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57ab326604
...
564da5df77
31
.github/workflows/backup.yml
vendored
31
.github/workflows/backup.yml
vendored
@ -1,31 +0,0 @@
|
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name: Backup to Gitea
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||||
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on:
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push:
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branches:
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- main # 你可以根据需要修改分支名称
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jobs:
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backup:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v2
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with:
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fetch-depth: 0 # Fetch all history for all branches and tags
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- name: Set up Git
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run: |
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git config --global user.name "biggerfish"
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git config --global user.email "yuzhiyongcn@qq.com"
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- name: Add Gitea remote
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run: |
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REPO_NAME=$(basename ${{ github.repository }})
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git remote add gitea https://yu:${{secrets.GITEA_TOKEN}}@git.zhiyong.tech/yu/$REPO_NAME.git
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- name: Push to Gitea
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run: |
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git push -u gitea --all --force
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git push -u gitea --tags --force
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@ -1,5 +1,5 @@
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# 照片分类器-python3
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1. 对指定目录及子目录下的照片进行分类, 先按 年/月 分目录, 文件名重命名为"年-月-时间戳"
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2. 每个照片文件的md5校验码存储到oracle新加坡云的mysql数据库'photo_classifier', 表名'photo', 用于检查照片是否重复, 重复的会跳过
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3. 可以处理视频, 照片, 非照片的图片
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4. 整理后的照片存放到"总仓库-照片视频", 被备份到多个云盘
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2. 每个照片文件的md5校验码存储到oracle新加坡云的mysql数据库'photo_classifier', 用于检查照片是否重复, 重复的会跳过
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3. 如果照片经过修改, 丢失EXIF信息, 将被跳过
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4. 整理后的照片存放到"自动备份", 被备份到多个云盘
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@ -1,247 +0,0 @@
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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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import os
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import sys
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from posixpath import abspath
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import exifread
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import time
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import shutil
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import hashlib
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import pymysql
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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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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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def __init__(self, input_folder, photo_output, video_output, image_output):
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self.input = input_folder
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self.photo_output = photo_output
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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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pass
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def connect_database(self):
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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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def create_table(self):
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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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cursor.execute(sql)
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print("删除表 {}".format(self.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(
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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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self.close_database()
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def start(self):
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self.connect_database()
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self.process_folder(self.input)
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self.delete_folders(self.input)
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self.close_database()
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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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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 dir in dirs:
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if dir in self.SKIP_FOLDERS:
|
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continue
|
||||
abs_path = os.path.join(root, dir)
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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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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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def is_video(self, file_name):
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for ext in self.VIDEO_EXTENTIONS:
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if file_name.lower().endswith(ext):
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return True
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return False
