feat(ingestion): one prompt decision for scan and monitor; scans link each dataset branch's own prompt (#247, PR 1) (#422)

* feat(inspector): use recorded run history when the graph alone can't name the prompt (#386)

When a file's own graph leaves the prompt open, both inspect routes ask
recorded run history about the file (one run reported it and it was written
during that run). The save node that run reported it from anchors the walk
like a file-name match, so dataset branches that share one saver prefix
show their own prompt, labelled "Recorded run". Still open at one sampler
whose PromptManager text was recorded at execution (a language model's
output), the recorded text shows as "Execution recorded". Results the file
resolves alone never change; a failed lookup judges the file alone.

* fix(inspector): recorded texts follow history's saver; conflicts anchor nothing (#386)

Review follow-ups: the texts PromptManager recorded are looked up at the
sampler history's saver leads to, never at a sampler the unanchored walk
named; a file name naming a different saver than history anchors nothing;
outputs and texts are read in one transaction; "Recorded run" ranks below
every workflow-inferred source; unexpected lookup errors log at error level.

* fix(history): look up recorded runs by history's own spelling of the file (#386)

The history route inspects a case-normalized target on Windows, while
history matches file names exactly, so the occurrence's reference names
the file.

* refactor(inspector): share the inspector's resolve as inspection_resolution

inspect_prompt_evidence now calls inspection_resolution, which returns the
resolution to use, the anchored result and whether the recorded saver chose
it. Ingestion can call the same helper for files the default profile cannot
decide (#247).

* feat(ingestion): one per-file prompt decision for the scan and the monitor

utils/file_prompt.py holds decide_file_prompt, the ladder the output scan
runs today plus the inspector's rule (inspection profile, then the recorded
saver) before the legacy parser, with a SCAN and a MONITOR policy. Junk
text (blank, numbers, LoRA tags only, model file names) is never stored.
graph_prompt_text and parse_comfyui_prompt move here; the parser accepts
parsed metadata (#247).

* feat(ingestion): store a file's prompt in one transaction, one prompt per file

database/scanned_prompts.py links a file to the prompt of one text, creating
it when new, inside one BEGIN IMMEDIATE transaction: a file linked to
another prompt is a conflict, a failed link leaves no prompt behind and two
writers store one prompt. pair_ingestion gains file_link_rows,
link_conflict and Marks/mark_created; ingest_resolved_pair takes optional
marks for the components it creates. recorded_runs and named_prompt in
run_attribution become public (#247).

* feat(scan): decide each scanned file with the shared ladder (#247)

_ingest_scanned_file calls decide_file_prompt (scan policy) and stores the
result: pairs through ingest_resolved_pair and positives through
store_scanned_prompt, both with the scan marks. Files the default profile
leaves undecided now get the inspector's resolve, with the saver recorded
history names, before the legacy parser, so each branch of a shared-prefix
dataset run links its own prompt. Junk text is never stored, a file linked
to another prompt is a conflict instead of a second link, and a failed link
leaves no prompt behind. _BatchHistory reads the stored prompt and the
recorded saver from one recorded_runs pass. _parse_comfyui_prompt calls the
moved parse_comfyui_prompt. TESTING.md documents the decision.

* fix(ingestion): keep the file-name saver anchor out of the ladder (#390)

The #390 ruling queues a file that only its saver's file name resolves for
Needs review, never linking it. inspection_resolution gains name_anchor;
the ladder passes False, so such a file falls to the legacy floor in the
scan (and to Needs review) and is never stored by the monitor, while the
recorded saver still decides. The inspector keeps the name anchor.

* fix(ingestion): no joined PromptManager text from the legacy floor; junk keeps its step's status

The legacy parser returns prepend + text + append, so its answer is refused
when a PromptManager-family node has a prepend or append part (#343). Junk
found at the undecided-graph step keeps that step's unlinked status and
review, so an ambiguous file is still queued for Needs review. The monitor
policy's ambiguous file no longer asks for the recorded run, and the file
size may be read lazily.

* fix(ingestion): keep the legacy answer that is a PromptManager node's own text

The joined-text refusal also refused the #170 parity files whose
PromptManager prepend is a link the browser parser does not follow: its
answer is then the node's literal text, which is what the node stores.
Refuse only an answer that is not such a node's own text.

* fix(scan): one prompt per file for recorded-run links; writes survive a library move

The recorded run's stored prompt now links in one transaction with the file's
link rows, so a file linked to another prompt is a conflict instead of a
second link. The scan's stores run through survive_library_switch. A single
file asks history once (a one-file _BatchHistory), the scan passes
in_output=False and reads the file size only for files with prompt
metadata. A conflict row reads "Kept: already linked to a different
prompt". TESTING.md records the rules.

* fix(ingestion): match a file's link rows under its resolved spelling too

The scan stores realpath spellings and the monitor the watcher's raw path,
so a file reached through a symlinked or junction output folder could get a
second generated_images row. file_link_rows now queries the path and its
realpath (each normalized and raw) and dedupes by row id. TESTING.md notes
the reverse order is matched only when the raw spelling is the realpath.

* fix(ingestion): a switched-off PromptManager node behind a pass-through stores nothing (#90)

The #90 graph walk follows only prompt-like inputs, so a PromptManagerText
with Save to library off reaching the encoder through another input name
(easy showAnything.anything, a custom node's value) was invisible to it,
and the inspector's resolve stored its text. The ladder now checks the
positive every step names: a resolved or inspected positive whose path
passes a node that is off, or a legacy answer that is such a node's own
text, makes the file not_saved.

* fix(ingestion): any switched-off node upstream of a positive stores nothing (#90)

The ladder walks every input upstream of each sampler or guider positive
(not negative, model, clip, latent or image inputs) for PromptManager nodes
whose Save to library is off or wired from an unreadable node, so the
sampler-less step, an off node with a prepend part and a PromptManagerPair
behind a pass-through no longer store its text. The legacy-floor guard reads
a node's resolved text. Every guard reports not_saved for a switch that is
off and not_saved_wired for one it cannot read.

* fix(ingestion): the switch walk skips negative inputs by #90's own rule

The upstream walk treated only names containing "negative" as negative, so
an off node on a neg, neg_text or text_neg input blocked an enabled
positive. prompt_graph gains is_negative_input (the _NEGATIVE_KEY rule, also
used by follows_input) and the walk uses it. The guards accept a node with
null inputs and a side whose provenance is not an object.

* fix(ingestion): the switch walk also skips any input named with "negative"

