增加公众号消息显示
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@ -13,7 +13,7 @@ from .wx_info import merge_copy_db, merge_msg_db, merge_media_msg_db, merge_db,
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all_merge_real_time_db
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from .analyzer import DBPool
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from .dbpreprocess import get_user_list, get_recent_user_list, wxid2userinfo, ParsingMSG, ParsingMicroMsg, \
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ParsingMediaMSG, ParsingOpenIMContact, ParsingFavorite
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ParsingMediaMSG, ParsingOpenIMContact, ParsingFavorite,ParsingPublicMsg
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from .server import start_falsk
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import os, json
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@ -23,7 +23,7 @@ from pywxdump.api.utils import read_session, get_session_wxids, save_session, er
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from pywxdump import read_info, VERSION_LIST, batch_decrypt, BiasAddr, merge_db, decrypt_merge, merge_real_time_db
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from pywxdump.dbpreprocess import wxid2userinfo, ParsingMSG, get_user_list, get_recent_user_list, ParsingMediaMSG, \
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download_file, export_csv, export_json, ParsingMicroMsg
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download_file, export_csv, export_json, ParsingMicroMsg, ParsingPublicMsg
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from pywxdump.dbpreprocess.utils import dat2img
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# app = Flask(__name__, static_folder='../ui/web/dist', static_url_path='/')
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@ -311,6 +311,8 @@ def msg_count():
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if not my_wxid: return ReJson(1001, body="my_wxid is required")
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merge_path = read_session(g.sf, my_wxid, "merge_path")
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chat_count = ParsingMSG(merge_path).msg_count(wxid)
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if None in chat_count:
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chat_count = ParsingPublicMsg(merge_path).msg_count(wxid)
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return ReJson(0, chat_count)
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@ -407,6 +409,9 @@ def get_msgs():
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parsing_msg = ParsingMSG(merge_path)
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msgs, wxid_list = parsing_msg.msg_list(wxid, start, limit)
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if not msgs:
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parsing_public_msg = ParsingPublicMsg(merge_path)
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msgs, wxid_list = parsing_public_msg.msg_list(wxid, start, limit)
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wxid_list.append(my_wxid)
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user_list = wxid2userinfo(merge_path, merge_path, wxid_list)
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return ReJson(0, {"msg_list": msgs, "user_list": user_list})
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@ -12,6 +12,7 @@ from .parsingMSG import ParsingMSG
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from .parsingMicroMsg import ParsingMicroMsg
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from .parsingMediaMSG import ParsingMediaMSG
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from .parsingOpenIMContact import ParsingOpenIMContact
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from .parsingPublicMsg import ParsingPublicMsg
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from .utils import download_file
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from .export.exportCSV import export_csv
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94
pywxdump/dbpreprocess/parsingPublicMsg.py
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94
pywxdump/dbpreprocess/parsingPublicMsg.py
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@ -0,0 +1,94 @@
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# -*- coding: utf-8 -*-#
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# -------------------------------------------------------------------------------
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# Name: parsingPublicMsg.py
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# Description:
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# Author: xaoyaoo
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# Date: 2024/07/03
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# -------------------------------------------------------------------------------
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# -*- coding: utf-8 -*-#
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# -------------------------------------------------------------------------------
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# Name: parsingMSG.py
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# Description:
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# Author: xaoyaoo
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# Date: 2024/04/15
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# -------------------------------------------------------------------------------
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import json
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import os
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import re
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from typing import Union, Tuple
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import pandas as pd
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from .dbbase import DatabaseBase
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from .parsingMSG import ParsingMSG
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from .utils import get_md5, name2typeid, typeid2name, type_converter, timestamp2str, xml2dict, match_BytesExtra
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import lz4.block
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import blackboxprotobuf
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class ParsingPublicMsg(ParsingMSG):
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_class_name = "PublicMSG"
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def msg_count(self, wxid: str = ""):
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"""
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获取聊天记录数量,根据wxid获取单个联系人的聊天记录数量,不传wxid则获取所有联系人的聊天记录数量
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:param MSG_db_path: MSG.db 文件路径
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:return: 聊天记录数量列表 {wxid: chat_count}
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"""
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if wxid:
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sql = f"SELECT StrTalker, COUNT(*) FROM PublicMsg WHERE StrTalker='{wxid}';"
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else:
