From 1a321bb2fede27bdc55c313c1a337392c62af7a7 Mon Sep 17 00:00:00 2001 From: Agam Kumar Date: Mon, 17 Aug 2020 03:03:09 -0400 Subject: [PATCH 01/37] Dockerfile + travis.yml changes --- .travis.yml | 7 +++++++ Dockerfile | 43 +++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 50 insertions(+) create mode 100644 Dockerfile diff --git a/.travis.yml b/.travis.yml index ba118a49..6fdb61c6 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,5 +1,8 @@ services: - mysql + - docker + +sudo: required language: python # this works for Linux but is an error on macOS or Windows @@ -61,6 +64,10 @@ install: script: - bash tests/scripts/run_tests.sh + - docker build -t rapids . + +# after_success: +# need to push built image to appropriate repo in docker hub (to do: encrypt password) branches: only: diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 00000000..916d326d --- /dev/null +++ b/Dockerfile @@ -0,0 +1,43 @@ +# getting base image ubuntu +FROM ubuntu:20.04 +ENV DEBIAN_FRONTEND=noninteractive +RUN apt update && apt install -y \ + libcurl4-openssl-dev \ + libssl-dev \ + libxml2-dev \ + libmysqlclient-dev \ + mysql-server +RUN apt-get update && apt-get install -y gnupg +RUN apt-get update && apt-get install -y software-properties-common +RUN apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9 +RUN add-apt-repository 'deb https://cloud.r-project.org/bin/linux/ubuntu focal-cran40/' +RUN apt update && apt install -y r-base +RUN apt install -y pandoc +RUN apt install -y git +RUN apt-get update && apt-get install -y vim +ENV LANG=C.UTF-8 LC_ALL=C.UTF-8 +ENV PATH /opt/conda/bin:$PATH +RUN apt-get update --fix-missing && \ + apt-get install -y wget bzip2 ca-certificates curl git && \ + apt-get clean && \ + rm -rf /var/lib/apt/lists/* +RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh -O ~/miniconda.sh && \ + /bin/bash ~/miniconda.sh -b -p /opt/conda && \ + rm ~/miniconda.sh && \ + /opt/conda/bin/conda clean -tipsy && \ + ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \ + echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \ + echo "conda activate base" >> ~/.bashrc +ENV TINI_VERSION v0.16.1 +ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /usr/bin/tini +RUN chmod +x /usr/bin/tini +RUN git clone https://github.com/carissalow/rapids +ENTRYPOINT [ "/usr/bin/tini", "--" ] +CMD [ "/bin/bash" ] +RUN conda update -n base -c defaults conda +WORKDIR /rapids +RUN conda env create -f environment.yml -n rapids +RUN R -e 'renv::restore()' +COPY rapids_example.sql ./data/external +RUN echo "source activate rapids" > ~/.bashrc +ENV PATH /opt/conda/envs/rapids/bin:$PATH \ No newline at end of file From 31fefe724ba47b6ec6622b22294184eefc766511 Mon Sep 17 00:00:00 2001 From: JulioV Date: Fri, 21 Aug 2020 12:44:08 -0400 Subject: [PATCH 02/37] Update introduction.rst --- docs/usage/introduction.rst | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/usage/introduction.rst b/docs/usage/introduction.rst index bfe98b55..b14d8743 100644 --- a/docs/usage/introduction.rst +++ b/docs/usage/introduction.rst @@ -7,6 +7,8 @@ At the moment, mobile data can be collected using different sensing frameworks ( We recommend reading Snakemake_ docs, but the main idea behind the pipeline is that every link in the analysis chain is a rule with an input and an output. Input and output are files, which can be manipulated using any programming language (although Snakemake_ has wrappers for Julia_, Python_, and R_ that can make development slightly more comfortable). Snakemake_ also allows the pipeline rules to be executed in parallel on multiple cores without any code changes. This can drastically reduce the time needed to complete an analysis. +Do you want to keep up to date with new functionality or have a