def create_stimuli(self, banner):
"""
Creates all stimuli that is to be drawn by the Trial class and stores them as attributes and into lists for easy drawing.
Params:
None
Returns:
None
"""
banner_text = visual.TextStim(self.win,
text=banner,
pos=[0, 500],
height=40,
wrapWidth=Constants.WINDOW_SIZE[0])
next_box_text = visual.TextStim(self.win,
text="Show next box",
pos=[0, -300])
choice_text0 = visual.TextStim(
self.win,
text='Press the circle if you believe it is the dominant colour:',
pos=[-600, -300])
choice_text1 = visual.TextStim(
self.win,
text='Press the circle if you believe it is the dominant colour:',
pos=[600, -300])
self.button0 = visual.Circle(self.win,
radius=50,
pos=[-600, -400],
fillColor=self.colours[0])
self.button1 = visual.Circle(self.win,
radius=50,
pos=[600, -400],
fillColor=self.colours[1])
self.continue_box = visual.Rect(self.win,
pos=[0, -300],
width=Constants.SQUARE_SIZE,
height=Constants.SQUARE_SIZE / 2,
fillColor="black")
rating_text0 = visual.TextStim(self.win,
text=f"More \n{self.colours[2]}",
pos=[-800, -400],
color=self.colours[0])
rating_text1 = visual.TextStim(self.win,
text=f"More \n{self.colours[3]}",
pos=[800, -400],
color=self.colours[1])
self.rating_scale = Scale(self.win, self.colours)
self.rating_stims = [rating_text0, rating_text1, banner_text
] + self.grid
self.drawables = [self.continue_box, next_box_text, banner_text
] + self.grid
self.choice_stims = [
self.button0, self.button1, choice_text0, choice_text1
]
self.boxes_revealed = 0
def main():
base = 528.00
mode_builder = ModeBuilder(base)
# Unpure Octave
mode_builder.build_scale_from_octave_adjustment()
#Pure Octave
mode_builder.build_scale_from_pythag_class()
pythag_series = PythagSeries(base)
scale = Scale(base)
scale.scale_intervals = pythag_series.scale_intervals
ModeBuilderTests.test_natural_scale(pythag_series)
ModeBuilderTests.test_octave_scale(scale)
def InicializarCeldasTR(self):
#Inicializa las celdas de carga del concentrado
self.ahxC1 = Scale(self.alsensorC1[0], self.alsensorC1[1], 1, 80)
#Celda de carga Concentrado C2
self.ahxC2 = Scale(self.alsensorC2[0], self.alsensorC2[1], 1, 80)
#Celda de carga Concentrado C3
self.ahxC3 = Scale(self.alsensorC3[0], self.alsensorC3[1], 1, 80)
#Celda de carga Concentrado C4
self.ahxC4 = Scale(self.alsensorC4[0], self.alsensorC4[1], 1, 80)
def inicializarCeldas(self):
#Inciar celdas de carga
print("\n________________\nIniciando celdas de carga\n________________\n")
#Formato tupla: self.alsensorA = (dt,sck)
#Celda de carga Concentrado C1
self.ahxC1 = Scale(self.alsensorC1[0], self.alsensorC1[1], 1, 80)
#Celda de carga Concentrado C2
self.ahxC2 = Scale(self.alsensorC2[0], self.alsensorC2[1], 1, 80)
#Celda de carga Concentrado C3
self.ahxC3 = Scale(self.alsensorC3[0], self.alsensorC3[1], 1, 80)
#Celda de carga Concentrado C4
self.ahxC4 = Scale(self.alsensorC4[0], self.alsensorC4[1], 1, 80)
#Celda de carga Levadura Mineral
self.ahxML = Scale(self.alsensorML[0], self.alsensorML[1], 1, 80)
self.resetearCeldas()
def __init__(self, filename, Cport, Tport, Sport):
self.filename=filename
self.Cport = Cport
self.Tport = Tport
self.Sport = Sport
self.con = ConductivityProbe(Cport, 115200)
self.con.openC()
self.T = TemperatureProbes(Tport, 115200)
self.T.openC()
self.S = Scale(Sport, 19200)
self.S.openC()
f = open(self.filename, "w+")
f.write("Cond\tWeight\tHotIn\tHotOut\tColdIn\tColdOut\tMonth\tDay\tHour\tMinute\tSecond\n")
f.close()
print("Waiting for first second of minute...")
time = t.localtime(None).tm_sec
while(time != 0):
time = t.localtime(None).tm_sec
def add_scales(self):
for scale in Scale.all():
#if fingerprint exists, get current fingerprint to modify
#print(scale.stamp)
if self.fingerprint(scale.id):
fingerprint = self.fingerprints[scale.id]
fingerprint.add_scale(scale)
#else create new fingerprint
else:
self.fingerprints[scale.id] = Fingerprint(scale.stamp)
self.fingerprints[scale.id].add_scale(scale)
def build_scale_from_octave_adjustment(self):
octave_scale = Scale(self.base_frequency)
octave_scale.scale_intervals = self.initial_scale.scale_intervals
octave_scale.scale_intervals = octave_scale.sort_by_final_frequency()
for i in self.mode_names:
print(i)
self.play_scale(octave_scale.scale_intervals)
octave_scale.get_next_mode()
def __init__(self):
QMainWindow.__init__(self)
# Setup the ui form
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
# Create a new QGraphicsScene and show it on the ui
self.scene = QGraphicsScene(self)
self.scene.setBackgroundBrush(QColor(120, 120, 120))
self.ui.graphicsView.setScene(self.scene)
self.ui.graphicsView.show()
# Setup tuning
self.tuning = [('Standard Tuning', [
Note("E", 2),
Note("A", 2),
Note("D", 3),
Note("G", 3),
Note("B", 3),
Note("E", 4)
]),
('Dropped D', [
Note("D", 2),
Note("A", 2),
Note("D", 3),
Note("G", 3),
Note("B", 3),
Note("E", 4)
]),
('Dropped C', [
Note("C", 2),
Note("G", 2),
Note("C", 3),
Note("F", 3),
Note("A", 3),
Note("D", 4)
])]
t1 = QGraphicsTextItem()
t2 = QGraphicsTextItem()
t3 = QGraphicsTextItem()
t4 = QGraphicsTextItem()
t5 = QGraphicsTextItem()
t6 = QGraphicsTextItem()
self.tuning_list = [t1, t2, t3, t4, t5, t6]
# Define fret number
self.FRETS = 22
# Create a new Guitar object
self.GibsonGuitar = Guitar(self.FRETS, self.tuning[0][1])
# Create a new Guitar Fretboard object and show it on the scene
self.GibsonGuitar_Fretboard = GraphicsFretboard(self.FRETS)
self.GibsonGuitar_Fretboard.setPos(0, 0)
self.scene.addItem(self.GibsonGuitar_Fretboard)
# Draw the tuning
self.draw_tuning(self.tuning[0][1])
# Populate the notes pool
self.notes = [
'A', 'A#', 'B', 'C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#'
]
# Populate the scales pool
self.scales = [
Scale("Pentatonic Major", [2, 2, 3, 2, 3], 'box_pattern'),
Scale("Pentatonic Minor", [3, 2, 2, 3, 2], 'box_pattern'),
Scale("Pentatonic Blues", [3, 2, 1, 1, 3, 2], 'box_pattern'),
Scale("Major", [2, 2, 1, 2, 2, 2, 1], 'three_notes'),
Scale("Ionian", [2, 2, 1, 2, 2, 2, 1], 'three_notes'),
Scale("Dorian", [2, 1, 2, 2, 2, 1, 2], 'three_notes'),
Scale("Phrygian", [1, 2, 2, 2, 1, 2, 2], 'three_notes'),
Scale("Lydian", [2, 2, 2, 1, 2, 2, 1], 'three_notes'),
Scale("Mixolydian", [2, 2, 1, 2, 2, 1, 2], 'three_notes'),
Scale("Aeolian", [2, 1, 2, 2, 1, 2, 2], 'three_notes'),
Scale("Locrian", [1, 2, 2, 1, 2, 2, 2], 'three_notes'),
Scale("Minor", [2, 1, 2, 2, 1, 2, 2], 'three_notes'),
Scale("Harmonic Minor", [2, 1, 2, 2, 1, 3, 1], 'three_notes'),
Scale("Melodic Minor - Ascending", [2, 1, 2, 2, 2, 2, 1],
'three_notes'),
Scale("Melodic Minor - Descending", [2, 1, 2, 2, 1, 2, 2],
'three_notes'),
Scale("Chromatic", [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
'three_notes'),
Scale("Whole Tone", [2, 2, 2, 2, 2, 2], 'three_notes'),
Scale("Diminished", [2, 1, 2, 1, 2, 1, 2], 'four_notes')
]
# Add notes and scales to the comboboxes
for note in self.notes:
self.ui.rootComboBox.addItem(note)
for scale in self.scales:
self.ui.scaleComboBox.addItem(scale.name)
for item in self.tuning:
self.ui.tuningComboBox.addItem(item[0])
# Set the init value to the first item
self.ui.rootComboBox.setCurrentIndex = 0
self.ui.scaleComboBox.setCurrentIndex = 0
# Setup the root note and the current scale to be the first item from the combobox
self.root_note = self.notes[self.ui.rootComboBox.currentIndex()]
self.currentScale = self.scales[self.ui.scaleComboBox.currentIndex()]
self.scale = self.currentScale.get_scale_notes(self.root_note)
self.update_repr()
# Signaling if combobox has changed
self.ui.rootComboBox.currentIndexChanged.connect(self.update_ui)
self.ui.scaleComboBox.currentIndexChanged.connect(self.update_ui)
self.ui.tuningComboBox.currentIndexChanged.connect(self.update_tuning)
# Set the initial position for the scale draw
self.newPos = 0
# Set the initial string number for the one sting per scale representation
self.sting_num = 0
# Length of the scale
self.intervalLength = len(self.currentScale.intervals)
# QTimer object for animation
self.timer = QTimer()
self.is_animation_active = False
# Variable to store the actual scale on the guitar for drawing
# It based on the Radio Button selection
self.notes_to_draw = []
def main():
"""
Read in settings from AMW_config.jsn. If we don't find the file, make it.
Note that we save the file with new line as a separator, but can't load it with a non-standard separator,
so we replace new lines with commas, he default separator character
"""
try:
with open('AMW_config.jsn', 'r') as fp:
data = fp.read()
data = data.replace('\n', ',')
configDict = json.loads(data)
fp.close()
# Constants for saving data
# cage name, to tell data from different cages
kCAGE_NAME = configDict.get('Cage Name')
# path where data from each day will be saved
kCAGE_PATH = configDict.get('Data Path')
# rollover time, 0 to start the file for each day at 12 midnight. Could set to 7 to synch files to mouse day/night cycle
kDAYSTARTHOUR = configDict.get('Day Start Hour')
# size of array used for threaded reading from load cell amplifier
kTHREADARRAYSIZE = configDict.get('Thread Array Size')
# cuttoff weight where we stop the thread from reading when a mouse steps away
kMINWEIGHT = configDict.get('Minimum Weight')
# GPIO pin numbers and scaling for HX711, adjust as required for individual setup
kDATA_PIN = configDict.get('GPIO Data Pin')
kCLOCK_PIN = configDict.get('GPIO Clock Pin')
kGRAMS_PER_UNIT = configDict.get('Grams Per Unit')
# RFID Reader. Note that code as written only works with ID tag readers not RDM readers because of reliance on Tag-In-Range Pin
kSERIAL_PORT = configDict.get('Serial Port')
kTIR_PIN = configDict.get('GPIO Tag In Range Pin')
#whether data is saved locally 1 or, not yet supported, sent to a server 2, or both, 3
kSAVE_DATA = configDict.get('Data Save Options')
# a dictionary of ID Tags and cutoff weights, as when monitoring animal weights over time
kHAS_CUTOFFS = configDict.get('Has Cutoffs')
if kHAS_CUTOFFS:
kCUT_OFF_DICT = configDict.get('Cutoff Dict')
else:
kCUT_OFF_DICT = None
# can call get day weights code and email weights, needs extra options
kEMAIL_WEIGHTS = configDict.get('Email Weights')
if kEMAIL_WEIGHTS:
kEMAIL_DICT = configDict.get('Email Dict')
else:
kEMAIL_DICT = None
except (TypeError, IOError, ValueError) as e:
#we will make a file if we didn't find it, or if it was incomplete
print(
'Unable to load configuration data from AMW_config.jsn, let\'s make a new AMW_config.jsn.\n'
)
jsonDict = {}
kCAGE_NAME = input(
'Enter the cage name, used to distinguish data from different cages:'
)
kCAGE_PATH = input(
'Enter the path where data from each day will be saved:')
kDAYSTARTHOUR = int(
input(
'Enter the rollover hour, in 24 hour format, when a new data file is started:'
))
kTHREADARRAYSIZE = int(
input(
'Enter size of array used for threaded reading from Load Cell:'
))
kMINWEIGHT = float(
input(
'Enter cutoff weight where we stop the thread from reading:'))
kDATA_PIN = int(
input(
'Enter number of GPIO pin connected to data pin on load cell:')
)
kCLOCK_PIN = int(
input(
'Enter number of GPIO pin connected to clock pin on load cell:'
))
kGRAMS_PER_UNIT = float(
input(
'Enter the scaling of the load cell, in grams per A/D unit:'))
kSERIAL_PORT = input(
'Enter the name of serial port used for tag reader,e.g. serial0 or ttyAMA0:'
)
kTIR_PIN = int(
input(
'Enter number of the GPIO pin connected to the Tag-In-Range pin on the RFID reader:'
))
kSAVE_DATA = int(
input(
'To save data locally, enter 1; to send data to a server, not yet supported, enter 2:'
))
tempInput = input('Track weights against existing cutoffs(Y or N):')
kHAS_CUTOFFS = bool(tempInput[0] == 'y' or tempInput[0] == 'Y')
if kHAS_CUTOFFS:
kCUT_OFF_DICT = {}
while True:
tempInput = input(
'Enter a Tag ID and cuttoff weight, separated by a comma, or return to end entry:'
)
if tempInput == "":
break
entryList = tempInput.split(',')
try:
kCUT_OFF_DICT.update({entryList[0]: float(entryList[1])})
except Exception as e:
print('bad data entered', str(e))
else:
kCUT_OFF_DICT = None
jsonDict.update({
'Has Cutoffs': kHAS_CUTOFFS,
'Cutoff Dict': kCUT_OFF_DICT
})
tempInput = input('Email weights every day ? (Y or N):')
kEMAIL_WEIGHTS = bool(tempInput[0] == 'y' or tempInput[0] == 'Y')
if kEMAIL_WEIGHTS:
kEMAIL_DICT = {}
kFROMADDRESS = input(
'Enter the account used to send the email with weight data:')
kPASSWORD = input(
'Enter the password for the email account used to send the mail:'
)
kSERVER = input(
'Enter the name of the email server and port number, e.g., smtp.gmail.com:87, with separating colon:'
)
kRECIPIENTS = tuple(
input(
'Enter comma-separated list of email addresses to get the daily weight email:'
).split(','))
kEMAIL_DICT.update({
'Email From Address': kFROMADDRESS,
'Email Recipients': kRECIPIENTS
})
kEMAIL_DICT.update({
'Email Password': kPASSWORD,
'Email Server': kSERVER
})
else:
kEMAIL_DICT = None
jsonDict.update({
'Email Weights': kEMAIL_WEIGHTS,
'Email Dict': kEMAIL_DICT
})
# add info to a dictionay we will write to file
jsonDict.update({
'Cage Name': kCAGE_NAME,
'Data Path': kCAGE_PATH,
'Day Start Hour': kDAYSTARTHOUR,
'Thread Array Size': kTHREADARRAYSIZE
})
jsonDict.update({
'Minimum Weight': kMINWEIGHT,
'GPIO Data Pin': kDATA_PIN,
'GPIO Clock Pin': kCLOCK_PIN
})
jsonDict.update({
'GPIO Tag In Range Pin': kTIR_PIN,
'Grams Per Unit': kGRAMS_PER_UNIT,
'Serial Port': kSERIAL_PORT
})
jsonDict.update({
'Data Save Options': kSAVE_DATA,
'Email Weights': kEMAIL_WEIGHTS
})
with open('AMW_config.jsn', 'w') as fp:
fp.write(
json.dumps(jsonDict, sort_keys=True, separators=('\r\n', ':')))
"""
Initialize the scale from variables listed above and do an initial taring
of the scale with 10 reads. Because pins are only accessed from C++, do not call
Python GPIO.setup for the dataPin and the clockPin
"""
scale = Scale(kDATA_PIN, kCLOCK_PIN, kGRAMS_PER_UNIT, kTHREADARRAYSIZE)
scale.weighOnce()
scale.tare(10, True)
"""
Setup tag reader and GPIO for TIR pin, with tagReaderCallback installed as
an event callback when pin changes either from low-to-high, or from high-to-low.
"""
tagReader = TagReader('/dev/' + kSERIAL_PORT,
doChecksum=False,
timeOutSecs=0.05,
kind='ID')
tagReader.installCallBack(kTIR_PIN)
"""
A new binary data file is opened for each day, with a name containing the
current date, so open a file to start with
"""
now = datetime.fromtimestamp(int(time()))
startDay = datetime(now.year, now.month, now.day, kDAYSTARTHOUR, 0, 0)
if startDay > now: # it's still "yesterday" according to kDAYSTARTHOUR definition of when a day starts
startDay = startDay - timedelta(hours=24)
startSecs = startDay.timestamp(
) # used to report time of an entry through the weighing tube
nextDay = startDay + timedelta(hours=24)
filename = kCAGE_PATH + kCAGE_NAME + '_' + str(
startDay.year) + '_' + '{:02}'.format(
startDay.month) + '_' + '{:02}'.format(startDay.day)
if kSAVE_DATA & kSAVE_DATA_LOCAL:
print('opening file name = ' + filename)
outFile = open(filename, 'ab')
from OneDayWeights import get_day_weights
"""
Weight data is written to the file as grams, in 32 bit floating point format. Each run of data is
prefaced by metadata from a 32 bit floating point metaData array of size 2. The first point contains
the last 6 digits of the RFID code, as a negative value to make it easy for analysis code to find the
start of each run. The second point contains the time in seconds since the start of the day.
Both data items have been selected to fit into a 32 bit float.
"""
metaData = array('f', [0, 0])
while True:
try:
"""
Loop with a brief sleep, waiting for a tag to be read
or a new day to start, in which case a new data file is made
"""
while RFIDTagReader.globalTag == 0:
if datetime.fromtimestamp(int(time())) > nextDay:
if kSAVE_DATA & kSAVE_DATA_LOCAL:
outFile.close()
print('save data date =', startDay.year,
startDay.month, startDay.day)
try:
get_day_weights(kCAGE_PATH, kCAGE_NAME,
startDay.year, startDay.month,
startDay.day, kCAGE_PATH, False,
kEMAIL_DICT, kCUT_OFF_DICT)
except Exception as e:
print('Error getting weights for today:' + str(e))
startDay = nextDay
nextDay = startDay + timedelta(hours=24)
startSecs = startDay.timestamp()
filename = kCAGE_PATH + kCAGE_NAME + '_' + str(
startDay.year) + '_' + '{:02}'.format(
startDay.month) + '_' + '{:02}'.format(
startDay.day)
if kSAVE_DATA & kSAVE_DATA_LOCAL:
outFile = open(filename, 'ab')
print('opening file name = ' + filename)
else:
sleep(kTIMEOUTSECS)
"""
A Tag has been read. Fill the metaData array and tell the C++ thread to start
recording weights
"""
thisTag = RFIDTagReader.globalTag
startTime = time()
print('mouse = ', thisTag)
#scale.turnOn()
metaData[0] = -(thisTag % 1000000)
metaData[1] = startTime - startSecs
scale.threadStart(scale.arraySize)
nReads = scale.threadCheck()
lastRead = 0
"""
Keep reading weights into the array until a new mouse is read by
the RFID reader, or the last read weight drops below 2 grams, or
the array is full, then stop the thread print the metaData array
and the read weights from the thread array to the file
"""
while ((RFIDTagReader.globalTag == thisTag or
(RFIDTagReader.globalTag == 0
and scale.threadArray[nReads - 1] > kMINWEIGHT))
and nReads < scale.arraySize):
if nReads > lastRead:
print(nReads, scale.threadArray[nReads - 1])
lastRead = nReads
sleep(0.05)
nReads = scale.threadCheck()
nReads = scale.threadStop()
if kSAVE_DATA & kSAVE_DATA_LOCAL:
metaData.tofile(outFile)
scale.threadArray[0:nReads - 1].tofile(outFile)
if kSAVE_DATA & kSAVE_DATA_REMOTE:
# modify to send : Time:UNIX time stamp, RFID:FULL RFID Tag, CageID: id, array: weight array
response = requests.post(
kSERVER_URL,
data={
'tag':
thisTag,
'cagename':
kCAGE_NAME,
'datetime':
int(startTime),
'array':
str((metaData +
scale.threadArray[0:nReads - 1]).tobytes(),
'latin_1')
}).text
if response != '\nSuccess\n':
print(reponse)
#scale.turnOff()
except KeyboardInterrupt:
#scale.turnOn()
event = scale.scaleRunner('10:\tQuit AutoMouseWeight program\n')
if event == 10:
if kSAVE_DATA & kSAVE_DATA_LOCAL:
outFile.close()
GPIO.cleanup()
return
except Exception as error:
print("Closing file...")
outFile.close()
GPIO.cleanup()
raise error
class Trial():
"""
A class specifying a Trial and methods related to a trial. when a trial is created, it only needs to be drawn and checked for input.
"""
def __init__(self,
win,
colours,
sequence,
mouse,
output_stream,
clock,
location_sequence,
manager,
override_text=None):
"""
Initializes a Trial object.
Params:
win: A window object the form should be drawn onto
colours: A tuple of colour strings. (names, hex, or rgb)
sequence: A sequence string containing only 0's and 1's
mouse: A mouse object for checking against mouse input
output_stream: A dictionary object containing lists for writing data into
clock: A clock object to get the current time
"""
self.manager = manager
self.clock = clock
self.win = win
self.mouse = mouse
self.output = output_stream
self.colours = colours
self.sequence = sequence
self.location_sequence = location_sequence
self.place_boxes()
info_text = Constants.TRIAL_BASE_INFO
if override_text is not None:
info_text = override_text
else:
if self.manager.failed_last == True:
info_text += Constants.FAILED_TRIAL
else:
info_text += Constants.COMPLETED_TRIAL
if len(sequence) != Constants.MATRIX[0] * Constants.MATRIX[1]:
info_text += Constants.TIMED_TRIAL_INFO
banner = Constants.BANNER_TIMED
else:
info_text += Constants.NOT_TIMED_INFO
banner = Constants.BANNER_NOT_TIMED
self.manager.scene = InfoScene(self.win, self, self.mouse, info_text)
self.create_stimuli(banner)
def to_trial(self):
self.manager.scene = self
def place_boxes(self):
"""
Places a centered grid of box stimuli and returns a list of the created grid.
Params:
None
Returns:
A python list containing all the boxes that was created for the grid
"""
boxes = []
y_offset = (
Constants.WINDOW_SIZE[1] / 2
) - 2 * Constants.SQUARE_SIZE # The starting offset of the first square. (Upper-left)
y_spacing = abs(
y_offset * 2 / (Constants.MATRIX[1] - 1)
) #Has the value for the spacing between the squares. The formula calculates even distribution on all monitors
#Places the squares in two-dimensional array structure
for _ in range(Constants.MATRIX[1]):
x_offset = (-Constants.WINDOW_SIZE[0] /
2) + 2 * Constants.SQUARE_SIZE
x_spacing = abs(x_offset * 2 / (Constants.MATRIX[0] - 1))
for _ in range(Constants.MATRIX[0]):
box = visual.Rect(
self.win,
width=Constants.SQUARE_SIZE,
height=Constants.SQUARE_SIZE,
pos=[
x_offset + Constants.CENTER_OFFSET[0],
y_offset + Constants.CENTER_OFFSET[1]
], # Sets the position to the offset values in addition to adding a global offset to each box to control grid location
fillColor="#BEBEBE")
boxes.append(box)
x_offset += x_spacing
y_offset -= y_spacing
self.grid = boxes
"""
Creates the confidence scales
"""
def create_stimuli(self, banner):
"""
Creates all stimuli that is to be drawn by the Trial class and stores them as attributes and into lists for easy drawing.
Params:
None
Returns:
None
"""
banner_text = visual.TextStim(self.win,
text=banner,
pos=[0, 500],
height=40,
wrapWidth=Constants.WINDOW_SIZE[0])
next_box_text = visual.TextStim(self.win,
text="Show next box",
pos=[0, -300])
choice_text0 = visual.TextStim(
self.win,
text='Press the circle if you believe it is the dominant colour:',
pos=[-600, -300])
choice_text1 = visual.TextStim(
self.win,
text='Press the circle if you believe it is the dominant colour:',
pos=[600, -300])
self.button0 = visual.Circle(self.win,
radius=50,
pos=[-600, -400],
fillColor=self.colours[0])
self.button1 = visual.Circle(self.win,
radius=50,
pos=[600, -400],
fillColor=self.colours[1])
self.continue_box = visual.Rect(self.win,
pos=[0, -300],
width=Constants.SQUARE_SIZE,
height=Constants.SQUARE_SIZE / 2,
fillColor="black")
rating_text0 = visual.TextStim(self.win,
text=f"More \n{self.colours[2]}",
pos=[-800, -400],
color=self.colours[0])
rating_text1 = visual.TextStim(self.win,
text=f"More \n{self.colours[3]}",
pos=[800, -400],
color=self.colours[1])
self.rating_scale = Scale(self.win, self.colours)
self.rating_stims = [rating_text0, rating_text1, banner_text
] + self.grid
self.drawables = [self.continue_box, next_box_text, banner_text
] + self.grid
self.choice_stims = [
self.button0, self.button1, choice_text0, choice_text1
]
self.boxes_revealed = 0
def check_input(self):
"""
Checks input for all components of the trial on screen except for the rating scale. It also writes to the output if a trial is failed.
