"""
Tests for end-to-end research flow.

Tests cover:
- Complete research flow
- Multi-user isolation
"""

from unittest.mock import Mock
import threading


class TestEndToEndResearchFlow:
    """Tests for end-to-end research flow."""

    def test_e2e_quick_mode_with_mock_llm(self):
        """Quick mode research completes with mock LLM."""
        mock_llm = Mock()
        mock_llm.invoke.return_value = Mock(content="Research synthesis result")

        # Simulate quick mode flow
        result = {
            "status": "completed",
            "synthesis": mock_llm.invoke("test").content,
        }

        assert result["status"] == "completed"
        assert "synthesis" in result

    def test_e2e_deep_mode_with_mock_llm(self):
        """Deep mode research completes with mock LLM."""
        mock_llm = Mock()
        mock_llm.invoke.return_value = Mock(content="Deep research analysis")

        research_config = {
            "mode": "deep",
            "query": "test query",
            "iterations": 3,
            "llm": mock_llm,
        }

        # Simulate deep mode flow
        iterations_completed = 0
        for _ in range(research_config["iterations"]):
            mock_llm.invoke("analyze")
            iterations_completed += 1

        result = {"status": "completed", "iterations": iterations_completed}

        assert result["iterations"] == 3

    def test_e2e_research_with_queue(self):
        """Research with queue processing works."""
        queue = []
        active_researches = {}

        # Add to queue
        research_id = "research_1"
        queue.append({"id": research_id, "query": "test"})

        # Process from queue
        if queue:
            item = queue.pop(0)
            active_researches[item["id"]] = {"status": "in_progress"}

        assert research_id in active_researches
        assert len(queue) == 0

    def test_e2e_research_cancellation(self):
        """Research can be cancelled mid-flow."""
        research = {
            "id": "research_1",
            "status": "in_progress",
            "cancelled": False,
        }

        # Cancel research
        research["cancelled"] = True
        research["status"] = "cancelled"

        assert research["status"] == "cancelled"

    def test_e2e_research_error_recovery(self):
        """Research recovers from errors."""
        errors = []
        retries = 0
        max_retries = 3
        success = False

        while not success and retries < max_retries:
            try:
                if retries < 2:
                    raise ConnectionError("Temporary failure")
                success = True
            except ConnectionError as e:
                errors.append(str(e))
                retries += 1

        assert success
        assert retries == 2

    def test_e2e_research_progress_tracking(self):
        """Progress is tracked throughout research."""
        progress_updates = []

        def update_progress(phase, percentage):
            progress_updates.append({"phase": phase, "percent": percentage})

        # Simulate research phases
        update_progress("analysis", 25)
        update_progress("synthesis", 50)
        update_progress("refinement", 75)
        update_progress("complete", 100)

        assert len(progress_updates) == 4
        assert progress_updates[-1]["percent"] == 100

    def test_e2e_research_report_generation(self):
        """Report is generated at end of research."""
        synthesis = "Research findings summary"

        report = {
            "title": "Research Report",
            "content": synthesis,
            "generated_at": "2024-01-15",
        }

        assert report["content"] == synthesis

    def test_e2e_research_export_formats(self):
        """Research exports to multiple formats."""
        content = "# Research Report\n\nFindings..."

        exports = {
            "markdown": content,
            "pdf": f"PDF({content})",
            "html": f"<html><body>{content}</body></html>",
        }

        assert len(exports) == 3

    def test_e2e_research_database_persistence(self):
        """Research is persisted to database."""
        mock_db = {}

        research = {
            "id": "research_1",
            "query": "test query",
            "result": "synthesis",
        }

        mock_db[research["id"]] = research

        retrieved = mock_db.get("research_1")

        assert retrieved is not None
        assert retrieved["query"] == "test query"

    def test_e2e_research_socket_notifications(self):
        """Socket notifications are sent during research."""
        notifications = []

        def emit(event, data):
            notifications.append({"event": event, "data": data})

        # Simulate research flow with notifications
        emit("research_started", {"id": "research_1"})
        emit("progress", {"percent": 50})
        emit("research_completed", {"id": "research_1"})

        assert len(notifications) == 3
        assert notifications[0]["event"] == "research_started"

    def test_e2e_research_settings_propagation(self):
        """Settings are propagated through research flow."""
        settings = {
            "llm.model": "gpt-4",
            "llm.temperature": 0.7,
            "search.max_results": 10,
        }

        # Settings should be accessible in each phase
        analysis_settings = settings.copy()
        synthesis_settings = settings.copy()

        assert analysis_settings["llm.model"] == "gpt-4"
        assert synthesis_settings["llm.temperature"] == 0.7

    def test_e2e_research_resource_cleanup(self):
        """Resources are cleaned up after research."""
        resources = {
            "llm_connection": Mock(),
            "cache_entries": ["entry1", "entry2"],
            "temp_files": ["/tmp/file1"],
        }

        # Cleanup
        resources["llm_connection"].close = Mock()
        resources["cache_entries"].clear()
        resources["temp_files"].clear()

        assert len(resources["cache_entries"]) == 0
        assert len(resources["temp_files"]) == 0


class TestMultiUserIsolation:
    """Tests for multi-user isolation."""

