ccr-platform / frontend /src /Workspace.jsx
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feat(scoring): anchor vectors (bipolar constructs) [spec 0006]
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import { useCallback, useEffect, useRef, useState } from "react";
import { api } from "./api.js";
import ConstructPicker from "./ConstructPicker.jsx";
import ResultsView from "./ResultsView.jsx";
export default function Workspace({ project, auth, onAuthRefresh, onProjectChanged, onProjectDeleted }) {
const [corpora, setCorpora] = useState([]);
const [constructs, setConstructs] = useState([]);
const [models, setModels] = useState([]);
const [jobs, setJobs] = useState([]);
const [corpusId, setCorpusId] = useState("");
const [textColumn, setTextColumn] = useState("");
const [constructIds, setConstructIds] = useState([]);
// Anchor-vector (bipolar) run (spec 0006): an optional opposite pole scored
// against a single target construct, plus the similarity metric.
const [anchorMode, setAnchorMode] = useState(false);
const [oppositeId, setOppositeId] = useState("");
const [metric, setMetric] = useState("cosine");
const [modelName, setModelName] = useState("");
const [languages, setLanguages] = useState(["en"]);
const [language, setLanguage] = useState("en");
const [uploading, setUploading] = useState(false);
const [running, setRunning] = useState(false);
const [error, setError] = useState("");
// Custom-construct form: null = closed, else the item source it opens on
// ("type" | "upload" | "ai"). Lifted here so the Step 2 card can expose the
// three acquisition paths as explicit buttons (PI feedback 2026-08-07).
const [constructFormTab, setConstructFormTab] = useState(null);
const [viewJobId, setViewJobId] = useState(null);
const [confirmDelete, setConfirmDelete] = useState(false);
const [deleteText, setDeleteText] = useState("");
const fileRef = useRef(null);
async function toggleArchive() {
try {
await api.patchProject(project.id, { archived: !project.archived });
onProjectChanged?.();
} catch (err) {
setError(err.message);
}
}
async function handleDelete() {
try {
await api.deleteProject(project.id);
setConfirmDelete(false);
onProjectDeleted?.();
} catch (err) {
setError(err.message);
}
}
const refreshJobs = useCallback(
() => api.listJobs(project.id).then(setJobs).catch(() => {}),
[project.id]
);
useEffect(() => {
api.listCorpora(project.id).then(setCorpora).catch((e) => setError(e.message));
api.listConstructs().then(setConstructs).catch((e) => setError(e.message));
api
.models()
.then((m) => {
setModels(m);
const def = m.find((x) => x.default) || m[0];
if (def) setModelName(def.id);
})
.catch((e) => setError(e.message));
api.languages().then(setLanguages).catch(() => {});
refreshJobs();
}, [project.id, refreshJobs]);
// Poll while any job is active.
const anyActive = jobs.some((j) => j.status === "queued" || j.status === "running");
useEffect(() => {
if (!anyActive) return undefined;
const t = setInterval(refreshJobs, 1200);
return () => clearInterval(t);
}, [anyActive, refreshJobs]);
const corpus = corpora.find((c) => c.id === corpusId) || null;
const selectedConstructs = constructIds
.map((id) => constructs.find((c) => c.id === id))
.filter(Boolean);
// Server-enforced too; mirrored here so the picker can explain the cap.
const MAX_CONSTRUCTS = 10;
function toggleConstruct(id) {
setConstructIds((ids) => {
if (ids.includes(id)) return ids.filter((x) => x !== id);
if (ids.length >= MAX_CONSTRUCTS) {
setError(`At most ${MAX_CONSTRUCTS} constructs per run.`);
return ids;
}
return [...ids, id];
});
}
async function handleUpload(e) {
const file = e.target.files?.[0];
if (!file) return;
setUploading(true);
setError("");
try {
const uploaded = await api.uploadCorpus(project.id, file);
const list = await api.listCorpora(project.id);
setCorpora(list);
setCorpusId(uploaded.id);
setTextColumn(uploaded.suggested_text_column || uploaded.columns[0]);
} catch (err) {
setError(err.message);
} finally {
setUploading(false);
if (fileRef.current) fileRef.current.value = "";
}
}
async function handleRun() {
setRunning(true);
setError("");
try {
await api.createJob({
project_id: project.id,
corpus_id: corpusId,
construct_ids: constructIds,
text_column: textColumn,
model_name: modelName,
language,
...(anchorMode && oppositeId
? { opposite_construct_id: oppositeId, similarity_metric: metric }
: {}),
});
await refreshJobs();
onAuthRefresh?.(); // anonymous run counter changed
} catch (err) {
setError(err.message);
} finally {
setRunning(false);
}
}
if (viewJobId) {
return (
<ResultsView
jobId={viewJobId}
onBack={() => {
setViewJobId(null);
refreshJobs();
}}
/>
);
}
const fileMissing = corpus && corpus.file_available === false;
const oppositeConstruct = constructs.find((c) => c.id === oppositeId) || null;
// Anchored runs need exactly one target and a distinct opposite pole.
