feat: use korea vps as DB
This commit is contained in:
biggerfish
parent
9e556f5e15
commit
c1b2c52a82
@ -1,9 +1,9 @@
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'''
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"""
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根据读取的照片信息分类照片
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分类:
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目录名:2020\01
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文件名:2020-01-时间戳
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'''
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"""
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import os
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import sys
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@ -18,16 +18,16 @@ import pytz
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from win32com.propsys import propsys, pscon
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class Classifier1():
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mode = 'prod' # 开发模式(dev)还是产品模式(prod)
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IMAGE_EXTENTIONS = ['jpg', 'jpeg', 'bmp', 'png', 'tif', 'gif', 'heic']
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VIDEO_EXTENTIONS = ['mp4', 'avi', 'rmvb', 'mkv', 'mov', 'amr', 'mpg']
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TEST_TABLE = 'TEST_PHOTO'
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TABLE = 'PHOTO'
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PHOTO_NO_DATE_KEYS = ['EXIF ExifVersion']
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PHOTO_DATE_KEYS = ['Image DateTime', 'EXIF DateTimeOriginal']
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class Classifier1:
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mode = "prod" # 开发模式(dev)还是产品模式(prod)
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IMAGE_EXTENTIONS = ["jpg", "jpeg", "bmp", "png", "tif", "gif", "heic"]
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VIDEO_EXTENTIONS = ["mp4", "avi", "rmvb", "mkv", "mov", "amr", "mpg"]
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TEST_TABLE = "TEST_PHOTO"
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TABLE = "PHOTO"
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PHOTO_NO_DATE_KEYS = ["EXIF ExifVersion"]
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PHOTO_DATE_KEYS = ["Image DateTime", "EXIF DateTimeOriginal"]
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PHOTO_EXIF_KEYS = PHOTO_NO_DATE_KEYS + PHOTO_DATE_KEYS
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SKIP_FOLDERS = ['System Volume Information', '$RECYCLE.BIN', '.stfolder']
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SKIP_FOLDERS = ["System Volume Information", "$RECYCLE.BIN", ".stfolder"]
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def __init__(self, input_folder, photo_output, video_output, image_output):
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self.input = input_folder
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@ -35,11 +35,17 @@ class Classifier1():
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self.video_output = video_output
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self.image_output = image_output
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self.processed_count = 0
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self.table = self.TEST_TABLE if self.mode == 'dev' else self.TABLE
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self.table = self.TEST_TABLE if self.mode == "dev" else self.TABLE
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pass
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def connect_database(self):
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self.db = pymysql.connect(host='northflyfish.myqnapcloud.cn', user='admin', password='zhiyong@214', database='photo_classifier', port=3307)
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self.db = pymysql.connect(
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host="northflyfish.myqnapcloud.cn",
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user="admin",
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password="zhiyong@214",
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database="photo_classifier",
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port=3307,
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)
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def close_database(self):
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self.db.close()
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@ -48,17 +54,19 @@ class Classifier1():
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self.connect_database()
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cursor = self.db.cursor()
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sql = 'DROP TABLE IF EXISTS {}'.format(self.table)
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sql = "DROP TABLE IF EXISTS {}".format(self.table)
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cursor.execute(sql)
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print('删除表 {}'.format(self.table))
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print("删除表 {}".format(self.table))
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sql = '''CREATE TABLE {} (
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sql = """CREATE TABLE {} (
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ID INT NOT NULL AUTO_INCREMENT ,
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MD5 VARCHAR(255) NOT NULL ,
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PRIMARY KEY (ID), UNIQUE (MD5))
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ENGINE = InnoDB;'''.format(self.table)
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ENGINE = InnoDB;""".format(
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self.table
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)
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cursor.execute(sql)
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print('创建表 {}'.format(self.table))
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print("创建表 {}".format(self.table))
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self.close_database()
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@ -70,12 +78,12 @@ class Classifier1():
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def get_file_count(self, folder):
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count = 0
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for (_, _, _files) in os.walk(folder):
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for _, _, _files in os.walk(folder):
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count += len(_files)
