From 3c8f4a28e8885829db36c4168be6c2b7e3fd5c95 Mon Sep 17 00:00:00 2001
From: Gwyn <gwyn@hannay.id.au>
Date: Sun, 24 Oct 2021 09:35:13 +0800
Subject: [PATCH] WIP

---
 .gitignore        |  1 +
 data_functions.py | 32 +++++++++++++++++++++++++------
 main.py           | 49 +++++++++++++++++++++++++++++++++++++----------
 3 files changed, 66 insertions(+), 16 deletions(-)

diff --git a/.gitignore b/.gitignore
index 7e05d62..644d6df 100644
--- a/.gitignore
+++ b/.gitignore
@@ -130,6 +130,7 @@ dmypy.json
 
 ### Working files
 *.csv
+*.json
 
 ### Personal Stuff
 csv/
diff --git a/data_functions.py b/data_functions.py
index bf7e914..9f93d5b 100644
--- a/data_functions.py
+++ b/data_functions.py
@@ -1,4 +1,4 @@
-from datetime import datetime
+from datetime import datetime, timedelta
 
 def process_header(header):
     header = header.lower()
@@ -16,12 +16,14 @@ def process_header(header):
     
     return header
 
-def process_detail(header, detail):
-
+def process_dates(header, detail):
     if header in ('tracking_start', 'tracking_end', 'alarm_scheduled'):
-        detail = datetime.strptime(detail, '%d. %m. %Y %H:%M').strftime('%Y-%m-%d %H:%M')
+        datetime_value = datetime.strptime(detail, '%d. %m. %Y %H:%M')
     
-    return detail
+    if header == 'id':
+        datetime_value = datetime.fromtimestamp(int(detail)/1000)
+
+    return datetime_value
 
 def process_event(event):
     event_parts = event.split('-')
@@ -42,4 +44,22 @@ def process_event(event):
         'event_value': event_value
     }
 
-    return event_dict
\ No newline at end of file
+    return event_dict
+
+def process_actigraphy(time, value, start_time):
+    act_time_part = datetime.strptime(time, '%H:%M').time()
+    start_time_part = start_time.time()
+    start_time_date = start_time.date()
+    next_day_date = start_time_date + timedelta(days = 1)
+
+    if act_time_part > start_time_part:
+        act_datetime = datetime.combine(start_time_date, act_time_part)
+    else:
+        act_datetime = datetime.combine(next_day_date, act_time_part)
+
+    act_dict = {
+        'actigraphic_time': act_datetime.strftime('%Y-%m-%d %H:%M'),
+        'actigraphic_value': value
+    }
+    
+    return act_dict
\ No newline at end of file
diff --git a/main.py b/main.py
index 99246b1..be334a4 100644
--- a/main.py
+++ b/main.py
@@ -1,4 +1,5 @@
 import csv, json, data_functions as df
+from datetime import datetime
 
 # Step 1: Open CSV and read
 # Step 2: Select first row
@@ -28,7 +29,7 @@
 # IF field = Snore: ?
 # IF field = Noise: ?
 # IF field = Cycles: ?
-# IF field = DeepSleep: ? Is this a percent?
+# IF field = DeepSleep: ? Is this a percent?l
 # IF field = LenAdjust: ?
 # IF field = Geo: ?
 # IF field = digit-type: actigraphy, learn about it and how to display
@@ -54,7 +55,6 @@
 
 def conversion(csv_file):
     first_pass = []
-    json_array = []
 
     # read CSV file
     with open(csv_file, encoding='utf-8') as csvf:
@@ -80,25 +80,54 @@ def conversion(csv_file):
                 dictionary = dict(zip_it)
                 first_pass.append(dictionary)
 
-    i = 0
+    json_array = []
     for record in first_pass:
+        events = []
+        actigraphies = []
+
         for key in record:
+            headers = []
+            details = []
             val = record[key]
-            #print("{}: {}".format(key, val))
 
             header = df.process_header(key)
-            print(header)
+            
+            if header in ('id', 'tracking_start', 'tracking_end', 'alarm_scheduled'):
+                datetime_value = df.process_dates(header, val)
+
+                if header == 'id':
+                    id = datetime_value
+                else:
+                    val = datetime.strftime(datetime_value, '%Y-%m-%d %H:%M')
 
             if header.startswith('event'):
                 event = df.process_event(val)
-                print(event)
-
-            #field = df.process_detail(header, val)
-            #print(field)
-            #break
+                header = 'events'
+                events.append(event)
+                val = {header: events}
+            
+            elif header[0].isdigit():
+                actigraphy = df.process_actigraphy(header, val, id)
+                header = 'actigraphy'
+                actigraphies.append(actigraphy)
+                val = {header: actigraphies}
             
+            headers.append(header)
+            details.append(val)
+        
+        zip_it = zip(headers, details)
+        json_array.append(dict(zip_it))
+
         break
 
+    result = [json.dumps(record) for record in json_array]
+
+    # convert Python json_array to JSON String and write to file
+    with open(r'sleep-export.json', 'w', encoding='utf-8') as jsonf:
+        for d in result:
+            jsonf.write(''.join(d))
+            jsonf.write('\n')
+
 csv_file = r'sleep-export.csv'
 
 conversion(csv_file)