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