def learn():
while len(Chromosome.all()) < 30:
Chromosome().create()
test_set = Match.test_set()
if not test_set:
print('There are no matches to learn from')
return
agent_pool = [Agent(c) for c in Chromosome.all()]
reserve = []
n = 1
with Pool(4) as pool:
while True:
try:
print('Starting Generation {}'.format(n))
start = datetime.now()
for n2, agent in enumerate(agent_pool):
print('Running Agent {}'.format(n2))
guesses = pool.map(agent.guess, test_set)
agent.right = guesses.count(True)
agent.wrong = guesses.count(False)
agent.chromosome.agent_score = agent.accuracy
agent.chromosome.save()
agent_pool.extend(reserve)
agent_pool.sort(key=get_score, reverse=True)
print('Generation took {}'.format(datetime.now() - start))
print('Best Agent: {}% accurate'.format(agent_pool[0].accuracy * 100))
Chromosome.delete_many(ids=[agent.chromosome.id for agent in agent_pool[15:]])
agent_pool = [Agent(agent.chromosome.mutate()) for agent in agent_pool[:15]] # mutate the top half
reserve = agent_pool[:15]
n += 1
except KeyboardInterrupt:
Chromosome.clean() # keep best 15
break
print('Finished learning')
def test_agent_move_south(self):
world = World(10, 5)
agent = Agent(0)
agent.direction = Direction.SOUTH
agent.move = True
world.agents[(0, 4)] = agent
self.assertEqual(world.agents[(0, 4)], agent,
'(0) world incorrectly set agent position')
world.update()
self.assertTrue((0, 4) not in world.agents,
'agent not moved from previous location')
self.assertEqual(world.agents[(0, 3)], agent,
'(1) world incorrectly updated to move agent South')
world.update()
self.assertEqual(world.agents[(0, 2)], agent,
'(2) world incorrectly updated to move agent South')
world.update()
self.assertEqual(world.agents[(0, 1)], agent,
'(3) world incorrectly updated to move agent South')
world.update()
self.assertEqual(world.agents[(0, 0)], agent,
'(4) world incorrectly updated to move agent South')
world.update()
self.assertEqual(
world.agents[(0, 4)], agent,
'(5) world incorrectly updated to move agent South (wrap)')
self.assertEqual(len(world.agents), 1,
'World has incorrect number of agents')
def test_agent_move_east(self):
world = World(5, 10)
agent = Agent(0)
agent.direction = Direction.EAST
agent.move = True
world.agents[(0, 0)] = agent
self.assertEqual(world.agents[(0, 0)], agent,
'(0) world incorrectly set agent position')
world.update()
self.assertTrue((0, 0) not in world.agents,
'agent not moved from previous location')
self.assertEqual(world.agents[(1, 0)], agent,
'(1) world incorrectly updated to move agent East')
world.update()
self.assertEqual(world.agents[(2, 0)], agent,
'(2) world incorrectly updated to move agent East')
world.update()
self.assertEqual(world.agents[(3, 0)], agent,
'(3) world incorrectly updated to move agent East')
world.update()
self.assertEqual(world.agents[(4, 0)], agent,
'(4) world incorrectly updated to move agent East')
world.update()
self.assertEqual(
world.agents[(0, 0)], agent,
'(5) world incorrectly updated to move agent East (wrap)')
self.assertEqual(len(world.agents), 1,
'World has incorrect number of agents')
def GET(self):
#return "development test"
tanggal = web.input().get('d')
if not tanggal:
tanggal = datetime.date.today()
else:
try:
tanggal = datetime.datetime.strptime(tanggal,
"%Y-%m-%d").date()
except:
tanggal = datetime.datetime.strptime(tanggal,
"%d %b %y").date()
HIDE_THIS = [
a.strip() for a in open('HIDE_AWLR.txt').read().split(',')
]
agents = Agent.select(
AND(OR(Agent.q.AgentType == HIDROLOGI, Agent.q.AgentType == 0),
Agent.q.expose == True)).orderBy(["wilayah", "urutan"])
agents = [a for a in agents if a.table_name not in HIDE_THIS]
data = [
Struct(**{
'pos': a,
'tma': Struct(**a.get_segmented_wl(tanggal))
}) for a in agents
]
js = """
<script type="text/javascript">
$(function(){
$('.tanggal').datepicker({dateFormat: 'd M y'});
$('.show-current-date').bind('change', function () {
$(this).parent().submit()});
});
</script>"""
