Added the ice functions

Author: miriamkw

python_api/python_api.py

@@ -2,6 +2,8 @@
 This file provides an API for calling the functions in the dynamic library. These functions are c-embeddings
 for swift functions, found in Sources/LoopAlgorithmToPython/LoopAlgorithmToPython.swift.
 """
+import pandas as pd
+
 from helpers import get_bytes_from_json
 
 import ctypes
@@ -25,17 +27,54 @@ def initialize_exception_handlers():
     initializeSignalHandlers()
 
 
-def generate_prediction(json_file, len=82):
+def generate_prediction(json_file, len=72):
     json_bytes = get_bytes_from_json(json_file)
 
     swift_lib.generatePrediction.argtypes = [ctypes.c_char_p]
     swift_lib.generatePrediction.restype = ctypes.POINTER(ctypes.c_double)
 
     result = swift_lib.generatePrediction(json_bytes)
-    result_array = [result[i] for i in range(len)]
+    return [result[i] for i in range(len)]
+
+
+def get_prediction_dates(json_file):
+    json_bytes = get_bytes_from_json(json_file)
+
+    swift_lib.getPredictionDates.argtypes = [ctypes.c_char_p]
+    swift_lib.getPredictionDates.restype = ctypes.c_char_p
+
+    result = swift_lib.getPredictionDates(json_bytes).decode('utf-8')
+    date_list = result.split(',')[:-1]
+    #date_list = [pd.to_datetime(date) for date in date_list]
+
+    return date_list
+
+
+# TODO: Add combined predictions and dates, with assertequals to check whether they are of same length
+
 
-    return result_array
+# "Glucose effect velocity" is equivalent to insulin counteraction effect (ICE)
+def get_glucose_effect_velocity(json_file, len=72):
+    json_bytes = get_bytes_from_json(json_file)
+
+    swift_lib.getGlucoseEffectVelocity.argtypes = [ctypes.c_char_p]
+    swift_lib.getGlucoseEffectVelocity.restype = ctypes.POINTER(ctypes.c_double)
+
+    result = swift_lib.getGlucoseEffectVelocity(json_bytes)
+    return [result[i] for i in range(len)]
+
+
+def get_glucose_effect_velocity_dates(json_file):
+    json_bytes = get_bytes_from_json(json_file)
+
+    swift_lib.getGlucoseEffectVelocityDates.argtypes = [ctypes.c_char_p]
+    swift_lib.getGlucoseEffectVelocityDates.restype = ctypes.c_char_p
+
+    result = swift_lib.getGlucoseEffectVelocityDates(json_bytes).decode('utf-8')
+    date_list = result.split(',')[:-1]
+    #date_list = [pd.to_datetime(date) for date in date_list]
 
+    return date_list
 
 
 
@@ -45,11 +84,24 @@ def generate_prediction(json_file, len=82):
 
 
 
+# THIS IS FOR TESTING, REMOVE WHEN DONE!
+
 with open('python_tests/test_files/generate_prediction_input.json', 'r') as f:
     json_file = json.load(f)
 
 
 initialize_exception_handlers()
-res = generate_prediction(json_file)
+prediction_values = generate_prediction(json_file)
+print("prediction values", prediction_values)
+print(" ")
+prediction_dates = get_prediction_dates(json_file)
+print("prediction dates", prediction_dates)
+print(" ")
+glucose_effect_velocity = get_glucose_effect_velocity(json_file)
+print("glucose_effect_velocity", glucose_effect_velocity)
+print(" ")
+glucose_effect_velocity_dates = get_glucose_effect_velocity_dates(json_file)
+print("glucose_effect_velocity_dates", glucose_effect_velocity_dates)
+print(" ")
+
 
-print(res)