fix(inspector): pass text through unknown nodes instead of refusing them (#381) (#383)

* fix(inspector): pass text through unknown nodes instead of refusing them (#381)

The inspector refused any node class missing from the semantics table, so a
PromptManagerPair behind an rgthree Any Switch showed "Prompt uses a node the
inspector does not support". The inspection resolver (Python and browser) now
reads through unknown nodes: a text input is the text, positive/negative route
by output slot, a conditioning input is followed alone, otherwise every linked
input except core type inputs (pass_through.skip_inputs). PromptManager nodes
are authoritative; several different texts become one candidate each
("Several prompts reach the sampler"). A seeded text node with no conditioning
input is generated at run time, and a recorded PromptManager execution is not
checked against text that passed through an unknown node.

INSPECTION_RESOLVER_VERSION goes to 2; ingestion keeps the default profile.
A legacy parity gate records every committed graph whose inspection positive
matches the legacy parser's; no graph may leave it.

* fix(inspector): keep recorded pair text, string-only seed rule, role inputs and unique candidates (#381)

Review of the pass-through: a walk through an unknown node never overrides a
PromptManagerPair's execution record (any outcome but work-limit is
unverifiable while the record is checked); the run-time seed rule reads only
string outputs; a node with positive/negative inputs follows only the role of
the requested slot, nothing when it is unlinked; one text offered twice is one
candidate.

* fix(inspector): anchor on the saver that wrote the file and resolve stages on shared links (#381)

An inspected file's name now anchors the inspection on the one saver whose
filename_prefix (literal or traced) makes the file's stem <prefix>_<digits>[_];
the samplers in that saver's image ancestry are the candidates. No match,
several matches or an unreadable walk anchor nothing, so the file stays
"several possible prompts". In a latent walk, an earlier sampler reading the
same conditioning links as the later one is the same prompt, not an
unattributed stage. Python and the browser resolver behave the same; the
legacy parity gate states each graph that differs from legacy on purpose.

* fix(inspector): skip only plain first stages on shared links; an unfinished prefix scan anchors nothing (#381)

Review of the saver anchor: a same-links earlier stage is skipped only when it
is not a detailer, sets no prompt override and continues no other sampler, so
an earlier prompt or override behind it is never hidden. A work limit while
tracing a saver prefix ends the match scan without an anchor instead of
counting that saver as no match.

* test(inspector): cover every plain-first-stage outcome on both resolvers (#381)

The frontend coverage gate found local-resolver-stages.mjs branches at 92.44%
(< 93). Each way an earlier stage stops being a plain first stage (no latent,
literal, missing or cyclic latent, a sampler-shaped node, a detailer) is now a
resolver test and an anchor-first-stage-* parity vector.
This commit is contained in:
Vito
2026-10-27 16:56:37 +00:00
committed by GitHub
parent 0652beba90
commit a0fc5171e3
26 changed files with 2233 additions and 89 deletions
+46 -2
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@@ -745,11 +745,55 @@ with a literal true `strip_newlines` is `replace("\n", "").strip()`;
(`N` = `inputcount`) after the literal delimiter unless missing or exactly `""`, and
ignores later inputs. A linked setting is `unsupported-node`; a list output
(`return_list` true or linked) and `PromptSearchList` are `runtime-value` ("Text is
decided at run time"), never one list item. Unverified text nodes (LoRAfromText,
RegexReplace, XYZPrompt, ImpactWildcardProcessor) stay `unsupported-node`. Every
decided at run time"), never one list item. Every
intermediate text is length-checked and charged to the scanned-character budget. If
the table cannot be loaded, graph inspection is `unresolved` ("Inspection node
semantics are unavailable") and ingestion is unaffected, because it never imports the table.
Unknown nodes pass through (#381, maintainer-approved 2026-10-27; no per-node
inventory): an output whose class the table, its `facts`, `lineage` and the code's
adapters never name is read through, not refused. A `text` input is its text (the
legacy encoder rule, so RegexReplace or LoRAfromText show their input text), except
that a string output of a node with a seed input (`seed`, `noise_seed`,
`sampling_mode.seed`) and no linked `conditioning`/`positive`/`negative` input is
generated at run time (a language model such as TextGenerate, a wildcard):
`runtime-value` naming it. Else, at output slot 0 or 1 of a node with a `positive` or
`negative` input, only `positive` (slot 1, `negative`) is followed, nothing when it
is not linked; else a linked `conditioning` alone; else every linked input except
the table's `pass_through.skip_inputs` (core type inputs: model, clip, vae, image,
latent, ...), each traced with kind `any`. A followed input with no text adds
nothing; limits and selector choices propagate; another failure (`runtime-value`,
`composite`, `malformed`) blocks, unless a PromptManager node was reached: this
repository's own nodes are authoritative, and then only their texts count. One
distinct text resolves; several make the sampler `ambiguous` "Several prompts reach
the sampler" with one candidate per distinct outcome, in input order (at most 32,
else `work-limit`). A PromptManagerPair's execution record is what ran: while its
inputs are checked against it, a walk through an unknown node that fails, diverges
or passes text through is unverifiable and never overrides the record. No text
at all is `unsupported-node` naming the outermost unknown node. An unlisted output
of a listed class (a sampler, a loader, a lineage node) stays `unsupported-node`, so
the walk never reads another stage's prompt. `INSPECTION_RESOLVER_VERSION` is 2 for
this rule; ingestion keeps the default profile (`RESOLVER_VERSION` 1). The legacy
parity gate (`tests/test_legacy_parity_gate.py`) records, per corpus (the
generation-params vectors, the inspection parity fixtures, the local resolver golden
and selection cases, the unknown-node shapes in `tests/unknown_node_graphs.py`),
every graph whose inspection positive equals the legacy parser's; a graph may join
that list (`python3 -m tests.test_legacy_parity_gate --write`), never leave it. A graph
may read differently from legacy only when `LEGACY_WRONG` there states why (legacy's
first-sampler pick on a branch the file name identifies).
Saver anchoring (#381): an inspected file's name (`path.name` on the server, the chosen
file's name locally) anchors an unanchored inspection on the one node whose
`filename_prefix` (literal, or traced as a string) has a last path part that makes the
file's stem `<prefix>_<digits>` with an optional trailing `_`. That node's linked inputs
are walked like a detailer's image ancestry, through any image node, and the listed
samplers found are the candidates. No match, several matches, a walk that fails or no
sampler found means no anchor: nothing is guessed and the file stays "several possible
prompts". Ingestion ignores file names. Shared-conditioning stages: in a sampler's
latent walk, an earlier sampler reading the very same conditioning links (positive and
negative, or a guider; compared by node ID text and slot) is the same prompt, not an
unattributed stage, when it is a plain first stage: not a detailer, no prompt override
set, and no listed sampler in its own latent ancestry (else it stays unattributed) (`tests/test_resolver_saver_anchor.py`, shapes in
`tests/saver_anchor_graphs.py` from the maintainer's `gpu_unlock_bench`, dataset and
ANIMA runs; browser parity through the `anchor-*` cases, which carry `__file_name`).
`tools/inspection_corpus.py --root DIR --out JSONL [--workers N] [--baseline JSONL]
[--summary TXT] [--code TREE]` measures a media folder read-only against the #240
+2 -1
View File
@@ -129,8 +129,9 @@ def inspect_current_file(
profile = (
PREVIEW_INSPECTION_PROFILE if _in_host_temp(path) else INSPECTION_PROFILE
)
# The file name anchors on the saver that wrote it (#381).
evidence = inspect_prompt_evidence(
inspection.metadata, role_saved, profile=profile
inspection.metadata, role_saved, profile=profile, file_name=path.name
)
return {
"file": {
+107
View File
@@ -0,0 +1,107 @@
{
"generation_params": [
"case:basic",
"case:shared-prompt-pipeline",
"tests/fixtures/inspection_parity/f02.png",
"tests/fixtures/inspection_parity/f03.png",
"tests/fixtures/inspection_parity/f06c.png",
"tests/fixtures/inspection_parity/f06e.png",
"tests/fixtures/inspection_parity/f07a.png",
"tests/fixtures/inspection_parity/f07b.png",
"tests/fixtures/inspection_parity/f08.png",
"tests/fixtures/inspection_parity/f09.png",
"tests/fixtures/inspection_parity/f10.png",
"tests/fixtures/inspection_parity/f11.png",
"tests/fixtures/inspection_parity/f15.png",
"tests/fixtures/inspection_parity/f16.png",
"tests/fixtures/inspection_parity/f23.png"
],
"inspection_parity": [
"f02",
"f03",
"f06c",
"f06e",
"f07a",
"f07b",
"f08",
"f09",
"f10",
"f11",
"f14",
"f15",
"f16",
"f23"
],
"local_resolver": [
"anchor-first-stage-no-latent",
"anchor-same-links",
"anchor-same-links-unanchored",
"built-chars",
"class-type-missing",
"class-type-number",
"combine-equal",
"controlnet-slot1",
"custom-cfg",
"duplicate-key",
"encode",
"int-id",
"latent-encode",
"overwritten-bad-workflow",
"pair-execution",
"pair-execution-bad-json",
"pair-execution-mismatch",
"pair-execution-negative-changed",
"pair-execution-other-node",
"pair-execution-truncated",
"pair-execution-two-records",
"pair-execution-version-float",
"pair-execution-version-true",
"pair-graph",
"pass-through-unknown-role-inputs",
"passthrough",
"prompt-and-parameters",
"prompt-manager",
"select-detailer-chain-same",
"select-detailer-no-sampler-upstream",
"select-detailer-output-walk-exhausted",
"select-detailer-same-prompt",
"select-edge-hires-fix-denoised-slot",
"select-edge-hires-fix-lineage-cycle",
"select-edge-hires-fix-two-refiners",
"select-flux-concat",
"select-flux-reroute-input",
"select-flux-three-stage",
"select-hires-fix",
"select-hires-fix-both-saved",
"select-hires-fix-reroute",
"select-hires-fix-unlisted",
"select-multistage-latent",
"select-preview-dropped",
"select-preview-through-bad-node",
"select-runtime-flux-other-full-prompt",
"select-runtime-flux-trigger",
"select-runtime-search-list-append",
"select-runtime-through-chained",
"select-runtime-through-concat",
"select-runtime-through-text-encode",
"select-runtime-traced-prepend",
"select-runtime-trigger-append-single",
"select-runtime-trigger-pair",
"select-runtime-trigger-prepend",
"select-three-identical-one-advanced",
"select-two-identical",
"select-unconsumed-stage-kept",
"several-samplers",
"smz-false",
"text-at-limit",
"unknown-encoder",
"workflow-type-dict",
"workflow-type-in-subgraph",
"workflow-type-list",
"workflow-type-without-id",
"zeroed"
],
"unknown_nodes": [
"unknown-role-inputs"
]
}
File diff suppressed because one or more lines are too long
+3 -3
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@@ -40,7 +40,7 @@ const semantics = compileSemantics(JSON.parse(fs.readFileSync(path.join(here, '.
const { extractGenerationFacts } = require(path.join(here, '..', '..', '..', 'web', 'js', 'comfy-metadata.js'));
/** The local evidence for one set of record texts. */
const resolved = records => ({ evidence: resolveLocalEvidence(records, semantics) });
const resolved = (records, fileName = null) => ({ evidence: resolveLocalEvidence(records, semantics, fileName) });
/** The local wire's evidence and six facts for one read (no legacy fill, as in the vectors' own harness). */
function localPayload(read, file, classification) {
@@ -59,14 +59,14 @@ const output = {};
for (const entry of JSON.parse(Buffer.concat(chunks).toString('utf8'))) {
const { name } = entry;
if (entry.mode === 'resolve') {
if (entry.records !== undefined) { output[name] = resolved(entry.records); continue; }
if (entry.records !== undefined) { output[name] = resolved(entry.records, entry.fileName ?? null); continue; }
const blob = await fs.openAsBlob(entry.path);
const { classification, result } = await readLocalFile(blob, { pngMetadata });
const read = classification === null ? null : toInspectionRead(classification, result).read;
if (classification === null) { output[name] = { unreadable: true }; continue; }
// The evidence is the local wire's own (buildLocalPayload), and it equals resolveLocalEvidence of the records.
const local = localPayload(result, { name: path.basename(entry.path), size: blob.size }, classification);
const direct = read === null ? unreadableEvidence() : resolved(read.records).evidence;
const direct = read === null ? unreadableEvidence() : resolved(read.records, path.basename(entry.path)).evidence;
if (JSON.stringify(direct) !== JSON.stringify(local.evidence)) throw new Error(`${name}: the wire's roles are not the resolver's`);
output[name] = read === null ? { unreadable: true, ...local } : local;
continue;
+3 -1
View File
@@ -155,7 +155,9 @@ test('committed server answers equal the local evidence', () => {
value !== null && typeof value === 'object' ? Object.fromEntries(Object.keys(value).sort().map(key => [key, canonical(value[key])])) : value;
let compared = 0;
for (const {name, records, evidence} of vectors) {
assert.deepEqual(canonical(resolver.resolveLocalEvidence(records, semantics)), canonical(evidence), name);
// A case may name the inspected file (`__file_name`, #381 saver anchoring); it is no record.
const {__file_name: fileName = null, ...roles} = records;
assert.deepEqual(canonical(resolver.resolveLocalEvidence(roles, semantics, fileName)), canonical(evidence), name);
compared++;
}
assert.ok(compared > 280, `compared ${compared}`);
+62 -2
View File
@@ -26,6 +26,8 @@ VECTORS_PATH = (
/ "local-inspect"
/ "resolver-vectors.json"
)
# A case may name the inspected file (#381 saver anchoring); it is no record.
FILE_NAME = "__file_name"
# Committed record sets stay small; the large bound cases are built at test time.
MAX_VECTOR_CHARS = 20_000
COMMITTED_FUZZ = (0, 60)
@@ -906,6 +908,60 @@ def golden_cases():
},
),
)
# #381: unknown nodes between the prompt and the sampler pass through.
try:
from tests import unknown_node_graphs
except ImportError: # pragma: no cover - discover -s tests puts tests/ first
import unknown_node_graphs
for name, graph in unknown_node_graphs.shapes().items():
add(f"pass-through-{name}", graph)
for name, records in {
**unknown_node_graphs.recorded_shapes(),
**unknown_node_graphs.review_shapes(),
}.items():
cases[f"pass-through-{name}"] = records
try:
from tests import saver_anchor_graphs as anchor
except ImportError: # pragma: no cover - discover -s tests puts tests/ first
import saver_anchor_graphs as anchor
for name, graph, file_name in [
("branch-3", anchor.branch_bench(), "s45_branch_3_00002_.png"),
("branch-unanchored", anchor.branch_bench(), None),
("branch-no-match", anchor.branch_bench(), "photo_00001_.png"),
("branch-linked", anchor.linked_prefix_bench(), "s45_branch_2_00007_.png"),
(
"branch-unknown-saver",
anchor.branch_bench(saver="VendorSaveImage"),
"s45_branch_4_00001.webp",
),
("shared-prefix", anchor.shared_prefix(), "IMG_GEN_00371_.png"),
("same-links", anchor.two_stage_same_conditioning(), "final_00003_.png"),
("same-links-unanchored", anchor.two_stage_same_conditioning(), None),
(
"other-links",
anchor.two_stage_same_conditioning(["91", 0]),
"final_00003_.png",
),
("hidden-earlier", anchor.hidden_earlier_prompt(), "out_00001_.png"),
(
"hidden-override",
anchor.hidden_earlier_prompt(override=True),
"out_00001_.png",
),
] + [
(f"first-stage-{kind}", anchor.first_stage_variant(kind), "final_00003_.png")
for kind in (
"no-latent",
"literal-latent",
"missing-latent",
"cyclic-latent",
"stage-shaped",
"detailer",
)
]:
cases[f"anchor-{name}"] = {"prompt": _dump(graph)}
if file_name is not None:
cases[f"anchor-{name}"][FILE_NAME] = file_name
cases["parameters-only"] = {
"parameters": "a fox\nNegative prompt: blur\nSteps: 20, Sampler: euler"
}
@@ -1059,7 +1115,8 @@ def boundary_cases():
["7", 0],
{
"\U0001f600"
* 70: {"class_type": long_name, "inputs": {"text": "x"}},
# No text and no links: still named, not passed through (#381).
* 70: {"class_type": long_name, "inputs": {"seed": 1}},
"7": _encode("b"),
},
)
@@ -1387,7 +1444,10 @@ def committed_vectors():
"name": name,
"records": records,
"evidence": inspect_prompt_evidence(
records, None, profile=INSPECTION_PROFILE
{key: value for key, value in records.items() if key != FILE_NAME},
None,
profile=INSPECTION_PROFILE,
file_name=records.get(FILE_NAME),
),
}
for name, records in cases.items()
+216
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@@ -0,0 +1,216 @@
"""Synthetic graphs for saver anchoring and shared-conditioning stages (#381).
