"""文档入库测试."""
import tempfile
from pathlib import Path

import pytest

from src.core.ingest import DocumentIngestor
from src.core.splitters import MarkdownSplitter


class TestMarkdownSplitter:
    """Markdown 分块器测试."""

    @pytest.fixture
    def splitter(self):
        return MarkdownSplitter(max_size=1000, overlap=100)

    def test_split_simple_document(self, splitter):
        """简单文档按标题拆分."""
        md = """# 标题一
这是第一段内容。

## 标题二
这是第二段内容。

# 标题三
这是第三段内容。"""
        chunks = splitter.split(md, source_file="test.md")
        assert len(chunks) >= 3
        # 每个 chunk 有元数据
        for chunk in chunks:
            assert "content" in chunk
            assert chunk["source_file"] == "test.md"

    def test_chunk_has_heading_metadata(self, splitter):
        """chunk 附带标题元数据."""
        md = "# 配置指南\n这里是配置说明。"
        chunks = splitter.split(md, source_file="config.md")
        assert len(chunks) >= 1
        title = chunks[0]["section_title"]
        assert "配置指南" in title or title == ""

    def test_long_section_is_split(self, splitter):
        """超长章节被进一步拆分."""
        # 创建一个超过 max_size 的段落
        long_text = "这是很长的文本。" * 300  # ~3000 字符
        md = f"# 长章节\n{long_text}"
        small_splitter = MarkdownSplitter(max_size=500, overlap=50)
        chunks = small_splitter.split(md, source_file="long.md")
        assert len(chunks) > 1

    def test_empty_document(self, splitter):
        """空文档返回空列表."""
        chunks = splitter.split("", source_file="empty.md")
        assert chunks == []

    def test_code_blocks_preserved(self, splitter):
        """代码块不被拆分."""
        md = """# 代码示例
```python
def hello():
    print("world")
```

"""
        chunks = splitter.split(md, source_file="code.md")
        assert len(chunks) >= 1
        # 代码块内容应在某个 chunk 中
        all_content = " ".join(c["content"] for c in chunks)
        assert "def hello()" in all_content

    def test_separator_near_start_does_not_loop(self, splitter):
        """分隔符紧挨 start 时不会死循环 (回归测试, fix: start=max(start+1, next_start)).

        场景: 超长段落中, 分隔符出现在距离 start 小于 overlap 的位置,
        _split_single_paragraph 的 start 会回退为负数, str.rfind 负索引绕回导致死循环.
        """
        # 100 个句号 + 大量内容 → 句号密集在开头且很近
        text = "。" * 80 + "内容文本" * 500
        md = f"# 边界测试\n{text}"
        chunks = splitter.split(md, source_file="edge.md")
        # 不卡死即通过
        assert len(chunks) > 0
        # 验证内容完整
        all_text = "".join(c["content"] for c in chunks)
        assert "内容文本" in all_text

    def test_dense_separators_in_long_para(self, splitter):
        """超长段落中分隔符密集分布也能正确分块."""
        # ~2000 字符: 每段 20 个"内容文本" + "。"，共 30 段
        text = ""
        for i in range(30):
            text += "内容文本" * 20 + "。" * (3 if i % 5 == 0 else 1) + "\n"
        md = f"# 密集分隔符\n{text}"
        chunks = splitter.split(md, source_file="dense.md")
        assert len(chunks) > 1  # 超过 1000 字符应被拆分


class TestDocumentIngestor:
    """文档入库器测试."""

    @pytest.fixture
    def temp_md_dir(self):
        with tempfile.TemporaryDirectory() as d:
            # 创建测试 Markdown 文件
            md_path = Path(d) / "test.md"
            md_path.write_text("# 测试\n这是测试内容。", encoding="utf-8")
            yield d

    def test_read_markdown_file(self, temp_md_dir):
        """读取 Markdown 文件."""
        content = Path(temp_md_dir + "/test.md").read_text(encoding="utf-8")
        assert "测试" in content
        assert "这是测试内容" in content


class TestIngestorIntegration:
    """入库器集成测试 (使用真实 embedder)."""