#90's rule matches only whole underscore-separated words, so negative2,
negativeprompt and NegativePrompt counted as positive inputs and an off
node wired only to one of them blocked the file. The walk skips those too;
follows_input is unchanged.
This commit is contained in:
Vito
2026-10-28 20:45:15 +00:00
committed by GitHub
parent 41027aa1b1
commit 39877202b2
17 changed files with 2613 additions and 444 deletions
+69
View File
@@ -5342,6 +5342,75 @@ same as a file the scan could not attribute, so the file stays on disk and in th
gallery as unlinked, and its favorite and tags (kept by file) are untouched. Every
run prints this. Queue-linked batch images can't be proven after the fact and read
`unlink`, so review before applying. Stop ComfyUI first.
### Foreign workflows (#247): the shared per-file decision
The output scan decides each file through `utils/file_prompt.py`
(`decide_file_prompt`, the ladder), which the monitor will share for outputs of
workflows without a PromptManager node. It does no file or database I/O.
- **Save to library (#90).** Before anything else, a file whose PromptManager
node had Save to library off is `not_saved`, and one whose switch is wired
from a node the file cannot show is `not_saved_wired`: nothing is written, no
recorded-run fallback, no Needs review item. A resolved pair whose negative's
node is off stores the positive alone (source `opted-out-negative`). The
#90 graph walk follows only prompt-like inputs, so the ladder also walks
every input upstream of each sampler or guider positive (not negative, model,
clip, latent or image inputs; every PromptManager node of a graph without a
sampler) and checks the text later steps name: a resolved or inspected
positive whose path passes such a node (`side_opted_out`), or a legacy answer
that is such a node's text (resolved, else literal). A switch that is off
makes the file `not_saved`; one wired from a node the graph cannot read makes
it `not_saved_wired`, as #90's direct check does.
- **Order.** The default profile decides first, exactly as before (resolved
pair, A1111, sampler-less). Only a graph it leaves ambiguous or unresolved
reaches the inspector's resolve (`inspection_resolution` in
`utils/prompt_inspector.py`, the inspection profile, then the recorded saver
anchor of #386; `name_anchor=False`: the file-name anchor never decides a
link; the scan's legacy floor may still link the file, as before #247, and a
file nothing links is queued with the anchor's choice per #390), and only that positive's `storage_text` is stored (never
prepend or append text, never `recorded_texts`). Then the #170 browser parser
(`graph_prompt_text`), the legacy floor, then the recorded run's stored
prompt. The legacy answer is refused when a PromptManager-family node has a
prepend or append part and the answer is not that node's own `text` (the
parser joins the parts, so the stored text cannot be told from it). History is asked once per file and only at that step; the scan's
batch lookup stays lazy and makes one `recorded_runs` pass for the stored
prompt and the saver (`_BatchHistory`).
- **Policies.** `SCAN` keeps the legacy floor for every undecided file.
`MONITOR` waits for history inside the output folder (`history`) and stores
nothing for a file the inspector calls ambiguous; an untraceable or
malformed one still gets the legacy floor.
- **Junk.** `junk_text` refuses `blank`, `number` (the #252 `_numeric` rule),
`lora-only` (only `<lora:...>` tags and separators) and `model-file` (one
token ending in a model extension) at whichever step found the text and
nothing later is tried; the file reports `found`, except at the undecided
graph step, which keeps its own status (an ambiguous file is still queued).
- **One prompt per file.** `database/scanned_prompts.py` stores a positive in
one `BEGIN IMMEDIATE` transaction: a file already linked to another prompt
(either spelling, `file_link_rows`/`link_conflict`, the pair ingester's rule)
is `conflict` and nothing is written; a failed link rolls the new prompt back
(`found`); two writers of one text store one prompt. A recorded run's stored
prompt links the same way (`link_stored_prompt_or_raise`). A rescan therefore
never adds a second link to a file an older scan linked to the legacy answer;
the row reads "Kept: already linked to a different prompt". Link rows are
matched under the path and its `realpath` spelling (`file_link_rows`), so a
file the scan stored through the resolved folder is found when it arrives
through a symlinked or junction folder. The reverse order (a row stored under
the watcher's raw spelling, then a scan whose root resolves differently) is
matched only when that raw spelling equals the realpath. Every scan write
runs through `survive_library_switch`, so a library move reruns it.
- **Marks.** Every prompt ingestion creates, pair components included, carries
category `scanned`, tag `auto-scanned` and the note `Auto-scanned from
<file>` (`SCAN_MARKS`); a reused prompt keeps its fields. Run counts are
never touched.
Tests: `tests/test_file_prompt.py` (one test per ladder step and junk class),
`tests/test_scanned_prompts.py` (store, conflict, rollback, concurrency with
`FirstWriterHold`, pair marks), `tests/test_pair_scan.py` `TestScanDecision`,
`tests/test_run_attribution.py` (dataset branches linked by the recorded
saver, a legacy-linked file left as it is, `_BatchHistory.recorded`) and
`tests/test_recorded_saver_anchor.py` `TestInspectionResolution`.
## Linked prompt text (#343)
A link drives `text` on every PromptManager node, and `negative_text` on the Pair,
+111 -15
View File
@@ -1,7 +1,14 @@
"""Atomic metadata enrichment for a single known generation context."""
"""Atomic metadata enrichment for a single known generation context.
Also the helpers both ingestion store paths share (#247): the file's link
rows and the one-prompt-per-file rule (``file_link_rows``,
``link_conflict``) and the marks a prompt created by ingestion carries
(``Marks``, ``mark_created``).
"""
import os
from typing import Any, Dict
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Tuple
from .models import normalize_image_path
from .operations import _coerce_file_info
@@ -37,16 +44,85 @@ def blank_positive(resolution: Dict[str, Any]) -> bool:
return not (isinstance(text, str) and text.strip())
@dataclass(frozen=True)
class Marks:
"""What a prompt ingestion creates carries, so it can be found and removed.
``note`` is formatted with ``name``, the file's name.
"""
category: str
tags: Tuple[str, ...]
note: str
SCAN_MARKS = Marks("scanned", ("auto-scanned",), "Auto-scanned from {name}")
RUN_MARKS = Marks("scanned", ("auto-scanned",), "Saved from a workflow run: {name}")
def mark_created(conn: Any, db: Any, prompt_id: int, marks: Marks, name: str) -> None:
"""Apply ``marks`` to a prompt row the caller just created on ``conn``."""
conn.execute(
"UPDATE prompts SET category = ?, notes = ? WHERE id = ?",
(marks.category, marks.note.format(name=name), prompt_id),
)
db._sync_prompt_tags(conn, prompt_id, list(marks.tags))
def file_link_rows(conn: Any, image_path: str) -> List[Any]:
"""The file's link rows, each with its prompt's hash.
Matched under the path and its resolved spelling (an output folder
reached through a symlink or junction), each normalized and raw;
deduplicated by row id.
"""
rows: Dict[Any, Any] = {}
for spelling in dict.fromkeys((image_path, _resolved(image_path))):
for row in conn.execute(
"SELECT gi.*,p.hash AS positive_hash FROM generated_images gi "
"JOIN prompts p ON p.id=gi.prompt_id "
"WHERE gi.file_path=? OR gi.image_path=?",
(normalize_image_path(spelling), spelling),
).fetchall():
rows.setdefault(row["id"], row)
return list(rows.values())
def _resolved(path: str) -> str:
try:
return os.path.realpath(path)
except (OSError, ValueError):
return path
def link_conflict(rows: List[Any], prompt_hash: str) -> bool:
"""One prompt per file: more than one row, or a row of another prompt."""
return len(rows) > 1 or bool(rows and rows[0]["positive_hash"] != prompt_hash)
def ingest_resolved_pair(
db: Any, image_path: str, metadata: Dict[str, Any], resolution: Dict[str, Any]
db: Any,
image_path: str,
metadata: Dict[str, Any],
resolution: Dict[str, Any],
*,
marks: Optional[Marks] = None,
) -> Dict[str, Any]:
"""Store a resolved pair and link the file to it in one transaction.
With ``marks`` (ingestion from files), each pair component this call
creates carries them; without (the PromptManager node path) components
are created bare, as always.
"""
state = resolution.get("state", "unresolved")
if state == "resolved" and blank_positive(resolution):
state = "unresolved"
if state != "resolved":
return {"status": state, "pairs_added": 0, "links_added": 0}
with db._pair_transaction() as conn:
return _ingest_resolved_pair_in(conn, db, image_path, metadata, resolution)
return _ingest_resolved_pair_in(
conn, db, image_path, metadata, resolution, marks=marks
)
def _conflict() -> Dict[str, Any]:
@@ -61,6 +137,7 @@ def _ingest_resolved_pair_in(
resolution: Dict[str, Any],
*,
provenance: Dict[str, Any] | None = None,
marks: Optional[Marks] = None,
) -> Dict[str, Any]:
"""``ingest_resolved_pair`` inside the caller's open ``_pair_transaction``.
@@ -69,7 +146,8 @@ def _ingest_resolved_pair_in(
negative is a ``conflict`` and nothing is written. The caller owns the
transaction, so its own later failure rolls the link back too.
``provenance`` replaces the link's default resolver provenance (Needs
review records the user's selection there).
review records the user's selection there). ``marks`` as in
``ingest_resolved_pair``.
"""
positive, negative = resolution["positive"], resolution["negative"]
positive_text = positive.get("storage_text", positive["text"])
@@ -82,15 +160,8 @@ def _ingest_resolved_pair_in(
"negative": negative,
}
encoded = dumps_strict(provenance, sort_keys=True, separators=(",", ":"))
images = conn.execute(
"SELECT gi.*,p.hash AS positive_hash FROM generated_images gi "
"JOIN prompts p ON p.id=gi.prompt_id "
"WHERE gi.file_path=? OR gi.image_path=?",
(normalized, image_path),
).fetchall()
if len(images) > 1 or (
images and images[0]["positive_hash"] != generate_prompt_hash(positive_text)
):
images = file_link_rows(conn, image_path)
if link_conflict(images, generate_prompt_hash(positive_text)):
return _conflict()
existing = images[0] if images else None
if existing:
@@ -115,7 +186,12 @@ def _ingest_resolved_pair_in(
generate_prompt_hash(negative_text) if negative_text.strip() else None,
),
).fetchone()
pair_id = db._save_pair(conn, positive_text, negative_text)
if marks is None:
pair_id = db._save_pair(conn, positive_text, negative_text)
else:
pair_id = _save_marked_pair(
conn, db, positive_text, negative_text, marks, os.path.basename(image_path)
)
pair = conn.execute("SELECT * FROM prompt_pairs WHERE id=?", (pair_id,)).fetchone()
pairs_added = int(prior_pair is None)
file_size, width, height, image_format = _coerce_file_info(metadata)
@@ -197,6 +273,26 @@ def _ingest_resolved_pair_in(
}
def _save_marked_pair(
conn: Any,
db: Any,
positive_text: str,
negative_text: str,
marks: Marks,
name: str,
) -> int:
"""``_save_pair`` that marks each component it creates."""
texts = [positive_text] + ([negative_text] if negative_text.strip() else [])
ids = []
for text in texts:
prompt_id, created = db._pair_component_outcome(conn, text)
if created:
mark_created(conn, db, prompt_id, marks, name)
ids.append(prompt_id)
negative_id = ids[1] if len(ids) > 1 else None
return db._save_pair_components(conn, ids[0], negative_id)[0]
def _document_form(conn: Any, values: Dict[str, Any]) -> Dict[str, Any]:
"""``values`` with the workflow and prompt graph texts stored once.
+7 -6
View File
@@ -164,7 +164,7 @@ def _runs_by_location(db: Any, names: List[str]) -> Optional[Dict[tuple, dict]]:
return found
def _recorded_runs(
def recorded_runs(
db: Any,
image_paths: Iterable[str],
output_root: Optional[str],
@@ -201,7 +201,8 @@ def _recorded_runs(
return attributed
def _named_prompt(db: Any, run_id: str) -> Optional[int]:
def named_prompt(db: Any, run_id: str) -> Optional[int]:
"""The one stored prompt every positive context of ``run_id`` names, else None."""
contexts = db.get_execution_contexts(run_id).get("contexts") or []
named = {
context.get("positive_prompt_id")
@@ -228,11 +229,11 @@ def stored_run_prompts(
paths = list(dict.fromkeys(path for path in image_paths if path))
result: Dict[str, Optional[int]] = dict.fromkeys(paths)
prompts: Dict[str, Optional[int]] = {}
for path, (run_id, _nodes) in _recorded_runs(
for path, (run_id, _nodes) in recorded_runs(
db, paths, output_root, path_style
).items():
if run_id not in prompts:
prompts[run_id] = _named_prompt(db, run_id)
prompts[run_id] = named_prompt(db, run_id)
result[path] = prompts[run_id]
return result
@@ -275,7 +276,7 @@ def recorded_output(
) -> Optional[RecordedOutput]:
"""The recorded run facts for ``image_path``, else None (#386).
The file must be attributed to one run (``_recorded_runs``: one run
The file must be attributed to one run (``recorded_runs``: one run
reported its location and it was written during that run). Read-only; it
never links anything.
"""
@@ -286,7 +287,7 @@ def recorded_output(
if own_transaction: # outputs and texts from one state of history
conn.execute("BEGIN")
try:
found = _recorded_runs(db, [image_path], output_root, path_style)
found = recorded_runs(db, [image_path], output_root, path_style)
if image_path not in found:
return None
run_id, nodes = found[image_path]
+87
View File
@@ -0,0 +1,87 @@
"""Link an output file to the prompt of one text, creating it when new (#247).
The store step of ingestion from file metadata when the decision is a
positive text (``utils.file_prompt``). The prompt insert and the link run in
one ``BEGIN IMMEDIATE`` transaction: two writers never store one text twice,
a failed link leaves no new prompt behind, and a file stays linked to one
prompt (a file already linked to another prompt is a ``conflict``).
"""
import logging
import os
from typing import Any, Dict, Optional, Tuple
from .pair_ingestion import Marks, file_link_rows, link_conflict, mark_created
try:
from ..utils.hashing import generate_prompt_hash
except ImportError:
from utils.hashing import generate_prompt_hash
_LOGGER = logging.getLogger("prompt_manager.database.scanned_prompts")
def store_scanned_prompt_or_raise(
db: Any, path: str, canonical: Dict[str, Any], text: str, marks: Marks
) -> Tuple[str, Optional[int]]:
"""``(status, prompt id)`` after linking ``path`` to ``text``'s prompt.
``added`` (prompt created, carrying ``marks``), ``linked`` (stored text
reused), ``unchanged`` (already linked to it) or ``conflict`` (linked to
another prompt; nothing written, id None). Database errors are raised
and roll the whole store back, so a caller can run it again.
"""
with db._pair_transaction() as conn:
rows = file_link_rows(conn, path)
if link_conflict(rows, generate_prompt_hash(text)):
return "conflict", None
if rows:
return "unchanged", rows[0]["prompt_id"]
prompt_id, created = db._pair_component_outcome(conn, text)
if created:
mark_created(conn, db, prompt_id, marks, os.path.basename(path))
db._insert_image_link(conn, prompt_id, path, canonical)
return ("added" if created else "linked"), prompt_id
def store_scanned_prompt(
db: Any, path: str, canonical: Dict[str, Any], text: str, marks: Marks
) -> Tuple[str, Optional[int]]:
"""The scan's form: an error is logged and reported as ``("found", None)``.
A write that failed because Move library switched runs again on the new
library (``survive_library_switch``); the rerun re-checks the link rows.
"""
try:
return db.survive_library_switch(
lambda: store_scanned_prompt_or_raise(db, path, canonical, text, marks)
)
except Exception as error:
_LOGGER.error(
f"Failed to store the prompt of {os.path.basename(path)}: {error}"
)
return "found", None
def link_stored_prompt_or_raise(
db: Any, path: str, canonical: Dict[str, Any], prompt_id: int
) -> Optional[str]:
"""Link ``path`` to the stored prompt ``prompt_id`` (recorded history, #342).
``linked``, ``unchanged`` (already linked to it), ``conflict`` (linked to
another prompt; nothing written) or None when the prompt is gone. One
``BEGIN IMMEDIATE`` transaction; database errors are raised.
"""
with db._pair_transaction() as conn:
rows = file_link_rows(conn, path)
if len(rows) > 1 or (rows and rows[0]["prompt_id"] != prompt_id):
return "conflict"
if rows:
return "unchanged"
exists = conn.execute(
"SELECT 1 FROM prompts WHERE id = ?", (prompt_id,)
).fetchone()
if exists is None:
return None
db._insert_image_link(conn, prompt_id, path, canonical)
return "linked"
+3 -82
View File
@@ -77,6 +77,7 @@ from .image_categories import ImageCategoryRoutesMixin
try:
from ...database.operations import PromptDatabase
from ...utils.file_prompt import parse_comfyui_prompt
from ...utils.logging_config import get_logger
from ...utils.video_metadata import is_video_path, read_video_metadata
except ImportError:
@@ -86,6 +87,7 @@ except ImportError:
0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
)
from database.operations import PromptDatabase
from utils.file_prompt import parse_comfyui_prompt
