Adam Petrovic adampetrovic

This is my 'homebrew' version of the brew-by-weight functionality that comes with a Linea Mini plus the LaMarzocco + Acaia proprietary scales. Given I have a Micra, this functionality isn't supported out of the box.

It uses:

ESPHome to connect to my Acaia Lunar scales over Bluetooth using a forked version of https://github.com/open-lcc/esphome-acaia-component (my forked version fixes the flow calculation)
The LaMarzocco custom HomeAssistant integration: https://github.com/zweckj/lamarzocco

How it works:

input_number.coffee_target_weight: used to set the desired weight

Python 3
Gmail by default
Install requests (pip install requests)
Create the directory '.search_cache' where you are running the script from
Update EMAIL_ADDRESS and EMAIL_PASSWORD
Usage: python startrack_check.py
reference can be your 'TL' tracking code, or SBS from Telstra

Keybase proof

I hereby claim:

I am adampetrovic on github.
I am adampetrovic (https://keybase.io/adampetrovic) on keybase.
I have a public key ASDgb_44RUH8mlbweiMeVxO5Cq2PYG9WM1UPHOrC3ftxdgo

To claim this, I am signing this object:

	---
	apiVersion: v1
	kind: PersistentVolumeClaim
	metadata:
	name: "debug"
	spec:
	accessModes: ["ReadWriteOnce"]
	dataSourceRef:
	kind: ReplicationDestination
	apiGroup: volsync.backube

	sensor:
	- platform: statistics
	name: "Solar Export Median - 1 minute (internal)"
	unique_id: solar_export_median_internal
	entity_id: sensor.solarexport
	state_characteristic: median
	max_age:
	minutes: 1
	- platform: statistics
	name: "Grid Import Median - 1 minute (internal)"

	import "date"
	import "timezone"
	import "dict"
	option location = timezone.location(name: "Australia/Sydney")

	tariffs = dict.fromList(pairs: [{key: "peak", value: 0.4070}, {key: "shoulder", value: 0.1815}, {key: "offpeak", value: 0.1540}, {key: "evoffpeak", value: 0.0770}])
	dailySupplyCharge = 1.0494

	getPrice = (timeVal) => {
	hour = date.hour(t: timeVal)

	[ 8238.497867] i915 0000:00:02.0: [drm] Resetting vcs1 for preemption time out
	[ 8238.504252] i915 0000:00:02.0: [drm] GPU HANG: ecode 12:4:4ab6fff5, in Plex Transcoder [224824]
	[ 8239.165883] i915 0000:00:02.0: [drm] Resetting vecs0 for preemption time out
	[ 8239.166591] i915 0000:00:02.0: [drm] ERROR vecs0 reset request timed out: {request: 00000001, RESET_CTL: 00000001}
	[ 8239.167282] i915 0000:00:02.0: [drm] GPU HANG: ecode 12:8:2cffbffd, in Plex Transcoder [227665]
	[ 8241.565903] i915 0000:00:02.0: [drm] Resetting vcs0 for preemption time out
	[ 8241.566619] i915 0000:00:02.0: [drm] ERROR vcs0 reset request timed out: {request: 00000001, RESET_CTL: 00000001}
	[ 8241.567338] i915 0000:00:02.0: [drm] GPU HANG: ecode 12:4:2ffffffd, in Plex Transcoder [227668]
	[ 8249.855124] i915 0000:00:02.0: [drm] GPU HANG: ecode 12:4:4ab6fff5, in Plex Transcoder [224824]
	[ 8249.956638] i915 0000:00:02.0: [drm] Resetting vcs1 for stopped heartbeat on vcs1

	from dateutil import parser, tz
	from datetime import datetime, timezone

	MAX_TIME_RANGE = 12 * 60 # how many minutes in the future to look at forecasts
	BATTERY_CAPACITY = 82 # kWh - Tesla Model 3 Performance (2021)
	CHARGE_RATE = 11 # kWh - Gen 3 Wall Connector (3 Phase 16A)
	LOCAL_TZ = tz.gettz('Australia/Sydney')


	def get_price_forecast():

	detectors:
	coral:
	type: edgetpu
	device: usb

	ffmpeg:
	input_args: >-
	-avoid_negative_ts make_zero -fflags +genpts+discardcorrupt
	-use_wallclock_as_timestamps 1
	hwaccel_args:

	import nltk
	from instanalyze.logic import tweet_gen
	# import tweet_gen
	import pickle
	import os
	from instanalyze.logic.classifier import NaiveBayesClassifier

	def create_data_path(relative_path):
	path = os.getcwd()
	if 'instanalyze' not in os.getcwd():