const anchorReady =
!anchorMode ||
(constructIds.length === 1 && oppositeId && oppositeId !== constructIds[0]);
const canRun =
corpusId && textColumn && constructIds.length > 0 && modelName && !running &&
!fileMissing && anchorReady;
return (
<>
{error && (
<div className="error-banner" onClick={() => setError("")}>
{error}
</div>
)}
{/* Project header + actions */}
<div className="project-header">
<div>
<span className="project-title">{project.name}</span>
{project.archived && <span className="pill queued">archived</span>}
</div>
<div className="row">
<button className="ghost" onClick={toggleArchive}>
{project.archived ? "Unarchive" : "Archive"}
</button>
<button className="ghost danger" onClick={() => setConfirmDelete(true)}>
Delete
</button>
</div>
</div>
{confirmDelete && (
<div className="modal-backdrop" onClick={() => setConfirmDelete(false)}>
<div className="modal" onClick={(e) => e.stopPropagation()}>
<h3>Delete "{project.name}"?</h3>
<p className="hint">
This permanently deletes {corpora.length} dataset{corpora.length === 1 ? "" : "s"},{" "}
{jobs.length} run{jobs.length === 1 ? "" : "s"}, and all uploaded and result files.
This cannot be undone. If you might need it later, use Archive instead.
</p>
<label className="field">
Type the project name to confirm
<input
type="text"
autoFocus
value={deleteText}
onChange={(e) => setDeleteText(e.target.value)}
placeholder={project.name}
/>
</label>
<div className="row">
<button
className="primary danger-solid"
disabled={deleteText !== project.name}
onClick={handleDelete}
>
Delete permanently
</button>
<button
className="ghost"
onClick={() => {
setConfirmDelete(false);
setDeleteText("");
}}
>
Cancel
</button>
</div>
</div>
</div>
)}
{/* Step 1 - corpus */}
<div className="card">
<h3>
<span className="step-badge">1</span>Corpus
</h3>
<p className="hint">
Upload a CSV or XLSX file, then choose the column containing the text to analyze.
{/* Both ceilings are shown up front, for signed-in users too: the row
limit is global and usually binds first, so surfacing only the
byte limit sent people off to split a file that was never too
large in bytes. */}
{auth && !auth.signed_in && auth.limits?.max_rows && (
<>
{" "}
Anonymous limit: {Math.round(auth.limits.max_bytes / 1048576)} MB /{" "}
{auth.limits.max_rows.toLocaleString()} rows per file; uploads are deleted
after analysis. Sign in (top right) for larger uploads and to keep your data.
</>
)}
{auth && auth.signed_in && auth.limits?.max_rows && (
<>
{" "}
Limit: {Math.round(auth.limits.max_bytes / 1048576)} MB /{" "}
{auth.limits.max_rows.toLocaleString()} rows per file.
</>
)}
</p>
<div className="row">
<div className="grow">
<label className="field">
Upload file
<input
ref={fileRef}
type="file"
accept=".csv,.xlsx,.xls"
onChange={handleUpload}
disabled={uploading}
/>
</label>
{uploading && <span className="small muted">Uploading…</span>}
</div>
<div className="grow">
<label className="field">
Corpus
<select value={corpusId} onChange={(e) => setCorpusId(e.target.value)}>
<option value="">- select -</option>
{corpora.map((c) => (
<option key={c.id} value={c.id}>
{c.filename} ({c.n_rows.toLocaleString()} rows)
{c.file_available === false ? " - re-upload to run" : ""}
</option>
))}
</select>
</label>
</div>
<div className="grow">
<label className="field">
Text column
<select
value={textColumn}
onChange={(e) => setTextColumn(e.target.value)}
disabled={!corpus}
>
<option value="">- select -</option>
{corpus?.columns.map((col) => (
<option key={col} value={col}>
{col}
{col === corpus.suggested_text_column ? " (suggested)" : ""}
</option>
))}
</select>
</label>
</div>
</div>
{corpus?.parse_info?.note && (
<p className="small muted">⚠ {corpus.parse_info.note}</p>
)}
{corpus && corpus.file_available === false && (
<p className="small muted">
⚠ This dataset's file is no longer on the server (the instance restarted).
