def experiment():
form = ExperimentForm()
if request.method == "POST":
if form.validate() == False:
return render_template("experiment.html", form=form)
else:
title = form.title.data
description = form.description.data
etype = form.etype.data
protocol = form.protocol.data
duration = form.duration.data
username = session['username']
user = User.query.filter_by(username=username).first()
exp = Experiment(uid=user.id,
title=title,
duration=duration,
protocol=protocol,
description=description)
db.session.add(exp)
db.session.flush()
session['current_experiment'] = exp.eid
db.session.commit()
print(exp.eid)
return redirect(url_for('node'))
elif request.method == "GET":
return render_template("experiment.html", form=form)
def RunWithPars(pars, uid):
"""
docstring here
:param pars:
:param uid:
"""
startTime = Common.getCurrentTimeMil()
modelsFol = 'SavePath/models/'
if not os.path.exists(config.basedir + '/' + modelsFol):
os.makedirs(config.basedir + '/' + modelsFol)
fname = modelsFol + Common.gen_rnd_filename() + '.pkl'
#ADD Field
pars['pid'] = os.getpid()
e = Experiment()
e.endDateTime = "--RUNNING--"
e.startDateTime = str(startTime)
e.pars = json.dumps(pars)
e.results = ""
e.type = pars['type']
e.expModelsFileName = ''
e.userId = uid
db.session.add(e)
db.session.commit()
ret, expModels = BCC.BCC.RunTests(uid, pars['type'], pars, config.basedir)
pickle.dump(expModels, open(config.basedir + '/' + fname, 'wb'))
if ret is None:
e.delete()
db.session.commit()
else:
endTime = Common.getCurrentTimeMil()
e.endDateTime = str(endTime)
e.startDateTime = str(startTime)
e.pars = json.dumps(pars)
e.expModelsFileName = fname
e.results = json.dumps(ret)
db.session.commit()
for method in ret.keys():
for ds in ret[method].keys():
perfs = ret[method][ds]
ep = ExperimentPrediction()
ep.data = None
ep.datasetName = ds
ep.predResult = json.dumps(perfs)
ep.expId = e.id
ep.predDateTime = e.endDateTime
ep.predType = 0 ###Test with known labels
db.session.add(ep)
db.session.commit()
def experiment_new():
form=ExperimentF(request.form)
if form.cancel.data:
return redirect(url_for('dashboard'))
if form.validate_on_submit():
exp=Experiment()
form.populate_obj(exp)
db_session.add(exp)
db_session.commit()
return redirect(url_for('.experiment_info',expid=exp.id))
else:
return render_template('experiment_edit.html',form=form,type='create',recent=recent.get())
def create_experiment(username, experiment):
author = username
date_time = datetime.now(pytz.timezone(country_timezones["AR"][1]))
resume = json.loads(experiment)["settings"]["a_description"]
status = "created"
e = Experiment(author=author,
experiment=experiment,
date_time=date_time,
resume=resume,
status=status)
e.save()
return e.id
def post(self):
""" Create a new Experiment (with Treatments and Properties) based on
the POSTed form data. The format is as follows:
exp_name = main Experiment name
exp_description = main Experiment description
exp_instructions = Instructions on how to test the treatments to be
given to the participants
exp_device = Which device(s) are allowed for this experiment
treat##_name = the name of treatment ##
treat##_prop##_name = the name of a property to be changed for
treatment ##
treat##_prop##_value = the value that property ## will be set to
for treatment ##
There can be any number of treatments/properties, but there can be no
missing values, (ie: a property name without a value) or the creation
will fail.
