aiowatttime


Nameaiowatttime JSON
Version 2024.6.0 PyPI version JSON
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home_pagehttps://github.com/bachya/aiowatttime
SummaryAn asyncio-based Python3 library for interacting with WattTime
upload_time2024-06-18 19:30:12
maintainerNone
docs_urlNone
authorAaron Bach
requires_python<4.0,>=3.10
licenseMIT
keywords
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requirements No requirements were recorded.
Travis-CI No Travis.
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            # 🌎 aiowatttime: an asyncio-based, Python3 library for WattTime emissions data

[![CI][ci-badge]][ci]
[![PyPI][pypi-badge]][pypi]
[![Version][version-badge]][version]
[![License][license-badge]][license]
[![Code Coverage][codecov-badge]][codecov]
[![Maintainability][maintainability-badge]][maintainability]

<a href="https://www.buymeacoffee.com/bachya1208P" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" alt="Buy Me A Coffee" height="41" width="174"></a>

`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 3.10
- Python 3.11
- Python 3.12

# 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][watttime-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("<USERNAME>", "<PASSWORD>")
    # ...


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`][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("<USERNAME>", "<PASSWORD>", 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(
    "<LATITUDE>", "<LONGITUDE>", "<SIGNAL_TYPE>"
)
# >>> { "region": "PSCO", "region_full_name": "Public Service Co of Colorado", "signal_type": "co2_moer" }
```

Getting emissions data will require the region abbreviation (`PSCO` in the example above).

### Realtime Data

```python
await client.emissions.async_get_realtime_emissions("<REGION>")
# >>>
{"data": [...]}
```

### Forecasted Data

```python
from datetime import datetime

await client.emissions.async_get_forecasted_emissions(
    "<REGION>", "<SIGNAL_TYPE>", datetime(2021, 1, 1), datetime(2021, 2, 1)
)
# >>> { "data": [ ... ] }
```

### Historical Data

```python
await client.emissions.async_get_forecasted_emissions(
    "<REGION>", "<SIGNAL_TYPE>", datetime(2021, 1, 1), 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

Thanks to all of [our contributors][contributors] so far!

1. [Check for open features/bugs][issues] or [initiate a discussion on one][new-issue].
2. [Fork the repository][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 on a new branch.
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. Submit a pull request!

[aiohttp]: https://github.com/aio-libs/aiohttp
[ci-badge]: https://img.shields.io/github/actions/workflow/status/bachya/aiowatttime/test.yml
[ci]: https://github.com/bachya/aiowatttime/actions
[codecov-badge]: https://codecov.io/gh/bachya/aiowatttime/branch/dev/graph/badge.svg
[codecov]: https://codecov.io/gh/bachya/aiowatttime
[contributors]: https://github.com/bachya/aiowatttime/graphs/contributors
[fork]: https://github.com/bachya/aiowatttime/fork
[issues]: https://github.com/bachya/aiowatttime/issues
[license-badge]: https://img.shields.io/pypi/l/aiowatttime.svg
[license]: https://github.com/bachya/aiowatttime/blob/main/LICENSE
[maintainability-badge]: https://api.codeclimate.com/v1/badges/781e64940b1302ae9ac3/maintainability
[maintainability]: https://codeclimate.com/github/bachya/aiowatttime/maintainability
[new-issue]: https://github.com/bachya/aiowatttime/issues/new
[new-issue]: https://github.com/bachya/aiowatttime/issues/new
[pypi-badge]: https://img.shields.io/pypi/v/aiowatttime.svg
[pypi]: https://pypi.python.org/pypi/aiowatttime
[version-badge]: https://img.shields.io/pypi/pyversions/aiowatttime.svg
[version]: https://pypi.python.org/pypi/aiowatttime
[watttime]: https://www.watttime.org
[watttime-data-plans]: https://www.watttime.org/get-the-data/data-plans/

            

