Commit Graph

150 Commits

Author SHA1 Message Date
iomgaa cd0805aad6 chore: fix N806 lint - rename _RESAMPLE_VIDEO_INTERVAL to lowercase
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-14 06:11:01 -04:00
iomgaa 7c7ad67d81 fix(pipeline): move extra_gates after standard gate pass check
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-14 06:08:52 -04:00
iomgaa 36c712defa feat(pipeline): replace QuestionFamilySpec with TaskTypeStrategy
- SlotAssignment: remove family field, strategy looked up at process time
- PipelineConfig: remove family_ratios field
- _assign_slots: remove family_ratios and rng params (pure deterministic)
- _process_one_slot: use get_strategy() for sampling, generation, gates
- Add sub_pattern support (level/constraint override, instruction injection)
- Add strategy.extra_gates() check after standard gates
- load_pipeline_config: stop reading family_ratios from YAML
- Update tools/generate_questions.py seed override and dry-run log
- Update all integration tests to match new API

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-14 06:05:23 -04:00
iomgaa afa77173e3 refactor(question_gen): adapt generator/gates/store signatures for strategy
- generator_v2: _load_prompt_template takes template_name str instead of
  QuestionFamilySpec; _build_v2_prompt takes prompt_template + strategy_name
  + sub_pattern_instruction; generate_one_v2 takes discrete params
  (prompt_template, strategy_name, skill_target, sub_pattern_instruction)
- gates: _gate_leak_test and run_gates take leak_probe_template str
  instead of QuestionFamilySpec
- run_store: add sub_pattern column to DDL + idempotent migration;
  record_item accepts optional sub_pattern param
- Remove QuestionFamilySpec imports from generator_v2 and gates modules
- Update test call sites accordingly

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-14 05:50:47 -04:00
iomgaa c49d0ff12f fix(sampler): validate level param rejects invalid values
Add ValueError guard at the top of sample_material_v2 for level not in
{1, 2, 3}, preventing silent fallthrough to L1 sampling. Add unit test
for the new validation.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-14 05:43:28 -04:00
iomgaa e2325b6535 refactor(sampler): replace family_spec param with level+constraint
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-14 05:38:14 -04:00
iomgaa b6b6a48503 feat(question_gen): add TaskTypeStrategy Protocol and BaseTaskTypeStrategy
- TaskTypeStrategy Protocol: pipeline 的唯一接口,定义 task_type、
  sampling_level、sampling_constraint、prompt_template 等属性
- SubPattern frozen dataclass: 出题子模式,靶向特定失败机制
- BaseTaskTypeStrategy: 封装现有 QuestionFamilySpec 行为的默认策略,
  所有属性委托给绑定的 family
- _TASK_TYPE_TO_FAMILY: 消歧绑定表,12 个题型确定性绑定到 1 个 family
- register_strategy/get_strategy: 注册表 API,未注册题型自动创建
  BaseTaskTypeStrategy
- 13 个单元测试全部通过

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-14 05:24:29 -04:00
iomgaa 9ee37a8534 fix(loader): use video_id from JSON data instead of filename
load_benchmark used the JSON filename stem as video_id, which broke
v2-360 questions (all 180 questions got video_id='accepted_questions').
Now uses qa['video_id'] when present, falls back to filename for
Video-MME format compatibility.
2026-07-14 01:02:55 -04:00
iomgaa dec7346da3 feat(harness): add Action Recognition training experiment
- PerCategoryPoolStrategy: filter test pool by task_types
- RunConfig: add run_holdout_eval toggle (default true)
- load_config: fix YAML task_types list-to-tuple conversion
- Runner: conditionally skip _holdout_four_way when disabled
- CLI: add --no-run-holdout-eval flag
- New config/train_action_recognition.yaml (3 epochs, per_category)
- New scripts/train_action_recognition.sh (baseline + seed + train)
2026-07-14 00:58:54 -04:00
iomgaa 37d4519905 chore: lint and format per-category pool strategy implementation
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-12 22:58:10 -04:00
iomgaa c66a00c924 feat(harness): refactor build_or_load_pools to accept PoolStrategy + per_category freeze format
- save_pools: extended with split_mode and config params; per_category
  mode writes categories metadata (seed, train_ratio, test_source) for
  incremental append and consistency validation
- load_pools: compatible with both old format (no split_mode) and new
  format; extra metadata fields ignored during load
- build_or_load_pools: signature changed to (config, strategy, db_path);
  baseline_run_id read from seed.json (not config.run_id); per_category
  mode does consistency check on reload and supports incremental category
  append via strategy.build_incremental
- Added _to_pool_config, _read_baseline_run_id,
  _validate_per_category_consistency helpers
- Tests: TestPerCategorySaveLoad with 5 test cases covering roundtrip,
  missing config error, global split_mode field, legacy format compat,
  multi-type categories

