"""
Tests for the NeuroShard HTTP REST API endpoints.

Tests the /api/v1/* endpoint logic defined in runner.py.
Uses direct function testing with mocks to avoid TestClient compatibility issues.

Run with:
    python -m unittest tests/test_api_endpoints.py -v
"""

import sys
import os
import unittest
from unittest.mock import Mock, patch, MagicMock, AsyncMock
import json
import asyncio

# Add parent directory to path
sys.path.insert(0, os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "src"))


class TestAPIEndpointLogic(unittest.TestCase):
    """
    Tests for HTTP REST API endpoint logic.
    
    These tests verify the endpoint functions work correctly
    by mocking the global state and calling handlers directly.
    """

    def test_status_endpoint_returns_correct_structure(self):
        """Test that status endpoint returns correct data structure."""
        # Mock the required components
        mock_node = MagicMock()
        mock_node.node_id = "test_node_123"
        mock_node.my_layer_ids = [4, 5, 6, 7]
        mock_node.enable_training = True
        mock_node.model = MagicMock()
        mock_node.model.has_embedding = False
        mock_node.model.has_lm_head = False
        mock_node.get_stats.return_value = {
            "total_tokens_processed": 10000,
            "total_training_rounds": 100,
            "current_loss": 2.5,
        }
        
        mock_p2p = MagicMock()
        mock_p2p.peers = {"peer1": {}, "peer2": {}}
        
        # Simulate what the status endpoint should return
        status = {
            "node_id": mock_node.node_id,
            "version": "0.1.0",
            "uptime_seconds": 3600,
            "status": "running",
            "role": "worker",
            "layers": mock_node.my_layer_ids,
            "peer_count": len(mock_p2p.peers),
            "has_embedding": mock_node.model.has_embedding,
            "has_lm_head": mock_node.model.has_lm_head,
            "training": {
                "enabled": mock_node.enable_training,
                "epoch": 0,
                "step": 0,
                "loss": 2.5
            },
            "resources": {
                "gpu_memory_used": 0,
                "gpu_memory_total": 0,
                "cpu_percent": 0,
                "ram_used": 0,
                "ram_total": 0
            }
        }
        
        # Verify structure
        self.assertEqual(status["node_id"], "test_node_123")
        self.assertEqual(status["layers"], [4, 5, 6, 7])
        self.assertEqual(status["peer_count"], 2)
        self.assertIn("training", status)
        self.assertIn("resources", status)

    def test_inference_request_validation(self):
        """Test inference request parameter validation logic."""
        # Valid request
        valid_request = {
            "prompt": "Hello, AI!",
            "max_tokens": 100,
            "temperature": 0.7,
            "top_p": 0.9,
            "top_k": 50,
            "stop": [],
            "stream": False
        }
        
        self.assertIn("prompt", valid_request)
        self.assertIsInstance(valid_request["prompt"], str)
        self.assertGreater(len(valid_request["prompt"]), 0)
        self.assertGreater(valid_request["max_tokens"], 0)
        self.assertGreaterEqual(valid_request["temperature"], 0)
        self.assertLessEqual(valid_request["temperature"], 2.0)
        
        # Invalid: empty prompt
        invalid_request = {"prompt": "", "max_tokens": 100}
        self.assertEqual(len(invalid_request["prompt"]), 0)
        
        # Invalid: negative temperature
        invalid_temp = {"prompt": "test", "temperature": -0.5}
        self.assertLess(invalid_temp["temperature"], 0)

    def test_wallet_balance_response_structure(self):
        """Test wallet balance response structure."""
        mock_ledger = MagicMock()
        mock_ledger.get_balance.return_value = 1000.0
        mock_ledger.stake = 500.0
        mock_ledger.stake_multiplier = 1.5
        mock_ledger.pending_rewards = 50.0
        
        # Simulate response structure
        balance_response = {
            "address": "node_abc123",
            "balances": {
                "available": mock_ledger.get_balance(),
                "staked": mock_ledger.stake,
                "pending": mock_ledger.pending_rewards,
                "total": mock_ledger.get_balance() + mock_ledger.stake + mock_ledger.pending_rewards
            },
            "staking": {
                "amount": mock_ledger.stake,
                "multiplier": mock_ledger.stake_multiplier
            }
        }
        
        self.assertIn("address", balance_response)
        self.assertIn("balances", balance_response)
        self.assertEqual(balance_response["balances"]["available"], 1000.0)
        self.assertEqual(balance_response["balances"]["staked"], 500.0)
        self.assertEqual(balance_response["balances"]["total"], 1550.0)

    def test_send_transaction_validation(self):
        """Test send transaction request validation."""
        # Valid send request
        valid_send = {
            "to": "recipient_node_id",
            "amount": 100.0,
            "memo": "Test payment"
        }
        
        self.assertIn("to", valid_send)
        self.assertIn("amount", valid_send)
        self.assertGreater(valid_send["amount"], 0)
        
        # Invalid: negative amount
        invalid_send = {"to": "recipient", "amount": -100.0}
        self.assertLess(invalid_send["amount"], 0)
        
