Initial commit

.gitattributes

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+# Auto detect text files and perform LF normalization
+* text=auto

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+/.idea
+/img

README.md

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+# GetQQInfo
+ 我超，盒

Thread.py

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+import threading
+import pymysql
+from tools import *
+
+
+class UploadThread(threading.Thread):
+    def __init__(self, uploadqqnumber):
+        super().__init__()
+        self.uploadqqnumber = uploadqqnumber
+        self.conn = pymysql.connect(
+            host='192.168.9.1',  # 你的 MySQL 主机
+            user='root',  # 你的 MySQL 用户
+            password='123456',  # 你的 MySQL 密码
+            database='qqinfo'  # 你要连接的数据库
+        )
+
+
+    def conn_close(self):
+        self.conn.close()
+
+
+    def run(self):
+        print(f'我是上传线程{self.uploadqqnumber}')
+        if download_image(self.uploadqqnumber):
+            Hash(self.conn).tomysql(self.uploadqqnumber)
+            print('上传成功')
+            remove_image(self.uploadqqnumber)
+
+
+
+class FindThread(threading.Thread):
+    def __init__(self, TargetImageHash):
+        super().__init__()
+        self.TargetImageHash = TargetImageHash
+        self.conn = pymysql.connect(
+            host='192.168.9.1',  # 你的 MySQL 主机
+            user='root',  # 你的 MySQL 用户
+            password='123456',  # 你的 MySQL 密码
+            database='qqinfo'  # 你要连接的数据库
+        )
+
+
+    def conn_close(self):
+        self.conn.close()
+
+
+    def run(self):
+        print(f'我是查询线程{self.TargetImageHash}')
+        res = Hash(self.conn).getqq(self.TargetImageHash)
+        if res != 'error':
+            print(f'查询成功，QQ号是: {res}')
+            exit()
+
+
+
+class ByNetFindThread(threading.Thread):
+    def __init__(self, TargetImageHash, findqqnumber):
+        super().__init__()
+        self.TargetImageHash = TargetImageHash
+        self.findqqnumber = findqqnumber
+
+
+    def run(self):
+        if download_image(self.findqqnumber):
+            FindImage = Image.open(str(f'./img/{self.findqqnumber}.jpg'))
+            FindImageHash = bytes.fromhex(str(imagehash.average_hash(FindImage)))
+            res = compare(self.TargetImageHash, FindImageHash)
+            if res-99.9 >= 0 :
+                print(f'找到QQ号了:{self.findqqnumber}')
+                os.rename(f'./img/{self.findqqnumber}.jpg',f'./img/congratulations_{self.findqqnumber}.jpg')
+                exit()
+            print(f'[{self.findqqnumber}]的相似度是：{res}')
+            remove_image(self.findqqnumber)

main.py

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+from Thread import pymysql, UploadThread, FindThread, ByNetFindThread , threading
+from tools import imagehash, Image, download_image
+
+# download_image(1310371422)
+TargetRange = [1310372220, 1310372400]
+TargetImage = Image.open(str(f'./img/target3.jpg'))
+TargetImageHash = bytes.fromhex(str(imagehash.average_hash(TargetImage)))
+baseArr = TargetRange[0]
+
+if __name__ == '__main__':
+
+    Thread = FindThread(TargetImageHash)
+    Thread.start()
+
+    # while baseArr<TargetRange[1]:
+    #     Thread = ByNetFindThread(TargetImageHash, baseArr)
+    #     Thread.start()
+    #     baseArr += 1
+
+    # while baseArr<=TargetRange[1]:
+    #     Thread = UploadThread(baseArr)
+    #     Thread.start()
+    #     baseArr += 1
+

test.py

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+def hamming_distance(hash1, hash2):
+    # 将哈希值转换为二进制字符串
+    bin1 = bin(int(hash1, 16))[2:].zfill(len(hash1) * 4)  # 16进制转二进制
+    bin2 = bin(int(hash2, 16))[2:].zfill(len(hash2) * 4)
+
+    # 计算汉明距离
+    return sum(c1 != c2 for c1, c2 in zip(bin1, bin2))
+
+
+# 给定的两个哈希值
+hash1 = 'ffffff7060606000'
+hash2 = '000034e3ffffffbf'
+
+# 计算汉明距离
+distance = hamming_distance(hash1, hash2)
+print(f'汉明距离: {distance}')

