build: backup to gitea

.github/workflows/backup.yml

@@ -0,0 +1,31 @@
+name: Backup to Gitea
+
+on:
+  push:
+    branches:
+      - main  # 你可以根据需要修改分支名称
+
+jobs:
+  backup:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v2
+        with:
+          fetch-depth: 0  # Fetch all history for all branches and tags
+
+      - name: Set up Git
+        run: |
+          git config --global user.name "biggerfish"
+          git config --global user.email "yuzhiyongcn@qq.com"
+
+      - name: Add Gitea remote
+        run: |
+          REPO_NAME=$(basename ${{ github.repository }})
+          git remote add gitea https://yu:${{secrets.GITEA_TOKEN}}@git.zhiyong.tech/yu/$REPO_NAME.git
+
+      - name: Push to Gitea
+        run: |
+          git push -u gitea --all --force
+          git push -u gitea --tags --force

README.md

@@ -1,5 +1,5 @@
 # 照片分类器-python3
 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"
-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
+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
-3. 如果照片经过修改, 丢失EXIF信息, 将被跳过
+3. 可以处理视频, 照片, 非照片的图片
-4. 整理后的照片存放到"自动备份", 被备份到多个云盘
+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

photo_classifier-for nas.py

@@ -1,13 +1,12 @@
-'''
+"""
 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
@@ -19,15 +18,16 @@ import pytz
 from win32com.propsys import propsys, pscon
 
 
-class Classifier():
+class Classifier1:
-    mode = 'prod'  # 开发模式(dev)还是产品模式(prod)
+    mode = "prod"  # 开发模式(dev)还是产品模式(prod)
-    IMAGE_EXTENTIONS = ['jpg', 'jpeg', 'bmp', 'png']
+    IMAGE_EXTENTIONS = ["jpg", "jpeg", "bmp", "png", "tif", "gif", "heic"]
-    VIDEO_EXTENTIONS = ['mp4']
+    VIDEO_EXTENTIONS = ["mp4", "avi", "rmvb", "mkv", "mov", "amr", "mpg"]
-    TEST_TABLE = 'TEST_PHOTO'
+    TEST_TABLE = "TEST_PHOTO"
-    TABLE = 'PHOTO'
+    TABLE = "PHOTO"
-    PHOTO_NO_DATE_KEYS = ['EXIF ExifVersion']
+    PHOTO_NO_DATE_KEYS = ["EXIF ExifVersion"]
-    PHOTO_DATE_KEYS = ['Image DateTime', 'EXIF DateTimeOriginal']
+    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
@@ -35,11 +35,17 @@ class Classifier():
         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='bt.biggerfish.tech', user='admin', password='zhiyong214', database='photo_classifier')
+        self.db = pymysql.connect(
+            host="northflyfish.myqnapcloud.cn",
+            user="admin",
+            password="zhiyong@214",
+            database="photo_classifier",
+            port=3307,
+        )
 
     def close_database(self):
         self.db.close()
@@ -48,17 +54,19 @@ class Classifier():
         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()
 
@@ -70,18 +78,20 @@ class Classifier():
 
     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)
@@ -99,32 +109,37 @@ class Classifier():
         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)
-        md5 = self.get_md5(file_path)
+        if self.is_image(file_path) or self.is_video(file_path):
-        try:
+            md5 = self.get_md5(file_path)
-            self.validate(file_path, md5)
+            try:
-            year, month = self.read_date(file_path)
+                self.validate(file_path, md5)
-            new_name = self.rename_move(file_path, year, month)
+                year, month, day = self.read_date(file_path)
-            self.add_record(md5)
+                new_name = self.rename_move(file_path, year, month, day, md5)
-            self.processed_count += 1
+                self.add_record(md5)
-            print('已处理 {}: {} --> {}'.format(self.processed_count, file, new_name))
+                self.processed_count += 1
-        except Exception as e:
+                print(
-            print(str(e))
+                    "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:
@@ -133,7 +148,7 @@ class Classifier():
             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
 
