46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
import json
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with open("./data/books/log.json", "r", encoding="utf-8") as log_file:
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log_items = json.load(log_file)
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with open("./data/books/log-preprocess.json", "r", encoding="utf-8") as log_file:
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old_log_items = json.load(log_file)[2:]
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for i, item in enumerate(log_items[6:]):
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if "title" in item:
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title = item["title"]
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else:
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title = item["Title"]
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#print(f"Processing '{title}'...")
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for key in ["started", "finished", "added", "read"]:
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keyCap = key.capitalize()
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if (f"date_{key}" not in item and f"Date {keyCap}" not in item) or ( (f"date_{key}" in item and "" == item[f"date_{key}"]) or (f"Date {keyCap}" in item and "" == item[f"Date {keyCap}"])):
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if f"Date {keyCap}" in old_log_items[i]:
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if "" == old_log_items[i][f"Date {keyCap}"]:
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print(
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f"No date_{key} for {title}, and date in old log is empty"
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)
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item[f"date_{key}"] = None
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else:
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print(
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f"No date_{key} for {title}, taking date {old_log_items[i][f'Date {keyCap}']} from old log"
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)
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item[f"date_{key}"] = old_log_items[i][f"Date {keyCap}"]
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else:
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print(
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f"No date_{key} for {title}, no value in old log either."
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)
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item[f"date_{key}"] = None
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log_items[i] = item
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#print(f"Finished processing {title}.")
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with open(f"./data/books/log.json", "w", encoding="utf-8") as log_file:
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json.dump(log_items, log_file, indent=4)
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print(f"Finished processing log.")
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