Add per-month start_week support for different week numbering

- January 2026 starts at week 2
- February 2026 starts at week 6
- Column positions remain the same, only week numbers change

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

app.py

@@ -136,12 +136,13 @@ KNOWN_ACTIVITIES = {
 CONFIG_FILE = "column_config.json"
 
 # Default week configuration (fallback if config file not found)
-# Format: (week_number, daily_start, daily_end, target_col, percentage_col)
+# Format: (slot_index, daily_start, daily_end, target_col, percentage_col)
+# slot_index is 0-based; actual week = start_week + slot_index
 DEFAULT_WEEK_CONFIGS = [
-    (2, 3, 7, 8, 9),      # Week 2: daily D-H (3-7), target I (8), pct J (9)
-    (3, 10, 14, 15, 16),  # Week 3: daily K-O (10-14), target P (15), pct Q (16)
-    (4, 17, 21, 22, 23),  # Week 4: daily R-V (17-21), target W (22), pct X (23)
-    (5, 24, 28, 30, 31),  # Week 5: daily Y-AC (24-28), target AE (30), pct AF (31) - extra empty col
+    (0, 3, 7, 8, 9),      # Slot 0: daily D-H (3-7), target I (8), pct J (9)
+    (1, 10, 14, 15, 16),  # Slot 1: daily K-O (10-14), target P (15), pct Q (16)
+    (2, 17, 21, 22, 23),  # Slot 2: daily R-V (17-21), target W (22), pct X (23)
+    (3, 24, 28, 30, 31),  # Slot 3: daily Y-AC (24-28), target AE (30), pct AF (31) - extra empty col
 ]
 
 # Default monthly column configuration (fallback)
@@ -276,7 +277,7 @@ def group_rows_into_blocks(values):
     return blocks
 
 
-def process_activity_row(row, case_name, gs_name, case_data):
+def process_activity_row(row, case_name, gs_name, case_data, start_week=2):
     """Process a single activity row and add data to case_data dict."""
     activity = get_activity(row)
     if not activity:
@@ -305,17 +306,21 @@ def process_activity_row(row, case_name, gs_name, case_data):
     # Create key for this case+gs combination
     key = f"{case_name}|{gs_name}"
 
+    # Calculate actual week numbers based on start_week
+    week_configs = get_week_configs()
+    week_numbers = [start_week + slot for slot, _, _, _, _ in week_configs]
+
     if key not in case_data:
         case_data[key] = {
             "case": case_name,
             "gs": gs_name,
-            "weeks": {2: {}, 3: {}, 4: {}, 5: {}},
+            "weeks": {w: {} for w in week_numbers},
             "monthlyTotal": {"sql": 0, "sqlTarget": 0, "activity": 0, "activityTarget": 0, "sqlPctList": [], "activityPctList": []}
         }
 
     # Extract weekly data: actual (sum of daily), target, and percentage from sheet
-    week_configs = get_week_configs()
-    for week_num, daily_start, daily_end, target_col, pct_col in week_configs:
+    for slot, daily_start, daily_end, target_col, pct_col in week_configs:
+        week_num = start_week + slot
         actual = sum_daily(row, daily_start, daily_end)
         target = safe_int(row, target_col)
         percentage = extract_percentage(row, pct_col)
@@ -356,7 +361,7 @@ def process_activity_row(row, case_name, gs_name, case_data):
             case_data[key]["monthlyTotal"]["activityPctList"].append(monthly_pct)
 
 
-def parse_sheet_data(values):
+def parse_sheet_data(values, start_week=2):
     """
     Parse the DAILY sheet data into the format expected by the dashboard.
 
@@ -370,16 +375,21 @@ def parse_sheet_data(values):
     - Column B (1): GS/SDR name (merged - may be empty)
     - Column C (2): Activity type (Calls, Emails, LinkedIn, Prospects, SQL)
 
-    Each week block = 5 daily columns + 1 target column + 1 percentage column:
-    - Week 2: Cols 3-7 (daily), Col 8 (target), Col 9 (percentage)
-    - Week 3: Cols 10-14 (daily), Col 15 (target), Col 16 (percentage)
-    - Week 4: Cols 17-21 (daily), Col 22 (target), Col 23 (percentage)
-    - Week 5: Cols 24-28 (daily), Col 30 (target), Col 31 (percentage) - note: col 29 empty
+    Each week block = 5 daily columns + 1 target column + 1 percentage column.
+    Column positions are the same each month, but week numbers vary:
+    - Slot 0: Cols 3-7 (daily), Col 8 (target), Col 9 (percentage)
+    - Slot 1: Cols 10-14 (daily), Col 15 (target), Col 16 (percentage)
+    - Slot 2: Cols 17-21 (daily), Col 22 (target), Col 23 (percentage)
+    - Slot 3: Cols 24-28 (daily), Col 30 (target), Col 31 (percentage)
 
     Monthly totals:
     - Column AG (32): Monthly TARGET
     - Column AH (33): Monthly ACTUAL
     - Column AI (34): Monthly PERCENTAGE
+
+    Args:
+        values: Raw sheet data
+        start_week: The first week number for this month (e.g., 2 for Jan, 6 for Feb)
     """
     if not values or len(values) < 5:
         return []
@@ -395,7 +405,7 @@ def parse_sheet_data(values):
             continue  # Skip blocks without proper attribution
 
         for row_idx, row in block:
-            process_activity_row(row, case_name, gs_name, case_data)
+            process_activity_row(row, case_name, gs_name, case_data, start_week)
 
     # Convert to list format
     cases = []
@@ -547,8 +557,9 @@ async def get_data(month: str = None, source: str = None):
             detail=f"Failed to load data. Errors: {'; '.join(error_messages)}"
         )
 
-    # Parse the data
-    cases = parse_sheet_data(values)
+    # Parse the data with month-specific start_week
+    start_week = month_config.get("start_week", 2)
+    cases = parse_sheet_data(values, start_week)
 
     # Update cache
     _cache[cache_key] = {"data": cases, "timestamp": now, "source": actual_source}

months_config.json

@@ -4,13 +4,15 @@
       "id": "2026-01",
       "label": "January 2026",
       "sheet_id": "1af6-2KsRqeTQxdw5KVRp2WCrM6RT7HIcl70m-GgGZB4",
-      "tab_name": "DAILY - for SDR to add data🌟"
+      "tab_name": "DAILY - for SDR to add data🌟",
+      "start_week": 2
     },
     {
       "id": "2026-02",
       "label": "February 2026",
       "sheet_id": "173_4EJ6pWjyP96d1zpZ8VasffsciCSiRLOGB_CNn7aI",
-      "tab_name": "DAILY - for SDR to add data🌟"
+      "tab_name": "DAILY - for SDR to add data🌟",
+      "start_week": 6
     }
   ],
   "default_month": "2026-02"