sebelum = tanggal - datetime.timedelta(days=1)
sesudah = tanggal + datetime.timedelta(days=1)
# water level tertinggi
sql = "SELECT MAX(pagi), agent_id, waktu FROM tma"
res = Agent._connection.queryAll(sql)
if res:
try:
(total, agent_id, waktu) = res[0]
tertinggi = Struct(**{
'agent': Agent.get(agent_id),
'total': total,
'waktu': waktu
})
except IndexError:
tertinggi = Struct()
return render.tma.tma_diff(tma=data,
meta={
'now': tanggal.strftime('%d %b %y'),
'before': sebelum.strftime('%d %b %y'),
'after': sesudah.strftime('%d %b %y'),
'tertinggi': tertinggi
},
wilayah=WILAYAH,
js=js)
def GET(self, oid, tahun=None, bulan=None, tgl=None):
try:
bd = Agent.get(oid)
if bd.AgentType != 3:
raise web.notfound(404)
except:
raise web.notfound(404)
if not tgl:
try:
tanggal = datetime.date(int(tahun), int(bulan), 1)
return self.tma_monthly(oid, tahun, bulan)
except:
pass
try:
tanggal = datetime.date(int(tahun), int(bulan), int(tgl))
except:
tanggal = datetime.date.today()
sebelum = tanggal - datetime.timedelta(days=1)
sesudah = tanggal + datetime.timedelta(days=1)
# '#248F8F', '#70DBDB', '#EBFAFA'
try:
bendungan = Agent.get(int(oid))
if bendungan.AgentType != 3:
raise SQLObjectNotFound
except SQLObjectNotFound:
return web.notfound(404)
plotlines = ""
tma = bendungan.get_segmented_tma_bendungan()
series = [float(d[0]) for d in tma.get('kapasitas_series')]
if tma.get('elevasi'):
plotlines = "{ value: " + str(tma.get('elevasi') or 0) + "\
, color: '#cc0000', width: 4, label: {text: '+'"
+str(tma.get('elevasi') or 0) + "} }, "
'''
val_min = min(series, key=lambda x: abs(x - elevasi))
idx = series.index(val_min)
series.insert(idx + 1, {'y': elevasi,
'dataLabels': {
'enabled': 'true',
'style': {'fontSize': 24}
},
'marker':
{'fillColor': '#33CC33', 'radius': 5}})
'''
return render_anon.bendungan.show(
bendungan,
meta={
'now': tanggal.strftime('%d %b %y'),
'before': sebelum.strftime('%d %b %y'),
'after': sesudah.strftime('%d %b %y'),
'categories1':
[float(d[1]) for d in tma.get('kapasitas_series')],
'categories': [],
'series': series,
'plotlines': plotlines,
'tma': tma
})
def populate():
agent_add1 = Agent(name='Test 1',phone='0',postcode='AA1AA1')
agent_add1.save()
agent_add2 = Agent(name='Test 2',phone='1',postcode='AA1AA2')
agent_add2.save()
agent_add3 = Agent(name='Test 3',phone='2',postcode='AA1AA3')
agent_add3.save()
count = 0
artist = 0
agents = [agent_add1,agent_add2,agent_add3]
while count < 1000:
artist = int(artist)
if artist % 5 == 0:
artist += 1
artist = str(art)
ag = agents[count%3]
art = Art(name=str(count), sub_category=str(int(artist)%3), category=str(count%10), artist=artist, price=50, quantity=0, agent=ag)
art.save()
count += 1
def GET(self, pid):
try:
oid = Agent.select(Agent.q.prima_id == pid)[0].AgentId
bd = Agent.get(oid)
if bd.AgentType != 3:
raise web.notfound(404)
except:
raise web.notfound(404)
tanggal = web.input().get('d')
if not tanggal:
tanggal = datetime.date.today()
else:
tanggal = to_date(tanggal)
try:
bendungan = Agent.get(int(oid))
if bendungan.AgentType != 3:
raise SQLObjectNotFound
except SQLObjectNotFound:
return web.notfound(404)
sql = "SELECT SamplingDate, SamplingTime, WLevel, Temperature, Humidity, Rain4 FROM %(table_name)s \
ORDER BY SamplingDate DESC, SamplingTime DESC \
LIMIT 0, 25" % ({
'table_name': bendungan.table_name
})
rst = [(int(r[0].strftime('%s')) + r[1].seconds, r[2], r[3], r[4],
r[5]) for r in bendungan._connection.queryAll(sql)]
latest = {}
if not rst:
sql = "SELECT SamplingDate, SamplingTime, WLevel, Temperature, Humidity, Rain4 FROM %(table_name)s \
ORDER BY SamplingDate, SamplingTime LIMIT 0, 25" % ({
'table_name':
bendungan.table_name
})
rst = [(int(r[0].strftime('%s')) + r[1].seconds, r[2], r[3], r[4],
r[5]) for r in bendungan._connection.queryAll(sql)]
d = rst[0]
samp = datetime.datetime.fromtimestamp(d[0])
if samp.date() == datetime.date.today():
sampling = samp.strftime('%H:%M')
else:
sampling = samp.strftime('%d %b %H:%M')