"""
experiment = self.parse()
if not experiment:
self.redirect('error')
else:
exp = Experiment()
exp.name = experiment.get('name')
exp.description = experiment.get('description')
exp.instructions = experiment.get('instructions')
exp.device = experiment.get('device')
exp.owner = experiment.get('owner')
exp.experiment_type = experiment.get('experiment_type')
exp.put()
# Adding each treatment in turn
for treatment in experiment.get('treatments'):
t = Treatment(parent=exp.key())
t.name = treatment.get('name')
t.put()
for property in treatment.get('properties'):
p = Property(parent=t.key())
p.name = property.get('name')
p.value = property.get('value')
p.put()
self.redirect('view?exp_key=%s' % exp.key())
def experiment_clone(expid=None):
if not expid:
expid = request.cookies.get('project')
if not expid:
return render_template('error.html',message="Proyecto no seleccionado",recent=recent.get())
expid=int(expid)
exp_=db_session.query(Experiment).get(expid)
if not exp_:
return render_template('error.html',message="Experimento no definido",recent=recent.get())
exp=Experiment()
exp.name="CLONE:"+exp_.name
exp.definition=exp_.definition
exp.description=exp_.description
exp.instructions=exp_.instructions
exp.invitation=exp_.invitation
exp.reinvitation=exp_.reinvitation
db_session.add(exp)
db_session.commit()
return redirect(url_for('.experiment_info',expid=exp.id))
def start_experiment(request):
form = StartExperimentForm(request.POST)
if form.is_valid():
data = form.cleaned_data
experiment = Experiment()
experiment.experiment_type = data.get("type")
experiment.user = request.user
experiment.init()
experiment.self_efficacy = data["self_efficacy"]
experiment.app_efficacy = data["app_efficacy"]
experiment.experiment_efficacy = data["experiment_efficacy"]
experiment.save()
return json_response(success=True, key=experiment.key)
return json_response(success=False)
def copyProjectExperiments(project, new_project):
t_experiments = Experiment.objects.filter(project=project)
for experiment in t_experiments:
new_experiment = Experiment(project=new_project,
name=str(experiment.name),
notes=str(experiment.notes))
new_experiment.save()
t_conditions = Condition.objects.filter(experiment=experiment)
for condition in t_conditions:
new_condition = Condition(experiment=new_experiment,
name=str(condition.name),
notes=str(condition.notes))
new_condition.save()
t_observations = Observation.objects.filter(condition=condition)
for t_observation in t_observations:
new_observation = Observation(
condition=new_condition,
species=t_observation.species,
time=t_observation.time,
value=t_observation.value,
stddev=t_observation.stddev,
steady_state=t_observation.steady_state,
min_steady_state=t_observation.min_steady_state,
max_steady_state=t_observation.max_steady_state)
new_observation.save()
t_treatments = Treatment.objects.filter(condition=condition)
for t_treatment in t_treatments:
new_treatment = Treatment(condition=new_condition,
species=t_treatment.species,
time=t_treatment.time,
value=t_treatment.value)
new_treatment.save()
new_condition.save()
new_experiment.save()
def log_file_analyse():
from models import Experiment, Queue
print("Name:", request.form['name-input'])
print("Tags:", request.form['tags-input'])
print("Notes", request.form['name-input'])
print("Author", request.form['author-input'])
print("Dataset alias", request.form['alias-input'])
print("Dataset:", request.files['datasetInputFile'])
name = request.form['name-input']
tags_s = request.form['tags-input']
notes = request.form['name-input']
authors_s = request.form['author-input']
alias = request.form['alias-input']
file = request.files['datasetInputFile']
tags = tags_s.split(',')
authors = authors_s.split(',')
filename = None
if file.filename == '':
print("PROOOBLEM!!!!")
return redirect(url_for("home"))
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
print("here")
e = Experiment(name=name, data_file_path=filename, authors=authors, tags=tags, notes=notes, alias=alias)
q = Queue(e)
db.session.add(e)
db.session.add(q)
db.session.commit()
print("New task")
queue.create_new_task(q)
return redirect(url_for('queue'))
k_3=2.0, k_4=1.0, K=0.5, Q_K=7.5, k_5=1.0)
ans = get_all_properties(parameters_2)
print(ans)
exit()
