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cd11aba c3002ad cd11aba c3002ad | 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 | """Tests for the extensibility API — custom tasks and contamination rules."""
import pytest
from dataqa_env.server.tasks import (
PlantedIssue,
create_task_from_config,
register_task,
register_contamination_rule,
CONTAMINATION_RULES,
get_task,
list_tasks,
)
from dataqa_env.server.environment import DataQAEnvironment, compute_weighted_reward
from dataqa_env.models import DataQAAction
SIMPLE_CSV = "id,name,score\n1,Alice,95\n2,Bob,87\n3,Carol,92\n4,Dave,78"
class TestCreateTaskFromConfig:
def test_basic_creation(self):
task = create_task_from_config(
task_id="test_custom",
name="Test Task",
description="Test",
schema_description="id: int, name: str, score: int",
validation_rules="No missing values",
clean_csv=SIMPLE_CSV,
contaminations=[
{"rule": "missing_value", "row": 0, "col": 1},
],
)
assert task.task_id == "test_custom"
assert len(task.planted_issues) == 1
assert task.planted_issues[0].issue_type == "missing_value"
assert task.planted_issues[0].col == "name"
def test_multiple_contaminations(self):
task = create_task_from_config(
task_id="multi",
name="Multi",
description="Test",
schema_description="",
validation_rules="",
clean_csv=SIMPLE_CSV,
contaminations=[
{"rule": "missing_value", "row": 0, "col": 1},
{"rule": "missing_value", "row": 2, "col": 1},
],
)
assert len(task.planted_issues) == 2
def test_custom_difficulty_override(self):
task = create_task_from_config(
task_id="custom_diff",
name="Custom Difficulty",
description="Test",
schema_description="",
validation_rules="",
clean_csv=SIMPLE_CSV,
contaminations=[
{"rule": "missing_value", "row": 0, "col": 1, "difficulty": 2.5},
],
)
assert task.planted_issues[0].difficulty == 2.5
def test_callable_rule(self):
def custom_rule(rows, header, col_idx, row_idx, rng):
return "CORRUPTED", PlantedIssue(
row=row_idx + 1, col=header[col_idx], issue_type="wrong_type",
description="Custom corruption", difficulty=1.5,
)
task = create_task_from_config(
task_id="callable",
name="Callable Rule",
description="Test",
schema_description="",
validation_rules="",
clean_csv=SIMPLE_CSV,
contaminations=[
{"rule": custom_rule, "row": 1, "col": 2},
],
)
assert task.planted_issues[0].issue_type == "wrong_type"
assert "CORRUPTED" in task.corrupted_csv
def test_unknown_rule_raises(self):
with pytest.raises(ValueError, match="Unknown contamination rule"):
create_task_from_config(
task_id="bad",
name="Bad",
description="",
schema_description="",
validation_rules="",
clean_csv=SIMPLE_CSV,
contaminations=[{"rule": "nonexistent_rule", "row": 0, "col": 0}],
)
class TestRegisterContaminationRule:
def test_register_and_use(self):
def reverse_value(rows, header, col_idx, row_idx, rng):
val = rows[row_idx][col_idx]
return val[::-1], PlantedIssue(
row=row_idx + 1, col=header[col_idx], issue_type="format_violation",
description="Reversed value", difficulty=1.5,
)
register_contamination_rule("reverse", reverse_value)
assert "reverse" in CONTAMINATION_RULES
task = create_task_from_config(
task_id="rev_test",
name="Reverse Test",
description="",
schema_description="",
validation_rules="",
clean_csv=SIMPLE_CSV,
contaminations=[{"rule": "reverse", "row": 0, "col": 1}],
)
assert task.planted_issues[0].issue_type == "format_violation"
# "Alice" reversed is "ecilA"
assert "ecilA" in task.corrupted_csv
# Cleanup
del CONTAMINATION_RULES["reverse"]
class TestRegisterTask:
def test_register_and_get(self):
task = create_task_from_config(
task_id="registered",
name="Registered Task",
description="Test registered task",
schema_description="id: int, name: str",
validation_rules="No missing values",
clean_csv=SIMPLE_CSV,
contaminations=[{"rule": "missing_value", "row": 1, "col": 1}],
)
register_task("registered", lambda seed: task)
assert "registered" in list_tasks()
fetched = get_task("registered")
assert fetched.task_id == "registered"
assert len(fetched.planted_issues) == 1
# Cleanup
from dataqa_env.server.tasks import TASK_REGISTRY
del TASK_REGISTRY["registered"]
class TestCustomTaskInEnvironment:
def test_full_lifecycle_identify_only(self):
"""Custom task works end-to-end with identify-only."""
task = create_task_from_config(
task_id="e2e_custom",
name="E2E Custom",
description="End-to-end test",
schema_description="id: int, name: str, score: int",
validation_rules="No missing values",
clean_csv=SIMPLE_CSV,
contaminations=[
{"rule": "missing_value", "row": 0, "col": 1, "difficulty": 1.0},
{"rule": "whitespace_value", "row": 2, "col": 1, "difficulty": 2.5},
],
)
register_task("e2e_custom", lambda seed: task)
env = DataQAEnvironment()
obs = env.reset(task_id="e2e_custom")
assert obs.num_issues_hint == 2
action = DataQAAction(
issues=[i.to_key() for i in task.planted_issues],
task_id="e2e_custom",
)
obs = env.step(action)
assert obs.done is True
assert obs.reward >= 0.999
from dataqa_env.server.tasks import TASK_REGISTRY
del TASK_REGISTRY["e2e_custom"]
def test_full_lifecycle_identify_and_fix(self):
"""Custom task works end-to-end with both identify and fix."""
task = create_task_from_config(
task_id="e2e_fix",
name="E2E Fix",
description="End-to-end test with fixes",
schema_description="id: int, name: str, score: int",
validation_rules="No missing values",
clean_csv=SIMPLE_CSV,
contaminations=[
{"rule": "missing_value", "row": 0, "col": 1, "difficulty": 1.0},
],
)
register_task("e2e_fix", lambda seed: task)
env = DataQAEnvironment()
env.reset(task_id="e2e_fix")
# Submit issues + fix
action = DataQAAction(
issues=[task.planted_issues[0].to_key()],
fixes=["row:1,col:name,fix:Alice"], # clean value is "Alice"
task_id="e2e_fix",
)
obs = env.step(action)
assert obs.done is True
assert obs.metadata["fix_score"] > 0.0
assert obs.metadata["combined_reward"] > 0.0
from dataqa_env.server.tasks import TASK_REGISTRY
del TASK_REGISTRY["e2e_fix"]
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