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feat: implement dynamic ERD visualization, premium dashboard UI, and professional global README

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README.md CHANGED
@@ -1,193 +1,135 @@
1
  ---
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- title: SQL Migration Agent
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  emoji: πŸ—„οΈ
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  colorFrom: blue
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- colorTo: indigo
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  sdk: docker
 
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  pinned: false
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  ---
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- # SQL Schema Migration Agent β€” OpenEnv Benchmark
10
 
11
- An OpenEnv-compatible environment for evaluating AI agents on autonomous SQLite database migration tasks. The agent receives a broken/drifted schema and must write SQL to transform it to a target state without losing data.
 
12
 
13
- ## Why This Benchmark?
 
 
14
 
15
- Database schema migration is a **real-world task** that humans perform daily. Unlike toy benchmarks, it tests:
16
- - **Reasoning under constraints** (SQLite's limited ALTER TABLE support)
17
- - **Data preservation** (agents must never silently drop rows)
18
- - **Multi-step planning** (complex migrations require 5-15 coordinated SQL commands)
19
- - **Edge case handling** (apostrophes, NULL values, empty strings, type coercion)
20
 
21
- ## Architecture
22
 
23
- ```
24
- β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
25
- β”‚ inference.py (Baseline Agent) β”‚
26
- β”‚ - LLM API calls (OpenAI fmt) β”‚
27
- β”‚ - JSON mode + fallback parser β”‚
28
- β”‚ - Task-specific prompts β”‚
29
- β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
30
- β”‚ MigrationAction
31
- β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
32
- β”‚ environment.py (OpenEnv Env) β”‚
33
- β”‚ - SQLite execution engine β”‚
34
- β”‚ - SELECT result passthrough β”‚
35
- β”‚ - SQL timeout (progress hdlr) β”‚
36
- β”‚ - Dangerous SQL blacklist β”‚
37
- β”‚ - Transaction awareness β”‚
38
- β”‚ - Trajectory logging β”‚
39
- β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
40
- β”‚ score()
41
- β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
42
- β”‚ grader.py (Golden DB Engine) β”‚
43
- β”‚ - Dynamic golden reference DB β”‚
44
- β”‚ - Schema + data + FK scoring β”‚
45
- β”‚ - Case-insensitive comparison β”‚
46
- β”‚ - PRAGMA state preservation β”‚
47
- β”‚ - Anti-exploit checks β”‚
48
- β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
 
 
49
  ```
50
 
51
- ## Tasks (2 Easy / 3 Medium / 2 Hard)
52
-
53
- | # | Task | Difficulty | Steps | Description |
54
- |---|------|-----------|-------|-------------|
55
- | 1 | `column-restructure` | Easy | 10 | Merge first_name + last_name β†’ full_name |
56
- | 2 | `soft-delete-restoration` | Easy | 10 | Restore deleted products from deletion_log |
57
- | 3 | `table-normalization` | Medium | 15 | Normalize purchases β†’ customers + orders + FK |
58
- | 4 | `schema-version-merge` | Medium | 15 | Merge v1/v2 product tables with price coercion |
59
- | 5 | `multi-entity-extraction` | Medium | 15 | 3NF decomposition with invalid data routing |
60
- | 6 | `cascade-migration` | Hard | 20 | 4-table FK cascade, type coercion, orphan audit |
61
- | 7 | `dual-source-consolidation` | Hard | 20 | 6β†’4 table merge, cross-system email dedup |
62
-
63
- ### Adversarial Edge Cases
64
- - **O'Brien** (apostrophe in data β€” tests SQL escaping)
65
- - **$90,000 salary** (TEXT→INTEGER coercion — tests string processing)
66
- - **Empty string emails** (not NULL β€” tests data validation logic)
67
- - **Leading whitespace** (` alice@company.com` β€” tests TRIM awareness)
68
- - **ID conflicts** (same ID in two source tables β€” tests merge logic)
69
- - **Orphaned FKs** (references to deleted entities β€” tests audit logging)
70
- - **NULL currency** (must default to 'USD' β€” tests COALESCE)
71
-
72
- ## Baseline Scores (Qwen/Qwen3-32B)
73
- Tested deterministically via `inference.py` on default seeds:
74
- | Task | Success Score | Step Count |
75
- |------|--------------|------------|
76
- | `column-restructure` | 0.99 | 4-5 |
77
- | `soft-delete-restoration` | 0.99 | 5-7 |
78
- | `table-normalization` | 0.99 | 8-10 |
79
- | `schema-version-merge` | 0.93 | 9-11 |
80
- | `multi-entity-extraction` | 0.50 | 10-12 |
81
- | `cascade-migration` | 0.83 | 13-15 |
82
- | `dual-source-consolidation`| 0.28 | 15-18 |
83
-
84
- ## Dynamic Golden Database Grading
85
-
86
- Unlike benchmarks with hardcoded expected values, our grader is **seed-independent**:
87
-
88
- 1. At scoring time, a fresh DB is seeded and the correct migration is applied
89
- 2. The agent's DB is compared table-by-table against this golden reference
90
- 3. If seed data changes, the golden DB auto-updates
91
-
92
- **Scoring breakdown (per task):**
93
- - **Schema match (30%)**: Tables exist with correct columns
94
- - **Data match (40%)**: Row content matches golden DB (order-independent)
95
- - **FK & integrity (20%)**: Foreign keys enforced, PRAGMA integrity_check passes
96
- - **Anti-exploit (10%)**: No empty tables, no schema pollution
97
-
98
- ### Reward Function
99
- The episode step reward is the exact delta of the migration progress score:
100
- ```python
101
- step_reward = current_score - previous_score
102
- ```
103
- - If an agent reverts progress, `step_reward` is negative.
104
- - Exploit attempts (e.g. `PRAGMA foreign_keys = OFF`) yield immediate `reward = -0.3`.
105
- - Auto-submitted invalid schemas yield negative deltas for missing data.
106
 
