def v2_runner_on_async_failed(self, result):
host = result._host.get_name()
task = result._task.get_name()
jid = result._result.get('ansible_job_id')
#self.runner_on_async_ok(host, result._result, jid)
#print(json.dums({"{}|{}|{}".format(host.name, task.name, jid):result._result}))
print(json.dums({"{}|{}|{}".format(host, task, jid): result._result}))
def createMachine(self, args, ssh_keys):
start_time = time.time() # for time measurement
# Initiate droplet creation
droplet = self.api.createDroplet(args.region, args.droplet_name, args.droplet_size, args.image, ssh_keys)
droplet_id = droplet["droplet"]["id"]
print('Droplet creation initiated, id={id}'.format(id=droplet_id))
# Wait 20 seconds to allow DigitalOcean to create the droplet
time.sleep(20)
retries = 0
state = dict()
# Periodically check droplet status
while retries < settings.MAX_RETRIES:
state = self.api.status(droplet_id)
status = state["droplet"]["status"]
if status == "new":
print("Droplet not yet active, retrying in 5s")
elif status == "active":
# Machine is up and running!
duration = time.time() - start_time
print("Droplet is up and running! Duration: {time:.0f}s".format(time=duration))
break
else:
print("Droplet has weird status, retrying in 5s:", status, json.dums(state, indent=4))
time.sleep(5)
retries += 1
if not status:
# Failed to create droplet
raise ValueError("failed to create droplet :(")
# Dump droplet state, which can be passed into --debug-state
print(json.dumps(state))
return state
def checkNum(request):
team = Team.objects.get(id_code=request.POST['id_code'])
if checkNum(team,request.POST['number']):
response_data['success'] = 0
response_data['message'] = '号码已存在'
else:
response_data['success'] = 1
return HttpResponse(json.dums(response_data),content_type='application/json')
def v2_runner_on_async_poll(self, result):
host = result._host.get_name()
task = result._task.get_name()
jid = result._result.get('ansible_job_id')
# FIXME, get real clock
clock = 0
#self.runner_on_async_poll(host, result._result, jid, clock)
#print(json.dums({"{}|{}|{}".format(host.name, task.name, jid):result._result}))
print(json.dums({"{}|{}|{}".format(host, task, jid): result._result}))
def action():
query = bottle.request.query.q
article = collection.find_article_by_title(query)
bottle.response.content_type = 'application/json'
if article is None:
return json.dums({'textToSpeech': '404 Not Found'},
index=2,
separators=(',', ':'),
ensure_ascii=False)
return json.dumps({'textToSpeech': article.opening_text},
indent=2,
separators=(',', ': '),
ensure_ascii=False)
def action():
query = bottle.request.query.q
terms = analyse.extractWords(query, wp.FilterWords.excludeParticles)
titles = index.search(terms)
bottle.response.content_type = 'application/json'
if titles is None:
return json.dums({'textToSpeech': 'はい残念みつからないよー'},
index=2,
separators=(',', ':'),
ensure_ascii=False)
return json.dumps({'textToSpeech': 'か'.join(titles)},
indent=2,
separators=(',', ': '),
ensure_ascii=False)
def delete(self, id):
try:
review = models.Review.select().where(
models.Review.created_by==g.user,
models.Review.id==id
).get()
except models.Review.DoesNotExist:
return make_response(json.dums(
{'error': 'That review does not exit or is not editable.'}
), 403)
query = review.delete()
query.execute()
return '', 204, {
'Location': url_for('resources.reviews.reviews')
}
def action():
query = bottle.request.query.q
terms = analyse.extractWords(query)
table1 = index.sortSearchReturnTable(terms)
table2 = indexOpeningText.sortSearchReturnTable(terms)
title = index.returnBestFromTable(index.mergeTable(table1, table2))
bottle.response.content_type = 'application/json'
if title is None:
return json.dums({'textToSpeech': 'はい残念みつからないよー'},
index=2,
separators=(',', ':'),
ensure_ascii=False)
return json.dumps({'textToSpeech': title},
indent=2,
separators=(',', ': '),
ensure_ascii=False)
def action():
query = bottle.request.query.q
terms = analyse.extractWords(query)
ngrams = analyse.divide_ngrams(query)
print('Debug: get document title containing ngrams',
index.ngrams_search(ngrams))
title = index.sortSearch(terms)
bottle.response.content_type = 'application/json'
if title is None:
return json.dums({'textToSpeech': 'はい残念みつからないよー'},
index=2,
separators=(',', ':'),
ensure_ascii=False)
return json.dumps({'textToSpeech': title},
indent=2,
separators=(',', ': '),
ensure_ascii=False)
def put(self, id):
args = self.reqparse.parse_args()
try:
review = models.Review.select().where(
models.Review.created_by==g.user,
models.Review.id==id
).get()
except models.Review.DoesNotExist:
return make_response(json.dums(
{'error': 'That review does not exit or is not editable.'}
), 403)
query = review.update(**args)
query.execute()
review = add_course(review_or_404(id))
return (review, 200, {
'Location': url_for('resources.reviews.review', id=review.id)
})
def send(self):
self.listener.sendMessage(json.dumps(["bet", "processing"]))
itemsToReceive = []
for assetID in self.items:
itemsToReceive.append({
"appid": 440,
"contextid": 2,
"amount": 1,
"assetid": str(assetID).encode("utf-8")
})
self.offerID = self.Bot.Trade().sendOffer(self.Partner, [], itemsToReceive, "Thanks for betting with Saloon.tf!")
