Closes#114, #115, #116, #117.
- Deterministic, offline, dependency-free char-ngram embedding backend + config
section (semantic.enabled default false, min_similarity, backend).
- Committed embedding index (data/kb_embedding_index.json) mapping vectors to real
KB entry ids only; built by scripts/build_embedding_index.py, loaded once/cached.
- Resolver falls back to the nearest entry on a deterministic miss when enabled,
accepting >= min_similarity and emitting SC0020; NSFW-gated neighbours are
skipped. Disabled => byte-identical to before.
- Guarantee tests: deterministic lookup always wins (exact hit never queries the
index), fallback emits only KB tags (no invention), identical input => identical
output. SC0020 registered.
Co-authored-by: kunail0804 <kunail0804@gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* feat!: collapse pipeline — Resolver emits a flat prompt, drop categories (v1.1)
BREAKING CHANGE: the Category Splitter and Prompt Builder stages and nodes are
removed. The Resolver is now the translator from Scene JSON to prompt: it resolves
concepts to Knowledge Base tags and joins them into one flat comma-separated
prompt string, in resolution order (which naturally leads with character concepts).
Resolver node outputs are now (prompt, warnings, errors, json) — the json being
the traceable resolved tags so a translation problem is inspectable. Node count
drops from 8 to 6. The CategoryMap/PromptOutput models and their schemas are
removed; the `category` field remains on entries and resolved tags for
traceability only. Debug Viewer simplified to scene/warnings/errors.
Goldens, example scenes/workflow, integration/performance/repo-layout/release
tests, benchmark script, and the docs (README + wiki) are updated to the flat
prompt. Version bumped to 1.1.0.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* build: drop removed splitter/builder packages from pyproject
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: kunail0804 <kunail0804@gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* fix: recover concept detail lost in resolver and harden analyzer parsing
Three shippability fixes for the v1 pipeline:
P2 (main): the Illustrious Resolver did exact-key KB lookup only, so any
compound concept the analyzer emits ("white summer dress", "black business
suit") missed and was dropped silently as SC0001. Add a deterministic
head-noun fallback (§17.2): on a miss, drop leading modifiers and look up the
longest remaining suffix ("white summer dress" -> "dress"). No tag/concept is
invented. Emits SC0019 (Concept Reduced) so the reduction is visible.
P1a: the analyzer required the entire model response to be a single JSON
document, so any surrounding prose ("Sure! Here is the scene:") failed parsing
and, with the prompt reused unchanged, every retry failed identically ->
empty output. Extract the first balanced top-level {...} object from
surrounding text (string-aware brace scan); the object bytes are unchanged and
must still validate, so this is unwrapping, not JSON repair.
P1b: the node's "raw" output was to_raw_json(result.data) -- a re-serialization
of the parsed Scene, so on failure it was empty and the model's actual text was
invisible. Capture the last raw model text in analyzer metadata and surface it
as the node's raw output.
Regenerated goldens: unknown_concepts "hologram jacket" now resolves to
"jacket" via head-noun fallback (intended).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat: add entry rating + resolver.include_nsfw gating
Foundations for the Danbooru-vocab KB: a per-entry `rating` (general|explicit,
default general) and a `resolver.include_nsfw` config flag (default false). The
resolver omits explicit-rated entries from lookup and expansion unless enabled,
so a gated concept is reported as unknown (SC0001). Schema, model, config, and
example config updated.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat: generate KB from embedded Danbooru vocab (188 -> 16.4k tags)
Replace the coverage ceiling of the 188-entry hand KB by importing a large,
validated Danbooru tag vocabulary. This is the fix for the core "detail loss"
symptom: compound concepts the analyzer emits ("red dress", "sunflower field",
"train station platform") are now real tags that resolve instead of being
dropped.
- scripts/build_vocab.py: one-time dev step that filters the Raffle node's
categorized tag dump (drops artist/character/copyright/attribution categories
and subjective adjectives, keeps only id-pattern-valid tags) into a committed,
self-contained snapshot at data/danbooru_vocab.txt (16.4k tags).
- scripts/generate_kb_from_vocab.py: additive, non-destructive generator. Writes
knowledge_base/gen_<category>.json, mapping the Raffle categories to the 19
canonical categories and tagging NSFW categories rating=explicit. Skips any tag
already defined as a hand-curated id/alias, so the curated canonicalization
(female + aliases) and expansions (school_uniform -> blazer, pleated_skirt) are
preserved and always win.
