diff --git a/TESTING.md b/TESTING.md index 2b29c97..0ea8452 100644 --- a/TESTING.md +++ b/TESTING.md @@ -392,7 +392,8 @@ with source `zeroed-conditioning`. `easy ifElse` with a literal boolean follows branch only; with a linked boolean both branches are traced, equal texts resolve and different texts make the sampler `ambiguous` with one candidate per choice (at most 32, else `work-limit`). ConditioningCombine/Concat/Average resolve only when every -part has the same text, otherwise `unresolved` with `composite` naming the node. +part has the same text, otherwise `unresolved` with `composite` naming the node +(but see the added-conditioning floor below for a later stage). Results that depend on a forced choice are never memoized. A `FaceDetailer` (`detailer-stage`) is a sampler stage: the samplers reached through its `image` ancestry are compared with it. Equal texts resolve with the detailer as the sampler; @@ -403,9 +404,65 @@ A sampler's latent ancestry is walked through every link input of non-sampler nodes within the same visit and depth budgets: with no earlier sampler it is a single stage whatever the origin (VAEEncode, EmptyLatentBatch, EmptyFlux2LatentImage, EmptyHunyuanLatentVideo, SetLatentNoiseMask, InpaintModelConditioning or -WanImageToVideo slot 2). An earlier sampler (img2img from a decode, hires fix) stays -`unresolved` "Multistage sampler ancestry is ambiguous" until stage texts are -compared; an unlisted node with sampler-shaped inputs (positive, negative, guider, +WanImageToVideo slot 2). Pass-through lineage (#304 follow-up, maintainer option B, +2026-10-23): the table's `lineage` section lists the outputs whose image or latent +continues one input's (`VAEDecode`/`VAEDecodeTiled` `samples`, `VAEEncode`/ +`VAEEncodeTiled` `pixels`, `ImageUpscaleWithModel`, `ImageScale`, `ImageScaleBy`, +`ImageScaleToTotalPixels` `image`, `LatentUpscale`/`LatentUpscaleBy` `samples`, +cg-image-filter `Image Filter` slot 0 `images` and slot 1 `latents`; a selection of +the same batch), plus Reroutes. Lineage describes no prompt, so its classes are not +claimed by a prompt category. When the latent walk finds exactly one earlier sampler +and the latent descends from that sampler's output slot 0 only through lineage +nodes (a hires-fix or refiner chain, img2img from an in-graph decode, a direct +latent link), the two stages are compared like a detailer and its upstream stage: +equal role texts resolve with the later sampler named, different texts are +`ambiguous` `multistage-differs` with one candidate per stage, and an unreadable +earlier stage makes the chain `unresolved` with that stage's reason. Unanchored, the +earlier sampler is judged inside the chain when its output reaches no other file +output. A size or resolution node reading the same image beside the lineage (a +`ResolutionCalculator` feeding `ImageScale` width and height) is allowed, since the +walk then still finds only that sampler. Any other earlier sampler, or one reached +only through an unlisted image node, stays `unresolved` "Multistage sampler ancestry +is ambiguous". Added-conditioning floor: a later stage whose own positive fails only +as `composite` keeps its earlier stages' shared pair ("A later stage adds +conditioning to the base prompt", naming the earlier stage's sampler) when that +positive reaches, through Reroutes and conditioning pass-throughs, a composite the +table marks `additive` (ConditioningCombine, ConditioningConcat; never +ConditioningAverage, which can weight a part away), one of its parts is exactly the +earlier stages' positive text, and its negative text equals theirs. This is the +three-stage Flux run whose UltimateSDUpscale combines the PromptManager prompt with +a style-trigger encoder: legacy linked the PromptManager text and every stage is +conditioned on it. The positive is always labelled (maintainer ruling): its source is +`added-conditioning` (D126; with a D125 omission too, +`runtime-parts-omitted-and-added-conditioning`) and its provenance names the +composite (`added_by`), whatever the added text is; no length heuristic. A combine without the base text, a different negative, or +different earlier stages stay as they were (`composite` or `multistage-differs`). +An image-edit batch (several samplers with distinct prompts, one shared saver +prefix) stays `ambiguous`, and text generated at run time stays untraceable +(`tests/test_resolver_pass_through.py` on synthetic shapes from +`tests/passthrough_graphs.py`; the browser port is compared on the named +`select-*` chain cases and `passthrough_fuzz_cases`). Ingestion keeps the default +profile's historical latent rule (D1), so the admin scan still reaches these files +through its legacy-parser fallback. Run-time PromptManager parts (maintainer option +A, 2026-10-23): LoraManager's `TriggerWord Toggle` is a `runtime` class (its output is +the LoRA's trigger words as filtered at run time). A PromptManager (or +PromptManagerPair) `prepend_text` or `append_text` linked directly to a `runtime` +node is left out: the text is the node's own, combined with any other literal or +traced part exactly as before, the side's source is `runtime-parts-omitted`, and a +resolved pair's reason is "Text added at run time, such as trigger words, is not +included". The prompt block shows that line under the text (D125; the evidence +badge stays "Workflow inferred"). The label follows the text through encoders, +concatenations and chained PromptManagers: a side is labelled when any node on its +traced path left a part out, and its provenance lists those PromptManager nodes +(`omitted_parts`). Comparisons include what a text leaves out, so a prompt that left +out a part never equals a complete one (a branch with the toggle and one without stay +ambiguous; such stages are `multistage-differs`). Only classes in the table's +`runtime` list are left out, never another `runtime-value` source (a JoinStringMulti +with a linked list flag stays `runtime-value`). The toggle's output is never computed. A run-time node further upstream (inside a +concatenation), a run-time main `text`, or an unknown feeder keep their outcome +(`runtime-value` or `unsupported-node`). This is what legacy linked for the June +hires-fix runs (`TestRunTimePromptManagerParts`, the `select-runtime-*` parity +cases); an unlisted node with sampler-shaped inputs (positive, negative, guider, latent_image, a pipe, video embeds, custom-sampler parts, or a `model` link together with conditioning, neg_conditioning, samples or latent) is `unsupported-node` naming it, here and in a detailer's image ancestry; a latent that is not a link or @@ -1899,7 +1956,7 @@ the connection's `total_changes` is 0 at close and the data reads back unchanged `-shm` bytes are not compared: every WAL reader rewrites its read marks there, so no reader can keep it byte-identical (`test_health_check_never_writes`). -Recorded deviations (plan D60–D65 renumbered D92–D97; D121, D122, D123 and D124 assigned): +Recorded deviations (plan D60–D65 renumbered D92–D97; D121, D122, D123, D124, D125 and D126 assigned): - **D92** (shell): no "Sample configuration" chip. The Save status is truthful: "No unsaved changes.", "Unsaved changes.", "Saved in this browser." / "Saved to the server @@ -1971,6 +2028,21 @@ Recorded deviations (plan D60–D65 renumbered D92–D97; D121, D122, D123 and D button instead of reading the file. The concept has no such state, so no concept comparison renders it: `metadata off shows an explicit load and loads once on request` (workspace-system.spec) pins it instead. +- **D125** (prompt blocks, maintainer option A): a resolved prompt whose source is + `runtime-parts-omitted` (a PromptManager `prepend_text` or `append_text` fed directly + by a listed run-time node, such as LoraManager's TriggerWord Toggle, was left out) + shows the muted line "Text added at run time, such as trigger words, is not + included." under its text. The evidence badge stays "Workflow inferred"; the line is + never sent or copied. The concept has no such state (`a prompt that left out run-time + trigger words says so under its text (D125)` in `tests/js/prompt-blocks.test.js`). +- **D126** (prompt blocks, maintainer ruling on the added-conditioning floor): a + resolved positive whose source is `added-conditioning` (a later stage combined more + conditioning with the base prompt, as UltimateSDUpscale's ConditioningCombine of the + PromptManager and a style trigger) shows "Conditioning added at a later stage is not + included." the same way. A prompt with both shows both lines, D125 first (source + `runtime-parts-omitted-and-added-conditioning`). Always labelled, with no length or + "short trigger" heuristic (`a prompt a later stage added conditioning to says so, and + both lines show together (D126)`). Appearance scope and states. The Default layout and Thumbnail size defaults start the Images page only (a new visit, not the current view or a saved view); the embedded @@ -2072,8 +2144,24 @@ and skip the parse. integers past 2**53 as their exact digits, so the card and the inspector read the same digits. The parse runs after the file handle closes. A record over 2 MiB (UTF-8), a parser error, a recursion error, a placeholder, or a - non-integral, boolean or non-finite seed gives null. A card never shows a seed - that differs from the inspector's + non-integral, boolean or non-finite seed gives null. When the prompt graph's + sampler stages read different seed inputs and the inspector's resolution names + one sampler for a resolved pair (a detailer or pass-through chain, whose facts + are the named stage's, D19), the card compares that stage's seed (read by the + same parser, the other samplers hidden from it) with its own and shows no seed + only when they differ. A seed that agrees, or one the named stage does not make + known, is kept, as on main (a saved sampler beside a preview-only one keeps its + seed; an ambiguous chain, whose facts merge and fill from the parser, keeps it). + Only such graphs are resolved for the card, with `INSPECTION_PROFILE` + (`test_a_chain_the_inspector_names_one_stage_of_shows_no_differing_seed`, + `test_a_seed_that_agrees_with_the_named_stage_is_kept`, + `test_a_named_ambiguous_chain_keeps_the_parser_seed`; a literal named seed needs no + second parse, and stages sharing one linked seed skip the check. Measured on a + 200-card page of about 54 KB graphs, half multi-stage with per-stage seeds: 618 ms + cold against main's 387 ms, about 1.2 ms more per such card, paid once per file + through the header-facts cache below; + before this rule a KSampler then FaceDetailer chain with two seeds broke the + contract below). A card never shows a seed that differs from the inspector's (`test_card_seed_equals_inspector_seed_when_both_present`, which `JSON.parse`s the listing in Node and compares `String(seed)` with the inspector's seed, including one past 2**53). The card shows no seed for A1111 `parameters` files diff --git a/tests/fixtures/inspection_parity/vectors.json b/tests/fixtures/inspection_parity/vectors.json index 6f32f6c..218204f 100644 --- a/tests/fixtures/inspection_parity/vectors.json +++ b/tests/fixtures/inspection_parity/vectors.json @@ -594,12 +594,12 @@ "anchor": null, "expect": { "metadata_status": "available", - "state": "ambiguous", - "reason": "Multiple sampler branches", + "state": "resolved", + "reason": "", "reason_code": null, "selection": null, - "positive": null, - "negative": null, + "positive": "a red fox in snow, detailed fur", + "negative": "blurry, lowres", "candidate_count": 0, "facts": { "seed": { diff --git a/tests/fixtures/local-inspect/resolver-vectors.json b/tests/fixtures/local-inspect/resolver-vectors.json index 55e7a71..7edcb92 100644 --- a/tests/fixtures/local-inspect/resolver-vectors.json +++ b/tests/fixtures/local-inspect/resolver-vectors.json @@ -1 +1 @@ -{"vectors": [{"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "encode", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Positive prompt is empty.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Positive prompt is empty", "reason_code": null, "sampler_id": "3", "state": "unresolved"}}, "name": "empty-positive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \" …\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": ""}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "feff-positive", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "no-negative", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": null, \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": null, "status": "absent", "text": null}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "Negative input is absent", "reason_code": null, "sampler_id": "3", "state": "absent"}}, "name": "negative-missing-input", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "float-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0.0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Expected a typed graph link or text input", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "bool-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", true], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a fox"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "int-id", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [6, 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Missing or malformed graph node", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "dangling", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"60\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt uses a node the inspector does not support (CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt uses a node the inspector does not support (CLIPTextEncode).", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": {"class_type": "CLIPTextEncode", "id": "6"}, "reason": "Unsupported node semantics or output slot", "reason_code": "unsupported-node", "sampler_id": "3", "state": "unresolved"}}, "name": "wrong-slot", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 3], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Cyclic prompt graph", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "cycle", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"8\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}, "positive": {"message": "Prompt metadata in this file is malformed.", "source": null, "status": "unresolved", "text": null}}, "resolution": {"node": null, "reason": "Reroute input is not uniquely identifiable", "reason_code": "malformed", "sampler_id": "3", "state": "unresolved"}}, "name": "reroute-ambiguous", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"8\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"8\": {\"class_type\": \"Reroute\", \"inputs\": {\"value\": [\"6\", 0], \"in\": [\"6\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "last wins"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "3", "state": "resolved"}}, "name": "duplicate-key", "records": {"prompt": "{\"3\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 1, \"model\": [\"4\", 0], \"positive\": [\"6\", 0], \"negative\": [\"7\", 0], \"latent_image\": [\"5\", 0]}}, \"4\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"5\": {\"class_type\": \"EmptyLatentImage\", \"inputs\": {\"width\": 64}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a fox\", \"clip\": [\"4\", 1]}}, \"7\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry\", \"clip\": [\"4\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"last wins\", \"clip\": [\"4\", 1]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry"}, "positive": 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{\"conditioning_to\": [\"2\", 0], \"conditioning_from\": [\"6\", 0]}}, \"13\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"10\", 0]}}, \"14\": {\"class_type\": \"UltimateSDUpscale\", \"inputs\": {\"image\": [\"13\", 0], \"model\": [\"1\", 0], \"positive\": [\"12\", 0], \"negative\": [\"3\", 0]}}, \"15\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"14\", 0]}}, \"16\": {\"class_type\": \"ConditioningCombine\", \"inputs\": {\"conditioning_1\": [\"2\", 0], \"conditioning_2\": [\"6\", 0]}}, \"17\": {\"class_type\": \"MysteryImageEffect\", \"inputs\": {\"image\": [\"14\", 0]}}, \"18\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"16\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"17\", 0]}}, \"19\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"18\", 0]}}}"}}, {"evidence": {"prompts": {"negative": {"source": "graph-inferred", "status": "resolved", "text": "blurry, lowres"}, "positive": {"source": "graph-inferred", "status": "resolved", "text": "a lighthouse on a cliff, golden hour"}}, "resolution": {"node": null, "reason": "", "reason_code": null, "sampler_id": "11", "state": "resolved"}}, "name": "select-passthrough-fuzz-0-39", "records": {"prompt": "{\"1\": {\"class_type\": \"CheckpointLoaderSimple\", \"inputs\": {\"ckpt_name\": \"m\"}}, \"2\": {\"class_type\": \"PromptManager\", \"inputs\": {\"text\": \"a