Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -721,17 +721,29 @@ class NutrientCalculator:
|
|
721 |
def __init__(self, volume_liters: float = 1.0):
|
722 |
self.volume = volume_liters
|
723 |
self.results: Dict[str, Dict[str, Any]] = {}
|
724 |
-
self.target_profile =
|
725 |
-
self.actual_profile = {k: 0.0 for k in
|
|
|
726 |
self.total_ec = 0.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
727 |
self.compensation_weights = {
|
728 |
-
'KNO3': 0.5,
|
729 |
-
'CaNO3': 0.3,
|
730 |
-
'K2SO4': 0.2
|
731 |
}
|
732 |
-
self.fertilizers: Dict[str, Dict[str, float]] = {}
|
733 |
|
734 |
def _label(self, element: str) -> str:
|
|
|
735 |
labels = {
|
736 |
'N (NO3-)': 'NO3',
|
737 |
'N (NH4+)': 'NH4'
|
@@ -739,6 +751,7 @@ class NutrientCalculator:
|
|
739 |
return labels.get(element, element)
|
740 |
|
741 |
def set_compensation_weights(self, kno3_weight: float, cano3_weight: float, k2so4_weight: float):
|
|
|
742 |
total = kno3_weight + cano3_weight + k2so4_weight
|
743 |
self.compensation_weights = {
|
744 |
'KNO3': kno3_weight / total,
|
@@ -746,84 +759,13 @@ class NutrientCalculator:
|
|
746 |
'K2SO4': k2so4_weight / total
|
747 |
}
|
748 |
|
749 |
-
def _apply(self, fert_name: str, main_element: str, required_ppm: float):
|
750 |
-
if required_ppm <= 0:
|
751 |
-
return
|
752 |
-
|
753 |
-
try:
|
754 |
-
content = self.fertilizers[fert_name][main_element]
|
755 |
-
grams = (required_ppm * self.volume) / (content * 1000)
|
756 |
-
|
757 |
-
if fert_name not in self.results:
|
758 |
-
self.results[fert_name] = {
|
759 |
-
'граммы': 0.0,
|
760 |
-
'миллиграммы': 0,
|
761 |
-
'вклад в EC': 0.0
|
762 |
-
}
|
763 |
-
for element in self.fertilizers[fert_name]:
|
764 |
-
self.results[fert_name][f'внесет {self._label(element)}'] = 0.0
|
765 |
-
|
766 |
-
self.results[fert_name]['граммы'] += grams
|
767 |
-
self.results[fert_name]['миллиграммы'] = int(self.results[fert_name]['граммы'] * 1000)
|
768 |
-
|
769 |
-
fert_ec = 0.0
|
770 |
-
for element, percent in self.fertilizers[fert_name].items():
|
771 |
-
added_ppm = (grams * percent * 1000) / self.volume
|
772 |
-
self.results[fert_name][f'внесет {self._label(element)}'] += added_ppm
|
773 |
-
self.actual_profile[element] += added_ppm
|
774 |
-
fert_ec += added_ppm * DEFAULT_VALUES['EC_COEFFICIENTS'].get(element, 0.0015)
|
775 |
-
|
776 |
-
self.results[fert_name]['вклад в EC'] += fert_ec
|
777 |
-
self.total_ec += fert_ec
|
778 |
-
|
779 |
-
except KeyError as e:
|
780 |
-
logger.error(f"Key error in _apply: {str(e)}")
|
781 |
-
raise
|
782 |
-
|
783 |
-
def _balance_nitrogen_with_compensation(self):
|
784 |
-
try:
|
785 |
-
# Вносим NH4+
|
786 |
-
nh4_needed = self.target_profile['N (NH4+)'] - self.actual_profile['N (NH4+)']
|
787 |
-
if nh4_needed > 0.1:
|
788 |
-
self._apply("Аммоний азотнокислый", "N (NH4+)", nh4_needed)
|
789 |
-
|
790 |
-
# Вносим NO3- с компенсацией
|
791 |
-
no3_needed = self.target_profile['N (NO3-)'] - self.actual_profile['N (NO3-)']
|
792 |
-
