surface paths

streamlit_app.py

@@ -15,9 +15,12 @@ import xarray as xr
 from huggingface_hub import hf_hub_download
 
 
+REPO_ID = "ymsun99/X-MethaneWet"
 DATA_ROOT = Path("data/x-methanewet")
-FLUXNET_META_FILE = DATA_ROOT / "FLUXNET-CH4/FLUXNET_CH4_2024.csv"
-FLUXNET_DAILY_FILE = DATA_ROOT / "FLUXNET-CH4/FLUXNET_T1_DD.csv"
+FLUXNET_META_PATH = "FLUXNET-CH4/FLUXNET_CH4_2024.csv"
+FLUXNET_DAILY_PATH = "FLUXNET-CH4/FLUXNET_T1_DD.csv"
+FLUXNET_META_FILE = DATA_ROOT / FLUXNET_META_PATH
+FLUXNET_DAILY_FILE = DATA_ROOT / FLUXNET_DAILY_PATH
 TEM_YEARS = [1990, 2005, 2018]
 DEFAULT_SITE = "BW.Gum"
 
@@ -26,7 +29,7 @@ DEFAULT_SITE = "BW.Gum"
 def load_fluxnet_meta() -> pd.DataFrame:
     """Load FLUXNET site metadata."""
     path = FLUXNET_META_FILE if FLUXNET_META_FILE.exists() else download_file(
-        "FLUXNET-CH4/FLUXNET_CH4_2024.csv"
+        FLUXNET_META_PATH
     )
     return pd.read_csv(path)
 
@@ -35,7 +38,7 @@ def load_fluxnet_meta() -> pd.DataFrame:
 def load_fluxnet_daily() -> pd.DataFrame:
     """Load FLUXNET daily methane data."""
     path = FLUXNET_DAILY_FILE if FLUXNET_DAILY_FILE.exists() else download_file(
-        "FLUXNET-CH4/FLUXNET_T1_DD.csv"
+        FLUXNET_DAILY_PATH
     )
     return pd.read_csv(path)
 
@@ -57,7 +60,7 @@ def normalize_site_id(site_id: str) -> str:
 
 def download_file(filename: str) -> Path:
     """Download a dataset file from the HF Hub (used on Spaces)."""
-    path = hf_hub_download(repo_id="ymsun99/X-MethaneWet", filename=filename, repo_type="dataset")
+    path = hf_hub_download(repo_id=REPO_ID, filename=filename, repo_type="dataset")
     return Path(path)