更新消息存储和查询逻辑,支持MongoDB风格的操作符,修改消息ID字段类型为TextField
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@@ -33,14 +33,13 @@ class MessageStorage:
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chat_info_dict = chat_stream.to_dict()
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user_info_dict = message.message_info.user_info.to_dict()
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# Ensure message_id is an int if the model field is IntegerField
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try:
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msg_id = int(message.message_info.message_id)
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except ValueError:
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logger.error(
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f"Message ID {message.message_info.message_id} is not a valid integer. Storing as 0 or consider changing model field type."
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)
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msg_id = 0 # Or handle as appropriate, e.g. skip storing, or change model field to TextField
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# message_id 现在是 TextField,直接使用字符串值
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msg_id = message.message_info.message_id
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# 安全地获取 group_info, 如果为 None 则视为空字典
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group_info_from_chat = chat_info_dict.get("group_info") or {}
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# 安全地获取 user_info, 如果为 None 则视为空字典 (以防万一)
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user_info_from_chat = chat_info_dict.get("user_info") or {}
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Messages.create(
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message_id=msg_id,
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@@ -49,13 +48,13 @@ class MessageStorage:
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# Flattened chat_info
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chat_info_stream_id=chat_info_dict.get("stream_id"),
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chat_info_platform=chat_info_dict.get("platform"),
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chat_info_user_platform=chat_info_dict.get("user_info", {}).get("platform"),
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chat_info_user_id=chat_info_dict.get("user_info", {}).get("user_id"),
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chat_info_user_nickname=chat_info_dict.get("user_info", {}).get("user_nickname"),
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chat_info_user_cardname=chat_info_dict.get("user_info", {}).get("user_cardname"),
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chat_info_group_platform=chat_info_dict.get("group_info", {}).get("platform"),
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chat_info_group_id=chat_info_dict.get("group_info", {}).get("group_id"),
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chat_info_group_name=chat_info_dict.get("group_info", {}).get("group_name"),
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chat_info_user_platform=user_info_from_chat.get("platform"),
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chat_info_user_id=user_info_from_chat.get("user_id"),
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chat_info_user_nickname=user_info_from_chat.get("user_nickname"),
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chat_info_user_cardname=user_info_from_chat.get("user_cardname"),
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chat_info_group_platform=group_info_from_chat.get("platform"),
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chat_info_group_id=group_info_from_chat.get("group_id"),
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chat_info_group_name=group_info_from_chat.get("group_name"),
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chat_info_create_time=float(chat_info_dict.get("create_time", 0.0)),
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chat_info_last_active_time=float(chat_info_dict.get("last_active_time", 0.0)),
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# Flattened user_info (message sender)
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@@ -39,13 +39,13 @@ logger = get_logger("person_info")
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person_info_default = {
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"person_id": None,
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"person_name": None,
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"person_name": None, # 模型中已设为 null=True,此默认值OK
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"name_reason": None,
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"platform": None,
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"user_id": None,
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"nickname": None,
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"platform": "unknown", # 提供非None的默认值
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"user_id": "unknown", # 提供非None的默认值
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"nickname": "Unknown", # 提供非None的默认值
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"relationship_value": 0,
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"konw_time": 0,
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"know_time": 0, # 修正拼写:konw_time -> know_time
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"msg_interval": 2000,
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"msg_interval_list": [], # 将作为 JSON 字符串存储在 Peewee 的 TextField
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"user_cardname": None, # 注意:此字段不在 PersonInfo Peewee 模型中
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@@ -561,7 +561,7 @@ class PersonInfoManager:
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"platform": platform,
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"user_id": str(user_id),
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"nickname": nickname,
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"konw_time": int(datetime.datetime.now().timestamp()),
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"know_time": int(datetime.datetime.now().timestamp()), # 修正拼写:konw_time -> know_time
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}
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model_fields = PersonInfo._meta.fields.keys()
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filtered_initial_data = {k: v for k, v in initial_data.items() if v is not None and k in model_fields}
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@@ -122,7 +122,7 @@ class Messages(BaseModel):
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用于存储消息数据的模型。
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"""
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message_id = IntegerField(index=True) # 消息 ID
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message_id = TextField(index=True) # 消息 ID (更改自 IntegerField)
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time = DoubleField() # 消息时间戳
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chat_id = TextField(index=True) # 对应的 ChatStreams stream_id
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@@ -208,7 +208,7 @@ class PersonInfo(BaseModel):
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"""
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person_id = TextField(unique=True, index=True) # 个人唯一ID
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person_name = TextField() # 个人名称
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person_name = TextField(null=True) # 个人名称 (允许为空)
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name_reason = TextField(null=True) # 名称设定的原因
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platform = TextField() # 平台
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user_id = TextField(index=True) # 用户ID
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@@ -24,7 +24,7 @@ def find_messages(
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根据提供的过滤器、排序和限制条件查找消息。
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Args:
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message_filter: 查询过滤器字典,键为模型字段名,值为期望值。
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message_filter: 查询过滤器字典,键为模型字段名,值为期望值或包含操作符的字典 (例如 {'$gt': value}).