``branch_bench`` reproduces the maintainer's ``gpu_unlock_bench`` run: four
KSampler branches with different prompts, each saved by its own SaveImage whose
literal prefix names the branch (``bench/run/s45_branch_N``). ``shared_prefix``
is the dataset run's shape: every branch's saver uses one prefix, so the file
name cannot name the branch. ``two_stage_same_conditioning`` reproduces the
ANIMA run: a hires stage whose latent passes an unlisted node and reads the
same positive and negative links as the first stage. Texts are neutral.
"""
BRANCH_TEXTS = (
"a knit beanie on a wooden table",
"an old fishing boat at dawn",
"a red vintage car in the rain",
"a cozy library with tall shelves",
)
NEGATIVE = "blurry, lowres"
def _encode(text):
return {"class_type": "CLIPTextEncode", "inputs": {"text": text, "clip": ["1", 1]}}
def _ksampler(positive, negative, latent, denoise=1.0):
return {
"class_type": "KSampler",
"inputs": {
"seed": 1,
"steps": 20,
"cfg": 7.0,
"sampler_name": "euler",
"scheduler": "normal",
"denoise": denoise,
"model": ["1", 0],
"positive": positive,
"negative": negative,
"latent_image": latent,
},
}
def _base():
return {
"1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "m"}},
"2": {"class_type": "EmptyLatentImage", "inputs": {"width": 64}},
"3": _encode(NEGATIVE),
}
def branch_bench(prefixes=None, saver="SaveImage"):
"""Four branches; ``prefixes`` replaces each saver's ``filename_prefix``."""
prefixes = prefixes or [
f"bench/run/s45_branch_{index}" for index in range(1, len(BRANCH_TEXTS) + 1)
]
graph = _base()
for index, text in enumerate(BRANCH_TEXTS, start=1):
base = index * 10
graph[str(base)] = _encode(text)
graph[str(base + 1)] = _ksampler([str(base), 0], ["3", 0], ["2", 0])
graph[str(base + 2)] = {
"class_type": "VAEDecode",
"inputs": {"samples": [str(base + 1), 0], "vae": ["1", 2]},
}
graph[str(base + 3)] = {
"class_type": saver,
"inputs": {
"filename_prefix": prefixes[index - 1],
"images": [str(base + 2), 0],
},
}
return graph
def linked_prefix_bench():
"""The branch run with each prefix coming from a PrimitiveString."""
graph = branch_bench(prefixes=[["90", 0], ["91", 0], ["92", 0], ["93", 0]])
for index in range(4):
graph[str(90 + index)] = {
"class_type": "PrimitiveString",
"inputs": {"value": f"bench/run/s45_branch_{index + 1}"},
}
return graph
def shared_prefix():
"""Every branch saved with one prefix: the file name names no branch."""
return branch_bench(prefixes=["dataset/IMG_GEN"] * len(BRANCH_TEXTS))
def two_stage_same_conditioning(second_positive=None):
"""Base and hires stage on the same links; the hires latent passes an
unlisted node (``VendorGpuCleaner``), so the stages' lineage is unknown."""
graph = _base()
graph["90"] = _encode(BRANCH_TEXTS[0])
graph["63"] = _ksampler(["90", 0], ["3", 0], ["2", 0])
graph["30"] = {
"class_type": "VAEDecode",
"inputs": {"samples": ["63", 0], "vae": ["1", 2]},
}
graph["98"] = {
"class_type": "SaveImage",
"inputs": {"filename_prefix": "draft", "images": ["30", 0]},
}
graph["110"] = {"class_type": "VendorGpuCleaner", "inputs": {"anything": ["63", 0]}}
graph["108"] = {
"class_type": "LatentUpscaleBy",
"inputs": {
"upscale_method": "nearest-exact",
"scale_by": 1.2,
"samples": ["110", 0],
},
}
graph["114"] = _ksampler(second_positive or ["90", 0], ["3", 0], ["108", 0], 0.5)
graph["113"] = {
"class_type": "VAEDecode",
"inputs": {"samples": ["114", 0], "vae": ["1", 2]},
}
graph["115"] = {
"class_type": "VendorGpuCleaner",
"inputs": {"anything": ["113", 0]},
}
graph["107"] = {
"class_type": "SaveImage",
"inputs": {"filename_prefix": "final", "images": ["115", 0]},
}
if second_positive is not None:
graph["91"] = _encode(BRANCH_TEXTS[1])
return graph
def hidden_earlier_prompt(override=False):
"""Review shape: the skipped same-links stage continues a different prompt.
10 (cat) -> 11 (dog) -> unlisted LatentBlend -> 13 (dog, same links as 11)
-> VAEDecode -> SaveImage ``out``. With ``override``, 11 is a
``KSampler (Efficient)`` with a linked ``script``.
"""
graph = _base()
graph["5"] = _encode("cat X")
graph["6"] = _encode("dog Y")
graph["10"] = _ksampler(["5", 0], ["3", 0], ["2", 0])
graph["11"] = _ksampler(["6", 0], ["3", 0], ["10", 0])
if override:
graph["11"] = _ksampler(["6", 0], ["3", 0], ["2", 0])
graph["11"]["class_type"] = "KSampler (Efficient)"
graph["11"]["inputs"]["script"] = ["40", 0]
graph["40"] = {"class_type": "XY Plot", "inputs": {"grid_spacing": 0}}
graph["12"] = {
"class_type": "LatentBlend",
"inputs": {"samples1": ["11", 0], "samples2": ["2", 0], "blend_factor": 0.5},
}
graph["13"] = _ksampler(["6", 0], ["3", 0], ["12", 0], 0.5)
graph["14"] = {
"class_type": "VAEDecode",
"inputs": {"samples": ["13", 0], "vae": ["1", 2]},
}
graph["15"] = {
"class_type": "SaveImage",
"inputs": {"filename_prefix": "out", "images": ["14", 0]},
}
return graph
def deep_prefixes(chain):
"""Review shape: two branches whose savers both trace the prefix ``dup``.
Saver A's prefix runs through ``chain`` DisplayText nodes; saver B's
through one more, so a short visit allowance can finish only one trace.
"""
graph = branch_bench(prefixes=[["p0", 0], ["q", 0], "x_1", "x_2"])
graph["pz"] = {"class_type": "StringConstant", "inputs": {"string": "dup"}}
previous = "pz"
for index in range(chain - 1, -1, -1):
graph[f"p{index}"] = {
"class_type": "DisplayText",
"inputs": {"text": [previous, 0]},
}
previous = f"p{index}"
graph["q"] = {"class_type": "DisplayText", "inputs": {"text": ["p0", 0]}}
return graph
def first_stage_variant(kind):
"""``two_stage_same_conditioning`` whose first stage (63) is not plain.
``no-latent`` drops its latent input (still plain); ``literal-latent``,
``missing-latent``, ``cyclic-latent``, ``stage-shaped`` and ``detailer``
each make it something other than a plain first stage, so the later
stage stays unattributed.
"""
graph = two_stage_same_conditioning()
inputs = graph["63"]["inputs"]
if kind == "no-latent":
del inputs["latent_image"]
elif kind == "literal-latent":
inputs["latent_image"] = "latent"
elif kind == "missing-latent":
inputs["latent_image"] = ["999", 0]
elif kind == "cyclic-latent":
graph["70"] = {"class_type": "VendorLatentOp", "inputs": {"samples": ["63", 0]}}
inputs["latent_image"] = ["70", 0]
elif kind == "stage-shaped":
graph["70"] = {
"class_type": "VendorSampler",
"inputs": {
"model": ["1", 0],
"positive": ["90", 0],
"latent_image": ["2", 0],
},
}
inputs["latent_image"] = ["70", 0]
elif kind == "detailer":
graph["63"]["class_type"] = "FaceDetailer"
inputs["image"] = ["30", 0]
return graph
+3 -2
View File
@@ -190,7 +190,8 @@ class TestPromptInspector(ImageAPITestCase):
"inputs": {"positive": ["5", 0], "negative": ["2", 0]},
}
else:
source["1"]["class_type"] = "UnknownEncoder"
# No text and no links: nothing passes through it (#381).
source["1"] = {"class_type": "UnknownEncoder", "inputs": {"seed": 1}}
png(
path,
prompt=source,
@@ -215,7 +216,7 @@ class TestPromptInspector(ImageAPITestCase):
result["prompts"]["negative"], self.side("", "embedded-parameters")
)
source = graph()
source["2"]["class_type"] = "UnknownEncoder"
source["2"] = {"class_type": "UnknownEncoder", "inputs": {"seed": 1}}
png(path, prompt=source)
_, result = await self.inspect()
self.assertEqual(result["prompts"]["positive"], self.side("portrait"))
+13
View File
@@ -59,6 +59,7 @@ def _minimal():
{"class": "VAEEncode", "slot": 0, "strategy": "continue", "input": "pixels"}
],
"stage_inputs": {"shaped": ["positive"], "with_model": ["samples"]},
"pass_through": {"skip_inputs": ["clip"]},
"facts": {
"configuration_outputs": {},
"model_outputs": {},
@@ -690,6 +691,18 @@ class ValidationTest(_TableCase):
(lambda d: d["stage_inputs"].update(shaped="pipe"), "input name"),
(lambda d: d["stage_inputs"].update(with_model=["positive"]), "both"),
(lambda d: d["stage_inputs"].update(shaped=["model"]), "model"),
(lambda d: d.pop("pass_through"), "category"),
(lambda d: d["pass_through"].update(extra=["x"]), "pass_through"),
(lambda d: d["pass_through"].update(skip_inputs="clip"), "input name"),
(lambda d: d["pass_through"].update(skip_inputs=[]), "input name"),
(
lambda d: d["pass_through"].update(skip_inputs=["clip", "clip"]),
"repeated",
),
(
lambda d: d["pass_through"].update(skip_inputs=["conditioning"]),
"carries text",
),
(
lambda d: d["facts"]["configuration_outputs"].update(
X={"kind": "sigmas", "fields": ["steps"], "type_fields": []}
+187
View File
@@ -0,0 +1,187 @@
"""Legacy parity gate for the inspection resolver (#381, the PR #170 floor).
The legacy parser (``utils.generation_params``, the port of the browser's
``extractGenerationParams``) is the floor: a graph whose positive prompt it
found, and that the inspection resolver resolved to the same text, must keep
resolving to that text. ``legacy-agreement.json`` records those graphs per
corpus: the generation-params vectors, the inspection parity fixtures, the
local resolver golden and selection cases, and the unknown-node shapes of
#381. A graph may join the list, never leave it; regenerate with::
python3 -m tests.test_legacy_parity_gate --write
"""
import argparse
import json
import unittest
from pathlib import Path
from utils import prompt_pair_resolver as resolver
from utils.generation_params import (
GenerationParamsError,
extract_generation_params,
parse_js_json,
)
try:
from tests import inspection_parity as parity
from tests import local_resolver_cases as cases
from tests import local_resolver_selection_cases as selection
from tests import unknown_node_graphs as unknown
except ImportError: # discovered with ``-s tests``
import inspection_parity as parity
import local_resolver_cases as cases
import local_resolver_selection_cases as selection
import unknown_node_graphs as unknown
HERE = Path(__file__).resolve().parent
AGREEMENT_PATH = HERE / "fixtures" / "local-inspect" / "legacy-agreement.json"
VECTORS_PATH = HERE / "fixtures" / "generation_params" / "vectors.json"
NOT_FOUND = "No prompt found"
def _parsed(value):
return parse_js_json(value) if isinstance(value, str) else value
def corpora() -> dict:
"""Corpus name to ``{case name: (prompt graph, workflow or None[, file])}``."""
vectors = json.loads(VECTORS_PATH.read_text(encoding="utf-8"))
named = {**cases.golden_cases(), **selection.selection_cases()}
return {
"generation_params": {
item["name"]: (_parsed(item["prompt"]), _parsed(item.get("workflow")))
for item in vectors
},
"inspection_parity": {
name: (parity.build(name)["prompt"], parity.build(name)["workflow"])
for name in parity.COMMITTED
},
"local_resolver": {
name: (
_parsed(records["prompt"]),
_parsed(records.get("workflow")),
records.get(cases.FILE_NAME),
)
for name, records in named.items()
if "prompt" in records
},
"unknown_nodes": {
name: (graph, None) for name, graph in unknown.shapes().items()
},
}
def legacy_positive(graph, workflow):
"""The positive prompt the legacy parser found, or ``None``."""
try:
found = extract_generation_params({"prompt": graph, "workflow": workflow})
except GenerationParamsError:
return None
text = found["positivePrompt"]
return None if text == NOT_FOUND else text
def inspected(graph, workflow=None, file_name=None) -> dict:
"""The inspection resolver's answer, anchored by ``file_name`` when given."""
metadata = {"prompt": graph}
if workflow is not None:
metadata["workflow"] = workflow
return resolver.resolve_prompt_pair(
metadata, profile=resolver.INSPECTION_PROFILE, file_name=file_name
)
# Graphs where the legacy parser's positive is wrong and the inspector's
# differs on purpose: (corpus, case) -> (the inspector's positive, why).
LEGACY_WRONG = {
("local_resolver", "anchor-branch-3"): (
"a red vintage car in the rain",
"legacy shows the first sampler's prompt for every branch; the file "
"name s45_branch_3_00002_ names branch 3's saver (gpu_unlock_bench)",
),
("local_resolver", "anchor-branch-linked"): (
"an old fishing boat at dawn",
"legacy shows branch 1; the traced prefix names branch 2's saver",
),
("local_resolver", "anchor-branch-unknown-saver"): (
"a cozy library with tall shelves",
"legacy shows branch 1; the file name names branch 4's saver",
),
}
def agreeing(graphs: dict) -> list:
"""Names whose inspection positive equals the legacy parser's, sorted."""
names = []
for name, case in graphs.items():
graph, workflow = case[0], case[1]
if not isinstance(graph, dict):
continue
expected = legacy_positive(graph, workflow)
if expected is None:
continue
result = inspected(*case)
positive = result["positive"]
if (
result["state"] == "resolved"
and isinstance(positive, dict)
and positive["text"] == expected
):
names.append(name)
return sorted(names)
class LegacyParityGateTest(unittest.TestCase):
def test_every_legacy_difference_is_stated(self):
"""A graph may read differently from legacy only with a stated reason."""
