810 lines
32 KiB
Python
810 lines
32 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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ContextManager - assemble context packs with weighted priorities.
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"""
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from __future__ import annotations
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import json
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import re
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import sys
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import logging
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from pathlib import Path
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from runtime_compat import enable_windows_utf8_stdio
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from typing import Any, Dict, List, Optional
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try:
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from chapter_outline_loader import load_chapter_outline
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except ImportError: # pragma: no cover
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from scripts.chapter_outline_loader import load_chapter_outline
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from .config import get_config
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from .index_manager import IndexManager, WritingChecklistScoreMeta
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from .context_ranker import ContextRanker
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from .snapshot_manager import SnapshotManager, SnapshotVersionMismatch
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from .context_weights import (
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DEFAULT_TEMPLATE as CONTEXT_DEFAULT_TEMPLATE,
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TEMPLATE_WEIGHTS as CONTEXT_TEMPLATE_WEIGHTS,
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TEMPLATE_WEIGHTS_DYNAMIC_DEFAULT as CONTEXT_TEMPLATE_WEIGHTS_DYNAMIC_DEFAULT,
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)
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from .genre_aliases import normalize_genre_token, to_profile_key
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from .genre_profile_builder import (
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build_composite_genre_hints,
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extract_genre_section,
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extract_markdown_refs,
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parse_genre_tokens,
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)
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from .writing_guidance_builder import (
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build_methodology_guidance_items,
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build_methodology_strategy_card,
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build_guidance_items,
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build_writing_checklist,
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is_checklist_item_completed,
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)
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logger = logging.getLogger(__name__)
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class ContextManager:
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DEFAULT_TEMPLATE = CONTEXT_DEFAULT_TEMPLATE
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TEMPLATE_WEIGHTS = CONTEXT_TEMPLATE_WEIGHTS
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TEMPLATE_WEIGHTS_DYNAMIC = CONTEXT_TEMPLATE_WEIGHTS_DYNAMIC_DEFAULT
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EXTRA_SECTIONS = {
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"story_skeleton",
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"memory",
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"preferences",
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"alerts",
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"reader_signal",
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"genre_profile",
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"writing_guidance",
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"wiki",
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}
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SECTION_ORDER = [
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"core",
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"scene",
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"global",
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"reader_signal",
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"genre_profile",
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"writing_guidance",
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"story_skeleton",
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"memory",
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"wiki",
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"preferences",
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"alerts",
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]
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SUMMARY_SECTION_RE = re.compile(r"##\s*剧情摘要\s*\r?\n(.*?)(?=\r?\n##|\Z)", re.DOTALL)
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def __init__(self, config=None, snapshot_manager: Optional[SnapshotManager] = None):
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self.config = config or get_config()
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self.snapshot_manager = snapshot_manager or SnapshotManager(self.config)
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self.index_manager = IndexManager(self.config)
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self.context_ranker = ContextRanker(self.config)
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def _is_snapshot_compatible(self, cached: Dict[str, Any], template: str) -> bool:
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"""判断快照是否可用于当前模板。"""
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if not isinstance(cached, dict):
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return False
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meta = cached.get("meta")
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if not isinstance(meta, dict):
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# 兼容旧快照：未记录 template 时仅允许默认模板复用
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return template == self.DEFAULT_TEMPLATE
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cached_template = meta.get("template")
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if not isinstance(cached_template, str):
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return template == self.DEFAULT_TEMPLATE
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return cached_template == template
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def build_context(
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self,
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chapter: int,
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template: str | None = None,
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use_snapshot: bool = True,
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save_snapshot: bool = True,
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max_chars: Optional[int] = None,
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) -> Dict[str, Any]:
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template = template or self.DEFAULT_TEMPLATE
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self._active_template = template
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if template not in self.TEMPLATE_WEIGHTS:
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template = self.DEFAULT_TEMPLATE
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self._active_template = template
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if use_snapshot:
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try:
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cached = self.snapshot_manager.load_snapshot(chapter)
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if cached and self._is_snapshot_compatible(cached, template):
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return cached.get("payload", cached)
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except SnapshotVersionMismatch:
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# Snapshot incompatible; rebuild below.
