2025.10.1 (#391)

* deleted max_seconds limit

* max_mip_gap set to 0.005 (was 0.001)

* added logging.debug of hass/api/config

* fixed divide-zero error when production or consumption are 0.0

* when no country is configured in HA, NL is assumed.

* added/adjusted settings in options_example.json

* added/adjusted settings in options_example.json

* "api/report/da/vandaag" and "api/report/da/vandaag en morgen" present data with the configured interval

* add documentation about the interval-setting to DOCS.md

* versie 2025.10.1 / 2025.10.1.rc1

Author: corneel27

dao/CHANGELOG.md

@@ -1,5 +1,19 @@
 # Changelog 刀 DAO
 # Day Ahead Optimizer
+# 2025.10.1
+This version is similar with 2025.10.1.rc1 in the testing-channel.<br>
+Fixes:
+- deleted max_seconds limit
+- max_mip_gap set to 0.005 (was 0.001)
+- added logging.debug of hass/api/config
+- fixed divide-zero error when production or consumption are 0.0
+- when no country is configured in HA, "NL" is assumed
+- "api/report/da/vandaag" and "api/report/da/vandaag en morgen" present data with the configured interval
+- added documentation about the interval-setting to DOCS.md
+
+Know issue:
+- The forecast in the reports still nog good working
+
 
 # 2025.10.0
 This version is similar with 2025.10.0.rc1 in the testing-channel

dao/DOCS.md

@@ -633,6 +633,7 @@ Dit regelt de supervisor van Home Assistant dan voor je.
 |                           | vat production               | list             |                                    | {datum : getal}                                    |
 |                           | last invoice                 | datum            |                                    | begindatum contract                                |
 |                           | tax refund                   | boolean          |                                    |                                                    |
+| **interval**              |                              | string           | "1hour"                            | keuze uit "1hour" of "15min"
 | **log level**             |                              | string           | "info"                             | keuze uit "debug", "info", "warning" of "error"    |
 | **use_calc_baseload**     |                              | boolean          | "False"                            |                                                    |
 | **baseload calc periode** |                              | getal            | 56                                 | alleen als "use_calc_baseload" = True              | 
@@ -950,6 +951,24 @@ De meteodata worden opgehaald bij meteoserver. Ook hiervoor heb je een key nodig
   * last invoice: datum laatste jaarfactuur en/of de begindatum van je contractjaar (formaat "yyyy-mm-dd")
   * tax refund: kun je alles salderen of is je teruglevering hoger dan je verbruik  (True of False) 
 
+### **interval**
+Standaard rekent het programma met een 1 uur interval (default settings = "**1hour**")
+Als jouw energieleverancier rekent met kwartieprijzen dan kun je het interval op "**15min**" zetten.
+Let daarbij op de volgende aandachtspunten: 
+1. Pas de scheduler aan zodat het programma ook ieder kwartier rekent. Zet de volgende extra regels in de scheduler:<br>
+````
+    "xx15": "calc_optimum",
+    "xx30": "calc_optimum",
+    "xx45": "calc_optimum",
+````
+Let daarbij op dat deze "kwartieren" niet overeenkomen met een andere actie (meteo ophalen of.)
+Het programma kan vooralsnog per minuut maar 1 taak uitvoeren. Pas in dat geval de planning van deze taak aan.
+
+2. Vul bij price-source een providor in die het leveren van kwartierprijzen ondersteund.
+Vooralsnog zijn dat nordpool, tibber (beide getest) en entsoe (niet getest)
+3. Haal ("met de hand" via het run menu) de prijzen voor vandaag en na 13:00 voor morgen opnieuw op. Vul de datum van vandaag (en morgen) in bij het "vanaf"-veld.
+
+
 ### **logging level**
 De output van het programma wordt opgeslagen in logfiles.
 Je kunt zelf bepalen hoe gedetailleerden uitgebreid deze output is:

dao/config.yaml

@@ -1,6 +1,6 @@
 ---
 name: 刀 Day Ahead Optimizer
-version: 2025.10.0
+version: 2025.10.1
 slug: day_ahead_opt
 description: Home Assistant Community Add-ons for day ahead optimizations
 url: https://github.com/corneel27/day-ahead

dao/data/options_example.json

@@ -92,6 +92,7 @@
     "prices spot": "True",
     "average consumption": "True"
   },
+  "interval": "15min",
   "strategy": "minimize cost",
   "notifications": {
     "notification entity": "input_text.dao_notificatie",
@@ -428,10 +429,10 @@
     "entities battery production": ["sensor.ess_grid_production"]
   },
   "scheduler": {
-    "0430": "get_meteo_data",
-    "1030": "get_meteo_data",
-    "1630": "get_meteo_data",
-    "2230": "get_meteo_data",
+    "0435": "get_meteo_data",
+    "1035": "get_meteo_data",
+    "1635": "get_meteo_data",
+    "2235": "get_meteo_data",
     "0950": "get_tibber_data",
     "1050": "get_tibber_data",
     "1150": "get_tibber_data",
@@ -444,7 +445,10 @@
     "1554": "get_day_ahead_prices",
     "1655": "get_day_ahead_prices",
     "xx00": "calc_optimum",
+    "xx15": "calc_optimum",
+    "xx30": "calc_optimum",
+    "xx45": "calc_optimum",
     "2359": "clean_data",
-    "0930": "calc_baseloads"
+    "0935": "calc_baseloads"
   }
 }

