feat: initial commit

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Data Modules - 配置文件
API 配置通过环境变量读取(支持 .env 文件):
- EMBED_BASE_URL, EMBED_MODEL, EMBED_API_KEY
- RERANK_BASE_URL, RERANK_MODEL, RERANK_API_KEY
"""
import os
from pathlib import Path
from dataclasses import dataclass, field
from typing import Optional
from runtime_compat import normalize_windows_path
from .context_weights import TEMPLATE_WEIGHTS_DYNAMIC_DEFAULT
def _get_user_claude_root() -> Path:
raw = os.environ.get("NOMA_CLAUDE_HOME") or os.environ.get("CLAUDE_HOME")
if raw:
try:
return normalize_windows_path(raw).expanduser().resolve()
except Exception:
return normalize_windows_path(raw).expanduser()
return (Path.home() / ".claude").resolve()
def _load_dotenv_file(env_path: Path, *, override: bool = False) -> bool:
if not env_path.exists():
return False
try:
with open(env_path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if line and not line.startswith("#") and "=" in line:
key, _, value = line.partition("=")
key = key.strip()
value = value.strip()
if not key:
continue
# 默认不覆盖已有环境变量(保持“显式 > .env”优先级)
if override or key not in os.environ:
os.environ[key] = value
return True
except Exception:
return False
def _load_dotenv():
"""
加载 .env 文件(best-effort)。
约定:
- 项目级 `.env`(当前工作目录下)优先;
- 全局 `.env` 作为兜底:`~/.claude/novelmaster/.env`
"""
# 1) 当前目录(常见:用户从项目根目录执行)
_load_dotenv_file(Path.cwd() / ".env", override=False)
# 2) 用户级全局(常见:skills/agents 全局安装,API key 放这里最省心)
global_env = _get_user_claude_root() / "novelmaster" / ".env"
_load_dotenv_file(global_env, override=False)
def _load_project_dotenv(project_root: Path) -> None:
"""
加载某个项目根目录下的 `.env`best-effort)。
优先加载顺序:.noma/config.env > .env
注意:不覆盖已存在环境变量,避免意外串台。
"""
project_root = Path(project_root)
# 优先加载 .noma/config.env(新版)
try:
_load_dotenv_file(project_root / ".noma" / "config.env", override=False)
except Exception:
pass
# 兼容旧版 .env
try:
_load_dotenv_file(project_root / ".env", override=False)
except Exception:
pass
_load_dotenv()
def _default_context_template_weights_dynamic() -> dict[str, dict[str, dict[str, float]]]:
return {
stage: {
template: dict(weights)
for template, weights in templates.items()
}
for stage, templates in TEMPLATE_WEIGHTS_DYNAMIC_DEFAULT.items()
}
@dataclass
class DataModulesConfig:
"""数据模块配置"""
# ================= 项目路径 =================
project_root: Path = field(default_factory=lambda: Path.cwd())
@property
def noma_dir(self) -> Path:
return self.project_root / ".noma"
@property
def state_file(self) -> Path:
return self.noma_dir / "state.json"
@property
def index_db(self) -> Path:
return self.noma_dir / "index.db"
# v5.1 引入: alias_index_file 已废弃,别名存储在 index.db aliases 表
@property
def chapters_dir(self) -> Path:
return self.project_root / "正文"
@property
def settings_dir(self) -> Path:
return self.project_root / "设定集"
@property
def outline_dir(self) -> Path:
return self.project_root / "大纲"
@property
def wiki_dir(self) -> Path:
return self.noma_dir / "wiki"
# ================= Embedding API 配置 =================
embed_api_type: str = "openai"
embed_base_url: str = field(default_factory=lambda: os.getenv("EMBED_BASE_URL", "https://api-inference.modelscope.cn/v1"))
embed_model: str = field(default_factory=lambda: os.getenv("EMBED_MODEL", "Qwen/Qwen3-Embedding-8B"))
embed_api_key: str = field(default_factory=lambda: os.getenv("EMBED_API_KEY", ""))
@property
def embed_url(self) -> str:
return self.embed_base_url
# ================= Rerank API 配置 =================
rerank_api_type: str = "openai"
rerank_base_url: str = field(default_factory=lambda: os.getenv("RERANK_BASE_URL", "https://api.jina.ai/v1"))
