修复reids

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2025-08-04 21:55:48 +08:00
parent 07467d27ae
commit 3272525c92
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modules/redis_types.py Normal file
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"""
Redis数据类型支持增强模块
支持string、hash、list、set、zset、json等数据类型的比较
"""
import json
import logging
from redis.exceptions import RedisError
logger = logging.getLogger(__name__)
def get_redis_value_with_type(redis_client, key):
"""
获取Redis键值及其数据类型
Args:
redis_client: Redis客户端
key: Redis键名
Returns:
dict: {
'type': 数据类型,
'value': 值,
'display_value': 用于显示的格式化值,
'exists': 是否存在
}
"""
try:
# 检查key是否存在
if not redis_client.exists(key):
return {
'type': None,
'value': None,
'display_value': None,
'exists': False
}
# 获取数据类型
key_type = redis_client.type(key).decode('utf-8')
result = {
'type': key_type,
'exists': True
}
if key_type == 'string':
# 字符串类型
value = redis_client.get(key)
if value:
try:
# 尝试解码为字符串
str_value = value.decode('utf-8')
result['value'] = str_value
# 尝试解析为JSON
try:
json_value = json.loads(str_value)
result['display_value'] = json.dumps(json_value, indent=2, ensure_ascii=False)
result['type'] = 'json_string' # 标记为JSON字符串
except:
result['display_value'] = str_value
except UnicodeDecodeError:
# 二进制数据
result['value'] = value
result['display_value'] = f"<binary data: {len(value)} bytes>"
else:
result['value'] = ""
result['display_value'] = ""
elif key_type == 'hash':
# Hash类型
hash_data = redis_client.hgetall(key)
decoded_hash = {}
for field, value in hash_data.items():
try:
decoded_field = field.decode('utf-8')
decoded_value = value.decode('utf-8')
decoded_hash[decoded_field] = decoded_value
except UnicodeDecodeError:
decoded_hash[str(field)] = f"<binary: {len(value)} bytes>"
result['value'] = decoded_hash
result['display_value'] = json.dumps(decoded_hash, indent=2, ensure_ascii=False)
elif key_type == 'list':
# List类型
list_data = redis_client.lrange(key, 0, -1)
decoded_list = []
for item in list_data:
try:
decoded_item = item.decode('utf-8')
decoded_list.append(decoded_item)
except UnicodeDecodeError:
decoded_list.append(f"<binary: {len(item)} bytes>")
result['value'] = decoded_list
result['display_value'] = json.dumps(decoded_list, indent=2, ensure_ascii=False)
elif key_type == 'set':
# Set类型
set_data = redis_client.smembers(key)
decoded_set = []
for item in set_data:
try:
decoded_item = item.decode('utf-8')
decoded_set.append(decoded_item)
except UnicodeDecodeError:
decoded_set.append(f"<binary: {len(item)} bytes>")
# 排序以便比较
decoded_set.sort()
result['value'] = decoded_set
result['display_value'] = json.dumps(decoded_set, indent=2, ensure_ascii=False)
elif key_type == 'zset':
# Sorted Set类型
zset_data = redis_client.zrange(key, 0, -1, withscores=True)
decoded_zset = []
for member, score in zset_data:
try:
decoded_member = member.decode('utf-8')
decoded_zset.append([decoded_member, score])
except UnicodeDecodeError:
decoded_zset.append([f"<binary: {len(member)} bytes>", score])
result['value'] = decoded_zset
result['display_value'] = json.dumps(decoded_zset, indent=2, ensure_ascii=False)
else:
# 未知类型
result['value'] = f"<unsupported type: {key_type}>"
result['display_value'] = f"<unsupported type: {key_type}>"
return result
