Files
ulleo 3fd6fa867d feat: implement LLM keyword extraction and fusion scoring for table matching
- Add extract_keywords() to LLMService with conversation context support,
  using process_stream + start_log/end_log for logging consistency
- Add expand_with_terminology() to expand keywords with synonym matching
- Add fusion scoring in calc_table_embedding(): α * vec_score + (1-α) * keyword_score
- Add calc_keyword_score() with multi-level matching:
  table name exact (1.0), comment exact (0.9), comment substring (0.7),
  table name partial (0.25-0.5), field comment exact (0.5),
  field comment substring (0.4), field name partial (0.3)
- Scoring considers keyword coverage rate to differentiate tables
  with different numbers of matched keywords
- Extracted keywords persisted to ChatRecord for reuse across endpoints
- get_terminology_template() supports comma-separated keyword input
  with per-keyword matching for higher precision
- Add TABLE_EMBEDDING_ALPHA and TABLE_EMBEDDING_KEYWORD_ENABLED config
2026-09-14 17:51:45 +08:00

1220 lines
44 KiB
Python

import datetime
from decimal import Decimal
from typing import List, Optional, Union, Dict, Any
import orjson
import sqlparse
from sqlalchemy import and_, select, update
from sqlalchemy import desc, func
from sqlalchemy.orm import aliased
from apps.chat.models.chat_model import Chat, ChatRecord, CreateChat, ChatInfo, RenameChat, ChatQuestion, ChatLog, \
TypeEnum, OperationEnum, ChatRecordResult, ChatLogHistory, ChatLogHistoryItem, ChatItem
from apps.datasource.crud.datasource import get_ds
from apps.datasource.crud.recommended_problem import get_datasource_recommended_chart
from apps.datasource.models.datasource import CoreDatasource
from apps.db.constant import DB
from apps.db.db import exec_sql
from apps.system.crud.assistant import AssistantOutDs, AssistantOutDsFactory
from apps.system.schemas.system_schema import AssistantOutDsSchema
from common.core.deps import CurrentAssistant, SessionDep, CurrentUser, Trans
from common.utils.data_format import DataFormat
from common.utils.utils import extract_nested_json, SQLBotLogUtil
def get_chat_record_by_id(session: SessionDep, record_id: int):
record: ChatRecord | None = None
stmt = select(ChatRecord.id, ChatRecord.question, ChatRecord.chat_id, ChatRecord.datasource, ChatRecord.engine_type,
ChatRecord.ai_modal_id, ChatRecord.create_by).where(
and_(ChatRecord.id == record_id))
result = session.execute(stmt)
for r in result:
record = ChatRecord(id=r.id, question=r.question, chat_id=r.chat_id, datasource=r.datasource,
engine_type=r.engine_type, ai_modal_id=r.ai_modal_id, create_by=r.create_by)
return record
def get_chat(session: SessionDep, chat_id: int) -> Chat:
statement = select(Chat).where(Chat.id == chat_id)
chat = session.exec(statement).scalars().first()
return chat
def list_chats(session: SessionDep, current_user: CurrentUser) -> List[ChatItem]:
oid = current_user.oid if current_user.oid is not None else 1
# 子查询:获取每个chat对应的最新chat_record的create_time
latest_record_subq = (
session.query(
ChatRecord.chat_id,
func.max(ChatRecord.create_time).label('latest_record_time')
)
.group_by(ChatRecord.chat_id)
.subquery()
)
# 按最新chat_record的create_time排序,如果没有chat_record则使用chat自身的create_time
sort_time = func.coalesce(latest_record_subq.c.latest_record_time, Chat.create_time)
results = (
session.query(Chat, sort_time.label('latest_record_time'))
.outerjoin(latest_record_subq, Chat.id == latest_record_subq.c.chat_id)
.filter(and_(Chat.create_by == current_user.id, Chat.oid == oid))
.order_by(sort_time.desc())
.all()
)
chart_list = []
for chat, latest_record_time in results:
item = ChatItem(**chat.model_dump())
item.latest_record_time = latest_record_time
chart_list.append(item)
return chart_list
def list_recent_questions(session: SessionDep, current_user: CurrentUser, datasource_id: int) -> List[str]:
chat_records = (
session.query(
ChatRecord.question
)
.join(Chat, ChatRecord.chat_id == Chat.id) # 关联Chat表
.filter(
Chat.datasource == datasource_id, # 使用Chat表的datasource字段
ChatRecord.question.isnot(None),