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-12 22:53:19 -04:00
iomgaa e5b07ac974 feat(harness): add task_types, pool_split_mode, train_ratio, test_questions to RunConfig
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-12 22:46:28 -04:00
iomgaa 73ae1f7143 fix(harness): change _runs INSERT OR IGNORE to ON CONFLICT DO UPDATE for incremental infer
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-12 22:45:18 -04:00
iomgaa 21c6a53aed feat(harness): add PerCategoryPoolStrategy with correctness-stratified 2:1 split
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-12 22:41:48 -04:00
iomgaa cd5c9c01fb feat(app): add PoolStrategy Protocol to application ports 2026-07-12 22:34:47 -04:00
iomgaa 4fb7a61f8b fix(question_gen): resolve pipeline integration issues from final review
1. Apply postprocess shuffle result (pp.options, pp.answer) to final
   GeneratedQuestion output instead of using original candidate values.

2. Record dedup rejection in store via new mark_item_rejected() method,
   preventing items from staying as 'accepted' after dedup rejects them.

3. Add .flatten() to embed_fn outputs in _is_duplicate and embed_pool
   append to handle 2D (1,D) arrays from embedding implementations.

4. Validate exactly 4 options in _validate_parsed_fields (was >= 2),
   matching the A-D answer constraint.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-12 00:14:12 -04:00
iomgaa eecb86e27a feat(question_gen): add generate-v2 CLI subcommand and experiment script
- Add generate-v2 subparser with --config, --store-dir, --db-path,
  --seed, and --dry-run arguments to tools/generate_questions.py
- Implement _run_generate_v2 async handler: config loading, video
  discovery, DI client construction, TreeIndex loading, pipeline
  invocation, and result persistence
- Add scripts/generate_questions_v2.sh following build_trees.sh
  conventions (source .env, conda run python path, MODE=mock support)
- Update app/question_gen/__init__.py to export full v2 public API:
  run_pipeline_v2, PipelineConfig, PipelineResult, QuestionFamilySpec,
  ALL_FAMILIES, CandidateQuestion, generate_one_v2, GateReport, run_gates
- Add QuestionGenStore.load_progress() for pipeline resumption
- Add integration tests for CLI help and dry-run behavior
- Update test_question_gen_api to match expanded __all__

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-12 00:04:42 -04:00
iomgaa f46e87258c refactor(question_gen): extract helpers to reduce pipeline_v2 CC below grade C
Extract _get_git_sha, _filter_pending_slots, and _run_heavy_sampling
from run_pipeline_v2. Reduces cyclomatic complexity from C(15) to B(6).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:57:35 -04:00
iomgaa 206c553143 feat(question_gen): add v2 pipeline with retry loop and heavy check
- PipelineConfig: YAML-driven configuration with family_ratios, retry,
  concurrency, dedup threshold, and heavy sampling rate
- _assign_slots: deterministic round-robin slot assignment across videos
  with per-family weighted random selection
- _process_one_slot: full retry loop (generate → postprocess → gates →
  dedup) with reject-reason feedback to VLM on retry
- _heavy_check_one: blind LLM agent trial-answer for difficulty_steps
- run_pipeline_v2: orchestration with semaphore-bounded concurrency,
  progress/resume support, and store integration
- is_duplicate: cosine similarity dedup against embedding pool

Tests: 11 integration tests covering slot assignment, retry behavior,
max-retries exhaustion, full pipeline flow, progress resume, heavy
sampling, and store record completeness.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:55:15 -04:00
iomgaa 6d6eb8e3a3 refactor(question_gen): extract _validate_parsed_fields to reduce CC
Split field validation logic out of _parse_v2_response into a dedicated
_validate_parsed_fields helper. This brings _parse_v2_response from CC=11
(grade C) down to CC=3 (grade A). The extracted validator is CC=9 (grade B).
No grade-C functions remain.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:43:35 -04:00
iomgaa cf51d2de9d feat(question_gen): add v2 generator with per-family prompt templates
Implement generator_v2.py with:
- CandidateQuestion dataclass (canonical location)
- _load_prompt_template: loads per-family .md from store/prompts/
- _build_v2_prompt: constructs system+user messages with material context
- _parse_v2_response: JSON extraction, json_repair, field validation
- generate_one_v2: async VLM call orchestration with reject_reason support