Your past results for it are safe, but to run a new analysis, upload the
file again above.
</p>
)}
</div>
{/* Step 2 - construct */}
<div className="card">
<h3>
<span className="step-badge">2</span>Construct
</h3>
<p className="hint">
Three ways to add a construct: pick validated scales from the library, add
your own items (typed or uploaded), or draft items with AI when no validated
scale exists. Selecting several runs them together in one pass (up to 10) and
shows how they correlate in your texts.
</p>
<div className="construct-row">
<div className="grow">
<ConstructPicker
constructs={constructs}
selectedIds={constructIds}
onToggle={toggleConstruct}
/>
</div>
<button
className="ghost"
onClick={() => setConstructFormTab((t) => (t ? null : "type"))}
>
{constructFormTab ? "✕ Close" : "+ New construct"}
</button>
</div>
{selectedConstructs.map((c) => (
<details className="construct-selected" key={c.id} open={selectedConstructs.length === 1}>
<summary>
<span className="construct-selected-name">{c.name}</span>
<span className="picker-meta">
{" "}
{c.items.length} item{c.items.length === 1 ? "" : "s"}
{c.ai_generated
? " · AI-generated · not validated"
: c.verification_status !== "verified"
? " · unverified"
: ""}
</span>
<button
type="button"
className="linkish construct-remove"
onClick={(e) => {
e.preventDefault();
toggleConstruct(c.id);
}}
>
remove
</button>
</summary>
<ul className="construct-items">
{c.items.map((item, i) => (
<li key={i}>
{item}
{c.reverse_scored?.[i] ? " (reverse-scored)" : ""}
</li>
))}
</ul>
{c.reference && (
<p className="small muted mt">Reference: {c.reference}</p>
)}
{c.ai_generated ? (
/* Cautionary wording approved by the PI (2026-08-05) */
<p className="small muted">
⚠ This construct's items were AI-generated and have not been
psychometrically validated. Interpret scores with appropriate caution.
</p>
) : (
c.verification_status !== "verified" && (
<p className="small muted">
⚠ Item wording not yet verified verbatim against the original
publication (status: {c.verification_status.replace("_", " ")}).
</p>
)
)}
</details>
))}
{/* Anchor vectors (bipolar constructs, spec 0006): score along the axis
between a target and a contrasting construct. */}
<div className="anchor-toggle">
<label className="check">
<input
type="checkbox"
checked={anchorMode}
onChange={(e) => {
setAnchorMode(e.target.checked);
if (!e.target.checked) setOppositeId("");
}}
/>
Add a contrasting construct (anchor vector)
</label>
<span className="small muted">
Scores texts along the axis between two poles - higher = toward the target,
negative = toward the opposite.
</span>
</div>
{anchorMode && (
<div className="anchor-panel">
{constructIds.length !== 1 ? (
<p className="small muted">
An anchored run uses exactly one target construct above. Select a single
target to choose its opposite pole.
