WIP: cálculo de impacto ambiental #59

Draft
pedro wants to merge 91 commits from feature/f31-device-enviromental-impact into main
20 changed files with 265 additions and 9 deletions

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@ -86,6 +86,9 @@
<li class="nav-item">
<a href="#log" class="nav-link" data-bs-toggle="tab" data-bs-target="#log">{% trans 'Log' %}</a>
</li>
<li class="nav-item">
<a href="#environmental_impact" class="nav-link" data-bs-toggle="tab" data-bs-target="#environmental_impact">{% trans 'Environmental Impact' %}</a>
</li>
</ul>
</div>
</div>
@ -105,6 +108,8 @@
{% include 'tabs/dpps.html' %}
{% include 'tabs/environmental_impact.html' %}
<!-- Add a note popup -->
<div class="modal fade" id="addNoteModal" tabindex="-1" aria-labelledby="addNoteModalLabel" aria-hidden="true">
<div class="modal-dialog">

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@ -0,0 +1,45 @@
{% load i18n %}
<div class="tab-pane fade" id="environmental_impact">
<h5 class="card-title">{% trans 'Environmental Impact Details' %}</h5>
<hr />
<h6 class="mt-3 text-primary">{% trans 'While device is being used' %}</h6>
<div class="row mb-3">
<div class="col-sm-4 text-muted fw-bold">
{% trans 'CO2 Emissions' %}
</div>
<div class="col-sm-8">{{ impact.co2_emissions|default:'0.0' }} kg</div>
</div>
<div class="row mb-3">
<div class="col-sm-12 d-flex justify-content-end">
<div class="border p-2 rounded d-flex align-items-center">
<label for="algorithmSelect" class="text-muted fw-bold me-2">{% trans 'Algorithm Selector' %}</label>
<select class="form-select form-select-sm w-auto border-0 shadow-none" id="algorithmSelect" onchange="changeAlgorithm()">
<option value="dummy" selected>{% trans 'Dummy Algorithm' %}</option>
<option value="advanced">{% trans 'Advanced Algorithm' %}</option>
</select>
</div>
</div>
</div>
<div class="mt-4">
<button class="btn btn-outline-primary" type="button" data-bs-toggle="collapse" data-bs-target="#docsCollapse" aria-expanded="false" aria-controls="docsCollapse">
{% trans 'Read about the algorithm insights' %}
</button>
<div class="collapse mt-3" id="docsCollapse">
<div class="card card-body">
<div class="markdown-content">{{ impact.docs|safe }}</div>
</div>
</div>
</div>
</div>
<script>
function changeAlgorithm() {
var selectedAlgorithm = document.getElementById('algorithmSelect').value;
}
</script>

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@ -21,6 +21,7 @@ from evidence.models import UserProperty, SystemProperty
from lot.models import LotTag
from device.models import Device
from device.forms import DeviceFormSet
from environmental_impact.algorithms.algorithm_factory import FactoryEnvironmentImpactAlgorithm
if settings.DPP:
from dpp.models import Proof
from dpp.api_dlt import PROOF_TYPE
@ -36,6 +37,7 @@ class DeviceLogMixin(DashboardView):
institution=self.request.user.institution
)
class NewDeviceView(DashboardView, FormView):
template_name = "new_device.html"
title = _("New Device")
@ -101,20 +103,28 @@ class DetailsView(DashboardView, TemplateView):
for x in _dpps:
dpp = "{}:{}".format(self.pk, x.signature)
dpps.append((dpp, x.signature[:10], x))
# TODO Specify algorithm via dropdown, if not specified, use default.
enviromental_impact_algorithm = FactoryEnvironmentImpactAlgorithm.run_environmental_impact_calculation(
"dummy_calc"
)
enviromental_impact = enviromental_impact_algorithm.get_device_environmental_impact(
self.object)
last_evidence = self.object.get_last_evidence()
uuids = self.object.uuids
state_definitions = StateDefinition.objects.filter(
institution=self.request.user.institution
).order_by('order')
device_states = State.objects.filter(snapshot_uuid__in=uuids).order_by('-date')
device_states = State.objects.filter(
snapshot_uuid__in=uuids).order_by('-date')
device_logs = DeviceLog.objects.filter(
snapshot_uuid__in=uuids).order_by('-date')
device_notes = Note.objects.filter(snapshot_uuid__in=uuids).order_by('-date')
device_notes = Note.objects.filter(
snapshot_uuid__in=uuids).order_by('-date')
context.update({
'object': self.object,
'snapshot': last_evidence,
'lot_tags': lot_tags,
'impact': enviromental_impact,
'dpps': dpps,
"state_definitions": state_definitions,
"device_states": device_states,

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@ -87,6 +87,7 @@ INSTALLED_APPS = [
"action",
"admin",
"api",
"environmental_impact"
]
DPP = config("DPP", default=False, cast=bool)

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@ -0,0 +1,3 @@
from django.contrib import admin
# Register your models here.

