49 lines
1.7 KiB
Bash
49 lines
1.7 KiB
Bash
#!/usr/bin/env bash
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# research-visual-workflow.sh — S6 科研成果可视化沉淀 · 可复现执行脚本
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# 子赛题四「应用 GitLink 辅助科研」交付物之一
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#
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# 用法： bash research-visual-workflow.sh <OWNER> <REPO> [OUT_DIR] [WEEKS]
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# 示例： bash research-visual-workflow.sh mindspore-Ecosystem mindspore ./out 26
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set -euo pipefail
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OWNER="${1:?用法: $0 <OWNER> <REPO> [OUT_DIR] [WEEKS]}"
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REPO="${2:?缺少 REPO}"
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OUT_DIR="${3:-./research-visual-output}"
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WEEKS="${4:-26}"
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# 定位仓库根（脚本位于 skills/gitlink-research-visual/examples/）
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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REPO_ROOT="$(cd "$SCRIPT_DIR/../../.." && pwd)"
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VISUAL="$REPO_ROOT/scripts/research/visual.py"
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# 本地 Windows 开发可设 GITLINK_CLI=./gitlink-cli.exe；Linux/容器走 PATH 默认值
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: "${GITLINK_CLI:=gitlink-cli}"
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echo "==> 目标仓库: $OWNER/$REPO"
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echo "==> CLI: $GITLINK_CLI"
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echo "==> 回溯周数: $WEEKS"
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mkdir -p "$OUT_DIR"
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GITLINK_CLI="$GITLINK_CLI" python "$VISUAL" \
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--owner "$OWNER" --repo "$REPO" \
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--weeks "$WEEKS" \
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--out "$OUT_DIR"
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echo
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echo "==> 产物："
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ls -1 "$OUT_DIR"
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echo
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echo "==> 成果概览："
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python -c "
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import json
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d=json.load(open('$OUT_DIR/visual.json',encoding='utf-8'))
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m=d['meta']; a=d['artifact_summary']
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print(f\"仓库: {d['repo']} 回溯 {d['weeks']} 周\")
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print(f\"活跃度: commits={m['commit_count']} issues={m['issue_count']} prs={m['pr_count']} 贡献者={m['contributor_count']}\")
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print(f\"产物分类: paper={a['paper']} dataset={a['dataset']} model={a['model']} benchmark={a['benchmark']}\")
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print(f\"抽取论文引用: {len(d['paper_links'])} 条\")
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tl=d['timeline']
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peak=max(tl['commits']) if tl['commits'] else 0
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print(f\"开发节奏(最近窗口): 峰值 {peak} 提交/周\")
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"
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