Merge branch 'release/v22.1.20'
This commit is contained in:
+7
-3
@@ -766,8 +766,12 @@ def fetchcp_new(rower, workouts):
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if len(data) > 1:
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df = pl.concat(data)
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try:
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df = df.group_by(pl.col("delta")).agg(pl.max("cp"), pl.max("workout"), pl.max("url")).sort("delta")
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#df = df.group_by(pl.col("delta")).agg(pl.max("cp"), pl.max("workout"), pl.max("url")).sort("delta")
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df = df.groupby('delta').agg([
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pl.all().sort_by('cp').last(),
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])
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except (KeyError, ColumnNotFoundError): # pragma: no cover
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return pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64), 0, pl.Series(dtype=pl.Float64), pl.Series(dtype=pl.Float64)
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@@ -1077,7 +1081,7 @@ def checkbreakthrough(w, r):
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r.user.email,
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r.user.first_name,
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r.user.last_name,
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btvalues=btvalues.write_json())
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btvalues=btvalues.write_json(row_oriented=True))
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for coach in r.get_coaches():
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if coach.getemailnotifications and not coach.emailbounced:
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_ = myqueue(queuehigh, handle_sendemail_breakthrough,
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@@ -1085,7 +1089,7 @@ def checkbreakthrough(w, r):
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coach.user.email,
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r.user.first_name,
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r.user.last_name,
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btvalues=btvalues.write_json(),
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btvalues=btvalues.write_json(row_oriented=True),
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surname=True)
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# submit email task to send email about breakthrough workout
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+3
-2
@@ -13,7 +13,7 @@ from scipy import optimize
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import rowingdata
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from rowingdata import rowingdata as rdata
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from rowers.utils import dologging
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from celery import app
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import datetime
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import pytz
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@@ -132,7 +132,8 @@ def send_template_email(from_email, to_email, subject,
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except User.DoesNotExist:
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pass
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except Exception as e:
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pass
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dologging('tasks.log',e)
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if not emailbounced:
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res = msg.send()
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@@ -2160,10 +2160,13 @@ def handle_sendemail_breakthrough(workoutid, useremail,
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surname=False,
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**kwargs):
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dologging('tasks.log',btvalues)
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btvalues = pd.read_json(btvalues)
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try:
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btvalues.sort_values('delta', axis=0, inplace=True)
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except KeyError:
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dologging('tasks.log','KeyError')
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return 0
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lastname = ''
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BIN
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+6
-3
@@ -361,9 +361,12 @@ def isbreakthrough(delta, cpvalues, p0, p1, p2, p3, ratio):
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pwr *= ratio
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delta = delta.cast(pl.Int32)
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cpvalues = cpvalues.cast(pl.Int32)
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pwr = pwr.cast(pl.Int32)
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try:
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delta = delta.cast(pl.Int32)
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cpvalues = cpvalues.cast(pl.Int32)
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pwr = pwr.cast(pl.Int32)
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except:
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return False, pl.DataFrame(), False
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btdf = pl.DataFrame({
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'delta': delta,
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