mirror of
https://github.com/sunnypilot/sunnypilot.git
synced 2026-08-24 04:23:47 +08:00
Merge branch 'master' into ccnc-port
This commit is contained in:
@@ -211,6 +211,8 @@ jobs:
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needs: [ prepare_strategy ]
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runs-on: ubuntu-24.04
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if: ${{ needs.prepare_strategy.outputs.include_big_model == 'true' }}
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outputs:
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onnx_sha256: ${{ steps.resolve.outputs.onnx_sha256 }}
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env:
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HF_REPO: sunnypilot/sunnypilot_models_v1
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HF_DEFAULTS_PATH: models/defaults/big
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@@ -226,6 +228,7 @@ jobs:
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run: |
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ACTUAL_ONNX_HASH=$(sha256sum "openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx" | cut -d' ' -f1)
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echo "Repo ONNX hash: $ACTUAL_ONNX_HASH"
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echo "onnx_sha256=$ACTUAL_ONNX_HASH" >> $GITHUB_OUTPUT
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JSON_URL="https://huggingface.co/datasets/${HF_REPO}/resolve/main/${HF_DEFAULTS_PATH}/default_models.json"
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@@ -267,36 +270,6 @@ jobs:
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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- name: Download big model chunks
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run: |
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ACTUAL_ONNX_HASH=$(sha256sum "openpilot/selfdrive/modeld/models/big_driving_supercombo.onnx" | cut -d' ' -f1)
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JSON_URL="https://huggingface.co/datasets/${HF_REPO}/resolve/main/${HF_DEFAULTS_PATH}/default_models.json"
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DEFAULTS=$(curl -fsSL "$JSON_URL")
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BUNDLE=$(echo "$DEFAULTS" | jq --arg hash "$ACTUAL_ONNX_HASH" '.bundles[] | select(.onnx_sha256 == $hash)')
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mkdir -p big_model_chunks
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ARTIFACT=$(echo "$BUNDLE" | jq -r '.models[0].artifact')
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BASE_URL=$(echo "$ARTIFACT" | jq -r '.download_uri.url' | sed 's|/[^/]*$||')
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NUM_CHUNKS=$(echo "$ARTIFACT" | jq -r '.chunks | length')
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CANONICAL="big_driving_tinygrad.pkl"
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echo "$ARTIFACT" | jq -r '.chunks[].file_name' | while read CHUNK_NAME; do
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CHUNK_IDX=$(echo "$CHUNK_NAME" | grep -oP 'chunk\K[0-9]+of[0-9]+')
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CANONICAL_CHUNK="${CANONICAL}.chunk${CHUNK_IDX}"
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ENCODED_URL=$(python3 -c "import urllib.parse; print(urllib.parse.quote('${BASE_URL}/${CHUNK_NAME}', safe=':/'))")
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echo "Downloading $CHUNK_NAME -> $CANONICAL_CHUNK"
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curl -fsSL -o "big_model_chunks/${CANONICAL_CHUNK}" "$ENCODED_URL"
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done
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echo "$NUM_CHUNKS" > "big_model_chunks/${CANONICAL}.chunkmanifest"
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- name: Upload big model chunks
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uses: actions/upload-artifact@v4
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with:
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name: big-model-chunks
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path: big_model_chunks/
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compression-level: 0
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- name: Cancel run on failure
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if: failure()
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run: gh run cancel ${{ github.run_id }}
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@@ -339,12 +312,32 @@ jobs:
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mkdir -p "${{ github.workspace }}/chestnut_output"
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tar xzf prebuilt.tar.gz -C "${{ github.workspace }}/chestnut_output"
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- name: Download big model chunks
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- name: Download big model chunks from HF
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if: ${{ needs.prepare_chestnut.result == 'success' }}
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uses: actions/download-artifact@v4
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with:
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name: big-model-chunks
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path: big_model_chunks
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env:
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HF_REPO: sunnypilot/sunnypilot_models_v1
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HF_DEFAULTS_PATH: models/defaults/big
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run: |
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ONNX_HASH="${{ needs.prepare_chestnut.outputs.onnx_sha256 }}"
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JSON_URL="https://huggingface.co/datasets/${HF_REPO}/resolve/main/${HF_DEFAULTS_PATH}/default_models.json"
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DEFAULTS=$(curl -fsSL "$JSON_URL")
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BUNDLE=$(echo "$DEFAULTS" | jq --arg hash "$ONNX_HASH" '.bundles[] | select(.onnx_sha256 == $hash)')
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mkdir -p big_model_chunks
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ARTIFACT=$(echo "$BUNDLE" | jq -r '.models[0].artifact')
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BASE_URL=$(echo "$ARTIFACT" | jq -r '.download_uri.url' | sed 's|/[^/]*$||')
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NUM_CHUNKS=$(echo "$ARTIFACT" | jq -r '.chunks | length')