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sort: 排序条件列表,例如 [('time', 1)] (1 for asc, -1 for desc)。仅在 limit 为 0 时生效。
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limit: 返回的最大文档数,0表示不限制。
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limit_mode: 当 limit > 0 时生效。 'earliest' 表示获取最早的记录, 'latest' 表示获取最新的记录(结果仍按时间正序排列)。默认为 'latest'。
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@@ -40,11 +40,34 @@ def find_messages(
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conditions = []
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for key, value in message_filter.items():
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if hasattr(Messages, key):
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conditions.append(getattr(Messages, key) == value)
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field = getattr(Messages, key)
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if isinstance(value, dict):
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# 处理 MongoDB 风格的操作符
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for op, op_value in value.items():
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if op == "$gt":
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conditions.append(field > op_value)
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elif op == "$lt":
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conditions.append(field < op_value)
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elif op == "$gte":
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conditions.append(field >= op_value)
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elif op == "$lte":
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conditions.append(field <= op_value)
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elif op == "$ne":
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conditions.append(field != op_value)
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elif op == "$in":
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conditions.append(field.in_(op_value))
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elif op == "$nin":
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conditions.append(field.not_in(op_value))
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else:
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logger.warning(
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f"过滤器中遇到未知操作符 '{op}' (字段: '{key}')。将跳过此操作符。"
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)
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else:
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# 直接相等比较
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conditions.append(field == value)
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else:
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logger.warning(f"过滤器键 '{key}' 在 Messages 模型中未找到。将跳过此条件。")
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if conditions:
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# 使用 *conditions 将所有条件以 AND 连接
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query = query.where(*conditions)
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if limit > 0:
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@@ -92,7 +115,7 @@ def count_messages(message_filter: dict[str, Any]) -> int:
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根据提供的过滤器计算消息数量。
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Args:
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message_filter: 查询过滤器字典,键为模型字段名,值为期望值。
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message_filter: 查询过滤器字典,键为模型字段名,值为期望值或包含操作符的字典 (例如 {'$gt': value}).
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Returns:
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符合条件的消息数量,如果出错则返回 0。
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@@ -105,7 +128,31 @@ def count_messages(message_filter: dict[str, Any]) -> int:
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conditions = []
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for key, value in message_filter.items():
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if hasattr(Messages, key):
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conditions.append(getattr(Messages, key) == value)
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field = getattr(Messages, key)
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if isinstance(value, dict):
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# 处理 MongoDB 风格的操作符
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for op, op_value in value.items():
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if op == "$gt":
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conditions.append(field > op_value)
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elif op == "$lt":
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conditions.append(field < op_value)
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elif op == "$gte":
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conditions.append(field >= op_value)
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elif op == "$lte":
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conditions.append(field <= op_value)
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elif op == "$ne":
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conditions.append(field != op_value)
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elif op == "$in":
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conditions.append(field.in_(op_value))
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elif op == "$nin":
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conditions.append(field.not_in(op_value))
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else:
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logger.warning(
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f"计数时,过滤器中遇到未知操作符 '{op}' (字段: '{key}')。将跳过此操作符。"
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)
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else:
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# 直接相等比较
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conditions.append(field == value)
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else:
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logger.warning(f"计数时,过滤器键 '{key}' 在 Messages 模型中未找到。将跳过此条件。")
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if conditions:
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