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pass
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pack = self._build_pack(chapter)
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if getattr(self.config, "context_ranker_enabled", True):
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pack = self.context_ranker.rank_pack(pack, chapter)
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assembled = self.assemble_context(pack, template=template, max_chars=max_chars)
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if save_snapshot:
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meta = {"template": template}
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self.snapshot_manager.save_snapshot(chapter, assembled, meta=meta)
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return assembled
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def assemble_context(
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self,
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pack: Dict[str, Any],
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template: str = DEFAULT_TEMPLATE,
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max_chars: Optional[int] = None,
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) -> Dict[str, Any]:
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chapter = int((pack.get("meta") or {}).get("chapter") or 0)
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weights = self._resolve_template_weights(template=template, chapter=chapter)
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max_chars = max_chars or 8000
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extra_budget = int(self.config.context_extra_section_budget or 0)
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sections = {}
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for section_name in self.SECTION_ORDER:
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if section_name in pack:
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sections[section_name] = pack[section_name]
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assembled: Dict[str, Any] = {"meta": pack.get("meta", {}), "sections": {}}
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for name, content in sections.items():
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weight = weights.get(name, 0.0)
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if weight > 0:
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budget = int(max_chars * weight)
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elif name in self.EXTRA_SECTIONS and extra_budget > 0:
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budget = extra_budget
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else:
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budget = None
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text = self._compact_json_text(content, budget)
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assembled["sections"][name] = {"content": content, "text": text, "budget": budget}
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assembled["template"] = template
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assembled["weights"] = weights
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if chapter > 0:
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assembled.setdefault("meta", {})["context_weight_stage"] = self._resolve_context_stage(chapter)
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return assembled
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def filter_invalid_items(self, items: List[Dict[str, Any]], source_type: str, id_key: str) -> List[Dict[str, Any]]:
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confirmed = self.index_manager.get_invalid_ids(source_type, status="confirmed")
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pending = self.index_manager.get_invalid_ids(source_type, status="pending")
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result = []
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for item in items:
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item_id = str(item.get(id_key, ""))
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if item_id in confirmed:
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continue
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if item_id in pending:
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item = dict(item)
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item["warning"] = "pending_invalid"
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result.append(item)
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return result
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def apply_confidence_filter(self, items: List[Dict[str, Any]], min_confidence: float) -> List[Dict[str, Any]]:
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filtered: List[Dict[str, Any]] = []
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for item in items:
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conf = item.get("confidence")
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if conf is None or conf >= min_confidence:
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filtered.append(item)
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return filtered
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def _build_pack(self, chapter: int) -> Dict[str, Any]:
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state = self._load_state()
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core = {
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"chapter_outline": self._load_outline(chapter),
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"protagonist_snapshot": state.get("protagonist_state", {}),
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"recent_summaries": self._load_recent_summaries(
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chapter,
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window=self.config.context_recent_summaries_window,
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),
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"recent_meta": self._load_recent_meta(
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state,
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chapter,
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window=self.config.context_recent_meta_window,
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),
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}
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scene = {
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"location_context": state.get("protagonist_state", {}).get("location", {}),
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"appearing_characters": self._load_recent_appearances(
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limit=self.config.context_max_appearing_characters,
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),
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}
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scene["appearing_characters"] = self.filter_invalid_items(
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scene["appearing_characters"], source_type="entity", id_key="entity_id"
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)
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global_ctx = {
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"worldview_skeleton": self._load_setting("世界观"),
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"power_system_skeleton": self._load_setting("力量体系"),
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"style_contract_ref": self._load_setting("风格契约"),
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}
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preferences = self._load_json_optional(self.config.noma_dir / "preferences.json")
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memory = self._load_json_optional(self.config.noma_dir / "project_memory.json")
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story_skeleton = self._load_story_skeleton(chapter)
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alert_slice = max(0, int(self.config.context_alerts_slice))
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reader_signal = self._load_reader_signal(chapter)
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genre_profile = self._load_genre_profile(state)
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writing_guidance = self._build_writing_guidance(chapter, reader_signal, genre_profile)
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wiki_data = self._load_wiki_context()
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return {
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"meta": {"chapter": chapter},
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"core": core,
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"scene": scene,
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"global": global_ctx,
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"reader_signal": reader_signal,
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"genre_profile": genre_profile,
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"writing_guidance": writing_guidance,
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"story_skeleton": story_skeleton,
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"preferences": preferences,
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"memory": memory,
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"wiki": wiki_data,
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"alerts": {
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"disambiguation_warnings": (
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state.get("disambiguation_warnings", [])[-alert_slice:] if alert_slice else []
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),
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"disambiguation_pending": (
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state.get("disambiguation_pending", [])[-alert_slice:] if alert_slice else []
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),
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},
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}
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def _load_wiki_context(self) -> Dict[str, Any]:
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"""Load relevant wiki entries for context assembly."""
