Add tests for proximity.

2021-08-17 10:51:51 +02:00 · 2021-08-17 10:51:51 +02:00 · bb75abcb9b
parent e7fe4e8398
commit bb75abcb9b
3 changed files with 99 additions and 1 deletions
--- a/data/example_proximity.csv
+++ b/data/example_proximity.csv
@ -0,0 +1,63 @@
+id,timestamp,device_id,_id,double_proximity,accuracy,label,dateTime
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--- a/features/proximity.py
+++ b/features/proximity.py
@ -5,6 +5,8 @@ import pandas as pd
 from config.models import Participant, Proximity
 from setup import db_engine, session

+FEATURES_PROXIMITY = ["freq_prox_near", "prop_prox_near"]
+

 def get_proximity_data(usernames: Collection) -> pd.DataFrame:
    """
@ -56,7 +58,7 @@ def recode_proximity(df_proximity: pd.DataFrame) -> pd.DataFrame:


 def count_proximity(
-    df_proximity: pd.DataFrame, group_by: Collection = ["participant_id"]
+    df_proximity: pd.DataFrame, group_by: Collection = None
 ) -> pd.DataFrame:
    """
    The function counts how many times a "near" value occurs in proximity
@ -75,6 +77,8 @@ def count_proximity(
    df_proximity_features: pd.DataFrame
        A dataframe with the count of "near" proximity values and their relative count.
    """
+    if group_by is None:
+        group_by = ["participant_id"]
    if "bool_prox_near" not in df_proximity:
        df_proximity = recode_proximity(df_proximity)
    df_proximity["bool_prox_far"] = ~df_proximity["bool_prox_near"]
--- a/test/test_proximity.py
+++ b/test/test_proximity.py
@ -0,0 +1,31 @@
+import unittest
+
+from features.proximity import *
+
+
+class ProximityFeatures(unittest.TestCase):
+    df_proximity = pd.DataFrame()
+    df_proximity_recoded = pd.DataFrame()
+    df_proximity_features = pd.DataFrame()
+
+    @classmethod
+    def setUpClass(cls) -> None:
+        cls.df_proximity = pd.read_csv("../data/example_proximity.csv")
+        cls.df_proximity["participant_id"] = 99
+
+    def test_recode_proximity(self):
+        self.df_proximity_recoded = recode_proximity(self.df_proximity)
+        self.assertIn("bool_prox_near", self.df_proximity_recoded)
+        # Is the recoded column present?
+        self.assertIn(True, self.df_proximity_recoded.bool_prox_near)
+        # Are there "near" values in the data?
+        self.assertIn(False, self.df_proximity_recoded.bool_prox_near)
+        # Are there "far" values in the data?
+
+    def test_count_proximity(self):
+        self.df_proximity_recoded = recode_proximity(self.df_proximity)
+        self.df_proximity_features = count_proximity(self.df_proximity_recoded)
+        print(self.df_proximity_features.columns)
+        self.assertCountEqual(
+            self.df_proximity_features.columns.to_list(), FEATURES_PROXIMITY
+        )