latest = dict(sampling=sampling,
wlevel=d[1] / 100.0,
temperature=d[2],
humidity=d[3],
sq=d[4])
return render.bendungan.liveprima(bendungan,
meta={
'now':
tanggal.strftime('%d %b %y'),
'tma': rst,
'latest_sampling': latest
})
def create_new_agent():
'''
Create a new Agent
---
tags:
- Agents
parameters:
- name: Agent
in: body
schema:
type: object
properties:
name:
type: string
email:
type: string
phone_number:
type: string
responses:
201:
description: Returns the new Agent
'''
try:
body = request.get_json()
if body is None:
abort(400)
user_input = {
"name": body.get('name', None),
"phone_number": body.get('phone_number', None),
"email": body.get('email', None)
}
agent = Agent(name=user_input['name'],
phone_number=user_input['phone_number'],
email=user_input['email'])
db.session.add(agent)
db.session.commit()
return jsonify({
"success": True,
"result": agent.format(),
"timestamp": time.time()
}), 201
except AuthError:
abort(401)
except Exception as err:
db.session.rollback()
return jsonify({"success": False, "error": str(err)}), 500
finally:
db.session.close()
def upload():
to_load = {}
with open('/tmp/svrdata.pkl', 'rb') as f:
to_load = cPickle.load(f)
for d in to_load.get('pos_to_put', []):
try:
agent = Agent.select(Agent.q.AgentName == d['name'])[0]
except IndexError:
try:
agent = Agent(**d['data'])
# karena 'id'nya tidak standar,
# SQLObject bilang Not Found
except SQLObjectNotFound:
agent = Agent.select(Agent.q.AgentName == d['name'])[0]
# Periksa apakah table pemuat Logs untuk
# pos ini telah tersedia
try:
rs = conn.queryAll("SELECT SamplingDate FROM %s \
LIMIT 0, 1" % (agent.table_name))
except:
rs = conn.queryAll("CREATE TABLE %s \
LIKE tpl_agent" % agent.table_name)
print agent.AgentName
for l in d['logs']:
print '\t', l['SamplingDate'], l['SamplingTime']
sql = "SELECT COUNT(*) FROM %s \
WHERE SamplingDate='%s' AND \
SamplingTime='%s'" % (agent.table_name, l['SamplingDate'],
l['SamplingTime'])
rs = conn.queryAll(sql)
print '\t\trs[0][0]:', rs[0][0]
if rs[0][0] == 0:
sql = "INSERT INTO %s (RID, ReceivedDate, \
ReceivedTime, DataType, StatusPort, \
SamplingDate, SamplingTime, Temperature, \
Humidity, Rain, Rain1, Rain2, Rain3, \
Rain4, WLevel, Wlevel1, WLevel2, \
WLevel3, WLevel4, up_since, sq) VALUES (%s, '%s', \
'%s', %s, '%s', '%s', '%s', %s, %s, \
%s, %s, %s, %s, %s, %s, %s, %s, %s, \
%s, '%s', %s)" % (
agent.table_name, l['RID'], l['ReceivedDate'],
l['ReceivedTime'], l['DataType'], l['StatusPort'],
l['SamplingDate'], l['SamplingTime'], l['Temperature'],
l['Humidity'], l['Rain'], l['Rain1'], l['Rain2'],
l['Rain3'], l['Rain4'], l['WLevel'], l['WLevel1'],
l['WLevel2'], l['WLevel3'], l['WLevel4'], l['up_since'],
l['sq'])
rs = conn.query(sql)
print '\tsaved:', l['SamplingDate'], l['SamplingTime']
del l
def run_single_episode(env: UnityEnvironment,
brain_name,
agent: Agent = None,
train_mode=False,
max_t=2000,
epsilon=0.0):
"""
Execute a single episode
Params
======
env (UnityEnvironment): enviroment
brain_name (string): default brain name
agent (Agent): agent that is responsible for control the actions (if no agent, a random action is chosen)
train_mode (bool): indicate if the environment is on the train mode
max_t (int): max number of steps in each episode
epsilon (float): attenuate the noise applied to the action
Return
======
scores (float): episode scores of all agents
"""
env_info = env.reset(train_mode=train_mode)[brain_name]
num_agents = len(env_info.agents)
action_size = env.brains[brain_name].vector_action_space_size
states = env_info.vector_observations
scores = np.zeros(num_agents) # initialize the score (for each agent)
# Run all the steps of one episode
for time_step in range(1, max_t + 1):
if agent: # if a agent is provide, get all the action (for each agent)
actions = agent.act(states, epsilon=epsilon, add_noise=train_mode)
else: # select a random action (if no agent)
actions = np.random.randn(num_agents, action_size)
