feat: add agentic video analysis and clarify action results
Report device actions as dispatched and preserve full failure details. Route Flash through McpActionExecutor and use ToolFailure across helper tools and agent loops instead of inferring failure from response text. Require model-provided descriptions for coordinate targets. Keep observed element metadata separate from those descriptions in safety checks, visual summaries, history, and frontend labels. Add Gemini Interactions API video analysis with configurable processing mode, chunk size, and timeouts. Centralize Google provider capabilities and token usage normalization, and update google-genai to 2.22.0. Preserve system instructions on follow-up interactions, replan pending chunks when falling back to static processing, and reject unanswered native video and audio segments instead of caching placeholder results. Keep helper-tool failure status intact through history tools and committee calls. Validation: 1,762 Python unit tests passed (3 skipped), 40 frontend formatter tests passed, and the production UI build completed. Ruff lint, formatting, the quality ratchet, and git diff checks passed.
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@@ -12,9 +12,9 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Tests for record-time action semantics enrichment (element hit testing)."""
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"""Tests for element hit testing (used by the Explorer's candidate de-dup)."""
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from artemis.utils.element_hit_test import find_element_at_point, hit_test_semantics
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from artemis.utils.element_hit_test import find_element_at_point
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def _xml_el(text, bounds, resource_id=None, cls="android.widget.TextView"):
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@@ -37,14 +37,6 @@ def test_smallest_covering_element_wins():
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assert source == "hit_test"
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assert el["text"] == "Button"
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semantics = hit_test_semantics(elements, 250, 230)
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assert semantics == {
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"target_label_source": "hit_test",
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"target_text": "Button",
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"target_class": "android.widget.TextView",
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"target_resource_id": "btn_ok",
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}
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def test_xml_element_preferred_over_smaller_ocr_element():
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elements = [
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@@ -73,11 +65,9 @@ def test_ocr_fallback_when_no_xml_element_covers_point():
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"is_ocr": True,
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},
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]
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semantics = hit_test_semantics(elements, 150, 150)
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assert semantics["target_label_source"] == "ocr"
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assert semantics["target_text"] == "OCR Label"
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assert "target_class" not in semantics
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assert "target_resource_id" not in semantics
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el, source = find_element_at_point(elements, 150, 150)
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assert source == "ocr"
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assert el["text"] == "OCR Label"
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def test_string_bounds_are_parsed():
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@@ -88,13 +78,12 @@ def test_string_bounds_are_parsed():
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def test_graceful_degradation_to_none():
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# No elements at all
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assert hit_test_semantics(None, 100, 100) == {"target_label_source": "none"}
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assert hit_test_semantics([], 100, 100) == {"target_label_source": "none"}
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assert find_element_at_point(None, 100, 100) == (None, "none")
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assert find_element_at_point([], 100, 100) == (None, "none")
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# Point outside every element
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elements = [_xml_el("Item", [0, 0, 50, 50])]
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assert hit_test_semantics(elements, 500, 500) == {"target_label_source": "none"}
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assert find_element_at_point(elements, 500, 500) == (None, "none")
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# Malformed element data must not raise
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malformed = [
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@@ -105,10 +94,4 @@ def test_graceful_degradation_to_none():
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"not-a-dict",
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None,
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]
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assert hit_test_semantics(malformed, 10, 10) == {"target_label_source": "none"}
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def test_element_without_optional_fields_only_reports_source():
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elements = [{"text": "", "bounds": [0, 0, 100, 100], "class": None, "resource_id": None}]
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semantics = hit_test_semantics(elements, 50, 50)
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assert semantics == {"target_label_source": "hit_test"}
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assert find_element_at_point(malformed, 10, 10) == (None, "none")
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