Add 5 family-specific prompt templates:
- retrieval.md: factual recall from visible content
- reasoning.md: multi-hop inference across segments
- enumeration.md: counting/listing entities and actions
- visual.md: visual details requiring frame observation
- spatial.md: spatial relationships between objects/people

Tests: 11 unit tests covering prompt build, parse, and e2e generation.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:41:36 -04:00
iomgaa 9053233f99 fix(question_gen): gates reject_reason returns raw reason; short-circuit skips LLM
- GateReport.reject_reason now returns gate.reason directly (no [name] prefix)
- verbatim short-circuit sets other 3 gates to SKIP without calling LLM
- test_high_verbatim_shortcircuits asserts zero LLM calls and SKIP verdicts

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:33:57 -04:00
iomgaa 9f739e831d refactor(question_gen): reduce cyclomatic complexity in sampler_v2
Extract shared _resolve_subtree helper to eliminate repeated tri-level
node resolution. Break _validate_sampling_constraints into focused
single-purpose helpers:
- _count_l3_descendants
- _has_frames
- _count_subtitles
- _resolve_subtree / _find_l3_parent

Extract _subtitles_from_l2_list and _frames_from_l2_list to simplify
collection functions.

Complexity improvements:
- _validate_sampling_constraints: D(23) -> B(8)
- _collect_subtitle_sentences: C(16) -> A(3)
- _collect_frame_paths: C(13) -> A(2)

All functions now grade B or better per radon cc.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:33:48 -04:00
iomgaa f74711cd11 feat(question_gen): add v2 material sampler with family constraints
Implement sample_material_v2 module that samples tree nodes with
QuestionFamilySpec-aware constraint validation, providing richer
MaterialContext output (subtitles, cross-L2 context, frame paths).

Key components:
- AnchorContext/MaterialContext frozen dataclasses
- _validate_sampling_constraints: multi-level constraint checking
- _collect_subtitle_sentences: subtree subtitle extraction
- _collect_cross_l2_context: peer L2 event descriptions
- sample_material_v2: main entry with retry-on-constraint-violation

Tests: 11 unit tests covering normal sampling, used-node exclusion,
constraint violation retries, cross-L2 population, and subtitle
collection.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:30:56 -04:00
iomgaa 271d1682c9 feat(question_gen): add lightweight 4-gate quality check
Implement 4 concurrent LLM-based quality gates for generated questions:
- key_verify: validates answer evidence in source material
- blind_answer: rejects questions answerable without video context
- multi_true: detects ambiguous multi-correct options
- leak_test: per-family shortcut detection (5 probe templates)

Includes run_gates orchestrator with verbatim_ratio short-circuit,
JSON response parsing with fallback, and 9 unit tests (all passing).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:30:13 -04:00
iomgaa 9627ac9cf9 fix(question_gen): raise ValueError on UPDATE of missing rows
record_run_end, update_gates, and update_difficulty now check
cursor.rowcount after UPDATE+commit and raise ValueError if 0 rows
were affected. Prevents silent telemetry loss.

Adds three negative-path tests:
- test_record_run_end_missing_run_raises
- test_update_gates_missing_item_raises
- test_update_difficulty_missing_item_raises

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:23:48 -04:00
iomgaa 7abe92eb1c fix(question_gen): check_verbatim covers question_text + add missing blacklist patterns
- check_verbatim now computes n-gram overlap for BOTH question_text and
  correct_option vs source texts, returning max(question_ratio, option_ratio).
  Extracted _ngram_overlap_ratio helper for reuse.

- Added 4 missing blacklist patterns: 'this segment', 'this frame',
  'the current frame', 'frame summary'.

- Added 5 new test cases covering the above changes.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:23:37 -04:00
iomgaa 9525726133 fix(question_gen): rename finished_at to ended_at per schema spec
Aligns DDL column name with research-wiki/schemas/question-gen-runs.md
which specifies 'ended_at' (not 'finished_at').

