fix(periods): replace redundant total attributes with per-day counts

Removed periods_found_total and replaced with period_count_today /
period_count_tomorrow. The old attribute counted all periods including
yesterday (coordinator scope), causing a discrepancy vs. the displayed
list (sensor scope, today+tomorrow only).

Renamed periods_total → period_count_total for naming consistency with
the new per-day attributes. Recalculate period_position / period_count_total /
periods_remaining after the today+tomorrow filter so all three navigation
attributes reflect the filtered scope.

period_count_tomorrow is always present (0 when no tomorrow data or no
periods found), enabling automations without default(0) guards.

Removed internal periods_found key from relaxation metadata — it was
only consumed by add_calculation_summary_attributes which is now removed.

BREAKING CHANGE: periods_found_total removed (replace with
period_count_today + period_count_tomorrow). periods_total renamed to
period_count_total.

Impact: Period navigation attributes (position/total/remaining) now
correctly reflect today+tomorrow scope. Per-day counts allow automations
to distinguish "2 periods today, 0 tomorrow" from "1+1".

custom_components/tibber_prices/binary_sensor/attributes.py

@@ -119,6 +119,19 @@ def get_price_intervals_attributes(
     if not filtered_periods:
         return build_no_periods_result(time=time)
 
+    # Recalculate position metadata after filtering (coordinator stamped values include yesterday)
+    # Use shallow copies so coordinator dicts are not mutated
+    total_filtered = len(filtered_periods)
+    filtered_periods = [
+        period
+        | {
+            "period_position": i,
+            "period_count_total": total_filtered,
+            "periods_remaining": total_filtered - i,
+        }
+        for i, period in enumerate(filtered_periods, 1)
+    ]
+
     # Find current or next period based on current time
     current_period = None
 
@@ -251,8 +264,8 @@ def add_detail_attributes(attributes: dict, current_period: dict) -> None:
         attributes["period_interval_count"] = current_period["period_interval_count"]
     if "period_position" in current_period:
         attributes["period_position"] = current_period["period_position"]
-    if "periods_total" in current_period:
+    if "period_count_total" in current_period:
-        attributes["periods_total"] = current_period["periods_total"]
+        attributes["period_count_total"] = current_period["period_count_total"]
     if "periods_remaining" in current_period:
         attributes["periods_remaining"] = current_period["periods_remaining"]
 
@@ -298,7 +311,6 @@ def add_period_count_attributes(
             count_tomorrow += 1
 
     _ = now  # used for clarity only
-    if count_today > 0 or count_tomorrow > 0:
     attributes["period_count_today"] = count_today
     attributes["period_count_tomorrow"] = count_tomorrow
 
@@ -324,13 +336,11 @@ def add_calculation_summary_attributes(attributes: dict, period_metadata: dict)
     """
     Add calculation summary attributes (priority 7).
 
-    Provides diagnostic visibility into the period calculation: how many periods
+    Provides diagnostic visibility into the period calculation: whether any flat days
-    were requested vs. found, whether any flat days triggered adaptive min_periods,
+    triggered adaptive min_periods, and whether relaxation could not satisfy all days.
-    and whether relaxation could not satisfy all days.
 
     Only adds non-default/interesting values to avoid clutter:
     - min_periods_configured: always added (useful reference for automations)
-    - periods_found_total: always added
     - flat_days_detected: only when > 0 (explains why fewer periods than configured)
     - relaxation_incomplete: only when True (diagnostic flag for troubleshooting)
 
@@ -342,9 +352,6 @@ def add_calculation_summary_attributes(attributes: dict, period_metadata: dict)
     if "min_periods_requested" in relaxation_meta:
         attributes["min_periods_configured"] = relaxation_meta["min_periods_requested"]
 