ChatRecord.create_by == current_user.id
)
.group_by(ChatRecord.question)
.order_by(desc(func.max(ChatRecord.create_time)))
.limit(10)
.all()
)
return [record[0] for record in chat_records] if chat_records else []
def rename_chat_with_user(session: SessionDep, current_user: CurrentUser, rename_object: RenameChat) -> str:
chat = session.get(Chat, rename_object.id)
if not chat:
raise Exception(f"Chat with id {rename_object.id} not found")
if chat.create_by != current_user.id:
raise Exception(f"Chat with id {rename_object.id} not Owned by the current user")
chat.brief = rename_object.brief.strip()[:20]
chat.brief_generate = rename_object.brief_generate
session.add(chat)
session.flush()
session.refresh(chat)
brief = chat.brief
session.commit()
return brief
def rename_chat(session: SessionDep, rename_object: RenameChat) -> str:
chat = session.get(Chat, rename_object.id)
if not chat:
raise Exception(f"Chat with id {rename_object.id} not found")
chat.brief = rename_object.brief.strip()[:20]
chat.brief_generate = rename_object.brief_generate
session.add(chat)
session.flush()
session.refresh(chat)
brief = chat.brief
session.commit()
return brief
def delete_chat(session, chart_id) -> str:
chat = session.query(Chat).filter(Chat.id == chart_id).first()
if not chat:
return f'Chat with id {chart_id} has been deleted'
session.delete(chat)
session.commit()
return f'Chat with id {chart_id} has been deleted'
def delete_chat_with_user(session, current_user: CurrentUser, chart_id) -> str:
chat = session.query(Chat).filter(Chat.id == chart_id).first()
if not chat:
return f'Chat with id {chart_id} has been deleted'
if chat.create_by != current_user.id:
raise Exception(f"Chat with id {chart_id} not Owned by the current user")
session.delete(chat)
session.commit()
return f'Chat with id {chart_id} has been deleted'
def get_chart_config(session: SessionDep, chart_record_id: int):
stmt = select(ChatRecord.chart).where(and_(ChatRecord.id == chart_record_id))
res = session.execute(stmt)
for row in res:
try:
return orjson.loads(row.chart)
except Exception:
pass
return {}
def _format_column(column: dict) -> str:
"""格式化单个column字段"""
value = column.get('value', '')
name = column.get('name', '')
if value != name and name:
return f"{value}({name})"
return value
def format_chart_fields(chart_info: dict) -> list:
fields = []
# 处理 columns
for column in chart_info.get('columns') or []:
fields.append(_format_column(column))
# 处理 axis
if axis := chart_info.get('axis'):
# 处理 x 轴
if x_axis := axis.get('x'):
fields.append(_format_column(x_axis))
# 处理 y 轴
if y_axis := axis.get('y'):
if isinstance(y_axis, list):
for column in y_axis:
fields.append(_format_column(column))
else:
fields.append(_format_column(y_axis))
# 处理 series
if series := axis.get('series'):
fields.append(_format_column(series))
return [field for field in fields if field] # 过滤空字符串
def get_last_execute_sql_error(session: SessionDep, chart_id: int):
stmt = select(ChatRecord.error).where(and_(ChatRecord.chat_id == chart_id)).order_by(
ChatRecord.create_time.desc()).limit(1)
res = session.execute(stmt).scalar()
if res:
try:
obj = orjson.loads(res)
if obj.get('type') and obj.get('type') == 'exec-sql-err':
return obj.get('traceback')
except Exception:
pass
return None
def format_json_data(origin_data: dict):
result = {'fields': origin_data.get('fields') if origin_data.get('fields') else [],
'fields_info': origin_data.get('fields_info') if origin_data.get('fields_info') else None}
_list = origin_data.get('data') if origin_data.get('data') else []
data = format_json_list_data(_list)
result['data'] = data
return result
def format_json_list_data(origin_data: list[dict]):
data = []
for _data in origin_data if origin_data else []:
_row = {}
for key, value in _data.items():
if value is not None:
# 检查是否为数字且需要特殊处理
if isinstance(value, (int, float)):
# 整数且超过15位 → 转字符串并标记为文本列
if isinstance(value, int) and len(str(abs(value))) > 15:
value = str(value)
# 小数且超过15位有效数字 → 转字符串并标记为文本列
elif isinstance(value, float):
decimal_str = str(Decimal(str(value))).rstrip('0').rstrip('.')