Params:
None
Returns:
bool: indicating wether the Trial has ended. A true value indicates the trial has ended
"""
if (self.mouse.isPressedIn(self.button0, buttons=[0])
and self.button0 in self.drawables):
[
self.output["Decision"].append(-1)
for _ in range(len(self.output["Box_Num"]) - 1)
]
self.output["Decision"].append(self.colours[2])
self.manager.completed_trial(False)
return
elif (self.mouse.isPressedIn(self.button1, buttons=[0])
and self.button0 in self.drawables):
[
self.output["Decision"].append(-1)
for _ in range(len(self.output["Box_Num"]) - 1)
]
self.output["Decision"].append(self.colours[3])
self.manager.completed_trial(False)
return
elif (len(self.sequence) == 0
and self.mouse.isPressedIn(self.continue_box, buttons=[0])):
self.output["Box_Num"].append(self.boxes_revealed + 1)
self.output["Reaction_time"].append(-1)
self.output["Probability_Estimates"].append(-1)
[
self.output["Decision"].append(-1)
for _ in self.output["Box_Num"]
]
self.manager.completed_trial(True)
return
if 'escape' in event.getKeys():
core.quit()
if self.mouse.isPressedIn(self.continue_box, buttons=[0]):
self.next_box()
box_seen = self.clock.getTime()
self.get_rating()
rating_given = self.clock.getTime()
self.output["Reaction_time"].append(rating_given - box_seen)
def next_box(self):
"""
Opens the next box. Reads the sequence data and gives the appropriate box its colour and writes data to the output.
Params:
None
Returns:
None
"""
if (self.boxes_revealed == 0):
self.drawables += self.choice_stims
location = self.location_sequence[0]
box = self.grid[location - 1]
if (self.sequence[0] == '0'):
box.fillColor = self.colours[0]
elif (self.sequence[0] == '1'):
box.fillColor = self.colours[1]
else:
raise SyntaxError(
"The given input does not match program specification for a sequence. Allowed values: 0 and 1"
)
self.boxes_revealed += 1
self.output["Box_Num"].append(self.boxes_revealed)
self.sequence = self.sequence[1:]
self.location_sequence = self.location_sequence[1:]
def get_rating(self):
"""
Draws the rating scale and waits for input. Once the input is given, it is written to the output and the method returns.
Params:
None
Returns:
None
"""
event.clearEvents()
while (self.rating_scale.noResponse() == True):
if 'escape' in event.getKeys():
core.quit()
self.rating_scale.draw()
[x.draw() for x in self.rating_stims]
self.win.flip()
self.output["Probability_Estimates"].append(
self.rating_scale.getRating())
self.rating_scale.reset()
event.clearEvents(
) #Event queue is cleared to prevent keypresses from rating period to be carried forward
def save(self):
return self.output
def draw(self):
"""
Draws the Trial to a window.
Params:
None
Returns:
None
"""
for drawable in self.drawables:
drawable.draw()
class Dosificadora:
def __init__(self):
#Crear el objeto de la clase dosificadora
##Convenciones: axxxx: a significa atributo
#Con-> Concentrado
#Min-> Mineral
#Lev-> Levadura
#Puertos de control para las valvulas
self.avTolva = 2
self.avMineral = 16
self.avLevadura = 27
#Puertos de asignacion de las celdas de carga
self.alsensorC1 = (11, 9) #Formato tupla: (dt,sck)
self.alsensorC2 = (22, 10)
self.alsensorC3 = (24, 23)
self.alsensorC4 = (12, 6)
self.alsensorML = (19, 13)
#Puertos control de motores
self.amCon = (7, 8) #Formato tupla: (Encendido, velocidad)
self.amMin = (20, 21) #Formato tupla: (velocidad, sentido)
self.amLev = (25, 26)
#Sensibilidades celdas de carga
self.asMin = 1030.3320
self.asLev = 2563.3821
self.asC1 = 1
self.asC2 = 1
self.asC3 = 1
self.asC4 = 1
self.asConc = 53.2201
#Valores de Tara para cada celda de carga
self.asZeroMin = 0
self.asZeroLev = 0
self.asZeroC1 = 0
self.asZeroC2 = 0
self.asZeroC3 = 0
self.asZeroC4 = 0
#Masas objetivo
self.aConObj = 1
self.aMinObj = 1
self.aLevObj = 1
self.aMasaObj = [self.aConObj, self.aMinObj, self.aLevObj]
#Parametros del filtro tamizador y media movil
self.aPeso_kbuffer = [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0,
0.0]] #Formato lista [Con,Min,Lev]
self.aSk = [0.0, 0.0, 0.0] #Formato listas [Con,Min,Lev]
self.aContador = [0, 0, 0]
self.aDato_k_1 = [0.0, 0.0, 0.0]
self.aX_k_1 = [0.0, 0.0, 0.0]
#Valores para algoritmo de control
self.aMultiplo = [0.8, 0.8, 0.8] #Formato listas [Con,Min,Lev]
self.aDeltaRef = [0.0, 0.0, 0.0]
self.aInt = [0.0, 0.0, 0.0]
self.aKp = [0.00051743, 0.0, 0.0]
self.aKi = [0.0, 0.0, 0.0]
self.aKd = [0.00080848, 0.0, 0.0]
self.aN = [0.3704]
self.aVk_1 = 0.0
self.aEk_1 = 0.0
self.aYk_1 = 0.0
self.aDk_1 = 0.0
self.aUk_1 = 0
self.aRk_1 = 0
self.aInt_Retardo = 0
self.aTcontador = 0
self.aDoCalcularKp = [True, True, True]
self.aPWM = [0.0, 0.0, 0.0]
self.aAceleracion = [300.0, 0.0, 0.0]
#Otros atributos
self.asText = "________________" #Separador de Textos
self.minCon = 39.0 #Menor ciclo de PWM permitido para el concentrado
self.maxCon = 99.0 #Mayor ciclo de PWM permitido para el concentrado
self.razon = [
60.0, 50.0, 10.0
] #Mayor tasa de cambio permitida por el filtro tamizador
#Formato lista [Con,Min,Lev]
self.aConCrucero = 70.0 #Velocidad crucero motor Con
self.aConMin = 60.0 #Minima velocidad para mover el motor
def __del__(self):
#Metodo destructor de objeto
nombre = self.__class__.__name__
print(nombre, "Destruido")
def inicializarPuertos(self):
#Encargado de iniciar el estado de los puertos de RPi.
print("\n________________\nIniciando puertos\n________________\n")
#Configurar puertos
#Valvulas
GPIO.setup(self.avTolva, GPIO.OUT)
GPIO.setup(self.avMineral, GPIO.OUT)
GPIO.setup(self.avLevadura, GPIO.OUT)
#Motores
#Concentrado
GPIO.setup(self.amCon[0], GPIO.OUT)
GPIO.setup(self.amCon[1], GPIO.OUT)
#Mineral
GPIO.setup(self.amMin[0], GPIO.OUT)
GPIO.setup(self.amLev[0], GPIO.OUT)
#Levadura
GPIO.setup(self.amMin[1], GPIO.OUT)
GPIO.setup(self.amLev[1], GPIO.OUT)
#Colocar todos los puertos en BAJO "LOW".
GPIO.output(self.avTolva, 0)
GPIO.output(self.avMineral, 0)
GPIO.output(self.avLevadura, 0)
GPIO.output(self.amCon[0], 0)
GPIO.output(self.amCon[1], 0)
GPIO.output(self.amMin[0], 0)
GPIO.output(self.amMin[1], 0)
GPIO.output(self.amLev[0], 0)
GPIO.output(self.amLev[1], 0)
def inicializarMotores(self):
#Iniciar el estado de los motores
#Frecuencia de PWM
self.amMinPWM = GPIO.PWM(self.amMin[0],
300) #Formato tupla: (velocidad, sentido)
self.amLevPWM = GPIO.PWM(self.amLev[0],
300) #Formato tupla: (velocidad, sentido)
self.amConPWM = GPIO.PWM(self.amCon[1], 250)
##Iniciar PWM en valor 0
self.amMinPWM.start(0)
self.amLevPWM.start(0)
self.amConPWM.start(0)
def inicializarCeldas(self):
#Inciar celdas de carga
print(
"\n________________\nIniciando celdas de carga\n________________\n"
)
#Formato tupla: self.alsensorA = (dt,sck)
#Celda de carga Concentrado C1
self.ahxC1 = Scale(self.alsensorC1[0], self.alsensorC1[1], 1, 80)
#Celda de carga Concentrado C2
self.ahxC2 = Scale(self.alsensorC2[0], self.alsensorC2[1], 1, 80)
#Celda de carga Concentrado C3
self.ahxC3 = Scale(self.alsensorC3[0], self.alsensorC3[1], 1, 80)
#Celda de carga Concentrado C4
self.ahxC4 = Scale(self.alsensorC4[0], self.alsensorC4[1], 1, 80)
#Celda de carga Levadura Mineral
self.ahxML = Scale(self.alsensorML[0], self.alsensorML[1], 1, 80)
self.resetearCeldas()
def encenderMotores(self, motor):
#Metodo que activa los motores
#Entrada: self-> Objeto propio de python
# motor-> Selector del motor:
# Con: Concentrado, Min: mineral Lev: levadura
if (motor == 'Con'):
if self.aConObj != 0:
#Encendido motor Con
velocidad = 99 #self.aConCrucero
self.amConPWM.ChangeDutyCycle(velocidad)
GPIO.output(self.amCon[0], 1)
else:
print("Masa es 0, concentrado no encendido")
return
if (motor == 'Min'):
if self.aMinObj != 0:
self.amMinPWM.ChangeFrequency(750)
self.amMinPWM.ChangeDutyCycle(50)
else:
print("Masa igual a 0, mineral no encendido")
return
if (motor == 'Lev'):
if self.aLevObj != 0:
self.amLevPWM.ChangeFrequency(750)
self.amLevPWM.ChangeDutyCycle(50)
else:
print("Masa igual a 0, levadura no encendido")
return
else:
print("Motor no encontrado")
def desacelerarMotores(self, motor):
#Metodo que desacelera los motores
if (motor == 'Con'):
velocidad = self.aConMin
self.amConPWM.ChangeDutyCycle(velocidad)
return
if (motor == 'Min'):
self.amMinPWM.ChangeFrequency(200)
self.amMinPWM.ChangeDutyCycle(50)
return
if (motor == 'Lev'):
self.amLevPWM.ChangeFrequency(200)
self.amLevPWM.ChangeDutyCycle(50)
return
else:
print("Motor no encontrado")
return
def apagarMotores(self, motor, condicion):
#Detener motores
#Entradas: motor: Seleccion del motor deseado
# Con -> Concentrado
# Min -> Mineral
# Lev -> Levadura
# Condicion: Indica si el motor no fue apagado en la iteracion anterior
if (motor == 'Con'):
GPIO.output(self.amCon[0], 0)
self.amConPWM.stop()
if condicion:
print("Concentrado apagado")
return
if (motor == 'Min'):
self.amMinPWM.ChangeFrequency(50)
self.amMinPWM.ChangeDutyCycle(0)
if condicion:
print("Mineral apagado")
return
if (motor == 'Lev'):
self.amLevPWM.ChangeFrequency(50)
self.amLevPWM.ChangeDutyCycle(0)
if condicion:
print("Levadura apagado")
return
else:
print("Motor no encontrado")
return
def abrirCerrarValvulas(self, valvula, condicion):
#Metodo de abrir y cerrar valvulas
#Entradas: valvula:
# Tolv -> Puerta de la tolva Romana
# Min -> Compuerta del mineral
# Lev -> Compuerta levadura
# condicion:
# 0 -> Valvula cerrada
# 1 -> Valvula abierta
if (valvula == 'Tolv'):
GPIO.output(self.avTolva, condicion)
return
if (valvula == 'Min'):
GPIO.output(self.avMineral, condicion)
return
if (valvula == 'Lev'):
GPIO.output(self.avLevadura, condicion)
return
else:
print("Valvula incorrecta")
def cambiarSensibilidad(self, celda, sensibilidad):
#Metodo para cambiar la sensibilidad de la celda de carga: (depuracion)
#Formato de celda: 'Min','Lev','A','B'
#Entradas: celda: A1, A2, B1, B2, Min, Lev
print("Cambiando sensibilidad")
if (celda == 'A1'):
self.asA1 = sensibilidad
self.axA.select_channel(channel='A')
self.axA.set_scale_ratio(sensibilidad)
return
if (celda == 'A2'):
self.asA2 = sensibilidad
self.axA.select_channel(channel='B')
self.axA.set_scale_ratio(sensibilidad)
return
if (celda == 'B1'):
self.asB1 = sensibilidad
self.axB.select_channel(channel='A')
self.axB.set_scale_ratio(sensibilidad)
return
if (celda == 'B2'):
self.asB2 = sensibilidad
self.axB.select_channel(channel='B')
self.axB.set_scale_ratio(sensibilidad)
return
if (celda == 'Min'):
self.asMin = sensibilidad
self.axML.select_channel(channel='A')
self.axML.set_scale_ratio(sensibilidad)
return
if (celda == 'Lev'):
self.asLev = sensibilidad
self.axML.select_channel(channel='A')
self.axML.set_scale_ratio(sensibilidad)
return
else:
print("Celda no encontrada")
def leerMineral(self, lecturas):
#Leer el peso del mineral en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
#Mineral puerto A del sensor
masaMin = -((self.ahxML.weighOnce()) - self.asZeroMin) / self.asMin
return masaMin
def leerLevadura(self, lecturas):
#Leer el peso del mineral en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
masaLev = (self.ahxML.weighOnce() - self.asZeroLev) / self.asLev
return masaLev
def leerConcentrado(self, lecturas):
#Leer el peso del concentrado en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
Conc1 = self.ahxC1.weighOnce() - self.asZeroC1
Conc2 = self.ahxC2.weighOnce() - self.asZeroC2
Conc3 = self.ahxC3.weighOnce() - self.asZeroC3
Conc4 = -(self.ahxC4.weighOnce() - self.asZeroC4)
Conc = (Conc1 + Conc2 + Conc3 + Conc4) / (4 * self.asConc)
#Nota: De momento se estan leyendo solo las celdas de los puertos A del concentrado
# las celdas B presetan problemas de retardos en las lecturas
return float(Conc)
def cerrarSteppers(self):
#Metodo para apagar puertos de velocidad de los motores
self.amMinPWM.stop()
self.amLevPWM.stop()
self.amConPWM.stop()
def leer4Concentrado(self):
#Metodo para leer por separado cada celda de carga del concentrado (depuracion)
Conc1 = self.ahxC1.weighOnce() - self.asZeroC1
Conc2 = self.ahxC2.weighOnce() - self.asZeroC2
Conc3 = self.ahxC3.weighOnce() - self.asZeroC3
Conc4 = -(self.ahxC4.weighOnce() - self.asZeroC4)
print("%d\t%d\t%d\t%d" % (Conc1, Conc2, Conc3, Conc4))
def leer4ConcentradoRaw(self, lecturas):
#Metodo para leer cada celda del concentrado sin restar tara (depuracion)
Conc1 = self.ahxC1.weighOnce()
Conc2 = self.ahxC2.weighOnce()
Conc3 = self.ahxC3.weighOnce()
Conc4 = self.ahxC4.weighOnce()
print("%d\t%d\t%d\t%d" % (Conc1, Conc2, Conc3, Conc4))
def tararConcentrado(self, imprimir=False, lecturas=30):
#Metodo para tarar los amplificadores del concentrado
if imprimir:
print("Tarando")
self.asZeroC1 = self.ahxC1.weigh(80)
self.asZeroC2 = self.ahxC2.weigh(80)
self.asZeroC3 = self.ahxC3.weigh(80)
self.asZeroC4 = self.ahxC4.weigh(80)
if imprimir:
print("Tara del concentrado\n%d\t%d\t%d\t%d\t" %
(self.asZeroC1, self.asZeroC2, self.asZeroC3, self.asZeroC4))
def tararMineral(self, printVal=False, lecturas=30):
#Metodo para tarar mineral
self.asZeroMin = self.ahxML.tare(lecturas, False)
if printVal:
print("\tTara del mineral %d" % (self.asZeroMin))
def tararLevadura(self, printVal=False, lecturas=30):
#Metodo para tarar levdura
self.asZeroMin = self.ahxML.tare(lecturas, False)
if printVal:
print("\tTara de la levadura %d" % (self.asZeroMin))
def filtradorTamizador(self, dato, alimento):
#Metodo para filtrar y tamizar los valores de las celdas de carga
#Se aplica un filtro de media movil con tres periodos,
#luego se eliminan las lecturas que presenten cambios abruptos respecto de los valores predecesores.
if alimento == 'Con':
#Tamizar
if ((abs(dato - self.aDato_k_1[0])) > self.razon[0]):
datoT = self.aX_k_1[0]
#print("Tamizado")
else:
datoT = dato
#Filtrar
self.aSk[0] = self.aSk[0] - self.aPeso_kbuffer[0][
self.aContador[0]] + datoT
concentrado = self.aSk[0] / 5
self.aPeso_kbuffer[0][self.aContador[0]] = datoT
#Mover el contador y retrasar las muestras
self.aContador[0] += 1
self.aDato_k_1[0] = dato
self.aX_k_1[0] = datoT
if self.aContador[0] == 5:
self.aContador[0] = 0
return concentrado
if alimento == 'Min':
#Tamizar
if ((abs(dato - self.peso_k_1[1])) > self.razon[1]):
datoT = self.peso_k_1[1]
print("Tamizado")
else:
datoT = dato
#Filtrar
self.aSk[1] = self.aSk[1] - self.aPeso_kbuffer[1][
self.aContador[1]] + datoT
mineral = self.aSk[1] / 5
self.aPeso_kbuffer[1][self.aContador[1]] = datoT
#Mover el contador y retrasar las muestras
self.aContador[1] += 1
self.aDato_k_1[1] = dato
self.aX_k_1[1] = datoT
if self.aContador[1] == 5:
self.aContador[1] = 0
return mineral
if alimento == 'Lev':
#Tamizar
if ((abs(dato - self.aDato_k_1[2])) > self.razon[2]):
datoT = self.aX_k_1[2]
#print("Tamizado")
else:
datoT = dato
#Filtrar
self.aSk[2] = self.aSk[2] - self.aPeso_kbuffer[2][
self.aContador[2]] + datoT
levadura = self.aSk[2] / 5
self.aPeso_kbuffer[2][self.aContador[2]] = datoT
#Mover el contador y retrasar las muestras
self.aContador[2] += 1
self.aDato_k_1[2] = dato
self.aX_k_1[2] = datoT
if self.aContador[2] == 5:
self.aContador[2] = 0
return levadura
else:
print("Alimento no encontrado")
def inRangeCoerce(self, dato, minimo=0.0, maximo=100.0):
#Metodo que limita los valores de una variable
if dato > maximo:
return maximo
if dato < minimo:
return minimo
else:
return dato
def normalizarVelocidadConcentrado(self, dato):
#Metodo para normalizar los valores del concentrado
#Debido a la electronica, el valor de PWM permitido es entre 39 y 99.
#Fuera de esos valores comienza a presentarse comportamiento erratico.
dato = self.inRangeCoerce(dato, 0, 100)
dato = (self.maxCon - self.minCon) / 100 * dato + self.minCon
return dato
#Metodos para resumir bloques de la secuencia
def tararCeldas(self):
#Metodo para tarar todas las cedas de carga. Permite no hacerlo desde el main
self.leerMineral(80)
print("________________\nTarando Concentrado\n________________\n")
self.tararConcentrado(80, True)
print("Zero A1 ", self.asZeroC1)
print("Zero A2 ", self.asZeroC2)
print("Zero B1 ", self.asZeroC3)
print("Zero B2 ", self.asZeroC4)
print("________________\nTarando Mineral\n________________\n")
self.tararMineral(80)
print("________________\nTarando Levadura\n________________\n")
self.tararLevadura(80)
def resetearCeldas(self):
print("Reseteando celdas de carga concentrado")
#Celdas del concentrado
self.ahxC1.turnOff()
time.sleep(0.5)
self.ahxC1.turnOn()
time.sleep(0.5)
self.ahxC1.turnOff()
time.sleep(0.5)
self.ahxC1.turnOn()
time.sleep(0.5)
self.ahxC2.turnOff()
time.sleep(0.5)
self.ahxC2.turnOn()
time.sleep(0.5)
self.ahxC3.turnOff()
time.sleep(0.5)
self.ahxC3.turnOn()
time.sleep(0.5)
self.ahxC4.turnOff()
time.sleep(0.5)
self.ahxC4.turnOn()
time.sleep(0.5)
print("Reseteando celdas de carga Mineral y Levadura")
self.ahxML.turnOff()
time.sleep(0.5)
self.ahxML.turnOn()
time.sleep(0.5)
def filtroButterWorth(self, xk):
self.yk = (
0.7769 * self.xk_1 #- 0.007079*self.xk_2
+ 0.2231 * self.yk_1) #- 0.000002 * self.yk_2)
#Retrasar muestras
#self.xk_4 = self.xk_3
#self.xk_3 = self.xk_2
self.xk_2 = self.xk_1
self.xk_1 = xk
#self.yk_4 = self.yk_3
#self.yk_3 = self.yk_2
self.yk_2 = self.yk_1
self.yk_1 = self.yk
return self.yk
def controlPD(self, yk):
#Comienza algoritmo de control
#Estimacion de la velocidad
#vk = yk-self.aYk_1+0.6703*self.aVk_1
#Estimacion del retardo
#self.aInt_Retardo = self.inRangeCoerce(self.aInt_Retardo,0,10000)
#Estimacion del error
ek = (self.aMasaObj[0] - yk)
#Estimacion del control PD
pk = self.aKp[0] * (ek)
dk = ((self.aKd[0] * self.aN[0]) *
(ek - self.aEk_1) + self.aDk_1) / (1 + self.aN[0] * 0.05)
pidk = pk + dk + 0.4
#Compensacion de componente no lineal
pidk = 100 * self.inRangeCoerce(pidk, 0, 0.99)
self.amConPWM.ChangeDutyCycle(pidk)
#Termina algoritmo de control
#Retrasa las muestras
self.aYk_1 = yk
self.aDk_1 = dk
self.aEk_1 = ek
self.aPWM[0] = pidk
def generadorTrayectoria(self):
print("Generando Trayectorias")
a = self.aAceleracion[0]
t2 = self.aMasaObj[0] / a - 2
tf = t2 + 4
k = 0
m1 = 0.5 * a
m2 = a * t2 + m1
tiempo = np.arange(0.05, 30.05, 0.05)
k = 0
mk = np.zeros(600)
#Inicia la generacion de la trayectoria
t = 0
while t < 30:
t = tiempo[k]
if t <= 1:
mk[k] = (a / 2) * t * t
if ((1 < t) and (t <= (t2 + 1))):
mk[k] = a * (t - 1) + m1
if ((t2 + 1 < t) and (t <= tf)):
mk[k] = -a / 6 * (t - t2 - 1) * (t - t2 - 1) + a * (t - t2 -
1) + m2
elif (t > tf):
mk[k] = self.aMasaObj[0]
k += 1
print("Trayectoria generada")
self.aTrayectoriaCon = mk
@app.route('/favicon.ico')
def favicon():
return send_from_directory(os.path.join(app.root_path, 'static'),
'favicon.ico',
mimetype='image/vnd.microsoft.icon')
@app.errorhandler(418)
@app.route('/418')
def error418():
return "I'm a tea pot", 418
def getStats():
return {
'grams': round(scale.readGrams(), 2),
'ounces': round(scale.readOunces(), 2),
'cups': round(scale.readOunces() / 8.0, 2),
'servings': round(scale.readOunces() / 4.5, 2),
'caffeine': str(round((scale.readOunces() / 8.5) * 49, 2)) + "mg"
}
if __name__ == "__main__":
scale = Scale(VENDOR_ID, PRODUCT_ID)
app.debug = False
app.template_folder = "./"
app.run(host='0.0.0.0', port=80)
class Testing:
def __init__(self):
#Atributos de las celdas de carga del concentrado
self.alsensorC1 = (11, 9) #Formato tupla: (dt,sck)
self.alsensorC2 = (22, 10)
self.alsensorC3 = (24, 23)
self.alsensorC4 = (12, 6)
self.alsensorML = (19, 13)
self.asZeroC1 = 0
self.asZeroC1 = 0
self.asZeroC1 = 0
self.asZeroC1 = 0
self.asZeroMin = 0
self.asZeroLev = 0
self.asConc = 53.2201
self.asMin = 1030.3320
self.asLev = 2563.3821
#Atributos del filtro
self.aDato_k_1 = [0.0, 0.0, 0.0]
self.razon = [60.0, 50.0, 10.0]
self.aX_k_1 = [0.0, 0.0, 0.0]
self.aSk = [0.0, 0.0, 0.0]
self.aPeso_kbuffer = np.zeros((3, 20), dtype=np.float32)
self.aContador = [0, 0, 0]
#Otros atributos
self.aEspacio = "_________________"
def __del__(self):
nombre = self.__class__.__name__
print(nombre, "Destruido")
def InicializarCeldasTR(self):
#Inicializa las celdas de carga del concentrado
self.ahxC1 = Scale(self.alsensorC1[0], self.alsensorC1[1], 1, 80)
#Celda de carga Concentrado C2
self.ahxC2 = Scale(self.alsensorC2[0], self.alsensorC2[1], 1, 80)
#Celda de carga Concentrado C3
self.ahxC3 = Scale(self.alsensorC3[0], self.alsensorC3[1], 1, 80)
#Celda de carga Concentrado C4
self.ahxC4 = Scale(self.alsensorC4[0], self.alsensorC4[1], 1, 80)
def InicializarCeldasML(self):
#Inicializa las celdas de carga del mineral Levadura
self.ahxML = Scale(self.alsensorML[0], self.alsensorML[1], 1, 80)
def ResetearCeldasTR(self):
print("Reseteando celdas de carga concentrado")
#Celdas del concentrado
self.ahxC1.turnOff()
time.sleep(0.5)
self.ahxC1.turnOn()
time.sleep(0.5)
self.ahxC1.turnOff()
time.sleep(0.5)
self.ahxC1.turnOn()
time.sleep(0.5)
self.ahxC2.turnOff()
time.sleep(0.5)
self.ahxC2.turnOn()
time.sleep(0.5)
self.ahxC3.turnOff()
time.sleep(0.5)
self.ahxC3.turnOn()
time.sleep(0.5)
self.ahxC4.turnOff()
time.sleep(0.5)
self.ahxC4.turnOn()
time.sleep(0.5)
def ResetearCeldasML(self):
print("Reseteando celdas de carga concentrado")
#Celdas del concentrado
self.ahxML.turnOff()
time.sleep(0.5)
self.ahxML.turnOn()
def LeerConcentrado(self, lecturas):
#Leer el peso del concentrado en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
concentrado = 0
for i in range(lecturas):
Conc1 = self.ahxC1.weighOnce() - self.asZeroC1
Conc2 = self.ahxC2.weighOnce() - self.asZeroC2
Conc3 = self.ahxC3.weighOnce() - self.asZeroC3
Conc4 = -(self.ahxC4.weighOnce() - self.asZeroC4)
Conc = (Conc1 + Conc2 + Conc3 + Conc4) / (4 * self.asConc)
concentrado += Conc
concentrado = concentrado / lecturas
return float(concentrado)
def LeerMineral(self, lecturas):
#Leer el peso del mineral en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
#Mineral puerto A del sensor
masaMin = -((self.ahxML.weighOnce()) - self.asZeroMin) / self.asMin
return masaMin
def FiltroMediaTamizador(self, dato, alimento, periodos=5):
#Metodo para filtrar y tamizar los valores de las celdas de carga
#Se aplica un filtro de media movil con n periodos,
#luego se eliminan las lecturas que presenten cambios abruptos respecto de los valores predecesores.