lighthouse on a cliff, golden hour\", \"category\": \"\", \"tags\": \"\", \"search_text\": \"\", \"prepend_text\": \"\", \"append_text\": \"\", \"clip\": [\"1\", 1]}}, \"3\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"blurry, lowres\", \"clip\": [\"1\", 1]}}, \"4\": {\"class_type\": \"EmptyLatentBatch\", \"inputs\": {\"batch_size\": 2}}, \"5\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"film grain, analog photo\", \"clip\": [\"1\", 1]}}, \"6\": {\"class_type\": \"CLIPTextEncode\", \"inputs\": {\"text\": \"a red bicycle in the rain\", \"clip\": [\"1\", 1]}}, \"10\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"4\", 0]}}, \"11\": {\"class_type\": \"KSampler\", \"inputs\": {\"seed\": 7, \"steps\": 20, \"cfg\": 7.0, \"sampler_name\": \"euler\", \"scheduler\": \"normal\", \"denoise\": 1.0, \"model\": [\"1\", 0], \"positive\": [\"2\", 0], \"negative\": [\"3\", 0], \"latent_image\": [\"10\", 0]}}, \"12\": {\"class_type\": \"SaveImage\", \"inputs\": {\"images\": [\"11\", 0]}}}"}}], "version": 2} diff --git a/tests/js/prompt-blocks.test.js b/tests/js/prompt-blocks.test.js index c90a492..ca96fe8 100644 --- a/tests/js/prompt-blocks.test.js +++ b/tests/js/prompt-blocks.test.js @@ -82,6 +82,32 @@ test('a zeroed conditioning negative shows as an explicit empty negative without }finally{scope.dispose();f.restore();} }); +test('a prompt that left out run-time trigger words says so under its text (D125)',()=>{ + const f=dom(),scope=createScope(),container=new f.Element('div'),sent=[]; + const note='Text added at run time, such as trigger words, is not included.'; + try{ + module.mountPromptBlocks(container,{parentScope:scope,sender:{open:roles=>sent.push(roles)},prompts:{positive:{status:'resolved',text:'own text',source:'runtime-parts-omitted'},negative:{status:'resolved',text:'blur',source:'graph-inferred'}}}); + const notes=f.walk(container,node=>node.textContent===note); + assert.equal(notes.length,1,'one note, under the positive only'); + assert.equal(notes[0].parent.attributes['aria-label'],'Positive prompt'); + container.click(f.walk(container,node=>node.dataset.sendRole==='pair')[0]); + assert.deepEqual(sent,[{positive:'own text',negative:'blur'}],'the note is never sent'); + }finally{scope.dispose();f.restore();} +}); + +test('a prompt a later stage added conditioning to says so, and both lines show together (D126)',()=>{ + const f=dom(),scope=createScope(),container=new f.Element('div'); + const added='Conditioning added at a later stage is not included.', runtime='Text added at run time, such as trigger words, is not included.'; + try{ + const view=module.mountPromptBlocks(container,{parentScope:scope,prompts:{positive:{status:'resolved',text:'base',source:'added-conditioning'}}}); + assert.deepEqual(f.walk(container,node=>node.className==='small muted').map(node=>node.textContent),[added]); + view.update({positive:{status:'resolved',text:'base',source:'runtime-parts-omitted-and-added-conditioning'}}); + assert.deepEqual(f.walk(container,node=>node.className==='small muted').map(node=>node.textContent),[runtime,added]); + view.update({positive:{status:'resolved',text:'base',source:'graph-inferred'}}); + assert.equal(f.walk(container,node=>node.className==='small muted').length,0); + }finally{scope.dispose();f.restore();} +}); + const unresolved=message=>({status:'unresolved',text:null,source:null,...(message===undefined?{}:{message})}); const statusLines=(f,container)=>f.walk(container,node=>node.tagName==='p'&&node.className==='prompt-text muted').map(node=>node.textContent); test('unsupported node status names the class',()=>{ diff --git a/tests/js/workspace-local-resolver.test.js b/tests/js/workspace-local-resolver.test.js index cc9e160..dc092ca 100644 --- a/tests/js/workspace-local-resolver.test.js +++ b/tests/js/workspace-local-resolver.test.js @@ -136,6 +136,17 @@ test('an unusable semantics table is refused', () => { for (const doc of [null, {schema: 2}, {schema: 1, samplers: []}]) assert.throws(() => resolver.compileSemantics(doc), resolver.SemanticsError); }); +test('the lineage section is compiled, and a bad one refuses the table', () => { + const doc = JSON.parse(fs.readFileSync(new URL('../../web/js/inspection-semantics.json', import.meta.url), 'utf8')); + assert.deepEqual(semantics.lineage.get('Image Filter\u00001'), { strategy: 'continue', input: 'latents' }); + // Lineage describes no prompt: its classes are not table classes for the stage walk. + assert.equal(semantics.allClasses.has('VAEEncode'), false); + const row = { class: 'VAEEncode', slot: 0, strategy: 'continue', input: 'pixels' }; + for (const lineage of [undefined, {}, [null], [{ ...row, slot: -1 }], [{ ...row, strategy: 'passthrough' }], [{ ...row, input: '' }], [row, row]]) { + assert.throws(() => resolver.compileSemantics({ ...doc, lineage }), resolver.SemanticsError, JSON.stringify(lineage)); + } +}); + // The committed server answers (tests/fixtures/local-inspect/resolver-vectors.json, written by // `python3 -m tests.local_resolver_cases --write` and checked current by the Python suite). test('committed server answers equal the local evidence', () => { diff --git a/tests/local_resolver_cases.py b/tests/local_resolver_cases.py index 3880ef4..0ccfdd3 100644 --- a/tests/local_resolver_cases.py +++ b/tests/local_resolver_cases.py @@ -29,6 +29,7 @@ VECTORS_PATH = ( # Committed record sets stay small; the large bound cases are built at test time. MAX_VECTOR_CHARS = 20_000 COMMITTED_FUZZ = (0, 60) +COMMITTED_PASSTHROUGH = (0, 40) SPACES = ["", " ", "\t", "\n", "\x1c", "\x85", "　", "", "
 "] WORDS = ["fox", "snow", "café", "猫", "\U0001f600", "a,", "detailed fur", ""] @@ -1380,6 +1381,7 @@ def committed_vectors(): } cases.update(fuzz_cases(*COMMITTED_FUZZ)) cases.update(selection.selection_fuzz_cases(*COMMITTED_FUZZ)) + cases.update(selection.passthrough_fuzz_cases(*COMMITTED_PASSTHROUGH)) vectors = [ { "name": name, diff --git a/tests/local_resolver_selection_cases.py b/tests/local_resolver_selection_cases.py index 9591e97..3e80091 100644 --- a/tests/local_resolver_selection_cases.py +++ b/tests/local_resolver_selection_cases.py @@ -12,8 +12,10 @@ import json import random try: + from tests import passthrough_graphs as shapes from tests.local_resolver_cases import EXECUTION_KEY, SPACES, WORDS, _Builder except ImportError: # pragma: no cover - discover -s tests puts tests/ first + import passthrough_graphs as shapes from local_resolver_cases import EXECUTION_KEY, SPACES, WORDS, _Builder @@ -437,10 +439,213 @@ def _parameters(): return cases +def _passthrough(): + """Chains joined through lineage nodes, and the floor for added conditioning.""" + cases = { + "hires-fix": shapes.hires_fix(), + "hires-fix-differs": shapes.hires_fix(second_positive=shapes.OTHER), + "hires-fix-unlisted": shapes.hires_fix(filter_class="MysteryImageEffect"), + "hires-fix-generated": shapes.generated_text_chain(), + "flux-three-stage": shapes.flux_three_stage(), + "flux-concat": shapes.flux_three_stage(composite="ConditioningConcat"), + "flux-average": shapes.flux_three_stage(composite="ConditioningAverage"), + "edit-batch": shapes.edit_batch(3), + } + graph = shapes.flux_three_stage(combined=(("37", 0), ("31", 0))) + graph["37"] = shapes.encode(shapes.OTHER) + cases["flux-without-base"] = graph + graph = shapes.flux_three_stage() + graph["38"] = shapes.encode("watermark") + graph["60"]["inputs"]["negative"] = ["38", 0] + cases["flux-other-negative"] = graph + graph = shapes.hires_fix() + graph["20"]["inputs"]["latent_image"] = ["10", 0] + graph["10"]["inputs"]["latent_image"] = ["20", 0] + cases["hires-fix-cycle"] = graph + graph = shapes.hires_fix() + graph["17"]["inputs"]["pixels"] = ["18", 0] + graph["18"] = {"class_type": "Reroute", "inputs": {"value": ["16", 0]}} + cases["hires-fix-reroute"] = graph + graph = shapes.hires_fix() + graph["24"] = {"class_type": "SaveImage", "inputs": {"images": ["11", 0]}} + cases["hires-fix-both-saved"] = graph + graph = shapes.hires_fix() + graph["20"]["inputs"]["latent_image"] = ["99", 0] + cases["hires-fix-missing-latent"] = graph + graph = shapes.flux_three_stage() + graph["38"] = {"class_type": "MysteryNegative", "inputs": {"seed": 1}} + graph["60"]["inputs"]["negative"] = ["38", 0] + cases["flux-negative-unsupported"] = graph + graph = shapes.flux_three_stage() + graph["39"] = {"class_type": "Reroute", "inputs": {"input": ["35", 0]}} + graph["60"]["inputs"]["positive"] = ["39", 0] + cases["flux-reroute-input"] = graph + graph = shapes.flux_three_stage() + graph["39"] = { + "class_type": "CLIPTextEncodeSDXL", + "inputs": {"text_g": shapes.POSITIVE, "text_l": shapes.STYLE}, + } + graph["60"]["inputs"]["positive"] = ["39", 0] + cases["flux-encoder-parts"] = graph + cases.update(_passthrough_edges()) + cases.update(_runtime_parts()) + return cases + + +def _runtime_parts(): + """Option A: a PromptManager part fed by a run-time node is left out.""" + cases = {"trigger-prepend": shapes.hires_fix_with_trigger_words()} + graph = shapes.hires_fix_with_trigger_words() + graph["2"]["inputs"].update(prepend_text="masterpiece", append_text=["8", 0]) + graph["20"]["inputs"]["latent_image"] = ["4", 0] + cases["trigger-append-single"] = graph + graph = shapes.hires_fix_with_trigger_words() + graph["8"] = {"class_type": "PrimitiveString", "inputs": {"value": "trig9word"}} + cases["traced-prepend"] = graph + graph = shapes.hires_fix_with_trigger_words() + graph["8"]["class_type"] = "MysteryWords" + cases["unknown-prepend"] = graph + graph = shapes.hires_fix_with_trigger_words() + graph["9"] = { + "class_type": "StringConcatenate", + "inputs": {"string_a": "kept", "string_b": ["8", 0], "delimiter": ""}, + } + graph["2"]["inputs"]["prepend_text"] = ["9", 0] + cases["indirect-prepend"] = graph + graph = shapes.hires_fix_with_trigger_words() + graph["2"]["inputs"].update(prepend_text="", text=["8", 0]) + cases["runtime-main-text"] = graph + graph = shapes.hires_fix_with_trigger_words() + graph["2"]["class_type"] = "PromptManagerPair" + graph["2"]["inputs"]["negative_text"] = shapes.NEGATIVE + graph["10"]["inputs"]["negative"] = ["2", 1] + graph["20"]["inputs"]["negative"] = ["2", 1] + cases["trigger-pair"] = graph + graph = shapes.hires_fix_with_trigger_words() + graph["30"] = {"class_type": "PromptSearchList", "inputs": {"search": "x"}} + graph["2"]["inputs"]["append_text"] = ["30", 0] + cases["search-list-append"] = graph + for shape in ("text-encode", "chained", "concat"): + cases[f"through-{shape}"] = shapes.trigger_words_through(shape) + cases["branches-with-and-without"] = ( + shapes.branches_with_and_without_trigger_words() + ) + graph = shapes.hires_fix_with_trigger_words() + graph["9"] = shapes.prompt_manager(shapes.POSITIVE) + graph["20"]["inputs"]["positive"] = ["9", 0] + cases["stage-with-and-without"] = graph + graph = shapes.hires_fix() + graph["9"] = { + "class_type": "JoinStringMulti", + "inputs": { + "inputcount": 2, + "delimiter": " ", + "return_list": ["98", 0], + "string_1": "static words", + "string_2": "more", + }, + } + graph["98"] = {"class_type": "PrimitiveBoolean", "inputs": {"value": False}} + graph["2"]["inputs"]["prepend_text"] = ["9", 0] + cases["join-multi-flag"] = graph + graph = shapes.flux_three_stage() + graph["31"] = shapes.encode(shapes.OTHER) + cases["flux-other-full-prompt"] = graph + graph = shapes.flux_three_stage() + graph["7"] = { + "class_type": "Lora Loader (LoraManager)", + "inputs": {"model": ["1", 0], "clip": ["2", 0], "text": "x"}, + } + graph["8"] = shapes.trigger_toggle() + graph["30"]["inputs"]["prepend_text"] = ["8", 0] + cases["flux-trigger"] = graph + graph = shapes.flux_three_stage() + graph["60"] = { + "class_type": "SamplerCustomAdvanced", + "inputs": {"guider": ["63", 0], "latent_image": ["66", 0]}, + } + graph["63"] = { + "class_type": "CFGGuider", + "inputs": {"positive": ["35", 0], "negative": ["33", 0]}, + } + graph["66"] = {"class_type": "VAEEncode", "inputs": {"pixels": ["51", 0]}} + graph["67"] = {"class_type": "VAEDecode", "inputs": {"samples": ["60", 0]}} + graph["61"]["inputs"]["images"] = ["67", 0] + cases["flux-custom-advanced-chained"] = graph + return {f"runtime-{name}": graph for name, graph in cases.items()} + + +def _passthrough_edges(): + """Lineage and floor edges: branching refiners, other slots, cycles, guiders.""" + cases = {} + graph = shapes.hires_fix() + graph["30"] = shapes.ksampler(["2", 0], ["3", 0], ["17", 0], denoise=0.4) + graph["31"] = {"class_type": "SaveImage", "inputs": {"images": ["30", 0]}} + cases["hires-fix-two-refiners"] = graph + graph = shapes.hires_fix() + graph["10"]["class_type"] = "SamplerCustom" + graph["11"]["inputs"]["samples"] = ["10", 1] + cases["hires-fix-denoised-slot"] = graph + graph = shapes.hires_fix() + graph["30"] = shapes.ksampler(["2", 0], ["3", 0], ["4", 0]) + graph["31"] = {"class_type": "VAEDecode", "inputs": {"samples": ["30", 0]}} + graph["32"] = {"class_type": "VAEEncode", "inputs": {"pixels": ["31", 0]}} + graph["30"]["inputs"]["latent_image"] = ["32", 0] + cases["hires-fix-self-latent"] = graph + graph = shapes.hires_fix() + graph["30"] = shapes.ksampler(["2", 0], ["3", 0], ["32", 0]) + graph["31"] = {"class_type": "VAEDecode", "inputs": {"samples": ["32", 0]}} + graph["32"] = {"class_type": "VAEEncode", "inputs": {"pixels": ["31", 0]}} + graph["33"] = {"class_type": "SaveImage", "inputs": {"images": ["30", 0]}} + cases["hires-fix-lineage-cycle"] = graph + graph = shapes.flux_three_stage() + graph["39"] = shapes.encode(shapes.OTHER) + graph["40"]["inputs"]["positive"] = ["39", 0] + cases["flux-base-stages-differ"] = graph + graph = shapes.flux_three_stage() + del graph["60"]["inputs"]["negative"] + cases["flux-no-last-negative"] = graph + graph = shapes.flux_three_stage() + graph["39"] = {"class_type": "MysteryPrompt", "inputs": {"seed": 1}} + graph["40"]["inputs"]["positive"] = ["39", 0] + graph["50"]["inputs"]["positive"] = ["39", 0] + cases["flux-unreadable-base"] = graph + graph = shapes.flux_three_stage() + graph["39"] = { + "class_type": "MysteryUpscaler", + "inputs": {"image": ["51", 0], "model": ["1", 0], "positive": ["34", 0]}, + } + graph["52"]["inputs"]["images"] = ["39", 0] + cases["flux-unsupported-ancestry"] = graph + graph = shapes.flux_three_stage() + graph["60"] = { + "class_type": "SamplerCustomAdvanced", + "inputs": { + "noise": ["62", 0], + "guider": ["63", 0], + "sampler": ["64", 0], + "sigmas": ["65", 0], + "latent_image": ["66", 0], + }, + } + graph["62"] = {"class_type": "RandomNoise", "inputs": {"noise_seed": 1}} + graph["63"] = { + "class_type": "CFGGuider", + "inputs": {"model": ["1", 0], "positive": ["35", 0], "negative": ["33", 0]}, + } + graph["64"] = {"class_type": "KSamplerSelect", "inputs": {"sampler_name": "euler"}} + graph["65"] = {"class_type": "BasicScheduler", "inputs": {"steps": 4}} + graph["66"] = {"class_type": "VAEEncode", "inputs": {"pixels": ["52", 0]}} + graph["67"] = {"class_type": "VAEDecode", "inputs": {"samples": ["60", 0]}} + graph["61"]["inputs"]["images"] = ["67", 0] + cases["flux-custom-advanced-last"] = graph + return {f"edge-{name}": graph for name, graph in cases.items()} + + def selection_cases(): """Named record sets for every Task 9 path, each a ``read_inspection_file`` dict.""" cases = {} - for group in (_samplers(), _previews(), _detailers()): + for group in (_samplers(), _previews(), _detailers(), _passthrough()): for name, graph in group.items(): cases[f"select-{name}"] = {"prompt": json.dumps(graph, ensure_ascii=False)} cases.update(_parameters()) @@ -572,3 +777,101 @@ def selection_fuzz_cases(seed, count): records.update(builder.records) cases[f"select-fuzz-{seed}-{index}"] = records return cases + + +_LINEAGE_HOPS = ( + ("VAEDecode", "samples"), + ("VAEDecodeTiled", "samples"), + ("Image Filter", "images"), + ("ImageUpscaleWithModel", "image"), + ("ImageScale", "image"), + ("ImageScaleBy", "image"), + ("VAEEncode", "pixels"), + ("LatentUpscaleBy", "samples"), + ("Reroute", "value"), + ("MysteryImageEffect", "image"), +) + + +def passthrough_fuzz_cases(seed, count): + """Seeded sampler chains joined by random lineage (and unlisted) hops. + + Each later stage reads the earlier one's output through zero to four hops, + with a shared, a different, an added-to (combine, concat, average) or a + run-time positive, and a shared or different negative, under a saver or a + preview. The server is the oracle; nothing states the expected answer. + """ + rng = random.Random(seed) + cases = {} + for index in range(count): + graph = { + "1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "m"}}, + "2": shapes.prompt_manager(rng.choice([shapes.POSITIVE, "fox"])), + "3": shapes.encode(shapes.NEGATIVE), + "4": {"class_type": "EmptyLatentBatch", "inputs": {"batch_size": 2}}, + "5": shapes.encode(shapes.STYLE), + "6": shapes.encode(shapes.OTHER), + } + previous, next_id = ["4", 0], 10 + for stage in range(rng.randint(2, 3)): + positive = ["2", 0] + choice = rng.randrange(8) + if stage and choice == 1: + positive = ["6", 0] + elif stage and choice in (2, 3, 4): + name = ( + "ConditioningCombine", + "ConditioningConcat", + "ConditioningAverage", + )[choice - 2] + names = shapes._COMPOSITE_INPUTS[name] + parts = [["2", 0], rng.choice([["5", 0], ["6", 0]])] + rng.shuffle(parts) + graph[str(next_id)] = { + "class_type": name, + "inputs": dict(zip(names, parts)), + } + positive, next_id = [str(next_id), 0], next_id + 1 + elif stage and choice == 5: + graph[str(next_id)] = { + "class_type": "FluxGuidance", + "inputs": {"guidance": 3.5, "conditioning": ["2", 0]}, + } + positive, next_id = [str(next_id), 0], next_id + 1 + negative = ["6", 0] if stage and rng.random() < 0.15 else ["3", 0] + latent = previous + if stage: + image = previous + for _ in range(rng.randrange(5)): + name, key = rng.choice(_LINEAGE_HOPS) + graph[str(next_id)] = {"class_type": name, "inputs": {key: image}} + image, next_id = [str(next_id), 0], next_id + 1 + latent = image + sampler = shapes.ksampler(positive, negative, latent) + if stage and rng.random() < 0.2: + sampler = { + "class_type": "UltimateSDUpscale", + "inputs": { + "image": latent, + "model": ["1", 0], + "positive": positive, + "negative": negative, + }, + } + graph[str(next_id)] = sampler + previous, next_id = [str(next_id), 0], next_id + 1 + if rng.random() < 0.3: + saver = rng.choice(["SaveImage", "PreviewImage"]) + graph[str(next_id)] = { + "class_type": saver, + "inputs": {"images": previous}, + } + next_id += 1 + graph[str(next_id)] = { + "class_type": "SaveImage", + "inputs": {"images": previous}, + } + cases[f"select-passthrough-fuzz-{seed}-{index}"] = { + "prompt": json.dumps(graph, ensure_ascii=False) + } + return cases diff --git a/tests/passthrough_graphs.py b/tests/passthrough_graphs.py new file mode 100644 index 0000000..475e3e4 --- /dev/null +++ b/tests/passthrough_graphs.py @@ -0,0 +1,332 @@ +"""Synthetic multi-stage graphs for the pass-through lineage rule. + +Each builder reproduces one graph shape with neutral texts and generic names: +a hires-fix or refiner chain (sampler, decode, image filter, model upscale, +scale, encode, sampler), a three-stage Flux run whose last stage combines the +base prompt with a style trigger, an image-edit batch of samplers with distinct +prompts, and a chain whose prompt is generated at run time. They are shared by +the resolver tests and the browser-port parity cases; no user file is involved. +""" + +import copy + +POSITIVE = "a lighthouse on a cliff, golden hour" +NEGATIVE = "blurry, lowres" +OTHER = "a red bicycle in the rain" +STYLE = "film grain, analog photo" + + +def encode(text): + return {"class_type": "CLIPTextEncode", "inputs": {"text": text, "clip": ["1", 1]}} + + +def prompt_manager(text, prepend=""): + return { + "class_type": "PromptManager", + "inputs": { + "text": text, + "category": "", + "tags": "", + "search_text": "", + "prepend_text": prepend, + "append_text": "", + "clip": ["1", 1], + }, + } + + +def ksampler(positive, negative, latent, denoise=1.0): + return { + "class_type": "KSampler", + "inputs": { + "seed": 7, + "steps": 20, + "cfg": 7.0, + "sampler_name": "euler", + "scheduler": "normal", + "denoise": denoise, + "model": ["1", 0], + "positive": positive, + "negative": negative, + "latent_image": latent, + }, + } + + +def hires_fix(second_positive=None, filter_class="Image Filter"): + """Two KSamplers joined in image space, like a hires-fix or refiner run. + + Sampler 10 runs on a custom batch latent; its output goes through a tiled + decode, an interactive image filter, a model upscale and a scale (sized by a + resolution node reading the filtered image), then is encoded again for + sampler 20 (denoise 0.25), which is decoded and saved. + """ + graph = { + "1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "m"}}, + "2": prompt_manager(POSITIVE), + "3": encode(NEGATIVE), + "4": { + "class_type": "EmptyLatentBatch", + "inputs": {"width": 1024, "height": 512, "batch_size": 4}, + }, + "10": ksampler(["2", 0], ["3", 0], ["4", 0]), + "11": { + "class_type": "VAEDecodeTiled", + "inputs": {"tile_size": 512, "samples": ["10", 0], "vae": ["1", 2]}, + }, + "12": { + "class_type": filter_class, + "inputs": {"timeout": 600, "ontimeout": "send none", "images": ["11", 0]}, + }, + "13": {"class_type": "UpscaleModelLoader", "inputs": {"model_name": "x4"}}, + "14": { + "class_type": "ImageUpscaleWithModel", + "inputs": {"upscale_model": ["13", 0], "image": ["12", 0]}, + }, + "15": { + "class_type": "ResolutionCalculator", + "inputs": {"scale_factor": 1.5, "image": ["12", 0]}, + }, + "16": { + "class_type": "ImageScale", + "inputs": { + "upscale_method": "nearest-exact", + "width": ["15", 0], + "height": ["15", 1], + "crop": "disabled", + "image": ["14", 0], + }, + }, + "17": { + "class_type": "VAEEncode", + "inputs": {"pixels": ["16", 0], "vae": ["1", 2]}, + }, + "20": ksampler(["2", 0], ["3", 0], ["17", 0], denoise=0.25), + "21": { + "class_type": "VAEDecodeTiled", + "inputs": {"tile_size": 512, "samples": ["20", 0], "vae": ["1", 2]}, + }, + "22": { + "class_type": "SaveImage", + "inputs": {"filename_prefix": "hires", "images": ["21", 0]}, + }, + "23": {"class_type": "PlaySound|pysssss", "inputs": {"any": ["21", 0]}}, + } + if second_positive is not None: + graph["5"] = encode(second_positive) + graph["20"]["inputs"]["positive"] = ["5", 0] + return graph + + +_COMPOSITE_INPUTS = { + "ConditioningCombine": ("conditioning_1", "conditioning_2"), + "ConditioningConcat": ("conditioning_to", "conditioning_from"), + "ConditioningAverage": ("conditioning_to", "conditioning_from"), +} + + +def flux_three_stage(combined=(("30", 0), ("31", 0)), composite="ConditioningCombine"): + """FluxGuidance base, a refiner through an image filter, then a tiled upscale. + + Samplers 40 and 50 share FluxGuidance(PromptManager 30) and a zeroed empty + negative. Sampler 50 refines 40's filtered image (denoise 0.25). The final + UltimateSDUpscale 60 reads 50's image, scaled down, and a positive that is + ``composite`` of ``combined`` (by default the base PromptManager and a + style-trigger encoder 31). + """ + names = _COMPOSITE_INPUTS[composite] + graph = { + "1": {"class_type": "UNETLoader", "inputs": {"unet_name": "flux"}}, + "2": {"class_type": "DualCLIPLoader", "inputs": {"type": "flux"}}, + "3": {"class_type": "VAELoader", "inputs": {"vae_name": "ae"}}, + "30": prompt_manager(POSITIVE), + "31": encode(STYLE), + "32": { + "class_type": "CLIPTextEncode", + "inputs": {"text": "", "clip": ["2", 0]}, + }, + "33": { + "class_type": "ConditioningZeroOut", + "inputs": {"conditioning": ["32", 0]}, + }, + "34": { + "class_type": "FluxGuidance", + "inputs": {"guidance": 3.5, "conditioning": ["30", 0]}, + }, + "35": { + "class_type": composite, + "inputs": dict(zip(names, map(list, combined))), + }, + "36": { + "class_type": "EmptyLatentBatch", + "inputs": {"width": 1080, "height": 1920, "batch_size": 4}, + }, + "40": ksampler(["34", 0], ["33", 0], ["36", 0]), + "41": { + "class_type": "VAEDecode", + "inputs": {"samples": ["40", 0], "vae": ["3", 0]}, + }, + "42": { + "class_type": "Image Filter", + "inputs": {"timeout": 600, "images": ["41", 0]}, + }, + "43": {"class_type": "PreviewImage", "inputs": {"images": ["42", 0]}}, + "44": { + "class_type": "VAEEncode", + "inputs": {"pixels": ["42", 0], "vae": ["3", 0]}, + }, + "50": ksampler(["34", 0], ["33", 0], ["44", 0], denoise=0.25), + "51": { + "class_type": "VAEDecode", + "inputs": {"samples": ["50", 0], "vae": ["3", 0]}, + }, + "52": { + "class_type": "ImageScaleDownBy", + "inputs": {"scale_by": 0.75, "images": ["51", 0]}, + }, + "53": {"class_type": "PreviewImage", "inputs": {"images": ["51", 0]}}, + "54": { + "class_type": "Image Comparer (rgthree)", + "inputs": {"image_a": ["51", 0], "image_b": ["42", 0]}, + }, + "60": { + "class_type": "UltimateSDUpscale", + "inputs": { + "upscale_by": 2.0, + "seed": 7, + "steps": 4, + "denoise": 0.35, + "image": ["52", 0], + "model": ["1", 0], + "positive": ["35", 0], + "negative": ["33", 0], + "vae": ["3", 0], + }, + }, + "61": { + "class_type": "SaveImage", + "inputs": {"filename_prefix": "flux", "images": ["60", 0]}, + }, + } + return graph + + +def edit_batch(count=3): + """Image-edit samplers with distinct prompts, all saved with one prefix.""" + graph = { + "1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "m"}}, + "2": {"class_type": "LoadImage", "inputs": {"image": "ref.png"}}, + "3": { + "class_type": "VAEEncode", + "inputs": {"pixels": ["2", 0], "vae": ["1", 2]}, + }, + "4": {"class_type": "PrimitiveString", "inputs": {"value": "edit"}}, + } + for index in range(count): + base = 100 + index * 10 + graph[str(base)] = { + "class_type": "TextEncodeQwenImageEdit", + "inputs": { + "prompt": f"edit number {index}: change the pose", + "clip": ["1", 1], + }, + } + graph[str(base + 1)] = ksampler([str(base), 0], [str(base), 0], ["3", 0]) + graph[str(base + 2)] = { + "class_type": "VAEDecode", + "inputs": {"samples": [str(base + 1), 0], "vae": ["1", 2]}, + } + graph[str(base + 3)] = { + "class_type": "SaveImage", + "inputs": {"filename_prefix": ["4", 0], "images": [str(base + 2), 0]}, + } + return graph + + +def trigger_toggle(words="trig9word"): + """LoraManager's TriggerWord Toggle: its output is decided at run time.""" + return { + "class_type": "TriggerWord Toggle (LoraManager)", + "inputs": { + "group_mode": True, + "default_active": True, + "toggle_trigger_words": {"__value__": [{"text": words, "active": True}]}, + "orinalMessage": words, + "trigger_words": ["7", 2], + }, + } + + +def hires_fix_with_trigger_words(): + """``hires_fix`` whose PromptManager prepends LoRA trigger words (node 8).""" + graph = hires_fix() + graph["7"] = { + "class_type": "Lora Loader (LoraManager)", + "inputs": {"model": ["1", 0], "clip": ["1", 1], "text": ""}, + } + graph["8"] = trigger_toggle() + graph["2"]["inputs"]["prepend_text"] = ["8", 0] + return graph + + +def prompt_manager_text(text, prepend=""): + """PromptManagerText: a STRING PromptManager (prepend/main/append).""" + return { + "class_type": "PromptManagerText", + "inputs": { + "text": text, + "category": "", + "tags": "", + "search_text": "", + "prepend_text": prepend, + "append_text": "", + }, + } + + +def trigger_words_through(shape): + """``hires_fix_with_trigger_words`` with nodes between the toggle and sampler. + + ``text-encode``: PromptManagerText (prepend <- toggle) -> CLIPTextEncode. + ``chained``: a PromptManager whose ``text`` reads that PromptManagerText. + ``concat``: PromptManagerText -> StringConcatenate(..., "extra") -> encoder. + """ + graph = hires_fix_with_trigger_words() + graph["9"] = prompt_manager_text(POSITIVE, ["8", 0]) + if shape == "chained": + graph["2"]["inputs"].update(prepend_text="", text=["9", 0]) + elif shape == "text-encode": + graph["2"] = {"class_type": "CLIPTextEncode", "inputs": {"text": ["9", 0]}} + else: + graph["19"] = { + "class_type": "StringConcatenate", + "inputs": {"string_a": ["9", 0], "string_b": "extra", "delimiter": ", "}, + } + graph["2"] = {"class_type": "CLIPTextEncode", "inputs": {"text": ["19", 0]}} + return graph + + +def branches_with_and_without_trigger_words(): + """Two saved branches: one PromptManager prepends trigger words, one does not.""" + graph = hires_fix_with_trigger_words() + graph["9"] = prompt_manager(POSITIVE) + graph["20"]["inputs"].update(positive=["9", 0], latent_image=["4", 0]) + return graph + + +def generated_text_chain(): + """``hires_fix`` whose positive text comes from a run-time text generator.""" + graph = hires_fix() + graph["2"] = { + "class_type": "CLIPTextEncode", + "inputs": {"text": ["6", 0], "clip": ["1", 1]}, + } + graph["6"] = { + "class_type": "TextGenerate", + "inputs": {"prompt": "write a prompt", "model": ["1", 0]}, + } + return graph + + +def copied(graph): + return copy.deepcopy(graph) diff --git a/tests/test_card_seed.py b/tests/test_card_seed.py index 466c92c..ab2010f 100644 --- a/tests/test_card_seed.py +++ b/tests/test_card_seed.py @@ -68,6 +68,55 @@ class CardSeed(unittest.TestCase): self.assertIn(expected, (111, 222)) self.assertEqual(info_seed(info), str(expected)) + def test_a_chain_the_inspector_names_one_stage_of_shows_no_differing_seed(self): + # The inspector shows the named final stage's seed (D19, pass-through + # chains); the parser shows another stage's. Never two seeds: none. + extra = {"2": {"class_type": "EmptyLatentImage", "inputs": {}}} + extra["20"] = {"class_type": "VAEDecode", "inputs": {"samples": ["10", 0]}} + extra["21"] = { + "class_type": "FaceDetailer", + "inputs": { + "seed": 333, + "image": ["20", 0], + "model": ["4", 0], + "positive": ["6", 0], + "negative": ["7", 0], + }, + } + info = graph(seeded(111), extra=extra) + self.assertEqual(extract_from_records(info["prompt"], None)["seed"], 111) + self.assertIsNone(info_seed(info)) + # The same chain on one seed keeps it; so does a refiner over a decode. + extra["21"]["inputs"]["seed"] = 111 + self.assertEqual(info_seed(graph(seeded(111), extra=extra)), "111") + refiner = seeded(222, latent_image=["22", 0]) + extra["22"] = {"class_type": "VAEEncode", "inputs": {"pixels": ["20", 0]}} + del extra["21"] + self.assertIsNone(info_seed(graph(seeded(111), refiner, extra=extra))) + refiner["inputs"]["seed"] = 111 + self.assertEqual(info_seed(graph(seeded(111), refiner, extra=extra)), "111") + + def test_a_seed_that_agrees_with_the_named_stage_is_kept(self): + # Review I3: a saved sampler (seed 7) beside a preview-only sampler + # (seed 5): the parser and the inspector both show 7, as on main. + extra = {"2": {"class_type": "EmptyLatentImage", "inputs": {}}} + extra["20"] = {"class_type": "VAEDecode", "inputs": {"samples": ["10", 0]}} + extra["21"] = {"class_type": "SaveImage", "inputs": {"images": ["20", 0]}} + extra["30"] = {"class_type": "VAEDecode", "inputs": {"samples": ["11", 0]}} + extra["31"] = {"class_type": "PreviewImage", "inputs": {"images": ["30", 0]}} + info = graph(seeded(7), seeded(5), extra=extra) + self.assertEqual(info_seed(info), "7") + + def test_a_named_ambiguous_chain_keeps_the_parser_seed(self): + # Review M2: multistage-differs names a sampler, but its facts merge, + # and the inspector fills the parser's seed: the card keeps it. + extra = {"2": {"class_type": "EmptyLatentImage", "inputs": {}}} + extra["8"] = encoder("another scene") + extra["20"] = {"class_type": "VAEDecode", "inputs": {"samples": ["10", 0]}} + extra["22"] = {"class_type": "VAEEncode", "inputs": {"pixels": ["20", 0]}} + refiner = ksampler(("8", 0), ("7", 0), seed=222, latent_image=["22", 0]) + self.assertEqual(info_seed(graph(seeded(111), refiner, extra=extra)), "111") + def test_card_seed_linked_input_follows_shared_parser(self): primitive = {"class_type": "PrimitiveNode", "inputs": {"value": 555}} info = graph(seeded(["20", 0]), extra={"20": primitive}) @@ -207,6 +256,7 @@ class CardSeed(unittest.TestCase): self.assertIsNone(parsed_positive(unparsable)) def test_every_shared_case_reads_the_projected_graphs(self): + withheld = [] for name, case in CASES.items(): with self.subTest(case=name): info = {k: v for k, v in case.items() if v is not None} @@ -225,11 +275,18 @@ class CardSeed(unittest.TestCase): except GenerationParamsError: self.assertIsNone(params) continue + if name == "shared-prompt-pipeline": + # The inspector names the detailer (seed 333); the parser + # reads the base sampler (111): the card shows none. + self.assertEqual(expected["seed"], 111) + expected = {**expected, "seed": None} + withheld.append(name) self.assertEqual(params, expected) # Prompt text is the same as from a plain parse of the records. if len(values) == len(info): raw = extract_from_records(case["prompt"], case["workflow"]) self.assertEqual(params["positivePrompt"], raw["positivePrompt"]) + self.assertEqual(withheld, ["shared-prompt-pipeline"]) if __name__ == "__main__": diff --git a/tests/test_inspection_legacy_ports.py b/tests/test_inspection_legacy_ports.py index 902ce04..196f202 100644 --- a/tests/test_inspection_legacy_ports.py +++ b/tests/test_inspection_legacy_ports.py @@ -800,10 +800,15 @@ class TestUpstreamVerifiedNodeSemantics(unittest.TestCase): prompt["31"] = dict(prompt["3"], inputs=dict(prompt["3"]["inputs"])) prompt["31"]["inputs"]["latent_image"] = ["3", 0] prompt["8"]["inputs"]["samples"] = ["31", 0] - # Unanchored, two listed samplers are two branches, as for KSampler. - self.assertEqual(_inspect({"prompt": prompt})["state"], "ambiguous") + # 31 continues 3's latent: the stages are compared, as for KSampler. + for anchor in (None, "9"): + result = _inspect({"prompt": prompt}, output_node_id=anchor) + self.assertEqual( + (result["state"], result["sampler_id"]), ("resolved", "31") + ) + prompt["31"]["inputs"]["positive"] = ["7", 0] result = _inspect({"prompt": prompt}, output_node_id="9") - self.assertEqual(result["reason"], resolver.MULTISTAGE_UNATTRIBUTED_REASON) + self.assertEqual(result["reason_code"], "multistage-differs") def test_seed_variance_enhancer_passes_its_conditioning(self): prompt = _f02( diff --git a/tests/test_inspection_semantics.py b/tests/test_inspection_semantics.py index 8739e04..2cae45c 100644 --- a/tests/test_inspection_semantics.py +++ b/tests/test_inspection_semantics.py @@ -55,6 +55,9 @@ def _minimal(): "runtime": [], "savers": {}, "non_file_outputs": [], + "lineage": [ + {"class": "VAEEncode", "slot": 0, "strategy": "continue", "input": "pixels"} + ], "stage_inputs": {"shaped": ["positive"], "with_model": ["samples"]}, "facts": { "configuration_outputs": {}, @@ -199,16 +202,26 @@ class SpecEntriesTest(unittest.TestCase): }, ) + # Combine and concat keep every part in effect (additive); an average + # blends its parts, so a part may be weighted away. self.assertEqual( table.composites["ConditioningCombine"], - {"strategy": "combine", "inputs": ("conditioning_1", "conditioning_2")}, + { + "strategy": "combine", + "inputs": ("conditioning_1", "conditioning_2"), + "additive": True, + }, ) - for name in ("ConditioningConcat", "ConditioningAverage"): + for name, additive in ( + ("ConditioningConcat", {"additive": True}), + ("ConditioningAverage", {}), + ): self.assertEqual( table.composites[name], { "strategy": "combine", "inputs": ("conditioning_to", "conditioning_from"), + **additive, }, ) @@ -257,7 +270,12 @@ class SpecEntriesTest(unittest.TestCase): ) # D18: decided at run time. - self.assertEqual(table.runtime, frozenset({"PromptSearchList"})) + # LoraManager's TriggerWord Toggle outputs the LoRA's trigger words as + # filtered at run time (option A leaves them out of a PromptManager). + self.assertEqual( + table.runtime, + frozenset({"PromptSearchList", "TriggerWord Toggle (LoraManager)"}), + ) comfy = "{name}_{counter:05}_.