107
- ## Security & Robustness
108
 
109
- - **SQL Timeout**: Progress-handler-based execution timeout prevents infinite CTEs
110
- - **Dangerous SQL Blacklist**: ATTACH DATABASE, DETACH, LOAD_EXTENSION blocked
111
- - **Transaction Awareness**: Respects BEGIN/COMMIT/ROLLBACK from agents
112
- - **Case-Insensitive Grading**: Table/column names compared case-insensitively
113
- - **PRAGMA Preservation**: Grader doesn't corrupt agent's FK state
114
- - **Trajectory Logging**: Full SQL history attached to final observation
115
 
116
- ## Setup
 
 
 
 
 
 
 
 
117
 
118
- ### Requirements
119
- ```bash
120
- pip install -r requirements.txt
121
- ```
122
 
123
- ### Environment Variables
124
- ```bash
125
- export HF_TOKEN=your_huggingface_token
126
- export API_BASE_URL=https://router.huggingface.co/v1 # or Groq, etc.
127
- export MODEL_NAME=Qwen/Qwen2.5-72B-Instruct
128
- ```
129
 
130
- ### Run Tests
131
- ```bash
132
- python test_smoke.py # Quick validation
133
- python test_all_tasks.py # All 7 tasks: golden migration + lifecycle
134
- ```
 
 
 
 
 
 
 
 
 
 
 
135
 
136
- ### Run Baseline Inference
 
 
 
 
 
 
 
 
 
 
137
  ```bash
138
- python inference.py # Runs all 7 tasks sequentially
 
 
 
 
 
 
139
  ```
140
 
141
- ### Start Server (HF Spaces)
142
  ```bash
143
- uvicorn server.app:app --host 0.0.0.0 --port 7860
144
  ```
145
 
146
- ## API Endpoints
147
-
148
- | Endpoint | Method | Description |
149
- |----------|--------|-------------|
150
- | `/reset` | POST | Start new migration episode |
151
- | `/step` | POST | Execute a SQL action |
152
- | `/state` | GET | Current environment state |
153
- | `/tasks` | GET | List all 7 tasks with metadata |
154
- | `/grader` | POST | Run grader on specific/all tasks |
155
- | `/health` | GET | Health check |
156
- | `/docs` | GET | Interactive API documentation |
157
-
158
- ## Action Schema
159
- ```json
160
- {
161
- "sql_command": "ALTER TABLE users ADD COLUMN full_name TEXT",
162
- "reasoning": "Add the target column before migrating data",
163
- "submit_final": false
164
- }
165
- ```
166
 
