Grand ménage des fichiers obsolètes/inutiles et réorganisation des dossiers
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Pierrick C
parent
2091c459be
commit
ce15bceb58
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@ -1,361 +0,0 @@
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#!/usr/bin/python3
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# -*- coding: UTF8 -*-
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"""datacam
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datacam is design to take a picture with the PiCamera and collect environnemental
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data from the PiSense HAT, (almost) at the same time.
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"""
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#################
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# Configuration #
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#################
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#General
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version = "v0.4"
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#time_lapse = 20 # Time between photos et data captures
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verbose = True
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# Pictures
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ajust_time = 1 #Time waiting for the camera to ajust before taking the photo (in seconds)
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x_res = 2592 #X resolution (max = 2592)
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y_res = 1944 #Y resolution (max = 1944)
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photo_dir = "pictures" #Photo directory
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photo_file = "Test_%Y-%m-%d_%H%M%S" # Picture files name (strftime() compatible)
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photo_rotation = "180" # Image rotation in degree
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#camera_LED = True # Set to False to disable red camera LED during capture, need root privileges
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sense_LED_flash = True
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# Data
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#Data to collect :
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# - 'temperature_h' : temperature from humidity sensor
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# - 'temperature_p' : temperature from pressure sensor
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# - 'temperature_cpu' : temperature from CPU
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# - 'pressure' : pressure
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# - 'humidity' : relative humidity
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data_collection = ['temperature_p',
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'pressure',
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'temperature_h',
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'humidity',
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'temperature_cpu',
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'blabla',
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]
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data_display = ['pressure',
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'temperature_h',
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'humidity',
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'blabla',
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]
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data_dir = 'data'
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data_log = ['date', 'value', 'quality']
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# Fonts
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fonts_dir = '/usr/share/fonts/truetype/freefont/'
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font_bold = 'FreeMonoBold.ttf'
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font_basic = 'FreeMono.ttf'
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font_italic = 'FreeMonoOblique.ttf'
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font_bold_italic = 'FreeMonoBoldOblique.ttf'
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font_default = font_basic
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#################
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# Imports #
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#################
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from os import path, popen
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from time import sleep, strftime
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import csv
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# Picture management with the Pi Cam
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from picamera import PiCamera
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#Pi Sense HAT module (sensors)
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from sense_hat import SenseHat
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# Traitement d'images
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import PIL
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from PIL import ImageFont
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from PIL import Image
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from PIL import ImageDraw
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# For picture metadata (EXIF, IPTC...)
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import piexif
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#Divers
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from pprint import pprint
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#########################
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# Déclarations globales #
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#########################
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sense = SenseHat()
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data = {}
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data_dir = path.join('/home/pi/datacam', version, data_dir)
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photo_dir = path.join('/home/pi/datacam', version, photo_dir)
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#############
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# Fonctions #
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#############
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#Get one data from one sensors and return the value in a dict object with some metadata
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# like time/date, description, unit...
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class Raw_Data:
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"""Data class.
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"""
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dtype = ''
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date = ''
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value = ''
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quality = -1 # -1 : default value/data type unknown, 0 : OK, 1 : non-available
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metadata = {'desc' : 'Unknow',
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'unit' : '',
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}
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def __init__(self, data_type):
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"Initialize new data object of the defined type."
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self.dtype = data_type
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if self.dtype == 'temperature_p':
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self.metadata = {'desc' : 'Air temperature (pressure sensors)',
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'unit' : '°C',
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'short' : 'Temperature',
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'category' : 'Environnement/Temperature',
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}
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elif self.dtype == 'temperature_h':
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self.metadata = {'desc' : 'Air temperature (pressure sensors)',
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'unit' : '°C',
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'short' : 'Temperature',
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'category' : 'Environnement/Temperature',
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}
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elif self.dtype == 'pressure':
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self.metadata = {'desc' : 'Atmospheric Pressure',
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'unit' : 'mbar',
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'short' : 'Pression',
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'category' : 'Environnement/Pressure',
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}
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elif self.dtype == 'humidity':
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self.metadata = {'desc' : 'Relative air humidity',
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'unit' : '%',
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'short' : 'Humidity',
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'category' : 'Environnement/Humidity',
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}
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elif self.dtype == 'temperature_cpu':
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self.metadata = {'desc' : 'CPU temperature',
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'unit' : '°C',
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'short' : 'Temperature',
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'category' : 'System/Temperature',
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}
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else:
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print(data_type + " is unknown.")
