Compare commits
4
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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94513a9fd1 | ||
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fcdd339763 | ||
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f747754b2f | ||
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e667444c11 |
+9
-2
@@ -3587,7 +3587,8 @@ npm run --prefix tools/vendor test:workflows -- workspace-system-integrations.sp
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System › Auto-tagging (`web/js/workspace/system-tagging.mjs`, D132–D134) edits one
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server-side tagging configuration, `autotag.defaults` in config.json: `model_type`
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(`wd14-swinv2`, `wd14-vit`, `gguf`, `hf`), `existing` (`skip`, `merge`,
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`replace_after_review`), `general_threshold` and `character_threshold` (0–1),
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`replace_after_review`), `general_threshold` and `character_threshold` (0–1 in
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steps of 0.05, #369),
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`template` (non-blank, at most 4,000 characters and 16 KiB) and `suggestion_limit`
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(1–100). They are host drafts (`autotag_model_type`, `autotag_existing`,
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`autotag_general_threshold`, `autotag_character_threshold`, `autotag_template`,
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@@ -3598,7 +3599,13 @@ naming the setting by its row label ("General-tag confidence must be between 0 a
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`settingRefusal` in system.mjs only for a save that carried `autotag_*` keys; every
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other section's plain 400 keeps the generic status) and the control is highlighted.
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The template's limit counts code points, as Python's `len` does. A hand-edited bad value
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falls back to its default on load, one key at a time. `GET /autotag/models` reports the
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falls back to its default on load, one key at a time. Every page shows the thresholds in
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steps of 0.05 (the System rows, the Tag image dialogs, the legacy sliders), so a saved
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threshold off that grid is refused ("General-tag confidence must be a multiple of
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0.05.", `validate_saved_threshold`; `draftProblem` holds back Preview tagging review and
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the batch Review with the same sentence) and falls back on load; an accepted one is
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stored exactly on the grid (#369). A per-request threshold keeps its own check: `/image-annotations/suggest` and
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`/jobs/autotag` take 0–1; the legacy `/autotag/single` and `/autotag/start` only require a number. `GET /autotag/models` reports the
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saved values (`wd14_general_threshold`, `wd14_character_threshold`, `suggestion_limit`,
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`default_prompt`, `model_type`, `existing`), so the Tag image and Auto-tag selected
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dialogs start from them; a preset (the bulk review, Preview tagging review) wins.
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@@ -173,8 +173,8 @@ def _validate_autotag_settings(data):
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EXISTING_POLICIES,
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MAX_SUGGESTION_LIMIT,
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MODEL_TYPES,
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validate_saved_threshold,
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validate_template,
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validate_threshold,
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)
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updates = {}
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@@ -198,7 +198,7 @@ def _validate_autotag_settings(data):
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):
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if key in data:
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try:
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value = validate_threshold(label, data[key])
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value = validate_saved_threshold(label, data[key])
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except ValueError as error:
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raise ValueError(f"{error}.") from None
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updates[key.upper()] = value
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+4
-2
@@ -573,6 +573,7 @@ try:
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MAX_INSTRUCTION_CHARS,
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MODEL_TYPES,
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WD14_MODEL_TYPES,
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validate_saved_threshold,
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validate_template,
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validate_threshold,
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)
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@@ -585,6 +586,7 @@ except ImportError:
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MAX_INSTRUCTION_CHARS,
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MODEL_TYPES,
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WD14_MODEL_TYPES,
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validate_saved_threshold,
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validate_template,
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validate_threshold,
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)
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@@ -631,12 +633,12 @@ class AutotagConfig:
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"existing": ("EXISTING", _valid_existing, "skip"),
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"general_threshold": (
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"GENERAL_THRESHOLD",
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lambda v: validate_threshold("value", v),
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lambda v: validate_saved_threshold("value", v),
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0.35,
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),
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"character_threshold": (
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"CHARACTER_THRESHOLD",
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lambda v: validate_threshold("value", v),
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lambda v: validate_saved_threshold("value", v),
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0.85,
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),
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"template": ("TEMPLATE", validate_template, DEFAULT_TAG_TEMPLATE),
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@@ -39,6 +39,25 @@ def validate_threshold(name: str, value: Any) -> float:
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return float(value)
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# Every page shows the thresholds in steps of 0.05 (the concept's System rows,
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# the Tag image dialogs and the legacy sliders), so a saved one must be on that
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# grid (#369). Per-request thresholds keep their own checks.
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THRESHOLD_STEP = 0.05
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_STEPS_PER_UNIT = round(1 / THRESHOLD_STEP)
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# A computed float can miss the grid by a hair: (0.1 + 0.2) * 20 is 6.000000000000001.
