Grand ménage des fichiers obsolètes/inutiles et réorganisation des dossiers
This commit is contained in:
Pierrick C
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
@@ -1,361 +0,0 @@
|
||||
#!/usr/bin/python3
|
||||
# -*- coding: UTF8 -*-
|
||||
|
||||
"""datacam
|
||||
|
||||
datacam is design to take a picture with the PiCamera and collect environnemental
|
||||
data from the PiSense HAT, (almost) at the same time.
|
||||
|
||||
"""
|
||||
|
||||
#################
|
||||
# Configuration #
|
||||
#################
|
||||
|
||||
#General
|
||||
version = "v0.4"
|
||||
#time_lapse = 20 # Time between photos et data captures
|
||||
verbose = True
|
||||
|
||||
# Pictures
|
||||
ajust_time = 1 #Time waiting for the camera to ajust before taking the photo (in seconds)
|
||||
x_res = 2592 #X resolution (max = 2592)
|
||||
y_res = 1944 #Y resolution (max = 1944)
|
||||
photo_dir = "pictures" #Photo directory
|
||||
photo_file = "Test_%Y-%m-%d_%H%M%S" # Picture files name (strftime() compatible)
|
||||
photo_rotation = "180" # Image rotation in degree
|
||||
#camera_LED = True # Set to False to disable red camera LED during capture, need root privileges
|
||||
sense_LED_flash = True
|
||||
|
||||
# Data
|
||||
|
||||
#Data to collect :
|
||||
# - 'temperature_h' : temperature from humidity sensor
|
||||
# - 'temperature_p' : temperature from pressure sensor
|
||||
# - 'temperature_cpu' : temperature from CPU
|
||||
# - 'pressure' : pressure
|
||||
# - 'humidity' : relative humidity
|
||||
data_collection = ['temperature_p',
|
||||
'pressure',
|
||||
'temperature_h',
|
||||
'humidity',
|
||||
'temperature_cpu',
|
||||
'blabla',
|
||||
]
|
||||
data_display = ['pressure',
|
||||
'temperature_h',
|
||||
'humidity',
|
||||
'blabla',
|
||||
]
|
||||
data_dir = 'data'
|
||||
data_log = ['date', 'value', 'quality']
|
||||
|
||||
# Fonts
|
||||
fonts_dir = '/usr/share/fonts/truetype/freefont/'
|
||||
font_bold = 'FreeMonoBold.ttf'
|
||||
font_basic = 'FreeMono.ttf'
|
||||
font_italic = 'FreeMonoOblique.ttf'
|
||||
font_bold_italic = 'FreeMonoBoldOblique.ttf'
|
||||
font_default = font_basic
|
||||
|
||||
|
||||
#################
|
||||
# Imports #
|
||||
#################
|
||||
|
||||
from os import path, popen
|
||||
from time import sleep, strftime
|
||||
import csv
|
||||
|
||||
# Picture management with the Pi Cam
|
||||
from picamera import PiCamera
|
||||
|
||||
#Pi Sense HAT module (sensors)
|
||||
from sense_hat import SenseHat
|
||||
|
||||
# Traitement d'images
|
||||
import PIL
|
||||
from PIL import ImageFont
|
||||
from PIL import Image
|
||||
from PIL import ImageDraw
|
||||
|
||||
# For picture metadata (EXIF, IPTC...)
|
||||
import piexif
|
||||
|
||||
#Divers
|
||||
from pprint import pprint
|
||||
|
||||
#########################
|
||||
# Déclarations globales #
|
||||
#########################
|
||||
|
||||
sense = SenseHat()
|
||||
data = {}
|
||||
data_dir = path.join('/home/pi/datacam', version, data_dir)
|
||||
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...
|
||||
|
||||
class Raw_Data:
|
||||
"""Data class.
|
||||
"""
|
||||
dtype = ''
|
||||
date = ''
|
||||
value = ''
|
||||
quality = -1 # -1 : default value/data type unknown, 0 : OK, 1 : non-available
|
||||
metadata = {'desc' : 'Unknow',
|
||||
'unit' : '',
|
||||
}
|
||||
|
||||
def __init__(self, data_type):
|
||||
"Initialize new data object of the defined type."
|
||||
self.dtype = data_type
|
||||
if self.dtype == 'temperature_p':
|
||||
self.metadata = {'desc' : 'Air temperature (pressure sensors)',
|
||||
'unit' : '°C',
|
||||
'short' : 'Temperature',
|
||||
'category' : 'Environnement/Temperature',
|
||||
}
|
||||
elif self.dtype == 'temperature_h':
|
||||
self.metadata = {'desc' : 'Air temperature (pressure sensors)',
|
||||
'unit' : '°C',
|
||||
'short' : 'Temperature',
|
||||
'category' : 'Environnement/Temperature',
|
||||
}
|
||||
elif self.dtype == 'pressure':
|
||||
self.metadata = {'desc' : 'Atmospheric Pressure',
|
||||
'unit' : 'mbar',
|
||||
'short' : 'Pression',
|
||||
'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)
|
||||
|
||||
@@ -1,362 +0,0 @@
|
||||
#!/usr/bin/python3
|
||||
# -*- coding: UTF8 -*-
|
||||
|
||||
"""datacam
|
||||
v0.3
|
||||
|
||||
datacam is design to take a picture with the PiCamera and collect environnemental
|
||||
data from the PiSense HAT, (almost) at the same time.
