%global _empty_manifest_terminate_build 0
Name: python-aiowatttime
Version: 2022.10.0
Release: 1
Summary: An asyncio-based Python3 library for interacting with WattTime
License: MIT
URL: https://github.com/bachya/aiowatttime
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/36/1c/13d432539e2e5cc7dfc3bbd3527b8c3458e96f7cfb261e9b61619e5c201d/aiowatttime-2022.10.0.tar.gz
BuildArch: noarch
Requires: python3-aiohttp
%description
# 🌎 aiowatttime: an asyncio-based, Python3 library for WattTime emissions data
[](https://github.com/bachya/aiowatttime/actions)
[](https://pypi.python.org/pypi/aiowatttime)
[](https://pypi.python.org/pypi/aiowatttime)
[](https://github.com/bachya/aiowatttime/blob/main/LICENSE)
[](https://codecov.io/gh/bachya/aiowatttime)
[](https://codeclimate.com/github/bachya/aiowatttime/maintainability)
[](https://saythanks.io/to/bachya)
`aiowatttime` is a Python 3, asyncio-friendly library for interacting with
[WattTime](https://www.watttime.org) emissions data.
- [Python Versions](#python-versions)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
# Python Versions
`aiowatttime` is currently supported on:
- Python 3.9
- Python 3.10
- Python 3.11
# Installation
```bash
pip install aiowatttime
```
# Usage
## Getting an API Key
Simply clone this repo and run the included interactive script:
```bash
$ script/register
```
Note that WattTime offers three plans: Visitors, Analyst, and Pro. The type you use
will determine which elements of this library are available to use. You can read more
details here: https://www.watttime.org/get-the-data/data-plans/
## Creating and Using a Client
The `Client` is the primary method of interacting with the API:
```python
import asyncio
from aiowatttime import Client
async def main() -> None:
client = await Client.login("", "")
# ...
asyncio.run(main())
```
By default, the library creates a new connection to the API with each coroutine. If
you are calling a large number of coroutines (or merely want to squeeze out every second of runtime savings possible), an
[`aiohttp`](https://github.com/aio-libs/aiohttp) `ClientSession` can be used for connection
pooling:
```python
import asyncio
from aiohttp import ClientSession
from aiowatttime import Client
async def main() -> None:
async with ClientSession() as session:
client = await Client.login("", "", session=session)
# ...
asyncio.run(main())
```
## Programmatically Requesting a Password Reset
```python
await client.async_request_password_reset()
```
## Getting Emissions Data
### Grid Region
It may be useful to first get the "grid region" (i.e., geographical info) for the area
you care about:
```python
await client.emissions.async_get_grid_region("", "")
# >>> { "id": 263, "abbrev": "PJM_NJ", "name": "PJM New Jersey" }
```
Getting emissions data will require either your latitude/longitude _or_ the "balancing
authority abbreviation" (`PJM_NJ` in the example above).
### Realtime Data
```python
await client.emissions.async_get_realtime_emissions("", "")
# >>> { "freq": "300", "ba": "CAISO_NORTH", "percent": "53", "moer": "850.743982", ... }
```
### Forecasted Data
```python
await client.emissions.async_get_forecasted_emissions("")
# >>> [ { "generated_at": "2021-08-05T09:05:00+00:00", "forecast": [...] } ]
```
You can also get the forecasted data using a specific start and end `datetime.datetime`:
```python
from datetime import datetime
await client.emissions.async_get_forecasted_emissions(
"",
start_datetime=datetime(2021, 1, 1),
end_datetime=datetime(2021, 2, 1),
)
# >>> [ { "generated_at": "2021-08-05T09:05:00+00:00", "forecast": [...] } ]
```
### Historical Data
```python
await client.emissions.async_get_historical_emissions("", "")
# >>> [ { "point_time": "2019-02-21T00:15:00.000Z", "value": 844, ... } ]
```
You can also get the historical data using a specific start and end `datetime.datetime`:
```python
from datetime import datetime
await client.emissions.async_get_historical_emissions(
"",
"",
start_datetime=datetime(2021, 1, 1),
end_datetime=datetime(2021, 2, 1),
)
# >>> [ { "point_time": "2019-02-21T00:15:00.000Z", "value": 844, ... } ]
```
## Retry Logic
By default, `aiowatttime` will handle expired access tokens for you. When a token expires,
the library will attempt the following sequence 3 times:
- Request a new token
- Pause for 1 second (to be respectful of the API rate limiting)
- Execute the original request again
Both the number of retries and the delay between retries can be configured when
instantiating a client:
```python
import asyncio
from aiohttp import ClientSession
from aiowatttime import Client
async def main() -> None:
async with ClientSession() as session:
client = await Client.async_login(
"user",
"password",
session=session,
# Make 7 retry attempts:
request_retries=7,
# Delay 4 seconds between attempts:
request_retry_delay=4,
)
asyncio.run(main())
```
As always, an invalid username/password combination will immediately throw an exception.
