ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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"""Offline regression test for bounded official arXiv API pages."""
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from __future__ import annotations
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import asyncio
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import json
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import sys
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from datetime import datetime, timezone
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from pathlib import Path
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from types import SimpleNamespace
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SRC = Path(__file__).resolve().parent / "src"
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sys.path.insert(0, str(SRC))
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import public_data_tools # noqa: E402
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def test_search_arxiv_bounds_client_page_size(monkeypatch):
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observed: dict[str, object] = {}
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class FakeSearch:
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def __init__(self, **kwargs):
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observed["search"] = kwargs
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class FakeClient:
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def __init__(self, **kwargs):
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observed["client"] = kwargs
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def results(self, _search):
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return iter([
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SimpleNamespace(
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title="A real paper",
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authors=[SimpleNamespace(name="Author")],
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summary="Summary",
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published=datetime(2026, 7, 30, tzinfo=timezone.utc),
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entry_id="https://arxiv.org/abs/2607.00001",
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pdf_url="https://arxiv.org/pdf/2607.00001",
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categories=["cs.AI"],
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)
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])
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fake_arxiv = SimpleNamespace(
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Search=FakeSearch,
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Client=FakeClient,
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SortCriterion=SimpleNamespace(
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Relevance="relevance",
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LastUpdatedDate="lastUpdatedDate",
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SubmittedDate="submittedDate",
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),
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)
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monkeypatch.setitem(sys.modules, "arxiv", fake_arxiv)
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result = asyncio.run(public_data_tools.search_arxiv(
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"transformer", max_results=3, sort_by="submittedDate"
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))
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payload = json.loads(result.text)
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assert observed["search"] == {
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"query": "transformer",
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"max_results": 3,
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"sort_by": "submittedDate",
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}
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assert observed["client"] == {
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"page_size": 3,
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"delay_seconds": 3.0,
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"num_retries": 3,
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}
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assert payload["success"] is True
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assert payload["message"]["count"] == 1
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def test_download_paper_case_insensitive_arxiv_prefix(monkeypatch, tmp_path):
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import arxiv_enhanced
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class FakeResponse:
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content = b"%PDF-1.7\n" + b"0" * 1000
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headers = {"content-type": "application/pdf"}
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def raise_for_status(self):
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pass
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class FakeClient:
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async def __aenter__(self):
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return self
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async def __aexit__(self, *_args):
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pass
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async def get(self, _url):
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return FakeResponse()
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monkeypatch.setattr(arxiv_enhanced.httpx, "AsyncClient", FakeClient)
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result = asyncio.run(
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arxiv_enhanced.download_paper("arXiv:2301.07041", download_dir=str(tmp_path))
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)
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payload = json.loads(result.text)
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assert payload["success"] is True
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assert payload["message"]["paper_id"] == "2301.07041"
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