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_STEP_TOLERANCE = 1e-12 # in steps; refuses 0.35000000001
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def validate_saved_threshold(name: str, value: Any) -> float:
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"""A saved WD14 threshold: in [0, 1] and a multiple of ``THRESHOLD_STEP``,
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returned exactly on the grid; else ValueError naming ``name``."""
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value = validate_threshold(name, value)
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steps = value * _STEPS_PER_UNIT
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if abs(steps - round(steps)) > _STEP_TOLERANCE:
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raise ValueError(f"{name} must be a multiple of {THRESHOLD_STEP}")
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return round(steps) / _STEPS_PER_UNIT
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def validate_template(value: Any, name: str = "instructions") -> str:
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"""Non-empty language-model instructions within the character and byte
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caps, or ValueError naming ``name``."""
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@@ -188,6 +188,35 @@ test('a refused value shows the server\'s message', async ({ page, request }) =>
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await expect(actionOf(page, 'Preview tagging review')).not.toHaveAttribute('aria-disabled', 'true');
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});
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test('a value off the 0.05 step is refused and never reaches the Tag image dialog (#369)', async ({ page, request }) => {
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const before = (await serverJson(request, SETTINGS_URL)).settings;
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const STEP = 'General-tag confidence must be a multiple of 0.05.';
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await selectThenOpen(page, FIRST);
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await page.locator('#threshold-general').fill('0.37');
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await page.locator('#threshold-general').press('Tab');
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// Preview tagging review explains instead of opening a dialog whose Generate the browser would block.
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await expect(actionOf(page, 'Preview tagging review')).toHaveAttribute('aria-disabled', 'true');
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await actionOf(page, 'Preview tagging review').focus();
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await page.keyboard.press('Enter');
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await expect(toast(page)).toHaveText(STEP);
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await expect(tagDialog(page)).toHaveCount(0);
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// The server refuses the save with the same sentence and writes nothing.
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await save(page).click();
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await expect(status(page)).toHaveText(STEP);
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expect((await serverJson(request, SETTINGS_URL)).settings.autotag_general_threshold).toBe(before.autotag_general_threshold);
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// A value on the step opens the dialog, and its Generate passes the browser's own check and sends.
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await page.locator('#threshold-general').fill('0.4');
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await page.locator('#threshold-general').press('Tab');
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await expect(actionOf(page, 'Preview tagging review')).not.toHaveAttribute('aria-disabled', 'true');
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await actionOf(page, 'Preview tagging review').click();
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await expect(tagDialog(page).locator('#image-general-threshold')).toHaveValue('0.4');
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expect(await tagDialog(page).locator('#image-general-threshold').evaluate(input => input.checkValidity())).toBe(true);
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const suggested = page.waitForResponse(item => item.url().endsWith('/image-annotations/suggest'));
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await tagDialog(page).getByRole('button', { name: 'Generate suggestions', exact: true }).click();
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const answer = await suggested;
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expect(answer.request().postDataJSON().options.general_threshold).toBe(0.4);
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});
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test('Download starts the job and Activity shows it without Cancel', async ({ page, request }) => {
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await unavailable(request, ['wd14-vit']);
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await fakeDownload(request, 'hold');
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@@ -307,6 +307,16 @@ test('Preview tagging review opens the Tag image dialog with the section’s val
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assert.deepEqual(draftProblem({ ...HOST, autotag_general_threshold: 1.5 }),
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{ key: 'autotag_general_threshold', message: 'General-tag confidence must be between 0 and 1.' });
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assert.equal(draftProblem({ ...HOST, autotag_character_threshold: '' }).key, 'autotag_character_threshold');
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// #369: every page shows the thresholds in steps of 0.05, so a value off that grid cannot be saved or previewed.
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assert.deepEqual(draftProblem({ ...HOST, autotag_general_threshold: 0.37 }),
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{ key: 'autotag_general_threshold', message: 'General-tag confidence must be a multiple of 0.05.' });
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assert.deepEqual(draftProblem({ ...HOST, autotag_character_threshold: 0.33 }),
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{ key: 'autotag_character_threshold', message: 'Character-tag confidence must be a multiple of 0.05.' });
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assert.equal(draftProblem({ ...HOST, autotag_general_threshold: 0.15, autotag_character_threshold: 0.95 }), null);
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assert.equal(draftProblem({ ...HOST, autotag_general_threshold: 0, autotag_character_threshold: 1 }), null);
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// A computed value a hair off the grid passes and is handed on snapped to it, as the server stores it.