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def is_image(self, file_name):
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for ext in self.IMAGE_EXTENTIONS:
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if file_name.lower().endswith(ext):
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return True
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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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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 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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return hashlib.md5(reader.read()).hexdigest()
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def process_file(self, root, file):
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file_path = os.path.join(root, file)
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if self.is_image(file_path) or self.is_video(file_path):
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md5 = self.get_md5(file_path)
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try:
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self.validate(file_path, md5)
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year, month, day = self.read_date(file_path)
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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(
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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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||||
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def add_record(self, md5):
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||||
try:
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cursor = self.db.cursor()
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sql = "INSERT INTO {}(MD5) VALUES('{}')".format(self.table, md5)
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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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self.db.rollback()
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raise e
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def validate(self, file_path, md5):
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# check if the md5 of the photo exists in database
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||||
try:
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cursor = self.db.cursor()
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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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os.remove(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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||||
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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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tags = exifread.process_file(reader)
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||||
keys = [key for key in self.PHOTO_DATE_KEYS if key in tags]
|
||||
if len(keys) > 0:
|
||||
key = keys[0]
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||||
origin_date = tags[key]
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||||
time_str = str(origin_date)
|
||||
_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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||||
return (year, month, day)
|
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return None
|
||||
|
||||
def get_video_create_date(self, file):
|
||||
try:
|
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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("-")
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||||
year = _date[0]
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||||
month = _date[1]
|
||||
day = _date[2]
|
||||
return (year, month, day)
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||||
except:
|
||||
return None
|
||||
|
||||
def read_date(self, file):
|
||||
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
|
||||
elif self.is_video(file):
|
||||
date = self.get_video_create_date(file) # 视频可能没有媒体创建日期
|
||||
|
||||
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("-")
|
||||
year = _date[0]
|
||||
month = _date[1]
|
||||
day = _date[2]
|
||||
date = (year, month, day)
|
||||
return date
|
||||
|
||||
def rename_move(self, file_path, year, month, day, md5):
|
||||
if self.is_image(file_path):
|
||||
if self.is_photo(file_path):
|
||||
output = self.photo_output
|
||||
else:
|
||||
output = self.image_output
|
||||
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))
|
||||
|
||||
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
|
||||
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="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()
|
||||
@ -1,12 +1,13 @@
|
||||
"""
|
||||
'''
|
||||
根据读取的照片信息分类照片
|
||||
分类:
|
||||
目录名:2020\01
|
||||
文件名:2020-01-时间戳
|
||||
"""
|
||||
处理过的文件名存为json文件: processed_files.json
|
||||
如果照片经过修改, 丢失原始EXIF信息, 将会被跳过
|
||||
'''
|
||||
|
||||
import os
|
||||
import sys
|
||||
from posixpath import abspath
|
||||
import exifread
|
||||
import time
|
||||
@ -18,16 +19,15 @@ import pytz
|
||||
from win32com.propsys import propsys, pscon
|
||||
|
||||
|
||||
class Classifier1:
|
||||
mode = "prod" # 开发模式(dev)还是产品模式(prod)
|
||||
IMAGE_EXTENTIONS = ["jpg", "jpeg", "bmp", "png", "tif", "gif", "heic"]
|
||||
VIDEO_EXTENTIONS = ["mp4", "avi", "rmvb", "mkv", "mov", "amr", "mpg"]
|
||||
TEST_TABLE = "TEST_PHOTO"
|
||||
TABLE = "PHOTO"
|
||||
PHOTO_NO_DATE_KEYS = ["EXIF ExifVersion"]
|
||||
PHOTO_DATE_KEYS = ["Image DateTime", "EXIF DateTimeOriginal"]
|
||||
class Classifier():
|
||||
mode = 'prod' # 开发模式(dev)还是产品模式(prod)
|
||||
IMAGE_EXTENTIONS = ['jpg', 'jpeg', 'bmp', 'png']
|
||||
VIDEO_EXTENTIONS = ['mp4']
|
||||
TEST_TABLE = 'TEST_PHOTO'
|
||||
TABLE = 'PHOTO'
|
||||
PHOTO_NO_DATE_KEYS = ['EXIF ExifVersion']
|
||||
PHOTO_DATE_KEYS = ['Image DateTime', 'EXIF DateTimeOriginal']
|
||||
PHOTO_EXIF_KEYS = PHOTO_NO_DATE_KEYS + PHOTO_DATE_KEYS
|
||||
SKIP_FOLDERS = ["System Volume Information", "$RECYCLE.BIN", ".stfolder"]
|
||||
|
||||
def __init__(self, input_folder, photo_output, video_output, image_output):
|
||||
self.input = input_folder
|
||||
@ -35,17 +35,11 @@ class Classifier1:
|
||||
self.video_output = video_output
|
||||
self.image_output = image_output
