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|
%global _empty_manifest_terminate_build 0
Name: python-rec-avro
Version: 0.0.4
Release: 1
Summary: Avro schema and data converters supporting storing arbitrary nested python data structures.
License: MIT
URL: https://github.com/bmizhen/rec-avro
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e4/c1/6f85a5b6fce4f04bd5e1546e02ccb99c3699cc7d96e2826be044a5e395bb/rec-avro-0.0.4.tar.gz
BuildArch: noarch
%description
# rec-avro:
Avro support for JSON and other nested data structures.
Rec-avro provides a generic Avro schema and converter functions that allow for storing nested python data structures in avro.
Tested in Python 3 only.
## Installation:
```sh
$ pip3 install rec-avro
```
## Usage:
### With fastavro:
```python
from fastavro import writer, reader, schema
from rec_avro import to_rec_avro_destructive, from_rec_avro_destructive, rec_avro_schema
def json_objects():
return [{'a': 'a'}, {'b':'b'}]
# For efficiency, to_rec_avro_destructive() destroys rec, and reuses it's
# data structures to construct avro_objects
avro_objects = (to_rec_avro_destructive(rec) for rec in json_objects())
# store records in avro
with open('json_in_avro.avro', 'wb') as f_out:
writer(f_out, schema.parse_schema(rec_avro_schema()), avro_objects)
#load records from avro
with open('json_in_avro.avro', 'rb') as f_in:
# For efficiency, from_rec_avro_destructive(rec) destroys rec, and
# reuses it's data structures to construct it's output
loaded_json = [from_rec_avro_destructive(rec) for rec in reader(f_in)]
assert loaded_json == json_objects()
```
## Development:
```sh
# Running all tests:
$ python setup.py pytest
# Running tests manually
$ pip3 install fastavro pytest
$ python setup.py develop
$ pytest tests/test_rec_avro.py
```
%package -n python3-rec-avro
Summary: Avro schema and data converters supporting storing arbitrary nested python data structures.
Provides: python-rec-avro
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-rec-avro
# rec-avro:
Avro support for JSON and other nested data structures.
Rec-avro provides a generic Avro schema and converter functions that allow for storing nested python data structures in avro.
Tested in Python 3 only.
## Installation:
```sh
$ pip3 install rec-avro
```
## Usage:
### With fastavro:
```python
from fastavro import writer, reader, schema
from rec_avro import to_rec_avro_destructive, from_rec_avro_destructive, rec_avro_schema
def json_objects():
return [{'a': 'a'}, {'b':'b'}]
# For efficiency, to_rec_avro_destructive() destroys rec, and reuses it's
# data structures to construct avro_objects
avro_objects = (to_rec_avro_destructive(rec) for rec in json_objects())
# store records in avro
with open('json_in_avro.avro', 'wb') as f_out:
writer(f_out, schema.parse_schema(rec_avro_schema()), avro_objects)
#load records from avro
with open('json_in_avro.avro', 'rb') as f_in:
# For efficiency, from_rec_avro_destructive(rec) destroys rec, and
# reuses it's data structures to construct it's output
loaded_json = [from_rec_avro_destructive(rec) for rec in reader(f_in)]
assert loaded_json == json_objects()
```
## Development:
```sh
# Running all tests:
$ python setup.py pytest
# Running tests manually
$ pip3 install fastavro pytest
$ python setup.py develop
$ pytest tests/test_rec_avro.py
```
%package help
Summary: Development documents and examples for rec-avro
Provides: python3-rec-avro-doc
%description help
# rec-avro:
Avro support for JSON and other nested data structures.
Rec-avro provides a generic Avro schema and converter functions that allow for storing nested python data structures in avro.
Tested in Python 3 only.
## Installation:
```sh
$ pip3 install rec-avro
```
## Usage:
### With fastavro:
```python
from fastavro import writer, reader, schema
from rec_avro import to_rec_avro_destructive, from_rec_avro_destructive, rec_avro_schema
def json_objects():
return [{'a': 'a'}, {'b':'b'}]
# For efficiency, to_rec_avro_destructive() destroys rec, and reuses it's
# data structures to construct avro_objects
avro_objects = (to_rec_avro_destructive(rec) for rec in json_objects())
# store records in avro
with open('json_in_avro.avro', 'wb') as f_out:
writer(f_out, schema.parse_schema(rec_avro_schema()), avro_objects)
#load records from avro
with open('json_in_avro.avro', 'rb') as f_in:
# For efficiency, from_rec_avro_destructive(rec) destroys rec, and
# reuses it's data structures to construct it's output
loaded_json = [from_rec_avro_destructive(rec) for rec in reader(f_in)]
assert loaded_json == json_objects()
```
## Development:
```sh
# Running all tests:
$ python setup.py pytest
# Running tests manually
$ pip3 install fastavro pytest
$ python setup.py develop
$ pytest tests/test_rec_avro.py
```
%prep
%autosetup -n rec-avro-0.0.4
%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-rec-avro -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.4-1
- Package Spec generated
|