    def test_multi_user_database_isolation(self):
        """Users have isolated databases."""
        user_dbs = {
            "user1": {"data": "user1_data"},
            "user2": {"data": "user2_data"},
        }

        # Each user's data is separate
        assert user_dbs["user1"]["data"] != user_dbs["user2"]["data"]

    def test_multi_user_settings_isolation(self):
        """Users have isolated settings."""
        user_settings = {
            "user1": {"llm.model": "gpt-4"},
            "user2": {"llm.model": "claude-3"},
        }

        assert user_settings["user1"]["llm.model"] == "gpt-4"
        assert user_settings["user2"]["llm.model"] == "claude-3"

    def test_multi_user_queue_isolation(self):
        """Users have isolated queues."""
        user_queues = {
            "user1": [{"id": "r1"}],
            "user2": [{"id": "r2"}, {"id": "r3"}],
        }

        assert len(user_queues["user1"]) == 1
        assert len(user_queues["user2"]) == 2

    def test_multi_user_cache_sharing(self):
        """Cache can be shared between users."""
        shared_cache = {
            "query_hash_1": {"result": "shared_result"},
        }

        # Both users can access shared cache
        user1_result = shared_cache.get("query_hash_1")
        user2_result = shared_cache.get("query_hash_1")

        assert user1_result == user2_result

    def test_multi_user_concurrent_research(self):
        """Concurrent research from multiple users works."""
        results = {}
        lock = threading.Lock()

        def run_research(user_id, query):
            # Simulate research
            result = f"result_{user_id}"
            with lock:
                results[user_id] = result

        threads = [
            threading.Thread(
                target=run_research, args=(f"user{i}", f"query{i}")
            )
            for i in range(3)
        ]

        for t in threads:
            t.start()
        for t in threads:
            t.join()

        assert len(results) == 3

    def test_multi_user_session_handling(self):
        """Sessions are handled per user."""
        sessions = {}

        def create_session(user_id):
            sessions[user_id] = {
                "user_id": user_id,
                "created": "now",
                "authenticated": True,
            }

        create_session("user1")
        create_session("user2")

        assert sessions["user1"]["user_id"] == "user1"
        assert sessions["user2"]["user_id"] == "user2"

    def test_multi_user_resource_limits(self):
        """Resource limits are enforced per user."""
        user_limits = {
            "user1": {"max_concurrent": 2, "current": 2},
            "user2": {"max_concurrent": 2, "current": 1},
        }

        def can_start_research(user_id):
            limits = user_limits[user_id]
            return limits["current"] < limits["max_concurrent"]

        assert not can_start_research("user1")
        assert can_start_research("user2")

    def test_multi_user_error_isolation(self):
        """Errors for one user don't affect others."""
        user_states = {
            "user1": {"status": "error", "error": "LLM failed"},
            "user2": {"status": "running", "error": None},
        }

        assert user_states["user1"]["status"] == "error"
        assert user_states["user2"]["status"] == "running"


class TestResearchFlowEdgeCases:
    """Tests for research flow edge cases."""

    def test_empty_query_handling(self):
        """Empty queries are rejected."""
        query = ""

        if not query.strip():
            error = "Query cannot be empty"
        else:
            error = None

        assert error is not None

    def test_very_long_query_handling(self):
        """Very long queries are truncated."""
        max_length = 1000
        query = "x" * 2000

        if len(query) > max_length:
            truncated = query[:max_length]
        else:
            truncated = query

        assert len(truncated) == max_length

    def test_special_characters_in_query(self):
        """Special characters in query are handled."""
        query = "test <script>alert('xss')</script>"

        # Sanitize
        sanitized = query.replace("<", "&lt;").replace(">", "&gt;")

        assert "<script>" not in sanitized

    def test_unicode_query_handling(self):
        """Unicode queries are handled."""
        query = "recherche en fran\u00e7ais"

        # Should work without issues
        encoded = query.encode("utf-8")
        decoded = encoded.decode("utf-8")

        assert decoded == query

    def test_concurrent_modifications(self):
        """Concurrent modifications are handled."""
        research = {"status": "in_progress", "version": 1}
        lock = threading.Lock()

        def modify(new_status):
            with lock:
                research["status"] = new_status
                research["version"] += 1

        threads = [
            threading.Thread(target=modify, args=(f"status_{i}",))
            for i in range(5)
        ]

        for t in threads:
            t.start()
        for t in threads:
            t.join()

        assert research["version"] == 6  # Initial 1 + 5 modifications

    def test_timeout_handling(self):
        """Timeouts are handled gracefully."""
        timeout_seconds = 30
        elapsed = 35

        if elapsed > timeout_seconds:
            status = "timeout"
        else:
            status = "completed"

        assert status == "timeout"

    def test_retry_exhaustion(self):
        """Retry exhaustion is handled."""
        max_retries = 3
        retries = 0
        success = False

        while not success and retries < max_retries:
            try:
                raise Exception("Always fails")
            except Exception:
                retries += 1

        if retries >= max_retries:
            final_status = "failed"
        else:
            final_status = "success"

        assert final_status == "failed"
        assert retries == max_retries
