Added mybible

.vscode/launch.json

@@ -0,0 +1,15 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python Debugger: Current File",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal"
+        }
+    ]
+}

extract-text.py

@@ -16,7 +16,7 @@ def extract_text_from_pdf(pdf_path):
     return lines
 
 # Replace 'your_pdf_file.pdf' with the actual path to your PDF file
-pdf_path = '/mnt/c/Projects/telosvertaling/telos_nt.pdf'
+pdf_path = 'telos_nt.pdf'
 extracted_text = extract_text_from_pdf(pdf_path)#.replace('\n', '')
 
 def merge_entries(verse_list):
@@ -110,10 +110,23 @@ df['Chapter'] = df['Chapter'].fillna(method='bfill')
 for book in df['Bookname'].unique():
     df.loc[df['Bookname'] == book, 'Book'] = list(df['Bookname'].unique()).index(book) + 40
 
-df.to_csv('/mnt/c/Projects/telosvertaling/telos.csv', index=False)
+df.to_csv('telos.csv', index=False)
 
-# write to sql database
-df.to_sql('telos', 'sqlite:///telos.db', if_exists='replace', index=False)
+df_details = pd.DataFrame(columns=['Description', 'Abbreviation', 'Comments', 'Version', 'VersionDate', 'PublishDate', 'RightToLeft', 'OT', 'NT', 'Strong'])
+df_details.loc[0] = ['Telos vertaling', 'TELOS', 'Telos from PDF. H. Medema Vaassen, revised from the original Voorhoeve translation from 1877.', '1', '2024-09-29', '1982-01-01', 0, 0, 1, 0]
+
+df['Verse'] = df['Verse'].astype(int)
+df['Chapter'] = df['Chapter'].astype(int)
+df['Book'] = df['Book'].astype(int)
+df['Bookname'] = df['Bookname'].astype(str)
+df['Scripture'] = df['Scripture'].astype(str)
+# Write both dataframes to a single db file
+import sqlite3
+
+conn = sqlite3.connect('telos.mybible')
+df[['Book', 'Chapter', 'Verse', 'Scripture']].to_sql('Scripture', conn, if_exists='replace', index=False)
+df_details.to_sql('Details', conn, if_exists='replace', index=False)
+conn.close()
 
 # with open('/mnt/c/Projects/telosvertaling/merged_entries.txt', 'w', encoding='utf-8') as f:
 #     f.write(str([text for text in merged_entries]))

merged_entries.txt

@@ -1 +0,0 @@
-[]