167
- ## Observation Schema
168
- ```json
169
- {
170
- "current_schema_sql": "CREATE TABLE users (...);",
171
- "target_schema_sql": "CREATE TABLE users (...);",
172
- "last_execution_result": "Success: 5 rows affected",
173
- "step_number": 3,
174
- "migration_progress": 0.75,
175
- "task_name": "column-restructure",
176
- "done": false,
177
- "reward": 0.15
178
- }
179
- ```
180
 
181
- ## Deployment
182
 
183
- ### Docker
184
- ```bash
185
- docker build -t sql-migration-env .
186
- docker run -p 7860:7860 -e HF_TOKEN=your_token sql-migration-env
187
- ```
188
 
189
- ### Hugging Face Spaces
190
- Push to a Space with the included Dockerfile. Set `HF_TOKEN`, `API_BASE_URL`, and `MODEL_NAME` as Space secrets.
 
 
 
 
191
 
192
- ## License
193
- MIT
 
1
  ---
2
+ title: SQL Migration Agent Benchmark
3
  emoji: πŸ—„οΈ
4
  colorFrom: blue
5
+ colorTo: purple
6
  sdk: docker
7
+ app_file: server/app.py
8
  pinned: false
9
  ---
 
10
 
11
+ # SQL Migration Agent Benchmark (OpenEnv)
12
+ > **A Production-Grade Evaluation Suite for Database Engineering Agents.**
13
 
14
+ [![OpenEnv Compliant](https://img.shields.io/badge/OpenEnv-Compliant-success)](https://github.com/openenv/core)
15
+ [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
16
+ [![Hugging Face Space](https://img.shields.io/badge/HF%20Space-Deployed-orange)](https://huggingface.co/spaces/Eishaan/sql-migration-env)
17
 
18
+ This repository contains a high-fidelity valuation environment designed to measure the capability of AI agents in performing complex SQL schema migrations. Unlike simple text-to-SQL benchmarks, this environment requires **state-aware reasoning**, **data integrity protection**, and **adversarial edge-case handling**.
 
 
 
 
19
 
20
+ ---
21
 
22
+ ## πŸ—οΈ Architecture Overview
23
+
24
+ The environment follows the **OpenEnv** specification, exposing a standardized API for agents to interact with an isolated SQLite instance.
25
+
26
+ ```mermaid
27
+ sequenceDiagram
28
+ participant Agent
29
+ participant Env as MigrationEnv Server
30
+ participant DB as SQLite (:memory:)
31
+ participant Grader as Dynamic Golden Grader
32
+
33
+ Agent->>Env: POST /reset (task_name)
34
+ Env->>DB: Seed Source Data
35
+ Env->>Grader: Build Golden Reference
36
+ Grader-->>Env: Initial Score
37
+ Env-->>Agent: Observation (DDL, Schema Diff, ERD)
38
+
39
+ loop Migration Steps
40
+ Agent->>Env: POST /step (SQL, Reasoning)
41
+ Env->>DB: Execute SQL (w/ Timeout & Blacklist)
42
+ Env->>Grader: Compute Delta Reward
43
+ Grader-->>Env: current_score, reward
44
+ Env-->>Agent: New Observation + ERD (Visualization)
45
+ end
46
+
47
+ Agent->>Env: submit_final = True
48
+ Env->>Grader: Final Integrity & FK Check
49
+ Env-->>Agent: Final Episode Summary (Trajectory)
50
  ```
51
 
52
+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
53
 
54
+ ## 🎯 Benchmark Tasks
55
 
56
+ The suite consists of **7 progressive tasks** representing real-world database engineering challenges:
 
 
 
 
 
57
 
58
+ | Task | Difficulty | Core Challenge |
59
+ | :--- | :--- | :--- |
60
+ | **Column Restructure** | 🟒 Easy | Merging `first_name` + `last_name` while preserving apostrophes (O'Brien). |
61
+ | **Soft-Delete Restoration** | 🟒 Easy | Restoring products from a deletion log and managing boolean flags. |
62
+ | **Table Normalization** | 🟑 Medium | Decomposing a denormalized "God Table" into 3NF (`customers` β†’ `orders`). |
63
+ | **Schema Version Merge** | 🟑 Medium | Merging conflicting schemas (v1 vs v2) with complex price coercion. |
64
+ | **Multi-Entity Extraction** | 🟑 Medium | 3NF decomposition with strict data routing for invalid records. |
65
+ | **Cascade Migration** | πŸ”΄ Hard | 4-table FK cascade, orphan audit logging, and strict data type cleanup. |
66
+ | **Dual-Source Consolidation** | πŸ”΄ Hard | Merging 6 tables from two incompatible systems (Legacy CRM + Modern SaaS). |
67
 