all_graphs = corpora()
for (corpus, name), (expected, why) in LEGACY_WRONG.items():
with self.subTest(case=name, why=why):
case = all_graphs[corpus][name]
legacy = legacy_positive(case[0], case[1])
self.assertIsNotNone(legacy)
result = inspected(*case)
positive = result["positive"]
text = positive["text"] if isinstance(positive, dict) else None
if result["state"] != "resolved":
text = None
self.assertEqual(text, expected)
self.assertNotEqual(text, legacy)
def test_no_graph_leaves_the_legacy_agreement(self):
recorded = json.loads(AGREEMENT_PATH.read_text(encoding="utf-8"))
current = {name: agreeing(graphs) for name, graphs in corpora().items()}
self.assertEqual(set(recorded), set(current))
for corpus, names in recorded.items():
with self.subTest(corpus=corpus):
lost = sorted(set(names) - set(current[corpus]))
self.assertEqual(lost, [], "these graphs no longer match legacy")
def test_every_unknown_node_shape_legacy_reads_still_agrees(self):
graphs = corpora()["unknown_nodes"]
legacy = {name for name, pair in graphs.items() if legacy_positive(*pair)}
self.assertLessEqual(legacy, set(agreeing(graphs)))
def test_the_reported_graph_reads_better_than_legacy(self):
# Legacy found no positive here (cf0cef3 showed the positive text as
# the negative); the floor is met, and the inspector now reads it.
graph = unknown.any_switch_graph()
self.assertIsNone(legacy_positive(graph, None))
result = resolver.resolve_prompt_pair(
{"prompt": graph}, profile=resolver.INSPECTION_PROFILE
)
self.assertEqual(result["positive"]["text"], unknown.POSITIVE)
def main():
parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
parser.add_argument("--write", action="store_true", help="record the agreement")
if parser.parse_args().write:
current = {name: agreeing(graphs) for name, graphs in corpora().items()}
text = json.dumps(current, indent=1, sort_keys=True, ensure_ascii=False)
AGREEMENT_PATH.write_text(text + "\n", encoding="utf-8", newline="\n")
if __name__ == "__main__":
main()
+21 -6
View File
@@ -1118,8 +1118,17 @@ class LocalProjectionParityTests(unittest.TestCase):
self.assertTrue({"parsed", "malformed", "limited"} <= seen)
def _server_evidence(records):
return inspect_prompt_evidence(records, None, profile=INSPECTION_PROFILE)
def _server_evidence(records, file_name=None):
return inspect_prompt_evidence(
records, None, profile=INSPECTION_PROFILE, file_name=file_name
)
FILE_NAME = resolver_cases.FILE_NAME
def _records(case):
return {key: value for key, value in case.items() if key != FILE_NAME}
class LocalResolverParityTests(unittest.TestCase):
@@ -1143,7 +1152,12 @@ class LocalResolverParityTests(unittest.TestCase):
observed = _run_oracle(
self,
[
{"name": name, "mode": "resolve", "records": records}
{
"name": name,
"mode": "resolve",
"records": _records(records),
"fileName": records.get(FILE_NAME),
}
for name, records in cases.items()
],
)
@@ -1151,7 +1165,7 @@ class LocalResolverParityTests(unittest.TestCase):
for name, records in cases.items():
with self.subTest(case=name):
local = observed[name]
server = _server_evidence(records)
server = _server_evidence(_records(records), records.get(FILE_NAME))
answers[name] = server
self.assertEqual(
_canonical_bytes(local["evidence"]), _canonical_bytes(server)
@@ -1190,7 +1204,7 @@ class LocalResolverParityTests(unittest.TestCase):
# The single-chain subset (Task 8); the rest is Task 9's test below.
if not resolver_cases.single_chain(records):
continue
server = _server_evidence(records)
server = _server_evidence(records, Path(path).name)
self.assertEqual(
_canonical_bytes(local["evidence"]), _canonical_bytes(server)
)
@@ -1237,7 +1251,8 @@ class LocalResolverParityTests(unittest.TestCase):
local, expect = observed[name], vector["expect"]
try:
server = _server_evidence(
read_inspection_file(files[name]).metadata
read_inspection_file(files[name]).metadata,
Path(files[name]).name,
)
except MetadataReadError:
server = unreadable_evidence()
+21 -15
View File
@@ -1019,7 +1019,8 @@ class TestResolverProfiles(unittest.TestCase):
def test_unsupported_node_names_the_blocking_node(self):
source = graph()
source["1"]["class_type"] = "UnknownEncoder"
# No text and no links: nothing passes through it (#381).
source["1"] = {"class_type": "UnknownEncoder", "inputs": {"seed": 1}}
result = resolve_prompt_pair(source, profile=resolver.INSPECTION_PROFILE)
self.assertEqual(result["reason_code"], "unsupported-node")
self.assertEqual(result["node"], {"id": "1", "class_type": "UnknownEncoder"})
@@ -1161,14 +1162,9 @@ class TestGuiderSamplers(unittest.TestCase):
def test_unsupported_node_names_first_blocking_node(self):
source = _guided()
source["30"] = {
"class_type": "FutureConditioner",
"inputs": {"conditioning": ["6", 0]},
}
source["31"] = {
"class_type": "OtherConditioner",
"inputs": {"conditioning": ["7", 0]},
}
# No links: nothing passes through them (#381).
source["30"] = {"class_type": "FutureConditioner", "inputs": {"seed": 1}}
source["31"] = {"class_type": "OtherConditioner", "inputs": {"seed": 2}}
source["21"]["inputs"]["positive"] = ["30", 0]
source["21"]["inputs"]["negative"] = ["31", 0]
result = _inspect(source)
@@ -1548,7 +1544,8 @@ class TestConditioningSemantics(unittest.TestCase):
def test_diverging_branch_that_cannot_be_traced_is_never_guessed(self):
extra = {
"10": _encoded(parity.POS),
"11": {"class_type": "FutureEncoder", "inputs": {"text": WOLF}},
# No text and no links: nothing passes through it (#381).
"11": {"class_type": "FutureEncoder", "inputs": {"strength": 1.0}},
"12": _image_exists(),
}
source = _with_positive(_if_else(["12", 1], ["10", 0], ["11", 0]), extra)
@@ -2048,12 +2045,17 @@ class TestEncoderAndStringSemantics(unittest.TestCase):
result = _inspect(_with_positive(node))
self.assertEqual(result["reason_code"], "malformed")
def test_unverified_text_nodes_stay_unsupported_and_named(self):
# TextBoxMira was verified in its source in Task 2.7b and is listed.
def test_unknown_text_nodes_pass_their_text_through(self):
# #381: an unlisted node's ``text`` input is its text (the legacy rule);
# without one, and with nothing linked, it is still named.
for name in ("LoRAfromText", "RegexReplace", "XYZPrompt"):
with self.subTest(node=name):
node = {"class_type": name, "inputs": {"text": parity.POS}}
result = _inspect(_string_positive(node))
self.assertEqual(result["state"], "resolved")
self.assertEqual(result["positive"]["text"], parity.POS)
node = {"class_type": name, "inputs": {"pattern": parity.POS}}
result = _inspect(_string_positive(node))
self.assertEqual(result["reason_code"], "unsupported-node")
self.assertEqual(result["node"], {"id": "10", "class_type": name})
@@ -2313,7 +2315,8 @@ class TestDetailerStages(unittest.TestCase):
def test_unresolved_stage_blocks_the_chain(self):
source = _detailed(same_prompt=True)
source["30"] = {"class_type": "FutureConditioner", "inputs": {"c": ["6", 0]}}
# No links: nothing passes through it (#381).
source["30"] = {"class_type": "FutureConditioner", "inputs": {"c": 1.0}}
source["3"]["inputs"]["positive"] = ["30", 0]
source["50"]["inputs"]["positive"] = ["10", 0]
result = _inspect(source)
@@ -2662,11 +2665,13 @@ class TestLatentAncestry(unittest.TestCase):
},
{
"50": {"class_type": "LoadImage", "inputs": {"image": "a.png"}},
# Its own encoder (#381: the same links would be one prompt).
"73": parity._enc(parity.POS),
"70": {
"class_type": "KSampler",
"inputs": {
"model": ["4", 0],
"positive": ["6", 0],
"positive": ["73", 0],
"negative": ["7", 0],
"latent_image": ["72", 0],
},
@@ -2969,7 +2974,8 @@ class TestLatentAncestry(unittest.TestCase):
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.
# Reached only through an unlisted image node, it stays unattributed:
# a detailer is never a plain first stage, even on the same links (#381).
source["61"] = {"class_type": "MysteryFilter", "inputs": {"image": ["60", 0]}}
source["5"]["inputs"]["pixels"] = ["61", 0]
result = _inspect(source, output_node_id="9")
+391
View File
@@ -0,0 +1,391 @@
"""Unknown nodes between the prompt and the sampler pass through (#381).
The inspection resolver no longer needs a node class on an allow-list to read
through it. An output the semantics table does not describe passes through: a
``text`` input is the text, a ``positive``/``negative`` input routes by output
slot, a ``conditioning`` input is followed alone, otherwise every linked input
except core type inputs (``pass_through.skip_inputs``) is followed. One text,
or several equal texts, resolve; PromptManager nodes are authoritative; several
different texts are one candidate each. Ingestion (the default profile) is
unchanged. Every graph here is synthetic, with neutral texts.
"""
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 unknown_node_graphs as graphs
except ImportError: # discovered with ``-s tests``
import unknown_node_graphs as graphs
POSITIVE, OTHER, NEGATIVE = graphs.POSITIVE, graphs.OTHER, graphs.NEGATIVE
any_switch_graph = graphs.any_switch_graph
_encode, _pair, _with = graphs.encode, graphs.pair, graphs.with_nodes
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 TestTheReportedGraph(unittest.TestCase):
def test_prompt_manager_pair_through_any_switch_resolves(self):
result = _inspect(any_switch_graph())
self.assertEqual(result["state"], "resolved", result["reason"])
self.assertEqual(_texts(result), (POSITIVE, ""))
self.assertEqual(result["sampler_id"], "17")
self.assertIsNone(result["reason_code"])
path = [step["node_id"] for step in result["positive"]["provenance"]["path"]]
self.assertEqual(path, ["15", "10"])
def test_the_inspector_shows_the_prompt(self):
evidence = inspect_prompt_evidence({"prompt": json.dumps(any_switch_graph())})
self.assertEqual(evidence["resolution"]["state"], "resolved")
self.assertEqual(evidence["prompts"]["positive"]["status"], "resolved")
self.assertEqual(evidence["prompts"]["positive"]["text"], POSITIVE)
def test_ingestion_is_unchanged(self):
result = resolve_prompt_pair({"prompt": any_switch_graph()})
self.assertEqual(result["state"], "unresolved")
# Its first failure is the custom latent node, as before this change.
self.assertEqual(result["reason"], "Unsupported latent ancestry")
def test_the_inspection_version_moves(self):
self.assertEqual(resolver.INSPECTION_RESOLVER_VERSION, 2)
self.assertEqual(resolver.RESOLVER_VERSION, 1)
class TestSourcesThroughUnknownNodes(unittest.TestCase):
def test_several_inputs_with_one_text_resolve(self):
graph = any_switch_graph(any_01=["10", 0], any_02=["10", 0])
self.assertEqual(_texts(_inspect(graph)), (POSITIVE, ""))
def test_equal_texts_from_different_nodes_resolve(self):
graph = _with(
any_switch_graph(any_01=["20", 0], any_02=["21", 0]),
**{"20": _encode(OTHER), "21": _encode(OTHER)},
)
result = _inspect(graph)
self.assertEqual(result["state"], "resolved")
self.assertEqual(_texts(result)[0], OTHER)
def test_different_texts_are_candidates_not_a_refusal(self):
graph = _with(
any_switch_graph(any_01=["20", 0], any_02=["21", 0]),
**{"20": _encode(POSITIVE), "21": _encode(OTHER)},
)
result = _inspect(graph)
self.assertEqual(result["state"], "ambiguous")
self.assertEqual(result["reason"], resolver.SEVERAL_SOURCES_REASON)
self.assertEqual(
[_texts(item) for item in result["candidates"]],
[(POSITIVE, ""), (OTHER, "")],
)
for item in result["candidates"]:
self.assertEqual(item["state"], "resolved")
self.assertEqual(item["sampler_id"], "17")
def test_prompt_manager_is_authoritative(self):
graph = _with(
any_switch_graph(any_01=["20", 0], any_02=["10", 0]),
**{"20": _encode(OTHER)},
)
result = _inspect(graph)
self.assertEqual(result["state"], "resolved")
self.assertEqual(_texts(result), (POSITIVE, ""))
def test_prompt_manager_wins_over_an_unreadable_branch(self):
graph = _with(
any_switch_graph(any_01=["20", 0], any_02=["10", 0]),
**{
"20": {
"class_type": "CLIPTextEncode",
"inputs": {"text": ["21", 0], "clip": ["7", 0]},
},
"21": {"class_type": "PromptSearchList", "inputs": {"search": "x"}},
},
)
self.assertEqual(_texts(_inspect(graph)), (POSITIVE, ""))
def test_an_unreadable_branch_blocks_without_prompt_manager(self):
graph = _with(
any_switch_graph(any_01=["20", 0], any_02=["22", 0]),
**{
"20": {
"class_type": "CLIPTextEncode",
"inputs": {"text": ["21", 0], "clip": ["7", 0]},
},
"21": {"class_type": "PromptSearchList", "inputs": {"search": "x"}},
"22": _encode(OTHER),
},
)
result = _inspect(graph)
self.assertEqual(result["state"], "unresolved")
self.assertEqual(result["reason_code"], "runtime-value")
def test_chained_unknown_nodes(self):
graph = _with(
any_switch_graph(any_01=["20", 0]),
**{
"20": {
"class_type": "Router Node (vendor)",
"inputs": {"in": ["10", 0]},
}
},
)
self.assertEqual(_texts(_inspect(graph)), (POSITIVE, ""))
def test_no_text_names_the_unknown_node(self):
graph = any_switch_graph(any_01=["7", 0])
result = _inspect(graph)
self.assertEqual(result["state"], "unresolved")
self.assertEqual(result["reason_code"], "unsupported-node")
self.assertEqual(
result["node"], {"id": "15", "class_type": "Any Switch (rgthree)"}
)
def test_another_sampler_is_never_entered(self):
graph = any_switch_graph(any_01=["17", 0], any_02=["10", 0])
graph["30"] = {
"class_type": "KSampler",
"inputs": {**graph["17"]["inputs"], "positive": ["31", 0]},
}
graph["31"] = _encode(OTHER)
graph["15"]["inputs"]["any_01"] = ["30", 0]
result = _inspect(graph)
found = {item["sampler_id"]: _texts(item) for item in result["candidates"]}
self.assertEqual(found["17"], (POSITIVE, ""))
class TestLegacyShapedRules(unittest.TestCase):
def test_a_text_input_is_the_text(self):
graph = _with(
any_switch_graph(any_01=["20", 0]),
**{
"20": {
"class_type": "VendorTextEncode",
"inputs": {"text": OTHER, "clip": ["9", 1]},
}
},
)
self.assertEqual(_texts(_inspect(graph))[0], OTHER)
def test_role_inputs_route_by_output_slot(self):
graph = any_switch_graph()
graph["20"] = {
"class_type": "VendorControlApply",
"inputs": {
"positive": ["21", 0],
"negative": ["22", 0],
"control_net": ["8", 0],
"image": ["8", 0],
},
}
graph["21"] = _encode(POSITIVE)
graph["22"] = _encode(NEGATIVE)
graph["17"]["inputs"]["positive"] = ["20", 0]
graph["17"]["inputs"]["negative"] = ["20", 1]
self.assertEqual(_texts(_inspect(graph)), (POSITIVE, NEGATIVE))
def test_a_conditioning_input_is_followed_alone(self):
graph = _with(
any_switch_graph(any_01=["20", 0]),
**{
"20": {
"class_type": "VendorStyleApply",
"inputs": {"conditioning": ["10", 0], "style": ["21", 0]},
},
"21": _encode(OTHER),
},
)
self.assertEqual(_texts(_inspect(graph)), (POSITIVE, ""))
def test_core_type_inputs_are_skipped(self):