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return count
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def delete_folders(self, folder):
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for (root, dirs, files) in os.walk(folder):
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for root, dirs, files in os.walk(folder):
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for dir in dirs:
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if dir in self.SKIP_FOLDERS:
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continue
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@ -83,7 +91,7 @@ class Classifier1():
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if os.path.isdir(abs_path):
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if self.get_file_count(abs_path) == 0:
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shutil.rmtree(abs_path)
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print('删除目录: {}'.format(abs_path))
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print("删除目录: {}".format(abs_path))
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def is_photo(self, file_name):
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return self.is_image(file_name) and self.contains_exif(file_name)
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@ -101,18 +109,18 @@ class Classifier1():
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return False
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def contains_exif(self, file_name):
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with open(file_name, 'rb') as reader:
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with open(file_name, "rb") as reader:
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tags = exifread.process_file(reader)
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keys = [key for key in self.PHOTO_EXIF_KEYS if key in tags]
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return len(keys) > 0
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def process_folder(self, folder):
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for (root, dirs, files) in os.walk(folder):
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for root, dirs, files in os.walk(folder):
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for file in files:
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self.process_file(root, file)
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def get_md5(self, file):
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with open(file, 'rb') as reader:
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with open(file, "rb") as reader:
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return hashlib.md5(reader.read()).hexdigest()
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def process_file(self, root, file):
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@ -125,11 +133,13 @@ class Classifier1():
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new_name = self.rename_move(file_path, year, month, day, md5)
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self.add_record(md5)
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self.processed_count += 1
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print('已处理 {}: {} --> {}'.format(self.processed_count, file, new_name))
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print(
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"已处理 {}: {} --> {}".format(self.processed_count, file, new_name)
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)
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except Exception as e:
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print(str(e))
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else:
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print('非图片或视频, 忽略文件: {}'.format(file_path))
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print("非图片或视频, 忽略文件: {}".format(file_path))
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def add_record(self, md5):
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try:
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@ -138,7 +148,7 @@ class Classifier1():
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cursor.execute(sql)
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self.db.commit()
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except Exception as e:
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print('插入记录 {} 到数据库photo_classifier失败: {}'.format(md5, str(e)))
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print("插入记录 {} 到数据库photo_classifier失败: {}".format(md5, str(e)))
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self.db.rollback()
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raise e
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@ -149,24 +159,24 @@ class Classifier1():
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sql = "SELECT MD5 FROM {} WHERE MD5='{}'".format(self.table, md5)
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cursor.execute(sql)
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record = cursor.fetchone()
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if str(record) != 'None':
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if str(record) != "None":
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os.remove(file_path)
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raise Exception('重复文件 {} --> 删除'.format(file_path))
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raise Exception("重复文件 {} --> 删除".format(file_path))
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except Exception as e:
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raise e
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if (not self.is_image(file_path)) and (not self.is_video(file_path)):
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raise Exception('非图片或视频: {} --> 跳过'.format(file_path))
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raise Exception("非图片或视频: {} --> 跳过".format(file_path))
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def get_photo_create_date(self, file):
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with open(file, 'rb') as reader:
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with open(file, "rb") as reader:
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tags = exifread.process_file(reader)
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keys = [key for key in self.PHOTO_DATE_KEYS if key in tags]
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if len(keys) > 0:
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key = keys[0]
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origin_date = tags[key]
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time_str = str(origin_date)