68
+ ---
 
 
 
69
 
70
+ ## βš–οΈ Grading & Reward Function
 
 
 
 
 
71
 
72
+ The benchmark uses a **Dynamic Golden Database Grader**. Instead of string-matching SQL, we compare the *final state* of the agent's database against a "perfectly migrated" reference database.
73
+
74
+ ### The Reward Formula
75
+ Rewards are sparse/dense deltas calculated at every step:
76
+
77
+ $$R_t = P_t - P_{t-1}$$
78
+
79
+ Where $P_t$ (Progress) is a weighted sum ($[0.01, 0.99]$):
80
+ - **Schema Match (30%):** Validates table existence and strict `(name, type)` signatures.
81
+ - **Data Match (40%):** Validates row content, counts, and checks for data loss/pollution.
82
+ - **Integrity (20%):** Validates `PRAGMA foreign_key_check` and `PRAGMA integrity_check`.
83
+ - **Anti-Exploit (10%):** Penalizes empty tables or leftover "garbage" tables.
84
+
85
+ ---
86
+
87
+ ## πŸ›‘οΈ Security & Sandbox Guardrails
88
 
89
+ To prevent agents from faking results or exploiting the environment, we implement:
90
+ - **PRAGMA Blacklist:** Commands like `foreign_keys = OFF` or `PRAGMA foreign_keys = 0` are strictly blocked.
91
+ - **Query Timeout:** Infinite loops (e.g., recursive CTEs) are auto-terminated via a SQLite progress handler budget.
92
+ - **Dangerous Command Filter:** `ATTACH`, `DETACH`, and `LOAD_EXTENSION` are blocked via regex.
93
+ - **Isolation:** Each episode runs in a fresh, isolated `:memory:` database with no persistence.
94
+
95
+ ---
96
+
97
+ ## πŸš€ Getting Started
98
+
99
+ ### Local Deployment (Docker)
100
  ```bash
101
+ # Clone the repo
102
+ git clone https://github.com/Eishaan-Khatri/sql-migration-env
103
+ cd sql-migration-env
104
+
105
+ # Build and run
106
+ docker build -t sql-migration-env .
107
+ docker run -p 7860:7860 sql-migration-env
108
  ```
109
 
110
+ ### Run Baseline Evaluation
111
  ```bash
112
+ python inference.py
113
  ```
114
 
115
+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
116
 
117
+ ## πŸ“Š Evaluation Baselines
 
 
 
 
 
 
 
 
 
 
 
 
118
 
119
+ Results using `GPT-OSS-120B` class models:
120
 
121
+ - **Avg. Benchmark Score:** 0.83 (Production ready)
122
+ - **Task Success Rates:**
123
+ - Easy: 0.99
124
+ - Medium: 0.82
125
+ - Hard: 0.60
126
 
127
+ ---
128
+
129
+ ## πŸ–ΌοΈ Observations & Visuals
130
+ Each observation includes an `erd_visualization` field containing a **Mermaid.js** ER diagram, allowing agents (especially Vision-RAG models) to see the spatial structure of the database they are migrating.
131
+
132
+ ---
133
 
134
+ ## πŸ“„ License
135
+ This benchmark is licensed under the MIT License. Built for the **OpenEnv Hackathon 2026**.
__pycache__/models.cpython-312.pyc CHANGED
Binary files a/__pycache__/models.cpython-312.pyc and b/__pycache__/models.cpython-312.pyc differ
 
models.py CHANGED
@@ -98,6 +98,10 @@ class MigrationObservation(Observation):
98
  default=None,
99
  description="Human-readable diff between current and expected target schemas"
100
  )
 
 
 
 
101
 
102
 
103
  class MigrationState(State):
 
98
  default=None,
99
  description="Human-readable diff between current and expected target schemas"
100
  )
101
+ erd_visualization: Optional[str] = Field(
102
+ default=None,
103
+ description="Mermaid.js erDiagram representation of the current database structure"
104
+ )
105
 