if alimento == 'Con':
#Tamizar
if ((abs(dato - self.aDato_k_1[0])) > self.razon[0]):
datoT = self.aX_k_1[0]
#print("Tamizado")
else:
datoT = dato
#Filtrar
self.aSk[0] = self.aSk[0] - self.aPeso_kbuffer[0][
self.aContador[0]] + datoT
concentrado = self.aSk[0] / periodos
self.aPeso_kbuffer[0][self.aContador[0]] = datoT
#Calcular filtro de media movil en linea
self.aContador[0] += 1
self.aDato_k_1[0] = dato
self.aX_k_1[0] = datoT
if self.aContador[0] == periodos:
self.aContador[0] = 0
return concentrado
if alimento == 'Min':
#Tamizar
if ((abs(dato - self.peso_k_1[1])) > self.razon[1]):
datoT = self.peso_k_1[1]
print("Tamizado")
else:
datoT = dato
#Filtrar
self.aSk[1] = self.aSk[1] - self.aPeso_kbuffer[1][
self.aContador[1]] + datoT
mineral = self.aSk[1] / periodos
self.aPeso_kbuffer[1][self.aContador[1]] = datoT
#Mover el contador y retrasar las muestras
self.aContador[1] += 1
self.aDato_k_1[1] = dato
self.aX_k_1[1] = datoT
if self.aContador[1] == periodos:
self.aContador[1] = 0
return mineral
if alimento == 'Lev':
#Tamizar
if ((abs(dato - self.aDato_k_1[2])) > self.razon[2]):
datoT = self.aX_k_1[2]
#print("Tamizado")
else:
datoT = dato
#Filtrar
self.aSk[2] = self.aSk[2] - self.aPeso_kbuffer[2][
self.aContador[2]] + datoT
levadura = self.aSk[2] / periodos
self.aPeso_kbuffer[2][self.aContador[2]] = datoT
#Mover el contador y retrasar las muestras
self.aContador[2] += 1
self.aDato_k_1[2] = dato
self.aX_k_1[2] = datoT
if self.aContador[2] == periodos:
self.aContador[2] = 0
return levadura
else:
print("Alimento no encontrado")
def TararConcentrado(self, imprimir=False, lecturas=30):
#Metodo para tarar los amplificadores del concentrado
if imprimir:
print("Tarando")
self.asZeroC1 = self.ahxC1.weigh(lecturas)
self.asZeroC2 = self.ahxC2.weigh(lecturas)
self.asZeroC3 = self.ahxC3.weigh(lecturas)
self.asZeroC4 = self.ahxC4.weigh(lecturas)
if imprimir:
print("Tara del concentrado\n%d\t%d\t%d\t%d\t" %
(self.asZeroC1, self.asZeroC2, self.asZeroC3, self.asZeroC4))
def ProbarCeldasTR(self, tiempo):
#Obtiene muestras de la celda de carga por una cantidad determinada de tiempo
print(self.aEspacio)
print("Probando celdas de carga Tolva Romana")
print(self.aEspacio)
self.InicializarCeldasTR()
self.ResetearCeldasTR()
self.TararConcentrado(False, 80)
print("Sin filtro\tCon Filtro")
tic = time.time()
while True:
Con = self.LeerConcentrado(4)
#Calcular filtro de media movil en linea
ConF = self.FiltroMediaTamizador(Con, 'Con', 5)
print("%f\t%f" % (Con, ConF))
toc = time.time()
#Condicion de parada para el ciclo
if ((toc - tic) >= tiempo):
break
def ProbarCeldasMinLev(self, tiempo):
#Obtiene muestras de la celda de carga por una cantidad determinada de tiempo
print(self.aEspacio)
print("Probando celdas de carga Mineral-Levadura")
print(self.aEspacio)
self.InicializarCeldasML()
self.ResetearCeldasML()
self.TararMinLev(False, 80)
print("Sin filtro\tCon Filtro")
tic = time.time()
while True:
Min = self.LeerMineral(80)
#Calcular filtro de media movil en linea
ConF = self.FiltroMediaTamizador(Con, 'Con', 5)
print("%f\t%f" % (Con, ConF))
toc = time.time()
#Condicion de parada para el ciclo
if ((toc - tic) >= tiempo):
break
def testScale(self):
for S, R in self.KnownScale:
P = Scale(S).ToIntervalPattern()
self.assertEqual(P, R)
print(S, "to interval pattern yields", R)
class Player(Repeatable):
# Set private values
__vars = []
__init = False
# These are used by FoxDot
keywords = ('degree', 'oct', 'freq', 'dur', 'delay', 'buf', 'blur',
'amplify', 'scale', 'bpm', 'sample')
# Base attributes
base_attributes = (
'sus',
'fmod',
'vib',
'slide',
'slidefrom',
'pan',
'rate',
'amp',
'room',
'bits',
)
fx_attributes = FxList.kwargs()
metro = None
server = None
# Tkinter Window
widget = None
default_scale = Scale.default()
default_root = Root.default()
def __init__(self):
# Inherit
Repeatable.__init__(self)
# General setup
self.synthdef = None
self.id = None
self.quantise = False
self.stopping = False
self.stop_point = 0
self.following = None
self.queue_block = None
self.playstring = ""
self.char = PlayerKey("", parent=self)
self.buf_delay = []
# Visual feedback information
self.envelope = None
self.line_number = None
self.whitespace = None
self.bang_kwargs = {}
# Modifiers
self.reversing = False
self.degrading = False
# Keeps track of which note to play etc
self.event_index = 0
self.event_n = 0
self.notes_played = 0
self.event = {}
# Used for checking clock updates
self.old_dur = None
self.old_pattern_dur = None
self.isplaying = False
self.isAlive = True
# These dicts contain the attribute and modifier values that are sent to SuperCollider
self.attr = {}
self.modf = {}
# Keyword arguments that are used internally
self.scale = None
self.offset = 0
self.following = None
# List the internal variables we don't want to send to SuperCollider
self.__vars = self.__dict__.keys()
self.__init = True
self.reset()
# Class methods
@classmethod
def Attributes(cls):
return cls.keywords + cls.base_attributes + cls.fx_attributes
# Player Object Manipulation
def __rshift__(self, other):
""" The PlayerObject Method >> """
if isinstance(other, SynthDefProxy):
self.update(other.name, other.degree, **other.kwargs)
self + other.mod
for method, arguments in other.methods.items():
args, kwargs = arguments
getattr(self, method).__call__(*args, **kwargs)
return self
raise TypeError(
"{} is an innapropriate argument type for PlayerObject".format(
other))
return self
def __setattr__(self, name, value):
if self.__init:
# Force the data into a Pattern if the attribute is used with SuperCollider
if name not in self.__vars:
value = asStream(value) if not isinstance(value,
PlayerKey) else value
# Update the attribute dict
self.attr[name] = value
# Update the current event
# self.event[name] = modi(value, self.event_index)
## # Make sure the object's dict uses PlayerKey instances
##
## if name not in self.__dict__:
##
## self.__dict__[name] = PlayerKey(self.event[name], parent=self)
##
## elif not isinstance(self.__dict__[name], PlayerKey):
##
## self.__dict__[name] = PlayerKey(self.event[name], parent=self)
##
## else:
##
## self.__dict__[name].update(self.event[name])
return
self.__dict__[name] = value
return
def __eq__(self, other):
return self is other
def __ne__(self, other):
return not self is other
# --- Startup methods
def reset(self):
# Add all keywords to the dict, then set non-zero defaults
for key in Player.Attributes():
if key != "scale":
self.attr[key] = asStream(0)
if key not in self.__dict__:
self.__dict__[key] = PlayerKey(0, parent=self)
elif not isinstance(self.__dict__[key], PlayerKey):
self.__dict__[key] = PlayerKey(0, parent=self)
else:
self.__dict__[key].update(0)
# --- SuperCollider Keywords
# Left-Right panning (-1,1)
self.pan = 0
# Sustain
self.sus = 1
# Amplitude
self.amp = 1
# Rate - varies between SynthDef
self.rate = 1
# Audio sample buffer number
self.buf = 0
# Reverb
self.verb = 0.25
self.room = 0.00
# Frequency modifier
self.fmod = 0
# Buffer
self.sample = 0
# Frequency / rate modifier
self.slide = 0
self.slidefrom = 1
# Echo effect
self.decay = 1
# Filters
self.lpr = 1
self.hpr = 1
# --- FoxDot Keywords
# Duration of notes
self.dur = 0.5 if self.synthdef == SamplePlayer else 1
self.old_pattern_dur = self.old_dur = self.attr['dur']
self.delay = 0
# Degree of scale / Characters of samples
self.degree = " " if self.synthdef is SamplePlayer else 0
# Octave of the note
self.oct = 5
# Amplitude mod
self.amplify = 1
# Legato
self.blur = 1
# Tempo
self.bpm = None
# Frequency and modifier
self.freq = 0
# Offbeat delay
self.offset = 0
# Modifier dict
self.modf = dict([(key, [0]) for key in self.attr])
return self
# --- Update methods
def __call__(self, **kwargs):
# If stopping, kill the event
if self.stopping and self.metro.now() >= self.stop_point:
self.kill()
return
# If the duration has changed, work out where the internal markers should be
if self.dur_updated() or kwargs.get("count", False) is True:
try:
# this is where self.reversing goes wrong
self.event_n, self.event_index = self.count(self.event_index)
except TypeError:
print("TypeError: Innappropriate argument type for 'dur'")
self.old_dur = self.attr['dur']
# Get the current state
dur = 0
while True:
self.get_event()
# Set a 'None' to 0
if self.event['dur'] is None:
dur = 0
# If there are more than one dur (happens sometimes because of threading), only use first
# This is a temporary solution <-- TODO
try:
if len(self.event['dur']) > 0:
self.event['dur'] = self.event['dur'][0]
except TypeError:
pass
finally:
if isinstance(self.event['dur'], TimeVar.var):
dur = float(self.event['dur'].now(self.event_index))
else:
dur = float(self.event['dur'])
# Skip events with durations of 0
if dur == 0:
self.event_n += 1
else:
break
# Play the note
if self.metro.solo == self and kwargs.get(
'verbose', True) and type(self.event['dur']) != rest:
self.send()
# If using custom bpm
if self.event['bpm'] is not None:
try:
tempo_shift = float(self.metro.bpm) / float(self.event['bpm'])
except (AttributeError, TypeError):
tempo_shift = 1
dur *= tempo_shift
# Schedule the next event
self.event_index = self.event_index + dur
self.metro.schedule(self, self.event_index, kwargs={})
# Change internal marker
self.event_n += 1
self.notes_played += 1
return
def count(self, time=None, event_after=False):
""" Counts the number of events that will have taken place between 0 and `time`. If
`time` is not specified the function uses self.metro.now(). Setting `event_after`
to `True` will find the next event *after* `time`"""
n = 0
acc = 0
dur = 0
now = (time if time is not None else self.metro.now())
durations = self.rhythm()
total_dur = float(sum(durations))
if total_dur == 0:
WarningMsg("Player object has a total duration of 0. Set to 1")
durations = [1]
total_dur = 1
self.dur = 1
acc = now - (now % total_dur)
try:
n = int(len(durations) * (acc / total_dur))
except TypeError as e:
WarningMsg(e)
self.stop()
return 0, 0
if acc != now:
while True:
dur = float(modi(durations, n))
if acc + dur == now:
acc += dur
n += 1
break
elif acc + dur > now:
if event_after:
acc += dur
n += 1
break
else:
acc += dur
n += 1
# Store duration times
self.old_dur = self.attr['dur']
# Returns value for self.event_n and self.event_index
return n, acc
def rhythm(self):
# If a Pattern TimeVar
if isinstance(self.attr['dur'], TimeVar.Pvar):
r = asStream(self.attr['dur'].now().data)
# If duration is a TimeVar
elif isinstance(self.attr['dur'], TimeVar.var):
r = asStream(self.attr['dur'].now())
else:
r = asStream(self.attr['dur'])
# TODO: Make sure degree is a string
if self.synthdef is SamplePlayer:
try:
d = self.attr['degree'].now()
except:
d = self.attr['degree']
r = r * [(char.dur if hasattr(char, "dur") else 1)
for char in d.flat()]
return r
def update(self, synthdef, degree, **kwargs):
# SynthDef name
self.synthdef = synthdef
if self.isplaying is False:
self.reset() # <--
# If there is a designated solo player when updating, add this at next bar
if self.metro.solo.active() and self.metro.solo != self:
self.metro.schedule(
lambda *args, **kwargs: self.metro.solo.add(self),
self.metro.next_bar())
# Update the attribute values
special_cases = ["scale", "root", "dur"]
# Set the degree
if synthdef == SamplePlayer:
if type(degree) == str:
self.playstring = degree
else:
self.playstring = None
if degree is not None:
setattr(self, "degree", degree if len(degree) > 0 else " ")
elif degree is not None:
self.playstring = str(degree)
setattr(self, "degree", degree)
# Set special case attributes
self.scale = kwargs.get("scale", self.__class__.default_scale)
self.root = kwargs.get("root", self.__class__.default_root)
# If only duration is specified, set sustain to that value also
if "dur" in kwargs:
self.dur = kwargs['dur']
if "sus" not in kwargs and synthdef != SamplePlayer:
self.sus = self.attr['dur']
if synthdef is SamplePlayer: pass
# self.old_pattern_dur
# self.old_dur = self.attr['dur']
# Set any other attributes
for name, value in kwargs.items():
if name not in special_cases:
setattr(self, name, value)
# Calculate new position if not already playing
if self.isplaying is False:
# Add to clock
self.isplaying = True
self.stopping = False
next_bar = self.metro.next_bar()
self.event_n = 0
self.event_n, self.event_index = self.count(next_bar,
event_after=True)
self.metro.schedule(self, self.event_index)
return self
def dur_updated(self):
dur_updated = self.attr['dur'] != self.old_dur
if self.synthdef == SamplePlayer:
dur_updated = (self.pattern_rhythm_updated() or dur_updated)
return dur_updated
def step_duration(self):
return 0.5 if self.synthdef is SamplePlayer else 1
def pattern_rhythm_updated(self):
r = self.rhythm()
if self.old_pattern_dur != r:
self.old_pattern_dur = r
return True
return False
def char(self, other=None):
if other is not None:
try:
if type(other) == str and len(other) == 1: #char
return Samples.bufnum(self.now('buf')) == other
raise TypeError("Argument should be a one character string")
except:
return False
else:
try:
return Samples.bufnum(self.now('buf'))
except:
return None
def calculate_freq(self):
""" Uses the scale, octave, and degree to calculate the frequency values to send to SuperCollider """
# If the scale is frequency only, just return the degree
if self.scale == Scale.freq:
try:
return list(self.event['degree'])
except:
return [self.event['degree']]
now = {attr: self.event[attr] for attr in ('degree', 'oct')}
size = LCM(get_expanded_len(now['oct']),
get_expanded_len(now['degree']))
f = []
for i in range(size):
try:
midinum = midi(self.scale, group_modi(now['oct'], i),
group_modi(now['degree'], i), self.now('root'))
except Exception as e:
print e
WarningMsg(
"Invalid degree / octave arguments for frequency calculation, reset to default"
)
print now['degree'], modi(now['degree'], i)
raise
f.append(miditofreq(midinum))
return f
def f(self, *data):
""" adds value to frequency modifier """
self.fmod = tuple(data)
p = []
for val in self.attr['fmod']:
try:
pan = tuple((item / ((len(val) - 1) / 2.0)) - 1
for item in range(len(val)))
except:
pan = 0
p.append(pan)
self.pan = p
return self
# Methods affecting other players - every n times, do a random thing?
def stutter(self, n=2, **kwargs):
""" Plays the current note n-1 times. You can specify some keywords,
such as dur, sus, and rate. """
if self.metro.solo == self and n > 0:
dur = float(kwargs.get("dur", self.dur)) / int(n)
delay = 0
size = self.largest_attribute()
for stutter in range(1, n):
delay += dur
# Use a custom attr dict and specify the first delay to play "immediately"
sub = {
kw: modi(val, stutter - 1)
for kw, val in kwargs.items() + [("send_now", True)]
}
self.metro.schedule(func_delay(self.send, **sub),
self.event_index + delay)
return self
# --- Misc. Standard Object methods
def __int__(self):
return int(self.now('degree'))
def __float__(self):
return float(self.now('degree'))
def __add__(self, data):
""" Change the degree modifier stream """
self.modf['degree'] = asStream(data)
return self
def __sub__(self, data):
""" Change the degree modifier stream """
data = asStream(data)
data = [d * -1 for d in data]
self.modf['degree'] = data
return self
def __mul__(self, data):
""" Multiplying an instrument player multiplies each amp value by
the input, or circularly if the input is a list. The input is
stored here and calculated at the update stage """
if type(data) in (int, float):
data = [data]
self.modf['amp'] = asStream(data)
return self
def __div__(self, data):
if type(data) in (int, float):
data = [data]
self.modf['amp'] = [1.0 / d for d in data]
return self
# --- Data methods
def __iter__(self):
for _, value in self.event.items():
yield value
def number_of_layers(self):
""" Returns the deepest nested item in the event """
num = 1
for attr, value in self.event.items():
if isinstance(value, PGroup):
l = pattern_depth(value)
else:
l = 1
if l > num:
num = l
return num
def largest_attribute(self):
""" Returns the length of the largest nested tuple in the current event dict """
size = 1
values = []
for attr, value in self.event.items():
l = get_expanded_len(value)
if l > size:
size = l
return size
# --- Methods for preparing and sending OSC messages to SuperCollider
def now(self, attr="degree", x=0):
""" Calculates the values for each attr to send to the server at the current clock time """
modifier_event_n = self.event_n
attr_value = self.attr[attr]
# If we are referencing other players' values, make sure they're updated first
if isinstance(attr_value, PlayerKey):
if attr_value.parent in self.queue_block.objects(
) and attr_value.parent is not self:
self.queue_block.call(attr_value.parent, self)
else:
attr_value = modi(asStream(attr_value), self.event_n + x)
# If the item is a PGroup - make sure any generator values are forced into one type
if isinstance(attr_value, PGroup):
attr_value = attr_value.forced_values()
# If the attribute isn't in the modf dictionary, default to 0
modf_value = modi(self.modf[attr], modifier_event_n +
x) if attr in self.modf else 0
# Combine attribute and modifier values
if not (self.synthdef == SamplePlayer and attr == "degree"):
# Don't bother trying to add values to a play string...
try:
attr_value = attr_value + modf_value
except TypeError:
pass
return attr_value
def get_event(self):
""" Returns a dictionary of attr -> now values """
attributes = copy(self.attr)
prime_funcs = {}
# self.event = {}
for key in attributes:
value = self.event[key] = self.now(key)
if isinstance(value, PlayerKey):
value = value.now()
# Look for PGroupPrimes
if isinstance(value, PGroup):
if value.has_behaviour():
cls = value.__class__
name = cls.__name__
getaction = True
if name in prime_funcs:
if len(value) <= len(prime_funcs[name][1]):
getaction = False
if getaction:
prime_funcs[name] = [key, value, value.get_behaviour()]
# Make sure the object's dict uses PlayerKey instances
if key not in self.__dict__:
self.__dict__[key] = PlayerKey(value, parent=self)
elif not isinstance(self.__dict__[key], PlayerKey):
self.__dict__[key] = PlayerKey(value, parent=self)
else:
self.__dict__[key].update(value)
# Add largest PGroupPrime function
for name, func in prime_funcs.items():
prime_call = func[-1]
if prime_call is not None:
self.event = prime_call(self.event, func[0])
return self
def osc_message(self, index=0, **kwargs):
""" Creates an OSC packet to play a SynthDef in SuperCollider,
use kwargs to force values in the packet, e.g. pan=1 will force ['pan', 1] """
message = []
fx_dict = {}
# Calculate frequency / buffer number
if self.synthdef != SamplePlayer:
degree = group_modi(kwargs.get("degree", self.event["degree"]),
index)
octave = group_modi(kwargs.get("oct", self.event["oct"]), index)
root = group_modi(kwargs.get("root", self.event["root"]), index)
freq = miditofreq(
midi(kwargs.get("scale", self.scale), octave, degree, root))
message = ['freq', freq]
else:
degree = group_modi(kwargs.get("degree", self.event['degree']),
index)
sample = group_modi(kwargs.get("sample", self.event["sample"]),
index)
buf = int(Samples[str(degree)].bufnum(sample))
message = ['buf', buf]
attributes = self.attr.copy()
# Go through the attr dictionary and add kwargs
for key in attributes:
try:
# Don't use fx keywords or foxdot keywords
if key not in FxList.kwargs() and key not in self.keywords:
group_value = kwargs.get(key, self.event[key])
val = group_modi(group_value, index)
## DEBUG
if isinstance(val, (Pattern, PGroup)):
print "In osc_message:", key, group_value, self.event[
key], val
# Special case modulation
if key == "sus":
val = val * self.metro.beat_dur() * group_modi(
kwargs.get('blur', self.event['blur']), index)
elif key == "amp":
val = val * group_modi(
kwargs.get('amplify', self.event['amplify']),
index)
message += [key, val]
except KeyError as e:
WarningMsg("KeyError in function 'osc_message'", key, e)
# See if any fx_attributes
for key in self.fx_attributes:
if key in attributes:
# All effects use sustain to release nodes
fx_dict[key] = []
# Look for any other attributes require e.g. room and verb
for sub_key in FxList[key].args:
if sub_key in self.event:
if sub_key in message:
i = message.index(sub_key) + 1
val = message[i]
else:
try:
val = group_modi(
kwargs.get(sub_key, self.event[sub_key]),
index)
if isinstance(val, Pattern):
print sub_key, val
except TypeError as e:
val = 0
except KeyError as e:
del fx_dict[key]
break
# Don't send fx with zero values, unless it is a timevar or playerkey i.e. has a "now" attr
if val == 0 and not hasattr(val, 'now'):
del fx_dict[key]
break
else:
fx_dict[key] += [sub_key, val]
return message, fx_dict
def send(self, **kwargs):
""" Sends the current event data to SuperCollder.