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from .wiki_manager import WikiManager
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wiki_dir = self.config.wiki_dir
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if not wiki_dir.exists():
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return {}
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wiki = WikiManager(self.config)
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protagonist_wiki = None
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protagonist = self.index_manager.get_protagonist()
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if protagonist:
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eid = protagonist.get("id", "")
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if eid:
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entry = wiki.get_entity_wiki(eid)
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if entry:
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protagonist_wiki = entry.get("frontmatter", {})
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plot_threads = wiki.get_plot_threads()
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patterns = wiki.get_writing_patterns()
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return {
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"protagonist_profile": protagonist_wiki,
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"plot_threads": plot_threads.get("body", "")[:500] if plot_threads else None,
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"writing_patterns": patterns[-5:] if patterns else [],
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}
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def _load_reader_signal(self, chapter: int) -> Dict[str, Any]:
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if not getattr(self.config, "context_reader_signal_enabled", True):
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return {}
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recent_limit = max(1, int(getattr(self.config, "context_reader_signal_recent_limit", 5)))
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pattern_window = max(1, int(getattr(self.config, "context_reader_signal_window_chapters", 20)))
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review_window = max(1, int(getattr(self.config, "context_reader_signal_review_window", 5)))
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include_debt = bool(getattr(self.config, "context_reader_signal_include_debt", False))
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recent_power = self.index_manager.get_recent_reading_power(limit=recent_limit)
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pattern_stats = self.index_manager.get_pattern_usage_stats(last_n_chapters=pattern_window)
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hook_stats = self.index_manager.get_hook_type_stats(last_n_chapters=pattern_window)
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review_trend = self.index_manager.get_review_trend_stats(last_n=review_window)
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low_score_ranges: List[Dict[str, Any]] = []
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for row in review_trend.get("recent_ranges", []):
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score = row.get("overall_score")
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if isinstance(score, (int, float)) and float(score) < 75:
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low_score_ranges.append(
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{
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"start_chapter": row.get("start_chapter"),
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"end_chapter": row.get("end_chapter"),
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"overall_score": score,
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}
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)
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signal: Dict[str, Any] = {
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"recent_reading_power": recent_power,
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"pattern_usage": pattern_stats,
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"hook_type_usage": hook_stats,
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"review_trend": review_trend,
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"low_score_ranges": low_score_ranges,
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"next_chapter": chapter,
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}
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if include_debt:
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signal["debt_summary"] = self.index_manager.get_debt_summary()
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return signal
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def _load_genre_profile(self, state: Dict[str, Any]) -> Dict[str, Any]:
