22-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b39a6e21110204a8c08d40ff56a73ba542ec60bab701c36ce721e7990df49fb9"},
|
||||
{file = "SQLAlchemy-2.0.22-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:53a766cb0b468223cafdf63e2d37f14a4757476157927b09300c8c5832d88560"},
|
||||
{file = "SQLAlchemy-2.0.22-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0e1ce8ebd2e040357dde01a3fb7d30d9b5736b3e54a94002641dfd0aa12ae6ce"},
|
||||
{file = "SQLAlchemy-2.0.22-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:505f503763a767556fa4deae5194b2be056b64ecca72ac65224381a0acab7ebe"},
|
||||
{file = "SQLAlchemy-2.0.22-cp312-cp312-win32.whl", hash = "sha256:154a32f3c7b00de3d090bc60ec8006a78149e221f1182e3edcf0376016be9396"},
|
||||
{file = "SQLAlchemy-2.0.22-cp312-cp312-win_amd64.whl", hash = "sha256:129415f89744b05741c6f0b04a84525f37fbabe5dc3774f7edf100e7458c48cd"},
|
||||
{file = "SQLAlchemy-2.0.22-py3-none-any.whl", hash = "sha256:3076740335e4aaadd7deb3fe6dcb96b3015f1613bd190a4e1634e1b99b02ec86"},
|
||||
{file = "SQLAlchemy-2.0.22.tar.gz", hash = "sha256:5434cc601aa17570d79e5377f5fd45ff92f9379e2abed0be5e8c2fba8d353d2b"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "toml"
|
||||
version = "0.10.2"
|
||||
requires_python = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||
summary = "Python Library for Tom's Obvious, Minimal Language"
|
||||
files = [
|
||||
{file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
|
||||
{file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.0.1"
|
||||
requires_python = ">=3.7"
|
||||
summary = "A lil' TOML parser"
|
||||
files = [
|
||||
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
|
||||
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.8.0"
|
||||
requires_python = ">=3.8"
|
||||
summary = "Backported and Experimental Type Hints for Python 3.8+"
|
||||
files = [
|
||||
{file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
|
||||
{file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tzdata"
|
||||
version = "2023.3"
|
||||
requires_python = ">=2"
|
||||
summary = "Provider of IANA time zone data"
|
||||
files = [
|
||||
{file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
|
||||
{file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
|
||||
]
|
||||
39
bindings/python/pyproject.toml
Normal file
39
bindings/python/pyproject.toml
Normal file
@ -0,0 +1,39 @@
|
||||
[project]
|
||||
name = "pgvecto_rs"
|
||||
version = "0.1.0"
|
||||
description = "Python binding for pgvecto.rs"
|
||||
authors = [
|
||||
{name = "盐粒 Yanli", email = "mail@yanli.one"},
|
||||
]
|
||||
dependencies = [
|
||||
"numpy>=1.23",
|
||||
"toml>=0.10",
|
||||
]
|
||||
requires-python = ">=3.8"
|
||||
readme = "README.md"
|
||||
license = {text = "Apache-2.0"}
|
||||
|
||||
[build-system]
|
||||
requires = ["pdm-backend"]
|
||||
build-backend = "pdm.backend"
|
||||
|
||||
[project.optional-dependencies]
|
||||
lint = [
|
||||
"black>=23.10.0",
|
||||
"ruff>=0.1.1",
|
||||
]
|
||||
|
||||
[tool.pdm.dev-dependencies]
|
||||
dev = [
|