if self.offerID:
self.listener.sendMessage(json.dumps(["tradeOffer", self.offerID]))
self.monitor()
else:
self.listener.sendMessage(json.dums(["tradeOffer", False]))
def get(self, request):
"""
通过django的view实现商品列表页
:param request:
:return:
"""
json_list = []
goods = Goods.objects.all()[:10]
for good in goods:
json_dict = {}
json_dict["name"] = good.name
json_dict["category"] = good.category.name
json_dict["market_price"] = good.market_price
json_dict["add_time"] = goos.add_time
json_dict.append(json_dict)
return HttpResponse(json.dums(json_list),
content_type="application/json")
def test_get_active_task():
"""Test of returning active task"""
task_data = json.dums({
"name": "1",
"desc": "2",
"value": 3,
"id": 4,
"category": "5",
"level": 6,
})
save_to_test_file("""{"ACTIVE_TASK":%s}""" % task_data)
tmg = TaskManager(TEST_JSON_FILE)
task_1 = Task(json.loads(task_data))
task_2 = tmg.get_current_task()
assert task_1.id == task_2.id
assert task_1.name == task_2.name
assert task_1.desc == task_2.desc
assert task_1.value == task_2.value
assert task_1.category == task_2.category
assert task_1.level == task_2.level
def createMachine(self, args, ssh_keys):
start_time = time.time() # for time measurement
# Initiate droplet creation
droplet = self.api.createDroplet(args.region, args.droplet_name,
args.droplet_size, args.image,
ssh_keys)
droplet_id = droplet["droplet"]["id"]
print('Droplet creation initiated, id={id}'.format(id=droplet_id))
# Wait 20 seconds to allow DigitalOcean to create the droplet
time.sleep(20)
retries = 0
state = dict()
# Periodically check droplet status
while retries < settings.MAX_RETRIES:
state = self.api.status(droplet_id)
status = state["droplet"]["status"]
if status == "new":
print("Droplet not yet active, retrying in 5s")
elif status == "active":
# Machine is up and running!
duration = time.time() - start_time
print(
"Droplet is up and running! Duration: {time:.0f}s".format(
time=duration))
break
else:
print("Droplet has weird status, retrying in 5s:", status,
json.dums(state, indent=4))
time.sleep(5)
retries += 1
if not status:
# Failed to create droplet
raise ValueError("failed to create droplet :(")
# Dump droplet state, which can be passed into --debug-state
print(json.dumps(state))
return state
def get_user_deals(request, uid):
resp = {}
if request.method != 'GET':
resp['status'] = 1
resp['message'] = 'Wrong http method!'
return HttpResponse(json.dums(resp), content_type='application/json')
user = User.objects.filter(id=uid)
if not user.exists():
resp['status'] = 2
resp['message'] = 'No such user'
return HttpResponse(json.dumps(resp), content_type='application/json')
elif len(user) > 1:
resp['status'] = 3
resp['message'] = 'Too many user found, Impossible!'
return HttpResponse(json.dumps(resp), content_type='application/json')
helper_deals = Deal.objects.filter(helper=user)
needer_deals = Deal.objects.filter(needer=user)
helper_deals_info = []
needer_deals_info = []
for helper_deal in helper_deals:
tmpinfo = helper_deal.to_dict()
tmpinfo['helper'] = helper_deal.helper.to_dict()
tmpinfo['needer'] = helper_deal.needer.to_dict()
helper_deals_info.append(tmpinfo)
for needer_deal in needer_deals:
tmpinfo = needer_deal.to_dict()
tmpinfo['helper'] = needer_deal.helper.to_dict()
tmpinfo['needer'] = needer_deal.needer.to_dict()
needer_deals_info.append(tmpinfo)
resp['status'] = 0
resp['message'] = 'Success!'