if no3_needed > 0.1:
|
793 |
-
# Через CaNO3 (если нужен Ca)
|
794 |
-
ca_part = self.compensation_weights['CaNO3'] * no3_needed
|
795 |
-
ca_needed = self.target_profile['Ca'] - self.actual_profile['Ca']
|
796 |
-
if ca_needed > 0.1:
|
797 |
-
max_ca_no3 = (ca_needed / self.fertilizers["Кальциевая селитра"]["Ca"]) * \
|
798 |
-
self.fertilizers["Кальциевая селитра"]["N (NO3-)"]
|
799 |
-
ca_no3_part = min(ca_part, max_ca_no3)
|
800 |
-
self._apply("Кальциевая селитра", "N (NO3-)", ca_no3_part)
|
801 |
-
no3_needed -= ca_no3_part
|
802 |
-
|
803 |
-
# Через KNO3 (если нужен K)
|
804 |
-
kno3_part = self.compensation_weights['KNO3'] * no3_needed
|
805 |
-
k_remaining = self.target_profile['K'] - self.actual_profile['K']
|
806 |
-
if k_remaining > 0.1:
|
807 |
-
max_k_no3 = (k_remaining / self.fertilizers["Калий азотнокислый"]["K"]) * \
|
808 |
-
self.fertilizers["Калий азотнокислый"]["N (NO3-)"]
|
809 |
-
k_no3_part = min(kno3_part, max_k_no3)
|
810 |
-
self._apply("Калий азотнокислый", "N (NO3-)", k_no3_part)
|
811 |
-
no3_needed -= k_no3_part
|
812 |
-
|
813 |
-
# Остаток через K2SO4 (если разрешено весами)
|
814 |
-
if no3_needed > 0.1 and self.compensation_weights['K2SO4'] > 0:
|
815 |
-
pass # Логика компенсации через K2SO4
|
816 |
-
|
817 |
-
except Exception as e:
|
818 |
-
logger.error(f"Error in _balance_nitrogen_with_compensation: {str(e)}")
|
819 |
-
raise
|
820 |
-
|
821 |
def calculate(self) -> Dict[str, Any]:
|
|
|
822 |
try:
|
823 |
# 1. Вносим Mg и S
|
824 |
self._apply("Сульфат магния", "Mg", self.target_profile['Mg'])
|
825 |
|
826 |
-
# 2. Балансируем азот
|
827 |
self._balance_nitrogen_with_compensation()
|
828 |
|
829 |
# 3. Вносим Ca (остаток)
|
@@ -836,7 +778,7 @@ class NutrientCalculator:
|
|
836 |
if p_needed > 0.1:
|
837 |
self._apply("Монофосфат калия", "P", p_needed)
|
838 |
|
839 |
-
# 5. Корректируем K
|
840 |
k_needed = self.target_profile['K'] - self.actual_profile['K']
|
841 |
if k_needed > 0.1:
|
842 |
self._apply("Калий сернокислый", "K", k_needed)
|
@@ -844,19 +786,18 @@ class NutrientCalculator:
|
|
844 |
return self.results
|
845 |
|
846 |
except Exception as e:
|
847 |
-
|
848 |
raise
|
849 |
|
850 |
-
|
851 |
-
return round(self.total_ec, 2)
|
852 |
|
853 |
def round_floats(obj: Union[float, Dict, List], ndigits: int = 3) -> Union[float, Dict, List]:
|
854 |
-
"""Рекурсивно округляет float значения"""
|
855 |
if isinstance(obj, float):
|
856 |
return round(obj, ndigits)
|
857 |
elif isinstance(obj, dict):
|
858 |
return {k: round_floats(v, ndigits) for k, v in obj.items()}
|
859 |
-
elif isinstance(obj, list):
|
860 |
return [round_floats(x, ndigits) for x in obj]
|
861 |
return obj
|
862 |
|
@@ -864,113 +805,101 @@ def round_floats(obj: Union[float, Dict, List], ndigits: int = 3) -> Union[float
|
|
864 |
def handle_calculation():
|
865 |
try:
|
866 |
data = request.get_json()
|
867 |
-
logger.info(f"Received request data: {data}")
|
868 |
|
869 |
-
#
|
870 |
-
|
871 |
-
logger.error("Invalid JSON format")