Use kwargs to overide values in the """
size = self.largest_attribute() * pattern_depth(self.event.values())
banged = False
sent_messages = []
delayed_messages = []
freq = []
bufnum = []
last_msg = None
for i in range(size):
# Get the basic osc_msg
osc_msg, effects = self.osc_message(i, **kwargs)
if "freq" in osc_msg:
freq_value = osc_msg[osc_msg.index("freq") + 1]
if freq_value not in freq:
freq.append(freq_value)
# Look at delays and schedule events later if need be
try:
delay = float(
group_modi(kwargs.get('delay', self.event.get('delay', 0)),
i))
except:
print "delay is", self.event['delay']
if 'buf' in osc_msg:
buf = group_modi(
kwargs.get('buf', osc_msg[osc_msg.index('buf') + 1]), i)
else:
buf = 0
if buf not in bufnum:
bufnum.append(buf)
amp = group_modi(
kwargs.get('amp', osc_msg[osc_msg.index('amp') + 1]), i)
# Any messages with zero amps or 0 buf are not sent <- maybe change that for "now" classes
if (self.synthdef != SamplePlayer
and amp > 0) or (self.synthdef == SamplePlayer and buf > 0
and amp > 0):
synthdef = self.get_synth_name(buf)
if delay > 0:
if (delay, osc_msg, effects) not in delayed_messages:
# Schedule the note to play in the future & to update the playerkeys
self.metro.schedule(
send_delay(self, synthdef, osc_msg, effects),
self.event_index + float(delay))
delayed_messages.append((delay, osc_msg, effects))
if self.bang_kwargs:
self.metro.schedule(self.bang,
self.metro.now() + delay)
else:
# Don't send duplicate messages
if (osc_msg, effects) not in sent_messages:
# --- New way of sending messages all at once
compiled_msg = self.server.sendPlayerMessage(
synthdef,
osc_msg,
effects,
)
# -- We can specify to send immediately as opposed to all together at the end of the block
if kwargs.get("send_now", False):
# If send_now is True, then send is being called from somewhere else and so
# the the osc message is added to the immediate block
self.metro.current_block.osc_messages.append(
compiled_msg)
else:
self.queue_block.osc_messages.append(compiled_msg)
sent_messages.append((osc_msg, effects))
if not banged and self.bang_kwargs:
self.bang()
banged = True
# Store the last message so we can compare if delayed
last_msg = (osc_msg, effects)
self.freq = freq
self.buf = bufnum
return
def get_synth_name(self, buf=0):
if self.synthdef == SamplePlayer:
numChannels = Samples.getBuffer(buf).channels
if numChannels == 1:
synthdef = "play1"
else:
synthdef = "play2"
else:
synthdef = str(self.synthdef)
return synthdef
#: Methods for stop/starting players
def kill(self):
""" Removes this object from the Clock and resets itself"""
self.isplaying = False
self.repeat_events = {}
self.reset()
return
def stop(self, N=0):
""" Removes the player from the Tempo clock and changes its internal
playing state to False in N bars time
- When N is 0 it stops immediately"""
self.stopping = True
self.stop_point = self.metro.now()
if N > 0:
self.stop_point += self.metro.next_bar() + (
(N - 1) * self.metro.bar_length())
else:
self.kill()
return self
def pause(self):
self.isplaying = False
return self
def play(self):
self.isplaying = True
self.stopping = False
self.isAlive = True
self.__call__()
return self
def follow(self, lead=False):
""" Takes a Player object and then follows the notes """
if isinstance(lead, self.__class__):
self.degree = lead.degree
self.following = lead
else:
self.following = None
return self
def solo(self, arg=True):
if arg:
self.metro.solo.set(self)
else:
self.metro.solo.reset()
return self
def num_key_references(self):
""" Returns the number of 'references' for the
attr which references the most other players """
num = 0
for attr in self.attr.values():
if isinstance(attr, PlayerKey):
if attr.num_ref > num:
num = attr.num_ref
return num
def lshift(self, n=1):
self.event_n -= (n + 1)
return self
def rshift(self, n=1):
self.event_n += n
return self
def reverse(self):
""" Sets flag to reverse streams """
for attr in self.attr:
try:
self.attr[attr] = self.attr[attr].pivot(self.event_n)
except AttributeError:
pass
return self
def shuffle(self):
""" Shuffles the degree of a player. """
# If using a play string for the degree
if self.synthdef == SamplePlayer and self.playstring is not None:
# Shuffle the contents of playgroups among the whole string
new_play_string = PlayString(self.playstring).shuffle()
new_degree = Pattern(new_play_string).shuffle()
else:
new_degree = self.attr['degree'].shuffle()
self._replace_degree(new_degree)
return self
def mirror(self):
""" The degree pattern is reversed """
self._replace_degree(self.attr['degree'].mirror())
return self
def rotate(self, n=1):
""" Rotates the values in the degree by 'n' """
self._replace_degree(self.attr['degree'].rotate(n))
return self
def _replace_degree(self, new_degree):
# Update the GUI if possible
if self.widget:
if self.synthdef == SamplePlayer:
if self.playstring is not None:
# Replace old_string with new string (only works with plain string patterns)
new_string = new_degree.string()
self.widget.addTask(target=self.widget.replace,
args=(self.line_number,
self.playstring, new_string))
self.playstring = new_string
else:
# Replaces the degree pattern in the widget (experimental)
# self.widget.addTask(target=self.widget.replace_re, args=(self.line_number,), kwargs={'new':str(new_degree)})
self.playstring = str(new_degree)
setattr(self, 'degree', new_degree)
return
def multiply(self, n=2):
self.attr['degree'] = self.attr['degree'] * n
return self
def degrade(self, amount=0.5):
""" Sets the amp modifier to a random array of 0s and 1s
amount=0.5 weights the array to equal numbers """
if not self.degrading:
self.amp = Pwrand([0, 1], [1 - amount, amount])
self.degrading = True
else:
ones = int(self.amp.count(1) * amount)
zero = self.amp.count(0)
self.amp = Pshuf(Pstutter([1, 0], [ones, zero]))
return self
def changeSynth(self, list_of_synthdefs):
new_synth = choice(list_of_synthdefs)
if isinstance(new_synth, SynthDef):
new_synth = str(new_synth.name)
self.synthdef = new_synth
# TODO, change the >> name
return self
"""
Modifier Methods
----------------
Other modifiers for affecting the playback of Players
"""
def offbeat(self, dur=0.5):
""" Off sets the next event occurence """
self.attr['delay'] += (dur - self.offset)
self.offset = dur
return self
def strum(self, dur=0.025):
""" Adds a delay to a Synth Envelope """
x = self.largest_attribute()
if x > 1:
self.delay = asStream([tuple(a * dur for a in range(x))])
else:
self.delay = asStream(dur)
return self
def __repr__(self):
return "a '%s' Player Object" % self.synthdef
def info(self):
s = "Player Instance using '%s' \n\n" % self.synthdef
s += "ATTRIBUTES\n"
s += "----------\n\n"
for attr, val in self.attr.items():
s += "\t{}\t:{}\n".format(attr, val)
return s
def bang(self, **kwargs):
"""
Triggered when sendNote is called. Responsible for any
action to be triggered by a note being played. Default action
is underline the player
"""
if kwargs:
self.bang_kwargs = kwargs
elif self.bang_kwargs:
print self.bang_kwargs
bang = Bang(self, self.bang_kwargs)
return self
def TEST():
standard_tuning = (Note("E", 2), Note("A", 2), Note("D", 3), Note("G", 3),
Note("B", 3), Note("E", 4))
Gibson = Guitar(23, standard_tuning)
Ibanez = Guitar(25, standard_tuning)
Major = Scale("Major", (2, 2, 1, 2, 2, 2), 'three_notes')
Natural_minor = Scale("Natural Minor", (2, 1, 2, 2, 1, 2), 'three_notes')
c_major_scale = Major.get_scale_notes("C")
a_natural_minor_scale = Natural_minor.get_scale_notes("A")
print('Gibson:')
# for s in Gibson.strings:
# for note in s:
# print(note, end="")
# print("\n")
print('Gibson C major all notes:')
c_all = Gibson.get_all_scale_notes(c_major_scale)
for i in c_all:
print(i)
print('\n')
print('Gibson C major three notes per string:')
c_three = Gibson.get_three_notes(c_major_scale, 0)
for i in c_three:
print(i)
print('\n')
print('Gibson C major box pattern:')
c_five = Gibson.get_box_pattern(c_major_scale, 1)
for i in c_five:
print(i)
print('\n')
print('Gibson C major one string pattern:')
c_five = Gibson.get_one_string_pattern(c_major_scale, 1)
for i in c_five:
print(i)
print('\nIbanez:')
# for s in Ibanez.strings:
# for note in s:
# print(note, end="")
# print("\n")
print('Ibanez A natural minor all notes:')
c_all = Ibanez.get_all_scale_notes(a_natural_minor_scale)
for i in c_all:
print(i)
print('\n')
print('Ibanez A natural minor three notes per string:')
c_three = Ibanez.get_three_notes(a_natural_minor_scale, 0)
for i in c_three:
print(i)
print('\n')
print('Ibanez A natural minor box pattern:')
c_five = Ibanez.get_box_pattern(a_natural_minor_scale, 1)
for i in c_five:
print(i)
print('\n')
print('Ibanez A natural minor box pattern:')
c_five = Ibanez.get_one_string_pattern(a_natural_minor_scale, 3)
for i in c_five:
print(i)
class datalog:
def __init__(self, filename, Cport, Tport, Sport):
self.filename=filename
self.Cport = Cport
self.Tport = Tport
self.Sport = Sport
self.con = ConductivityProbe(Cport, 115200)
self.con.openC()
self.T = TemperatureProbes(Tport, 115200)
self.T.openC()
self.S = Scale(Sport, 19200)
self.S.openC()
f = open(self.filename, "w+")
f.write("Cond\tWeight\tHotIn\tHotOut\tColdIn\tColdOut\tMonth\tDay\tHour\tMinute\tSecond\n")
f.close()
print("Waiting for first second of minute...")
time = t.localtime(None).tm_sec
while(time != 0):
time = t.localtime(None).tm_sec
def getdata(self, printInterval, saveInterval, exitWeight):
month = []
day = []
hour = []
minute = []
second = []
cond = []
wt = []
temp = []
i = 0
m = float(0)
e = 0
dd = 0
n = 0
print("Cond", "Weight","HotIn", "HotOut", "ColdIn","ColdOut","Month","Day","Hour","Minute","Second",sep='\t')
d = datetime.date.today()
c = datetime.datetime.now()
h = c.hour
mi = c.minute
sec = c.second
dayy = d.day
mo = d.month
conn=self.con.line()
weight=self.S.line()
#print(type(weight))
temps=self.T.line()
print(conn, weight, temps, mo, dayy, h, mi, sec, sep='\t')
while (True):
#Get current date and time
d = datetime.date.today()
c = datetime.datetime.now()
h = c.hour
mi = c.minute
sec = c.second
dayy = d.day
mo = d.month
if (c.microsecond < 1000):
temp = self.S.line()
if (temp!= weight and temp!="" and temp!=None):
weight=temp
if (sec == 0) and (m % saveInterval == 0) and (c.microsecond < 1000):
conn=self.con.line()
temps=self.T.line()
print(conn, weight, temps, mo, dayy, h, mi, sec, sep='\t')
self.S.flushh()
f=open(self.filename, "a+")
f.write(str(conn) + "\t" + str(weight) + "\t" + temps + "\t" + str(mo) + "\t" + str(dayy) + "\t" + str(h) + "\t" + str(mi) + "\t" + str(sec) + "\n")
f.close()
n = n+1
self.S.flushh()
elif (sec == 0) and (m % printInterval == 0) and (c.microsecond < 1000):
conn=self.con.line()
temps=self.T.line()
print(conn, weight, temps, mo, dayy, h, mi, sec, sep='\t')
self.S.flushh()
self.con.flushh()
self.T.flushh()
else:
pass
if (sec == 0) and (c.microsecond < 100):
m = m+1
if (float(weight) >= float(exitWeight)):
conn=self.con.line()
temps=self.T.line()
print(conn, weight, temps, mo, dayy, h, mi, sec, sep='\t')
f=open(self.filename, "a+")
f.write(str(conn) + "\t" + str(weight) + "\t" + temps + "\t" + str(mo) + "\t" + str(dayy) + "\t" + str(h) + "\t" + str(mi) + "\t" + str(sec) + "\n")
f.close()
#self.finishup()
break
#! /bin/python3
import sys
import time as t
import datetime
from CProbe import ConductivityProbe
from TProbes import TemperatureProbes
from Scale import Scale
con = ConductivityProbe(1, 115200)
con.openC()
T = TemperatureProbes(0, 115200)
T.openC()
S = Scale(0, 19200)
S.openC()
printInterval = float(
input(
"What interval (in minutes) would you like the data to be printed? ")
)
saveInterval = float(
input(
"What interval (in minutes) would you like the data to be saved to a text file? "
))
exitWeight = str(
input("At what distillate weight would you like the program to end? "))
filename = str(input("What would you like the file name to be? ")) + ".csv"
f = open(filename, "w+")
print("Opened file")
class ResNetBlock(Subnet):
'''
On the main path, the first convolution block has (1x1) kernel, zero padding. The second
convolution block has (3x3) kernel, (1,1) padding and stride of 1. The third convolution
block has (1x1) kernel, zero padding and stride of 1. The skip path has either identity mapping
or a convolution block with (1x1) kernel and zero padding. The number of output channels is
the same as that of the third convolution block on the main path.
Parameters required:
'instanceName': name of the block
'skipMode': slect the operations on the skip path, 'conv' or 'identity'
'skipStride': stride of the convolution block on the skip path
'stride1': stride of the first convolution block on the main path
'outChannel1': number of output channel of the first convolution block on the main path
'outChannel2': number of output channel of the second convolution block on the main path
'outChannel3': number of output channel of the third convolution block on the main path
'activationType': activation function of the non-linear block, 'ReLU' or 'sigmoid'
'''
# 'conv' mode has a convolution block on the skip path. 'identity' mode is strict pass through.
skipModes = ['conv', 'identity']
def __init__(self, para):
Subnet.__init__(self, para)
self.layerList = []
self.fork = Fork2({'instanceName': para['instanceName'] + '_fork'})
self.layerList.append(self.fork)
self.skipMode = para['skipMode']
if self.skipMode == 'conv':
convPara4 = {
'instanceName': para['instanceName'] + '_skipConv1',
'padding': False,
'padShape': (0, 0),
'stride': para['skipStride'],
'outChannel': para['outChannel3'],
'kernelShape': (1, 1),
'bias': False
}
self.skipConv = Conv2D(convPara4)
self.skipNorm = Normalize(
{'instanceName': para['instanceName'] + '_skipNorm'})
self.skipScale = Scale(
{'instanceName': para['instanceName'] + '_skipScale'})
self.layerList.append(self.skipConv)
self.layerList.append(self.skipNorm)
self.layerList.append(self.skipScale)
convPara1 = {
'instanceName': para['instanceName'] + '_mainConv1',
'padding': False,
'padShape': (0, 0),
'stride': para['stride1'],
'outChannel': para['outChannel1'],
'kernelShape': (1, 1),
'bias': False
}
convPara2 = {
'instanceName': para['instanceName'] + '_mainConv2',
'padding': True,
'padShape': (1, 1),
'stride': 1,
'outChannel': para['outChannel2'],
'kernelShape': (3, 3),
'bias': False
}
convPara3 = {
'instanceName': para['instanceName'] + '_mainConv3',
'padding': False,
'padShape': (0, 0),
'stride': 1,
'outChannel': para['outChannel3'],
'kernelShape': (1, 1),
'bias': False
}
self.mainConv1 = Conv2D(convPara1)
self.mainNorm1 = Normalize(
{'instanceName': para['instanceName'] + '_mainNorm1'})
self.mainScale1 = Scale(
{'instanceName': para['instanceName'] + '_mainScale1'})
self.mainActivation1 = Activation({
'instanceName':
para['instanceName'] + '_mainReLU1',
'activationType':
para['activationType']
})
self.layerList.append(self.mainConv1)
self.layerList.append(self.mainNorm1)
self.layerList.append(self.mainScale1)
self.layerList.append(self.mainActivation1)
self.mainConv2 = Conv2D(convPara2)
self.mainNorm2 = Normalize(
{'instanceName': para['instanceName'] + '_mainNorm2'})
self.mainScale2 = Scale(
{'instanceName': para['instanceName'] + '_mainScale2'})
self.mainActivation2 = Activation({
'instanceName':
para['instanceName'] + '_mainReLU2',
'activationType':
para['activationType']
})
self.layerList.append(self.mainConv2)
self.layerList.append(self.mainNorm2)
self.layerList.append(self.mainScale2)
self.layerList.append(self.mainActivation2)
self.mainConv3 = Conv2D(convPara3)
self.mainNorm3 = Normalize(
{'instanceName': para['instanceName'] + '_mainNorm3'})
self.mainScale3 = Scale(
{'instanceName': para['instanceName'] + '_mainScale3'})
self.layerList.append(self.mainConv3)
self.layerList.append(self.mainNorm3)
self.layerList.append(self.mainScale3)
self.sum = Sum2({'instanceName': para['instanceName'] + '_sum'})
self.activation3 = Activation({
'instanceName': para['instanceName'] + '_outReLU3',
'activationType': para['activationType']
})
self.layerList.append(self.sum)
self.layerList.append(self.activation3)
self.bottomInterface = self.fork
self.topInterface = self.activation3
def stack(self, top, bottom):
self.top = top
self.bottom = bottom
if self.skipMode == 'conv':
self.fork.fork(self.skipConv, self.mainConv1, bottom)
self.skipConv.stack(self.skipNorm, self.fork.skip)
self.skipNorm.stack(self.skipScale, self.skipConv)
self.skipScale.stack(self.sum.skip, self.skipNorm)
else:
self.fork.fork(self.sum.skip, self.mainConv1, bottom)
# main path
self.mainConv1.stack(self.mainNorm1, self.fork.main)
self.mainNorm1.stack(self.mainScale1, self.mainConv1)
self.mainScale1.stack(self.mainActivation1, self.mainNorm1)
self.mainActivation1.stack(self.mainConv2, self.mainScale1)
self.mainConv2.stack(self.mainNorm2, self.mainActivation1)
self.mainNorm2.stack(self.mainScale2, self.mainConv2)
self.mainScale2.stack(self.mainActivation2, self.mainNorm2)
self.mainActivation2.stack(self.mainConv3, self.mainScale2)
self.mainConv3.stack(self.mainNorm3, self.mainActivation2)
self.mainNorm3.stack(self.mainScale3, self.mainConv3)
self.mainScale3.stack(self.sum.main, self.mainNorm3)
# sum
if self.skipMode == 'conv':
self.sum.sum(self.activation3, self.skipScale, self.mainScale3)
else:
self.sum.sum(self.activation3, self.fork.skip, self.mainScale3)
self.activation3.stack(top, self.sum)
class Player(Repeatable):
# Set private values
__vars = []
__init = False
# These are used by FoxDot
keywords = ('degree', 'oct', 'freq', 'dur', 'delay', 'blur', 'amplify',
'scale', 'bpm', 'sample')
# Base attributes
base_attributes = ('sus', 'fmod', 'vib', 'slide', 'slidefrom', 'pan',
'rate', 'amp', 'room', 'buf', 'bits')
play_attributes = ('scrub', 'cut')
fx_attributes = FxList.kwargs()
metro = None
server = None
# Tkinter Window
widget = None
default_scale = Scale.default()
default_root = Root.default()
def __init__(self):
# Inherit
Repeatable.__init__(self)
# General setup
self.synthdef = None
self.id = None
self.quantise = False
self.stopping = False
self.stop_point = 0
self.following = None
self.queue_block = None
self.playstring = ""
self.buf_delay = []
# Visual feedback information
self.envelope = None
self.line_number = None
self.whitespace = None
self.bang_kwargs = {}
# Modifiers
self.reversing = False
self.degrading = False
# Keeps track of which note to play etc
self.event_index = 0
self.event_n = 0
self.notes_played = 0
self.event = {}
# Used for checking clock updates
self.old_dur = None
self.old_pattern_dur = None
self.isplaying = False
self.isAlive = True
# These dicts contain the attribute and modifier values that are sent to SuperCollider
self.attr = {}
self.modf = {}
# Keyword arguments that are used internally
self.scale = None
self.offset = 0
# List the internal variables we don't want to send to SuperCollider
self.__vars = self.__dict__.keys()
self.__init = True
self.reset()
# Class methods
@classmethod
def Attributes(cls):
return cls.keywords + cls.base_attributes + cls.fx_attributes + cls.play_attributes
# Player Object Manipulation
def __rshift__(self, other):
""" The PlayerObject Method >> """
if isinstance(other, SynthDefProxy):
self.update(other.name, other.degree, **other.kwargs)
self + other.mod
for method, arguments in other.methods.items():
args, kwargs = arguments
getattr(self, method).__call__(*args, **kwargs)
return self
raise TypeError(
"{} is an innapropriate argument type for PlayerObject".format(
other))
return self
def __setattr__(self, name, value):
if self.__init:
# Force the data into a TimeVar or Pattern if the attribute is used with SuperCollider
if name not in self.__vars:
value = asStream(value) if not isinstance(
value, (PlayerKey, TimeVar.var)) else value
# Update the attribute dict
self.attr[name] = value
# Update the current event
self.event[name] = modi(value, self.event_index)
return
self.__dict__[name] = value
return
def __eq__(self, other):
return self is other
def __ne__(self, other):
return not self is other
# --- Startup methods
def reset(self):
# --- SuperCollider Keywords
# Left-Right panning (-1,1)
self.pan = 0
# Sustain and blur (aka legato)
self.sus = 1
# Amplitude
self.amp = 1
# Rate - varies between SynthDef
self.rate = 1
# Audio sample buffer number
self.buf = 0
# Reverb
self.verb = 0.25
self.room = 0.00
# Frequency modifier
self.fmod = 0
# Buffer
self.sample = 0
# --- FoxDot Keywords
# Duration of notes
self.dur = 0.5 if self.synthdef == SamplePlayer else 1
self.old_pattern_dur = self.old_dur = self.attr['dur']
self.delay = 0
# Degree of scale / Characters of samples
self.degree = " " if self.synthdef is SamplePlayer else 0
# Octave of the note
self.oct = 5
# Amplitude mod
self.amplify = 1
# Legato
self.blur = 1
# Tempo
self.bpm = None
# Frequency and modifier
self.freq = 0
# Offbeat delay
self.offset = 0
self.modf = dict([(key, [0]) for key in self.attr])
return self
# --- Update methods
def __call__(self, **kwargs):
# If stopping, kill the event
if self.stopping and self.metro.now() >= self.stop_point:
self.kill()
return
# If the duration has changed, work out where the internal markers should be
if self.dur_updated():
try:
self.event_n, self.event_index = self.count()
except TypeError:
print("TypeError: Innappropriate argument type for 'dur'")
self.old_dur = self.attr['dur']
# Get the current state
dur = 0
while True:
self.get_event()
# Set a 'None' to 0
if self.event['dur'] is None:
dur = 0
# If there are more than one dur (happens sometimes because of threading), only use first
elif hasattr(self.event['dur'], '__iter__'):
dur = float(self.event['dur'][0])
else:
# Normal duration
dur = float(self.event['dur'])
# Skip events with durations of 0
if dur == 0:
self.event_n += 1
else:
break
# Play the note
if self.metro.solo == self and kwargs.get(
'verbose', True) and type(self.event['dur']) != rest:
self.freq = 0 if self.synthdef == SamplePlayer else self.calculate_freq(
)
self.send()
# If using custom bpm
if self.event['bpm'] is not None:
try:
tempo_shift = float(self.metro.bpm) / float(self.event['bpm'])
except:
tempo_shift = 1
dur *= tempo_shift
# Schedule the next event
self.event_index = self.event_index + dur
self.metro.schedule(self, self.event_index, kwargs={})
# Change internal marker
self.event_n += 1 if not self.reversing else -1
self.notes_played += 1
return
def count(self, time=None):
# Count the events that should have taken place between 0 and now()
n = 0
acc = 0
dur = 0
now = time if time is not None else self.metro.now()
durations = self.rhythm()
total_dur = float(sum(durations))
if total_dur == 0:
WarningMsg("Player object has a total duration of 0. Set to 1")
self.dur = total_dur = durations = 1
acc = now - (now % total_dur)
try:
n = int(len(durations) * (acc / total_dur))
except TypeError as e:
WarningMsg(e)
self.stop()
return 0, 0
while True:
dur = float(modi(durations, n))
if acc + dur > now:
break
else:
acc += dur
n += 1
# Store duration times
self.old_dur = self.attr['dur']
# Returns value for self.event_n and self.event_index
self.notes_played = n
return n, acc
def update(self, synthdef, degree, **kwargs):
# SynthDef name
self.synthdef = synthdef
if self.isplaying is False:
self.reset()
# If there is a designated solo player when updating, add this at next bar
if self.metro.solo.active() and self.metro.solo != self:
self.metro.schedule(lambda: self.metro.solo.add(self),
self.metro.next_bar() - 0.001)
# Update the attribute values
special_cases = ["scale", "root", "dur"]
# Set the degree
if synthdef is SamplePlayer:
self.playstring = degree
setattr(self, "degree", degree if len(degree) > 0 else " ")
elif degree is not None:
self.playstring = str(degree)
setattr(self, "degree", degree)
# Set special case attributes
self.scale = kwargs.get("scale", self.__class__.default_scale)
self.root = kwargs.get("root", self.__class__.default_root)
# If only duration is specified, set sustain to that value also
if "dur" in kwargs:
self.dur = kwargs['dur']
if "sus" not in kwargs and synthdef != SamplePlayer:
self.sus = self.attr['dur']
if synthdef is SamplePlayer: pass
# self.old_pattern_dur
# self.old_dur = self.attr['dur']
# Set any other attributes
for name, value in kwargs.items():
if name not in special_cases:
setattr(self, name, value)
# Calculate new position if not already playing
if self.isplaying is False:
# Add to clock
self.isplaying = True
self.stopping = False
self.event_index = self.metro.next_bar()
self.event_n = 0
self.event_n, _ = self.count(self.event_index)
self.metro.schedule(self, self.event_index)
return self
def dur_updated(self):
dur_updated = self.attr['dur'] != self.old_dur
if self.synthdef == SamplePlayer:
dur_updated = (self.pattern_rhythm_updated() or dur_updated)
return dur_updated
def step_duration(self):
return 0.5 if self.synthdef is SamplePlayer else 1
def rhythm(self):
# If a Pattern TimeVar
if isinstance(self.attr['dur'], TimeVar.Pvar):
r = asStream(self.attr['dur'].now().data)
# If duration is a TimeVar
elif isinstance(self.attr['dur'], TimeVar.var):
r = asStream(self.attr['dur'].now())
else:
r = asStream(self.attr['dur'])
# TODO: Make sure degree is a string
if self.synthdef is SamplePlayer:
try:
d = self.attr['degree'].now()
except:
d = self.attr['degree']
r = r * [(char.dur if hasattr(char, "dur") else 1)
for char in d.flat()]
return r
def pattern_rhythm_updated(self):
r = self.rhythm()
if self.old_pattern_dur != r:
self.old_pattern_dur = r
return True
return False
def char(self, other=None):
if other is not None:
try:
if type(other) == str and len(other) == 1: #char
return BufferManager.bufnum(self.now('buf')) == other
raise TypeError("Argument should be a one character string")
except:
return False
else:
try:
return BufferManager.bufnum(self.now('buf'))
except:
return None
def calculate_freq(self):
""" Uses the scale, octave, and degree to calculate the frequency values to send to SuperCollider """
# If the scale is frequency only, just return the degree
if self.scale == Scale.freq:
try:
return list(self.event['degree'])
except:
return [self.event['degree']]
now = {}
for attr in ('degree', 'oct'):
now[attr] = self.event[attr]
try:
now[attr] = list(now[attr])
except:
now[attr] = [now[attr]]
size = max(len(now['oct']), len(now['degree']))
f = []
for i in range(size):
try:
midinum = midi(self.scale, modi(now['oct'], i),
modi(now['degree'], i), self.now('root'))
except:
WarningMsg(
"Invalid degree / octave arguments for frequency calculation, reset to default"
)
print now['degree'], modi(now['degree'], i)
raise
f.append(miditofreq(midinum))
return f
def f(self, *data):
""" adds value to frequency modifier """
self.fmod = tuple(data)
p = []
for val in self.attr['fmod']:
try:
pan = tuple((item / ((len(val) - 1) / 2.0)) - 1
for item in range(len(val)))
except:
pan = 0
p.append(pan)
