test: cover VisualAgent MainPrompt._parse_answer aggregation

tests/agents/test_visual_agent_prompt.py

@@ -0,0 +1,59 @@
+from copy import deepcopy
+
+from agentlab.agents.visual_agent.agent_configs import DEFAULT_PROMPT_FLAGS
+from agentlab.agents.visual_agent.visual_agent_prompts import MainPrompt
+
+OBS = {
+    "goal_object": [{"type": "text", "text": "do this and that"}],
+    "chat_messages": [{"role": "user", "message": "do this and that"}],
+    "last_action_error": "",
+    "open_pages_urls": ["https://example.com"],
+    "open_pages_titles": ["Example"],
+    "active_page_index": 0,
+}
+
+ANSWER = """
+<think>
+I should click on the login button.
+</think>
+<action>
+mouse_click(324, 512)
+</action>
+"""
+
+
+def make_prompt(flags):
+    return MainPrompt(
+        action_set=flags.action.action_set.make_action_set(),
+        obs=OBS,
+        actions=["mouse_click(1, 2)"],
+        thoughts=["thought A"],
+        flags=flags,
+    )
+
+
+def test_parse_answer_merges_think_and_action():
+    ans_dict = make_prompt(deepcopy(DEFAULT_PROMPT_FLAGS))._parse_answer(ANSWER)
+
+    assert ans_dict["think"].strip() == "I should click on the login button."
+    assert ans_dict["action"].strip() == "mouse_click(324, 512)"
+    assert "parse_error" not in ans_dict
+
+
+def test_parse_answer_without_thinking():
+    flags = deepcopy(DEFAULT_PROMPT_FLAGS)
+    flags.use_thinking = False
+
+    ans_dict = make_prompt(flags)._parse_answer(ANSWER)
+
+    assert "think" not in ans_dict
+    assert ans_dict["action"].strip() == "mouse_click(324, 512)"
+
+
+def test_parse_answer_reports_missing_think():
+    ans_dict = make_prompt(deepcopy(DEFAULT_PROMPT_FLAGS))._parse_answer(
+        "<action>\nmouse_click(1, 2)\n</action>"
+    )
+
+    assert "parse_error" in ans_dict
+    assert ans_dict["action"].strip() == "mouse_click(1, 2)"