BBIT-Kai
850 lines
30 KiB
Python
850 lines
30 KiB
Python
from typing import List, Dict
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from langchain_postgres import PostgresChatMessageHistory
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from config.pgDb import pg_pool
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# ————————————————————————————————————————————————————AI角色———————————————————————————————
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database_name = "ai_chat_history"
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def get_ai_personality(ai_id: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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cur.execute(
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"SELECT ai_personality FROM ai_chat_profiles WHERE id = %s", (ai_id,)
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)
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row = cur.fetchone()
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if row:
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return row[0]
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else:
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return "你是一个乐于助人的AI助手，请保持中文简洁回答用户。"
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def get_description(ai_id: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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cur.execute(
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"SELECT description FROM ai_chat_profiles WHERE id = %s", (ai_id,)
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)
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row = cur.fetchone()
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if row:
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return row[0]
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else:
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return "你是一个乐于助人的AI助手，请保持中文简洁回答用户。"
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def get_ai_available_kn_bases(ai_id: str) -> List[str]:
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with pg_pool.getConn() as conn:
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result = conn.execute(
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"SELECT available_kn_bases FROM ai_chat_profiles WHERE id = %s", (ai_id,)
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)
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return result.fetchone()[0]
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def get_all_ai_bot(user_id: str, module: str) -> List[Dict]:
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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# 查询用户角色
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cur.execute("SELECT roles FROM users WHERE id = %s", (user_id,))
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role_row = cur.fetchone()
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if not role_row:
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return [] # 用户不存在
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user_roles = role_row[0]
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# 查询 AI 角色 JSON 字段包含用户角色
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cur.execute(
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"""
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SELECT id, title, description, welcome_words, ai_personality, available_report_tables, available_kn_bases
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FROM ai_chat_profiles
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WHERE available_module = %s
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AND is_active = TRUE
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AND available_roles::jsonb ?| %s
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""",
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(module, user_roles),
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)
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rows = cur.fetchall()
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result = []
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for row in rows:
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# row 索引对应 SELECT 字段顺序
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(
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id_,
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title,
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description,
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welcome_words,
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ai_personality,
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available_report_tables,
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available_kn_bases,
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) = row
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# 解析 JSON
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roles_json = ai_personality if ai_personality else {}
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result.append(
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{
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"id": id_,
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"title": title,
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"description": description,
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"welcome_words": welcome_words,
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"name": roles_json.get("名字", ""),
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"role": roles_json.get("性格", ""),
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"service": roles_json.get("业务", ""),
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"available_report_tables": available_report_tables,
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"available_kn_bases": available_kn_bases,
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}
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)
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return result
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# ————————————————————————————————————————————————————消息———————————————————————————————
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def insert_message(session_id: str, isAI: bool, content: str):
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with pg_pool.getConn() as conn:
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history = PostgresChatMessageHistory(
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database_name, session_id, sync_connection=conn
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)
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if isAI:
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history.add_ai_message(content)
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else:
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history.add_user_message(content)