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def get_raw(self):
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"Get raw data from sensors and update information about this data."
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self.date = strftime('%Y-%m-%d_%H:%M:%S')
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if self.dtype == 'temperature_p':
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try:
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self.value = float(sense.get_temperature_from_pressure())
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self.quality = 0
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except:
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self.value = None
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self.quality = 1
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elif self.dtype == 'temperature_h':
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try:
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self.value = float(sense.get_temperature_from_humidity())
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self.quality = 0
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except:
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self.value = None
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self.quality = 1
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elif self.dtype == 'pressure':
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try:
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self.value = float(sense.get_pressure())
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self.quality = 0
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except:
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self.value = None
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self.quality = 1
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elif self.dtype == 'humidity':
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try:
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self.value = float(sense.get_humidity())
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self.quality = 0
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except:
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self.value = None
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self.quality = 1
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elif self.dtype == 'temperature_cpu':
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try:
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temp = popen('/opt/vc/bin/vcgencmd measure_temp').readline()
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self.value = float(temp.replace('temp=','').replace("'C\n",""))
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self.quality = 0
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except:
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self.value = None
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self.quality = 1
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else:
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print(data_type + " is unknown.")
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self.metadata.update({'desc' : 'Unknown'})
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self.value = None
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self.quality = -1
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def write_csv(self, file_path):
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"Write data in CSV file. Creates CSV file and metadata text file if they do not exist."
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if path.isfile(file_path):
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with open(file_path, 'a') as csvfile:
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datawriter = csv.DictWriter(csvfile, fieldnames=data_log, delimiter=';')
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datawriter.writerow({n : v for n, v in vars(data[data_type]).items() if n in data_log })
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else:
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#Creation of metadata file
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if data[data_type]['desc'] != 'Unknown':
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with open(path.join(data_dir, data_type + '_desc.txt'), 'w') as metadata_file:
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for desc, value in data[data_type].items():
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if desc not in data_log:
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metadata_file.write(desc + " : " + str(value) + '\n')
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#Creation of data file
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with open(csvfile_path, 'w') as csvfile:
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datawriter = csv.DictWriter(csvfile, fieldnames=data_log, delimiter=';')
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datawriter.writeheader()
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datawriter.writerow({n : v for n, v in vars(data[data_type]).items() if n in data_log})
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def __repr__(self):
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"For debug"
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if self.metadata['desc'] == 'Unknown':
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return '<Data {t:} = {d:} at {dt}>'.format(d=self.metadata['desc'],
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t=self.dtype,
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dt=self.date,
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)
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elif type(self.value) == float:
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return '<Data {d:} = {v:.1f}{u} ({q}) at {dt}>'.format(d=self.metadata['desc'],
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v=self.value,
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u=self.metadata['unit'],
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q=self.quality,
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dt=self.date,
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)
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elif self.value == None:
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return '<Data {d:} = {v} ({q}) at {dt}>'.format(d=self.metadata['desc'],
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v=self.value,
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q=self.quality,
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dt=self.date,
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)
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else:
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return '<Data {d:} = {v} {u} ({q}) at {dt}>'.format(d=self.metadata['desc'],
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v=self.value,
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u=self.metadata['unit'],
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q=self.quality,
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dt=self.date,
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)
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return
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def __str__(self):
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"For print (to user)"
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if self.metadata['desc'] == 'Unknown':
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return '{data_type:} = {desc:}'.format(desc=self.metadata['desc'],
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data_type=self.dtype,
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)
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elif type(self.value) == float:
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return '{d:} = {v:.1f}{u}'.format(d=self.metadata['desc'],
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v=self.value,
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u=self.metadata['unit'],
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)
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elif self.value == None:
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return '{d:} = {v}'.format(d=self.metadata['desc'],
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v='NA',
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)
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else:
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return '{d:} = {v} {u}'.format(d=self.metadata['desc'],
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v=self.value,
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u=self.metadata['unit'],
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)
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def __call__(self):
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return self.value
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# Take a picture
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def get_pict():
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with PiCamera() as camera:
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camera.resolution = (x_res, y_res)
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camera.rotation = photo_rotation
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#camera.led = camera_LED # !!! need root privileges !!!