dao/prog/da_base.py

@@ -110,12 +110,15 @@ def __init__(self, file_name: str = None):
         }
         resp = get(self.hassurl + "api/config", headers=headers)
         resp_dict = json.loads(resp.text)
-        # logging.debug(f"hass/api/config: {resp.text}")
+        logging.debug(f"hass/api/config: {resp.text}")
         self.config.set("latitude", resp_dict["latitude"])
         self.config.set("longitude", resp_dict["longitude"])
         self.config.set("time_zone", resp_dict["time_zone"])
         self.time_zone = resp_dict["time_zone"]
-        self.config.set("country", resp_dict["country"])
+        country = resp_dict["country"]
+        if country is None or country == "":
+            country = "NL"
+        self.config.set("country", country)
         self.db_da = self.config.get_db_da()
         self.db_ha = self.config.get_db_ha()
         self.meteo = Meteo(self.config, self.db_da)

dao/prog/da_report.py

@@ -2944,7 +2944,7 @@ def get_api_data(self, field: str, _periode: str, cumulate: bool = False):
                         df[field] = df[field].cumsum()
         elif field == "da":
             df = self.get_price_data(
-                self.periodes[periode]["vanaf"], self.periodes[periode]["tot"]
+                self.periodes[periode]["vanaf"], self.periodes[periode]["tot"], self.interval
             )
         elif field[0:3] == "soc":
             df = self.get_soc_data(field, self.periodes[periode]["vanaf"], tot)

dao/prog/day_ahead.py

@@ -943,7 +943,7 @@ def calc_optimum(
             boiler_temp = [
                 model.add_var(
                     var_type=CONTINUOUS,
-                    lb=min(boiler_act_temp, boiler_setpoint - boiler_hysterese),
+                    lb=min(boiler_act_temp, boiler_setpoint - boiler_hysterese - 10),
                     ub=boiler_setpoint + 10,
                 )
                 for _ in range(U + 1)
@@ -2314,9 +2314,9 @@ def calc_optimum(
         #        strategy optimization
         #####################################################
         # settings
-        model.max_mip_gap_abs = 0.001
+        model.max_mip_gap_abs = 0.005
         model.max_nodes = 1500
-        model.max_seconds = 20
+        # model.max_seconds = 20
         if self.log_level > logging.DEBUG:
             model.verbose = 0
         model.check_optimization_results()
@@ -2679,9 +2679,9 @@ def calc_optimum(
         d_f = d_f.astype({"uur": str})
         d_f.loc["total"] = d_f.iloc[:, 1:].sum()
         cost_consumption = d_f.loc["total"]["cost"]
-        tariff_consumption = cost_consumption / delivery.x
+        tariff_consumption = cost_consumption / delivery.x if delivery.x != 0 else 0.0
         profit_production = d_f.loc["total"]["profit"]
-        tariff_production = profit_production / production.x
+        tariff_production = abs(profit_production) / production.x if production.x != 0 else 0.0
         # d_f.loc['total'] = d_f.loc['total'].astype(object)
 
         d_f.at[d_f.index[-1], "uur"] = "Totaal"
@@ -2720,7 +2720,7 @@ def calc_optimum(
             + boiler_storage
         )
 
-        logging.info("/nCalculation profit after optimize in €\n"
+        logging.info("\nCalculation profit after optimize in €\n"
             f"Cost before optimize            {old_cost_da: 7.2f}\n"
             f"Cost consumption   {cost_consumption: 7.2f}\n"
             f"Profit production  {profit_production: 7.2f}\n"
@@ -2736,7 +2736,7 @@ def calc_optimum(
         if not self.debug:
             logging.info("Doorzetten van alle settings naar HA")
         else:
-            logging.info("Onderstaande settings worden NIET doorgezet naar HA")
+            logging.info("Onderstaande settings worden NIET doorgezet naar HA (debug-run)")
 
         """
         set helpers output home assistant

release-testing/CHANGELOG.md

@@ -1,5 +1,19 @@
 # Changelog 刀 DAO
 # Day Ahead Optimizer
+# 2025.10.1.rc1
+This version is similar with 2025.10.1 in the stable-channel.<br>
+Fixes:
+- deleted max_seconds limit
+- max_mip_gap set to 0.005 (was 0.001)
+- added logging.debug of hass/api/config
+- fixed divide-zero error when production or consumption are 0.0
+- when no country is configured in HA, "NL" is assumed
+- "api/report/da/vandaag" and "api/report/da/vandaag en morgen" present data with the configured interval
+- added documentation about the interval-setting to DOCS.md
+
+Know issue:
+- The forecast in the reports still nog good working
+
 # 2025.10.0.rc1
 This version is similar with 2025.10.0 in the stable-channel
 - Fix error with storing forecast (there was no timezone-correction)

release-testing/config.yaml

@@ -1,6 +1,6 @@
 ---
 name: 刀 Day Ahead Optimizer (TESTING)
-version: 2025.10.0.rc1
+version: 2025.10.1.rc1
 stage: experimental
 slug: day_ahead_opt-testing
 description: Beta version of DAO. Use only for testing!