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@ -0,0 +1,30 @@
from __future__ import annotations
from typing import TYPE_CHECKING
from .dummy_algo.dummy_calculator import DummyEnvironmentalImpactAlgorithm
if TYPE_CHECKING:
from .algorithm_interface import EnvironmentImpactAlgorithm
class AlgorithmNames():
"""
Enum class for the different types of algorithms.
"""
DUMMY_CALC = "dummy_calc"
algorithm_names = {
DUMMY_CALC: DummyEnvironmentalImpactAlgorithm()
}
class FactoryEnvironmentImpactAlgorithm():
@staticmethod
def run_environmental_impact_calculation(algorithm_name: str) -> EnvironmentImpactAlgorithm:
try:
return AlgorithmNames.algorithm_names[algorithm_name]
except KeyError:
raise ValueError("Invalid algorithm name. Valid options are: " +
", ".join(AlgorithmNames.algorithm_names.keys()))

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@ -0,0 +1,11 @@
from abc import ABC, abstractmethod
from functools import lru_cache
from device.models import Device
from environmental_impact.models import EnvironmentalImpact
class EnvironmentImpactAlgorithm(ABC):
@abstractmethod
def get_device_environmental_impact(self, device: Device) -> EnvironmentalImpact:
pass

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@ -0,0 +1,8 @@
import markdown
def render_docs(file_path):
with open(file_path, 'r') as file:
markdown_content = file.read()
html_content = markdown.markdown(markdown_content)
return html_content

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@ -0,0 +1,24 @@
## _Dummy_ Algorithm Docs
This function calculates the **carbon footprint** of a device based on its power consumption and usage time.
### 1. Define Constants
- `avg_watts = 40`: Assumed average power consumption of the device in watts.
- `co2_per_kwh = 0.475`: CO₂ emissions per kilowatt-hour (kg CO₂/kWh), based on an estimated energy mix.
### 2. Retrieve Device Usage
- Calls `get_power_on_hours_from(device)`, which returns the total **power-on hours** for the device.
### 3. Compute Energy Consumption
- Converts power consumption to **kilowatt-hours (kWh)** using:
```
energy_kwh = (power_on_hours * avg_watts) / 1000
```
- This accounts for the total energy used over the recorded operational period.
### 4. Calculate CO₂ Emissions
- Multiplies the **energy consumption (kWh)** by the **CO₂ emission factor**:
```
co2_emissions = energy_kwh * co2_per_kwh
```
- This provides the estimated **CO₂ emissions in kilograms**.

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@ -0,0 +1,40 @@
import os
from device.models import Device
from ..algorithm_interface import EnvironmentImpactAlgorithm
from environmental_impact.models import EnvironmentalImpact
from ..docs_renderer import render_docs
class DummyEnvironmentalImpactAlgorithm(EnvironmentImpactAlgorithm):
def get_device_environmental_impact(self, device: Device) -> EnvironmentalImpact:
# TODO Make a constants file / class
avg_watts = 40 # Arbitrary laptop average consumption
co2_per_kwh = 0.475
power_on_hours = self.get_power_on_hours_from(device)
energy_kwh = (power_on_hours * avg_watts) / 1000
co2_emissions = energy_kwh * co2_per_kwh
current_dir = os.path.dirname(__file__)
docs_path = os.path.join(current_dir, 'docs.md')
docs = render_docs(docs_path)
return EnvironmentalImpact(co2_emissions=co2_emissions, docs=docs)
def get_power_on_hours_from(self, device: Device) -> int:
# TODO how do I check if the device is a legacy workbench? Is there a better way?
is_legacy_workbench = False if device.last_evidence.inxi else True
if not is_legacy_workbench:
storage_components = next((comp for comp in device.components if comp['type'] == 'Storage'), None)
str_time = storage_components.get('time of used', "")
else:
str_time = ""
uptime_in_hours = self.convert_str_time_to_hours(
str_time, is_legacy_workbench)
return uptime_in_hours
def convert_str_time_to_hours(self, time_str: str, is_legacy_workbench: bool) -> int:
if is_legacy_workbench:
return -1 # TODO Power on hours not available in legacy workbench
else:
multipliers = {'y': 365 * 24, 'd': 24, 'h': 1}
return sum(int(part[:-1]) * multipliers[part[-1]] for part in time_str.split())

