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Custom Gradio UI for the SQL Query Writing Environment.
Provides an interactive playground where users can:
- Select task difficulty
- See the database schema
- Write and submit SQL queries
- View graded results with reward breakdowns
- Track progress through questions
"""
import gradio as gr
import os
import json
from pathlib import Path
# We use the environment directly (not HTTP) for the Gradio UI
import sys
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
from server.sql_env_environment import SQLEnvironment, _load_task
from server.database import Database
from server.graders import grade_query
from models import SQLAction
def create_gradio_app() -> gr.Blocks:
"""Create a custom Gradio Blocks app for the SQL environment."""
# Shared state
env_state = {"env": None, "task_name": "basic_select"}
def reset_env(task_name):
"""Reset environment with selected task."""
os.environ["SQL_ENV_TASK"] = task_name
env = SQLEnvironment()
obs = env.reset()
env_state["env"] = env
env_state["task_name"] = task_name
task = _load_task(task_name)
difficulty = task.get("difficulty", "unknown")
status = f"**Task:** {task_name} ({difficulty}) | **Question 1/{obs.total_questions}** | **Attempts left:** {obs.steps_remaining}"
return (
obs.question,
obs.schema_description,
"", # clear query input
"", # clear result
"", # clear feedback
"0.0", # reward
status,
_build_progress_html(0, obs.total_questions, []),
)
def submit_query(query, question_text):
"""Submit a SQL query and get graded results."""
env = env_state.get("env")
if env is None:
return (
question_text,
"Please click 'Start Task' first!",
"Environment not initialized",
"0.0",
"**Error:** Not initialized",
"",
)
obs = env.step(SQLAction(query=query))
feedback = obs.metadata.get("feedback", "")
reward_display = round(obs.reward) # show 0 or 1
# Color the reward
if reward_display == 1:
reward_html = f'<span style="color:#22c55e;font-size:2em;font-weight:bold">{reward_display}</span>'
else:
reward_html = f'<span style="color:#ef4444;font-size:2em;font-weight:bold">{reward_display}</span>'
if obs.done:
rewards = obs.metadata.get("rewards", [])
total = obs.metadata.get("total_reward", sum(rewards))
status = f"**Episode Complete!** | **Total Reward:** {round(total)} | **Steps:** {len(rewards)}"
next_question = "All questions answered! Click 'Start Task' to try again."
progress = _build_progress_html(len(rewards), obs.total_questions, rewards)
else:
status = f"**Task:** {env_state['task_name']} | **Question {obs.question_index}/{obs.total_questions}** | **Attempts left:** {obs.steps_remaining}"
next_question = obs.question
# Collect rewards from episode so far
rewards = env._rewards
progress = _build_progress_html(obs.question_index - 1, obs.total_questions, rewards)
result_display = obs.query_result if obs.query_result else "(no output)"
if obs.error:
result_display = f"ERROR: {obs.error}\n\n{result_display}"
return (
next_question,
result_display,
feedback,
reward_html,
status,
progress,
)
def run_ground_truth(task_name):
"""Run all ground truth queries for demo purposes."""
os.environ["SQL_ENV_TASK"] = task_name
env = SQLEnvironment()
obs = env.reset()
task = _load_task(task_name)
results = []
for q in task["questions"]:
obs = env.step(SQLAction(query=q["ground_truth_sql"]))
results.append(f"**Q{len(results)+1}:** {q['question'][:80]}...\n- SQL: `{q['ground_truth_sql'][:100]}...`\n- Reward: **{round(obs.reward)}**\n")
total = sum(env._rewards)
results.append(f"\n---\n**Total: {round(total)} / {len(task['questions'])}**")
return "\n".join(results)
def preview_schema():
"""Show the database schema."""
db = Database()
db.initialize()
schema = db.get_schema_description()
db.close()
return schema
def _build_progress_html(current_q, total_q, rewards):
"""Build a visual progress bar."""
