def train(date):
dataB = db.Database("data/dataset.csv")
try:
# Initialization of tracks classes
tracks = t.Tracks(link=date, driver=webdriver, t_="train")
# loop throught the page links
for i, link in enumerate(tracks.links()):
click.echo("--> [%s] Accessing the url: %s" % (i, link))
# Initialization of races classe
race = r.Races(link=link, driver=webdriver, t_="train")
# getting infos of race
infos = race.train_informations()
# Declare a list that contain all stats of dog's race
stats = list()
# For each dog present in race, calculate the stats
for dog in race.train_dogs():
dogs = d.Dogs(dog, infos, webdriver, "train")
s_ = dogs.stats()
print(s_)
except Exception as e:
raise e
webdriver.close()
finally:
webdriver.close()
def predict():
click.echo("--> Starting predict script...")
tracks = t.Tracks(t_="predict")
api = connection.API()
for future in tracks.future():
race = r.Races(future, webdriver, "predict")
infos = race.future_informations()
infos["dogs"] = []
stats = list()
# For each dog present in race, calculate the stats
for dog in race.future_dogs():
dogs = d.Dogs(dog, infos, webdriver, "predict")
infos["w_track"], infos["w_trap"], infos[
"w_grade"] = dogs.extra_infos()
dog["probability"] = round(random.uniform(1, 99), 2)
dog["best_time"] = round(random.uniform(25, 30), 2)
dog.pop("date")
infos["dogs"].append(dog)
s_ = dogs.stats()
print(s_)
if len(s_) == 19:
stats.append(np.append(s_, dog["trap"]))
hp.generated_predicts(stats, infos)
break
def make_map(confobj):
df = xr.open_mfdataset(confobj.paths, concat_dim='trajectory')
df = ct.get_pos_function_of_time(confobj.paths)
print(confobj.paths)
lats = df['lat'][:].values
lons = df['lon'][:].values
z = df['z'][:].values
time = df['time'][:].values
if confobj.plot_type == 'animate_particles':
anim = animateScatter.AnimatedScatter(lons, lats, z, time,
confobj.outputPlotFilename)
anim.saveAnim()
if confobj.plot_type == 'plot_particletracks':
trk = tracks.Tracks(lons, lats, z, confobj)
trk.plot_tracks(confobj)
def make_map(confobj,paths,kelpType,type,experiment,polygons):
df = get_pos_function_of_time(paths,kelpType)
lats=df['lat'][:].values
lons=df['lon'][:].values
z=df['z'][:].values
time=df['time'][:].values
if type == 'animate_particles':
figname = r'{}_for_kelp_type_{}_polygons_{}_experiment_{}.mp4'.format(type,kelpType,polygons,experiment)
anim = animateScatter.AnimatedScatter(lons,lats,z,time,figname,confobj)
anim.saveAnim()
if type=='plot_particletracks':
figname = r'{}_for_kelp_type_{}_polygons_{}_experiment_{}.png'.format(type,kelpType,polygons,experiment)
trk = tracks.Tracks(lons,lats,z,figname)
trk.plot_tracks()
plt.show()
Created on Sun May 17 22:19:49 2020
Updated to fix bad calls to audio.play_audio Sat Dec 26 2020
@author: Mike McGurrin
"""
from gpiozero.pins.pigpio import PiGPIOFactory
from gpiozero import Device, Button, DigitalOutputDevice
Device.pin_factory = PiGPIOFactory()
import time
import config as c
import tracks as t
import audio
tracks = t.Tracks()
a = audio.AUDIO()
pir = Button(c.PIR_PIN, pull_up=False)
triggerOut = DigitalOutputDevice(c.TRIGGER_OUT_PIN)
eyesPin = DigitalOutputDevice(c.EYES_PIN)
ambient_interrupt = False # set to True when timer goes off or PIR triggered
trigger_time = time.time()
def event_handler():
c.update()
if c.EYES == 'ON':
eyesPin.on()
if c.TRIGGER_OUT == 'ON':
triggerOut.on()