    def test_ingest_content_real(self, tmp_path):
        """真实入库: 分块→嵌入→入库."""
        from src.core.config import EmbedConfig
        from src.core.db import VectorDB
        from src.core.embedder import create_embedder

        db = VectorDB(persist_dir=str(tmp_path))
        embedder = create_embedder(EmbedConfig(mode="local"))
        ingestor = DocumentIngestor(db, embedder, "test_integration")

        count = ingestor.ingest_content("# Hello\nWorld.", "hello.md")
        assert count > 0
        assert ingestor.collection.count() == count

    def test_ingest_deduplicates(self, tmp_path):
        """重复入库同一文件会去重."""
        from src.core.config import EmbedConfig
        from src.core.db import VectorDB
        from src.core.embedder import create_embedder

        db = VectorDB(persist_dir=str(tmp_path))
        embedder = create_embedder(EmbedConfig(mode="local"))
        ingestor = DocumentIngestor(db, embedder, "test_dedup")

        ingestor.ingest_content("# A", "dup.md")
        c2 = ingestor.ingest_content("# B", "dup.md")
        assert ingestor.collection.count() == c2


class TestIngestFile:
    """ingest_file 方法测试."""

    def test_ingest_file_markdown(self, tmp_path):
        """通过文件路径入库 .md 文件."""
        from src.core.config import EmbedConfig
        from src.core.db import VectorDB
        from src.core.embedder import create_embedder

        md_file = tmp_path / "hello.md"
        md_file.write_text("# 测试\n这是测试内容。", encoding="utf-8")

        db = VectorDB(persist_dir=str(tmp_path / "db"))
        embedder = create_embedder(EmbedConfig(mode="local"))
        ingestor = DocumentIngestor(db, embedder, "test_file")

        count = ingestor.ingest_file(str(md_file))
        assert count > 0
        assert ingestor.collection.count() == count

    def test_ingest_file_text(self, tmp_path):
        """通过文件路径入库 .txt 文件."""
        from src.core.config import EmbedConfig
        from src.core.db import VectorDB
        from src.core.embedder import create_embedder

        txt_file = tmp_path / "notes.txt"
        txt_file.write_text("这是一段纯文本内容。\n\n第二段内容在这里。", encoding="utf-8")

        db = VectorDB(persist_dir=str(tmp_path / "db"))
        embedder = create_embedder(EmbedConfig(mode="local"))
        ingestor = DocumentIngestor(db, embedder, "test_txt")

        count = ingestor.ingest_file(str(txt_file))
        assert count > 0


class TestIngestDirectory:
    """ingest_directory 方法测试."""

    def test_ingest_directory_mixed_formats(self, tmp_path):
        """入库包含多种格式的目录."""
        from src.core.config import EmbedConfig
        from src.core.db import VectorDB
        from src.core.embedder import create_embedder

        (tmp_path / "a.md").write_text("# A\n内容 A", encoding="utf-8")
        (tmp_path / "b.txt").write_text("内容 B", encoding="utf-8")
        (tmp_path / "not_supported.xyz").write_text("不应被处理", encoding="utf-8")

        db = VectorDB(persist_dir=str(tmp_path / "db"))
        embedder = create_embedder(EmbedConfig(mode="local"))
        ingestor = DocumentIngestor(db, embedder, "test_dir")

        results = ingestor.ingest_directory(str(tmp_path))
        assert len(results) >= 2  # a.md + b.txt, .xyz 被忽略

    def test_ingest_directory_empty(self, tmp_path):
        """空目录返回空结果."""
        from src.core.config import EmbedConfig
        from src.core.db import VectorDB
        from src.core.embedder import create_embedder

        db = VectorDB(persist_dir=str(tmp_path / "db"))
        embedder = create_embedder(EmbedConfig(mode="local"))
        ingestor = DocumentIngestor(db, embedder, "test_empty_dir")

        results = ingestor.ingest_directory(str(tmp_path))
        assert results == {}


class TestIncrementalIngest:
    """增量入库测试."""