from utils.logging_config import get_logger
from utils.video_metadata import is_video_path, read_video_metadata
@@ -1031,85 +1033,4 @@ class PromptManagerAPI(
def _parse_comfyui_prompt(self, metadata):
"""Parse ComfyUI and A1111 prompt data from metadata."""
result = {
"prompt": None,
"workflow": None,
"parameters": {},
"positive_prompt": None,
"negative_prompt": None,
}
# Check for A1111/Forge style parameters first.
# The chunk is one block: a possibly multi-line positive prompt, then a
# "Negative prompt:" section, then a trailing "Steps: ..." settings line.
# Taking lines[0] as the positive prompt truncates any multi-line prompt
# to one line, so split on the settings line instead.
if "parameters" in metadata:
import re as _re
params = metadata["parameters"]
body = params
settings = ""
_sm = _re.search(r"\nSteps:\s", body)
if _sm:
settings = body[_sm.start() + 1 :].strip()
body = body[: _sm.start()]
negative = None
_nm = _re.search(r"(?im)^\s*negative prompt:\s*", body)
if _nm:
negative = body[_nm.end() :].strip()
body = body[: _nm.start()]
elif body.lower().lstrip().startswith("negative prompt:"):
negative = body.lower().lstrip()[len("negative prompt:") :].strip()
body = ""
result["positive_prompt"] = body.strip() or None
if negative:
result["negative_prompt"] = negative
# Store raw parameters too
result["parameters"]["parameters"] = params
if settings:
for _f in ("Steps", "Sampler", "Schedule type", "CFG scale", "Seed"):
_fm = _re.search(
r"(?i)(?:^|,\s*)" + _re.escape(_f) + r":\s*([^,]+)", settings
)
if _fm:
result["parameters"][_f.lower().replace(" ", "_")] = _fm.group(
1
).strip()
# If no A1111 format found, proceed with ComfyUI parsing
if result["positive_prompt"] is None:
# Check for direct prompt field
if "prompt" in metadata:
try:
prompt_data = json.loads(metadata["prompt"])
result["prompt"] = prompt_data
except json.JSONDecodeError:
result["prompt"] = metadata["prompt"]
# Check for workflow
if "workflow" in metadata:
try:
workflow_data = json.loads(metadata["workflow"])
result["workflow"] = workflow_data
except json.JSONDecodeError:
result["workflow"] = metadata["workflow"]
# Check for other common ComfyUI fields
common_fields = [
"positive",
"negative",
"steps",
"cfg",
"sampler",
"scheduler",
"seed",
]
for field in common_fields:
if field in metadata:
try:
result["parameters"][field] = json.loads(metadata[field])
except json.JSONDecodeError:
result["parameters"][field] = metadata[field]
return result
return parse_comfyui_prompt(metadata)
+153 -248
View File
@@ -40,45 +40,51 @@ except ImportError:
from utils import exit_signal
try:
from ...database.pair_ingestion import blank_positive, ingest_resolved_pair
from ...database.pair_ingestion import SCAN_MARKS, ingest_resolved_pair
from ...database.run_attribution import (
RecordedOutput,
host_output_directory,
stored_run_prompt,
stored_run_prompts,
named_prompt,
recorded_runs,
)
from ...utils.generation_params import (
PLACEHOLDERS,
GenerationParamsError,
extract_generation_params,
parse_page_json,
from ...database.scanned_prompts import (
link_stored_prompt_or_raise,
store_scanned_prompt,
)
from ...utils.file_prompt import (
NEVER,
NOT_SAVED,
NOT_SAVED_WIRED,
PAIR,
Policy,
decide_file_prompt,
)
from ...utils.prompt_graph import metadata_opted_out, side_opted_out
from ...utils.prompt_pair_resolver import resolve_prompt_pair, sampler_less_prompt
from ...utils.review_capture import reviewable
except ImportError:
from database.pair_ingestion import blank_positive, ingest_resolved_pair
from database.pair_ingestion import SCAN_MARKS, ingest_resolved_pair
from database.run_attribution import (
RecordedOutput,
host_output_directory,
stored_run_prompt,
stored_run_prompts,
named_prompt,
recorded_runs,
)
from utils.generation_params import (
PLACEHOLDERS,
GenerationParamsError,
extract_generation_params,
parse_page_json,
from database.scanned_prompts import (
link_stored_prompt_or_raise,
store_scanned_prompt,
)
from utils.file_prompt import (
NEVER,
NOT_SAVED,
NOT_SAVED_WIRED,
PAIR,
Policy,
decide_file_prompt,
)
from utils.prompt_graph import metadata_opted_out, side_opted_out
from utils.prompt_pair_resolver import resolve_prompt_pair, sampler_less_prompt
from utils.review_capture import reviewable
try:
from ...database.library import display_title
from ...utils.hashing import generate_prompt_hash
except ImportError:
from database.library import display_title
from utils.hashing import generate_prompt_hash
IMAGE_EXTENSIONS = (".png", ".jpg", ".jpeg", ".gif", ".webp", ".bmp", ".tiff")
VIDEO_EXTENSIONS = (".mp4", ".avi", ".mov", ".mkv", ".webm", ".m4v", ".wmv")
@@ -258,7 +264,7 @@ SCAN_DETAILS = {
"skipped": "Skipped · already linked",
"ambiguous": "Needs review: more than one prompt could match",
"unresolved": "Needs review: the prompt could not be traced in the workflow",
"conflict": "Needs review: already linked to a different prompt",
"conflict": "Kept: already linked to a different prompt",
"failed": "Error: the prompt could not be stored",
"error": "Error: the file could not be processed (see the server log)",
"found": "Metadata found, but no prompt text to store",
@@ -325,22 +331,6 @@ def _file_size(path):
return None
def _with_file_size(canonical, media_file):
"""Record the file's size in ``file_info`` unless the metadata carries one.
Stored as ``generated_images.file_size``; the "new" scan scope skips a known
file only while its size is unchanged.
"""
info = canonical.get("file_info")
info = dict(info) if isinstance(info, dict) else {}
if info.get("size") is None:
size = _file_size(media_file)
if size is not None:
info["size"] = size
if info:
canonical["file_info"] = info
def _scan_roots(output_dirs):
"""(absolute root, public label, listing index), the most specific first.
@@ -596,18 +586,56 @@ class _BatchHistory:
"""A scan batch's recorded-history lookup, made on the first file needing it.
Most files link through their metadata and never ask; the first one that
does triggers one lookup for the whole batch (``_recorded_runs_for``).
does triggers one ``recorded_runs`` pass for the whole batch, from which
both the stored prompt (``get``) and the recorded saver (``recorded``)
of every file are read. A failure is logged and names nothing.
"""
def __init__(self, api, media_files):
self._api = api
self._files = media_files
self._found = None
self._files = [str(path) for path in media_files]
self._runs = None
self._prompts = {}
def _found(self):
if self._runs is None:
try:
self._runs = recorded_runs(
self._api.db, self._files, host_output_directory(), None
)
except Exception:
self._api.logger.warning(
"History attribution failed for a scan batch", exc_info=True
)
self._runs = {}
return self._runs
def get(self, path):
if self._found is None:
self._found = self._api._recorded_runs_for(self._files)
return self._found.get(path)
"""The stored prompt id history attributes to ``path``, else None."""
found = self._found().get(path)
if found is None:
return None
run_id = found[0]
if run_id not in self._prompts:
try:
self._prompts[run_id] = named_prompt(self._api.db, run_id)
except Exception:
self._api.logger.warning(
"History attribution failed for a scan batch", exc_info=True
)
self._prompts[run_id] = None
return self._prompts[run_id]
def recorded(self, path):
"""``RecordedOutput(saver, {})`` for an attributed file, else None.
``saver`` is set only when the run reported the file from one node.
"""
found = self._found().get(path)
if found is None:
return None
nodes = found[1]
return RecordedOutput(next(iter(nodes)) if len(nodes) == 1 else None, {})
class AdminRoutesMixin:
@@ -1672,24 +1700,6 @@ class AdminRoutesMixin:
note(media_file, status)
return counts
@staticmethod
def _graph_prompt_text(metadata):
"""The positive prompt the browser parser traces from the graphs, or None.
Records parse as the legacy pages parsed them (NaN reads as null).
"""
records = {}
for key in ("prompt", "workflow"):
value = metadata.get(key)
records[key] = parse_page_json(value) if isinstance(value, str) else value
try:
positive = extract_generation_params(records)["positivePrompt"]
except GenerationParamsError:
return None
if not isinstance(positive, str) or positive == PLACEHOLDERS["positivePrompt"]:
return None
return positive.strip() or None
def _ingest_scanned_file(
self,
media_file,
@@ -1700,148 +1710,81 @@ class AdminRoutesMixin:
records=None,
history=None,
):
"""Enrich exact pairs; retain legacy positive-only import for absent pairs.
"""Store the prompt the shared per-file decision names (#247).
Returns the file's scan status, or None without prompt metadata. With
``detailed``, a stored or linked file returns a dict instead: its
``status``, the prompt's display ``title`` and, for a resolved pair,
the pair counts. When the resolver finds the file ambiguous (whether
or not the browser parser then links it) and ``ambiguous`` is a list,
``media_file`` is appended to it; only a file that then returns
``"ambiguous"`` (nothing linked it) is a Needs review case. An
ambiguous result with nothing to choose (``reviewable`` is False: fewer
than two candidates carry a prompt) that nothing links returns
``"unresolved"`` instead, and ``media_file`` goes to ``untraced``.
The parsed records of either ambiguous file go to
``records["canonical"]`` when ``records`` is a dict.
``utils.file_prompt.decide_file_prompt`` (scan policy) decides; this
stores the result. Returns the file's scan status, or None without
prompt metadata. With ``detailed``, a stored or linked file returns a
dict instead: its ``status``, the prompt's display ``title`` and, for
a resolved pair, the pair counts. When the resolver finds the file
ambiguous (whether or not a later step then links it) and
``ambiguous`` is a list, ``media_file`` is appended to it; only a file
that then returns ``"ambiguous"`` (nothing linked it) is a Needs
review case. An ambiguous result with nothing to choose
(``reviewable`` is False: fewer than two candidates carry a prompt)
goes to ``untraced`` instead and returns ``"unresolved"`` when nothing
links it. The parsed records of either ambiguous file go to
``records["canonical"]`` when ``records`` is a dict. ``history`` is
the batch's lazy recorded-history lookup.
"""
if not metadata:
# No prompt metadata (--disable-metadata, bare savers): only the
# recorded run can say which prompt made it (#342)
return self._link_recorded_run(media_file, {}, detailed, history)
canonical = dict(metadata)
for key in ("prompt", "workflow"):
if isinstance(canonical.get(key), str):
try:
canonical[key] = json.loads(canonical[key])
except (ValueError, TypeError):
# Preserve malformed metadata for conservative resolver rejection.
pass
if metadata_opted_out(canonical):
# Save to library was off for the run's prompt: no prompt, link,
# recorded-run fallback or Needs review item (#90)
return "not_saved"
if metadata_opted_out(canonical, unreadable=True):
# The switch is wired from a node the file cannot show: only the
# live run (the node saw the value) can link it, never a scan
return "not_saved_wired"
if not canonical.get("prompt") and not canonical.get("parameters"):
return self._link_recorded_run(media_file, canonical, detailed, history)
_with_file_size(canonical, media_file)
resolution = resolve_prompt_pair(canonical)
if resolution["state"] == "resolved" and side_opted_out(
canonical.get("prompt"), resolution["negative"]
):
# Only the negative's node is off: store the positive alone (#90)
prompt_text = (
resolution["positive"]
.get("storage_text", resolution["positive"]["text"])
.strip()
)
status = self._store_scanned_prompt(media_file, canonical, prompt_text)
if not detailed or status not in SCAN_TITLED_DETAILS:
return status
return {
"status": status,
"title": self._scan_title(media_file, prompt_text),
}
if blank_positive(resolution):
# Only prepend/append text: no stored prompt can own it (#342)
resolution = {**resolution, "state": "unresolved"}
# Ambiguous without a choice: unresolved unless something links it.
unchoosable = resolution["state"] == "ambiguous" and not reviewable(resolution)
if unchoosable:
if untraced is not None:
untraced.append(media_file)
if records is not None:
records["canonical"] = canonical
elif resolution["state"] == "ambiguous" and ambiguous is not None:
ambiguous.append(media_file)
if records is not None:
records["canonical"] = canonical
if resolution["state"] == "resolved":
result = ingest_resolved_pair(
self.db, str(media_file), canonical, resolution
path = str(media_file)
if history is None: # one file: history is still asked once
history = _BatchHistory(self, [media_file])
decision = decide_file_prompt(
metadata,
file_name=Path(path).name,
file_size=functools.partial(_file_size, media_file),
in_output=False, # only the monitor policy reads it
lookup=functools.partial(history.recorded, path),
policy=Policy.SCAN,
)
if decision.kind in (NOT_SAVED, NOT_SAVED_WIRED):
# Save to library off (#90): no write, recorded-run fallback or
# Needs review item
return decision.kind
self._note_review(media_file, decision, ambiguous, untraced, records)
if decision.kind == NEVER:
if decision.try_recorded_run:
linked = self._link_recorded_run(
media_file, decision.canonical, detailed, history
)
if linked is not None:
return linked
return decision.unlinked_status
if decision.kind == PAIR:
# A rerun after a library move re-checks the link rows.
result = self.db.survive_library_switch(
lambda: ingest_resolved_pair(
self.db,
path,
decision.canonical,
decision.resolution,
marks=SCAN_MARKS,
)
)
if not detailed:
return result["status"]
return {
**result,
"title": self._scan_title(media_file, resolution["positive"]["text"]),
}
if canonical.get("prompt") and resolution["state"] in (
"ambiguous",
"unresolved",
):
# The resolver could not decide: link the prompt the inspector and the
# legacy pages show for this file (the browser parser, in Python).
# Graphs without a recognized sampler keep the legacy extractor below.
prompt_text = self._graph_prompt_text(metadata)
if not prompt_text:
linked = self._link_recorded_run(
media_file, canonical, detailed, history
)
if linked is not None:
return linked
return "unresolved" if unchoosable else resolution["state"]
elif resolution["state"] == "ambiguous":
return "unresolved" if unchoosable else "ambiguous"
elif resolution["state"] == "unresolved" and not isinstance(
canonical.get("parameters"), str
):
return resolution["state"]
elif canonical.get("prompt"):
# No node takes a positive or negative input (a guider or wrapper
# graph): the one wired text, never a guess (#252).
found = sampler_less_prompt(canonical["prompt"])
prompt_text = found["text"]
if prompt_text is None and isinstance(canonical.get("parameters"), str):
# A metadata saver also wrote A1111 text: its positive prompt.
parsed = self._parse_comfyui_prompt(metadata)["positive_prompt"]
prompt_text = parsed.strip() if parsed and parsed.strip() else None
if prompt_text is None:
linked = self._link_recorded_run(
media_file, canonical, detailed, history
)
if linked is not None:
return linked
return "unresolved" if found["state"] == "ambiguous" else "found"
else:
prompt_text = self._parse_comfyui_prompt(metadata)["positive_prompt"]
if not (prompt_text and prompt_text.strip()):
return "found"
prompt_text = prompt_text.strip()
status = self._store_scanned_prompt(media_file, canonical, prompt_text)
title_text = decision.resolution["positive"]["text"]
return {**result, "title": self._scan_title(media_file, title_text)}
status, _prompt_id = store_scanned_prompt(
self.db, path, decision.canonical, decision.text, SCAN_MARKS
)
if not detailed or status not in SCAN_TITLED_DETAILS:
return status
return {"status": status, "title": self._scan_title(media_file, prompt_text)}
return {"status": status, "title": self._scan_title(media_file, decision.text)}
def _recorded_runs_for(self, media_files):
"""``{path: prompt id or None}`` from recorded history for a scan batch.
One output lookup per chunk of names (``stored_run_prompts``), so a
batch never queries history once per file. An empty dict on failure.
"""
try:
return stored_run_prompts(
self.db, [str(path) for path in media_files], host_output_directory()
)
except Exception:
self.logger.warning(
"History attribution failed for a scan batch", exc_info=True
)
return {}
@staticmethod
def _note_review(media_file, decision, ambiguous, untraced, records):
"""Hand an ambiguous file to the batch's Needs review lists."""
if decision.review == "untraced":
if untraced is not None:
untraced.append(media_file)
if records is not None:
records["canonical"] = decision.canonical
elif decision.review == "ambiguous" and ambiguous is not None:
ambiguous.append(media_file)
if records is not None:
records["canonical"] = decision.canonical
def _link_recorded_run(self, media_file, canonical, detailed=False, history=None):
"""Link a file recorded history attributes to one stored prompt (#342).
@@ -1850,31 +1793,25 @@ class AdminRoutesMixin:
``{"status", "title"}``), or None when history names no single stored
prompt for the file (``database.run_attribution``). Never creates a
prompt. Works without any prompt metadata in the file. ``history`` is
the batch's precomputed lookup; without it the file is looked up alone.