||||
"SQLAlchemy>=2",
|
||||
"pytest>=7.4",
|
||||
"psycopg[binary]>=3.1.12",
|
||||
]
|
||||
|
||||
[tool.pdm.scripts]
|
||||
test = "pytest tests/"
|
||||
format = {composite = ["black .", "ruff check --fix ."]}
|
||||
check = {composite = ["black --check .", "ruff check ."]}
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
addopts = "-r aR"
|
||||
0
bindings/python/src/pgvecto_rs/__init__.py
Normal file
0
bindings/python/src/pgvecto_rs/__init__.py
Normal file
38
bindings/python/src/pgvecto_rs/sqlalchemy/__init__.py
Normal file
38
bindings/python/src/pgvecto_rs/sqlalchemy/__init__.py
Normal file
@ -0,0 +1,38 @@
|
||||
import sqlalchemy.types as types
|
||||
from ..utils import serializer
|
||||
|
||||
|
||||
class Vector(types.UserDefinedType):
|
||||
cache_ok = True
|
||||
|
||||
def __init__(self, dim):
|
||||
if dim < 0:
|
||||
raise ValueError("negative dim is not allowed")
|
||||
self.dim = dim
|
||||
|
||||
def get_col_spec(self, **kw):
|
||||
if self.dim is None or self.dim == 0:
|
||||
return "VECTOR"
|
||||
return "VECTOR({})".format(self.dim)
|
||||
|
||||
def bind_processor(self, dialect):
|
||||
def _processor(value):
|
||||
return serializer.to_db_str(value, self.dim)
|
||||
|
||||
return _processor
|
||||
|
||||
def result_processor(self, dialect, coltype):
|
||||
def _processor(value):
|
||||
return serializer.from_db_str(value)
|
||||
|
||||
return _processor
|
||||
|
||||
class comparator_factory(types.UserDefinedType.Comparator):
|
||||
def squared_euclidean_distance(self, other):
|
||||
return self.op("<->", return_type=types.Float)(other)
|
||||
|
||||
def negative_dot_product_distance(self, other):
|
||||
return self.op("<#>", return_type=types.Float)(other)
|
||||
|
||||
def negative_cosine_distance(self, other):
|
||||
return self.op("<=>", return_type=types.Float)(other)
|
||||
0
bindings/python/src/pgvecto_rs/utils/__init__.py
Normal file
0
bindings/python/src/pgvecto_rs/utils/__init__.py
Normal file
47
bindings/python/src/pgvecto_rs/utils/decorators.py
Normal file
47
bindings/python/src/pgvecto_rs/utils/decorators.py
Normal file
@ -0,0 +1,47 @@
|
||||
import numpy as np
|
||||
from functools import wraps
|
||||
|
||||
|
||||
def ignore_none(func):
|
||||
@wraps(func)
|
||||
def _func(value, *args, **kwargs):
|
||||
return value if value is None else func(value, *args, **kwargs)
|
||||
|
||||
return _func
|
||||
|
||||
|
||||
def ignore_ndarray(func):
|
||||
@wraps(func)
|
||||
def _func(value, *args, **kwargs):
|
||||
return value if isinstance(value, np.ndarray) else func(value, *args, **kwargs)
|
||||
|
||||
return _func
|
||||
|
||||
|
||||
def validate_ndarray(func):
|
||||
"""Validate ndarray data type for vector"""
|
||||
|
||||
@wraps(func)
|
||||
def _func(value: np.ndarray, *args, **kwargs):
|
||||
if isinstance(value, np.ndarray):
|
||||
if value.ndim != 1:
|
||||
raise ValueError("ndarray must be 1D for vector")
|
||||
if not np.issubdtype(value.dtype, np.number):
|
||||
raise ValueError("ndarray data type must be numeric for vector")
|
||||
