alina chart

vivohost/generateAlinaChart.py

@@ -1,6 +1,7 @@
 import pandas as pd
 import matplotlib.pyplot as plt
 import os
+import socket
 
 def interpolate_daily(df):
     df = df.copy()
@@ -66,9 +67,19 @@ def plot_percentiles(ax, x, data_dict, p_keys, colors=None, linewidths=None, lab
 
     return ax
 
+hostname = socket.gethostname()
+if hostname == "quiethost":
+
 # Build output path from ods_path
-ods_path = "/data/Nextcloud/Documents/Dokumente/Shared/Alina/WachstumsDatenWHO.ods"
-csv_path = "/data/Nextcloud/Documents/Dokumente/Shared/Alina/WachstumAlina.csv"
+    ods_path = "/data/Nextcloud/Documents/Dokumente/Shared/Alina/Wachstum/WachstumsDatenWHO.ods"
+    csv_path = "/data/Nextcloud/Documents/Dokumente/Shared/Alina/Wachstum/WachstumAlina.csv"
+elif hostname == "serverhost":
+    print("Serverhost Mode")
+    import subprocess
+
+    subprocess.run(["bash", "/home/lucas/scripts/serverhost/syncNC.sh", "-al"])
+    ods_path = "/home/lucas/Documents/Dokumente/Shared/Alina/Wachstum/WachstumsDatenWHO.ods"
+    csv_path = "/home/lucas/Documents/Dokumente/Shared/Alina/Wachstum/WachstumAlina.csv"
 output_dir = os.path.dirname(ods_path)
 output_path = os.path.join(output_dir, "WachstumAlina.png")
 
@@ -101,7 +112,7 @@ who_weight_daily = interpolate_daily(who_weight_df)
 who_height_daily = interpolate_daily(who_height_df)
 who_head_daily   = interpolate_daily(who_head_df)
 
-
+print(alina_df["Datum"])
 # Plot
 last_alina_date = alina_df["Datum"].max() + pd.DateOffset(months=2)
 x = who_weight_daily["Datum"][who_weight_daily["Datum"] <= last_alina_date]
@@ -247,4 +258,10 @@ plt.tight_layout()
 plt.savefig(output_path, dpi=150)
 plt.close()
 
+if hostname == "serverhost":
+    print("Serverhost Mode")
+    import subprocess
+
+    subprocess.run(["bash", "/home/lucas/scripts/serverhost/syncNC.sh", "-al"])
+
 print("Fin")