rerank_model: str = field(default_factory=lambda: os.getenv("RERANK_MODEL", "jina-reranker-v3"))
rerank_api_key: str = field(default_factory=lambda: os.getenv("RERANK_API_KEY", ""))
@property
def rerank_url(self) -> str:
return self.rerank_base_url
# ================= 并发配置 =================
embed_concurrency: int = 64
rerank_concurrency: int = 32
embed_batch_size: int = 64
# ================= 超时配置 =================
cold_start_timeout: int = 300
normal_timeout: int = 180
# ================= 重试配置 =================
api_max_retries: int = 3 # 最大重试次数
api_retry_delay: float = 1.0 # 初始重试延迟(秒),使用指数退避
# ================= 检索配置 =================
vector_top_k: int = 30
bm25_top_k: int = 20
rerank_top_n: int = 10
rrf_k: int = 60
vector_full_scan_max_vectors: int = 500
vector_prefilter_bm25_candidates: int = 200
vector_prefilter_recent_candidates: int = 200
# ================= Graph-RAG 配置 =================
graph_rag_enabled: bool = False
graph_rag_expand_hops: int = 1
graph_rag_max_expanded_entities: int = 30
graph_rag_candidate_limit: int = 150
graph_rag_boost_same_entity: float = 0.2
graph_rag_boost_related_entity: float = 0.1
graph_rag_boost_recency: float = 0.05
relationship_graph_from_index_enabled: bool = True
# ================= 实体提取配置 =================
extraction_confidence_high: float = 0.8
extraction_confidence_medium: float = 0.5
# ================= 列表截断限制 =================
max_disambiguation_warnings: int = 500
max_disambiguation_pending: int = 1000
max_state_changes: int = 2000
context_recent_summaries_window: int = 3
context_recent_meta_window: int = 3
context_alerts_slice: int = 10
context_max_appearing_characters: int = 10
context_max_urgent_foreshadowing: int = 5
context_story_skeleton_interval: int = 20
context_story_skeleton_max_samples: int = 5
context_story_skeleton_snippet_chars: int = 400
context_extra_section_budget: int = 800
context_ranker_enabled: bool = True
context_ranker_recency_weight: float = 0.7
context_ranker_frequency_weight: float = 0.3
context_ranker_hook_bonus: float = 0.2
context_ranker_length_bonus_cap: float = 0.2
context_ranker_alert_critical_keywords: tuple[str, ...] = (
"冲突",
"矛盾",
"critical",
"break",
"违规",
"断裂",
)
context_ranker_debug: bool = False
context_reader_signal_enabled: bool = True
context_reader_signal_recent_limit: int = 5
context_reader_signal_window_chapters: int = 20
context_reader_signal_review_window: int = 5
context_reader_signal_include_debt: bool = False
context_genre_profile_enabled: bool = True
context_genre_profile_max_refs: int = 8
context_genre_profile_fallback: str = "shuangwen"
context_compact_text_enabled: bool = True
context_compact_min_budget: int = 120
context_compact_head_ratio: float = 0.65
context_writing_guidance_enabled: bool = True
context_writing_guidance_max_items: int = 6
context_writing_guidance_low_score_threshold: float = 75.0
context_writing_guidance_hook_diversify: bool = True
context_methodology_enabled: bool = True
context_methodology_genre_whitelist: tuple[str, ...] = ("*",)
context_methodology_label: str = "digital-serial-v1"
context_writing_checklist_enabled: bool = True
context_writing_checklist_min_items: int = 3
context_writing_checklist_max_items: int = 6
context_writing_checklist_default_weight: float = 1.0
context_writing_score_persist_enabled: bool = True
context_writing_score_include_reader_trend: bool = True
context_writing_score_trend_window: int = 10
context_rag_assist_enabled: bool = True
context_rag_assist_top_k: int = 4
context_rag_assist_min_outline_chars: int = 40
