Merge branch 'release/v16.4.7'
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@@ -3045,7 +3045,7 @@ def df_from_summary(data):
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try:
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splits = data['workout']['splits']
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except KeyError: # pragma: no cover
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except (KeyError, TypeError): # pragma: no cover
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splits = [0]
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time = starttimeunix
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elapsed_distance = 0
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@@ -3053,11 +3053,11 @@ def df_from_summary(data):
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distances = [0]
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try:
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spms = [splits[0]['stroke_rate']]
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except KeyError: # pragma: no cover
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except (KeyError, TypeError): # pragma: no cover
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spms = [0]
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try:
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hrs = [splits[0]['heart_rate']['average']]
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except KeyError: # pragma: no cover
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except (KeyError, TypeError): # pragma: no cover
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hrs = [0]
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for split in splits:
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@@ -3068,7 +3068,7 @@ def df_from_summary(data):
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spms.append(split['stroke_rate'])
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try:
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hrs.append(split['heart_rate']['average'])
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except KeyError: # pragma: no cover
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except (KeyError, TypeError): # pragma: no cover
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hrs.append(0)
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df = pd.DataFrame({
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@@ -3161,7 +3161,7 @@ def handle_c2_async_workout(alldata,userid,c2token,c2id,delaysec,defaulttimezone
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if not has_strokedata: # pragma: no cover
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df = df_from_summary(data)
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else:
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dologging('debuglog.log',json.dumps(s.json()))
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#dologging('debuglog.log',json.dumps(s.json()))
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strokedata = pd.DataFrame.from_dict(s.json()['data'])
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@@ -108,6 +108,17 @@
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See which of your workouts are markers of your fitness, and how your scores
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evolve over time.
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</p>
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</li>
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<li class="rounder">
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<h2>Training Zones</h2>
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<a href="/rowers/trainingzones/">
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<div class="vignet">
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<img src="/static/img/zones2.png" alt="Zones">
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</div>
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</a>
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<p>
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See in what training zone you have been training in the past weeks and months.
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</p>
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</li>
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<li class="rounder">
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<h2>Alerts</h2>
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@@ -57,6 +57,11 @@
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<i class="fas fa-star fa-fw"></i> Ranking Pieces
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</a>
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</li>
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<li id="fitness-zones">
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<a href="/rowers/trainingzones/">
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<i class="fas fa-percent fa-fw"></i> Training Zones
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</a>
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</li>
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</ul>
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</li>
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<li class="has-children" id="stats">
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BIN
static/img/zones.png
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static/img/zones.png
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After Width: | Height: | Size: 3.3 KiB |
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static/img/zones2.png
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static/img/zones2.png
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After Width: | Height: | Size: 4.4 KiB |
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