the batch's lookup (``_BatchHistory``). A file already linked to
another prompt is a ``conflict``: one prompt per file.
"""
if history is not None:
prompt_id = history.get(str(media_file))
else:
try:
prompt_id = stored_run_prompt(
self.db, str(media_file), host_output_directory()
)
except Exception:
self.logger.warning(
f"History attribution failed for {media_file.name}",
exc_info=True,
)
return None
if history is None:
history = _BatchHistory(self, [media_file])
prompt_id = history.get(str(media_file))
if prompt_id is None:
return None
try:
image_id = self.db.link_image_to_prompt(
prompt_id, str(media_file), metadata=canonical
status = self.db.survive_library_switch(
lambda: link_stored_prompt_or_raise(
self.db, str(media_file), canonical, prompt_id
)
)
except Exception as e:
self.logger.error(f"Failed to link {media_file.name} from history: {e}")
return "found"
status = "linked" if image_id else "unchanged"
if status is None:
return None
if not detailed or status not in SCAN_TITLED_DETAILS:
return status
prompt = self.db.get_prompt_by_id(prompt_id) or {}
@@ -1894,35 +1831,3 @@ class AdminRoutesMixin:
except Exception:
self.logger.warning("Scan row title could not be read; using its text")
return display_title((), text)
def _store_scanned_prompt(self, media_file, canonical, prompt_text):
"""Link ``media_file`` to ``prompt_text``'s prompt, saving it when new."""
prompt_hash = generate_prompt_hash(prompt_text)
existing = self.db.get_prompt_by_hash(prompt_hash)
if existing:
try:
image_id = self.db.link_image_to_prompt(
existing["id"], str(media_file), metadata=canonical
)
except Exception as e:
self.logger.error(
f"Failed to link {media_file.name} to existing prompt: {e}"
)
return "found"
return "linked" if image_id else "unchanged"
prompt_id = self.db.save_prompt(
prompt_text,
"scanned",
["auto-scanned"],
None,
f"Auto-scanned from {media_file.name}",
prompt_hash,
)
if not prompt_id:
return "found"
try:
self.db.link_image_to_prompt(prompt_id, str(media_file), metadata=canonical)
except Exception as e:
self.logger.error(f"Failed to link {media_file.name} to new prompt: {e}")
return "added"
+1 -1
View File
@@ -3,7 +3,7 @@
The rule (maintainer test of #284/#288): a file is queued only when its
final outcome is ambiguous and unlinked. The strict resolver must find it
``ambiguous``, the scan's legacy fallback (the browser parser,
``_graph_prompt_text``) must not link it, and no saved row may link it
``graph_prompt_text``) must not link it, and no saved row may link it
already. A file the fallback links, an exact pair the ingester stored and an
already linked file are never queued. Neither is an ambiguous file with
nothing to choose: fewer than two of its candidates carry a prompt
+15 -9
View File
@@ -2205,24 +2205,30 @@ class TestOutputScanInternals(AdminAPITestCase):
self.assertEqual(self.api._ingest_scanned_file(f, meta), "unchanged")
def test_ingest_link_failures_are_tolerated(self):
"""A failed link rolls the new prompt back: found, nothing left behind."""
f = Path("gen.png")
meta = {"prompt": json.dumps(_wired_prompt("a dog"))}
self.api.db.link_image_to_prompt = _raise
self.assertEqual(self.api._ingest_scanned_file(f, meta), "added")
self.assertEqual(self.api._ingest_scanned_file(f, meta), "found")
self.api.db._insert_image_link = _raise
with self.assertLogs("prompt_manager.database.scanned_prompts", "ERROR"):
self.assertEqual(self.api._ingest_scanned_file(f, meta), "found")
self.assertEqual(self.api._ingest_scanned_file(f, meta), "found")
self.assertEqual(self.api.db.get_recent_prompts()["prompts"], [])
def test_ingest_save_failure_counts_as_found(self):
f = Path("gen.png")
meta = {"prompt": json.dumps(_wired_prompt("a bird"))}
self.api.db.save_prompt = lambda *a, **k: None
self.assertEqual(self.api._ingest_scanned_file(f, meta), "found")
with patch(
"py.api.admin.store_scanned_prompt", return_value=("found", None)
) as store:
self.assertEqual(self.api._ingest_scanned_file(f, meta), "found")
self.assertEqual(store.call_args.args[3], "a bird")
def test_batch_counts_and_per_file_errors(self):
meta = {"prompt": json.dumps(_wired_prompt("a fish"))}
self.api.db.get_prompt_by_hash = _raise
counts = self.api._ingest_scan_batch_sync(
[(Path("a.png"), meta), (Path("b.png"), {})]
)
with patch("py.api.admin.store_scanned_prompt", side_effect=_raise):
counts = self.api._ingest_scan_batch_sync(
[(Path("a.png"), meta), (Path("b.png"), {})]
)
self.assertEqual(
counts,
{
+705
View File
@@ -0,0 +1,705 @@
"""The per-file prompt decision shared by the scan and the monitor (#247).
One test per case, named by the ladder step of the design
(``docs/egm/247-foreign-workflows``). The ladder does no file or database
I/O: history comes in through ``lookup``.
"""
import json
import unittest
from unittest import mock
from database.run_attribution import RecordedOutput
from tests.test_pair_scan import flux_graph, sampled_graph
from tests.test_prompt_attribution import issue_graph, pair_evidence
from tests import test_save_to_library as save_tests
from utils import file_prompt
from utils.file_prompt import Policy, decide_file_prompt, junk_text
from utils.prompt_inspector import InspectionResult
try:
from tests import inspection_parity as parity
from tests import saver_anchor_graphs as shapes
except ImportError: # pragma: no cover - discover -s tests puts tests/ first
import inspection_parity as parity
import saver_anchor_graphs as shapes
SHARED_NAME = "IMG_GEN_00371_.png"
LORA = "<lora:style:1.00>"
def _decide(
metadata,
*,
policy=Policy.SCAN,
lookup=None,
in_output=True,
file_name=SHARED_NAME,
file_size=None,
):
return decide_file_prompt(
metadata,
file_name=file_name,
file_size=file_size,
in_output=in_output,
lookup=lookup,
policy=policy,
)
def _graph(graph):
return {"prompt": json.dumps(graph)}
class _Lookup:
"""A history lookup that counts its calls."""
def __init__(self, saver=None):
self.calls = 0
self.found = RecordedOutput(saver, {}) if saver is not None else None
def __call__(self):
self.calls += 1
return self.found
def _inspected(state, malformed=False):
resolution = {"state": state, "positive": None, "negative": None}
return InspectionResult(resolution, malformed=malformed)
def _untraced_by_both():
"""A sampled graph whose positive no profile traces; the legacy parser does."""
return mock.patch.object(
file_prompt, "inspection_resolution", return_value=_inspected("unresolved")
)
def _gated(graph):
"""``graph`` past the default profile's node gate, so it is unresolved."""
graph = dict(graph)
for index in range(510):
graph[f"pad{index}"] = {"class_type": "Note", "inputs": {}}
return graph
def _prompt_manager_branches(prepend="PRE", append="APP"):
"""Two KSampler branches, each fed by a PromptManagerText string."""
graph = sampled_graph()
del graph["1"]
sampler = graph.pop("3")
for index, text in enumerate(("a cat", "a dog"), start=1):
base = index * 10
graph[str(base)] = {
"class_type": "PromptManagerText",
"inputs": {"text": text, "prepend_text": prepend, "append_text": append},
}
graph[str(base + 1)] = {
"class_type": "CLIPTextEncode",
"inputs": {"text": [str(base), 0]},
}
graph[str(base + 2)] = {
**sampler,
"inputs": {**sampler["inputs"], "positive": [str(base + 1), 0]},
}
return graph
def _numeric_first_branches():
"""Three branches; the legacy parser's answer (the first) is a number."""
graph = sampled_graph("2048")
for index, text in ((5, "a cat"), (6, "a dog")):
graph[str(index * 10)] = {
"class_type": "CLIPTextEncode",
"inputs": {"text": text},
}
graph[str(index * 10 + 1)] = {
**graph["3"],
"inputs": {**graph["3"]["inputs"], "positive": [str(index * 10), 0]},
}
return graph
class TestStepsBeforeResolving(unittest.TestCase):
def test_step_1_no_metadata_tries_the_recorded_run(self):
for metadata in ({}, None):
decision = _decide(metadata)
self.assertEqual(decision.kind, "never")
self.assertTrue(decision.try_recorded_run)
self.assertIsNone(decision.unlinked_status)
self.assertEqual(decision.canonical, {})
def test_step_3_neither_prompt_nor_parameters_tries_the_recorded_run(self):
decision = _decide({"workflow": json.dumps({"nodes": []})})
self.assertEqual(decision.kind, "never")
self.assertTrue(decision.try_recorded_run)
self.assertIsNone(decision.unlinked_status)
self.assertEqual(decision.canonical, {"workflow": {"nodes": []}})
def test_strings_are_parsed_and_malformed_ones_kept(self):
decision = _decide({"prompt": "{not json", "workflow": "{}"})
self.assertEqual(decision.canonical["prompt"], "{not json")
self.assertEqual(decision.canonical["workflow"], {})
def test_the_file_size_is_recorded_unless_the_metadata_has_one(self):
meta = _graph(sampled_graph())
self.assertEqual(
_decide(meta, file_size=42).canonical["file_info"], {"size": 42}
)
meta["file_info"] = {"size": 7, "width": 3}
self.assertEqual(
_decide(meta, file_size=42).canonical["file_info"], {"size": 7, "width": 3}
)
self.assertNotIn("file_info", _decide(_graph(sampled_graph())).canonical)
def test_a_file_size_reader_is_called_only_for_prompt_metadata(self):
reads = []
def size():
reads.append(1)
return 9
for metadata in ({}, {"workflow": "{}"}):
_decide(metadata, file_size=size)
self.assertEqual(reads, [])
decision = _decide(_graph(sampled_graph()), file_size=size)
self.assertEqual((reads, decision.canonical["file_info"]), ([1], {"size": 9}))
def _off_behind(middle, key):
"""A switched-off PromptManagerText reaching the encoder through
``middle``'s ``key`` input."""
graph = save_tests.run_graph()
graph["1"] = {
"class_type": "PromptManagerText",
"inputs": {"text": "SECRET OFF TEXT", "save_to_library": False},
}
graph["7"] = {"class_type": middle, "inputs": {key: ["1", 0]}}
graph["8"] = {
"class_type": "CLIPTextEncode",
"inputs": {"text": ["7", 0], "clip": ["4", 1]},
}
graph["3"]["inputs"]["positive"] = ["8", 0]
return graph
class TestSaveToLibrarySteps(unittest.TestCase):
"""#90: a PromptManager node with Save to library off stores nothing."""
def test_step_2_an_opted_out_file_is_not_saved(self):
lookup = _Lookup("9")
graph = save_tests.run_graph(save=False)
graph["5"] = {**graph["3"], "inputs": {**graph["3"]["inputs"]}}
graph["5"]["inputs"]["positive"] = ["2", 0] # ambiguous otherwise
for policy in Policy:
decision = _decide(_graph(graph), policy=policy, lookup=lookup)
self.assertEqual(decision.kind, "not_saved")
self.assertFalse(decision.try_recorded_run)
self.assertIsNone(decision.review)
self.assertEqual(lookup.calls, 0)
def test_step_2_a_wired_switch_is_not_saved_wired(self):
graph = save_tests.run_graph(save=["9", 0])
graph["9"] = {"class_type": "SomeCustomSwitch", "inputs": {}}
lookup = _Lookup("9")
decision = _decide(_graph(graph), lookup=lookup)
self.assertEqual(decision.kind, "not_saved_wired")
self.assertFalse(decision.try_recorded_run)
self.assertIsNone(decision.review)
self.assertEqual(lookup.calls, 0)
def test_step_8_1_an_off_node_behind_a_pass_through_is_not_saved(self):
"""The #90 graph walk does not follow ``anything`` or ``value``; the
inspector does, so its positive is checked against the switch."""
for middle, key in (("easy showAnything", "anything"), ("MyNode", "value")):
with self.subTest(middle=middle):
graph = _off_behind(middle, key)
for policy in Policy:
decision = _decide(_graph(graph), policy=policy, lookup=_Lookup())
self.assertEqual(decision.kind, "not_saved")
self.assertIsNone(decision.text)
def test_step_8_4_a_legacy_answer_from_an_off_node_is_not_saved(self):
graph = _off_behind("MyNode", "value")
graph["9"] = {"class_type": "CLIPTextEncode", "inputs": {"text": "on text"}}
graph["5"] = {**graph["3"], "inputs": {**graph["3"]["inputs"]}}
graph["5"]["inputs"]["positive"] = ["9", 0]
decision = _decide(_graph(graph), lookup=_Lookup())
self.assertEqual(decision.kind, "not_saved")
self.assertIsNone(decision.text)
def test_step_2_an_off_node_on_any_positive_input_is_not_saved(self):
"""Any input name upstream of a positive, not only prompt-like ones."""
guider = _off_behind("MyNode", "value")
guider["3"] = {
"class_type": "BasicGuider",
"inputs": {"model": ["4", 0], "conditioning": ["8", 0]},
}
prepended = _off_behind("MyNode", "value")
prepended["1"]["inputs"]["prepend_text"] = "pre"
pair = _off_behind("MyNode", "value")
pair["1"] = {
"class_type": "PromptManagerPair",
"inputs": {"text": "x", "negative_text": "y", "save_to_library": False},
}
pair["2"]["inputs"]["text"] = ["1", 1]
cases = {"sampler-less guider": guider, "prepend": prepended, "pair": pair}
for name, graph in cases.items():
with self.subTest(name=name):
lookup = _Lookup("9")
decision = _decide(_graph(graph), lookup=lookup)
self.assertEqual(decision.kind, "not_saved")
self.assertFalse(decision.try_recorded_run)
self.assertEqual(lookup.calls, 0)
def test_step_2_a_wired_switch_behind_a_pass_through_is_not_saved_wired(self):
graph = _off_behind("MyNode", "value")
graph["1"]["inputs"]["save_to_library"] = ["20", 0]
graph["20"] = {"class_type": "SomeBoolNode", "inputs": {}}
self.assertEqual(_decide(_graph(graph)).kind, "not_saved_wired")
def test_a_switched_on_node_behind_a_pass_through_is_stored(self):
"""Regression guard: on, or no switch at all (older files)."""
for value in (True, None):
with self.subTest(value=value):
graph = _off_behind("MyNode", "value")
if value is None:
del graph["1"]["inputs"]["save_to_library"]
else:
graph["1"]["inputs"]["save_to_library"] = value
decision = _decide(_graph(graph), lookup=_Lookup())
self.assertEqual(decision.kind, "positive")
self.assertEqual(decision.text, "SECRET OFF TEXT")
def test_an_off_node_on_a_negative_input_name_never_blocks(self):
"""The walk skips negative inputs: #90's own rule (``neg``,
``neg_text``, ``text_neg``) and any name containing "negative"."""
for key in (
"neg",
"neg_text",
"text_neg",
"negative_text",
"negative2",
"negativeprompt",
"NegativePrompt",
):
with self.subTest(key=key):
graph = {
"1": {
"class_type": "PromptManagerText",
"inputs": {"text": "bad hands", "save_to_library": False},
},
"9": {
"class_type": "PromptManagerText",
"inputs": {"text": "a cat", "save_to_library": True},
},
"7": {
"class_type": "PipeEncode",
"inputs": {"pos_text": ["9", 0], key: ["1", 0]},
},
"4": {"class_type": "CheckpointLoaderSimple", "inputs": {}},
"3": {
"class_type": "KSampler",
"inputs": {
"model": ["4", 0],
"positive": ["7", 0],
"negative": ["7", 1],
},
},
}
self.assertIsNone(file_prompt._switched_off_upstream(graph))
self.assertNotIn(
_decide(_graph(graph)).kind, ("not_saved", "not_saved_wired")
)
def test_the_guards_accept_malformed_nodes(self):
graph = {
"1": {"class_type": "PromptManagerText", "inputs": None},
"2": {"class_type": "PromptManagerText"},
}
self.assertIsNone(file_prompt._off_text(graph, "x"))
side = {"provenance": ["not", "a", "dict"]}
with mock.patch.object(file_prompt, "side_opted_out", return_value=True):
self.assertIsNone(file_prompt._side_switch(graph, side))
def test_the_off_text_guard_reads_a_nodes_resolved_text(self):
graph = {
"1": {
"class_type": "PromptManagerText",
"inputs": {"text": ["30", 0], "save_to_library": False},
},
"30": {
"class_type": "PrimitiveStringMultiline",
"inputs": {"value": "SECRET OFF TEXT"},
},
"2": {
"class_type": "PromptManagerText",
"inputs": {"text": "WIRED", "save_to_library": ["9", 0]},
},
"9": {"class_type": "SomeBoolNode", "inputs": {}},
}
self.assertEqual(file_prompt._off_text(graph, " SECRET OFF TEXT"), "not_saved")
self.assertEqual(file_prompt._off_text(graph, "WIRED"), "not_saved_wired")
self.assertIsNone(file_prompt._off_text(graph, "other"))
def test_steps_5_and_7_check_the_resolved_positive_too(self):
"""A resolved positive through an off node the #90 walk missed."""
cases = {
"pair": save_tests.run_graph(save=False),
"negative off": save_tests.run_graph(save=False, negative_save=False),
}
for name, graph in cases.items():
with (
self.subTest(name=name),
mock.patch.object(
file_prompt, "metadata_opted_out", return_value=False
),
):
self.assertEqual(_decide(_graph(graph)).kind, "not_saved")
def test_step_5_a_junk_positive_is_never_stored(self):
"""Pinned: the positive alone still passes the junk gate, and a blank
positive (never storable) stores nothing either."""
graph = save_tests.run_graph(save=True, negative_save=False)
graph["1"]["inputs"]["text"] = "2048"
decision = _decide(_graph(graph))
self.assertEqual((decision.kind, decision.source), ("never", "junk:number"))
self.assertEqual(decision.unlinked_status, "found")
graph["1"]["inputs"]["text"] = ""
decision = _decide(_graph(graph))
self.assertEqual((decision.kind, decision.text), ("never", None))
def test_step_2_a_workflow_only_opt_out_comes_before_step_3(self):
workflow = {
"nodes": [{"id": 1, "type": "PromptManager", "widgets_values": [False]}]
}
decision = _decide({"workflow": json.dumps(workflow)})
self.assertEqual(decision.kind, "not_saved")
def test_step_5_an_opted_out_negative_stores_the_positive_alone(self):
graph = save_tests.run_graph(save=True, negative_save=False)
decision = _decide(_graph(graph))
self.assertEqual(decision.kind, "positive")
self.assertEqual(decision.source, "opted-out-negative")
self.assertEqual(decision.text, save_tests.POSITIVE)
class TestResolvedSteps(unittest.TestCase):
def test_step_6_a_blank_positive_counts_as_unresolved(self):
meta = {
"prompt": json.dumps(issue_graph()),
"comfyassets_prompt_pairs": json.dumps(pair_evidence()),
