from __future__ import annotations

import json
import threading

from app.services import knowledge_rag as knowledge_rag_module
from app.services.knowledge_ingest_log import (
    build_document_graph_summary,
    build_ingest_document_summary,
    build_ingest_status_summary,
)
from app.services.knowledge_rag import KnowledgeRagService


def test_build_hits_prioritizes_structured_table_evidence_for_standard_queries() -> None:
    hits = KnowledgeRagService._build_hits_from_query_data(
        query="住宿费标准是多少？",
        chunks=[
            {
                "chunk_id": "plain-1",
                "file_path": "/tmp/doc-1__差旅制度.md",
                "content": "住宿费说明文字，提到了出差和报销要求，但没有清晰表格。",
            },
            {
                "chunk_id": "table-1",
                "file_path": "/tmp/doc-1__差旅制度.md",
                "content": "# 结构化表格补充\n\n| 城市 | 住宿费标准 |\n| 北京 | 500 |",
            },
        ],
        entities=[],
        limit=2,
    )

    assert [item["candidate_id"] for item in hits] == ["table-1", "plain-1"]


def test_build_hits_boosts_query_term_matches() -> None:
    hits = KnowledgeRagService._build_hits_from_query_data(
        query="招待费报销标准",
        chunks=[
            {
                "chunk_id": "travel-1",
                "file_path": "/tmp/doc-1__费用制度.md",
                "content": "差旅费包含交通费、住宿费和餐补标准。",
            },
            {
                "chunk_id": "ent-1",
                "file_path": "/tmp/doc-1__费用制度.md",
                "content": "业务招待费报销标准：应结合客户接待场景、人数和审批要求执行。",
            },
        ],
        entities=[],
        limit=2,
    )

    assert [item["candidate_id"] for item in hits] == ["ent-1", "travel-1"]


def test_build_hits_prioritizes_answer_clue_appendix_for_rule_queries() -> None:
    hits = KnowledgeRagService._build_hits_from_query_data(
        query="报销时限是多少？",
        chunks=[
            {
                "chunk_id": "plain-1",
                "file_path": "/tmp/doc-1__费用制度.md",
                "content": "本制度用于规范报销流程，员工应遵守公司审批要求。",
            },
            {
                "chunk_id": "clue-1",
                "file_path": "/tmp/doc-1__费用制度.md",
                "content": (
                    "# 问答线索补充\n\n"
                    "- 第二章 报销时限：费用发生后 30 日内提交申请。\n"
                    "- 第二章 报销时限：超过 30 日需补充审批说明。"
                ),
            },
        ],
        entities=[],
        limit=2,
    )

    assert [item["candidate_id"] for item in hits] == ["clue-1", "plain-1"]


def test_build_hits_demotes_chapter_navigation_for_specific_rule_queries() -> None:
    hits = KnowledgeRagService._build_hits_from_query_data(
        query="探亲差旅归哪个部门管理？",
        chunks=[
            {
                "chunk_id": "toc-1",
                "file_path": "/tmp/doc-1__费用制度.md",
                "content": "# 章节导航\n\n- 第一章 总则\n- 第二章 职责分工\n- 第三章 支出归口",
            },
            {
                "chunk_id": "body-1",
                "file_path": "/tmp/doc-1__费用制度.md",
                "content": (
                    "附表3：支出归口管理部门与归口业务范围\n"
                    "组织人事部：探亲差旅、条件艰苦及安全风险较高区域补助等支出。"
                ),
            },
        ],
        entities=[],
        limit=2,
    )

    assert [item["candidate_id"] for item in hits] == ["body-1", "toc-1"]


def test_resolve_default_qdrant_url_prefers_container_host(monkeypatch) -> None:
    monkeypatch.setattr(
        knowledge_rag_module.socket,
        "getaddrinfo",
        lambda hostname, port: (
            [("family", "type", "proto", "canonname", ("172.21.0.2", 0))]
            if hostname == "qdrant"
            else []
        ),
    )

    assert knowledge_rag_module._resolve_default_qdrant_url() == "http://qdrant:6333"


def test_resolve_default_qdrant_url_falls_back_to_loopback(monkeypatch) -> None:
    def raise_lookup_error(_hostname, _port):
        raise OSError("lookup failed")

    monkeypatch.setattr(knowledge_rag_module.socket, "getaddrinfo", raise_lookup_error)

    assert knowledge_rag_module._resolve_default_qdrant_url() == "http://127.0.0.1:6333"


def test_runtime_cache_is_isolated_by_thread(monkeypatch) -> None:
    knowledge_rag_module.shutdown_knowledge_rag_runtime()
    created_runtimes = []