# The vendor encoder's ``clip`` reaches a loader with its own ``text``:
# that text is a lora tag, never the prompt.
graph = _with(
any_switch_graph(any_01=["20", 0]),
**{
"20": {
"class_type": "VendorPromptEncode",
"inputs": {"prompt": ["21", 0], "clip": ["22", 1]},
},
"21": {"class_type": "PrimitiveString", "inputs": {"value": OTHER}},
"22": {
"class_type": "VendorLoraLoader",
"inputs": {"text": "<lora:x:1>", "clip": ["7", 0]},
},
},
)
result = _inspect(graph)
self.assertEqual(result["state"], "resolved")
self.assertEqual(_texts(result)[0], OTHER)
class TestBounds(unittest.TestCase):
def test_a_long_unknown_chain_reaches_the_depth_limit(self):
graph = any_switch_graph(any_01=["100", 0])
for index in range(100, 100 + resolver.INSPECTION_PROFILE.max_depth + 2):
graph[str(index)] = {
"class_type": "Router Node (vendor)",
"inputs": {"in": [str(index + 1), 0]},
}
graph[str(index + 1)] = _pair()
result = _inspect(graph)
self.assertEqual(result["state"], "unresolved")
self.assertEqual(result["reason_code"], "depth-limit")
def test_many_different_sources_hit_the_candidate_cap(self):
inputs = {}
graph = any_switch_graph()
for index in range(resolver._MAX_BRANCH_CANDIDATES + 1):
graph[str(200 + index)] = _encode(f"{OTHER} {index}")
inputs[f"any_{index:02}"] = [str(200 + index), 0]
graph["15"]["inputs"] = inputs
result = _inspect(graph)
self.assertEqual(result["state"], "unresolved")
self.assertEqual(result["reason_code"], "work-limit")
if __name__ == "__main__":
unittest.main()
class TestGeneratedAndTransformedText(unittest.TestCase):
def test_a_seeded_text_node_is_generated_at_run_time(self):
result = _inspect(graphs.generated_text_graph())
self.assertEqual(result["state"], "unresolved")
self.assertEqual(result["reason_code"], "runtime-value")
self.assertEqual(
result["node"], {"id": "30", "class_type": "VendorTextGenerate"}
)
def test_the_recorded_text_is_authoritative(self):
# The record is what ran: a generated or transformed text is never
# checked against the generator's or transform's inputs.
for name, records in graphs.recorded_shapes().items():
with self.subTest(shape=name):
metadata = {
"prompt": json.loads(records["prompt"]),
"comfyassets_prompt_pairs": records["comfyassets_prompt_pairs"],
}
result = resolve_prompt_pair(
metadata, profile=resolver.INSPECTION_PROFILE
)
self.assertEqual(result["state"], "resolved", result["reason"])
self.assertEqual(_texts(result), (graphs.GENERATED, ""))
self.assertEqual(
result["positive"]["provenance"]["text_source"], "execution"
)
def test_a_seeded_conditioning_node_still_passes_through(self):
graph = _with(
any_switch_graph(any_01=["20", 0]),
**{
"20": {
"class_type": "VendorConditioningNoise",
"inputs": {"conditioning": ["10", 0], "seed": 3},
}
},
)
self.assertEqual(_texts(_inspect(graph)), (POSITIVE, ""))
class TestReviewFindings(unittest.TestCase):
"""Shapes from the independent review of the first #381 commit."""
def _recorded(self, text_source: dict) -> dict:
graph = any_switch_graph()
graph["10"]["inputs"]["text"] = ["30", 0]
graph.update(text_source)
metadata = {
"prompt": graph,
"comfyassets_prompt_pairs": graphs.execution("10", graphs.GENERATED),
}
return resolve_prompt_pair(metadata, profile=resolver.INSPECTION_PROFILE)
def test_a_failing_walk_never_overrides_the_recorded_text(self):
sources = {
"missing": {"30": {"class_type": "XLLM", "inputs": {"src": ["99", 0]}}},
"composite": {
"30": {"class_type": "XLLM", "inputs": {"src": ["31", 0]}},
"31": {
"class_type": "ConditioningCombine",
"inputs": {
"conditioning_1": ["32", 0],
"conditioning_2": ["33", 0],
},
},
"32": _encode(POSITIVE),
"33": _encode(OTHER),
},
"several": {
"30": {
"class_type": "XLLM",
"inputs": {"a": ["31", 0], "b": ["32", 0]},
},
"31": {"class_type": "PrimitiveString", "inputs": {"value": POSITIVE}},
"32": {"class_type": "PrimitiveString", "inputs": {"value": OTHER}},
},
"list-text": {"30": {"class_type": "XLLM", "inputs": {"text": [1, 2, 3]}}},
}
for name, source in sources.items():
with self.subTest(source=name):
result = self._recorded(source)
self.assertEqual(result["state"], "resolved", result["reason"])
self.assertEqual(_texts(result)[0], graphs.GENERATED)
def test_the_seed_rule_reads_only_string_outputs(self):
graph = _with(
any_switch_graph(any_01=["20", 0]),
**{
"20": {"class_type": "XNoise", "inputs": {"conditioning": ["21", 0]}},
"21": {
"class_type": "XSeedEncode",
"inputs": {"clip": ["7", 0], "text": OTHER, "seed": 3},
},
},
)
self.assertEqual(_texts(_inspect(graph))[0], OTHER)
def test_an_unlinked_role_input_adds_nothing(self):
graph = any_switch_graph()
graph["20"] = {
"class_type": "XApply",
"inputs": {"positive": ["21", 0], "negative_opt": ""},
}
graph["21"] = _encode(POSITIVE)
graph["17"]["inputs"]["positive"] = ["20", 0]
graph["17"]["inputs"]["negative"] = ["20", 1]
result = _inspect(graph)
self.assertEqual(result["state"], "unresolved")
self.assertEqual(result["reason_code"], "unsupported-node")
self.assertEqual(result["node"], {"id": "20", "class_type": "XApply"})
def test_one_text_offered_twice_is_one_candidate(self):
graph = _with(
any_switch_graph(any_01=["20", 0], any_02=["23", 0]),
**{
"20": {"class_type": "XB", "inputs": {"p": ["21", 0], "q": ["22", 0]}},
"21": _encode(POSITIVE),
"22": _encode(OTHER),
"23": _encode(POSITIVE),
},
)
result = _inspect(graph)
self.assertEqual(result["state"], "ambiguous")
self.assertEqual(
[_texts(item)[0] for item in result["candidates"]], [POSITIVE, OTHER]
)
+10 -2
View File
@@ -72,16 +72,24 @@ class TestHiresFixChain(unittest.TestCase):
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"))
graph = shapes.hires_fix(
second_positive=shapes.POSITIVE, filter_class="MysteryImageEffect"
)
result = _inspect(graph)
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)
# Stages on the very same conditioning links are one prompt (#381).
result = _inspect(shapes.hires_fix(filter_class="MysteryImageEffect"))
self.assertEqual(result["state"], "resolved")
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])
# Its own encoder: the same links would be one prompt (#381).
graph["33"] = shapes.encode(shapes.POSITIVE)
graph["30"] = shapes.ksampler(["33", 0], ["3", 0], ["4", 0])
graph["31"] = {"class_type": "VAEDecode", "inputs": {"samples": ["30", 0]}}
graph["32"] = {
"class_type": "ImageBlend",
+151
View File
@@ -0,0 +1,151 @@
"""Saver anchoring by file name and shared-conditioning stages (#381).
An inspected file's name anchors the walk on the one saver whose
``filename_prefix`` (literal or traced) makes ``<prefix>_<digits>[_]``; the
samplers in that saver's image ancestry are the candidates. When no saver or
more than one matches, nothing is guessed: the file stays "several possible
prompts". A later stage reading the same positive and negative links as the
earlier stage has the same prompt whatever its latent ancestry. Shapes come
from the maintainer's runs (``tests/saver_anchor_graphs.py``).
"""
import json
import unittest
from utils import prompt_pair_resolver as resolver
from utils.prompt_inspector import inspect_prompt_evidence
try:
from tests import saver_anchor_graphs as shapes
except ImportError: # discovered with ``-s tests``
import saver_anchor_graphs as shapes
def _inspect(graph, file_name=None):
return resolver.resolve_prompt_pair(
{"prompt": graph}, profile=resolver.INSPECTION_PROFILE, file_name=file_name
)
def _positive(result):
side = result["positive"]
return side["text"] if isinstance(side, dict) else None
class TestSaverAnchor(unittest.TestCase):
def test_the_file_name_picks_its_branch(self):
for index, text in enumerate(shapes.BRANCH_TEXTS, start=1):
for name in (
f"s45_branch_{index}_00002_.png",
f"s45_branch_{index}_00002.webp",
):
with self.subTest(file=name):
result = _inspect(shapes.branch_bench(), name)
self.assertEqual(result["state"], "resolved")
self.assertEqual(_positive(result), text)
self.assertEqual(result["sampler_id"], str(index * 10 + 1))
def test_unanchored_branches_stay_several(self):
self.assertEqual(_inspect(shapes.branch_bench())["state"], "ambiguous")
def test_a_traced_prefix_anchors(self):
result = _inspect(shapes.linked_prefix_bench(), "s45_branch_3_00007_.png")
self.assertEqual(_positive(result), shapes.BRANCH_TEXTS[2])
def test_an_unknown_saver_class_anchors_too(self):
result = _inspect(
shapes.branch_bench(saver="VendorSaveImage"), "s45_branch_2_00001_.png"
)
self.assertEqual(_positive(result), shapes.BRANCH_TEXTS[1])
def test_no_guessing_when_the_name_matches_none_or_several(self):
cases = {
"no saver matches": (shapes.branch_bench(), "photo_00001_.png"),
"not a counter": (shapes.branch_bench(), "s45_branch_3_final.png"),
"prefix of another branch": (
shapes.branch_bench(),
"s45_branch_00001_.png",
),
"shared prefix": (shapes.shared_prefix(), "IMG_GEN_00371_.png"),
}
for label, (graph, name) in cases.items():
with self.subTest(case=label):
result = _inspect(graph, name)
self.assertEqual(result["state"], "ambiguous")
self.assertEqual(len(result["candidates"]), len(shapes.BRANCH_TEXTS))
def test_the_inspector_passes_the_file_name(self):
records = {"prompt": json.dumps(shapes.branch_bench())}
evidence = inspect_prompt_evidence(records, file_name="s45_branch_4_00009_.png")
self.assertEqual(
evidence["prompts"]["positive"]["text"], shapes.BRANCH_TEXTS[3]
)
self.assertEqual(
inspect_prompt_evidence(records)["resolution"]["state"], "ambiguous"
)
def test_ingestion_ignores_the_file_name(self):
result = resolver.resolve_prompt_pair(
{"prompt": shapes.branch_bench()}, file_name="s45_branch_1_00001_.png"
)
self.assertEqual(result["state"], "ambiguous")
class TestSharedConditioningStages(unittest.TestCase):
def test_a_later_stage_on_the_same_links_resolves(self):
for name in (None, "final_00003_.png"):
with self.subTest(file=name):
result = _inspect(shapes.two_stage_same_conditioning(), name)
self.assertEqual(result["state"], "resolved", result["reason"])
self.assertEqual(_positive(result), shapes.BRANCH_TEXTS[0])
def test_different_links_stay_unattributed(self):
graph = shapes.two_stage_same_conditioning(second_positive=["91", 0])
result = _inspect(graph, "final_00003_.png")
self.assertEqual(result["state"], "unresolved")
self.assertEqual(result["reason"], resolver.MULTISTAGE_UNATTRIBUTED_REASON)
if __name__ == "__main__":
unittest.main()
class TestReviewFindings(unittest.TestCase):
"""Shapes from the independent review of the saver-anchor commit."""
def test_a_skipped_stage_never_hides_its_own_earlier_prompt(self):
result = _inspect(shapes.hidden_earlier_prompt(), "out_00001_.png")
self.assertNotEqual(result["state"], "resolved")
self.assertEqual(result["reason"], resolver.MULTISTAGE_UNATTRIBUTED_REASON)
def test_a_skipped_stage_never_hides_its_override(self):
result = _inspect(shapes.hidden_earlier_prompt(override=True), "out_00001_.png")
self.assertNotEqual(result["state"], "resolved")
def test_an_unfinished_prefix_scan_anchors_nothing(self):
graph = shapes.deep_prefixes(9)
for visits in range(10, 30):
with self.subTest(visits=visits):
result = resolver.resolve_prompt_pair(
{"prompt": graph},
profile=resolver.INSPECTION_PROFILE,
max_visits=visits,
file_name="dup_00001_.png",
)
self.assertNotEqual(result["state"], "resolved")
class TestPlainFirstStage(unittest.TestCase):
def test_only_a_plain_first_stage_is_skipped(self):
expected = {
"no-latent": "resolved",
"literal-latent": "unresolved",
"missing-latent": "unresolved",
"cyclic-latent": "unresolved",
"stage-shaped": "unresolved",
"detailer": "unresolved",
}
for kind, state in expected.items():
with self.subTest(kind=kind):
result = _inspect(shapes.first_stage_variant(kind), "final_00003_.png")
self.assertEqual(result["state"], state, result["reason"])
+5 -1
View File
@@ -864,7 +864,11 @@ class TestInspectionResolverVersion(InspectionTestCase):
}
with (
patch.object(review_capture, "INSPECTION_RESOLVER_VERSION", 2),
patch.object(
review_capture,
"INSPECTION_RESOLVER_VERSION",
review_capture.INSPECTION_RESOLVER_VERSION + 1,
),
patch.object(review_capture, "resolve_inspection", side_effect=newer),
):
self.assertNotEqual(_version(), version)
+321
View File
@@ -0,0 +1,321 @@
"""Synthetic graphs with unknown nodes between the prompt and the sampler (#381).
``any_switch_graph`` reproduces the shape of the maintainer's krea2 run
(PromptManagerPair -> Any Switch (rgthree) -> KSampler, a LoraManager loader
with its own lora ``text``, custom latent, filename and saver nodes) with
neutral texts. ``shapes()`` names one graph per pass-through rule; the resolver
tests and the browser-port parity vectors share them. No user file is involved.
"""
import json
POSITIVE = "a lighthouse on a cliff, golden hour"
OTHER = "a red bicycle in the rain"
NEGATIVE = "blurry, lowres"
def encode(text):
return {"class_type": "CLIPTextEncode", "inputs": {"text": text, "clip": ["7", 0]}}
def pair(text=POSITIVE, negative=""):
return {
"class_type": "PromptManagerPair",
"inputs": {
"text": text,
"negative_text": negative,
"category": "",
"tags": "",
"search_text": "",
"prepend_text": "",
"append_text": "",
"clip": ["9", 1],
},
}
def any_switch_graph(**switch_inputs):
"""The shape of #381: PromptManagerPair -> Any Switch (rgthree) -> KSampler.