-    if "periods_found" in relaxation_meta:
-        attributes["periods_found_total"] = relaxation_meta["periods_found"]
-
     flat_days = relaxation_meta.get("flat_days_detected", 0)
     if flat_days > 0:
         attributes["flat_days_detected"] = flat_days
@@ -414,10 +421,10 @@ def build_final_attributes_simple(
     2. Core decision attributes (level, rating_level, rating_difference_%)
     3. Price statistics (price_mean, price_median, price_min, price_max, price_spread, volatility)
     4. Price differences (period_price_diff_from_daily_min, period_price_diff_from_daily_min_%)
-    5. Detail information (period_interval_count, period_position, periods_total, periods_remaining)
+    5. Detail information (period_interval_count, period_position, period_count_total, periods_remaining)
     6. Relaxation information (relaxation_active, relaxation_level, relaxation_threshold_original_%,
        relaxation_threshold_applied_%) - only if current period was relaxed
-    7. Calculation summary (min_periods_configured, periods_found_total, flat_days_detected,
+    7. Calculation summary (min_periods_configured, flat_days_detected,
        relaxation_incomplete) - diagnostic info about the overall calculation
     8. Meta information (periods list)
 
@@ -464,7 +471,7 @@ def build_final_attributes_simple(
         # 6. Relaxation information (only if current period was relaxed)
         add_relaxation_attributes(attributes, current_period)
 
-        # 7. Calculation summary (diagnostic: min_periods_configured, periods_found_total, etc.)
+        # 7. Calculation summary (diagnostic: min_periods_configured, flat_days_detected, etc.)
         if period_metadata:
             add_calculation_summary_attributes(attributes, period_metadata)
 

custom_components/tibber_prices/binary_sensor/core.py

@@ -64,7 +64,6 @@ class TibberPricesBinarySensor(TibberPricesEntity, BinarySensorEntity, RestoreEn
             "relaxation_threshold_applied_%",
             # Calculation Summary (diagnostic, changes daily → not useful in history)
             "min_periods_configured",
-            "periods_found_total",
             "flat_days_detected",
             "relaxation_incomplete",
             # Redundant/Derived
@@ -73,7 +72,7 @@ class TibberPricesBinarySensor(TibberPricesEntity, BinarySensorEntity, RestoreEn
             "rating_difference_%",
             "period_price_diff_from_daily_min",
             "period_price_diff_from_daily_min_%",
-            "periods_total",
+            "period_count_total",
             "periods_remaining",
         }
     )

custom_components/tibber_prices/binary_sensor/types.py

@@ -104,7 +104,7 @@ class PeriodSummary(TypedDict, total=False):
     # Detail information (priority 5)
     period_interval_count: int  # Number of intervals in period
     period_position: int  # Period position (1-based)
-    periods_total: int  # Total number of periods
+    period_count_total: int  # Total number of periods
     periods_remaining: int  # Remaining periods after this one
 
     # Relaxation information (priority 6 - only if period was relaxed)
@@ -125,7 +125,7 @@ class PeriodAttributes(BaseAttributes, total=False):
     2. Core decision attributes (level, rating_level, rating_difference_%)
     3. Price statistics (price_mean, price_median, price_min, price_max, price_spread, volatility)
     4. Price comparison (period_price_diff_from_daily_min, period_price_diff_from_daily_min_%)
-    5. Detail information (period_interval_count, period_position, periods_total, periods_remaining)
+    5. Detail information (period_interval_count, period_position, period_count_total, periods_remaining)
     6. Relaxation information (only if period was relaxed)
     7. Meta information (periods list)
     """
@@ -155,7 +155,7 @@ class PeriodAttributes(BaseAttributes, total=False):
     # Detail information (priority 5)
     period_interval_count: int  # Number of intervals in current/next period
     period_position: int  # Period position (1-based)
-    periods_total: int  # Total number of periods found
+    period_count_total: int  # Total number of periods found
     periods_remaining: int  # Remaining periods after current/next one
 
     # Relaxation information (priority 6 - only if period was relaxed)

custom_components/tibber_prices/coordinator/period_handlers/period_overlap.py

@@ -56,7 +56,7 @@ def recalculate_period_metadata(periods: list[dict], *, time: TibberPricesTimeSe
     """
     Recalculate period metadata after merging periods.
 
-    Updates period_position, periods_total, and periods_remaining for all periods
+    Updates period_position, period_count_total, and periods_remaining for all periods
     based on chronological order.
 