</p>
) : (
<>
<label className="small muted">Contrasting (opposite) construct</label>
<ConstructPicker
constructs={constructs.filter((c) => c.id !== constructIds[0])}
selectedIds={oppositeId ? [oppositeId] : []}
onToggle={(id) => setOppositeId((cur) => (cur === id ? "" : id))}
/>
{oppositeConstruct && (
<details className="construct-selected" open>
<summary>
<span className="construct-selected-name">{oppositeConstruct.name}</span>
<span className="picker-meta">
{" "}
{oppositeConstruct.items.length} item
{oppositeConstruct.items.length === 1 ? "" : "s"} · opposite pole
</span>
<button
type="button"
className="linkish construct-remove"
onClick={(e) => {
e.preventDefault();
setOppositeId("");
}}
>
remove
</button>
</summary>
<ul className="construct-items">
{oppositeConstruct.items.map((item, i) => (
<li key={i}>{item}</li>
))}
</ul>
</details>
)}
<fieldset className="anchor-metric">
<legend className="small muted">Similarity metric</legend>
<label className="check">
<input
type="radio"
name="anchor-metric"
checked={metric === "cosine"}
onChange={() => setMetric("cosine")}
/>
Cosine (default)
</label>
<label className="check">
<input
type="radio"
name="anchor-metric"
checked={metric === "dot"}
onChange={() => setMetric("dot")}
/>
Dot product
</label>
</fieldset>
</>
)}
</div>
)}
{constructFormTab && (
<NewConstructForm
auth={auth}
constructs={constructs}
source={constructFormTab}
onSourceChange={setConstructFormTab}
onCreated={async (created) => {
const list = await api.listConstructs();
setConstructs(list);
toggleConstruct(created.id);
setConstructFormTab(null);
}}
onError={setError}
/>
)}
</div>
{/* Step 3 - language, model + run */}
<div className="card">
<h3>
<span className="step-badge">3</span>Language, model &amp; run
</h3>
<p className="hint">
Embeddings run locally via sentence-transformers; model and language are recorded
in the run metadata. If the corpus doesn&apos;t match the selected language or the
model doesn&apos;t support it, you&apos;ll get a warning - never a silent result.
</p>
<div className="run-settings">
<label className="field language-control">
Text language
<select value={language} onChange={(e) => setLanguage(e.target.value)}>
{languages.map((l) => (
<option key={l} value={l}>
{l}
</option>
))}
</select>
</label>
<label className="field model-control">
Embedding model
<select value={modelName} onChange={(e) => setModelName(e.target.value)}>
{models.map((m) => (
<option key={m.id} value={m.id}>
{m.label}
</option>
))}
</select>
</label>
<button className="primary run-button" disabled={!canRun} onClick={handleRun}>
{running
? "Starting…"
: anchorMode && oppositeId
? "Run anchored CCR analysis"
: constructIds.length > 1
? `Run CCR analysis (${constructIds.length} constructs)`
: "Run CCR analysis"}
</button>
</div>
{/* Disabled-until-valid with the reason inline (same pattern as the
construct form's Save) - a dead button with no visible cause is
the top tester confusion. */}
{!canRun && !running && !fileMissing && (
<p className="small muted">
To run, still needed:{" "}
{[
!corpusId && "a dataset (Step 1)",
corpusId && !textColumn && "a text column (Step 1)",
constructIds.length === 0 && "at least one construct (Step 2)",
anchorMode && constructIds.length > 1 && "a single target construct for the anchor (Step 2)",
anchorMode && constructIds.length === 1 && !oppositeId && "a contrasting construct (Step 2)",
]
.filter(Boolean)
.join(", ")}
.
</p>
)}
{auth && !auth.signed_in && auth.usage?.max_runs_per_day != null && (
<p className="small muted">
{Math.min(auth.usage.runs_used_today, auth.usage.max_runs_per_day)} of{" "}
{auth.usage.max_runs_per_day} free runs used today
{auth.usage.runs_used_today >= auth.usage.max_runs_per_day
? " - sign in (top right) to keep running."
: "."}
</p>
)}
{auth?.signed_in && auth.usage?.max_saved_runs != null && (
<p className="small muted">
{auth.usage.saved_runs} of {auth.usage.max_saved_runs} saved runs used.