    def test_ingest_file_incremental_skips_unchanged(self, tmp_path):
        """增量模式: 未修改的文件跳过入库."""
        from src.core.config import ChunkConfig, EmbedConfig
        from src.core.db import VectorDB
        from src.core.embedder import create_embedder
        from src.core.file_tracker import FileTracker

        file = tmp_path / "stable.md"
        file.write_text("# 稳定文档\n\n内容不变。", encoding="utf-8")
        tracker_path = str(tmp_path / "tracker.json")
        db = VectorDB(persist_dir=str(tmp_path / "db"))
        embedder = create_embedder(EmbedConfig(mode="local"))
        ingestor = DocumentIngestor(
            db, embedder, "test_incr",
            chunk_config=ChunkConfig(max_size=1000, overlap=100),
            file_tracker=FileTracker(tracker_path),
        )
        count1 = ingestor.ingest_file(str(file), incremental=True)
        assert count1 > 0
        count2 = ingestor.ingest_file(str(file), incremental=True)
        assert count2 == 0  # 跳过

    def test_ingest_file_incremental_reingests_modified(self, tmp_path):
        """增量模式: 修改后的文件重新入库."""
        from src.core.config import ChunkConfig, EmbedConfig
        from src.core.db import VectorDB
        from src.core.embedder import create_embedder
        from src.core.file_tracker import FileTracker

        file = tmp_path / "changing.md"
        file.write_text("# v1\n\n初始版本的内容段落。", encoding="utf-8")
        tracker_path = str(tmp_path / "tracker2.json")
        db = VectorDB(persist_dir=str(tmp_path / "db2"))
        embedder = create_embedder(EmbedConfig(mode="local"))
        ingestor = DocumentIngestor(
            db, embedder, "test_incr2",
            chunk_config=ChunkConfig(max_size=1000, overlap=100),
            file_tracker=FileTracker(tracker_path),
        )
        count1 = ingestor.ingest_file(str(file), incremental=True)
        assert count1 > 0
        file.write_text("# v2\n\n新增段落，内容完全不同了。", encoding="utf-8")
        count2 = ingestor.ingest_file(str(file), incremental=True)
        assert count2 > 0

    def test_ingest_file_force_mode_always_reingests(self, tmp_path):
        """force=True 时始终重新入库（忽略 tracker）."""
        from src.core.config import ChunkConfig, EmbedConfig
        from src.core.db import VectorDB
        from src.core.embedder import create_embedder
        from src.core.file_tracker import FileTracker

        file = tmp_path / "force.md"
        file.write_text("# force test\n\n这是强制入库测试的内容。", encoding="utf-8")
        tracker_path = str(tmp_path / "tracker3.json")
        db = VectorDB(persist_dir=str(tmp_path / "db3"))
        embedder = create_embedder(EmbedConfig(mode="local"))
        ingestor = DocumentIngestor(
            db, embedder, "test_force",
            chunk_config=ChunkConfig(max_size=1000, overlap=100),
            file_tracker=FileTracker(tracker_path),
        )
        count1 = ingestor.ingest_file(str(file), incremental=True)
        count2 = ingestor.ingest_file(str(file), incremental=True, force=True)
        assert count1 > 0
        assert count2 > 0  # force 模式重新入库


def test_ingest_content_default_splitter(tmp_path):
    """未指定 splitter 时用 MarkdownSplitter."""
    from src.core.config import EmbedConfig
    from src.core.db import VectorDB
    from src.core.embedder import create_embedder
    from src.core.ingest import DocumentIngestor

    db = VectorDB(persist_dir=str(tmp_path / "db"))
    embedder = create_embedder(EmbedConfig(mode="local"))
    ingestor = DocumentIngestor(db, embedder, "test_content")
    count = ingestor.ingest_content("# 测试\n\n一些内容。", "test.md")
    assert count >= 1


def test_ingest_directory_recursive(tmp_path):
    """ingest_directory 递归处理子目录."""
    from src.core.config import EmbedConfig, ChunkConfig
    from src.core.db import VectorDB
    from src.core.embedder import create_embedder
    from src.core.ingest import DocumentIngestor

    (tmp_path / "sub").mkdir()
    (tmp_path / "a.md").write_text("# A\n\n内容A。", encoding="utf-8")
    (tmp_path / "sub" / "b.md").write_text("# B\n\n内容B。", encoding="utf-8")
    db = VectorDB(persist_dir=str(tmp_path / "db_r"))
    embedder = create_embedder(EmbedConfig(mode="local"))
    ingestor = DocumentIngestor(
        db, embedder, "test_recurse",
        chunk_config=ChunkConfig(max_size=1000, overlap=100),
    )
    results = ingestor.ingest_directory(str(tmp_path))
    assert len(results) >= 2
    assert all(v > 0 for v in results.values())