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if not getattr(self.config, "context_genre_profile_enabled", True):
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return {}
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fallback = str(getattr(self.config, "context_genre_profile_fallback", "shuangwen") or "shuangwen")
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project = state.get("project") or {}
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project_info = state.get("project_info") or {}
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genre_raw = str(project.get("genre") or project_info.get("genre") or fallback)
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genres = self._parse_genre_tokens(genre_raw)
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if not genres:
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genres = [fallback]
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max_genres = max(1, int(getattr(self.config, "context_genre_profile_max_genres", 2)))
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genres = genres[:max_genres]
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primary_genre = genres[0]
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secondary_genres = genres[1:]
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composite = len(genres) > 1
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profile_path = self.config.project_root / ".claude" / "references" / "genre-profiles.md"
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taxonomy_path = self.config.project_root / ".claude" / "references" / "reading-power-taxonomy.md"
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profile_text = profile_path.read_text(encoding="utf-8") if profile_path.exists() else ""
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taxonomy_text = taxonomy_path.read_text(encoding="utf-8") if taxonomy_path.exists() else ""
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profile_excerpt = self._extract_genre_section(profile_text, primary_genre)
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taxonomy_excerpt = self._extract_genre_section(taxonomy_text, primary_genre)
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secondary_profiles: List[str] = []
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secondary_taxonomies: List[str] = []
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for extra in secondary_genres:
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secondary_profiles.append(self._extract_genre_section(profile_text, extra))
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secondary_taxonomies.append(self._extract_genre_section(taxonomy_text, extra))
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refs = self._extract_markdown_refs(
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"\n".join([profile_excerpt] + secondary_profiles),
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max_items=int(getattr(self.config, "context_genre_profile_max_refs", 8)),
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)
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composite_hints = self._build_composite_genre_hints(genres, refs)
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return {
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"genre": primary_genre,
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"genre_raw": genre_raw,
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"genres": genres,
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"composite": composite,
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"secondary_genres": secondary_genres,
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"profile_excerpt": profile_excerpt,
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"taxonomy_excerpt": taxonomy_excerpt,
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"secondary_profile_excerpts": secondary_profiles,
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"secondary_taxonomy_excerpts": secondary_taxonomies,
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"reference_hints": refs,
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"composite_hints": composite_hints,
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}
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def _build_writing_guidance(
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self,
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chapter: int,
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reader_signal: Dict[str, Any],
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genre_profile: Dict[str, Any],
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) -> Dict[str, Any]:
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if not getattr(self.config, "context_writing_guidance_enabled", True):
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return {}
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limit = max(1, int(getattr(self.config, "context_writing_guidance_max_items", 6)))
