update

scripts/reports/fetch_monthly_report_data.py

@@ -123,6 +123,35 @@ def parse_history_month(value):
     return text
 
 
+def month_locative(month):
+    names = {
+        "01": "styczniu",
+        "02": "lutym",
+        "03": "marcu",
+        "04": "kwietniu",
+        "05": "maju",
+        "06": "czerwcu",
+        "07": "lipcu",
+        "08": "sierpniu",
+        "09": "wrześniu",
+        "10": "październiku",
+        "11": "listopadzie",
+        "12": "grudniu",
+    }
+    return names.get(str(month)[5:7], str(month))
+
+
+def normalize_month_reference(text, month):
+    """Keep SEO worksheet text aligned with the report month when row date matches."""
+    target = month_locative(month)
+    return re.sub(
+        r"^W miesiącu [A-Za-ząćęłńóśźżĄĆĘŁŃÓŚŹŻ]+",
+        f"W {target}",
+        text,
+        count=1,
+    )
+
+
 def parse_sheet_config(sheet_config):
     value = str(sheet_config or "").strip()
     if not value:
@@ -192,6 +221,43 @@ def fetch_sales_history_from_sheet(domain, sheet_config):
     return sorted(history, key=lambda item: item["month"])
 
 
+def fetch_seo_text_rows_from_sheet(sheet_config, month):
+    """Fetch monthly SEO text rows from a public Google Sheet CSV export."""
+    spreadsheet_id, gid = parse_sheet_config(sheet_config)
+    export_url = f"https://docs.google.com/spreadsheets/d/{spreadsheet_id}/gviz/tq?tqx=out:csv"
+    if gid:
+        export_url += f"&gid={gid}"
+    response = requests.get(export_url, timeout=30)
+    response.raise_for_status()
+    response.encoding = "utf-8"
+
+    reader = csv.DictReader(io.StringIO(response.text))
+    rows = []
+    for row in reader:
+        normalized = {normalize_header(key): value for key, value in row.items()}
+        row_month = parse_history_month(
+            normalized.get("month")
+            or normalized.get("miesiac")
+            or normalized.get("data")
+            or normalized.get("date")
+        )
+        text = (
+            normalized.get("url")
+            or normalized.get("link")
+            or normalized.get("tekst")
+            or normalized.get("opis")
+            or normalized.get("dzialanie")
+            or normalized.get("dzialania")
+            or ""
+        ).strip()
+        if row_month == month and text:
+            rows.append({
+                "date": row.get("Data") or row.get("data") or row_month,
+                "url": normalize_month_reference(text, month),
+            })
+    return rows
+
+
 def apply_sheet_ecommerce(report, sales_history, month, previous_month):
     """Use Google Sheet sales data for e-commerce KPI cards."""
     by_month = {row["month"]: row for row in sales_history}
@@ -785,6 +851,29 @@ def main():
     else:
         report["seo_links"] = []
 
+    # SEO works and links from config/clients.toml override the legacy .env-only fetch above.
+    seo_works_sheet = client_report_config.get("seo_works_history_sheet")
+    if seo_works_sheet:
+        print(f"Pobieram dzialania SEO z config/clients.toml...")
+        try:
+            seo_work_rows = fetch_seo_text_rows_from_sheet(seo_works_sheet, args.month)
+            report["seo_activities"] = "\n\n".join(row["url"] for row in seo_work_rows)
+            print(f"  Dzialania SEO: {len(seo_work_rows)} wpisow w {args.month}")
+        except Exception as e:
+            print(f"  UWAGA: Blad dzialan SEO: {e}")
+            report["seo_activities"] = ""
+
+    seo_links_sheet = client_report_config.get("seo_links_history_sheet")
+    if seo_links_sheet:
+        print(f"Pobieram linki SEO z config/clients.toml...")
+        try:
+            seo_links = fetch_seo_text_rows_from_sheet(seo_links_sheet, args.month)
+            report["seo_links"] = seo_links or []
+            print(f"  Linki SEO: {len(report['seo_links'])} w {args.month}")
+        except Exception as e:
+            print(f"  UWAGA: Blad SEO links: {e}")
+            report["seo_links"] = []
+
     # Output
     if args.output:
         output_path = Path(args.output)