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from typing import Dict, Any, Callable, List, Optional
from enum import Enum
import re
class RuleCondition(Enum):
"""规则条件类型"""
EQUALS = "equals"
CONTAINS = "contains"
MATCHES = "matches"
STARTS_WITH = "starts_with"
ENDS_WITH = "ends_with"
IN_LIST = "in_list"
GREATER_THAN = "greater_than"
LESS_THAN = "less_than"
class Rule:
def __init__(
self,
name: str,
condition: Dict[str, Any],
action: Dict[str, Any],
priority: int = 50
):
self.name = name
self.condition = condition
self.action = action
self.priority = priority
self._compiled_patterns = {}
self._precompile_patterns()
def _precompile_patterns(self):
"""预编译正则表达式以提高性能"""
if isinstance(self.condition, dict):
for key, value in self.condition.items():
if isinstance(value, dict) and value.get("type") == "matches":
pattern = value.get("pattern")
if pattern:
self._compiled_patterns[key] = re.compile(pattern)
def matches(self, data: Dict[str, Any]) -> bool:
"""
检查数据是否匹配规则条件
"""
if not isinstance(self.condition, dict):
return False
for field, condition_spec in self.condition.items():
if not self._check_field_condition(data, field, condition_spec):
return False
return True
def _check_field_condition(
self,
data: Dict[str, Any],
field: str,
condition: Any
) -> bool:
"""检查单个字段的条件"""
value = data.get(field)
if not isinstance(condition, dict):
return value == condition
condition_type = condition.get("type")
expected_value = condition.get("value")
if condition_type == "equals":
return value == expected_value
elif condition_type == "contains":
return expected_value in str(value) if value else False
elif condition_type == "matches":
if field in self._compiled_patterns:
pattern = self._compiled_patterns[field]
return bool(pattern.search(str(value))) if value else False
return False
elif condition_type == "starts_with":
return str(value).startswith(expected_value) if value else False
elif condition_type == "ends_with":
return str(value).endswith(expected_value) if value else False
elif condition_type == "in_list":
return value in expected_value if isinstance(expected_value, list) else False
elif condition_type == "greater_than":
try:
return float(value) > float(expected_value)
except (ValueError, TypeError):
return False
elif condition_type == "less_than":
try:
return float(value) < float(expected_value)
except (ValueError, TypeError):
return False
return False
def apply(self, data: Dict[str, Any]) -> Dict[str, Any]:
"""
对匹配的数据应用规则动作
"""
result = data.copy()
if not isinstance(self.action, dict):
return result
action_type = self.action.get("type")
if action_type == "set_field":
field = self.action.get("field")
value = self.action.get("value")
if field:
result[field] = value
elif action_type == "add_field":
field = self.action.get("field")
value = self.action.get("value")
if field and field not in result:
result[field] = value
elif action_type == "remove_field":
field = self.action.get("field")
if field and field in result:
del result[field]
elif action_type == "transform":
field = self.action.get("field")
func_name = self.action.get("function")
if field and field in result and func_name:
result[field] = self._apply_transform(result[field], func_name)
elif action_type == "add_tag":
tag = self.action.get("tag")
if tag:
if "tags" not in result:
result["tags"] = []
if tag not in result["tags"]:
result["tags"].append(tag)
elif action_type == "copy_field":
source = self.action.get("source")
target = self.action.get("target")
if source and target and source in result:
result[target] = result[source]
return result
def _apply_transform(self, value: Any, func_name: str) -> Any:
transforms = {
"upper": lambda x: str(x).upper(),
"lower": lambda x: str(x).lower(),
"strip": lambda x: str(x).strip(),
"int": lambda x: int(x),
"float": lambda x: float(x),
"len": lambda x: len(x) if hasattr(x, '__len__') else 0,
}
func = transforms.get(func_name)
if func:
try:
return func(value)
except Exception:
return value
return value
def __repr__(self) -> str:
return f"Rule(name={self.name}, priority={self.priority})"
class RuleEngine:
"""
规则引擎
"""
def __init__(self):
self.rules: List[Rule] = []
self._sorted = False
def add_rule(self, rule: Rule):
self.rules.append(rule)
self._sorted = False
def add_rule_dict(
self,
name: str,
condition: Dict[str, Any],
action: Dict[str, Any],
priority: int = 50
):
"""
从字典添加规则
"""
rule = Rule(name, condition, action, priority)
self.add_rule(rule)
def _ensure_sorted(self):
"""确保规则按优先级排序"""
if not self._sorted:
self.rules.sort(key=lambda r: r.priority, reverse=True)
self._sorted = True
def process(
self,
data: Dict[str, Any],
apply_all: bool = False
) -> Dict[str, Any]:
self._ensure_sorted()
result = data.copy()
for rule in self.rules:
if rule.matches(result):
result = rule.apply(result)
if not apply_all:
break
return result
def process_batch(
self,
data_list: List[Dict[str, Any]],
apply_all: bool = False
) -> List[Dict[str, Any]]:
return [self.process(data, apply_all) for data in data_list]
def find_matching_rules(self, data: Dict[str, Any]) -> List[Rule]:
self._ensure_sorted()
return [rule for rule in self.rules if rule.matches(data)]
def clear_rules(self):
self.rules.clear()
self._sorted = False
def rule_count(self) -> int:
return len(self.rules)
def __repr__(self) -> str:
return f"RuleEngine(rules={len(self.rules)})"
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