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if sense_LED_flash:
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sense.show_message(text_string="",
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back_colour=[255, 255, 255],
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)
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camera.start_preview()
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sleep(ajust_time)
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sense.set_rotation(r=180, redraw=True)
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#sense.show_message(text_string=":-)",
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#scroll_speed=0.1 ,
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#text_colour=[255, 0, 0],
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#back_colour=[0, 0, 255])
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pict_path = path.join(photo_dir, strftime(photo_file) + '.jpg')
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camera.capture(pict_path)
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sense.clear()
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#camera.led = True # !!! need root privileges !!!
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return pict_path
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########
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# MAIN #
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########
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# Collect asked data from sensors
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for data_type in data_collection:
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data[data_type] = Raw_Data(data_type)
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data[data_type].get_raw()
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if verbose :
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print(data[data_type].__repr__())
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print(data[data_type]())
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#Save data in CSV file
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csvfile_path = path.join(data_dir, data_type + '.csv')
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data[data_type].write_csv(csvfile_path)
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#Take a picture
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#picture_path = get_pict()
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## Write data on picture in new picture file
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#pict = Image.open(picture_path)
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#draw = ImageDraw.Draw(pict)
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## Text line height (=font size) and line space calculation
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#line_height = int(y_res / 40)
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#line_space = int(line_height / 10)
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#text = ''
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#l = line_space
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## Add a line with data for each data to display
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#for d in data_display:
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#text = str(data[d]) #.__str__()
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## Select color and font to match data quality
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#if data[d].quality == 0:
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#text_color = (0, 255, 0) # Quality OK : text in green
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#font = font_default
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#elif data[d].quality < 0:
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#text_color = (100, 100, 100) # Unknown in grey
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#font = font_italic
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#elif data[d].quality == 1:
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#text_color = (255, 255, 0) # Sensor unavailable : yellow
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#font = font_italic
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#else:
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#text_color = (255, 0, 0) # Other = error in red
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#font = font_bold
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#img_font = ImageFont.truetype(path.join(fonts_dir, font), line_height)
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#draw.text((5,l), text, text_color, img_font)
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#draw = ImageDraw.Draw(pict)
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#l = l + line_height + line_space
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##Get EXIF metadata and delete embedded thumbnail
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#pict_exif = piexif.load(pict.info['exif'])
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#del(pict_exif['thumbnail'])
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#pict.save(picture_path, 'jpeg', exif=piexif.dump(pict_exif) )
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#if verbose :
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#print('Picture = ' + picture_path)
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@ -1,362 +0,0 @@
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#!/usr/bin/python3
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# -*- coding: UTF8 -*-
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"""datacam
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v0.3
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datacam is design to take a picture with the PiCamera and collect environnemental
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data from the PiSense HAT, (almost) at the same time.
