revert: "feat(spark-analytics): per-row free-text questions in webview"
This reverts commit af3310297b.
This commit is contained in:
@@ -129,16 +129,6 @@ data:
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font-size: 0.8rem; line-height: 1.6; border-bottom: 1px solid #30363d; }
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.row-explain-text { color: #c9d1d9; white-space: pre-wrap; }
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.row-explain-error { color: #f85149; }
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.row-ask { display: flex; gap: 0.5rem; margin: 0.6rem 0 0.3rem; }
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.row-q-input { flex: 1; background: #0d1117; border: 1px solid #30363d; border-radius: 6px;
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color: #c9d1d9; font-size: 0.8rem; padding: 5px 8px; }
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.row-q-input:focus { outline: none; border-color: #388bfd; }
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.row-ask-btn { background: #1f3a5f; border: 1px solid #388bfd; color: #58a6ff; border-radius: 6px;
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padding: 4px 12px; font-size: 0.78rem; cursor: pointer; white-space: nowrap; }
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.row-ask-btn:hover { background: #263d6a; }
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.row-ask-btn:disabled { opacity: 0.5; cursor: not-allowed; }
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.row-answer { color: #c9d1d9; white-space: pre-wrap; margin-top: 0.3rem; }
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.row-answer.err { color: #f85149; }
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"""
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JS = """
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@@ -322,52 +312,6 @@ data:
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}
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}
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async function askRow(idx) {
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const key = getKey();
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if (!key) { openSettings(); return; }
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const inp = document.getElementById('row-q-' + idx);
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const btn = document.getElementById('row-ask-btn-' + idx);
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const out = document.getElementById('row-answer-' + idx);
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if (!inp || !btn || !out) return;
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const question = (inp.value || '').trim();
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if (!question) { inp.focus(); return; }
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const dataset = window.DATASET;
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const row = dataset.rows && dataset.rows[idx];
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if (!row) {
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out.className = 'row-answer err';
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out.textContent = 'Row data not available.';
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return;
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}
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btn.disabled = true;
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inp.disabled = true;
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const label = btn.textContent;
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btn.innerHTML = '<span class="spinner"></span>';
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out.className = 'row-answer';
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out.textContent = 'Thinking…';
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try {
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const text = await queueNim(
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{
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key: key, mode: 'row', question: question,
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dataset: { label: dataset.label, headers: dataset.headers, row: row },
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},
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partial => { out.textContent = partial; },
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);
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out.textContent = text;
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} catch (e) {
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out.className = 'row-answer err';
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out.textContent = e.message;
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} finally {
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btn.disabled = false;
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inp.disabled = false;
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btn.textContent = label;
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}
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}
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document.addEventListener('DOMContentLoaded', () => {
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updateSettingsBtn();
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updateNoKeyHint();
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@@ -515,12 +459,6 @@ data:
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f"<tr class='row-expand-tr' id='row-expand-{i}' style='display:none'>"
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f"<td colspan='{num_cols + 1}'>"
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f"<span id='row-explain-{i}'></span>"
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f"<div class='row-ask'>"
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f"<input class='row-q-input' id='row-q-{i}' placeholder='Ask a question about this row…' "
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f"onkeydown='if(event.key===\"Enter\")askRow({i})' />"
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f"<button class='row-ask-btn' id='row-ask-btn-{i}' onclick='askRow({i})'>Ask</button>"
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f"</div>"
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f"<div class='row-answer' id='row-answer-{i}'></div>"
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f"</td></tr>"
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)
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else:
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@@ -578,38 +516,21 @@ data:
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if mode == "row":
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row = dataset.get("row", [])
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row_desc = ", ".join(f"{h}: {v}" for h, v in zip(headers, row))
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question = str(body.get("question", "")).strip()
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if question:
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system_prompt = (
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"You are a chess analytics expert. Answer the user's question about a single "
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"data entry from a chess analytics dataset. Be specific, accurate and concise. "
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"Ground your answer in the entry's values and in chess knowledge. "
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"If the question cannot be answered from the entry, say so."
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)
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user_prompt = (
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f"Dataset: \"{label}\"\n"
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f"Columns: {', '.join(headers)}\n\n"
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f"Entry: {row_desc}\n\n"
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f"Question: {question}\n\n"
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"Answer:"
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)
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max_tokens = 400
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else:
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system_prompt = (
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"You are a chess analytics expert. Analyze a single data entry from a chess analytics dataset. "
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"Be specific and insightful — 3-4 sentences. "
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"If the entry involves a chess opening (ECO code or opening name present), explain the opening's "
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"strategic ideas, strengths and weaknesses, and why players choose it. "
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"For player data, explain what the stats reveal about their playing style. "
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"For other types, explain what makes this entry notable."
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)
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user_prompt = (
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f"Dataset: \"{label}\"\n"
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f"Columns: {', '.join(headers)}\n\n"
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f"Entry to analyze: {row_desc}\n\n"
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"Provide a detailed, chess-specific analysis of this entry."
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)
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max_tokens = 300
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system_prompt = (
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"You are a chess analytics expert. Analyze a single data entry from a chess analytics dataset. "
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"Be specific and insightful — 3-4 sentences. "
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"If the entry involves a chess opening (ECO code or opening name present), explain the opening's "
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"strategic ideas, strengths and weaknesses, and why players choose it. "
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"For player data, explain what the stats reveal about their playing style. "
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"For other types, explain what makes this entry notable."
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)
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user_prompt = (
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f"Dataset: \"{label}\"\n"
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f"Columns: {', '.join(headers)}\n\n"
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f"Entry to analyze: {row_desc}\n\n"
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"Provide a detailed, chess-specific analysis of this entry."
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)
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max_tokens = 300
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else:
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sample = dataset.get("sample", [])
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rows_text = "\n".join(
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