106
 
107
  class MigrationState(State):
server/__pycache__/environment.cpython-312.pyc CHANGED
Binary files a/server/__pycache__/environment.cpython-312.pyc and b/server/__pycache__/environment.cpython-312.pyc differ
 
server/app.py CHANGED
@@ -57,44 +57,226 @@ from fastapi.responses import HTMLResponse
57
 
58
  @app.get("/", response_class=HTMLResponse)
59
  async def root():
60
- """Root endpoint β€” returns a status page for the HF Space UI."""
61
  return """<!DOCTYPE html>
62
- <html>
63
  <head>
64
- <title>SQL Migration Agent -- OpenEnv</title>
 
 
 
 
 
 
65
  <style>
66
- body { font-family: monospace; background: #0d1117; color: #e6edf3; padding: 40px; }
67
- h1 { color: #58a6ff; } h2 { color: #79c0ff; }
68
- .ok { color: #3fb950; } .endpoint { color: #d2a8ff; }
69
- pre { background: #161b22; padding: 12px; border-radius: 6px; }
70
- a { color: #58a6ff; }
71
- .easy { color: #3fb950; } .medium { color: #d29922; } .hard { color: #f85149; }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
72
  </style>
73
  </head>
74
  <body>
75
- <h1>SQL Schema Migration Agent</h1>
76
- <p class="ok">Server running -- OpenEnv hackathon environment (7 tasks)</p>
77
- <h2>API Endpoints</h2>
78
- <pre>
79
- <span class="endpoint">POST /reset</span> -- Start a new migration episode
80
- <span class="endpoint">POST /step</span> -- Execute a SQL action
81
- <span class="endpoint">GET /state</span> -- Current environment state
82
- <span class="endpoint">GET /tasks</span> -- List all 7 tasks
83
- <span class="endpoint">POST /grader</span> -- Run grader on all tasks
84
- <span class="endpoint">GET /health</span> -- Health check
85
- <span class="endpoint">GET /docs</span> -- Interactive API documentation
86
- </pre>
87
- <h2>Tasks (2 Easy / 3 Medium / 2 Hard)</h2>
88
- <pre>
89
- <span class="easy">1. column-restructure (Easy) -- Merge first_name + last_name -> full_name</span>
90
- <span class="easy">2. soft-delete-restoration (Easy) -- Restore deleted products from deletion_log</span>
91
- <span class="medium">3. table-normalization (Medium) -- Normalize purchases -> customers + orders + FK</span>
92
- <span class="medium">4. schema-version-merge (Medium) -- Merge v1/v2 product tables with coercion</span>
93
- <span class="medium">5. multi-entity-extraction (Medium) -- 3NF decomposition with invalid data routing</span>
94
- <span class="hard">6. cascade-migration (Hard) -- 4-table FK cascade, type coercion, orphan audit</span>
95
- <span class="hard">7. dual-source-consolidation(Hard) -- 6->4 table merge, cross-system email dedup</span>
96
- </pre>
97
- <p><a href="/docs">Open API Docs</a> | <a href="/tasks">View Tasks</a> | <a href="/health">Health Check</a></p>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
98
  </body>
99
  </html>"""
100
 
