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xiaoxia-saas/packages/domain/points_rules.py
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xiaoxia 5d6a4675fb
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feat(viral-video): 动态积分定价(按tokens×单价×1.3,保留两位小数) (#2152)
Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-03 00:20:20 +08:00

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"""积分消耗规则配置 (#1895)
v1.6.1: 按产品决策,智能混剪/AI数字人/AI配音/抖音解析/改写/标题/封面 全部免费,
仅保留声音克隆合成(voice_clone_synth)的扣点逻辑;声音克隆训练保持免费。
爆款视频(viral_video)走动态定价,见本文件 VIRAL_VIDEO_MODEL_PRICES + calculate_viral_video_credits。
"""
from __future__ import annotations
import math
# ============ 爆款视频动态定价 (#2151) ============
# key = (model_id, resolution, has_video_input),单位:元/百万token
VIRAL_VIDEO_MODEL_PRICES: dict[tuple[str, str, bool], float] = {
("seedance-2.5", "480p", False): 70.0,
("seedance-2.5", "720p", False): 70.0,
("seedance-2.5", "1080p", False): 77.0,
("seedance-2.5", "480p", True): 42.0,
("seedance-2.5", "720p", True): 42.0,
("seedance-2.5", "1080p", True): 46.0,
("seedance-2.0", "480p", False): 46.0,
("seedance-2.0", "720p", False): 46.0,
("seedance-2.0", "1080p", False): 51.0,
}
# 固定成本(元):VLM 分析 + LLM 文案 + TTS + OSS + 服务器
VIRAL_VIDEO_FIXED_COST = 0.15
# 利润系数
VIRAL_VIDEO_PROFIT_MULTIPLIER = 1.3
# Seedance 输出帧率
VIRAL_VIDEO_FPS = 24
# 分辨率别名映射 -> 标准 key
_RESOLUTION_ALIASES: dict[str, str] = {
"480p": "480p",
"普清": "480p",
"default": "480p",
"low": "480p",
"sd": "480p",
"720p": "720p",
"高清": "720p",
"medium": "720p",
"hd": "720p",
"1080p": "1080p",
"超清": "1080p",
"high": "1080p",
"ultra": "1080p",
"全能": "1080p",
"fhd": "1080p",
}
# 分辨率 -> 高度
_RESOLUTION_HEIGHT: dict[str, int] = {"480p": 480, "720p": 720, "1080p": 1080}
def resolve_video_dimensions(resolution: str, ratio: str) -> tuple[int, int]:
"""把 (resolution, ratio) 解析为 (width, height)。"""
key = str(resolution or "").strip()
key_l = key.lower()
res_key = _RESOLUTION_ALIASES.get(key_l) or _RESOLUTION_ALIASES.get(key) or "720p"
h = _RESOLUTION_HEIGHT.get(res_key, 720)
r = str(ratio or "").strip().lower()
if r == "16:9":
w = h * 16 // 9
elif r == "1:1":
w = h
else:
w = h * 9 // 16
return int(w), int(h)
def _match_model_prefix(model: str) -> str:
"""匹配 model 前缀。"""
m = (model or "").strip().lower()
for prefix in ("seedance-2.5", "seedance-2.0"):
if m.startswith(prefix):
return prefix
return "seedance-2.5"
def _infer_resolution_key(height: int) -> str:
"""从像素高度推断 resolution key。"""
if height >= 1000:
return "1080p"
if height >= 650:
return "720p"
return "480p"
def calculate_viral_video_credits(
duration_seconds: int,
width: int,
height: int,
model: str = "seedance-2.5",
has_video_input: bool = False,
actual_tokens: int | None = None,
fps: int = VIRAL_VIDEO_FPS,
) -> float:
"""计算爆款视频所需积分(1 积分 = 1 元)。
公式:
tokens = duration * width * height * fps / 1024
video_cost = tokens / 1_000_000 * model_token_price
