"""
Integration Tests for Scraper System.

Tests web scraping functionality with mocked HTTP responses.
"""

import asyncio
from typing import Dict, List
from unittest.mock import AsyncMock, MagicMock, patch

import pytest

from sentimatrix.providers.scrapers.rate_limiter import RateLimiter, RateLimitStrategy


# ============================================================================
# Rate Limiter Integration Tests
# ============================================================================


class TestRateLimiterIntegration:
    """Integration tests for rate limiter."""

    @pytest.mark.asyncio
    async def test_rate_limiter_throttles_requests(self):
        """Test that rate limiter throttles requests properly."""
        limiter = RateLimiter(
            strategy=RateLimitStrategy.TOKEN_BUCKET,
            requests_per_second=5.0,
            burst_size=5,
        )

        start_time = asyncio.get_event_loop().time()

        # Make 10 requests (should take ~1 second with 5/sec limit)
        for i in range(10):
            await limiter.acquire()

        elapsed = asyncio.get_event_loop().time() - start_time

        # Should take at least some time due to rate limiting
        assert elapsed >= 0.5  # At least half the expected time

    @pytest.mark.asyncio
    async def test_per_domain_rate_limiting(self):
        """Test per-domain rate limiting."""
        limiter = RateLimiter(
            strategy=RateLimitStrategy.TOKEN_BUCKET,
            requests_per_second=10.0,
        )

        # Requests to different domains should not interfere
        domains = ["example.com", "test.org", "api.service.com"]

        for domain in domains:
            for _ in range(5):
                await limiter.acquire(domain)

        # Should complete without error
        assert True


class TestScraperDataFlow:
    """Integration tests for scraper data flow."""

    @pytest.mark.asyncio
    async def test_review_data_processing(self):
        """Test processing of review data."""
        # Sample raw review data
        raw_reviews = [
            {
                "id": "R1ABC123",
                "title": "Great product!",
                "body": "This is amazing.",
                "rating": 5,
                "author": "John D.",
            },
            {
                "id": "R2DEF456",
                "title": "Not worth it",
                "body": "Terrible quality.",
                "rating": 1,
                "author": "Jane S.",
            },
        ]

        # Process reviews
        processed = []
        for review in raw_reviews:
            processed.append({
                "id": review["id"],
                "text": f"{review['title']} {review['body']}",
                "rating": review["rating"] / 5.0,  # Normalize to 0-1
                "author": review["author"],
            })

        assert len(processed) == 2
        assert processed[0]["rating"] == 1.0
        assert processed[1]["rating"] == 0.2

    @pytest.mark.asyncio
    async def test_pagination_logic(self):
        """Test pagination logic for scrapers."""
        total_reviews = 150
        page_size = 50

        pages_needed = (total_reviews + page_size - 1) // page_size
        assert pages_needed == 3

        # Simulate fetching pages
        fetched = 0
        for page in range(pages_needed):
            batch_size = min(page_size, total_reviews - fetched)
            fetched += batch_size

        assert fetched == total_reviews


class TestScraperAnalysisPipeline:
    """Integration tests for scraper + analysis pipeline."""

    @pytest.mark.asyncio
    async def test_scrape_and_analyze_flow(self):
        """Test complete flow from scraping to analysis."""
        # Mock scraped reviews
        scraped_reviews = [
            {"text": "Great product!", "rating": 5},
            {"text": "Terrible experience.", "rating": 1},
            {"text": "It's okay.", "rating": 3},
        ]

        # Mock sentiment analysis
        def analyze_sentiment(text: str, rating: int) -> Dict:
            if rating >= 4:
                return {"sentiment": "positive", "confidence": 0.9}
            elif rating <= 2:
                return {"sentiment": "negative", "confidence": 0.85}
            else:
                return {"sentiment": "neutral", "confidence": 0.7}

        # Process reviews
        results = []
        for review in scraped_reviews:
            sentiment = analyze_sentiment(review["text"], review["rating"])
            results.append({
                "text": review["text"],
                "rating": review["rating"],
                **sentiment,
            })

        # Aggregate
        sentiment_counts = {"positive": 0, "negative": 0, "neutral": 0}
        for r in results:
            sentiment_counts[r["sentiment"]] += 1

        assert sentiment_counts["positive"] == 1
        assert sentiment_counts["negative"] == 1
        assert sentiment_counts["neutral"] == 1

    @pytest.mark.asyncio
    async def test_error_handling_in_pipeline(self):
        """Test error handling in scraper pipeline."""
        reviews = [
            {"text": "Valid review", "rating": 5},
            {"text": None, "rating": 3},  # Invalid - missing text
            {"text": "Another review", "rating": 4},
        ]

        # Filter out invalid reviews
        valid_reviews = [r for r in reviews if r.get("text")]

        assert len(valid_reviews) == 2

        # Process valid reviews
        results = []
        for review in valid_reviews:
            try:
                results.append({
                    "text": review["text"],
                    "processed": True,
                })
            except Exception as e:
                results.append({
                    "text": review.get("text", ""),
                    "processed": False,
                    "error": str(e),
                })

        assert all(r["processed"] for r in results)


class TestScraperConcurrency:
    """Integration tests for concurrent scraping."""

    @pytest.mark.asyncio
    async def test_concurrent_page_fetching(self):
        """Test concurrent page fetching."""
        async def fetch_page(page_num: int) -> Dict:
            await asyncio.sleep(0.01)  # Simulate network delay
            return {
                "page": page_num,
                "reviews": [f"Review {i}" for i in range(10)],
            }

        # Fetch 5 pages concurrently
        pages = await asyncio.gather(*[fetch_page(i) for i in range(5)])

        assert len(pages) == 5
        assert all(len(p["reviews"]) == 10 for p in pages)

    @pytest.mark.asyncio
    async def test_rate_limited_concurrent_fetching(self):
        """Test concurrent fetching with rate limiting."""
        limiter = RateLimiter(
            strategy=RateLimitStrategy.TOKEN_BUCKET,
            requests_per_second=100.0,  # High rate for fast test
            burst_size=100,
        )

        async def rate_limited_fetch(page_num: int) -> Dict:
            await limiter.acquire()
            await asyncio.sleep(0.01)
            return {"page": page_num}

        pages = await asyncio.gather(*[rate_limited_fetch(i) for i in range(20)])

        assert len(pages) == 20
        # Verify all pages were fetched
        assert all("page" in p for p in pages)
