SQL-Query-Optimization-Environment/scripts/export_replay.py at main · OfficialAbhinavSingh/SQL-Query-Optimization-Environment · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
"""
Export a self-contained offline replay: JSON + HTML with embedded run data.

Uses the deterministic fallback one step per task (five scrubber steps).

Usage:
  python scripts/export_replay.py

Writes:
  runs/demo_fallback/replay.json
  runs/demo_fallback/replay.html
"""

from __future__ import annotations

import base64
import json
import os
import sys
from datetime import datetime, timezone

ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, ROOT)

from baseline_runner import FALLBACK_SOLUTIONS, TASK_IDS  # noqa: E402
from env import SQLOptimEnv  # noqa: E402
from models import Action  # noqa: E402


def _build_payload() -> dict:
    env = SQLOptimEnv()
    steps: list[dict] = []
    for i, task_id in enumerate(TASK_IDS):
        obs = env.reset(task_id=task_id)
        sol = FALLBACK_SOLUTIONS[task_id]
        action = Action(
            suggestions=sol["suggestions"],
            optimized_query=sol["optimized_query"],
            summary=sol["summary"],
            estimated_improvement=sol["estimated_improvement"],
            approved=sol["approved"],
        )
        result = env.step(action)
        ex = result.info.get("execution") or {}
        steps.append(
            {
                "index": i,
                "task_id": task_id,
                "task_name": obs.task_name,
                "difficulty": obs.difficulty,
                "reward": round(result.reward.score, 4),
                "breakdown": dict(result.reward.breakdown),
                "original_sql": obs.sql_query,
                "optimized_sql": action.optimized_query,
                "last_execution": ex,
            }
        )

    run_id = datetime.now(timezone.utc).strftime("demo_fallback_%Y%m%dT%H%M%SZ")
    return {
        "run_id": run_id,
        "environment": "sql-optim-env",
        "policy": "deterministic_fallback",
        "steps": steps,
    }


HTML_TEMPLATE = """<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8" />
  <meta name="viewport" content="width=device-width, initial-scale=1" />
  <title>SQL Optim Env — Episode replay</title>
  <style>
    :root {{
      --bg:#0d1117; --fg:#e6edf3; --muted:#8b949e; --acc:#58a6ff; --bd:#30363d;
    }}
    * {{ box-sizing:border-box; }}
    body {{ margin:0; font-family:ui-sans-serif,system-ui,sans-serif; background:var(--bg); color:var(--fg); }}
    header {{ padding:16px 20px; border-bottom:1px solid var(--bd); display:flex; align-items:center; gap:16px; flex-wrap:wrap; }}
    h1 {{ font-size:1.1rem; margin:0; }}
    .controls {{ display:flex; align-items:center; gap:8px; margin-left:auto; }}
    button {{ background:#21262d; color:var(--fg); border:1px solid var(--bd); padding:6px 12px; border-radius:6px; cursor:pointer; }}
    button:hover {{ background:#30363d; }}
    .meta {{ font-size:0.8rem; color:var(--muted); }}
    main {{ padding:20px; max-width:1100px; margin:0 auto; }}
    pre {{ background:#161b22; border:1px solid var(--bd); border-radius:8px; padding:12px; overflow:auto; font-size:12px; line-height:1.45; }}
    .grid {{ display:grid; grid-template-columns:1fr 1fr; gap:12px; }}
    @media (max-width:800px) {{ .grid {{ grid-template-columns:1fr; }} }}
    .pill {{ display:inline-block; padding:2px 8px; border-radius:999px; background:#1f3a5f; font-size:0.75rem; }}
    h2 {{ font-size:0.95rem; margin:16px 0 8px; color:var(--acc); }}
  </style>
</head>
<body>
  <header>
    <h1>SQL Query Optimization — replay</h1>
    <span class="pill" id="runLabel"></span>
    <div class="controls">
      <button type="button" id="prev">Prev</button>
      <button type="button" id="next">Next</button>
      <span class="meta" id="stepIdx"></span>
    </div>
  </header>
  <main>
    <p class="meta" id="taskTitle"></p>
    <h2>Reward</h2>
    <pre id="reward"></pre>
    <h2>Last execution (DuckDB)</h2>
    <pre id="exec"></pre>
    <div class="grid">
      <div>
        <h2>Original SQL</h2>
        <pre id="orig"></pre>
      </div>
      <div>
        <h2>Optimized SQL</h2>
        <pre id="opt"></pre>
      </div>
    </div>
  </main>
  <script>
  const DATA = JSON.parse(atob("{b64}"));
  const steps = DATA.steps || [];
  let cur = 0;
  function render() {{
    const s = steps[cur];
    if (!s) return;
    document.getElementById("runLabel").textContent = DATA.run_id || "run";
    document.getElementById("stepIdx").textContent = "Step " + (cur + 1) + " / " + steps.length;
    document.getElementById("taskTitle").textContent = s.task_name + " · " + s.difficulty + " · " + s.task_id;
    document.getElementById("reward").textContent = JSON.stringify({{ reward: s.reward, breakdown: s.breakdown }}, null, 2);
    document.getElementById("exec").textContent = JSON.stringify(s.last_execution || {{}}, null, 2);
    document.getElementById("orig").textContent = s.original_sql || "";
    document.getElementById("opt").textContent = s.optimized_sql || "";
  }}
  document.getElementById("prev").onclick = () => {{ cur = (cur - 1 + steps.length) % steps.length; render(); }};
  document.getElementById("next").onclick = () => {{ cur = (cur + 1) % steps.length; render(); }};
  render();
  </script>
</body>
</html>
"""


def main() -> None:
    out_dir = os.path.join(ROOT, "runs", "demo_fallback")
    os.makedirs(out_dir, exist_ok=True)
    payload = _build_payload()
    json_path = os.path.join(out_dir, "replay.json")
    with open(json_path, "w", encoding="utf-8") as f:
        json.dump(payload, f, indent=2)
    raw = json.dumps(payload, ensure_ascii=False).encode("utf-8")
    b64 = base64.b64encode(raw).decode("ascii")
    html = HTML_TEMPLATE.format(b64=b64)
    html_path = os.path.join(out_dir, "replay.html")
    with open(html_path, "w", encoding="utf-8") as f:
        f.write(html)
    print(f"Wrote {json_path}")
    print(f"Wrote {html_path}")


if __name__ == "__main__":
    main()