context_rag_assist_max_query_chars: int = 120
context_dynamic_budget_enabled: bool = True
context_dynamic_budget_early_chapter: int = 30
context_dynamic_budget_late_chapter: int = 120
context_dynamic_budget_early_core_bonus: float = 0.08
context_dynamic_budget_early_scene_bonus: float = 0.04
context_dynamic_budget_late_global_bonus: float = 0.08
context_dynamic_budget_late_scene_penalty: float = 0.06
context_template_weights_dynamic: dict[str, dict[str, dict[str, float]]] = field(
default_factory=_default_context_template_weights_dynamic
)
context_genre_profile_support_composite: bool = True
context_genre_profile_max_genres: int = 2
context_genre_profile_separators: tuple[str, ...] = (
"+",
"/",
"|",
",",
"",
"",
)
export_recent_changes_slice: int = 20
export_disambiguation_slice: int = 20
# ================= 查询默认限制 =================
query_recent_chapters_limit: int = 10
query_scenes_by_location_limit: int = 20
query_entity_appearances_limit: int = 50
query_recent_appearances_limit: int = 20
# ================= 伏笔紧急度 =================
foreshadowing_urgency_pending_high: int = 100
foreshadowing_urgency_pending_medium: int = 50
foreshadowing_urgency_target_proximity: int = 5
foreshadowing_urgency_score_high: int = 100
foreshadowing_urgency_score_medium: int = 60
foreshadowing_urgency_score_target: int = 80
foreshadowing_urgency_score_low: int = 20
foreshadowing_urgency_threshold_show: int = 60
foreshadowing_tier_weight_core: float = 3.0
foreshadowing_tier_weight_sub: float = 2.0
foreshadowing_tier_weight_decor: float = 1.0
# ================= 角色活跃度 =================
character_absence_warning: int = 30
character_absence_critical: int = 100
character_candidates_limit: int = 800
# ================= Strand Weave 节奏 =================
strand_quest_max_consecutive: int = 5
strand_fire_max_gap: int = 10
strand_constellation_max_gap: int = 15
strand_quest_ratio_min: int = 55
strand_quest_ratio_max: int = 65
strand_fire_ratio_min: int = 20
strand_fire_ratio_max: int = 30
strand_constellation_ratio_min: int = 10
strand_constellation_ratio_max: int = 20
# ================= 爽点节奏 =================
pacing_segment_size: int = 100
pacing_words_per_point_excellent: int = 1000
pacing_words_per_point_good: int = 1500
pacing_words_per_point_acceptable: int = 2000
# ================= RAG 存储 =================
@property
def rag_db(self) -> Path:
return self.noma_dir / "rag.db"
@property
def vector_db(self) -> Path:
return self.noma_dir / "vectors.db"
def ensure_dirs(self):
self.noma_dir.mkdir(parents=True, exist_ok=True)
@classmethod
def from_project_root(cls, project_root: str | Path) -> "DataModulesConfig":
root = normalize_windows_path(project_root).expanduser().resolve()
# 在构造配置前加载项目级 `.env`,以确保 EMBED_*/RERANK_* 等字段可生效
_load_project_dotenv(root)
return cls(project_root=root)
_default_config: Optional[DataModulesConfig] = None
def get_config(project_root: Optional[Path] = None) -> DataModulesConfig:
global _default_config
if project_root is not None:
return DataModulesConfig.from_project_root(project_root)
if _default_config is None:
# 默认不要盲目以 CWD 作为 project_root(很容易写到错误目录)。
# 使用统一的 project_locator 自动探测:
# - 支持 NOMA_PROJECT_ROOT
# - 支持 `.claude/.noma-current-project` 指针文件
# - 支持从当前目录/父目录寻找 `.noma/state.json`
from project_locator import resolve_project_root
root = resolve_project_root()
_default_config = DataModulesConfig.from_project_root(root)
return _default_config
def set_project_root(project_root: str | Path):
global _default_config
_default_config = DataModulesConfig.from_project_root(project_root)