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diff --git a/python-relevanceai.spec b/python-relevanceai.spec new file mode 100644 index 0000000..363f2f5 --- /dev/null +++ b/python-relevanceai.spec @@ -0,0 +1,753 @@ +%global _empty_manifest_terminate_build 0 +Name: python-RelevanceAI +Version: 3.2.22 +Release: 1 +Summary: please add a summary manually as the author left a blank one +License: Apache Software License +URL: https://tryrelevance.com/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/cb/b9/e2c302e1b7af5b72efff6d37e4a7fcb0d0eb2233938ebe9fb2da7241e2a4/RelevanceAI-3.2.22.tar.gz +BuildArch: noarch + +Requires: python3-tqdm +Requires: python3-pandas +Requires: python3-loguru +Requires: python3-document-utils +Requires: python3-requests +Requires: python3-numpy +Requires: python3-joblib +Requires: python3-scikit-learn +Requires: python3-typing-extensions +Requires: python3-analytics-python +Requires: python3-aiohttp +Requires: python3-appdirs +Requires: python3-orjson +Requires: python3-psutil +Requires: python3-autopep8 +Requires: python3-pylint +Requires: python3-jupyter +Requires: python3-pre-commit +Requires: python3-black +Requires: python3-mypy +Requires: python3-xenon +Requires: python3-pytest +Requires: python3-pytest-dotenv +Requires: python3-pytest-xdist +Requires: python3-pytest-cov +Requires: python3-pytest-mock +Requires: python3-types-requests +Requires: python3-pytest-sugar +Requires: python3-pytest-rerunfailures +Requires: python3-tqdm +Requires: python3-pandas +Requires: python3-loguru +Requires: python3-document-utils +Requires: python3-requests +Requires: python3-numpy +Requires: python3-joblib +Requires: python3-scikit-learn +Requires: python3-typing-extensions +Requires: python3-analytics-python +Requires: python3-aiohttp +Requires: python3-appdirs +Requires: python3-orjson +Requires: python3-psutil +Requires: python3-openpyxl +Requires: python3-fsspec +Requires: python3-umap-learn +Requires: python3-sphinx-rtd-theme +Requires: python3-pydata-sphinx-theme +Requires: python3-sphinx-autoapi +Requires: python3-sphinx-autodoc-typehints +Requires: python3-autopep8 +Requires: python3-pylint +Requires: python3-jupyter +Requires: python3-pytest +Requires: python3-pytest-dotenv +Requires: python3-pytest-xdist +Requires: python3-pytest-cov +Requires: python3-pytest-mock +Requires: python3-mypy +Requires: python3-types-requests +Requires: python3-pytest-sugar +Requires: python3-pytest-rerunfailures +Requires: python3-tqdm +Requires: python3-pandas +Requires: python3-loguru +Requires: python3-document-utils +Requires: python3-requests +Requires: python3-numpy +Requires: python3-joblib +Requires: python3-scikit-learn +Requires: python3-typing-extensions +Requires: python3-analytics-python +Requires: python3-aiohttp +Requires: python3-appdirs +Requires: python3-orjson +Requires: python3-psutil +Requires: python3-openpyxl +Requires: python3-fsspec +Requires: python3-umap-learn +Requires: python3-sphinx-rtd-theme +Requires: python3-pydata-sphinx-theme +Requires: python3-sphinx-autoapi +Requires: python3-sphinx-autodoc-typehints +Requires: python3-autopep8 +Requires: python3-pylint +Requires: python3-jupyter +Requires: python3-pytest +Requires: python3-pytest-dotenv +Requires: python3-pytest-xdist +Requires: python3-pytest-cov +Requires: python3-pytest-mock +Requires: python3-mypy +Requires: python3-types-requests +Requires: python3-pytest-sugar +Requires: python3-pytest-rerunfailures +Requires: python3-tqdm +Requires: python3-pandas +Requires: python3-loguru +Requires: python3-document-utils +Requires: python3-requests +Requires: python3-numpy +Requires: python3-joblib +Requires: python3-scikit-learn +Requires: python3-typing-extensions +Requires: python3-analytics-python +Requires: python3-aiohttp +Requires: python3-appdirs +Requires: python3-orjson +Requires: python3-psutil +Requires: python3-openpyxl +Requires: python3-fsspec +Requires: python3-umap-learn +Requires: python3-sphinx-rtd-theme +Requires: python3-pydata-sphinx-theme +Requires: python3-sphinx-autoapi +Requires: python3-sphinx-autodoc-typehints +Requires: python3-sphinx-rtd-theme +Requires: python3-pydata-sphinx-theme +Requires: python3-sphinx-autoapi +Requires: python3-sphinx-autodoc-typehints +Requires: python3-tqdm +Requires: python3-pandas +Requires: python3-loguru +Requires: python3-document-utils +Requires: python3-requests +Requires: python3-numpy +Requires: python3-joblib +Requires: python3-scikit-learn +Requires: python3-typing-extensions +Requires: python3-analytics-python +Requires: python3-aiohttp +Requires: python3-appdirs +Requires: python3-orjson +Requires: python3-psutil +Requires: python3-openpyxl +Requires: python3-fsspec +Requires: python3-hdbscan +Requires: python3-scikit-learn-extra +Requires: python3-tqdm +Requires: python3-pandas +Requires: python3-loguru +Requires: python3-document-utils +Requires: python3-requests +Requires: python3-numpy +Requires: python3-joblib +Requires: python3-scikit-learn +Requires: python3-typing-extensions +Requires: python3-analytics-python +Requires: python3-aiohttp +Requires: python3-appdirs +Requires: python3-orjson +Requires: python3-psutil +Requires: python3-sentence-transformers +Requires: python3-jsonshower +Requires: python3-tqdm +Requires: python3-pandas +Requires: python3-loguru +Requires: python3-document-utils +Requires: python3-requests +Requires: python3-numpy +Requires: python3-joblib +Requires: python3-scikit-learn +Requires: python3-typing-extensions +Requires: python3-analytics-python +Requires: python3-aiohttp +Requires: python3-appdirs +Requires: python3-orjson +Requires: python3-psutil +Requires: python3-pytest +Requires: python3-pytest-dotenv +Requires: python3-pytest-xdist +Requires: python3-pytest-cov +Requires: python3-pytest-mock +Requires: python3-mypy +Requires: python3-types-requests +Requires: python3-pytest-sugar +Requires: python3-pytest-rerunfailures +Requires: python3-tqdm +Requires: python3-pandas +Requires: python3-loguru +Requires: python3-document-utils +Requires: python3-requests +Requires: python3-numpy +Requires: python3-joblib +Requires: python3-scikit-learn +Requires: python3-typing-extensions +Requires: python3-analytics-python +Requires: python3-aiohttp +Requires: python3-appdirs +Requires: python3-orjson +Requires: python3-psutil +Requires: python3-openpyxl +Requires: python3-fsspec +Requires: python3-umap-learn +Requires: python3-umap-learn + +%description + + +## Relevance AI - The ML Platform for Unstructured Data Analysis +[](https://relevanceai.readthedocs.io/en/latest/?badge=latest) +[](https://img.shields.io/pypi/l/relevanceai) + +🌎 80% of data in the world is unstructured in the form of text, image, audio, videos, and more. + +🔥 Use Relevance to unlock the value of your unstructured data: +- ⚡ Quickly analyze unstructured data with pre-trained machine learning models in a few lines of code. +- ✨ Visualize your unstructured data. Text highlights from Named entity recognition, Word cloud from keywords, Bounding box from images. +- 📊 Create charts for both structured and unstructured. +- 🔎 Drilldown with filters and similarity search to explore and find insights. +- 🚀 Share data apps with your team. + +[Sign up for a free account ->](https://hubs.ly/Q017CkXK0) + +Relevance AI also acts as a platform for: +- 🔑 Vectors, storing and querying vectors with flexible vector similarity search, that can be combined with multiple vectors, aggregates and filters. +- 🔮 ML Dataset Evaluation, for debugging dataset labels, model outputs and surfacing edge cases. + + +## 🧠 Documentation + +| Type | Link | +| ------------- | ----------- | +| Python API | [Documentation](https://sdk.tryrelevance.com/) | +| Python Reference | [Documentation](https://relevanceai.readthedocs.io/en/latest/) | +| Cloud Dashboard | [Documentation](https://docs.tryrelevance.com/) | + +## 🛠️ Installation + +Using pip: + +```{bash} +pip install -U relevanceai +``` +Using conda: + +```{bash} +conda install -c relevance relevanceai +``` + +## ⏩ Quickstart +[](https://colab.research.google.com/github/RelevanceAI/RelevanceAI/blob/development/guides/quickstart_guide.ipynb) + +Login to `relevanceai`: +```{python} +from relevanceai import Client + +client = Client() +``` + +Prepare your documents for insertion by following the below format: +- Each document should be a dictionary +- Include a field `_id` as a primary key, otherwise it's automatically generated +- Suffix vector fields with `_vector_` + +```{python} +docs = [ + {"_id": "1", "example_vector_": [0.1, 0.1, 0.1], "data": "Documentation"}, + {"_id": "2", "example_vector_": [0.2, 0.2, 0.2], "data": "Best document!"