def visualize(run, wheel, sector, station):
identifier, params = buildDicts(run, wheel, sector, station)
data = dataFetch.visualize(identifier, params)
imgBytes = mutliplot.plot(data)
response = make_response(imgBytes.getvalue())
response.headers['Content-Type'] = 'image/png'
return response
def get_adrian(run, wheel, sector, station):
identifier, params = buildDicts(run, wheel, sector, station)
data = dataLoad.get_matrix_from_DB(identifier, params)
imgBytes = a_plot.plot_occupancy_hitmap(
data.get("data")[0].get("matrix"), "title", "a.u.")
response = make_response(imgBytes.getvalue())
response.headers['Content-Type'] = 'image/png'
return response
def runData(run, wheel, sector, station):
identifier, params = buildDicts(run, wheel, sector, station)
data = dataLoad.get_matrix_from_DB(identifier, params)
if (data == None):
return _make_response("Record not found", 404)
else:
if (len(data.get("data")) != 1):
return _make_response(
f"Request with did not return single result. Expected: 1, actual: {len(data.get('data'))}",
500)
return jsonify(data.get("data")[0])
def score():
# body: {
# 'run': '300000',
# 'wheel': '0',
# 'sector': '1',
# 'station': '1',
# 'layers': ['12', '10', '9', '7', '6', '5', '2', '1']
# }
body = request.get_json()
badLayers = list(map(int, body["layers"]))
identifier, params = buildDicts(body["run"], body["wheel"], body["sector"],
body["station"])
return jsonify(dataLoad.update_user_score(identifier, params, badLayers))
def runData(run, wheel, sector, station):
identifier, params = buildDicts(run, wheel, sector, station)
run_data = dataLoad.get_matrix_from_DB(identifier, params)
if (run_data == None):
return _make_response("Record not found", 404)
else:
data = run_data.get("data")
if data == None:
return _make_response(f"Record does not contain any data", 404)
if len(data) != 1:
return _make_response(
f"Request with did not return single result. Expected: 1, actual: {len(data)}",
500)
return jsonify(data[0])
def visualize_raw(run, wheel, sector, station):
identifier, params = buildDicts(run, wheel, sector, station)
data = dataFetch.visualize(identifier, params)
return jsonify([{
k: numpyUtils.to_python_matrix(v)
} for value in data for k, v in value.items()])
def skip(run, wheel, sector, station):
identifier, params = buildDicts(run, wheel, sector, station)
dataLoad.mark_as_skipped(identifier, params)
return get_uncertain_matrix()