Report_AgendaPozadavky: fix deduplication, UTF-8 output, export path

- Fix deduplication: deduplicate only by Request_ID (not Patient+Title combo)
- Reservations without Request_ID are kept as-is
- Add UTF-8 stdout fix for Windows console (emoji support)
- Change export dir to u:\Dropbox\!!!Days\Downloads Z230
- Rename response variable r → response to avoid collision with loop variable

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Medevio/40 agenda a požadavky/Report_AgendaPozadavky.py

@@ -9,6 +9,15 @@ Full Medevio Report:
 - Vaccine sheets (from merged data)
 """
 
+import sys
+try:
+    sys.stdout.reconfigure(encoding="utf-8")
+    sys.stderr.reconfigure(encoding="utf-8")
+except AttributeError:
+    import io
+    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8")
+    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding="utf-8")
+
 import re
 import json
 import pymysql
@@ -38,7 +47,7 @@ DB_CONFIG = {
     "cursorclass": pymysql.cursors.DictCursor,
 }
 
-EXPORT_DIR = Path(r"u:\Dropbox\Ordinace\Reporty")
+EXPORT_DIR = Path(r"u:\Dropbox\!!!Days\Downloads Z230")
 EXPORT_DIR.mkdir(exist_ok=True, parents=True)
 
 # Delete previous reports
@@ -143,9 +152,9 @@ payload = {
       }""",
 }
 
-r = requests.post(GRAPHQL_URL, headers=headers, data=json.dumps(payload))
+response = requests.post(GRAPHQL_URL, headers=headers, data=json.dumps(payload))
-r.raise_for_status()
+response.raise_for_status()
-resp = r.json()
+resp = response.json()
 if "errors" in resp or "data" not in resp:
     print("❌ API response:")
     print(json.dumps(resp, indent=2, ensure_ascii=False))
@@ -245,12 +254,15 @@ df_agenda["Source"] = "Agenda"
 df_open["Source"] = "Open"
 
 df_merged = pd.concat([df_agenda, df_open], ignore_index=True).fillna("")
+# "Agenda" < "Open" alphabetically → Agenda rows come first after sort
 df_merged = df_merged.sort_values(["Source"], ascending=[True])
 
-# drop duplicates — prefer Agenda if same Request_ID or same (Patient+Title)
+# Deduplicate by Request_ID only where non-empty (Agenda preferred over Open)
-df_merged = df_merged.drop_duplicates(
+# Rows without Request_ID (pure reservations) are always kept as-is
-    subset=["Request_ID", "Patient", "Title"], keep="first"
+mask_has_id = df_merged["Request_ID"] != ""
-)
+df_with_id = df_merged[mask_has_id].drop_duplicates(subset=["Request_ID"], keep="first")
+df_no_id = df_merged[~mask_has_id]
+df_merged = pd.concat([df_with_id, df_no_id], ignore_index=True)
 
 df_merged = df_merged.drop(columns=["Source"], errors="ignore")
 df_merged = df_merged.sort_values(["Date", "Time"], na_position="last").reset_index(