feat(SRC): :rocket: Add logs as output to get from API
Browse files
app.py
CHANGED
@@ -22,6 +22,9 @@ def calcular_macros(esfuerzo_dieta, objetivo, cumplimiento_entrenamiento,
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train_day_protein_initial, train_day_carbs_initial, train_day_fat_initial,
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intratrain_protein_initial, intratrain_carbs_initial,
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rest_day_protein_initial, rest_day_carbs_initial, rest_day_fat_initial):
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# Obtenemos los valores correspondientes a cada selección
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valor_esfuerzo = next(list(opcion.values())[0]["value"]
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for opcion in opciones_esfuerzo
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@@ -46,6 +49,7 @@ def calcular_macros(esfuerzo_dieta, objetivo, cumplimiento_entrenamiento,
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# Clustering
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variacion_peso = peso_final - peso_inicial
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print(f"\n\nVariación de peso: {variacion_peso}")
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(cluster_esfuerzo_dieta, cluster_objetivo, cluster_entrenamiento, cluster_cumplimiento_dieta,
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cluster_compromiso, diff_peso_min, diff_peso_max) = clustering_responses(valor_esfuerzo, valor_objetivo,
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valor_cumplimiento_entr,
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@@ -54,28 +58,40 @@ def calcular_macros(esfuerzo_dieta, objetivo, cumplimiento_entrenamiento,
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# Imprimimos los resultados
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print(f"Respuestas formulario:")
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print(f"\tEsfuerzo para cumplir dieta: {cluster_esfuerzo_dieta}")
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print(f"\tObjetivo: {cluster_objetivo}")
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print(f"\tEntrenamiento: {cluster_entrenamiento}")
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print(f"\tCumplimiento dieta: {cluster_cumplimiento_dieta}")
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print(f"\tCompromiso: {cluster_compromiso}")
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print(f"\tPeso inicial: {peso_inicial}, peso final: {peso_final} --> Diferencia: {variacion_peso:.1f}")
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print(f"\t{diff_peso_min} <= Diferencia peso <= {diff_peso_max}")
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# Crear query
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query = make_query(cluster_esfuerzo_dieta, cluster_objetivo, cluster_entrenamiento, cluster_cumplimiento_dieta, cluster_compromiso, diff_peso_min, diff_peso_max)
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# Print query
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print(f"Query:")
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for q in query:
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print(f"\t{list(q.keys())[0]}", end=" --> ")
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for primary_key in q.keys():
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primary_key_dict = q[primary_key]
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for i, secondary_key in enumerate(primary_key_dict.keys()):
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if i == len(primary_key_dict.keys()) - 1:
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print(f"{secondary_key}: \"{primary_key_dict[secondary_key]}\"", end="")
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else:
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print(f"{secondary_key}: \"{primary_key_dict[secondary_key]}\"", end=", ")
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print()
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# Crear diccionario de matches
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@@ -85,38 +101,52 @@ def calcular_macros(esfuerzo_dieta, objetivo, cumplimiento_entrenamiento,
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# Si no hay matches, intentamos con una query más básica
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if num_matches == 0:
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print("No se han encontrado coincidencias con la query original, intentamos con una query más básica")
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query = make_query(cluster_esfuerzo_dieta, cluster_objetivo, cluster_entrenamiento, cluster_cumplimiento_dieta, cluster_compromiso, diff_peso_min, diff_peso_max, basic_query=True)
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# Print query
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print(f"Query:")
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for q in query:
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print(f"\t{list(q.keys())[0]}", end=" --> ")
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for primary_key in q.keys():
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primary_key_dict = q[primary_key]
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for i, secondary_key in enumerate(primary_key_dict.keys()):
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if i == len(primary_key_dict.keys()) - 1:
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print(f"{secondary_key}: \"{primary_key_dict[secondary_key]}\"", end="")
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else:
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print(f"{secondary_key}: \"{primary_key_dict[secondary_key]}\"", end=", ")
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-
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matches_dict = find_user_dates_matches(query)
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num_matches = len(matches_dict)
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# Print matches
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print(f"Matches ({num_matches})")
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for user, dates in matches_dict.items():
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print(f"\t{user}", end=" --> ")
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for date in dates:
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print(f"{date}", end=", ")
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print()
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# Find macros that match dates of users
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macros_differences_list, macros_differences_dict = find_macros_that_match_dates_of_users(matches_dict)
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# Print macros
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print(f"Diferencia de macros ({len(macros_differences_dict)}):")
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for user, macros_difference in macros_differences_dict.items():
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print(f"\t{user} --> fecha de match: {macros_difference['date_of_match']}, fecha de asignación de macros: {macros_difference['date_of_macros_asignation']}, días entre match y asignación: {macros_difference['days_between_match_and_macros_asignation']}, diferencia de macros: {macros_difference['macros_difference']}")
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# Calculate macros min, max and mean
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if len(macros_differences_list) > 0:
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@@ -134,14 +164,23 @@ def calcular_macros(esfuerzo_dieta, objetivo, cumplimiento_entrenamiento,
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# Print macros min, max and mean
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print("Variación de macros:")
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print(f"\tproteína día de entreno: Min: {train_day_protein_std[0]}, Max: {train_day_protein_std[1]}, Mean: {train_day_protein_std[2]:.2f}, Mode: {train_day_protein_std[3]}")
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print(f"\tcarbohidratos día de entreno: Min: {train_day_carbs_std[0]}, Max: {train_day_carbs_std[1]}, Mean: {train_day_carbs_std[2]:.2f}, Mode: {train_day_carbs_std[3]}")
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print(f"\tgrasas día de entreno: Min: {train_day_fat_std[0]}, Max: {train_day_fat_std[1]}, Mean: {train_day_fat_std[2]:.2f}, Mode: {train_day_fat_std[3]}")
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print(f"\tproteína intraentreno: Min: {intratrain_protein_std[0]}, Max: {intratrain_protein_std[1]}, Mean: {intratrain_protein_std[2]:.2f}, Mode: {intratrain_protein_std[3]}")
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print(f"\tcarbohidratos intraentreno: Min: {intratrain_carbs_std[0]}, Max: {intratrain_carbs_std[1]}, Mean: {intratrain_carbs_std[2]:.2f}, Mode: {intratrain_carbs_std[3]}")
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print(f"\tproteína día de descanso: Min: {rest_day_protein_std[0]}, Max: {rest_day_protein_std[1]}, Mean: {rest_day_protein_std[2]:.2f}, Mode: {rest_day_protein_std[3]}")
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print(f"\tcarbohidratos día de descanso: Min: {rest_day_carbs_std[0]}, Max: {rest_day_carbs_std[1]}, Mean: {rest_day_carbs_std[2]:.2f}, Mode: {rest_day_carbs_std[3]}")
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print(f"\tgrasas día de descanso: Min: {rest_day_fat_std[0]}, Max: {rest_day_fat_std[1]}, Mean: {rest_day_fat_std[2]:.2f}, Mode: {rest_day_fat_std[3]}")
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# Get macros mode
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train_day_protein_mode = train_day_protein_std[3]
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@@ -165,18 +204,28 @@ def calcular_macros(esfuerzo_dieta, objetivo, cumplimiento_entrenamiento,
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# Print macros