{ext}" for name, image in ( @@ -464,6 +482,89 @@ class SpecEntriesTest(unittest.TestCase): self.assertIsInstance(table.composites["ConditioningCombine"]["inputs"], tuple) +class LineageTableTest(_TableCase): + """``lineage``: outputs whose image or latent continues one input's.""" + + def test_repository_lineage_lists_the_pass_through_nodes(self): + table = load_semantics() + self.assertEqual( + {key: dict(entry) for key, entry in table.lineage.items()}, + { + ("VAEDecode", 0): {"strategy": "continue", "input": "samples"}, + ("VAEDecodeTiled", 0): {"strategy": "continue", "input": "samples"}, + ("VAEEncode", 0): {"strategy": "continue", "input": "pixels"}, + ("VAEEncodeTiled", 0): {"strategy": "continue", "input": "pixels"}, + ("ImageUpscaleWithModel", 0): { + "strategy": "continue", + "input": "image", + }, + ("ImageScale", 0): {"strategy": "continue", "input": "image"}, + ("ImageScaleBy", 0): {"strategy": "continue", "input": "image"}, + ("ImageScaleToTotalPixels", 0): { + "strategy": "continue", + "input": "image", + }, + ("LatentUpscale", 0): {"strategy": "continue", "input": "samples"}, + ("LatentUpscaleBy", 0): {"strategy": "continue", "input": "samples"}, + ("Image Filter", 0): {"strategy": "continue", "input": "images"}, + ("Image Filter", 1): {"strategy": "continue", "input": "latents"}, + }, + ) + # Lineage describes no prompt: its classes are not prompt categories. + self.assertFalse({name for name, _ in table.lineage} & table.all_classes) + + def test_lineage_rows_are_validated(self): + def row(**changes): + entry = { + "class": "VAEEncode", + "slot": 0, + "strategy": "continue", + "input": "pixels", + } + entry.update(changes) + return entry + + cases = ( + ({"lineage": {}}, "must be a list"), + ({"lineage": ["VAEEncode"]}, "must be an object"), + ({"lineage": [row(strategy="passthrough")]}, "unknown strategy"), + ({"lineage": [row(slot=-1)]}, "slot"), + ({"lineage": [row(slot=True)]}, "slot"), + ({"lineage": [row(input="")]}, "input name"), + ({"lineage": [row(note="x")]}, "field"), + ({"lineage": [row(), row()]}, "duplicate"), + ({"lineage": [row(**{"class": ""})]}, "class"), + ) + for index, (change, fragment) in enumerate(cases): + with self.subTest(case=index): + doc = _minimal() + doc.update(change) + self.assertRejected(doc, fragment) + doc = _minimal() + doc["lineage"].append(row(slot=1, input="latents")) + self.assertEqual(len(self.load_doc(doc).lineage), 2) + + def test_a_lineage_class_may_also_carry_conditioning(self): + # InpaintModelConditioning-like: conditioning slots, a latent slot. + doc = _minimal() + doc["lineage"].append( + {"class": "FluxGuidance", "slot": 1, "strategy": "continue", "input": "x"} + ) + self.assertIn(("FluxGuidance", 1), self.load_doc(doc).lineage) + + def test_composite_additive_must_be_a_boolean(self): + doc = _minimal() + doc["composites"]["ConditioningCombine"] = { + "strategy": "combine", + "inputs": ["conditioning_1", "conditioning_2"], + "additive": "yes", + } + self.assertRejected(doc, "additive must be a boolean") + doc["composites"]["ConditioningCombine"]["additive"] = True + table = self.load_doc(doc) + self.assertIs(table.composites["ConditioningCombine"]["additive"], True) + + class ValidationTest(_TableCase): def test_minimal_table_loads(self): table = self.load_doc(_minimal()) @@ -501,6 +602,7 @@ class ValidationTest(_TableCase): {"literal", "strip-newlines", "join-multi", "concat"} ), "savers": frozenset({"comfy-counter", "vhs-counter"}), + "lineage": frozenset({"continue"}), }, ) with self.assertRaises(TypeError): diff --git a/tests/test_local_inspect_parity.py b/tests/test_local_inspect_parity.py index 04d4ad5..7dcf52d 100644 --- a/tests/test_local_inspect_parity.py +++ b/tests/test_local_inspect_parity.py @@ -52,7 +52,7 @@ from utils.prompt_inspector import ( ) from utils.prompt_inspector import inspect_prompt_evidence, unreadable_evidence -from utils.prompt_pair_resolver import INSPECTION_PROFILE +from utils.prompt_pair_resolver import ADDED_CONDITIONING_REASON, INSPECTION_PROFILE try: from tests import inspection_parity as parity @@ -1293,6 +1293,33 @@ class LocalResolverParityTests(unittest.TestCase): self.assertEqual( answers["select-preview-dropped"]["resolution"]["sampler_id"], "3" ) + # Pass-through lineage: the chain shapes reach every new outcome. + self.assertEqual( + { + name: answers[f"select-{name}"]["resolution"]["reason"] + for name in ("hires-fix", "flux-three-stage", "hires-fix-differs") + }, + { + "hires-fix": "", + "flux-three-stage": ADDED_CONDITIONING_REASON, + "hires-fix-differs": "Sampler stages have different prompts", + }, + ) + + def test_local_roles_match_fuzzed_pass_through_chains(self): + cases = {} + for seed in range(4): + cases.update(selection_cases.passthrough_fuzz_cases(seed, 120)) + answers = self._compare(cases) + reasons = [answer["resolution"]["reason"] for answer in answers.values()] + for reason in ( + "", + "Sampler stages have different prompts", + "A later stage adds conditioning to the base prompt", + "Combined conditioning has different texts", + "Multiple sampler branches", + ): + self.assertGreater(reasons.count(reason), 5, reason) def test_local_roles_match_fuzzed_selection_sets(self): cases = {} diff --git a/tests/test_prompt_pair_resolver.py b/tests/test_prompt_pair_resolver.py index f92bfe4..afd7a32 100644 --- a/tests/test_prompt_pair_resolver.py +++ b/tests/test_prompt_pair_resolver.py @@ -1245,7 +1245,7 @@ class TestGuiderSamplers(unittest.TestCase): source["3"]["inputs"]["guider"] = [previous, 0] self.assertEqual(_inspect(source)["reason_code"], "depth-limit") - def test_custom_advanced_upstream_of_a_sampler_is_multistage(self): + def test_custom_advanced_upstream_of_a_sampler_is_a_compared_stage(self): source = _guided() source["41"] = { "class_type": "KSampler", @@ -1256,15 +1256,18 @@ class TestGuiderSamplers(unittest.TestCase): }, } source["8"]["inputs"]["samples"] = ["41", 0] + # 41 continues 3's latent and reads the same texts as 3's guider. + for anchor in ("9", None): + result = _inspect(source, output_node_id=anchor) + self.assertEqual( + (result["state"], result["sampler_id"]), ("resolved", "41") + ) + source["41"]["inputs"]["negative"] = ["6", 0] result = _inspect(source, output_node_id="9") - self.assertEqual(result["sampler_id"], "41") - self.assertEqual(result["state"], "unresolved") - self.assertEqual(result["reason"], "Multistage sampler ancestry is ambiguous") - unanchored = _inspect(source) - self.assertEqual(unanchored["state"], "ambiguous") + self.assertEqual(result["state"], "ambiguous") + self.assertEqual(result["reason_code"], "multistage-differs") self.assertEqual( - sorted(item["sampler_id"] for item in unanchored["candidates"]), - ["3", "41"], + sorted(item["sampler_id"] for item in result["candidates"]), ["3", "41"] ) @@ -2632,17 +2635,19 @@ class TestLatentAncestry(unittest.TestCase): self.assertEqual(_sides(result), (parity.POS, parity.NEG)) self.assertEqual(_inspect(source, output_node_id="9"), result) - def test_upstream_sampler_through_vaedecode_vaeencode_is_multistage(self): - for positive in (OTHER, parity.POS): - with self.subTest(positive=positive): - result = _inspect(_image_to_image(positive), output_node_id="63") - # Until PR3 compares stage texts, never one stage's prompt. - self.assertEqual(result["state"], "unresolved") - self.assertEqual(result["sampler_id"], "61") - self.assertEqual(result["reason"], MULTISTAGE) - self.assertIsNone(result["reason_code"]) - self.assertIsNone(result["positive"]) - self.assertIsNone(result["negative"]) + def test_upstream_sampler_through_vaedecode_vaeencode_is_compared(self): + # The latent continues the first stage's through lineage nodes: the + # stages are compared (spec 9.3), equal prompts resolve, others differ. + result = _inspect(_image_to_image(parity.POS), output_node_id="63") + self.assertEqual((result["state"], result["sampler_id"]), ("resolved", "61")) + self.assertEqual(_sides(result), (parity.POS, parity.NEG)) + result = _inspect(_image_to_image(OTHER), output_node_id="63") + self.assertEqual(result["state"], "ambiguous") + self.assertEqual(result["sampler_id"], "61") + self.assertEqual(result["reason_code"], "multistage-differs") + self.assertEqual( + [item["sampler_id"] for item in result["candidates"]], ["61", "3"] + ) # An upstream sampler reached through a non-latent input is a stage too. source = _latent_from( { @@ -2959,9 +2964,15 @@ class TestLatentAncestry(unittest.TestCase): result = _inspect(source, output_node_id="9") self.assertEqual(result["reason_code"], "unsupported-node") self.assertEqual(result["node"], {"id": "60", "class_type": "MysteryUpscaler"}) - # The listed stage is now an earlier sampler stage in the ancestry. + # The listed stage is now an earlier sampler stage, continued through + # VAEEncode: its prompt equals this stage's, so the chain resolves. source["60"]["class_type"] = "UltimateSDUpscale" result = _inspect(source, output_node_id="9") + self.assertEqual((result["state"], result["sampler_id"]), ("resolved", "3")) + # Reached only through an unlisted image node, it stays unattributed. + source["61"] = {"class_type": "MysteryFilter", "inputs": {"image": ["60", 0]}} + source["5"]["inputs"]["pixels"] = ["61", 0] + result = _inspect(source, output_node_id="9") self.assertEqual(result["reason"], resolver.MULTISTAGE_UNATTRIBUTED_REASON) def test_latent_walk_budget_exhaustion_is_work_limit(self): diff --git a/tests/test_resolver_pass_through.py b/tests/test_resolver_pass_through.py new file mode 100644 index 0000000..fbc3aee --- /dev/null +++ b/tests/test_resolver_pass_through.py @@ -0,0 +1,419 @@ +"""Multi-stage chains joined through image-space pass-through nodes. + +A hires-fix or refiner run decodes sampler A's latent, filters, upscales and +scales the image, then encodes it again for sampler B. The semantics table's +``lineage`` section lists the nodes through which the latent or image carries +on unchanged in kind. When B's latent descends from A only through those nodes +and the stages share one pair, the chain resolves to it. A last stage that adds +conditioning to the base prompt (ConditioningCombine of the base and a style +trigger) keeps the base pair: the floor legacy linked. Everything else stays +ambiguous or unresolved. Ingestion (the default profile) is unchanged (D1). +""" + +import json +import unittest + +from utils import prompt_pair_resolver as resolver +from utils.prompt_inspector import inspect_prompt_evidence +from utils.prompt_pair_resolver import resolve_prompt_pair + +try: + from tests import passthrough_graphs as shapes +except ImportError: # discovered with ``-s tests`` + import passthrough_graphs as shapes + + +def _inspect(graph, **options): + return resolve_prompt_pair( + {"prompt": graph}, profile=resolver.INSPECTION_PROFILE, **options + ) + + +def _texts(result): + return tuple( + result[role]["text"] if isinstance(result[role], dict) else None + for role in ("positive", "negative") + ) + + +class TestHiresFixChain(unittest.TestCase): + def test_shared_pair_resolves_through_image_space_pass_through(self): + graph = shapes.hires_fix() + for anchor in (None, "22"): + with self.subTest(anchor=anchor): + result = _inspect(graph, output_node_id=anchor) + self.assertEqual(result["state"], "resolved") + self.assertEqual(result["sampler_id"], "20") + self.assertEqual(_texts(result), (shapes.POSITIVE, shapes.NEGATIVE)) + self.assertIsNone(result["reason_code"]) + + def test_the_earlier_stage_is_judged_in_its_chain(self): + # Sampler 10 only feeds sampler 20, so the file is 20's: one candidate. + result = _inspect(shapes.hires_fix()) + self.assertEqual(result["candidates"], []) + + def test_inspector_shows_the_shared_prompt(self): + evidence = inspect_prompt_evidence({"prompt": json.dumps(shapes.hires_fix())}) + self.assertEqual(evidence["resolution"]["state"], "resolved") + self.assertEqual( + [evidence["prompts"][role]["text"] for role in ("positive", "negative")], + [shapes.POSITIVE, shapes.NEGATIVE], + ) + + def test_different_stage_prompts_are_multistage_ambiguous(self): + result = _inspect(shapes.hires_fix(second_positive=shapes.OTHER)) + self.assertEqual(result["state"], "ambiguous") + self.assertEqual(result["reason_code"], "multistage-differs") + self.assertEqual( + sorted(_texts(item)[0] for item in result["candidates"]), + sorted([shapes.POSITIVE, shapes.OTHER]), + ) + + def test_an_unlisted_image_node_breaks_the_lineage(self): + # The walk still finds the earlier sampler, but not through listed + # pass-through nodes: the stages are never compared. + result = _inspect(shapes.hires_fix(filter_class="MysteryImageEffect")) + self.assertEqual(result["state"], "ambiguous") + later = next( + item for item in result["candidates"] if item["sampler_id"] == "20" + ) + self.assertEqual(later["reason"], resolver.MULTISTAGE_UNATTRIBUTED_REASON) + + def test_a_second_earlier_sampler_in_the_ancestry_stays_unattributed(self): + graph = shapes.hires_fix() + graph["30"] = shapes.ksampler(["2", 0], ["3", 0], ["4", 0]) + graph["31"] = {"class_type": "VAEDecode", "inputs": {"samples": ["30", 0]}} + graph["32"] = { + "class_type": "ImageBlend", + "inputs": {"image1": ["14", 0], "image2": ["31", 0], "blend_factor": 0.5}, + } + graph["16"]["inputs"]["image"] = ["32", 0] + result = _inspect(graph, output_node_id="22") + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason"], resolver.MULTISTAGE_UNATTRIBUTED_REASON) + + def test_a_direct_latent_link_is_a_chain_too(self): + graph = shapes.hires_fix() + graph["20"]["inputs"]["latent_image"] = ["10", 0] + result = _inspect(graph, output_node_id="22") + self.assertEqual((result["state"], result["sampler_id"]), ("resolved", "20")) + + def test_an_unreadable_earlier_stage_blocks_the_chain(self): + graph = shapes.hires_fix(second_positive=shapes.POSITIVE) + graph["10"]["inputs"]["positive"] = ["6", 0] + graph["6"] = {"class_type": "MysteryPrompt", "inputs": {"seed": 1}} + result = _inspect(graph, output_node_id="22") + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason_code"], "unsupported-node") + self.assertEqual(result["node"]["class_type"], "MysteryPrompt") + + def test_generated_text_stays_untraceable(self): + result = _inspect(shapes.generated_text_chain()) + self.assertEqual(result["state"], "unresolved") + self.assertEqual(result["reason_code"], "unsupported-node") + self.assertEqual(result["node"]["class_type"], "TextGenerate") + + def test_ingestion_is_unchanged(self): + # D1: the default profile keeps its historical latent rule. + result = resolve_prompt_pair({"prompt": shapes.hires_fix()}) + self.assertEqual(result["state"], "ambiguous") + self.assertEqual( + {item["reason"] for item in result["candidates"]}, + {"Unsupported latent ancestry"}, + ) + + +class TestFluxThreeStage(unittest.TestCase): + def test_added_style_conditioning_keeps_the_base_pair(self): + graph = shapes.flux_three_stage() + for anchor in (None, "61"): + with self.subTest(anchor=anchor): + result = _inspect(graph, output_node_id=anchor) + self.assertEqual(result["state"], "resolved") + self.assertEqual(_texts(result), (shapes.POSITIVE, "")) + self.assertEqual(result["reason"], resolver.ADDED_CONDITIONING_REASON) + self.assertEqual(result["sampler_id"], "50") + # D126: the positive says a later stage added conditioning. + self.assertEqual( + result["positive"]["provenance"]["text_source"], + resolver.ADDED_CONDITIONING_SOURCE, + ) + self.assertEqual( + result["negative"]["provenance"]["text_source"], + "zeroed-conditioning", + ) + + def test_any_added_conditioning_is_labelled_never_measured(self): + # Ruling I2: a whole other prompt combined in is labelled the same way; + # no length or "short trigger" heuristic. + graph = shapes.flux_three_stage() + graph["31"] = shapes.encode(shapes.OTHER) + result = _inspect(graph) + self.assertEqual(result["state"], "resolved") + self.assertEqual(_texts(result)[0], shapes.POSITIVE) + self.assertEqual( + result["positive"]["provenance"]["text_source"], + resolver.ADDED_CONDITIONING_SOURCE, + ) + + def test_trigger_words_and_added_conditioning_carry_both_labels(self): + graph = shapes.flux_three_stage() + graph["7"] = { + "class_type": "Lora Loader (LoraManager)", + "inputs": {"model": ["1", 0], "clip": ["2", 0], "text": "x"}, + } + graph["8"] = shapes.trigger_toggle() + graph["30"]["inputs"]["prepend_text"] = ["8", 0] + result = _inspect(graph) + self.assertEqual(result["state"], "resolved") + self.assertEqual( + result["positive"]["provenance"]["text_source"], + resolver.RUNTIME_AND_ADDED_SOURCE, + ) + + def test_a_custom_advanced_last_stage_keeps_its_failure(self): + # Review M2: a guider's combined positive is not floored. + graph = shapes.flux_three_stage() + graph["60"] = { + "class_type": "SamplerCustomAdvanced", + "inputs": {"guider": ["63", 0], "latent_image": ["66", 0]}, + } + graph["63"] = { + "class_type": "CFGGuider", + "inputs": {"positive": ["35", 0], "negative": ["33", 0]}, + } + graph["66"] = {"class_type": "VAEEncode", "inputs": {"pixels": ["51", 0]}} + graph["67"] = {"class_type": "VAEDecode", "inputs": {"samples": ["60", 0]}} + graph["61"]["inputs"]["images"] = ["67", 0] + result = _inspect(graph, output_node_id="61") + self.assertEqual( + (result["state"], result["reason_code"]), ("unresolved", "composite") + ) + + def test_concat_also_adds_to_the_base_prompt(self): + result = _inspect(shapes.flux_three_stage(composite="ConditioningConcat")) + self.assertEqual(result["state"], "resolved") + self.assertEqual(_texts(result), (shapes.POSITIVE, "")) + + def test_an_average_blends_the_base_away(self): + result = _inspect(shapes.flux_three_stage(composite="ConditioningAverage")) + self.assertEqual( + (result["state"], result["reason_code"]), ("unresolved", "composite") + ) + + def test_a_combine_without_the_base_prompt_is_not_the_base_pair(self): + graph = shapes.flux_three_stage(combined=(("37", 0), ("31", 0))) + graph["37"] = shapes.encode(shapes.OTHER) + result = _inspect(graph) + self.assertEqual( + (result["state"], result["reason_code"]), ("unresolved", "composite") + ) + + def test_a_different_last_negative_is_not_the_base_pair(self): + graph = shapes.flux_three_stage() + graph["38"] = shapes.encode("watermark") + graph["60"]["inputs"]["negative"] = ["38", 0] + result = _inspect(graph) + self.assertEqual( + (result["state"], result["reason_code"]), ("unresolved", "composite") + ) + + def test_different_base_stages_are_never_floored(self): + graph = shapes.flux_three_stage() + graph["39"] = shapes.encode(shapes.OTHER) + graph["40"]["inputs"]["positive"] = ["39", 0] + result = _inspect(graph) + self.assertNotEqual(result["state"], "resolved") + + def test_a_rerouted_combine_is_followed(self): + graph = shapes.flux_three_stage() + graph["39"] = {"class_type": "Reroute", "inputs": {"input": ["35", 0]}} + graph["60"]["inputs"]["positive"] = ["39", 0] + result = _inspect(graph) + self.assertEqual(result["reason"], resolver.ADDED_CONDITIONING_REASON) + + def test_an_unreadable_last_negative_or_encoder_parts_keep_the_failure(self): + graph = shapes.flux_three_stage() + graph["38"] = {"class_type": "MysteryNegative", "inputs": {"seed": 1}} + graph["60"]["inputs"]["negative"] = ["38", 0] + self.assertEqual(_inspect(graph)["reason_code"], "composite") + # Differing encoder parts are a composite too, but not an added stage. + graph = shapes.flux_three_stage() + graph["39"] = { + "class_type": "CLIPTextEncodeSDXL", + "inputs": {"text_g": shapes.POSITIVE, "text_l": shapes.STYLE}, + } + graph["60"]["inputs"]["positive"] = ["39", 0] + result = _inspect(graph) + self.assertEqual( + (result["state"], result["reason_code"]), ("unresolved", "composite") + ) + self.assertEqual(result["node"]["class_type"], "CLIPTextEncodeSDXL") + + def test_inspector_shows_the_base_prompt(self): + evidence = inspect_prompt_evidence( + {"prompt": json.dumps(shapes.flux_three_stage())} + ) + self.assertEqual(evidence["resolution"]["state"], "resolved") + self.assertEqual(evidence["prompts"]["positive"]["text"], shapes.POSITIVE) + + +class TestRunTimePromptManagerParts(unittest.TestCase): + """Maintainer option A: a run-time prepend or append is left out, labelled.""" + + def test_trigger_words_prepend_resolves_to_the_prompt_manager_text(self): + for anchor in (None, "22"): + with self.subTest(anchor=anchor): + result = _inspect( + shapes.hires_fix_with_trigger_words(), output_node_id=anchor + ) + self.assertEqual(result["state"], "resolved") + self.assertEqual(_texts(result), (shapes.POSITIVE, shapes.NEGATIVE)) + self.assertEqual(result["reason"], resolver.RUNTIME_PARTS_REASON) + provenance = result["positive"]["provenance"] + self.assertEqual( + provenance["text_source"], resolver.RUNTIME_PARTS_SOURCE + ) + self.assertEqual(result["positive"]["storage_text"], shapes.POSITIVE) + # The negative is untouched by the positive's run-time part. + self.assertEqual( + result["negative"]["provenance"]["text_source"], "graph-inferred" + ) + + def test_append_and_a_single_sampler_are_labelled_too(self): + graph = shapes.hires_fix_with_trigger_words() + graph["2"]["inputs"]["prepend_text"] = "masterpiece" + graph["2"]["inputs"]["append_text"] = ["8", 0] + graph["20"]["inputs"]["latent_image"] = ["4", 0] + result = _inspect(graph, output_node_id="22") + self.assertEqual(result["state"], "resolved") + # The literal prepend is still combined exactly as before. + self.assertEqual(_texts(result)[0], "masterpiece " + shapes.POSITIVE) + self.assertEqual(result["reason"], resolver.RUNTIME_PARTS_REASON) + + def test_the_inspector_shows_the_prompt_and_its_source(self): + evidence = inspect_prompt_evidence( + {"prompt": json.dumps(shapes.hires_fix_with_trigger_words())} + ) + self.assertEqual(evidence["resolution"]["state"], "resolved") + self.assertEqual( + evidence["prompts"]["positive"], + { + "status": "resolved", + "text": shapes.POSITIVE, + "source": resolver.RUNTIME_PARTS_SOURCE, + }, + ) + + def test_literal_and_traceable_parts_are_combined_as_before(self): + graph = shapes.hires_fix_with_trigger_words() + graph["8"] = {"class_type": "PrimitiveString", "inputs": {"value": "trig9word"}} + result = _inspect(graph) + self.assertEqual(_texts(result)[0], "trig9word " + shapes.POSITIVE) + self.assertEqual(result["reason"], "") + self.assertEqual( + result["positive"]["provenance"]["text_source"], "graph-inferred" + ) + + def test_only_a_run_time_feeder_is_left_out(self): + # An unknown feeder stays unsupported, naming it. + graph = shapes.hires_fix_with_trigger_words() + graph["8"]["class_type"] = "MysteryWords" + result = _inspect(graph) + self.assertEqual(result["reason_code"], "unsupported-node") + self.assertEqual(result["node"]["class_type"], "MysteryWords") + # A run-time node deeper inside the part makes the whole part run time, + # but it is not a direct feeder: never leave out a traced literal. + graph = shapes.hires_fix_with_trigger_words() + graph["9"] = { + "class_type": "StringConcatenate", + "inputs": {"string_a": "kept", "string_b": ["8", 0], "delimiter": ""}, + } + graph["2"]["inputs"]["prepend_text"] = ["9", 0] + result = _inspect(graph) + self.assertEqual(result["reason_code"], "runtime-value") + + def test_the_main_text_from_a_run_time_node_is_never_left_out(self): + graph = shapes.hires_fix_with_trigger_words() + graph["2"]["inputs"]["prepend_text"] = "" + graph["2"]["inputs"]["text"] = ["8", 0] + result = _inspect(graph) + self.assertEqual(result["reason_code"], "runtime-value") + + def test_the_label_survives_nodes_between_the_prompt_manager_and_sampler(self): + # Review C1: encoders, chained PromptManagers and concatenations. + expected = { + "text-encode": shapes.POSITIVE, + "chained": shapes.POSITIVE, + "concat": shapes.POSITIVE + ", extra", + } + for shape, text in expected.items(): + with self.subTest(shape=shape): + result = _inspect(shapes.trigger_words_through(shape)) + self.assertEqual(result["state"], "resolved") + self.assertEqual(_texts(result)[0], text) + self.assertEqual(result["reason"], resolver.RUNTIME_PARTS_REASON) + self.assertEqual( + result["positive"]["provenance"]["text_source"], + resolver.RUNTIME_PARTS_SOURCE, + ) + + def test_a_partial_prompt_never_equals_a_complete_one(self): + # Review C2: never collapse a branch that left out trigger words with + # one that did not, nor compare such stages as equal. + result = _inspect(shapes.branches_with_and_without_trigger_words()) + self.assertEqual( + (result["state"], result["reason"]), + ("ambiguous", "Multiple sampler branches"), + ) + graph = shapes.hires_fix_with_trigger_words() + graph["9"] = shapes.prompt_manager(shapes.POSITIVE) + graph["20"]["inputs"]["positive"] = ["9", 0] + result = _inspect(graph, output_node_id="22") + self.assertEqual( + (result["state"], result["reason_code"]), + ("ambiguous", "multistage-differs"), + ) + # Two PromptManagers leaving out two different toggles differ too. + graph["8b"] = shapes.trigger_toggle("otherword") + graph["9"]["inputs"]["prepend_text"] = ["8b", 0] + result = _inspect(graph, output_node_id="22") + self.assertEqual(result["reason_code"], "multistage-differs") + + def test_only_listed_run_time_classes_are_left_out(self): + # Review M1: a JoinStringMulti with a linked list flag is run time + # too, but it is not a listed run-time node: never left out. + graph = shapes.hires_fix() + graph["9"] = { + "class_type": "JoinStringMulti", + "inputs": { + "inputcount": 2, + "delimiter": " ", + "return_list": ["98", 0], + "string_1": "static words", + "string_2": "more", + }, + } + graph["98"] = {"class_type": "PrimitiveBoolean", "inputs": {"value": False}} + graph["2"]["inputs"]["prepend_text"] = ["9", 0] + result = _inspect(graph) + self.assertEqual( + (result["state"], result["reason_code"]), ("unresolved", "runtime-value") + ) + self.assertEqual(result["node"]["class_type"], "JoinStringMulti") + + def test_ingestion_is_unchanged(self): + result = resolve_prompt_pair({"prompt": shapes.hires_fix_with_trigger_words()}) + self.assertEqual(result["state"], "ambiguous") + + +class TestStillAmbiguous(unittest.TestCase): + def test_edit_batch_with_distinct_prompts_stays_ambiguous(self): + result = _inspect(shapes.edit_batch(4)) + self.assertEqual(result["state"], "ambiguous") + self.assertEqual(result["reason"], "Multiple sampler branches") + self.assertEqual(len({_texts(item)[0] for item in result["candidates"]}), 4) + + +if __name__ == "__main__": + unittest.main() diff --git a/utils/card_seed.py b/utils/card_seed.py index 5fd0ebb..5d9402c 100644 --- a/utils/card_seed.py +++ b/utils/card_seed.py @@ -6,19 +6,28 @@ the inspection projection (``project_graph``: strict JSON, the depth and node bounds, big integers and decimals as text), and only graphs it parsed, through the shared parser (``extract_generation_params``, the Python twin of the browser parser the inspector fills from since #251). No separate seed -heuristic, no graph resolution and no extra file reads. One parse feeds both -the seed and the positive that confirms a first-line card title. +heuristic and no extra file reads. One parse feeds both the seed and the +positive that confirms a first-line card title. One exception keeps the card +from ever showing a seed the inspector does not: when sampler stages read +different seed inputs and the inspector's resolution names one of them for a +resolved pair (whose facts are that stage's), the card shows no seed when the +named stage's seed differs from the parser's. Only such graphs are resolved, +with the inspector's own profile. """ +import json import re from collections.abc import Mapping from .generation_params import ( PLACEHOLDERS, GenerationParamsError, + _is_sampler, extract_generation_params, ) from .inspection_response import project_graph +from .inspection_semantics import SemanticsError, get_semantics +from .prompt_pair_resolver import INSPECTION_PROFILE, resolve_prompt_pair __all__ = [ "MAX_RECORD_BYTES", @@ -73,10 +82,93 @@ def header_params(info) -> dict | None: if not graphs: return None try: - return extract_generation_params(graphs) + params = extract_generation_params(graphs) except (GenerationParamsError, RecursionError): # Defence in depth: a parser failure gives no card facts, never a 500. return None + if isinstance(params, dict) and _inspector_names_another_seed( + graphs, card_seed(params) + ): + return {**params, "seed": None} + return params + + +_SEED_INPUTS = ("seed", "noise_seed", "noise") + + +def _stage_seed(graph: Mapping, node_id: str) -> str | None: + """The seed the parser reads for one sampler node, or None when unknown. + + A literal seed input is that seed. A linked one is read by the parser + itself when it treats the node as a sampler, with every other such node + hidden from it (no ``positive`` input), so linked seeds resolve as they do + on the card; any other linked seed is unknown. + """ + node = graph.get(node_id) + if not isinstance(node, Mapping) or not isinstance(node.get("inputs"), Mapping): + return None + inputs = node["inputs"] + literal = next((inputs[k] for k in _SEED_INPUTS if k in inputs), None) + if not isinstance(literal, (list, tuple)): + # A literal needs no second parse (the cost is measured in TESTING.md). + return card_seed({"seed": literal}) + if _is_sampler(node): + only = { + key: ( + {**other, "inputs": {**other["inputs"], "positive": None}} + if key != node_id and _is_sampler(other) + else other + ) + for key, other in graph.items() + } + try: + return card_seed(extract_generation_params({"prompt": only})) + except (GenerationParamsError, RecursionError): + return None + return None + + +def _inspector_names_another_seed(graphs: dict, parsed: str | None) -> bool: + """Whether the inspector shows another stage's seed than the parser's. + + True when the prompt graph's sampler stages read different seed inputs, the + inspection resolution names one sampler for a resolved pair (the + inspector's facts are then that stage's, D19), and that stage's seed is + known and differs from ``parsed``. A seed that agrees is kept. + """ + if parsed is None: + return False + graph = graphs.get("prompt") + if not isinstance(graph, Mapping): + return False + try: + samplers = get_semantics().samplers + except SemanticsError: + return False + seeds = set() + for node in graph.values(): + if not isinstance(node, Mapping) or not isinstance(node.get("inputs"), Mapping): + continue + if not isinstance(node.get("class_type"), str): + continue + if node["class_type"] not in samplers: + continue + inputs = node["inputs"] + value = next((inputs[key] for key in _SEED_INPUTS if key in inputs), None) + seeds.add(json.dumps(value, sort_keys=True, default=str)) + if len(seeds) < 2: + return False + try: + resolution = resolve_prompt_pair( + {"prompt": dict(graph)}, profile=INSPECTION_PROFILE + ) + except RecursionError: + return True + named = resolution["sampler_id"] + if resolution["state"] != "resolved" or named is None: + return False + seed = _stage_seed(graph, named) + return seed is not None and seed != parsed def card_seed(params: dict | None) -> str | None: diff --git a/utils/inspection_semantics.py b/utils/inspection_semantics.py index 802d2f1..be0dce9 100644 --- a/utils/inspection_semantics.py +++ b/utils/inspection_semantics.py @@ -12,8 +12,10 @@ valid result. Importing this module reads nothing, and the default (ingestion) profile never imports it, so a missing or bad table can never break ingestion. An invalid table raises ``SemanticsError`` so a bad edit fails loudly instead of silently changing what the inspector resolves. The file is bounded in size and -nesting before it is validated. Every class appears in exactly one category; -classes that are not listed stay ``unsupported-node``. +nesting before it is validated. Every class appears in exactly one prompt +category; classes that are not listed stay ``unsupported-node``. ``lineage`` +(image and latent pass-through outputs for multi-stage chains) describes no +prompt, so its classes are not claimed by a category. """ import