@@ -144,43 +159,45 @@ class Classifier():
             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('重复照片 {} --> 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[:7].split(':')
+                _date = time_str[:10].split(":")
                 year = _date[0]
                 month = _date[1]
-                return (year, month)
+                day = _date[2]
+                return (year, month, day)
         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')))
+            time_str = str(dt.astimezone(pytz.timezone("Asia/Shanghai")))
-            _date = time_str[:7].split('-')
+            _date = time_str[:10].split("-")
             year = _date[0]
             month = _date[1]
-            return (year, month)
+            day = _date[2]
+            return (year, month, day)
         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
@@ -190,13 +207,14 @@ 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[:7].split('-')
+            _date = time_str[:10].split("-")
             year = _date[0]
             month = _date[1]
-            date = (year, month)
+            day = _date[2]
+            date = (year, month, day)
         return date
 
-    def rename_move(self, file_path, year, month):
+    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
@@ -205,21 +223,24 @@ 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)
+        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 + '-' + str(time.time()) + 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('D:/temp/相册',
+cf = Classifier1(
-                photo_output='D:/总仓库-照片视频/总照片备份',
+    input_folder="D:/待分类照片视频1",
-                video_output='D:/总仓库-照片视频/总视频备份',
+    # input_folder='z:/待分类照片视频/Picture',
-                image_output='D:/总仓库-照片视频/总图片备份')
+    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.start()
 # cf.create_table()
-cf.start()

src/photo_classifier-当前使用.py

@@ -0,0 +1,247 @@
+"""
+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
+"""
+
+import os
+import sys
+from posixpath import abspath
+import exifread
+import time
+import shutil
+import hashlib
+import pymysql
+import datetime
+import pytz
+from win32com.propsys import propsys, pscon
+
+# 使用韩国oracle 数据库
+
+
+class Classifier:
+    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"]
+    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
+        self.photo_output = photo_output
+        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
+        pass
+
+    def connect_database(self):
+        self.db = pymysql.connect(
+            host="panel.zhiyong.tech",
+            user="yu_biggerfish",
+            password="jRHTbQrdkfNNTztH",
+            database="photo_classifier",
+        )
+
+    def close_database(self):
+        self.db.close()
+
+    def create_table(self):
+        self.connect_database()
+        cursor = self.db.cursor()
+
+        sql = "DROP TABLE IF EXISTS {}".format(self.table)
+        cursor.execute(sql)
+        print("删除表 {}".format(self.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
+        )
+        cursor.execute(sql)
+        print("创建表 {}".format(self.table))
+
+        self.close_database()
+
+    def start(self):
+        self.connect_database()
+        self.process_folder(self.input)
+        self.delete_folders(self.input)
+        self.close_database()
+
+    def get_file_count(self, folder):
+        count = 0
+        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 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))
+
+    def is_photo(self, file_name):
+        return self.is_image(file_name) and self.contains_exif(file_name)
+
+    def is_video(self, file_name):
+        for ext in self.VIDEO_EXTENTIONS:
+            if file_name.lower().endswith(ext):
+                return True
+        return False
+
+    def is_image(self, file_name):
+        for ext in self.IMAGE_EXTENTIONS:
+            if file_name.lower().endswith(ext):
+                return True
+        return False
+
+    def contains_exif(self, file_name):
+        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 file in files:
+                self.process_file(root, file)
+
+    def get_md5(self, file):
+        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)
+                self.add_record(md5)
+                self.processed_count += 1
+                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:
+            cursor = self.db.cursor()
+            sql = "INSERT INTO {}(MD5) VALUES('{}')".format(self.table, md5)
+            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)))
+            self.db.rollback()
+            raise e
+
+    def validate(self, file_path, md5):
+        # check if the md5 of the photo exists in database
+        try:
+            cursor = self.db.cursor()
+            sql = "SELECT MD5 FROM {} WHERE MD5='{}'".format(self.table, md5)
+            cursor.execute(sql)
+            record = cursor.fetchone()
+            if str(record) != "None":
+                os.remove(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))
+
+    def get_photo_create_date(self, file):
+        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(":")
+                year = _date[0]
+                month = _date[1]
+                day = _date[2]
+                return (year, month, day)
+        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("-")
+            year = _date[0]
+            month = _date[1]
+            day = _date[2]
+            return (year, month, day)
+        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()