## Custom Logger
By default, `aiowatttime` provides its own logger. If you should wish to use your own, you
can pass it to the client during instantiation:
```python
import asyncio
import logging
from aiohttp import ClientSession
from aiowatttime import Client
CUSTOM_LOGGER = logging.getLogger("my_custom_logger")
async def main() -> None:
async with ClientSession() as session:
client = await Client.async_login(
"user",
"password",
session=session,
logger=logger,
)
asyncio.run(main())
```
# Contributing
1. [Check for open features/bugs](https://github.com/bachya/aiowatttime/issues)
or [initiate a discussion on one](https://github.com/bachya/aiowatttime/issues/new).
2. [Fork the repository](https://github.com/bachya/aiowatttime/fork).
3. (_optional, but highly recommended_) Create a virtual environment: `python3 -m venv .venv`
4. (_optional, but highly recommended_) Enter the virtual environment: `source ./venv/bin/activate`
5. Install the dev environment: `script/setup`
6. Code your new feature or bug fix.
7. Write tests that cover your new functionality.
8. Run tests and ensure 100% code coverage: `poetry run pytest --cov aiowatttime tests`
9. Update `README.md` with any new documentation.
10. Add yourself to `AUTHORS.md`.
11. Submit a pull request!
%package -n python3-aiowatttime
Summary: An asyncio-based Python3 library for interacting with WattTime
Provides: python-aiowatttime
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-aiowatttime
# 🌎 aiowatttime: an asyncio-based, Python3 library for WattTime emissions data
[](https://github.com/bachya/aiowatttime/actions)
[](https://pypi.python.org/pypi/aiowatttime)
[](https://pypi.python.org/pypi/aiowatttime)
[](https://github.com/bachya/aiowatttime/blob/main/LICENSE)
[](https://codecov.io/gh/bachya/aiowatttime)
[](https://codeclimate.com/github/bachya/aiowatttime/maintainability)
[](https://saythanks.io/to/bachya)
`aiowatttime` is a Python 3, asyncio-friendly library for interacting with
[WattTime](https://www.watttime.org) emissions data.
- [Python Versions](#python-versions)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
# Python Versions
`aiowatttime` is currently supported on:
- Python 3.9
- Python 3.10
- Python 3.11
# Installation
```bash
pip install aiowatttime
```
# Usage
## Getting an API Key
Simply clone this repo and run the included interactive script:
```bash
$ script/register
```
Note that WattTime offers three plans: Visitors, Analyst, and Pro. The type you use
will determine which elements of this library are available to use. You can read more
details here: https://www.watttime.org/get-the-data/data-plans/
## Creating and Using a Client
The `Client` is the primary method of interacting with the API:
```python
import asyncio
from aiowatttime import Client
async def main() -> None:
client = await Client.login("", "")
# ...
asyncio.run(main())
```
By default, the library creates a new connection to the API with each coroutine. If
you are calling a large number of coroutines (or merely want to squeeze out every second of runtime savings possible), an
[`aiohttp`](https://github.com/aio-libs/aiohttp) `ClientSession` can be used for connection
pooling:
```python
import asyncio
from aiohttp import ClientSession
from aiowatttime import Client
async def main() -> None:
async with ClientSession() as session:
client = await Client.login("", "", session=session)
# ...
asyncio.run(main())
```
## Programmatically Requesting a Password Reset
```python
await client.async_request_password_reset()
```
## Getting Emissions Data
### Grid Region
It may be useful to first get the "grid region" (i.e., geographical info) for the area
you care about:
```python
await client.emissions.async_get_grid_region("", "")
# >>> { "id": 263, "abbrev": "PJM_NJ", "name": "PJM New Jersey" }
```
Getting emissions data will require either your latitude/longitude _or_ the "balancing
authority abbreviation" (`PJM_NJ` in the example above).
