"""
文件解析服务
提供txt格式新闻数据和YAML配置文件的解析功能。
"""
import re
from pathlib import Path
from typing import Dict, List, Tuple, Optional
from datetime import datetime
import yaml
from ..utils.errors import FileParseError, DataNotFoundError
from .cache_service import get_cache
class ParserService:
"""文件解析服务类"""
def __init__(self, project_root: str = None):
"""
初始化解析服务
Args:
project_root: 项目根目录，默认为当前目录的父目录
"""
if project_root is None:
# 获取当前文件所在目录的父目录的父目录
current_file = Path(__file__)
self.project_root = current_file.parent.parent.parent
else:
self.project_root = Path(project_root)
# 初始化缓存服务
self.cache = get_cache()
@staticmethod
def clean_title(title: str) -> str:
"""
清理标题文本
Args:
title: 原始标题
Returns:
清理后的标题
"""
# 移除多余空白
title = re.sub(r'\s+', ' ', title)
# 移除特殊字符
title = title.strip()
return title
def parse_txt_file(self, file_path: Path) -> Tuple[Dict, Dict]:
"""
解析单个txt文件的标题数据
Args:
file_path: txt文件路径
Returns:
(titles_by_id, id_to_name) 元组
- titles_by_id: {platform_id: {title: {ranks, url, mobileUrl}}}
- id_to_name: {platform_id: platform_name}
Raises:
FileParseError: 文件解析错误
"""
if not file_path.exists():
raise FileParseError(str(file_path), "文件不存在")
titles_by_id = {}
id_to_name = {}
try:
with open(file_path, "r", encoding="utf-8") as f:
content = f.read()
sections = content.split("\n\n")
for section in sections:
if not section.strip() or "==== 以下ID请求失败 ====" in section:
continue
lines = section.strip().split("\n")
if len(lines) < 2:
continue
# 解析header: id | name 或 id
header_line = lines[0].strip()
if " | " in header_line:
parts = header_line.split(" | ", 1)
source_id = parts[0].strip()
name = parts[1].strip()
id_to_name[source_id] = name
else:
source_id = header_line
id_to_name[source_id] = source_id
titles_by_id[source_id] = {}
# 解析标题行
for line in lines[1:]:
if line.strip():
try:
title_part = line.strip()
rank = None
# 提取排名
if ". " in title_part and title_part.split(". ")[0].isdigit():
rank_str, title_part = title_part.split(". ", 1)
rank = int(rank_str)
# 提取 MOBILE URL
mobile_url = ""
if " [MOBILE:" in title_part:
title_part, mobile_part = title_part.rsplit(" [MOBILE:", 1)
if mobile_part.endswith("]"):
mobile_url = mobile_part[:-1]
# 提取 URL
url = ""
if " [URL:" in title_part:
title_part, url_part = title_part.rsplit(" [URL:", 1)
if url_part.endswith("]"):
url = url_part[:-1]
title = self.clean_title(title_part.strip())
ranks = [rank] if rank is not None else [1]
titles_by_id[source_id][title] = {
"ranks": ranks,
"url": url,
"mobileUrl": mobile_url,
}
except Exception as e:
# 忽略单行解析错误
continue
except Exception as e:
raise FileParseError(str(file_path), str(e))
return titles_by_id, id_to_name
def get_date_folder_name(self, date: datetime = None) -> str:
"""
获取日期文件夹名称
Args:
date: 日期对象，默认为今天
Returns:
文件夹名称，格式: YYYY年MM月DD日
"""
if date is None:
date = datetime.now()
return date.strftime("%Y年%m月%d日")
def read_all_titles_for_date(
self,
date: datetime = None,
platform_ids: Optional[List[str]] = None
) -> Tuple[Dict, Dict, Dict]:
"""
读取指定日期的所有标题文件（带缓存）
Args:
date: 日期对象，默认为今天
platform_ids: 平台ID列表，None表示所有平台
Returns:
(all_titles, id_to_name, all_timestamps) 元组
- all_titles: {platform_id: {title: {ranks, url, mobileUrl, ...}}}
- id_to_name: {platform_id: platform_name}
- all_timestamps: {filename: timestamp}
Raises:
DataNotFoundError: 数据不存在
"""
# 生成缓存键
date_str = self.get_date_folder_name(date)