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def get_history(session_id: str):
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simplified = []
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with pg_pool.getConn() as conn:
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history = PostgresChatMessageHistory(
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database_name, session_id, sync_connection=conn
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)
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for msg in history.messages:
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simplified.append({"type": msg.type, "content": msg.content})
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return simplified
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def get_history_with_time(session_id: str, number: int):
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simplified = []
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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cur.execute(
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f"SELECT message, created_at FROM ai_chat_history WHERE session_id = '{session_id}' ORDER BY created_at DESC LIMIT {number}"
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)
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rows = cur.fetchall()
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simplified = []
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for row in rows:
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msg_dict = row[0]
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simplified.append(
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{
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"type": msg_dict.get("type"),
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"created_at": row[1].isoformat(),
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"content": msg_dict.get("data", {}).get("content"),
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}
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)
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return simplified
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# ————————————————————————————————————————————————————会话———————————————————————————————
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def insert_session(
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user_id: str, ai_id: str, session_id: str, session_title: str, available_module
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):
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with pg_pool.getConn() as coon:
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with coon.cursor() as cur:
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cur.execute(
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"INSERT INTO ai_chat_sessions (id ,user_id, ai_id, title, available_module, created_at, updated_at) VALUES (%s, %s, %s, %s,%s, NOW(), NOW())",
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(session_id, user_id, ai_id, session_title, available_module),
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)
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coon.commit()
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def update_session_updated_at(session_id: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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cur.execute(
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"UPDATE ai_chat_sessions SET updated_at = NOW() WHERE id = %s",
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(session_id,),
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)
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conn.commit()
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def get_sessions(user_id: str, available_module: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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cur.execute(
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"SELECT id, title, updated_at "
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"FROM ai_chat_sessions "
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"WHERE user_id = %s AND available_module = %s "
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"ORDER BY updated_at DESC",
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(user_id, available_module),
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)
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sessions = cur.fetchall()
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return [
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{"id": row[0], "title": row[1], "updated_at": row[2]}
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for row in sessions
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]
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# ————————————————————————————————————————————————————报表———————————————————————————————
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def get_reports(user_id: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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cur.execute(
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"SELECT id, title FROM ai_reports WHERE created_by = %s AND is_masked = TRUE ORDER BY created_at DESC",
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(user_id,),
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)
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reports = cur.fetchall()
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return [{"id": row[0], "title": row[1]} for row in reports]
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def save_report(id: str, user_id: str, title: str, sql: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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cur.execute(
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"INSERT INTO ai_reports (id, title, sql, created_at, created_by , is_masked) VALUES (%s, %s, %s, NOW(), %s, FALSE) RETURNING id",
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(id, title, sql, user_id),
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)
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report_id = cur.fetchone()[0]
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conn.commit()
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return report_id
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def maked_report(report_id: str, title: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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cur.execute(
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"UPDATE ai_reports SET title = %s, is_masked = TRUE WHERE id = %s",
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(title, report_id),
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)
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conn.commit()
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def getSQL(reportId: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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cur.execute("SELECT sql FROM ai_reports WHERE id = %s", (reportId,))