    class FakeRuntime:
        def __init__(self, **_kwargs):
            self.finalized = False
            created_runtimes.append(self)

        def finalize(self):
            self.finalized = True

    monkeypatch.setattr(knowledge_rag_module, "_LightRagRuntime", FakeRuntime)
    monkeypatch.setattr(
        KnowledgeRagService,
        "_build_runtime_signature",
        lambda self: (("same-config",), {}),
    )

    service = KnowledgeRagService()
    main_runtime = service._get_runtime()
    assert service._get_runtime() is main_runtime

    worker_runtimes = []

    def load_worker_runtime() -> None:
        worker_runtimes.append(KnowledgeRagService()._get_runtime())

    thread = threading.Thread(target=load_worker_runtime)
    thread.start()
    thread.join(timeout=5)

    assert len(created_runtimes) == 2
    assert worker_runtimes[0] is not main_runtime

    knowledge_rag_module.shutdown_knowledge_rag_runtime()
    assert all(runtime.finalized for runtime in created_runtimes)


def test_is_query_ready_status_rejects_failed_status_even_with_chunks() -> None:
    assert (
        KnowledgeRagService.is_query_ready_status(
            {
                "status": "failed",
                "chunks_count": 11,
                "chunks_list": ["chunk-1"],
            }
        )
        is False
    )


def test_is_query_ready_status_rejects_processing_status_even_with_chunks() -> None:
    assert (
        KnowledgeRagService.is_query_ready_status(
            {
                "status": "processing",
                "chunks_count": 11,
                "chunks_list": ["chunk-1"],
            }
        )
        is False
    )


def test_build_document_graph_summary_reads_lightrag_storage(tmp_path) -> None:
    workspace = tmp_path / "knowledge" / ".lightrag" / "test_workspace"
    workspace.mkdir(parents=True)
    (workspace / "kv_store_full_entities.json").write_text(
        json.dumps({"doc-1": {"entity_names": ["远光软件", "支出管理", "远光软件"]}}),
        encoding="utf-8",
    )
    (workspace / "kv_store_full_relations.json").write_text(
        json.dumps({"doc-1": {"relation_pairs": [["远光软件", "支出管理"]]}}),
        encoding="utf-8",
    )
    (workspace / "kv_store_text_chunks.json").write_text(
        json.dumps(
            {
                "chunk-2": {
                    "_id": "chunk-2",
                    "full_doc_id": "doc-1",
                    "chunk_order_index": 1,
                    "tokens": 45,
                    "content": "第二条 支出审批需要结合预算、归口部门和授权标准执行。",
                },
                "chunk-1": {
                    "_id": "chunk-1",
                    "full_doc_id": "doc-1",
                    "chunk_order_index": 0,
                    "tokens": 31,
                    "content": "第一条 本办法适用于公司支出管理。",
                },
            }
        ),
        encoding="utf-8",
    )

    summary = build_document_graph_summary(
        tmp_path,
        workspace="test_workspace",
        document_id="doc-1",
    )

    assert summary["entity_count"] == 2
    assert summary["entities"] == ["远光软件", "支出管理"]
    assert summary["relation_count"] == 1
    assert summary["relations"] == [{"source": "远光软件", "target": "支出管理", "type": "关联"}]
    assert [item["id"] for item in summary["chunks"]] == ["chunk-1", "chunk-2"]


def test_build_ingest_document_summary_extracts_sections() -> None:
    summary = build_ingest_document_summary(
        document_id="doc-1",
        entry={
            "original_name": "公司支出管理办法.pdf",
            "folder": "制度文件",
            "extension": "pdf",
            "mime_type": "application/pdf",
        },
        raw_text="第一章 总则\n本办法用于规范公司支出。",
        indexed_text="# 第一章 总则\n本办法用于规范公司支出。\n第二条 审批\n审批需按授权执行。",
    )

    assert summary["name"] == "公司支出管理办法.pdf"
    assert summary["section_count"] == 2
    assert summary["sections"][0]["title"] == "第一章 总则"


def test_build_ingest_status_summary_keeps_chunk_status() -> None:
    summary = build_ingest_status_summary(
        status_payload={
            "status": "processed",
            "query_ready": True,
            "chunks_count": 2,
            "chunks_list": ["chunk-1", "chunk-2"],
        },
        graph_summary={
            "entity_count": 1,
            "relation_count": 0,
            "entities": ["预算"],
            "relations": [],
        },
    )

    assert summary["lightrag_status"] == "processed"
    assert summary["query_ready"] is True
    assert summary["chunk_count"] == 2
    assert summary["chunk_ids"] == ["chunk-1", "chunk-2"]