Classes and links reproduce the maintainer's krea2 run (a LoraManager
loader with its own lora ``text``, a project-path filename node, a custom
latent and saver); the texts are neutral.
"""
inputs = switch_inputs or {"any_02": ["10", 0]}
return {
"3": {"class_type": "SeedHistory", "inputs": {"seed": 1538595059}},
"5": {
"class_type": "KikoProjectFilePath",
"inputs": {"project_name": "demo", "filename": "final"},
},
"6": {"class_type": "UNETLoader", "inputs": {"unet_name": "model.safetensors"}},
"7": {"class_type": "CLIPLoader", "inputs": {"clip_name": "clip.safetensors"}},
"8": {"class_type": "VAELoader", "inputs": {"vae_name": "vae.safetensors"}},
"9": {
"class_type": "Lora Loader (LoraManager)",
"inputs": {
"text": "<lora:style-demo:1>",
"loras": [{"name": "style-demo", "strength": 1, "active": True}],
"model": ["6", 0],
"clip": ["7", 0],
},
},
"10": pair(),
"15": {"class_type": "Any Switch (rgthree)", "inputs": inputs},
"16": {
"class_type": "EmptyLatentBatch",
"inputs": {"width": 1024, "height": 1536, "batch_size": 1},
},
"17": {
"class_type": "KSampler",
"inputs": {
"seed": ["3", 0],
"steps": 8,
"cfg": 1.0,
"sampler_name": "er_sde",
"scheduler": "beta",
"denoise": 1.0,
"model": ["9", 0],
"positive": ["15", 0],
"negative": ["10", 1],
"latent_image": ["16", 0],
},
},
"18": {
"class_type": "VAEDecode",
"inputs": {"samples": ["17", 0], "vae": ["8", 0]},
},
"19": {
"class_type": "KikoSaveImage",
"inputs": {"filename_prefix": ["5", 0], "images": ["18", 0]},
},
}
def with_nodes(graph, **nodes):
return {**graph, **nodes}
GENERATED = "a generated caption of a lighthouse"
def generated_text_graph():
"""PromptManagerPair whose ``text`` is a language model's output.
The generator (``sampling_mode.seed``, ``prompt``, ``system_prompt``)
writes new text at run time: its inputs are not the prompt.
"""
graph = any_switch_graph()
graph["10"]["inputs"]["text"] = ["30", 0]
graph["30"] = {
"class_type": "VendorTextGenerate",
"inputs": {
"prompt": ["31", 0],
"system_prompt": ["32", 0],
"sampling_mode.seed": 0,
"clip": ["7", 0],
},
}
graph["31"] = {"class_type": "PrimitiveStringMultiline", "inputs": {"value": OTHER}}
graph["32"] = {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "You"}}
return graph
def transformed_text_graph():
"""PromptManagerPair whose ``text`` passes an unknown string transform."""
graph = any_switch_graph()
graph["10"]["inputs"]["text"] = ["30", 0]
graph["30"] = {
"class_type": "VendorRegexReplace",
"inputs": {"text": OTHER, "pattern": "rain", "replace": "snow"},
}
return graph
def execution(node_id, text):
"""A ``comfyassets_prompt_pairs`` record of what the pair node ran."""
record = {
"text": text,
"negative_text": "",
"positive_text": text,
"negative_effective_text": "",
"prepend_text": "",
"append_text": "",
}
return json.dumps({"version": 1, "nodes": {node_id: {"records": [record]}}})
def recorded_shapes():
"""Record sets whose PromptManager node recorded the text it ran."""
return {
"generated-recorded": {
"prompt": json.dumps(generated_text_graph()),
"comfyassets_prompt_pairs": execution("10", GENERATED),
},
"transformed-recorded": {
"prompt": json.dumps(transformed_text_graph()),
"comfyassets_prompt_pairs": execution("10", GENERATED),
},
}
def _sampler_inputs(graph, positive, negative):
graph["17"]["inputs"]["positive"] = positive
graph["17"]["inputs"]["negative"] = negative
return graph
def shapes():
"""One named graph per rule (resolved, candidates, PromptManager, refusals)."""
vendor_encode = {
"class_type": "VendorPromptEncode",
"inputs": {"prompt": ["21", 0], "clip": ["22", 1]},
}
control = {
"class_type": "VendorControlApply",
"inputs": {
"positive": ["21", 0],
"negative": ["22", 0],
"control_net": ["8", 0],
"image": ["8", 0],
},
}
return {
"any-switch-pair": any_switch_graph(),
"any-switch-same-pair": any_switch_graph(any_01=["10", 0], any_02=["10", 0]),
"any-switch-equal-texts": with_nodes(
any_switch_graph(any_01=["20", 0], any_02=["21", 0]),
**{"20": encode(OTHER), "21": encode(OTHER)},
),
"any-switch-candidates": with_nodes(
any_switch_graph(any_01=["20", 0], any_02=["21", 0]),
**{"20": encode(POSITIVE), "21": encode(OTHER)},
),
"any-switch-prompt-manager-wins": with_nodes(
any_switch_graph(any_01=["20", 0], any_02=["10", 0]),
**{"20": encode(OTHER)},
),
"any-switch-runtime-blocks": with_nodes(
any_switch_graph(any_01=["20", 0], any_02=["22", 0]),
**{
"20": {
"class_type": "CLIPTextEncode",
"inputs": {"text": ["21", 0], "clip": ["7", 0]},
},
"21": {"class_type": "PromptSearchList", "inputs": {"search": "x"}},
"22": encode(OTHER),
},
),
"any-switch-no-text": any_switch_graph(any_01=["7", 0]),
"unknown-chain": with_nodes(
any_switch_graph(any_01=["20", 0]),
**{
"20": {
"class_type": "Router Node (vendor)",
"inputs": {"in": ["10", 0]},
}
},
),
"unknown-text-input": with_nodes(
any_switch_graph(any_01=["20", 0]),
**{
"20": {
"class_type": "VendorTextEncode",
"inputs": {"text": OTHER, "clip": ["9", 1]},
}
},
),
"unknown-role-inputs": _sampler_inputs(
with_nodes(
any_switch_graph(),
**{"20": control, "21": encode(POSITIVE), "22": encode(NEGATIVE)},
),
["20", 0],
["20", 1],
),
"unknown-conditioning-input": with_nodes(
any_switch_graph(any_01=["20", 0]),
**{
"20": {
"class_type": "VendorStyleApply",
"inputs": {"conditioning": ["10", 0], "style": ["21", 0]},
},
"21": encode(OTHER),
},
),
"generated-text-runtime": generated_text_graph(),
"transformed-text": transformed_text_graph(),
"unknown-skips-clip": with_nodes(
any_switch_graph(any_01=["20", 0]),
**{
"20": vendor_encode,
"21": {"class_type": "PrimitiveString", "inputs": {"value": OTHER}},
"22": {
"class_type": "VendorLoraLoader",
"inputs": {"text": "<lora:x:1>", "clip": ["7", 0]},
},
},
),
}
def review_shapes():
"""Record sets for the review findings on the first #381 commit."""
def recorded(source):
graph = any_switch_graph()
graph["10"]["inputs"]["text"] = ["30", 0]
graph.update(source)
return {
"prompt": json.dumps(graph),
"comfyassets_prompt_pairs": execution("10", GENERATED),
}
seeded = with_nodes(
any_switch_graph(any_01=["20", 0]),
**{
"20": {"class_type": "XNoise", "inputs": {"conditioning": ["21", 0]}},
"21": {
"class_type": "XSeedEncode",
"inputs": {"clip": ["7", 0], "text": OTHER, "seed": 3},
},
},
)
unlinked = any_switch_graph()
unlinked["20"] = {
"class_type": "XApply",
"inputs": {"positive": ["21", 0], "negative_opt": ""},
}
unlinked["21"] = encode(POSITIVE)
unlinked["17"]["inputs"]["positive"] = ["20", 0]
unlinked["17"]["inputs"]["negative"] = ["20", 1]
twice = with_nodes(
any_switch_graph(any_01=["20", 0], any_02=["23", 0]),
**{
"20": {"class_type": "XB", "inputs": {"p": ["21", 0], "q": ["22", 0]}},
"21": encode(POSITIVE),
"22": encode(OTHER),
"23": encode(POSITIVE),
},
)
return {
"recorded-missing": recorded(
{"30": {"class_type": "XLLM", "inputs": {"src": ["99", 0]}}}
),
"recorded-several": recorded(
{
"30": {
"class_type": "XLLM",
"inputs": {"a": ["31", 0], "b": ["32", 0]},
},
"31": {"class_type": "PrimitiveString", "inputs": {"value": POSITIVE}},
"32": {"class_type": "PrimitiveString", "inputs": {"value": OTHER}},
}
),
"recorded-list-text": recorded(
{"30": {"class_type": "XLLM", "inputs": {"text": [1, 2, 3]}}}
),
"seeded-encoder-behind-noise": {"prompt": json.dumps(seeded)},
"unlinked-role-input": {"prompt": json.dumps(unlinked)},
"one-text-twice": {"prompt": json.dumps(twice)},
}
+29 -6
View File
@@ -13,7 +13,7 @@ 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 prompt
category; classes that are not listed stay ``unsupported-node``. ``lineage``
category; an unlisted output of a listed class stays ``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.
@@ -23,9 +23,13 @@ keys, no whitespace): any change of content, never of layout, moves it.
folds into the version of the items it records from the inspection profile
(``utils.review_capture``): the SHA-256 of ``class_projection``, the table
restricted to what it says about ``classes`` (the node classes of one graph)
plus the class-independent ``schema`` and ``stage_inputs``. The resolver looks
the table up only by the class of a graph node, so an edit about other
classes cannot change how that graph resolves and leaves the version alone.
plus the class-independent ``schema``, ``stage_inputs`` and ``pass_through``.
The resolver looks the table up only by the class of a graph node, so an edit
about other classes cannot change how that graph resolves and leaves the
version alone. A class the table does not list at all passes text through
(#381); that rule lives in code, so ``INSPECTION_RESOLVER_VERSION`` moves for it.
``pass_through.skip_inputs`` names the core type inputs (model, clip, image,
...) such a node's text is never read through.
"""
import hashlib
@@ -86,7 +90,7 @@ _CATEGORIES = frozenset(
+ _CLASS_CATEGORIES
+ _SLOT_CATEGORIES
+ _SET_CATEGORIES
+ ("lineage", "stage_inputs", "facts")
+ ("lineage", "stage_inputs", "pass_through", "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
@@ -95,6 +99,10 @@ _CATEGORIES = frozenset(
# ``model`` alone (ModelSampling*) or with ``clip`` (LoraLoader) is a model patch.
# The resolver and comfy-metadata.js both read these lists.
_STAGE_INPUT_LISTS = ("shaped", "with_model")
# Inputs of core ComfyUI types (model, clip, image, ...) that an unknown node's
# output is never read through when the resolver passes text through it (#381):
# a loader's lora tag reached through ``clip`` is not the prompt.
_PASS_THROUGH_KEYS = ("skip_inputs",)
_STRING_PARAMS = MappingProxyType(
{
"literal": frozenset(),
@@ -127,6 +135,7 @@ class Semantics:
non_file_outputs: FrozenSet[str]
lineage: Mapping[Tuple[str, int], Mapping[str, Any]]
stage_inputs: Mapping[str, Tuple[str, ...]]
pass_through: Mapping[str, Tuple[str, ...]]
facts: Mapping[str, Any]
all_classes: FrozenSet[str]
# SHA-256 of the canonical table JSON (set by ``load_semantics``).
@@ -447,6 +456,19 @@ def _stage_inputs(doc: dict) -> Mapping[str, Tuple[str, ...]]:
return _freeze(table)
def _pass_through(doc: dict) -> Mapping[str, Tuple[str, ...]]:
table = doc["pass_through"]
if not isinstance(table, dict) or set(table) != set(_PASS_THROUGH_KEYS):
raise SemanticsError(
f"pass_through must have exactly {list(_PASS_THROUGH_KEYS)}"
)
_names(table["skip_inputs"], "pass_through.skip_inputs")
for name in ("text", "positive", "negative", "conditioning"):
if name in table["skip_inputs"]:
raise SemanticsError(f"pass_through.skip_inputs: {name} carries text")
return _freeze(table)
def _facts(doc: dict) -> Mapping[str, Any]:
facts = doc["facts"]
if not isinstance(facts, dict) or set(facts) != set(_FACTS_TABLES):
@@ -506,6 +528,7 @@ def _validate(doc: Any) -> Semantics:
return Semantics(
lineage=_lineage(doc),
stage_inputs=_stage_inputs(doc),
pass_through=_pass_through(doc),
facts=_facts(doc),
all_classes=owners.classes(),
**tables,
@@ -542,7 +565,7 @@ def load_semantics(path: Optional[Union[str, Path]] = None) -> Semantics:
# Table parts that hold no class names: they apply to every graph.
_CLASS_INDEPENDENT = frozenset({"schema", "stage_inputs"})
_CLASS_INDEPENDENT = frozenset({"schema", "stage_inputs", "pass_through"})
def _canonical_json(doc: Any) -> str:
+2 -1
View File
@@ -534,6 +534,7 @@ def inspect_prompt_evidence(
saved: dict | None = None,
*,
profile: ResolverProfile = INSPECTION_PROFILE,
file_name: str | None = None,
) -> dict:
"""Keep uncertainty visible; a saved association never replaces file evidence.
@@ -597,7 +598,7 @@ def inspect_prompt_evidence(
if workflow is not None and "prompt" in canonical:
# Only to recognize overwritten PromptManager text (R1); never a role.
canonical["workflow"] = workflow
resolved = resolve_prompt_pair(canonical, profile=profile)
resolved = resolve_prompt_pair(canonical, profile=profile, file_name=file_name)
state = resolved["state"]
result = {}
for role in ("positive", "negative"):
+358 -21
View File
@@ -6,7 +6,9 @@ contains effective ``text``, deduplicated-recipe ``storage_text`` and
``provenance``; ComfyUI provenance records the exact output
slot and complete followed link path. States distinguish a resolved pair (an
explicit empty negative is valid), absent data, unsupported/unresolved data and
ambiguous sampler selection. Unknown conditioning semantics are never flattened.
ambiguous sampler selection. Listed composites are never flattened; in the
inspection profile, nodes the semantics table does not name pass their text
through (#381, ``_GraphResolver.passed``).
Future nodes can register declarative ``OutputAdapter`` entries by
``(class_type, output_slot)``. This does not prescribe a future paired-node schema.
