PaiGram/core/search/services.py

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2022-12-04 11:56:39 +00:00
import asyncio
import heapq
import itertools
import json
import os
import time
from pathlib import Path
from typing import Tuple, List, Optional, Dict
import aiofiles
from async_lru import alru_cache
from core.search.models import WeaponEntry, BaseEntry, WeaponsEntry, StrategyEntry, StrategyEntryList
from utils.const import PROJECT_ROOT
ENTRY_DAYA_PATH = PROJECT_ROOT.joinpath("data", "entry")
ENTRY_DAYA_PATH.mkdir(parents=True, exist_ok=True)
class SearchServices:
def __init__(self):
self._lock = asyncio.Lock() # 访问和修改操作成员变量必须加锁操作
self.weapons: List[WeaponEntry] = []
self.strategy: List[StrategyEntry] = []
self.entry_data_path: Path = ENTRY_DAYA_PATH
self.weapons_entry_data_path = self.entry_data_path / "weapon.json"
self.strategy_entry_data_path = self.entry_data_path / "strategy.json"
self.replace_time: Dict[str, float] = {}
@staticmethod
async def load_json(path):
async with aiofiles.open(path, "r", encoding="utf-8") as f:
return json.loads(await f.read())
@staticmethod
async def save_json(path, data):
async with aiofiles.open(path, "w", encoding="utf-8") as f:
await f.write(data)
async def load_data(self):
async with self._lock:
if self.weapons_entry_data_path.exists():
weapon_json = await self.load_json(self.weapons_entry_data_path)
weapons = WeaponsEntry.parse_obj(weapon_json)
for weapon in weapons.data:
self.weapons.append(weapon.copy())
if self.strategy_entry_data_path.exists():
strategy_json = await self.load_json(self.strategy_entry_data_path)
strategy = StrategyEntryList.parse_obj(strategy_json)
for strategy in strategy.data:
self.strategy.append(strategy.copy())
async def save_entry(self) -> None:
"""保存条目
:return: None
"""
async with self._lock:
if len(self.weapons) > 0:
weapons = WeaponsEntry(data=self.weapons)
await self.save_json(self.weapons_entry_data_path, weapons.json())
if len(self.strategy) > 0:
strategy = StrategyEntryList(data=self.strategy)
await self.save_json(self.strategy_entry_data_path, strategy.json())
async def add_entry(self, entry: BaseEntry, update: bool = False, ttl: int = 3600):
"""添加条目
:param entry: 条目数据
:param update: 如果条目存在是否覆盖
:param ttl: 条目存在时需要多久时间覆盖
:return: None
"""
async with self._lock:
replace_time = self.replace_time.get(entry.key)
if replace_time and replace_time <= time.time() + ttl:
return
if isinstance(entry, WeaponEntry):
for index, value in enumerate(self.weapons):
if value.key == entry.key:
if update:
self.replace_time[entry.key] = time.time()
self.weapons[index] = entry
break
else:
self.weapons.append(entry)
elif isinstance(entry, StrategyEntry):
for index, value in enumerate(self.strategy):
if value.key == entry.key:
if update:
self.replace_time[entry.key] = time.time()
self.strategy[index] = entry
break
else:
self.strategy.append(entry)
async def remove_all_entry(self):
"""移除全部条目
:return: None
"""
async with self._lock:
self.weapons = []
if self.weapons_entry_data_path.exists():
os.remove(self.weapons_entry_data_path)
self.strategy = []
if self.strategy_entry_data_path.exists():
os.remove(self.strategy_entry_data_path)
@staticmethod
def _sort_key(entry: BaseEntry, search_query: str) -> float:
return entry.compare_to_query(search_query)
@alru_cache(maxsize=64)
async def multi_search_combinations(self, search_queries: Tuple[str], results_per_query: int = 3):
"""多个关键词搜索
:param search_queries: 搜索文本
:param results_per_query: 约定返回的数目
:return: 搜索结果
"""
results = {}
effective_queries = list(dict.fromkeys(search_queries))
for query in effective_queries:
if res := await self.search(search_query=query, amount=results_per_query):
results[query] = res
@alru_cache(maxsize=64)
async def search(self, search_query: Optional[str], amount: int = None) -> Optional[List[BaseEntry]]:
"""在所有可用条目中搜索适当的结果
:param search_query: 搜索文本
:param amount: 约定返回的数目
:return: 搜索结果
"""
# search_entries: Iterable[BaseEntry] = []
async with self._lock:
search_entries = itertools.chain(self.weapons, self.strategy)
if not search_query:
return search_entries if isinstance(search_entries, list) else list(search_entries)
if not amount:
return sorted(
search_entries,
key=lambda entry: self._sort_key(entry, search_query), # type: ignore
reverse=True,
)
return heapq.nlargest(
amount,
search_entries,
key=lambda entry: self._sort_key(entry, search_query), # type: ignore[arg-type]
)