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:18:52 -04:00
iomgaa 74686dde68 refactor(question_gen): reduce check_forbidden_material complexity to A(3)
Extract _match_any helper and declarative _FORBIDDEN_MATERIAL_RULES table
to replace repetitive per-category for-loops. Reduces cyclomatic complexity
from C(11) to A(3).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:16:34 -04:00
iomgaa 6a5424a618 feat(question_gen): add SQLite run store for generation telemetry
Implements QuestionGenStore with:
- Idempotent schema initialization (question_gen_runs + question_gen_items)
- Run lifecycle: record_run_start / record_run_end / get_run_stats
- Per-item recording: record_item / update_gates / update_difficulty
- GateReportLike Protocol for duck-type gate report compatibility
- WAL mode + foreign keys + check_same_thread=False

DDL aligns with research-wiki/schemas/question-gen-{runs,items}.md.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:15:53 -04:00
iomgaa c83d771923 feat(question_gen): add deterministic postprocess layer
Add app/question_gen/postprocess.py with zero-LLM deterministic
post-processing for generated questions:

- shuffle_options: deterministic option permutation with answer remapping
- check_referent_blacklist: detect self-referential language (this clip, etc.)
- check_verbatim: word-level n-gram overlap ratio measurement
- has_time_anchor: timestamp and temporal phrase detection
- check_forbidden_material: T1/T7 source material validation
- run_postprocess: orchestration returning PostprocessResult

Tests: 31 unit tests covering all functions.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:14:43 -04:00
iomgaa 75e6d8c550 feat(question_gen): add 5 question family specs with sampling constraints
Define QuestionFamilySpec, LeakTestProfile, SamplingConstraint dataclasses
and instantiate 5 families (RETRIEVAL/REASONING/ENUMERATION/VISUAL/SPATIAL)
targeting failure mechanisms M1-M5. Implement get_family_for_slot with
legal-type filtering + weighted random selection.

13 unit tests cover: full task-type coverage, skill_target uniqueness,
deterministic seeding, invalid input errors, and chi-square distribution.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:14:22 -04:00
iomgaa 811ffa648b feat(types): extend GeneratedQuestion with skill_target & difficulty_steps
- Add skill_target (str | None) and difficulty_steps (int | None) fields
  to GeneratedQuestion dataclass with field(default=None)
- Update loader.py to pass new fields from JSON (backward-compatible)
- Update pools.py _q_to_dict/_dict_to_q for serialization compat
- Add question_gen_v2 config section to default.yaml
- Add comprehensive test coverage (7 tests)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-11 23:05:38 -04:00
iomgaa e9073bfdc2 feat(tree): expose build_async and accept injected API semaphore
Core algorithms #1/#2/#3 unchanged: only entry wrapping and semaphore
source switch (injected vs self-built); build logic untouched.
- rename _build_async to public build_async (body unchanged)
- __init__ accepts keyword-only api_semaphore for cross-video sharing
- default path (no injection) is verbatim-equivalent to previous code
2026-07-11 11:14:45 -04:00
iomgaa ebbd112d50 fix(tree): move Iterable import into type-checking block 2026-07-11 09:05:04 -04:00
iomgaa f0284199b8 refactor(tree): narrow _clean_join parameter type to Iterable 2026-07-11 09:04:25 -04:00
iomgaa a2c6a97621 refactor(tree): extract _clean_join to keep entity-fields complexity at B
质量门要求新增代码复杂度不超过 B 级:将 node_entity_fields 中重复的
"清洗-去重-拼接"逻辑抽为模块级纯函数 _clean_join,主体收敛为两次
调用。radon:node_entity_fields C(13) → B(6),_clean_join A(5)。

算法 #11(树环境语义搜索)数据访问层,行为不变(既有 4 测试未改全绿)。
2026-07-11 08:56:17 -04:00
iomgaa 4e0e05210d feat(search): append raw entity fields after view_node summary
view_node 按题两轮摘要(summarize_node)会吞掉 entities/visible_text
字段信号,Agent 站在证据节点上仍漏读实体(benchmark 错题 M1,案例
786-2、872-3、750-1)。dispatcher 侧在摘要后确定性追加 [实体]/[画面
文字] 原文区块,LLM 无法吞掉。

- TreeEnvironment.node_entity_fields:按层级取 card 实体字段原文,
  去空白、去重、分号拼接;空字段省键;未知节点抛 KeyError
- _handle_view_node Phase 2.5:摘要后、子节点概览前追加实体区块
- 附带 ruff format 修正 test_tree_environment.py 两处既有格式

算法 #11(树环境语义搜索)数据访问层扩展,不改搜索算法本身。
2026-07-11 08:53:56 -04:00
iomgaa 307c64c388 fix(harness): infer mode honors CLI --questions over manifest 2026-07-11 07:45:33 -04:00
iomgaa 5b51f4bd0c fix(synthesizer): generate_one 捕获所有异常避免 VLM 超时穿透崩溃
except (ValueError, KeyError) → except Exception,
覆盖 StreamLivenessTimeout 等网络/超时异常。