actions = np.clip(actions, -1, 1) # all actions between -1 and 1
env_info = env.step(actions)[
brain_name] # send the action to the environment
next_states = env_info.vector_observations # get the next state
rewards = env_info.rewards # get the reward
dones = env_info.local_done # get the done flag
if agent and train_mode: # learn if in train mode
agent.step(states, actions, rewards, next_states, dones, time_step)
states = next_states
scores += rewards # increase the scores (for each agent)
if np.any(dones): # Exit episode if done
break
return scores
def main():
# Initialize world
world = World(5, 5)
world.agents[(0,0)] = Agent()
world.agents[(0,0)].move = True
world.agents[(0,0)].direction = Direction.EAST
world.agents[(3,3)] = Agent()
world.agents[(3,3)].move = True
print('0', world)
# Run simulation
for t in range(1,10):
world.update()
print(t, world)
def GET(self, loc):
agents = dict([(r.table_name, r.AgentId) for r in Agent.select(OR(Agent.q.AgentType==3, Agent.q.AgentType==2))])
if agents.get(loc):
sql = "SELECT SamplingDate, SamplingTime, WLevel/100.0 FROM %s \
ORDER BY SamplingDate DESC, SamplingTime DESC \
LIMIT 0, 1" % loc
rst = conn.queryAll(sql)
if rst:
pos = Agent.get(agents.get(loc))
sampling = datetime.datetime.fromtimestamp(int(rst[0][0].strftime('%s')) + rst[0][1].seconds)
web.header('Content-Type', 'text/plain')
web.header('Access-Control-Allow-Origin', '*')
return pos.cname + '|' + sampling.strftime('%d%b%y|%H:%M') + '|' + 'TMA: %.2f' % (pos.DPL + float(rst[0][2] or 0))
return web.notfound()
def get_command(agent_id):
agent = Agent.query.get(agent_id)
if not agent:
agent = Agent(agent_id)
db.session.add(agent)
db.session.commit()
# Report basic info about the agent
info = request.json
if info:
if 'platform' in info:
agent.operating_system = info['platform']
if 'hostname' in info:
agent.hostname = info['hostname']
if 'username' in info:
agent.username = info['username']
agent.last_online = datetime.now()
agent.remote_ip = request.remote_addr
agent.geolocation = geolocation(agent.remote_ip)
db.session.commit()
# Return pending commands for the agent
cmd_to_run = ''
cmd = agent.commands.order_by(Command.timestamp.desc()).first()
if cmd:
cmd_to_run = cmd.cmdline
db.session.delete(cmd)
db.session.commit()
return cmd_to_run
def GET(self, pid):
try:
pos = Agent.get(pid)
except SQLObjectNotFound:
return web.notfound()
try:
dari = to_date(web.input().dari)
dari = datetime.datetime.combine(dari, datetime.time(7, 0, 0))
hingga = to_date(web.input().hingga)
hingga = datetime.datetime.combine(hingga,
datetime.datetime.now().time())
except:
hingga = datetime.datetime.now()
dari = hingga - datetime.timedelta(days=2)
dari = dari.replace(hour=7, minute=0, second=0)
#print dari, hingga
tma_trend = pos.get_log_tma(dari, hingga)
series = [
'{x: %s, y: %s}' %
(int(a[0].strftime('%s')) + a[1].seconds, float(a[2] or 0) * 0.01)
for a in tma_trend
]
data_series = [{
'nama': pos.cname,
'series': ', '.join(series),
'satuan': 'M'
}]
return render.bendungan.show_tma({
'pos': pos,
'data': data_series,
'dari': dari,
'hingga': hingga
})
def GET(self, oid):
bendung = Agent.get(int(oid))
meta = {
"dari": datetime.date(2017, 1, 1),
"hingga": datetime.date(2017, 3, 1)
}
return render.bendungan.keamanan.index(bendung, meta)
def GET(self):
auth = web.ctx.env.get('HTTP_AUTHORIZATION')
authreq = False
allowed = [(u.username, u.password) for u in Authuser.select()]
if auth is None:
authreq = True
else:
auth = re.sub('^Basic', '', auth)
username, password = base64.decodestring(auth).split(':')
password = md5(password).hexdigest()
if (username, password) in allowed:
if web.input()['what'] == 'pos':
poses = []
for a in Agent.select():
try:
samp_date = a.get_last_log()[5]
samp_time = a.get_last_log()[6]
if type(samp_time) == datetime.timedelta:
samp_time = datetime.datetime.strptime(
str(samp_time), '%H:%M:%S')
last_log = str(samp_date) + ' ' + str(
samp_time.time())
except:
last_log = None
