fix：调整目录结构，优化hfc prompt，移除日程，移除动态和llm判断willing模式，

src/experimental/PFC/pfc_utils.py

@@ -0,0 +1,127 @@
+import json
+import re
+from typing import Dict, Any, Optional, Tuple, List, Union
+from src.common.logger import get_module_logger
+
+logger = get_module_logger("pfc_utils")
+
+
+def get_items_from_json(
+    content: str,
+    private_name: str,
+    *items: str,
+    default_values: Optional[Dict[str, Any]] = None,
+    required_types: Optional[Dict[str, type]] = None,
+    allow_array: bool = True,
+) -> Tuple[bool, Union[Dict[str, Any], List[Dict[str, Any]]]]:
+    """从文本中提取JSON内容并获取指定字段
+
+    Args:
+        content: 包含JSON的文本
+        private_name: 私聊名称
+        *items: 要提取的字段名
+        default_values: 字段的默认值，格式为 {字段名: 默认值}
+        required_types: 字段的必需类型，格式为 {字段名: 类型}
+        allow_array: 是否允许解析JSON数组
+
+    Returns:
+        Tuple[bool, Union[Dict[str, Any], List[Dict[str, Any]]]]: (是否成功, 提取的字段字典或字典列表)
+    """
+    content = content.strip()
+    result = {}
+
+    # 设置默认值
+    if default_values:
+        result.update(default_values)
+
+    # 首先尝试解析为JSON数组
+    if allow_array:
+        try:
+            # 尝试找到文本中的JSON数组
+            array_pattern = r"\[[\s\S]*\]"
+            array_match = re.search(array_pattern, content)
+            if array_match:
+                array_content = array_match.group()
+                json_array = json.loads(array_content)
+
+                # 确认是数组类型
+                if isinstance(json_array, list):
+                    # 验证数组中的每个项目是否包含所有必需字段
+                    valid_items = []
+                    for item in json_array:
+                        if not isinstance(item, dict):
+                            continue
+
+                        # 检查是否有所有必需字段
+                        if all(field in item for field in items):
+                            # 验证字段类型
+                            if required_types:
+                                type_valid = True
+                                for field, expected_type in required_types.items():
+                                    if field in item and not isinstance(item[field], expected_type):
+                                        type_valid = False
+                                        break
+
+                                if not type_valid:
+                                    continue
+
+                            # 验证字符串字段不为空
+                            string_valid = True
+                            for field in items:
+                                if isinstance(item[field], str) and not item[field].strip():
+                                    string_valid = False
+                                    break
+
+                            if not string_valid:
+                                continue
+
+                            valid_items.append(item)
+
+                    if valid_items:
+                        return True, valid_items
+        except json.JSONDecodeError:
+            logger.debug(f"[私聊][{private_name}]JSON数组解析失败，尝试解析单个JSON对象")
+        except Exception as e:
+            logger.debug(f"[私聊][{private_name}]尝试解析JSON数组时出错: {str(e)}")
+
+    # 尝试解析JSON对象
+    try:
+        json_data = json.loads(content)
+    except json.JSONDecodeError:
+        # 如果直接解析失败，尝试查找和提取JSON部分
+        json_pattern = r"\{[^{}]*\}"
+        json_match = re.search(json_pattern, content)
+        if json_match:
+            try:
+                json_data = json.loads(json_match.group())
+            except json.JSONDecodeError:
+                logger.error(f"[私聊][{private_name}]提取的JSON内容解析失败")
+                return False, result
+        else:
+            logger.error(f"[私聊][{private_name}]无法在返回内容中找到有效的JSON")
+            return False, result
+
+    # 提取字段
+    for item in items:
+        if item in json_data:
+            result[item] = json_data[item]
+
+    # 验证必需字段
+    if not all(item in result for item in items):
+        logger.error(f"[私聊][{private_name}]JSON缺少必要字段，实际内容: {json_data}")
+        return False, result
+
+    # 验证字段类型
+    if required_types:
+        for field, expected_type in required_types.items():
+            if field in result and not isinstance(result[field], expected_type):
+                logger.error(f"[私聊][{private_name}]{field} 必须是 {expected_type.__name__} 类型")
+                return False, result
+
+    # 验证字符串字段不为空
+    for field in items:
+        if isinstance(result[field], str) and not result[field].strip():
+            logger.error(f"[私聊][{private_name}]{field} 不能为空")
+            return False, result
+
+    return True, result