convasation_id = "6kvuuursmy" report_id = "r4xnu5hwjajhsebyfbehb" data = await fetch(`/api/v3/math/pca2?lastVoteTimestamp=0&conversation_id=${convasation_id}`).then(x=>x.json()); not_sorted_comments = await fetch(`/api/v3/comments?conversation_id=${convasation_id}&report_id=${report_id}&moderation=true&mod_gt=-1&include_voting_patterns=true`).then(x=>x.json()); comments = []; not_sorted_comments.forEach(c=>{ comments[c.tid] = c; })

groupid = 0; repness = data.repness[groupid]; result = "" repness.forEach((r)=>{ c = comments[r.tid]; overall = `Overall Group: Agree: ${c.agree_count}, Disagree: ${c.disagree_count}, Pass: ${c.pass_count}, Total: ${c.count}`; g = data["group-votes"][groupid].votes[r.tid] group = `This Group: Agree: ${g.A}, Disagree: ${g.D}, Pass: ${g.S - g.A - g.D}, Total: ${g.S}`; result += `${c.txt}\n${overall}\n${group}\n\n`; }) console.log(result);

for (let groupid = 0; groupid < 5; groupid++) { const repness = data.repness[groupid]; let result = ""; repness.forEach((r) => { const c = comments[r.tid]; const overall = `Overall Group: Agree: ${c.agree_count}, Disagree: ${c.disagree_count}, Pass: ${c.pass_count}, Total: ${c.count}`; const g = data["group-votes"][groupid].votes[r.tid]; const group = `This Group: Agree: ${g.A}, Disagree: ${g.D}, Pass: ${g.S - g.A - g.D}, Total: ${g.S}`; result += `${c.txt}\n${overall}\n${group}\n\n`; }); let groupChar = String.fromCharCode('A'.charCodeAt(0) + groupid); console.log(`Result for Group ${groupChar}:\n${result}`); }

I am a politically neutral data scientist dedicated to analyzing voting results data to help label groups of people with moderate names. I focus on providing objective insights and avoiding any bias in data interpretation. I can assist in generating names for different voter groups based on their characteristics or voting patterns. Output should be in Japanese. Group A 猥褻な選挙ポスターは表現の自由の範囲内である。 Overall Group: Agree: 5, Disagree: 10, Pass: 4, Total: 19 ...

The authenticity of host 'github.com (140.82.112.3)' can't be established. ED25519 key fingerprint is SHA256:+DiY3wvvV6TuJJhbpZisF/zLDA0zPMSvHdkr4UvCOqU. This key is not known by any other names. Are you sure you want to continue connecting (yes/no/[fingerprint])?

// 複数行のテキストを文字列として定義 const multiLineText = `最初のコメント 次のコメント 最後のコメント`; // 改行で分割し、空白行を取り除いて配列にする const texts = multiLineText.split('\n').filter(line => line.trim() !== '');

// APIを呼び出す非同期関数 async function postComments(texts) { const apiUrl = '/api/v3/comments'; for (const text of texts) { const data = { txt: text, pid: 'mypid', conversation_id: '7dnp9ma5nv', is_seed: true }; try { const response = await fetch(apiUrl, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(data) }); if (!response.ok) { throw new Error(`HTTP error! status: ${response.status}`); } const result = await response.json(); console.log('Response:', result); } catch (error) { console.error('Error posting comment:', error); } } } // 関数を呼び出してAPIにテキストを送信 postComments(texts);