</p>
)}
{models.find((m) => m.id === modelName)?.warnings?.map((w, i) => (
<p key={i} className="small muted">
⚠ {w}
</p>
))}
</div>
{/* Jobs */}
{jobs.length > 0 && (
<div className="card">
<h3>Runs</h3>
<div className="table-wrap">
<table className="docs">
<thead>
<tr>
<th>Started</th>
<th>Corpus</th>
<th>Construct</th>
<th>Model</th>
<th>Lang</th>
<th style={{ width: "20%" }}>Status</th>
<th />
</tr>
</thead>
<tbody>
{jobs.map((j) => (
<tr key={j.id}>
<td className="muted">
{(j.started_at || j.created_at).replace("T", " ").slice(0, 16)}
</td>
<td>{j.corpus_filename}</td>
<td>{(j.construct_names?.length ? j.construct_names : [j.construct_name]).join(" + ")}</td>
<td className="muted small">{j.model_name}</td>
<td className="muted small">{j.language}</td>
<td>
{j.status === "running" ? (
<div className="progress-track" title={`${Math.round(j.progress * 100)}%`}>
<div
className="progress-fill"
style={{ width: `${Math.max(3, j.progress * 100)}%` }}
/>
</div>
) : (
<span className={`pill ${j.status}`}>{j.status}</span>
)}
{j.status === "failed" && (
<div className="small muted" title={j.error}>
{j.error.split("\n").pop()}
</div>
)}
</td>
<td>
{j.status === "completed" && (
<button className="linkish" onClick={() => setViewJobId(j.id)}>
View results
</button>
)}
</td>
</tr>
))}
</tbody>
</table>
</div>
</div>
)}
</>
);
}
const REVERSE_SUFFIX = /\s*\((r|rev|reversed)\)\s*$/i;
function NewConstructForm({ auth, constructs, source, onSourceChange, onCreated, onError }) {
const [name, setName] = useState("");
const [reference, setReference] = useState("");
const [description, setDescription] = useState("");
const [itemsText, setItemsText] = useState("");
const [saving, setSaving] = useState(false);
const [parsing, setParsing] = useState(false);
const [parseNotes, setParseNotes] = useState([]);
// AI drafting (ITEM_GENERATION.md): genInfo is the provenance stamp echoed
// back on save; it survives manual edits (the seed was AI) but is cleared
// when items come from a file upload instead.
const [nItems, setNItems] = useState(10);
const [generating, setGenerating] = useState(false);
const [genInfo, setGenInfo] = useState(null);
const [genNotes, setGenNotes] = useState("");
const [genUsage, setGenUsage] = useState(null);
const itemFileRef = useRef(null);
const itemsRef = useRef(null);
const setSource = onSourceChange;
// Quota shown from the first tab-open (auth/me carries it), replaced by the
// fresher count from each generate response.
const quotaInfo =
genUsage ||
(auth?.usage?.max_generations_per_day != null
? {
used: auth.usage.generations_used_today,
max: auth.usage.max_generations_per_day,
}
: null);
// Live drafting-model facts (from /api/auth/me) for the info tooltip. The
// model varies by deployment (Claude vs the interim open model), so this is
// read from the API, never hardcoded in the UI.
const gen = auth?.generation;
const genModelLabel = gen?.available ? gen.model_label || gen.model : null;
const genAria = genModelLabel
? `AI item drafting uses ${genModelLabel}${
gen.provider_label ? ` (${gen.provider_label})` : ""
}, prompt version ${gen.prompt_version}. Positively-keyed items only, ${
gen.n_items_min
} to ${gen.n_items_max} per draft, ${
gen.max_generations_per_day
} drafts per day. Not a validated scale; the model, version, and date are recorded in each run's metadata.`
: "AI item drafting uses a hosted language model. Not a validated scale; the model, version, and date are recorded in each run's metadata.";
// Simple library name-match (v1 guardrail, PI-approved): if a validated
// scale with a similar name exists, say so before anyone generates.
const nameQuery = name.trim().toLowerCase();
const libraryMatch =
nameQuery.length >= 3
? (constructs || []).find(
(c) =>
c.is_seed &&
(c.name.toLowerCase().includes(nameQuery) ||
nameQuery.includes(c.name.toLowerCase()))
)
: null;
async function handleGenerate() {
if (!name.trim() || !description.trim()) {
onError(
"AI drafting needs the construct's name and a few sentences explaining " +
"what it means (the Description field)."
);
return;
}
setGenerating(true);
setGenNotes("");
try {
const resp = await api.generateConstructItems({
name: name.trim(),
description: description.trim(),
n_items: nItems,
});
setItemsText(resp.items.join("\n"));
setGenInfo({ ...resp.generation, n: resp.items.length });
setGenNotes(resp.notes || "");
setGenUsage({
used: resp.generations_used_today,
max: resp.max_generations_per_day,
});
// The drafted items land in the textarea below the controls - scroll
// there so it's obvious they arrived (PI feedback: "how can they see
// all 10 items generated under the hood?").
setTimeout(() => {
itemsRef.current?.scrollIntoView({ behavior: "smooth", block: "center" });
itemsRef.current?.focus({ preventScroll: true });
}, 50);
} catch (err) {
onError(err.message);
} finally {
setGenerating(false);
}
}
// Convention shared with the file parser and the lab's own spreadsheets:
// a trailing (R) marks a reverse-scored item.