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"""
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#################
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# Configuration #
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#################
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#General
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version = "v0.3"
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#time_lapse = 20 # Time between photos et data captures
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verbose = True
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# Pictures
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ajust_time = 1 #Time waiting for the camera to ajust before taking the photo (in seconds)
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x_res = 2592 #X resolution (max = 2592)
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y_res = 1944 #Y resolution (max = 1944)
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photo_dir = "pictures" #Photo directory
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photo_file = "Test_%Y-%m-%d_%H%M%S" # Picture files name (strftime() compatible)
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photo_rotation = "180" # Image rotation in degree
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#camera_LED = True # Set to False to disable red camera LED during capture, need root privileges
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sense_LED_flash = True
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# Data
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#Data to collect :
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# - 'temperature_h' : temperature from humidity sensor
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# - 'temperature_p' : temperature from pressure sensor
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# - 'temperature_cpu' : temperature from CPU
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# - 'pressure' : pressure
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# - 'humidity' : relative humidity
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data_collection = ['temperature_p',
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'pressure',
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'temperature_h',
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'humidity',
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'temperature_cpu',
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'blabla',
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]
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data_display = ['pressure',
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'temperature_h',
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'humidity',
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'blabla',
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]
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data_dir = 'data'
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data_log = ['date', 'value', 'quality']
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# Fonts
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fonts_dir = '/usr/share/fonts/truetype/freefont/'
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font_bold = 'FreeMonoBold.ttf'
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font_basic = 'FreeMono.ttf'
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font_italic = 'FreeMonoOblique.ttf'
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font_bold_italic = 'FreeMonoBoldOblique.ttf'
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font_default = font_basic
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#################
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# Imports #
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#################
|
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|
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from os import path, popen
|
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from time import sleep, strftime
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import csv
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|
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# Picture management with the Pi Cam
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from picamera import PiCamera
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#Pi Sense HAT module (sensors)
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from sense_hat import SenseHat
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# Traitement d'images
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import PIL
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from PIL import ImageFont
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from PIL import Image
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from PIL import ImageDraw
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|
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# For picture metadata (EXIF, IPTC...)
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import piexif
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#Divers
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from pprint import pprint
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#########################
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# Déclarations globales #
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#########################
|
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sense = SenseHat()
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data = {}
|
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data_dir = path.join('/home/pi/datacam', version, data_dir)
|
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photo_dir = path.join('/home/pi/datacam', version, photo_dir)
|
||||
|
||||
#############
|
||||
# Fonctions #
|
||||
#############
|
||||
|
||||
#Get one data from one sensors and return the value in a dict object with some metadata
|
||||
# like time/date, description, unit...
|
||||
|
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class Raw_Data:
|
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"""Data class.
|
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"""
|
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dtype = ''
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date = ''
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value = ''
|
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quality = -1 # -1 : default value/data type unknown, 0 : OK, 1 : non-available
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metadata = {'desc' : 'Unknow',
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'unit' : '',
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}
|
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|
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def __init__(self, data_type):
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"Initialize new data object of the defined type."
|
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self.dtype = data_type
|
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if self.dtype == 'temperature_p':
|
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self.metadata = {'desc' : 'Air temperature (pressure sensors)',
|
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'unit' : '°C',
|
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'short' : 'Temperature',
|
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'category' : 'Environnement/Temperature',
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}
|
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elif self.dtype == 'temperature_h':
|
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self.metadata = {'desc' : 'Air temperature (pressure sensors)',
|
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'unit' : '°C',
|
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'short' : 'Temperature',
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'category' : 'Environnement/Temperature',
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}
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elif self.dtype == 'pressure':
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self.metadata = {'desc' : 'Atmospheric Pressure',
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'unit' : 'mbar',
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'short' : 'Pression',
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||||
'category' : 'Environnement/Pressure',
|
||||
}
|
||||
elif self.dtype == 'humidity':
|
||||
self.metadata = {'desc' : 'Relative air humidity',
|
||||
'unit' : '%',
|
||||
'short' : 'Humidity',
|
||||
'category' : 'Environnement/Humidity',
|
||||
}
|
||||
elif self.dtype == 'temperature_cpu':
|
||||
self.metadata = {'desc' : 'CPU temperature',
|
||||
'unit' : '°C',
|
||||
'short' : 'Temperature',
|
||||
'category' : 'System/Temperature',
|
||||
}
|
||||
else:
|
||||
print(data_type + " is unknown.")
|
||||
|
||||
def get_raw(self):
|
||||
"Get raw data from sensors and update information about this data."