### Realtime Data
```python
await client.emissions.async_get_realtime_emissions("", "")
# >>> { "freq": "300", "ba": "CAISO_NORTH", "percent": "53", "moer": "850.743982", ... }
```
### Forecasted Data
```python
await client.emissions.async_get_forecasted_emissions("")
# >>> [ { "generated_at": "2021-08-05T09:05:00+00:00", "forecast": [...] } ]
```
You can also get the forecasted data using a specific start and end `datetime.datetime`:
```python
from datetime import datetime
await client.emissions.async_get_forecasted_emissions(
"",
start_datetime=datetime(2021, 1, 1),
end_datetime=datetime(2021, 2, 1),
)
# >>> [ { "generated_at": "2021-08-05T09:05:00+00:00", "forecast": [...] } ]
```
### Historical Data
```python
await client.emissions.async_get_historical_emissions("", "")
# >>> [ { "point_time": "2019-02-21T00:15:00.000Z", "value": 844, ... } ]
```
You can also get the historical data using a specific start and end `datetime.datetime`:
```python
from datetime import datetime
await client.emissions.async_get_historical_emissions(
"",
"",
start_datetime=datetime(2021, 1, 1),
end_datetime=datetime(2021, 2, 1),
)
# >>> [ { "point_time": "2019-02-21T00:15:00.000Z", "value": 844, ... } ]
```
## Retry Logic
By default, `aiowatttime` will handle expired access tokens for you. When a token expires,
the library will attempt the following sequence 3 times:
- Request a new token
- Pause for 1 second (to be respectful of the API rate limiting)
- Execute the original request again
Both the number of retries and the delay between retries can be configured when
instantiating a client:
```python
import asyncio
from aiohttp import ClientSession
from aiowatttime import Client
async def main() -> None:
async with ClientSession() as session:
client = await Client.async_login(
"user",
"password",
session=session,
# Make 7 retry attempts:
request_retries=7,
# Delay 4 seconds between attempts:
request_retry_delay=4,
)
asyncio.run(main())
```
As always, an invalid username/password combination will immediately throw an exception.
## Custom Logger
By default, `aiowatttime` provides its own logger. If you should wish to use your own, you
can pass it to the client during instantiation:
```python
import asyncio
import logging
from aiohttp import ClientSession
from aiowatttime import Client
CUSTOM_LOGGER = logging.getLogger("my_custom_logger")
async def main() -> None:
async with ClientSession() as session:
client = await Client.async_login(
"user",
"password",
session=session,
logger=logger,
)
asyncio.run(main())
```
# Contributing
1. [Check for open features/bugs](https://github.com/bachya/aiowatttime/issues)
or [initiate a discussion on one](https://github.com/bachya/aiowatttime/issues/new).
2. [Fork the repository](https://github.com/bachya/aiowatttime/fork).
3. (_optional, but highly recommended_) Create a virtual environment: `python3 -m venv .venv`
4. (_optional, but highly recommended_) Enter the virtual environment: `source ./venv/bin/activate`
5. Install the dev environment: `script/setup`
6. Code your new feature or bug fix.
7. Write tests that cover your new functionality.
8. Run tests and ensure 100% code coverage: `poetry run pytest --cov aiowatttime tests`
9. Update `README.md` with any new documentation.
10. Add yourself to `AUTHORS.md`.
11. Submit a pull request!
%package help
Summary: Development documents and examples for aiowatttime
Provides: python3-aiowatttime-doc
%description help
# 🌎 aiowatttime: an asyncio-based, Python3 library for WattTime emissions data
[](https://github.com/bachya/aiowatttime/actions)
[](https://pypi.python.org/pypi/aiowatttime)
[](https://pypi.python.org/pypi/aiowatttime)
[](https://github.com/bachya/aiowatttime/blob/main/LICENSE)
[](https://codecov.io/gh/bachya/aiowatttime)
[](https://codeclimate.com/github/bachya/aiowatttime/maintainability)
[](https://saythanks.io/to/bachya)
`aiowatttime` is a Python 3, asyncio-friendly library for interacting with
[WattTime](https://www.watttime.org) emissions data.
- [Python Versions](#python-versions)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
# Python Versions
`aiowatttime` is currently supported on:
- Python 3.9
- Python 3.10
- Python 3.11
# Installation
```bash
pip install aiowatttime
```
# Usage
## Getting an API Key
Simply clone this repo and run the included interactive script:
```bash
$ script/register
```
Note that WattTime offers three plans: Visitors, Analyst, and Pro. The type you use
will determine which elements of this library are available to use. You can read more
details here: https://www.watttime.org/get-the-data/data-plans/
## Creating and Using a Client
The `Client` is the primary method of interacting with the API:
```python
import asyncio
from aiowatttime import Client
async def main() -> None:
client = await Client.login("", "")