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print("Macros finales:")
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print(f"\tProteína día de entreno inicial: {train_day_protein_initial} --> final: {train_day_protein_final}")
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print(f"\tCarbohidratos día de entreno inicial: {train_day_carbs_initial} --> final: {train_day_carbs_final}")
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print(f"\tGrasas día de entreno inicial: {train_day_fat_initial} --> final: {train_day_fat_final}")
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print(f"\tProteína intraentreno inicial: {intratrain_protein_initial} --> final: {intratrain_protein_final}")
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print(f"\tCarbohidratos intraentreno inicial: {intratrain_carbs_initial} --> final: {intratrain_carbs_final}")
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print(f"\tProteína día de descanso inicial: {rest_day_protein_initial} --> final: {rest_day_protein_final}")
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print(f"\tCarbohidratos día de descanso inicial: {rest_day_carbs_initial} --> final: {rest_day_carbs_final}")
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print(f"\tGrasas día de descanso inicial: {rest_day_fat_initial} --> final: {rest_day_fat_final}")
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return (train_day_protein_final, train_day_carbs_final, train_day_fat_final,
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intratrain_protein_final, intratrain_carbs_final,
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-
rest_day_protein_final, rest_day_carbs_final, rest_day_fat_final
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# Definimos el color naranja
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naranja = "#ea580b"
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@@ -391,6 +440,9 @@ with gr.Blocks(css=style_css, elem_classes="demo") as demo:
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rest_day_carbs_final = gr.Number(label="Carbohidratos día de descanso Final (g)", precision=0, elem_classes="output-number")
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rest_day_fat_final = gr.Number(label="Grasas día de descanso Final (g)", precision=0, elem_classes="output-number")
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# Conectamos el botón con la función
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calcular_btn.click(
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fn=calcular_macros,
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@@ -401,7 +453,8 @@ with gr.Blocks(css=style_css, elem_classes="demo") as demo:
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rest_day_protein_initial, rest_day_carbs_initial, rest_day_fat_initial],
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outputs=[train_day_protein_final, train_day_carbs_final, train_day_fat_final,
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intratrain_protein_final, intratrain_carbs_final,
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rest_day_protein_final, rest_day_carbs_final, rest_day_fat_final
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)
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demo.launch()
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train_day_protein_initial, train_day_carbs_initial, train_day_fat_initial,
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intratrain_protein_initial, intratrain_carbs_initial,
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rest_day_protein_initial, rest_day_carbs_initial, rest_day_fat_initial):
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+
# Logs
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logs = ""
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+
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# Obtenemos los valores correspondientes a cada selección
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valor_esfuerzo = next(list(opcion.values())[0]["value"]
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for opcion in opciones_esfuerzo
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# Clustering
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variacion_peso = peso_final - peso_inicial
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print(f"\n\nVariación de peso: {variacion_peso}")
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+
logs += f"\n\nVariación de peso: {variacion_peso}"
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(cluster_esfuerzo_dieta, cluster_objetivo, cluster_entrenamiento, cluster_cumplimiento_dieta,
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cluster_compromiso, diff_peso_min, diff_peso_max) = clustering_responses(valor_esfuerzo, valor_objetivo,
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valor_cumplimiento_entr,
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# Imprimimos los resultados
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print(f"Respuestas formulario:")
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logs += f"\n\nRespuestas formulario:"