self.pan = p
return self
# Methods affecting other players - every n times, do a random thing?
def stutter(self, n=2, **kwargs):
""" Plays the current note n-1 times. You can specify some keywords,
such as dur, sus, and rate. """
if self.metro.solo == self and n > 0:
dur = float(kwargs.get("dur", self.dur)) / int(n)
delay = 0
for stutter in range(1, n):
delay += dur
sub = {
kw: modi(val, stutter - 1)
for kw, val in kwargs.items()
}
self.metro.schedule(func_delay(self.send, **sub),
self.event_index + delay)
return self
# --- Misc. Standard Object methods
def __int__(self):
return int(self.now('degree'))
def __float__(self):
return float(self.now('degree'))
def __add__(self, data):
""" Change the degree modifier stream """
self.modf['degree'] = asStream(data)
return self
def __sub__(self, data):
""" Change the degree modifier stream """
data = asStream(data)
data = [d * -1 for d in data]
self.modf['degree'] = data
return self
def __mul__(self, data):
""" Multiplying an instrument player multiplies each amp value by
the input, or circularly if the input is a list. The input is
stored here and calculated at the update stage """
if type(data) in (int, float):
data = [data]
self.modf['amp'] = asStream(data)
return self
def __div__(self, data):
if type(data) in (int, float):
data = [data]
self.modf['amp'] = [1.0 / d for d in data]
return self
# --- Data methods
def largest_attribute(self):
""" Returns the length of the largest nested tuple in the attr dict """
# exclude = 'degree' if self.synthdef is SamplePlayer else None
exclude = None
size = len(self.attr['freq'])
for attr, value in self.event.items():
if attr != exclude:
try:
l = len(value)
if l > size:
size = l
except:
pass
return size
# --- Methods for preparing and sending OSC messages to SuperCollider
def now(self, attr="degree", x=0):
""" Calculates the values for each attr to send to the server at the current clock time """
modifier_event_n = self.event_n
attr_value = self.attr[attr]
attr_value = modi(asStream(attr_value), self.event_n + x)
## If this player is following another, update that player first
if attr == "degree" and self.following != None:
if self.following in self.queue_block.objects():
self.queue_block.call(self.following, self)
# If the attribute isn't in the modf dictionary, default to 0
try:
modf_value = modi(self.modf[attr], modifier_event_n + x)
except:
modf_value = 0
# If any values are time-dependant, get the now values
try:
attr_value = attr_value.now()
except:
pass
try:
modf_value = modf_value.now()
except:
pass
# Combine attribute and modifier values
try:
## if attr == "dur" and type(attr_value) == rest:
##
## value = rest(attr_value + modf_value)
##
## else:
value = attr_value + modf_value
except:
value = attr_value
return value
def get_event(self):
""" Returns a dictionary of attr -> now values """
# Get the current event
self.event = {}
attributes = copy(self.attr)
for key in attributes:
# Eg. sp.sus returns the currently used value for sustain
self.event[key] = self.now(key)
# Make sure the object's dict uses PlayerKey instances
if key not in self.__dict__:
self.__dict__[key] = PlayerKey(self.event[key])
elif not isinstance(self.__dict__[key], PlayerKey):
self.__dict__[key] = PlayerKey(self.event[key])
else:
self.__dict__[key].update(self.event[key])
# Special case: sample player
if self.synthdef == SamplePlayer:
try:
event_dur = self.event['dur']
if isinstance(self.event['degree'], PlayGroup):
buf_list = ((0, self.event['degree']), )
event_buf = [0]
else:
buf_list = enumerate(self.event['degree'])
event_buf = list(range(len(self.event['degree'])))
self.buf_delay = []
for i, bufchar in buf_list:
if isinstance(bufchar, PlayGroup):
char = BufferManager[bufchar[0]]
# Get the buffer number to play
buf_mod_index = modi(self.event['sample'], i)
event_buf[i] = char.bufnum(buf_mod_index).bufnum
delay = 0
for n, b in enumerate(bufchar[1:]):
if hasattr(b, 'now'):
b = b.now()
char = BufferManager[b]
buf_mod_index = modi(self.event['sample'], i)
delay += (bufchar[n].dur * self.event['dur'])
self.buf_delay.append(
(char.bufnum(buf_mod_index), delay))
else:
char = BufferManager[bufchar]
# Get the buffer number to play
buf_mod_index = modi(self.event['sample'], i)
event_buf[i] = char.bufnum(buf_mod_index).bufnum
self.event['buf'] = P(event_buf)
except TypeError:
pass
return self
def osc_message(self, index=0, **kwargs):
""" NEW: Creates an OSC packet to play a SynthDef in SuperCollider,
use kwargs to force values in the packet, e.g. pan=1 will force ['pan', 1] """
freq = float(modi(self.attr['freq'], index))
message = ['freq', freq]
fx_dict = {}
attributes = self.attr.copy()
# Go through the attr dictionary and add kwargs
for key in attributes:
try:
# Don't use fx keywords or foxdot keywords
if key not in FxList.kwargs() and key not in self.keywords:
val = modi(kwargs.get(key, self.event[key]), index)
# Special case modulation
if key == "sus":
val = val * self.metro.beat() * modi(
kwargs.get('blur', self.event['blur']), index)
elif key == "amp":
val = val * modi(
kwargs.get('amplify', self.event['amplify']),
index)
message += [key, float(val)]
except:
pass
# See if any fx_attributes
for key in self.fx_attributes:
if key in attributes:
# All effects use sustain to release nodes
fx_dict[key] = []
# Look for any other attributes require e.g. room and verb
for sub_key in FxList[key].args:
if sub_key in self.event:
if sub_key in message:
i = message.index(sub_key)
val = float(message[i + 1])
else:
try:
val = float(
modi(
kwargs.get(sub_key,
self.event[sub_key]),
index))
except TypeError as e:
# If we get None, there was an error, set the value to 0
val = 0
# Don't send fx with zero values
if val == 0:
del fx_dict[key]
break
else:
fx_dict[key] += [sub_key, val]
return message, fx_dict
def send(self, **kwargs):
""" Sends the current event data to SuperCollder.
Use kwargs to overide values in the """
size = self.largest_attribute()
banged = False
sent_messages = []
delayed_messages = []
for i in range(size):
osc_msg, effects = self.osc_message(i, **kwargs)
delay = modi(kwargs.get('delay', self.event['delay']), i)
buf = modi(kwargs.get('buf', self.event['buf']), i)
amp = osc_msg[osc_msg.index('amp') + 1]
# Any messages with zero amps or 0 buf are not sent
if (self.synthdef != SamplePlayer
and amp > 0) or (self.synthdef == SamplePlayer and buf > 0
and amp > 0):
if self.synthdef == SamplePlayer:
numChannels = BufferManager.getBuffer(buf).channels
if numChannels == 1:
synthdef = "play1"
else:
synthdef = "play2"
else:
synthdef = str(self.synthdef)
if delay > 0:
# Sometimes there are race conditions, so make sure delay is just one value
while hasattr(delay, "__len__"):
delay = delay[i]
if (delay, osc_msg, effects) not in delayed_messages:
self.metro.schedule(
send_delay(self, synthdef, osc_msg, effects),
self.event_index + delay)
delayed_messages.append((delay, osc_msg, effects))
if self.bang_kwargs:
self.metro.schedule(self.bang,
self.metro.now() + delay)
else:
# Don't send duplicate messages
if (osc_msg, effects) not in sent_messages:
self.server.sendPlayerMessage(synthdef, osc_msg,
effects)
sent_messages.append((osc_msg, effects))
if not banged and self.bang_kwargs:
self.bang()
banged = True
if self.buf_delay:
for buf_num, buf_delay in self.buf_delay:
# Only send messages with amps > 0
i = osc_msg.index('amp') + 1
if osc_msg[i] > 0:
# Make sure we use an integer number
buf_num = int(buf_num)
if buf_num > 0:
i = osc_msg.index('buf') + 1
osc_msg[i] = buf_num
numChannels = BufferManager.getBuffer(
buf_num).channels
if numChannels == 1:
synthdef = "play1"
else:
synthdef = "play2"
if (buf_delay + delay, osc_msg,
effects) not in delayed_messages:
self.metro.schedule(
send_delay(self, synthdef, osc_msg,
effects),
self.event_index + buf_delay + delay)
delayed_messages.append(
(buf_delay + delay, osc_msg, effects))
return
#: Methods for stop/starting players
def kill(self):
""" Removes this object from the Clock and resets itself"""
self.isplaying = False
self.repeat_events = {}
self.reset()
return
def stop(self, N=0):
""" Removes the player from the Tempo clock and changes its internal
playing state to False in N bars time
- When N is 0 it stops immediately"""
self.stopping = True
self.stop_point = self.metro.now()
if N > 0:
self.stop_point += self.metro.next_bar() + (
(N - 1) * self.metro.bar_length())
else:
self.kill()
return self
def pause(self):
self.isplaying = False
return self
def play(self):
self.isplaying = True
self.stopping = False
self.isAlive = True
self.__call__()
return self
def follow(self, lead, follow=True):
""" Takes a now object and then follows the notes """
self.degree = lead.degree
self.following = lead
return self
def solo(self, arg=True):
if arg:
self.metro.solo.set(self)
else:
self.metro.solo.reset()
return self
def num_key_references(self):
""" Returns the number of 'references' for the
attr which references the most other players """
num = 0
for attr in self.attr.values():
if isinstance(attr, PlayerKey):
if attr.num_ref > num:
num = attr.num_ref
return num
"""
State-Shift Methods
--------------
These methods are used in conjunction with Patterns.Feeders functions.
They change the state of the Player Object and return the object.
See 'Player.Feeders' for more info on how to use
"""
def lshift(self, n=1):
self.event_n -= (n + 1)
return self
def rshift(self, n=1):
self.event_n += n
return self
def reverse(self):
""" Sets flag to reverse streams """
self.reversing = not self.reversing
if self.reversing:
self.event_n -= 1
else:
self.event_n += 1
return self
def shuffle(self):
""" Shuffles the degree of a player. If possible, do it visually """
if self.synthdef == SamplePlayer:
self._replace_string(PlayString(self.playstring).shuffle())
else:
self._replace_degree(self.attr['degree'].shuffle())
return self
def mirror(self):
if self.synthdef == SamplePlayer:
self._replace_string(PlayString(self.playstring).mirror())
else:
self._replace_degree(self.attr['degree'].mirror())
return self
def rotate(self, n=1):
if self.synthdef == SamplePlayer:
self._replace_string(PlayString(self.playstring).rotate(n))
else:
self._replace_degree(self.attr['degree'].rotate(n))
return self
def _replace_string(self, new_string):
# Update the GUI if possible
if self.widget:
# Replace old_string with new string
self.widget.addTask(target=self.widget.replace,
args=(self.line_number, self.playstring,
new_string))
self.playstring = new_string
setattr(self, 'degree', new_string)
return
def _replace_degree(self, new_degree):
# Update the GUI if possible
if self.widget:
# Replace old_string with new string
self.widget.addTask(target=self.widget.replace_re,
args=(self.line_number, ),
kwargs={'new': str(new_degree)})
self.playstring = str(new_degree)
setattr(self, 'degree', new_degree)
return
def multiply(self, n=2):
self.attr['degree'] = self.attr['degree'] * n
return self
def degrade(self, amount=0.5):
""" Sets the amp modifier to a random array of 0s and 1s
amount=0.5 weights the array to equal numbers """
if not self.degrading:
self.amp = Pwrand([0, 1], [1 - amount, amount])
self.degrading = True
else:
ones = int(self.amp.count(1) * amount)
zero = self.amp.count(0)
self.amp = Pshuf(Pstutter([1, 0], [ones, zero]))
return self
def changeSynth(self, list_of_synthdefs):
new_synth = choice(list_of_synthdefs)
if isinstance(new_synth, SynthDef):
new_synth = str(new_synth.name)
self.synthdef = new_synth
# TODO, change the >> name
return self
"""
Modifier Methods
----------------
Other modifiers for affecting the playback of Players
"""
def offbeat(self, dur=0.5):
""" Off sets the next event occurence """
self.attr['delay'] += (dur - self.offset)
self.offset = dur
return self
def strum(self, dur=0.025):
""" Adds a delay to a Synth Envelope """
x = self.largest_attribute()
if x > 1:
self.delay = asStream([tuple(a * dur for a in range(x))])
else:
self.delay = asStream(dur)
return self
def __repr__(self):
return "a '%s' Player Object" % self.synthdef
def info(self):
s = "Player Instance using '%s' \n\n" % self.synthdef
s += "ATTRIBUTES\n"
s += "----------\n\n"
for attr, val in self.attr.items():
s += "\t{}\t:{}\n".format(attr, val)
return s
def bang(self, **kwargs):
"""
Triggered when sendNote is called. Responsible for any
action to be triggered by a note being played. Default action
is underline the player
"""
if kwargs:
self.bang_kwargs = kwargs
elif self.bang_kwargs:
print self.bang_kwargs
bang = Bang(self, self.bang_kwargs)
return self
from Scale import Scale
import time
from random import randint
from threading import Thread
from pythonosc import udp_client
from pythonosc import osc_message_builder
from pythonosc import osc_server
from pythonosc import dispatcher
client = udp_client.UDPClient("127.0.0.1", 8103)
scale = Scale()
timer = time.time()
calibrationStarted = False
def parseLightChange(index, r, g, b):
scale.changeColor(index, [r, g, b])
dispatcher = dispatcher.Dispatcher()
dispatcher.map("/changeLight", parseLightChange)
server = osc_server.ThreadingOSCUDPServer(("127.0.0.1", 8102), dispatcher)
print("ready to serve")
serverThread = Thread(target = server.serve_forever)
print("readier")
serverThread.daemon = True
serverThread.start()
import RPi.GPIO as GPIO
def generate_image_name():
return "{}.png".format(datetime.now().isoformat())
# logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.DEBUG)
display = Display()
print("[0/2] Starting setup...")
display.print("[0/2] Setup\n\rstarted")
file_upload = FileUpload()
snipe_it = SnipeIT()
reader = Scanner()
scale = Scale()
print("[0/2] Taring the scale. Remove everything and press Enter.")
_ = input()
print("[0/2] Taring the scale...")
scale.tare()
print("[1/2] Scale taring complete.")
# initialize the video stream and allow the camera sensor to warm up
print("[1/2] Starting video stream...")
camera = Camera()
print("[2/2] Video stream started...")
print("[2/2] Setup complete")
display.print("[2/2] Setup\n\rcomplete")
try:
class Dosificadora:
def __init__(self):
#Crear el objeto de la clase dosificadora
##Convenciones: axxxx: a significa atributo
#Con-> Concentrado
#Min-> Mineral
#Lev-> Levadura
#Puertos de control para las valvulas
self.avTolva = 2
self.avMineral = 16
self.avLevadura = 27
#Puertos de asignacion de las celdas de carga
self.alsensorC1 = (11, 9) #Formato tupla: (dt,sck)
self.alsensorC2 = (22, 10)
self.alsensorC3 = (24, 23)
self.alsensorC4 = (12, 6)
self.alsensorML = (19, 13)
#Puertos control de motores
self.amCon = (7, 8) #Formato tupla: (Encendido, velocidad)
self.amMin = (20, 21) #Formato tupla: (velocidad, sentido)
self.amLev = (25, 26)
#Sensibilidades celdas de carga
self.asMin = 1030.3320
self.asLev = 2563.3821
self.asC1 = 1
self.asC2 = 1
self.asC3 = 1
self.asC4 = 1
self.asConc = 53.2201
#Valores de Tara para cada celda de carga
self.asZeroMin = 0
self.asZeroLev = 0
self.asZeroC1 = 0
self.asZeroC2 = 0
self.asZeroC3 = 0
self.asZeroC4 = 0
#Masas objetivo
self.aConObj = 1
self.aMinObj = 1
self.aLevObj = 1
self.aMasaObj = [self.aConObj, self.aMinObj, self.aLevObj]
#Parametros del filtro tamizador y media movil
self.aPeso_kbuffer = [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0,
0.0]] #Formato lista [Con,Min,Lev]
self.aSk = [0.0, 0.0, 0.0] #Formato listas [Con,Min,Lev]
self.aContador = [0, 0, 0]
self.aDato_k_1 = [0.0, 0.0, 0.0]
self.aX_k_1 = [0.0, 0.0, 0.0]
self.aPeso_kbuffer = np.zeros((3, 20), dtype=np.float32)
#Valores para algoritmo de control
self.aMultiplo = [0.8, 0.8, 0.8] #Formato listas [Con,Min,Lev]
self.aDeltaRef = [0.0, 0.0, 0.0]
self.aInt = [0.0, 0.0, 0.0]
self.aKp = [0.00051743, 0.0051743, 0.0]
self.aKi = [0.0, 0.0, 0.0]
self.aKd = [0.00080848, 0.0080848, 0.0]
self.aN = [0.3704, 0.0, 0.3704]
self.aVk_1 = 0.0
self.aEk_1 = 0.0
self.aYk_1 = 0.0
self.aDk_1 = 0.0
self.aUk_1 = 0
self.aRk_1 = 0
self.aInt_Retardo = 0
self.aTcontador = 0
self.aDoCalcularKp = [True, True, True]
self.aPWM = [0.0, 0.0, 0.0]
self.aAceleracion = [300.0, 0.0, 0.0]
#Otros atributos
self.asText = "________________" #Separador de Textos
self.minCon = 39.0 #Menor ciclo de PWM permitido para el concentrado
self.maxCon = 99.0 #Mayor ciclo de PWM permitido para el concentrado
self.razon = [
60.0, 50.0, 10.0
] #Mayor tasa de cambio permitida por el filtro tamizador
#Formato lista [Con,Min,Lev]
self.aConCrucero = 70.0 #Velocidad crucero motor Con
self.aConMin = 60.0 #Minima velocidad para mover el motor
self.aEspacio = "_________________"
def __del__(self):
#Metodo destructor de objeto
nombre = self.__class__.__name__
print(nombre, "Destruido")
def inicializarPuertos(self):
#Encargado de iniciar el estado de los puertos de RPi.
print("\n________________\nIniciando puertos\n________________\n")
#Configurar puertos
#Valvulas
GPIO.setup(self.avTolva, GPIO.OUT)
GPIO.setup(self.avMineral, GPIO.OUT)
GPIO.setup(self.avLevadura, GPIO.OUT)
#Motores
#Concentrado
GPIO.setup(self.amCon[0], GPIO.OUT)
GPIO.setup(self.amCon[1], GPIO.OUT)
#Mineral
GPIO.setup(self.amMin[0], GPIO.OUT)
GPIO.setup(self.amLev[0], GPIO.OUT)
#Levadura
GPIO.setup(self.amMin[1], GPIO.OUT)
GPIO.setup(self.amLev[1], GPIO.OUT)
#Colocar todos los puertos en BAJO "LOW".
