lenovo

PSA/01 PSA.py

@@ -1,11 +1,11 @@
-import firebirdsql as fb
+import firebirdsql as fb,os
 import pandas as pd
 
 # TCP to the Firebird 2.5 server. Use the DB path as seen by the *server* (Windows path).
 conn = fb.connect(
-    host="192.168.1.4",
+    host="192.168.1.10",
     port=3050,
-    database=r"z:\Medicus 3\data\MEDICUS.FDB",  # raw string for backslashes
+    database=r"m:\Medicus\data\MEDICUS.FDB",  # raw string for backslashes
     user="SYSDBA",
     password="masterkey",
     charset="WIN1250",  # adjust if needed
@@ -49,7 +49,7 @@ SELECT
     FROM dokladd dd
     WHERE dd.rodcis = kar.rodcis
       AND (dd.kod = '01130' or dd.kod = '01131' OR dd.kod = '01132' OR dd.kod = '01133' OR dd.kod = '01134')
-      AND dd.datose BETWEEN vh.datum - 7 AND vh.datum + 7
+      AND dd.datose BETWEEN vh.datum - 365 AND vh.datum + 365
   ) AS vykodovano,
    lm.kodtext,
   lm.nazev,
@@ -119,11 +119,23 @@ from openpyxl.formatting.rule import ColorScaleRule
 from openpyxl.styles import PatternFill
 from openpyxl.formatting.rule import FormulaRule
 
-# ---- 1) Build timestamped output path ----
-base_path = Path("u:\Dropbox\!!!Days\Downloads Z230")
-base_path.mkdir(parents=True, exist_ok=True)  # ensure folder exists
-timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-output_file = base_path / f"lab_results_2025_{timestamp}.xlsx"
+
+base_path = Path(r"z:\Dropbox\Ordinace\Reporty")
+base_path.mkdir(parents=True, exist_ok=True)
+
+# ================= DELETE OLD PSA REPORTS ==================
+for fname in os.listdir(base_path):
+    if fname.endswith("PSA report.xlsx"):
+        try:
+            os.remove(base_path / fname)
+            print(f"🗑️ Deleted old PSA report: {fname}")
+        except Exception as e:
+            print(f"⚠️ Could not delete {fname}: {e}")
+
+# ================= CREATE NEW FILENAME ==================
+timestamp = datetime.now().strftime("%Y-%m-%d %H-%M-%S")
+output_file = base_path / f"{timestamp} PSA report.xlsx"
+print(f"📄 New PSA report will be saved as: {output_file}")
 
 # ---- 2) Export DataFrame to Excel ----
 # Assumes df_direct already exists (your joined query result)