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30cf758 6518b31 30cf758 6518b31 30cf758 8e7c622 30cf758 8e7c622 30cf758 8e7c622 30cf758 d061422 30cf758 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 | """
Core SQL Debug Environment.
Manages episode state, delegates to tasks and reward function.
"""
import uuid
import asyncio
from typing import Optional, Dict, Any, List
from .models import (
SQLDebugAction, SQLDebugObservation, SQLDebugReward,
EpisodeState, ActionType, QueryResult, SchemaInfo
)
from .database import EpisodeDatabase
from .reward import compute_reward
from .tasks.task_easy import EasyTask
from .tasks.task_medium import MediumTask, MediumTaskGrader
from .tasks.task_hard import HardTask
from .tasks.task_finance_explosion import FinanceExplosionTask
TASKS = {
"easy_syntax_fix": EasyTask(),
"medium_logic_fix": MediumTask(),
"hard_multi_bug": HardTask(),
"hard_finance_explosion": FinanceExplosionTask(),
}
STRICT_MIN_SCORE = 0.001
class SQLDebugEnv:
"""
The SQL Debug Environment.
Manages one active episode at a time per session.
Thread-safe for concurrent sessions via instance-per-session pattern.
"""
def __init__(self, task_id: str = "easy_syntax_fix"):
self.task_id = task_id
self.task = TASKS[task_id]
self._db: Optional[EpisodeDatabase] = None
self._state: Optional[EpisodeState] = None
self._lock = asyncio.Lock()
async def reset(self) -> tuple[SQLDebugObservation, Dict]:
"""Reset environment to initial state. Returns (observation, info)."""
async with self._lock:
# Close previous DB if exists
if self._db:
self._db.close()
# Fresh DB
self._db = EpisodeDatabase(
task_id=self.task.task_id,
schema_sql=self.task.schema_sql,
seed_data_sql=self.task.seed_data_sql
)
# Fresh state
self._state = EpisodeState(
task_id=self.task.task_id,
task_difficulty=self.task.difficulty,
original_query=self.task.broken_query,
current_query=None,
best_score_so_far=STRICT_MIN_SCORE,
steps_taken=0,
max_steps=self.task.max_steps,
action_history=[],
reward_history=[],
is_done=False,
success=False,
db_schema=self._db.get_schema()
)
obs = SQLDebugObservation(
task_id=self.task.task_id,
task_description=self.task.description,
original_query=self.task.broken_query,
current_query=None,
expected_description=self.task.expected_output_description,
last_action_type="reset",
last_query_result=None,
steps_taken=0,
steps_remaining=self.task.max_steps,
current_score=STRICT_MIN_SCORE,
schema_info=SchemaInfo(tables=self._db.get_schema()),
is_done=False,
success=False
)
return obs, {"task": self.task.to_dict()}
async def step(self, action: SQLDebugAction) -> tuple[SQLDebugObservation, float, bool, Dict]:
"""
Execute one action.
Returns (observation, reward_value, done, info)
"""
async with self._lock:
if self._state is None:
raise RuntimeError("Call reset() before step()")
if self._state.is_done:
raise RuntimeError("Episode is done. Call reset() to start new episode.")
self._state.steps_taken += 1
steps_taken = self._state.steps_taken
query_result_raw = None
prev_best_score = self._state.best_score_so_far
grade_score = self._state.best_score_so_far
schema_info = None
error_details = None
sample_rows = None
hint = None
# --- Execute action ---
if action.action_type == ActionType.SUBMIT_QUERY:
if not action.query:
raise ValueError("query is required for submit_query action")
self._state.current_query = action.query
query_result_raw = self._db.execute_query(action.query)
# Grade the result
actual_rows = query_result_raw.get("rows") if query_result_raw.get("success") else None
# Use custom grader for medium task
if self.task.task_id == "medium_logic_fix":
grade_score = MediumTaskGrader.grade(actual_rows or [])
else:
grade_score = self.task.grade(actual_rows)
if grade_score > self._state.best_score_so_far:
self._state.best_score_so_far = grade_score
elif action.action_type == ActionType.INSPECT_SCHEMA:
schema = self._db.get_schema()
schema_info = SchemaInfo(tables=schema)
grade_score = self._state.best_score_so_far
elif action.action_type == ActionType.INSPECT_ERROR:
# Return last error if available
if self._state.action_history:
last = self._state.action_history[-1]
error_details = last.get("error_message", "No error recorded from last query.")
