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47 lines
1.0 KiB
47 lines
1.0 KiB
from collections import OrderedDict
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import pandas as pd
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def get_book_content():
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df = pd.read_csv("test_example.csv", header=None).rename(
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columns={0: 'chapter', 1: 'sentence', 2: 'text'})
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book_dict = OrderedDict()
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for index, row in df.iterrows():
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ch_id = row['chapter']
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s_id = row['sentence']
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text = row['text']
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print(ch_id, " -> ", s_id, " -> ", text)
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if ch_id not in book_dict:
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book_dict[ch_id] = []
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book_dict[ch_id].append(text)
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return book_dict
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def get_book_metadata():
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dict_metadata = {
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"book_id": "abcdef",
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"title": "Bullshit",
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"lang": "en",
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"isTranslation": "true",
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"totalChapters": "2",
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"authors": [
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{
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"name": "Herr Riley",
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"translator": "true"
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},
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{
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"name": "Herr Singh"
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}
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],
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"description": "Some Random Bullshit description",
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"source": "https://www.idontcare.com"
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}
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return dict_metadata
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