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row = cur.fetchone()
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if row:
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return row[0]
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else:
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return ""
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def get_available_tables_str(aiId: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cur:
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# 1. 先取 AI 可用的数据库表
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cur.execute(
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"SELECT available_report_tables FROM ai_chat_profiles WHERE id = %s",
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(aiId,),
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)
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role_row = cur.fetchone()
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if not role_row:
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return "无数据库表可用"
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available_tables = role_row[0] # 假设是列表
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if not available_tables:
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return "无数据库表可用"
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# 2. 构造 IN 查询占位符
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placeholders = ",".join(["%s"] * len(available_tables))
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sql_query = f"""
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SELECT id, name, description
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FROM ai_reports_tables
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WHERE id IN ({placeholders}) AND is_active = TRUE
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"""
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cur.execute(sql_query, available_tables)
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tableIds = cur.fetchall()
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# 3. 查询这些表的字段
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result = ""
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for table in tableIds:
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cur.execute(
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"SELECT name, type, description FROM ai_reports_fields WHERE table_id = %s AND is_active = TRUE",
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(table[0],),
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)
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columns = cur.fetchall()
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result += f"{table[1]}：{table[2]}\n"
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result += "字段名,数据类型,描述\n"
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for column in columns:
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result += f"{column[0]},{column[1]}, {column[2]}\n"
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result += "\n"
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return result
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# -------------------报表数据源------------------
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# 获取表
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def get_available_tables():
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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cursor.execute(
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"SELECT id, name, description,is_active FROM ai_reports_tables",
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)
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return [
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{
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"id": row[0],
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"name": row[1],
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"description": row[2],
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"is_active": row[3],
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}
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for row in cursor.fetchall()
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]
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# 新增表
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def add_table(name, description, user_id):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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cursor.execute(
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"""
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INSERT INTO ai_reports_tables (name, description, create_by)
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VALUES (%s, %s, %s)
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RETURNING id
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""",
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(name, description, user_id),
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)
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new_id = cursor.fetchone()[0] # 取返回的 id
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return new_id
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# 获取字段
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def get_fields_by_table_id(table_id):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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cursor.execute(
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"SELECT id, name, type, description, is_active FROM ai_reports_fields WHERE table_id = %s",
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(table_id,),
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)
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return [
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{
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"id": row[0],
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"name": row[1],
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"type": row[2],
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"description": row[3],
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"is_active": row[4],
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}
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for row in cursor.fetchall()
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]
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# 新增字段
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def add_field(name, type, description, is_active, table_id, user_id):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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cursor.execute(
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"INSERT INTO ai_reports_fields (name,type,description, is_active, create_by, table_id) VALUES (%s, %s, %s, %s, %s, %s) RETURNING id",