return func(value, *args, **kwargs)
|
||||
|
||||
return _func
|
||||
|
||||
|
||||
def validate_builtin_list(func):
|
||||
"""Validate list data type for vector and convert to ndarray"""
|
||||
|
||||
@wraps(func)
|
||||
def _func(value: list, *args, **kwargs):
|
||||
if isinstance(value, list):
|
||||
if not all(isinstance(x, (int, float)) for x in value):
|
||||
raise ValueError("list data type must be numeric for vector")
|
||||
value = np.array(value, dtype=np.float32)
|
||||
return func(value, *args, **kwargs)
|
||||
|
||||
return _func
|
||||
19
bindings/python/src/pgvecto_rs/utils/serializer.py
Normal file
19
bindings/python/src/pgvecto_rs/utils/serializer.py
Normal file
@ -0,0 +1,19 @@
|
||||
from typing import Optional
|
||||
import numpy as np
|
||||
from . import decorators
|
||||
|
||||
|
||||
@decorators.ignore_none
|
||||
@decorators.ignore_ndarray # could be ndarray if already cast by lower-level driver
|
||||
def from_db_str(value):
|
||||
return np.array(value[1:-1].split(","), dtype=np.float32)
|
||||
|
||||
|
||||
@decorators.ignore_none
|
||||
@decorators.validate_builtin_list
|
||||
@decorators.validate_ndarray
|
||||
def to_db_str(value: np.ndarray, dim: Optional[int] = None):
|
||||
if dim is not None and value.shape[0] != dim:
|
||||
raise ValueError("expected %d dimensions, not %d" % (dim, len(value)))
|
||||
|
||||
return "[" + ",".join([str(float(v)) for v in value]) + "]"
|
||||
99
bindings/python/tests/__init__.py
Normal file
99
bindings/python/tests/__init__.py
Normal file
@ -0,0 +1,99 @@
|
||||
import os
|
||||
import toml
|
||||
import numpy as np
|
||||
|
||||
PORT = os.getenv("DB_PORT", 5432)
|
||||
HOST = os.getenv("DB_HOST", "localhost")
|
||||
USER = os.getenv("DB_USER", "postgres")
|
||||
PASS = os.getenv("DB_PASS", "mysecretpassword")
|
||||
DB_NAME = os.getenv("DB_NAME", "postgres")
|
||||
|
||||
# Run tests with shell:
|
||||
# DB_HOST=localhost DB_USER=postgres DB_PASS=password DB_NAME=postgres python3 -m pytest bindings/python/tests/
|
||||
URL = "postgresql://{username}:{password}@{host}:{port}/{db_name}".format(
|
||||
port=PORT,
|
||||
host=HOST,
|
||||
username=USER,
|
||||
password=PASS,
|
||||
db_name=DB_NAME,
|
||||
)
|
||||
|
||||
|
||||
# ==== test_create_index ====
|
||||
|
||||
TOML_SETTINGS = {
|
||||
"flat": "$${}$$".format(
|
||||
toml.dumps(
|
||||
{
|
||||
"capacity": 2097152,
|
||||
"algorithm": {"flat": {}},
|
||||
}
|
||||
)
|
||||
),
|
||||
"hnsw": "$${}$$".format(
|
||||
toml.dumps(
|
||||
{
|
||||
"capacity": 2097152,
|
||||
"algorithm": {"hnsw": {}},
|
||||
}
|
||||
)
|
||||
),
|
||||
# "ivf": "$${}$$".format(
|
||||
# toml.dumps(
|
||||
# {
|
||||
# "capacity": 2097152,
|
||||
# "algorithm": {"ivf": {}},
|
||||
# }
|
||||
# )
|
||||
# ),
|
||||
# "vamana": "$${}$$".format(
|
||||
# toml.dumps(
|
||||
# {
|
||||
# "capacity": 2097152,
|
||||
# "algorithm": {"vamana": {}},
|
||||
# }
|
||||
# )
|
||||
# ),
|
||||
}
|
||||
|
||||
# ==== test_invalid_insert ====
|
||||
INVALID_VECTORS = [
|
||||
[1, 2, 3, 4],
|
||||
[
