test_failure_modes.py

"""
Scenario 3: Failure Modes

Tests that selected invalid inputs and edge cases behave deterministically.
Full LLM, Redis-unavailable, and STT failure simulations are explicit v2 work.
"""

import pytest

from fakes.firestore import read_conversation, seed_conversation


class TestLLMFailureDegradation:
    """Verify graceful degradation when LLM services are unavailable."""

    @pytest.mark.skip(reason="Requires per-test HTTP server reconfiguration — TODO for v2")
    def test_llm_500_graceful_degradation(self, client, auth_headers):
        """
        When LLM returns 500, conversations should still be saved.

        The processing step may fail but the original conversation data
        must persist in Firestore.
        """
        # This test requires configuring llm_httpserver to return 500
        # after a conversation is created, then verifying it's still readable.
        # For v1, we verify the pattern exists in code via static analysis.
        pass

    def test_conversation_persists_after_failed_processing(self, client, auth_headers):
        """
        Even if post-processing fails, the raw conversation should be
        retrievable. We seed data directly and verify read works.
        """

        conv_data = {
            "id": "fail-persist-001",
            "created_at": "2025-01-15T15:00:00Z",
            "started_at": "2025-01-15T15:00:00Z",
            "finished_at": "2025-01-15T15:03:00Z",
            "source": "omi",
            "language": "en",
            "structured": {
                "title": "",
                "overview": "",
                "emoji": "🧠",
                "category": "other",
                "action_items": [],
                "events": [],
            },
            "transcript_segments": [
                {
                    "id": "seg-fail-1",
                    "text": "This conversation should persist even if processing fails.",
                    "speaker": "SPEAKER_00",
                    "is_user": True,
                    "start": 0.0,
                    "end": 4.0,
                }
            ],
            "discarded": False,
            "status": "in_progress",
            "is_locked": False,
            "data_protection_level": "standard",
        }

        seed_conversation("123", conv_data)

        # Verify readable via API
        resp = client.get(f"/v1/conversations/{conv_data['id']}", headers=auth_headers)
        assert resp.status_code == 200, f"Conversation should be readable: {resp.text}"
        body = resp.json()
        assert body["id"] == conv_data["id"]
        # Should still have transcript even if not processed
        assert len(body.get("transcript_segments", [])) >= 1


class TestRedisFakePaths:
    """Verify CRUD routes work with fakeredis-backed Redis paths."""

    def test_crud_works_with_fake_redis(self, client, auth_headers):
        """Basic CRUD operations succeed with fakeredis-backed Redis operations."""
        # Create action item (triggers rate limiting + Redis ops)
        resp = client.post(
            "/v1/action-items",
            json={"description": "Redis fail-open test"},
            headers=auth_headers,
        )
        assert resp.status_code == 200, f"Should succeed with fakeredis: {resp.text}"

        # Create memory (also uses Redis for caching)
        resp = client.post(
            "/v3/memories",
            json={"content": "Redis fail-open memory", "category": "system"},
            headers=auth_headers,
        )
        assert resp.status_code == 200, f"Memory create should work: {resp.text}"

    def test_conversation_list_works_with_fake_redis_cache(self, client, auth_headers):
        """Listing conversations works with fakeredis cache layer."""
        resp = client.get("/v1/conversations", headers=auth_headers)
        # Should return 200 with empty list or existing conversations
        assert resp.status_code == 200, f"List should work: {resp.text}"

    def test_voice_duration_lua_uses_fake_redis(self, client, fake_redis):
        """Lua scripts imported outside database.redis_db must stay on FakeRedis."""
        from utils import voice_duration_limiter

        allowed, used_ms, _remaining_ms = voice_duration_limiter.try_consume_budget('e2e-voice-script', 1000)

        assert allowed is True
        assert used_ms == 1000
        assert fake_redis.zcard('voice_duration:e2e-voice-script') == 1


class TestSTTFailureHandling:
    """Test STT failure/timeout scenarios."""