poses.append({'AgentName': a.AgentName,
'md5': md5(
str(a.sqlmeta.asDict())).hexdigest(),
'last_log': last_log})
return json.dumps(poses)
else:
authreq = True
if authreq:
web.header('WWW-Authenticate', 'Basic realm="Remote Data"')
web.ctx.status = '401 unauthorized'
return """<html>
def GET(self, pos_name):
poses = dict([(a.table_name, a.AgentId) for a in Agent.select()])
pos_id = poses.get(pos_name, None)
if pos_id:
return Show().GET(pos_id)
else:
return web.notfound()
def GET(self):
tanggal = web.input().get('d')
if not tanggal:
tanggal = datetime.date.today() - datetime.timedelta(days=1)
else:
try:
tanggal = to_date(tanggal)
except:
tanggal = to_date(tanggal)
HIDE_THIS = [a.strip() for a in open('HIDE_ARR.txt').read().split(',')]
agents = Agent.select(
AND(OR(Agent.q.AgentType == KLIMATOLOGI, Agent.q.AgentType == 0.0),
Agent.q.expose == True)).orderBy((
'wilayah',
'urutan',
))
agents = [a for a in agents if a.table_name not in HIDE_THIS]
data = []
for a in agents:
rain = a.get_segmented_rain(tanggal)
row = {
'pos': a.cname or a.AgentName,
'id': a.AgentId,
'telemetri': rain.get('total'),
'manual': rain.get('manual')
}
data.append(row)
return json.dumps({
'tanggal': tanggal,
'curahhujan': data
},
default=json_serialize)
def add_new_agent(agent_name):
"""
валидация и запись нового контрагента в БД
agent_name (str): имя контрагента из формы на стр. agent_add.html
"""
agent = session.query(Agent).filter_by(name=agent_name).all()
# проверка на наличие контрагента в базе данных
if agent:
eel.alert_message(f'Контрагент "{agent[0].name}" уже сущесвует')
print(f'Контрагент "{agent[0].name}" уже сущесвует')
return False
# валидация имени контрагента
if agent_name:
print(agent_name)
new_agent = Agent(name=agent_name)
session.add(new_agent)
session.commit()
new_agent_id = session.query(Agent).filter_by(
name=agent_name).first().id
eel.alert_message(
f'Добавлен новый контрагент: {agent_name} c id: {new_agent_id}')
print(f'Добавлен новый контрагент: {agent_name} c id: {new_agent_id}')
else:
eel.alert_message(f'Не верное имя агента: {agent_name}')
print(f'Не верное имя агента: {agent_name}')
return False
return True
def run_single_episode(env: UnityEnvironment,
brain_name,
agent: Agent = None,
max_t=1000,
eps=0.,
train_mode=False):
"""
Execute a single episode
Params
======
env (UnityEnvironment): enviroment
brain_name (string): default brain name
agent (Agent): agent that is responsible for control the actions (if no agent, a random action is chosen)
max_t (int): max steps in each episode
train_mode (bool): indicate if the environment is on the train mode
Return
======
score (float): total score of episode
"""
env_info = env.reset(train_mode=train_mode)[brain_name]
action_size = env.brains[brain_name].vector_action_space_size
state = env_info.vector_observations[0]
score = 0
for _ in range(max_t): # Run each step in episode
action = agent.act(state,
eps) if agent else np.random.randint(action_size)
env_info = env.step(action)[
brain_name] # send the action to the environment
next_state = env_info.vector_observations[0] # get the next state
reward = env_info.rewards[0] # get the reward
done = env_info.local_done[0] # get the done flag
if agent and train_mode:
agent.step(state, action, reward, next_state, done)
state = next_state
score += reward
if done: # Exit episode if done
break
return score
def delete(self):
workflow = find_workflow(self.request)
if workflow is None:
self.error(404)
else: # remove from agent workflow sets then delete
for agent in Agent.query(Agent.workflows == workflow.key.id()):
agent.workflows.remove(workflow.key.id())
workflow.key.delete()
def get_command(agent_id):
agent = Agent.query.get(agent_id)
if not agent:
agent = Agent(agent_id)
db.session.add(agent)
db.session.commit()
# Report basic info about the agent
info = request.json
if info:
if 'platform' in info:
agent.operating_system = info['platform']
if 'hostname' in info:
agent.hostname = info['hostname']