function parseLines() {
return itemsText
.split("\n")
.map((s) => s.trim())
.filter(Boolean)
.map((line) => ({
text: line.replace(REVERSE_SUFFIX, "").trim(),
reverse: REVERSE_SUFFIX.test(line),
}));
}
async function handleItemFile(e) {
const file = e.target.files?.[0];
if (!file) return;
setParsing(true);
setParseNotes([]);
try {
const parsed = await api.parseConstructFile(file);
setItemsText(
parsed.items
.map((i) => (i.reverse_scored ? `${i.text} (R)` : i.text))
.join("\n")
);
setGenInfo(null); // items now come from the file, not an AI draft
setGenNotes("");
if (!name.trim() && parsed.suggested_name) setName(parsed.suggested_name);
setParseNotes(parsed.warnings || []);
} catch (err) {
onError(err.message);
} finally {
setParsing(false);
if (itemFileRef.current) itemFileRef.current.value = "";
}
}
async function save(e) {
e.preventDefault();
const parsed = parseLines();
if (!name.trim() || parsed.length === 0) {
onError("A custom construct needs a name and at least one item (one per line).");
return;
}
setSaving(true);
try {
const created = await api.createConstruct({
name: name.trim(),
reference,
description: description.trim(),
items: parsed.map((i) => i.text),
reverse_scored: parsed.map((i) => i.reverse),
// provenance stamp when AI-drafted (schema fields only); `items` is
// the ORIGINAL draft - the audit record of what the AI produced
// before the researcher's edits
generation: genInfo
? {
model: genInfo.model,
prompt_version: genInfo.prompt_version,
generated_at: genInfo.generated_at,
items: genInfo.items,
}
: undefined,
});
onCreated(created);
} catch (err) {
onError(err.message);
} finally {
setSaving(false);
}
}
const nReverse = parseLines().filter((i) => i.reverse).length;
const hasItems = parseLines().length > 0;
// On the AI path the items box appears once there is something to review -
// an empty box + disabled Save before drafting is just noise.
const showItemsBox = source !== "ai" || Boolean(itemsText.trim() || genInfo);
const SOURCE_CARDS = [
["type", "Type or paste", "Enter a scale's items yourself, one per line"],
["upload", "Upload a file", "CSV/XLSX with an item column - review, then save"],
...(auth?.generation_available
? [["ai", "Draft with AI", "From a name + description, when no validated scale exists"]]
: []),
];
return (
<form onSubmit={save} className="new-construct mt">
<div className="new-construct-head">
<strong>New construct</strong>
<button type="button" className="linkish" onClick={() => setSource(null)}>
✕ Close
</button>
</div>
{/* The three paths as one visible choice (PI: "make the options
explicit") - each card shows only its own fields below. */}
<div className="source-cards" role="tablist" aria-label="How to add items">
{SOURCE_CARDS.map(([key, title, desc]) => (
<button
key={key}
type="button"
role="tab"
aria-selected={source === key}
className={"source-card" + (source === key ? " active" : "")}
onClick={() => setSource(key)}
>
<b>{source === key ? "● " : "○ "}{title}</b>
<span>{desc}</span>
</button>
))}
</div>
{source === "ai" && !auth?.signed_in ? (
<p className="small muted">
Sign in (top right) to draft items with AI - accounts are free.
</p>
) : (
<>
<div className="row">
<div className="grow">
<label className="field">
Name
<input type="text" value={name} onChange={(e) => setName(e.target.value)} />
</label>
</div>
{source !== "ai" && (
<div className="grow">
<label className="field">
Reference (publication, optional)
<input
type="text"
value={reference}
onChange={(e) => setReference(e.target.value)}
/>
</label>
</div>
)}
</div>
{source === "ai" && (
<>
{/* Live model details on demand (task: hover the i for version
info). The label + tooltip read from auth.generation, so they
always match the model this instance actually uses. */}
<div className="ai-modeline">
<span className="small muted">
Drafted by{" "}
<b>{genModelLabel || "a hosted AI language model"}</b>
</span>
{/* Focusable span, not a <button>: the bubble nests a list and
a link (block/interactive content), which are invalid inside
a button. aria-label carries the full text for screen
readers, so the visual bubble is aria-hidden and its link is
kept out of the tab order. */}
<span
className="infotip"
tabIndex={0}
role="note"
aria-label={genAria}
title={genAria}
>
<span className="infotip-icon" aria-hidden="true">i</span>
<span className="infotip-pop" aria-hidden="true">
<b>How AI drafting works</b>
<ul>
<li>
Model: {genModelLabel || "hosted language model"}
{gen?.provider_label ? ` (${gen.provider_label})` : ""}
</li>
<li>Prompt version: v{gen?.prompt_version ?? "1"}</li>
<li>
Positively-keyed items only,{" "}
{gen ? `${gen.n_items_min}-${gen.n_items_max}` : "5-20"} per draft
</li>
<li>Limit: {gen?.max_generations_per_day ?? 20} drafts per day</li>
<li>
Not a validated scale. The model, prompt version, and date are
recorded in every run's metadata and reproduction script.