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CANONICAL="big_driving_tinygrad.pkl"
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echo "$ARTIFACT" | jq -r '.chunks[].file_name' | while read CHUNK_NAME; do
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CHUNK_IDX=$(echo "$CHUNK_NAME" | grep -oP 'chunk\K[0-9]+of[0-9]+')
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CANONICAL_CHUNK="${CANONICAL}.chunk${CHUNK_IDX}"
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ENCODED_URL=$(python3 -c "import urllib.parse; print(urllib.parse.quote('${BASE_URL}/${CHUNK_NAME}', safe=':/'))")
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echo "Downloading $CHUNK_NAME -> $CANONICAL_CHUNK"
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curl -fsSL -o "big_model_chunks/${CANONICAL_CHUNK}" "$ENCODED_URL"
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done
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echo "$NUM_CHUNKS" > "big_model_chunks/${CANONICAL}.chunkmanifest"
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- name: Inject big model into chestnut
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if: ${{ needs.prepare_chestnut.result == 'success' }}
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@@ -178,27 +178,14 @@ class ModelsLayout(Widget):
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# circled_slash is authored grey; tinting it again only darkens it
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return {"name": name, "text_color": rl.GRAY, "icon": "icons/circled_slash.png", "icon_color": rl.WHITE}
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@staticmethod
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def _show_reset_params_dialog():
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def _callback(response):
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if response == DialogResult.CONFIRM:
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ui_state.params.remove("CalibrationParams")
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ui_state.params.remove("LiveTorqueParameters")
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msg = tr("Model download has started in the background. We suggest resetting calibration. Would you like to do that now?")
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dialog = ConfirmDialog(msg, tr("Reset Calibration"), callback=_callback)
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gui_app.push_widget(dialog)
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def _on_model_selected(self, result):
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if result != DialogResult.CONFIRM:
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return
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selected_ref = self.model_dialog.selection_ref
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if selected_ref == "Default":
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ui_state.params.remove("ModelManager_ActiveBundle")
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self._show_reset_params_dialog()
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elif selected_bundle := next((bundle for bundle in self.model_manager.availableBundles if bundle.ref == selected_ref), None):
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ui_state.params.put("ModelManager_DownloadIndex", selected_bundle.index)
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if self.model_manager.activeBundle and selected_bundle.generation != self.model_manager.activeBundle.generation:
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self._show_reset_params_dialog()
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self.model_dialog = None
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@staticmethod
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@@ -8,6 +8,7 @@ from openpilot.common.filter_simple import FirstOrderFilter
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from openpilot.selfdrive.ui.ui_state import ui_state, UIStatus
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from openpilot.selfdrive.ui.sunnypilot.onroad.chevron_metrics import ChevronMetrics
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from openpilot.selfdrive.ui.sunnypilot.onroad.rainbow_path import RainbowPath
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from openpilot.selfdrive.ui.sunnypilot.ui_state import MADSState
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from openpilot.system.ui.lib.application import gui_app
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@@ -19,6 +20,11 @@ class ModelRendererSP:
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@property
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def _lateral_active(self) -> bool:
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sm = ui_state.sm
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if sm.valid["selfdriveStateSP"]:
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mads = sm["selfdriveStateSP"].mads
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if mads.available:
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return mads.enabled and mads.state != MADSState.paused
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return ui_state.status in (UIStatus.ENGAGED, UIStatus.LAT_ONLY)
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def _get_path_half_width(self) -> float:
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@@ -143,13 +143,17 @@ class ModelManagerSP:
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is_cached = False
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if len(artifact.chunks) > 0:
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from openpilot.common.file_chunker import get_chunk_name
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num_chunks = len(artifact.chunks)
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chunks_valid = True
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for i, chunk in enumerate(artifact.chunks):
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chunk_path = get_chunk_name(full_path, i, len(artifact.chunks))
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chunk_path = get_chunk_name(full_path, i, num_chunks)
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if not await verify_file(chunk_path, chunk.sha256):
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chunks_valid = False
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break
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if chunks_valid and len(artifact.chunks) > 0:
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artifact.downloadProgress.progress = ((i + 1) / num_chunks) * 100