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low_score_threshold = float(
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getattr(self.config, "context_writing_guidance_low_score_threshold", 75.0)
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)
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guidance_bundle = build_guidance_items(
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chapter=chapter,
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reader_signal=reader_signal,
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genre_profile=genre_profile,
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low_score_threshold=low_score_threshold,
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hook_diversify_enabled=bool(
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getattr(self.config, "context_writing_guidance_hook_diversify", True)
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),
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)
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guidance = list(guidance_bundle.get("guidance") or [])
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methodology_strategy: Dict[str, Any] = {}
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if self._is_methodology_enabled_for_genre(genre_profile):
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methodology_strategy = build_methodology_strategy_card(
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chapter=chapter,
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reader_signal=reader_signal,
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genre_profile=genre_profile,
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label=str(getattr(self.config, "context_methodology_label", "digital-serial-v1")),
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)
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guidance.extend(build_methodology_guidance_items(methodology_strategy))
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checklist = self._build_writing_checklist(
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chapter=chapter,
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guidance_items=guidance,
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reader_signal=reader_signal,
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genre_profile=genre_profile,
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strategy_card=methodology_strategy,
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)
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checklist_score = self._compute_writing_checklist_score(
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chapter=chapter,
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checklist=checklist,
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reader_signal=reader_signal,
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)
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if getattr(self.config, "context_writing_score_persist_enabled", True):
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self._persist_writing_checklist_score(checklist_score)
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low_ranges = guidance_bundle.get("low_ranges") or []
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hook_usage = guidance_bundle.get("hook_usage") or {}
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pattern_usage = guidance_bundle.get("pattern_usage") or {}
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genre = str(guidance_bundle.get("genre") or genre_profile.get("genre") or "").strip()
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hook_types = list(hook_usage.keys())[:3] if isinstance(hook_usage, dict) else []
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top_patterns = (
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sorted(pattern_usage, key=pattern_usage.get, reverse=True)[:3]
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if isinstance(pattern_usage, dict)
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else []
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)
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return {
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"chapter": chapter,
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"guidance_items": guidance[:limit],
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"checklist": checklist,
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"checklist_score": checklist_score,
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"methodology": methodology_strategy,
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"signals_used": {
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"has_low_score_ranges": bool(low_ranges),
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"hook_types": hook_types,
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"top_patterns": top_patterns,
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"genre": genre,
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"methodology_enabled": bool(methodology_strategy.get("enabled")),