@@ -48,7 +50,9 @@ RESOLVER_VERSION = 1
# review items recorded from that profile (with the profile's budgets and
# the semantics table). Bump it when a change would make the inspection
# profile resolve the same metadata otherwise, even if ingestion is unchanged.
INSPECTION_RESOLVER_VERSION = 1
# 2: unknown nodes pass through generically (#381); unknown classes are not in
# the table's class projection, so only this number can move those items.
INSPECTION_RESOLVER_VERSION = 2
@dataclass(frozen=True)
@@ -113,6 +117,15 @@ _HISTORICAL_ADAPTERS = {
for _name in ("PromptManagerPositive", "PromptManagerDetailer"):
_HISTORICAL_ADAPTERS[(_name, 0)] = _COMMA
_HISTORICAL_ADAPTERS[(_name, 1)] = replace(_COMMA, kind="string")
# This repository's own node classes, current and historical: their text is the
# prompt whatever unknown nodes sit between them and the sampler (#381).
_OWN_CLASSES = frozenset(
name
for name, _ in list(_DEFAULT_ADAPTERS) + list(_HISTORICAL_ADAPTERS)
if name.startswith("PromptManager")
)
# Nodes with these exact names are traced by code, not by the table.
_CODED_CLASSES = frozenset({"Reroute", "StringConcatenate", "Text Concatenate"})
@dataclass(frozen=True)
@@ -197,6 +210,17 @@ _ZEROED_SOURCE = "zeroed-conditioning"
_MAX_BRANCH_CANDIDATES = 32
# Statically undecidable text (a search, a list output): never pick an item.
_RUNTIME_REASON = "Text is decided at run time"
# Different texts reach one sampler through unknown nodes (#381): one candidate
# per text, never a refusal.
SEVERAL_SOURCES_REASON = "Several prompts reach the sampler"
SELECTOR_BRANCHES_REASON = "Selector branches have different prompts"
# Failures that bound the work: never skipped by a pass-through walk.
_LIMIT_CODES = frozenset({"work-limit", "depth-limit", "text-limit"})
_PASSED_UNVERIFIABLE = "Text passed through an unknown node is not verifiable"
# Inputs that make an unknown node a conditioning transform, not a generator.
_CONDITIONING_INPUTS = ("conditioning", "positive", "negative")
# The first item of a pass-through divergence's 3-tuple choice key.
_PASS_THROUGH = "pass-through"
# Uncoded outcomes the inspector explains by their exact reason.
EMPTY_POSITIVE_REASON = "Positive prompt is empty"
# Several sampler branches, every one resolved to the same pair (#249).
@@ -241,17 +265,23 @@ class _Unresolved(Exception):
class _Diverging(Exception):
"""A runtime selector whose branches trace to different texts.
"""A runtime choice whose options trace to different texts.
Raised from inside tracing; ``_GraphResolver.branches`` resolves the sampler
again once per choice, so each candidate is internally consistent.
again once per choice, so each candidate is internally consistent. A
selector's choices are ``(True, False)``; an unknown node passing several
texts through (#381) has one choice per distinct text, ``0..n-1``.
"""
def __init__(self, key: Tuple[str, int]) -> None:
def __init__(self, key: tuple, choices: tuple, sources: bool = False) -> None:
super().__init__(key)
# The condition output (node ID, slot): one runtime value, so every
# selector it drives is forced together.
# A selector's condition output (node ID, slot): one runtime value, so
# every selector it drives is forced together. A pass-through key is
# ``(_PASS_THROUGH, node ID, slot)``.
self.key = key
self.choices = choices
# Raised by an unknown node passing several texts (the outcome's reason).
self.sources = sources
def _node_ref(node_id: str, class_type: Any) -> dict:
@@ -447,6 +477,8 @@ class _GraphResolver:
self.latent_charged: set = set()
# ``semantics`` (inspection) names the samplers and guiders it follows.
self.semantics = semantics
# Nesting depth of execution-record checks (``passed``).
self.verifying = 0
if semantics is None:
self.sampler_classes = self.stage_classes = _SAMPLERS
else:
@@ -457,6 +489,19 @@ class _GraphResolver:
)
# Any listed sampler upstream in latent ancestry is an earlier stage.
self.stage_classes = frozenset(semantics.samplers)
# Classes the resolver knows something about: an unlisted output of
# one stays ``unsupported-node``; any other class passes through.
facts = semantics.facts
self.described = (
semantics.all_classes
| {name for name, _ in semantics.lineage}
| {name for name, _ in self.adapters}
| _CODED_CLASSES
| frozenset(facts["configuration_outputs"])
| frozenset(facts["model_outputs"])
| frozenset(facts["model_passthroughs"])
| frozenset(facts["scalar_outputs"])
)
def node(self, node_id: str) -> Tuple[str, dict]:
if self.legacy:
@@ -557,7 +602,9 @@ class _GraphResolver:
self.inherit_source(node_id, slot, [path])
elif (name, slot) in self.adapters:
adapter = self.adapters[(name, slot)]
if not isinstance(adapter, OutputAdapter) or adapter.kind != kind:
if not isinstance(adapter, OutputAdapter) or (
kind != "any" and adapter.kind != kind
):
raise _Unresolved(_INCOMPATIBLE_SLOT, "malformed")
evidence = (
self.execution_record(node_id, inputs)
@@ -613,7 +660,7 @@ class _GraphResolver:
elif (
name in ("StringConcatenate", "Text Concatenate")
and slot == 0
and kind == "string"
and kind in ("string", "any")
):
if name == "StringConcatenate":
keys = ["string_a", "string_b"]
@@ -652,6 +699,10 @@ class _GraphResolver:
text, path, storage_text = self.semantic(
node_id, name, slot, kind, inputs, depth
)
elif self.semantics is not None and name not in self.described:
text, path, storage_text = self.passed(
node_id, slot, kind, inputs, depth
)
else:
raise self.unsupported(
"Unsupported node semantics or output slot", node_id
@@ -747,7 +798,7 @@ class _GraphResolver:
return True
if slot == 0 and name in semantics.selectors:
return True
return kind == "conditioning" and (
return kind in ("conditioning", "any") and (
(name, slot) in semantics.conditioning
or (slot == 0 and name in semantics.composites)
)
@@ -769,11 +820,13 @@ class _GraphResolver:
):
listed = table.get((name, slot))
if listed is not None:
if kind != expected:
if kind not in (expected, "any"):
raise _Unresolved(_INCOMPATIBLE_SLOT, "malformed")
return build(node_id, listed, inputs, depth)
entry = (
semantics.conditioning.get((name, slot)) if kind == "conditioning" else None
semantics.conditioning.get((name, slot))
if kind in ("conditioning", "any")
else None
)
if entry is not None and entry["strategy"] == "zeroed":
# The upstream text is discarded, so it is not traced.
@@ -825,9 +878,120 @@ class _GraphResolver:
for label in ("true", "false")
]
if parts[0][0] != parts[1][0]:
raise _Diverging((str(condition[0]), condition[1]))
raise _Diverging((str(condition[0]), condition[1]), (True, False))
return self.merged(node_id, 0, parts)
def passed(
self, node_id: str, slot: int, kind: str, inputs: dict, depth: int
) -> Tuple[str, list, str]:
"""``read_through``, except while checking an execution record.
A pair node's recorded text is what ran. While its inputs are checked
against the record (``execution_record``), any outcome of a walk through
an unknown node but running out of visits only means "cannot be read
statically" (``unsupported-node``, unverifiable), as before #381.
"""
if not self.verifying:
return self.read_through(node_id, slot, kind, inputs, depth)
try:
return self.read_through(node_id, slot, kind, inputs, depth)
except _Diverging:
raise self.unsupported(_PASSED_UNVERIFIABLE, node_id) from None
except _Unresolved as error:
if error.code == "work-limit":
raise
raise self.unsupported(_PASSED_UNVERIFIABLE, node_id) from None
def read_through(
self, node_id: str, slot: int, kind: str, inputs: dict, depth: int
) -> Tuple[str, list, str]:
"""An output no rule describes passes its text through (#381).
A string output (kind ``string``) of a node with a seed input
(``seed``, ``noise_seed``, ``sampling_mode.seed``) and no linked
conditioning input is generated at run time (a language model, a
wildcard or random line): ``runtime-value``, never its inputs. With a
linked conditioning input it is a conditioning transform (noise). A
``text`` input is the text (the legacy encoder rule). Otherwise the
followed inputs (``pass_inputs``) are traced with kind ``any``: an
unknown node may turn a string into conditioning. A followed input that
finds no text (``unsupported-node``) adds nothing; limits and runtime
choices propagate; any other failure blocks, unless a PromptManager
node was reached: this repository's own nodes are authoritative, so
only their texts count then. One distinct text is the result; several
are a runtime choice with one candidate per text, in input order.
"""
if (
kind == "string"
and any(name.endswith("seed") for name in inputs)
and not any(_link(inputs.get(name)) for name in _CONDITIONING_INPUTS)
):
raise self.named(_RUNTIME_REASON, "runtime-value", node_id)
if "text" in inputs:
traced = self.text(inputs["text"], "string", depth + 1)
self.inherit_source(node_id, slot, [traced[1]])
return traced
found: list = []
blocking: Optional[_Unresolved] = None
for value in self.pass_inputs(slot, inputs):
try:
found.append(self.text(value, "any", depth + 1))
except _Unresolved as error:
if error.code in _LIMIT_CODES:
raise
if error.code != "unsupported-node" and blocking is None:
blocking = error
owned = [traced for traced in found if self.owned(traced[1])]
if owned:
found = owned
elif blocking is not None:
raise blocking
if not found:
raise self.unsupported("Unsupported node semantics or output slot", node_id)
texts = list(dict.fromkeys(traced[0] for traced in found))
if len(texts) == 1:
return self.merged(node_id, slot, found)
if len(texts) > _MAX_BRANCH_CANDIDATES:
raise _Unresolved("Too many selector branches", "work-limit")
key = (_PASS_THROUGH, node_id, slot)
if key not in self.choices:
raise _Diverging(key, tuple(range(len(texts))), sources=True)
self.tainted = True
chosen = texts[self.choices[key]]
return self.merged(node_id, slot, [t for t in found if t[0] == chosen])
def pass_inputs(self, slot: int, inputs: dict) -> list:
"""The linked inputs an unknown node's output is read through.
Output slot 0 of a node with a ``positive`` or ``negative`` input reads
only ``positive`` (slot 1, ``negative``), nothing when that one is not
linked: the paired-conditioning convention, which the legacy parser
followed by role. A linked ``conditioning`` is read alone (the
legacy order). Otherwise every linked input but the core type inputs
(``pass_through.skip_inputs``: model, clip, image, ...) is read.
"""
if slot in (0, 1) and ("positive" in inputs or "negative" in inputs):
value = inputs.get(("positive", "negative")[slot])
return [value] if _link(value) else []
if _link(inputs.get("conditioning")):
return [inputs["conditioning"]]
skipped = self.semantics.pass_through["skip_inputs"]
return [
value
for name, value in inputs.items()
if _link(value) and name not in skipped
]
def through_unknown(self, path: list) -> bool:
"""Whether a followed path passes through a node no rule describes."""
self.scan(len(path))
return any(self.node(step["node_id"])[0] not in self.described for step in path)
def owned(self, path: list) -> bool:
"""Whether a followed path passes through one of this repository's nodes."""
self.scan(len(path))
return any(self.node(step["node_id"])[0] in _OWN_CLASSES for step in path)
def merged(self, node_id: str, slot: int, parts: list) -> Tuple[str, list, str]:
"""One text reached through several followed paths (deduplicated)."""
text, merged, storage_text = self.joined_paths(parts, parts)
@@ -1021,8 +1185,9 @@ class _GraphResolver:
if record is None:
return None
for name in ("text", "negative_text", "prepend_text", "append_text"):
self.verifying += 1
try:
expected = self.text(inputs.get(name, ""), "string")[0]
expected, followed, _ = self.text(inputs.get(name, ""), "string")
except _Unresolved as error:
if self.unverifiable(error):
value = inputs.get(name)
@@ -1043,6 +1208,11 @@ class _GraphResolver:
raise
continue
raise
finally:
self.verifying -= 1
if self.semantics is not None and self.through_unknown(followed):
# A text passed through an unknown node may be transformed there.
continue
if name in ("prepend_text", "append_text"):
expected = expected.strip()
if expected != record[name]:
@@ -1362,6 +1532,121 @@ class _GraphResolver:
_link(inputs.get(key)) for key in stage_inputs["with_model"]
)
def same_conditioning(self, first: str, second: str) -> bool:
"""Whether two listed samplers read the very same conditioning links.
Compared by the sampler table's conditioning inputs (positive and
negative, or a custom sampler's guider): each a link, equal by node ID
text and slot. Then their prompt is one, whatever their stage order.
"""
keys = []
for node_id in (first, second):
name, inputs = self.node(node_id)
conditioning = self.semantics.samplers[name]["conditioning"]
values = []
for role in sorted(conditioning):
value = inputs.get(conditioning[role])
if not _link(value):
return False
values.append((role, str(value[0]), str(value[1])))
keys.append(tuple(values))
return keys[0] == keys[1]
def alone(self, node_id: str) -> bool:
"""Whether a sampler's prompt is its own links' text alone.
True when it sets no prompt override and its latent ancestry reaches no
listed sampler (a plain first stage). Any failure but running out of
visits is ``False``; the walk never recurses into another stage.
"""
name, inputs = self.node(node_id)
entry = self.semantics.samplers[name]
if entry["strategy"] == _DETAILER:
return False
if any(
inputs.get(override) not in (None, "")
for override in entry.get("prompt_overrides", ())
):
return False
value = inputs.get(entry.get("latent")) if entry.get("latent") else None
if value is None:
return True
if not _link(value):
return False
queue, queued = self.walk_from(value)
try:
while queue:
current, depth = queue.popleft()
if current == node_id or depth >= self.max_depth:
return False
self.budget.spend()
name, inputs = self.node(current)
if name in self.stage_classes or self.stage_shaped(name, inputs):
return False
self.enqueue(queue, queued, inputs, depth + 1)
except _Unresolved as error:
if error.code == "work-limit":
raise
return False
return True
def saver_stages(self, file_name: Any) -> Optional[list]:
"""The candidate samplers of the one saver that wrote ``file_name``.
A saver is any node with a ``filename_prefix`` (literal, or traced as a
string) whose last path part makes the file's stem
``<prefix>_<digits>`` with an optional trailing ``_`` (ComfyUI's and
VideoHelperSuite's counters). Exactly one saver must match; its
linked inputs are walked like a detailer's image ancestry. No match,
several, an unreadable walk or no candidate sampler is ``None``: the
file is then judged unanchored, never guessed (#381).
"""
stem = _file_stem(file_name)
if stem is None:
return None
self.budget.reset(self.per_candidate_visits)
try:
matches = [
node_id
for node_id, node in self.graph.items()
if self.writes(node, stem)
]
if len(matches) != 1:
return None
_, inputs = self.node(matches[0])
values = [
value
for name, value in inputs.items()
if name != "filename_prefix" and _link(value)
]
found = self.stages_from(matches[0], values)
except (_Unresolved, _Diverging):
return None
candidates = [
node_id
for node_id in found
if self.graph[node_id]["class_type"] in self.sampler_classes
]
return candidates or None
def writes(self, node: Any, stem: str) -> bool:
"""Whether a node's ``filename_prefix`` names the file ``stem``."""
if not isinstance(node, dict) or not isinstance(node.get("inputs"), dict):
return False
prefix = node["inputs"].get("filename_prefix")
if _link(prefix):
try:
prefix = self.text(prefix, "string")[0]
except _Diverging:
return False
except _Unresolved as error:
if error.code == "work-limit":
raise # an unfinished scan anchors nothing (never a guess)
return False
if not isinstance(prefix, str):
return False
return _counter_of(prefix.replace("\\", "/").split("/")[-1], stem)
def upstream_stages(self, origin: str, value: Any) -> list:
"""Samplers reached from a detailer's image input, in breadth-first order.