resp['data'] = {}
resp['data']['needer_deal'] = needer_deals_info
resp['data']['helper_deal'] = helper_deals_info
return HttpResponse(json.dumps(resp), content_type='application/json')
def modifier(task):
if task.label != label:
return task
if input.get('testPath', ''):
is_wpttest = 'web-platform' in task.task['metadata'][
'name']
is_android = 'android' in task.task['metadata']['name']
gpu_required = False
if (not is_wpttest) and \
('gpu' in task.task['metadata']['name'] or
'webgl' in task.task['metadata']['name'] or
('reftest' in task.task['metadata']['name'] and
'jsreftest' not in task.task['metadata']['name'])):
gpu_required = True
# Create new cmd that runs a test-verify type job
preamble_length = 3
verify_args = [
'--e10s', '--verify', '--total-chunk=1',
'--this-chunk=1'
]
if is_android:
# no --e10s; todo, what about future geckoView?
verify_args.remove('--e10s')
if gpu_required:
verify_args.append('--gpu-required')
if 'testPath' in input:
task.task['payload']['env'][
'MOZHARNESS_TEST_PATHS'] = json.dums({
task.task['extra']['suite']['flavor']:
input['testPath']
})
cmd_parts = task.task['payload']['command']
keep_args = [
'--installer-url', '--download-symbols',
'--test-packages-url'
]
cmd_parts = remove_args_from_command(
cmd_parts, preamble_length, keep_args)
cmd_parts = add_args_to_command(cmd_parts, verify_args)
task.task['payload']['command'] = cmd_parts
# morph the task label to a test-verify job
pc = task.task['metadata']['name'].split('/')
config = pc[-1].split('-')
subtype = ''
symbol = 'TV-bf'
if gpu_required:
subtype = '-gpu'
symbol = 'TVg-bf'
if is_wpttest:
subtype = '-wpt'
symbol = 'TVw-bf'
if not is_android:
subtype = "%s-e10s" % subtype
newlabel = "%s/%s-test-verify%s" % (pc[0], config[0],
subtype)
task.task['metadata']['name'] = newlabel
task.task['tags']['label'] = newlabel
task.task['extra']['index']['rank'] = 0
task.task['extra']['chunks']['current'] = 1
task.task['extra']['chunks']['total'] = 1
task.task['extra']['suite']['name'] = 'test-verify'
task.task['extra']['suite']['flavor'] = 'test-verify'
task.task['extra']['treeherder']['symbol'] = symbol
del task.task['extra']['treeherder']['groupSymbol']
return task
def process_item(self, item, spider): text = json.dums(dict(item),ensure_ascii = False) + "\n"
def __call__(self, heap):
"""
handle heaps. Merge polarization heaps with matching timestamps and pass to output queue.
"""
_log.debug("Unpacking heap")
items = self.ig.update(heap)
if 'data' not in items:
# On first heap only, get number of channels
fft_length = convert48_64(items['fft_length'].value)
nchannels = int((fft_length / 2) + 1)
_log.debug(
"First item - setting data length to {} channels".format(
nchannels))
self.ig.add_item(5640, "data", "", (nchannels, ), dtype="<f")
# Reprocess heap to get data
items = self.ig.update(heap)
_log.debug("Checking missign keys.")
if len(items.keys()) != len(self.ig.items()):
missing_keys = []
for key in self.ig.items():
if key[0] not in items:
missing_keys.append(key[0])
_log.warning(
"Received invalid heap, containing only {} / {} keys. Missign keys:\n {}"
.format(len(items.keys()), len(self.ig.items()),
" \n".join(missing_keys)))
return
_log.debug("No missing keys.")
pol = convert48_64(items["polarization"].value)
nds = convert48_64(items["noise_diode_status"].value)
section_id = self.__group_prefix + "{}_ND_{}".format(pol, nds)
_log.debug("Set section_id: {}".format(section_id))
sampling_rate = float(convert48_64(items["sampling_rate"].value))
fft_length = convert48_64(items["fft_length"].value)
number_of_input_samples = convert48_64(
items["number_of_input_samples"].value)
number_of_saturated_samples = convert48_64(
items["number_of_saturated_samples"].value)
naccumulate = convert48_64(items["naccumulate"].value)
sync_time = convert48_64(items["sync_time"].value)
timestamp_count = convert48_64(items["timestamp_count"].value)
# Integration period does not contain efficiency of sampling as heaps may
# be lost respectively not in this gate
integration_period = (naccumulate * fft_length) / sampling_rate
# The reference time is in the center of the integration # period
reference_time = float(
sync_time) + float(timestamp_count) / sampling_rate + float(
integration_period / 2.)
_log.debug("Set timestamp: {}".format(reference_time))
data = {}
data['timestamp'] = np.array([reference_time])
data['integration_time'] = np.array(
[number_of_input_samples / sampling_rate])
data['saturated_samples'] = np.array([number_of_saturated_samples])
_log.debug("Meta data:\n{}".format(json.dums(data, indent=4)))
data['spectrum'] = items['data'].value
return section_id, data, self.__attributes