Result: 16.4k additive entries + 188 curated. Plain natural-language concepts
now resolve broadly via curated aliases + head-noun fallback with no analyzer
prompt change; NSFW gated behind resolver.include_nsfw; golden and dataset tests
stay green.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* style: ruff format build_vocab.py
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(security): drop untrusted CLI path in build_vocab (SonarCloud S8707)
The --source CLI argument fed an untrusted path to the file system (taint).
The script is a one-time dev step; hard-code the source path constant instead.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: kunail0804 <kunail0804@gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Add performance benchmarks for the non-Analyzer pipeline (MASTER_SPEC §26.6,
NFR-004) plus tests.
- scripts/benchmark.py: measures Knowledge Base load time, single-scene
resolution time, and full pipeline time (median over iterations) and records a
baseline to docs/benchmarks.md.
- docs/benchmarks.md: recorded baseline numbers (indicative, machine-dependent).
- tests/test_performance.py: a benchmark smoke test (functions run, all metrics
positive, a generous non-flaky bound), a check that the recorded baseline
exists, and two tests confirming the Knowledge Base is loaded once and reused
(the loader caches; the pipeline never reloads per compilation).
Co-authored-by: kunail0804 <kunail0804@gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Add golden tests for the ten reference scenes (MASTER_SPEC §26.7, §26.8),
guarding determinism across changes.
- tests/regression/golden_scenes.py: the ten reference scenes (single character,
two characters, interaction, indoor, outdoor, fantasy, modern, unknown
concepts, ambiguous concepts, complex multi-character) plus the shared no-LLM
pipeline runner.
- tests/regression/golden/*.json: the golden prompt outputs for each scene.
- scripts/regenerate_goldens.py: the deliberate, documented way to regenerate the
goldens when a change is intended to alter output (never automatic).
- tests/regression/test_golden.py: asserts exact equality against the goldens and
determinism across repeated runs.
- tests/regression/golden/README.md: documents regeneration and the regression
convention (every fixed bug adds a permanent test that is never removed).
Co-authored-by: kunail0804 <kunail0804@gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Implement whole-Knowledge-Base validation per MASTER_SPEC §15.10, §26.4:
compiler/common/kb_validation.py (importable by the loader) plus a CLI at
scripts/validate_knowledge_base.py.
validate_knowledge_base(entries) collects every problem (never stops at the
first); each Message carries a code, the offending id, and a description:
- duplicate canonical id -> SC0005
- invalid category -> SC0008 (drawn from the shared 19-category constant)
- circular expansion (incl. self-expansion) -> SC0003, via DFS cycle detection
- duplicate alias, alias colliding with a canonical id (no chains), missing
expansion target, and per-entry schema nonconformance (empty tags, unknown
fields, ...) -> umbrella SC0004
Findings are deterministically ordered.
The CLI loads every *.json (array of entries) from a directory, reports invalid
JSON / non-array files as SC0004, writes JSON findings to stdout, and exits
non-zero when invalid.
Tests: a passing fixture plus a fixture per failure mode, multi-problem
reporting, determinism, and the CLI on valid/invalid/broken-JSON inputs.
Co-authored-by: kunail0804 <kunail0804@gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Scaffold the Phase 0 foundation per MASTER_SPEC §24:
- Directory layout: nodes/, compiler/{analyzer,validator,resolver,splitter,
builder,common}/, knowledge_base/, schemas/, prompts/, config/,
tests/{analyzer,resolver,validator,integration,regression}/, examples/,
scripts/, docs/.
- pyproject.toml targeting Python 3.11+, jsonschema as the single runtime dep,
ruff + pytest as dev deps, explicit package list, and ruff/pytest config.
- ruff for linting and formatting; pytest with repo root on pythonpath.
- GitHub Actions CI running install, ruff lint, ruff format check, and pytest
on Python 3.11 and 3.12 for pushes and pull requests.
- docs/ skeleton and CONTRIBUTING.md referencing the wiki.
- Layout test asserting the §24 structure and package importability.
Co-authored-by: kunail0804 <kunail0804@gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