@@ -1370,8 +1655,18 @@ class _GraphResolver:
"""
if not _link(value):
raise _Unresolved("Expected an image link", "malformed")
return self.stages_from(origin, [value])
def stages_from(self, origin: str, values: list) -> list:
"""``upstream_stages`` from several start links, queued in order once."""
found: list = []
queue, queued = self.walk_from(value)
queue: deque = deque()
queued: set = set()
for value in values:
start = str(value[0])
if start not in queued:
queued.add(start)
queue.append((start, 0))
while queue:
node_id, depth = queue.popleft()
if node_id == origin:
@@ -1563,17 +1858,20 @@ class _GraphResolver:
"""
pending: list = [{}]
results: list = []
several = False
try:
while pending:
self.choices = pending.pop(0)
try:
results.append(self.stage(sampler_id, frozenset()))
except _Diverging as diverging:
if len(results) + len(pending) + 2 > _MAX_BRANCH_CANDIDATES:
count = len(diverging.choices)
if len(results) + len(pending) + count > _MAX_BRANCH_CANDIDATES:
raise _Unresolved("Too many selector branches", "work-limit")
several = several or diverging.sources
pending.extend(
{**self.choices, diverging.key: choice}
for choice in (True, False)
for choice in diverging.choices
)
except _Unresolved as error:
return _result(
@@ -1587,12 +1885,18 @@ class _GraphResolver:
self.choices = {}
if all(item["state"] == "unresolved" for item in results):
return results[0]
if several:
# Chained unknown nodes can offer one text twice: list it once.
unique: dict = {}
for item in results:
unique.setdefault(_outcome_key(item), item)
results = list(unique.values())
if len({_outcome_key(item) for item in results}) == 1:
return results[0]
return _result(
"ambiguous",
sampler_id=sampler_id,
reason="Selector branches have different prompts",
reason=SEVERAL_SOURCES_REASON if several else SELECTOR_BRANCHES_REASON,
candidates=results,
)
@@ -1750,6 +2054,10 @@ class _GraphResolver:
if not traced:
lineage, traced = self.lineage_predecessor(value), True
if node_id != lineage:
if self.same_conditioning(origin, node_id) and self.alone(node_id):
# Same positive and negative links: the same prompt
# whichever stage this is (#381).
continue
# Not the one continued stage: no stage's prompt is chosen.
raise _Unresolved(MULTISTAGE_UNATTRIBUTED_REASON)
earlier = node_id
@@ -1883,6 +2191,26 @@ def _parameters(value: Any, max_text_length: int, inspection: bool = False) -> d
return _result("resolved", positive_side, negative_side)
def _file_stem(file_name: Any) -> Optional[str]:
"""A file name's last path part without its extension, or ``None``."""
if not isinstance(file_name, str) or not file_name:
return None
base = file_name.replace("\\", "/").split("/")[-1]
dot = base.rfind(".")
stem = base[:dot] if dot > 0 else base
return stem or None
def _counter_of(prefix: str, stem: str) -> bool:
"""Whether ``stem`` is ``prefix`` + ``_`` + ASCII digits [+ ``_``]."""
if not prefix or not stem.startswith(prefix + "_"):
return False
rest = stem[len(prefix) + 1 :]
if rest.endswith("_"):
rest = rest[:-1]
return rest != "" and all("0" <= char <= "9" for char in rest)
def _profile_with(
profile: ResolverProfile,
max_visits: Optional[int],
@@ -1927,6 +2255,7 @@ def resolve_prompt_pair(
max_visits: Optional[int] = None,
max_depth: Optional[int] = None,
max_text_length: Optional[int] = None,
file_name: Optional[str] = None,
) -> Dict[str, Any]:
"""Resolve parsed metadata; a present API graph is authoritative over text.
@@ -1937,9 +2266,11 @@ def resolve_prompt_pair(
``sampler_id`` (the inspection profile first drops stages that only reach
previews).
``profile`` selects the bounds; explicit ``max_*`` keywords override it.
``file_name`` (inspection only, unanchored) anchors on the one saver that
wrote that file (``_GraphResolver.saver_stages``) when exactly one matches.
"""
profile = _profile_with(profile, max_visits, max_depth, max_text_length)
result = _resolve(metadata, output_node_id, adapters, profile)
result = _resolve(metadata, output_node_id, adapters, profile, file_name)
return _legacy_result(result) if profile.legacy else result
@@ -1992,6 +2323,7 @@ def _resolve(
output_node_id: Optional[str],
adapters: Optional[Mapping[Tuple[str, int], OutputAdapter]],
profile: ResolverProfile,
file_name: Optional[str] = None,
) -> Dict[str, Any]:
if not isinstance(metadata, dict) or not metadata:
return _result("absent", reason="No parsed prompt metadata")
@@ -2047,14 +2379,19 @@ def _resolve(
"unresolved", reason=str(error), reason_code=error.code, node=error.node
)
else:
sampler_ids = [
anchored = (
resolver.saver_stages(file_name)
if semantics is not None and file_name is not None
else None
)
sampler_ids = anchored or [
node_id
for node_id, node in normalized.items()
if isinstance(node, dict)
and isinstance(node.get("class_type"), str)
and node["class_type"] in resolver.sampler_classes
]
if semantics is not None:
if semantics is not None and anchored is None:
sampler_ids = resolver.final_stages(sampler_ids)
if not sampler_ids:
return _no_sampler(normalized, profile)
+23
View File
@@ -246,6 +246,29 @@
],
"with_model": ["conditioning", "neg_conditioning", "samples", "latent"]
},
"pass_through": {
"skip_inputs": [
"model",
"clip",
"vae",
"clip_vision",
"clip_vision_output",
"control_net",
"style_model",
"upscale_model",
"image",
"images",
"pixels",
"mask",
"latent",
"latent_image",
"samples",
"noise",
"sampler",
"sigmas",
"guider"
]
},
"facts": {
"configuration_outputs": {
"RandomNoise": { "kind": "noise", "fields": ["noise_seed"] },
+4 -4
View File
@@ -106,9 +106,9 @@ export function toInspectionRead(classification, result) {
const dimension = value => Number.isSafeInteger(value) && value > 0 ? value : null;
/** The roles for one local read (`{prompts, resolution}`): the bounded parse and resolution step of buildLocalPayload. */
export function localEvidence(read, classification, semantics = null) {
export function localEvidence(read, classification, semantics = null, fileName = null) {
const inspection = toInspectionRead(classificationOf(classification), read);
return inspection.read === null ? unreadableEvidence() : resolveLocalEvidence(inspection.read.records, semantics);
return inspection.read === null ? unreadableEvidence() : resolveLocalEvidence(inspection.read.records, semantics, fileName);
}
/**
@@ -117,7 +117,7 @@ export function localEvidence(read, classification, semantics = null) {
* "unavailable" as the server does), so the legacy fill in projectInspectionPayload applies exactly where it does
* for Images.
*/
export function buildLocalPayload({ read, file, classification, semantics = null, evidence = localEvidence(read, classification, semantics) }) {
export function buildLocalPayload({ read, file, classification, semantics = null, evidence = localEvidence(read, classification, semantics, file?.name ?? null) }) {
const classified = classificationOf(classification);
const inspection = toInspectionRead(classified, read);
const filename = sanitizeLocalFilename(file?.name);
@@ -211,7 +211,7 @@ export const localFileAdapter = Object.freeze({
}
const semantics = await untilAborted(loadInspectionSemantics(), signal);
await yieldControl(signal);
const evidence = localEvidence(result, secret.classification, semantics);
const evidence = localEvidence(result, secret.classification, semantics, secret.filename);
await yieldControl(signal);
const file = { name: secret.filename, size: secret.file.size, lastModified: secret.file.lastModified };
const payload = buildLocalPayload({ read: result, file, classification: secret.classification, semantics, evidence });
+58 -2
View File
@@ -129,7 +129,16 @@ function compositeOf(resolver, value) {
/** `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');
const found = [], start = String(value[0]), queue = [[start, 0]], queued = new Set([start]);
return stagesFrom(resolver, origin, [value]);
}
/** `stages_from`: `upstream_stages` from several start links, queued in order once. */
export function stagesFrom(resolver, origin, values) {
const found = [], queue = [], queued = new Set();
for (const value of values) {
const start = String(value[0]);
if (!queued.has(start)) { queued.add(start); queue.push([start, 0]); }
}
for (let head = 0; head < queue.length; head++) {
const [nodeId, depth] = queue[head];
if (nodeId === origin) throw new Unresolved('Cyclic sampler stage ancestry', 'malformed');
@@ -296,6 +305,49 @@ function lineagePredecessor(resolver, value) {
}
/** `latent_stages`: the one earlier sampler a latent continues, null for a single stage; else unattributed. */
/** `same_conditioning`: whether two listed samplers read the very same conditioning links. */
function sameConditioning(resolver, first, second) {
const keys = [];
for (const nodeId of [first, second]) {
const [name, inputs] = resolver.node(nodeId);
const conditioning = resolver.semantics.samplers.get(name).conditioning;
const values = [];
for (const role of Object.keys(conditioning).sort()) {
const value = pyGet(inputs, conditioning[role]);
if (!isLink(value)) return false;
values.push([role, String(value[0]), String(value[1])]);
}
keys.push(JSON.stringify(values));
}
return keys[0] === keys[1];
}
/** `alone`: no prompt override set and no listed sampler in its latent ancestry (a plain first stage). */
function alone(resolver, nodeId) {
let [name, inputs] = resolver.node(nodeId);
const entry = resolver.semantics.samplers.get(name);
if (entry.strategy === DETAILER) return false;
if ((entry.prompt_overrides ?? []).some(override => { const value = pyGet(inputs, override); return value !== null && value !== undefined && value !== ''; })) return false;
const value = entry.latent ? pyGet(inputs, entry.latent) : null;
if (value === null || value === undefined) return true;
if (!isLink(value)) return false;
const start = String(value[0]), queue = [[start, 0]], queued = new Set([start]);
try {
for (let head = 0; head < queue.length; head++) {
const [current, depth] = queue[head];
if (current === nodeId || depth >= resolver.maxDepth) return false;
resolver.budget.spend();
[name, inputs] = resolver.node(current);
if (resolver.stageClasses.has(name) || resolver.stageShaped(name, inputs)) return false;
resolver.enqueue(queue, queued, inputs, depth + 1);
}
} catch (error) {
if (!(error instanceof Unresolved) || error.code === 'work-limit') throw error;
return false;
}
return true;
}
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]);
@@ -308,7 +360,11 @@ export function latentStages(resolver, origin, value) {
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);
if (nodeId !== lineage) {
// Same positive and negative links: the same prompt whichever stage this is (#381).
if (sameConditioning(resolver, origin, nodeId) && alone(resolver, nodeId)) continue;
throw new Unresolved(MULTISTAGE_UNATTRIBUTED_REASON);
}
earlier = nodeId;
continue;
}
+29 -1
View File
@@ -29,6 +29,15 @@ export const ZEROED_SOURCE = 'zeroed-conditioning';
export const MAX_BRANCH_CANDIDATES = 32;
export const RUNTIME_REASON = 'Text is decided at run time';
export const EMPTY_POSITIVE_REASON = 'Positive prompt is empty';
// #381: different texts reach one sampler through unknown nodes (one candidate each).
export const SEVERAL_SOURCES_REASON = 'Several prompts reach the sampler';
export const SELECTOR_BRANCHES_REASON = 'Selector branches have different prompts';
// Failures that bound the work: never skipped by a pass-through walk (`_LIMIT_CODES`).
export const PASS_LIMIT_CODES = new Set(['work-limit', 'depth-limit', 'text-limit']);
export const PASS_THROUGH = 'pass-through';
export const PASSED_UNVERIFIABLE = 'Text passed through an unknown node is not verifiable';
// Classes traced by code, not by the table (`_CODED_CLASSES`).
export const CODED_CLASSES = ['Reroute', 'StringConcatenate', 'Text Concatenate'];
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';
@@ -96,6 +105,8 @@ const historical = [
];
for (const name of ['PromptManagerPositive', 'PromptManagerDetailer']) historical.push([name, 0, 'text', 'conditioning', COMMA], [name, 1, 'text', 'string', COMMA]);
for (const [name, slot, input, kind, options] of historical) ADAPTERS.set(slotKey(name, slot), adapter(input, kind, options));
// This repository's own classes (`_OWN_CLASSES`): authoritative through unknown nodes (#381).
export const OWN_CLASSES = new Set([...ADAPTERS.keys()].map(key => key.split('\u0000')[0]).filter(name => name.startsWith('PromptManager')));
// `known_slots` in execution_record: every adapter slot per class.
export const ADAPTER_SLOTS = new Map();
for (const key of ADAPTERS.keys()) {
@@ -112,9 +123,13 @@ export class Unresolved extends Error {
}
}
export class Diverging extends Error {
constructor(key) {
/** A selector's choices are [true, false]; an unknown node's are 0..n-1, one per distinct text (#381). */
constructor(key, choices, sources = false) {
super('diverging');
this.key = key;
this.choices = choices;
// Raised by an unknown node passing several texts (the outcome's reason).
this.sources = sources;
}
}
@@ -247,9 +262,22 @@ export function compileSemantics(doc) {
}
const stageInputs = doc.stage_inputs;
if (!plain(stageInputs) || !Array.isArray(stageInputs.shaped) || !Array.isArray(stageInputs.with_model)) fail('stage_inputs');
// #381: core type inputs an unknown node's text is never read through.
const passThrough = doc.pass_through;
if (!plain(passThrough) || Object.keys(passThrough).length !== 1 || !Array.isArray(passThrough.skip_inputs) ||
!passThrough.skip_inputs.length || passThrough.skip_inputs.some(name => typeof name !== 'string' || !name) ||
new Set(passThrough.skip_inputs).size !== passThrough.skip_inputs.length ||
['text', 'positive', 'negative', 'conditioning'].some(name => passThrough.skip_inputs.includes(name))) fail('pass_through');
// Classes the facts tables describe (loaders, model patches, configuration and scalar outputs).
const facts = doc.facts;
if (!plain(facts) || !plain(facts.configuration_outputs) || !plain(facts.model_outputs) || !Array.isArray(facts.model_passthroughs) ||
!plain(facts.scalar_outputs)) fail('facts');
const factClasses = new Set([...Object.keys(facts.configuration_outputs), ...Object.keys(facts.model_outputs), ...facts.model_passthroughs,
...Object.keys(facts.scalar_outputs)]);
return Object.freeze({
samplers, guiders, selectors, composites, savers, conditioning, encoders, strings, runtime, nonFileOutputs, lineage,
stageInputs: { shaped: [...stageInputs.shaped], withModel: [...stageInputs.with_model] }, allClasses: new Set(owners.keys()),
skipInputs: new Set(passThrough.skip_inputs), factClasses,
});
}
+167 -18
View File
@@ -23,7 +23,14 @@ import {
MAX_JOIN_INPUTS,
MAX_SUBGRAPH_DEPTH,
MAX_WORKFLOW_NODES,
CODED_CLASSES,
NO_SAMPLER_NAMES,
OWN_CLASSES,
PASS_LIMIT_CODES,
PASS_THROUGH,
SELECTOR_BRANCHES_REASON,
SEVERAL_SOURCES_REASON,
PASSED_UNVERIFIABLE,
OVERWRITTEN_PROMPT_REASON,
PROFILE,
ROLE_METADATA_KEYS,
@@ -45,7 +52,7 @@ import {
sideOf,
slotKey,
} from './local-resolver-support.mjs';
import { finalStages, latentStages, outcomeKey, promptPart, sharedPair, stage } from './local-resolver-stages.mjs';
import { finalStages, latentStages, outcomeKey, promptPart, sharedPair, stage, stagesFrom } from './local-resolver-stages.mjs';
import { parameters } from './local-parameters.mjs';
export { SemanticsError, compileSemantics, readPairExecution, outcomeMessage, isLink } from './local-resolver-support.mjs';
@@ -76,8 +83,13 @@ class GraphResolver {
this.latentWalks = new Map();
this.latentCharged = new Set();
this.semantics = semantics;
// Nesting depth of execution-record checks (`passed`).
