File size: 4,270 Bytes
5dd1bb4 | 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 | """Integration tests for type-aware answer verification in SQLEnvironment."""
import json
import sqlite3
import pytest
from sql_env.models import QuestionRecord, SQLAction
from sql_env.server.sql_environment import SQLEnvironment
from sql_env.server.test_sql_env import MockTokenizer
@pytest.fixture
def env(tmp_path):
db_id = "integration_db"
db_root = tmp_path / "databases"
db_dir = db_root / db_id
db_dir.mkdir(parents=True)
db_path = db_dir / f"{db_id}.sqlite"
connection = sqlite3.connect(db_path)
cursor = connection.cursor()
cursor.execute(
"CREATE TABLE employees (id INTEGER PRIMARY KEY, name TEXT, dept TEXT, salary REAL)"
)
cursor.execute("CREATE TABLE departments (name TEXT)")
cursor.executemany(
"INSERT INTO employees (id, name, dept, salary) VALUES (?, ?, ?, ?)",
[
(1, "Alice", "Engineering", 99.5),
(2, "Bob", "Engineering", 100.0),
(3, "Cara", "Sales", 100.5),
],
)
cursor.executemany(
"INSERT INTO departments (name) VALUES (?)",
[("Alice",), ("Bob",)],
)
connection.commit()
connection.close()
questions_path = tmp_path / "questions.json"
questions_path.write_text(
json.dumps(
[
{
"question": "Placeholder",
"db_id": db_id,
"query": "SELECT 1",
}
]
),
encoding="utf-8",
)
return SQLEnvironment(
questions_path=str(questions_path),
db_dir=str(db_root),
tokenizer=MockTokenizer(),
)
def _set_single_question(env: SQLEnvironment, *, sql: str, answer_type: str | None) -> None:
env.questions = [
QuestionRecord(
question_id="q-0",
question_text="Integration check",
database_name="integration_db",
gold_sql=sql,
gold_answer="",
answer_type=answer_type if answer_type is not None else "string",
difficulty="easy",
tables_involved=[],
)
]
if answer_type is None:
env.questions[0].answer_type = None
def test_integer_answer_flow(env):
_set_single_question(
env,
sql="SELECT COUNT(*) FROM employees",
answer_type="integer",
)
env.reset(seed=1)
observation = env.step(SQLAction(action_type="ANSWER", argument="3.0"))
assert observation.done is True
assert observation.reward == 1.0
def test_float_answer_flow(env):
_set_single_question(
env,
sql="SELECT AVG(salary) FROM employees",
answer_type="float",
)
env.reset(seed=1)
observation = env.step(SQLAction(action_type="ANSWER", argument="100.0"))
assert observation.done is True
assert observation.reward == 1.0
def test_string_answer_flow(env):
_set_single_question(
env,
sql="SELECT dept FROM employees WHERE id = 1",
answer_type="string",
)
env.reset(seed=1)
observation = env.step(SQLAction(action_type="ANSWER", argument=" engineering "))
assert observation.done is True
assert observation.reward == 1.0
def test_list_answer_flow(env):
_set_single_question(
env,
sql="SELECT name FROM departments ORDER BY name",
answer_type="list",
)
env.reset(seed=1)
observation = env.step(SQLAction(action_type="ANSWER", argument="Bob, Alice"))
assert observation.done is True
assert observation.reward == 1.0
def test_fallback_when_answer_type_missing(env):
_set_single_question(
env,
sql="SELECT dept FROM employees WHERE id = 1",
answer_type=None,
)
env.reset(seed=1)
observation = env.step(SQLAction(action_type="ANSWER", argument="engineering"))
assert observation.done is True
assert observation.reward == 1.0
def test_type_coercion_failure_returns_zero_reward(env):
_set_single_question(
env,
sql="SELECT COUNT(*) FROM employees",
answer_type="integer",
)
env.reset(seed=1)
observation = env.step(SQLAction(action_type="ANSWER", argument="not-a-number"))
assert observation.done is True
assert observation.reward == 0.0
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