if 'username' in info:
agent.username = info['username']
agent.last_online = datetime.now()
agent.remote_ip = request.remote_addr
agent.geolocation = geolocation(agent.remote_ip)
db.session.commit()
# Return pending commands for the agent
cmd_to_run = ''
cmd = agent.commands.order_by(Command.timestamp.desc()).first()
if cmd:
cmd_to_run = cmd.cmdline
db.session.delete(cmd)
db.session.commit()
return cmd_to_run
def main(
env_name, n_epoch, learning_rate, gamma, n_hidden,
seed_val=0, max_steps=1000
):
'''train an a2c network some gym env'''
# define env
env = gym.make(env_name)
env.seed(seed_val)
np.random.seed(seed_val)
torch.manual_seed(seed_val)
# define agent
state_dim, n_actions, action_space_type = get_env_info(env)
agent = Agent(state_dim, n_hidden, n_actions)
optimizer = torch.optim.Adam(agent.parameters(), lr=learning_rate)
# train
log_step = np.zeros((n_epoch,))
log_return = np.zeros((n_epoch,))
log_loss_v = np.zeros((n_epoch,))
log_loss_p = np.zeros((n_epoch,))
for i in range(n_epoch):
cumulative_reward, step, probs, rewards, values = run(
agent, env, gamma=gamma, max_steps=max_steps
)
# update weights
returns = compute_returns(rewards, gamma=gamma, normalize=True)
loss_policy, loss_value = compute_a2c_loss(probs, values, returns)
loss = loss_policy + loss_value
optimizer.zero_grad()
loss.backward()
optimizer.step()
# log message
log_step[i] = step
log_return[i] = cumulative_reward
log_loss_v[i] = loss_value.item()
log_loss_p[i] = loss_policy.item()
if np.mod(i, 10) == 0:
print(
'Epoch : %.3d | R: %.2f, steps: %4d | L: pi: %.2f, V: %.2f' %
(i, log_return[i], log_step[i], log_loss_p[i], log_loss_v[i])
)
# save weights
# ckpt_fname = f'../log/agent-{env_name}-{n_epoch}.pth'
ckpt_fname = f'../log/agent-{env_name}.pth'
torch.save(agent.state_dict(), ckpt_fname)
'''show learning curve: return, steps'''
f, axes = plt.subplots(2, 1, figsize=(7, 7), sharex=True)
axes[0].plot(log_return)
axes[1].plot(log_step)
axes[0].set_title(f'Learning curve: {env_name}')
axes[0].set_ylabel('Return')
axes[1].set_ylabel('#steps')
axes[1].set_xlabel('Epoch')
sns.despine()
f.tight_layout()
f.savefig(f'../figs/lc-{env_name}.png', dpi=120)
def GET(self):
'''Mengambil data Log terakhir dari masing-masing Pos
Pos yang dipilih yang ada LatLonnya'''
data = []
for agent in Agent.select(Agent.q.AgentType == 3):
if agent.get_tma():
data.append(agent.get_tma())
web.header('Content-Type', 'application/json')
return json.dumps(data)
def simple_bandit_experiment():
b = Bandit()
alpha = 0.1
beta = 1.2
print('alpha: {:.2f} beta: {:.2f}\n'.format(alpha, beta))
agent = Agent(b, alpha, beta)
trials = 1000
for _ in range(trials):
agent.run()
df = agent.get_df()
ml = ML(df, 2)
r = ml.ml_estimation()
alpha_hat, beta_hat = r.x
print(r)
fig, ax = plt.subplots(1, 1)
ml.plot_ml(ax, alpha, beta, alpha_hat, beta_hat)
plt.show()
def GET(self):
'''Ringkasan seluruh bendungan hari ini'''
bdgs = Agent.select(Agent.q.AgentType == 3)
nums = bdgs.count()
ids = [b.AgentId for b in bdgs]
today = datetime.date.today()
# mengambil nilai ROTW (Rencana Operasi Tahunan Waduk)
#
sql = "SELECT SUM(po_outflow_q) AS po_outflow, \
SUM(intake_q) AS outflow, SUM(inflow_q) AS inflow, \
SUM(vol6) AS vol6, SUM(po_vol) AS po_vol, \
SUM(po_inflow_q) AS po_inflow_q \
FROM waduk_daily \
WHERE waktu='%s'" % (today)
# mengambil nilai ROTW (Rencana Operasi Tahunan Waduk)
#
jhar = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
waktu_rtow = today.replace(day=15)
if today.day >= 16:
waktu_rtow = today.replace(day=jhar[today.month - 1])
sql2 = "SELECT SUM(po_outflow_q) AS po_outflow, \
SUM(po_vol) AS po_vol, \
SUM(po_inflow_q) AS po_inflow_q \
FROM waduk_daily \
WHERE waktu = '%s'" % (waktu_rtow)
rst = Agent._connection.queryAll(sql)
rst2 = Agent._connection.queryAll(sql2)
rec = rst[0]
rec2 = rst2[0]
real_vol = rec[3] and commify('%d' % (rec[3])) or '-'
rotw_vol = rec2[1] and commify('%d' % (rec2[1])) or '-'