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-10 01:08:03 -04:00
iomgaa a7ca6d15ed feat(harness): InferenceDepsRouter per-video 路由器
按 video_id 懒加载 InferenceDeps 并缓存,路由 dispatch/prompt_builder:
- create_dispatch: 按 session_id 路由到对应视频的工具调度
- create_prompt_builder: 自动注册 qid→vid 映射并路由 prompt 构建
- 三元组 (video_id, skills_dir, prompts_dir) 缓存键

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 12:20:32 -04:00
iomgaa f21bf345a6 feat(runner): 注入 tool_dispatch_factory/prompt_builder_factory + fail-fast
Runner.__init__ 新增 2 个可选参数:
- tool_dispatch_factory: 工具调度工厂
- prompt_builder_factory: prompt 构建工厂

infer/eval/train 模式缺少工厂时 fail-fast 抛 ValueError。
_make_tool_dispatch_fn/_make_prompt_builder 优先使用注入工厂。

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 12:20:25 -04:00
iomgaa 924160c779 feat(ports): 新增 ToolDispatchFactory/PromptBuilderFactory Protocol
4 个新 Protocol 类型:
- ToolDispatchFn: 工具调度函数签名
- ToolDispatchFactory: per-version 工具调度工厂
- PromptBuilderFn: Prompt 构建函数签名
- PromptBuilderFactory: per-version prompt 构建工厂

含 runtime_checkable isinstance 测试。

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 12:20:16 -04:00
iomgaa 16140cafcc fix(tree): from_dict L2 subtitle 旧格式兼容 fallback
旧格式 tree.json 无 card-level L2 subtitle 时,从已构造的 L3
children 聚合 subtitle,避免运行时加载静默丢失 L2 字幕。

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 12:04:36 -04:00
iomgaa d3be9b1322 refactor(tree): subtitle 迁入 L3Card/L2Card + 建树管线修正
- L3Card/L2Card 新增 subtitle: str 字段(L1Card 不加)
- L3Node 移除 subtitle 字段(数据迁入 Card)
- assign_subtitles_voronoi 改写 Card.subtitle + L2 聚合
- _collect_card_strings 增加 skip_fields 排除 subtitle
- _node_full_text/_node_anchored_text 保持 字幕:/[sN] 语义
- get_subtitle 读 Card.subtitle(L2/L3)
- verify.py/synthesizer.py: l3.subtitle → l3.card.subtitle
- 迁移脚本 tools/migrate_subtitle_to_card.py(幂等,300 棵树已迁移)
- 9→6 个测试文件适配(3 个无需改动)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 11:57:41 -04:00
iomgaa 45403b23b4 feat(repair): regenerator + supplement 防御修复 + 迁移脚本
- 新增 app/tree/repair/regenerator.py(VLM 重生成 + 级联修复)
- supplement.py: deduplicate_field str() 防御 + inject_value strip
- patch.py: ruff format 格式化
- repair_trees.sh: conda source 激活修复
- 新增 migrate_from_trm4.sh 迁移工具
- enhance/__init__.py → repair/__init__.py 重命名

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 07:53:59 -04:00
iomgaa f57ee45dc0 fix: Codex 全量审查修正
Critical:
- C1: assemble_mode 'plain' → 'ids'(合法枚举值)
- C2: question_id 加入 task_type slug 避免跨题型冲突

Important/Minor:
- generate_one 移除未用的 embed_fn/similarity_threshold 参数
- config.py 注释 11→12 同步
- 测试 question_id 断言更新

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 07:40:27 -04:00
iomgaa fad8147d71 refactor(question_gen): __init__.py 追加 synthesizer re-export
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 05:49:05 -04:00
iomgaa 6e46d184b8 feat(harness): add factory.py — InferenceDeps dataclass + build_inference_deps
组装一次推理所需的全套依赖的工厂函数:
- TreeIndex 加载(FileNotFoundError if missing)
- TreeEnvironment 构建
- SkillRegistry 按需发现
- SearchToolDispatcher 装配
- PromptManager + prompt_builder 闭包

测试覆盖:正常路径、缺失树文件、skills 注入、frozen 不可变性。

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 05:36:07 -04:00
iomgaa 5aa7cc48c5 feat(question_gen): is_duplicate + generate_one — 去重判定与单题生成编排
- is_duplicate: 余弦相似度去重,空池短路
- generate_one: 异步重试循环,不含去重(由调用方汇总点原子执行)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-07-09 05:32:39 -04:00