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assert.equal(draftProblem({ ...HOST, autotag_general_threshold: 0.1 + 0.2 }), null);
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assert.equal(taggingPreset({ ...HOST, autotag_general_threshold: 0.1 + 0.2 }).options.general_threshold, 0.3);
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assert.equal(draftProblem({ ...HOST, autotag_suggestion_limit: 2.5 }).key, 'autotag_suggestion_limit');
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assert.equal(draftProblem({ ...HOST, autotag_suggestion_limit: 0 }, { limit: false }), null);
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assert.deepEqual(draftProblem({ ...HOST, autotag_model_type: 'hf', autotag_template: ' ' }),
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@@ -342,6 +352,11 @@ test('Preview tagging review opens the Tag image dialog with the section’s val
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await button('Preview tagging review').dispatch('click');
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assert.deepEqual(calls.toasts, ['General-tag confidence must be between 0 and 1.']);
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assert.equal(calls.opened.length, 1);
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byId('threshold-general').value = '0.37'; await byId('threshold-general').dispatch('change');
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assert.equal(button('Preview tagging review').getAttribute('aria-disabled'), 'true');
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await button('Preview tagging review').dispatch('click');
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assert.deepEqual(calls.toasts.at(-1), 'General-tag confidence must be a multiple of 0.05.');
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assert.equal(calls.opened.length, 1);
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} finally { scope.dispose(); dom.restore(); }
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});
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@@ -361,6 +376,8 @@ test('the batch review grid, body and Cancel-only reasons (D134, CUJ 4–5)', as
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assert.equal(existingLabel('odd'), 'odd');
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assert.deepEqual(batchBody(HOST), { model_type: 'wd14-swinv2', existing: 'skip',
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options: { general_threshold: 0.35, character_threshold: 0.85 } });
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// #369: a threshold a hair off the grid is sent snapped to it.
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assert.equal(batchBody({ ...HOST, autotag_character_threshold: 0.1 + 0.2 }).options.character_threshold, 0.3);
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assert.deepEqual(batchBody(llm), { model_type: 'gguf', existing: 'skip', options: { instructions: HOST.autotag_template } });
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assert.equal(batchCloseNote(PLAN), null);
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assert.equal(batchCloseNote({ ...PLAN, review_required: true }), REPLACE_NOTE);
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+24
-2
@@ -516,8 +516,9 @@ class TestAutotagConfig(unittest.TestCase):
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bad_values = {
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"model_type": ["wd14-convnext", 3, None],
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"existing": ["replace", "", True],
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"general_threshold": [1.5, -0.1, float("nan"), "0.4", True],
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"character_threshold": [2, float("inf"), None],
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# #369: a saved threshold off the 0.05 step no page can show.
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"general_threshold": [1.5, -0.1, float("nan"), "0.4", True, 0.37],
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"character_threshold": [2, float("inf"), None, 0.33],
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# 4000 characters are at most 16,000 UTF-8 bytes, so the 16 KiB
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# byte cap can only be met past the character cap.
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"template": ["", " ", "x" * 4001, "\U0001f600" * 4097, "\ud800", 7],
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@@ -567,6 +568,27 @@ class TestAutotagConfig(unittest.TestCase):
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config_module.MODEL_TYPES, {"gguf", "hf", "wd14-swinv2", "wd14-vit"}
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)
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def test_saved_threshold_is_a_multiple_of_the_step(self):
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"""#369: every page shows the thresholds in steps of 0.05, so a saved
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one must be on that grid; it is stored exactly on it."""
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from py.tagging_defaults import validate_saved_threshold as validate
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for value in (0, 0.05, 0.15, 0.35, 0.85, 1):
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with self.subTest(value=value):
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self.assertEqual(validate("x", value), value)
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self.assertEqual(validate("x", 0.1 + 0.2), 0.3)
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for value, message in (
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(0.37, "x must be a multiple of 0.05"),
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(0.351, "x must be a multiple of 0.05"),
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(0.35000000001, "x must be a multiple of 0.05"),
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(1.5, "x must be between 0 and 1"),
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("0.4", "x must be a finite number"),
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):
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with self.subTest(value=value):
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with self.assertRaises(ValueError) as caught:
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validate("x", value)
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self.assertEqual(str(caught.exception), message)
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def test_suggestion_limit_setting_validated_on_load(self):
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for value in (0, 101, "10", float("nan"), 2.5, True, None, [10]):
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with self.subTest(value=value):
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@@ -1037,6 +1037,23 @@ class TestAutotagDefaultsSettings(SourcesTestCase):
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settings = (await self._get())["settings"]
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self.assertEqual({key: settings[key] for key in self.SAVED}, self.SAVED)
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async def test_threshold_near_the_grid_is_saved_on_it(self):
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"""#369: a computed value a hair off the 0.05 grid is stored on it, so
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every page's step check accepts what /settings and the file return."""