GPIO.output(self.avTolva, 0)
GPIO.output(self.avMineral, 0)
GPIO.output(self.avLevadura, 0)
GPIO.output(self.amCon[0], 0)
GPIO.output(self.amCon[1], 0)
GPIO.output(self.amMin[0], 0)
GPIO.output(self.amMin[1], 0)
GPIO.output(self.amLev[0], 0)
GPIO.output(self.amLev[1], 0)
def inicializarMotores(self):
#Iniciar el estado de los motores
#Frecuencia de PWM
self.amMinPWM = GPIO.PWM(self.amMin[0],
300) #Formato tupla: (velocidad, sentido)
self.amLevPWM = GPIO.PWM(self.amLev[0],
300) #Formato tupla: (velocidad, sentido)
self.amConPWM = GPIO.PWM(self.amCon[1], 250)
##Iniciar PWM en valor 0
self.amMinPWM.start(0)
self.amLevPWM.start(0)
self.amConPWM.start(0)
def inicializarCeldas(self):
#Inciar celdas de carga
print(
"\n________________\nIniciando celdas de carga\n________________\n"
)
#Formato tupla: self.alsensorA = (dt,sck)
#Celda de carga Concentrado C1
self.ahxC1 = Scale(self.alsensorC1[0], self.alsensorC1[1], 1, 80)
#Celda de carga Concentrado C2
self.ahxC2 = Scale(self.alsensorC2[0], self.alsensorC2[1], 1, 80)
#Celda de carga Concentrado C3
self.ahxC3 = Scale(self.alsensorC3[0], self.alsensorC3[1], 1, 80)
#Celda de carga Concentrado C4
self.ahxC4 = Scale(self.alsensorC4[0], self.alsensorC4[1], 1, 80)
#Celda de carga Levadura Mineral
self.ahxML = Scale(self.alsensorML[0], self.alsensorML[1], 1, 80)
self.resetearCeldas()
def encenderMotores(self, motor):
#Metodo que activa los motores
#Entrada: self-> Objeto propio de python
# motor-> Selector del motor:
# Con: Concentrado, Min: mineral Lev: levadura
if (motor == 'Con'):
if self.aConObj != 0:
#Encendido motor Con
velocidad = 99 #self.aConCrucero
self.amConPWM.ChangeDutyCycle(velocidad)
GPIO.output(self.amCon[0], 1)
else:
print("Masa es 0, concentrado no encendido")
return
if (motor == 'Min'):
if self.aMinObj != 0:
self.amMinPWM.ChangeFrequency(750)
self.amMinPWM.ChangeDutyCycle(50)
else:
print("Masa igual a 0, mineral no encendido")
return
if (motor == 'Lev'):
if self.aLevObj != 0:
self.amLevPWM.ChangeFrequency(750)
self.amLevPWM.ChangeDutyCycle(50)
else:
print("Masa igual a 0, levadura no encendido")
return
else:
print("Motor no encontrado")
def desacelerarMotores(self, motor):
#Metodo que desacelera los motores
if (motor == 'Con'):
velocidad = self.aConMin
self.amConPWM.ChangeDutyCycle(velocidad)
return
if (motor == 'Min'):
self.amMinPWM.ChangeFrequency(200)
self.amMinPWM.ChangeDutyCycle(50)
return
if (motor == 'Lev'):
self.amLevPWM.ChangeFrequency(200)
self.amLevPWM.ChangeDutyCycle(50)
return
else:
print("Motor no encontrado")
return
def apagarMotores(self, motor, condicion):
#Detener motores
#Entradas: motor: Seleccion del motor deseado
# Con -> Concentrado
# Min -> Mineral
# Lev -> Levadura
# Condicion: Indica si el motor no fue apagado en la iteracion anterior
if (motor == 'Con'):
GPIO.output(self.amCon[0], 0)
self.amConPWM.stop()
if condicion:
print("Concentrado apagado")
return
if (motor == 'Min'):
self.amMinPWM.ChangeFrequency(50)
self.amMinPWM.ChangeDutyCycle(0)
if condicion:
print("Mineral apagado")
return
if (motor == 'Lev'):
self.amLevPWM.ChangeFrequency(50)
self.amLevPWM.ChangeDutyCycle(0)
if condicion:
print("Levadura apagado")
return
else:
print("Motor no encontrado")
return
def abrirCerrarValvulas(self, valvula, condicion):
#Metodo de abrir y cerrar valvulas
#Entradas: valvula:
# Tolv -> Puerta de la tolva Romana
# Min -> Compuerta del mineral
# Lev -> Compuerta levadura
# condicion:
# 0 -> Valvula cerrada
# 1 -> Valvula abierta
if (valvula == 'Tolv'):
GPIO.output(self.avTolva, condicion)
return
if (valvula == 'Min'):
GPIO.output(self.avMineral, condicion)
return
if (valvula == 'Lev'):
GPIO.output(self.avLevadura, condicion)
return
else:
print("Valvula incorrecta")
def cambiarSensibilidad(self, celda, sensibilidad):
#Metodo para cambiar la sensibilidad de la celda de carga: (depuracion)
#Formato de celda: 'Min','Lev','A','B'
#Entradas: celda: A1, A2, B1, B2, Min, Lev
print("Cambiando sensibilidad")
if (celda == 'A1'):
self.asA1 = sensibilidad
self.axA.select_channel(channel='A')
self.axA.set_scale_ratio(sensibilidad)
return
if (celda == 'A2'):
self.asA2 = sensibilidad
self.axA.select_channel(channel='B')
self.axA.set_scale_ratio(sensibilidad)
return
if (celda == 'B1'):
self.asB1 = sensibilidad
self.axB.select_channel(channel='A')
self.axB.set_scale_ratio(sensibilidad)
return
if (celda == 'B2'):
self.asB2 = sensibilidad
self.axB.select_channel(channel='B')
self.axB.set_scale_ratio(sensibilidad)
return
if (celda == 'Min'):
self.asMin = sensibilidad
self.axML.select_channel(channel='A')
self.axML.set_scale_ratio(sensibilidad)
return
if (celda == 'Lev'):
self.asLev = sensibilidad
self.axML.select_channel(channel='A')
self.axML.set_scale_ratio(sensibilidad)
return
else:
print("Celda no encontrada")
def leerMineral(self, lecturas):
#Leer el peso del mineral en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
mineral = 0.0
for i in range(lecturas):
masaMin = -(
(self.ahxML.weighOnce()) - self.asZeroMin) #/self.asMin
mineral += masaMin
mineral / lecturas
return mineral
def leerLevadura(self, lecturas):
#Leer el peso del mineral en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
masaLev = (self.ahxML.weighOnce() - self.asZeroLev) / self.asLev
return masaLev
def leerConcentrado(self, lecturas):
#Leer el peso del concentrado en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de promediar y devolver
concentrado = 0.0
for i in range(lecturas):
Conc1 = self.ahxC1.weighOnce() - self.asZeroC1
Conc2 = self.ahxC2.weighOnce() - self.asZeroC2
Conc3 = self.ahxC3.weighOnce() - self.asZeroC3
Conc4 = -(self.ahxC4.weighOnce() - self.asZeroC4)
Conc = (Conc1 + Conc2 + Conc3 + Conc4) / (4 * self.asConc)
concentrado += Conc
concentrado = concentrado / lecturas
return float(concentrado)
def cerrarSteppers(self):
#Metodo para apagar puertos de velocidad de los motores
self.amMinPWM.stop()
self.amLevPWM.stop()
self.amConPWM.stop()
def leer4Concentrado(self):
#Metodo para leer por separado cada celda de carga del concentrado (depuracion)
Conc1 = self.ahxC1.weighOnce() - self.asZeroC1
Conc2 = self.ahxC2.weighOnce() - self.asZeroC2
Conc3 = self.ahxC3.weighOnce() - self.asZeroC3
Conc4 = -(self.ahxC4.weighOnce() - self.asZeroC4)
print("%d\t%d\t%d\t%d" % (Conc1, Conc2, Conc3, Conc4))
def leer4ConcentradoRaw(self, lecturas):
#Metodo para leer cada celda del concentrado sin restar tara (depuracion)
Conc1 = self.ahxC1.weighOnce()
Conc2 = self.ahxC2.weighOnce()
Conc3 = self.ahxC3.weighOnce()
Conc4 = self.ahxC4.weighOnce()
print("%d\t%d\t%d\t%d" % (Conc1, Conc2, Conc3, Conc4))
def tararConcentrado(self, imprimir=False, lecturas=30):
#Metodo para tarar los amplificadores del concentrado
if imprimir:
print("Tarando")
self.asZeroC1 = self.ahxC1.weigh(lecturas)
self.asZeroC2 = self.ahxC2.weigh(lecturas)
self.asZeroC3 = self.ahxC3.weigh(lecturas)
self.asZeroC4 = self.ahxC4.weigh(lecturas)
if imprimir:
print("Tara del concentrado\n%d\t%d\t%d\t%d\t" %
(self.asZeroC1, self.asZeroC2, self.asZeroC3, self.asZeroC4))
def tararMineral(self, printVal=False, lecturas=30):
#Metodo para tarar mineral
self.asZeroMin = self.ahxML.weigh(lecturas)
if printVal:
print("\tTara del mineral %d" % (self.asZeroMin))
def tararLevadura(self, printVal=False, lecturas=30):
#Metodo para tarar levdura
self.asZeroMin = self.ahxML.weigh(lecturas)
if printVal:
print("\tTara de la levadura %d" % (self.asZeroMin))
def filtradorTamizador(self, dato, alimento, periodos=5):
#Metodo para filtrar y tamizar los valores de las celdas de carga
#Se aplica un filtro de media movil con tres periodos,
#luego se eliminan las lecturas que presenten cambios abruptos respecto de los valores predecesores.
if alimento == 'Con':
#Tamizar
if ((abs(dato - self.aDato_k_1[0])) > self.razon[0]):
datoT = self.aX_k_1[0]
else:
datoT = dato
#Filtrar
self.aSk[0] = self.aSk[0] - self.aPeso_kbuffer[0][
self.aContador[0]] + datoT
concentrado = self.aSk[0] / periodos
self.aPeso_kbuffer[0][self.aContador[0]] = datoT
#Mover el contador y retrasar las muestras
self.aContador[0] += 1
self.aDato_k_1[0] = dato
self.aX_k_1[0] = datoT
if self.aContador[0] == periodos:
self.aContador[0] = 0
return concentrado
if alimento == 'Min':
#Tamizar
if ((abs(dato - self.aDato_k_1[1])) > self.razon[1]):
datoT = self.aX_k_1[1]
else:
datoT = dato
#Filtrar
self.aSk[1] = self.aSk[1] - self.aPeso_kbuffer[1][
self.aContador[1]] + datoT
mineral = self.aSk[1] / periodos
self.aPeso_kbuffer[1][self.aContador[1]] = datoT
#Mover el contador y retrasar las muestras
self.aContador[1] += 1
self.aDato_k_1[1] = dato
self.aX_k_1[1] = datoT
if self.aContador[1] == periodos:
self.aContador[1] = 0
return mineral
if alimento == 'Lev':
#Tamizar
if ((abs(dato - self.aDato_k_1[2])) > self.razon[2]):
datoT = self.aX_k_1[2]
else:
datoT = dato
#Filtrar
self.aSk[2] = self.aSk[2] - self.aPeso_kbuffer[2][
self.aContador[2]] + datoT
levadura = self.aSk[2] / periodos
self.aPeso_kbuffer[2][self.aContador[2]] = datoT
#Mover el contador y retrasar las muestras
self.aContador[2] += 1
self.aDato_k_1[2] = dato
self.aX_k_1[2] = datoT
if self.aContador[2] == periodos:
self.aContador[2] = 0
return levadura
else:
print("Alimento no encontrado")
def inRangeCoerce(self, dato, minimo=0.0, maximo=100.0):
#Metodo que limita los valores de una variable
if dato > maximo:
return maximo
if dato < minimo:
return minimo
else:
return dato
def normalizarVelocidadConcentrado(self, dato):
#Metodo para normalizar los valores del concentrado
#Debido a la electronica, el valor de PWM permitido es entre 39 y 99.
#Fuera de esos valores comienza a presentarse comportamiento erratico.
dato = self.inRangeCoerce(dato, 0, 100)
dato = (self.maxCon - self.minCon) / 100 * dato + self.minCon
return dato
#Metodos para resumir bloques de la secuencia
def tararCeldas(self):
#Metodo para tarar todas las cedas de carga. Permite no hacerlo desde el main
self.leerMineral(80)
print("________________\nTarando Concentrado\n________________\n")
self.tararConcentrado(80, True)
print("Zero A1 ", self.asZeroC1)
print("Zero A2 ", self.asZeroC2)
print("Zero B1 ", self.asZeroC3)
print("Zero B2 ", self.asZeroC4)
print("________________\nTarando Mineral\n________________\n")
self.tararMineral(80)
print("________________\nTarando Levadura\n________________\n")
self.tararLevadura(80)
def resetearCeldas(self):
print("Reseteando celdas de carga concentrado")
#Celdas del concentrado
self.ahxC1.turnOff()
time.sleep(0.5)
self.ahxC1.turnOn()
time.sleep(0.5)
self.ahxC1.turnOff()
time.sleep(0.5)
self.ahxC1.turnOn()
time.sleep(0.5)
self.ahxC2.turnOff()
time.sleep(0.5)
self.ahxC2.turnOn()
time.sleep(0.5)
self.ahxC3.turnOff()
time.sleep(0.5)
self.ahxC3.turnOn()
time.sleep(0.5)
self.ahxC4.turnOff()
time.sleep(0.5)
self.ahxC4.turnOn()
time.sleep(0.5)
print("Reseteando celdas de carga Mineral y Levadura")
self.ahxML.turnOff()
time.sleep(0.5)
self.ahxML.turnOn()
time.sleep(0.5)
def filtroButterWorth(self, xk):
self.yk = (
0.7769 * self.xk_1 #- 0.007079*self.xk_2
+ 0.2231 * self.yk_1) #- 0.000002 * self.yk_2)
#Retrasar muestras
#self.xk_4 = self.xk_3
#self.xk_3 = self.xk_2
self.xk_2 = self.xk_1
self.xk_1 = xk
#self.yk_4 = self.yk_3
#self.yk_3 = self.yk_2
self.yk_2 = self.yk_1
self.yk_1 = self.yk
return self.yk
def controlPDCon(self, yk):
#Comienza algoritmo de control
#Calculo del error
ek = (self.aMasaObj[0] - yk)
#Estimacion del control PD
pk = self.aKp[0] * (ek)
dk = ((self.aKd[0] * self.aN[0]) *
(ek - self.aEk_1) + self.aDk_1) / (1 + self.aN[0] * 0.05)
pidk = pk + dk + 0.3
#Compensacion de componente no lineal
pidk = 100 * self.inRangeCoerce(pidk, 0, 0.99)
self.amConPWM.ChangeDutyCycle(pidk)
#Termina algoritmo de control
#Retrasa las muestras
self.aYk_1 = yk
self.aDk_1 = dk
self.aEk_1 = ek
self.aPWM[0] = pidk
def controlPDLev(self, yk):
#Comienza algoritmo de control
#Calculo del error
ek = (self.aMasaObj[2] - yk)
#Estimacion del control PD
pk = self.aKp[2] * (ek)
dk = ((self.aKd[2] * self.aN[2]) *
(ek - self.aEk_1) + self.aDk_1) / (1 + self.aN[2] * 0.05)
pidk = pk + dk + 0.4
#Compensacion de componente no lineal
pidk = self.inRangeCoerce(pidk, 0, 0.99)
pidk = self.escalar(pidk, 0, 1400)
self.amLevPWM.ChangeFrequency(pidk)
#Termina algoritmo de control
#Retrasa las muestras
self.aYk_1_Lev = yk
self.aDk_1_Lev = dk
self.aEk_1_Lev = ek
self.aPWM[2] = pidk
def escalar(self, dato, outMin, outMax, inMin=0, inMax=1):
m = (outMin - outMax) / (inMin - inMax)
b = outMin - inMin * m
dato = dato * m + b
return dato
##----- Metodos para pruebas por separado ----- ##
def InicializarCeldasTR(self):
#Inicializa solamente las celdas de carga de la tolva romana
self.ahxC1 = Scale(self.alsensorC1[0], self.alsensorC1[1], 1, 80)
#Celda de carga Concentrado C2
self.ahxC2 = Scale(self.alsensorC2[0], self.alsensorC2[1], 1, 80)
#Celda de carga Concentrado C3
self.ahxC3 = Scale(self.alsensorC3[0], self.alsensorC3[1], 1, 80)
#Celda de carga Concentrado C4
self.ahxC4 = Scale(self.alsensorC4[0], self.alsensorC4[1], 1, 80)
def InicializarCeldasML(self):
#Inicializa las celdas de carga del mineral/Levadura
self.ahxML = Scale(self.alsensorML[0], self.alsensorML[1], 1, 80)
def ResetearCeldasTR(self):
#Resetea las celdas de carga del concentrado
print("Reseteando celdas de carga concentrado")
self.ahxC1.turnOff()
self.ahxC2.turnOff()
self.ahxC3.turnOff()
self.ahxC4.turnOff()
time.sleep(0.5)
self.ahxC1.turnOn()
self.ahxC2.turnOn()
self.ahxC3.turnOn()
self.ahxC4.turnOff()
time.sleep(0.5)
def resetearCeldasML(self):
#Resetea las celdas de carga del Mineral/Levadura
print("Reseteando celdas de carga Mineral-Levadura")
#Celdas del Mineral/Levadura
self.ahxML.turnOff()
time.sleep(0.5)
self.ahxML.turnOn()
## --- Metodos para pruebas individuales --------
def probarCeldasMinLev(self, tiempo):
#Obtiene muestras de la celda de carga por una cantidad determinada de tiempo
print(self.aEspacio)
print("Probando celdas de carga Mineral-Levadura")
print(self.aEspacio)
self.InicializarCeldasML()
self.resetearCeldasML()
self.tararMineral(False, 80)
self.tararLevadura(False, 80)
print("Sin filtro\tCon Filtro")
tic = time.time()
while True:
Min = self.leerMineral(80)
#Calcular filtro de media movil en linea
MinF = self.filtradorTamizador(Min, 'Min', 5)
print("%f\t%f" % (Min, MinF))
toc = time.time()
#Condicion de parada para el ciclo
if ((toc - tic) >= tiempo):
break
def probarCeldasTR(self, tiempo):
#Obtiene muestras de la celda de carga por una cantidad determinada de tiempo
print(self.aEspacio)
print("Probando celdas de carga Tolva Romana")
print(self.aEspacio)
self.InicializarCeldasTR()
self.ResetearCeldasTR()
self.tararConcentrado(False, 80)
print("Sin filtro\tCon Filtro")
tic = time.time()
while True:
Con = self.leerConcentrado(80)
#Calcular filtro de media movil en linea
ConF = self.filtradorTamizador(Con, 'Con', 5)
print("%f\t%f" % (Con, ConF))
toc = time.time()
#Condicion de parada para el ciclo
if ((toc - tic) >= tiempo):
break
def obtenerFuncionRampaTR(self, maxSpeed=99):
#metodo que se usa para obtener la rampa de velocidad del citrocom
aceleracion = True
print(self.aEspacio)
print("Obteniendo rampa")
print(self.aEspacio)
self.inicializarPuertos()
self.InicializarCeldasTR()
self.ResetearCeldasTR()
self.tararConcentrado()
self.inicializarMotores()
self.amConPWM.ChangeDutyCycle(99)
print("Arrancado")
self.encenderMotores('Con')
c = 0
self.amConPWM.start(0)
while True:
if aceleracion:
for i in range(10, maxSpeed, 1):
masaConc = self.leerConcentrado(4)
masaConcF = self.filtradorTamizador(masaConc, 'Con', 5)
self.amConPWM.ChangeDutyCycle(i)
time.sleep(0.1)
print("%f\t%f\t%f" % (masaConc, masaConcF, i))
for i in reversed(range(10, maxSpeed, 1)):
masaConc = self.leerConcentrado(4)
masaConcF = self.filtradorTamizador(masaConc, 'Con', 5)
self.amConPWM.ChangeDutyCycle(i)
time.sleep(0.1)
print("%f\t%f\t%f" % (masaConc, masaConcF, i))
else:
if (c == 0):
self.amConPWM.ChangeDutyCycle(maxSpeed)
c += 0
def InicializarCeldasML(self):
#Inicializa las celdas de carga del mineral Levadura
self.ahxML = Scale(self.alsensorML[0], self.alsensorML[1], 1, 80)
def testTransposedScale(self):
for S, R in self.KnownTransposedScale:
T = Scale(S[0]).TransposeTo(S[1])
self.assertEqual(T, R)
print(S[0], "transposed to", S[1], "yields", T)
def __init__(self, para):
Net.__init__(self, para)
convPara1 = {
'instanceName': 'RN18' + '_Conv1',
'padding': True,
'padShape': (1, 1),
'stride': 1,
'outChannel': para['c1OutChannel'],
'kernelShape': (3, 3),
'bias': False
}
self.conv1 = Conv2D(convPara1)
self.norm1 = Normalize({'instanceName': 'RN18' + '_Norm1'})
self.scale1 = Scale({'instanceName': 'RN18' + '_Scale1'})
self.activation1 = Activation({
'instanceName': 'RN18' + '_Activation1',
'activationType': 'ReLU'
})
self.layerList.append(self.conv1)
self.layerList.append(self.norm1)
self.layerList.append(self.scale1)
self.layerList.append(self.activation1)
convPara2 = {
'instanceName': 'RN18' + '_Conv2',
'padding': True,
'padShape': (1, 1),
'stride': 2,
'outChannel': para['c2OutChannel'],
'kernelShape': (3, 3),
'bias': False
}
self.conv2 = Conv2D(convPara2)
self.norm2 = Normalize({'instanceName': 'RN18' + '_Norm2'})
self.scale2 = Scale({'instanceName': 'RN18' + '_Scale2'})
self.activation2 = Activation({
'instanceName': 'RN18' + '_Activation2',
'activationType': 'ReLU'
})
self.layerList.append(self.conv2)
self.layerList.append(self.norm2)
self.layerList.append(self.scale2)
self.layerList.append(self.activation2)
self.rnb1 = ResNetBlock({
'instanceName': 'RN18' + '_RNB1',
'skipMode': 'identity',
'skipStride': 0,
'stride1': 1,
'outChannel1': int(para['rnb1OutChannel'] / 4),
'outChannel2': int(para['rnb1OutChannel'] / 4),
'outChannel3': para['rnb1OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb1)
self.rnb2 = ResNetBlock({
'instanceName': 'RN18' + '_RNB2',
'skipMode': 'identity',
'skipStride': 0,
'stride1': 1,
'outChannel1': int(para['rnb1OutChannel'] / 4),
'outChannel2': int(para['rnb1OutChannel'] / 4),
'outChannel3': para['rnb1OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb2)
self.rnb3 = ResNetBlock({
'instanceName': 'RN18' + '_RNB3',
'skipMode': 'identity',
'skipStride': 0,
'stride1': 1,
'outChannel1': int(para['rnb1OutChannel'] / 4),
'outChannel2': int(para['rnb1OutChannel'] / 4),
'outChannel3': para['rnb1OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb3)
self.rnb4 = ResNetBlock({
'instanceName': 'RN18' + '_RNB4',
'skipMode': 'conv',
'skipStride': 2,
'stride1': 2,
'outChannel1': int(para['rnb4OutChannel'] / 4),
'outChannel2': int(para['rnb4OutChannel'] / 4),
'outChannel3': para['rnb4OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb4)
self.rnb5 = ResNetBlock({
'instanceName': 'RN18' + '_RNB5',
'skipMode': 'identity',
'skipStride': 1,
'stride1': 1,
'outChannel1': int(para['rnb4OutChannel'] / 4),
'outChannel2': int(para['rnb4OutChannel'] / 4),
'outChannel3': para['rnb4OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb5)
self.pool1 = Pool({
'instanceName': 'RN18' + '_pool1',
'poolType': 'ave',
'stride': para['pSize'],
'kernelShape': (para['pSize'], para['pSize'])
})
self.layerList.append(self.pool1)
self.fc1 = FullyConnected({
'instanceName': 'RN18' + '_fc1',
'outChannel': para['classNum'],
'bias': True
})
self.layerList.append(self.fc1)
self.softmax = Softmax({'instanceName': 'RN18' + '_softmax'})
self.layerList.append(self.softmax)
self.bottomInterface = self.conv1
self.topInterface = self.softmax
self.softmax.setNet(self)
from Scale import Scale
import time
from random import randint
from threading import Thread
from pythonosc import udp_client
from pythonosc import osc_message_builder
from pythonosc import osc_server
from pythonosc import dispatcher
client = udp_client.UDPClient("127.0.0.1", 8103)
scale = Scale()
timer = time.time()
calibrationStarted = False
def parseLightChange(index, r, g, b):
scale.changeColor(index, [r, g, b])
dispatcher = dispatcher.Dispatcher()
dispatcher.map("/changeLight", parseLightChange)
server = osc_server.ThreadingOSCUDPServer(("127.0.0.1", 8102), dispatcher)
print("ready to serve")
serverThread = Thread(target = server.serve_forever)
print("readier")
serverThread.daemon = True
serverThread.start()
def __init__(self, para):
Subnet.__init__(self, para)
self.layerList = []
self.fork = Fork2({'instanceName': para['instanceName'] + '_fork'})
self.layerList.append(self.fork)
self.skipMode = para['skipMode']
if self.skipMode == 'conv':
convPara4 = {
'instanceName': para['instanceName'] + '_skipConv1',
'padding': False,
'padShape': (0, 0),
'stride': para['skipStride'],
'outChannel': para['outChannel3'],
'kernelShape': (1, 1),
'bias': False
}
self.skipConv = Conv2D(convPara4)
self.skipNorm = Normalize(
{'instanceName': para['instanceName'] + '_skipNorm'})
self.skipScale = Scale(
{'instanceName': para['instanceName'] + '_skipScale'})
self.layerList.append(self.skipConv)
self.layerList.append(self.skipNorm)
self.layerList.append(self.skipScale)
convPara1 = {
'instanceName': para['instanceName'] + '_mainConv1',
'padding': False,
'padShape': (0, 0),
'stride': para['stride1'],
'outChannel': para['outChannel1'],
'kernelShape': (1, 1),
'bias': False
}
convPara2 = {
'instanceName': para['instanceName'] + '_mainConv2',
'padding': True,
'padShape': (1, 1),
'stride': 1,
'outChannel': para['outChannel2'],
'kernelShape': (3, 3),
'bias': False
}
convPara3 = {
'instanceName': para['instanceName'] + '_mainConv3',
'padding': False,
'padShape': (0, 0),
'stride': 1,
'outChannel': para['outChannel3'],
'kernelShape': (1, 1),
'bias': False
}
self.mainConv1 = Conv2D(convPara1)
self.mainNorm1 = Normalize(
{'instanceName': para['instanceName'] + '_mainNorm1'})
self.mainScale1 = Scale(
{'instanceName': para['instanceName'] + '_mainScale1'})
self.mainActivation1 = Activation({
'instanceName':
para['instanceName'] + '_mainReLU1',
'activationType':
para['activationType']
})
self.layerList.append(self.mainConv1)
self.layerList.append(self.mainNorm1)
self.layerList.append(self.mainScale1)
self.layerList.append(self.mainActivation1)
self.mainConv2 = Conv2D(convPara2)
self.mainNorm2 = Normalize(
{'instanceName': para['instanceName'] + '_mainNorm2'})
self.mainScale2 = Scale(
{'instanceName': para['instanceName'] + '_mainScale2'})
self.mainActivation2 = Activation({
'instanceName':
para['instanceName'] + '_mainReLU2',
'activationType':
para['activationType']
})
self.layerList.append(self.mainConv2)
self.layerList.append(self.mainNorm2)
self.layerList.append(self.mainScale2)
self.layerList.append(self.mainActivation2)
self.mainConv3 = Conv2D(convPara3)
self.mainNorm3 = Normalize(
{'instanceName': para['instanceName'] + '_mainNorm3'})
self.mainScale3 = Scale(
{'instanceName': para['instanceName'] + '_mainScale3'})
self.layerList.append(self.mainConv3)
self.layerList.append(self.mainNorm3)
self.layerList.append(self.mainScale3)
self.sum = Sum2({'instanceName': para['instanceName'] + '_sum'})
self.activation3 = Activation({
'instanceName': para['instanceName'] + '_outReLU3',
'activationType': para['activationType']
})
self.layerList.append(self.sum)
self.layerList.append(self.activation3)
self.bottomInterface = self.fork
self.topInterface = self.activation3
class RN18(Net):
'''
ResNet18 has a total of 18 layers:
Note that some parameters are predetermined. The parameters need to be specified are in ''.
For all ResNetBlock modules, the output sizes of stage 1 and stage 2 conv2D blocks equals to
1/4 of that of the final stage.