except Exception as e:
logger.error(f"获取Redis键值失败 {key}: {e}")
return {
'type': 'error',
'value': None,
'display_value': f"<error: {str(e)}>",
'exists': False
}
def compare_redis_values(value1_info, value2_info):
"""
比较两个Redis值
Args:
value1_info: 第一个值的信息字典
value2_info: 第二个值的信息字典
Returns:
dict: 比较结果
"""
# 检查存在性
if not value1_info['exists'] and not value2_info['exists']:
return {
'status': 'both_missing',
'message': '两个集群都不存在此键'
}
elif not value1_info['exists']:
return {
'status': 'missing_in_cluster1',
'message': '集群1中不存在此键'
}
elif not value2_info['exists']:
return {
'status': 'missing_in_cluster2',
'message': '集群2中不存在此键'
}
# 检查类型
type1 = value1_info['type']
type2 = value2_info['type']
if type1 != type2:
return {
'status': 'different',
'message': f'数据类型不同: {type1} vs {type2}'
}
# 比较值
value1 = value1_info['value']
value2 = value2_info['value']
if type1 in ['string', 'json_string']:
# 字符串比较
if value1 == value2:
return {'status': 'identical', 'message': '值相同'}
else:
return {'status': 'different', 'message': '值不同'}
elif type1 == 'hash':
# Hash比较
if value1 == value2:
return {'status': 'identical', 'message': '哈希值相同'}
else:
# 详细比较哈希字段
keys1 = set(value1.keys())
keys2 = set(value2.keys())
if keys1 != keys2:
return {'status': 'different', 'message': f'哈希字段不同: {keys1 - keys2} vs {keys2 - keys1}'}
diff_fields = []
for key in keys1:
if value1[key] != value2[key]:
diff_fields.append(key)
if diff_fields:
return {'status': 'different', 'message': f'哈希字段值不同: {diff_fields}'}
else:
return {'status': 'identical', 'message': '哈希值相同'}
elif type1 == 'list':
# List比较顺序敏感
if value1 == value2:
return {'status': 'identical', 'message': '列表相同'}
else:
return {'status': 'different', 'message': f'列表不同,长度: {len(value1)} vs {len(value2)}'}
elif type1 == 'set':
# Set比较顺序无关
if set(value1) == set(value2):
return {'status': 'identical', 'message': '集合相同'}
else:
return {'status': 'different', 'message': f'集合不同,大小: {len(value1)} vs {len(value2)}'}
elif type1 == 'zset':
# Sorted Set比较
if value1 == value2:
return {'status': 'identical', 'message': '有序集合相同'}
else:
return {'status': 'different', 'message': f'有序集合不同,大小: {len(value1)} vs {len(value2)}'}
else:
# 其他类型的通用比较
if value1 == value2:
return {'status': 'identical', 'message': '值相同'}
else:
return {'status': 'different', 'message': '值不同'}
def batch_get_redis_values_with_type(redis_client, keys, cluster_name="Redis集群", performance_tracker=None):
"""
批量获取Redis键值及类型信息
Args:
redis_client: Redis客户端
keys: 键名列表
cluster_name: 集群名称
performance_tracker: 性能追踪器
Returns:
list: 每个键的值信息字典列表
"""
import time
start_time = time.time()
results = []
logger.info(f"开始从{cluster_name}批量获取 {len(keys)} 个键的详细信息")
try:
for key in keys:
key_info = get_redis_value_with_type(redis_client, key)
results.append(key_info)
end_time = time.time()
duration = end_time - start_time
if performance_tracker:
performance_tracker.record_query(f"{cluster_name}_detailed_query", duration)
successful_count = sum(1 for r in results if r['exists'])
logger.info(f"{cluster_name}详细查询完成,成功获取 {successful_count}/{len(keys)} 个值,耗时 {duration:.3f}")
return results
except Exception as e:
logger.error(f"{cluster_name}批量详细查询失败: {e}")
# 返回错误占位符
return [{'type': 'error', 'value': None, 'display_value': f'<error: {e}>', 'exists': False} for _ in keys]