Adding readplan_generator for creating a Bible reading plan

.vscode/launch.json

@@ -19,6 +19,15 @@
             ],
             "console": "integratedTerminal",
             "justMyCode": false
+        },
+        {
+            "name": "C-ReadPlanGenerator",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "herrewebpy/christianity/readplan_generator.py",
+            "args": [],
+            "console": "integratedTerminal",
+            "justMyCode": false
         }
     ]
 }

debug.py

@@ -1,5 +1,8 @@
 #from herrewebpy.bioinformatics import sequence_alignment
 #sequence_alignment.SequenceAlignment(['aa', 'bb', 'cc'],['bb','aa','cc'], ['1','2','3'], ['1','2','3'])
 
-from herrewebpy.firmware_forensics import function_extractor
-function_extractor.FunctionExtractor('', 'ARM_AARCH64')
+#from herrewebpy.firmware_forensics import function_extractor
+#function_extractor.FunctionExtractor('', 'ARM_AARCH64')
+
+from herrewebpy.christianity import readplan_generator
+readplan_generator.generate_readplan()

herrewebpy/christianity/__init__.py

@@ -0,0 +1 @@
+from . import *

herrewebpy/christianity/readplan_generator.py

@@ -0,0 +1,69 @@
+import pythonbible as bible
+import random, argparse, datetime
+import pandas as pd
+
+def generate_readplan(start_date):
+    book_groups = bible.BOOK_GROUPS
+    reading_list = []
+
+    # Drop OLD TESTAMENT and NEW TESTAMENT from book_groups
+    all_books = list(set(book_groups['Old Testament'])) + list(set(book_groups['New Testament']))
+    book_groups.pop('Old Testament', 'New Testament')
+
+    # Randomly order book groups
+    book_groups = dict(sorted(book_groups.items(), key=lambda x: random.random()))
+    
+    for group in book_groups.keys():
+        reading_list.extend(book_groups[group])
+        reading_list = list(set(reading_list))
+
+    # Find missing books in reading_list
+    missing_books = list(set(all_books) - set(reading_list))
+
+    # Randomly order missing books
+    missing_books = sorted(missing_books, key=lambda x: random.random())
+
+    # Insert missing books in reading_list
+    for book in missing_books:
+        reading_list.insert(random.randint(0, len(reading_list)), book)
+
+    total_chapters = sum([bible.get_number_of_chapters(reading_list[i]) for i in range(len(reading_list))])
+    chapters_per_day = total_chapters // 365 + 1
+
+    df = pd.DataFrame(columns=['Book', 'Chapters'])
+    for book in reading_list:
+        df = pd.concat([df, pd.DataFrame({'Book': [book.title], 'Chapters': [bible.get_number_of_chapters(book)]})])
+
+    # Generate a reading plan, by reading 4 chapters per day, until the reading list is empty. Read 4 chapters per day
+    reading_plan_df = pd.DataFrame(columns=['Date', 'Book', 'Start Chapter', 'End Chapter'])
+    date = pd.Timestamp(start_date) # Start date
+
+    for row in df.iterrows():
+        book = row[1]['Book']
+        chapters = row[1]['Chapters']
+        start_chapter = 1
+        end_chapter = min(chapters, start_chapter + chapters_per_day - 1)
+
+        while start_chapter <= chapters:
+            reading_plan_df = pd.concat([reading_plan_df, pd.DataFrame({'Date': [date], 'Book': [book], 'Start Chapter': [start_chapter], 'End Chapter': [end_chapter]})])
+            date += pd.Timedelta(days=1)
+            start_chapter = end_chapter + 1
+            end_chapter = min(chapters, start_chapter + chapters_per_day - 1)
+
+    # Set date as index
+    reading_plan_df.set_index('Date', inplace=True)
+    
+    return reading_plan_df
+
+
+if __name__ == '__main__':
+    # Add start date as argument
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--start_date', help='Start date of the reading plan (YYYY-MM-DD)', required=False, type=str)
+    args = parser.parse_args()
+
+    if not args.start_date:
+        args.start_date = datetime.datetime.now().strftime('%Y-%m-%d')
+
+    reading_list = generate_readplan(start_date=args.start_date)
+    reading_list.to_csv(f'reading_plan_{args.start_date}.csv', index=True)

requirements.txt

@@ -7,4 +7,5 @@ scikit-learn
 capstone
 keystone
 plotly
-BioPython
+BioPython
+pythonbible