json @@ -44,6 +46,7 @@ STRATEGIES: Mapping[str, FrozenSet[str]] = MappingProxyType( "encoders": frozenset({"single", "parts-equal", "pm-compose", "flag-parts"}), "strings": frozenset({"literal", "strip-newlines", "join-multi", "concat"}), "savers": frozenset({"comfy-counter", "vhs-counter"}), + "lineage": frozenset({"continue"}), } ) # Shapes of the facts each sampler class provides (consumed by comfy-metadata.js). @@ -72,7 +75,7 @@ _CATEGORIES = frozenset( + _CLASS_CATEGORIES + _SLOT_CATEGORIES + _SET_CATEGORIES - + ("stage_inputs", "facts") + + ("lineage", "stage_inputs", "facts") ) # Input names that make an unlisted node a possible sampler stage in an ancestry # walk (``shaped``: pipes, video embeds and custom-sampler parts carry a prompt @@ -111,6 +114,7 @@ class Semantics: runtime: FrozenSet[str] savers: Mapping[str, Mapping[str, Any]] non_file_outputs: FrozenSet[str] + lineage: Mapping[Tuple[str, int], Mapping[str, Any]] stage_inputs: Mapping[str, Tuple[str, ...]] facts: Mapping[str, Any] all_classes: FrozenSet[str] @@ -225,8 +229,12 @@ def _check_selector(entry: dict, strategy: str, where: str) -> None: def _check_composite(entry: dict, strategy: str, where: str) -> None: - _fields(entry, where, frozenset({"strategy", "inputs"}), frozenset()) + # ``additive``: every part stays in effect (combine, concat), so a later + # stage that adds parts to an earlier stage's prompt keeps that prompt. + _fields(entry, where, frozenset({"strategy", "inputs"}), frozenset({"additive"})) _names(entry["inputs"], where, minimum=2) + if "additive" in entry and not isinstance(entry["additive"], bool): + raise SemanticsError(f"{where}: additive must be a boolean") def _check_saver(entry: dict, strategy: str, where: str) -> None: @@ -356,6 +364,35 @@ def _slot_category(doc: dict, category: str, owners: _Owners) -> Mapping: return MappingProxyType(result) +def _lineage(doc: dict) -> Mapping: + """``(class, slot)`` outputs whose image or latent continues one input's. + + These describe an output's image or latent, never its prompt, so they are + not prompt categories: a class listed here is not claimed, and stays + unsupported (or listed elsewhere) for text. Each output is listed once. + """ + rows = doc["lineage"] + if not isinstance(rows, list): + raise SemanticsError("category lineage must be a list") + result = {} + for index, row in enumerate(rows): + where = f"lineage[{index}]" + if not isinstance(row, dict): + raise SemanticsError(f"{where}: entry must be an object") + name = _name(row.get("class"), where, "class") + slot = _slot(row, where) + entry = { + key: value for key, value in row.items() if key not in ("class", "slot") + } + _strategy(entry, "lineage", where) + _fields(entry, where, frozenset({"strategy", "input"}), frozenset()) + _name(entry["input"], where) + if (name, slot) in result: + raise SemanticsError(f"lineage: duplicate output key {(name, slot)!r}") + result[(name, slot)] = _freeze(entry) + return MappingProxyType(result) + + def _set_category(doc: dict, category: str, owners: _Owners) -> FrozenSet[str]: rows = doc[category] if not isinstance(rows, list): @@ -452,6 +489,7 @@ def _validate(doc: Any) -> Semantics: for category in _SET_CATEGORIES: tables[category] = _set_category(doc, category, owners) return Semantics( + lineage=_lineage(doc), stage_inputs=_stage_inputs(doc), facts=_facts(doc), all_classes=owners.classes(), diff --git a/utils/prompt_pair_resolver.py b/utils/prompt_pair_resolver.py index c6e229d..3f42b0d 100644 --- a/utils/prompt_pair_resolver.py +++ b/utils/prompt_pair_resolver.py @@ -191,6 +191,18 @@ EMPTY_POSITIVE_REASON = "Positive prompt is empty" # Several sampler branches, every one resolved to the same pair (#249). IDENTICAL_BRANCHES_REASON = "Every sampler branch uses the same prompt pair" MULTISTAGE_UNATTRIBUTED_REASON = "Multistage sampler ancestry is ambiguous" +# A later stage's positive combines the earlier stages' shared prompt with more +# conditioning (a style trigger): that shared pair is the run's prompt (floor). +ADDED_CONDITIONING_REASON = "A later stage adds conditioning to the base prompt" +# Maintainer option A (2026-10-23): a PromptManager prepend or append fed +# directly by a run-time node (LoRA trigger words) is left out, never guessed; +# the text is the node's own, labelled by this source and reason (D125). A side +# is labelled when any node on its traced path left a part out. +RUNTIME_PARTS_SOURCE = "runtime-parts-omitted" +RUNTIME_PARTS_REASON = "Text added at run time, such as trigger words, is not included" +# The added-conditioning floor's positive (D126), and both labels at once. +ADDED_CONDITIONING_SOURCE = "added-conditioning" +RUNTIME_AND_ADDED_SOURCE = "runtime-parts-omitted-and-added-conditioning" _INCOMPATIBLE_SLOT = "Output slot has an incompatible type" # Before 3.2.3 a save patch overwrote every PromptManager node's saved ``text`` # with the last-run node's prompt (comfy-metadata.js ``createContext``). @@ -310,15 +322,51 @@ def _role_text(side: Any) -> Optional[str]: return side["text"] if isinstance(side, dict) else None +def _left_out(side: Any) -> tuple: + """What a side's text leaves out: the PromptManager nodes that omitted a + run-time part, and the composite whose added conditioning is not included. + + Empty for a complete text, so a partial prompt never equals a complete one. + """ + provenance = side.get("provenance") if isinstance(side, dict) else None + if not isinstance(provenance, dict): + return () + return ( + tuple(provenance.get("omitted_parts", ())), + provenance.get("added_by"), + ) + + def _outcome_key(result: Dict[str, Any]) -> tuple: - """What a reader sees of a result: state and the two role texts.""" + """What a reader sees of a result: state, the two role texts, and what + each text leaves out.""" return ( result["state"], _role_text(result["positive"]), _role_text(result["negative"]), + _left_out(result["positive"]), + _left_out(result["negative"]), ) +def _reroute_value(inputs: dict) -> Any: + """A Reroute's one input (``value``, ``input`` or ``in``), else ``None``.""" + keys = [key for key in ("value", "input", "in") if key in inputs] + return inputs[keys[0]] if len(keys) == 1 else None + + +def _parts_reason(*sides: dict) -> str: + """The run-time parts reason when a side left out a PromptManager part.""" + if any(side["provenance"]["text_source"] == RUNTIME_PARTS_SOURCE for side in sides): + return RUNTIME_PARTS_REASON + return "" + + +def _combined_positive(result: Dict[str, Any]) -> bool: + """Whether a stage failed only because its positive combines texts.""" + return result["reason_code"] == "composite" and result["positive"] is None + + def _legacy_result(result: Dict[str, Any]) -> Dict[str, Any]: """The default profile's wire: today's keys plus ``reason_code: None``.""" legacy = {key: value for key, value in result.items() if key != "node"} @@ -374,6 +422,8 @@ class _GraphResolver: self.active: set = set() self.metadata = metadata or {} self.text_sources: dict = {} + # PromptManager outputs that left out a run-time part (option A). + self.omitting: set = set() # Forced runtime selector choices (inspection); a result traced through # one is "tainted" and never memoized, since it depends on the choice. self.choices: dict = {} @@ -523,11 +573,12 @@ class _GraphResolver: if adapter.compose or adapter.storage_input: storage_text = text if adapter.compose: - before, before_path, _ = self.text( - inputs.get("prepend_text", ""), "string", depth + 1 + omitted: list = [] + before, before_path = self.part( + inputs.get("prepend_text", ""), depth, omitted ) - after, after_path, _ = self.text( - inputs.get("append_text", ""), "string", depth + 1 + after, after_path = self.part( + inputs.get("append_text", ""), depth, omitted ) self.scan( len(before) @@ -546,6 +597,8 @@ class _GraphResolver: ) ) path = before_path + path + after_path + if omitted: + self.omitting.add((node_id, slot)) elif ( name in ("StringConcatenate", "Text Concatenate") and slot == 0 @@ -615,6 +668,30 @@ class _GraphResolver: self.tainted = outer_tainted or self.tainted self.active.discard(key) + def part(self, value: Any, depth: int, omitted: list) -> Tuple[str, list]: + """A PromptManager prepend or append: traced, or left out when run time. + + Only with the semantics table (inspection), and only when the input is + a link to a node the table lists as ``runtime`` (such as LoraManager's + TriggerWord Toggle), which raises ``runtime-value`` at itself: that part + is not in the file, so it is left out and recorded in ``omitted``. + Anything else, including a run-time source further upstream or another + ``runtime-value`` node (a JoinStringMulti list), keeps its failure. + """ + try: + text, path, _ = self.text(value, "string", depth + 1) + except _Unresolved as error: + if ( + self.semantics is None + or error.code != "runtime-value" + or not _link(value) + or self.node(str(value[0]))[0] not in self.semantics.runtime + ): + raise + omitted.append(str(value[0])) + return "", [] + return text, path + def historical( self, adapter: OutputAdapter, inputs: dict, depth: int ) -> Tuple[str, list, str]: @@ -985,6 +1062,15 @@ class _GraphResolver: if guider_id is not None: # The conditioning path starts below the guider the sampler reads. provenance["guider_id"] = guider_id + omitted: list = [] + for step in path: + if (step["node_id"], step["output_slot"]) in self.omitting: + if step["node_id"] not in omitted: + omitted.append(step["node_id"]) + if omitted: + # Through encoders, concatenations and chained PromptManagers (D125). + provenance["text_source"] = RUNTIME_PARTS_SOURCE + provenance["omitted_parts"] = omitted return {"text": text, "storage_text": storage_text, "provenance": provenance} def guider(self, value: Any) -> Tuple[str, dict, Mapping, str, int]: @@ -1061,19 +1147,18 @@ class _GraphResolver: reason_code="depth-limit", ) own = self.sides(sampler_id) - if own["state"] == "unresolved": - return own - name, inputs = self.node(sampler_id) - entry = self.semantics.samplers.get(name) - if entry is None or entry["strategy"] != _DETAILER: + # An unresolved stage is final, unless its positive combines texts: it + # may then add conditioning to its earlier stages' prompt (the floor). + combined = own["state"] == "unresolved" and _combined_positive(own) + if own["state"] == "unresolved" and not combined: return own try: - upstream = self.upstream_stages( - sampler_id, inputs.get(entry["image_stage"]) - ) + upstream = self.earlier_stages(sampler_id) if any(node_id in later for node_id in upstream): raise _Unresolved("Cyclic sampler stage ancestry", "malformed") except _Unresolved as error: + if combined: + return own return _result( "unresolved", sampler_id=sampler_id, @@ -1086,6 +1171,10 @@ class _GraphResolver: later = later | {sampler_id} stages = [self.stage(node_id, later) for node_id in upstream] blocked = next((item for item in stages if item["state"] == "unresolved"), None) + if combined: + if blocked is not None: + return own + return self.added_conditioning(sampler_id, stages) or own if blocked is not None: # A stage that cannot be read cannot be compared: never pick one. return _result( @@ -1108,6 +1197,128 @@ class _GraphResolver: reason_code="multistage-differs", ) + def earlier_stages(self, sampler_id: str) -> list: + """The stages a sampler continues: a detailer's image ancestry, or the + one sampler its latent descends from through listed lineage nodes. + + The latent walk already ran in ``sides`` (its outcome is cached); a + sampler without a latent input, or whose walk found no earlier sampler, + has none. + """ + name, inputs = self.node(sampler_id) + entry = self.semantics.samplers[name] + if entry["strategy"] == _DETAILER: + return self.upstream_stages(sampler_id, inputs.get(entry["image_stage"])) + walked = self.latent_walks.get(sampler_id) + if walked is None or walked[2] is None: + return [] + return [walked[2]] + + def lineage_predecessor(self, value: Any) -> Optional[str]: + """The sampler whose output a latent input continues, or ``None``. + + Follows only the table's ``lineage`` outputs (decode, image filter, + upscale, scale, encode) and Reroutes, from the input back to a listed + sampler's output slot 0. Any other node ends the lineage: its output is + not known to continue one image or latent. At most ``max_depth`` hops; + each node is read through ``node`` (one scan charge per node). + """ + seen: set = set() + while _link(value) and len(seen) < self.max_depth: + node_id, slot = str(value[0]), value[1] + if node_id in seen: + return None + seen.add(node_id) + name, inputs = self.node(node_id) + if name in self.stage_classes: + return node_id if slot == 0 else None + if name == "Reroute" and slot == 0: + value = _reroute_value(inputs) + continue + entry = self.semantics.lineage.get((name, slot)) + if entry is None: + return None + value = inputs.get(entry["input"]) + return None + + def added_conditioning(self, sampler_id: str, stages: list) -> Optional[dict]: + """The earlier stages' shared pair when this stage only adds to it. + + This stage's positive reaches (through Reroutes and conditioning + pass-throughs) an ``additive`` composite, one of whose parts is exactly + the earlier stages' positive text, and its negative is exactly theirs: + every stage is conditioned on that prompt, the last one with more. Any + other shape, or a part that cannot be traced, is ``None``. + """ + flat: list = [] + for item in stages: + flat.extend(item["candidates"] if item["state"] == "ambiguous" else [item]) + base = flat[0] + if base["state"] != "resolved" or len({_outcome_key(i) for i in flat}) != 1: + return None + name, inputs = self.node(sampler_id) + entry = self.semantics.samplers[name] + if entry["strategy"] == "custom-advanced": + return None + conditioning = entry["conditioning"] + try: + found = self.composite_of(inputs.get(conditioning["positive"])) + if found is None: + return None + parts, depth, composite = found + texts = [self.text(part, "conditioning", depth)[0] for part in parts] + if base["positive"]["text"] not in texts: + return None + if conditioning["negative"] not in inputs: + return None + negative = self.side(inputs[conditioning["negative"]], sampler_id) + except _Unresolved: + return None + if negative["text"] != base["negative"]["text"]: + return None + # D126: the positive does not include what the later stage added. + provenance = dict(base["positive"]["provenance"]) + provenance["text_source"] = ( + RUNTIME_AND_ADDED_SOURCE + if provenance["text_source"] == RUNTIME_PARTS_SOURCE + else ADDED_CONDITIONING_SOURCE + ) + provenance["added_by"] = composite + positive = {**base["positive"], "provenance": provenance} + return _result( + "resolved", + positive, + base["negative"], + base["sampler_id"], + ADDED_CONDITIONING_REASON, + ) + + def composite_of(self, value: Any) -> Optional[Tuple[list, int]]: + """An ``additive`` composite a conditioning input reaches, or ``None``. + + Reroutes and conditioning pass-throughs (FluxGuidance and the like) are + followed; returns the composite's part values, the depth reached and + its node ID. ``text`` follows a composite only at output slot 0, so a + stage whose positive failed as ``composite`` reached it there. + """ + depth = 0 + while _link(value) and depth < self.max_depth: + node_id, slot = str(value[0]), value[1] + name, inputs = self.node(node_id) + depth += 1 + if name == "Reroute" and slot == 0: + value = _reroute_value(inputs) + continue + forward = self.semantics.conditioning.get((name, slot)) + if forward is not None and forward["strategy"] == "passthrough": + value = inputs.get(forward["input"]) + continue + composite = self.semantics.composites.get(name) + if composite is None or composite.get("additive") is not True: + return None + return [inputs.get(part) for part in composite["inputs"]], depth, node_id + return None + @staticmethod def walk_from(value: list) -> Tuple[deque, set]: """A breadth-first queue holding one start link, and its queued IDs.""" @@ -1183,7 +1394,10 @@ class _GraphResolver: if self.semantics.samplers[self.graph[node_id]["class_type"]]["strategy"] == _DETAILER ] - if not detailers: + # A sampler whose latent continues another's (hires-fix, refiner) is + # judged with it in ``stage``, like a detailer's upstream samplers. + continued = self.continued_stages(sampler_ids) if len(sampler_ids) > 1 else [] + if not detailers and not continued: return sampler_ids try: consumers = self.consumers() @@ -1200,9 +1414,36 @@ class _GraphResolver: absorbed.add(node_id) except _Unresolved: continue + for node_id in continued: + self.budget.reset(self.per_candidate_visits) + try: + if not self.reaches_output(node_id, consumers): + absorbed.add(node_id) + except _Unresolved: + continue kept = [node_id for node_id in sampler_ids if node_id not in absorbed] return kept or sampler_ids + def continued_stages(self, sampler_ids: list) -> list: + """Lineage predecessors of the non-detailer candidates, in order, once. + + A predecessor equal to its own sampler (a cycle) is left out; a walk + that cannot read a node names none. + """ + found: list = [] + for node_id in sampler_ids: + entry = self.semantics.samplers[self.graph[node_id]["class_type"]] + if entry["strategy"] == _DETAILER or entry.get("latent") is None: + continue + try: + _, inputs = self.node(node_id) + earlier = self.lineage_predecessor(inputs.get(entry["latent"])) + except _Unresolved: + continue + if earlier is not None and earlier != node_id and earlier not in found: + found.append(earlier) + return found + def file_stages(self, sampler_ids: list) -> list: """Stages not proven preview-only; all of them when every one is. @@ -1381,7 +1622,13 @@ class _GraphResolver: reason=absent_reason, ) negative = self.side(inputs[negative_name], sampler_id, guider_id, depth) - return _result("resolved", positive, negative, sampler_id) + return _result( + "resolved", + positive, + negative, + sampler_id, + _parts_reason(positive, negative), + ) except _Unresolved as error: return _result( "unresolved", @@ -1432,7 +1679,7 @@ class _GraphResolver: return raise self.unsupported("Unsupported latent ancestry", node_id) - def latent_checked(self, sampler_id: str, value: Any) -> None: + def latent_checked(self, sampler_id: str, value: Any) -> Optional[str]: """``latent_stages`` once per sampler per resolution. A candidate reusing another candidate's walk is charged its visit cost @@ -1441,26 +1688,29 @@ class _GraphResolver: out of work is never reused, since it depends on the remaining budget. """ if sampler_id in self.latent_walks: - error, cost = self.latent_walks[sampler_id] + error, cost, earlier = self.latent_walks[sampler_id] if sampler_id not in self.latent_charged: self.budget.charge(cost) self.latent_charged.add(sampler_id) else: before = self.budget.allowance + earlier = None try: - self.latent_stages(sampler_id, value) + earlier = self.latent_stages(sampler_id, value) error = None except _Unresolved as raised: if raised.code == "work-limit": raise error = raised - self.latent_walks[sampler_id] = (error, before - self.budget.allowance) + cost = before - self.budget.allowance + self.latent_walks[sampler_id] = (error, cost, earlier) self.latent_charged.add(sampler_id) if error is not None: node = dict(error.node) if error.node is not None else None raise _Unresolved(str(error), error.code, node) + return earlier - def latent_stages(self, origin: str, value: Any) -> None: + def latent_stages(self, origin: str, value: Any) -> Optional[str]: """Semantics table: is there an earlier sampler in the latent ancestry? Every link input of non-sampler nodes is walked breadth-first (encoders, @@ -1469,10 +1719,14 @@ class _GraphResolver: (VAEEncode, EmptyLatentBatch, WanImageToVideo slot 2, ...). An unlisted node with sampler-shaped inputs could itself be a stage, so it is ``unsupported-node``. Budget or depth exhaustion is never single stage. + One earlier sampler that the latent continues through ``lineage`` + nodes (``lineage_predecessor``) is returned, to be compared in + ``stage``; any other sampler found leaves the stages unattributed. """ if not _link(value): raise _Unresolved("Unknown latent ancestry", "malformed") queue, queued = self.walk_from(value) + earlier, lineage, traced = None, None, False while queue: node_id, depth = queue.popleft() if node_id == origin: @@ -1482,12 +1736,17 @@ class _GraphResolver: self.budget.spend() name, inputs = self.node(node_id) if name in self.stage_classes: - # ``multistage-differs`` is reserved for when stage texts are - # compared (PR3); until then no stage's prompt is chosen. - raise _Unresolved(MULTISTAGE_UNATTRIBUTED_REASON) + if not traced: + lineage, traced = self.lineage_predecessor(value), True + if node_id != lineage: + # Not the one continued stage: no stage's prompt is chosen. + raise _Unresolved(MULTISTAGE_UNATTRIBUTED_REASON) + earlier = node_id + continue if self.stage_shaped(name, inputs): raise self.unsupported("Unsupported latent ancestry", node_id) self.enqueue(queue, queued, inputs, depth + 1) + return earlier def anchor(self, node_id: str) -> str: seen = set() diff --git a/web/js/comfy-metadata.js b/web/js/comfy-metadata.js index c505ea7..d3d8293 100644 --- a/web/js/comfy-metadata.js +++ b/web/js/comfy-metadata.js @@ -462,7 +462,7 @@ "ControlNetApplyAdvanced", "ControlNetApplySD3", "InpaintModelConditioning", "WanImageToVideo", "ConditioningZeroOut", "CLIPTextEncode", "CLIPTextEncodeSDXL", "CLIPTextEncodeFlux", "CLIPTextEncodeSD3", "TextEncodeQwenImageEdit", "TextEncodeQwenImageEditPlus", "TextEncodeQwenImage21", "KikoTextEncode", "StringConstant", "StringConstantMultiline", - "JoinStringMulti", "PromptSearchList", "PreviewImage", "PreviewAny", "SaveImageWebsocket", + "JoinStringMulti", "PromptSearchList", "TriggerWord Toggle (LoraManager)", "PreviewImage", "PreviewAny", "SaveImageWebsocket", "Image Comparer (rgthree)", "DetailerForEach", "UltimateSDUpscale", "UltimateSDUpscaleNoUpscale", "ControlNetInpaintingAliMamaApply", "LTXVConditioning", "FluxKontextMultiReferenceLatentMethod", "Text to Conditioning", "TextInput", "DisplayText", "ClownsharKSampler_Beta", "KSampler (Efficient)", "ttN KSampler_v2", diff --git a/web/js/inspection-semantics.json b/web/js/inspection-semantics.json index 5d770d8..b08e719 100644 --- a/web/js/inspection-semantics.json +++ b/web/js/inspection-semantics.json @@ -124,8 +124,8 @@ } }, "composites": { - "ConditioningCombine": { "strategy": "combine", "inputs": ["conditioning_1", "conditioning_2"] }, - "ConditioningConcat": { "strategy": "combine", "inputs": ["conditioning_to", "conditioning_from"] }, + "ConditioningCombine": { "strategy": "combine", "inputs": ["conditioning_1", "conditioning_2"], "additive": true }, + "ConditioningConcat": { "strategy": "combine", "inputs": ["conditioning_to", "conditioning_from"], "additive": true }, "ConditioningAverage": { "strategy": "combine", "inputs": ["conditioning_to", "conditioning_from"] } }, "encoders": [ @@ -175,7 +175,7 @@ } } ], - "runtime": ["PromptSearchList"], + "runtime": ["PromptSearchList", "TriggerWord Toggle (LoraManager)"], "savers": { "SaveImage": { "strategy": "comfy-counter", @@ -215,6 +215,20 @@ } }, "non_file_outputs": ["PreviewImage", "PreviewAny", "SaveImageWebsocket", "Image Comparer (rgthree)"], + "lineage": [ + { "class": "VAEDecode", "slot": 0, "strategy": "continue", "input": "samples" }, + { "class": "VAEDecodeTiled", "slot": 0, "strategy": "continue", "input": "samples" }, + { "class": "VAEEncode", "slot": 0, "strategy": "continue", "input": "pixels" }, + { "class": "VAEEncodeTiled", "slot": 0, "strategy": "continue", "input": "pixels" }, + { "class": "ImageUpscaleWithModel", "slot": 0, "strategy": "continue", "input": "image" }, + { "class": "ImageScale", "slot": 0, "strategy": "continue", "input": "image" }, + { "class": "ImageScaleBy", "slot": 0, "strategy": "continue", "input": "image" }, + { "class": "ImageScaleToTotalPixels", "slot": 0, "strategy": "continue", "input": "image" }, + { "class": "LatentUpscale", "slot": 0, "strategy": "continue", "input": "samples" }, + { "class": "LatentUpscaleBy", "slot": 0, "strategy": "continue", "input": "samples" }, + { "class": "Image Filter", "slot": 0, "strategy": "continue", "input": "images" }, + { "class": "Image Filter", "slot": 1, "strategy": "continue", "input": "latents" } + ], "stage_inputs": { "shaped": [ "latent_image", diff --git a/web/js/workspace/file-inspector.mjs b/web/js/workspace/file-inspector.mjs index 80465ac..4b9f101 100644 --- a/web/js/workspace/file-inspector.mjs +++ b/web/js/workspace/file-inspector.mjs @@ -156,7 +156,10 @@ function generationFacts(record, listClass, noteClass) { return [facts, explanation]; } // D21: the panel badge names the strongest resolved prompt source; any other source shows no badge. -const EVIDENCE_BADGES = [['execution', 'Execution recorded'], ['graph-inferred', 'Workflow inferred'], ['embedded-parameters', 'Embedded parameters']]; +// A prompt that left out a run-time PromptManager part (D125) or a later stage's added conditioning (D126) is still +// inferred from the workflow. +const EVIDENCE_BADGES = [['execution', 'Execution recorded'], ['graph-inferred', 'Workflow inferred'], ['runtime-parts-omitted', 'Workflow inferred'], + ['added-conditioning', 'Workflow inferred'], ['runtime-parts-omitted-and-added-conditioning', 'Workflow inferred'], ['embedded-parameters', 'Embedded parameters']]; function evidenceBadge(prompts) { const sources = new Set(Object.values(prompts).filter(role => role?.status === 'resolved').map(role => role.source)); return EVIDENCE_BADGES.find(([source]) => sources.has(source))?.[1] ?? null; diff --git a/web/js/workspace/local-resolver-stages.mjs b/web/js/workspace/local-resolver-stages.mjs index 351d560..a6a9691 100644 --- a/web/js/workspace/local-resolver-stages.mjs +++ b/web/js/workspace/local-resolver-stages.mjs @@ -1,17 +1,30 @@ // Candidate selection for local-resolver.mjs (#249 local Inspect, PR L3 Task 9): ports of -// utils/prompt_pair_resolver.py `_GraphResolver` `stage`, `upstream_stages`, `final_stages`, `file_stages`, -// `non_file_outputs`, `producers_of`, `consumers`, `reaches_output`, plus `_outcome_key`, `_recipe_key` and -// `_shared_pair` (#270). Each function takes the resolver whose budgets and caches it spends, so the order of -// work, and with it every limit, is the server's. No DOM. +// utils/prompt_pair_resolver.py `_GraphResolver` `stage`, `earlier_stages`, `added_conditioning`, `composite_of`, +// `upstream_stages`, `final_stages`, `continued_stages`, `file_stages`, `non_file_outputs`, `producers_of`, +// `consumers`, `reaches_output`, `lineage_predecessor`, `latent_stages` and `part`, plus `_left_out`, `_outcome_key`, +// `_recipe_key`, `_combined_positive` and `_shared_pair` (#270). Pass-through lineage: a sampler whose latent continues +// another's through `lineage` nodes is compared with it. Each function takes the resolver whose budgets and caches it +// spends, so the order of work, and with it every limit, is the server's. No DOM. import { isDict, pyGet, pyStr } from './py-json.mjs'; -import { DETAILER, IDENTICAL_BRANCHES_REASON, Unresolved, isLink, result } from './local-resolver-support.mjs'; +import { + ADDED_CONDITIONING_REASON, ADDED_CONDITIONING_SOURCE, DETAILER, IDENTICAL_BRANCHES_REASON, + MULTISTAGE_UNATTRIBUTED_REASON, RUNTIME_AND_ADDED_SOURCE, RUNTIME_PARTS_SOURCE, Unresolved, isLink, rerouteValue, result, + slotKey, +} from './local-resolver-support.mjs'; const roleText = side => side !== null && typeof side === 'object' ? side.text : null; const storageText = side => side !== null && typeof side === 'object' ? side.storage_text : null; -/** `_outcome_key`: what a reader sees of a result, the state and the two role texts. */ -export const outcomeKey = item => JSON.stringify([item.state, roleText(item.positive), roleText(item.negative)]); +/** `_left_out`: the omitting PromptManagers and the added-by composite, so a partial text never equals a complete one. */ +function leftOut(side) { + const provenance = side !== null && typeof side === 'object' ? side.provenance : null; + if (provenance === null || typeof provenance !== 'object') return []; + return [provenance.omitted_parts ?? [], provenance.added_by ?? null]; +} +/** `_outcome_key`: what a reader sees of a result, the state, the two role texts and what each leaves out. */ +const outcomeParts = item => [item.state, roleText(item.positive), roleText(item.negative), leftOut(item.positive), leftOut(item.negative)]; +export const outcomeKey = item => JSON.stringify(outcomeParts(item)); /** `_recipe_key`: the outcome plus each side's stored recipe. */ -const recipeKey = item => JSON.stringify([item.state, roleText(item.positive), roleText(item.negative), storageText(item.positive), storageText(item.negative)]); +const recipeKey = item => JSON.stringify([...outcomeParts(item), storageText(item.positive), storageText(item.negative)]); /** `_shared_pair`: the one pair every sampler branch resolved to, or null (#270). */ export function sharedPair(candidates) { @@ -21,26 +34,29 @@ export function sharedPair(candidates) { return result('resolved', { positive: first.positive, negative: first.negative, reason: IDENTICAL_BRANCHES_REASON, candidates }); } -/** `stage`: one sampler's result; a detailer is compared with its upstream stages. */ +/** `_combined_positive`: whether a stage failed only because its positive combines texts. */ +const combinedPositive = item => item.reason_code === 'composite' && item.positive === null; + +/** `stage`: one sampler's result, compared with the stages it continues (detailer image, latent lineage). */ export function stage(resolver, samplerId, later) { if (later.size >= resolver.maxDepth) return result('unresolved', { samplerId, reason: 'Resolution depth limit reached', reasonCode: 'depth-limit' }); const own = resolver.sides(samplerId); - if (own.state === 'unresolved') return own; - const [name, inputs] = resolver.node(samplerId); - const entry = resolver.semantics.samplers.get(name); - if (entry === undefined || entry.strategy !== DETAILER) return own; + const combined = own.state === 'unresolved' && combinedPositive(own); + if (own.state === 'unresolved' && !combined) return own; let upstream; try { - upstream = upstreamStages(resolver, samplerId, pyGet(inputs, entry.image_stage)); + upstream = earlierStages(resolver, samplerId); if (upstream.some(nodeId => later.has(nodeId))) throw new Unresolved('Cyclic sampler stage ancestry', 'malformed'); } catch (error) { if (!(error instanceof Unresolved)) throw error; + if (combined) return own; return result('unresolved', { samplerId, reason: error.message, reasonCode: error.code, node: error.node }); } if (!upstream.length) return own; const deeper = new Set([...later, samplerId]); const stages = upstream.map(nodeId => stage(resolver, nodeId, deeper)); const blocked = stages.find(item => item.state === 'unresolved'); + if (combined) return blocked !== undefined ? own : addedConditioning(resolver, samplerId, stages) ?? own; // A stage that cannot be read cannot be compared: never pick one. if (blocked !== undefined) return result('unresolved', { samplerId, reason: blocked.reason, reasonCode: blocked.reason_code, node: blocked.node }); const flat = []; @@ -49,6 +65,67 @@ export function stage(resolver, samplerId, later) { return result('ambiguous', { samplerId, reason: 'Sampler stages have different prompts', candidates: flat, reasonCode: 'multistage-differs' }); } +/** `earlier_stages`: a detailer's upstream samplers, or the one sampler a latent continues (cached walk). */ +function earlierStages(resolver, samplerId) { + const [name, inputs] = resolver.node(samplerId); + const entry = resolver.semantics.samplers.get(name); + if (entry.strategy === DETAILER) return upstreamStages(resolver, samplerId, pyGet(inputs, entry.image_stage)); + const walked = resolver.latentWalks.get(samplerId); + if (walked === undefined || walked[2] === null) return []; + return [walked[2]]; +} + +/** `added_conditioning`: the earlier stages' shared pair when this stage's positive only adds to it. */ +function addedConditioning(resolver, samplerId, stages) { + const flat = []; + for (const item of stages) flat.push(...(item.state === 'ambiguous' ? item.candidates : [item])); + const base = flat[0]; + if (base.state !== 'resolved' || new Set(flat.map(outcomeKey)).size !== 1) return null; + const [name, inputs] = resolver.node(samplerId); + const entry = resolver.semantics.samplers.get(name); + if (entry.strategy === 'custom-advanced') return null; + const conditioning = entry.conditioning; + let negative, composite; + try { + const found = compositeOf(resolver, pyGet(inputs, conditioning.positive)); + if (found === null) return null; + let parts, depth; + [parts, depth, composite] = found; + const texts = parts.map(part => resolver.text(part, 'conditioning', depth)[0]); + if (!texts.includes(base.positive.text)) return null; + if (!inputs.has(conditioning.negative)) return null; + negative = resolver.side(inputs.get(conditioning.negative), samplerId); + } catch (error) { + if (!(error instanceof Unresolved)) throw error; + return null; + } + if (negative.text !== base.negative.text) return null; + // D126: the positive does not include what the later stage added. + const provenance = { ...base.positive.provenance }; + provenance.text_source = provenance.text_source === RUNTIME_PARTS_SOURCE ? RUNTIME_AND_ADDED_SOURCE : ADDED_CONDITIONING_SOURCE; + provenance.added_by = composite; + const positive = { ...base.positive, provenance }; + return result('resolved', { positive, negative: base.negative, samplerId: base.sampler_id, reason: ADDED_CONDITIONING_REASON }); +} + +/** `composite_of`: [part values, depth, node ID] of the `additive` composite a conditioning input reaches, or null. */ +function compositeOf(resolver, value) { + let depth = 0; + while (isLink(value) && depth < resolver.maxDepth) { + const nodeId = String(value[0]), slot = value[1]; + const [name, inputs] = resolver.node(nodeId); + depth += 1; + if (name === 'Reroute' && slot === 0) { value = rerouteValue(inputs); continue; } + const forward = resolver.semantics.conditioning.get(slotKey(name, slot)); + if (forward !