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self._sync_artifact_progress(artifact)
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self._report_status()
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if chunks_valid and num_chunks > 0:
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is_cached = True
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else:
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if await verify_file(full_path, expected_hash):
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@@ -216,6 +220,9 @@ class ModelManagerSP:
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"""Downloads all models in a bundle"""
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self.selected_bundle = model_bundle
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self.selected_bundle.status = custom.ModelManagerSP.DownloadStatus.downloading
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for model in self.selected_bundle.models:
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model.artifact.downloadProgress.status = custom.ModelManagerSP.DownloadStatus.downloading
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self._report_status()
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os.makedirs(destination_path, exist_ok=True)
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try:
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@@ -260,7 +267,9 @@ class ModelManagerSP:
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self.active_bundle = get_active_bundle(self.params)
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if (index_to_download := self.params.get("ModelManager_DownloadIndex")) is not None:
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if model_to_download := next((model for model in self.available_models if model.index == index_to_download), None):
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if self.active_bundle and self.active_bundle.index == index_to_download:
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self.params.remove("ModelManager_DownloadIndex")
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elif model_to_download := next((model for model in self.available_models if model.index == index_to_download), None):
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try:
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self.download(model_to_download, Paths.model_root())
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except Exception as e:
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@@ -83,9 +83,14 @@ class TestLocationdProc(OpenpilotTestCase):
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self.pm.send(msg.which(), msg)
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if msg.which() == "cameraOdometry":
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self.pm.wait_for_readers_to_update(msg.which(), timeout=1, dt=0.005)
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time.sleep(1) # wait for async params write
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for _ in range(50):
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val = self.params.get('LastGPSPositionLLK')
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if val is not None:
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break
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time.sleep(0.1)
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lastGPS = json.loads(self.params.get('LastGPSPositionLLK'))
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self.assertIsNotNone(val, "LastGPSPositionLLK not written within 5s")
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lastGPS = json.loads(val)
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self.assertAlmostEqual(lastGPS['latitude'], self.lat, delta=0.001)
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self.assertAlmostEqual(lastGPS['longitude'], self.lon, delta=0.001)
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self.assertAlmostEqual(lastGPS['altitude'], self.alt, delta=0.001)
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@@ -28,7 +28,8 @@ from websocket import (ABNF, WebSocket, WebSocketException, WebSocketTimeoutExce
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create_connection, WebSocketConnectionClosedException)
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import openpilot.cereal.messaging as messaging
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from openpilot.sunnypilot.models.default_model import get_default_model
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from openpilot.selfdrive.modeld.helpers import usbgpu_present, usbgpu_compiled
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from openpilot.sunnypilot.models.model_name import DEFAULT_MODEL, DEFAULT_BIG_MODEL
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from openpilot.sunnypilot.selfdrive.car.sync_sunnylink_params import update_car_list_param
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from openpilot.sunnypilot.sunnylink.api import SunnylinkApi
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from openpilot.sunnypilot.sunnylink.utils import sunnylink_need_register, sunnylink_ready, get_param_as_byte, save_param_from_base64_encoded_string
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@@ -181,7 +182,10 @@ def getParamsMetadata() -> str:
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schema = generate_schema()
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schema["capabilities"] = generate_capabilities()
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schema["capability_labels"] = CAPABILITY_LABELS
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schema["default_model"] = get_default_model()
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# mirrors get_default_model() — ui_state unavailable in sunnylinkd process
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show_big = (usbgpu_present() and usbgpu_compiled()
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and (params.get_bool("UsbGpuActive") or params.get_bool("UsbGpuLoading") or params.get_bool("IsOffroad")))
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schema["default_model"] = DEFAULT_BIG_MODEL if show_big else DEFAULT_MODEL
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raw = json.dumps(schema, separators=(",", ":")).encode("utf-8")
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return base64.b64encode(gzip.compress(raw)).decode("utf-8")
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except Exception:
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