|
||||
|
||||
"""
|
||||
|
||||
#################
|
||||
# Configuration #
|
||||
#################
|
||||
|
||||
#General
|
||||
version = "v0.3"
|
||||
#time_lapse = 20 # Time between photos et data captures
|
||||
verbose = True
|
||||
|
||||
# Pictures
|
||||
ajust_time = 1 #Time waiting for the camera to ajust before taking the photo (in seconds)
|
||||
x_res = 2592 #X resolution (max = 2592)
|
||||
y_res = 1944 #Y resolution (max = 1944)
|
||||
photo_dir = "pictures" #Photo directory
|
||||
photo_file = "Test_%Y-%m-%d_%H%M%S" # Picture files name (strftime() compatible)
|
||||
photo_rotation = "180" # Image rotation in degree
|
||||
#camera_LED = True # Set to False to disable red camera LED during capture, need root privileges
|
||||
sense_LED_flash = True
|
||||
|
||||
# Data
|
||||
|
||||
#Data to collect :
|
||||
# - 'temperature_h' : temperature from humidity sensor
|
||||
# - 'temperature_p' : temperature from pressure sensor
|
||||
# - 'temperature_cpu' : temperature from CPU
|
||||
# - 'pressure' : pressure
|
||||
# - 'humidity' : relative humidity
|
||||
data_collection = ['temperature_p',
|
||||
'pressure',
|
||||
'temperature_h',
|
||||
'humidity',
|
||||
'temperature_cpu',
|
||||
'blabla',
|
||||
]
|
||||
data_display = ['pressure',
|
||||
'temperature_h',
|
||||
'humidity',
|
||||
'blabla',
|
||||
]
|
||||
data_dir = 'data'
|
||||
data_log = ['date', 'value', 'quality']
|
||||
|
||||
# Fonts
|
||||
fonts_dir = '/usr/share/fonts/truetype/freefont/'
|
||||
font_bold = 'FreeMonoBold.ttf'
|
||||
font_basic = 'FreeMono.ttf'
|
||||
font_italic = 'FreeMonoOblique.ttf'
|
||||
font_bold_italic = 'FreeMonoBoldOblique.ttf'
|
||||
font_default = font_basic
|
||||
|
||||
|
||||
#################
|
||||
# Imports #
|
||||
#################
|
||||
|
||||
from os import path, popen
|
||||
from time import sleep, strftime
|
||||
import csv
|
||||
|
||||
# Picture management with the Pi Cam
|
||||
from picamera import PiCamera
|
||||
|
||||
#Pi Sense HAT module (sensors)
|
||||
from sense_hat import SenseHat
|
||||
|
||||
# Traitement d'images
|
||||
import PIL
|
||||
from PIL import ImageFont
|
||||
from PIL import Image
|
||||
from PIL import ImageDraw
|
||||
|
||||
# For picture metadata (EXIF, IPTC...)
|
||||
import piexif
|
||||
|
||||
#Divers
|
||||
from pprint import pprint
|
||||
|
||||
#########################
|
||||
# Déclarations globales #
|
||||
#########################
|
||||
|
||||
sense = SenseHat()
|
||||
data = {}
|
||||
data_dir = path.join('/home/pi/datacam', version, data_dir)
|
||||
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...
|
||||
|
||||
class Raw_Data:
|
||||
"""Data class.
|
||||
"""
|
||||
dtype = ''
|
||||
date = ''
|
||||
value = ''
|
||||
quality = -1 # -1 : default value/data type unknown, 0 : OK, 1 : non-available
|
||||
metadata = {'desc' : 'Unknow',
|
||||
'unit' : '',
|
||||
}
|
||||
|
||||
def __init__(self, data_type):
|
||||
"Initialize new data object of the defined type."
|
||||
self.dtype = data_type
|
||||
if self.dtype == 'temperature_p':
|
||||
self.metadata = {'desc' : 'Air temperature (pressure sensors)',
|
||||
'unit' : '°C',
|
||||
'short' : 'Temperature',
|
||||
'category' : 'Environnement/Temperature',
|
||||
}
|
||||
elif self.dtype == 'temperature_h':
|
||||
self.metadata = {'desc' : 'Air temperature (pressure sensors)',
|
||||
'unit' : '°C',
|
||||
'short' : 'Temperature',
|
||||
'category' : 'Environnement/Temperature',
|
||||
}
|
||||
elif self.dtype == 'pressure':
|
||||
self.metadata = {'desc' : 'Atmospheric Pressure',
|
||||
'unit' : 'mbar',
|
||||
'short' : 'Pression',
|
||||
'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 |
Reference in New Issue
Block a user