}
decision = _decide(meta, policy=Policy.MONITOR, in_output=False)
self.assertEqual(decision.kind, "never")
self.assertEqual(decision.resolution["state"], "unresolved")
def test_step_7_a_resolved_pair(self):
lookup = _Lookup("9")
decision = _decide(_graph(sampled_graph("cat", "blur")), lookup=lookup)
self.assertEqual(decision.kind, "pair")
self.assertEqual(decision.source, "resolver")
self.assertEqual(decision.text, "cat")
self.assertEqual(decision.resolution["negative"]["text"], "blur")
self.assertIsNone(decision.review)
self.assertEqual(lookup.calls, 0, "decided before step 8: history not asked")
def test_step_7_a_blank_negative_stays_a_pair(self):
decision = _decide(_graph(sampled_graph("cat", "")))
self.assertEqual(decision.kind, "pair")
self.assertEqual(decision.resolution["negative"]["text"], "")
class TestUndecidedGraph(unittest.TestCase):
def test_step_8_1_the_inspector_alone_decides(self):
decision = _decide({"prompt": parity.build("f03")["prompt"]})
self.assertEqual(decision.kind, "positive")
self.assertEqual(decision.source, "inspector")
self.assertEqual(decision.text, parity.POS)
self.assertEqual(decision.resolution["state"], "unresolved")
def test_step_8_1_the_recorded_saver_names_its_branch(self):
lookup = _Lookup("23")
decision = _decide(_graph(shapes.shared_prefix()), lookup=lookup)
self.assertEqual(decision.kind, "positive")
self.assertEqual(decision.source, "recorded-run")
self.assertEqual(decision.text, shapes.BRANCH_TEXTS[1])
self.assertEqual(decision.review, "ambiguous")
self.assertEqual(lookup.calls, 1)
def test_step_8_1_stores_the_storage_text_without_prepend_or_append(self):
graph = shapes.shared_prefix()
graph["20"]["inputs"]["text"] = ["25", 1]
graph["25"] = {
"class_type": "PromptManagerSplit",
"inputs": {
"text": shapes.BRANCH_TEXTS[1],
"prepend_text": "trigger",
"append_text": "detail",
},
}
decision = _decide(_graph(graph), lookup=_Lookup("23"))
self.assertEqual(decision.source, "recorded-run")
self.assertEqual(decision.text, shapes.BRANCH_TEXTS[1])
def test_step_8_1_a_file_name_naming_another_saver_anchors_nothing(self):
graph = shapes.branch_bench()
for index in (1, 3, 4):
graph[str(index * 10 + 3)]["inputs"]["filename_prefix"] = "bench/shared"
decision = _decide(
_graph(graph), lookup=_Lookup("43"), file_name="s45_branch_2_00001_.png"
)
# The name contradicts history's branch 4: no recorded anchor.
self.assertEqual(decision.source, "legacy-parser")
def test_step_8_1_the_file_name_anchor_alone_never_decides(self):
"""#390: the file-name anchor never decides a link. The scan's legacy
floor may still link the file (as before #247), and a file nothing
links is queued with the anchor's choice per #390; the monitor
stores nothing."""
name = "s45_branch_2_00001_.png"
scan = _decide(_graph(shapes.branch_bench()), lookup=_Lookup(), file_name=name)
self.assertEqual((scan.kind, scan.source), ("positive", "legacy-parser"))
self.assertEqual(scan.review, "ambiguous")
monitor = _decide(
_graph(shapes.branch_bench()),
policy=Policy.MONITOR,
lookup=_Lookup(),
file_name=name,
)
self.assertEqual(monitor.kind, "never")
recorded = _decide(
_graph(shapes.branch_bench()), lookup=_Lookup("43"), file_name=name
)
# The recorded saver still decides: history says branch 4, but the
# file name names branch 2, which contradicts it.
self.assertNotEqual(recorded.source, "recorded-run")
recorded = _decide(_graph(shapes.branch_bench()), lookup=_Lookup("43"))
self.assertEqual(recorded.source, "recorded-run")
self.assertEqual(recorded.text, shapes.BRANCH_TEXTS[3])
def test_step_8_2_the_monitor_waits_for_history_inside_the_output_folder(self):
decision = _decide(_graph(shapes.shared_prefix()), policy=Policy.MONITOR)
self.assertEqual(decision.kind, "history")
def test_step_8_2_outside_the_output_folder_steps_8_3_and_8_4_apply(self):
decision = _decide(
_graph(shapes.shared_prefix()), policy=Policy.MONITOR, in_output=False
)
self.assertEqual(decision.kind, "never")
with _untraced_by_both():
decision = _decide(
_graph(_gated(sampled_graph())), policy=Policy.MONITOR, in_output=False
)
self.assertEqual(
(decision.kind, decision.source), ("positive", "legacy-parser")
)
def test_step_8_3_an_ambiguous_file_is_left_unlinked_by_the_monitor(self):
lookup = _Lookup("missing")
decision = _decide(
_graph(shapes.shared_prefix()), policy=Policy.MONITOR, lookup=lookup
)
self.assertEqual(decision.kind, "never")
self.assertEqual(decision.unlinked_status, "ambiguous")
self.assertFalse(decision.try_recorded_run)
self.assertEqual(lookup.calls, 1)
def test_step_8_4_joined_prompt_manager_text_is_never_the_legacy_answer(self):
"""The legacy parser returns prepend + text + append; the stored text
of a PromptManager node cannot be told from it."""
decision = _decide(_graph(_prompt_manager_branches()), lookup=_Lookup())
self.assertEqual(decision.kind, "never")
self.assertEqual(decision.unlinked_status, "ambiguous")
self.assertEqual(decision.review, "ambiguous")
self.assertTrue(decision.try_recorded_run)
# A linked part the parser does not follow: its answer is the node's
# own text, which is what the node stores (#170 parity).
linked = _prompt_manager_branches(prepend=["99", 0], append="")
decision = _decide(_graph(linked), lookup=_Lookup())
self.assertEqual((decision.kind, decision.text), ("positive", "a cat"))
def test_step_8_4_prompt_manager_text_without_parts_keeps_the_floor(self):
"""Regression guard (passes on the base): no prepend or append."""
graph = _prompt_manager_branches(prepend="", append=" ")
decision = _decide(_graph(graph), lookup=_Lookup())
self.assertEqual((decision.kind, decision.text), ("positive", "a cat"))
def test_step_8_4_an_ambiguous_file_gets_the_legacy_answer_in_the_scan(self):
decision = _decide(_graph(shapes.shared_prefix()), lookup=_Lookup())
self.assertEqual(decision.kind, "positive")
self.assertEqual(decision.source, "legacy-parser")
self.assertEqual(decision.text, shapes.BRANCH_TEXTS[0])
self.assertEqual(decision.review, "ambiguous")
def test_step_8_4_an_untraceable_file_gets_the_legacy_answer_in_both(self):
for policy in Policy:
for inspected in (_inspected("unresolved"), _inspected("x", True)):
with (
self.subTest(policy=policy, malformed=inspected.malformed),
mock.patch.object(
file_prompt, "inspection_resolution", return_value=inspected
),
):
decision = _decide(
_graph(_gated(sampled_graph("cat"))),
policy=policy,
lookup=_Lookup(),
)
self.assertEqual(decision.kind, "positive")
self.assertEqual(decision.source, "legacy-parser")
self.assertEqual(decision.text, "cat")
def test_step_8_4_nothing_traced_tries_the_recorded_run(self):
graph = sampled_graph()
graph["5"] = {**graph["3"]}
for sampler in ("3", "5"):
graph[sampler]["inputs"]["positive"] = ["9", 0]
graph["9"] = {"class_type": "BasicGuider", "inputs": {"width": 2048}}
decision = _decide(_graph(graph), lookup=_Lookup())
self.assertEqual(decision.kind, "never")
self.assertTrue(decision.try_recorded_run)
# Ambiguous without a choice is reported unresolved.
self.assertEqual(decision.unlinked_status, "unresolved")
self.assertEqual(decision.review, "untraced")
class TestStepsWithoutAnUndecidedGraph(unittest.TestCase):
def test_step_9_ambiguous_parameters_only(self):
meta = {
"parameters": (
"cat\nNegative prompt: blur\nNegative prompt: noise"
"\nSteps: 20, Sampler: Euler"
)
}
decision = _decide(meta)
self.assertEqual(decision.kind, "never")
self.assertFalse(decision.try_recorded_run)
self.assertEqual(decision.unlinked_status, "unresolved")
def test_step_10_unresolved_without_a1111_text(self):
decision = _decide({"prompt": {}, "parameters": 5})
self.assertEqual(decision.kind, "never")
self.assertFalse(decision.try_recorded_run)
self.assertEqual(decision.unlinked_status, "unresolved")
def test_step_11_sampler_less_with_one_text(self):
decision = _decide(_graph(flux_graph()))
self.assertEqual((decision.kind, decision.source), ("positive", "sampler-less"))
self.assertEqual(decision.text, "a red fox")
def test_step_11_sampler_less_with_several_texts(self):
graph = flux_graph()
graph["50"] = {
"class_type": "Lora Loader (LoraManager)",
"inputs": {"model": ["1", 0], "clip": ["2", 0], "text": "a lora note"},
}
graph["22"]["inputs"]["model"] = ["50", 0]
graph["6"]["inputs"]["clip"] = ["50", 1]
decision = _decide(_graph(graph))
self.assertEqual(decision.kind, "never")
self.assertTrue(decision.try_recorded_run)
self.assertEqual(decision.unlinked_status, "unresolved")
meta = {**_graph(graph), "parameters": "a red fox\nNegative prompt: x"}
decision = _decide(meta)
self.assertEqual((decision.kind, decision.source), ("positive", "a1111"))
self.assertEqual(decision.text, "a red fox")
def test_step_11_sampler_less_without_a_text(self):
graph = {"40": {"class_type": "easy showAnything", "inputs": {"text": "x"}}}
decision = _decide(_graph(graph))
self.assertEqual(decision.kind, "never")
self.assertTrue(decision.try_recorded_run)
self.assertEqual(decision.unlinked_status, "found")
def test_step_12_a1111_only(self):
decision = _decide({"parameters": "a cat"})
self.assertEqual((decision.kind, decision.source), ("positive", "a1111"))
self.assertEqual(decision.text, "a cat")
decision = _decide({"parameters": "Negative prompt: blur"})
self.assertEqual((decision.kind, decision.unlinked_status), ("never", "found"))
self.assertFalse(decision.try_recorded_run)
def test_step_12_parsed_metadata_never_raises(self):
# The monitor hands parsed values: a dict prompt, non-string parameters.
decision = _decide({"prompt": {}, "parameters": "a cat"})
self.assertEqual(decision.text, "a cat")
decision = _decide({"parameters": 5})
self.assertEqual((decision.kind, decision.unlinked_status), ("never", "found"))
class TestJunkGate(unittest.TestCase):
JUNK = {
"blank": " ",
"number": "2048",
"lora-only": f"{LORA}, <lora:detail:0.5> |",
"model-file": "models/checkpoints/Flux-Dev.SafeTensors",
}
def test_each_junk_class_is_named(self):
for name, text in self.JUNK.items():
with self.subTest(name=name):
self.assertEqual(junk_text(text), name)
for ending in ("ckpt", "pt", "pth", "bin", "gguf", "sft"):
self.assertEqual(junk_text(f"model.{ending}"), "model-file")
def test_near_misses_are_not_junk(self):
for text in (
f"a red fox {LORA}",
"a.safetensors b.safetensors",
"nan",
"a portrait saved as final.safetensors",
"4k",
"C:\\My Models\\x.safetensors",
):
with self.subTest(text=text):
self.assertIsNone(junk_text(text))
def test_step_13_junk_from_any_step_is_never_stored(self):
cases = {
"resolver": _graph(sampled_graph("2048", "blur")),
"sampler-less": _graph(flux_graph(text=LORA)),
"a1111": {"parameters": "model.safetensors"},
}
for step, meta in cases.items():
with self.subTest(step=step):
decision = _decide(meta)
self.assertEqual(decision.kind, "never")
self.assertTrue(decision.source.startswith("junk:"), decision.source)
self.assertTrue(decision.try_recorded_run)
self.assertEqual(decision.unlinked_status, "found")
def test_step_13_a_junk_legacy_answer_is_never_stored(self):
with _untraced_by_both():
decision = _decide(_graph(_gated(sampled_graph(LORA))), lookup=_Lookup())
self.assertEqual(decision.source, "junk:lora-only")
self.assertEqual(decision.kind, "never")
self.assertEqual(decision.unlinked_status, "unresolved")
def test_step_13_junk_at_step_8_keeps_that_steps_status_and_review(self):
# An ambiguous file whose legacy answer is a number is still a
# Needs review case: its status stays "ambiguous".
decision = _decide(_graph(_numeric_first_branches()), lookup=_Lookup())
self.assertEqual((decision.kind, decision.source), ("never", "junk:number"))
self.assertEqual(decision.unlinked_status, "ambiguous")
self.assertEqual(decision.review, "ambiguous")
self.assertTrue(decision.try_recorded_run)
class TestParseComfyuiPrompt(unittest.TestCase):
def test_a_parsed_prompt_and_non_string_values_are_kept(self):
parsed = file_prompt.parse_comfyui_prompt(
{"prompt": {"1": {}}, "workflow": {"nodes": []}, "steps": 20}
)
self.assertEqual(parsed["prompt"], {"1": {}})
self.assertEqual(parsed["workflow"], {"nodes": []})
self.assertEqual(parsed["parameters"]["steps"], 20)
self.assertIsNone(parsed["positive_prompt"])
def test_non_string_parameters_are_ignored(self):
parsed = file_prompt.parse_comfyui_prompt({"parameters": {"a": 1}})
self.assertIsNone(parsed["positive_prompt"])
if __name__ == "__main__":
unittest.main()
+18 -14
View File
@@ -1,9 +1,11 @@
"""Ingestion keeps the default resolver profile; only inspection routes moved (D1).
"""Ingestion decides with the default resolver profile first (D1, #247 D-Q1).
The live monitor and the admin scan write pairs and links to the user's
database, so their resolver semantics stay byte-for-byte today's. f03 (506
executable nodes) separates the profiles: the default profile's 500-node gate
leaves it unresolved, while the inspection profile resolves it.
database, so the default profile decides every file it can, byte-for-byte as
before. f03 (506 executable nodes) separates the profiles: the default
profile's 500-node gate leaves it unresolved, while the inspection profile
resolves it. Only such an undecided file reaches the inspector's resolve
(``inspection_resolution``), and only its positive is stored (#247).
"""
import logging
@@ -68,24 +70,26 @@ class TestIngestionKeepsDefaultProfile(unittest.TestCase):
spy.assert_default_and_gated(self)
handler.db_manager.link_image_to_prompt_or_raise.assert_called_once()
def test_admin_scan_ingestion_uses_the_default_profile(self):
def test_admin_scan_ingestion_uses_the_default_profile_first(self):
from py.api import admin
from utils import file_prompt
mixin = admin.AdminRoutesMixin.__new__(admin.AdminRoutesMixin)
mixin.db = Mock()
mixin.db.get_prompt_by_hash.return_value = None
mixin.db.save_prompt.return_value = 7
spy = _Spy()
with patch.object(admin, "resolve_prompt_pair", spy):
with (
patch.object(file_prompt, "resolve_prompt_pair", spy),
patch.object(
admin, "store_scanned_prompt", return_value=("added", 7)
) as store,
):
status = mixin._ingest_scanned_file(Path("/out/f03.png"), _f03_metadata())
spy.assert_default_and_gated(self)
# The resolver leaves f03 unresolved; the scan links the prompt the
# browser parser traces, as the inspector shows it.
# The default profile leaves f03 unresolved; the inspector's resolve
# names the prompt the inspector shows, and the scan stores it.
self.assertEqual(status, "added")
self.assertEqual(
mixin.db.save_prompt.call_args.args[0], "a red fox in snow, detailed fur"
)
mixin.db.link_image_to_prompt.assert_called_once()
self.assertEqual(store.call_args.args[3], "a red fox in snow, detailed fur")
mixin.db.link_image_to_prompt.assert_not_called()
if __name__ == "__main__":
+159
View File
@@ -1,9 +1,12 @@
"""Metadata scanning enriches known pairs and conservatively leaves conflicts."""
import json
import sqlite3
from pathlib import Path
from unittest.mock import patch
from tests.test_api_admin import AdminAPITestCase
from utils.hashing import generate_prompt_hash
def graph(positive="cat", negative="blur"):
@@ -449,3 +452,159 @@ class TestSamplerLessScan(AdminAPITestCase):
path = self.output_dir / "saver.png"
self.assertEqual(self.api._ingest_scanned_file(path, meta), "added")
self.assertEqual(self._texts(), ["a red fox"])
class TestScanDecision(AdminAPITestCase):
"""The scan applies the shared per-file decision (#247): one prompt per
file, no junk text, marks on every prompt it creates."""
def _path(self, name):
path = self.output_dir / name
path.write_bytes(b"png")
return path
def _links(self, path):
rows = self.api.db.model.get_connection().execute(
"SELECT prompt_id FROM generated_images WHERE image_path=?", (str(path),)
)
return [row[0] for row in rows]
def _prompt(self, text):
return self.api.db.get_prompt_by_hash(generate_prompt_hash(text))
def test_a_file_linked_to_another_prompt_is_a_conflict(self):
path = self._path("fox.png")
other = self.api.db.save_prompt(
"a dog", prompt_hash=generate_prompt_hash("a dog")
)
self.api.db.link_image_to_prompt(other, str(path))
meta = {"prompt": json.dumps(flux_graph())}
self.assertEqual(self.api._ingest_scanned_file(path, meta), "conflict")
self.assertEqual(self._links(path), [other])
self.assertIsNone(self._prompt("a red fox"))
def test_junk_text_is_never_stored(self):
cases = {
"lora.png": {"prompt": json.dumps(flux_graph(text="<lora:style:1.00>"))},
"model.png": {"parameters": "models/flux-dev.safetensors"},
}
for name, meta in cases.items():
with self.subTest(name=name):
path = self._path(name)
self.assertEqual(self.api._ingest_scanned_file(path, meta), "found")
self.assertEqual(self._links(path), [])
self.assertEqual(self.api.db.get_recent_prompts()["prompts"], [])
def test_created_prompts_carry_the_scan_marks(self):
path = self._path("pair.png")
meta = {"prompt": json.dumps(sampled_graph("cat", "blur"))}
self.assertEqual(self.api._ingest_scanned_file(path, meta), "added")
for text in ("cat", "blur"):
prompt = self._prompt(text)
self.assertEqual(prompt["category"], "scanned")
self.assertEqual(prompt["tags"], ["auto-scanned"])
self.assertEqual(prompt["notes"], "Auto-scanned from pair.png")
def test_outcome_of_a_positive_reports_its_title(self):
"""Regression guard (passes on the base): the detailed positive row."""
path = self._path("fox.png")
