feat(external): Online parser

src/arcaea_offline/external/arcaea/online.py

@@ -0,0 +1,75 @@
+import json
+import logging
+from datetime import datetime
+from typing import Dict, List, Literal, Optional, TypedDict
+
+from ...models import Score
+from .common import ArcaeaParser, fix_timestamp
+
+logger = logging.getLogger(__name__)
+
+
+class TWebApiRatingMeScoreItem(TypedDict):
+    song_id: str
+    difficulty: int
+    modifier: int
+    rating: float
+    score: int
+    perfect_count: int
+    near_count: int
+    miss_count: int
+    clear_type: int
+    title: Dict[Literal["ja", "en"], str]
+    artist: str
+    time_played: int
+    bg: str
+
+
+class TWebApiRatingMeValue(TypedDict):
+    best_rated_scores: List[TWebApiRatingMeScoreItem]
+    recent_rated_scores: List[TWebApiRatingMeScoreItem]
+
+
+class TWebApiRatingMeResult(TypedDict):
+    success: bool
+    error_code: Optional[int]
+    value: Optional[TWebApiRatingMeValue]
+
+
+class ArcaeaOnlineParser(ArcaeaParser):
+    def __init__(self, filepath):
+        super().__init__(filepath)
+
+    def parse(self) -> List[Score]:
+        api_result_root: TWebApiRatingMeResult = json.loads(self.read_file_text())
+
+        api_result_value = api_result_root.get("value")
+        if not api_result_value:
+            error_code = api_result_root.get("error_code")
+            raise ValueError(f"Cannot parse API result, error code {error_code}")
+
+        best30_score_items = api_result_value.get("best_rated_scores", [])
+        recent_score_items = api_result_value.get("recent_rated_scores", [])
+        score_items = best30_score_items + recent_score_items
+
+        date_text = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+        results: List[Score] = []
+        for score_item in score_items:
+            score = Score()
+            score.song_id = score_item["song_id"]
+            score.rating_class = score_item["difficulty"]
+            score.score = score_item["score"]
+            score.pure = score_item["perfect_count"]
+            score.far = score_item["near_count"]
+            score.lost = score_item["miss_count"]
+            score.date = fix_timestamp(int(score_item["time_played"] / 1000))
+            score.modifier = score_item["modifier"]
+            score.clear_type = score_item["clear_type"]
+
+            if score.lost == 0:
+                score.max_recall = score.pure + score.far
+
+            score.comment = f"Parsed from web API at {date_text}"
+            results.append(score)
+        return results