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_date = time_str[:10].split(':')
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_date = time_str[:10].split(":")
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year = _date[0]
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month = _date[1]
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day = _date[2]
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@ -177,8 +187,8 @@ class Classifier1():
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try:
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properties = propsys.SHGetPropertyStoreFromParsingName(file)
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dt = properties.GetValue(pscon.PKEY_Media_DateEncoded).GetValue()
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time_str = str(dt.astimezone(pytz.timezone('Asia/Shanghai')))
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_date = time_str[:10].split('-')
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time_str = str(dt.astimezone(pytz.timezone("Asia/Shanghai")))
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_date = time_str[:10].split("-")
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year = _date[0]
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month = _date[1]
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day = _date[2]
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@ -187,7 +197,7 @@ class Classifier1():
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return None
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def read_date(self, file):
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file = file.replace('/', '\\')
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file = file.replace("/", "\\")
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date = None
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if self.is_photo(file):
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date = self.get_photo_create_date(file) # 照片可能没有EXIF日期
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@ -197,7 +207,7 @@ class Classifier1():
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if not date: # 获取文件上次修改日期
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time_str = os.path.getmtime(file)
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time_str = str(datetime.datetime.fromtimestamp(time_str))
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_date = time_str[:10].split('-')
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_date = time_str[:10].split("-")
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year = _date[0]
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month = _date[1]
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day = _date[2]
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@ -213,23 +223,24 @@ class Classifier1():
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elif self.is_video(file_path):
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output = self.video_output
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else:
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raise Exception('移动文件失败, 非图片或视频: {}'.format(file_path))
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raise Exception("移动文件失败, 非图片或视频: {}".format(file_path))
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new_path = os.path.join(output, year, month, day)
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if not os.path.exists(new_path):
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os.makedirs(new_path)
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file_name, file_ext = os.path.splitext(file_path)
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new_name = year + '-' + month + '-' + day + '-' + md5 + file_ext
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new_name = year + "-" + month + "-" + day + "-" + md5 + file_ext
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shutil.move(file_path, os.path.join(new_path, new_name))
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return new_name
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cf = Classifier1(
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input_folder='D:/待分类照片视频1',
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input_folder="D:/待分类照片视频1",
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# input_folder='z:/待分类照片视频/Picture',
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photo_output='D:/总仓库-照片视频1/总照片备份',
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video_output='D:/总仓库-照片视频1/总视频备份',
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image_output='D:/总仓库-照片视频1/总图片备份')
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photo_output="D:/总仓库-照片视频1/总照片备份",
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video_output="D:/总仓库-照片视频1/总视频备份",
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image_output="D:/总仓库-照片视频1/总图片备份",
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)
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cf.start()
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# cf.create_table()
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@ -1,9 +1,9 @@
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'''
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"""
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根据读取的照片信息分类照片
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分类:
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目录名:2020\01
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文件名:2020-01-时间戳
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'''
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"""
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import os
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import sys
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@ -17,17 +17,19 @@ import datetime
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import pytz
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from win32com.propsys import propsys, pscon
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# 使用韩国oracle 数据库
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class Classifier():
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mode = 'prod' # 开发模式(dev)还是产品模式(prod)
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IMAGE_EXTENTIONS = ['jpg', 'jpeg', 'bmp', 'png', 'tif', 'gif', 'heic']
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VIDEO_EXTENTIONS = ['mp4', 'avi', 'rmvb', 'mkv', 'mov', 'amr', 'mpg']
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TEST_TABLE = 'TEST_PHOTO'
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TABLE = 'PHOTO'
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PHOTO_NO_DATE_KEYS = ['EXIF ExifVersion']
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PHOTO_DATE_KEYS = ['Image DateTime', 'EXIF DateTimeOriginal']