meta = {"prompt": json.dumps(flux_graph())}
first = self.api._ingest_scanned_file(path, meta, detailed=True)
self.assertEqual(first, {"status": "added", "title": "a red fox"})
again = self.api._ingest_scanned_file(path, meta, detailed=True)
self.assertEqual(again["status"], "unchanged")
other = self._path("fox2.png")
linked = self.api._ingest_scanned_file(other, meta, detailed=True)
self.assertEqual(linked["status"], "linked")
def test_outcome_of_a_pair_reports_its_counts(self):
"""Regression guard (passes on the base): the detailed pair row."""
path = self._path("pair.png")
meta = {"prompt": json.dumps(sampled_graph("cat", "blur"))}
result = self.api._ingest_scanned_file(path, meta, detailed=True)
self.assertEqual(result["status"], "added")
self.assertEqual((result["pairs_added"], result["links_added"]), (1, 1))
self.assertEqual(result["title"], "cat")
def test_outcome_without_a_store_reports_the_unlinked_status(self):
"""Regression guard (passes on the base): never-stored rows."""
path = self._path("notes.png")
meta = {"prompt": json.dumps({"40": {"class_type": "Textbox", "inputs": {}}})}
self.assertEqual(self.api._ingest_scanned_file(path, meta), "found")
self.assertIsNone(self.api._ingest_scanned_file(path, {}))
def test_review_lists_get_the_default_profiles_ambiguous_files(self):
"""Regression guard (passes on the base): Needs review inputs."""
g = sampled_graph()
g["6"] = {"class_type": "CLIPTextEncode", "inputs": {"text": "dog"}}
g["12"] = {**g["3"], "inputs": {**g["3"]["inputs"], "positive": ["6", 0]}}
ambiguous, untraced, records = [], [], {}
path = self._path("two.png")
status = self.api._ingest_scanned_file(
path,
{"prompt": json.dumps(g)},
ambiguous=ambiguous,
untraced=untraced,
records=records,
)
# Linked by the legacy floor, still listed (queued only if unlinked).
self.assertEqual(status, "added")
self.assertEqual((ambiguous, untraced), ([path], []))
self.assertEqual(records["canonical"]["prompt"], g)
def test_an_ambiguous_file_with_a_junk_answer_is_still_queued(self):
from tests.test_file_prompt import _numeric_first_branches
path = self._path("numbers.png")
meta = {"prompt": json.dumps(_numeric_first_branches())}
with patch.object(
type(self.api), "_record_scanned_review", autospec=True
) as record:
counts = self.api._ingest_scan_batch_sync([(path, meta)])
self.assertEqual(counts["ambiguous"], 1, counts)
record.assert_called_once()
self.assertEqual(self._links(path), [])
def test_a_conflict_row_says_the_link_was_kept(self):
from py.api.admin import _scan_outcome
_group, row, _line = _scan_outcome(self._path("c.png"), [], "conflict")
self.assertEqual(row["detail"], "Kept: already linked to a different prompt")
def test_a_library_move_reruns_the_scan_writes(self):
from py.api import admin
real = admin.ingest_resolved_pair
model = self.api.db.model
def moved_once(*args, **kwargs):
if not calls:
calls.append(1)
model._generation += 1
raise sqlite3.OperationalError("closed")
return real(*args, **kwargs)
calls = []
path = self._path("pair.png")
with patch.object(admin, "ingest_resolved_pair", side_effect=moved_once):
meta = {"prompt": json.dumps(sampled_graph("cat", "blur"))}
self.assertEqual(self.api._ingest_scanned_file(path, meta), "added")
self.assertEqual(calls, [1])
def test_an_off_node_behind_a_pass_through_stores_nothing(self):
"""#90 regression guard for the scan (main stored nothing here)."""
from tests.test_save_to_library import run_graph
g = run_graph(save=False)
g["1"]["class_type"] = "PromptManagerText"
g["7"] = {"class_type": "easy showAnything", "inputs": {"anything": ["1", 0]}}
g["8"] = {
"class_type": "CLIPTextEncode",
"inputs": {"text": ["7", 0], "clip": ["4", 1]},
}
g["3"]["inputs"]["positive"] = ["8", 0]
path = self._path("off.png")
meta = {"prompt": json.dumps(g)}
self.assertEqual(self.api._ingest_scanned_file(path, meta), "not_saved")
self.assertEqual(self.api.db.get_recent_prompts()["prompts"], [])
self.assertEqual(self._links(path), [])
+84
View File
@@ -375,5 +375,89 @@ class TestRecordedTexts(unittest.TestCase):
self.assertEqual(evidence["resolution"]["sampler_id"], sampler)
class TestInspectionResolution(unittest.TestCase):
"""``inspection_resolution``: the inspector's resolve and recorded anchor,
shared with ingestion (#247), so the two cannot drift."""
def _result(self, graph, saver=None, *, as_text=True, name="IMG_GEN_00371_.png"):
from utils.prompt_inspector import inspection_resolution
prompt = json.dumps(graph) if as_text else graph
return inspection_resolution({"prompt": prompt}, name, saver)
def test_the_recorded_saver_names_its_branch_by_record(self):
result = self._result(shapes.shared_prefix(), _saver(2))
self.assertTrue(result.by_record)
self.assertFalse(result.malformed)
self.assertEqual(result.resolution["state"], "resolved")
self.assertEqual(_positive(result.resolution), shapes.BRANCH_TEXTS[1])
self.assertIs(result.anchored, result.resolution)
def test_without_a_saver_nothing_is_anchored(self):
result = self._result(shapes.shared_prefix())
self.assertEqual(result.resolution["state"], "ambiguous")
self.assertIsNone(result.anchored)
self.assertFalse(result.by_record)
def test_a_saver_that_names_nothing_keeps_the_open_result(self):
result = self._result(shapes.shared_prefix(), "missing")
self.assertEqual(result.resolution["state"], "ambiguous")
self.assertIsNotNone(result.anchored)
self.assertFalse(result.by_record)
def test_a_file_that_resolves_alone_is_never_anchored(self):
result = self._result(
shapes.branch_bench(), _saver(4), name="s45_branch_2_00001_.png"
)
self.assertEqual(_positive(result.resolution), shapes.BRANCH_TEXTS[1])
self.assertIsNone(result.anchored)
self.assertFalse(result.by_record)
def test_parsed_metadata_resolves_as_the_file_text_does(self):
# The monitor hands parsed dicts; the scan hands the file's strings.
parsed = self._result(shapes.shared_prefix(), _saver(3), as_text=False)
text = self._result(shapes.shared_prefix(), _saver(3))
self.assertEqual(parsed.resolution, text.resolution)
def test_malformed_metadata_is_reported_as_malformed(self):
from utils.prompt_inspector import inspection_resolution
result = inspection_resolution({"prompt": "{not json"}, None, None)
self.assertTrue(result.malformed)
self.assertEqual(result.resolution["state"], "unresolved")
self.assertEqual(result.resolution["reason_code"], "malformed")
def test_metadata_without_a_role_record_is_absent(self):
from utils.prompt_inspector import inspection_resolution
result = inspection_resolution({"workflow": "{}"}, None, "9")
self.assertFalse(result.malformed)
self.assertEqual(result.resolution["state"], "absent")
def test_without_the_name_anchor_a_file_name_names_no_branch(self):
from utils.prompt_inspector import inspection_resolution
graph = {"prompt": json.dumps(shapes.branch_bench())}
name = "s45_branch_2_00001_.png"
named = inspection_resolution(graph, name, None)
self.assertEqual(_positive(named.resolution), shapes.BRANCH_TEXTS[1])
blind = inspection_resolution(graph, name, None, name_anchor=False)
self.assertEqual(blind.resolution["state"], "ambiguous")
# The recorded saver still decides, and the name still contradicts it.
recorded = inspection_resolution(graph, name, _saver(2), name_anchor=False)
self.assertTrue(recorded.by_record)
shared = {"prompt": json.dumps(shapes.shared_prefix())}
bench = shapes.branch_bench()
for index in (1, 3, 4):
bench[_saver(index)]["inputs"]["filename_prefix"] = "bench/shared"
contradicted = inspection_resolution(
{"prompt": json.dumps(bench)}, name, _saver(4), name_anchor=False
)
self.assertFalse(contradicted.by_record)
self.assertTrue(
inspection_resolution(shared, name, _saver(4), name_anchor=False).by_record
)
if __name__ == "__main__":
unittest.main()
+155 -3
View File
@@ -17,6 +17,8 @@ from database.run_attribution import (
from tests import test_execution_history_database as history_tests
from tests.background_stops import close_handler
from tests.test_api_admin import AdminAPITestCase
from tests import saver_anchor_graphs as shapes
from tests.test_pair_scan import sampled_graph
from tests.test_execution_context_database import known, snapshot
from tests.test_prompt_attribution import issue_graph, llm_text_graph, make_tracker
from utils.execution_contexts import (
@@ -326,7 +328,7 @@ class TestRecordedOutputNode(RecordedRuns, unittest.TestCase):
self.assertIsNone(recorded_output_lookup(broken)(self.image))
with (
mock.patch(
"database.run_attribution._recorded_runs",
"database.run_attribution.recorded_runs",
side_effect=sqlite3.OperationalError("locked"),
),
self.assertLogs("prompt_manager.run_attribution", "WARNING"),
@@ -451,6 +453,86 @@ class TestScanUsesHistory(RecordedRuns, AdminAPITestCase):
self.assertIsNone(self.linked_prompt(path))
self.assertEqual(db.list_prompt_pairs()["pairs"], [])
def scan_dataset(self, names, nodes):
"""Two branches of the shared-prefix dataset graph, one run, then a scan."""
paths = [self.write(name) for name in names]
self.record_run(
self.api.db,
str(self.output_dir),
[("", path.name) for path in paths],
[],
nodes=nodes,
)
meta = {"prompt": json.dumps(shapes.shared_prefix())}
return paths, self.api._ingest_scan_batch_sync([(p, meta) for p in paths])
def test_the_recorded_saver_links_each_dataset_file_to_its_branch(self):
"""#247: before, the legacy parser gave every branch the first prompt."""
paths, counts = self.scan_dataset(
["IMG_GEN_00001_.png", "IMG_GEN_00002_.png"], ["13", "23"]
)
self.assertEqual(counts["added"], 2, counts)
for path, text in zip(paths, shapes.BRANCH_TEXTS):
prompt = self.api.db.get_prompt_by_hash(generate_prompt_hash(text))
self.assertEqual(self.linked_prompt(path), prompt["id"])
self.assertEqual(prompt["category"], "scanned")
def test_a_file_the_legacy_answer_linked_is_left_as_it_is(self):
"""#247 Q5: a rescan never adds a second link to the branch prompt."""
db = self.api.db
legacy = shapes.BRANCH_TEXTS[0]
legacy_id = db.save_prompt(legacy, prompt_hash=generate_prompt_hash(legacy))
path = self.write("IMG_GEN_00002_.png")
db.link_image_to_prompt(legacy_id, str(path))
self.record_run(db, str(self.output_dir), [("", path.name)], [], nodes=["23"])
meta = {"prompt": json.dumps(shapes.shared_prefix())}
self.assertEqual(self.api._ingest_scanned_file(path, meta), "conflict")
self.assertEqual(self.linked_prompt(path), legacy_id)
self.assertIsNone(
db.get_prompt_by_hash(generate_prompt_hash(shapes.BRANCH_TEXTS[1]))
)
def test_a_recorded_run_never_adds_a_second_link(self):
db = self.api.db
db.save_prompt(text=LLM_TEXT, prompt_hash=generate_prompt_hash(LLM_TEXT))
other = db.save_prompt(text="a dog", prompt_hash=generate_prompt_hash("a dog"))
path = self.write("bare_00003_.png")
db.link_image_to_prompt(other, str(path))
self.record_run(db, str(self.output_dir), [("", path.name)], [LLM_TEXT])
self.assertEqual(self.api._ingest_scanned_file(path, {}), "conflict")
rows = db.model.get_connection().execute(
"SELECT prompt_id FROM generated_images WHERE image_path=?", (str(path),)
)
self.assertEqual([row[0] for row in rows], [other])
def test_a_single_file_asks_history_once(self):
db = self.api.db
db.save_prompt(text=LLM_TEXT, prompt_hash=generate_prompt_hash(LLM_TEXT))
path = self.write("llm_00002_.png")
self.record_run(db, str(self.output_dir), [("", path.name)], [LLM_TEXT])
meta = {"prompt": json.dumps(llm_text_graph())}
statements = []
conn = db.model.get_connection()
conn.set_trace_callback(statements.append)
try:
self.assertEqual(self.api._ingest_scanned_file(path, meta), "linked")
finally:
conn.set_trace_callback(None)
lookups = [s for s in statements if "FROM execution_run_outputs" in s]
self.assertEqual(len(lookups), 1)
def test_a_file_the_recorded_saver_links_is_not_queued(self):
"""A default-ambiguous file linked at the inspector's step is no
Needs review case."""
with mock.patch.object(
type(self.api), "_record_scanned_review", autospec=True
) as record:
_paths, counts = self.scan_dataset(
["IMG_GEN_00003_.png", "IMG_GEN_00004_.png"], ["13", "23"]
)
self.assertEqual(counts["added"], 2, counts)
record.assert_not_called()
class TestHostHelpers(unittest.TestCase):
"""The host lookups degrade to "no proof", never to an error."""
@@ -752,13 +834,17 @@ class TestScanBatchLookup(RecordedRuns, AdminAPITestCase):
"""M5: a scan batch asks history once per chunk of names, not per file."""
def test_a_batch_its_metadata_links_never_asks_history(self):
"""R3: the batch lookup is made only when a file needs it."""
"""R3: the batch lookup is made only when a file needs it.
Since #247 every file the default profile leaves undecided asks (the
recorded saver may name its branch), so these files resolve as pairs.
"""
files = []
for n in range(3):
path = self.output_dir / f"typed_{n:05}_.png"
path.write_bytes(b"png")
files.append(path)
meta = {"prompt": json.dumps(issue_graph(text="typed mountains"))}
meta = {"prompt": json.dumps(sampled_graph("typed mountains"))}
statements = []
conn = self.api.db.model.get_connection()
conn.set_trace_callback(statements.append)
@@ -802,6 +888,72 @@ class TestScanBatchLookup(RecordedRuns, AdminAPITestCase):
}
self.assertEqual(linked, {f.name for f in files[:4]})
def test_the_batch_saver_equals_the_files_recorded_output(self):
from py.api.admin import _BatchHistory
db = self.api.db
names = ["one_node.png", "two_nodes.png", "two_runs.png", "unrecorded.png"]
files = []
for name in names:
path = self.output_dir / name
path.write_bytes(b"png")
files.append(path)
root = str(self.output_dir)
self.record_run(db, root, [("", "one_node.png")], [], nodes=["13"])
self.record_run(
db, root, [("", "two_nodes.png")] * 2, [], item=1, nodes=["13", "23"]
)
self.record_run(db, root, [("", "two_runs.png")], [], item=2)
self.record_run(db, root, [("", "two_runs.png")], [], item=3)
history = _BatchHistory(self.api, files)
with mock.patch(
"database.run_attribution.host_output_directory", return_value=root
):
for path in files:
with self.subTest(path=path.name):
expected = recorded_output(db, str(path), root)
found = history.recorded(str(path))
if expected is None:
self.assertIsNone(found)
else:
self.assertEqual(found.saver_id, expected.saver_id)
self.assertEqual(history.recorded(str(files[0])).saver_id, "13")
self.assertIsNone(history.recorded(str(files[1])).saver_id)
def test_a_failed_batch_lookup_is_logged_and_names_nothing(self):
from py.api.admin import _BatchHistory
path = self.output_dir / "x.png"
history = _BatchHistory(self.api, [path])
with (
mock.patch(
"py.api.admin.recorded_runs", side_effect=sqlite3.OperationalError("x")
),
self.assertLogs("prompt_manager", "WARNING"),
):
self.assertIsNone(history.recorded(str(path)))
self.assertIsNone(history.get(str(path)))
def test_a_failed_prompt_lookup_is_logged_and_names_nothing(self):
from py.api.admin import _BatchHistory
path = self.output_dir / "one.png"
path.write_bytes(b"png")
root = str(self.output_dir)
self.record_run(self.api.db, root, [("", path.name)], [LLM_TEXT])
history = _BatchHistory(self.api, [path])
with (
mock.patch(
"database.run_attribution.host_output_directory", return_value=root
),
mock.patch(
"py.api.admin.named_prompt", side_effect=sqlite3.OperationalError("x")
),
self.assertLogs("prompt_manager", "WARNING"),
):
self.assertIsNone(history.get(str(path)))
self.assertEqual(history.recorded(str(path)).saver_id, "9")
class TestLinkedOutputRoot(RecordedRuns, unittest.TestCase):
"""R2: ComfyUI's output folder reached through a symlink or junction."""
+274
View File
@@ -0,0 +1,274 @@
"""Storing a file's prompt from its text: one transaction, one prompt each (#247)."""
import os
import sqlite3
import tempfile
import threading
import unittest
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path
from unittest import mock
try:
from tests.open_handles import assert_closed
from tests import test_execution_history_database as history_tests
except ImportError: # discovered with tests/ as the top-level directory
from open_handles import assert_closed
import test_execution_history_database as history_tests
from database.operations import PromptDatabase
from database.pair_ingestion import (
RUN_MARKS,
SCAN_MARKS,
Marks,
ingest_resolved_pair,
)
from database.scanned_prompts import store_scanned_prompt, store_scanned_prompt_or_raise
from utils.hashing import generate_prompt_hash
META = {"prompt": {"1": {"class_type": "CLIPTextEncode", "inputs": {"text": "x"}}}}
def resolved(positive="cat", negative="blur"):
return {
"state": "resolved",
"positive": {"text": positive, "provenance": {"source": "api"}},
"negative": {"text": negative, "provenance": {"source": "api"}},
}
class StoreCase(unittest.TestCase):
def setUp(self):
self.temp = tempfile.TemporaryDirectory()
self.db = PromptDatabase(str(Path(self.temp.name) / "test.db"))
self.path = str(Path(self.temp.name) / "gen.png")
def tearDown(self):
self.db.close_all()
assert_closed(self, self.temp.name)
self.temp.cleanup()
def prompts(self):
rows = self.db.model.get_connection().execute(
"SELECT id, text FROM prompts ORDER BY id"
)
return [tuple(row) for row in rows]
def links(self):
rows = self.db.model.get_connection().execute(
"SELECT prompt_id, image_path FROM generated_images ORDER BY id"
)
return [tuple(row) for row in rows]
def save(self, text, **fields):
return self.db.save_prompt(