if len(decimal_str) > 15:
value = str(value)
_row[key] = value
data.append(DataFormat.normalize_qualified_sql_column_keys(_row))
return data
def get_chat_chart_config(session: SessionDep, chat_record_id: int):
stmt = select(ChatRecord.chart).where(and_(ChatRecord.id == chat_record_id))
res = session.execute(stmt)
for row in res:
try:
return orjson.loads(row.chart)
except Exception:
pass
return {}
def get_chart_data_with_user(session: SessionDep, current_user: CurrentUser, chat_record_id: int):
stmt = select(ChatRecord.data).where(and_(ChatRecord.id == chat_record_id, ChatRecord.create_by == current_user.id))
res = session.execute(stmt)
for row in res:
try:
return orjson.loads(row.data)
except Exception:
pass
return {}
def get_chart_data_with_user_live(session: SessionDep, current_user: CurrentUser, chat_record_id: int):
stmt = select(ChatRecord.datasource, ChatRecord.sql).where(
and_(ChatRecord.id == chat_record_id, ChatRecord.create_by == current_user.id))
row = session.execute(stmt).first()
return get_chart_data_ds(session, row.datasource, row.sql)
def get_chart_data_ds(session: SessionDep, ds_id, sql):
json_result: Dict[str, Any] = {'status': 'success', 'data': [], 'message': ''}
try:
datasource = get_ds(session, ds_id)
if datasource is None:
json_result['status'] = 'failed'
json_result['message'] = 'Datasource not found'
return json_result
else:
result = exec_sql(ds=datasource, sql=sql, origin_column=False)
_data = DataFormat.convert_large_numbers_in_object_array(result.get('data'))
_data = DataFormat.normalize_qualified_sql_column_keys_in_object_array(_data)
json_result['data'] = _data
return json_result
except Exception as e:
SQLBotLogUtil.error(f"Function failed: {e}")
json_result['status'] = 'failed'
json_result['message'] = f"{e}"
pass
return json_result
def get_chat_chart_data(session: SessionDep, chat_record_id: int):
stmt = select(ChatRecord.data).where(and_(ChatRecord.id == chat_record_id))
res = session.execute(stmt)
for row in res:
try:
return orjson.loads(row.data)
except Exception:
pass
return {}
def get_chat_predict_data_with_user(session: SessionDep, current_user: CurrentUser, chat_record_id: int):
stmt = select(ChatRecord.predict_data).where(
and_(ChatRecord.id == chat_record_id, ChatRecord.create_by == current_user.id))
res = session.execute(stmt)
for row in res:
try:
return orjson.loads(row.predict_data)
except Exception:
pass
return {}
def get_chat_predict_data(session: SessionDep, chat_record_id: int):
stmt = select(ChatRecord.predict_data).where(and_(ChatRecord.id == chat_record_id))
res = session.execute(stmt)
for row in res:
try:
return orjson.loads(row.predict_data)
except Exception:
pass
return {}
def get_chat_with_records_with_data(session: SessionDep, chart_id: int, current_user: CurrentUser,
current_assistant: CurrentAssistant) -> ChatInfo:
return get_chat_with_records(session, chart_id, current_user, current_assistant, True)
dynamic_ds_types = [1, 3]
def get_chat_with_records(session: SessionDep, chart_id: int, current_user: CurrentUser,
current_assistant: CurrentAssistant, with_data: bool = False,
trans: Trans = None) -> ChatInfo:
chat = session.get(Chat, chart_id)
if not chat:
raise Exception(f"Chat with id {chart_id} not found")
if chat.create_by != current_user.id:
raise Exception(f"Chat with id {chart_id} not Owned by the current user")
chat_info = ChatInfo(**chat.model_dump())
if current_assistant and current_assistant.type in dynamic_ds_types:
out_ds_instance = AssistantOutDsFactory.get_instance(current_assistant)
ds = out_ds_instance.get_ds(chat.datasource, trans)
else:
ds = session.get(CoreDatasource, chat.datasource) if chat.datasource else None
if not ds:
chat_info.datasource_exists = False
chat_info.datasource_name = 'Datasource not exist'
else:
chat_info.datasource_exists = True
chat_info.datasource_name = ds.name
chat_info.ds_type = ds.type
sql_alias_log = aliased(ChatLog)
chart_alias_log = aliased(ChatLog)
analysis_alias_log = aliased(ChatLog)
predict_alias_log = aliased(ChatLog)
stmt = (select(ChatRecord.id, ChatRecord.chat_id, ChatRecord.create_time, ChatRecord.finish_time,
ChatRecord.question, ChatRecord.sql_answer, ChatRecord.sql, ChatRecord.datasource,
ChatRecord.chart_answer, ChatRecord.chart, ChatRecord.analysis, ChatRecord.predict,
ChatRecord.datasource_select_answer, ChatRecord.analysis_record_id, ChatRecord.predict_record_id,
ChatRecord.regenerate_record_id,
ChatRecord.recommended_question, ChatRecord.first_chat,
ChatRecord.finish, ChatRecord.error,
sql_alias_log.reasoning_content.label('sql_reasoning_content'),
chart_alias_log.reasoning_content.label('chart_reasoning_content'),
analysis_alias_log.reasoning_content.label('analysis_reasoning_content'),
predict_alias_log.reasoning_content.label('predict_reasoning_content')
)