|
872 |
-
return jsonify({'error': 'Invalid JSON format'}), 400
|
873 |
|
874 |
-
# Проверка обязательных
|
875 |
-
|
876 |
-
|
877 |
-
|
878 |
-
|
879 |
-
|
880 |
-
|
881 |
-
# Извлечение данных
|
882 |
-
try:
|
883 |
-
rounding_precision = int(data['profileSettings'].get('rounding_precision', 3))
|
884 |
-
volume_liters = float(data['profileSettings'].get('liters', DEFAULT_VALUES['VOLUME_LITERS']))
|
885 |
-
total_nitrogen = float(data['profileSettings'].get('TOTAL_NITROG', DEFAULT_VALUES['TOTAL_NITROGEN']))
|
886 |
-
no3_ratio = float(data['profileSettings'].get('NO3_RAT', DEFAULT_VALUES['NO3_RATIO']))
|
887 |
-
nh4_ratio = DEFAULT_VALUES['NH4_RATIO']
|
888 |
-
except (ValueError, TypeError) as e:
|
889 |
-
logger.error(f"Invalid numeric value: {str(e)}")
|
890 |
-
return jsonify({'error': f'Invalid numeric value: {str(e)}'}), 400
|
891 |
-
|
892 |
-
# Проверка удобрений
|
893 |
-
required_fertilizers = {
|
894 |
-
"Кальциевая селитра": ["N (NO3-)", "Ca"],
|
895 |
-
"Калий азотнокислый": ["N (NO3-)", "K"],
|
896 |
-
"��ммоний азотнокислый": ["N (NO3-)", "N (NH4+)"],
|
897 |
-
"Сульфат магния": ["Mg", "S"],
|
898 |
-
"Монофосфат калия": ["P", "K"],
|
899 |
-
"Калий сернокислый": ["K", "S"]
|
900 |
-
}
|
901 |
|
902 |
-
|
903 |
-
|
904 |
-
|
905 |
-
|
906 |
-
|
907 |
-
if element not in data['fertilizerConstants'][fert]:
|
908 |
-
logger.error(f"Missing element {element} in {fert}")
|
909 |
-
return jsonify({'error': f'Missing element {element} in {fert}'}), 400
|
910 |
-
|
911 |
-
# Создание калькулятора
|
912 |
-
calculator = NutrientCalculator(volume_liters=volume_liters)
|
913 |
-
calculator.fertilizers = data['fertilizerConstants']
|
914 |
|
915 |
-
#
|
916 |
target_profile = {
|
917 |
-
'P': float(
|
918 |
-
'K': float(
|
919 |
-
'Mg': float(
|
920 |
-
'Ca': float(
|
921 |
-
'S': float(
|
922 |
-
'N (NO3-)':
|
923 |
-
'N (NH4+)':
|
924 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
925 |
calculator.target_profile = target_profile
|
926 |
-
|
927 |
-
|
928 |
-
|
929 |
-
|
930 |
-
|
931 |
-
|
932 |
-
|
933 |
-
|
934 |
-
|
935 |
-
|
936 |
-
except Exception as e:
|
937 |
-
logger.warning(f"Invalid compensation weights: {str(e)}")
|
938 |
-
|
939 |
-
# Выполнение расчета
|
940 |
-
try:
|
941 |
-
results = calculator.calculate()
|
942 |
-
except Exception as e:
|
943 |
-
logger.error(f"Calculation failed: {str(e)}\n{traceback.format_exc()}")
|
944 |
-
return jsonify({'error': 'Calculation failed'}), 500
|
945 |
-
|
946 |
-
# Формирование ответа
|
947 |
response = {
|
948 |
'actual_profile': calculator.actual_profile,
|
949 |
'fertilizers': results,
|
950 |
'total_ec': calculator.calculate_ec(),
|
951 |
'total_ppm': sum(calculator.actual_profile.values()),
|
952 |
'nitrogen_ratios': {
|
953 |
-
'NO3_RATIO':
|
954 |
-
'NH4_RATIO':
|
955 |
-
'TOTAL_NITROGEN':
|
956 |
}
|
957 |
}
|
958 |
-
|
959 |
-
#
|
960 |
rounded_response = round_floats(response, rounding_precision)
|
961 |
|
962 |
-
#
|
963 |
if 'fertilizers' in rounded_response:
|
964 |
for fert in rounded_response['fertilizers'].values():
|
965 |
if 'миллиграммы' in fert:
|
966 |
fert['миллиграммы'] = int(round(fert['граммы'] * 1000))
|
967 |
-
|
968 |
-
logger.info("Calculation completed successfully")
|
969 |
return jsonify(rounded_response)
|
970 |
|
971 |
except Exception as e:
|
972 |
-
|
973 |
-
return jsonify({'error': 'Internal server error'}), 500
|
974 |
|
975 |
if __name__ == '__main__':
|
976 |
app.run(host='0.0.0.0', port=int(os.environ.get('PORT', 7860)))
|
|
|
721 |
def __init__(self, volume_liters: float = 1.0):
|
722 |
self.volume = volume_liters
|
723 |
self.results: Dict[str, Dict[str, Any]] = {}
|
724 |
+
self.target_profile = BASE_PROFILE.copy()
|
725 |
+
self.actual_profile = {k: 0.0 for k in BASE_PROFILE}
|
726 |
+
self.fertilizers = NUTRIENT_CONTENT_IN_FERTILIZERS
|
727 |
self.total_ec = 0.0
|
728 |
+
|
729 |
+
# Расчет азота
|
730 |
+
total_parts = NO3_RATIO + NH4_RATIO
|
731 |
+
self.target_profile['N (NO3-)'] = TOTAL_NITROGEN * (NO3_RATIO / total_parts)
|
732 |
+
self.target_profile['N (NH4+)'] = TOTAL_NITROGEN * (NH4_RATIO / total_parts)
|
733 |
+
self.initial_n_profile = {
|
734 |
+
"NO3-": self.target_profile['N (NO3-)'],
|
735 |
+
"NH4+": self.target_profile['N (NH4+)']
|
736 |
+
}
|
737 |
+
|
738 |
+
# Настройки компенсации по умолчанию
|
739 |
self.compensation_weights = {
|
740 |
+
'KNO3': 0.5, # Вес калийной селитры (0-1)
|
741 |
+
'CaNO3': 0.3, # Вес кальциевой селитры (0-1)
|
742 |
+
'K2SO4': 0.2 # Вес сульфата калия (0-1)
|
743 |
}
|
|
|
744 |
|
745 |
def _label(self, element: str) -> str:
|
746 |
+
"""Форматирование названий элементов для вывода"""
|
747 |
labels = {
|
748 |
'N (NO3-)': 'NO3',
|
749 |
'N (NH4+)': 'NH4'
|
|
|
751 |
return labels.get(element, element)
|
752 |
|
753 |
def set_compensation_weights(self, kno3_weight: float, cano3_weight: float, k2so4_weight: float):
|
754 |
+
"""Установка весов для компенсации элементов"""
|
755 |
total = kno3_weight + cano3_weight + k2so4_weight
|
756 |
self.compensation_weights = {
|
757 |
'KNO3': kno3_weight / total,
|
|
|
759 |
'K2SO4': k2so4_weight / total
|
760 |
}
|
761 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
762 |
def calculate(self) -> Dict[str, Any]:
|
763 |
+
"""Основной метод расчета с новой логикой"""
|
764 |
try:
|
765 |
# 1. Вносим Mg и S
|
766 |
self._apply("Сульфат магния", "Mg", self.target_profile['Mg'])
|
767 |
|
768 |
+
# 2. Балансируем азот с учетом компенсации
|
769 |
self._balance_nitrogen_with_compensation()
|
770 |
|
771 |
# 3. Вносим Ca (остаток)
|
|
|
778 |
if p_needed > 0.1:
|
779 |
self._apply("Монофосфат калия", "P", p_needed)
|
780 |
|
781 |
+
# 5. Корректируем K через сульфат калия (если остался дефицит)
|
782 |
k_needed = self.target_profile['K'] - self.actual_profile['K']
|
783 |
if k_needed > 0.1:
|
784 |
self._apply("Калий сернокислый", "K", k_needed)
|
|
|
786 |
return self.results
|
787 |
|
788 |
except Exception as e:
|
789 |
+
print(f"Ошибка при расчёте: {str(e)}")