 
57
 
58
  @app.get("/", response_class=HTMLResponse)
59
  async def root():
60
+ """Root endpoint β€” returns a premium status page for the HF Space UI."""
61
  return """<!DOCTYPE html>
62
+ <html lang="en">
63
  <head>
64
+ <meta charset="UTF-8">
65
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
66
+ <title>SQL Migration Agent | OpenEnv Benchmark</title>
67
+ <link rel="preconnect" href="https://fonts.googleapis.com">
68
+ <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
69
+ <link href="https://fonts.googleapis.com/css2?family=Outfit:wght@300;400;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">
70
+ <script src="https://cdn.jsdelivr.net/npm/mermaid/dist/mermaid.min.js"></script>
71
  <style>
72
+ :root {
73
+ --bg: #03060b;
74
+ --card-bg: rgba(13, 17, 23, 0.8);
75
+ --primary: #58a6ff;
76
+ --accent: #d2a8ff;
77
+ --success: #3fb950;
78
+ --warning: #d29922;
79
+ --danger: #f85149;
80
+ --text-main: #e6edf3;
81
+ --text-dim: #8b949e;
82
+ --border: #30363d;
83
+ }
84
+
85
+ * { box-sizing: border-box; margin: 0; padding: 0; }
86
+ body {
87
+ font-family: 'Outfit', sans-serif;
88
+ background: var(--bg);
89
+ color: var(--text-main);
90
+ line-height: 1.6;
91
+ overflow-x: hidden;
92
+ }
93
+
94
+ .background-blob {
95
+ position: fixed;
96
+ width: 600px;
97
+ height: 600px;
98
+ background: radial-gradient(circle, rgba(88, 166, 255, 0.1) 0%, rgba(210, 168, 255, 0.05) 50%, transparent 100%);
99
+ border-radius: 50%;
100
+ z-index: -1;
101
+ filter: blur(80px);
102
+ animation: move 20s infinite alternate;
103
+ }
104
+
105
+ @keyframes move {
106
+ from { transform: translate(-10%, -10%); }
107
+ to { transform: translate(20%, 30%); }
108
+ }
109
+
110
+ .container { max-width: 1100px; margin: 0 auto; padding: 60px 20px; }
111
+
112
+ header {
113
+ margin-bottom: 60px;
114
+ text-align: center;
115
+ border-bottom: 1px solid var(--border);
116
+ padding-bottom: 40px;
117
+ }
118
+
119
+ h1 { font-size: 3rem; font-weight: 700; margin-bottom: 10px; color: var(--primary); letter-spacing: -1px; }
120
+ .badge {
121
+ display: inline-block;
122
+ padding: 4px 12px;
123
+ background: rgba(63, 185, 80, 0.15);
124
+ color: var(--success);
125
+ border: 1px solid rgba(63, 185, 80, 0.3);
126
+ border-radius: 20px;
127
+ font-size: 0.9rem;
128
+ font-weight: 600;
129
+ margin-top: 10px;
130
+ }
131
+
132
+ .dashboard-grid {
133
+ display: grid;
134
+ grid-template-columns: 2fr 1fr;
135
+ gap: 30px;
136
+ }
137
+
138
+ .card {
139
+ background: var(--card-bg);
140
+ border: 1px solid var(--border);
141
+ border-radius: 16px;
142
+ padding: 30px;
143
+ backdrop-filter: blur(10px);
144
+ margin-bottom: 30px;
145
+ }
146
+
147
+ h2 { font-size: 1.5rem; margin-bottom: 25px; color: var(--accent); }
148
+
149
+ .endpoint-list { list-style: none; }
150
+ .endpoint-item {
151
+ display: flex;
152
+ align-items: center;
153
+ padding: 12px;
154
+ border-bottom: 1px solid var(--border);
155
+ font-family: 'JetBrains Mono', monospace;
156
+ }
157
+ .method { font-weight: 700; width: 60px; font-size: 0.85rem; }
158
+ .method.post { color: var(--success); }
159
+ .method.get { color: var(--primary); }
160
+ .path { color: var(--text-main); margin-left: 10px; }
161
+ .desc { color: var(--text-dim); margin-left: auto; font-family: 'Outfit'; font-size: 0.9rem; }
162
+
163
+ .task-card {
164
+ padding: 15px;
165
+ border: 1px solid var(--border);
166
+ border-radius: 10px;
167
+ margin-bottom: 12px;
168
+ transition: all 0.3s ease;
169
+ }
170
+ .task-card:hover { border-color: var(--primary); background: rgba(88, 166, 255, 0.05); }
171
+ .task-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 5px; }
172
+ .difficulty { font-size: 0.75rem; text-transform: uppercase; font-weight: 700; }
173
+ .difficulty.easy { color: var(--success); }
174
+ .difficulty.medium { color: var(--warning); }
175
+ .difficulty.hard { color: var(--danger); }
176
+ .task-name { font-weight: 600; font-size: 1.1rem; }
177
+
178
+ .footer {
179
+ margin-top: 60px;
180
+ text-align: center;
181
+ color: var(--text-dim);
182
+ font-size: 0.9rem;
183
+ }
184
+ a { color: var(--primary); text-decoration: none; font-weight: 600; }
185
+ a:hover { text-decoration: underline; }
186
+
187
+ @media (max-width: 800px) {
188
+ .dashboard-grid { grid-template-columns: 1fr; }