}, + {"_id": "3", "example_vector_": [0.3, 0.3, 0.3], "data": "document example"}, + {"_id": "4", "example_vector_": [0.4, 0.4, 0.4], "data": "this is another doc"}, + {"_id": "5", "example_vector_": [0.5, 0.5, 0.5], "data": "this is a doc"}, +] +``` + +### Insert data into a dataset + +Create a dataset object with the name of the dataset you'd like to use. If it doesn't exist, it'll be created for you. + +```{python} +ds = client.Dataset("quickstart") +ds.insert_documents(docs) +``` +> Quick tip! Our Dataset object is compatible with common dataframes methods like `.head()`, `.shape()` and `.info()`. + +### Perform vector search + +```{python} +query = [ + {"vector": [0.2, 0.2, 0.2], "field": "example_vector_"} +] +results = ds.search( + vector_search_query=query, + page_size=3, +) +``` +[Learn more about how to flexibly configure your vector search ->](https://sdk.tryrelevance.com/docs/search) + +### Perform clustering + +Generate clusters +```{python} +clusterop = ds.cluster(vector_fields=["example_vector_"]) +clusterop.list_closest() +``` + +Generate clusters with sklearn +```{python} +from sklearn.cluster import AgglomerativeClustering + +cluster_model = AgglomerativeClustering() +clusterop = ds.cluster(vector_fields=["example_vector_"], model=cluster_model, alias="agglomerative") +clusterop.list_closest() +``` +[Learn more about how to flexibly configure your clustering ->](https://sdk.tryrelevance.com/docs/search) + +## 🧰 Config + +The config object contains the adjustable global settings for the SDK. For a description of all the settings, see [here](https://github.com/RelevanceAI/RelevanceAI/blob/development/relevanceai/constants/config.ini). + +To view setting options, run the following: + +```{python} +client.config.options +``` + +The syntax for selecting an option is section.key. For example, to disable logging, run the following to modify logging.enable_logging: + +```{python} +client.config.set_option('logging.enable_logging', False) +``` + +To restore all options to their default, run the following: + +### Changing the base URL + +You can change the base URL as such: + +```{python} +client.base_url = "https://.../latest" +``` + +## 🚧 Development + +### Getting Started +To get started with development, ensure you have pytest and mypy installed. These will help ensure typechecking and testing. + +```{bash} +python -m pip install pytest mypy +``` + +Then run testing using: + +> Don't forget to set your test credentials! + +```{bash} +export TEST_PROJECT = xxx +export TEST_API_KEY = xxx + +python -m pytest +mypy relevanceai +``` + +Set up precommit + +```{bash} +pip install precommit +pre-commit install +``` + + +%package -n python3-RelevanceAI +Summary: please add a summary manually as the author left a blank one +Provides: python-RelevanceAI +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-RelevanceAI + + +## Relevance AI - The ML Platform for Unstructured Data Analysis +[](https://relevanceai.readthedocs.io/en/latest/?badge=latest) +[](https://img.shields.io/pypi/l/relevanceai) + +🌎 80% of data in the world is unstructured in the form of text, image, audio, videos, and more. + +🔥 Use Relevance to unlock the value of your unstructured data: +- ⚡ Quickly analyze unstructured data with pre-trained machine learning models in a few lines of code. +- ✨ Visualize your unstructured data. Text highlights from Named entity recognition, Word cloud from keywords, Bounding box from images. +- 📊 Create charts for both structured and unstructured. +- 🔎 Drilldown with filters and similarity search to explore and find insights. +- 🚀 Share data apps with your team. + +[Sign up for a free account ->](https://hubs.ly/Q017CkXK0) + +Relevance AI also acts as a platform for: +- 🔑 Vectors, storing and querying vectors with flexible vector similarity search, that can be combined with multiple vectors, aggregates and filters. +- 🔮 ML Dataset Evaluation, for debugging dataset labels, model outputs and surfacing edge cases. + + +## 🧠 Documentation + +| Type | Link | +| ------------- | ----------- | +| Python API | [Documentation](https://sdk.tryrelevance.com/) | +| Python Reference | [Documentation](https://relevanceai.readthedocs.io/en/latest/) | +| Cloud Dashboard | [Documentation](https://docs.tryrelevance.com/) | + +## 🛠️ Installation + +Using pip: + +```{bash} +pip install -U relevanceai +``` +Using conda: + +```{bash} +conda install -c relevance relevanceai +``` + +## ⏩ Quickstart +[](https://colab.research.google.com/github/RelevanceAI/RelevanceAI/blob/development/guides/quickstart_guide.ipynb) + +Login to `relevanceai`: +```{python} +from relevanceai import Client + +client = Client() +``` + +Prepare your documents for insertion by following the below format: +- Each document should be a dictionary +- Include a field `_id` as a primary key, otherwise it's automatically generated +- Suffix vector fields with `_vector_` + +```{python} +docs = [ + {"_id": "1", "example_vector_": [0.1, 0.1, 0.1], "data": "Documentation"}, + {"_id": "2", "example_vector_": [0.2, 0.2, 0.2], "data": "Best document!"}, + {"_id": "3", "example_vector_": [0.3, 0.3, 0.3], "data": "document example"}, + {"_id": "4", "example_vector_": [0.4, 0.4, 0.4], "data": "this is another doc"}, + {"_id": "5", "example_vector_": [0.5, 0.5, 0.5], "data": "this is a doc"}, +] +``` + +### Insert data into a dataset + +Create a dataset object with the name of the dataset you'd like to use. If it doesn't exist, it'll be created for you. + +```{python} +ds = client.Dataset("quickstart") +ds.insert_documents(docs) +``` +> Quick tip! Our Dataset object is compatible with common dataframes methods like `.head()`, `.shape()` and `.info()`. + +### Perform vector search + +```{python} +query = [ + {"vector": [0.2, 0.2, 0.2], "field": "example_vector_"} +] +results = ds.search( + vector_search_query=query, + page_size=3, +) +``` +[Learn more about how to flexibly configure your vector search ->](https://sdk.tryrelevance.com/docs/search) + +### Perform clustering + +Generate clusters +```{python} +clusterop = ds.cluster(vector_fields=["example_vector_"]) +clusterop.list_closest() +``` + +Generate clusters with sklearn +```{python} +from sklearn.cluster import AgglomerativeClustering + +cluster_model = AgglomerativeClustering() +clusterop = ds.cluster(vector_fields=["example_vector_"], model=cluster_model, alias="agglomerative") +clusterop.list_closest() +``` +[Learn more about how to flexibly configure your clustering ->](https://sdk.tryrelevance.com/docs/search) + +## 🧰 Config + +The config object contains the adjustable global settings for the SDK. For a description of all the settings, see [here](https://github.com/RelevanceAI/RelevanceAI/blob/development/relevanceai/constants/config.ini). + +To view setting options, run the following: + +```{python} +client.config.options +``` + +The syntax for selecting an option is section.key. For example, to disable logging, run the following to modify logging.enable_logging: + +```{python} +client.config.set_option('logging.enable_logging', False) +``` + +To restore all options to their default, run the following: + +### Changing the base URL + +You can change the base URL as such: + +```{python} +client.base_url = "https://.../latest" +``` + +## 🚧 Development + +### Getting Started +To get started with development, ensure you have pytest and mypy installed. These will help ensure typechecking and testing. + +```{bash} +python -m pip install pytest mypy +``` + +Then run testing using: + +> Don't forget to set your test credentials! + +```{bash} +export TEST_PROJECT = xxx +export TEST_API_KEY = xxx + +python -m pytest +mypy relevanceai +``` + +Set up precommit + +```{bash} +pip install precommit +pre-commit install +``` + + +%package help +Summary: Development documents and examples for RelevanceAI +Provides: python3-RelevanceAI-doc +%description help + + +## Relevance AI - The ML Platform for Unstructured Data Analysis +[](https://relevanceai.readthedocs.io/en/latest/?badge=latest) +[](https://img.shields.io/pypi/l/relevanceai) + +🌎 80% of data in the world is unstructured in the form of text, image, audio, videos, and more. + +🔥 Use Relevance to unlock the value of your unstructured data: +- ⚡ Quickly analyze unstructured data with pre-trained machine learning models in a few lines of code. +- ✨ Visualize your unstructured data. Text highlights from Named entity recognition, Word cloud from keywords, Bounding box from images. +- 📊 Create charts for both structured and unstructured. +- 🔎 Drilldown with filters and similarity search to explore and find insights. +- 🚀 Share data apps with your