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Roger Gonzalez 2023-08-16 22:48:11 -03:00
commit b8e1cb50d7
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.env.example Normal file
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DEVICE_ID=12345
AUTHORIZATION=authorization_code

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.flake8 Executable file
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[flake8]
max-line-length = 121

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.gitignore vendored Normal file
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.DS_Store
.idea
*.log
tmp/
# Created by https://www.toptal.com/developers/gitignore/api/python
# Edit at https://www.toptal.com/developers/gitignore?templates=python
### Python ###
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
### Python Patch ###
# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
poetry.toml
# ruff
.ruff_cache/
# LSP config files
pyrightconfig.json
# End of https://www.toptal.com/developers/gitignore/api/python

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.pre-commit-config.yaml Executable file
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exclude: ^(.bzr|\.direnv|\.eggs|\.git|\.hg|\.mypy_cache|\.nox|\.pants\.d|\.svn|\.tox|\.venv|_build|buck-out|build|dist|node_modules|venv|\.idea|dockerdata|static|.*\b(migrations)\b.*)
repos:
- repo: https://github.com/pycqa/isort
rev: 5.12.0
hooks:
- id: isort
- repo: https://github.com/ambv/black
rev: 22.3.0
hooks:
- id: black
language_version: python3
- repo: https://github.com/pycqa/flake8
rev: 3.9.2
hooks:
- id: flake8
additional_dependencies:
- flake8-bugbear==20.1.4
- flake8-builtins==1.5.3
- flake8-comprehensions==3.2.3
- flake8-tidy-imports==4.1.0
- flake8-eradicate==1.1.0
- flake8-print==4.0.0
- flake8-return==1.1.2
- flake8-use-fstring==1.1
- git+https://github.com/derrix060/flake8-expression-complexity.git

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pyproject.toml Executable file
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[tool.black]
line-length = 121
target-version = ['py36', 'py37', 'py38']
include = '\.pyi?$'
# regex below includes default list from isort, for parity
exclude = '''
/(
\.bzr
| \.direnv
| \.eggs
| \.git
| \.hg
| \.mypy_cache
| \.nox
| \.pants\.d
| \.svn
| \.tox
| \.venv
| _build
| buck-out
| build
| dist
| node_modules
| venv
| \.idea
| dockerdata
| static
)/
'''
[tool.isort]
# these are black-compatible settings
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
use_parentheses = true
ensure_newline_before_comments = true
line_length = 121
skip = "dockerdata,.idea,static"
filter_files = true

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script.py Executable file
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import os
from datetime import datetime, timedelta
from time import sleep
from typing import Optional
import requests
from dotenv import load_dotenv
load_dotenv()
DEVICE_ID = os.environ.get("DEVICE_ID")
AUTHORIZATION = os.environ.get("AUTHORIZATION")
def make_request(method: str, url: str, data: Optional[dict] = None) -> requests.Response:
"""
Make request
:param method: Method
:param url: URL
:param data: Data
:return: Response
"""
headers = {
"Authorization": f"Bearer {AUTHORIZATION}",
"X-Client-Type": "Android",
"User-Agent": "okhttp/3.8.1",
"Content-Type": "application/json; charset=utf-8",
"Connection": "Keep-Alive",
"User-Agent": "okhttp/3.8.1",
}
if method == "GET":
return requests.get(url, headers=headers)
if method == "POST":
return requests.post(url, headers=headers, json=data)
return None
def generate_ute_info(
device_id: str, cost_per_kwh: float, date_start: Optional[str] = None, date_end: Optional[str] = None
) -> dict:
"""
Generate UTE info from device id and date range
:param device_id: Device id
:param authorization: Authorization token
:param cost_per_kwh: Cost per kwh
:param date_start: Date start
:param date_end: Date end
:return: UTE info
"""
if date_start is None:
yesterday = datetime.now() - timedelta(days=1)
date_start = yesterday.strftime("%Y-%m-%d")
if date_end is None:
yesterday = datetime.now() - timedelta(days=1)
date_end = yesterday.strftime("%Y-%m-%d")
url = f"https://rocme.ute.com.uy/api/v2/device/{device_id}/curvefromtodate/D/{date_start}/{date_end}"
response = make_request("GET", url).json()
active_energy = {"total": {"sum_in_kwh": 0}}
for item in response["data"]:
if item["magnitudeVO"] == "IMPORT_ACTIVE_ENERGY":
date = datetime.strptime(item["date"], "%Y-%m-%dT%H:%M:%S%z")
day_in_week = date.strftime("%A")
value = round(float(item["value"]), 3)
active_energy[date.strftime("%d/%m/%Y")] = {
"kwh": value,
"aproximated_cost_in_uyu": round(value * cost_per_kwh, 3),
"day_in_week": day_in_week,
}
active_energy["total"]["sum_in_kwh"] = active_energy["total"]["sum_in_kwh"] + value
active_energy["total"]["aproximated_cost_in_uyu"] = round(active_energy["total"]["sum_in_kwh"] * average_price, 3)
active_energy["total"]["daily_average_cost"] = round(
active_energy["total"]["aproximated_cost_in_uyu"] / (len(active_energy) - 1), 3
)
return active_energy
def get_current_usage(device_id: str) -> dict:
"""
Get current usage
:param device_id: Device id
:param authorization: Authorization token
:raises Exception: Error getting reading request
:return: Current usage
"""
reading_request_url = "https://rocme.ute.com.uy/api/v1/device/readingRequest"
reading_url = f"https://rocme.ute.com.uy/api/v1/device/{device_id}/lastReading/30"
data = {"AccountServicePointId": device_id}
reading_request = make_request("POST", reading_request_url, data)
if reading_request.status_code != 200:
raise Exception("Error getting reading request")
response = make_request("GET", reading_url).json()
while not response["success"]:
sleep(5)
response = make_request("GET", reading_url).json()
readings = response["data"]["readings"]
for reading in readings:
reading_type = reading["tipoLecturaMGMI"]
if reading_type == "I1":
i1 = float(reading["valor"])
elif reading_type == "I2":
i2 = float(reading["valor"])
elif reading_type == "I3":
i3 = float(reading["valor"])
elif reading_type == "V1":
v1 = float(reading["valor"])
elif reading_type == "V2":
v2 = float(reading["valor"])
elif reading_type == "V3":
v3 = float(reading["valor"])
power_1_in_watts = v1 * i1
power_2_in_watts = v2 * i2
power_3_in_watts = v3 * i3
power_in_watts = round(power_1_in_watts + power_2_in_watts + power_3_in_watts, 3)
return_dict = {**response}
return_dict["data"]["power_in_watts"] = power_in_watts
return return_dict
if __name__ == "__main__":
date_start = "2023-08-01"
date_end = "2023-08-31"
average_price = (10.680 * 0.1667) + (2.223 * 0.2917) + (4.875 * 0.5416) # Each price * percentage of time on the day
ute_historic_usage = generate_ute_info(DEVICE_ID, average_price, date_start, date_end)
ute_current_usage = get_current_usage(DEVICE_ID)