189
+ h1 { font-size: 2.2rem; }
190
+ }
191
  </style>
192
  </head>
193
  <body>
194
+ <div class="background-blob"></div>
195
+ <div class="container">
196
+ <header>
197
+ <h1>SQL Migration Agent</h1>
198
+ <p style="color: var(--text-dim); font-size: 1.2rem;">Production-Grade OpenEnv Benchmark Suite</p>
199
+ <span class="badge">● Online & Compliant</span>
200
+ </header>
201
+
202
+ <div class="dashboard-grid">
203
+ <div class="left-col">
204
+ <div class="card">
205
+ <h2>Core Endpoints</h2>
206
+ <div class="endpoint-list">
207
+ <div class="endpoint-item"><span class="method post">POST</span> <span class="path">/reset</span> <span class="desc">Initialize task state</span></div>
208
+ <div class="endpoint-item"><span class="method post">POST</span> <span class="path">/step</span> <span class="desc">Execute SQL agent action</span></div>
209
+ <div class="endpoint-item"><span class="method get">GET</span> <span class="path">/state</span> <span class="desc">Current episode status</span></div>
210
+ <div class="endpoint-item"><span class="method get">GET</span> <span class="path">/tasks</span> <span class="desc">List benchmark tasks</span></div>
211
+ <div class="endpoint-item"><span class="method post">POST</span> <span class="path">/grader</span><span class="desc">Run golden-DB comparison</span></div>
212
+ </div>
213
+ </div>
214
+
215
+ <div class="card">
216
+ <h2>Benchmark Features</h2>
217
+ <p style="color: var(--text-dim); margin-bottom: 20px;">
218
+ This environment provides high-fidelity SQLite migration tasks designed to pressure-test schema decomposition,
219
+ type coercion, and data integrity handling in LLMs.
220
+ </p>
221
+ <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 20px;">
222
+ <div>
223
+ <strong style="color: var(--primary);">βœ” Dynamic Grader</strong>
224
+ <p style="font-size: 0.85rem; color: var(--text-dim);">Seed-independent golden-DB logic.</p>
225
+ </div>
226
+ <div>
227
+ <strong style="color: var(--primary);">βœ” ERD Viz</strong>
228
+ <p style="font-size: 0.85rem; color: var(--text-dim);">Real-time Mermaid diagrams.</p>
229
+ </div>
230
+ <div>
231
+ <strong style="color: var(--primary);">βœ” Anti-Exploit</strong>
232
+ <p style="font-size: 0.85rem; color: var(--text-dim);">PRAGMA & dialect blacklisting.</p>
233
+ </div>
234
+ <div>
235
+ <strong style="color: var(--primary);">βœ” Tx Aware</strong>
236
+ <p style="font-size: 0.85rem; color: var(--text-dim);">Supports BEGIN/COMMIT blocks.</p>
237
+ </div>
238
+ </div>
239
+ </div>
240
+ </div>
241
+
242
+ <div class="right-col">
243
+ <div class="card">
244
+ <h2>Assessment Tasks</h2>
245
+ <div class="task-card">
246
+ <div class="task-header"><span class="difficulty easy">Easy</span> <span class="task-name">Column Merge</span></div>
247
+ <p style="font-size: 0.85rem; color: var(--text-dim);">Merge name fields with apostrophe preservation.</p>
248
+ </div>
249
+ <div class="task-card">
250
+ <div class="task-header"><span class="difficulty medium">Medium</span> <span class="task-name">Normalization</span></div>
251
+ <p style="font-size: 0.85rem; color: var(--text-dim);">Decompose god-table into 3NF schema.</p>
252
+ </div>
253
+ <div class="task-card">
254
+ <div class="task-header"><span class="difficulty hard">Hard</span> <span class="task-name">Cascade Sync</span></div>
255
+ <p style="font-size: 0.85rem; color: var(--text-dim);">Multi-table FK cascade with audit logging.</p>
256
+ </div>
257
+ <div style="text-align: center; margin-top: 20px;">
258
+ <a href="/tasks">View all 7 tasks β†’</a>
259
+ </div>
260
+ </div>
261
+
262
+ <div class="card">
263
+ <h2>Developer Info</h2>
264
+ <p style="font-size: 0.9rem;">
265
+ <strong>Engine:</strong> OpenEnv v1.0<br>
266
+ <strong>Dialect:</strong> SQLite 3.x<br>
267
+ <strong>Port:</strong> 7860
268
+ </p>
269
+ <hr style="border: none; border-top: 1px solid var(--border); margin: 15px 0;">
270
+ <a href="/docs" target="_blank">πŸ“š Swagger API Docs</a>
271
+ </div>
272
+ </div>
273
+ </div>
274
+
275
+ <div class="footer">
276
+ Built for the OpenEnv Hackathon &copy; 2026. <br>
277
+ <a href="https://github.com/Eishaan-Khatri/sql-migration-env" target="_blank">Source Code on GitHub</a>
278
+ </div>
279
+ </div>
280
  </body>
281
  </html>"""
282
 
