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learningcircuit--local-deep…/tests/api_tests/test_api_contracts.py
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chore: import upstream snapshot with attribution
2026-07-13 13:08:55 +08:00

125 lines
3.5 KiB
Python

#!/usr/bin/env python3
"""
Test API response contracts.
These tests verify that API responses have the expected structure.
Breaking these contracts will break client integrations.
"""
import pytest
class TestResearchStatusValues:
"""
Verify that research status values are consistent.
Clients depend on these exact string values.
"""
def test_research_status_enum_values(self):
"""
Verify ResearchStatus enum has expected values.
Clients check for these exact string values in responses.
Changing them will break client code.
"""
from local_deep_research.database.models.research import (
ResearchStatus,
)
# These are the status values clients depend on
expected_values = {
"pending",
"in_progress",
"completed",
"failed",
"cancelled",
"suspended",
}
actual_values = {status.value for status in ResearchStatus}
# Check no expected values were removed
missing = expected_values - actual_values
assert not missing, (
f"ResearchStatus is missing expected values: {missing}\n"
"Clients depend on these status values.\n"
"Removing them will break client integrations."
)
def test_research_mode_enum_values(self):
"""
Verify ResearchMode enum has expected values.
Clients use these values when starting research.
"""
from local_deep_research.database.models.research import (
ResearchMode,
)
# These are the mode values clients depend on
expected_values = {
"quick",
"detailed",
}
actual_values = {mode.value for mode in ResearchMode}
missing = expected_values - actual_values
assert not missing, (
f"ResearchMode is missing expected values: {missing}\n"
"Clients depend on these mode values."
)
class TestResponseStructures:
"""
Verify that models have expected columns for API responses.
These are the fields that clients depend on.
"""
def test_research_has_required_columns(self):
"""
Verify Research model has required columns for API responses.
These columns are serialized in API responses.
"""
from local_deep_research.database.models.research import Research
required_columns = {
"id",
"query",
"status",
"mode",
"created_at",
}
actual_columns = set(Research.__table__.columns.keys())
missing = required_columns - actual_columns
assert not missing, (
f"Research model is missing required columns: {missing}\n"
"These columns are expected in API responses."
)
def test_user_settings_has_required_columns(self):
"""
Verify UserSettings model has required columns for API responses.
"""
from local_deep_research.database.models import UserSettings
required_columns = {"id", "key", "value", "category"}
actual_columns = set(UserSettings.__table__.columns.keys())
missing = required_columns - actual_columns
assert not missing, (
f"UserSettings model is missing required columns: {missing}\n"
"These columns are expected in settings API responses."
)
if __name__ == "__main__":
pytest.main([__file__, "-v"])