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},
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}
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def _compute_writing_checklist_score(
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self,
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chapter: int,
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checklist: List[Dict[str, Any]],
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reader_signal: Dict[str, Any],
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) -> Dict[str, Any]:
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total_items = len(checklist)
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required_items = 0
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completed_items = 0
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completed_required = 0
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total_weight = 0.0
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completed_weight = 0.0
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pending_labels: List[str] = []
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for item in checklist:
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if not isinstance(item, dict):
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continue
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required = bool(item.get("required"))
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weight = float(item.get("weight") or 1.0)
|
||
total_weight += weight
|
||
if required:
|
||
required_items += 1
|
||
|
||
completed = self._is_checklist_item_completed(item, reader_signal)
|
||
if completed:
|
||
completed_items += 1
|
||
completed_weight += weight
|
||
if required:
|
||
completed_required += 1
|
||
else:
|
||
pending_labels.append(str(item.get("label") or item.get("id") or "未命名项"))
|
||
|
||
completion_rate = (completed_items / total_items) if total_items > 0 else 1.0
|
||
weighted_rate = (completed_weight / total_weight) if total_weight > 0 else completion_rate
|
||
required_rate = (completed_required / required_items) if required_items > 0 else 1.0
|
||
|
||
score = 100.0 * (0.5 * weighted_rate + 0.3 * required_rate + 0.2 * completion_rate)
|
||
|
||
if getattr(self.config, "context_writing_score_include_reader_trend", True):
|
||
trend_window = max(1, int(getattr(self.config, "context_writing_score_trend_window", 10)))
|
||
trend = self.index_manager.get_writing_checklist_score_trend(last_n=trend_window)
|
||
baseline = float(trend.get("score_avg") or 0.0)
|
||
if baseline > 0:
|
||
score += max(-10.0, min(10.0, (score - baseline) * 0.1))
|
||
|
||
score = round(max(0.0, min(100.0, score)), 2)
|
||
|
||
return {
|
||
"chapter": chapter,
|
||
"score": score,
|
||
"completion_rate": round(completion_rate, 4),
|
||
"weighted_completion_rate": round(weighted_rate, 4),
|
||
"required_completion_rate": round(required_rate, 4),
|
||
"total_items": total_items,
|
||
"required_items": required_items,
|
||
"completed_items": completed_items,
|
||
"completed_required": completed_required,
|
||
"total_weight": round(total_weight, 2),
|
||
"completed_weight": round(completed_weight, 2),
|
||
"pending_items": pending_labels,
|
||
"trend_window": int(getattr(self.config, "context_writing_score_trend_window", 10)),
|
||
}
|
||
|
||
def _is_checklist_item_completed(self, item: Dict[str, Any], reader_signal: Dict[str, Any]) -> bool:
|
||
return is_checklist_item_completed(item, reader_signal)
|
||
|
||
def _persist_writing_checklist_score(self, checklist_score: Dict[str, Any]) -> None:
|
||
if not checklist_score:
|
||
return
|
||
try:
|
||
self.index_manager.save_writing_checklist_score(
|
||
WritingChecklistScoreMeta(
|
||
chapter=int(checklist_score.get("chapter") or 0),
|
||
template=str(getattr(self, "_active_template", self.DEFAULT_TEMPLATE) or self.DEFAULT_TEMPLATE),
|
||
total_items=int(checklist_score.get("total_items") or 0),
|
||
required_items=int(checklist_score.get("required_items") or 0),
|
||
completed_items=int(checklist_score.get("completed_items") or 0),
|
||
completed_required=int(checklist_score.get("completed_required") or 0),
|
||
total_weight=float(checklist_score.get("total_weight") or 0.0),
|
||
completed_weight=float(checklist_score.get("completed_weight") or 0.0),
|
||
completion_rate=float(checklist_score.get("completion_rate") or 0.0),
|
||
score=float(checklist_score.get("score") or 0.0),
|
||
score_breakdown={
|
||
"weighted_completion_rate": checklist_score.get("weighted_completion_rate"),
|
||
"required_completion_rate": checklist_score.get("required_completion_rate"),
|
||
"trend_window": checklist_score.get("trend_window"),
|
||
},
|
||
pending_items=list(checklist_score.get("pending_items") or []),
|
||
source="context_manager",
|
||
)
|
||
)
|
||
except Exception as exc:
|
||
logger.warning("failed to persist writing checklist score: %s", exc)
|
||
|
||
def _resolve_context_stage(self, chapter: int) -> str:
|
||