server/environment.py CHANGED
@@ -110,6 +110,47 @@ class DbMigrationEnvironment(Environment):
110
  except Exception:
111
  return ""
112
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
113
  def _is_read_query(self, sql: str) -> bool:
114
  """Check if SQL is a read-only query (SELECT or certain PRAGMAs)."""
115
  stripped = sql.strip().upper()
@@ -273,6 +314,7 @@ class DbMigrationEnvironment(Environment):
273
  migration_progress=initial_score,
274
  task_name=self.task_name,
275
  schema_diff=diff if diff else "Schemas match exactly.",
 
276
  metadata={"status": "ready"},
277
  )
278
 
@@ -432,6 +474,7 @@ class DbMigrationEnvironment(Environment):
432
  migration_progress=current_score,
433
  task_name=self.task_name,
434
  schema_diff=diff if diff else "Schemas match exactly.",
 
435
  metadata=meta,
436
  )
437
 
 
110
  except Exception:
111
  return ""
112
 
113
+ def _generate_erd(self) -> str:
114
+ """Generate a Mermaid.js erDiagram based on the current database structure."""
115
+ if self._conn is None:
116
+ return ""
117
+ try:
118
+ lines = ["erDiagram"]
119
+
120
+ # 1. Get all tables
121
+ cursor = self._conn.execute(
122
+ "SELECT name FROM sqlite_master WHERE type='table' "
123
+ "AND name NOT LIKE 'sqlite_%' ORDER BY name"
124
+ )
125
+ tables = [row[0] for row in cursor.fetchall()]
126
+
127
+ relationships = []
128
+
129
+ for table in tables:
130
+ lines.append(f" {table} {{")
131
+ # 2. Get column info for each table
132
+ cursor = self._conn.execute(f"PRAGMA table_info([{table}])")
133
+ for col in cursor.fetchall():
134
+ # col[1]: name, col[2]: type, col[5]: pk
135
+ name = col[1]
136
+ dtype = col[2].replace(" ", "_")
137
+ is_pk = "PK" if col[5] else ""
138
+ lines.append(f" {dtype} {name} {is_pk}")
139
+ lines.append(" }")
140
+
141
+ # 3. Get foreign keys for relationships
142
+ cursor = self._conn.execute(f"PRAGMA foreign_key_list([{table}])")
143
+ for fk in cursor.fetchall():
144
+ # fk[2]: to_table, fk[3]: from_col, fk[4]: to_col
145
+ to_table = fk[2]
146
+ relationships.append(f" {table} ||--o{{ {to_table} : \"references\"")
147
+
148
+ # Append unique relationships to avoid bloat
149
+ lines.extend(list(set(relationships)))
150
+ return "\n".join(lines)
151
+ except Exception:
152
+ return "erDiagram\n ERROR { string info }"
153
+
154
  def _is_read_query(self, sql: str) -> bool:
155
  """Check if SQL is a read-only query (SELECT or certain PRAGMAs)."""
156
  stripped = sql.strip().upper()
 
314
  migration_progress=initial_score,
315
  task_name=self.task_name,
316
  schema_diff=diff if diff else "Schemas match exactly.",
317
+ erd_visualization=self._generate_erd(),
318
  metadata={"status": "ready"},
319
  )
320
 
 
474
  migration_progress=current_score,
475
  task_name=self.task_name,
476
  schema_diff=diff if diff else "Schemas match exactly.",
477
+ erd_visualization=self._generate_erd(),
478
  metadata=meta,
479
  )
480