Testing solara deployment

.github/workflows/sync-hf.yml

@@ -0,0 +1,20 @@
+name: Sync to Hugging Face hub
+on:
+  push:
+    branches: [main]
+
+  # to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+jobs:
+  sync-to-hub:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+          lfs: true
+      - name: Push to hub
+        env:
+          HF_TOKEN: ${{ secrets.HF_DEPLOY_TOKEN }}
+        run: git push --force https://jordancaraballo:[email protected]/spaces/jordancaraballo/alaska-wildfire-occurrence main

Dockerfile

@@ -0,0 +1,21 @@
+FROM jupyter/base-notebook:latest
+
+RUN mamba install -c conda-forge leafmap geopandas localtileserver -y && \
+    fix-permissions "${CONDA_DIR}" && \
+    fix-permissions "/home/${NB_USER}"
+
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+
+RUN mkdir ./pages
+COPY /pages ./pages
+
+ENV PROJ_LIB='/opt/conda/share/proj'
+
+USER root
+RUN chown -R ${NB_UID} ${HOME}
+USER ${NB_USER}
+
+EXPOSE 8765
+
+CMD ["solara", "run", "./pages", "--host=0.0.0.0"]

README.md

@@ -1,3 +1,14 @@
+---
+title: Alaska Wildfire Occurrence
+emoji: 🔥
+colorFrom: green
+colorTo: red
+sdk: docker
+pinned: false
+license: apache
+app_port: 7860
+---
+
 # wildfire-occurrence
 
 Wildfire occurrence modeling using Terrestrial Ecosystem Models and Artificial Intelligence
@@ -10,6 +21,64 @@ Wildfire occurrence modeling using Terrestrial Ecosystem Models and Artificial I
 - 30m local Alaska models, 1km circumpolar models
 - Integration of precipitation, temperature and lightning datasets
 
+## Datasets
+
+1. Daily Fire Ignition Points
+
+```bash
+```
+
+2. Daily Area Burned
+
+The dataset comes from https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1559 for 2001-2019. This dataset
+will be extended for 2020-2025. Dataset is located under /explore/nobackup/projects/ilab/projects/LobodaTFO/data/raw_data/ABoVE_DoB.
+
+```bash
+python DAACDataDownload.py -dir /explore/nobackup/projects/ilab/projects/LobodaTFO/data/raw_data/ABoVE_DoB -f URL_FROM_ORDER
+```
+
+3. Annual Fuel Composition
+
+```bash
+```
+
+4. Human Accesibility
+
+```bash
+```
+
+5. Topographic Influence
+
+```bash
+```
+
+All datasets described above will be delivered in the 1 km modeling grid for tundra ecoregions.
+
+## Containers
+
+### Python Container
+
+```bash
+module load singularity
+singularity build --sandbox /lscratch/$USER/container/wildfire-occurrence docker://nasanccs/wildfire-occurrence:latest
+```
+
+## Extracting variables from WRF
+
+```bash
+singularity shell --nv -B /explore/nobackup/projects/ilab,/explore/nobackup/projects/3sl,$NOBACKUP,/lscratch,/explore/nobackup/people /lscratch/jacaraba/container/wildfire-occurrence/
+python wrf_analysis.py 
+```
+
+## Dataset Generation and Training
+
+```bash
+singularity exec --env PYTHONPATH="/explore/nobackup/people/jacaraba/development/wildfire-occurrence" --nv -B /explore/nobackup/projects/ilab,/explore/nobackup/projects/3sl,$NOBACKUP,/lscratch,/explore/nobackup/people /lscratch/jacaraba/container/wildfire-occurrence python /explore/nobackup/people/jacaraba/development/wildfire-occurrence/wildfire_occurrence/model/lightning/lightning_model.py
+```
+
+(base) [jacaraba@gpu021 ~]$ singularity exec --env PYTHONPATH="/explore/nobackup/people/jacaraba/development/wildfire-occurrence" --nv -B /explore/nobackup/projects/ilab,/explore/nobackup/projects/3sl,$NOBACKUP,/lscratch,/explore/nobackup/people /lscratch/jacaraba/container/wildfire-occurrence python /explore/nobackup/people/jacaraba/development/wildfire-occurrence/wildfire_occurrence/model/lightning/lightning_model.py 
+
+
 ## Contributors
 
 - Jordan Alexis Caraballo-Vega, [email protected]

pages/00_home.py

@@ -0,0 +1,14 @@
+import solara
+
+@solara.component
+def Page():
+
+    markdown = """
+    ## Alpha Version - Alaskan Tundra 10-day Lightning Forecast
+
+    Cloud to ground lightning 10-day lightning forecast for the Alaskan tundra.
+    This is still work in progress and under development.
+
+    """
+
+    solara.Markdown(markdown)

pages/01_ipyleaflet.py

@@ -0,0 +1,44 @@
+import ipyleaflet
+import solara
+import ipywidgets as widgets
+
+zoom = solara.reactive(2)
+center = solara.reactive((20, 0))
+
+
+class Map(ipyleaflet.Map):
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.layout.height = '600px'
+        # Add what you want below
+
+        label = widgets.Label('Clicked location')
+        output = widgets.Output()
+        widget = widgets.VBox([label, output])
+        control = ipyleaflet.WidgetControl(widget=widget, position='bottomright')
+        self.add_control(control)
+        
+        def handle_interaction(**kwargs):
+            latlon = kwargs.get("coordinates")
+            if kwargs.get("type") == "click":
+                with output:
+                    output.clear_output()
+                    print(latlon)
+
+        self.on_interaction(handle_interaction)
+
+
+@solara.component
+def Page():
+    with solara.Column(style={"min-width": "500px"}):
+        solara.SliderInt(label="Zoom level", value=zoom, min=1, max=20)
+        Map.element(
+            zoom=zoom.value,
+            on_zoom=zoom.set,
+            center=center.value,
+            on_center=center.set,
+            scroll_wheel_zoom=True,
+
+        )
+        solara.Text(f"Zoom: {zoom.value}")
+        solara.Text(f"Center: {center.value}")

requirements.txt

@@ -0,0 +1,5 @@
+geemap>=0.21.0
+leafmap
+mapwidget
+solara
+geopandas

requirements/Dockerfile.Python

@@ -4,7 +4,7 @@ LABEL maintainer="[email protected]"
 ENV TFC_VERSION=0.1.1
 ENV VHR_CNN_CHM_VERSION=main
 
-RUN pip install wrf-python xwrf netCDF4
+RUN pip install wrf-python xwrf netCDF4 metpy
 
 HEALTHCHECK NONE
 ENTRYPOINT [""]