|
790 |
raise
|
791 |
|
792 |
+
# ... остальные методы класса NutrientCalculator ...
|
|
|
793 |
|
794 |
def round_floats(obj: Union[float, Dict, List], ndigits: int = 3) -> Union[float, Dict, List]:
|
795 |
+
"""Рекурсивно округляет все float значения в структуре данных"""
|
796 |
if isinstance(obj, float):
|
797 |
return round(obj, ndigits)
|
798 |
elif isinstance(obj, dict):
|
799 |
return {k: round_floats(v, ndigits) for k, v in obj.items()}
|
800 |
+
elif isinstance(obj, (list, tuple)):
|
801 |
return [round_floats(x, ndigits) for x in obj]
|
802 |
return obj
|
803 |
|
|
|
805 |
def handle_calculation():
|
806 |
try:
|
807 |
data = request.get_json()
|
|
|
808 |
|
809 |
+
# Получаем параметр точности округления (по умолчанию 3)
|
810 |
+
rounding_precision = int(data['profileSettings'].get('rounding_precision', 3))
|
|
|
|
|
811 |
|
812 |
+
# Проверка обязательных полей
|
813 |
+
if not data or 'fertilizerConstants' not in data or 'profileSettings' not in data:
|
814 |
+
return jsonify({'error': 'Неверный формат данных'}), 400
|
815 |
+
|
816 |
+
# Извлекаем данные из запроса
|
817 |
+
fertilizer_data = data['fertilizerConstants']
|
818 |
+
profile_data = data['profileSettings']
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
819 |
|
820 |
+
# Устанавливаем константы из запроса
|
821 |
+
TOTAL_NITROGEN = float(profile_data.get('TOTAL_NITROG', 125.0))
|
822 |
+
NO3_RATIO = float(profile_data.get('NO3_RAT', 8.25))
|
823 |
+
VOLUME_LITERS = float(profile_data.get('liters', 100))
|
824 |
+
NH4_RATIO = 1.00 # Фиксированное значение
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
825 |
|
826 |
+
# Формируем целевой профиль
|
827 |
target_profile = {
|
828 |
+
'P': float(profile_data.get('P', 31.0)),
|
829 |
+
'K': float(profile_data.get('K', 210.0)),
|
830 |
+
'Mg': float(profile_data.get('Mg', 24.0)),
|
831 |
+
'Ca': float(profile_data.get('Ca', 84.0)),
|
832 |
+
'S': float(profile_data.get('S', 56.439)),
|
833 |
+
'N (NO3-)': 0, # Будет рассчитано в калькуляторе
|
834 |
+
'N (NH4+)': 0 # Будет рассчитано в калькуляторе
|
835 |
}
|
836 |
+
|
837 |
+
# Обновляем константы удобрений
|
838 |
+
NUTRIENT_CONTENT_IN_FERTILIZERS = {
|
839 |
+
"Кальциевая селитра": {
|
840 |
+
"N (NO3-)": float(fertilizer_data["Кальциевая селитра"].get("N (NO3-)", 0.11863)),
|
841 |
+
"Ca": float(fertilizer_data["Кальциевая селитра"].get("Ca", 0.16972))
|
842 |
+
},
|
843 |
+
"Калий азотнокислый": {
|
844 |
+
"N (NO3-)": float(fertilizer_data["Калий азотнокислый"].get("N (NO3-)", 0.13854)),
|
845 |
+
"K": float(fertilizer_data["Калий азотнокислый"].get("K", 0.36672))
