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https://github.com/csunny/DB-GPT.git
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chore: Modify database key
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@@ -98,7 +98,8 @@ CREATE TABLE IF NOT EXISTS `chat_history`
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`gmt_created` timestamp NULL DEFAULT CURRENT_TIMESTAMP COMMENT 'created time',
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`gmt_modified` timestamp NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT 'update time',
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UNIQUE KEY `conv_uid` (`conv_uid`),
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PRIMARY KEY (`id`)
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PRIMARY KEY (`id`),
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KEY `idx_chat_his_app_code` (`app_code`)
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) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT 'Chat history';
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CREATE TABLE IF NOT EXISTS `chat_history_message`
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@@ -446,7 +447,7 @@ CREATE TABLE `recommend_question` (
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`params` text DEFAULT NULL COMMENT 'question param',
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`is_hot_question` varchar(10) DEFAULT 'false' COMMENT 'Is it a popular recommendation question?',
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PRIMARY KEY (`id`),
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KEY `idx_app_code` (`app_code`)
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KEY `idx_rec_q_app_code` (`app_code`)
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) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT="AI application related recommendation issues";
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-- dbgpt.user_recent_apps definition
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@@ -459,7 +460,7 @@ CREATE TABLE `user_recent_apps` (
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`user_code` varchar(255) DEFAULT NULL COMMENT 'user code',
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`sys_code` varchar(255) DEFAULT NULL COMMENT 'system app code',
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PRIMARY KEY (`id`),
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KEY `idx_app_code` (`app_code`),
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KEY `idx_user_r_app_code` (`app_code`),
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KEY `idx_last_accessed` (`last_accessed`),
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KEY `idx_user_code` (`user_code`)
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) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='User recently used apps'
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@@ -52,7 +52,7 @@ CREATE TABLE `recommend_question` (
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`params` text DEFAULT NULL COMMENT 'question param',
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`is_hot_question` varchar(10) DEFAULT 'false' COMMENT 'Is it a popular recommendation question?',
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PRIMARY KEY (`id`),
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KEY `idx_app_code` (`app_code`)
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KEY `idx_rec_q_app_code` (`app_code`)
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) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT="AI application related recommendation issues";
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-- dbgpt.user_recent_apps definition
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@@ -65,7 +65,7 @@ CREATE TABLE `user_recent_apps` (
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`user_code` varchar(255) DEFAULT NULL COMMENT 'user code',
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`sys_code` varchar(255) DEFAULT NULL COMMENT 'system app code',
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PRIMARY KEY (`id`),
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KEY `idx_app_code` (`app_code`),
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KEY `idx_user_r_app_code` (`app_code`),
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KEY `idx_last_accessed` (`last_accessed`),
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KEY `idx_user_code` (`user_code`)
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) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='User recently used apps';
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@@ -87,7 +87,7 @@ class RecommendQuestionEntity(Model):
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default=False,
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comment="hot question would be displayed on the main page.",
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)
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__table_args__ = (Index("idx_app_code", "app_code"),)
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__table_args__ = (Index("idx_rec_q_app_code", "app_code"),)
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class RecommendQuestionDao(BaseDao):
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@@ -268,7 +268,7 @@ class UserRecentAppsEntity(Model):
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)
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last_accessed = Column(DateTime, default=None, comment="last access time")
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__table_args__ = (
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Index("idx_app_code", "app_code"),
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Index("idx_user_r_app_code", "app_code"),
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Index("idx_user_code", "user_code"),
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Index("idx_last_accessed", "last_accessed"),
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)
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@@ -451,9 +451,11 @@ class UserRecentAppsDao(BaseDao):
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"sys_code": sys_code,
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"user_code": user_code,
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"last_accessed": last_accessed,
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"gmt_create": existing_app.gmt_create
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if existing_app
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else new_app.gmt_create,
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"gmt_create": (
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existing_app.gmt_create
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if existing_app
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else new_app.gmt_create
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),
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"gmt_modified": last_accessed,
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}
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)
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@@ -655,9 +657,9 @@ class GptsAppDao(BaseDao):
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apps = sorted(
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apps,
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key=lambda obj: float("-inf")
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if obj.hot_value is None
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else obj.hot_value,
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key=lambda obj: (
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float("-inf") if obj.hot_value is None else obj.hot_value
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),
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reverse=True,
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)
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app_resp.total_count = total_count
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@@ -696,19 +698,19 @@ class GptsAppDao(BaseDao):
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for item in app_details
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],
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"published": app_info.published,
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"param_need": json.loads(app_info.param_need)
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if app_info.param_need
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else None,
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"hot_value": hot_app_map.get(app_info.app_code, 0)
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if hot_app_map is not None
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else 0,
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"param_need": (
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json.loads(app_info.param_need) if app_info.param_need else None
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),
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"hot_value": (
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hot_app_map.get(app_info.app_code, 0) if hot_app_map is not None else 0
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),
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"owner_name": app_info.user_code,
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"owner_avatar_url": owner_avatar_url,
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"recommend_questions": [
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RecommendQuestion.from_entity(item) for item in recommend_questions
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]
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if recommend_questions
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else [],
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"recommend_questions": (
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[RecommendQuestion.from_entity(item) for item in recommend_questions]
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if recommend_questions
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else []
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),
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"admins": [],
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}
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@@ -848,9 +850,9 @@ class GptsAppDao(BaseDao):
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updated_at=gpts_app.updated_at,
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icon=gpts_app.icon,
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published="true" if gpts_app.published else "false",
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param_need=json.dumps(gpts_app.param_need)
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if gpts_app.param_need
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else None,
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param_need=(
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json.dumps(gpts_app.param_need) if gpts_app.param_need else None
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),
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)
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session.add(app_entity)
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@@ -869,9 +871,11 @@ class GptsAppDao(BaseDao):
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resources=json.dumps(resource_dicts, ensure_ascii=False),
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prompt_template=item.prompt_template,
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llm_strategy=item.llm_strategy,
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llm_strategy_value=None
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if item.llm_strategy_value is None
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else json.dumps(tuple(item.llm_strategy_value.split(","))),
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llm_strategy_value=(
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None
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if item.llm_strategy_value is None
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else json.dumps(tuple(item.llm_strategy_value.split(",")))
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),
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created_at=item.created_at,
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updated_at=item.updated_at,
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)
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@@ -936,9 +940,11 @@ class GptsAppDao(BaseDao):
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resources=json.dumps(resource_dicts, ensure_ascii=False),
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prompt_template=item.prompt_template,
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llm_strategy=item.llm_strategy,
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llm_strategy_value=None
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if item.llm_strategy_value is None
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else json.dumps(tuple(item.llm_strategy_value.split(","))),
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llm_strategy_value=(
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None
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if item.llm_strategy_value is None
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else json.dumps(tuple(item.llm_strategy_value.split(",")))
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),
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created_at=item.created_at,
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updated_at=item.updated_at,
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)
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@@ -1,4 +1,5 @@
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"""Chat history database model."""
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import logging
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from datetime import datetime
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from typing import Optional
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@@ -56,7 +57,7 @@ class ChatHistoryEntity(Model):
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Index("idx_q_user", "user_name")
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Index("idx_q_mode", "chat_mode")
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Index("idx_q_conv", "summary")
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Index("idx_app_code", "app_code")
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Index("idx_chat_his_app_code", "app_code")
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class ChatHistoryMessageEntity(Model):
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