from __future__ import annotations

import json
import sys
import tempfile
import unittest
from pathlib import Path
from unittest.mock import patch

sys.path.insert(0, str(Path(__file__).resolve().parents[1]))


class TestDocumentHostTools(unittest.TestCase):
    def test_document_search_truncates_content_without_requiring_key_arg(self):
        from tools.documents import DocumentSearchTool

        docs = [
            {
                "file_name": "paper.md",
                "kb_name": "mu_1",
                "character_count": 50000,
                "md_content": "A" * 200,
            }
        ]
        with patch("tools.documents.doc_client.search", return_value=docs) as search:
            # 单 query 批量:queries 列表只一条时,缩量逻辑不动用户给的参数
            out = DocumentSearchTool().execute(
                queries=["cement hydration"],
                max_documents=3,
                content_chars_per_doc=20,
            )

        search.assert_called_once_with(
            query="cement hydration",
            kb_names=None,
            classification_ids=None,
            max_documents=3,
        )
        self.assertIn("paper.md", out)
        self.assertIn("mu_1", out)
        self.assertIn("A" * 20, out)
        self.assertIn("truncated", out)

    def test_document_search_batches_queries_concurrently_and_dedups(self):
        from tools.documents import DocumentSearchTool

        calls: list[str] = []

        def fake_search(query, **kwargs):
            calls.append(query)
            return [{"file_name": f"{query}.md", "kb_name": "mu_1", "md_content": "x"}]

        with patch("tools.documents.doc_client.search", side_effect=fake_search):
            out = DocumentSearchTool().execute(
                queries=["q1", "q2", "q1"],  # 含重复 → 去重成 q1/q2
            )

        self.assertEqual(sorted(calls), ["q1", "q2"])  # 去重后只两次
        self.assertIn("[1/2]", out)
        self.assertIn("[2/2]", out)
        self.assertIn("'q1'", out)
        self.assertIn("'q2'", out)

    def test_document_download_uses_constructor_working_dir(self):
        from tools.documents import DocumentDownloadTool

        with tempfile.TemporaryDirectory() as tmp:
            working_dir = Path(tmp) / "task"
            working_dir.mkdir()
            with patch(
                "tools.documents.doc_client.download",
                return_value="documents/paper.pdf",
            ) as download:
                tool = DocumentDownloadTool(
                    working_dir=working_dir,
                    base_dir=working_dir,
                    user_root=Path(tmp),
                )
                out = tool.execute(items=[{"file_name": "paper.pdf", "kb_name": "mu_1"}])

        download.assert_called_once_with(
            file_name="paper.pdf",
            kb_name="mu_1",
            working_dir=str(working_dir),
            preview=False,
        )
        self.assertIn("saved: task/documents/paper.pdf", out)

    def test_document_download_batches_items_isolating_failure(self):
        from tools.documents import DocumentDownloadTool

        with tempfile.TemporaryDirectory() as tmp:
            working_dir = Path(tmp) / "task"
            working_dir.mkdir()

            def fake_download(file_name, kb_name, working_dir, preview):
                if file_name == "bad.pdf":
                    raise RuntimeError("404")
                return f"documents/{file_name}"

            with patch("tools.documents.doc_client.download", side_effect=fake_download):
                tool = DocumentDownloadTool(
                    working_dir=working_dir, base_dir=working_dir, user_root=Path(tmp)
                )
                out = tool.execute(items=[
                    {"file_name": "ok.pdf", "kb_name": "mu_1"},
                    {"file_name": "bad.pdf", "kb_name": "mu_1"},
                ])

        # 一条失败不连坐另一条
        self.assertIn("saved: task/documents/ok.pdf", out)
        self.assertIn("[Error]", out)
        self.assertIn("bad.pdf", out)


class TestMaterialsProjectHostTools(unittest.TestCase):
    def test_mp_search_summary_uses_host_key_and_returns_json(self):
        from tools.materials_project import MaterialsProjectSearchSummaryTool

        class FakeDoc:
            material_id = "mp-1"
            formula_pretty = "Ca3SiO5"
            energy_above_hull = 0.0123

        captured = {}

        class FakeSummary:
            def search(self, **kwargs):
                captured.update(kwargs)
                return [FakeDoc()]

        class FakeMaterials:
            def __init__(self):
                self.summary = FakeSummary()

        class FakeMPRester:
            def __init__(self, api_key):
                self.api_key = api_key
                self.materials = FakeMaterials()

            def __enter__(self):
                return self

            def __exit__(self, exc_type, exc, tb):
                return False

        with patch.dict("os.environ", {"MP_API_KEY": "host-secret"}, clear=False), patch(
            "tools.materials_project.MPRester",
            FakeMPRester,
        ):
            out = MaterialsProjectSearchSummaryTool().execute(
                formula="Ca3SiO5",
                fields=["material_id", "formula_pretty", "energy_above_hull"],
                limit=2,
            )

        data = json.loads(out)
        self.assertEqual(data[0]["material_id"], "mp-1")
        self.assertEqual(data[0]["formula_pretty"], "Ca3SiO5")
        self.assertEqual(data[0]["energy_above_hull"], 0.0123)
        self.assertNotIn("host-secret", out)
        # Server-side limiting: a single page of `limit` records, never the
        # default chunk_size=1000 full-database pagination that gets the IP banned.
        self.assertEqual(captured["num_chunks"], 1)
        self.assertEqual(captured["chunk_size"], 2)


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