%global _empty_manifest_terminate_build 0
Name: python-datacrunch
Version: 1.4.0
Release: 1
Summary: Official Python SDK for DataCrunch Public API
License: MIT License
URL: https://github.com/DataCrunch-io
Source0: https://mirrors.aliyun.com/pypi/web/packages/ee/fa/0d4492688757a6acbee5c0b562e50f8f3b8fc87c7f4a4d1b101903049877/datacrunch-1.4.0.tar.gz
BuildArch: noarch
Requires: python3-requests
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-pytest-responses
Requires: python3-responses
%description
# DataCrunch Python SDK
The official [DataCrunch.io](https://datacrunch.io) Python SDK.
The SDK's documentation is available on [ReadTheDocs](https://datacrunch-python.readthedocs.io/en/latest/)
DataCrunch's Public API documentation [is available here](https://datacrunch.stoplight.io/docs/datacrunch-public/docs/Overview/Introduction.md).
## Getting Started - Using the SDK:
- Install via pip:
```bash
pip3 install datacrunch
```
- Generate your client credentials - [instructions in the public API docs](https://datacrunch.stoplight.io/docs/datacrunch-public/docs/Overview/Quick-Start-Guide.md).
- Add the client secret to an environment variable (don't want it to be hardcoded):
Linux (bash):
```bash
export DATACRUNCH_CLIENT_SECRET=Z4CZq02rdwdB7ISV0k4Z2gtwAFKiyvr2U1l0KDIeYi
```
Other platforms:
https://en.wikipedia.org/wiki/Environment_variable
- Example for creating a new instance:
```python
import os
from datacrunch import DataCrunchClient
# Get client secret from environment variable
CLIENT_SECRET = os.environ['DATACRUNCH_CLIENT_SECRET']
CLIENT_ID = 'Ibk5bdxV64lKAWOqYnvSi'
# Create datcrunch client
datacrunch = DataCrunchClient(CLIENT_ID, CLIENT_SECRET)
# Get all SSH keys
ssh_keys = datacrunch.ssh_keys.get()
ssh_keys = list(map(lambda key: key.id, ssh_keys))
# Create a new instance
instance = datacrunch.instances.create(instance_type='1V100.6V',
image='fastai',
ssh_key_ids=ssh_keys,
hostname='example',
description='example instance')
# Delete instance
datacrunch.instances.action(instance.id, datacrunch.constants.instance_actions.DELETE)
```
More examples can be found in the `/examples` folder or in the [documentation](https://datacrunch-python.readthedocs.io/en/latest/).
## Development
### Setting up the local development environment
- Clone the repository:
```bash
git clone
```
- Create local virtual environment:
```bash
python3 -m venv datacrunch_env && source ./datacrunch_env/bin/activate
```
or if using [fish shell](https://fishshell.com/):
```fish
python3 -m venv datacrunch_env && source ./datacrunch_env/bin/activate.fish
```
- Install Dependencies:
```bash
pip3 install -e .[test]
pip3 install -U pytest
```
### Running Tests
We use pytest for testing.
- To execute all tests
```bash
pytest
```
- To execute a single test file
```bash
pytest ./tests/unit_tests/test_file.py
```
### Local Manual Testing
Create this file in the root directory of the project:
```python
from datacrunch.datacrunch import DataCrunchClient
CLIENT_SECRET = 'secret'
CLIENT_ID = 'Ibk5bdxV64lKAWOqYnvSi'
# Create datcrunch client
datacrunch = DataCrunchClient(CLIENT_ID, CLIENT_SECRET, base_url='http://localhost:3001/v1')
```
### Generating the documentation
If added a new service, create a documentation template under api/services for that service.
```bash
cd docs
make html
```
### Style Guide
Use autopep8 for auto code formatting:
```bash
# Install
pip3 install autopep8
# Apply to an entire directory
autopep8 directory_name --recursive --in-place --pep8-passes 2000 --verbose
# Or a single file
autopep8 file.py --in-place
```
## Contact
You can [contact us here](https://datacrunch.io/contact/), or send a message / open an issue in the repo.
%package -n python3-datacrunch
Summary: Official Python SDK for DataCrunch Public API
Provides: python-datacrunch
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-datacrunch
# DataCrunch Python SDK
The official [DataCrunch.io](https://datacrunch.io) Python SDK.
The SDK's documentation is available on [ReadTheDocs](https://datacrunch-python.readthedocs.io/en/latest/)
DataCrunch's Public API documentation [is available here](https://datacrunch.stoplight.io/docs/datacrunch-public/docs/Overview/Introduction.md).
## Getting Started - Using the SDK:
- Install via pip:
```bash
pip3 install datacrunch
```
- Generate your client credentials - [instructions in the public API docs](https://datacrunch.stoplight.io/docs/datacrunch-public/docs/Overview/Quick-Start-Guide.md).
- Add the client secret to an environment variable (don't want it to be hardcoded):
Linux (bash):
```bash
export DATACRUNCH_CLIENT_SECRET=Z4CZq02rdwdB7ISV0k4Z2gtwAFKiyvr2U1l0KDIeYi
```
Other platforms:
https://en.wikipedia.org/wiki/Environment_variable
- Example for creating a new instance:
```python
import os
from datacrunch import DataCrunchClient
# Get client secret from environment variable
CLIENT_SECRET = os.environ['DATACRUNCH_CLIENT_SECRET']
CLIENT_ID = 'Ibk5bdxV64lKAWOqYnvSi'
# Create datcrunch client
datacrunch = DataCrunchClient(CLIENT_ID, CLIENT_SECRET)
# Get all SSH keys
ssh_keys = datacrunch.ssh_keys.get()
ssh_keys = list(map(lambda key: key.id, ssh_keys))
# Create a new instance
instance = datacrunch.instances.create(instance_type='1V100.6V',
image='fastai',
ssh_key_ids=ssh_keys,
hostname='example',
description='example instance')
# Delete instance
datacrunch.instances.action(instance.id, datacrunch.constants.instance_actions.DELETE)
```
More examples can be found in the `/examples` folder or in the [documentation](https://datacrunch-python.readthedocs.io/en/latest/).