Conv1 - kernel:(3x3), pad:(1,1), stride:1, output: 'c1OutChannel'
Conv1 - kernel:(3x3), pad:(1,1), stride:2, output: 'c2OutChannel' # H and W reduced by half
RNB1 - skipMode:identity, output : 'rnb1OutChannel'
RNB2 - skipMode:identity, output : same as RNB1
RNB3 - skipMode:identity, output : same as RNB1
RNB4 - skipMode:conv, skipStride:2, output : 'rnb4OutChannel' # H and W reduced by half
RNB5 - skipMode:identity, output : same as RNB4
pool - average pooling of RNB5 per channel, reducing output to 'rnb4OutChannel', need to specify
'pSize', which is used to specify stride and kernel size
fc - outChannel: 'classNum'
softmax - final classification layer
'''
def __init__(self, para):
Net.__init__(self, para)
convPara1 = {
'instanceName': 'RN18' + '_Conv1',
'padding': True,
'padShape': (1, 1),
'stride': 1,
'outChannel': para['c1OutChannel'],
'kernelShape': (3, 3),
'bias': False
}
self.conv1 = Conv2D(convPara1)
self.norm1 = Normalize({'instanceName': 'RN18' + '_Norm1'})
self.scale1 = Scale({'instanceName': 'RN18' + '_Scale1'})
self.activation1 = Activation({
'instanceName': 'RN18' + '_Activation1',
'activationType': 'ReLU'
})
self.layerList.append(self.conv1)
self.layerList.append(self.norm1)
self.layerList.append(self.scale1)
self.layerList.append(self.activation1)
convPara2 = {
'instanceName': 'RN18' + '_Conv2',
'padding': True,
'padShape': (1, 1),
'stride': 2,
'outChannel': para['c2OutChannel'],
'kernelShape': (3, 3),
'bias': False
}
self.conv2 = Conv2D(convPara2)
self.norm2 = Normalize({'instanceName': 'RN18' + '_Norm2'})
self.scale2 = Scale({'instanceName': 'RN18' + '_Scale2'})
self.activation2 = Activation({
'instanceName': 'RN18' + '_Activation2',
'activationType': 'ReLU'
})
self.layerList.append(self.conv2)
self.layerList.append(self.norm2)
self.layerList.append(self.scale2)
self.layerList.append(self.activation2)
self.rnb1 = ResNetBlock({
'instanceName': 'RN18' + '_RNB1',
'skipMode': 'identity',
'skipStride': 0,
'stride1': 1,
'outChannel1': int(para['rnb1OutChannel'] / 4),
'outChannel2': int(para['rnb1OutChannel'] / 4),
'outChannel3': para['rnb1OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb1)
self.rnb2 = ResNetBlock({
'instanceName': 'RN18' + '_RNB2',
'skipMode': 'identity',
'skipStride': 0,
'stride1': 1,
'outChannel1': int(para['rnb1OutChannel'] / 4),
'outChannel2': int(para['rnb1OutChannel'] / 4),
'outChannel3': para['rnb1OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb2)
self.rnb3 = ResNetBlock({
'instanceName': 'RN18' + '_RNB3',
'skipMode': 'identity',
'skipStride': 0,
'stride1': 1,
'outChannel1': int(para['rnb1OutChannel'] / 4),
'outChannel2': int(para['rnb1OutChannel'] / 4),
'outChannel3': para['rnb1OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb3)
self.rnb4 = ResNetBlock({
'instanceName': 'RN18' + '_RNB4',
'skipMode': 'conv',
'skipStride': 2,
'stride1': 2,
'outChannel1': int(para['rnb4OutChannel'] / 4),
'outChannel2': int(para['rnb4OutChannel'] / 4),
'outChannel3': para['rnb4OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb4)
self.rnb5 = ResNetBlock({
'instanceName': 'RN18' + '_RNB5',
'skipMode': 'identity',
'skipStride': 1,
'stride1': 1,
'outChannel1': int(para['rnb4OutChannel'] / 4),
'outChannel2': int(para['rnb4OutChannel'] / 4),
'outChannel3': para['rnb4OutChannel'],
'activationType': 'ReLU'
})
self.layerList.append(self.rnb5)
self.pool1 = Pool({
'instanceName': 'RN18' + '_pool1',
'poolType': 'ave',
'stride': para['pSize'],
'kernelShape': (para['pSize'], para['pSize'])
})
self.layerList.append(self.pool1)
self.fc1 = FullyConnected({
'instanceName': 'RN18' + '_fc1',
'outChannel': para['classNum'],
'bias': True
})
self.layerList.append(self.fc1)
self.softmax = Softmax({'instanceName': 'RN18' + '_softmax'})
self.layerList.append(self.softmax)
self.bottomInterface = self.conv1
self.topInterface = self.softmax
self.softmax.setNet(self)
def stack(self, top, bottom):
self.top = top
self.bottom = bottom
self.conv1.stack(self.norm1, bottom)
self.norm1.stack(self.scale1, self.conv1)
self.scale1.stack(self.activation1, self.norm1)
self.activation1.stack(self.conv2, self.scale1)
self.conv2.stack(self.norm2, self.activation1)
self.norm2.stack(self.scale2, self.conv2)
self.scale2.stack(self.activation2, self.norm2)
self.activation2.stack(self.rnb1, self.scale2)
self.rnb1.stack(self.rnb2, self.activation2)
self.rnb2.stack(self.rnb3, self.rnb1)
self.rnb3.stack(self.rnb4, self.rnb2)
self.rnb4.stack(self.rnb5, self.rnb3)
self.rnb5.stack(self.pool1, self.rnb4)
self.pool1.stack(self.fc1, self.rnb5)
self.fc1.stack(self.softmax, self.pool1)
self.softmax.stack(top, self.fc1)
self.softmax.setSource(bottom)
class Dosificadora:
def __init__(self):
#Crear el objeto de la clase dosificadora
##Convenciones: axxxx: a significa atributo
#Con-> Concentrado
#Min-> Mineral
#Lev-> Levadura
#Puertos de control para las valvulas
self.avTolva = 2
self.avMineral = 16
self.avLevadura = 27
#Puertos de asignacion de las celdas de carga
self.alsensorC1 = (11, 9) #Formato tupla: (dt,sck)
self.alsensorC2 = (22, 10)
self.alsensorC3 = (24, 23)
self.alsensorC4 = (12, 6)
self.alsensorML = (19, 13)
#Puertos control de motores
self.amCon = (7, 8) #Formato tupla: (Encendido, velocidad)
self.amMin = (20, 21) #Formato tupla: (velocidad, sentido)
self.amLev = (25, 26)
#Sensibilidades celdas de carga
self.asMin = 1030.3320
self.asLev = 2563.3821
self.asC1 = 1
self.asC2 = 1
self.asC3 = 1
self.asC4 = 1
self.asConc = 50.380
#Valores de Tara para cada celda de carga
self.asZeroMin = 0
self.asZeroLev = 0
self.asZeroA1 = 0
self.asZeroA2 = 0
self.asZeroB1 = 0
self.asZeroB2 = 0
#Masas objetivo
self.aConObj = 1
self.aMinObj = 1
self.aLevObj = 1
#Parametros del filtro de media movil
self.peso_k_1 = [0, 0, 0] #Formato de lista [Con,Min,Lev]
self.peso_k_2 = [0, 0, 0] #Formato lista [Con,Min,Lev]
#Otros atributos
self.asText = "________________" #Separador de Textos
self.minCon = 39 #Menor ciclo de PWM permitido para el concentrado
self.maxCon = 99 #Mayor ciclo de PWM permitido para el concentrado
self.razon = [
800, 50, 10
] #Mayor tasa de cambio permitida por el filtro tamizador
#Formato lista [Con,Min,Lev]
self.aConCrucero = 70 #Velocidad crucero motor Con
self.aConMin = 60 #Minima velocidad para mover el motor
def __del__(self):
#Metodo destructor de objeto
nombre = self.__class__.__name__
print nombre, "Destruido"
def inicializarPuertos(self):
#Encargado de iniciar el estado de los puertos de RPi.
print("\n________________\nIniciando puertos\n________________\n")
#Configurar puertos
#Valvulas
GPIO.setup(self.avTolva, GPIO.OUT)
GPIO.setup(self.avMineral, GPIO.OUT)
GPIO.setup(self.avLevadura, GPIO.OUT)
#Motores
#Concentrado
GPIO.setup(self.amCon[0], GPIO.OUT)
GPIO.setup(self.amCon[1], GPIO.OUT)
#Mineral
GPIO.setup(self.amMin[0], GPIO.OUT)
GPIO.setup(self.amLev[0], GPIO.OUT)
#Levadura
GPIO.setup(self.amMin[1], GPIO.OUT)
GPIO.setup(self.amLev[1], GPIO.OUT)
#Colocar todos los puertos en BAJO "LOW".
GPIO.output(self.avTolva, 0)
GPIO.output(self.avMineral, 0)
GPIO.output(self.avLevadura, 0)
GPIO.output(self.amCon[0], 0)
GPIO.output(self.amCon[1], 0)
GPIO.output(self.amMin[0], 0)
GPIO.output(self.amMin[1], 0)
GPIO.output(self.amLev[0], 0)
GPIO.output(self.amLev[1], 0)
def inicializarMotores(self):
#Iniciar el estado de los motores
#Frecuencia de PWM
self.amMinPWM = GPIO.PWM(self.amMin[0],
300) #Formato tupla: (velocidad, sentido)
self.amLevPWM = GPIO.PWM(self.amLev[0],
300) #Formato tupla: (velocidad, sentido)
self.amConPWM = GPIO.PWM(self.amCon[1], 250)
##Iniciar PWM en valor 0
self.amMinPWM.start(0)
self.amLevPWM.start(0)
self.amConPWM.start(0)
def inicializarCeldas(self):
#Inciar celdas de carga
print(
"\n________________\nIniciando celdas de carga\n________________\n"
)
#Formato tupla: self.alsensorA = (dt,sck)
#Celda de carga Concentrado C1
self.ahxC1 = Scale(self.alsensorC1[0], self.alsensorC1[1], 1, 80)
#Celda de carga Concentrado C2
self.ahxC2 = Scale(self.alsensorC2[0], self.alsensorC2[1], 1, 80)
#Celda de carga Concentrado C3
self.ahxC3 = Scale(self.alsensorC3[0], self.alsensorC3[1], 1, 80)
#Celda de carga Concentrado C4
self.ahxC4 = Scale(self.alsensorC4[0], self.alsensorC4[1], 1, 80)
#Celda de carga Levadura Mineral
self.ahxML = Scale(self.alsensorML[0], selfalsensorML[1], 1, 80)
#Inicializa, resetea y tara A
print(
"\n________________\nConfigurando Amplificador C1\n________________\n"
)
#Resetear amplificador C1
self.ahxA.reset()
self.ahxA.set_gain(gain=64) #Configurar ganancia para el canal A
self.ahxA.select_channel(channel='A')
self.ahxA.set_reference_unit(1) #Resetear calibracion amplificador C1
self.ahxA.select_channel(channel='B')
self.ahxA.set_offset(0)
self.ahxA.select_channel(channel='A')
print('\tConfigurado\n')
# -------------------------------------------------------------#
##Configurar amplificador C2
#Inicializa, resetea y tara amplificador C2
print(
"\n________________\nConfigurando Amplificador C2\n________________\n"
)
print("\tReseteando...")
self.ahxA.reset() #Resetear amplificador C2
self.ahxB.set_gain(gain=64) #Configurar ganancia para el canal A
self.ahxB.select_channel(channel='A')
self.ahxB.set_reference_unit(1) #Resetear calibracion amplificador C2
self.asZeroB1 = self.ahxA.tare(1) #Tarar celda de carga
self.ahxB.select_channel(channel='B')
self.asZeroB2 = self.ahxA.tare(1)
self.ahxB.set_offset(0)
self.ahxB.select_channel(channel='A')
print('\tConfigurado\n')
##Configurar amplificador Min Lev
#Inicializa, resetea y tara Min Lev
print(
"\n________________\nConfigurando Amplificador Min Lev\n________________\n"
)
print("\tReseteando...")
self.ahxML.reset() #Resetear amplificador
print('\tConfigurado')
self.ahxML.set_gain(gain=64) #Configurar ganancia para el canal A
self.ahxML.select_channel(channel='A')
self.ahxML.set_reference_unit(1) #Calibrar celda A
self.asZeroMin = self.ahxML.tare(1) #Tarar celda de carga
self.ahxML.select_channel(channel='B')
self.asZeroLev = self.ahxML.tare(1)
self.ahxML.set_offset(0)
self.ahxML.select_channel(channel='A')
def encenderMotores(self, motor):
#Metodo que activa los motores
#Entrada: self-> Objeto propio de python
# motor-> Selector del motor:
# Con: Concentrado, Min: mineral Lev: levadura
if (motor == 'Con'):
if self.aConObj != 0:
#Encendido motor Con
velocidad = self.aConCrucero
self.amConPWM.ChangeDutyCycle(velocidad)
GPIO.output(self.amCon[0], 1)
else:
print "Masa es 0, concentrado no encendido"
return
if (motor == 'Min'):
if self.aMinObj != 0:
self.amMinPWM.ChangeFrequency(750)
self.amMinPWM.ChangeDutyCycle(50)
else:
print "Masa igual a 0, mineral no encendido"
return
if (motor == 'Lev'):
if self.aLevObj != 0:
self.amLevPWM.ChangeFrequency(750)
self.amLevPWM.ChangeDutyCycle(50)
else:
print "Masa igual a 0, levadura no encendido"
return
else:
print("Motor no encontrado")
def desacelerarMotores(self, motor):
#Metodo que desacelera los motores
if (motor == 'Con'):
velocidad = self.aConMin
self.amConPWM.ChangeDutyCycle(velocidad)
return
if (motor == 'Min'):
self.amMinPWM.ChangeFrequency(200)
self.amMinPWM.ChangeDutyCycle(50)
return
if (motor == 'Lev'):
self.amLevPWM.ChangeFrequency(200)
self.amLevPWM.ChangeDutyCycle(50)
return
else:
print "Motor no encontrado"
return
def apagarMotores(self, motor, condicion):
#Detener motores
#Entradas: motor: Seleccion del motor deseado
# Con -> Concentrado
# Min -> Mineral
# Lev -> Levadura
# Condicion: Indica si el motor no fue apagado en la iteracion anterior
if (motor == 'Con'):
GPIO.output(self.amCon[0], 0)
self.amConPWM.stop()
if condicion:
print("Concentrado apagado")
return
if (motor == 'Min'):
self.amMinPWM.ChangeFrequency(50)
self.amMinPWM.ChangeDutyCycle(0)
if condicion:
print("Mineral apagado")
return
if (motor == 'Lev'):
self.amLevPWM.ChangeFrequency(50)
self.amLevPWM.ChangeDutyCycle(0)
if condicion:
print("Levadura apagado")
return
else:
print("Motor no encontrado")
return
def abrirCerrarValvulas(self, valvula, condicion):
#Metodo de abrir y cerrar valvulas
#Entradas: valvula:
# Tolv -> Puerta de la tolva Romana
# Min -> Compuerta del mineral
# Lev -> Compuerta levadura
# condicion:
# 0 -> Valvula cerrada
# 1 -> Valvula abierta
if (valvula == 'Tolv'):
GPIO.output(self.avTolva, condicion)
return
if (valvula == 'Min'):
GPIO.output(self.avMineral, condicion)
return
if (valvula == 'Lev'):
GPIO.output(self.avLevadura, condicion)
return
else:
print("Valvula incorrecta")
def cambiarSensibilidad(self, celda, sensibilidad):
#Metodo para cambiar la sensibilidad de la celda de carga: (depuracion)
#Formato de celda: 'Min','Lev','A','B'
#Entradas: celda: A1, A2, B1, B2, Min, Lev
print("Cambiando sensibilidad")
if (celda == 'A1'):
self.asA1 = sensibilidad
self.axA.select_channel(channel='A')
self.axA.set_scale_ratio(sensibilidad)
return
if (celda == 'A2'):
self.asA2 = sensibilidad
self.axA.select_channel(channel='B')
self.axA.set_scale_ratio(sensibilidad)
return
if (celda == 'B1'):
self.asB1 = sensibilidad
self.axB.select_channel(channel='A')
self.axB.set_scale_ratio(sensibilidad)
return
if (celda == 'B2'):
self.asB2 = sensibilidad
self.axB.select_channel(channel='B')
self.axB.set_scale_ratio(sensibilidad)
return
if (celda == 'Min'):
self.asMin = sensibilidad
self.axML.select_channel(channel='A')
self.axML.set_scale_ratio(sensibilidad)
return
if (celda == 'Lev'):
self.asLev = sensibilidad
self.axML.select_channel(channel='A')
self.axML.set_scale_ratio(sensibilidad)
return
else:
print("Celda no encontrada")
def leerMineral(self, lecturas):
#Leer el peso del mineral en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
#Mineral puerto A del sensor
self.ahxML.select_channel(channel='A')
masaMin = -(
(self.ahxML.get_value(lecturas)) - self.asZeroMin) / self.asMin
return masaMin
def leerLevadura(self, lecturas):
#Leer el peso del mineral en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
self.ahxML.select_channel(channel='B')
masaLev = (self.ahxML.get_value(lecturas) -
self.asZeroLev) / self.asLev
return masaLev
def leerConcentrado(self, lecturas):
#Leer el peso del concentrado en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
self.ahxA.select_channel(channel='A')
Conc1 = (self.ahxA.get_value(lecturas) - self.asZeroA1)
self.ahxA.select_channel(channel='B')
Conc2 = (self.ahxA.get_value(lecturas) - self.asZeroA2)
self.ahxB.select_channel(channel='A')
Conc3 = (self.ahxB.get_value(lecturas) - self.asZeroB1)
self.ahxB.select_channel(channel='B')
Conc4 = (self.ahxB.get_value(lecturas) - self.asZeroB1)
Conc = (Conc1 + Conc2 + Conc3 + Conc4) / 2 * self.asConc
#Nota: De momento se estan leyendo solo las celdas de los puertos A del concentrado
# las celdas B presetan problemas de retardos en las lecturas
return Conc
def cerrarSteppers(self):
#Metodo para apagar puertos de velocidad de los motores
self.amMinPWM.stop()
self.amLevPWM.stop()
self.amConPWM.stop()
def leer4Concentrado(self):
#Metodo para leer por separado cada celda de carga del concentrado (depuracion)
self.ahxA.select_channel(channel='A')
Conc1 = (self.ahxA.get_value(1) - self.asZeroA1)
self.ahxA.select_channel(channel='B')
Conc2 = (self.ahxA.get_value(1) - self.asZeroA2)
self.ahxB.select_channel(channel='A')
Conc3 = (self.ahxB.get_value(1) - self.asZeroB1)
self.ahxB.select_channel(channel='B')
Conc4 = (self.ahxB.get_value(1) - self.asZeroB1)
print("%d\t%d\t%d\t%d" % (Conc1, Conc2, Conc3, Conc4))
def leer4ConcentradoRaw(self, lecturas):
#Metodo para leer cada celda del concentrado sin restar tara (depuracion)
self.ahxA.select_channel(channel='A')
Conc1 = (self.ahxA.get_value(lecturas))
self.ahxA.select_channel(channel='B')
Conc2 = (self.ahxA.get_value(lecturas))
self.ahxB.select_channel(channel='A')
Conc3 = (self.ahxB.get_value(lecturas))
self.ahxB.select_channel(channel='B')
Conc4 = (self.ahxB.get_value(lecturas))
print("%d\t%d\t%d\t%d" % (Conc1, Conc2, Conc3, Conc4))
return
def tararConcentrado(self, lecturas=30):
#Metodo para tarar los amplificadores del concentrado
self.ahxA.select_channel(channel='A')
self.asZeroA1 = self.ahxA.get_value(lecturas)
self.ahxA.select_channel(channel='B')
self.asZeroA2 = self.ahxA.get_value(lecturas)
self.ahxB.select_channel(channel='A')
self.asZeroB1 = self.ahxB.get_value(lecturas)
self.ahxB.select_channel(channel='B')
self.asZeroB2 = self.ahxB.get_value(lecturas)
def tararMineral(self, lecturas=30):
#print self.ahxML.GAIN
#Metodo para tarar mineral
self.ahxML.select_channel(channel='A')
self.asZeroMin = self.ahxML.get_value(lecturas)
print("\tTara del mineral %d" % (self.asZeroMin))
def tararLevadura(self, lecturas=30):
#Metodo para tarar levdura
self.ahxML.select_channel(channel='B')
self.asZeroMin = self.ahxML.get_value(lecturas)
print("\tTara de la levadura %d" % (self.asZeroMin))
def filtradorTamizador(self, dato, alimento):
#Metodo para filtrar y tamizar los valores de las celdas de carga
#Se aplica un filtro de media movil con tres periodos,
#luego se eliminan las lecturas que presenten cambios abruptos respecto de los valores predecesores.
if alimento == 'Con':
#Tamizar
if ((abs(dato - self.peso_k_1[0])) > self.razon[0]):
dato = self.peso_k_1[0]
print "Tamizado"
#Filtrar
concentrado = (dato + self.peso_k_1[0] + self.peso_k_2[0]) / 3
self.peso_k_2[0] = self.peso_k_1[0]
self.peso_k_1[0] = concentrado
return concentrado
if alimento == 'Min':
#Tamizar
if ((abs(dato - self.peso_k_1[1])) > self.razon[1]):
dato = self.peso_k_1[1]
print "Tamizado"
#Filtrar
mineral = (dato + self.peso_k_1[1] + self.peso_k_2[1]) / 3
self.peso_k_2[1] = self.peso_k_1[1]
self.peso_k_1[1] = mineral
return mineral
if alimento == 'Lev':
#Tamizar
if ((abs(dato - self.peso_k_1[2])) > self.razon[2]):
dato = self.peso_k_1[2]
print "Tamizado"
#Filtrar
levadura = (dato + self.peso_k_1[2] + self.peso_k_2[2]) / 3
self.peso_k_2[2] = self.peso_k_1[2]
self.peso_k_1[2] = levadura
return levadura
else:
print("Alimento no encontrado")
def inRangeCoerce(self, dato, minimo=0.0, maximo=100.0):
#Metodo que limita los valores de una variable
if dato > maximo:
return maximo
if dato < minimo:
return minimo
else:
return dato
def normalizarVelocidadConcentrado(self, dato):
#Metodo para normalizar los valores del concentrado
#Debido a la electronica, el valor de PWM permitido es entre 39 y 99.
