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d103a0f | 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 | import sqlite3
from typing import Optional
from .models import Action, Observation, StepResult, EnvState, QueryResult
from .database import create_database, seed_database, get_schema_summary
from .reward import RewardCalculator
from .tasks import TASKS
class SQLAnalystEnv:
"""
OpenEnv-compliant SQL Data Analyst environment.
An agent must answer business questions by iteratively
writing and executing SQL queries.
"""
def __init__(self, task_id: str = "monthly_signups"):
assert task_id in TASKS, f"Unknown task: {task_id}. Choose from {list(TASKS)}"
self.task_id = task_id
self.task = TASKS[task_id]
self.conn: Optional[sqlite3.Connection] = None
self.step_count: int = 0
self.total_reward: float = 0.0
self.done: bool = False
self._query_history: list = []
self._reward_calc = RewardCalculator()
def reset(self) -> StepResult:
"""Reset environment. Reseed DB. Return initial observation."""
if self.conn:
self.conn.close()
self.conn = create_database()
seed_database(self.conn)
self.step_count = 0
self.total_reward = 0.0
self.done = False
self._query_history = []
self.task.compute_ground_truth(self.conn)
obs = Observation(
schema_summary=get_schema_summary(self.conn),
question=self.task.question,
step=0,
max_steps=self.task.max_steps,
)
return StepResult(observation=obs, reward=0.0, done=False)
def step(self, action: Action) -> StepResult:
"""Execute one agent action. Return (observation, reward, done, info)."""
assert self.conn is not None, "Call reset() before step()"
assert not self.done, "Episode is done. Call reset()."
assert action.is_valid(), (
"Action must have exactly one of: sql_query, submit_answer"
)
self.step_count += 1
query_result = None
error = None
if action.sql_query:
query_result = self._execute_sql(action.sql_query)
self._query_history.append(action.sql_query)
error = query_result.error
terminal = (
action.submit_answer is not None or self.step_count >= self.task.max_steps
)
reward = self._reward_calc.calculate(
action=action,
result=query_result,
task=self.task,
step=self.step_count,
query_history=self._query_history,
terminal=terminal,
)
self.total_reward += reward
self.done = terminal
obs = Observation(
schema_summary=get_schema_summary(self.conn),
question=self.task.question,
last_query=action.sql_query,
last_result=query_result,
last_error=error,
step=self.step_count,
max_steps=self.task.max_steps,
hints=self.task.get_hints(self.step_count),
done=self.done,
)
return StepResult(
observation=obs,
reward=round(reward, 3),
done=self.done,
info={
"step": self.step_count,
"total_reward": round(self.total_reward, 3),
"task_id": self.task_id,
},
)
def state(self) -> EnvState:
"""Return current full state of the environment."""
return EnvState(
task_id=self.task_id,
difficulty=self.task.difficulty,
step=self.step_count,
max_steps=self.task.max_steps,
query_history=self._query_history.copy(),
total_reward=round(self.total_reward, 3),
done=self.done,
)
def _execute_sql(self, query: str) -> QueryResult:
"""Execute SQL safely. Block non-SELECT. Return up to 50 rows."""
q = query.strip().upper()
if not q.startswith("SELECT") and not q.startswith("WITH"):
return QueryResult(error="Only SELECT / WITH queries are allowed.")
try:
cursor = self.conn.execute(query)
cols = [d[0] for d in cursor.description] if cursor.description else []
rows = cursor.fetchmany(50)
total = len(rows)
return QueryResult(
columns=cols,
rows=[list(r) for r in rows],
truncated=(total == 50),
total_rows=total,
)
except Exception as e:
return QueryResult(error=str(e))
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