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video/service/sensitive_service.py

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from fastapi import APIRouter, Depends, HTTPException
from mysql.connector import Error as MySQLError
from ds.db import db
from schema.sensitive_schema import SensitiveCreateRequest, SensitiveUpdateRequest, SensitiveResponse
from schema.response_schema import APIResponse
from middle.auth_middleware import get_current_user
from schema.user_schema import UserResponse
# 创建敏感信息接口路由(前缀 /sensitives、标签用于 Swagger 分类)
router = APIRouter(
prefix="/sensitives",
tags=["敏感信息管理"]
)
# ------------------------------
# 1. 创建敏感信息记录
# ------------------------------
@router.post("", response_model=APIResponse, summary="创建敏感信息记录")
async def create_sensitive(
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sensitive: SensitiveCreateRequest): # 添加了登录认证依赖
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"""
创建敏感信息记录
- 需登录认证
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- 插入新的敏感信息记录到数据库ID由数据库自动生成
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- 返回创建成功信息
"""
conn = None
cursor = None
try:
conn = db.get_connection()
cursor = conn.cursor(dictionary=True)
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# 插入新敏感信息记录到数据库不包含ID由数据库自动生成
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insert_query = """
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INSERT INTO sensitives (name)
VALUES (%s)
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"""
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cursor.execute(insert_query, (sensitive.name,))
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conn.commit()
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# 获取刚插入记录的ID使用LAST_INSERT_ID()函数)
new_id = cursor.lastrowid
# 查询刚创建的记录并返回
select_query = "SELECT * FROM sensitives WHERE id = %s"
cursor.execute(select_query, (new_id,))
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created_sensitive = cursor.fetchone()
return APIResponse(
code=201, # 201 表示资源创建成功
message="敏感信息记录创建成功",
data=SensitiveResponse(**created_sensitive)
)
except MySQLError as e:
if conn:
conn.rollback()
raise Exception(f"创建敏感信息记录失败:{str(e)}") from e
finally:
db.close_connection(conn, cursor)
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# 以下接口代码保持不变
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# ------------------------------
# 2. 获取单个敏感信息记录
# ------------------------------
@router.get("/{sensitive_id}", response_model=APIResponse, summary="获取单个敏感信息记录")
async def get_sensitive(
sensitive_id: int,
current_user: UserResponse = Depends(get_current_user) # 需登录认证
):
"""
获取单个敏感信息记录
- 需登录认证
- 根据ID查询敏感信息记录
- 返回查询到的敏感信息
"""
conn = None
cursor = None
try:
conn = db.get_connection()
cursor = conn.cursor(dictionary=True)
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query = "SELECT * FROM sensitives WHERE id = %s"
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cursor.execute(query, (sensitive_id,))
sensitive = cursor.fetchone()
if not sensitive:
raise HTTPException(
status_code=404,
detail=f"ID为 {sensitive_id} 的敏感信息记录不存在"
)
return APIResponse(
code=200,
message="敏感信息记录查询成功",
data=SensitiveResponse(**sensitive)
)
except MySQLError as e:
raise Exception(f"查询敏感信息记录失败:{str(e)}") from e
finally:
db.close_connection(conn, cursor)
# ------------------------------
# 3. 获取所有敏感信息记录
# ------------------------------
@router.get("", response_model=APIResponse, summary="获取所有敏感信息记录")
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async def get_all_sensitives():
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"""
获取所有敏感信息记录
- 需登录认证
- 查询所有敏感信息记录不需要分页
- 返回所有敏感信息列表
"""
conn = None
cursor = None
try:
conn = db.get_connection()
cursor = conn.cursor(dictionary=True)
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query = "SELECT * FROM sensitives ORDER BY id"
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cursor.execute(query)
sensitives = cursor.fetchall()
