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|
%global _empty_manifest_terminate_build 0
Name: python-py-algorand-sdk
Version: 2.1.2
Release: 1
Summary: Algorand SDK in Python
License: MIT
URL: https://github.com/algorand/py-algorand-sdk
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/01/4e/61dac2820eae986ec6785f20368eef8a0186072e1bbab7dffdfccd727375/py-algorand-sdk-2.1.2.tar.gz
BuildArch: noarch
Requires: python3-pynacl
Requires: python3-pycryptodomex
Requires: python3-msgpack
%description
# py-algorand-sdk
[](https://badge.fury.io/py/py-algorand-sdk)
[](https://py-algorand-sdk.readthedocs.io/en/latest)
[](https://github.com/psf/black)
A python library for interacting with the Algorand network.
## Installation
Run `$ pip3 install py-algorand-sdk` to install the package.
Alternatively, choose a [distribution file](https://pypi.org/project/py-algorand-sdk/#files), and run `$ pip3 install [file name]`.
## Supported Python versions
py-algorand-sdk's minimum Python version policy attempts to balance several constraints.
* Make it easy for the community to use py-algorand-sdk by minimizing or excluding the need to customize Python installations.
* Provide maintainers with access to newer language features that produce more robust software.
Given these constraints, the minimum Python version policy is:
Target Python version on newest [Ubuntu LTS](https://wiki.ubuntu.com/Releases) released >= 6 months ago.
The rationale is:
* If a major Linux OS distribution bumps a Python version, then it's sufficiently available to the community for us to upgrade.
* The 6 month time buffer ensures we delay upgrades until the community starts using a recently released LTS version.
## SDK Development
Install dependencies
* `pip3 install -r requirements.txt`
Run tests
* `make docker-test`
Set up the Algorand Sandbox based test-harness without running the tests
* `make harness`
Format code
* `black .`
Update `algosdk/__init__.pyi` which allows downstream developers importing `algosdk` and using VSCode's PyLance to have improved type analysis
* `make generate-init`
Lint types
* `make mypy` (or `mypy algosdk`)
Check all lints required by the C.I. process
* `make lint`
Run non-test-harness related unit tests
* `make pytest-unit`
## Quick start
Here's a simple example you can run without a node.
```python
from algosdk import account, encoding
# generate an account
private_key, address = account.generate_account()
print("Private key:", private_key)
print("Address:", address)
# check if the address is valid
if encoding.is_valid_address(address):
print("The address is valid!")
else:
print("The address is invalid.")
```
## Node setup
Follow the instructions in Algorand's [developer resources](https://developer.algorand.org/docs/run-a-node/setup/install/) to install a node on your computer.
You can also set up a local [Algorand Sandbox](https://github.com/algorand/sandbox) with `make harness`.
## Running examples/example.py
Before running [example.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/example.py), start kmd on a private network or testnet node:
```bash
./goal kmd start -d [data directory]
```
Next, create a wallet and an account:
```bash
./goal wallet new [wallet name] -d [data directory]
```
```bash
./goal account new -d [data directory] -w [wallet name]
```
Visit the [Algorand dispenser](https://bank.testnet.algorand.network/) and enter the account address to fund your account.
Next, in [tokens.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/tokens.py), either update the tokens and addresses, or provide a path to the data directory. Alternatively, `tokens.py` also defaults to the sandbox harness configurations for algod and kmd, which can be brought up by running `make harness`.
You're now ready to run example.py!
## Documentation
Documentation for the Python SDK is available at [py-algorand-sdk.readthedocs.io](https://py-algorand-sdk.readthedocs.io/en/latest/).
## License
py-algorand-sdk is licensed under an MIT license. See the [LICENSE](https://github.com/algorand/py-algorand-sdk/blob/master/LICENSE) file for details.
%package -n python3-py-algorand-sdk
Summary: Algorand SDK in Python
Provides: python-py-algorand-sdk
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-py-algorand-sdk
# py-algorand-sdk
[](https://badge.fury.io/py/py-algorand-sdk)
[](https://py-algorand-sdk.readthedocs.io/en/latest)
[](https://github.com/psf/black)
A python library for interacting with the Algorand network.
## Installation
Run `$ pip3 install py-algorand-sdk` to install the package.
Alternatively, choose a [distribution file](https://pypi.org/project/py-algorand-sdk/#files), and run `$ pip3 install [file name]`.
## Supported Python versions
py-algorand-sdk's minimum Python version policy attempts to balance several constraints.
* Make it easy for the community to use py-algorand-sdk by minimizing or excluding the need to customize Python installations.
* Provide maintainers with access to newer language features that produce more robust software.
Given these constraints, the minimum Python version policy is:
Target Python version on newest [Ubuntu LTS](https://wiki.ubuntu.com/Releases) released >= 6 months ago.
The rationale is:
* If a major Linux OS distribution bumps a Python version, then it's sufficiently available to the community for us to upgrade.
* The 6 month time buffer ensures we delay upgrades until the community starts using a recently released LTS version.
## SDK Development
Install dependencies
* `pip3 install -r requirements.txt`
Run tests
* `make docker-test`
Set up the Algorand Sandbox based test-harness without running the tests
* `make harness`
Format code
* `black .`
Update `algosdk/__init__.pyi` which allows downstream developers importing `algosdk` and using VSCode's PyLance to have improved type analysis
* `make generate-init`
Lint types
* `make mypy` (or `mypy algosdk`)
Check all lints required by the C.I. process
* `make lint`
Run non-test-harness related unit tests
* `make pytest-unit`
## Quick start
Here's a simple example you can run without a node.