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(name, type, description, is_active, user_id, table_id),
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)
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new_id = cursor.fetchone()[0] # 取返回的 id
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return new_id
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# 新增报表智能体
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def insert_bot(
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title: str,
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description: str,
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welcome_words: str,
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ai_personality: str,
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available_module: str,
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available_report_tables: str,
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available_kn_bases: str,
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user_id: str,
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):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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available_roles = json.dumps(["user"])
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cursor.execute(
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"""
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INSERT INTO ai_chat_profiles
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(available_module,available_roles, title, description, welcome_words, ai_personality, available_report_tables, available_kn_bases, created_by, created_at)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, now())
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RETURNING id
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""",
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(
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available_module,
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available_roles,
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title,
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description,
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welcome_words,
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ai_personality,
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available_report_tables,
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available_kn_bases,
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user_id,
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),
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)
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report_id = cursor.fetchone()[0]
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return report_id
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# 更新报表智能体
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def update_bot(
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id: str,
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title: str,
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description: str,
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welcome_words: str,
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ai_personality: str,
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available_module: str,
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available_report_tables: str,
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available_kn_bases: str,
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user_id: str,
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):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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cursor.execute(
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"""
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UPDATE ai_chat_profiles
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SET title = %s,
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description = %s,
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ai_personality = %s,
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welcome_words = %s,
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available_report_tables = %s,
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available_kn_bases = %s,
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available_module = %s,
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updated_at = NOW(),
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updated_by = %s
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WHERE id = %s
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""",
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(
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title,
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description,
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ai_personality,
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welcome_words,
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available_report_tables,
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available_kn_bases,
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available_module,
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user_id,
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id,
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),
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)
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# ————————————————————————————————————————————————————知识库———————————————————————————————
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def get_available_knowledge_bases(available_module: str):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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cursor.execute(
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"""
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SELECT id, name, description, is_active
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FROM ai_knowledge
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WHERE available_module::jsonb @> %s::jsonb
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""",
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(f'["{available_module}"]',),
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)
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return [
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{
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"id": row[0],
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"name": row[1],
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"description": row[2],
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"is_active": row[3],
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}
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for row in cursor.fetchall()
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]
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def add_knowledge_base(name, description, user_id):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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cursor.execute(