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sql = f"SELECT StrTalker, COUNT(*) FROM PublicMsg GROUP BY StrTalker ORDER BY COUNT(*) DESC;"
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result = self.execute_sql(sql)
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if not result:
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return {}
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df = pd.DataFrame(result, columns=["wxid", "msg_count"])
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# # 排序
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df = df.sort_values(by="msg_count", ascending=False)
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# chat_counts : {wxid: chat_count}
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chat_counts = df.set_index("wxid").to_dict()["msg_count"]
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return chat_counts
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def msg_count_total(self):
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"""
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获取聊天记录总数
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:return: 聊天记录总数
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"""
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sql = "SELECT COUNT(*) FROM PublicMsg;"
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result = self.execute_sql(sql)
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if result and len(result) > 0:
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chat_counts = result[0][0]
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return chat_counts
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return 0
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def msg_list(self, wxid="", start_index=0, page_size=500, msg_type: str = ""):
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sql = (
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"SELECT localId, IsSender, StrContent, StrTalker, Sequence, Type, SubType, CreateTime, MsgSvrID, "
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"DisplayContent, CompressContent, BytesExtra, ROW_NUMBER() OVER (ORDER BY CreateTime ASC) AS id "
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"FROM PublicMsg WHERE 1==1 "
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"ORDER BY CreateTime ASC LIMIT ?, ?"
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)
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params = [start_index, page_size]
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if msg_type:
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sql = sql.replace("ORDER BY CreateTime ASC LIMIT ?, ?",
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f"AND Type=? ORDER BY CreateTime ASC LIMIT ?,?")
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params = [msg_type] + params
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if wxid:
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sql = sql.replace("WHERE 1==1", f"WHERE StrTalker=? ")
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params = [wxid] + params
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params = tuple(params)
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result1 = self.execute_sql(sql, params)
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if not result1:
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return [], []
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data = []
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wxid_list = []
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for row in result1:
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tmpdata = self.msg_detail(row)
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wxid_list.append(tmpdata["talker"])
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data.append(tmpdata)
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wxid_list = list(set(wxid_list))
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return data, wxid_list
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@ -398,7 +398,7 @@ def get_core_db(wx_path: str, db_type: list = None) -> [str]:
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"""
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if not os.path.exists(wx_path):
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return False, f"[-] 目录不存在: {wx_path}"
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db_type_all = ["MSG", "MediaMSG", "MicroMsg", "OpenIMContact", "OpenIMMedia", "OpenIMMsg", "Favorite"]
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db_type_all = ["MSG", "MediaMSG", "MicroMsg", "OpenIMContact", "OpenIMMedia", "OpenIMMsg", "Favorite", "PublicMsg"]
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if not db_type:
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db_type = db_type_all
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@ -14,6 +14,7 @@ import subprocess
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import time
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from typing import List
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def merge_copy_db(db_path, save_path):
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if isinstance(db_path, list) and len(db_path) == 1:
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db_path = db_path[0]
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@ -299,7 +300,8 @@ def merge_db(db_paths, save_path="merge.db", CreateTime: int = 0, endCreateTime:
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return save_path
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def decrypt_merge(wx_path, key, outpath="", CreateTime: int = 0, endCreateTime: int = 0, db_type: List[str] = []) -> (bool, str):
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def decrypt_merge(wx_path, key, outpath="", CreateTime: int = 0, endCreateTime: int = 0, db_type: List[str] = []) -> (
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bool, str):
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"""
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解密合并数据库 msg.db, microMsg.db, media.db,注意:会删除原数据库
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:param wx_path: 微信路径 eg: C:\*******\WeChat Files\wxid_*********
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@ -319,7 +321,8 @@ def decrypt_merge(wx_path, key, outpath="", CreateTime: int = 0, endCreateTime:
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# 分割wx_path的文件名和父目录
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msg_dir = os.path.dirname(wx_path)
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my_wxid = os.path.basename(wx_path)
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db_type_set: set[str] = {"MSG", "MediaMSG", "MicroMsg", "OpenIMContact", "OpenIMMedia", "OpenIMMsg", "Favorite"}
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db_type_set: set[str] = {"MSG", "MediaMSG", "MicroMsg", "OpenIMContact", "OpenIMMedia", "OpenIMMsg", "Favorite",
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"PublicMsg"}
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if len(db_type) == 0:
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db_type = list(db_type_set)
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else:
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