some attempts ti analyse data

emfit/__init__.py

@@ -43,7 +43,7 @@ class Emfit:
     def epochs(self):
         return self.jj['sleep_epoch_datapoints']
 
-    @property
+    @property # type: ignore
     @lru_cache()
     def sleep_start(self) -> datetime:
         for [ts, e] in self.epochs:
@@ -52,7 +52,7 @@ class Emfit:
             return fromts(ts)
         raise RuntimeError
 
-    @property
+    @property # type: ignore
     @lru_cache()
     def sleep_end(self) -> datetime:
         for [ts, e] in reversed(self.epochs):
@@ -79,9 +79,17 @@ class Emfit:
 
     @property
     def summary(self):
-        return f"for {hhmm(self.sleep_minutes)} hrv: [{self.hrv_morning:.0f} {self.hrv_evening:.0f} {self.hrv_morning - self.hrv_evening:3.0f} {self.hrv_lf}/{self.hrv_hf}]"
+        return f"""
+slept for {hhmm(self.sleep_minutes)}
+hrv morning: {self.hrv_morning:.0f}
+hrv evening: {self.hrv_evening:.0f}
+recovery: {self.hrv_morning - self.hrv_evening:3.0f}
+{self.hrv_lf}/{self.hrv_hf}""".replace('\n', ' ')
 
 
+    def __str__(self) -> str:
+        return f"from {self.sleep_start} to {self.sleep_end}"
+
 # measured_datapoints
 # [[timestamp, pulse, breath?, ??? hrv?]] # every 4 seconds?
     @property
@@ -117,6 +125,10 @@ class Emfit:
             res.append(rmssd)
         return tss, res
 
+    @property
+    def measured_hr_avg(self):
+        return self.jj["measured_hr_avg"]
+
     @property
     def sleep_hr_coverage(self):
         tss, hrs = self.sleep_hr

emfit/__main__.py

@@ -0,0 +1,23 @@
+from emfit import get_datas
+
+for e in get_datas():
+    # print("-------")
+    print(f"{e.end} {e.measured_hr_avg} {e.summary}")
+
+
+# TODO get average HR
+# TODO get 'quality', that is amount of time it actually had signal
+
+from kython.plotting import plot_timestamped
+everything = get_datas()
+tss = [e.end for e in everything]
+hrs = [e.measured_hr_avg for e in everything]
+
+plot_timestamped(
+    tss,
+    hrs,
+    ratio=(15, 3),
+    mavgs=[(5, 'blue'), (10, 'green')],
+    marker='.',
+    ylimits=[40, 70],
+   ).savefig('hrs.png')

plot.py

@@ -1,8 +1,11 @@
+#!/usr/bin/env python3
 import matplotlib.dates as md # type: ignore
 import numpy as np # type: ignore
 import seaborn as sns # type: ignore
 import matplotlib.pyplot as plt
 
+from emfit import get_datas
+
 
 def plot_file(jj: str):
     pts = jj['sleep_epoch_datapoints']
@@ -87,6 +90,7 @@ def plot_recovery_vs_hr_percentage():
     plt.show()
 
 
+# TODO ah. it's only last segment?
 def plot_hr():
     jj = get_datas()[-1]
     tss, uu = jj.sleep_hr
@@ -94,7 +98,19 @@ def plot_hr():
     uu = uu[::10]
     plt.figure(figsize=(15,4))
     ax = sns.pointplot(tss, uu, markers=" ")
-    ax.set(ylim=(None, 1000))
+    # TODO wtf is that/??
+    ax.set(ylim=(None, 200))
+
+    plt.show()
+
+def plot_hr_trend():
+    everything = get_datas()
+    tss = [e.end for e in everything]
+    hrs = [e.measured_hr_avg for e in everything]
+    plt.figure(figsize=(15,4))
+    ax = sns.pointplot(tss, hrs) # , markers=" ")
+    # TODO wtf is that/??
+    ax.set(ylim=(None, 70))
 
     plt.show()
 
@@ -111,6 +127,7 @@ def plot_hr():
 # stats()
 # plot_recovery_vs_hr_percentage()
 # stats()
+plot_hr_trend()
 # import matplotlib
 # matplotlib.use('Agg')
 

run

@@ -0,0 +1,2 @@
+#!/bin/bash
+python3 -m emfit

test.py

@@ -0,0 +1,5 @@
+#!/usr/bin/env python3
+from emfit import get_datas
+
+for d in get_datas():
+    print(d)