early = max(1, int(getattr(self.config, "context_dynamic_budget_early_chapter", 30)))
|
||
late = max(early + 1, int(getattr(self.config, "context_dynamic_budget_late_chapter", 120)))
|
||
if chapter <= early:
|
||
return "early"
|
||
if chapter >= late:
|
||
return "late"
|
||
return "mid"
|
||
|
||
def _resolve_template_weights(self, template: str, chapter: int) -> Dict[str, float]:
|
||
template_key = template if template in self.TEMPLATE_WEIGHTS else self.DEFAULT_TEMPLATE
|
||
base = dict(self.TEMPLATE_WEIGHTS.get(template_key, self.TEMPLATE_WEIGHTS[self.DEFAULT_TEMPLATE]))
|
||
if not getattr(self.config, "context_dynamic_budget_enabled", True):
|
||
return base
|
||
|
||
stage = self._resolve_context_stage(chapter)
|
||
dynamic_weights = getattr(self.config, "context_template_weights_dynamic", None)
|
||
if not isinstance(dynamic_weights, dict):
|
||
dynamic_weights = self.TEMPLATE_WEIGHTS_DYNAMIC
|
||
|
||
stage_weights = dynamic_weights.get(stage, {}) if isinstance(dynamic_weights.get(stage, {}), dict) else {}
|
||
staged = stage_weights.get(template_key)
|
||
if isinstance(staged, dict):
|
||
return dict(staged)
|
||
|
||
return base
|
||
|
||
def _parse_genre_tokens(self, genre_raw: str) -> List[str]:
|
||
support_composite = bool(getattr(self.config, "context_genre_profile_support_composite", True))
|
||
separators_raw = getattr(self.config, "context_genre_profile_separators", ("+", "/", "|", ","))
|
||
separators = tuple(str(token) for token in separators_raw if str(token))
|
||
return parse_genre_tokens(
|
||
genre_raw,
|
||
support_composite=support_composite,
|
||
separators=separators,
|
||
)
|
||
|
||
def _normalize_genre_token(self, token: str) -> str:
|
||
return normalize_genre_token(token)
|
||
|
||
def _build_composite_genre_hints(self, genres: List[str], refs: List[str]) -> List[str]:
|
||
return build_composite_genre_hints(genres, refs)
|
||
|
||
def _build_writing_checklist(
|
||
self,
|
||
chapter: int,
|
||
guidance_items: List[str],
|
||
reader_signal: Dict[str, Any],
|
||
genre_profile: Dict[str, Any],
|
||
strategy_card: Dict[str, Any] | None = None,
|
||
) -> List[Dict[str, Any]]:
|
||
_ = chapter
|
||
if not getattr(self.config, "context_writing_checklist_enabled", True):
|
||
return []
|
||
|
||
min_items = max(1, int(getattr(self.config, "context_writing_checklist_min_items", 3)))
|
||
max_items = max(min_items, int(getattr(self.config, "context_writing_checklist_max_items", 6)))
|
||
default_weight = float(getattr(self.config, "context_writing_checklist_default_weight", 1.0))
|
||
if default_weight <= 0:
|
||
default_weight = 1.0
|
||
|
||
return build_writing_checklist(
|
||
guidance_items=guidance_items,
|
||
reader_signal=reader_signal,
|
||
genre_profile=genre_profile,
|
||
strategy_card=strategy_card,
|
||
min_items=min_items,
|
||
max_items=max_items,
|
||
default_weight=default_weight,
|
||
)
|
||
|
||
def _is_methodology_enabled_for_genre(self, genre_profile: Dict[str, Any]) -> bool:
|
||
if not bool(getattr(self.config, "context_methodology_enabled", False)):
|
||
return False
|
||
|
||
whitelist_raw = getattr(self.config, "context_methodology_genre_whitelist", ("*",))
|
||
if isinstance(whitelist_raw, str):
|
||
whitelist_iter = [whitelist_raw]
|
||
else:
|
||
whitelist_iter = list(whitelist_raw or [])
|
||
|
||
whitelist = {str(token).strip().lower() for token in whitelist_iter if str(token).strip()}
|
||
if not whitelist:
|
||
return True
|
||
if "*" in whitelist or "all" in whitelist:
|
||
return True
|
||
|
||
genre = str((genre_profile or {}).get("genre") or "").strip()
|
||
if not genre:
|
||
return False
|
||
|
||
profile_key = to_profile_key(genre)
|
||
return profile_key in whitelist
|
||
|
||
def _compact_json_text(self, content: Any, budget: Optional[int]) -> str:
|
||
raw = json.dumps(content, ensure_ascii=False)
|
||
if budget is None or len(raw) <= budget:
|
||
return raw
|
||
if not getattr(self.config, "context_compact_text_enabled", True):
|
||
return raw[:budget]
|
||
|
||
min_budget = max(1, int(getattr(self.config, "context_compact_min_budget", 120)))
|
||
if budget <= min_budget:
|
||
return raw[:budget]
|
||
|
||
head_ratio = float(getattr(self.config, "context_compact_head_ratio", 0.65))
|
||
head_budget = int(budget * max(0.2, min(0.9, head_ratio)))
|
||
tail_budget = max(0, budget - head_budget - 10)
|
||
compact = f"{raw[:head_budget]}…[TRUNCATED]{raw[-tail_budget:] if tail_budget else ''}"
|
||
return compact[:budget]
|
||
|
||
def _extract_genre_section(self, text: str, genre: str) -> str:
|
||
return extract_genre_section(text, genre)
|
||
|
||
def _extract_markdown_refs(self, text: str, max_items: int = 8) -> List[str]:
|
||
return extract_markdown_refs(text, max_items=max_items)
|
||
|
||
def _load_state(self) -> Dict[str, Any]:
|
||
path = self.config.state_file
|
||
if not path.exists():
|
||
return {}
|
||
return json.loads(path.read_text(encoding="utf-8"))
|
||
|
||
def _load_outline(self, chapter: int) -> str:
|
||
return load_chapter_outline(self.config.project_root, chapter, max_chars=1500)
|
||
|
||