text, prompt_hash=generate_prompt_hash(text), **fields
)
class TestStoreScannedPrompt(StoreCase):
def test_a_new_text_is_created_with_the_scan_marks_and_linked(self):
status, prompt_id = store_scanned_prompt_or_raise(
self.db, self.path, META, " a cat ", SCAN_MARKS
)
self.assertEqual(status, "added")
prompt = self.db.get_prompt_by_id(prompt_id)
self.assertEqual(prompt["text"], "a cat")
self.assertEqual(prompt["category"], "scanned")
self.assertEqual(prompt["tags"], ["auto-scanned"])
self.assertEqual(prompt["notes"], "Auto-scanned from gen.png")
self.assertEqual(prompt["run_count"], 0)
self.assertEqual(self.links(), [(prompt_id, self.path)])
def test_a_run_created_prompt_names_the_workflow_run(self):
_status, prompt_id = store_scanned_prompt_or_raise(
self.db, self.path, META, "a cat", RUN_MARKS
)
prompt = self.db.get_prompt_by_id(prompt_id)
self.assertEqual(prompt["notes"], "Saved from a workflow run: gen.png")
self.assertEqual(prompt["tags"], ["auto-scanned"])
def test_a_stored_text_is_reused_by_hash_and_keeps_its_fields(self):
existing = self.save("A Cat", category="mine", notes="kept")
status, prompt_id = store_scanned_prompt_or_raise(
self.db, self.path, META, "a cat ", SCAN_MARKS
)
self.assertEqual((status, prompt_id), ("linked", existing))
prompt = self.db.get_prompt_by_id(existing)
self.assertEqual((prompt["category"], prompt["notes"]), ("mine", "kept"))
self.assertEqual(prompt["tags"], [])
self.assertEqual(len(self.prompts()), 1)
def test_a_repeat_is_unchanged(self):
first = store_scanned_prompt_or_raise(
self.db, self.path, META, "a cat", SCAN_MARKS
)
again = store_scanned_prompt_or_raise(
self.db, self.path, META, "a cat", SCAN_MARKS
)
self.assertEqual(again, ("unchanged", first[1]))
self.assertEqual(len(self.links()), 1)
def test_a_file_linked_to_another_prompt_is_a_conflict(self):
other = self.save("a dog")
# Linked under another spelling of the same file.
spelled = os.path.join(self.temp.name, ".", "gen.png")
self.db.link_image_to_prompt(other, spelled)
result = store_scanned_prompt_or_raise(
self.db, self.path, META, "a cat", SCAN_MARKS
)
self.assertEqual(result, ("conflict", None))
self.assertEqual(self.prompts(), [(other, "a dog")])
self.assertEqual(self.links(), [(other, spelled)])
def test_a_failed_link_raises_and_leaves_no_prompt_behind(self):
with mock.patch.object(
self.db, "_insert_image_link", side_effect=sqlite3.OperationalError("x")
):
with self.assertRaises(sqlite3.OperationalError):
store_scanned_prompt_or_raise(
self.db, self.path, META, "a cat", SCAN_MARKS
)
with self.assertLogs("prompt_manager", "ERROR"):
result = store_scanned_prompt(
self.db, self.path, META, "a cat", SCAN_MARKS
)
self.assertEqual(result, ("found", None))
self.assertEqual(self.prompts(), [])
self.assertEqual(self.links(), [])
def test_two_concurrent_writers_store_one_prompt_and_one_link(self):
hold = history_tests.FirstWriterHold()
outcome = self.db._pair_component_outcome
started = threading.Barrier(2)
def held_open(*args, **kwargs):
hold()
return outcome(*args, **kwargs)
def write(_index):
started.wait(timeout=30)
try:
return store_scanned_prompt_or_raise(
self.db, self.path, META, "a cat", SCAN_MARKS
)[0]
finally:
self.db.model.close()
with (
mock.patch.object(
self.db, "_pair_component_outcome", side_effect=held_open
),
ThreadPoolExecutor(max_workers=2) as pool,
):
statuses = sorted(pool.map(write, range(2)))
self.assertEqual(statuses, ["added", "unchanged"])
self.assertEqual(len(self.prompts()), 1)
self.assertEqual(len(self.links()), 1)
def test_a_library_move_reruns_the_store(self):
from database import scanned_prompts
real = scanned_prompts.store_scanned_prompt_or_raise
calls = []
def moved_once(*args, **kwargs):
if not calls:
calls.append(1)
self.db.model._generation += 1
raise sqlite3.OperationalError("closed")
return real(*args, **kwargs)
with mock.patch.object(
scanned_prompts, "store_scanned_prompt_or_raise", side_effect=moved_once
):
status, _id = store_scanned_prompt(
self.db, self.path, META, "a cat", SCAN_MARKS
)
self.assertEqual((status, calls), ("added", [1]))
def _linked_folder(self):
"""``(out_real, out_link)``: a symlink to the same output folder."""
from tests.test_api_duplicate_files import TestReview
if not TestReview._can_symlink(self.temp.name): # pragma: no cover
self.skipTest("symlinks are not available")
real = Path(self.temp.name) / "out_real"
real.mkdir()
link = Path(self.temp.name) / "out_link"
os.symlink(str(real), str(link))
(real / "a.png").write_bytes(b"png")
return os.path.realpath(str(real)), str(link)
def test_a_file_linked_through_its_real_folder_is_found_through_a_link(self):
"""The scan stores realpath spellings, the monitor the watcher's."""
real, link = self._linked_folder()
other = self.save("a dog")
self.db.link_image_to_prompt(other, os.path.join(real, "a.png"))
through_link = os.path.join(link, "a.png")
self.assertEqual(
store_scanned_prompt_or_raise(
self.db, through_link, META, "a cat", SCAN_MARKS
),
("conflict", None),
)
self.assertEqual(
store_scanned_prompt_or_raise(
self.db, through_link, META, "a dog", SCAN_MARKS
),
("unchanged", other),
)
pair = ingest_resolved_pair(self.db, through_link, META, resolved())
self.assertEqual(pair["status"], "conflict")
self.assertEqual(len(self.links()), 1)
class TestPairMarks(StoreCase):
def test_marks_reach_only_created_components(self):
kept = self.save("cat", category="mine")
result = ingest_resolved_pair(
self.db, self.path, META, resolved(), marks=RUN_MARKS
)
self.assertEqual(result["status"], "added")
positive = self.db.get_prompt_by_id(kept)
self.assertEqual((positive["category"], positive["tags"]), ("mine", []))
negative_id = next(pid for pid, text in self.prompts() if text == "blur")
negative = self.db.get_prompt_by_id(negative_id)
self.assertEqual(negative["category"], "scanned")
self.assertEqual(negative["tags"], ["auto-scanned"])
self.assertEqual(negative["notes"], "Saved from a workflow run: gen.png")
def test_without_marks_created_components_stay_bare(self):
"""Regression guard (passes on the base): the node path is unchanged."""
ingest_resolved_pair(self.db, self.path, META, resolved())
for prompt_id, _text in self.prompts():
prompt = self.db.get_prompt_by_id(prompt_id)
self.assertIsNone(prompt["category"])
self.assertEqual(prompt["tags"], [])
def test_a_blank_negative_creates_only_the_positive(self):
result = ingest_resolved_pair(
self.db, self.path, META, resolved(negative=""), marks=SCAN_MARKS
)
self.assertEqual(result["status"], "added")
self.assertEqual([text for _id, text in self.prompts()], ["cat"])
def test_marks_are_a_frozen_value(self):
self.assertEqual(
SCAN_MARKS, Marks("scanned", ("auto-scanned",), SCAN_MARKS.note)
)
with self.assertRaises(AttributeError):
SCAN_MARKS.category = "x"
class TestPublicRunAttribution(unittest.TestCase):
def test_recorded_runs_and_named_prompt_are_public(self):
from database import run_attribution
self.assertTrue(callable(run_attribution.recorded_runs))
self.assertTrue(callable(run_attribution.named_prompt))
self.assertFalse(hasattr(run_attribution, "_recorded_runs"))
if __name__ == "__main__":
unittest.main()
+634
View File
@@ -0,0 +1,634 @@
"""The per-file prompt decision shared by the output scan and the monitor (#247).
``decide_file_prompt`` is the ladder: which prompt one output file names,
from its metadata alone plus, when the graph cannot decide, the save node
recorded history says wrote it. It does no file or database I/O; the caller
reads the metadata, the file size and history (through ``lookup``) and
stores the ``Decision``.
The default resolver profile decides first, as ingestion always has. Only
for a file it leaves ambiguous or unresolved does the ladder ask the
inspector's resolve (``inspection_resolution``: the inspection profile, then
the recorded saver anchor; never the file-name saver anchor, whose files go
to Needs review by the #390 ruling), then the #170 browser parser (the legacy floor).
The policies differ in one place: for a file the inspector calls ambiguous,
the scan keeps the legacy floor and the monitor stores nothing. Junk text
(``junk_text``) is never stored, whichever step found it.
"""
import json
import re
from dataclasses import dataclass, field
from enum import Enum
from typing import Any, Callable, Mapping, Optional, Union
from .generation_params import (
PLACEHOLDERS,
GenerationParamsError,
extract_generation_params,
parse_page_json,
)
from .prompt_graph import (
PROMPT_MANAGER_TYPES,
_positive_roots,
is_negative_input,
metadata_opted_out,
resolve_text,
save_setting,
side_opted_out,
)
from .prompt_inspector import inspection_resolution
from .prompt_pair_resolver import _numeric, resolve_prompt_pair, sampler_less_prompt
from .review_capture import reviewable
try:
from ..database.pair_ingestion import blank_positive
except ImportError:
from database.pair_ingestion import blank_positive
class Policy(Enum):
SCAN = "scan"
MONITOR = "monitor"
PAIR = "pair"
POSITIVE = "positive"
HISTORY = "history"
NOT_SAVED = "not_saved"
NOT_SAVED_WIRED = "not_saved_wired"
NEVER = "never"
KINDS = (PAIR, POSITIVE, HISTORY, NOT_SAVED, NOT_SAVED_WIRED, NEVER)
_UNDECIDED = ("ambiguous", "unresolved")
@dataclass(frozen=True)
class Decision:
"""What to store for one file (see the design's "The ladder").
``kind``: one of ``KINDS``. ``text``: the storage text of the positive.
``canonical``: the parsed metadata stored with the link. ``resolution``:
the resolution that decided a ``pair``, else the default profile's
result. ``source``: which step named the text (log lines and the scan's
outcome detail). ``review``: ``ambiguous`` or ``untraced`` when the
default profile was ambiguous (the scan's Needs review lists).
``try_recorded_run``: the scan tries the recorded run's stored prompt
when nothing else links. ``unlinked_status``: the scan status when
nothing links (None: no prompt metadata).
"""
kind: str
text: Optional[str] = None
canonical: dict = field(default_factory=dict)
resolution: Optional[dict] = None
source: str = "none"
review: Optional[str] = None
try_recorded_run: bool = False
unlinked_status: Optional[str] = None
@dataclass(frozen=True)
class _File:
"""The ladder's inputs beside the metadata."""
metadata: Mapping
canonical: dict
resolution: dict
review: Optional[str]
file_name: Optional[str]
in_output: bool
lookup: Optional[Callable[[], Any]]
policy: Policy
def decide_file_prompt(
metadata: Any,
*,
file_name: Optional[str],
file_size: Union[None, int, Callable[[], Optional[int]]],
in_output: bool,
lookup: Optional[Callable[[], Any]],
policy: Policy,
) -> Decision:
"""The ladder for one file's raw ``metadata``.
``prompt``/``workflow`` may be JSON strings (the scan) or parsed values
(the monitor). ``lookup`` returns the file's ``RecordedOutput`` or None;
it is None when history must not be asked yet. It is called at most
once, and only for a graph the default profile leaves undecided.
``file_size`` may be a callable: it is read only for a file with prompt
metadata whose ``file_info`` has no size.
"""
if not metadata:
return Decision(NEVER, try_recorded_run=True)
canonical = _parsed(metadata)
if metadata_opted_out(canonical):
# Save to library was off for the run's prompt: nothing is stored,
# no recorded-run fallback, no Needs review item (#90)
return Decision(NOT_SAVED, canonical=canonical)
if metadata_opted_out(canonical, unreadable=True):
# The switch is wired from a node the file cannot show: only the
# live run (the node saw the value) can link it
return Decision(NOT_SAVED_WIRED, canonical=canonical)
switched = _switched_off_upstream(canonical.get("prompt"))
if switched is not None:
# The #90 walk follows only prompt-like inputs; any input name
# upstream of a positive can carry a switched-off node's text
return Decision(switched, canonical=canonical)
if not canonical.get("prompt") and not canonical.get("parameters"):
return Decision(NEVER, canonical=canonical, try_recorded_run=True)
_with_size(canonical, file_size)
resolution = resolve_prompt_pair(canonical)
switched = (
_side_switch(canonical.get("prompt"), resolution["positive"])
if resolution["state"] == "resolved"
else None
)
if switched is not None:
# The positive passes a node that is off, though the #90 graph walk
# did not reach it (steps 5 and 7)
return Decision(switched, canonical=canonical)
if resolution["state"] == "resolved" and side_opted_out(
canonical.get("prompt"), resolution["negative"]
):
# Only the negative's node is off: the positive alone, never a pair
positive = resolution["positive"]
text = positive.get("storage_text", positive["text"]).strip()
return _gated(
Decision(
POSITIVE,
text=text,
canonical=canonical,
resolution=resolution,
source="opted-out-negative",
),
None,
)
if blank_positive(resolution):
# Only prepend/append text: no stored prompt can own it (#342)
resolution = {**resolution, "state": "unresolved"}
found = _File(
metadata,
canonical,
resolution,
_review(resolution),
file_name,
in_output,
lookup,
policy,
)
return _gated(_decide(found), found)
def _decide(found: _File) -> Decision:
state = found.resolution["state"]
graph = found.canonical.get("prompt")
if state == "resolved":
positive = found.resolution["positive"]
text = positive.get("storage_text", positive["text"])
return _decision(found, PAIR, text, "resolver")
if graph and state in _UNDECIDED:
return _undecided_graph(found)
if state == "ambiguous":
return _never(found, _unlinked(found))
if state == "unresolved" and not isinstance(found.canonical.get("parameters"), str):
return _never(found, "unresolved")
if graph:
return _sampler_less(found, graph)
text = _a1111_positive(found.metadata)
if text is None:
return _never(found, "found")
return _decision(found, POSITIVE, text, "a1111")
def _undecided_graph(found: _File) -> Decision:
recorded = found.lookup() if found.lookup is not None else None
saver = recorded.saver_id if recorded is not None else None
inspected = inspection_resolution(
found.metadata, found.file_name, saver, name_anchor=False
)
text = _inspected_text(inspected.resolution)
switched = (
_side_switch(found.canonical["prompt"], inspected.resolution["positive"])
if text is not None
else None
)
if switched is not None:
# The inspector follows pass-throughs the #90 graph walk does not
return Decision(switched, canonical=found.canonical)
if text is not None:
source = "recorded-run" if inspected.by_record else "inspector"
return _decision(found, POSITIVE, text, source)
if found.policy is Policy.MONITOR:
if found.lookup is None and found.in_output:
return _decision(found, HISTORY, None, "none")
if not inspected.malformed and inspected.resolution["state"] == "ambiguous":
return _never(found, _unlinked(found))
text = graph_prompt_text(found.metadata)
switched = _off_text(found.canonical["prompt"], text) if text else None
if switched is not None:
# The legacy answer is a switched-off node's own text (#90)
return Decision(switched, canonical=found.canonical)
if text is not None and _joined_text(found.canonical["prompt"], text):
# The legacy parser joins prepend + text + append: the text a
# PromptManager node stores cannot be told from it (#343).
return _never(found, _unlinked(found), try_recorded_run=True)
if text is not None:
return _decision(found, POSITIVE, text, "legacy-parser")
return _never(found, _unlinked(found), try_recorded_run=True)
def _sampler_less(found: _File, graph: Any) -> Decision:
# No node takes a positive or negative input (a guider or wrapper graph):
# the one wired text, never a guess (#252).
wired = sampler_less_prompt(graph)
if wired["text"] is not None:
return _decision(found, POSITIVE, wired["text"], "sampler-less")
if isinstance(found.canonical.get("parameters"), str):
# A metadata saver also wrote A1111 text: its positive prompt.
text = _a1111_positive(found.metadata)
if text is not None:
return _decision(found, POSITIVE, text, "a1111")
status = "unresolved" if wired["state"] == "ambiguous" else "found"
return _never(found, status, try_recorded_run=True)
_UNDECIDED_SOURCES = ("inspector", "recorded-run", "legacy-parser")
def _switch_kind(settings: Any) -> Optional[str]:
"""``not_saved`` when a setting is off, ``not_saved_wired`` when one is
unknowable (wired from a node the graph cannot read), else None."""
settings = list(settings)
if False in settings:
return NOT_SAVED
if None in settings:
return NOT_SAVED_WIRED
return None
def _prompt_manager_ids(graph: Any) -> list:
if not isinstance(graph, dict):
return []
return [
str(node_id)
for node_id, node in graph.items()
if isinstance(node, dict) and node.get("class_type") in PROMPT_MANAGER_TYPES
]
def _side_switch(graph: Any, side: Any) -> Optional[str]:
"""The switch outcome of the PromptManager nodes on a side's path."""
if not isinstance(graph, dict) or not side_opted_out(graph, side):
return None
provenance = side.get("provenance")
path = provenance.get("path") if isinstance(provenance, dict) else None
path = path if isinstance(path, list) else []
nodes = {str(step.get("node_id")) for step in path if isinstance(step, dict)} & set(
_prompt_manager_ids(graph)
)
return _switch_kind(save_setting(graph, node_id) for node_id in nodes)
# Inputs that never carry prompt text or positive conditioning.
_NOT_TEXT_INPUTS = frozenset(
{
"model",
"clip",
"vae",
"latent_image",