    @pytest.mark.skip(
        reason="STT WebSocket fake not yet implemented — " "requires async WS handler simulating Deepgram protocol"
    )
    def test_stt_timeout_handled_gracefully(self, client, auth_headers):
        """
        When Deepgram STT times out, the backend should handle the error
        without crashing the connection.
        """
        pass

    @pytest.mark.skip(reason="STT WebSocket fake not yet implemented")
    def test_stt_error_returns_useful_message(self, client, auth_headers):
        """STT errors return a meaningful error to the client."""
        pass


class TestInvalidInputHandling:
    """Verify the API rejects malformed input gracefully."""

    def test_missing_auth_returns_401(self, client):
        """Requests without auth header get 401."""
        resp = client.get("/v1/conversations")
        assert resp.status_code == 401

    def test_invalid_conversation_id_returns_404(self, client, auth_headers):
        """Non-existent conversation ID returns 404."""
        resp = client.get("/v1/conversations/nonexistent-id-12345", headers=auth_headers)
        assert resp.status_code == 404

    def test_invalid_memory_id_returns_404(self, client, auth_headers):
        """Non-existent memory ID returns 404."""
        resp = client.delete("/v3/memories/nonexistent-mem-id", headers=auth_headers)
        assert resp.status_code == 404

    def test_empty_action_item_description_rejected(self, client, auth_headers):
        """Empty descriptions are rejected by TaskCreate min_length=1 validation."""
        resp = client.post(
            "/v1/action-items",
            json={"description": ""},
            headers=auth_headers,
        )
        assert resp.status_code == 422, resp.text


class TestEdgeCases:
    """Edge cases and boundary conditions."""

    def test_unicode_content_roundtrip(self, client, auth_headers):
        """Unicode text survives create→read round-trip."""
        unicode_text = "Hello 世界 🌍 Привет 日本語"

        resp = client.post(
            "/v3/memories",
            json={"content": unicode_text, "category": "manual"},
            headers=auth_headers,
        )
        assert resp.status_code == 200, resp.text
        mem_id = resp.json()["id"]
        resp = client.get("/v3/memories", headers=auth_headers)
        assert resp.status_code == 200, resp.text
        memories = resp.json()
        found = [m for m in memories if m["id"] == mem_id]
        assert found, f"Memory {mem_id} not found"
        assert found[0]["content"] == unicode_text

    def test_long_action_item_description(self, client, auth_headers):
        """Very long descriptions are handled correctly."""
        long_desc = "A" * 1000
        resp = client.post(
            "/v1/action-items",
            json={"description": long_desc},
            headers=auth_headers,
        )
        assert resp.status_code == 200, f"Long AI should work: {resp.text}"
        ai_id = resp.json()["id"]
        read_resp = client.get(f"/v1/action-items/{ai_id}", headers=auth_headers)
        assert read_resp.status_code == 200, read_resp.text
        assert read_resp.json()["description"] == long_desc

    def test_special_characters_in_title(self, client, auth_headers):
        """Special characters in conversation title are preserved."""

        conv = {
            "id": "special-chars-001",
            "created_at": "2025-01-15T16:00:00Z",
            "started_at": "2025-01-15T16:00:00Z",
            "finished_at": "2025-01-15T16:01:00Z",
            "source": "omi",
            "structured": {
                "title": "Meeting with O'Brien & Associates <script>",
                "overview": "",
                "emoji": "🧠",
                "category": "other",
                "action_items": [],
                "events": [],
            },
            "transcript_segments": [],
            "discarded": False,
            "status": "completed",
            "is_locked": False,
        }
        seed_conversation("123", conv)

        resp = client.get(f"/v1/conversations/{conv['id']}", headers=auth_headers)
        assert resp.status_code == 200, resp.text
        body = resp.json()
        assert "O'Brien" in body["structured"]["title"]