bars = []
for i in range(total_q):
if i < len(rewards):
r = rewards[i] if i < len(rewards) else 0
if r >= 0.9:
color = "#22c55e"
elif r >= 0.5:
color = "#eab308"
else:
color = "#ef4444"
bars.append(f'<div style="display:inline-block;width:18%;height:30px;background:{color};margin:1%;border-radius:4px;text-align:center;line-height:30px;color:white;font-weight:bold">Q{i+1}: {round(r)}</div>')
elif i == len(rewards):
bars.append(f'<div style="display:inline-block;width:18%;height:30px;background:#3b82f6;margin:1%;border-radius:4px;text-align:center;line-height:30px;color:white;font-weight:bold">Q{i+1} ▶</div>')
else:
bars.append(f'<div style="display:inline-block;width:18%;height:30px;background:#374151;margin:1%;border-radius:4px;text-align:center;line-height:30px;color:#9ca3af">Q{i+1}</div>')
return "<div style='margin:10px 0'>" + "".join(bars) + "</div>"
# Build the Gradio interface
with gr.Blocks(title="SQLEnv — SQL Query Writing Environment") as app:
gr.Markdown("""
# 🗃️ SQLEnv — SQL Query Writing Environment
Write SQL queries to answer natural language questions about an e-commerce database.
Get graded with partial-credit scoring — syntax, columns, rows, and exact match.
""")
with gr.Row():
with gr.Column(scale=1):
task_selector = gr.Dropdown(
choices=["basic_select", "join_aggregate", "advanced_analytics"],
value="basic_select",
label="Select Task Difficulty",
)
start_btn = gr.Button("🚀 Start Task", variant="primary", size="lg")
status_md = gr.Markdown("Click **Start Task** to begin")
progress_html = gr.HTML("")
reward_html = gr.HTML('<span style="color:#666;font-size:2em">—</span>')
gr.Markdown("---")
feedback_box = gr.Textbox(label="Grader Feedback", lines=3, interactive=False)
with gr.Column(scale=2):
question_box = gr.Textbox(
label="Question",
lines=2,
interactive=False,
placeholder="Start a task to see the question...",
)
query_input = gr.Textbox(
label="Your SQL Query",
lines=5,
placeholder="SELECT name, age FROM customers WHERE age > 30 ORDER BY age DESC",
elem_classes=["query-input"],
)
submit_btn = gr.Button("▶ Execute & Grade", variant="primary", size="lg")
result_box = gr.Textbox(
label="Query Result",
lines=10,
interactive=False,
elem_classes=["result-output"],
)
with gr.Accordion("📋 Database Schema", open=False):
schema_box = gr.Textbox(
label="Schema",
lines=20,
interactive=False,
elem_classes=["result-output"],
)
with gr.Accordion("🏆 Run Ground Truth Demo", open=False):
gr.Markdown("See how perfect SQL queries score on each task:")
with gr.Row():
demo_task = gr.Dropdown(
choices=["basic_select", "join_aggregate", "advanced_analytics"],
value="basic_select",
label="Task",
)
demo_btn = gr.Button("Run Demo")
demo_output = gr.Markdown("")
# Event handlers
start_btn.click(
fn=reset_env,
inputs=[task_selector],
outputs=[question_box, schema_box, query_input, result_box, feedback_box, reward_html, status_md, progress_html],
)
submit_btn.click(
fn=submit_query,
inputs=[query_input, question_box],
outputs=[question_box, result_box, feedback_box, reward_html, status_md, progress_html],
)
# Also submit on Enter (Shift+Enter for newline)
query_input.submit(
fn=submit_query,
inputs=[query_input, question_box],
outputs=[question_box, result_box, feedback_box, reward_html, status_md, progress_html],
)
demo_btn.click(
fn=run_ground_truth,
inputs=[demo_task],
outputs=[demo_output],
)
return app
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