import asyncpg # 删除数据 async def delete_question(db: asyncpg.Connection, question_id: str): delete_sql = """ DELETE FROM t_bi_question WHERE id = $1 """ await db.execute(delete_sql, question_id) # 插入数据 async def insert_question(db: asyncpg.Connection, question_id: str, question: str): insert_sql = """ INSERT INTO t_bi_question (id, question, state_id, is_system, is_collect) VALUES ($1, $2, $3, $4, $5) """ await db.execute(insert_sql, question_id, question, 0, 0, 0) # 修改数据 async def update_question_by_id(db: asyncpg.Connection, question_id: str, **kwargs): update_fields = {k: v for k, v in kwargs.items() if v is not None} if not update_fields: return False set_clause = ", ".join([f"{field} = ${i + 1}" for i, field in enumerate(update_fields.keys())]) sql = f""" UPDATE t_bi_question SET {set_clause} WHERE id = ${len(update_fields) + 1} """ params = list(update_fields.values()) + [question_id] try: await db.execute(sql, *params) return True except Exception as e: print(f"更新失败: {e}") return False # 根据问题 ID 查询 SQL async def get_question_by_id(db: asyncpg.Connection, question_id: str): select_sql = """ SELECT * FROM t_bi_question WHERE id = $1 """ _data = await db.fetch(select_sql, question_id) return _data # 根据 SQL 查询数据 async def get_data_by_sql(db: asyncpg.Connection, sql: str): _data = await db.fetch(sql) return _data # 保存系统推荐 async def set_system_recommend_questions(db: asyncpg.Connection, question_id: str, flag: str): sql = """ UPDATE t_bi_question SET is_system = $1 WHERE id = $2 """ try: await db.execute(sql, int(flag), question_id) return True except Exception as e: print(f"更新失败: {e}") return False # 设置用户收藏 async def set_user_collect_questions(db: asyncpg.Connection, question_id: str, flag: str): sql = """ UPDATE t_bi_question SET is_collect = $1 WHERE id = $2 """ try: await db.execute(sql, int(flag), question_id) return True except Exception as e: print(f"更新失败: {e}") return False # 查询系统推荐问题 async def get_system_recommend_questions(db: asyncpg.Connection, offset: int, limit: int): query = """ SELECT * FROM t_bi_question where is_system=1 ORDER BY id DESC LIMIT $1 OFFSET $2; """ return await db.fetch(query, limit, offset) async def get_system_recommend_questions_count(db: asyncpg.Connection): query = """ SELECT COUNT(*) FROM t_bi_question where is_system=1; """ return await db.fetchval(query) async def get_user_publish_questions(db: asyncpg.Connection, type_id: int, offset: int, limit: int): # 基础查询 query = """ SELECT * FROM t_bi_question """ # 根据 type_id 动态添加 WHERE 条件 if type_id == 1: query += " WHERE is_collect = 1" # 添加排序和分页 query += " ORDER BY id DESC LIMIT $1 OFFSET $2;" # 执行查询 return await db.fetch(query, limit, offset) async def get_user_publish_questions_count(db: asyncpg.Connection): query = """ SELECT COUNT(*) FROM t_bi_question; """ return await db.fetchval(query) # 获取数据集的字段名称 async def get_column_names(db: asyncpg.Connection, sql: str): # 执行查询(添加 LIMIT 1) sql = sql.replace(";", "") sql = sql + ' limit 1' result = await db.fetchrow(sql) # 获取列名 # 获取列名 if result: column_names = list(result.keys()) return column_names else: return [] def generate_columns(data): """ 根据数据生成 category_columns_str 和 value_column_str :param data: 数据集(列表字典格式,例如:[{"行政区划名": "二道区", "学校名称": "清华附中", "课程数量": 100}, ...]) :return: (category_columns_str, value_column_str) """ # 获取所有字段名 columns = list(data[0].keys()) if data else [] # 1. 有行政区划名+学校名称两个字段的 if "行政区划名" in columns and "学校名称" in columns: category_columns_str = "行政区划名,学校名称" elif "行政区划" in columns and "学校名称" in columns: category_columns_str = "行政区划,学校名称" # 2. 有学段+科目的 elif "学段" in columns and "科目" in columns: category_columns_str = "学段,科目" # 3. 只有行政区划名的 elif "行政区划名" in columns: category_columns_str = "行政区划名" elif "行政区划" in columns: category_columns_str = "行政区划" # 4. 只有学段的 elif "学段" in columns: category_columns_str = "学段" # 5. 上面都不是的,用第一个字段记录 else: category_columns_str = columns[0] if columns else "" # 6. Y轴一般的常见词是:课程数量,数量,如果都没有,用最后一个字段记录 if "课程数量" in columns: value_column_str = "课程数量" elif "数量" in columns: value_column_str = "数量" else: value_column_str = columns[-1] if columns else "" return category_columns_str, value_column_str