Judah
fc86a09bbf
I added converter tools and a download task to make. This ensures I can distribute the program without running into legal issues about distributin the ESV.
177 lines
2.8 KiB
Python
Executable File
177 lines
2.8 KiB
Python
Executable File
#!/usr/bin/env python3
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import json
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import pandas
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import re
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import os
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titles = [
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"Genesis",
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"Exodus",
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"Leviticus",
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"Numbers",
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"Deuteronomy",
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"Joshua",
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"Judges",
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"Ruth",
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"1 Samuel",
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"2 Samuel",
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"1 Kings",
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"2 Kings",
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"1 Chronicles",
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"2 Chronicles",
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"Ezra",
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"Nehemiah",
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"Esther",
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"Job",
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"Psalms",
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"Proverbs",
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"Ecclesiastes",
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"Song of Solomon",
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"Isaiah",
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"Jeremiah",
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"Lamentations",
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"Ezekiel",
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"Daniel",
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"Hosea",
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"Joel",
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"Amos",
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"Obadiah",
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"Jonah",
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"Micah",
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"Nahum",
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"Habakkuk",
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"Zephaniah",
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"Haggai",
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"Zechariah",
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"Malachi",
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"Matthew",
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"Mark",
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"Luke",
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"John",
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"The Acts",
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"Romans",
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"1 Corinthians",
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"2 Corinthians",
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"Galatians",
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"Ephesians",
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"Philippians",
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"Colossians",
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"1 Thessalonians",
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"2 Thessalonians",
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"1 Timothy",
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"2 Timothy",
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"Titus",
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"Philemon",
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"Hebrews",
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"James",
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"1 Peter",
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"2 Peter",
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"1 John",
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"2 John",
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"3 John",
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"Jude",
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"Revelation"
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]
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abbreviations = [
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"Ge",
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"Exo",
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"Lev",
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"Num",
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"Deu",
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"Josh",
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"Jdgs",
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"Ruth",
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"1Sm",
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"2Sm",
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"1Ki",
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"2Ki",
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"1Chr",
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"2Chr",
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"Ezra",
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"Neh",
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"Est",
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"Job",
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"Psa",
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"Prv",
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"Eccl",
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"SSol",
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"Isa",
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"Jer",
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"Lam",
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"Eze",
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"Dan",
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"Hos",
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"Joel",
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"Amos",
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"Obad",
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"Jonah",
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"Mic",
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"Nahum",
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"Hab",
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"Zep",
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"Hag",
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"Zec",
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"Mal",
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"Mat",
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"Mark",
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"Luke",
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"John",
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"Acts",
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"Rom",
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"1Cor",
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"2Cor",
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"Gal",
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"Eph",
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"Phi",
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"Col",
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"1Th",
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"2Th",
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"1Tim",
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"2Tim",
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"Titus",
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"Phmn",
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"Heb",
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"Jas",
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"1Pet",
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"2Pet",
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"1Jn",
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"2Jn",
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"3Jn",
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"Jude",
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"Rev"
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]
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f = open('ESV.json')
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json_list = json.load(f)
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# The keys we need to extract from the json data
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key_list = ['book', 'chapter', 'verse', 'text']
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json_list = [{k:d[k] for k in key_list} for d in json_list]
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df = pandas.json_normalize(json_list)
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# Function to get book name
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def get_name(row):
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index = int(row["book"]) - 1
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return abbreviations[index], titles[index]
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df.insert(0, "name", '')
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df.insert(0, "abbrev", '')
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df[["name", "abbrev"]] = df.apply(get_name, axis=1, result_type='expand')
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export_csv = df.to_csv('esv.tsv',
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sep='\t',
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encoding='utf-8',
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header=False,
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index=None)
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# Sanity check the size of the file.
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file_stats = os.stat("esv.tsv")
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if file_stats.st_size != 4616589:
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print("Warning: File appears different from recorded value")
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print("Recorded value: 4616589")
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print("Found value: ", file_stats.st_size)
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else:
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print("Convertion successful!")
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