Revert "Added more keyboard features."

This reverts commit 94c72e3172.

config.yaml

@@ -211,13 +211,7 @@ PHONE_DATA_YIELD:
 # See https://www.rapids.science/latest/features/phone-keyboard/
 PHONE_KEYBOARD:
   CONTAINER: keyboard
-  PROVIDERS:
+  PROVIDERS: # None implemented yet but this sensor can be used in PHONE_DATA_YIELD
-    RAPIDS:
-      COMPUTE: True
-      FEATURES: ["sessioncount","avereageinterkeydelay","changeintextlengthlessthanminusone","changeintextlengthequaltominusone","changeintextlengthequaltoone","changeintextlengthmorethanone","maxtextlength","lastmessagelength"]
-      SRC_FOLDER: "rapids" # inside src/features/phone_keyboard
-      SRC_LANGUAGE: "python"
-      SRC_SCRIPT: src/features/phone_keyboard/rapids/main.py
 
 # See https://www.rapids.science/latest/features/phone-light/
 PHONE_LIGHT:

src/features/phone_keyboard/rapids/main.py

@@ -1,55 +0,0 @@
-import pandas as pd
-import numpy as np
-
-def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs):
-
-    keyboard_data = pd.read_csv(sensor_data_files["sensor_data"])
-    requested_features = provider["FEATURES"]
-
-    # name of the features this function can compute
-    base_features_names = ["sessioncount","avereageinterkeydelay","changeintextlengthlessthanminusone","changeintextlengthequaltominusone","changeintextlengthequaltoone","changeintextlengthmorethanone","maxtextlength","lastmessagelength"]
-
-    # the subset of requested features this function can compute
-    features_to_compute = list(set(requested_features) & set(base_features_names))
-
-    keyboard_features = pd.DataFrame(columns=["local_segment"] + features_to_compute)
-    if not keyboard_data.empty:
-        keyboard_data = filter_data_by_segment(keyboard_data, time_segment)
-        
-        if not keyboard_data.empty:
-            keyboard_features = pd.DataFrame()
-
-            keyboard_data["keyboardStrokeDuration"] = keyboard_data['timestamp'].shift(-1) - keyboard_data['timestamp']
-            keyboard_data["sessionStart"]           = keyboard_data["keyboardStrokeDuration"].apply(lambda x: 1 if x>=5000 else 0)
-            keyboard_data["sessionNumber"]          = keyboard_data["sessionStart"].cumsum()
-            keyboard_data["changeInText"]           = keyboard_data["current_text"].str.len() - 2 - keyboard_data['before_text'].str.len()
-            keyboard_data["currentTextLength"]      = keyboard_data["current_text"].str.len() - 2
-
-            if "sessioncount" in features_to_compute:
-                keyboard_features['sessioncount'] = keyboard_data.groupby(['local_segment'])['sessionStart'].sum()
-
-            if "averageinterkeydelay" in features_to_compute:
-                keyboard_features['averageinterkeydelay'] = keyboard_data[keyboard_data['sessionStart'] == 0].groupby(['local_segment','sessionNumber'])['duration'].mean().reset_index().groupby(['local_segment'])['duration'].mean()
-
-            if "changeintextlengthlessthanminusone" in features_to_compute:
-                keyboard_features['changeintextlengthlessthanminusone'] = keyboard_data[keyboard_data.changeInText < -1].groupby(['local_segment','sessionNumber'])['changeInText'].count().reset_index().groupby(['local_segment'])['changeInText'].count()
-
-            if "changeintextlengthequaltominusone" in features_to_compute:
-                keyboard_features['changeintextlengthequaltominusone'] = keyboard_data[keyboard_data.changeInText == -1].groupby(['local_segment','sessionNumber'])['changeInText'].count().reset_index().groupby(['local_segment'])['changeInText'].count()
-
-            if "changeintextlengthequaltoone" in features_to_compute:
-                keyboard_features['changeintextlengthequaltoone'] = keyboard_data[keyboard_data.changeInText == 1].groupby(['local_segment','sessionNumber'])['changeInText'].count().reset_index().groupby(['local_segment'])['changeInText'].count()
-
-            if "changeintextlengthmorethanone" in features_to_compute:
-                keyboard_features['changeintextlengthmorethanone'] = keyboard_data[keyboard_data.changeInText > 1].groupby(['local_segment','sessionNumber'])['changeInText'].count().reset_index().groupby(['local_segment'])['changeInText'].count()
-
-            if "maxtextlength" in features_to_compute:
-                keyboard_features["maxtextlength"] = keyboard_data[keyboard_data.currentTextLength > 0].groupby(['local_segment','sessionNumber'])['currentTextLength'].max().reset_index().groupby(['local_segment'])['currentTextLength'].mean()
-
-            if "lastmessagelength" in features_to_compute:
-                keyboard_data_copy = keyboard_data[['local_segment','sessionNumber','currentTextLength']].copy()
-                keyboard_features["lastmessagelength"] = keyboard_data_copy[keyboard_data_copy.currentTextLength > 0].groupby(['local_segment','sessionNumber'])['currentTextLength'].mean().reset_index().groupby(['local_segment'])['currentTextLength'].mean()
-
-            keyboard_features = keyboard_features.reset_index()
-
-    return keyboard_features