## Development
### Setting up the local development environment
- Clone the repository:
```bash
git clone
```
- Create local virtual environment:
```bash
python3 -m venv datacrunch_env && source ./datacrunch_env/bin/activate
```
or if using [fish shell](https://fishshell.com/):
```fish
python3 -m venv datacrunch_env && source ./datacrunch_env/bin/activate.fish
```
- Install Dependencies:
```bash
pip3 install -e .[test]
pip3 install -U pytest
```
### Running Tests
We use pytest for testing.
- To execute all tests
```bash
pytest
```
- To execute a single test file
```bash
pytest ./tests/unit_tests/test_file.py
```
### Local Manual Testing
Create this file in the root directory of the project:
```python
from datacrunch.datacrunch import DataCrunchClient
CLIENT_SECRET = 'secret'
CLIENT_ID = 'Ibk5bdxV64lKAWOqYnvSi'
# Create datcrunch client
datacrunch = DataCrunchClient(CLIENT_ID, CLIENT_SECRET, base_url='http://localhost:3001/v1')
```
### Generating the documentation
If added a new service, create a documentation template under api/services for that service.
```bash
cd docs
make html
```
### Style Guide
Use autopep8 for auto code formatting:
```bash
# Install
pip3 install autopep8
# Apply to an entire directory
autopep8 directory_name --recursive --in-place --pep8-passes 2000 --verbose
# Or a single file
autopep8 file.py --in-place
```
## Contact
You can [contact us here](https://datacrunch.io/contact/), or send a message / open an issue in the repo.
%package help
Summary: Development documents and examples for datacrunch
Provides: python3-datacrunch-doc
%description help
# DataCrunch Python SDK
The official [DataCrunch.io](https://datacrunch.io) Python SDK.
The SDK's documentation is available on [ReadTheDocs](https://datacrunch-python.readthedocs.io/en/latest/)
DataCrunch's Public API documentation [is available here](https://datacrunch.stoplight.io/docs/datacrunch-public/docs/Overview/Introduction.md).
## Getting Started - Using the SDK:
- Install via pip:
```bash
pip3 install datacrunch
```
- Generate your client credentials - [instructions in the public API docs](https://datacrunch.stoplight.io/docs/datacrunch-public/docs/Overview/Quick-Start-Guide.md).
- Add the client secret to an environment variable (don't want it to be hardcoded):
Linux (bash):
```bash
export DATACRUNCH_CLIENT_SECRET=Z4CZq02rdwdB7ISV0k4Z2gtwAFKiyvr2U1l0KDIeYi
```
Other platforms:
https://en.wikipedia.org/wiki/Environment_variable
- Example for creating a new instance:
```python
import os
from datacrunch import DataCrunchClient
# Get client secret from environment variable
CLIENT_SECRET = os.environ['DATACRUNCH_CLIENT_SECRET']
CLIENT_ID = 'Ibk5bdxV64lKAWOqYnvSi'
# Create datcrunch client
datacrunch = DataCrunchClient(CLIENT_ID, CLIENT_SECRET)
# Get all SSH keys
ssh_keys = datacrunch.ssh_keys.get()
ssh_keys = list(map(lambda key: key.id, ssh_keys))
# Create a new instance
instance = datacrunch.instances.create(instance_type='1V100.6V',
image='fastai',
ssh_key_ids=ssh_keys,
hostname='example',
description='example instance')
# Delete instance
datacrunch.instances.action(instance.id, datacrunch.constants.instance_actions.DELETE)
```
More examples can be found in the `/examples` folder or in the [documentation](https://datacrunch-python.readthedocs.io/en/latest/).
## Development
### Setting up the local development environment
- Clone the repository:
```bash
git clone
```
- Create local virtual environment:
```bash
python3 -m venv datacrunch_env && source ./datacrunch_env/bin/activate
```
or if using [fish shell](https://fishshell.com/):
```fish
python3 -m venv datacrunch_env && source ./datacrunch_env/bin/activate.fish
```
- Install Dependencies:
```bash
pip3 install -e .[test]
pip3 install -U pytest
```
### Running Tests
We use pytest for testing.
- To execute all tests
```bash
pytest
```
- To execute a single test file
```bash
pytest ./tests/unit_tests/test_file.py
```
### Local Manual Testing
Create this file in the root directory of the project:
```python
from datacrunch.datacrunch import DataCrunchClient
CLIENT_SECRET = 'secret'
CLIENT_ID = 'Ibk5bdxV64lKAWOqYnvSi'
# Create datcrunch client
datacrunch = DataCrunchClient(CLIENT_ID, CLIENT_SECRET, base_url='http://localhost:3001/v1')
```
### Generating the documentation
If added a new service, create a documentation template under api/services for that service.
```bash
cd docs
make html
```
### Style Guide
Use autopep8 for auto code formatting:
```bash
# Install
pip3 install autopep8
# Apply to an entire directory
autopep8 directory_name --recursive --in-place --pep8-passes 2000 --verbose
# Or a single file
autopep8 file.py --in-place
```
## Contact
You can [contact us here](https://datacrunch.io/contact/), or send a message / open an issue in the repo.
%prep
%autosetup -n datacrunch-1.4.0
%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-datacrunch -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot - 1.4.0-1
- Package Spec generated