return APIResponse(
code=200,
message="所有敏感信息记录查询成功",
data=[SensitiveResponse(**sensitive) for sensitive in sensitives]
)
except MySQLError as e:
raise Exception(f"查询所有敏感信息记录失败:{str(e)}") from e
finally:
db.close_connection(conn, cursor)
# ------------------------------
# 4. 更新敏感信息记录
# ------------------------------
@router.put("/{sensitive_id}", response_model=APIResponse, summary="更新敏感信息记录")
async def update_sensitive(
sensitive_id: int,
sensitive_update: SensitiveUpdateRequest,
current_user: UserResponse = Depends(get_current_user) # 需登录认证
):
"""
更新敏感信息记录
- 需登录认证
- 根据ID更新敏感信息记录
- 返回更新后的敏感信息
"""
conn = None
cursor = None
try:
conn = db.get_connection()
cursor = conn.cursor(dictionary=True)
# 1. 检查记录是否存在
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check_query = "SELECT id FROM sensitives WHERE id = %s"
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cursor.execute(check_query, (sensitive_id,))
existing_sensitive = cursor.fetchone()
if not existing_sensitive:
raise HTTPException(
status_code=404,
detail=f"ID为 {sensitive_id} 的敏感信息记录不存在"
)
# 2. 构建更新语句(只更新提供的字段)
update_fields = []
params = []
if sensitive_update.name is not None:
update_fields.append("name = %s")
params.append(sensitive_update.name)
if not update_fields:
raise HTTPException(
status_code=400,
detail="至少需要提供一个字段进行更新"
)
params.append(sensitive_id) # WHERE条件的参数
update_query = f"""
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UPDATE sensitives
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SET {', '.join(update_fields)}, updated_at = CURRENT_TIMESTAMP
WHERE id = %s
"""
cursor.execute(update_query, params)
conn.commit()
# 3. 查询更新后的记录并返回
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select_query = "SELECT * FROM sensitives WHERE id = %s"
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cursor.execute(select_query, (sensitive_id,))
updated_sensitive = cursor.fetchone()
return APIResponse(
code=200,
message="敏感信息记录更新成功",
data=SensitiveResponse(**updated_sensitive)
)
except MySQLError as e:
if conn:
conn.rollback()
raise Exception(f"更新敏感信息记录失败:{str(e)}") from e
finally:
db.close_connection(conn, cursor)
# ------------------------------
# 5. 删除敏感信息记录
# ------------------------------
@router.delete("/{sensitive_id}", response_model=APIResponse, summary="删除敏感信息记录")
async def delete_sensitive(
sensitive_id: int,
current_user: UserResponse = Depends(get_current_user) # 需登录认证
):
"""
删除敏感信息记录
- 需登录认证
- 根据ID删除敏感信息记录
- 返回删除成功信息
"""
conn = None
cursor = None
try:
conn = db.get_connection()
cursor = conn.cursor(dictionary=True)
# 1. 检查记录是否存在
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check_query = "SELECT id FROM sensitives WHERE id = %s"
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cursor.execute(check_query, (sensitive_id,))
existing_sensitive = cursor.fetchone()
if not existing_sensitive:
raise HTTPException(
status_code=404,
detail=f"ID为 {sensitive_id} 的敏感信息记录不存在"
)
# 2. 执行删除操作
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delete_query = "DELETE FROM sensitives WHERE id = %s"
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cursor.execute(delete_query, (sensitive_id,))
conn.commit()
return APIResponse(
code=200,
message=f"ID为 {sensitive_id} 的敏感信息记录删除成功",
data=None
)
except MySQLError as e:
if conn:
conn.rollback()
raise Exception(f"删除敏感信息记录失败:{str(e)}") from e
finally:
db.close_connection(conn, cursor)
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def get_all_sensitive_words() -> list[str]:
"""
获取所有敏感词返回字符串数组
返回:
list[str]: 包含所有敏感词的数组
异常:
MySQLError: 数据库操作相关错误
"""
conn = None
cursor = None
try:
# 获取数据库连接
conn = db.get_connection()
cursor = conn.cursor(dictionary=True)
# 执行查询,只获取敏感词字段
query = "SELECT name FROM sensitives ORDER BY id"
cursor.execute(query)
sensitive_records = cursor.fetchall()
# 提取敏感词到数组中
return [record['name'] for record in sensitive_records]
except MySQLError as e:
# 数据库错误处理
raise MySQLError(f"查询敏感词失败:{str(e)}") from e
finally:
# 确保资源正确释放
db.close_connection(conn, cursor)