.outerjoin(sql_alias_log, and_(sql_alias_log.pid == ChatRecord.id,
sql_alias_log.type == TypeEnum.CHAT,
sql_alias_log.operate == OperationEnum.GENERATE_SQL))
.outerjoin(chart_alias_log, and_(chart_alias_log.pid == ChatRecord.id,
chart_alias_log.type == TypeEnum.CHAT,
chart_alias_log.operate == OperationEnum.GENERATE_CHART))
.outerjoin(analysis_alias_log, and_(analysis_alias_log.pid == ChatRecord.id,
analysis_alias_log.type == TypeEnum.CHAT,
analysis_alias_log.operate == OperationEnum.ANALYSIS))
.outerjoin(predict_alias_log, and_(predict_alias_log.pid == ChatRecord.id,
predict_alias_log.type == TypeEnum.CHAT,
predict_alias_log.operate == OperationEnum.PREDICT_DATA))
.where(and_(ChatRecord.create_by == current_user.id, ChatRecord.chat_id == chart_id)).order_by(
ChatRecord.create_time))
if with_data:
stmt = select(ChatRecord.id, ChatRecord.chat_id, ChatRecord.create_time, ChatRecord.finish_time,
ChatRecord.question, ChatRecord.sql_answer, ChatRecord.sql, ChatRecord.datasource,
ChatRecord.chart_answer, ChatRecord.chart, ChatRecord.analysis, ChatRecord.predict,
ChatRecord.datasource_select_answer, ChatRecord.analysis_record_id, ChatRecord.predict_record_id,
ChatRecord.regenerate_record_id,
ChatRecord.recommended_question, ChatRecord.first_chat,
ChatRecord.finish, ChatRecord.error, ChatRecord.data, ChatRecord.predict_data).where(
and_(ChatRecord.create_by == current_user.id, ChatRecord.chat_id == chart_id)).order_by(
ChatRecord.create_time)
result = session.execute(stmt).all()
record_list: list[ChatRecordResult] = []
# 批量获取所有ChatRecord的token消耗
record_ids = [row.id for row in result]
token_usage_map = {}
if record_ids:
# 查询所有相关ChatLog的token_usage
log_stmt = select(ChatLog.pid, ChatLog.token_usage).where(
and_(
ChatLog.pid.in_(record_ids),
ChatLog.local_operation == False,
ChatLog.operate != OperationEnum.GENERATE_RECOMMENDED_QUESTIONS,
ChatLog.token_usage.is_not(None) # 排除token_usage为空的记录
)
)
log_results = session.execute(log_stmt).all()
# 按pid分组计算total_tokens总和
for pid, token_usage in log_results:
if pid and token_usage is not None:
tokens_to_add = 0
if isinstance(token_usage, dict):
# 处理字典类型: {"input_tokens": 961, "total_tokens": 1006, "output_tokens": 45}
if token_usage: # 非空字典
if "total_tokens" in token_usage:
token_value = token_usage["total_tokens"]
if isinstance(token_value, (int, float)):
tokens_to_add = int(token_value)
elif isinstance(token_usage, (int, float)):
tokens_to_add = int(token_usage)
if tokens_to_add > 0:
if pid not in token_usage_map:
token_usage_map[pid] = 0
token_usage_map[pid] += tokens_to_add
for row in result:
# 计算耗时
duration = None
if row.create_time and row.finish_time:
try:
time_diff = row.finish_time - row.create_time
duration = time_diff.total_seconds() # 转换为秒
except Exception:
duration = None
# 获取token总消耗
total_tokens = token_usage_map.get(row.id, 0)
if not with_data:
record_list.append(
ChatRecordResult(id=row.id, chat_id=row.chat_id, create_time=row.create_time,
finish_time=row.finish_time,
duration=duration,
total_tokens=total_tokens,
question=row.question, sql_answer=row.sql_answer, sql=row.sql,
datasource=row.datasource,
chart_answer=row.chart_answer, chart=row.chart,
analysis=row.analysis, predict=row.predict,
datasource_select_answer=row.datasource_select_answer,
analysis_record_id=row.analysis_record_id, predict_record_id=row.predict_record_id,
regenerate_record_id=row.regenerate_record_id,
recommended_question=row.recommended_question, first_chat=row.first_chat,
finish=row.finish, error=row.error,
sql_reasoning_content=row.sql_reasoning_content,
chart_reasoning_content=row.chart_reasoning_content,
analysis_reasoning_content=row.analysis_reasoning_content,
predict_reasoning_content=row.predict_reasoning_content,
))
else:
record_list.append(
ChatRecordResult(id=row.id, chat_id=row.chat_id, create_time=row.create_time,
finish_time=row.finish_time,
duration=duration,
total_tokens=total_tokens,
question=row.question, sql_answer=row.sql_answer, sql=row.sql,
datasource=row.datasource,
chart_answer=row.chart_answer, chart=row.chart,
analysis=row.analysis, predict=row.predict,
datasource_select_answer=row.datasource_select_answer,
analysis_record_id=row.analysis_record_id, predict_record_id=row.predict_record_id,
regenerate_record_id=row.regenerate_record_id,
recommended_question=row.recommended_question, first_chat=row.first_chat,
finish=row.finish, error=row.error, data=row.data, predict_data=row.predict_data))
result = list(map(format_record, record_list))
for row in result:
try:
data_value = row.get('data')
if data_value is not None:
row['data'] = format_json_data(data_value)
except Exception:
pass
chat_info.records = result
# 从已查出的records中取最新的create_time
record_times = [r.get('create_time') for r in result if r.get('create_time') is not None]
if record_times:
chat_info.latest_record_time = max(record_times)