|
||||
self.processed_count = 0
|
||||
self.table = self.TEST_TABLE if self.mode == "dev" else self.TABLE
|
||||
self.table = self.TEST_TABLE if self.mode == 'dev' else self.TABLE
|
||||
pass
|
||||
|
||||
def connect_database(self):
|
||||
self.db = pymysql.connect(
|
||||
host="northflyfish.myqnapcloud.cn",
|
||||
user="admin",
|
||||
password="zhiyong@214",
|
||||
database="photo_classifier",
|
||||
port=3307,
|
||||
)
|
||||
self.db = pymysql.connect(host='bt.biggerfish.tech', user='admin', password='zhiyong214', database='photo_classifier')
|
||||
|
||||
def close_database(self):
|
||||
self.db.close()
|
||||
@ -54,19 +48,17 @@ class Classifier1:
|
||||
self.connect_database()
|
||||
cursor = self.db.cursor()
|
||||
|
||||
sql = "DROP TABLE IF EXISTS {}".format(self.table)
|
||||
sql = 'DROP TABLE IF EXISTS {}'.format(self.table)
|
||||
cursor.execute(sql)
|
||||
print("删除表 {}".format(self.table))
|
||||
print('删除表 {}'.format(self.table))
|
||||
|
||||
sql = """CREATE TABLE {} (
|
||||
sql = '''CREATE TABLE {} (
|
||||
ID INT NOT NULL AUTO_INCREMENT ,
|
||||
MD5 VARCHAR(255) NOT NULL ,
|
||||
PRIMARY KEY (ID), UNIQUE (MD5))
|
||||
ENGINE = InnoDB;""".format(
|
||||
self.table
|
||||
)
|
||||
ENGINE = InnoDB;'''.format(self.table)
|
||||
cursor.execute(sql)
|
||||
print("创建表 {}".format(self.table))
|
||||
print('创建表 {}'.format(self.table))
|
||||
|
||||
self.close_database()
|
||||
|
||||
@ -78,20 +70,18 @@ class Classifier1:
|
||||
|
||||
def get_file_count(self, folder):
|
||||
count = 0
|
||||
for _, _, _files in os.walk(folder):
|
||||
for (_, _, _files) in os.walk(folder):
|
||||
count += len(_files)
|
||||
return count
|
||||
|
||||
def delete_folders(self, folder):
|
||||
for root, dirs, files in os.walk(folder):
|
||||
for (root, dirs, files) in os.walk(folder):
|
||||
for dir in dirs:
|
||||
if dir in self.SKIP_FOLDERS:
|
||||
continue
|
||||
abs_path = os.path.join(root, dir)
|
||||
if os.path.isdir(abs_path):
|
||||
if self.get_file_count(abs_path) == 0:
|
||||
shutil.rmtree(abs_path)
|
||||
print("删除目录: {}".format(abs_path))
|
||||
print('删除目录: {}'.format(abs_path))
|
||||
|
||||
def is_photo(self, file_name):
|
||||
return self.is_image(file_name) and self.contains_exif(file_name)
|
||||
@ -109,37 +99,32 @@ class Classifier1:
|
||||
return False
|
||||
|
||||
def contains_exif(self, file_name):
|
||||
with open(file_name, "rb") as reader:
|
||||
with open(file_name, 'rb') as reader:
|
||||
tags = exifread.process_file(reader)
|
||||
keys = [key for key in self.PHOTO_EXIF_KEYS if key in tags]
|
||||
return len(keys) > 0
|
||||
|
||||
def process_folder(self, folder):
|
||||
for root, dirs, files in os.walk(folder):
|
||||
for (root, dirs, files) in os.walk(folder):
|
||||
for file in files:
|
||||
self.process_file(root, file)
|
||||
|
||||
def get_md5(self, file):
|
||||
with open(file, "rb") as reader:
|
||||
with open(file, 'rb') as reader:
|
||||
return hashlib.md5(reader.read()).hexdigest()
|
||||
|
||||
def process_file(self, root, file):
|
||||
file_path = os.path.join(root, file)
|
||||
if self.is_image(file_path) or self.is_video(file_path):
|
||||
md5 = self.get_md5(file_path)
|
||||
try:
|
||||
self.validate(file_path, md5)
|
||||
year, month, day = self.read_date(file_path)
|
||||
new_name = self.rename_move(file_path, year, month, day, md5)
|
||||
year, month = self.read_date(file_path)
|
||||
new_name = self.rename_move(file_path, year, month)
|
||||
self.add_record(md5)
|
||||
self.processed_count += 1
|
||||
print(
|
||||
"已处理 {}: {} --> {}".format(self.processed_count, file, new_name)
|
||||
)
|
||||
print('已处理 {}: {} --> {}'.format(self.processed_count, file, new_name))
|
||||
except Exception as e:
|
||||
print(str(e))
|
||||
else:
|
||||
print("非图片或视频, 忽略文件: {}".format(file_path))
|
||||
|
||||
def add_record(self, md5):
|
||||
try:
|
||||
@ -148,7 +133,7 @@ class Classifier1:
|
||||
cursor.execute(sql)
|
||||
self.db.commit()
|
||||
except Exception as e:
|
||||
print("插入记录 {} 到数据库photo_classifier失败: {}".format(md5, str(e)))
|
||||
print('插入记录 {} 到数据库photo_classifier失败: {}'.format(md5, str(e)))
|
||||
self.db.rollback()
|
||||
raise e
|
||||
|
||||
@ -159,45 +144,43 @@ class Classifier1:
|
||||
sql = "SELECT MD5 FROM {} WHERE MD5='{}'".format(self.table, md5)
|
||||
cursor.execute(sql)
|
||||
record = cursor.fetchone()
|
||||
if str(record) != "None":
|
||||
if str(record) != 'None':
|
||||
os.remove(file_path)
|
||||
raise Exception("重复文件 {} --> 删除".format(file_path))
|
||||
raise Exception('重复照片 {} --> 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[:7].split(':')
|
||||
year = _date[0]
|
||||
month = _date[1]
|
||||
day = _date[2]
|
||||
return (year, month, day)
|
||||
return (year, month)
|
||||
return None
|
||||
|
||||
def get_video_create_date(self, file):
|
||||
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[:7].split('-')
|
||||
year = _date[0]
|
||||
month = _date[1]
|
||||
day = _date[2]
|
||||
return (year, month, day)
|
||||
return (year, month)
|
||||
except:
|
||||
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
|
||||
@ -207,14 +190,13 @@ class Classifier1:
|
||||
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[:7].split('-')
|
||||
year = _date[0]
|
||||
month = _date[1]
|
||||
day = _date[2]
|
||||
date = (year, month, day)
|
||||
date = (year, month)
|
||||
return date
|
||||
|
||||
def rename_move(self, file_path, year, month, day, md5):
|
||||
def rename_move(self, file_path, year, month):
|
||||
if self.is_image(file_path):
|
||||
if self.is_photo(file_path):
|
||||
output = self.photo_output
|
||||
@ -223,24 +205,21 @@ class Classifier1:
|
||||
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)
|
||||
new_path = os.path.join(output, year, month)
|
||||
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 + '-' + str(time.time()) + file_ext
|
||||
shutil.move(file_path, os.path.join(new_path, new_name))
|
||||
return new_name
|
||||
|
||||
|
||||
cf = Classifier1(
|
||||
input_folder="D:/待分类照片视频1",
|
||||
# input_folder='z:/待分类照片视频/Picture',
|
||||
photo_output="D:/总仓库-照片视频1/总照片备份",
|
||||
video_output="D:/总仓库-照片视频1/总视频备份",
|
||||
image_output="D:/总仓库-照片视频1/总图片备份",
|
||||
)
|
||||
cf = Classifier('D:/temp/相册',
|
||||
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()
|
||||
cf.start()
|
||||
Loading…
x
Reference in New Issue
Block a user