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revision = (await self._get())["revision"]
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status, data = await self._post(
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"/prompt_manager/settings",
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{"expected_revision": revision, "autotag_general_threshold": 0.1 + 0.2},
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)
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self.assertEqual(status, 200, data)
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self.assertEqual(
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repr(self._read_config()["autotag"]["defaults"]["general_threshold"]),
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"0.3",
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)
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self.assertEqual(
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repr((await self._get())["settings"]["autotag_general_threshold"]), "0.3"
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)
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async def test_stale_revision_changes_no_default(self):
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revision = (await self._get())["revision"]
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self._write_config({"custom": {"edited": "elsewhere"}})
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@@ -1055,6 +1072,16 @@ class TestAutotagDefaultsSettings(SourcesTestCase):
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1.5,
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"General-tag confidence must be between 0 and 1.",
|
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),
|
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(
|
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"autotag_general_threshold",
|
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0.37,
|
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"General-tag confidence must be a multiple of 0.05.",
|
||||
),
|
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(
|
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"autotag_character_threshold",
|
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0.33,
|
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"Character-tag confidence must be a multiple of 0.05.",
|
||||
),
|
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(
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"autotag_character_threshold",
|
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"0.8",
|
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|
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@@ -85,6 +85,9 @@ export const STATUS_COPY = Object.freeze({
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export const SETTING_PROBLEMS = Object.freeze({
|
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autotag_general_threshold: 'General-tag confidence must be between 0 and 1.',
|
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autotag_character_threshold: 'Character-tag confidence must be between 0 and 1.',
|
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// #369: every page shows the thresholds in steps of 0.05, so the server saves only values on that grid.
|
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autotag_general_threshold_step: 'General-tag confidence must be a multiple of 0.05.',
|
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autotag_character_threshold_step: 'Character-tag confidence must be a multiple of 0.05.',
|
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autotag_suggestion_limit: 'Suggestions per image must be a whole number from 1 to 100.',
|
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// The server's two template sentences (`validate_template`), blank first.
|
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autotag_template: 'LLM tag template must be non-empty text.',
|
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@@ -171,10 +174,15 @@ export function draftValue(key, text) {
|
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}
|
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|
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const unit = value => typeof value === 'number' && Number.isFinite(value) && value >= 0 && value <= 1;
|
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// A multiple of 0.05 within the server's tolerance (`validate_saved_threshold`): (0.1 + 0.2) * 20 is 6.000000000000001.
|
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const onStep = value => Math.abs(value * 20 - Math.round(value * 20)) <= 1e-12;
|
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// A threshold on the grid, handed on exactly as the server stores it (anything else is left for draftProblem to refuse).
|
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const snapped = value => (unit(value) && onStep(value) ? Math.round(value * 20) / 20 : value);
|
||||
|
||||
/**
|
||||
* The first setting the chosen model would use that the section cannot send, as `{key, message}`, else null: WD14
|
||||
* reads both thresholds, the language models the template; Generate also reads the suggestion count (`limit`).
|
||||
* reads both thresholds (0 to 1 in steps of 0.05, #369), the language models the template; Generate also reads the
|
||||
* suggestion count (`limit`).
|
||||
*/
|
||||
export function draftProblem(values, { limit = true } = {}) {
|
||||
const model = values.autotag_model_type;
|
||||
@@ -189,6 +197,7 @@ export function draftProblem(values, { limit = true } = {}) {
|
||||
}
|
||||
const valid = key === 'autotag_suggestion_limit' ? Number.isInteger(value) && value >= 1 && value <= 100 : unit(value);
|
||||
if (!valid) return { key, message: SETTING_PROBLEMS[key] };
|
||||
if (key !== 'autotag_suggestion_limit' && !onStep(value)) return { key, message: SETTING_PROBLEMS[`${key}_step`] };
|
||||
}
|
||||
return null;
|
||||
}
|
||||
@@ -197,7 +206,8 @@ export function draftProblem(values, { limit = true } = {}) {
|
||||
export function taggingPreset(values) {
|
||||
const model = values.autotag_model_type;
|
||||
const options = CLASSIFIERS.has(model)
|
||||
? { general_threshold: values.autotag_general_threshold, character_threshold: values.autotag_character_threshold }
|
||||
? { general_threshold: snapped(values.autotag_general_threshold),
|
||||
character_threshold: snapped(values.autotag_character_threshold) }
|
||||
: { instructions: values.autotag_template };
|
||||
return { model, options: { ...options, suggestion_limit: values.autotag_suggestion_limit } };
|
||||
}
|
||||
@@ -206,7 +216,8 @@ export function taggingPreset(values) {
|
||||
export function batchBody(values) {
|
||||
const model = values.autotag_model_type;
|
||||
const options = CLASSIFIERS.has(model)
|
||||
? { general_threshold: values.autotag_general_threshold, character_threshold: values.autotag_character_threshold }
|
||||
? { general_threshold: snapped(values.autotag_general_threshold),
|
||||
character_threshold: snapped(values.autotag_character_threshold) }
|
||||
: { instructions: values.autotag_template };
|
||||
return { model_type: model, existing: values.autotag_existing, options };
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user