"""Tests for context builder media handling. The ContextBuilder._build_user_content method should ONLY handle images. Document text extraction is the responsibility of the API layer. """ from __future__ import annotations from pathlib import Path from nanobot.agent.context import ContextBuilder def _make_builder(tmp_path: Path) -> ContextBuilder: """Create a minimal ContextBuilder for testing.""" return ContextBuilder(workspace=tmp_path, timezone="UTC") def test_build_user_content_with_no_media_returns_string(tmp_path: Path) -> None: builder = _make_builder(tmp_path) result = builder._build_user_content("hello", None) assert result == "hello" def test_build_user_content_with_image_returns_list(tmp_path: Path) -> None: """Image files should produce base64 content blocks.""" builder = _make_builder(tmp_path) png = tmp_path / "test.png" png.write_bytes(b"\x89PNG\r\n\x1a\n" + b"\x00" * 100) result = builder._build_user_content("describe this", [str(png)]) assert isinstance(result, list) types = [b["type"] for b in result] assert "image_url" in types assert "text" in types def test_build_user_content_ignores_non_image_files(tmp_path: Path) -> None: """Non-image files should be silently skipped — extraction is not context builder's job.""" builder = _make_builder(tmp_path) txt = tmp_path / "notes.txt" txt.write_text("some text", encoding="utf-8") result = builder._build_user_content("summarize", [str(txt)]) assert result == "summarize" def test_build_user_content_mixed_image_and_non_image(tmp_path: Path) -> None: """Only images should be included; non-image files are skipped.""" builder = _make_builder(tmp_path) png = tmp_path / "chart.png" png.write_bytes(b"\x89PNG\r\n\x1a\n" + b"\x00" * 100) txt = tmp_path / "report.txt" txt.write_text("report text", encoding="utf-8") result = builder._build_user_content("analyze", [str(png), str(txt)]) assert isinstance(result, list) assert any(b["type"] == "image_url" for b in result) text_parts = [b.get("text", "") for b in result if b.get("type") == "text"] assert all("report text" not in t for t in text_parts)