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"""
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INSERT INTO ai_knowledge (name, description, created_by, created_at)
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VALUES (%s, %s, %s, now())
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RETURNING id
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""",
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(name, description, user_id),
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)
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new_id = cursor.fetchone()[0] # 取返回的 id
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return new_id
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# ————————————————————————————————————————————————————仪评指标联识别———————————————————————————————
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from config.minIO import get_temp_url
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import utils.MyUtils as MyUtils
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def get_ticket_image_list(user_id):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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cursor.execute(
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"""
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SELECT created_at, file_name, resolution, size, name,
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moisture_content, cocoon_weight, defective_pupa_count,
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fresh_shell_weight, sample_count, barcode, oss,
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net_weight_total, evaluator, reviewer,id ,dead_pupa_count
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FROM ticket_images
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WHERE created_by = %s
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""",
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(user_id,),
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)
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rows = cursor.fetchall()
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result = []
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for row in rows:
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result.append(
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{
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"created_at": MyUtils.format_datetime(row[0]),
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"file_name": row[1],
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"resolution": row[2],
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"size": round(row[3] / 1024, 2),
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"name": row[4],
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"moisture_content": row[5],
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"cocoon_weight": row[6],
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"defective_pupa_count": row[7],
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"fresh_shell_weight": row[8],
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"sample_count": row[9],
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"barcode": row[10],
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"oss_url": get_temp_url("image-ticket", row[11]),
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"net_weight_total": row[12],
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"evaluator": row[13],
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"reviewer": row[14],
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"id": row[15],
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"dead_pupa_count": row[16],
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}
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)
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return result
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def insert_ticket_image(
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created_by,
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file_name,
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resolution,
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size,
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name,
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moisture_content,
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cocoon_weight,
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defective_pupa_count,
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dead_pupa_count,
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fresh_shell_weight,
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sample_count,
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barcode,
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oss,
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net_weight_total,
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evaluator,
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reviewer,
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):
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with pg_pool.getConn() as conn:
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with conn.cursor() as cursor:
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cursor.execute(
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"""
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INSERT INTO ticket_images (
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created_by, file_name, resolution, size, name,
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moisture_content, cocoon_weight, defective_pupa_count, dead_pupa_count,
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fresh_shell_weight, sample_count, barcode, oss,
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net_weight_total, evaluator, reviewer, created_at
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)
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VALUES (%s, %s, %s, %s, %s, %s,
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%s, %s, %s, %s, %s,
|
||
%s, %s, %s, %s, %s, NOW())
|
||
RETURNING id
|
||
""",
|
||
(
|
||
created_by,
|
||
file_name,
|
||
resolution,
|
||
size,
|
||
name,
|
||
moisture_content,
|
||
cocoon_weight,
|
||
defective_pupa_count,
|
||
dead_pupa_count,
|
||
fresh_shell_weight,
|
||
sample_count,
|
||
barcode,
|
||
oss,
|
||
net_weight_total,
|
||
evaluator,
|
||
reviewer,
|
||
),
|
||
)
|
||
new_id = cursor.fetchone()[0]
|
||
conn.commit()
|
||
return new_id
|
||
|
||
|
||
import json
|
||
|
||
# ————————————————————————————————————————————————————证件照片识别———————————————————————————————
|
||
|
||
|
||
def insert_license_image(
|
||
created_by, file_name, resolution, size, name, oss, type, content
|
||
):
|
||
with pg_pool.getConn() as conn:
|
||
with conn.cursor() as cursor:
|
||
cursor.execute(
|
||
"""
|
||
INSERT INTO license_images (
|
||