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class Classifier:
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mode = "prod" # 开发模式(dev)还是产品模式(prod)
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IMAGE_EXTENTIONS = ["jpg", "jpeg", "bmp", "png", "tif", "gif", "heic"]
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VIDEO_EXTENTIONS = ["mp4", "avi", "rmvb", "mkv", "mov", "amr", "mpg"]
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TEST_TABLE = "TEST_PHOTO"
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TABLE = "PHOTO"
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PHOTO_NO_DATE_KEYS = ["EXIF ExifVersion"]
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PHOTO_DATE_KEYS = ["Image DateTime", "EXIF DateTimeOriginal"]
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PHOTO_EXIF_KEYS = PHOTO_NO_DATE_KEYS + PHOTO_DATE_KEYS
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SKIP_FOLDERS = ['System Volume Information', '$RECYCLE.BIN', '.stfolder']
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SKIP_FOLDERS = ["System Volume Information", "$RECYCLE.BIN", ".stfolder"]
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def __init__(self, input_folder, photo_output, video_output, image_output):
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self.input = input_folder
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@ -35,11 +37,16 @@ class Classifier():
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self.video_output = video_output
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self.image_output = image_output
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self.processed_count = 0
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self.table = self.TEST_TABLE if self.mode == 'dev' else self.TABLE
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self.table = self.TEST_TABLE if self.mode == "dev" else self.TABLE
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pass
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def connect_database(self):
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self.db = pymysql.connect(host='bt.biggerfish.tech', user='admin', password='zhiyong214', database='photo_classifier')
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self.db = pymysql.connect(
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host="panel.zhiyong.tech",
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user="yu_biggerfish",
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password="jRHTbQrdkfNNTztH",
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database="photo_classifier",
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)
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def close_database(self):
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self.db.close()
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@ -48,17 +55,19 @@ class Classifier():
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self.connect_database()
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cursor = self.db.cursor()
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sql = 'DROP TABLE IF EXISTS {}'.format(self.table)
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sql = "DROP TABLE IF EXISTS {}".format(self.table)
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cursor.execute(sql)
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print('删除表 {}'.format(self.table))
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print("删除表 {}".format(self.table))
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sql = '''CREATE TABLE {} (
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sql = """CREATE TABLE {} (
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ID INT NOT NULL AUTO_INCREMENT ,
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MD5 VARCHAR(255) NOT NULL ,
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PRIMARY KEY (ID), UNIQUE (MD5))
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ENGINE = InnoDB;'''.format(self.table)
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ENGINE = InnoDB;""".format(
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self.table
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)
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cursor.execute(sql)
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print('创建表 {}'.format(self.table))
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print("创建表 {}".format(self.table))
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self.close_database()
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@ -70,12 +79,12 @@ class Classifier():
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def get_file_count(self, folder):
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count = 0
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for (_, _, _files) in os.walk(folder):
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for _, _, _files in os.walk(folder):
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count += len(_files)
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return count
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def delete_folders(self, folder):
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for (root, dirs, files) in os.walk(folder):
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for root, dirs, files in os.walk(folder):
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for dir in dirs:
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if dir in self.SKIP_FOLDERS:
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continue
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@ -83,7 +92,7 @@ class Classifier():
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if os.path.isdir(abs_path):
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if self.get_file_count(abs_path) == 0:
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shutil.rmtree(abs_path)
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print('删除目录: {}'.format(abs_path))
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print("删除目录: {}".format(abs_path))
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def is_photo(self, file_name):
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return self.is_image(file_name) and self.contains_exif(file_name)
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@ -101,18 +110,18 @@ class Classifier():
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return False
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def contains_exif(self, file_name):
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with open(file_name, 'rb') as reader:
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with open(file_name, "rb") as reader:
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tags = exifread.process_file(reader)
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keys = [key for key in self.PHOTO_EXIF_KEYS if key in tags]
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return len(keys) > 0
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def process_folder(self, folder):
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for (root, dirs, files) in os.walk(folder):
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for root, dirs, files in os.walk(folder):
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for file in files:
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self.process_file(root, file)
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def get_md5(self, file):
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with open(file, 'rb') as reader:
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with open(file, "rb") as reader:
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return hashlib.md5(reader.read()).hexdigest()
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def process_file(self, root, file):
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@ -125,11 +134,13 @@ class Classifier():
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new_name = self.rename_move(file_path, year, month, day, md5)
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self.add_record(md5)
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self.processed_count += 1
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print('已处理 {}: {} --> {}'.format(self.processed_count, file, new_name))
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print(
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"已处理 {}: {} --> {}".format(self.processed_count, file, new_name)
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)
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except Exception as e:
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print(str(e))
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else:
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print('非图片或视频, 忽略文件: {}'.format(file_path))
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print("非图片或视频, 忽略文件: {}".format(file_path))
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def add_record(self, md5):
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try:
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@ -138,7 +149,7 @@ class Classifier():
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cursor.execute(sql)
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self.db.commit()
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except Exception as e:
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print('插入记录 {} 到数据库photo_classifier失败: {}'.format(md5, str(e)))
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print("插入记录 {} 到数据库photo_classifier失败: {}".format(md5, str(e)))
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self.db.rollback()
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raise e
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@ -149,24 +160,24 @@ class Classifier():
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sql = "SELECT MD5 FROM {} WHERE MD5='{}'".format(self.table, md5)
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cursor.execute(sql)
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record = cursor.fetchone()
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if str(record) != 'None':
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if str(record) != "None":
|
||||
os.remove(file_path)
|
||||
raise Exception('重复文件 {} --> 删除'.format(file_path))
|
||||
raise Exception("重复文件 {} --> 删除".format(file_path))
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
if (not self.is_image(file_path)) and (not self.is_video(file_path)):
|
||||
raise Exception('非图片或视频: {} --> 跳过'.format(file_path))
|
||||
raise Exception("非图片或视频: {} --> 跳过".format(file_path))
|
||||
|
||||
def get_photo_create_date(self, file):
|
||||
with open(file, 'rb') as reader:
|
||||
with open(file, "rb") as reader:
|
||||
tags = exifread.process_file(reader)
|
||||
keys = [key for key in self.PHOTO_DATE_KEYS if key in tags]
|
||||
if len(keys) > 0:
|
||||
key = keys[0]
|
||||
origin_date = tags[key]
|
||||
time_str = str(origin_date)
|
||||
_date = time_str[:10].split(':')
|
||||
_date = time_str[:10].split(":")
|
||||
year = _date[0]
|
||||
month = _date[1]
|
||||
day = _date[2]
|
||||
@ -177,8 +188,8 @@ class Classifier():
|
||||
try:
|
||||
properties = propsys.SHGetPropertyStoreFromParsingName(file)
|
||||
dt = properties.GetValue(pscon.PKEY_Media_DateEncoded).GetValue()
|
||||
time_str = str(dt.astimezone(pytz.timezone('Asia/Shanghai')))
|
||||
_date = time_str[:10].split('-')
|
||||
time_str = str(dt.astimezone(pytz.timezone("Asia/Shanghai")))
|
||||
_date = time_str[:10].split("-")
|
||||
year = _date[0]
|
||||
month = _date[1]
|
||||
day = _date[2]
|
||||
@ -187,7 +198,7 @@ class Classifier():
|
||||
return None
|
||||
|
||||
def read_date(self, file):
|
||||
file = file.replace('/', '\\')
|
||||
file = file.replace("/", "\\")
|
||||
date = None
|
||||
if self.is_photo(file):
|
||||
date = self.get_photo_create_date(file) # 照片可能没有EXIF日期
|
||||
@ -197,7 +208,7 @@ class Classifier():
|
||||
if not date: # 获取文件上次修改日期
|
||||
time_str = os.path.getmtime(file)
|
||||
time_str = str(datetime.datetime.fromtimestamp(time_str))
|
||||
_date = time_str[:10].split('-')
|
||||
_date = time_str[:10].split("-")
|
||||
year = _date[0]
|
||||
month = _date[1]
|
||||
day = _date[2]
|
||||
@ -213,23 +224,24 @@ class Classifier():
|
||||
elif self.is_video(file_path):
|
||||
output = self.video_output
|
||||
else:
|
||||
raise Exception('移动文件失败, 非图片或视频: {}'.format(file_path))
|
||||
raise Exception("移动文件失败, 非图片或视频: {}".format(file_path))
|
||||
|
||||
new_path = os.path.join(output, year, month, day)
|
||||
if not os.path.exists(new_path):
|
||||
os.makedirs(new_path)
|
||||
file_name, file_ext = os.path.splitext(file_path)
|
||||
new_name = year + '-' + month + '-' + day + '-' + md5 + file_ext
|
||||
new_name = year + "-" + month + "-" + day + "-" + md5 + file_ext
|
||||
shutil.move(file_path, os.path.join(new_path, new_name))
|
||||
return new_name
|
||||
|
||||
|
||||
cf = Classifier(
|
||||
input_folder='D:/待分类照片视频',
|
||||
# input_folder='z:/待分类照片视频/Picture',
|
||||
photo_output='D:/总仓库-照片视频/总照片备份',
|
||||
video_output='D:/总仓库-照片视频/总视频备份',
|
||||
image_output='D:/总仓库-照片视频/总图片备份')
|
||||
input_folder="D:/待分类照片视频",
|
||||
# input_folder="D:/总仓库-照片视频-bak",
|
||||
photo_output="D:/总仓库-照片视频/总照片备份",
|
||||
video_output="D:/总仓库-照片视频/总视频备份",
|
||||
image_output="D:/总仓库-照片视频/总图片备份",
|
||||
)
|
||||
|
||||
cf.start()
|
||||
# cf.create_table()
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user