total = round((video_cost + fixed_cost) * 1.3, 2)
若传入 actual_tokens 则用它替代计算值。
"""
prefix = _match_model_prefix(model)
res_key = _infer_resolution_key(int(height or 720))
key = (prefix, res_key, bool(has_video_input))
price = VIRAL_VIDEO_MODEL_PRICES.get(key)
if price is None:
price = VIRAL_VIDEO_MODEL_PRICES.get(("seedance-2.5", res_key, False), 70.0)
if actual_tokens is not None and actual_tokens > 0:
tokens = float(actual_tokens)
else:
dur = max(1, int(duration_seconds or 15))
w = max(1, int(width or 1))
h = max(1, int(height or 1))
tokens = dur * w * h * int(fps or VIRAL_VIDEO_FPS) / 1024.0
video_cost = tokens / 1_000_000.0 * float(price)
total = (video_cost + VIRAL_VIDEO_FIXED_COST) * VIRAL_VIDEO_PROFIT_MULTIPLIER
return round(float(total), 2)
# ============ 场景定义 ============
# 每个场景: base_points(基础积分), unit(计费单位), name(显示名称)
# 说明:仅保留需要扣点的场景;免费场景不要写入此字典。
POINTS_SCENES: dict[str, dict] = {
"voice_clone_train": {
"base_points": 0,
"unit": "次",
"name": "声音克隆训练",
"description": "声音克隆训练免费(每用户限 1 个声音)",
},
"voice_clone_synth": {
"base_points": 1,
"unit": "分钟",
"name": "声音克隆合成",
"description": "克隆音色合成每分钟消耗 1 积分",
},
}
# 免费用户积分消耗上浮系数(仅对 voice_clone_synth 生效)
FREE_USER_MULTIPLIER = 1.15
# ============ 积分包定义 ============
POINTS_PACKAGES: dict[str, dict] = {
"starter_pack": {"name": "体验包", "points": 100, "price_cents": 990},
"basic_pack": {"name": "基础包", "points": 500, "price_cents": 3900},
"pro_pack": {"name": "专业包", "points": 2000, "price_cents": 12900},
}
# ============ 会员定价 ============
MEMBERSHIP_PRICES: dict[str, dict] = {
"monthly": {"name": "月卡", "price_cents": 1990, "duration_days": 30},
"quarterly": {"name": "季卡", "price_cents": 3990, "duration_days": 90},
"yearly": {"name": "年卡", "price_cents": 15900, "duration_days": 365},
}
# 会员积分折扣(付费会员按此系数打折)
MEMBER_DISCOUNT: dict[str, float] = {
"monthly": 0.9,
"quarterly": 0.87,
"yearly": 0.8,
}
def calculate_points_cost(
scene_key: str,
is_member: bool,
quantity: int = 1,
duration_minutes: float = 0,
member_type: str | None = None,
) -> float:
"""计算指定场景的积分消耗。
Args:
scene_key: 场景标识(当前仅支持 voice_clone_train/voice_clone_synth)
is_member: 是否付费会员
quantity: 数量(按次计费场景)
duration_minutes: 时长分钟数(按时长计费场景)
member_type: 会员类型 (monthly/quarterly/yearly),用于折扣
Returns:
实际消耗积分(float;已含免费用户 ×1.15 上浮或会员折扣);免费/已下线场景统一返回 0。
"""
scene = POINTS_SCENES.get(scene_key)
if not scene:
# 已下线/未注册的场景统一返回 0(免费),保持向后兼容
return 0.0
base = scene["base_points"]
if base == 0:
return 0.0
unit = scene["unit"]
if unit == "分钟":
total_base = base * max(1, math.ceil(duration_minutes))
elif unit in ("次", "张"):
total_base = base * quantity
else:
total_base = base
if is_member and member_type and member_type in MEMBER_DISCOUNT:
total_base = max(1, math.floor(total_base * MEMBER_DISCOUNT[member_type]))
elif not is_member:
total_base = math.ceil(total_base * FREE_USER_MULTIPLIER)
return float(total_base)