|
846 |
+
},
|
847 |
+
"Аммоний азотнокислый": {
|
848 |
+
"N (NO3-)": float(fertilizer_data["Аммоний азотнокислый"].get("N (NO3-)", 0.17499)),
|
849 |
+
"N (NH4+)": float(fertilizer_data["Аммоний азотнокислый"].get("N (NH4+)", 0.17499))
|
850 |
+
},
|
851 |
+
"Сульфат магния": {
|
852 |
+
"Mg": float(fertilizer_data["Сульфат магния"].get("Mg", 0.1022)),
|
853 |
+
"S": float(fertilizer_data["Сульфат магния"].get("S", 0.13483))
|
854 |
+
},
|
855 |
+
"Монофосфат калия": {
|
856 |
+
"P": float(fertilizer_data["Монофосфат калия"].get("P", 0.22761)),
|
857 |
+
"K": float(fertilizer_data["Монофосфат калия"].get("K", 0.28731))
|
858 |
+
},
|
859 |
+
"Калий сернокислый": {
|
860 |
+
"K": float(fertilizer_data["Калий сернокислый"].get("K", 0.44874)),
|
861 |
+
"S": float(fertilizer_data["Калий сернокислый"].get("S", 0.18401))
|
862 |
+
}
|
863 |
+
}
|
864 |
+
|
865 |
+
# Создаем и настраиваем калькулятор
|
866 |
+
calculator = NutrientCalculator(volume_liters=VOLUME_LITERS)
|
867 |
calculator.target_profile = target_profile
|
868 |
+
calculator.fertilizers = NUTRIENT_CONTENT_IN_FERTILIZERS
|
869 |
+
|
870 |
+
# Устанавливаем параметры азота
|
871 |
+
calculator.target_profile['N (NO3-)'] = TOTAL_NITROGEN * (NO3_RATIO / (NO3_RATIO + NH4_RATIO))
|
872 |
+
calculator.target_profile['N (NH4+)'] = TOTAL_NITROGEN * (NH4_RATIO / (NO3_RATIO + NH4_RATIO))
|
873 |
+
|
874 |
+
# Выполняем расчет
|
875 |
+
results = calculator.calculate()
|
876 |
+
|
877 |
+
# Формируем ответ
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
878 |
response = {
|
879 |
'actual_profile': calculator.actual_profile,
|
880 |
'fertilizers': results,
|
881 |
'total_ec': calculator.calculate_ec(),
|
882 |
'total_ppm': sum(calculator.actual_profile.values()),
|
883 |
'nitrogen_ratios': {
|
884 |
+
'NO3_RATIO': NO3_RATIO,
|
885 |
+
'NH4_RATIO': NH4_RATIO,
|
886 |
+
'TOTAL_NITROGEN': TOTAL_NITROGEN
|
887 |
}
|
888 |
}
|
889 |
+
|
890 |
+
# Округляем все числовые значения
|
891 |
rounded_response = round_floats(response, rounding_precision)
|
892 |
|
893 |
+
# Для миллиграммов применяем целочисленное округление
|
894 |
if 'fertilizers' in rounded_response:
|
895 |
for fert in rounded_response['fertilizers'].values():
|
896 |
if 'миллиграммы' in fert:
|
897 |
fert['миллиграммы'] = int(round(fert['граммы'] * 1000))
|
898 |
+
|
|
|
899 |
return jsonify(rounded_response)
|
900 |
|
901 |
except Exception as e:
|
902 |
+
return jsonify({'error': str(e)}), 500
|
|
|
903 |
|
904 |
if __name__ == '__main__':
|
905 |
app.run(host='0.0.0.0', port=int(os.environ.get('PORT', 7860)))
|