From 68b6a36fc80ef557838dedf5801fd48cd4fa35c2 Mon Sep 17 00:00:00 2001
From: mokurin000 <1348292515a@gmail.com>
Date: Sun, 17 Aug 2025 10:52:12 +0800
Subject: [PATCH] chore: remove pcrt function

---
 utils/flat_user_detail.py | 109 --------------------------------------
 1 file changed, 109 deletions(-)
 delete mode 100644 utils/flat_user_detail.py

diff --git a/utils/flat_user_detail.py b/utils/flat_user_detail.py
deleted file mode 100644
index 56fcbd2..0000000
--- a/utils/flat_user_detail.py
+++ /dev/null
@@ -1,109 +0,0 @@
-from sys import stderr, stdin
-from decimal import Decimal
-from functools import reduce
-from typing import Literal
-
-import polars as pl
-import orjson as json
-import pyecharts.options as opts
-from pyecharts.charts import Scatter
-from loguru import logger
-
-
-from helpers import query_music_db, find_level, dx_rating
-
-
-def calculate_dxrating(music: dict):
-    music_id = music["musicId"]
-    level_id = music["level"]
-    ach = music["achievement"]
-    music_info = query_music_db(music_id)
-    if not music_info:
-        logger.error(f"music: {music_id} not found")
-        return music | {"dxRating": 0}
-    level = find_level(music_info, level_id)
-
-    try:
-        return music | {"dxRating": dx_rating(Decimal(level.pop()["difficulty"]), ach)}
-    except IndexError as _:
-        if level_id != 10:
-            logger.warning(f"unknown level: {music_id} - {level_id}", file=stderr)
-        return music | {"dxRating": 0}
-
-
-data = json.loads(stdin.buffer.read())
-user_id = data["userId"]
-music_list: list[dict[str, dict]] = data["userMusicList"]
-musics = reduce(
-    lambda a, b: a + b, (music["userMusicDetailList"] for music in music_list)
-)
-
-musics = list(map(calculate_dxrating, musics))
-
-df = (
-    pl.LazyFrame(musics)
-    .filter(pl.col("dxRating") > 0)  # filter out invalid play
-    .select(["playCount", "dxRating"])
-    .sort("dxRating", descending=False)
-    .with_columns(pl.col("playCount").cum_sum())
-    .collect()
-)
-
-x_data = df["playCount"].to_list()
-y_data = df["dxRating"].to_list()
-
-
-def init_chart(
-    x_type: Literal["value", "log"],
-    x_min: int = 1,
-    x_max: int = 5000,
-    y_max: int = 330,
-) -> Scatter:
-    return (
-        Scatter(
-            init_opts=opts.InitOpts(
-                width="1600px",  # 设置图表宽度
-                height="1000px",  # 设置图表高度
-            )
-        )
-        .set_series_opts()
-        .set_global_opts(
-            xaxis_opts=opts.AxisOpts(
-                type_=x_type,
-                min_=x_min,
-                max_=x_max,
-            ),
-            yaxis_opts=opts.AxisOpts(
-                type_="value",
-                axistick_opts=opts.AxisTickOpts(is_show=True),
-                splitline_opts=opts.SplitLineOpts(is_show=True),
-                min_=50,
-                max_=y_max,
-            ),
-            tooltip_opts=opts.TooltipOpts(is_show=False),
-            visualmap_opts=opts.VisualMapOpts(max_=330),
-        )
-        .add_xaxis(xaxis_data=x_data)
-        .add_yaxis(
-            series_name="",
-            y_axis=y_data,
-            symbol_size=5,
-            label_opts=opts.LabelOpts(is_show=False),
-        )
-    )
-
-
-x_max = (x_data[-1] // 50 * 50) + 50
-y_max = min(330, (y_data[-1] // 50 * 50) + 50)
-init_chart(
-    "value",
-    1,
-    x_max,
-    y_max=y_max,
-).render(f"{user_id}-pc-rating-linear.html")
-init_chart(
-    "log",
-    (x_max // 100) or 10,
-    x_max,
-    y_max=y_max,
-).render(f"{user_id}-pc-rating-log.html")