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@ -0,0 +1,6 @@
from django.apps import AppConfig
class EnvironmentalImpactConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = "environmental_impact"

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@ -0,0 +1,9 @@
from dataclasses import dataclass
from django.db import models
@dataclass
class EnvironmentalImpact:
carbon_saved: float = 0.0
co2_emissions: float = 0.0
docs: str = ""

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@ -0,0 +1,44 @@
from unittest.mock import patch
import uuid
from django.test import TestCase
from device.models import Device
from environmental_impact.models import EnvironmentalImpact
from environmental_impact.algorithms.dummy_algo.dummy_calculator import DummyEnvironmentalImpactAlgorithm
from evidence.models import Evidence
class DummyEnvironmentalImpactAlgorithmTests(TestCase):
@patch('evidence.models.Evidence.get_doc', return_value={'credentialSubject': {}})
@patch('evidence.models.Evidence.get_time', return_value=None)
def setUp(self, mock_get_time, mock_get_doc):
self.device = Device(id='1')
evidence = self.device.last_evidence = Evidence(uuid=uuid.uuid4())
evidence.inxi = True
evidence.doc = {'credentialSubject': {}}
self.algorithm = DummyEnvironmentalImpactAlgorithm()
def test_get_power_on_hours_from_legacy_device(self):
# TODO is there a way to check that?
pass
@patch('evidence.models.Evidence.get_components', return_value=[0, 0, 0, 0, 0, 0, 0, 0, 0, {'time of used': '1y 2d 3h'}])
def test_get_power_on_hours_from_inxi_device(self, mock_get_components):
hours = self.algorithm.get_power_on_hours_from(self.device)
self.assertEqual(
hours, 8811, "Inxi-parsed devices should correctly compute power-on hours")
@patch('evidence.models.Evidence.get_components', return_value=[0, 0, 0, 0, 0, 0, 0, 0, 0, {'time of used': '1y 2d 3h'}])
def test_convert_str_time_to_hours(self, mock_get_components):
result = self.algorithm.convert_str_time_to_hours('1y 2d 3h', False)
self.assertEqual(
result, 8811, "String to hours conversion should match expected output")
@patch('evidence.models.Evidence.get_components', return_value=[0, 0, 0, 0, 0, 0, 0, 0, 0, {'time of used': '1y 2d 3h'}])
def test_environmental_impact_calculation(self, mock_get_components):
impact = self.algorithm.get_device_environmental_impact(self.device)
self.assertIsInstance(impact, EnvironmentalImpact,
"Output should be an EnvironmentalImpact instance")
expected_co2 = 8811 * 40 * 0.475 / 1000
self.assertAlmostEqual(impact.co2_emissions, expected_co2,
2, "CO2 emissions calculation should be accurate")

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@ -0,0 +1,17 @@
from environmental_impact.algorithms.algorithm_factory import FactoryEnvironmentImpactAlgorithm
from django.test import TestCase
from environmental_impact.algorithms.dummy_algo.dummy_calculator import DummyEnvironmentalImpactAlgorithm
class FactoryEnvironmentImpactAlgorithmTests(TestCase):
def test_valid_algorithm_name(self):
algorithm = FactoryEnvironmentImpactAlgorithm.run_environmental_impact_calculation(
'dummy_calc')
self.assertIsInstance(algorithm, DummyEnvironmentalImpactAlgorithm,
"Factory should return a DummyEnvironmentalImpactAlgorithm instance")
def test_invalid_algorithm_name(self):
with self.assertRaises(ValueError):
FactoryEnvironmentImpactAlgorithm.run_environmental_impact_calculation(
'invalid_calc')

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@ -0,0 +1,3 @@
from django.shortcuts import render
# Create your views here.