Differences

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--- public:watches:watchcheck [04/05/22 10:22 BST] – gm4slv
+++ public:watches:watchcheck [06/03/25 06:49 GMT] (current) – external edit 127.0.0.1
@@ Line 12: / Line 12: @@
 directory. the data from each measurement is stored in a **json** file in the same directory.
+++++ watchcheck.py |
-<code python>
+<file python watchcheck.py>
 #! /usr/bin/env python
@@ Line 210: / Line 210: @@
 menu()
-</code>
+</file>
+++++
 Running it for the first time, with no previous records stored, looks like this:
@@ Line 242: / Line 243: @@
 </code>
-I'll update this once I've done a second measurement, in a day or so....
+Running it again, after only 10 minutes looks like this:
+<code>
+Command > : n
+New
+Current Time = 10:30
+Watch time 10:30
+
+Press enter when seconds = 0
+/05/04 10:30:30
+Delta -30.2 seconds
+First record time  2022/05/04 10:19:30
+First record delta  -30.1799800396
+Previous record time  2022/05/04 10:19:30
+Previous record delta  -30.1799800396
+Latest record time  2022/05/04 10:30:30
+Latest record delta  -30.1998269558
+Overall elapsed time  0:11:00
+Latest elapsed time  0:11:00
+Latest delta change  -0.0198469161987
+Latest elapsed time 660 seconds
+Daily PPM : -30.071
+Daily rate error: -2.6 s/d
+Total Time 660 seconds
+Total error  -0.0198469161987
+Total PPM : -30.071
+Total rate error: -2.6 s/d
+========================================================
+ Delta : -30.2 s | Rate : -2.6 s/d | Average : -2.6 s/d
+========================================================
+</code>
+The ''error_list.json'' file now looks like:
+<code>
+[["2022/05/04 10:19:30", -30.179980039596558], ["2022/05/04 10:30:30", -30.199826955795288]]
+</code>
+There's also a small utility called ''watchstat.py'' that reads the ''error_list.json'' file to calculate and
+display the data
+++++ watchstat.py |
+<file python watchstat.py>
+#! /usr/bin/env python
+## a text-terminal version of the WatchCheck app
+## to track error, daily error rate of timepieces.
+#
+import time
+import datetime
+import json
+def watch_stat():
+    try:
+        saved_error = open('error_list.json')
+        error_list = json.load(saved_error)
+    except:
+        error_list = []
+    if len(error_list) > 1:
+        first_record = error_list[0]
+        latest_record = error_list[-1]
+        previous_record = error_list[-2]
+        first_time = first_record[0]
+        first_delta = first_record[1]
+        latest_time = latest_record[0]
+        latest_delta = latest_record[1]
+        previous_time = previous_record[0]
+        previous_delta = previous_record[1]
+        FMT = '%Y/%m/%d %H:%M:%S'
+        t_latest = datetime.datetime.strptime(latest_time, FMT)
+        t_previous = datetime.datetime.strptime(previous_time, FMT)
+        t_first = datetime.datetime.strptime(first_time, FMT)
+        tdelta = t_latest - t_previous
+        full_delta = t_latest - t_first
+        elapsed_time = tdelta.total_seconds()
+        full_time = full_delta.total_seconds()
+        print "First record time ", first_time
+        print "First record delta ", first_delta
+        print ""
+        print "Previous record time ", previous_time
+        print "Previous record delta ", previous_delta
+        print ""
+        print "Latest record time " , latest_time
+        print "Latest record delta ", latest_delta
+        print ""
+        print "Overall elapsed time ", full_delta
+        print "Latest elapsed time ", tdelta
+        print ""
+        # Current Error rate
+        time_error = latest_delta - previous_delta
+        error_rate = time_error / elapsed_time
+        daily_rate = error_rate * (60*60*24)
+        ppm_daily = error_rate * 1000000
+        # Overall Error rate
+        total_error = latest_delta - first_delta
+        average_error_rate = total_error / full_time
+        average_rate = average_error_rate * (60*60*24)
+        ppm_overall = average_error_rate * 1000000
+        print "Latest delta change ", time_error
+        print "Latest elapsed time %d seconds " % (elapsed_time)
+        print ""
+        print "Daily PPM : %0.3f" % ppm_daily
+        print "Daily rate error: %0.1f s/d " % (daily_rate)
+        print ""
+        print "Total Time %d seconds" % (full_time)
+        print "Total error ", total_error
+        print "Total PPM : %0.3f" % ppm_overall
+        print "Total rate error: %0.1f s/d" % (average_rate)
+        print ""
+        print "========================================================"
+        print " Delta : %0.1f s | Rate : %0.1f s/d | Average : %0.1f s/d" % (latest_delta, daily_rate, average_rate)
+        print "========================================================"
+        print ""
+    else:
+        print "No rate yet"
+watch_stat()
+</file>
+++++
+Running watchstat.py on the newly updated ''error_list.json''
+<code>
+gm4slv@laptop:~/watchcheck_damasko $ python watchstat.py
+First record time  2022/05/04 10:19:30
+First record delta  -30.1799800396
+Previous record time  2022/05/04 10:19:30
+Previous record delta  -30.1799800396
+Latest record time  2022/05/04 10:30:30
+Latest record delta  -30.1998269558
+Overall elapsed time  0:11:00
+Latest elapsed time  0:11:00
+Latest delta change  -0.0198469161987
+Latest elapsed time 660 seconds
+Daily PPM : -30.071
+Daily rate error: -2.6 s/d
+Total Time 660 seconds
+Total error  -0.0198469161987
+Total PPM : -30.071
+Total rate error: -2.6 s/d
+========================================================
+ Delta : -30.2 s | Rate : -2.6 s/d | Average : -2.6 s/d
+========================================================
+</code>
+''watchcheck.py'' also creates a log file on each run.
+<code>
+/05/2022 09:30:30     -30.2           -2.6            -2.6
+</code>
+The fields are "date time", current error, error in seconds per day since last record, average error in seconds per day since the start.
+This mimics the behaviour of the Android Watchcheck app
+{{:public:watches:screenshot_20220504-104043.png?direct&400|}}
  //[[gm4slv@gm4slv.plus.com|John Pumford-Green]] Wed May  4 09:09:09 2022//