team. + +[Sign up for a free account ->](https://hubs.ly/Q017CkXK0) + +Relevance AI also acts as a platform for: +- 🔑 Vectors, storing and querying vectors with flexible vector similarity search, that can be combined with multiple vectors, aggregates and filters. +- 🔮 ML Dataset Evaluation, for debugging dataset labels, model outputs and surfacing edge cases. + + +## 🧠 Documentation + +| Type | Link | +| ------------- | ----------- | +| Python API | [Documentation](https://sdk.tryrelevance.com/) | +| Python Reference | [Documentation](https://relevanceai.readthedocs.io/en/latest/) | +| Cloud Dashboard | [Documentation](https://docs.tryrelevance.com/) | + +## 🛠️ Installation + +Using pip: + +```{bash} +pip install -U relevanceai +``` +Using conda: + +```{bash} +conda install -c relevance relevanceai +``` + +## ⏩ Quickstart +[](https://colab.research.google.com/github/RelevanceAI/RelevanceAI/blob/development/guides/quickstart_guide.ipynb) + +Login to `relevanceai`: +```{python} +from relevanceai import Client + +client = Client() +``` + +Prepare your documents for insertion by following the below format: +- Each document should be a dictionary +- Include a field `_id` as a primary key, otherwise it's automatically generated +- Suffix vector fields with `_vector_` + +```{python} +docs = [ + {"_id": "1", "example_vector_": [0.1, 0.1, 0.1], "data": "Documentation"}, + {"_id": "2", "example_vector_": [0.2, 0.2, 0.2], "data": "Best document!"}, + {"_id": "3", "example_vector_": [0.3, 0.3, 0.3], "data": "document example"}, + {"_id": "4", "example_vector_": [0.4, 0.4, 0.4], "data": "this is another doc"}, + {"_id": "5", "example_vector_": [0.5, 0.5, 0.5], "data": "this is a doc"}, +] +``` + +### Insert data into a dataset + +Create a dataset object with the name of the dataset you'd like to use. If it doesn't exist, it'll be created for you. + +```{python} +ds = client.Dataset("quickstart") +ds.insert_documents(docs) +``` +> Quick tip! Our Dataset object is compatible with common dataframes methods like `.head()`, `.shape()` and `.info()`. + +### Perform vector search + +```{python} +query = [ + {"vector": [0.2, 0.2, 0.2], "field": "example_vector_"} +] +results = ds.search( + vector_search_query=query, + page_size=3, +) +``` +[Learn more about how to flexibly configure your vector search ->](https://sdk.tryrelevance.com/docs/search) + +### Perform clustering + +Generate clusters +```{python} +clusterop = ds.cluster(vector_fields=["example_vector_"]) +clusterop.list_closest() +``` + +Generate clusters with sklearn +```{python} +from sklearn.cluster import AgglomerativeClustering + +cluster_model = AgglomerativeClustering() +clusterop = ds.cluster(vector_fields=["example_vector_"], model=cluster_model, alias="agglomerative") +clusterop.list_closest() +``` +[Learn more about how to flexibly configure your clustering ->](https://sdk.tryrelevance.com/docs/search) + +## 🧰 Config + +The config object contains the adjustable global settings for the SDK. For a description of all the settings, see [here](https://github.com/RelevanceAI/RelevanceAI/blob/development/relevanceai/constants/config.ini). + +To view setting options, run the following: + +```{python} +client.config.options +``` + +The syntax for selecting an option is section.key. For example, to disable logging, run the following to modify logging.enable_logging: + +```{python} +client.config.set_option('logging.enable_logging', False) +``` + +To restore all options to their default, run the following: + +### Changing the base URL + +You can change the base URL as such: + +```{python} +client.base_url = "https://.../latest" +``` + +## 🚧 Development + +### Getting Started +To get started with development, ensure you have pytest and mypy installed. These will help ensure typechecking and testing. + +```{bash} +python -m pip install pytest mypy +``` + +Then run testing using: + +> Don't forget to set your test credentials! + +```{bash} +export TEST_PROJECT = xxx +export TEST_API_KEY = xxx + +python -m pytest +mypy relevanceai +``` + +Set up precommit + +```{bash} +pip install precommit +pre-commit install +``` + + +%prep +%autosetup -n RelevanceAI-3.2.22 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-RelevanceAI -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 3.2.22-1 +- Package Spec generated |