Add acoustics monitoring

I do not know if I'm doing the right thing. I tried to upload the script "acoustic.py" and I am asked to send a merge request. Is this the correct procedure? @tgal Thank you

scripts/acoustics.py

@@ -24,11 +24,11 @@ from datetime import datetime
 
 import km3pipe as kp
 
-parser = argparse.ArgumentParser(description='Online_monitoring')
-parser.add_argument('-d', dest='det_id', type=str, nargs=1, required=True,
-                    help='The detector ID (e.g. D_ORCA005)')
-parser.add_argument('-o', dest='plot_dir', type=str, nargs=1, required=True,
-                    help='Directory in which the plot is saved')
+parser = argparse.ArgumentParser(description = 'Online_monitoring')
+parser.add_argument('-d', dest = 'det_id', type = str, nargs = 1, required = True,
+                    help = 'The detector ID (e.g. D_ORCA005)')
+parser.add_argument('-o', dest = 'plot_dir', type = str, nargs = 1, required = True,
+                    help = 'Directory in which the plot is saved')
 
 args = parser.parse_args()
 detid = args.det_id[0]
@@ -40,7 +40,7 @@ def diff(first, second):
 
 db = kp.db.DBManager()
 sds = kp.db.StreamDS()
-table=db.run_table(detid)
+table = db.run_table(detid)
 
 
 
@@ -73,7 +73,7 @@ while check:
             for dom in DOMS:
                 try:
                     domID = db.doms.via_omkey((du, dom), detid).dom_id
-                    toas_all = sds.toashort(detid=detid, minrun=minrun, maxrun=maxrun, domid=domID, emitterid=ab) 
+                    toas_all = sds.toashort(detid = detid, minrun = minrun, maxrun = maxrun, domid = domID, emitterid = ab) 
                 
                     QF_abdom = toas_all["QUALITYFACTOR"]
                     UTB_abdom = toas_all["UNIXTIMEBASE"]
@@ -124,7 +124,7 @@ while check:
                     
                     if len(QF_second) > 11:
                         QF_second = np.array(QF_second)
-                        QF_third = [k for k in QF_second if (np.where(QF_second == k)[0][0]<11)]
+                        QF_third = [k for k in QF_second if (np.where(QF_second == k)[0][0] < 11)]
                     else:
                         QF_third = QF_second
                     
@@ -139,11 +139,11 @@ while check:
                         Q.append(np.where(SIGNAL_OLD == QF_fourth[q])[0][0])
                     UTB_fourth = np.array(UTB_SIGNAL.tolist())[Q]
                     UTB_fourth_l = UTB_fourth.tolist()
-                    D=[]
+                    D = []
                     for g in np.arange(len(UTB_fourth_l)):
                         if ((np.mod((UTB_fourth_l[g] - UTB_fourth_l[0]), 5) > 0.5 and np.mod((UTB_fourth_l[g] - UTB_fourth_l[0]), 5) < 4.5) or (np.mod((UTB_fourth_l[g] - UTB_fourth_l[0]), 5)>5)):
                            D.append(g)
-                    for d in sorted(D, reverse=True):
+                    for d in sorted(D, reverse = True):
                         del QF_fourth[d]  
                     QF_fifth = QF_fourth
                     QF_OK = QF_fifth
@@ -229,17 +229,17 @@ while check:
     cbar = plt.colorbar(color)
     cbar.ax.get_yaxis().set_ticks([])
     for j, lab in enumerate(['$0. pings$', '$1-3 pings$', '$4-7 pings$', '$>7. pings$']):
-        cbar.ax.text(3.5, (2 * j + 1)/8.0, lab, ha='center', va='center')
+        cbar.ax.text(3.5, (2 * j + 1)/8.0, lab, ha = 'center', va = 'center')
     cbar.ax.get_yaxis().labelpad = 18
     
-    matplotlib.pyplot.xticks(np.arange(1, 6, step=1))
-    matplotlib.pyplot.yticks(np.arange(0, 19, step=1))
-    matplotlib.pyplot.grid(color='k', linestyle='-', linewidth=0.2)
-    ax.set_xlabel('DUs', fontsize=18)
-    ax.set_ylabel('Floors', fontsize=18)
-    ts = now+3600
+    matplotlib.pyplot.xticks(np.arange(1, 6, step = 1))
+    matplotlib.pyplot.yticks(np.arange(0, 19, step = 1))
+    matplotlib.pyplot.grid(color = 'k', linestyle = '-', linewidth = 0.2)
+    ax.set_xlabel('DUs', fontsize = 18)
+    ax.set_ylabel('Floors', fontsize = 18)
+    ts = now + 3600
     DATE = datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')
-    ax.set_title(r' %.16s Detection of the pings emitted by autonomous beacons' %DATE, fontsize=10)
+    ax.set_title(r' %.16s Detection of the pings emitted by autonomous beacons' %DATE, fontsize = 10)
 #    plt.show()                   
     
     
@@ -258,5 +258,4 @@ while check:
     
     
     time.sleep(abs(TIT - check_time))
-    check = True               
-                
+    check = True