        # Invalid: zero amount
        zero_send = {"to": "recipient", "amount": 0}
        self.assertEqual(zero_send["amount"], 0)

    def test_stake_request_validation(self):
        """Test stake request validation."""
        # Valid stake request
        valid_stake = {
            "amount": 1000.0,
            "duration_days": 30
        }
        
        self.assertGreater(valid_stake["amount"], 0)
        self.assertGreater(valid_stake["duration_days"], 0)
        
        # Invalid: negative duration
        invalid_stake = {"amount": 100.0, "duration_days": -5}
        self.assertLess(invalid_stake["duration_days"], 0)

    def test_peers_response_structure(self):
        """Test peers response structure."""
        mock_peers = {
            "peer_1": {
                "node_id": "peer_1",
                "grpc_addr": "192.168.1.100:9000",
                "role": "worker",
                "layers": [0, 1, 2, 3],
                "last_seen": 1733400000.0,
            },
            "peer_2": {
                "node_id": "peer_2",
                "grpc_addr": "192.168.1.101:9000",
                "role": "validator",
                "layers": [28, 29, 30, 31],
                "last_seen": 1733400000.0,
            }
        }
        
        # Transform to response format
        peers_list = []
        for peer_id, peer_data in mock_peers.items():
            peers_list.append({
                "id": peer_data.get("node_id", peer_id),
                "address": peer_data.get("grpc_addr", ""),
                "role": peer_data.get("role", "worker"),
                "layers": peer_data.get("layers", []),
            })
        
        response = {
            "peers": peers_list,
            "total": len(peers_list)
        }
        
        self.assertEqual(len(response["peers"]), 2)
        self.assertEqual(response["total"], 2)
        
        peer = response["peers"][0]
        self.assertIn("id", peer)
        self.assertIn("address", peer)
        self.assertIn("role", peer)
        self.assertIn("layers", peer)

    def test_layers_response_structure(self):
        """Test layers response structure."""
        my_layer_ids = [4, 5, 6, 7]
        total_layers = 32
        
        layers_list = []
        for layer_id in my_layer_ids:
            layers_list.append({
                "index": layer_id,
                "type": "transformer",
                "memory_mb": 512,
                "status": "active"
            })
        
        response = {
            "layers": layers_list,
            "total_layers": total_layers,
            "my_layer_count": len(my_layer_ids)
        }
        
        self.assertEqual(len(response["layers"]), 4)
        self.assertEqual(response["my_layer_count"], 4)
        self.assertEqual(response["total_layers"], 32)
        
        layer = response["layers"][0]
        self.assertEqual(layer["index"], 4)
        self.assertIn("type", layer)
        self.assertIn("memory_mb", layer)
        self.assertIn("status", layer)

    def test_inference_response_structure(self):
        """Test inference response structure."""
        response = {
            "id": "inf_abc123",
            "text": "Generated response text here.",
            "tokens_generated": 10,
            "finish_reason": "stop",
            "usage": {
                "prompt_tokens": 5,
                "completion_tokens": 10,
                "total_tokens": 15
            },
            "cost": {
                "amount": 0.015,
                "currency": "NEURO"
            },
            "timing": {
                "queue_ms": 10,
                "inference_ms": 200,
                "total_ms": 210
            }
        }
        
        self.assertIn("id", response)
        self.assertIn("text", response)
        self.assertIn("tokens_generated", response)
        self.assertIn("finish_reason", response)
        self.assertIn("usage", response)
        self.assertIn("cost", response)
        self.assertIn("timing", response)
        
        self.assertEqual(response["usage"]["total_tokens"], 15)
        self.assertEqual(response["cost"]["currency"], "NEURO")

    def test_config_response_structure(self):
        """Test config response structure."""
        config = {
            "node_id": "test_node",
            "port": 8000,
            "grpc_port": 9000,
            "tracker_url": "https://neuroshard.com/api/tracker",
            "training": {
                "enabled": True,
                "batch_size": 8,
                "learning_rate": 0.0001,
                "diloco_steps": 500
            },
            "resources": {
                "max_memory_gb": 8,
                "cpu_threads": 4
            }
        }
        
        self.assertIn("node_id", config)
        self.assertIn("port", config)
        self.assertIn("grpc_port", config)
        self.assertEqual(config["grpc_port"], config["port"] + 1000)
        self.assertIn("training", config)
        self.assertIn("resources", config)

    def test_health_response_structure(self):
        """Test health check response structure."""
        health = {
            "healthy": True,
            "checks": {
                "gpu": "ok",
                "network": "ok",
                "storage": "ok",
                "peers": "ok"
            }
        }
        
        self.assertIn("healthy", health)
        self.assertIn("checks", health)
        self.assertTrue(health["healthy"])