def _load_recent_summaries(self, chapter: int, window: int = 3) -> List[Dict[str, Any]]:
|
||
summaries = []
|
||
for ch in range(max(1, chapter - window), chapter):
|
||
summary = self._load_summary_text(ch)
|
||
if summary:
|
||
summaries.append(summary)
|
||
return summaries
|
||
|
||
def _load_recent_meta(self, state: Dict[str, Any], chapter: int, window: int = 3) -> List[Dict[str, Any]]:
|
||
meta = state.get("chapter_meta", {}) or {}
|
||
results = []
|
||
for ch in range(max(1, chapter - window), chapter):
|
||
for key in (f"{ch:04d}", str(ch)):
|
||
if key in meta:
|
||
results.append({"chapter": ch, **meta.get(key, {})})
|
||
break
|
||
return results
|
||
|
||
def _load_recent_appearances(self, limit: Optional[int] = None) -> List[Dict[str, Any]]:
|
||
appearances = self.index_manager.get_recent_appearances(limit=limit)
|
||
return appearances or []
|
||
|
||
def _load_setting(self, keyword: str) -> str:
|
||
settings_dir = self.config.settings_dir
|
||
candidates = [
|
||
settings_dir / f"{keyword}.md",
|
||
]
|
||
for path in candidates:
|
||
if path.exists():
|
||
return path.read_text(encoding="utf-8")
|
||
# fallback: any file containing keyword
|
||
matches = list(settings_dir.glob(f"*{keyword}*.md"))
|
||
if matches:
|
||
return matches[0].read_text(encoding="utf-8")
|
||
return f"[{keyword}设定未找到]"
|
||
|
||
def _extract_summary_excerpt(self, text: str, max_chars: int) -> str:
|
||
if not text:
|
||
return ""
|
||
match = self.SUMMARY_SECTION_RE.search(text)
|
||
excerpt = match.group(1).strip() if match else text.strip()
|
||
if max_chars > 0 and len(excerpt) > max_chars:
|
||
return excerpt[:max_chars].rstrip()
|
||
return excerpt
|
||
|
||
def _load_summary_text(self, chapter: int, snippet_chars: Optional[int] = None) -> Optional[Dict[str, Any]]:
|
||
summary_path = self.config.noma_dir / "summaries" / f"ch{chapter:04d}.md"
|
||
if not summary_path.exists():
|
||
return None
|
||
text = summary_path.read_text(encoding="utf-8")
|
||
if snippet_chars:
|
||
summary_text = self._extract_summary_excerpt(text, snippet_chars)
|
||
else:
|
||
summary_text = text
|
||
return {"chapter": chapter, "summary": summary_text}
|
||
|
||
def _load_story_skeleton(self, chapter: int) -> List[Dict[str, Any]]:
|
||
interval = max(1, int(self.config.context_story_skeleton_interval))
|
||
max_samples = max(0, int(self.config.context_story_skeleton_max_samples))
|
||
snippet_chars = int(self.config.context_story_skeleton_snippet_chars)
|
||
|
||
if max_samples <= 0 or chapter <= interval:
|
||
return []
|
||
|
||
samples: List[Dict[str, Any]] = []
|
||
cursor = chapter - interval
|
||
while cursor >= 1 and len(samples) < max_samples:
|
||
summary = self._load_summary_text(cursor, snippet_chars=snippet_chars)
|
||
if summary and summary.get("summary"):
|
||
samples.append(summary)
|
||
cursor -= interval
|
||
|
||
samples.reverse()
|
||
return samples
|
||
|
||
def _load_json_optional(self, path: Path) -> Dict[str, Any]:
|
||
if not path.exists():
|
||
return {}
|
||
try:
|
||
return json.loads(path.read_text(encoding="utf-8"))
|
||
except json.JSONDecodeError:
|
||
return {}
|
||
|
||
|
||
def main():
|
||
import argparse
|
||
from .cli_output import print_success, print_error
|
||
|
||
parser = argparse.ArgumentParser(description="Context Manager CLI")
|
||
parser.add_argument("--project-root", type=str, help="项目根目录")
|
||
parser.add_argument("--chapter", type=int, required=True)
|
||
parser.add_argument("--template", type=str, default=ContextManager.DEFAULT_TEMPLATE)
|
||
parser.add_argument("--no-snapshot", action="store_true")
|
||
parser.add_argument("--max-chars", type=int, default=8000)
|
||
|
||
args = parser.parse_args()
|
||
|
||
config = None
|
||
if args.project_root:
|
||
# 允许传入“工作区根目录”，统一解析到真正的 book project_root（必须包含 .noma/state.json）
|
||
from project_locator import resolve_project_root
|
||
from .config import DataModulesConfig
|
||
|
||
resolved_root = resolve_project_root(args.project_root)
|
||
config = DataModulesConfig.from_project_root(resolved_root)
|
||
|
||
manager = ContextManager(config)
|
||
try:
|
||
payload = manager.build_context(
|
||
chapter=args.chapter,
|
||
template=args.template,
|
||
use_snapshot=not args.no_snapshot,
|
||
save_snapshot=True,
|
||
max_chars=args.max_chars,
|
||
)
|
||
print_success(payload, message="context_built")
|
||
try:
|
||
manager.index_manager.log_tool_call("context_manager:build", True, chapter=args.chapter)
|
||
except Exception as exc:
|
||
logger.warning("failed to log successful tool call: %s", exc)
|
||
except Exception as exc:
|
||
print_error("CONTEXT_BUILD_FAILED", str(exc), suggestion="请检查项目结构与依赖文件")
|
||
try:
|
||
manager.index_manager.log_tool_call(
|
||
"context_manager:build", False, error_code="CONTEXT_BUILD_FAILED", error_message=str(exc), chapter=args.chapter
|
||
)
|
||
except Exception as log_exc:
|
||
logger.warning("failed to log failed tool call: %s", log_exc)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
import sys
|
||
if sys.platform == "win32":
|
||
enable_windows_utf8_stdio()
|
||
main()
|