created_by, created_at, file_name, resolution, size, name, oss,
|
||
type, content
|
||
)
|
||
VALUES (%s, NOW(), %s, %s, %s, %s, %s, %s, %s )
|
||
RETURNING id
|
||
""",
|
||
(created_by, file_name, resolution, size, name, oss, type, content),
|
||
)
|
||
new_id = cursor.fetchone()[0]
|
||
conn.commit()
|
||
return new_id
|
||
|
||
|
||
def get_license_image_list(user_id, page=1, page_size=10):
|
||
"""
|
||
获取用户已分析图片列表，带分页
|
||
"""
|
||
offset = (page - 1) * page_size
|
||
|
||
with pg_pool.getConn() as conn:
|
||
with conn.cursor() as cursor:
|
||
# 1️⃣ 查询总条数
|
||
cursor.execute(
|
||
"""
|
||
SELECT COUNT(*)
|
||
FROM license_images
|
||
WHERE created_by = %s
|
||
""",
|
||
(user_id,),
|
||
)
|
||
total = cursor.fetchone()[0]
|
||
|
||
# 2️⃣ 查询当前页数据
|
||
cursor.execute(
|
||
"""
|
||
SELECT created_at, file_name, resolution, size, name, oss, id, type, content
|
||
FROM license_images
|
||
WHERE created_by = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
""",
|
||
(user_id, page_size, offset),
|
||
)
|
||
rows = cursor.fetchall()
|
||
|
||
result = []
|
||
for row in rows:
|
||
result.append(
|
||
{
|
||
"created_at": MyUtils.format_datetime(row[0]),
|
||
"file_name": row[1],
|
||
"resolution": row[2],
|
||
"size": round(row[3] / 1024, 2),
|
||
"name": row[4],
|
||
"oss_url": get_temp_url("image-license", row[5]),
|
||
"id": row[6],
|
||
"type": row[7],
|
||
"content": row[8],
|
||
}
|
||
)
|
||
|
||
return total, result
|
||
|
||
|
||
# ————————————————————————————————————————————————————蚕茧质量识别———————————————————————————————
|
||
def insert_sca_image(
|
||
file_name,
|
||
resolution,
|
||
size,
|
||
cocoon_count,
|
||
max_confidence,
|
||
min_confidence,
|
||
average_confidence,
|
||
other_info,
|
||
preprocess_time_ms,
|
||
inference_time_ms,
|
||
postprocess_time_ms,
|
||
name,
|
||
image_pre,
|
||
image_after,
|
||
created_by,
|
||
):
|
||
with pg_pool.getConn() as conn:
|
||
with conn.cursor() as cursor:
|
||
other_info = json.dumps(other_info)
|
||
cursor.execute(
|
||
"""
|
||
INSERT INTO sca_images (
|
||
upload_datetime, file_name, resolution, size, cocoon_count, max_confidence, min_confidence,
|
||
average_confidence, other_info, preprocess_time_ms, inference_time_ms, postprocess_time_ms, name, image_pre, image_after, created_by
|
||
)
|
||
VALUES (NOW(), %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s )
|
||
RETURNING id
|
||
""",
|
||
(
|
||
file_name,
|
||
resolution,
|
||
size,
|
||
cocoon_count,
|
||
max_confidence,
|
||
min_confidence,
|
||
average_confidence,
|
||
other_info,
|
||
preprocess_time_ms,
|
||
inference_time_ms,
|
||
postprocess_time_ms,
|
||
name,
|
||
image_pre,
|
||
image_after,
|
||
created_by,
|
||
),
|
||
)
|
||
new_id = cursor.fetchone()[0]
|
||
conn.commit()
|
||
return new_id
|
||
|
||
|
||
def get_sca_image_list(user_id, name, page=1, page_size=10):
|
||
"""
|
||
获取用户已分析图片列表，带分页
|
||
"""
|
||
offset = (page - 1) * page_size
|
||
|
||
with pg_pool.getConn() as conn:
|
||
with conn.cursor() as cursor:
|
||
# 1️⃣ 查询总条数
|
||
# ✅ 改进版：支持 name 为空时统计全部，不为空时模糊统计
|
||
cursor.execute(
|
||
"""
|
||
SELECT COUNT(*)
|
||
FROM sca_images
|
||
WHERE created_by = %s
|
||
AND (%s = '' OR name LIKE '%%' || %s || '%%')
|
||
""",
|
||
(user_id, name, name),
|
||
)
|
||
|
||
total = cursor.fetchone()[0]
|
||
|
||
# 2️⃣ 查询当前页数据
|
||
# ✅ 改进版
|
||
cursor.execute(
|
||
"""
|
||
SELECT id, name, upload_datetime, file_name, image_pre, image_after, resolution,
|
||
size, cocoon_count, max_confidence, min_confidence, average_confidence, other_info, preprocess_time_ms, inference_time_ms, postprocess_time_ms
|
||
FROM sca_images
|
||
WHERE created_by = %s
|
||
AND (%s = '' OR name LIKE '%%' || %s || '%%')
|
||
ORDER BY upload_datetime DESC
|
||
LIMIT %s OFFSET %s
|
||
""",
|
||
(user_id, name, name, page_size, offset),
|
||
)
|
||
|
||
rows = cursor.fetchall()
|
||
|
||
result = []
|
||
for row in rows:
|
||
result.append(
|
||
{
|
||
"id": row[0],
|
||
"name": row[1],
|
||
"upload_datetime": MyUtils.format_datetime(row[2]),
|
||
"file_name": row[3],
|
||
"image_pre": get_temp_url("image-sca", "raw/" + row[4]),
|
||
"image_after": get_temp_url("image-sca", "ai/" + row[5]),
|
||
"resolution": row[6],
|
||
"size": MyUtils.safe_round(row[7] / 1024, 2),
|
||
"cocoon_count": row[8],
|
||
"max_confidence": row[9],
|
||
"min_confidence": row[10],
|
||
"average_confidence": row[11],
|
||
"other_info": row[12],
|
||
"preprocess_time_ms": MyUtils.safe_round(row[13], 4),
|
||
"inference_time_ms": MyUtils.safe_round(row[14], 4),
|
||
"postprocess_time_ms": MyUtils.safe_round(row[15], 4),
|
||
}
|
||
)
|
||
|
||
return total, result
|
||
|
||
|
||
def get_sca_video_list(name, page=1, page_size=10):
|
||
"""
|
||
获取用户已分析视频列表，带分页
|
||
"""
|
||
offset = (page - 1) * page_size
|
||
|
||
with pg_pool.getConn() as conn:
|
||
with conn.cursor() as cursor:
|
||
# 1️⃣ 查询总条数
|
||
cursor.execute(
|
||
"""
|
||
SELECT COUNT(*)
|
||
FROM sca_videos
|
||
WHERE (%s = '' OR name LIKE '%%' || %s || '%%')
|
||
""",
|
||
(name, name),
|
||
)
|
||
total = cursor.fetchone()[0]
|
||
|
||
# 2️⃣ 查询当前页数据
|
||
cursor.execute(
|
||
"""
|
||
SELECT id, name, raw_object_name, ai_object_name, duration, size, video_codec, audio_codec,
|
||
overall_bit_rate, resolution, sc_analysis_time, sc_analysis_total_count, sc_analysis_max_count,
|
||
sc_analysis_primary_type, sc_analysis_secondary_type, other_info, created_at
|
||
FROM sca_videos
|
||
WHERE (%s = '' OR name LIKE '%%' || %s || '%%')
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
""",
|
||
(name, name, page_size, offset),
|
||
)
|
||
|
||
rows = cursor.fetchall()
|
||
|
||
result = []
|
||
for row in rows:
|
||
result.append(
|
||
{
|
||
"id": row[0],
|
||
"name": row[1],
|
||
"raw_video_url": get_temp_url("video-sca", "raw/" + row[2]),
|
||
"ai_video_url": get_temp_url("video-sca", "ai/" + row[3]),
|
||
"duration": MyUtils.safe_round(row[4], 2),
|
||
"size_kb": MyUtils.safe_round(row[5] / 1024, 2),
|
||
"video_codec": row[6],
|
||
"audio_codec": row[7],
|
||
"overall_bit_rate": row[8],
|
||
"resolution": row[9],
|
||
"sc_analysis_time": MyUtils.safe_round(row[10], 2),
|
||
"sc_analysis_total_count": row[11],
|
||
"sc_analysis_max_count": row[12],
|
||
"sc_analysis_primary_type": row[13],
|
||
"sc_analysis_secondary_type": row[14],
|
||
"other_info": json.loads(row[15]),
|
||
"created_at": MyUtils.format_datetime(row[16]),
|
||
}
|
||
)
|
||
|
||
return total, result
|
||
|
||
|
||
def get_sca_video_details(v_id):
|
||
"""
|
||
获取指定视频的分析明细列表
|
||
"""
|
||
with pg_pool.getConn() as conn:
|
||
with conn.cursor() as cursor:
|
||
cursor.execute(
|
||
"""
|
||
SELECT id, v_id, time_stamp, other_info
|
||
FROM sca_video_details
|
||
WHERE v_id = %s
|
||
ORDER BY time_stamp ASC
|
||
""",
|
||
(v_id,),
|
||
)
|
||
|
||
rows = cursor.fetchall()
|
||
result = []
|
||
for row in rows:
|
||
# other_info 从 JSON 字符串解析回字典
|
||
result.append(
|
||
{
|
||
"id": row[0],
|
||
"v_id": row[1],
|
||
"time_stamp": row[2],
|
||
"other_info": row[3],
|
||
}
|
||
)
|
||
|
||
return result
|