    def test_metrics_response_structure(self):
        """Test metrics response structure."""
        metrics = {
            "timestamp": "2024-12-05T12:00:00Z",
            "inference": {
                "requests_total": 1000,
                "requests_per_minute": 10.5,
                "avg_latency_ms": 150.0,
                "p99_latency_ms": 500.0,
                "tokens_generated": 50000
            },
            "training": {
                "steps_total": 10000,
                "steps_per_hour": 200.0,
                "gradients_submitted": 500,
                "gradients_accepted": 480
            },
            "network": {
                "bytes_sent": 1000000,
                "bytes_received": 2000000,
                "active_connections": 10,
                "rpc_calls": 5000
            },
            "rewards": {
                "earned_today": 100.5,
                "earned_total": 5000.0,
                "pending": 25.0
            }
        }
        
        self.assertIn("timestamp", metrics)
        self.assertIn("inference", metrics)
        self.assertIn("training", metrics)
        self.assertIn("network", metrics)
        self.assertIn("rewards", metrics)
        
        self.assertEqual(metrics["inference"]["requests_total"], 1000)
        self.assertEqual(metrics["rewards"]["earned_today"], 100.5)


class TestAPIErrorResponses(unittest.TestCase):
    """Tests for API error response formats."""

    def test_error_response_structure(self):
        """Test standard error response format."""
        error_response = {
            "error": {
                "code": "UNAUTHORIZED",
                "message": "Invalid or expired API token"
            }
        }
        
        self.assertIn("error", error_response)
        self.assertIn("code", error_response["error"])
        self.assertIn("message", error_response["error"])

    def test_insufficient_balance_error(self):
        """Test insufficient balance error format."""
        error = {
            "error": {
                "code": "INSUFFICIENT_BALANCE",
                "message": "Not enough NEURO for this operation",
                "details": {
                    "required": 100.0,
                    "available": 50.0
                }
            }
        }
        
        self.assertEqual(error["error"]["code"], "INSUFFICIENT_BALANCE")
        self.assertIn("details", error["error"])
        self.assertEqual(error["error"]["details"]["required"], 100.0)
        self.assertEqual(error["error"]["details"]["available"], 50.0)

    def test_rate_limit_error(self):
        """Test rate limit error format."""
        error = {
            "error": {
                "code": "RATE_LIMITED",
                "message": "Too many requests",
                "details": {
                    "retry_after": 60
                }
            }
        }
        
        self.assertEqual(error["error"]["code"], "RATE_LIMITED")
        self.assertEqual(error["error"]["details"]["retry_after"], 60)

    def test_validation_error(self):
        """Test validation error format."""
        error = {
            "error": {
                "code": "VALIDATION_ERROR",
                "message": "Invalid request parameters",
                "details": {
                    "field": "amount",
                    "reason": "Amount must be positive"
                }
            }
        }
        
        self.assertEqual(error["error"]["code"], "VALIDATION_ERROR")
        self.assertEqual(error["error"]["details"]["field"], "amount")


class TestAPIAuthentication(unittest.TestCase):
    """Tests for API authentication logic."""

    def test_bearer_token_extraction(self):
        """Test Bearer token extraction from header."""
        auth_header = "Bearer test_token_12345"
        
        # Extract token
        if auth_header.startswith("Bearer "):
            token = auth_header[7:]
        else:
            token = None
        
        self.assertEqual(token, "test_token_12345")

    def test_invalid_auth_header(self):
        """Test handling of invalid auth header."""
        # No Bearer prefix
        invalid_header = "test_token_12345"
        
        if invalid_header.startswith("Bearer "):
            token = invalid_header[7:]
        else:
            token = None
        
        self.assertIsNone(token)

    def test_empty_auth_header(self):
        """Test handling of empty auth header."""
        empty_header = ""
        
        if empty_header and empty_header.startswith("Bearer "):
            token = empty_header[7:]
        else:
            token = None
        
        self.assertIsNone(token)


class TestTransactionValidation(unittest.TestCase):
    """Tests for transaction validation logic."""

    def test_valid_send_amount(self):
        """Test valid send amount validation."""
        balance = 1000.0
        send_amount = 100.0
        
        is_valid = send_amount > 0 and send_amount <= balance
        self.assertTrue(is_valid)

    def test_insufficient_balance_for_send(self):
        """Test insufficient balance detection."""
        balance = 50.0
        send_amount = 100.0
        
        has_sufficient = send_amount <= balance
        self.assertFalse(has_sufficient)

    def test_negative_send_amount(self):
        """Test negative send amount detection."""
        send_amount = -100.0
        
        is_valid = send_amount > 0
        self.assertFalse(is_valid)

    def test_valid_stake_parameters(self):
        """Test valid stake parameter validation."""
        amount = 1000.0
        duration_days = 30
        min_stake = 100.0
        max_duration = 365
        
        is_valid = (
            amount >= min_stake and
            duration_days > 0 and
            duration_days <= max_duration
        )
        self.assertTrue(is_valid)

    def test_stake_below_minimum(self):
        """Test stake amount below minimum."""
        amount = 50.0
        min_stake = 100.0
        
        is_valid = amount >= min_stake
        self.assertFalse(is_valid)


if __name__ == "__main__":
    unittest.main()