== undefined && forward.strategy === 'passthrough') { value = pyGet(inputs, forward.input); continue; } + // `text` follows a composite only at output slot 0, so a failed `composite` positive reached it there. + const composite = resolver.semantics.composites.get(name); + if (composite === undefined || composite.additive !== true) return null; + return [composite.inputs.map(part => pyGet(inputs, part)), depth, nodeId]; + } + return null; +} + /** `upstream_stages`: samplers reached from a detailer's image input, breadth first; each node draws a visit. */ function upstreamStages(resolver, origin, value) { if (!isLink(value)) throw new Unresolved('Expected an image link', 'malformed'); @@ -72,7 +149,8 @@ const strategyOf = (resolver, nodeId) => resolver.semantics.samplers.get(resolve export function finalStages(resolver, samplerIds) { samplerIds = fileStages(resolver, samplerIds); const detailers = samplerIds.filter(nodeId => strategyOf(resolver, nodeId) === DETAILER); - if (!detailers.length) return samplerIds; + const continued = samplerIds.length > 1 ? continuedStages(resolver, samplerIds) : []; + if (!detailers.length && !continued.length) return samplerIds; let reverse; try { reverse = consumers(resolver); } catch (error) { if (!(error instanceof Unresolved)) throw error; @@ -91,10 +169,37 @@ export function finalStages(resolver, samplerIds) { if (!(error instanceof Unresolved)) throw error; } } + for (const nodeId of continued) { + resolver.budget.reset(resolver.perCandidateVisits); + try { + if (!reachesOutput(resolver, nodeId, reverse)) absorbed.add(nodeId); + } catch (error) { + if (!(error instanceof Unresolved)) throw error; + } + } const kept = samplerIds.filter(nodeId => !absorbed.has(nodeId)); return kept.length ? kept : samplerIds; } +/** `continued_stages`: lineage predecessors of the non-detailer candidates, in order, once. */ +function continuedStages(resolver, samplerIds) { + const found = []; + for (const nodeId of samplerIds) { + const entry = resolver.semantics.samplers.get(resolver.graph.get(nodeId).get('class_type')); + if (entry.strategy === DETAILER || entry.latent === undefined || entry.latent === null) continue; + let earlier; + try { + const [, inputs] = resolver.node(nodeId); + earlier = lineagePredecessor(resolver, pyGet(inputs, entry.latent)); + } catch (error) { + if (!(error instanceof Unresolved)) throw error; + continue; + } + if (earlier !== null && earlier !== nodeId && !found.includes(earlier)) found.push(earlier); + } + return found; +} + /** `file_stages`: stages not proven preview-only; all of them when every one is. */ function fileStages(resolver, samplerIds) { if (samplerIds.length < 2) return samplerIds; @@ -172,3 +277,57 @@ function reachesOutput(resolver, nodeId, reverse) { } return false; } + +/** `lineage_predecessor`: the sampler whose output a latent input continues through `lineage` nodes, or null. */ +function lineagePredecessor(resolver, value) { + const seen = new Set(); + while (isLink(value) && seen.size < resolver.maxDepth) { + const nodeId = String(value[0]), slot = value[1]; + if (seen.has(nodeId)) return null; + seen.add(nodeId); + const [name, inputs] = resolver.node(nodeId); + if (resolver.stageClasses.has(name)) return slot === 0 ? nodeId : null; + if (name === 'Reroute' && slot === 0) { value = rerouteValue(inputs); continue; } + const entry = resolver.semantics.lineage.get(slotKey(name, slot)); + if (entry === undefined) return null; + value = pyGet(inputs, entry.input); + } + return null; +} + +/** `latent_stages`: the one earlier sampler a latent continues, null for a single stage; else unattributed. */ +export function latentStages(resolver, origin, value) { + if (!isLink(value)) throw new Unresolved('Unknown latent ancestry', 'malformed'); + const start = String(value[0]), queue = [[start, 0]], queued = new Set([start]); + let earlier = null, lineage = null, traced = false; + for (let head = 0; head < queue.length; head++) { + const [nodeId, depth] = queue[head]; + if (nodeId === origin) throw new Unresolved('Cyclic latent ancestry', 'malformed'); + if (depth >= resolver.maxDepth) throw new Unresolved('Resolution depth limit reached', 'depth-limit'); + resolver.budget.spend(); + const [name, inputs] = resolver.node(nodeId); + if (resolver.stageClasses.has(name)) { + if (!traced) { lineage = lineagePredecessor(resolver, value); traced = true; } + if (nodeId !== lineage) throw new Unresolved(MULTISTAGE_UNATTRIBUTED_REASON); + earlier = nodeId; + continue; + } + if (resolver.stageShaped(name, inputs)) throw resolver.unsupported('Unsupported latent ancestry', nodeId); + resolver.enqueue(queue, queued, inputs, depth + 1); + } + return earlier; +} + +/** `part`: a PromptManager prepend or append, traced, or left out when a listed run-time node feeds it directly. */ +export function promptPart(resolver, value, depth, omitted) { + try { + const [text, path] = resolver.text(value, 'string', depth + 1); + return [text, path]; + } catch (error) { + // A listed run-time node raises at itself, so a deeper run-time source never matches here. + if (!(error instanceof Unresolved) || error.code !== 'runtime-value' || !isLink(value) || + !resolver.semantics.runtime.has(resolver.node(String(value[0]))[0])) throw error; + omitted.push(String(value[0])); + return ['', []]; + } +} diff --git a/web/js/workspace/local-resolver-support.mjs b/web/js/workspace/local-resolver-support.mjs index f180e07..2cc3aa6 100644 --- a/web/js/workspace/local-resolver-support.mjs +++ b/web/js/workspace/local-resolver-support.mjs @@ -31,6 +31,11 @@ export const RUNTIME_REASON = 'Text is decided at run time'; export const EMPTY_POSITIVE_REASON = 'Positive prompt is empty'; export const IDENTICAL_BRANCHES_REASON = 'Every sampler branch uses the same prompt pair'; export const MULTISTAGE_UNATTRIBUTED_REASON = 'Multistage sampler ancestry is ambiguous'; +export const ADDED_CONDITIONING_REASON = 'A later stage adds conditioning to the base prompt'; +export const RUNTIME_PARTS_SOURCE = 'runtime-parts-omitted'; +export const RUNTIME_PARTS_REASON = 'Text added at run time, such as trigger words, is not included'; +export const ADDED_CONDITIONING_SOURCE = 'added-conditioning'; +export const RUNTIME_AND_ADDED_SOURCE = 'runtime-parts-omitted-and-added-conditioning'; export const MALFORMED_EVIDENCE_REASON = 'Prompt evidence is malformed'; export const UNREADABLE_METADATA_REASON = 'Media metadata could not be read'; export const SEMANTICS_UNAVAILABLE_REASON = 'Inspection node semantics are unavailable'; @@ -119,6 +124,11 @@ export function isLink(value) { const [source, slot] = value; return (typeof source === 'string' || isInt(source)) && isInt(slot) && (typeof slot === 'bigint' ? slot >= 0n : slot >= 0); } +/** `_reroute_value`: a Reroute's one input (`value`, `input` or `in`), else null. */ +export function rerouteValue(inputs) { + const keys = ['value', 'input', 'in'].filter(key => inputs.has(key)); + return keys.length === 1 ? inputs.get(keys[0]) : null; +} export const nodeRef = (nodeId, classType) => ({ id: pySlice(nodeId, CLASS_NAME_LENGTH), class_type: typeof classType === 'string' ? pySlice(classType, CLASS_NAME_LENGTH) : null }); export function result(state, { positive = null, negative = null, samplerId = null, reason = '', candidates = [], reasonCode = null, node = null } = {}) { @@ -225,10 +235,20 @@ export function compileSemantics(doc) { const composites = byClass('composites'), savers = byClass('savers'); const conditioning = bySlot('conditioning'), encoders = bySlot('encoders'), strings = bySlot('strings'); const runtime = bySet('runtime'), nonFileOutputs = bySet('non_file_outputs'); + // `lineage` describes an output's image or latent, not its prompt: its classes are not claimed. + if (!Array.isArray(doc.lineage)) fail('category lineage must be a list'); + const lineage = new Map(); + for (const row of doc.lineage) { + if (!plain(row) || typeof row.class !== 'string' || !Number.isInteger(row.slot) || row.slot < 0 || row.slot > 255) fail('lineage row'); + if (row.strategy !== 'continue' || typeof row.input !== 'string' || !row.input) fail('lineage row'); + const key = slotKey(row.class, row.slot); + if (lineage.has(key)) fail('lineage: duplicate output key'); + lineage.set(key, { strategy: row.strategy, input: row.input }); + } const stageInputs = doc.stage_inputs; if (!plain(stageInputs) || !Array.isArray(stageInputs.shaped) || !Array.isArray(stageInputs.with_model)) fail('stage_inputs'); return Object.freeze({ - samplers, guiders, selectors, composites, savers, conditioning, encoders, strings, runtime, nonFileOutputs, + samplers, guiders, selectors, composites, savers, conditioning, encoders, strings, runtime, nonFileOutputs, lineage, stageInputs: { shaped: [...stageInputs.shaped], withModel: [...stageInputs.with_model] }, allClasses: new Set(owners.keys()), }); } diff --git a/web/js/workspace/local-resolver.mjs b/web/js/workspace/local-resolver.mjs index 3e2b5bb..1367fa6 100644 --- a/web/js/workspace/local-resolver.mjs +++ b/web/js/workspace/local-resolver.mjs @@ -23,7 +23,6 @@ import { MAX_JOIN_INPUTS, MAX_SUBGRAPH_DEPTH, MAX_WORKFLOW_NODES, - MULTISTAGE_UNATTRIBUTED_REASON, NO_SAMPLER_NAMES, OVERWRITTEN_PROMPT_REASON, PROFILE, @@ -39,12 +38,14 @@ import { explained, isLink, nodeRef, + RUNTIME_PARTS_REASON, + RUNTIME_PARTS_SOURCE, readPairExecution, result, sideOf, slotKey, } from './local-resolver-support.mjs'; -import { finalStages, outcomeKey, sharedPair, stage } from './local-resolver-stages.mjs'; +import { finalStages, latentStages, outcomeKey, promptPart, sharedPair, stage } from './local-resolver-stages.mjs'; import { parameters } from './local-parameters.mjs'; export { SemanticsError, compileSemantics, readPairExecution, outcomeMessage, isLink } from './local-resolver-support.mjs'; @@ -69,6 +70,7 @@ class GraphResolver { this.active = new Set(); this.metadata = metadata ?? new Map(); this.textSources = new Map(); + this.omitting = new Set(); this.choices = new Map(); this.tainted = false; this.latentWalks = new Map(); @@ -167,11 +169,13 @@ class GraphResolver { [text, path, storageText] = this.text(pyGet(inputs, adapted.inputName), 'string', depth + 1); if (adapted.compose || adapted.storageInput) storageText = text; if (adapted.compose) { - const [before, beforePath] = this.text(pyGet(inputs, 'prepend_text', ''), 'string', depth + 1); - const [after, afterPath] = this.text(pyGet(inputs, 'append_text', ''), 'string', depth + 1); + const omitted = []; + const [before, beforePath] = promptPart(this, pyGet(inputs, 'prepend_text', ''), depth, omitted); + const [after, afterPath] = promptPart(this, pyGet(inputs, 'append_text', ''), depth, omitted); this.scan(pyLen(before) + pyLen(after) + beforePath.length + path.length + afterPath.length); text = this.built(this.bounded([pyStrip(before), text, pyStrip(after)].filter(part => part).join(' '))); path = [...beforePath, ...path, ...afterPath]; + if (omitted.length) this.omitting.add(slotKey(nodeId, slot)); } } } else if ((name === 'StringConcatenate' || name === 'Text Concatenate') && slot === 0 && kind === 'string') { @@ -447,6 +451,10 @@ class GraphResolver { text_source: this.textSources.get(slotKey(origin.node_id, origin.output_slot)) ?? 'graph-inferred', }; if (guiderId !== null) provenance.guider_id = guiderId; + const omitted = []; + for (const step of path) if (this.omitting.has(slotKey(step.node_id, step.output_slot)) && !omitted.includes(step.node_id)) omitted.push(step.node_id); + // Through encoders, concatenations and chained PromptManagers (D125). + if (omitted.length) { provenance.text_source = RUNTIME_PARTS_SOURCE; provenance.omitted_parts = omitted; } return { text, storage_text: storageText, provenance }; } @@ -527,7 +535,8 @@ class GraphResolver { return result('absent', { positive, samplerId, reason: absentReason }); } negative = this.side(inputs.get(negativeName), samplerId, guiderId, depth); - return result('resolved', { positive, negative, samplerId }); + const omitted = [positive, negative].some(side => side.provenance.text_source === RUNTIME_PARTS_SOURCE); + return result('resolved', { positive, negative, samplerId, reason: omitted ? RUNTIME_PARTS_REASON : '' }); } catch (error) { if (!(error instanceof Unresolved)) throw error; return result('unresolved', { positive, negative, samplerId, reason: error.message, reasonCode: error.code, node: error.node }); @@ -543,11 +552,13 @@ class GraphResolver { } } + /** `latent_checked`: `latent_stages` once per sampler; returns the continued earlier stage, or null. */ latentChecked(samplerId, value) { - let error; + let error, earlier = null; if (this.latentWalks.has(samplerId)) { - const [walked, cost] = this.latentWalks.get(samplerId); + const [walked, cost, found] = this.latentWalks.get(samplerId); error = walked; + earlier = found; if (!this.latentCharged.has(samplerId)) { this.budget.charge(cost); this.latentCharged.add(samplerId); @@ -555,16 +566,17 @@ class GraphResolver { } else { const before = this.budget.allowance; try { - this.latentStages(samplerId, value); + earlier = latentStages(this, samplerId, value); error = null; } catch (raised) { if (!(raised instanceof Unresolved) || raised.code === 'work-limit') throw raised; error = raised; } - this.latentWalks.set(samplerId, [error, before - this.budget.allowance]); + this.latentWalks.set(samplerId, [error, before - this.budget.allowance, earlier]); this.latentCharged.add(samplerId); } if (error !== null) throw new Unresolved(error.message, error.code, error.node === null ? null : { ...error.node }); + return earlier; } enqueue(queue, queued, inputs, depth) { @@ -582,21 +594,6 @@ class GraphResolver { if (shaped.some(key => isLink(pyGet(inputs, key)))) return true; return isLink(pyGet(inputs, 'model')) && withModel.some(key => isLink(pyGet(inputs, key))); } - - latentStages(origin, value) { - if (!isLink(value)) throw new Unresolved('Unknown latent ancestry', 'malformed'); - const start = String(value[0]), queue = [[start, 0]], queued = new Set([start]); - for (let head = 0; head < queue.length; head++) { - const [nodeId, depth] = queue[head]; - if (nodeId === origin) throw new Unresolved('Cyclic latent ancestry', 'malformed'); - if (depth >= this.maxDepth) throw new Unresolved('Resolution depth limit reached', 'depth-limit'); - this.budget.spend(); - const [name, inputs] = this.node(nodeId); - if (this.stageClasses.has(name)) throw new Unresolved(MULTISTAGE_UNATTRIBUTED_REASON); - if (this.stageShaped(name, inputs)) throw this.unsupported('Unsupported latent ancestry', nodeId); - this.enqueue(queue, queued, inputs, depth + 1); - } - } } diff --git a/web/js/workspace/prompt-blocks.mjs b/web/js/workspace/prompt-blocks.mjs index 08f827a..accc5ae 100644 --- a/web/js/workspace/prompt-blocks.mjs +++ b/web/js/workspace/prompt-blocks.mjs @@ -15,6 +15,16 @@ const statuses = { ambiguous: 'Multiple possible prompts. Source could not be determined.', unresolved: 'Prompt could not be resolved.', }; +// D125 (maintainer option A): a PromptManager prepend or append that a run-time node decided (LoRA trigger words) is +// not in the file, so the shown text leaves it out and says so. D126: the conditioning a later stage combined with +// the base prompt is not in the shown text either. Each source shows its muted line under the text. +export const RUNTIME_PARTS_NOTE = 'Text added at run time, such as trigger words, is not included.'; +export const ADDED_CONDITIONING_NOTE = 'Conditioning added at a later stage is not included.'; +const SOURCE_NOTES = Object.freeze({ + 'runtime-parts-omitted': [RUNTIME_PARTS_NOTE], + 'added-conditioning': [ADDED_CONDITIONING_NOTE], + 'runtime-parts-omitted-and-added-conditioning': [RUNTIME_PARTS_NOTE, ADDED_CONDITIONING_NOTE], +}); const ROLE_LABELS = Object.freeze({positive: '+ Positive prompt', negative: '\u2212 Negative prompt'}); function el(tag, text, className) { const node = document.createElement(tag); @@ -114,6 +124,7 @@ export function mountPromptBlocks(container, {prompts, sender, parentScope, role // Production keeps a confirmed prompt keyboard-reachable for reading and selecting long text. text.tabIndex = 0; block.append(text); + for (const note of Object.hasOwn(SOURCE_NOTES, record?.source) ? SOURCE_NOTES[record.source] : []) block.append(el('p', note, 'small muted')); } else block.append(el('p', typeof record?.message === 'string' && record.message ? record.message : statuses[record?.status] || statuses.unresolved, 'prompt-text muted')); container.append(block); }