platform_key = ','.join(sorted(platform_ids)) if platform_ids else 'all'
cache_key = f"read_all_titles:{date_str}:{platform_key}"
# 尝试从缓存获取
# 对于历史数据（非今天），使用更长的缓存时间（1小时）
# 对于今天的数据，使用较短的缓存时间（15分钟），因为可能有新数据
is_today = (date is None) or (date.date() == datetime.now().date())
ttl = 900 if is_today else 3600 # 15分钟 vs 1小时
cached = self.cache.get(cache_key, ttl=ttl)
if cached:
return cached
# 缓存未命中，读取文件
date_folder = self.get_date_folder_name(date)
txt_dir = self.project_root / "output" / date_folder / "txt"
if not txt_dir.exists():
raise DataNotFoundError(
f"未找到 {date_folder} 的数据目录",
suggestion="请先运行爬虫或检查日期是否正确"
)
all_titles = {}
id_to_name = {}
all_timestamps = {}
# 读取所有txt文件
txt_files = sorted(txt_dir.glob("*.txt"))
if not txt_files:
raise DataNotFoundError(
f"{date_folder} 没有数据文件",
suggestion="请等待爬虫任务完成"
)
for txt_file in txt_files:
try:
titles_by_id, file_id_to_name = self.parse_txt_file(txt_file)
# 更新id_to_name
id_to_name.update(file_id_to_name)
# 合并标题数据
for platform_id, titles in titles_by_id.items():
# 如果指定了平台过滤
if platform_ids and platform_id not in platform_ids:
continue
if platform_id not in all_titles:
all_titles[platform_id] = {}
for title, info in titles.items():
if title in all_titles[platform_id]:
# 合并排名
all_titles[platform_id][title]["ranks"].extend(info["ranks"])
else:
all_titles[platform_id][title] = info.copy()
# 记录文件时间戳
all_timestamps[txt_file.name] = txt_file.stat().st_mtime
except Exception as e:
# 忽略单个文件的解析错误，继续处理其他文件
print(f"Warning: 解析文件 {txt_file} 失败: {e}")
continue
if not all_titles:
raise DataNotFoundError(
f"{date_folder} 没有有效的数据",
suggestion="请检查数据文件格式或重新运行爬虫"
)
# 缓存结果
result = (all_titles, id_to_name, all_timestamps)
self.cache.set(cache_key, result)
return result
def parse_yaml_config(self, config_path: str = None) -> dict:
"""
解析YAML配置文件
Args:
config_path: 配置文件路径，默认为 config/config.yaml
Returns:
配置字典
Raises:
FileParseError: 配置文件解析错误
"""
if config_path is None:
config_path = self.project_root / "config" / "config.yaml"
else:
config_path = Path(config_path)
if not config_path.exists():
raise FileParseError(str(config_path), "配置文件不存在")
try:
with open(config_path, "r", encoding="utf-8") as f:
config_data = yaml.safe_load(f)
return config_data
except Exception as e:
raise FileParseError(str(config_path), str(e))
def parse_frequency_words(self, words_file: str = None) -> List[Dict]:
"""
解析关键词配置文件
Args:
words_file: 关键词文件路径，默认为 config/frequency_words.txt
Returns:
词组列表
Raises:
FileParseError: 文件解析错误
"""
if words_file is None:
words_file = self.project_root / "config" / "frequency_words.txt"
else:
words_file = Path(words_file)
if not words_file.exists():
return []
word_groups = []
try:
with open(words_file, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line or line.startswith("#"):
continue
# 使用 | 分隔符
parts = [p.strip() for p in line.split("|")]
if not parts:
continue
group = {
"required": [],
"normal": [],
"filter_words": []
}
for part in parts:
if not part:
continue
words = [w.strip() for w in part.split(",")]
for word in words:
if not word:
continue
if word.endswith("+"):
# 必须词
group["required"].append(word[:-1])
elif word.endswith("!"):
# 过滤词
group["filter_words"].append(word[:-1])
else:
# 普通词
group["normal"].append(word)
if group["required"] or group["normal"]:
word_groups.append(group)
except Exception as e:
raise FileParseError(str(words_file), str(e))
return word_groups
