boozeman

# ESP32C3 (Seeed Studio XIAO) version of the P1 reader
# Look at https://github.com/psvanstrom/esphome-p1reader and get that p1reader.h from there

esphome:
  includes:
    - p1reader.h
  name: esp32-p1reader
  friendly_name: esp32-p1reader
  platformio_options:
    board_build.f_flash: 40000000L

boozeman

esphome:
  name: nedis-esp-004

substitutions:
  device_name: nedis_esp_004
  friendly_name: Nedis ESP 004

# Nedis WIFIPO121FWT with bk7231N
# Nedis WIFIPO120FWT with bk7231N chip has markings "10T40 and µ" on it's label
# Nedis WIFIPO120FWT with bk7231T chip has no those markings on it's label

boozeman

esphome:
  name: nedis-esp-003

substitutions:
  device_name: nedis_esp_003
  friendly_name: Nedis ESP 003

# Nedis WIFIPO120FWT with bk7231N chip has markings "10T40 and µ" on it's label
# Nedis WIFIPO120FWT with bk7231T chip has no those markings on it's label (BL0937 pins CF=P7, CF1=P8 and sel=P24, Light=P6 other pins the same)
# Use Cloud Cutter profile: tuya-generic-fs-02we-1ch-16a-smart-switch-with-energy-monitoring

boozeman

type: custom:windrose-card
title: Wind direction last 8hrs
data_period:
  hours_to_show: 8
max_width: 400
refresh_interval: 300
windspeed_bar_location: bottom
windspeed_bar_full: false
wind_direction_entity:
  entity: sensor.wind_direction_10min_avg

boozeman

command_line:
  - sensor:
      name: "Wind Direction 10min Avg"
      unique_id: file_fmi_wind_direction
      unit_of_measurement: "°"
      scan_interval: 300
      command: "python3 /config/FMIWeather.py Tampere winddirection"
      value_template: "{{ value_json.result[-1].value |int }}"
      json_attributes:
        - time

boozeman

# Copy this on root of config directory or any place you want
# Correct the file sensor paths for configuration.yaml if needed
# Usage: python3 FMIWeather.py station parameter
# Examples: 
# FMIWeather.py Tampere windspeed 
# FMIWeather.py Hämeenlinna rain1h
# NOTE! If you live place without FMI weather station, like Turenki, Renko or Lammi, It takes the readings for the closest station.
# You can find the stations here: https://www.tuulikartta.info/#lang=fi#latlon=61.04,24.29,9#parameter=ws_10min for example
# All data with 10 min resolution
# ws_10min = Wind Speed 10min avg (in m/s)

boozeman

service: mqtt.publish
data:
  topic: cmnd/Greenhouse1/wiper1
  qos: "0"
  retain: true
  payload_template: >-
    {% set greenhouse_temp = states('sensor.greenhouse1_ec_fan_control_temperature') |float %}  
    {% if greenhouse_temp <24.0 %} 0 
    {% else %}
      {% set temp_min = states('input_number.ec_fan_temp_min') |float %}

boozeman

{# Some stuff for testing Home Assistant Template to make template sensors  #}
{# This is equivalent to Tasmota Berry Script used on greenhouse automation #}
{# https://gist.github.com/boozeman/e191e01ef914e2651544a03a7acf32eb #}

{# Target_VPD set here by hand. Read some sensor data to variables  #}
{% set Target_VPD = 1.4 |float %}
{% set T = states('sensor.your_sensor_sht3x_temperature') |float %}
{% set RH = states('sensor.your_sensor_sht3x_humidity') |float %}
{% set p = states('sensor.your_sensor_bme280_seapressure') |float %}

boozeman

alias: ajastintesti
description: ""
trigger:
  - platform: device
    type: turned_on
    device_id: <deviceid poistettu>
    entity_id: switch.nedis6_relay1
    domain: switch
    id: relay2 on
  - platform: event

boozeman

import json
import string
class ADS1115Data : Driver
  var convert_to_mv
  
  def ads1115()
    # Read needed Sensor data
    var sensors = json.load(tasmota.read_sensors())
    var raw_adc0 = sensors['ADS1115']['A0']
    var raw_adc1 = sensors['ADS1115']['A1']