rotw_inflow_q = rec2[2] and commify('%d' % (rec2[2])) or '-'
real_inflow_q = rec[2] and commify('%d' % (rec[2])) or '-'
# total kapasitas volume waduk
tot_vol = commify(int(sum([b.volume for b in bdgs])))
# total luas baku irigasi
tot_lbi = sum([b.lbi for b in bdgs])
all_pos = [{
'id': a.AgentId,
'name': a.cname,
'll': a.ll
} for a in bdgs]
js_foot = """
"""
return render.bendungan.summary({
'nums': nums,
't_vol': tot_vol,
'today': today,
'r_vol': real_vol,
'rotw_vol': rotw_vol,
'po_outflow_q': rec2[0],
'outflow_q': rec[1],
'po_inflow_q': rotw_inflow_q,
'inflow_q': real_inflow_q,
't_lbi': tot_lbi,
'js_foot': js_foot
})
def GET(self, oid):
try:
bendung = Agent.get(int(oid))
except SQLObjectNotFound:
return web.notfound()
inp = web.input()
if inp.get('periode'):
periode = to_date(inp.periode)
else:
periode = datetime.date.today()
if periode.month < 11:
periode = datetime.date(periode.year - 1, 11,
1) # 1 Nop tahun lalu
else:
periode = datetime.date(periode.year, 11, 1)
tanggal = periode
if periode.month > 10:
tanggal = datetime.date(tanggal.year + 1, 11, 1)
if tanggal.year <= 2018:
jhar = [30, 31, 31, 28, 31, 30, 31, 30, 31, 31, 30, 31]
rr = []
for i in range(12):
rr.append(periode.replace(day=1))
rr.append(periode.replace(day=16))
periode += datetime.timedelta(days=jhar[i])
if tanggal.year > 2018:
jhar = [30, 31, 31, 28, 31, 30, 31, 30, 31, 31, 30, 31]
rr = []
for i in range(12):
rr.append(periode.replace(day=15))
rr.append(periode.replace(day=jhar[i]))
periode += datetime.timedelta(days=jhar[i])
sql = "SELECT waktu, po_tma, po_inflow_q, po_inflow_v, \
po_outflow_q, po_outflow_v, \
tma6, vol6, inflow_q, inflow_v, intake_q, intake_v, po_bona, po_bonb, vol_bona, vol_bonb \
FROM waduk_daily \
WHERE waktu IN (%s) AND pos_id=%s \
ORDER BY waktu" % (','.join(["'" + str(i) + "'"
for i in rr]), oid)
rst = Agent._connection.queryAll(sql)
sql_realisasi = "SELECT \
tma6, vol6, inflow_q, inflow_v, intake_q, intake_v \
FROM waduk_daily \
WHERE pos_id=%s AND waktu BETWEEN %s AND %s \
ORDER BY waktu"
meta = {
'rst': rst,
'daily': [],
'dari': periode,
'hingga': periode,
'tanggal': tanggal
}
return render.bendungan.operasi(bendung, meta)
def GET(self):
try:
tanggal = to_date(web.input().get('d'))
except:
tanggal = datetime.date.today()
poses = dict([l.split('\t') for l in open(
'agent_table.txt').readlines()])
agent_klimatologi = [Agent.get(poses.get(a)) for a in KLIMATOLOGI_POS]
agent_klimatologi = [(a, a.get_segmented_klimatologi(tanggal)) for a in agent_klimatologi]
return render.klimatologi.index({'pos': agent_klimatologi, 'tanggal': tanggal, 'sebelum': tanggal - datetime.timedelta(days=1), 'sesudah': tanggal + datetime.timedelta(days=1)})
def GET(self):
HIDE_THIS = [
a.strip() for a in open('HIDE_AWLR.txt').read().split(',')
]
agents = Agent.select(
AND(OR(Agent.q.AgentType == HIDROLOGI, Agent.q.AgentType == 0),
Agent.q.expose == True)).orderBy(["wilayah", "cname"])
agents = [a for a in agents if a.table_name not in HIDE_THIS]
tgl = datetime.date.today()
return render.tma.addt(agents, tgl)
def GET(self, table_name):
'''Masuk ke sini jika authuser.is_admin == 4'''
agent_id = dict([a.split('\t') for a in open('agent_table.txt').readlines()]).get(table_name)
pos = Agent.get(agent_id)
webinput = web.input(sampling=str(datetime.date.today() - datetime.timedelta(days=1)))
tg = datetime.datetime.strptime(webinput.sampling, '%Y-%m-%d').date()
rst = KlimatManual.select(AND(func.YEAR(KlimatManual.q.sampling)==tg.year,
func.MONTH(KlimatManual.q.sampling)==tg.month, KlimatManual.q.agent==agent_id))
return render.adm.klimatologi.show({'tg': tg, 'pos': pos, 'data': rst})
def main(env_name, n_hidden):
'''render the performance of a saved ckpt'''
# define env and agent
env = gym.make(env_name).env
state_dim, n_actions, action_space_type = get_env_info(env)
agent = Agent(state_dim, n_hidden, n_actions)
agent.load_state_dict(torch.load(f'../log/agent-{env_name}.pth'))
agent.eval()