|
||||
|
||||
self.date = strftime('%Y-%m-%d_%H:%M:%S')
|
||||
|
||||
if self.dtype == 'temperature_p':
|
||||
try:
|
||||
self.value = float(sense.get_temperature_from_pressure())
|
||||
self.quality = 0
|
||||
except:
|
||||
self.value = None
|
||||
self.quality = 1
|
||||
elif self.dtype == 'temperature_h':
|
||||
try:
|
||||
self.value = float(sense.get_temperature_from_humidity())
|
||||
self.quality = 0
|
||||
except:
|
||||
self.value = None
|
||||
self.quality = 1
|
||||
elif self.dtype == 'pressure':
|
||||
try:
|
||||
self.value = float(sense.get_pressure())
|
||||
self.quality = 0
|
||||
except:
|
||||
self.value = None
|
||||
self.quality = 1
|
||||
elif self.dtype == 'humidity':
|
||||
try:
|
||||
self.value = float(sense.get_humidity())
|
||||
self.quality = 0
|
||||
except:
|
||||
self.value = None
|
||||
self.quality = 1
|
||||
elif self.dtype == 'temperature_cpu':
|
||||
try:
|
||||
temp = popen('/opt/vc/bin/vcgencmd measure_temp').readline()
|
||||
self.value = float(temp.replace('temp=','').replace("'C\n",""))
|
||||
self.quality = 0
|
||||
except:
|
||||
self.value = None
|
||||
self.quality = 1
|
||||
else:
|
||||
print(data_type + " is unknown.")
|
||||
self.metadata.update({'desc' : 'Unknown'})
|
||||
self.value = None
|
||||
self.quality = -1
|
||||
|
||||
def write_csv(self, file_path):
|
||||
"Write data in CSV file. Creates CSV file and metadata text file if they do not exist."
|
||||
|
||||
if path.isfile(file_path):
|
||||
with open(file_path, 'a') as csvfile:
|
||||
datawriter = csv.DictWriter(csvfile, fieldnames=data_log, delimiter=';')
|
||||
datawriter.writerow({n : v for n, v in vars(data[data_type]).items() if n in data_log })
|
||||
|
||||
else:
|
||||
#Creation of metadata file
|
||||
if data[data_type]['desc'] != 'Unknown':
|
||||
with open(path.join(data_dir, data_type + '_desc.txt'), 'w') as metadata_file:
|
||||
for desc, value in data[data_type].items():
|
||||
if desc not in data_log:
|
||||
metadata_file.write(desc + " : " + str(value) + '\n')
|
||||
#Creation of data file
|
||||
with open(csvfile_path, 'w') as csvfile:
|
||||
datawriter = csv.DictWriter(csvfile, fieldnames=data_log, delimiter=';')
|
||||
datawriter.writeheader()
|
||||
datawriter.writerow({n : v for n, v in vars(data[data_type]).items() if n in data_log})
|
||||
|
||||
def __repr__(self):
|
||||
"For debug"
|
||||
if self.metadata['desc'] == 'Unknown':
|
||||
return '<Data {t:} = {d:} at {dt}>'.format(d=self.metadata['desc'],
|
||||
t=self.dtype,
|
||||
dt=self.date,
|
||||
)
|
||||
elif type(self.value) == float:
|
||||
return '<Data {d:} = {v:.1f}{u} ({q}) at {dt}>'.format(d=self.metadata['desc'],
|
||||
v=self.value,
|
||||
u=self.metadata['unit'],
|
||||
q=self.quality,
|
||||
dt=self.date,
|
||||
)
|
||||
elif self.value == None:
|
||||
return '<Data {d:} = {v} ({q}) at {dt}>'.format(d=self.metadata['desc'],
|
||||
v=self.value,
|
||||
q=self.quality,
|
||||
dt=self.date,
|
||||
)
|
||||
else:
|
||||
return '<Data {d:} = {v} {u} ({q}) at {dt}>'.format(d=self.metadata['desc'],
|
||||
v=self.value,
|
||||
u=self.metadata['unit'],
|
||||
q=self.quality,
|
||||
dt=self.date,
|
||||
)
|
||||
return
|
||||
|
||||
def __str__(self):
|
||||
"For print (to user)"
|
||||
if self.metadata['desc'] == 'Unknown':
|
||||
return '{data_type:} = {desc:}'.format(desc=self.metadata['desc'],
|
||||
data_type=self.dtype,
|
||||
)
|
||||
elif type(self.value) == float:
|
||||
return '{d:} = {v:.1f}{u}'.format(d=self.metadata['desc'],
|
||||
v=self.value,
|
||||
u=self.metadata['unit'],
|
||||
)
|
||||
elif self.value == None:
|
||||
return '{d:} = {v}'.format(d=self.metadata['desc'],
|
||||
v='NA',
|
||||
)
|
||||
else:
|
||||
return '{d:} = {v} {u}'.format(d=self.metadata['desc'],
|
||||
v=self.value,
|
||||
u=self.metadata['unit'],
|
||||
)
|
||||
|
||||
def __call__(self):
|
||||
return self.value
|
||||
|
||||
# Take a picture
|
||||
def get_pict():
|
||||
with PiCamera() as camera:
|
||||
camera.resolution = (x_res, y_res)
|
||||
camera.rotation = photo_rotation
|
||||
#camera.led = camera_LED # !!! need root privileges !!!