|
||||
1,
|
||||
],
|
||||
[[1, 2], [3, 4], [5, 6]],
|
||||
["123.", "123", "a"],
|
||||
np.array([1, 2, 3, 4]),
|
||||
np.array([1, "3", 3]),
|
||||
np.zeros(shape=(1, 2)),
|
||||
]
|
||||
|
||||
# =================================
|
||||
# Semetic search tests
|
||||
# =================================
|
||||
VECTORS = [
|
||||
[1, 2, 3],
|
||||
[0.0, -45, 2.34],
|
||||
np.ones(shape=(3)),
|
||||
]
|
||||
OP_SQRT_EUCLID_DIS = [0, 0, 0]
|
||||
EXPECTED_SQRT_EUCLID_DIS = [14.0, 2030.4756, 3.0]
|
||||
OP_NEG_DOT_PROD_DIS = [1, 2, 4]
|
||||
EXPECTED_NEG_DOT_PROD_DIS = [-17.0, 80.64, -7.0]
|
||||
OP_NEG_COS_DIS = [3, 2, 1]
|
||||
EXPECTED_NEG_COS_DIS = [-0.7142857, 0.5199225, -0.92582005]
|
||||
|
||||
# ==== test_delete ====
|
||||
LEN_AFT_DEL = 2
|
||||
|
||||
__all__ = [
|
||||
"URL",
|
||||
"TOML_SETTINGS",
|
||||
"INVALID_VECTORS",
|
||||
"VECTORS",
|
||||
"EXPECTED_SQRT_EUCLID_DIS",
|
||||
"EXPECTED_NEG_DOT_PROD_DIS",
|
||||
"EXPECTED_NEG_COS_DIS",
|
||||
"LEN_AFT_DEL",
|
||||
]
|
||||
147
bindings/python/tests/test_sqlalchemy.py
Normal file
147
bindings/python/tests/test_sqlalchemy.py
Normal file
@ -0,0 +1,147 @@
|
||||
import pytest
|
||||
import numpy as np
|
||||
from tests import (
|
||||
URL,
|
||||
TOML_SETTINGS,
|
||||
VECTORS,
|
||||
INVALID_VECTORS,
|
||||
OP_NEG_DOT_PROD_DIS,
|
||||
EXPECTED_SQRT_EUCLID_DIS,
|
||||
OP_SQRT_EUCLID_DIS,
|
||||
EXPECTED_NEG_DOT_PROD_DIS,
|
||||
OP_NEG_COS_DIS,
|
||||
EXPECTED_NEG_COS_DIS,
|
||||
LEN_AFT_DEL,
|
||||
)
|
||||
from sqlalchemy import create_engine, select, text, insert, delete
|
||||
from sqlalchemy import Integer, Index
|
||||
from pgvecto_rs.sqlalchemy import Vector
|
||||
from sqlalchemy.orm import Session, DeclarativeBase, mapped_column, Mapped
|
||||
from sqlalchemy.exc import StatementError
|
||||
|
||||
|
||||
class Base(DeclarativeBase):
|
||||
pass
|
||||
|
||||
|
||||
class Document(Base):
|
||||
__tablename__ = "tb_test_item"
|
||||
|
||||
id: Mapped[int] = mapped_column(Integer, primary_key=True)
|
||||
embedding: Mapped[np.ndarray] = mapped_column(Vector(3))
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return f"{self.embedding}"
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def session():
|
||||
"""
|
||||
Connect to the test db pointed by the URL. Can check more details
|
||||
in `tests/__init__.py`
|
||||
"""
|
||||
|
||||
engine = create_engine(URL.replace("postgresql", "postgresql+psycopg"))
|
||||
|
||||
# ensure that we have installed pgvector.rs extension
|
||||
with engine.connect() as conn:
|
||||
conn.execute(text("CREATE EXTENSION IF NOT EXISTS vectors"))
|
||||
conn.execute(text("DROP TABLE IF EXISTS tb_test_item"))
|
||||
conn.commit()
|
||||
|
||||
with Session(engine) as session:
|
||||
Document.metadata.create_all(engine)
|
||||
try:
|
||||
yield session
|
||||
finally:
|
||||
session.rollback()
|
||||
Document.metadata.drop_all(engine)
|
||||
|
||||
|
||||
# =================================
|
||||
# Prefix functional tests
|
||||
# =================================
|
||||
|
||||