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print(f"\tEsfuerzo para cumplir dieta: {cluster_esfuerzo_dieta}")
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logs += f"\n\tEsfuerzo para cumplir dieta: {cluster_esfuerzo_dieta}"
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print(f"\tObjetivo: {cluster_objetivo}")
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logs += f"\n\tObjetivo: {cluster_objetivo}"
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print(f"\tEntrenamiento: {cluster_entrenamiento}")
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logs += f"\n\tEntrenamiento: {cluster_entrenamiento}"
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print(f"\tCumplimiento dieta: {cluster_cumplimiento_dieta}")
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logs += f"\n\tCumplimiento dieta: {cluster_cumplimiento_dieta}"
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print(f"\tCompromiso: {cluster_compromiso}")
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logs += f"\n\tCompromiso: {cluster_compromiso}"
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print(f"\tPeso inicial: {peso_inicial}, peso final: {peso_final} --> Diferencia: {variacion_peso:.1f}")
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logs += f"\n\tPeso inicial: {peso_inicial}, peso final: {peso_final} --> Diferencia: {variacion_peso:.1f}"
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print(f"\t{diff_peso_min} <= Diferencia peso <= {diff_peso_max}")
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logs += f"\n\t{diff_peso_min} <= Diferencia peso <= {diff_peso_max}"
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# Crear query
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query = make_query(cluster_esfuerzo_dieta, cluster_objetivo, cluster_entrenamiento, cluster_cumplimiento_dieta, cluster_compromiso, diff_peso_min, diff_peso_max)
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# Print query
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print(f"Query:")
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logs += f"\n\nQuery:"
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for q in query:
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print(f"\t{list(q.keys())[0]}", end=" --> ")
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logs += f"\n\t{list(q.keys())[0]} --> "
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for primary_key in q.keys():
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primary_key_dict = q[primary_key]
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for i, secondary_key in enumerate(primary_key_dict.keys()):
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if i == len(primary_key_dict.keys()) - 1:
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print(f"{secondary_key}: \"{primary_key_dict[secondary_key]}\"", end="")
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logs += f"{secondary_key}: \"{primary_key_dict[secondary_key]}\""
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else:
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print(f"{secondary_key}: \"{primary_key_dict[secondary_key]}\"", end=", ")
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logs += f"{secondary_key}: \"{primary_key_dict[secondary_key]}\", "
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print()
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# Crear diccionario de matches
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# Si no hay matches, intentamos con una query más básica
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if num_matches == 0:
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print("No se han encontrado coincidencias con la query original, intentamos con una query más básica")
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logs += "\n\nNo se han encontrado coincidencias con la query original, intentamos con una query más básica"
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query = make_query(cluster_esfuerzo_dieta, cluster_objetivo, cluster_entrenamiento, cluster_cumplimiento_dieta, cluster_compromiso, diff_peso_min, diff_peso_max, basic_query=True)
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# Print query
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print(f"Query:")
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logs += "\n\nQuery:"
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for q in query:
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print(f"\t{list(q.keys())[0]}", end=" --> ")
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logs += f"\n\t{list(q.keys())[0]} --> "
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for primary_key in q.keys():
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primary_key_dict = q[primary_key]
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for i, secondary_key in enumerate(primary_key_dict.keys()):
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if i == len(primary_key_dict.keys()) - 1:
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print(f"{secondary_key}: \"{primary_key_dict[secondary_key]}\"", end="")
