File size: 6,586 Bytes
921d377 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 | """
Level / tier description per progression scheme.
``describe_level`` takes a scheme + progress dict and returns a
``LevelDescription`` with (current_level, xp, xp_next, human
label). The frontend reads this to render the progress meter.
"""
from __future__ import annotations
import math
from dataclasses import dataclass
from typing import Dict
@dataclass(frozen=True)
class LevelDescription:
"""Human-readable progress snapshot."""
scheme: str
level: int
current_value: float
next_threshold: float
label: str
display: str # pre-formatted '15 / 35 XP → Level 2'
# ─────────────────────────────────────────────────────────────────
# xp_level — quadratic curve: level N requires 15 * N^1.5 XP total
# ─────────────────────────────────────────────────────────────────
def _xp_threshold(level: int) -> int:
"""XP needed to REACH the start of this level."""
if level <= 1:
return 0
return int(15 * math.pow(level - 1, 1.5))
def level_from_xp(xp: float) -> int:
lvl = 1
while xp >= _xp_threshold(lvl + 1):
lvl += 1
if lvl >= 50:
break
return lvl
def _describe_xp_level(progress: Dict[str, float]) -> LevelDescription:
xp = float(progress.get("xp", 0.0))
level = int(progress.get("level") or level_from_xp(xp))
next_threshold = _xp_threshold(level + 1)
display = f"Level {level} {int(xp)} / {next_threshold} XP → Level {level + 1}"
return LevelDescription(
scheme="xp_level", level=level, current_value=xp,
next_threshold=next_threshold, label=f"Level {level}", display=display,
)
# ─────────────────────────────────────────────────────────────────
# mastery — percentage (0..1) toward a single topic or overall
# ─────────────────────────────────────────────────────────────────
def _describe_mastery(progress: Dict[str, float]) -> LevelDescription:
pct = float(progress.get("pct", 0.0))
pct = max(0.0, min(1.0, pct))
level = int(pct * 100)
display = f"{level}% mastery"
return LevelDescription(
scheme="mastery", level=level, current_value=pct,
next_threshold=1.0, label=f"{level}%", display=display,
)
# ─────────────────────────────────────────────────────────────────
# cefr — tier (A1..C2 numeric 1..6)
# ─────────────────────────────────────────────────────────────────
_CEFR_NAMES = ["A1", "A2", "B1", "B2", "C1", "C2"]
def _describe_cefr(progress: Dict[str, float]) -> LevelDescription:
tier = int(progress.get("tier", 1) or 1)
tier = max(1, min(6, tier))
name = _CEFR_NAMES[tier - 1]
next_name = _CEFR_NAMES[tier] if tier < 6 else "C2"
display = f"CEFR {name} → {next_name}"
return LevelDescription(
scheme="cefr", level=tier, current_value=float(tier),
next_threshold=float(min(6, tier + 1)), label=name, display=display,
)
# ─────────────────────────────────────────────────────────────────
# affinity_tier — float 0..1 mapped to named tiers
# ─────────────────────────────────────────────────────────────────
_AFFINITY_TIERS = [
(0.0, "Stranger"),
(0.2, "Friendly"),
(0.5, "Close"),
(0.75, "Intimate"),
(0.9, "Devoted"),
]
def _describe_affinity(progress: Dict[str, float]) -> LevelDescription:
aff = float(progress.get("affinity", 0.5))
aff = max(0.0, min(1.0, aff))
label = "Stranger"
next_threshold = 1.0
tier_idx = 0
for i, (thresh, name) in enumerate(_AFFINITY_TIERS):
if aff >= thresh:
label = name
tier_idx = i + 1
next_threshold = _AFFINITY_TIERS[i + 1][0] if i + 1 < len(_AFFINITY_TIERS) else 1.0
display = f"{label} ({int(aff * 100)}%)"
return LevelDescription(
scheme="affinity_tier", level=tier_idx, current_value=aff,
next_threshold=next_threshold, label=label, display=display,
)
# ─────────────────────────────────────────────────────────────────
# certification — discrete states
# ─────────────────────────────────────────────────────────────────
def _describe_certification(progress: Dict[str, float]) -> LevelDescription:
stage = int(progress.get("stage", 0) or 0)
stages = ["Not started", "In progress", "Passed", "Certified"]
stage = max(0, min(len(stages) - 1, stage))
display = stages[stage]
return LevelDescription(
scheme="certification", level=stage, current_value=float(stage),
next_threshold=float(len(stages) - 1), label=stages[stage], display=display,
)
# ─────────────────────────────────────────────────────────────────
# Public dispatcher
# ─────────────────────────────────────────────────────────────────
_DISPATCH = {
"xp_level": _describe_xp_level,
"mastery": _describe_mastery,
"cefr": _describe_cefr,
"affinity_tier": _describe_affinity,
"certification": _describe_certification,
}
def describe_level(scheme: str, progress: Dict[str, float]) -> LevelDescription:
fn = _DISPATCH.get(scheme, _describe_xp_level)
return fn(progress)
|