# ...
asyncio.run(main())
```
By default, the library creates a new connection to the API with each coroutine. If
you are calling a large number of coroutines (or merely want to squeeze out every second of runtime savings possible), an
[`aiohttp`](https://github.com/aio-libs/aiohttp) `ClientSession` can be used for connection
pooling:
```python
import asyncio
from aiohttp import ClientSession
from aiowatttime import Client
async def main() -> None:
async with ClientSession() as session:
client = await Client.login("", "", session=session)
# ...
asyncio.run(main())
```
## Programmatically Requesting a Password Reset
```python
await client.async_request_password_reset()
```
## Getting Emissions Data
### Grid Region
It may be useful to first get the "grid region" (i.e., geographical info) for the area
you care about:
```python
await client.emissions.async_get_grid_region("", "")
# >>> { "id": 263, "abbrev": "PJM_NJ", "name": "PJM New Jersey" }
```
Getting emissions data will require either your latitude/longitude _or_ the "balancing
authority abbreviation" (`PJM_NJ` in the example above).
### Realtime Data
```python
await client.emissions.async_get_realtime_emissions("", "")
# >>> { "freq": "300", "ba": "CAISO_NORTH", "percent": "53", "moer": "850.743982", ... }
```
### Forecasted Data
```python
await client.emissions.async_get_forecasted_emissions("")
# >>> [ { "generated_at": "2021-08-05T09:05:00+00:00", "forecast": [...] } ]
```
You can also get the forecasted data using a specific start and end `datetime.datetime`:
```python
from datetime import datetime
await client.emissions.async_get_forecasted_emissions(
"",
start_datetime=datetime(2021, 1, 1),
end_datetime=datetime(2021, 2, 1),
)
# >>> [ { "generated_at": "2021-08-05T09:05:00+00:00", "forecast": [...] } ]
```
### Historical Data
```python
await client.emissions.async_get_historical_emissions("", "")
# >>> [ { "point_time": "2019-02-21T00:15:00.000Z", "value": 844, ... } ]
```
You can also get the historical data using a specific start and end `datetime.datetime`:
```python
from datetime import datetime
await client.emissions.async_get_historical_emissions(
"",
"",
start_datetime=datetime(2021, 1, 1),
end_datetime=datetime(2021, 2, 1),
)
# >>> [ { "point_time": "2019-02-21T00:15:00.000Z", "value": 844, ... } ]
```
## Retry Logic
By default, `aiowatttime` will handle expired access tokens for you. When a token expires,
the library will attempt the following sequence 3 times:
- Request a new token
- Pause for 1 second (to be respectful of the API rate limiting)
- Execute the original request again
Both the number of retries and the delay between retries can be configured when
instantiating a client:
```python
import asyncio
from aiohttp import ClientSession
from aiowatttime import Client
async def main() -> None:
async with ClientSession() as session:
client = await Client.async_login(
"user",
"password",
session=session,
# Make 7 retry attempts:
request_retries=7,
# Delay 4 seconds between attempts:
request_retry_delay=4,
)
asyncio.run(main())
```
As always, an invalid username/password combination will immediately throw an exception.
## Custom Logger
By default, `aiowatttime` provides its own logger. If you should wish to use your own, you
can pass it to the client during instantiation:
```python
import asyncio
import logging
from aiohttp import ClientSession
from aiowatttime import Client
CUSTOM_LOGGER = logging.getLogger("my_custom_logger")
async def main() -> None:
async with ClientSession() as session:
client = await Client.async_login(
"user",
"password",
session=session,
logger=logger,
)
asyncio.run(main())
```
# Contributing
1. [Check for open features/bugs](https://github.com/bachya/aiowatttime/issues)
or [initiate a discussion on one](https://github.com/bachya/aiowatttime/issues/new).
2. [Fork the repository](https://github.com/bachya/aiowatttime/fork).
3. (_optional, but highly recommended_) Create a virtual environment: `python3 -m venv .venv`
4. (_optional, but highly recommended_) Enter the virtual environment: `source ./venv/bin/activate`
5. Install the dev environment: `script/setup`
6. Code your new feature or bug fix.
7. Write tests that cover your new functionality.
8. Run tests and ensure 100% code coverage: `poetry run pytest --cov aiowatttime tests`
9. Update `README.md` with any new documentation.
10. Add yourself to `AUTHORS.md`.
11. Submit a pull request!
%prep
%autosetup -n aiowatttime-2022.10.0
%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-aiowatttime -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot - 2022.10.0-1
- Package Spec generated