#Fuera de esos valores comienza a presentarse comportamiento erratico.
dato = self.inRangeCoerce(dato, 0, 100)
dato = (self.maxCon - self.minCon) / 100 * dato + self.minCon
return dato
#Metodos para resumir bloques de la secuencia
def tararCeldas(self):
#Metodo para tarar todas las cedas de carga. Permite no hacerlo desde el main
self.leerMineral(30)
print("________________\nTarando Concentrado\n________________\n")
self.tararConcentrado(30)
print("Zero A1 ", self.asZeroA1)
print("Zero A2 ", self.asZeroA2)
print("Zero B1 ", self.asZeroB1)
print("Zero B2 ", self.asZeroB2)
print("________________\nTarando Mineral\n________________\n")
self.tararMineral(30)
print("________________\nTarando Levadura\n________________\n")
self.tararLevadura(30)
self.tararMineral(30)
def resetearCeldas(self):
print("Reseteando celdas de carga concentrado")
#Celdas del concentrado
self.hxC1.turnOff()
time.sleep(0.5)
self.hxC1.turnOn()
time.sleep(0.5)
self.hxC1.turnOff()
time.sleep(0.5)
self.hxC1.turnOn()
time.sleep(0.5)
self.hxC2.turnOff()
time.sleep(0.5)
self.hxC2.turnOn()
time.sleep(0.5)
self.hxC3.turnOff()
time.sleep(0.5)
self.hxC3.turnOn()
time.sleep(0.5)
self.hxC4.turnOff()
time.sleep(0.5)
self.hxC4.turnOn()
time.sleep(0.5)
print("Reseteando celdas de carga Mineral y Levadura")
self.hxML.turnOff()
time.sleep(0.5)
self.hxML.turnOn()
time.sleep(0.5)
def __init__(self,
title_word_length,
content_word_length,
title_char_length,
content_char_length,
fs_btm_tw_cw_length,
fs_btm_tc_length,
fs_idf_100_pl_length,
class_num,
word_embedding_matrix,
char_embedding_matrix,
word_idf_embedding_matrix,
char_idf_embedding_matrix,
optimizer_name,
lr,
metrics):
# set attributes
self.title_word_length = title_word_length
self.content_word_length = content_word_length
self.title_char_length = title_char_length
self.content_char_length = content_char_length
self.fs_btm_tw_cw_length = fs_btm_tw_cw_length
self.fs_btm_tc_length = fs_btm_tc_length
self.class_num = class_num
self.word_embedding_matrix = word_embedding_matrix
self.char_embedding_matrix = char_embedding_matrix
self.optimizer_name = optimizer_name
self.lr = lr
self.metrics = metrics
# Placeholder for input (title and content)
title_word_input = Input(shape=(title_word_length,), dtype='int32', name="title_word_input")
cont_word_input = Input(shape=(content_word_length,), dtype='int32', name="content_word_input")
title_char_input = Input(shape=(title_char_length,), dtype='int32', name="title_char_input")
cont_char_input = Input(shape=(content_char_length,), dtype='int32', name="content_char_input")
# Embedding layer
with K.tf.device("/cpu:0"):
word_embedding_layer = Embedding(len(word_embedding_matrix),
256,
weights=[word_embedding_matrix],
trainable=True, name='word_embedding')
title_word_emb = word_embedding_layer(title_word_input)
cont_word_emb = word_embedding_layer(cont_word_input)
char_embedding_layer = Embedding(len(char_embedding_matrix),
256,
weights=[char_embedding_matrix],
trainable=True, name='char_embedding')
title_char_emb = char_embedding_layer(title_char_input)
cont_char_emb = char_embedding_layer(cont_char_input)
word_idf_embedding_layer = Embedding(len(word_idf_embedding_matrix),
1,
weights=[word_idf_embedding_matrix],
trainable=False, name='word_idf_embedding')
title_word_idf_emb = word_idf_embedding_layer(title_word_input)
cont_word_idf_emb = word_idf_embedding_layer(cont_word_input)
char_idf_embedding_layer = Embedding(len(char_idf_embedding_matrix),
1,
weights=[char_idf_embedding_matrix],
trainable=False, name='char_idf_embedding')
title_char_idf_emb = char_idf_embedding_layer(title_char_input)
cont_char_idf_emb = char_idf_embedding_layer(cont_char_input)
title_word_emb = concatenate([title_word_emb, title_word_idf_emb])
cont_word_emb = concatenate([cont_word_emb, cont_word_idf_emb])
title_char_emb = concatenate([title_char_emb, title_char_idf_emb])
cont_char_emb = concatenate([cont_char_emb, cont_char_idf_emb])
# Create a convolution + max pooling layer
title_content_features = list()
for win_size in range(1, 8):
# batch_size x doc_len x embed_size
title_content_features.append(
GlobalMaxPooling1D()(Conv1D(100, win_size, activation='relu', padding='same')(title_word_emb)))
title_content_features.append(
GlobalMaxPooling1D()(Conv1D(100, win_size, activation='relu', padding='same')(cont_word_emb)))
title_content_features.append(
GlobalMaxPooling1D()(Conv1D(100, win_size, activation='relu', padding='same')(title_char_emb)))
title_content_features.append(
GlobalMaxPooling1D()(Conv1D(100, win_size, activation='relu', padding='same')(cont_char_emb)))
# add btm_tw_cw features + btm_tc features
fs_btm_tw_cw_input = Input(shape=(fs_btm_tw_cw_length,), dtype='float32', name="fs_btm_tw_cw_input")
fs_btm_tc_input = Input(shape=(fs_btm_tc_length,), dtype='float32', name="fs_btm_tc_input")
fs_btm_raw_features = concatenate([fs_btm_tw_cw_input, fs_btm_tc_input])
fs_btm_emb_features = Dense(1024, activation='relu', name='fs_btm_embedding')(fs_btm_raw_features)
fs_btm_emb_features = Dropout(0.5, name='fs_btm_embedding_dropout')(fs_btm_emb_features)
title_content_features.append(fs_btm_emb_features)
title_content_features = concatenate(title_content_features)
# add word share features
fs_idf_100_pl_input = Input(shape=(fs_idf_100_pl_length,), dtype='float32', name="fs_idf_100_pl_input")
preds_prior = Activation("sigmoid")(Scale()(fs_idf_100_pl_input))
# Full connection
title_content_features = Dense(3600, activation='relu', name='fs_embedding')(title_content_features)
title_content_features = Dropout(0.5, name='fs_embedding_dropout')(title_content_features)
# Prediction
preds_lh = Dense(class_num, activation='sigmoid')(title_content_features)
preds = Multiply(name='prediction')([preds_prior, preds_lh])
self._model = Model([title_word_input,
cont_word_input,
title_char_input,
cont_char_input,
fs_btm_tw_cw_input,
fs_btm_tc_input,
fs_idf_100_pl_input], preds)
if 'rmsprop' == optimizer_name:
optimizer = optimizers.RMSprop(lr=lr)
elif 'adam' == optimizer_name:
optimizer = optimizers.Adam(lr=lr, beta_1=0.9, beta_2=0.999, epsilon=1e-08)
else:
optimizer = None
self._model.compile(loss=binary_crossentropy_sum, optimizer=optimizer, metrics=metrics)
self._model.summary()
def inicializarCeldas(self):
#Inciar celdas de carga
print(
"\n________________\nIniciando celdas de carga\n________________\n"
)
#Formato tupla: self.alsensorA = (dt,sck)
#Celda de carga Concentrado C1
self.ahxC1 = Scale(self.alsensorC1[0], self.alsensorC1[1], 1, 80)
#Celda de carga Concentrado C2
self.ahxC2 = Scale(self.alsensorC2[0], self.alsensorC2[1], 1, 80)
#Celda de carga Concentrado C3
self.ahxC3 = Scale(self.alsensorC3[0], self.alsensorC3[1], 1, 80)
#Celda de carga Concentrado C4
self.ahxC4 = Scale(self.alsensorC4[0], self.alsensorC4[1], 1, 80)
#Celda de carga Levadura Mineral
self.ahxML = Scale(self.alsensorML[0], selfalsensorML[1], 1, 80)
#Inicializa, resetea y tara A
print(
"\n________________\nConfigurando Amplificador C1\n________________\n"
)
#Resetear amplificador C1
self.ahxA.reset()
self.ahxA.set_gain(gain=64) #Configurar ganancia para el canal A
self.ahxA.select_channel(channel='A')
self.ahxA.set_reference_unit(1) #Resetear calibracion amplificador C1
self.ahxA.select_channel(channel='B')
self.ahxA.set_offset(0)
self.ahxA.select_channel(channel='A')
print('\tConfigurado\n')
# -------------------------------------------------------------#
##Configurar amplificador C2
#Inicializa, resetea y tara amplificador C2
print(
"\n________________\nConfigurando Amplificador C2\n________________\n"
)
print("\tReseteando...")
self.ahxA.reset() #Resetear amplificador C2
self.ahxB.set_gain(gain=64) #Configurar ganancia para el canal A
self.ahxB.select_channel(channel='A')
self.ahxB.set_reference_unit(1) #Resetear calibracion amplificador C2
self.asZeroB1 = self.ahxA.tare(1) #Tarar celda de carga
self.ahxB.select_channel(channel='B')
self.asZeroB2 = self.ahxA.tare(1)
self.ahxB.set_offset(0)
self.ahxB.select_channel(channel='A')
print('\tConfigurado\n')
##Configurar amplificador Min Lev
#Inicializa, resetea y tara Min Lev
print(
"\n________________\nConfigurando Amplificador Min Lev\n________________\n"
)
print("\tReseteando...")
self.ahxML.reset() #Resetear amplificador
print('\tConfigurado')
self.ahxML.set_gain(gain=64) #Configurar ganancia para el canal A
self.ahxML.select_channel(channel='A')
self.ahxML.set_reference_unit(1) #Calibrar celda A
self.asZeroMin = self.ahxML.tare(1) #Tarar celda de carga
self.ahxML.select_channel(channel='B')
self.asZeroLev = self.ahxML.tare(1)
self.ahxML.set_offset(0)
self.ahxML.select_channel(channel='A')
import sys
import time as t
from time import sleep
import datetime
from CProbe import ConductivityProbe
from TProbes import TemperatureProbes
from Scale import Scale
# Request Sensor Ports/Connection info
C = ConductivityProbe(1, 115200)
C.openC()
T = TemperatureProbes(0, 115200)
T.openC()
S = Scale(0, 19200)
S.openC()
#Request File name for raw conductivty data
filenameConductivity = str(
input(
"What would you like the file name for the raw conductivity data to be? "
)) + ".csv"
fileConductivity = open(filenameConductivity, "w+")
print("Opened Conductivity file")
fileScale.close()
print("Closed Conductivity file")
#Request File name for raw temperature data
filenameTemperature = str(
input(
class Dosificadora:
def __init__(self):
#Crear el objeto de la clase dosificadora
##Convenciones: axxxx: a significa atributo
#Con-> Concentrado
#Min-> Mineral
#Lev-> Levadura
#Puertos de control para las valvulas
self.avTolva = 2
self.avMineral = 16
self.avLevadura = 27
#Puertos de asignacion de las celdas de carga
self.alsensorC1 = (11,9) #Formato tupla: (dt,sck)
self.alsensorC2 = (22,10)
self.alsensorC3 = (24,23)
self.alsensorC4 = (12,6)
self.alsensorML = (19,13)
#Puertos control de motores
self.amCon = (7,8) #Formato tupla: (Encendido, velocidad)
self.amMin = (20,21) #Formato tupla: (velocidad, sentido)
self.amLev = (25,26)
#Sensibilidades celdas de carga
self.asMin = 1030.3320
self.asLev = 2563.3821
self.asC1 = 1
self.asC2 = 1
self.asC3 = 1
self.asC4 = 1
self.asConc = 53.2201
#Valores de Tara para cada celda de carga
self.asZeroMin = 0
self.asZeroLev = 0
self.asZeroC1 = 0
self.asZeroC2 = 0
self.asZeroC3 = 0
self.asZeroC4 = 0
#Masas objetivo
self.aConObj = 1
self.aMinObj = 1
self.aLevObj = 1
#Parametros del filtro tamizador y media movil
self.aPeso_kbuffer = [[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0]] #Formato lista [Con,Min,Lev]
self.aSk = [0.0, 0.0,0.0 ] #Formato listas [Con,Min,Lev]
self.aContador = [0, 0, 0 ]
self.aDato_k_1 = [0, 0, 0 ]
self.aX_k_1 = [0, 0, 0 ]
#Otros atributos
self.asText = "________________" #Separador de Textos
self.minCon = 39.0 #Menor ciclo de PWM permitido para el concentrado
self.maxCon = 99.0 #Mayor ciclo de PWM permitido para el concentrado
self.razon = [60.0,50.0,10.0] #Mayor tasa de cambio permitida por el filtro tamizador
#Formato lista [Con,Min,Lev]
self.aConCrucero = 70.0 #Velocidad crucero motor Con
self.aConMin = 60.0 #Minima velocidad para mover el motor
#Parametros filtro Butterworth
"""self.xk = 0.0
self.xk_1 = 0.0
self.xk_2 = 0.0
self.xk_3 = 0.0
self.xk_4 = 0.0
self.yk = 0.0
self.yk_1 = 0.0
self.yk_2 = 0.0
self.yk_3 = 0.0
self.yk_4 = 0.0
"""
#Control PI
self.ik = 0.0
self.kp = 0.003625
self.ki = 0.0003 #0.00065
self.ref = 0.0
def __del__(self):
#Metodo destructor de objeto
nombre = self.__class__.__name__
print(nombre, "Destruido")
def inicializarPuertos(self):
#Encargado de iniciar el estado de los puertos de RPi.
print("\n________________\nIniciando puertos\n________________\n")
#Configurar puertos
#Valvulas
GPIO.setup(self.avTolva,GPIO.OUT)
GPIO.setup(self.avMineral,GPIO.OUT)
GPIO.setup(self.avLevadura,GPIO.OUT)
#Motores
#Concentrado
GPIO.setup(self.amCon[0],GPIO.OUT)
GPIO.setup(self.amCon[1],GPIO.OUT)
#Mineral
GPIO.setup(self.amMin[0],GPIO.OUT)
GPIO.setup(self.amLev[0],GPIO.OUT)
#Levadura
GPIO.setup(self.amMin[1],GPIO.OUT)
GPIO.setup(self.amLev[1],GPIO.OUT)
#Colocar todos los puertos en BAJO "LOW".
GPIO.output(self.avTolva,0)
GPIO.output(self.avMineral,0)
GPIO.output(self.avLevadura,0)
GPIO.output(self.amCon[0],0)
GPIO.output(self.amCon[1],0)
GPIO.output(self.amMin[0],0)
GPIO.output(self.amMin[1],0)
GPIO.output(self.amLev[0],0)
GPIO.output(self.amLev[1],0)
def inicializarMotores(self):
#Iniciar el estado de los motores
#Frecuencia de PWM
self.amMinPWM = GPIO.PWM(self.amMin[0],300) #Formato tupla: (velocidad, sentido)
self.amLevPWM = GPIO.PWM(self.amLev[0],300) #Formato tupla: (velocidad, sentido)
self.amConPWM = GPIO.PWM(self.amCon[1],250)
##Iniciar PWM en valor 0
self.amMinPWM.start(0)
self.amLevPWM.start(0)
self.amConPWM.start(0)
def inicializarCeldas(self):
#Inciar celdas de carga
print("\n________________\nIniciando celdas de carga\n________________\n")
#Formato tupla: self.alsensorA = (dt,sck)
#Celda de carga Concentrado C1
self.ahxC1 = Scale(self.alsensorC1[0], self.alsensorC1[1], 1, 80)
#Celda de carga Concentrado C2
self.ahxC2 = Scale(self.alsensorC2[0], self.alsensorC2[1], 1, 80)
#Celda de carga Concentrado C3
self.ahxC3 = Scale(self.alsensorC3[0], self.alsensorC3[1], 1, 80)
#Celda de carga Concentrado C4
self.ahxC4 = Scale(self.alsensorC4[0], self.alsensorC4[1], 1, 80)
#Celda de carga Levadura Mineral
self.ahxML = Scale(self.alsensorML[0], self.alsensorML[1], 1, 80)
self.resetearCeldas()
def encenderMotores(self,motor):
#Metodo que activa los motores
#Entrada: self-> Objeto propio de python
# motor-> Selector del motor:
# Con: Concentrado, Min: mineral Lev: levadura
if (motor=='Con'):
if self.aConObj!=0:
#Encendido motor Con
velocidad = 99#self.aConCrucero
self.amConPWM.ChangeDutyCycle(velocidad)
GPIO.output(self.amCon[0],1)
else:
print("Masa es 0, concentrado no encendido")
return
if (motor=='Min'):
if self.aMinObj!=0:
self.amMinPWM.ChangeFrequency(750)
self.amMinPWM.ChangeDutyCycle(50)
else:
print("Masa igual a 0, mineral no encendido")
return
if (motor=='Lev'):
if self.aLevObj!=0:
self.amLevPWM.ChangeFrequency(750)
self.amLevPWM.ChangeDutyCycle(50)
else:
print("Masa igual a 0, levadura no encendido")
return
else:
print("Motor no encontrado")
def desacelerarMotores(self,motor):
#Metodo que desacelera los motores
if(motor=='Con'):
velocidad = self.aConMin
self.amConPWM.ChangeDutyCycle(velocidad)
return
if(motor=='Min'):
self.amMinPWM.ChangeFrequency(200)
self.amMinPWM.ChangeDutyCycle(50)
return
if(motor=='Lev'):
self.amLevPWM.ChangeFrequency(200)
self.amLevPWM.ChangeDutyCycle(50)
return
else:
print("Motor no encontrado")
return
def apagarMotores(self,motor,condicion):
#Detener motores
#Entradas: motor: Seleccion del motor deseado
# Con -> Concentrado
# Min -> Mineral
# Lev -> Levadura
# Condicion: Indica si el motor no fue apagado en la iteracion anterior
if (motor=='Con'):
GPIO.output(self.amCon[0],0)
self.amConPWM.stop()
if condicion:
print("Concentrado apagado")
return
if (motor=='Min'):
self.amMinPWM.ChangeFrequency(50)
self.amMinPWM.ChangeDutyCycle(0)
if condicion:
print("Mineral apagado")
return
if (motor=='Lev'):
self.amLevPWM.ChangeFrequency(50)
self.amLevPWM.ChangeDutyCycle(0)
if condicion:
print("Levadura apagado")
return
else:
print("Motor no encontrado")
return
def abrirCerrarValvulas(self,valvula,condicion):
#Metodo de abrir y cerrar valvulas
#Entradas: valvula:
# Tolv -> Puerta de la tolva Romana
# Min -> Compuerta del mineral
# Lev -> Compuerta levadura
# condicion:
# 0 -> Valvula cerrada
# 1 -> Valvula abierta
if (valvula=='Tolv'):
GPIO.output(self.avTolva,condicion)
return
if (valvula =='Min'):
GPIO.output(self.avMineral,condicion)
return
if (valvula =='Lev'):
GPIO.output(self.avLevadura,condicion)
return
else:
print("Valvula incorrecta")
def cambiarSensibilidad(self,celda,sensibilidad):
#Metodo para cambiar la sensibilidad de la celda de carga: (depuracion)
#Formato de celda: 'Min','Lev','A','B'
#Entradas: celda: A1, A2, B1, B2, Min, Lev
print("Cambiando sensibilidad")
if (celda=='A1'):
self.asA1 = sensibilidad
self.axA.select_channel(channel='A')
self.axA.set_scale_ratio(sensibilidad)
return
if (celda=='A2'):
self.asA2 = sensibilidad
self.axA.select_channel(channel='B')
self.axA.set_scale_ratio(sensibilidad)
return
if (celda=='B1'):
self.asB1 = sensibilidad
self.axB.select_channel(channel='A')
self.axB.set_scale_ratio(sensibilidad)
return
if (celda=='B2'):
self.asB2 = sensibilidad
self.axB.select_channel(channel='B')
self.axB.set_scale_ratio(sensibilidad)
return
if (celda=='Min'):
self.asMin = sensibilidad
self.axML.select_channel(channel='A')
self.axML.set_scale_ratio(sensibilidad)
return
if (celda=='Lev'):
self.asLev = sensibilidad
self.axML.select_channel(channel='A')
self.axML.set_scale_ratio(sensibilidad)
return
else:
print("Celda no encontrada")
def leerMineral(self,lecturas):
#Leer el peso del mineral en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
#Mineral puerto A del sensor
masaMin = -((self.ahxML.weighOnce())-self.asZeroMin)/self.asMin
return masaMin
def leerLevadura(self,lecturas):
#Leer el peso del mineral en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
masaLev = (self.ahxML.weighOnce()-self.asZeroLev)/self.asLev
return masaLev
def leerConcentrado(self,lecturas):
#Leer el peso del concentrado en gramos.
#Entrada: lecturas -> Cantidad de veces que el sensor se lee antes de retornar
Conc1 = self.ahxC1.weighOnce()-self.asZeroC1
Conc2 = self.ahxC2.weighOnce()-self.asZeroC2
Conc3 = self.ahxC3.weighOnce()-self.asZeroC3
Conc4 = -(self.ahxC4.weighOnce()-self.asZeroC4)
Conc = (Conc1+Conc2+Conc3+Conc4)/(4*self.asConc)
#Nota: De momento se estan leyendo solo las celdas de los puertos A del concentrado
# las celdas B presetan problemas de retardos en las lecturas
return float(Conc)
def cerrarSteppers(self):
#Metodo para apagar puertos de velocidad de los motores
self.amMinPWM.stop()
self.amLevPWM.stop()
self.amConPWM.stop()
def leer4Concentrado(self):
#Metodo para leer por separado cada celda de carga del concentrado (depuracion)
Conc1 = self.ahxC1.weighOnce()-self.asZeroC1
Conc2 = self.ahxC2.weighOnce()-self.asZeroC2
Conc3 = self.ahxC3.weighOnce()-self.asZeroC3
Conc4 = -(self.ahxC4.weighOnce()-self.asZeroC4)
print("%d\t%d\t%d\t%d"%(Conc1,Conc2,Conc3,Conc4))
def leer4ConcentradoRaw(self,lecturas):
#Metodo para leer cada celda del concentrado sin restar tara (depuracion)
Conc1 = self.ahxC1.weighOnce()
Conc2 = self.ahxC2.weighOnce()
Conc3 = self.ahxC3.weighOnce()
Conc4 = self.ahxC4.weighOnce()
print("%d\t%d\t%d\t%d"%(Conc1,Conc2,Conc3,Conc4))
def tararConcentrado(self,imprimir= False,lecturas=30):
#Metodo para tarar los amplificadores del concentrado
if imprimir:
print("Tarando")
self.asZeroC1 = self.ahxC1.weigh(80)
self.asZeroC2 = self.ahxC2.weigh(80)
self.asZeroC3 = self.ahxC3.weigh(80)
self.asZeroC4 = self.ahxC4.weigh(80)
if imprimir:
print("Tara del concentrado\n%d\t%d\t%d\t%d\t"%
(self.asZeroC1,self.asZeroC2,self.asZeroC3,self.asZeroC4))
def tararMineral(self,printVal=False,lecturas=30):
#Metodo para tarar mineral
self.asZeroMin = self.ahxML.tare(lecturas,False)
if printVal:
print("\tTara del mineral %d"%(self.asZeroMin))
def tararLevadura(self,printVal=False,lecturas = 30):
#Metodo para tarar levdura
self.asZeroMin = self.ahxML.tare(lecturas,False)
if printVal:
print("\tTara de la levadura %d"%(self.asZeroMin))
def filtradorTamizador(self,dato,alimento):
#Metodo para filtrar y tamizar los valores de las celdas de carga
#Se aplica un filtro de media movil con tres periodos,
#luego se eliminan las lecturas que presenten cambios abruptos respecto de los valores predecesores.
if alimento == 'Con':
#Tamizar
if ((abs(dato-self.aDato_k_1[0]))>self.razon[0]):
datoT = self.aX_k_1[0]
#print("Tamizado")
else:
datoT = dato
#Filtrar
self.aSk[0] = self.aSk[0]-self.aPeso_kbuffer[0][self.aContador[0]]+datoT
concentrado = self.aSk[0]/5
self.aPeso_kbuffer[0][self.aContador[0]] = datoT
#Mover el contador y retrasar las muestras
self.aContador[0] += 1
self.aDato_k_1[0] = dato
self.aX_k_1[0] = datoT
if self.aContador[0] == 5:
self.aContador[0] = 0
return concentrado
if alimento == 'Min':
#Tamizar
if ((abs(dato-self.peso_k_1[1]))>self.razon[1]):
dato = self.peso_k_1[1]
print("Tamizado")
#Filtrar
mineral = (dato+self.peso_k_1[1]+self.peso_k_2[1])/3
self.peso_k_2[1] = self.peso_k_1[1]
self.peso_k_1[1] = mineral
return mineral
if alimento == 'Lev':
#Tamizar
if ((abs(dato-self.peso_k_1[2]))>self.razon[2]):
dato = self.peso_k_1[2]
print("Tamizado")
#Filtrar
levadura = (dato+self.peso_k_1[2]+self.peso_k_2[2])/3
self.peso_k_2[2] = self.peso_k_1[2]
self.peso_k_1[2] = levadura
return levadura
else:
print("Alimento no encontrado")
def inRangeCoerce(self,dato, minimo = 0.0, maximo = 100.0):
#Metodo que limita los valores de una variable
if dato > maximo:
return maximo
if dato < minimo:
return minimo
else:
return dato
def normalizarVelocidadConcentrado(self,dato):
#Metodo para normalizar los valores del concentrado
#Debido a la electronica, el valor de PWM permitido es entre 39 y 99.
#Fuera de esos valores comienza a presentarse comportamiento erratico.
dato = self.inRangeCoerce(dato,0,100)
dato = (self.maxCon-self.minCon)/100 * dato + self.minCon
return dato
#Metodos para resumir bloques de la secuencia
def tararCeldas(self):
#Metodo para tarar todas las cedas de carga. Permite no hacerlo desde el main
self.leerMineral(80)
print("________________\nTarando Concentrado\n________________\n")
self.tararConcentrado(80,True)
print("Zero A1 ",self.asZeroC1)
print("Zero A2 ",self.asZeroC2)
print("Zero B1 ",self.asZeroC3)
print("Zero B2 ",self.asZeroC4)
print("________________\nTarando Mineral\n________________\n")
self.tararMineral(80)
print("________________\nTarando Levadura\n________________\n")
self.tararLevadura(80)
def resetearCeldas(self):
print("Reseteando celdas de carga concentrado")
#Celdas del concentrado
self.ahxC1.turnOff()
time.sleep(0.5)
self.ahxC1.turnOn()
time.sleep(0.5)
self.ahxC1.turnOff()
time.sleep(0.5)
self.ahxC1.turnOn()
time.sleep(0.5)
self.ahxC2.turnOff()
time.sleep(0.5)
self.ahxC2.turnOn()
time.sleep(0.5)
self.ahxC3.turnOff()
time.sleep(0.5)
self.ahxC3.turnOn()
time.sleep(0.5)
self.ahxC4.turnOff()
time.sleep(0.5)
self.ahxC4.turnOn()
time.sleep(0.5)
print("Reseteando celdas de carga Mineral y Levadura")
self.ahxML.turnOff()
time.sleep(0.5)
self.ahxML.turnOn()
time.sleep(0.5)
def filtroButterWorth(self,xk):
self.yk = (0.7769*self.xk_1 #- 0.007079*self.xk_2
+ 0.2231*self.yk_1) #- 0.000002 * self.yk_2)
#Retrasar muestras
#self.xk_4 = self.xk_3
#self.xk_3 = self.xk_2
self.xk_2 = self.xk_1
self.xk_1 = xk
#self.yk_4 = self.yk_3
#self.yk_3 = self.yk_2
self.yk_2 = self.yk_1
self.yk_1 = self.yk
return self.yk
def controlPI(self,xk):
if ((xk +250) < self.aConObj):
ek = self.aConObj-xk
PI = ek*self.kp+self.ki*self.ik
PIl = self.inRangeCoerce(PI,0,99)
self.amConPWM.ChangeDutyCycle(PIl)
self.ik = ek*0.1+self.ik
return PI
else:
self.apagarMotores("Con",False)
#Anti Windup
self.inRangeCoerce(self.ik,-100/self.ki,100/self.ki)