else:
error_details = "No query has been submitted yet."
grade_score = self._state.best_score_so_far
elif action.action_type == ActionType.INSPECT_SAMPLE:
if not action.table_name:
raise ValueError("table_name required for inspect_sample")
sample_rows = self._db.get_sample_rows(action.table_name)
grade_score = self._state.best_score_so_far
elif action.action_type == ActionType.RESET_QUERY:
self._state.current_query = self.task.broken_query
grade_score = self._state.best_score_so_far
# --- Compute reward ---
schema_tables = list(self._db.get_schema().keys())
reward_obj = compute_reward(
action_type=action.action_type.value,
query_result=query_result_raw,
grade_score=grade_score,
steps_taken=steps_taken,
max_steps=self.task.max_steps,
previous_best_score=prev_best_score,
schema_tables=schema_tables,
submitted_query=action.query if action.action_type == ActionType.SUBMIT_QUERY else None
)
# --- Check done conditions ---
is_done = False
success = False
if grade_score >= 0.95:
is_done = True
success = True
elif steps_taken >= self.task.max_steps:
is_done = True
success = self._state.best_score_so_far >= 0.5
self._state.is_done = is_done
self._state.success = success
# --- Hint logic ---
hint_threshold = 3 if self.task.difficulty == "easy" else 5
if steps_taken >= hint_threshold:
hint = self.task.hint
# --- Record history ---
self._state.action_history.append({
"step": steps_taken,
"action_type": action.action_type.value,
"query": action.query,
"grade_score": grade_score,
"reward": reward_obj.value,
"error_message": query_result_raw.get("error_message") if query_result_raw else None
})
self._state.reward_history.append(reward_obj.value)
# --- Build observation ---
qr = QueryResult(**query_result_raw) if query_result_raw else None
obs = SQLDebugObservation(
task_id=self.task.task_id,
task_description=self.task.description,
original_query=self.task.broken_query,
current_query=self._state.current_query,
expected_description=self.task.expected_output_description,
last_action_type=action.action_type.value,
last_query_result=qr,
steps_taken=steps_taken,
steps_remaining=max(0, self.task.max_steps - steps_taken),
current_score=self._state.best_score_so_far,
schema_info=schema_info,
error_details=error_details,
sample_rows=sample_rows,
hint=hint,
is_done=is_done,
success=success
)
return obs, reward_obj.value, is_done, {
"grade_score": grade_score,
"reward_breakdown": reward_obj.breakdown,
"success": success,
"steps_taken": steps_taken
}
def to_observation(
self,
*,
last_action_type: str,
last_query_result: Optional[QueryResult] = None,
schema_info: Optional[SchemaInfo] = None,
error_details: Optional[str] = None,
sample_rows: Optional[List[Dict[str, Any]]] = None,
hint: Optional[str] = None,
) -> SQLDebugObservation:
"""
Build an observation from the current state without mutating the episode.
Useful for endpoints that want to return an observation (e.g. reviewer rejection)
without actually executing an action.
"""
if self._state is None:
raise RuntimeError("Call reset() first")
return SQLDebugObservation(
task_id=self.task.task_id,
task_description=self.task.description,
original_query=self.task.broken_query,
current_query=self._state.current_query,
expected_description=self.task.expected_output_description,
last_action_type=last_action_type,
last_query_result=last_query_result,
steps_taken=self._state.steps_taken,
steps_remaining=max(0, self.task.max_steps - self._state.steps_taken),
current_score=self._state.best_score_so_far,
schema_info=schema_info,
error_details=error_details,
sample_rows=sample_rows,
hint=hint,
is_done=self._state.is_done,
success=self._state.success,
)
def get_state(self) -> EpisodeState:
if self._state is None:
raise RuntimeError("Call reset() first")
return self._state
def close(self):
if self._db:
self._db.close()
self._db = None
|