async calctrimp task using microservice

rowers/rowing_workout_metrics_pb2_grpc.py

@@ -1,7 +1,7 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 import grpc
 
-import rowing_workout_metrics_pb2 as rowing__workout__metrics__pb2
+import rowers.rowing_workout_metrics_pb2 as rowing__workout__metrics__pb2
 
 
 class MetricsStub(object):

rowers/tasks.py

@@ -38,6 +38,8 @@ from matplotlib import path
 import grpc
 import rowers.otw_power_calculator_pb2 as calculator_pb2
 import rowers.otw_power_calculator_pb2_grpc as calculator_pb2_grpc
+import rowers.rowing_workout_metrics_pb2 as metrics_pb2
+import rowers.rowing_workout_metrics_pb2_grpc as metrics_pb2_grpc
 
 from rowsandall_app.settings import SITE_URL
 from rowsandall_app.settings_dev import SITE_URL as SITE_URL_DEV
@@ -609,105 +611,41 @@ def handle_calctrimp(id,
     else:
         engine = create_engine(database_url, echo=False)
 
-    try:
+    tss = 0
-        rowdata = rdata(csvfile=csvfilename)
+    normp = 0
-    except IOError:
+    trimp = 0
+    hrtss = 0
+    normv = 0
+    normw = 0
+
+    with grpc.insecure_channel(
+        target='localhost:50052',
+        options=[('grpc.lb_policy_name', 'pick_first'),
+                 ('grpc.enable_retries', 0), ('grpc.keepalive_timeout_ms',
+                                              10000)]
+        ) as channel:
         try:
-            rowdata = rdata(csvfile=csvfilename + '.csv')
+            grpc.channel_ready_future(channel).result(timeout=10)
-        except IOError:
+        except grpc.FutureTimeoutError:
-            try:
+            return 0
-                rowdata = rdata(csvfile=csvfilename + '.gz')
-            except IOError:
-                return 0
 
-    df = rowdata.df
+        stub = metrics_pb2_grpc.MetricsStub(channel)
-
+        req = metrics_pb2.WorkoutMetricsRequest(
-    try:
+            filename = csvfilename,
-        df['deltat'] = df[' ElapsedTime (sec)'].diff().abs()
+            ftp=ftp,
-    except KeyError:
+            sex=sex,
-        return 0
+            hrftp=hrftp,
-
+            hrmax=hrmax,
-    df2 = df.copy()
+            hrmin=hrmin,
-
-    df2['time'] = df2[' ElapsedTime (sec)']
-    df2['time'] = df2['time'].apply(
-        lambda x:safetimedelta(x)
         )
+        response = stub.CalcMetrics(req,timeout=60)
 
-    duration = df['TimeStamp (sec)'].max()-df['TimeStamp (sec)'].min()
+        tss = response.tss
-    df2 = df2.resample('1s',on='time').mean()
+        normp = response.normp
-    df2.fillna(method='ffill',inplace=True)
+        trimp = response.trimp
-    df2 = df2.rolling(30).mean()
+        normv = response.normv
+        normw = response.normw
 
-    df2[' Power (watts)'] = df2[' Power (watts)'].abs()
-
-    df2['pwr4'] = df2[' Power (watts)']**(4.0)
-    #    pwr4mean = wavg(df,'pwr4','deltat')
-    pwr4mean = df2['pwr4'].mean()
-    pwrmean = df2[' Power (watts)'].mean()
-    # pwrmean = wavg(df,' Power (watts)','deltat')
-    if pwr4mean > 0:
-        normp = (pwr4mean)**(0.25)
-    else:
-        normp = pwrmean
-
-    intensityfactor = normp/float(ftp)
-    tss = 100.*((duration*normp*intensityfactor)/(3600.*ftp))
-
-
-    if sex == 'male':
-        f = 1.92
-    else:
-        f = 1.67
-
-    dt = df['TimeStamp (sec)'].diff()/60.
-
-    hrr = (df[' HRCur (bpm)']-hrmin)/(hrmax-hrmin)
-    hrrftp = (hrftp-hrmin)/float(hrmax-hrmin)
-    trimp1hr = 60.*hrrftp*0.64*np.exp(f*hrrftp)
-
-    trimpdata = dt*hrr*0.64*np.exp(f*hrr)
-    trimp = trimpdata.sum()
-
-    hrtss = 100.*trimp/trimp1hr
-
-    pp = 8.0
-
-    df['v4'] = df[' AverageBoatSpeed (m/s)']**(pp)
-    v4mean = wavg(df,'v4','deltat')
-    normv = v4mean**(1./pp)
-
-    try:
-        df['w4'] = df['driveenergy']**(pp)
-        w4mean = wavg(df,'w4','deltat')
-        normw = w4mean**(1./pp)
-    except KeyError:
-        normw = 0
-
-
-    if not np.isfinite(normv):
-        normv = 500./120.
-
-    if not np.isfinite(normw):
-        normw = 0
-
-    try:
-        dum = int(tss)
-    except ValueError:
-        tss = 0
-
-    try:
-        dum = int(normp)
-    except ValueError:
-        normp = 0
-    try:
-        dump = int(trimp)
-    except ValueError:
-        trimp = 0
-    try:
-        dump = int(hrtss)
-    except ValueError:
-        hrtss = 0
 
     query = 'UPDATE rowers_workout SET rscore = {tss}, normp = {normp}, trimp={trimp}, hrtss={hrtss}, normv={normv}, normw={normw} WHERE id={id}'.format(
         tss = int(tss),