|
||||
@pytest.mark.parametrize("index_name,index_setting", TOML_SETTINGS.items())
|
||||
def test_create_index(session: Session, index_name: str, index_setting: str):
|
||||
index = Index(
|
||||
index_name,
|
||||
Document.embedding,
|
||||
postgresql_using="vectors",
|
||||
postgresql_with={"options": index_setting},
|
||||
postgresql_ops={"embedding": "l2_ops"},
|
||||
)
|
||||
index.create(session.bind)
|
||||
session.rollback()
|
||||
|
||||
|
||||
@pytest.mark.parametrize("i,e", enumerate(INVALID_VECTORS))
|
||||
def test_invalid_insert(session: Session, i: int, e: np.ndarray):
|
||||
try:
|
||||
session.execute(insert(Document).values(id=i, embedding=e))
|
||||
except StatementError:
|
||||
pass
|
||||
else:
|
||||
raise AssertionError(
|
||||
"failed to raise invalid value error for {}th vector {}".format(i, e),
|
||||
)
|
||||
finally:
|
||||
session.rollback()
|
||||
|
||||
|
||||
# =================================
|
||||
# Semetic search tests
|
||||
# =================================
|
||||
|
||||
|
||||
def test_insert(session: Session):
|
||||
for stat in [
|
||||
insert(Document).values(id=i, embedding=e) for i, e in enumerate(VECTORS)
|
||||
]:
|
||||
session.execute(stat)
|
||||
session.commit()
|
||||
for row in session.scalars(select(Document)):
|
||||
assert np.allclose(row.embedding, VECTORS[row.id], atol=1e-10)
|
||||
|
||||
|
||||
def test_squared_euclidean_distance(session: Session):
|
||||
for row in session.execute(
|
||||
select(
|
||||
Document.id,
|
||||
Document.embedding.squared_euclidean_distance(OP_SQRT_EUCLID_DIS),
|
||||
)
|
||||
):
|
||||
(i, res) = row
|
||||
assert np.allclose(EXPECTED_SQRT_EUCLID_DIS[i], res, atol=1e-10)
|
||||
|
||||
|
||||
def test_negative_dot_product_distance(session: Session):
|
||||
for row in session.execute(
|
||||
select(
|
||||
Document.id,
|
||||
Document.embedding.negative_dot_product_distance(OP_NEG_DOT_PROD_DIS),
|
||||
)
|
||||
):
|
||||
(i, res) = row
|
||||
assert np.allclose(EXPECTED_NEG_DOT_PROD_DIS[i], res, atol=1e-10)
|
||||
|
||||
|
||||
def test_negative_cosine_distance(session: Session):
|
||||
for row in session.execute(
|
||||
select(Document.id, Document.embedding.negative_cosine_distance(OP_NEG_COS_DIS))
|
||||
):
|
||||
(i, res) = row
|
||||
assert np.allclose(EXPECTED_NEG_COS_DIS[i], res, atol=1e-10)
|
||||
|
||||
|
||||
# # =================================
|
||||
# # Suffix functional tests
|
||||
# # =================================
|
||||
|
||||
|
||||
def test_delete(session: Session):
|
||||
session.execute(delete(Document).where(Document.embedding == VECTORS[0]))
|
||||
session.commit()
|
||||
res = session.execute(select(Document))
|
||||
assert len(list(res)) == LEN_AFT_DEL
|
||||
9
bindings/python/tox.ini
Normal file
9
bindings/python/tox.ini
Normal file
@ -0,0 +1,9 @@
|
||||
[tox]
|
||||
env_list = py3{10, 11}
|
||||
|
||||
[testenv]
|
||||
deps = pdm
|
||||
commands =
|
||||
pdm sync -d -G lint
|
||||
pdm run -v check
|
||||
pdm run -v test
|
||||
Reference in New Issue
Block a user