53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
# coding: utf8
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from .Sqlite3Helper import Column, DataType
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columns_d = {
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"entry_id": Column("entry_id", DataType.INTEGER, primary_key=True, unique=True),
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"title": Column("title", DataType.BLOB),
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"username": Column("username", DataType.BLOB),
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"password": Column("password", DataType.BLOB),
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"opt": Column("opt", DataType.TEXT),
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"url": Column("url", DataType.BLOB),
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"notes": Column("notes", DataType.BLOB),
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"uuid": Column("uuid", DataType.TEXT, nullable=False),
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"filepath": Column("filepath", DataType.BLOB, nullable=False),
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"path": Column("path", DataType.BLOB),
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"status": Column("status", DataType.TEXT), # 只有三种状态：keep, transfer, delete
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}
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all_columns = [
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columns_d["entry_id"],
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columns_d["title"],
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columns_d["username"],
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columns_d["password"],
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columns_d["opt"],
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columns_d["url"],
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columns_d["notes"],
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columns_d["uuid"],
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columns_d["filepath"],
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columns_d["path"],
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columns_d["status"],
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]
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# 插入数据时使用的列
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insert_columns = all_columns[1:-1]
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# 查询数据时使用的列
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query_columns = [
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columns_d["entry_id"],
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columns_d["title"],
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columns_d["username"],
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columns_d["url"],
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columns_d["status"],
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]
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# 从数据库中读取 UUID 和 文件路径分析相似度
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sim_columns = [
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columns_d["uuid"],
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columns_d["filepath"],
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]
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filepath_col = columns_d["filepath"]
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entry_id_col = columns_d["entry_id"]
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status_col = columns_d["status"]
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