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-rw-r--r--python-sqlite-utils.spec170
-rw-r--r--sources1
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+/sqlite-utils-3.30.tar.gz
diff --git a/python-sqlite-utils.spec b/python-sqlite-utils.spec
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+%global _empty_manifest_terminate_build 0
+Name: python-sqlite-utils
+Version: 3.30
+Release: 1
+Summary: CLI tool and Python utility functions for manipulating SQLite databases
+License: Apache License, Version 2.0
+URL: https://github.com/simonw/sqlite-utils
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ba/8d/9660dc531135779a1980e670d78d1402506e02fc1aaa10556da6ecf9960c/sqlite-utils-3.30.tar.gz
+BuildArch: noarch
+
+Requires: python3-sqlite-fts4
+Requires: python3-click
+Requires: python3-click-default-group-wheel
+Requires: python3-tabulate
+Requires: python3-dateutil
+Requires: python3-furo
+Requires: python3-sphinx-autobuild
+Requires: python3-codespell
+Requires: python3-sphinx-copybutton
+Requires: python3-beanbag-docutils
+Requires: python3-flake8
+Requires: python3-mypy
+Requires: python3-types-click
+Requires: python3-types-tabulate
+Requires: python3-types-python-dateutil
+Requires: python3-data-science-types
+Requires: python3-pytest
+Requires: python3-black
+Requires: python3-hypothesis
+Requires: python3-cogapp
+
+%description
+ 1 4 Cleo
+ 2 2 Pancakes
+You can import JSON data into a new database table like this:
+ $ curl https://api.github.com/repos/simonw/sqlite-utils/releases \
+ | sqlite-utils insert releases.db releases - --pk id
+Or for data in a CSV file:
+ $ sqlite-utils insert dogs.db dogs dogs.csv --csv
+`sqlite-utils memory` lets you import CSV or JSON data into an in-memory database and run SQL queries against it in a single command:
+ $ cat dogs.csv | sqlite-utils memory - "select name, age from stdin"
+See the [full CLI documentation](https://sqlite-utils.datasette.io/en/stable/cli.html) for comprehensive coverage of many more commands.
+## Using as a library
+You can also `import sqlite_utils` and use it as a Python library like this:
+```python
+import sqlite_utils
+db = sqlite_utils.Database("demo_database.db")
+# This line creates a "dogs" table if one does not already exist:
+db["dogs"].insert_all([
+ {"id": 1, "age": 4, "name": "Cleo"},
+ {"id": 2, "age": 2, "name": "Pancakes"}
+], pk="id")
+```
+Check out the [full library documentation](https://sqlite-utils.datasette.io/en/stable/python-api.html) for everything else you can do with the Python library.
+## Related projects
+* [Datasette](https://datasette.io/): A tool for exploring and publishing data
+* [csvs-to-sqlite](https://github.com/simonw/csvs-to-sqlite): Convert CSV files into a SQLite database
+* [db-to-sqlite](https://github.com/simonw/db-to-sqlite): CLI tool for exporting a MySQL or PostgreSQL database as a SQLite file
+* [dogsheep](https://dogsheep.github.io/): A family of tools for personal analytics, built on top of `sqlite-utils`
+
+%package -n python3-sqlite-utils
+Summary: CLI tool and Python utility functions for manipulating SQLite databases
+Provides: python-sqlite-utils
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-sqlite-utils
+ 1 4 Cleo
+ 2 2 Pancakes
+You can import JSON data into a new database table like this:
+ $ curl https://api.github.com/repos/simonw/sqlite-utils/releases \
+ | sqlite-utils insert releases.db releases - --pk id
+Or for data in a CSV file:
+ $ sqlite-utils insert dogs.db dogs dogs.csv --csv
+`sqlite-utils memory` lets you import CSV or JSON data into an in-memory database and run SQL queries against it in a single command:
+ $ cat dogs.csv | sqlite-utils memory - "select name, age from stdin"
+See the [full CLI documentation](https://sqlite-utils.datasette.io/en/stable/cli.html) for comprehensive coverage of many more commands.
+## Using as a library
+You can also `import sqlite_utils` and use it as a Python library like this:
+```python
+import sqlite_utils
+db = sqlite_utils.Database("demo_database.db")
+# This line creates a "dogs" table if one does not already exist:
+db["dogs"].insert_all([
+ {"id": 1, "age": 4, "name": "Cleo"},
+ {"id": 2, "age": 2, "name": "Pancakes"}
+], pk="id")
+```
+Check out the [full library documentation](https://sqlite-utils.datasette.io/en/stable/python-api.html) for everything else you can do with the Python library.
+## Related projects
+* [Datasette](https://datasette.io/): A tool for exploring and publishing data
+* [csvs-to-sqlite](https://github.com/simonw/csvs-to-sqlite): Convert CSV files into a SQLite database
+* [db-to-sqlite](https://github.com/simonw/db-to-sqlite): CLI tool for exporting a MySQL or PostgreSQL database as a SQLite file
+* [dogsheep](https://dogsheep.github.io/): A family of tools for personal analytics, built on top of `sqlite-utils`
+
+%package help
+Summary: Development documents and examples for sqlite-utils
+Provides: python3-sqlite-utils-doc
+%description help
+ 1 4 Cleo
+ 2 2 Pancakes
+You can import JSON data into a new database table like this:
+ $ curl https://api.github.com/repos/simonw/sqlite-utils/releases \
+ | sqlite-utils insert releases.db releases - --pk id
+Or for data in a CSV file:
+ $ sqlite-utils insert dogs.db dogs dogs.csv --csv
+`sqlite-utils memory` lets you import CSV or JSON data into an in-memory database and run SQL queries against it in a single command:
+ $ cat dogs.csv | sqlite-utils memory - "select name, age from stdin"
+See the [full CLI documentation](https://sqlite-utils.datasette.io/en/stable/cli.html) for comprehensive coverage of many more commands.
+## Using as a library
+You can also `import sqlite_utils` and use it as a Python library like this:
+```python
+import sqlite_utils
+db = sqlite_utils.Database("demo_database.db")
+# This line creates a "dogs" table if one does not already exist:
+db["dogs"].insert_all([
+ {"id": 1, "age": 4, "name": "Cleo"},
+ {"id": 2, "age": 2, "name": "Pancakes"}
+], pk="id")
+```
+Check out the [full library documentation](https://sqlite-utils.datasette.io/en/stable/python-api.html) for everything else you can do with the Python library.
+## Related projects
+* [Datasette](https://datasette.io/): A tool for exploring and publishing data
+* [csvs-to-sqlite](https://github.com/simonw/csvs-to-sqlite): Convert CSV files into a SQLite database
+* [db-to-sqlite](https://github.com/simonw/db-to-sqlite): CLI tool for exporting a MySQL or PostgreSQL database as a SQLite file
+* [dogsheep](https://dogsheep.github.io/): A family of tools for personal analytics, built on top of `sqlite-utils`
+
+%prep
+%autosetup -n sqlite-utils-3.30
+
+%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-sqlite-utils -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 3.30-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..f370b41
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+52664b3f9b763524f5b36a9df5ded8ef sqlite-utils-3.30.tar.gz