```python
from algosdk import account, encoding
# generate an account
private_key, address = account.generate_account()
print("Private key:", private_key)
print("Address:", address)
# check if the address is valid
if encoding.is_valid_address(address):
print("The address is valid!")
else:
print("The address is invalid.")
```
## Node setup
Follow the instructions in Algorand's [developer resources](https://developer.algorand.org/docs/run-a-node/setup/install/) to install a node on your computer.
You can also set up a local [Algorand Sandbox](https://github.com/algorand/sandbox) with `make harness`.
## Running examples/example.py
Before running [example.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/example.py), start kmd on a private network or testnet node:
```bash
./goal kmd start -d [data directory]
```
Next, create a wallet and an account:
```bash
./goal wallet new [wallet name] -d [data directory]
```
```bash
./goal account new -d [data directory] -w [wallet name]
```
Visit the [Algorand dispenser](https://bank.testnet.algorand.network/) and enter the account address to fund your account.
Next, in [tokens.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/tokens.py), either update the tokens and addresses, or provide a path to the data directory. Alternatively, `tokens.py` also defaults to the sandbox harness configurations for algod and kmd, which can be brought up by running `make harness`.
You're now ready to run example.py!
## Documentation
Documentation for the Python SDK is available at [py-algorand-sdk.readthedocs.io](https://py-algorand-sdk.readthedocs.io/en/latest/).
## License
py-algorand-sdk is licensed under an MIT license. See the [LICENSE](https://github.com/algorand/py-algorand-sdk/blob/master/LICENSE) file for details.
%package help
Summary: Development documents and examples for py-algorand-sdk
Provides: python3-py-algorand-sdk-doc
%description help
# py-algorand-sdk
[](https://badge.fury.io/py/py-algorand-sdk)
[](https://py-algorand-sdk.readthedocs.io/en/latest)
[](https://github.com/psf/black)
A python library for interacting with the Algorand network.
## Installation
Run `$ pip3 install py-algorand-sdk` to install the package.
Alternatively, choose a [distribution file](https://pypi.org/project/py-algorand-sdk/#files), and run `$ pip3 install [file name]`.
## Supported Python versions
py-algorand-sdk's minimum Python version policy attempts to balance several constraints.
* Make it easy for the community to use py-algorand-sdk by minimizing or excluding the need to customize Python installations.
* Provide maintainers with access to newer language features that produce more robust software.
Given these constraints, the minimum Python version policy is:
Target Python version on newest [Ubuntu LTS](https://wiki.ubuntu.com/Releases) released >= 6 months ago.
The rationale is:
* If a major Linux OS distribution bumps a Python version, then it's sufficiently available to the community for us to upgrade.
* The 6 month time buffer ensures we delay upgrades until the community starts using a recently released LTS version.
## SDK Development
Install dependencies
* `pip3 install -r requirements.txt`
Run tests
* `make docker-test`
Set up the Algorand Sandbox based test-harness without running the tests
* `make harness`
Format code
* `black .`
Update `algosdk/__init__.pyi` which allows downstream developers importing `algosdk` and using VSCode's PyLance to have improved type analysis
* `make generate-init`
Lint types
* `make mypy` (or `mypy algosdk`)
Check all lints required by the C.I. process
* `make lint`
Run non-test-harness related unit tests
* `make pytest-unit`
## Quick start
Here's a simple example you can run without a node.
```python
from algosdk import account, encoding
# generate an account
private_key, address = account.generate_account()
print("Private key:", private_key)
print("Address:", address)
# check if the address is valid
if encoding.is_valid_address(address):
print("The address is valid!")
else:
print("The address is invalid.")
```
## Node setup
Follow the instructions in Algorand's [developer resources](https://developer.algorand.org/docs/run-a-node/setup/install/) to install a node on your computer.
You can also set up a local [Algorand Sandbox](https://github.com/algorand/sandbox) with `make harness`.
## Running examples/example.py
Before running [example.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/example.py), start kmd on a private network or testnet node:
```bash
./goal kmd start -d [data directory]
```
Next, create a wallet and an account:
```bash
./goal wallet new [wallet name] -d [data directory]
```
```bash
./goal account new -d [data directory] -w [wallet name]
```
Visit the [Algorand dispenser](https://bank.testnet.algorand.network/) and enter the account address to fund your account.
Next, in [tokens.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/tokens.py), either update the tokens and addresses, or provide a path to the data directory. Alternatively, `tokens.py` also defaults to the sandbox harness configurations for algod and kmd, which can be brought up by running `make harness`.
You're now ready to run example.py!
## Documentation
Documentation for the Python SDK is available at [py-algorand-sdk.readthedocs.io](https://py-algorand-sdk.readthedocs.io/en/latest/).
## License
py-algorand-sdk is licensed under an MIT license. See the [LICENSE](https://github.com/algorand/py-algorand-sdk/blob/master/LICENSE) file for details.
%prep
%autosetup -n py-algorand-sdk-2.1.2
%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-py-algorand-sdk -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 2.1.2-1
- Package Spec generated
|