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    "description": "# \ud83c\udf0e aiowatttime: an asyncio-based, Python3 library for WattTime emissions data\n\n[![CI][ci-badge]][ci]\n[![PyPI][pypi-badge]][pypi]\n[![Version][version-badge]][version]\n[![License][license-badge]][license]\n[![Code Coverage][codecov-badge]][codecov]\n[![Maintainability][maintainability-badge]][maintainability]\n\n<a href=\"https://www.buymeacoffee.com/bachya1208P\" target=\"_blank\"><img src=\"https://cdn.buymeacoffee.com/buttons/default-orange.png\" alt=\"Buy Me A Coffee\" height=\"41\" width=\"174\"></a>\n\n`aiowatttime` is a Python 3, asyncio-friendly library for interacting with\n[WattTime](https://www.watttime.org) emissions data.\n\n- [Python Versions](#python-versions)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Contributing](#contributing)\n\n# Python Versions\n\n`aiowatttime` is currently supported on:\n\n- Python 3.10\n- Python 3.11\n- Python 3.12\n\n# Installation\n\n```bash\npip install aiowatttime\n```\n\n# Usage\n\n## Getting an API Key\n\nSimply clone this repo and run the included interactive script:\n\n```bash\n$ script/register\n```\n\nNote that WattTime offers three plans: Visitors, Analyst, and Pro. The type you use\nwill determine which elements of this library are available to use. You can read more\ndetails [here][watttime-data-plans].\n\n## Creating and Using a Client\n\nThe `Client` is the primary method of interacting with the API:\n\n```python\nimport asyncio\n\nfrom aiowatttime import Client\n\n\nasync def main() -> None:\n    client = await Client.login(\"<USERNAME>\", \"<PASSWORD>\")\n    # ...\n\n\nasyncio.run(main())\n```\n\nBy default, the library creates a new connection to the API with each coroutine. If\nyou are calling a large number of coroutines (or merely want to squeeze out every second\nof runtime savings possible), an [`aiohttp`][aiohttp] `ClientSession` can be used for\nconnection pooling:\n\n```python\nimport asyncio\n\nfrom aiohttp import ClientSession\n\nfrom aiowatttime import Client\n\n\nasync def main() -> None:\n    async with ClientSession() as session:\n        client = await Client.login(\"<USERNAME>\", \"<PASSWORD>\", session=session)\n        # ...\n\n\nasyncio.run(main())\n```\n\n## Programmatically Requesting a Password Reset\n\n```python\nawait client.async_request_password_reset()\n```\n\n## Getting Emissions Data\n\n### Grid Region\n\nIt may be useful to first get the \"grid region\" (i.e., geographical info) for the area\nyou care about:\n\n```python\nawait client.emissions.async_get_grid_region(\n    \"<LATITUDE>\", \"<LONGITUDE>\", \"<SIGNAL_TYPE>\"\n)\n# >>> { \"region\": \"PSCO\", \"region_full_name\": \"Public Service Co of Colorado\", \"signal_type\": \"co2_moer\" }\n```\n\nGetting emissions data will require the region abbreviation (`PSCO` in the example above).\n\n### Realtime Data\n\n```python\nawait client.emissions.async_get_realtime_emissions(\"<REGION>\")\n# >>>\n{\"data\": [...]}\n```\n\n### Forecasted Data\n\n```python\nfrom datetime import datetime\n\nawait client.emissions.async_get_forecasted_emissions(\n    \"<REGION>\", \"<SIGNAL_TYPE>\", datetime(2021, 1, 1), datetime(2021, 2, 1)\n)\n# >>> { \"data\": [ ... ] }\n```\n\n### Historical Data\n\n```python\nawait client.emissions.async_get_forecasted_emissions(\n    \"<REGION>\", \"<SIGNAL_TYPE>\", datetime(2021, 1, 1), datetime(2021, 2, 1)\n)\n# >>> [ { \"point_time\": \"2019-02-21T00:15:00.000Z\", \"value\": 844, ... } ]\n```\n\n## Retry Logic\n\nBy default, `aiowatttime` will handle expired access tokens for you. When a token expires,\nthe library will attempt the following sequence 3 times:\n\n- Request a new token\n- Pause for 1 second (to be respectful of the API rate limiting)\n- Execute the original request again\n\nBoth the number of retries and the delay between retries can be configured when\ninstantiating a client:\n\n```python\nimport asyncio\n\nfrom aiohttp import ClientSession\n\nfrom aiowatttime import Client\n\n\nasync def main() -> None:\n    async with ClientSession() as session:\n        client = await Client.async_login(\n            \"user\",\n            \"password\",\n            session=session,\n            # Make 7 retry attempts:\n            request_retries=7,\n            # Delay 4 seconds between attempts:\n            request_retry_delay=4,\n        )\n\n\nasyncio.run(main())\n```\n\nAs always, an invalid username/password combination will immediately throw an exception.\n\n## Custom Logger\n\nBy default, `aiowatttime` provides its own logger. 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