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Decode STINIT map and object placement data

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gamer147
2026-07-23 00:22:03 -04:00
parent 86a7cb1750
commit 3fb3d3cfd8
9 changed files with 328 additions and 31 deletions
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docs/tools-reference.md
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@@ -55,7 +55,7 @@ All opcode knowledge (ABI, semantics, provenance, `depends_on`) is hand-edited *
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| `extract_phase2.py` | Batch: disassembly + text corpora for every script. | `extract_phase2.py` | corpus → `build/disasm/*.asm`, `build/text/{dialogue.jsonl,strings.jsonl,*.strings.txt}`, `build/manifest.json` |
| `extract_message_table.py` | Discover a repeated global-id dispatch chain such as ITMES/SKMES, reconstruct player-facing title/description lines (including furigana surface text and readings), and emit an ID-keyed message table with bytecode provenance. | `extract_message_table.py <MES> [OUTNAME]` | `<MES>.BIN` → `build/data/<OUTNAME>.json` |
| `extract_init.py` | Parse a `*INIT` data table (auto-detects name / numeric / footer / mixed shape). Name tables infer their reserved record span, preserve sparse one-based runtime ids, distinguish lookup bases from first written cells, statically evaluate direct and negative-value writes, and separate parallel `fields` from linked row-major `record_fields`. Mixed tables recover selector-dispatched records, condition strings, scalars, preallocated buffer cells, consumer-confirmed strides, and length-prefixed footer arrays; STINIT is the first such table. ITINIT and SKINIT join ITMES/SKMES messages; top-level `field_semantics` maps raw keys to canonical global/column names. Refreshes the generated data index. | `extract_init.py <TABLE> [OUTNAME] [--mode …]` | `<TABLE>.BIN` plus matching `<MES>.BIN` when supported + `build/globals.json` → `build/data/<OUTNAME>.json`, `build/data/README.md` |
| `extract_init.py` | Parse a `*INIT` data table (auto-detects name / numeric / footer / mixed shape). Name tables infer their reserved record span, preserve sparse one-based runtime ids, distinguish lookup bases from first written cells, statically evaluate direct and negative-value writes, and separate parallel `fields` from linked row-major `record_fields`. Mixed tables recover selector-dispatched records, condition strings, scalars, preallocated buffer cells, consumer-confirmed strides, and length-prefixed footer arrays; STINIT additionally assembles confirmed buffers into `object_placements`. ITINIT and SKINIT join ITMES/SKMES messages. Top-level `field_semantics` maps raw keys to canonical global/column names, while each record's `semantic_fields` is the generated name-keyed join; raw keys remain provenance. OUTNAME accepts a stem or one `.json` suffix and rejects paths. Refreshes the generated data index. | `extract_init.py <TABLE> [OUTNAME] [--mode …]` | `<TABLE>.BIN` plus matching `<MES>.BIN` when supported + `build/globals.json` → `build/data/<OUTNAME>.json`, `build/data/README.md` |
| `init_table_profile.py` | Build the static investigation surface for an extracted name/numeric/mixed table: message coverage, per-scalar/string/array-cell/footer-array population and value distributions, representative records, and direct opcode/script consumers. `--message-query REGEX` shows every matching name/message beside all populated fields for semantic correlation. Findings are evidence only; confirmed meanings go in `vm-map/globals.toml`. | `init_table_profile.py <TABLE> [--build] [--limit N] [--message-query REGEX]` | `build/data/<TABLE>.json` + corpus → stdout; with `--build`, `build/data/<TABLE>-field-profile.{json,md}` |
| `test_extract_init.py`, `test_init_table_profile.py` | Regression checks for sparse one-based and mixed selector-dispatched INIT extraction, MES reconstruction/joins, footer-array accounting, and field/message profiling. | run each directly | — |
| `global_map.py` | Build the partial global-variable name map from static evidence. | `global_map.py` | corpus + `build/data/` → `build/global-var-map.{json,md}` |