this.verifying = 0;
this.samplerClasses = new Set([...semantics.samplers].filter(([, entry]) => CANDIDATE_STRATEGIES.has(entry.strategy)).map(([name]) => name));
this.stageClasses = new Set(semantics.samplers.keys());
// `described`: an unlisted output of one of these stays `unsupported-node`; any other class passes through (#381).
this.described = new Set([...semantics.allClasses, ...[...semantics.lineage.keys()].map(key => key.split('\u0000')[0]),
...[...ADAPTERS.keys()].map(key => key.split('\u0000')[0]), ...CODED_CLASSES, ...semantics.factClasses]);
}
node(nodeId) {
@@ -156,7 +168,7 @@ class GraphResolver {
[text, path, storageText] = this.text(inputs.get(keys[0]), kind, depth + 1);
this.inheritSource(nodeId, slot, [path]);
} else if (adapted) {
if (adapted.kind !== kind) throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed');
if (kind !== 'any' && adapted.kind !== kind) throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed');
const evidence = name === 'PromptManagerPair' ? this.executionRecord(nodeId, inputs) : null;
if (evidence !== null) {
text = evidence[adapted.inputName === 'text' ? 'positive_text' : 'negative_effective_text'];
@@ -178,11 +190,13 @@ class GraphResolver {
if (omitted.length) this.omitting.add(slotKey(nodeId, slot));
}
}
} else if ((name === 'StringConcatenate' || name === 'Text Concatenate') && slot === 0 && kind === 'string') {
} else if ((name === 'StringConcatenate' || name === 'Text Concatenate') && slot === 0 && (kind === 'string' || kind === 'any')) {
[text, path] = this.concatenate(name, inputs, depth);
storageText = text;
} else if (this.follows(name, slot, kind)) {
[text, path, storageText] = this.semantic(nodeId, name, slot, kind, inputs, depth);
} else if (!this.described.has(name)) {
[text, path, storageText] = this.passed(nodeId, slot, kind, inputs, depth);
} else {
throw this.unsupported('Unsupported node semantics or output slot', nodeId);
}
@@ -258,7 +272,7 @@ class GraphResolver {
if (semantics.runtime.has(name)) return true;
if (semantics.encoders.has(key) || semantics.strings.has(key)) return true;
if (slot === 0 && semantics.selectors.has(name)) return true;
return kind === 'conditioning' && (semantics.conditioning.has(key) || (slot === 0 && semantics.composites.has(name)));
return (kind === 'conditioning' || kind === 'any') && (semantics.conditioning.has(key) || (slot === 0 && semantics.composites.has(name)));
}
semantic(nodeId, name, slot, kind, inputs, depth) {
@@ -267,11 +281,11 @@ class GraphResolver {
for (const [table, expected, build] of [[semantics.encoders, 'conditioning', 'encoded'], [semantics.strings, 'string', 'stringed']]) {
const listed = table.get(key);
if (listed !== undefined) {
if (kind !== expected) throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed');
if (kind !== expected && kind !== 'any') throw new Unresolved(INCOMPATIBLE_SLOT, 'malformed');
return this[build](nodeId, listed, inputs, depth);
}
}
const entry = kind === 'conditioning' ? semantics.conditioning.get(key) : undefined;
const entry = kind === 'conditioning' || kind === 'any' ? semantics.conditioning.get(key) : undefined;
if (entry !== undefined && entry.strategy === 'zeroed') {
this.textSources.set(slotKey(nodeId, slot), ZEROED_SOURCE);
return ['', [], ''];
@@ -302,10 +316,114 @@ class GraphResolver {
return traced;
}
const parts = ['true', 'false'].map(label => this.text(pyGet(inputs, branches[label]), kind, depth + 1));
if (parts[0][0] !== parts[1][0]) throw new Diverging(slotKey(String(condition[0]), condition[1]));
if (parts[0][0] !== parts[1][0]) throw new Diverging(slotKey(String(condition[0]), condition[1]), [true, false]);
return this.merged(nodeId, 0, parts);
}
/** `passed`: `readThrough`, except that while an execution record is checked any outcome but `work-limit` is unverifiable. */
passed(nodeId, slot, kind, inputs, depth) {
if (!this.verifying) return this.readThrough(nodeId, slot, kind, inputs, depth);
try {
return this.readThrough(nodeId, slot, kind, inputs, depth);
} catch (error) {
if (error instanceof Unresolved && error.code === 'work-limit') throw error;
if (error instanceof Unresolved || error instanceof Diverging) throw this.unsupported(PASSED_UNVERIFIABLE, nodeId);
throw error;
}
}
/** `read_through` (#381): an output no rule describes passes its text through; PromptManager nodes are authoritative. */
readThrough(nodeId, slot, kind, inputs, depth) {
// A string output of a node with a seed input is generated at run time (a language model, a wildcard).
// With a linked conditioning input it is a conditioning transform (noise) instead.
if (kind === 'string' && [...inputs.keys()].some(name => name.endsWith('seed')) &&
!['conditioning', 'positive', 'negative'].some(name => isLink(pyGet(inputs, name)))) throw this.named(RUNTIME_REASON, 'runtime-value', nodeId);
if (inputs.has('text')) {
const traced = this.text(inputs.get('text'), 'string', depth + 1);
this.inheritSource(nodeId, slot, [traced[1]]);
return traced;
}
let found = [], blocking = null;
for (const value of this.passInputs(slot, inputs)) {
try {
found.push(this.text(value, 'any', depth + 1));
} catch (error) {
if (!(error instanceof Unresolved) || PASS_LIMIT_CODES.has(error.code)) throw error;
if (error.code !== 'unsupported-node' && blocking === null) blocking = error;
}
}
const owned = found.filter(traced => this.owned(traced[1]));
if (owned.length) found = owned;
else if (blocking !== null) throw blocking;
if (!found.length) throw this.unsupported('Unsupported node semantics or output slot', nodeId);
const texts = [...new Set(found.map(traced => traced[0]))];
if (texts.length === 1) return this.merged(nodeId, slot, found);
if (texts.length > MAX_BRANCH_CANDIDATES) throw new Unresolved('Too many selector branches', 'work-limit');
// JSON escapes U+0000, so this never equals a selector's raw `slotKey` (Python: a 3-tuple vs a 2-tuple).
const key = JSON.stringify([PASS_THROUGH, nodeId, slot]);
if (!this.choices.has(key)) throw new Diverging(key, texts.map((_, index) => index), true);
this.tainted = true;
const chosen = texts[this.choices.get(key)];
return this.merged(nodeId, slot, found.filter(traced => traced[0] === chosen));
}
/** `pass_inputs`: the role input by output slot, else `conditioning`, else every linked non-type input. */
passInputs(slot, inputs) {
if ((slot === 0 || slot === 1) && (inputs.has('positive') || inputs.has('negative'))) {
const value = pyGet(inputs, slot === 0 ? 'positive' : 'negative');
return isLink(value) ? [value] : [];
}
if (isLink(pyGet(inputs, 'conditioning'))) return [inputs.get('conditioning')];
return [...inputs].filter(([name, value]) => isLink(value) && !this.semantics.skipInputs.has(name)).map(([, value]) => value);
}
/** `saver_stages` (#381): the candidate samplers of the one saver whose prefix names the file, or null (never guessed). */
saverStages(fileName) {
const stem = fileStem(fileName);
if (stem === null) return null;
this.budget.reset(this.perCandidateVisits);
let found;
try {
const matches = [...this.graph].filter(([, node]) => this.writes(node, stem)).map(([id]) => id);
if (matches.length !== 1) return null;
const [, inputs] = this.node(matches[0]);
const values = [...inputs].filter(([name, value]) => name !== 'filename_prefix' && isLink(value)).map(([, value]) => value);
found = stagesFrom(this, matches[0], values);
} catch (error) {
if (error instanceof Unresolved || error instanceof Diverging) return null;
throw error;
}
const candidates = found.filter(id => this.samplerClasses.has(this.graph.get(id).get('class_type')));
return candidates.length ? candidates : null;
}
/** `writes`: whether a node's `filename_prefix` (literal or traced) names the file `stem`. */
writes(node, stem) {
if (!isDict(node) || !isDict(pyGet(node, 'inputs'))) return false;
let prefix = pyGet(node.get('inputs'), 'filename_prefix');
if (isLink(prefix)) {
try { prefix = this.text(prefix, 'string')[0]; } catch (error) {
// An unfinished scan anchors nothing (never a guess): work-limit ends the match scan.
if (error instanceof Diverging || (error instanceof Unresolved && error.code !== 'work-limit')) return false;
throw error;
}
}
if (typeof prefix !== 'string') return false;
return counterOf(prefix.replaceAll('\\', '/').split('/').at(-1), stem);
}
/** `through_unknown`: whether a followed path passes through a node no rule describes. */
throughUnknown(path) {
this.scan(path.length);
return path.some(step => !this.described.has(this.node(step.node_id)[0]));
}
/** `owned`: whether a followed path passes through one of this repository's nodes. */
owned(path) {
this.scan(path.length);
return path.some(step => OWN_CLASSES.has(this.node(step.node_id)[0]));
}
merged(nodeId, slot, parts) {
const traced = this.joinedPaths(parts, parts);
this.inheritSource(nodeId, slot, parts.map(part => part[1]));
@@ -421,9 +539,10 @@ class GraphResolver {
const record = readPairExecution(this.metadata, nodeId);
if (record === null) return null;
for (const name of ['text', 'negative_text', 'prepend_text', 'append_text']) {
let expected;
let expected, followed;
this.verifying += 1;
try {
expected = this.text(pyGet(inputs, name, ''), 'string')[0];
[expected, followed] = this.text(pyGet(inputs, name, ''), 'string');
} catch (error) {
if (error instanceof Unresolved && this.unverifiable(error)) {
const value = pyGet(inputs, name);
@@ -436,7 +555,11 @@ class GraphResolver {
continue;
}
throw error;
} finally {
this.verifying -= 1;
}
// A text passed through an unknown node may be transformed there.
if (this.throughUnknown(followed)) continue;
if (name === 'prepend_text' || name === 'append_text') expected = pyStrip(expected);
if (expected !== record[name]) throw new Unresolved('Execution evidence does not match recorded node inputs', 'malformed');
}
@@ -491,7 +614,8 @@ class GraphResolver {
}
branches(samplerId) {
const pending = [new Map()], results = [];
const pending = [new Map()];
let results = [], several = false;
try {
while (pending.length) {
this.choices = pending.shift();
@@ -499,8 +623,9 @@ class GraphResolver {
results.push(stage(this, samplerId, new Set()));
} catch (error) {
if (!(error instanceof Diverging)) throw error;
if (results.length + pending.length + 2 > MAX_BRANCH_CANDIDATES) throw new Unresolved('Too many selector branches', 'work-limit');
for (const choice of [true, false]) pending.push(new Map([...this.choices, [error.key, choice]]));
if (results.length + pending.length + error.choices.length > MAX_BRANCH_CANDIDATES) throw new Unresolved('Too many selector branches', 'work-limit');
several = several || error.sources;
for (const choice of error.choices) pending.push(new Map([...this.choices, [error.key, choice]]));
}
}
} catch (error) {
@@ -510,8 +635,14 @@ class GraphResolver {
this.choices = new Map();
}
if (results.every(item => item.state === 'unresolved')) return results[0];
if (several) {
// Chained unknown nodes can offer one text twice: list it once.
const unique = new Map();
for (const item of results) if (!unique.has(outcomeKey(item))) unique.set(outcomeKey(item), item);
results = [...unique.values()];
}
if (new Set(results.map(outcomeKey)).size === 1) return results[0];
return result('ambiguous', { samplerId, reason: 'Selector branches have different prompts', candidates: results });
return result('ambiguous', { samplerId, reason: several ? SEVERAL_SOURCES_REASON : SELECTOR_BRANCHES_REASON, candidates: results });
}
sides(samplerId) {
@@ -673,8 +804,25 @@ function overwrittenPromptNodes(workflow, graph) {
return found;
}
/** `_resolve` for an unanchored inspection (output_node_id None). */
function resolve(metadata, semantics) {
/** `_file_stem`: a file name's last path part without its extension, or null. */
function fileStem(fileName) {
if (typeof fileName !== 'string' || !fileName) return null;
const base = fileName.replaceAll('\\', '/').split('/').at(-1);
const dot = base.lastIndexOf('.');
const stem = dot > 0 ? base.slice(0, dot) : base;
return stem || null;
}
/** `_counter_of`: whether `stem` is `prefix` + `_` + ASCII digits [+ `_`]. */
function counterOf(prefix, stem) {
if (!prefix || !stem.startsWith(`${prefix}_`)) return false;
let rest = stem.slice(prefix.length + 1);
if (rest.endsWith('_')) rest = rest.slice(0, -1);
return rest !== '' && /^[0-9]+$/.test(rest);
}
/** `_resolve` for an unanchored inspection (output_node_id None); `fileName` anchors on its saver (#381). */
function resolve(metadata, semantics, fileName = null) {
if (!isDict(metadata) || !metadata.size) return result('absent', { reason: 'No parsed prompt metadata' });
let graph;
if (metadata.has('prompt')) graph = metadata.get('prompt');
@@ -688,7 +836,8 @@ function resolve(metadata, semantics) {
overwritten = overwrittenPromptNodes(pyGet(metadata, 'workflow'), graph);
}
const resolver = new GraphResolver(graph, metadata.has('prompt') ? metadata : null, semantics, overwritten);
const samplerIds = finalStages(resolver, [...graph].filter(([, node]) => isDict(node) && typeof pyGet(node, 'class_type') === 'string' &&
const anchored = fileName === null ? null : resolver.saverStages(fileName);
const samplerIds = anchored ?? finalStages(resolver, [...graph].filter(([, node]) => isDict(node) && typeof pyGet(node, 'class_type') === 'string' &&
resolver.samplerClasses.has(node.get('class_type'))).map(([id]) => id));
if (!samplerIds.length) return noSampler(graph);
if (samplerIds.length > 1) {
@@ -734,7 +883,7 @@ export function unreadableEvidence() {
* local read found (`{prompt, workflow, parameters, comfyassets_prompt_pairs}` texts). `semantics` is
* `compileSemantics(...)`'s table, or null when it could not be loaded.
*/
export function resolveLocalEvidence(records, semantics) {
export function resolveLocalEvidence(records, semantics, fileName = null) {
const source = records !== null && typeof records === 'object' ? records : {};
const metadata = new Map(Object.entries(source).filter(([key]) => ROLE_METADATA_KEYS.has(key)));
const malformedResolution = { state: 'unresolved', sampler_id: null, reason: MALFORMED_EVIDENCE_REASON, reason_code: 'malformed', node: null };
@@ -754,7 +903,7 @@ export function resolveLocalEvidence(records, semantics) {
}
const workflow = mayHoldPromptManager(metadata) ? parsedWorkflow(source.workflow ?? null) : null;
if (workflow !== null && metadata.has('prompt')) metadata.set('workflow', workflow);
const resolved = resolve(metadata, semantics);
const resolved = resolve(metadata, semantics, fileName);
const state = resolved.state, prompts = {};
for (const role of ['positive', 'negative']) {
const side = resolved[role];