tools.py

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+import os
+import requests
+from PIL import Image
+import imagehash
+
+
+class Hash:
+    def __init__(self, conn):
+        self.conn = conn
+
+    def gethash(self, _qqnumber):
+        """
+        根据传入的qq号，获取数据库里的hash值
+
+        :param: _qqnumber: QQ号
+        :return: 字节类型Hash值
+        """
+        _cursor = self.conn.cursor()
+        _cursor.execute('SELECT hash FROM image_hashes WHERE id = (%s)', (_qqnumber,))
+        byte_data_from_db = _cursor.fetchone()
+        if byte_data_from_db is None:
+            print(f'{_qqnumber}不在数据库内')
+        else:
+            print(f'从数据库获取的Hash号: {byte_data_from_db[0]}')
+        _cursor.close()
+        return byte_data_from_db[0]
+
+    def getqq(self, _hash):
+        """
+        根据传入的{字节类型Hash值}，获取数据库里的QQ号
+
+        :param: _hash: 字节类型Hash值
+        :return: QQ号
+        """
+        _cursor = self.conn.cursor()
+        _cursor.execute('SELECT id FROM image_hashes WHERE hash = (%s)', (_hash,))
+        byte_data_from_db = _cursor.fetchone()
+        if byte_data_from_db is None:
+            print('Hash值不存在')
+            return 'error'
+        else:
+            print(f'从数据库获取的QQ号: {byte_data_from_db[0]}')
+            _cursor.close()
+            return byte_data_from_db[0]
+
+    def tomysql(self, _qqnumber):
+        """
+        根据传入的qq号，下载并解析qq头像中的哈希值，最后上传到Mysql
+
+        :param: _qqnumber: QQ号
+        """
+        _img = Image.open(str(f'./img/{_qqnumber}.jpg'))
+        _byte_data = bytes.fromhex(str(imagehash.average_hash(_img)))
+        _cursor = self.conn.cursor()
+        _cursor.execute("""
+            INSERT INTO image_hashes (id, hash)
+            VALUES (%s, %s)
+            ON DUPLICATE KEY UPDATE
+            hash = VALUES(hash)
+        """, (_qqnumber, _byte_data))
+        print(f'[{_qqnumber}]:{_byte_data}')
+        self.conn.commit()
+        _cursor.close()
+
+
+def compare(hash1, hash2):
+    """
+    根据{字节类型Hash值}，比较两个图片的相似度
+
+    :param hash1: {字节类型Hash值}
+    :param hash2: {字节类型Hash值}
+    :return: 相似度百分比
+    """
+    hash1 = hash1.hex()
+    hash2 = hash2.hex()
+
+    # 将哈希值转换为二进制字符串
+    bin1 = bin(int(hash1, 16))[2:].zfill(len(hash1) * 4)  # 16进制转二进制
+    bin2 = bin(int(hash2, 16))[2:].zfill(len(hash2) * 4)
+
+    # 计算汉明距离
+    hamming_distance =  sum(c1 != c2 for c1, c2 in zip(bin1, bin2))
+
+    # 计算相似度百分比
+    return (1 - hamming_distance / 64) * 100
+
+
+def download_image(_qqnumber):
+    """
+    根据传入的 _qqnumber 下载 QQ 图片并保存到 img 文件夹中。
+
+    :param _qqnumber: QQ号
+    :return: 成功：1  失败：0
+    """
+    if not os.path.exists('img'):
+        os.makedirs('img')
+
+    # 构建图片 URL 和文件名
+    image_url = f'https://q1.qlogo.cn/g?b=qq&nk={_qqnumber}&s=0'
+    image_name = os.path.join('img', f'{_qqnumber}.jpg')
+
+    # 发送请求获取图片
+    response = requests.get(image_url)
+
+    if response.status_code == 200:
+        # 保存图片
+        with open(image_name, 'wb') as f:
+            f.write(response.content)
+            print(f'图片已保存为 {image_name}')
+        return 1
+    else:
+        print(f'下载图片失败，错误码：{response.status_code}')
+        return 0
+
+
+def remove_image(_qqnumber):
+    """
+    根据传入的 _qqnumber 删除对于图片
+
+    :param _qqnumber: QQ号
+    :return: 成功：1  失败：0
+    """
+    if os.path.exists(f'./img/{_qqnumber}.jpg'):
+        os.remove(f'./img/{_qqnumber}.jpg')
+        return 1
+    else:
+        print(f'没有找到这个QQ号的图片:{_qqnumber}')