</li>
</ul>
<a href="/guide#ai" target="_blank" rel="noopener noreferrer" tabIndex={-1}>
More in the guide
</a>
</span>
</span>
</div>
<label className="field">
Description - a few sentences on what this construct means (the AI
drafts from this)
<textarea
rows={2}
value={description}
onChange={(e) => setDescription(e.target.value)}
/>
</label>
{libraryMatch && (
<p className="small muted">
⚠ The library already has “{libraryMatch.name}” (
{libraryMatch.items.length} validated items). Prefer the library scale
unless you specifically need custom items.
</p>
)}
<div className="field-row">
<label className="field">
Number of items
<select
value={nItems}
onChange={(e) => setNItems(Number(e.target.value))}
>
{Array.from({ length: 16 }, (_, i) => i + 5).map((n) => (
<option key={n} value={n}>{n}</option>
))}
</select>
</label>
{/* Disabled-until-valid, reason inline - errors in the
top-of-page banner go unseen from down here. */}
<button
type="button"
className="primary"
onClick={handleGenerate}
disabled={
generating || saving || parsing || !name.trim() || !description.trim()
}
>
{generating ? "Drafting…" : "Draft items"}
</button>
{quotaInfo && (
<span className="small muted">
{quotaInfo.used} of {quotaInfo.max} used today
</span>
)}
</div>
{(!name.trim() || !description.trim()) && (
<p className="small muted">
To draft, fill in
{!name.trim() ? " the Name" : ""}
{!name.trim() && !description.trim() ? " and" : ""}
{!description.trim() ? " the Description" : ""} above.
</p>
)}
{/* Cautionary wording approved by the PI (2026-08-05) */}
<p className="small muted">
These items are drafted by an AI language model. They are a starting
point, not a validated questionnaire. Review every item, edit or remove
weak ones, and prefer a validated scale whenever one exists.
</p>
{genInfo && (
<p className="small">
<b>{genInfo.n} items drafted - review them below.</b> Edit or remove
weak ones, then Save. The saved construct will be labeled
“AI-generated · not validated” (model: {genInfo.model}).
</p>
)}
{genNotes && <p className="small muted">Model notes: {genNotes}</p>}
</>
)}
{source === "upload" && (
<>
<label className="field">
CSV/XLSX with an "item" column, or one item per row; reverse-scored via
a "reverse" column or a trailing (R)
<input
ref={itemFileRef}
type="file"
accept=".csv,.xlsx,.xls"
onChange={handleItemFile}
disabled={parsing}
/>
</label>
{parsing && <p className="small muted">Parsing…</p>}
{parseNotes.map((w, i) => (
<p key={i} className="small muted">⚠ {w}</p>
))}
</>
)}
{showItemsBox && (
<>
<label className="field">
Items - one per line{source === "type" ? " (or paste a whole scale)" : ""};
append (R) to mark a reverse-scored item
<textarea
ref={itemsRef}
rows={6}
value={itemsText}
onChange={(e) => setItemsText(e.target.value)}
/>
</label>
{nReverse > 0 && (
<p className="small muted">{nReverse} item(s) marked reverse-scored.</p>
)}
{/* Save stays disabled until it can actually succeed (PI
feedback 2026-08-07: a silent dead click reads as broken). */}
<button
className="primary"
type="submit"
disabled={saving || parsing || !name.trim() || !hasItems}
>
{saving ? "Saving…" : "Save construct"}
</button>
{(!name.trim() || !hasItems) && (
<p className="small muted">
To save, this construct still needs
{!name.trim() ? " a name" : ""}
{!name.trim() && !hasItems ? " and" : ""}
{!hasItems ? " at least one item" : ""}.
</p>
)}
</>
)}
</>
)}
</form>
);
}