return chat_info
def format_record(record: ChatRecordResult):
_dict = record.model_dump()
if record.sql_answer and record.sql_answer.strip() != '' and record.sql_answer.strip()[0] == '{' and \
record.sql_answer.strip()[-1] == '}':
_obj = orjson.loads(record.sql_answer)
_dict['sql_answer'] = _obj.get('reasoning_content')
if record.sql_reasoning_content and record.sql_reasoning_content.strip() != '':
_dict['sql_answer'] = record.sql_reasoning_content
if record.chart_answer and record.chart_answer.strip() != '' and record.chart_answer.strip()[0] == '{' and \
record.chart_answer.strip()[-1] == '}':
_obj = orjson.loads(record.chart_answer)
_dict['chart_answer'] = _obj.get('reasoning_content')
if record.chart_reasoning_content and record.chart_reasoning_content.strip() != '':
_dict['chart_answer'] = record.chart_reasoning_content
if record.analysis and record.analysis.strip() != '' and record.analysis.strip()[0] == '{' and \
record.analysis.strip()[-1] == '}':
_obj = orjson.loads(record.analysis)
_dict['analysis_thinking'] = _obj.get('reasoning_content')
_dict['analysis'] = _obj.get('content')
if record.analysis_reasoning_content and record.analysis_reasoning_content.strip() != '':
_dict['analysis_thinking'] = record.analysis_reasoning_content
if record.predict and record.predict.strip() != '' and record.predict.strip()[0] == '{' and record.predict.strip()[
-1] == '}':
_obj = orjson.loads(record.predict)
_dict['predict'] = _obj.get('reasoning_content')
_dict['predict_content'] = _obj.get('content')
if record.predict_reasoning_content and record.predict_reasoning_content.strip() != '':
_dict['predict'] = record.predict_reasoning_content
if record.data and record.data.strip() != '':
try:
_obj = orjson.loads(record.data)
_dict['data'] = _obj
except Exception:
pass
if record.predict_data and record.predict_data.strip() != '':
try:
_obj = orjson.loads(record.predict_data)
_dict['predict_data'] = _obj
except Exception:
pass
if record.sql and record.sql.strip() != '':
try:
_dict['sql'] = sqlparse.format(record.sql, reindent=True)
except Exception:
pass
# 格式化duration字段,保留2位小数
if 'duration' in _dict and _dict['duration'] is not None:
try:
# 可以格式化为更易读的形式
_dict['duration'] = round(_dict['duration'], 2) # 保留2位小数
except Exception:
pass
# 格式化total_tokens字段
if 'total_tokens' in _dict and _dict['total_tokens'] is not None:
try:
# 确保是整数类型
_dict['total_tokens'] = int(_dict['total_tokens']) if _dict['total_tokens'] else 0
except Exception:
_dict['total_tokens'] = 0
# 去除返回前端多余的字段
_dict.pop('sql_reasoning_content', None)
_dict.pop('chart_reasoning_content', None)
_dict.pop('analysis_reasoning_content', None)
_dict.pop('predict_reasoning_content', None)
return _dict
def get_chat_log_history(session: SessionDep, chat_record_id: int, current_user: CurrentUser,
without_steps: bool = False) -> ChatLogHistory:
"""
获取ChatRecord的详细历史记录
Args:
session: 数据库会话
chat_record_id: ChatRecord的ID
current_user: 当前用户
without_steps
Returns:
ChatLogHistory: 包含历史步骤和时间信息的对象
"""
# 1. 首先验证ChatRecord存在且属于当前用户
chat_record = session.get(ChatRecord, chat_record_id)
if not chat_record:
raise Exception(f"ChatRecord with id {chat_record_id} not found")
if chat_record.create_by != current_user.id:
raise Exception(f"ChatRecord with id {chat_record_id} not owned by the current user")
# 2. 查询与该ChatRecord相关的所有ChatLog记录
chat_logs = session.query(ChatLog).filter(
ChatLog.pid == chat_record_id,
ChatLog.operate != OperationEnum.GENERATE_RECOMMENDED_QUESTIONS
).order_by(ChatLog.start_time).all()
# 3. 计算总的时间和token信息
total_tokens = 0
steps = []
for log in chat_logs:
# 计算单条记录的token消耗
log_tokens = 0
if log.token_usage is not None:
if isinstance(log.token_usage, dict):
if log.token_usage and "total_tokens" in log.token_usage:
token_value = log.token_usage["total_tokens"]
if isinstance(token_value, (int, float)):
log_tokens = int(token_value)
elif isinstance(log.token_usage, (int, float)):
log_tokens = log.token_usage
# 累加到总token消耗
total_tokens += log_tokens
if not without_steps:
# 计算单条记录的耗时
duration = None
if log.start_time and log.finish_time:
try:
time_diff = log.finish_time - log.start_time
duration = round(time_diff.total_seconds(), 2)
except Exception:
duration = None
# 获取操作类型的枚举名称
operate_name = None
message = None
if log.operate:
# 如果是OperationEnum枚举实例
if isinstance(log.operate, OperationEnum):
operate_name = log.operate.name
# 如果是字符串,尝试从枚举值获取名称
elif isinstance(log.operate, str):
try:
# 通过枚举值找到对应的枚举实例
for enum_item in OperationEnum:
if enum_item.value == log.operate:
operate_name = enum_item.name
break
except Exception:
operate_name = log.operate
else:
operate_name = str(log.operate)
if log.messages is not None:
message = log.messages
if not log.operate == OperationEnum.CHOOSE_TABLE:
try:
message = orjson.loads(log.messages)
except Exception:
pass
# 创建ChatLogHistoryItem
history_item = ChatLogHistoryItem(
start_time=log.start_time,
finish_time=log.finish_time,
duration=duration,
total_tokens=log_tokens,
operate=operate_name,
local_operation=log.local_operation,
error=log.error,
message=message,
)
steps.append(history_item)
# 4. 计算总耗时(使用ChatRecord的时间)
total_duration = None
if chat_record.create_time and chat_record.finish_time:
try:
time_diff = chat_record.finish_time - chat_record.create_time
total_duration = round(time_diff.total_seconds(), 2)
except Exception:
total_duration = None
# 5. 创建并返回ChatLogHistory对象
chat_log_history = ChatLogHistory(
start_time=chat_record.create_time, # 使用ChatRecord的create_time
finish_time=chat_record.finish_time, # 使用ChatRecord的finish_time
duration=total_duration,
total_tokens=total_tokens,
steps=steps
)
return chat_log_history
def get_chat_brief_generate(session: SessionDep, chat_id: int):
chat = get_chat(session=session, chat_id=chat_id)
if chat is not None and chat.brief_generate is not None:
return chat.brief_generate
else:
return False
def list_generate_sql_logs(session: SessionDep, chart_id: int) -> List[ChatLog]:
stmt = select(ChatLog).where(
and_(ChatLog.pid.in_(select(ChatRecord.id).where(and_(ChatRecord.chat_id == chart_id))),
ChatLog.type == TypeEnum.CHAT, ChatLog.operate == OperationEnum.GENERATE_SQL)).order_by(
ChatLog.start_time)
result = session.execute(stmt).all()
_list = []
for row in result:
for r in row:
_list.append(ChatLog(**r.model_dump()))
return _list
def list_generate_chart_logs(session: SessionDep, chart_id: int) -> List[ChatLog]:
stmt = select(ChatLog).where(
and_(ChatLog.pid.in_(select(ChatRecord.id).where(and_(ChatRecord.chat_id == chart_id))),
ChatLog.type == TypeEnum.CHAT, ChatLog.operate == OperationEnum.GENERATE_CHART)).order_by(
ChatLog.start_time)
result = session.execute(stmt).all()
_list = []
for row in result:
for r in row:
_list.append(ChatLog(**r.model_dump()))
return _list
def create_chat(session: SessionDep, current_user: CurrentUser, create_chat_obj: CreateChat,
require_datasource: bool = True, current_assistant: CurrentAssistant = None) -> ChatInfo:
if not create_chat_obj.datasource and require_datasource:
raise Exception("Datasource cannot be None")
if not create_chat_obj.question or create_chat_obj.question.strip() == '':
create_chat_obj.question = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
chat = Chat(create_time=datetime.datetime.now(),
create_by=current_user.id,
oid=current_user.oid if current_user.oid is not None else 1,
brief=create_chat_obj.question.strip()[:20],
origin=create_chat_obj.origin if create_chat_obj.origin is not None else 0)
ds: CoreDatasource | AssistantOutDsSchema | None = None
if create_chat_obj.datasource:
chat.datasource = create_chat_obj.datasource
if current_assistant and current_assistant.type == 1:
out_ds_instance: AssistantOutDs = AssistantOutDsFactory.get_instance(current_assistant)
ds = out_ds_instance.get_ds(chat.datasource)
ds.type_name = DB.get_db(ds.type)
else:
ds = session.get(CoreDatasource, create_chat_obj.datasource)
if ds.oid != current_user.oid:
raise Exception(f"Datasource with id {create_chat_obj.datasource} does not belong to current workspace")
if not ds:
raise Exception(f"Datasource with id {create_chat_obj.datasource} not found")
chat.engine_type = ds.type_name
else:
chat.engine_type = ''
chat_info = ChatInfo(**chat.model_dump())
session.add(chat)
session.flush()
session.refresh(chat)
chat_info.id = chat.id
session.commit()
if ds:
chat_info.datasource_exists = True
chat_info.datasource_name = ds.name
chat_info.ds_type = ds.type
if require_datasource and ds:
# generate first empty record
record = ChatRecord()
record.chat_id = chat.id
record.datasource = ds.id
record.engine_type = ds.type_name
record.first_chat = True
record.finish = True
record.create_time = datetime.datetime.now()
record.create_by = current_user.id
if isinstance(ds, CoreDatasource) and ds.recommended_config == 2:
questions = get_datasource_recommended_chart(session, ds.id)
record.recommended_question = orjson.dumps(questions).decode()
record.recommended_question_answer = orjson.dumps({
"content": questions
}).decode()
_record = ChatRecord(**record.model_dump())
session.add(record)
session.flush()
session.refresh(record)
_record.id = record.id
session.commit()
chat_info.records.append(_record)
return chat_info
def save_question(session: SessionDep, current_user: CurrentUser, question: ChatQuestion) -> ChatRecord:
if not question.chat_id:
raise Exception("ChatId cannot be None")
if not question.question or question.question.strip() == '':
raise Exception("Question cannot be Empty")
# chat = session.query(Chat).filter(Chat.id == question.chat_id).first()
chat: Chat = session.get(Chat, question.chat_id)
if not chat:
raise Exception(f"Chat with id {question.chat_id} not found")
record = ChatRecord()
record.question = question.question
record.chat_id = chat.id
record.create_time = datetime.datetime.now()
record.create_by = current_user.id
record.datasource = chat.datasource
record.engine_type = chat.engine_type
record.ai_modal_id = question.ai_modal_id
record.regenerate_record_id = question.regenerate_record_id
result = ChatRecord(**record.model_dump())
session.add(record)
session.flush()
session.refresh(record)
result.id = record.id
session.commit()
return result
def save_analysis_predict_record(session: SessionDep, base_record: ChatRecord, action_type: str) -> ChatRecord:
record = ChatRecord()
record.question = base_record.question
record.chat_id = base_record.chat_id
record.datasource = base_record.datasource
record.engine_type = base_record.engine_type
record.ai_modal_id = base_record.ai_modal_id
record.create_time = datetime.datetime.now()
record.create_by = base_record.create_by
record.chart = base_record.chart
record.data = base_record.data
if action_type == 'analysis':
record.analysis_record_id = base_record.id
elif action_type == 'predict':
record.predict_record_id = base_record.id
result = ChatRecord(**record.model_dump())
session.add(record)
session.flush()
session.refresh(record)
result.id = record.id
session.commit()
return result
def start_log(session: SessionDep, ai_modal_id: int = None, ai_modal_name: str = None, operate: OperationEnum = None,
record_id: int = None, full_message: Union[list[dict], dict] = None,
local_operation: bool = False) -> ChatLog:
log = ChatLog(type=TypeEnum.CHAT, operate=operate, pid=record_id, ai_modal_id=ai_modal_id, base_modal=ai_modal_name,
messages=full_message, start_time=datetime.datetime.now(), local_operation=local_operation)
result = ChatLog(**log.model_dump())
session.add(log)
session.flush()
session.refresh(log)
result.id = log.id
session.commit()
return result
def end_log(session: SessionDep, log: ChatLog, full_message: Union[list[dict], dict, str],
reasoning_content: str = None,
token_usage=None) -> ChatLog:
if token_usage is None:
token_usage = {}
log.messages = full_message
log.token_usage = token_usage
log.finish_time = datetime.datetime.now()
log.reasoning_content = reasoning_content if reasoning_content and len(reasoning_content.strip()) > 0 else None
stmt = update(ChatLog).where(and_(ChatLog.id == log.id)).values(
messages=log.messages,
token_usage=log.token_usage,
finish_time=log.finish_time,
reasoning_content=log.reasoning_content
)
session.execute(stmt)
session.commit()
return log
def trigger_log_error(session: SessionDep, log: ChatLog) -> ChatLog:
log.error = True
stmt = update(ChatLog).where(and_(ChatLog.id == log.id)).values(
error=True
)
session.execute(stmt)
session.commit()
return log
def save_sql_answer(session: SessionDep, record_id: int, answer: str) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
stmt = update(ChatRecord).where(and_(ChatRecord.id == record_id)).values(
sql_answer=answer,
)
session.execute(stmt)
session.commit()
record = get_chat_record_by_id(session, record_id)
return record
def save_extracted_keywords(session: SessionDep, record_id: int, expanded_keywords: str,
extracted_keywords: str = None) -> None:
"""保存提取的关键词到 record,供后续独立接口复用。"""
if not record_id:
return
values = {'expanded_keywords': expanded_keywords}
if extracted_keywords:
values['extracted_keywords'] = extracted_keywords
stmt = update(ChatRecord).where(and_(ChatRecord.id == record_id)).values(**values)
session.execute(stmt)
session.commit()
def save_analysis_answer(session: SessionDep, record_id: int, answer: str = '') -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
stmt = update(ChatRecord).where(and_(ChatRecord.id == record_id)).values(
analysis=answer,
)
session.execute(stmt)
session.commit()
record = get_chat_record_by_id(session, record_id)
return record
def save_predict_answer(session: SessionDep, record_id: int, answer: str) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
stmt = update(ChatRecord).where(and_(ChatRecord.id == record_id)).values(
predict=answer,
)
session.execute(stmt)
session.commit()
record = get_chat_record_by_id(session, record_id)
return record
def save_select_datasource_answer(session: SessionDep, record_id: int, answer: str,
datasource: int = None, engine_type: str = None) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
record = get_chat_record_by_id(session, record_id)
record.datasource_select_answer = answer
if datasource:
record.datasource = datasource
record.engine_type = engine_type
result = ChatRecord(**record.model_dump())
if datasource:
stmt = update(ChatRecord).where(and_(ChatRecord.id == record.id)).values(
datasource_select_answer=record.datasource_select_answer,
datasource=record.datasource,
engine_type=record.engine_type,
)
else:
stmt = update(ChatRecord).where(and_(ChatRecord.id == record.id)).values(
datasource_select_answer=record.datasource_select_answer,
)
session.execute(stmt)
session.commit()
return result
def save_recommend_question_answer(session: SessionDep, record_id: int,
answer: dict = None, articles_number: Optional[int] = 4) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
recommended_question_answer = orjson.dumps(answer).decode()
json_str = '[]'
if answer and answer.get('content') and answer.get('content') != '':
try:
json_str = extract_nested_json(answer.get('content'))
if not json_str:
json_str = '[]'
except Exception as e:
pass
recommended_question = json_str
stmt = update(ChatRecord).where(and_(ChatRecord.id == record_id)).values(
recommended_question_answer=recommended_question_answer,
recommended_question=recommended_question,
)
session.execute(stmt)
session.commit()
record = get_chat_record_by_id(session, record_id)
record.recommended_question_answer = recommended_question_answer
record.recommended_question = recommended_question
if articles_number > 4:
stmt_chat = update(Chat).where(and_(Chat.id == record.chat_id)).values(
recommended_question_answer=recommended_question_answer,
recommended_question=recommended_question,
recommended_generate=True
)
session.execute(stmt_chat)
session.commit()
return record
def save_sql(session: SessionDep, record_id: int, sql: str) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
record = get_chat_record_by_id(session, record_id)
record.sql = sql
result = ChatRecord(**record.model_dump())
stmt = update(ChatRecord).where(and_(ChatRecord.id == record.id)).values(
sql=record.sql
)
session.execute(stmt)
session.commit()
return result
def save_chart_answer(session: SessionDep, record_id: int, answer: str) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
stmt = update(ChatRecord).where(and_(ChatRecord.id == record_id)).values(
chart_answer=answer,
)
session.execute(stmt)
session.commit()
record = get_chat_record_by_id(session, record_id)
return record
def save_chart(session: SessionDep, record_id: int, chart: str) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
record = get_chat_record_by_id(session, record_id)
record.chart = chart
result = ChatRecord(**record.model_dump())
stmt = update(ChatRecord).where(and_(ChatRecord.id == record.id)).values(
chart=record.chart
)
session.execute(stmt)
session.commit()
return result
def save_predict_data(session: SessionDep, record_id: int, data: str = '') -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
record = get_chat_record_by_id(session, record_id)
record.predict_data = data
result = ChatRecord(**record.model_dump())
stmt = update(ChatRecord).where(and_(ChatRecord.id == record.id)).values(
predict_data=record.predict_data
)
session.execute(stmt)
session.commit()
return result
def save_error_message(session: SessionDep, record_id: int, message: str) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
record = get_chat_record_by_id(session, record_id)
record.error = message
record.finish = True
record.finish_time = datetime.datetime.now()
result = ChatRecord(**record.model_dump())
stmt = update(ChatRecord).where(and_(ChatRecord.id == record.id)).values(
error=record.error,
finish=record.finish,
finish_time=record.finish_time
)
session.execute(stmt)
session.commit()
# log error finish
stmt = update(ChatLog).where(and_(ChatLog.pid == record.id, ChatLog.finish_time.is_(None))).values(
finish_time=record.finish_time,
error=True
)
session.execute(stmt)
session.commit()
return result
def save_sql_exec_data(session: SessionDep, record_id: int, data: str) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
record = get_chat_record_by_id(session, record_id)
record.data = data
result = ChatRecord(**record.model_dump())
stmt = update(ChatRecord).where(and_(ChatRecord.id == record.id)).values(
data=record.data,
)
session.execute(stmt)
session.commit()
return result
def finish_record(session: SessionDep, record_id: int) -> ChatRecord:
if not record_id:
raise Exception("Record id cannot be None")
record = get_chat_record_by_id(session, record_id)
record.finish = True
record.finish_time = datetime.datetime.now()
result = ChatRecord(**record.model_dump())
stmt = update(ChatRecord).where(and_(ChatRecord.id == record.id)).values(
finish=record.finish,
finish_time=record.finish_time
)
session.execute(stmt)
session.commit()
return result
def get_old_questions(session: SessionDep, datasource: int):
records = []
if not datasource:
return records
stmt = select(ChatRecord.question).where(
and_(ChatRecord.datasource == datasource, ChatRecord.question.isnot(None),
ChatRecord.error.is_(None))).order_by(
ChatRecord.create_time.desc()).limit(20)
result = session.execute(stmt)
for r in result:
records.append(r.question)
return records