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logs += f"{secondary_key}: \"{primary_key_dict[secondary_key]}\""
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else:
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print(f"{secondary_key}: \"{primary_key_dict[secondary_key]}\"", end=", ")
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logs += f"{secondary_key}: \"{primary_key_dict[secondary_key]}\", "
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print()
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logs += "\n"
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# Find matches
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matches_dict = find_user_dates_matches(query)
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num_matches = len(matches_dict)
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# Print matches
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print(f"Matches ({num_matches})")
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logs += f"\n\nMatches ({num_matches})"
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for user, dates in matches_dict.items():
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print(f"\t{user}", end=" --> ")
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logs += f"\t{user} --> "
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for date in dates:
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print(f"{date}", end=", ")
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logs += f"{date}, "
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print()
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logs += "\n"
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# Find macros that match dates of users
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macros_differences_list, macros_differences_dict = find_macros_that_match_dates_of_users(matches_dict)
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# Print macros
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print(f"Diferencia de macros ({len(macros_differences_dict)}):")
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logs += f"\n\nDiferencia de macros ({len(macros_differences_dict)}):"
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for user, macros_difference in macros_differences_dict.items():
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print(f"\t{user} --> fecha de match: {macros_difference['date_of_match']}, fecha de asignación de macros: {macros_difference['date_of_macros_asignation']}, días entre match y asignación: {macros_difference['days_between_match_and_macros_asignation']}, diferencia de macros: {macros_difference['macros_difference']}")
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+
logs += f"\n\t{user} --> fecha de match: {macros_difference['date_of_match']}, fecha de asignación de macros: {macros_difference['date_of_macros_asignation']}, días entre match y asignación: {macros_difference['days_between_match_and_macros_asignation']}, diferencia de macros: {macros_difference['macros_difference']}"
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# Calculate macros min, max and mean
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if len(macros_differences_list) > 0:
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# Print macros min, max and mean
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print("Variación de macros:")
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logs += "\n\nVariación de macros:"
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print(f"\tproteína día de entreno: Min: {train_day_protein_std[0]}, Max: {train_day_protein_std[1]}, Mean: {train_day_protein_std[2]:.2f}, Mode: {train_day_protein_std[3]}")
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+
logs += f"\n\tproteína día de entreno: Min: {train_day_protein_std[0]}, Max: {train_day_protein_std[1]}, Mean: {train_day_protein_std[2]:.2f}, Mode: {train_day_protein_std[3]}"
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print(f"\tcarbohidratos día de entreno: Min: {train_day_carbs_std[0]}, Max: {train_day_carbs_std[1]}, Mean: {train_day_carbs_std[2]:.2f}, Mode: {train_day_carbs_std[3]}")
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+
logs += f"\n\tcarbohidratos día de entreno: Min: {train_day_carbs_std[0]}, Max: {train_day_carbs_std[1]}, Mean: {train_day_carbs_std[2]:.2f}, Mode: {train_day_carbs_std[3]}"
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print(f"\tgrasas día de entreno: Min: {train_day_fat_std[0]}, Max: {train_day_fat_std[1]}, Mean: {train_day_fat_std[2]:.2f}, Mode: {train_day_fat_std[3]}")
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+
logs += f"\n\tgrasas día de entreno: Min: {train_day_fat_std[0]}, Max: {train_day_fat_std[1]}, Mean: {train_day_fat_std[2]:.2f}, Mode: {train_day_fat_std[3]}"
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print(f"\tproteína intraentreno: Min: {intratrain_protein_std[0]}, Max: {intratrain_protein_std[1]}, Mean: {intratrain_protein_std[2]:.2f}, Mode: {intratrain_protein_std[3]}")