"samples",
"pixels",
"image",
"images",
"mask",
"noise",
"sigmas",
"sampler",
"control_net",
"upscale_model",
}
)
_MAX_SWITCH_VISITS = 5000
def _negative_name(key: Any) -> bool:
"""#90's negative rule, plus any name containing "negative"
(``negative2``, ``NegativePrompt``)."""
return is_negative_input(key) or "negative" in str(key).lower()
def _switched_off_upstream(graph: Any) -> Optional[str]:
"""The switch outcome of every PromptManager node upstream of a positive.
Follows every input except negative and non-text ones (#90's walk follows
only prompt-like names). A graph without a recognisable sampler checks
every PromptManager node, as #90 does.
"""
if not isinstance(graph, dict):
return None
roots = _positive_roots(graph)
if not roots:
ids = _prompt_manager_ids(graph)
return _switch_kind(save_setting(graph, node_id) for node_id in ids)
seen, found = set(), set()
stack = [str(link[0]) for link in roots]
while stack and len(seen) < _MAX_SWITCH_VISITS:
node_id = stack.pop()
if node_id in seen:
continue
seen.add(node_id)
node = graph.get(node_id)
if not isinstance(node, dict):
continue
if node.get("class_type") in PROMPT_MANAGER_TYPES:
found.add(node_id)
inputs = node.get("inputs")
for key, value in (inputs.items() if isinstance(inputs, dict) else ()):
if key in _NOT_TEXT_INPUTS or _negative_name(key):
continue
if isinstance(value, (list, tuple)) and len(value) == 2:
if isinstance(value[0], (str, int)) and isinstance(value[1], int):
stack.append(str(value[0]))
return _switch_kind(save_setting(graph, node_id) for node_id in found)
def _off_text(graph: Any, text: str) -> Optional[str]:
"""The switch outcome when ``text`` is the text (resolved, else literal)
of a PromptManager-family node whose Save to library is not on."""
wanted = text.strip()
matched = []
for node_id in _prompt_manager_ids(graph):
node_text = resolve_text(graph, node_id)
if node_text is None:
inputs = graph[node_id].get("inputs")
literal = inputs.get("text") if isinstance(inputs, dict) else None
node_text = literal if isinstance(literal, str) else None
if node_text is not None and node_text.strip() == wanted:
matched.append(save_setting(graph, node_id))
return _switch_kind(matched)
def _joined_text(graph: Any, text: str) -> bool:
"""Whether ``text`` may hold a PromptManager node's prepend or append.
True when a PromptManager-family node has a prepend or append part and
``text`` is not the literal ``text`` of one such node (the legacy
parser's answer when it does not follow a linked part).
"""
own = _prompt_manager_parts(graph)
return own is not None and text.strip() not in own
def _prompt_manager_parts(graph: Any) -> Optional[set]:
"""The literal texts of PromptManager-family nodes with a prepend or
append part, or None when no such node exists."""
if not isinstance(graph, dict):
return None
found = None
for node in graph.values():
if not isinstance(node, dict):
continue
name, inputs = node.get("class_type"), node.get("inputs")
if not isinstance(name, str) or "promptmanager" not in name.lower():
continue
if not isinstance(inputs, dict) or not _has_part(inputs):
continue
found = found if found is not None else set()
if isinstance(inputs.get("text"), str):
found.add(inputs["text"].strip())
return found
def _has_part(inputs: dict) -> bool:
for key in ("prepend_text", "append_text"):
part = inputs.get(key)
if part is not None and not (isinstance(part, str) and not part.strip()):
return True
return False
def _gated(decision: Decision, found: Optional[_File]) -> Decision:
"""Junk text is never stored (step 13).
A junk answer of the undecided-graph step keeps that step's unlinked
status, so an ambiguous file is still a Needs review case; any other
step reports ``found``.
"""
if decision.kind not in (PAIR, POSITIVE):
return decision
junk = junk_text(decision.text)
if junk is None:
return decision
return Decision(
NEVER,
canonical=decision.canonical,
resolution=decision.resolution,
source=f"junk:{junk}",
review=decision.review,
try_recorded_run=True,
unlinked_status=(
_unlinked(found)
if found is not None and decision.source in _UNDECIDED_SOURCES
else "found"
),
)
def _decision(found: _File, kind: str, text: Optional[str], source: str) -> Decision:
return Decision(
kind,
text=text,
canonical=found.canonical,
resolution=found.resolution,
source=source,
review=found.review,
)
def _never(found: _File, status: str, *, try_recorded_run: bool = False) -> Decision:
return Decision(
NEVER,
canonical=found.canonical,
resolution=found.resolution,
review=found.review,
try_recorded_run=try_recorded_run,
unlinked_status=status,
)
def _review(resolution: dict) -> Optional[str]:
if resolution["state"] != "ambiguous":
return None
return "ambiguous" if reviewable(resolution) else "untraced"
def _unlinked(found: _File) -> str:
"""Ambiguous without a choice is reported unresolved."""
if found.review == "untraced":
return "unresolved"
return found.resolution["state"]
def _inspected_text(resolution: dict) -> Optional[str]:
"""The storage text of a positive the inspector shows, else None."""
if resolution.get("state") in _UNDECIDED:
return None
positive = resolution.get("positive")
if not isinstance(positive, dict):
return None
text = positive.get("storage_text", positive.get("text"))
return text if isinstance(text, str) and text.strip() else None
def _parsed(metadata: Mapping) -> dict:
canonical = dict(metadata)
for key in ("prompt", "workflow"):
if isinstance(canonical.get(key), str):
try:
canonical[key] = json.loads(canonical[key])
except (ValueError, TypeError):
# Preserve malformed metadata for conservative resolver rejection.
pass
return canonical
def _with_size(canonical: dict, file_size: Any) -> None:
"""Record the file's size in ``file_info`` unless the metadata carries one.
Stored as ``generated_images.file_size``; the "new" scan scope skips a
known file only while its size is unchanged.
"""
info = canonical.get("file_info")
info = dict(info) if isinstance(info, dict) else {}
if info.get("size") is None:
size = file_size() if callable(file_size) else file_size
if size is not None:
info["size"] = size
if info:
canonical["file_info"] = info
def _a1111_positive(metadata: Mapping) -> Optional[str]:
text = parse_comfyui_prompt(metadata)["positive_prompt"]
return text.strip() if text and text.strip() else None
_LORA_TAG = re.compile(r"<lora:[^>]*>")
_LORA_SEPARATORS = " \t\r\n\f\v,;|"
_MODEL_FILE = re.compile(r"\S*\.(?:safetensors|ckpt|pt|pth|bin|gguf|sft)", re.I)
def junk_text(text: Any) -> Optional[str]:
"""The #252 junk class of ``text``, or None when it may be a prompt."""
stripped = text.strip() if isinstance(text, str) else ""
if not stripped:
return "blank"
if _numeric(stripped):
return "number"
if not _LORA_TAG.sub("", stripped).strip(_LORA_SEPARATORS):
return "lora-only"
if _MODEL_FILE.fullmatch(stripped):
return "model-file"
return None
def graph_prompt_text(metadata: Mapping) -> Optional[str]:
"""The positive prompt the browser parser traces from the graphs, or None.
Records parse as the legacy pages parsed them (NaN reads as null).
"""
records = {}
for key in ("prompt", "workflow"):
value = metadata.get(key)
records[key] = parse_page_json(value) if isinstance(value, str) else value
try:
positive = extract_generation_params(records)["positivePrompt"]
except GenerationParamsError:
return None
if not isinstance(positive, str) or positive == PLACEHOLDERS["positivePrompt"]:
return None
return positive.strip() or None
_COMMON_FIELDS = (
"positive",
"negative",
"steps",
"cfg",
"sampler",
"scheduler",
"seed",
)
def _json_or_raw(value: Any) -> Any:
if not isinstance(value, str):
return value
try:
return json.loads(value)
except json.JSONDecodeError:
return value
def parse_comfyui_prompt(metadata: Mapping) -> dict:
"""Parse ComfyUI and A1111 prompt data from metadata.
Accepts the file's strings or parsed values: a parsed ``prompt`` or
``workflow`` is kept as it is and a non-string ``parameters`` is ignored.
"""
result = {
"prompt": None,
"workflow": None,
"parameters": {},
"positive_prompt": None,
"negative_prompt": None,
}
params = metadata.get("parameters")
if isinstance(params, str):
_parse_a1111(params, result)
if result["positive_prompt"] is None:
for key in ("prompt", "workflow"):
if key in metadata:
result[key] = _json_or_raw(metadata[key])
for name in _COMMON_FIELDS:
if name in metadata:
result["parameters"][name] = _json_or_raw(metadata[name])
return result
_SETTINGS_FIELDS = ("Steps", "Sampler", "Schedule type", "CFG scale", "Seed")
def _parse_a1111(params: str, result: dict) -> None:
"""A1111/Forge ``parameters``: a possibly multi-line positive, then a
"Negative prompt:" section, then a trailing "Steps: ..." settings line.
Taking the first line as the positive would truncate a multi-line prompt,
so the text is split on the settings line instead.
"""
body = params
settings = ""
found = re.search(r"\nSteps:\s", body)
if found:
settings = body[found.start() + 1 :].strip()
body = body[: found.start()]
negative = None
found = re.search(r"(?im)^\s*negative prompt:\s*", body)
if found:
negative = body[found.end() :].strip()
body = body[: found.start()]
elif body.lower().lstrip().startswith("negative prompt:"):
negative = body.lower().lstrip()[len("negative prompt:") :].strip()
body = ""
result["positive_prompt"] = body.strip() or None
if negative:
result["negative_prompt"] = negative
result["parameters"]["parameters"] = params
for name in _SETTINGS_FIELDS if settings else ():
found = re.search(
r"(?i)(?:^|,\s*)" + re.escape(name) + r":\s*([^,]+)", settings
)
if found:
key = name.lower().replace(" ", "_")
result["parameters"][key] = found.group(1).strip()
+6 -1
View File
@@ -41,9 +41,14 @@ _TEXT_KEY = re.compile(r"^(text|string|prompt)(_?[a-z0-9]+)?$", re.IGNORECASE)
_NEGATIVE_KEY = re.compile(r"(^|_)neg(ative)?($|_)", re.IGNORECASE)
def is_negative_input(key: Any) -> bool:
"""Whether an input name carries a negative prompt (#90's one rule)."""
return isinstance(key, str) and bool(_NEGATIVE_KEY.search(key))
def follows_input(key: Any) -> bool:
"""Whether an input name carries positive conditioning or prompt text."""
if not isinstance(key, str) or _NEGATIVE_KEY.search(key):
if not isinstance(key, str) or is_negative_input(key):
return False
return key == "positive" or bool(
_CONDITIONING_KEY.match(key) or _TEXT_KEY.match(key)
+132 -65
View File
@@ -1,4 +1,10 @@
"""Read prompt evidence without inference, indexing, or decoding image pixels."""
"""Read prompt evidence without inference, indexing, or decoding image pixels.
``inspection_resolution`` is the inspector's resolve (inspection profile, then
the recorded saver anchor, #386). Ingestion (the output scan, through
``utils.file_prompt``) calls it too, only for files the default profile
cannot decide (#247), so the inspector and ingestion cannot drift.
"""
import hashlib
import io
@@ -571,6 +577,102 @@ def _recorded_execution(resolved: dict, texts: Mapping) -> dict | None:
return {"prompts": prompts, "resolution": resolution}
_ABSENT_RESOLUTION = {
"state": "absent",
"sampler_id": None,
"reason": "No parsed prompt metadata",
"reason_code": None,
"node": None,
}
_MALFORMED_RESOLUTION = {
"state": "unresolved",
"sampler_id": None,
"reason": MALFORMED_EVIDENCE_REASON,
"reason_code": "malformed",
"node": None,
}
@dataclass(frozen=True)
class InspectionResult:
"""The inspector's resolution of one file's metadata (#386, #247).
``resolution`` is the result to use. ``anchored`` is the result anchored
on the recorded saver, kept or not (None when no anchored resolve ran).
``by_record`` says the anchored result was kept: history's saver chose
the samplers and the result names the positive. ``malformed`` marks
metadata the inspector cannot read as a graph.
"""
resolution: dict
anchored: dict | None = None
by_record: bool = False
malformed: bool = False
def inspection_resolution(
metadata: Mapping,
file_name: str | None,
recorded_saver_id: str | None,
*,
profile: ResolverProfile = INSPECTION_PROFILE,
name_anchor: bool = True,
) -> InspectionResult:
"""Resolve raw file metadata as the inspector does.
Keeps only the role records, parses a string ``prompt`` and attaches the
parsed ``workflow`` only when the graph may hold a PromptManager node.
Resolves with ``profile``; when that leaves the prompt open and
``recorded_saver_id`` is given, resolves again anchored on that saver
and keeps the anchored result only when it names the positive.
``name_anchor=False`` (ingestion, #247) resolves the unanchored pass
without ``file_name``, so the saver its file name names anchors nothing:
such a file goes to Needs review, never linked (#390 ruling). The
recorded-saver pass still gets ``file_name``, only to refuse a saver the
name contradicts.
"""
workflow = metadata.get("workflow")
canonical = {
key: value for key, value in metadata.items() if key in _ROLE_METADATA_KEYS
}
if not canonical:
return InspectionResult(dict(_ABSENT_RESOLUTION))
malformed = InspectionResult(dict(_MALFORMED_RESOLUTION), malformed=True)
if "prompt" not in canonical and "parameters" not in canonical:
return malformed
if isinstance(canonical.get("prompt"), str):
try:
canonical["prompt"] = json.loads(canonical["prompt"])
except (ValueError, RecursionError):
return malformed
workflow = (
_parsed_workflow(workflow) if _may_hold_prompt_manager(canonical) else None
)
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, file_name=file_name if name_anchor else None
)
if resolved["state"] not in _UNDECIDED or recorded_saver_id is None:
return InspectionResult(resolved)
anchored = resolve_prompt_pair(
canonical,
profile=profile,
file_name=file_name,
recorded_saver_id=recorded_saver_id,
)
# Only a result whose samplers history's saver chose is about this file.
if (
anchored.get("recorded_anchor") is True
and anchored["state"] not in _UNDECIDED
and isinstance(anchored["positive"], dict)
):
return InspectionResult(anchored, anchored, True)
return InspectionResult(resolved, anchored)
def inspect_prompt_evidence(
metadata: dict,
saved: dict | None = None,
@@ -593,22 +695,13 @@ def inspect_prompt_evidence(
``execution``.
Inspection routes resolve with ``INSPECTION_PROFILE``: bounded work, not
graph size. Ingestion (scan, live monitor, admin import) calls the resolver
directly with its default profile. ``resolution`` carries the closed
``reason_code`` and, for a blocking node, ``node: {id, class_type}``.
graph size. The resolve itself is ``inspection_resolution``, which
ingestion also calls for files its default profile cannot decide (#247).
``resolution`` carries the closed ``reason_code`` and, for a blocking
node, ``node: {id, class_type}``.
"""
workflow = metadata.get("workflow")
metadata = {
key: value for key, value in metadata.items() if key in _ROLE_METADATA_KEYS
}
resolution = {
"state": "unresolved",
"sampler_id": None,
"reason": MALFORMED_EVIDENCE_REASON,
"reason_code": "malformed",
"node": None,
}
if not metadata:
roles = {key for key in metadata if key in _ROLE_METADATA_KEYS}
if not roles:
result = {role: _side("absent") for role in ("positive", "negative")}
if saved:
context = saved.get("pair_context")
@@ -621,56 +714,30 @@ def inspect_prompt_evidence(
"verified against this file."
),
}
return {
"prompts": result,
"resolution": {
"state": "absent",
"sampler_id": None,
"reason": "No parsed prompt metadata",
"reason_code": None,
"node": None,
},
}
canonical = dict(metadata)
malformed = {
"prompts": _explained(
{role: _side("unresolved") for role in ("positive", "negative")},
resolution,
),
"resolution": resolution,
}
if "prompt" not in canonical and "parameters" not in canonical:
return malformed
if isinstance(canonical.get("prompt"), str):
try:
canonical["prompt"] = json.loads(canonical["prompt"])
except (ValueError, RecursionError):
return malformed
workflow = (
_parsed_workflow(workflow) if _may_hold_prompt_manager(canonical) else None
return {"prompts": result, "resolution": dict(_ABSENT_RESOLUTION)}
inspected = inspection_resolution(
metadata, file_name, recorded_saver_id, profile=profile
)
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, file_name=file_name)
recorded = False
if resolved["state"] in _UNDECIDED and recorded_saver_id is not None:
anchored = resolve_prompt_pair(
canonical,
profile=profile,
file_name=file_name,
recorded_saver_id=recorded_saver_id,
)
# Only a result whose samplers history's saver chose is about this file.
if anchored.get("recorded_anchor") is True:
if anchored["state"] not in _UNDECIDED and isinstance(
anchored["positive"], dict
):
resolved, recorded = anchored, True
elif recorded_texts:
executed = _recorded_execution(anchored, recorded_texts)
if executed is not None:
return executed
if inspected.malformed:
resolution = inspected.resolution
return {
"prompts": _explained(
{role: _side("unresolved") for role in ("positive", "negative")},
resolution,
),
"resolution": resolution,
}
resolved, recorded = inspected.resolution, inspected.by_record
anchored = inspected.anchored
if (
not recorded
and recorded_texts
and anchored is not None
and anchored.get("recorded_anchor") is True
):
executed = _recorded_execution(anchored, recorded_texts)
if executed is not None:
return executed
state = resolved["state"]
result = {}
for role in ("positive", "negative"):