cumulative_reward, step, probs, rewards, values = run(agent,
env,
render=True)
def GET(self, pid):
try:
pos = Agent.get(pid)
except SQLObjectNotFound:
return web.notfound()
hingga = datetime.datetime.now()
dari = hingga - datetime.timedelta(days=3)
tma_trend = pos.get_log_tma(dari, hingga)
series = [(str(a[0]), str(a[1]), float(a[2] or 0) * 0.01)
for a in tma_trend]
return render.tma.show({'pos': pos, 'data': series})
def agents(tenant_id):
if request.method == 'POST':
if isinstance(request.json, type('string')):
request.json = json.loads(request.json)
tenant = Tenant.query.get(tenant_id)
agent = Agent(tenant=tenant, uuid=request.json['uuid'], hostname=request.json['hostname'],
os_version=request.json['os_version'], agent_version=request.json['agent_version'])
#tags = []
#for t in request.json['tags']:
# tag = Tag(name=t["name"], value=t["value"])
# tags.append(tag)
#agent.tags.extend(tags)
db_session.add(agent)
db_session.commit()
return jsonify(agent.as_dict())
else:
agents = Agent.query.filter_by(tenant_id=tenant_id)
agents_dicts = map(Agent.as_dict, agents.all())
return Response(json.dumps(agents_dicts, cls=DateTimeJsonEncoder), mimetype='application/json')
def GET(self):
tanggal = web.input().get('d')
if not tanggal:
tanggal = datetime.date.today()
else:
try:
tanggal = datetime.datetime.strptime(tanggal,
"%Y-%m-%d").date()
except:
tanggal = datetime.datetime.strptime(tanggal,
"%d %b %y").date()
HIDE_THIS = [
a.strip() for a in open('HIDE_AWLR.txt').read().split(',')
]
agents = Agent.select(
AND(OR(Agent.q.AgentType == HIDROLOGI, Agent.q.AgentType == 0),
Agent.q.expose == True)).orderBy(["wilayah", "urutan"])
agents = [a for a in agents if a.table_name not in HIDE_THIS]
data = [
Struct(**{
'pos': a,
'tma': Struct(**a.get_segmented_wl(tanggal))
}) for a in agents
]
js = """
<script type="text/javascript">
$(function(){
$('.tanggal').datepicker({dateFormat: 'd M y'});
$('.show-current-date').bind('change', function () {
$(this).parent().submit()});
});
</script>"""
sebelum = tanggal - datetime.timedelta(days=1)
sesudah = tanggal + datetime.timedelta(days=1)
if web.ctx.env.get('HTTP_X_PJAX') is not None:
return render_plain.tma.index_table(
tma=data,
meta={
'now': tanggal.strftime('%d %b %y'),
'before': sebelum.strftime('%d %b %y'),
'after': sesudah.strftime('%d %b %y')
},
wilayah=WILAYAH)
return render.tma.index(tma=data,
meta={
'now': tanggal.strftime('%d %b %y'),
'before': sebelum.strftime('%d %b %y'),
'after': sesudah.strftime('%d %b %y')
},
wilayah=WILAYAH,
js=js)
def post(self):
workflow = Workflow(**json.decode(self.request.body))
versions = Workflow.query(Workflow.name == workflow.name).order(-Workflow.version).fetch(1)
if any(versions): # bump version to one greater that last known one
workflow.version = versions[0].version + 1
new_key = workflow.put()
logging.info("Create/update: %s", new_key.id())
if any(versions): # replace earlier with this version in relevant agent workflow sets
old_id = versions[0].key.id()
for agent in Agent.query(Agent.trackVersion == True, Agent.workflows == old_id):
agent.workflows.remove(old_id)
agent.workflows.append(new_key.id())
self.redirect('/workflows')
def validate(self, item_type, curuser):
result = True
if not Form.validate(self):
return False
if self.is_ip.data and len(str(self.inn.data)) != 12:
self.inn.errors.append(u"Неверно указан ИНН")
result = False
if (not self.is_ip.data) and len(str(self.inn.data)) != 10:
self.inn.errors.append(u"Неверно указан ИНН")
result = False
if item_type == 'agent':
if Agent.exist_inn(self.inn.data, curuser) and (self.uid.data == ''):
self.inn.errors.append(u"Контрагент с таким ИНН уже создан")
result = False
return result
def heartbeat(id):
key = ndb.Key("Agent",id)
agent = Agent(key=key, agent_id=id, version='0.1', hostname='test', ip='192.168.1.1', updated_at=datetime.datetime.utcnow())
agent.put()
return "OK"
def put(self):
agent = Agent(**json.decode(self.request.body))
agent.put()