|
||||
if sense_LED_flash:
|
||||
sense.show_message(text_string="",
|
||||
back_colour=[255, 255, 255],
|
||||
)
|
||||
camera.start_preview()
|
||||
sleep(ajust_time)
|
||||
sense.set_rotation(r=180, redraw=True)
|
||||
#sense.show_message(text_string=":-)",
|
||||
#scroll_speed=0.1 ,
|
||||
#text_colour=[255, 0, 0],
|
||||
#back_colour=[0, 0, 255])
|
||||
|
||||
pict_path = path.join(photo_dir, strftime(photo_file) + '.jpg')
|
||||
camera.capture(pict_path)
|
||||
sense.clear()
|
||||
#camera.led = True # !!! need root privileges !!!
|
||||
|
||||
return pict_path
|
||||
|
||||
########
|
||||
# MAIN #
|
||||
########
|
||||
|
||||
# Collect asked data from sensors
|
||||
for data_type in data_collection:
|
||||
data[data_type] = Raw_Data(data_type)
|
||||
|
||||
data[data_type].get_raw()
|
||||
|
||||
if verbose :
|
||||
print(data[data_type].__repr__())
|
||||
print(data[data_type]())
|
||||
|
||||
#Save data in CSV file
|
||||
|
||||
csvfile_path = path.join(data_dir, data_type + '.csv')
|
||||
|
||||
data[data_type].write_csv(csvfile_path)
|
||||
|
||||
#Take a picture
|
||||
picture_path = get_pict()
|
||||
|
||||
# Write data on picture in new picture file
|
||||
pict = Image.open(picture_path)
|
||||
|
||||
draw = ImageDraw.Draw(pict)
|
||||
# Text line height (=font size) and line space calculation
|
||||
line_height = int(y_res / 40)
|
||||
line_space = int(line_height / 10)
|
||||
|
||||
text = ''
|
||||
l = line_space
|
||||
|
||||
# Add a line with data for each data to display
|
||||
for d in data_display:
|
||||
text = str(data[d]) #.__str__()
|
||||
# Select color and font to match data quality
|
||||
if data[d].quality == 0:
|
||||
text_color = (0, 255, 0) # Quality OK : text in green
|
||||
font = font_default
|
||||
elif data[d].quality < 0:
|
||||
text_color = (100, 100, 100) # Unknown in grey
|
||||
font = font_italic
|
||||
elif data[d].quality == 1:
|
||||
text_color = (255, 255, 0) # Sensor unavailable : yellow
|
||||
font = font_italic
|
||||
else:
|
||||
text_color = (255, 0, 0) # Other = error in red
|
||||
font = font_bold
|
||||
|
||||
img_font = ImageFont.truetype(path.join(fonts_dir, font), line_height)
|
||||
draw.text((5,l), text, text_color, img_font)
|
||||
draw = ImageDraw.Draw(pict)
|
||||
l = l + line_height + line_space
|
||||
|
||||
#Get EXIF metadata and delete embedded thumbnail
|
||||
pict_exif = piexif.load(pict.info['exif'])
|
||||
del(pict_exif['thumbnail'])
|
||||
|
||||
pict.save(picture_path, 'jpeg', exif=piexif.dump(pict_exif) )
|
||||
|
||||
if verbose :
|
||||
print('Picture = ' + picture_path)
|
||||
|
||||
|
Before Width: | Height: | Size: 106 KiB After Width: | Height: | Size: 106 KiB |
Loading…
Reference in New Issue
Block a user