# 1. User defines the classes.
# 2. User creates objects from the classes.
# 3. Through inspecting the objects, the databases are created!
# User creates these classes to make a model
lubricant_1 = Lubricant(1, 'ZEPF', True, False, density_liquid=1.125) # Extra table which may not necessarily be there
variable_condition_1 = VariableExperimentalConditions(450, 8, 0.34, 50, 25, 0) # Mandatory columns - variable conditions (conditions)
static_condition_1 = StaticExperimentalConditions(lubricant_1, 'P20', 0.3, # Mandatory columns - static conditions (optimisation_groups)
'AA7075', 0.7, 2, 'AlCrN', 0.2, 0.8)
experiment_1 = Experiment(static_condition_1, variable_condition_1) # NOT REQUIRED (experiments)
parameters_1 = FrictionModelParametersLiquid(mu0_lubricated = 1.69073, # Mandatory columns - parameters (table name taken from class name)
Q_lubricated = 9141.50683, mu0_dry = 10.94225, Q_dry = 9368.85126,
eta_0 = 0.12, Q_eta = 11930, lambda_1 = 40.70, lambda_2 = 1.55, c = 0.00847,
k_1 = 1.52, k_2 = 2.67, k_3 = 4.58)
##########################################
####### Dynamic creation of tables #######
##########################################
# Try to delete existing table (for test purposes)
try:
os.remove("friction_model.db")
except:
print("Removal of database failed")
def main():
user = User()
datasets = []
experiments = []
invalid_sensors_error = False
file_paths = user.choose_files()
###Dataset Creation
for i, path in enumerate(file_paths):
dataset = Dataset(path)
if (len(dataset.invalid_sensors()) == 0):
datasets.append(dataset)
logger.info("All sensors OK in file {}".format(i))
else:
dataset.report_invalid_sensors()
invalid_sensors_error = True
if invalid_sensors_error:
print(
"Please check if the column names of the CSV files are spelled correctly! If they are correct, please add the new sensors in the database!"
)
return
logger.print_chosen_files(file_paths)
logger.print_available_rocks(api_handler.rocks)
for i, dataset in enumerate(datasets):
experiment = Experiment(dataset)
experiment.rock_id = user.choose_rock(dataset.filepath)
experiment.description = user.write_description()
experiment.start_time = user.set_date()
dataset.calculate_checksum()
experiments.append(experiment)
chunk_size = 500000
while True:
experiment_addded = False
continue_with_upload = user.continue_with_upload()
if continue_with_upload:
try:
for experiment in experiments:
logger.success("\n\nUploading file {}.".format(
experiment.dataset.filepath))
nr_of_chunks = experiment.dataset.file_length // chunk_size if experiment.dataset.file_length % chunk_size == 0 else experiment.dataset.file_length // chunk_size + 1
with open(experiment.dataset.filepath) as f:
for i in tqdm(range(nr_of_chunks)):
chunk_response = api_handler.send_file_chunk(
experiment, f, chunk_size=chunk_size)
if chunk_response.text == 'DATASET_ALREADY_IN_DB':
logger.error(
"\n\nThis dataset is already stored in database! Stopping upload!"
)
break
if chunk_response.text == 'DATASET_ALREADY_IN_DB':
continue
metadata_response = api_handler.send_metadata(experiment)
if metadata_response.text == "METADATA_RECEIVED":
logger.success("File {} uploaded!".format(
experiment.dataset.filepath))
add_experiment_response = api_handler.add_experiment(
experiment)
if add_experiment_response.text == 'EXPERIMENT_BEING_ADDED_TO_THE_DB':
logger.success(
"The uploaded dataset is being written in the database. It may take some time. You can check its progress in the web application!"
)
else:
print(
"An error occred while inserting the dataset in the database!"
)
except Exception as exc:
logger.error("ERROR: " + str(exc))
logger.input("Press Enter to continue!")
break
elif continue_with_upload == False:
exit()
def get_qubit_mapping(version: str) -> Dict[str, int]:
mapping = {}
if version == "V1.0":
mapping["a1"] = 2
mapping["a2"] = 4
mapping["b1"] = 0
mapping["b2"] = 3
if version == "V1.1":
mapping["a1"] = 2
mapping["a2"] = 1
mapping["b1"] = 3
mapping["b2"] = 0
return mapping
if __name__ == "__main__":
credentials = interfaces.ApiCredentials()
Q_program: QuantumProgram = QuantumProgram()
Q_program.set_api(credentials.GetToken(), credentials.GetApiUri())
experiment = Experiment("draper", "local_qasm_simulator", "V1.1",
get_qubit_mapping("V1.1"), algorithm_prime)
qasm, qobj, output = create_experiment(Q_program, "0b11", "0b01",
experiment)
print(qasm)
from models import Experiment
Experiment(hit_id="test",
experiment_name="test",
num_subjects_total=5,
num_rounds_per_subject=5,
active=True,
base_price_cents=5).put()