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+
logs += f"\n\tproteína intraentreno: Min: {intratrain_protein_std[0]}, Max: {intratrain_protein_std[1]}, Mean: {intratrain_protein_std[2]:.2f}, Mode: {intratrain_protein_std[3]}"
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print(f"\tcarbohidratos intraentreno: Min: {intratrain_carbs_std[0]}, Max: {intratrain_carbs_std[1]}, Mean: {intratrain_carbs_std[2]:.2f}, Mode: {intratrain_carbs_std[3]}")
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+
logs += f"\n\tcarbohidratos intraentreno: Min: {intratrain_carbs_std[0]}, Max: {intratrain_carbs_std[1]}, Mean: {intratrain_carbs_std[2]:.2f}, Mode: {intratrain_carbs_std[3]}"
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print(f"\tproteína día de descanso: Min: {rest_day_protein_std[0]}, Max: {rest_day_protein_std[1]}, Mean: {rest_day_protein_std[2]:.2f}, Mode: {rest_day_protein_std[3]}")
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+
logs += f"\n\tproteína día de descanso: Min: {rest_day_protein_std[0]}, Max: {rest_day_protein_std[1]}, Mean: {rest_day_protein_std[2]:.2f}, Mode: {rest_day_protein_std[3]}"
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180 |
print(f"\tcarbohidratos día de descanso: Min: {rest_day_carbs_std[0]}, Max: {rest_day_carbs_std[1]}, Mean: {rest_day_carbs_std[2]:.2f}, Mode: {rest_day_carbs_std[3]}")
|
181 |
+
logs += f"\n\tcarbohidratos día de descanso: Min: {rest_day_carbs_std[0]}, Max: {rest_day_carbs_std[1]}, Mean: {rest_day_carbs_std[2]:.2f}, Mode: {rest_day_carbs_std[3]}"
|
182 |
print(f"\tgrasas día de descanso: Min: {rest_day_fat_std[0]}, Max: {rest_day_fat_std[1]}, Mean: {rest_day_fat_std[2]:.2f}, Mode: {rest_day_fat_std[3]}")
|
183 |
+
logs += f"\n\tgrasas día de descanso: Min: {rest_day_fat_std[0]}, Max: {rest_day_fat_std[1]}, Mean: {rest_day_fat_std[2]:.2f}, Mode: {rest_day_fat_std[3]}"
|
184 |
|
185 |
# Get macros mode
|
186 |
train_day_protein_mode = train_day_protein_std[3]
|
|
|
204 |
|
205 |
# Print macros
|
206 |
print("Macros finales:")
|
207 |
+
logs += "\n\nMacros finales:"
|
208 |
print(f"\tProteína día de entreno inicial: {train_day_protein_initial} --> final: {train_day_protein_final}")
|
209 |
+
logs += f"\n\tProteína día de entreno inicial: {train_day_protein_initial} --> final: {train_day_protein_final}"
|
210 |
print(f"\tCarbohidratos día de entreno inicial: {train_day_carbs_initial} --> final: {train_day_carbs_final}")
|
211 |
+
logs += f"\n\tCarbohidratos día de entreno inicial: {train_day_carbs_initial} --> final: {train_day_carbs_final}"
|
212 |
print(f"\tGrasas día de entreno inicial: {train_day_fat_initial} --> final: {train_day_fat_final}")
|
213 |
+
logs += f"\n\tGrasas día de entreno inicial: {train_day_fat_initial} --> final: {train_day_fat_final}"
|
214 |
print(f"\tProteína intraentreno inicial: {intratrain_protein_initial} --> final: {intratrain_protein_final}")
|
215 |
+
logs += f"\n\tProteína intraentreno inicial: {intratrain_protein_initial} --> final: {intratrain_protein_final}"
|
216 |
print(f"\tCarbohidratos intraentreno inicial: {intratrain_carbs_initial} --> final: {intratrain_carbs_final}")
|
217 |
+
logs += f"\n\tCarbohidratos intraentreno inicial: {intratrain_carbs_initial} --> final: {intratrain_carbs_final}"
|
218 |
print(f"\tProteína día de descanso inicial: {rest_day_protein_initial} --> final: {rest_day_protein_final}")
|
219 |
+
logs += f"\n\tProteína día de descanso inicial: {rest_day_protein_initial} --> final: {rest_day_protein_final}"
|
220 |
print(f"\tCarbohidratos día de descanso inicial: {rest_day_carbs_initial} --> final: {rest_day_carbs_final}")
|
221 |
+
logs += f"\n\tCarbohidratos día de descanso inicial: {rest_day_carbs_initial} --> final: {rest_day_carbs_final}"
|
222 |
print(f"\tGrasas día de descanso inicial: {rest_day_fat_initial} --> final: {rest_day_fat_final}")
|
223 |
+
logs += f"\n\tGrasas día de descanso inicial: {rest_day_fat_initial} --> final: {rest_day_fat_final}"
|
224 |
|
225 |
return (train_day_protein_final, train_day_carbs_final, train_day_fat_final,
|
226 |
intratrain_protein_final, intratrain_carbs_final,
|
227 |
+
rest_day_protein_final, rest_day_carbs_final, rest_day_fat_final,
|
228 |
+
logs)
|
229 |
|
230 |
# Definimos el color naranja
|
231 |
naranja = "#ea580b"
|
|
|
440 |
rest_day_carbs_final = gr.Number(label="Carbohidratos día de descanso Final (g)", precision=0, elem_classes="output-number")
|
441 |
rest_day_fat_final = gr.Number(label="Grasas día de descanso Final (g)", precision=0, elem_classes="output-number")
|
442 |
|
443 |
+
# Logs
|
444 |
+
logs = gr.Textbox(label="Logs", lines=10, elem_classes="output-textbox", visible=False)
|
445 |
+
|
446 |
# Conectamos el botón con la función
|
447 |
calcular_btn.click(
|
448 |
fn=calcular_macros,
|
|
|
453 |
rest_day_protein_initial, rest_day_carbs_initial, rest_day_fat_initial],
|
454 |
outputs=[train_day_protein_final, train_day_carbs_final, train_day_fat_final,
|
455 |
intratrain_protein_final, intratrain_carbs_final,
|
456 |
+
rest_day_protein_final, rest_day_carbs_final, rest_day_fat_final,
|
457 |
+
logs]
|
458 |
)
|
459 |
|
460 |
demo.launch()
|