     This must be called after resolve_period_overlaps() to ensure metadata
@@ -78,7 +78,7 @@ def recalculate_period_metadata(periods: list[dict], *, time: TibberPricesTimeSe
 
     for position, period in enumerate(periods, 1):
         period["period_position"] = position
-        period["periods_total"] = total_periods
+        period["period_count_total"] = total_periods
         period["periods_remaining"] = total_periods - position
 
 

custom_components/tibber_prices/coordinator/period_handlers/period_statistics.py

@@ -178,7 +178,7 @@ def build_period_summary_dict(
         # 5. Detail information (additional context)
         "period_interval_count": period_data.period_length,
         "period_position": period_data.period_idx,
-        "periods_total": period_data.total_periods,
+        "period_count_total": period_data.total_periods,
         "periods_remaining": period_data.total_periods - period_data.period_idx,
     }
 

custom_components/tibber_prices/coordinator/period_handlers/relaxation.py

@@ -639,7 +639,6 @@ def calculate_periods_with_relaxation(  # noqa: PLR0912, PLR0913, PLR0915 - Per-
                     "relaxation_active": False,
                     "relaxation_attempted": False,
                     "min_periods_requested": min_periods if enable_relaxation else 0,
-                    "periods_found": 0,
                 },
             },
             "reference_data": {},
@@ -840,8 +839,6 @@ def calculate_periods_with_relaxation(  # noqa: PLR0912, PLR0913, PLR0915 - Per-
     final_result = baseline_result.copy()
     final_result["periods"] = all_periods
 
-    total_periods = len(all_periods)
-
     # Add relaxation info to metadata
     if "metadata" not in final_result:
         final_result["metadata"] = {}
@@ -849,7 +846,6 @@ def calculate_periods_with_relaxation(  # noqa: PLR0912, PLR0913, PLR0915 - Per-
         "relaxation_active": relaxation_was_needed,
         "relaxation_attempted": relaxation_was_needed,
         "min_periods_requested": min_periods,
-        "periods_found": total_periods,
         "phases_used": list(set(all_phases_used)),  # Unique phases used across all days
         "days_processed": total_days,
         "days_meeting_requirement": days_meeting_requirement,
@@ -1023,5 +1019,4 @@ def relax_all_prices(  # noqa: PLR0913 - Comprehensive filter relaxation require
 
     return final_result, {
         "phases_used": phases_used,
-        "periods_found": len(existing_periods),
     }

custom_components/tibber_prices/sensor/core.py

@@ -172,7 +172,7 @@ class TibberPricesSensor(TibberPricesEntity, RestoreSensor):
             "rating_difference_%",
             "period_price_diff_from_daily_min",
             "period_price_diff_from_daily_min_%",
-            "periods_total",
+            "period_count_total",
             "periods_remaining",
         }
     )

docs/developer/docs/period-calculation-theory.md

@@ -834,8 +834,7 @@ INFO: Day 2025-11-11: Baseline satisfied (1 period, effective minimum is 1)
 **Sensor Attributes:**
 ```yaml
 min_periods_configured: 2    # User's setting
-periods_found_total: 1       # Actual result
+flat_days_detected: 1        # Explains why only 1 period found
-flat_days_detected: 1        # Explains the difference
 ```
 
 **Why not for Peak Price?**
@@ -957,7 +956,6 @@ When debugging period calculation issues:
 | Attribute | Type | When shown | Meaning |
 |---|---|---|---|
 | `min_periods_configured` | int | Always | User's configured target per day |
-| `periods_found_total` | int | Always | Actual periods found across all days |
 | `flat_days_detected` | int | Only when > 0 | Days where CV ≤ 10% reduced target to 1 |
 | `relaxation_incomplete` | bool | Only when true | Relaxation exhausted, target not reached |
 | `relaxation_active` | bool | Only when true | This specific period needed relaxed filters |

docs/developer/docs/recorder-optimization.md

@@ -137,7 +137,7 @@ class TibberPricesSensor(TibberPricesEntity, SensorEntity):
 
 ### 7. Redundant/Derived Data
 
-**Attributes:** `price_spread`, `volatility`, `diff_%`, `rating_difference_%`, `period_price_diff_from_daily_min`, `period_price_diff_from_daily_min_%`, `periods_total`, `periods_remaining`
+**Attributes:** `price_spread`, `volatility`, `diff_%`, `rating_difference_%`, `period_price_diff_from_daily_min`, `period_price_diff_from_daily_min_%`, `period_count_total`, `periods_remaining`
 
 **Reason:**
 - Can be calculated from other attributes
@@ -146,7 +146,7 @@ class TibberPricesSensor(TibberPricesEntity, SensorEntity):
 
 **Impact:** ~100-200 bytes saved per state change
 
-**Example:** `price_spread = price_max - price_min` (both are recorded, so spread can be calculated)
+**Example:** `price_spread = price_max - price_min` (both are recorded, so spread can be calculated). `periods_remaining = period_count_total - period_position` (both components are recorded).
 
 ## Attributes That ARE Recorded
 
@@ -166,6 +166,8 @@ These attributes **remain in history** because they provide essential analytical
 ### Period Data
 - `start`, `end`, `duration_minutes` - Core period timing
 - `price_mean`, `price_median`, `price_min`, `price_max` - Core price statistics
+- `period_position` - Position of current period in the day's sequence
+- `period_count_today`, `period_count_tomorrow` - How many periods per day (useful in automations)
 
 ### High-Level Status
 - `relaxation_active` - Whether relaxation was used (boolean, useful for analyzing when periods needed relaxation)

docs/user/docs/period-calculation.md

@@ -523,7 +523,7 @@ This is **expected behavior** on days with very uniform electricity prices. When
 
 ```yaml
 min_periods_configured: 2
-periods_found_total: 1
+period_count_today: 1
 flat_days_detected: 1    # Uniform prices today → 1 period is the right answer
 ```
 
@@ -656,7 +656,8 @@ relaxation_level: "price_diff_18.0%+level_any"  # Found at 18% flex, level filte
 
 # Calculation summary (always shown – diagnostic overview of this calculation run):
 min_periods_configured: 2           # What you configured as target
-periods_found_total: 3              # What was actually found across all days
+period_count_today: 2               # How many periods are scheduled today
+period_count_tomorrow: 2            # How many periods are scheduled tomorrow (when data available)
 
 # Optional (only shown when relevant):
 period_interval_smoothed_count: 2    # Number of price spikes smoothed
@@ -669,7 +670,7 @@ relaxation_incomplete: true         # Some days couldn't reach the configured ta
 
 #### What the diagnostic attributes mean
 
-**`min_periods_configured` / `periods_found_total`**
+**`min_periods_configured` / `period_count_today`**
 
 These two values together quickly show whether the calculation achieved its goal:
 
@@ -678,18 +679,18 @@ These two values together quickly show whether the calculation achieved its goal
 
 ```yaml
 min_periods_configured: 2   # You asked for 2 periods per day
-periods_found_total: 6      # 3 days × 2 periods = fully satisfied ✅
+period_count_today: 2       # ✅ Today: target reached
+period_count_tomorrow: 2    # ✅ Tomorrow: target reached
 ```
 
 ```yaml
 min_periods_configured: 2
-periods_found_total: 5      # 3 days, but one day got only 1 period
+period_count_today: 1       # ⚠️ Today: only 1 period found
+period_count_tomorrow: 2    # ✅ Tomorrow: target reached
 ```
 
 </details>
 
-Note that `periods_found_total` counts **all periods across today and tomorrow** – so 4 on a two-day view means 2 per day on average.
-
 **`flat_days_detected`**
 
 This is the most important diagnostic for days with very uniform prices (e.g. sunny spring/summer days with high solar generation):
@@ -699,7 +700,7 @@ This is the most important diagnostic for days with very uniform prices (e.g. su
 
 ```yaml
 min_periods_configured: 2
-periods_found_total: 1
+period_count_today: 1
 flat_days_detected: 1       # ← This explains why you got 1 instead of 2
 ```
 
@@ -718,7 +719,7 @@ This flag appears when even after all relaxation attempts, at least one day coul
 
 ```yaml
 min_periods_configured: 2
-periods_found_total: 1
+period_count_today: 1
 relaxation_incomplete: true  # ← Relaxation tried everything, still short
 ```
 

docs/user/docs/period-relaxation.md

@@ -130,7 +130,7 @@ Check the period sensor attributes to understand what happened:
 relaxation_active: true                           # This day needed relaxation
 relaxation_level: "price_diff_18.0%+level_any"    # Found at 18% flex, level filter removed
 min_periods_configured: 2                         # Your target
-periods_found_total: 3                            # What was actually found
+period_count_today: 3                             # What was actually found today
 ```
 
 </details>