question? Join the #rapids channel in AWARE Framework's slack_ + Available features: - :ref:`accelerometer-sensor-doc` @@ -39,3 +41,4 @@ We are updating these docs constantly, but if you think something needs clarific .. _Fitbit: https://www.fitbit.com/us/home .. _Python: https://www.python.org/ .. _Julia: https://julialang.org/ +.. _slack: http://awareframework.com:3000/ From a480917b5230b2234e953b1684681d9fb01e2cd8 Mon Sep 17 00:00:00 2001 From: JulioV Date: Fri, 21 Aug 2020 12:51:34 -0400 Subject: [PATCH 03/37] Update index.rst --- docs/index.rst | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/docs/index.rst b/docs/index.rst index d3805bc9..e3040bed 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -8,6 +8,8 @@ RAPIDS **R**\ eproducible **A**\ nalysis **Pi**\ pline for **D**\ ata **S**\ treams +Do you want to keep up to date with new functionality or have a question? Join the #rapids channel in AWARE Framework's slack_ + Contents: .. toctree:: @@ -36,4 +38,6 @@ Contents: develop/environments develop/contributors develop/testing - develop/test_cases \ No newline at end of file + develop/test_cases + +.. _slack: http://awareframework.com:3000/ From 6a5470e338f22a22e64bf7697312174ddbca289b Mon Sep 17 00:00:00 2001 From: nikunjgoel95 Date: Sun, 23 Aug 2020 13:20:19 -0400 Subject: [PATCH 04/37] Splitting Energy Feature in Conversation to Voice and Noise. --- config.yaml | 5 ++- .../conversation/conversation_base.py | 41 +++++++++++++------ 2 files changed, 31 insertions(+), 15 deletions(-) diff --git a/config.yaml b/config.yaml index c40a2e02..a0cacb3d 100644 --- a/config.yaml +++ b/config.yaml @@ -199,8 +199,9 @@ CONVERSATION: IOS: plugin_studentlife_audio DAY_SEGMENTS: *day_segments FEATURES: ["minutessilence", "minutesnoise", "minutesvoice", "minutesunknown","sumconversationduration","avgconversationduration", - "sdconversationduration","minconversationduration","maxconversationduration","timefirstconversation","timelastconversation","sumenergy", - "avgenergy","sdenergy","minenergy","maxenergy","silencesensedfraction","noisesensedfraction", + "sdconversationduration","minconversationduration","maxconversationduration","timefirstconversation","timelastconversation","noisesumenergy", + "noiseavgenergy","noisesdenergy","noiseminenergy","noisemaxenergy","voicesumenergy", + "voiceavgenergy","voicesdenergy","voiceminenergy","voicemaxenergy","silencesensedfraction","noisesensedfraction", "voicesensedfraction","unknownsensedfraction","silenceexpectedfraction","noiseexpectedfraction","voiceexpectedfraction", "unknownexpectedfraction","countconversation"] RECORDINGMINUTES: 1 diff --git a/src/features/conversation/conversation_base.py b/src/features/conversation/conversation_base.py index eb00c64b..6c50919a 100644 --- a/src/features/conversation/conversation_base.py +++ b/src/features/conversation/conversation_base.py @@ -3,8 +3,9 @@ import pandas as pd def base_conversation_features(conversation_data, day_segment, requested_features,recordingMinutes,pausedMinutes,expectedMinutes): # name of the features this function can compute base_features_names = ["minutessilence", "minutesnoise", "minutesvoice", "minutesunknown","sumconversationduration","avgconversationduration", - "sdconversationduration","minconversationduration","maxconversationduration","timefirstconversation","timelastconversation","sumenergy", - "avgenergy","sdenergy","minenergy","maxenergy","silencesensedfraction","noisesensedfraction", + "sdconversationduration","minconversationduration","maxconversationduration","timefirstconversation","timelastconversation","noisesumenergy", + "noiseavgenergy","noisesdenergy","noiseminenergy","noisemaxenergy","voicesumenergy", + "voiceavgenergy","voicesdenergy","voiceminenergy","voicemaxenergy","silencesensedfraction","noisesensedfraction", "voicesensedfraction","unknownsensedfraction","silenceexpectedfraction","noiseexpectedfraction","voiceexpectedfraction", "unknownexpectedfraction","countconversation"] @@ -96,22 +97,36 @@ def base_conversation_features(conversation_data, day_segment, requested_feature else: conversation_features["conversation_" + day_segment + "_timelastconversation"] = 0 - if "sumenergy" in features_to_compute: - conversation_features["conversation_" + day_segment + "_sumenergy"] = conversation_data.groupby(["local_date"])["double_energy"].sum() + if "noisesumenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_noisesumenergy"] = conversation_data[conversation_data['inference']==1].groupby(["local_date"])["double_energy"].sum() - if "avgenergy" in features_to_compute: - conversation_features["conversation_" + day_segment + "_avgenergy"] = conversation_data.groupby(["local_date"])["double_energy"].mean() + if "noiseavgenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_noiseavgenergy"] = conversation_data[conversation_data['inference']==1].groupby(["local_date"])["double_energy"].mean() - if "sdenergy" in features_to_compute: - conversation_features["conversation_" + day_segment + "_sdenergy"] = conversation_data.groupby(["local_date"])["double_energy"].std() + if "noisesdenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_noisesdenergy"] = conversation_data[conversation_data['inference']==1].groupby(["local_date"])["double_energy"].std() - if "minenergy" in features_to_compute: - conversation_features["conversation_" + day_segment + "_minenergy"] = conversation_data.groupby(["local_date"])["double_energy"].min() + if "noiseminenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_noiseminenergy"] = conversation_data[conversation_data['inference']==1].groupby(["local_date"])["double_energy"].min() - if "maxenergy" in features_to_compute: - conversation_features["conversation_" + day_segment + "_maxenergy"] = conversation_data.groupby(["local_date"])["double_energy"].max() + if "noisemaxenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_noisemaxenergy"] = conversation_data[conversation_data['inference']==1].groupby(["local_date"])["double_energy"].max() + if "voicesumenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_voicesumenergy"] = conversation_data[conversation_data['inference']==2].groupby(["local_date"])["double_energy"].sum() + + if "voiceavgenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_voiceavgenergy"] = conversation_data[conversation_data['inference']==2].groupby(["local_date"])["double_energy"].mean() + + if "voicesdenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_voicesdenergy"] = conversation_data[conversation_data['inference']==2].groupby(["local_date"])["double_energy"].std() + + if "voiceminenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_voiceminenergy"] = conversation_data[conversation_data['inference']==2].groupby(["local_date"])["double_energy"].min() + + if "voicemaxenergy" in features_to_compute: + conversation_features["conversation_" + day_segment + "_voicemaxenergy"] = conversation_data[conversation_data['inference']==2].groupby(["local_date"])["double_energy"].max() conversation_features = conversation_features.reset_index() - + return conversation_features \ No newline at end of file From cbaf129494d98659d8c582845db46ab11db1a865 Mon Sep 17 00:00:00 2001 From: nikunjgoel95 Date: Sun, 23 Aug 2020 18:07:38 -0400 Subject: [PATCH 05/37] Updated docs for new Energy Split in Conversation Features. --- docs/features/extracted.rst | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/docs/features/extracted.rst b/docs/features/extracted.rst index 14f50b59..a99392f5 100644 --- a/docs/features/extracted.rst +++ b/docs/features/extracted.rst @@ -842,11 +842,16 @@ avgconversationduration minutes Average duration of all conversa sdconversationduration minutes Standard Deviation of the duration of all conversations timefirstconversation minutes Minutes since midnight when the first conversation for a day segment was detected timelastconversation minutes Minutes since midnight when the last conversation for a day segment was detected -sumenergy L2-norm Sum of all energy values -avgenergy L2-norm Average of all energy values -sdenergy L2-norm Standard Deviation of all energy values -minenergy L2-norm Minimum of all energy values -maxenergy L2-norm Maximum of all energy values +noisesumenergy L2-norm Sum of all energy values when inference is noise +noiseavgenergy L2-norm Average of all energy values when inference is noise +noisesdenergy L2-norm Standard Deviation of all energy values when inference is noise +noiseminenergy L2-norm Minimum of all energy values when inference is noise +noisemaxenergy L2-norm Maximum of all energy values when inference is noise +voicesumenergy L2-norm Sum of all energy values when inference is voice +voiceavgenergy L2-norm Average of all energy values when inference is voice +voicesdenergy L2-norm Standard Deviation of all energy values when inference is voice +voiceminenergy L2-norm Minimum of all energy values when inference is voice +voicemaxenergy L2-norm Maximum of all energy values when inference is voice silencesensedfraction Ratio between minutessilence and the sum of (minutessilence, minutesnoise, minutesvoice, minutesunknown) noisesensedfraction Ratio between minutesnoise and the sum of (minutessilence, minutesnoise, minutesvoice, minutesunknown) voicesensedfraction Ratio between minutesvoice and the sum of (minutessilence, minutesnoise, minutesvoice, minutesunknown) From 6cbd73c676918d4f22c3d19549f9197bc59cd517 Mon Sep 17 00:00:00 2001 From: Agam Date: Fri, 28 Aug 2020 15:33:44 -0400 Subject: [PATCH 06/37] update dockerfile - rmarkdown --- Dockerfile | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/Dockerfile b/Dockerfile index 916d326d..904bf988 100644 --- a/Dockerfile +++ b/Dockerfile @@ -17,10 +17,12 @@ RUN apt install -y git RUN apt-get update && apt-get install -y vim ENV LANG=C.UTF-8 LC_ALL=C.UTF-8 ENV PATH /opt/conda/bin:$PATH + RUN apt-get update --fix-missing && \ apt-get install -y wget bzip2 ca-certificates curl git && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* + RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh -O ~/miniconda.sh && \ /bin/bash ~/miniconda.sh -b -p /opt/conda && \ rm ~/miniconda.sh && \ @@ -28,6 +30,7 @@ RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.11-Linux-x86 ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \ echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \ echo "conda activate base" >> ~/.bashrc + ENV TINI_VERSION v0.16.1 ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /usr/bin/tini RUN chmod +x /usr/bin/tini @@ -37,6 +40,7 @@ CMD [ "/bin/bash" ] RUN conda update -n base -c defaults conda WORKDIR /rapids RUN conda env create -f environment.yml -n rapids +RUN Rscript --vanilla -e 'install.packages("rmarkdown", repos="http://cran.us.r-project.org")' RUN R -e 'renv::restore()' COPY rapids_example.sql ./data/external RUN echo "source activate rapids" > ~/.bashrc From 148301d468ae81de43d9b66a75126e3a071bc514 Mon Sep 17 00:00:00 2001 From: kaguillera Date: Fri, 28 Aug 2020 18:28:00 -0400 Subject: [PATCH 07/37] Testing, test docs and bugfixes for conversation --- docs/develop/test_cases.rst | 2 +- .../conversation/conversation_base.py | 2 +- src/features/conversation_features.py | 1 + .../test01/conversation_afternoon.csv | 5 +- .../processed/test01/conversation_daily.csv | 5 +- .../processed/test01/conversation_evening.csv | 5 +- .../processed/test01/conversation_morning.csv | 5 +- .../processed/test01/conversation_night.csv | 5 +- .../test02/conversation_afternoon.csv | 5 +- .../processed/test02/conversation_daily.csv | 5 +- .../processed/test02/conversation_evening.csv | 5 +- .../processed/test02/conversation_morning.csv | 5 +- .../processed/test02/conversation_night.csv | 5 +- .../test03/conversation_afternoon.csv | 2 +- .../processed/test03/conversation_daily.csv | 2 +- .../processed/test03/conversation_evening.csv | 2 +- .../processed/test03/conversation_morning.csv | 2 +- .../processed/test03/conversation_night.csv | 2 +- .../test04/conversation_afternoon.csv | 2 +- .../processed/test04/conversation_daily.csv | 2 +- .../processed/test04/conversation_evening.csv | 2 +- .../processed/test04/conversation_morning.csv | 2 +- .../processed/test04/conversation_night.csv | 2 +- .../plugin_studentlife_audio_android_raw.csv | 3146 +++- .../test02/plugin_studentlife_audio_raw.csv | 11942 ++++++++++------ tests/settings/testing_config.yaml | 10 +- 26 files changed, 10736 insertions(+), 4437 deletions(-) diff --git a/docs/develop/test_cases.rst b/docs/develop/test_cases.rst index b2651754..593fdbbb 100644 --- a/docs/develop/test_cases.rst +++ b/docs/develop/test_cases.rst @@ -100,7 +100,7 @@ Activity Recognition Conversation """"""""""""" - - The raw conversation data file contains data for 1 day. + - The raw conversation data file contains data for 2 day. - The raw conversation data contains records with a sample of both ``datatypes`` (i.e. ``voice/noise`` = ``0``, and ``conversation`` = ``2`` ) as well as rows with for samples of each of the ``inference`` values (i.e. ``silence`` = ``0``, ``noise`` = ``1``, ``voice`` = ``2``, and ``unknown`` = ``3``) for each ``epoch``. The different ``datatype`` and ``inference`` records are randomly distributed throughout the ``epoch``. - Additionally there are 2 - 5 records for conversations (``datatype`` = 2, and ``inference`` = -1) in each ``epoch`` and for each ``epoch`` except night, there is a conversation record that has a ``double_convo_start`` ``timestamp`` that is from the previous ``epoch``. This is to test the calculations of features across ``epochs``. - There is a raw conversation data file for both android and iOS platforms (``plugin_studentlife_audio_android_raw.csv`` and ``plugin_studentlife_audio_raw.csv`` respectively). diff --git a/src/features/conversation/conversation_base.py b/src/features/conversation/conversation_base.py index 6c50919a..578024ca 100644 --- a/src/features/conversation/conversation_base.py +++ b/src/features/conversation/conversation_base.py @@ -20,7 +20,7 @@ def base_conversation_features(conversation_data, day_segment, requested_feature if not conversation_data.empty: conversation_features = pd.DataFrame() - conversation_data = conversation_data.drop_duplicates(subset="local_time", keep="first") + conversation_data = conversation_data.drop_duplicates(subset=['local_date','local_time'], keep="first") if "minutessilence" in features_to_compute: conversation_features["conversation_" + day_segment + "_minutessilence"] = conversation_data[conversation_data['inference']==0].groupby(["local_date"])['inference'].count()/60 diff --git a/src/features/conversation_features.py b/src/features/conversation_features.py index 3b0f6b29..4b15a38a 100644 --- a/src/features/conversation_features.py +++ b/src/features/conversation_features.py @@ -9,6 +9,7 @@ pausedMinutes = snakemake.params["pausedMinutes"] expectedMinutes = 1440 / (recordingMinutes + pausedMinutes) conversation_features = pd.DataFrame(columns=["local_date"]) + conversation_features = conversation_features.merge(base_conversation_features(conversation_data, day_segment, requested_features,recordingMinutes,pausedMinutes,expectedMinutes), on="local_date", how="outer") assert len(requested_features) + 1 == conversation_features.shape[1], "The number of features in the output dataframe (=" + str(conversation_features.shape[1]) + ") does not match the expected value (=" + str(len(requested_features)) + " + 1). Verify your conversation feature extraction functions" diff --git a/tests/data/processed/test01/conversation_afternoon.csv b/tests/data/processed/test01/conversation_afternoon.csv index a796d4f5..e35713fb 100644 --- a/tests/data/processed/test01/conversation_afternoon.csv +++ b/tests/data/processed/test01/conversation_afternoon.csv @@ -1,2 +1,3 @@ -local_date,conversation_afternoon_minutessilence,conversation_afternoon_minutesnoise,conversation_afternoon_minutesvoice,conversation_afternoon_minutesunknown,conversation_afternoon_countconversation,conversation_afternoon_silencesensedfraction,conversation_afternoon_noisesensedfraction,conversation_afternoon_voicesensedfraction,conversation_afternoon_unknownsensedfraction,conversation_afternoon_silenceexpectedfraction,conversation_afternoon_noiseexpectedfraction,conversation_afternoon_voiceexpectedfraction,conversation_afternoon_unknownexpectedfraction,conversation_afternoon_sumconversationduration,conversation_afternoon_avgconversationduration,conversation_afternoon_sdconversationduration,conversation_afternoon_minconversationduration,conversation_afternoon_maxconversationduration,conversation_afternoon_timefirstconversation,conversation_afternoon_timelastconversation,conversation_afternoon_sumenergy,conversation_afternoon_avgenergy,conversation_afternoon_sdenergy,conversation_afternoon_minenergy,conversation_afternoon_maxenergy -2020-07-07,2.1333333333333333,27.416666666666668,8.266666666666667,1.8,5,0.05384938998737905,0.692048801009676,0.20866638620109385,0.045435422801851075,0.005925925925925926,0.07615740740740741,0.022962962962962966,0.005,12.437950003147126,2.4875900006294254,0.8690951001495368,1.780666669209798,3.9693833351135255,733.0,1038.0,11674618,4901.183039462637,3520.8178232562536,0,11997 +local_date,conversation_afternoon_minutessilence,conversation_afternoon_minutesnoise,conversation_afternoon_minutesvoice,conversation_afternoon_minutesunknown,conversation_afternoon_countconversation,conversation_afternoon_silencesensedfraction,conversation_afternoon_noisesensedfraction,conversation_afternoon_voicesensedfraction,conversation_afternoon_unknownsensedfraction,conversation_afternoon_silenceexpectedfraction,conversation_afternoon_noiseexpectedfraction,conversation_afternoon_voiceexpectedfraction,conversation_afternoon_unknownexpectedfraction,conversation_afternoon_sumconversationduration,conversation_afternoon_avgconversationduration,conversation_afternoon_sdconversationduration,conversation_afternoon_minconversationduration,conversation_afternoon_maxconversationduration,conversation_afternoon_timefirstconversation,conversation_afternoon_timelastconversation,conversation_afternoon_noisesumenergy,conversation_afternoon_noiseavgenergy,conversation_afternoon_noisesdenergy,conversation_afternoon_noiseminenergy,conversation_afternoon_noisemaxenergy,conversation_afternoon_voicesumenergy,conversation_afternoon_voiceavgenergy,conversation_afternoon_voicesdenergy,conversation_afternoon_voiceminenergy,conversation_afternoon_voicemaxenergy +2020-07-07,2.1333333333333333,27.416666666666668,8.266666666666667,1.8,5,0.05384938998737905,0.692048801009676,0.20866638620109385,0.045435422801851075,0.005925925925925926,0.07615740740740741,0.022962962962962966,0.005,12.437950003147126,2.4875900006294254,0.8690951001495368,1.780666669209798,3.9693833351135255,733.0,1038.0,9942436,6044.034042553191,3481.1514888929237,15,11997,1506807,3037.9173387096776,1754.9205154010617,5,5998 +2020-07-08,0.65,8.883333333333333,2.433333333333333,0.6166666666666667,3,0.051655629139072845,0.7059602649006622,0.1933774834437086,0.04900662251655629,0.0018055555555555557,0.024675925925925924,0.006759259259259258,0.001712962962962963,10.930666665236155,3.643555555078718,2.8616790499886138,0.34016666412353513,5.365416669845581,725.0,1079.0,3300159,6191.667917448405,3457.367505499712,32,11994,434210,2974.041095890411,1728.009925245731,26,5965 diff --git a/tests/data/processed/test01/conversation_daily.csv b/tests/data/processed/test01/conversation_daily.csv index f1299d13..c8ffccfb 100644 --- a/tests/data/processed/test01/conversation_daily.csv +++ b/tests/data/processed/test01/conversation_daily.csv @@ -1,2 +1,3 @@ -local_date,conversation_daily_minutessilence,conversation_daily_minutesnoise,conversation_daily_minutesvoice,conversation_daily_minutesunknown,conversation_daily_countconversation,conversation_daily_silencesensedfraction,conversation_daily_noisesensedfraction,conversation_daily_voicesensedfraction,conversation_daily_unknownsensedfraction,conversation_daily_silenceexpectedfraction,conversation_daily_noiseexpectedfraction,conversation_daily_voiceexpectedfraction,conversation_daily_unknownexpectedfraction,conversation_daily_sumconversationduration,conversation_daily_avgconversationduration,conversation_daily_sdconversationduration,conversation_daily_minconversationduration,conversation_daily_maxconversationduration,conversation_daily_timefirstconversation,conversation_daily_timelastconversation,conversation_daily_sumenergy,conversation_daily_avgenergy,conversation_daily_sdenergy,conversation_daily_minenergy,conversation_daily_maxenergy -2020-07-07,3.7,50.63333333333333,15.066666666666666,3.683333333333333,14,0.05062713797035348,0.6928164196123148,0.206157354618016,0.05039908779931585,0.010277777777777778,0.14064814814814813,0.04185185185185185,0.01023148148148148,32.67243332862854,2.3337452377591816,2.374837824698354,0.7180166641871134,10.046433333555857,73.0,1436.0,21622427,4915.305069333939,3516.4999695807187,0,11997 +local_date,conversation_daily_minutessilence,conversation_daily_minutesnoise,conversation_daily_minutesvoice,conversation_daily_minutesunknown,conversation_daily_countconversation,conversation_daily_silencesensedfraction,conversation_daily_noisesensedfraction,conversation_daily_voicesensedfraction,conversation_daily_unknownsensedfraction,conversation_daily_silenceexpectedfraction,conversation_daily_noiseexpectedfraction,conversation_daily_voiceexpectedfraction,conversation_daily_unknownexpectedfraction,conversation_daily_sumconversationduration,conversation_daily_avgconversationduration,conversation_daily_sdconversationduration,conversation_daily_minconversationduration,conversation_daily_maxconversationduration,conversation_daily_timefirstconversation,conversation_daily_timelastconversation,conversation_daily_noisesumenergy,conversation_daily_noiseavgenergy,conversation_daily_noisesdenergy,conversation_daily_noiseminenergy,conversation_daily_noisemaxenergy,conversation_daily_voicesumenergy,conversation_daily_voiceavgenergy,conversation_daily_voicesdenergy,conversation_daily_voiceminenergy,conversation_daily_voicemaxenergy +2020-07-07,3.7,50.63333333333333,15.066666666666666,3.683333333333333,14,0.05062713797035348,0.6928164196123148,0.206157354618016,0.05039908779931585,0.010277777777777778,0.14064814814814813,0.04185185185185185,0.01023148148148148,32.67243332862854,2.3337452377591816,2.374837824698354,0.7180166641871134,10.046433333555857,73.0,1436.0,18439355,6069.570441079658,3468.929368777422,13,11997,2734745,3025.1603982300885,1740.005342891663,5,5998 +2020-07-08,2.65,35.68333333333333,9.35,2.55,9,0.052753815527538155,0.7103516921035169,0.18613138686131386,0.05076310550763105,0.007361111111111111,0.09912037037037036,0.025972222222222223,0.007083333333333333,34.320483330885565,3.8133870367650626,4.319944870646438,0.2900833328564962,14.262033331394196,77.0,1079.0,12899840,6025.147127510509,3479.798678961238,21,11994,1772024,3158.688057040998,1734.437004379429,15,5983 diff --git a/tests/data/processed/test01/conversation_evening.csv b/tests/data/processed/test01/conversation_evening.csv index f864ecda..79256ecf 100644 --- a/tests/data/processed/test01/conversation_evening.csv +++ b/tests/data/processed/test01/conversation_evening.csv @@ -1,2 +1,3 @@ -local_date,conversation_evening_minutessilence,conversation_evening_minutesnoise,conversation_evening_minutesvoice,conversation_evening_minutesunknown,conversation_evening_countconversation,conversation_evening_silencesensedfraction,conversation_evening_noisesensedfraction,conversation_evening_voicesensedfraction,conversation_evening_unknownsensedfraction,conversation_evening_silenceexpectedfraction,conversation_evening_noiseexpectedfraction,conversation_evening_voiceexpectedfraction,conversation_evening_unknownexpectedfraction,conversation_evening_sumconversationduration,conversation_evening_avgconversationduration,conversation_evening_sdconversationduration,conversation_evening_minconversationduration,conversation_evening_maxconversationduration,conversation_evening_timefirstconversation,conversation_evening_timelastconversation,conversation_evening_sumenergy,conversation_evening_avgenergy,conversation_evening_sdenergy,conversation_evening_minenergy,conversation_evening_maxenergy -2020-07-07,0.36666666666666664,4.65,1.5166666666666666,0.4166666666666667,3,0.05275779376498801,0.6690647482014389,0.21822541966426856,0.05995203836930456,0.0010185185185185184,0.012916666666666668,0.004212962962962963,0.0011574074074074076,4.880700000127156,1.6269000000423854,0.44788788134076357,1.3510499993960063,2.1436833341916404,1204.0,1436.0,1989527,4736.969047619048,3421.199118663052,0,11997 +local_date,conversation_evening_minutessilence,conversation_evening_minutesnoise,conversation_evening_minutesvoice,conversation_evening_minutesunknown,conversation_evening_countconversation,conversation_evening_silencesensedfraction,conversation_evening_noisesensedfraction,conversation_evening_voicesensedfraction,conversation_evening_unknownsensedfraction,conversation_evening_silenceexpectedfraction,conversation_evening_noiseexpectedfraction,conversation_evening_voiceexpectedfraction,conversation_evening_unknownexpectedfraction,conversation_evening_sumconversationduration,conversation_evening_avgconversationduration,conversation_evening_sdconversationduration,conversation_evening_minconversationduration,conversation_evening_maxconversationduration,conversation_evening_timefirstconversation,conversation_evening_timelastconversation,conversation_evening_noisesumenergy,conversation_evening_noiseavgenergy,conversation_evening_noisesdenergy,conversation_evening_noiseminenergy,conversation_evening_noisemaxenergy,conversation_evening_voicesumenergy,conversation_evening_voiceavgenergy,conversation_evening_voicesdenergy,conversation_evening_voiceminenergy,conversation_evening_voicemaxenergy +2020-07-07,0.36666666666666664,4.65,1.5166666666666666,0.4166666666666667,3.0,0.05275779376498801,0.6690647482014389,0.21822541966426856,0.05995203836930456,0.0010185185185185184,0.012916666666666668,0.004212962962962963,0.0011574074074074076,4.880700000127156,1.6269000000423854,0.44788788134076357,1.3510499993960063,2.1436833341916404,1204.0,1436.0,1653662,5927.103942652329,3410.0136025729585,117,11997,288277,3167.879120879121,1716.9777377393546,116,5961 +2020-07-08,0.1,2.1,0.7166666666666667,0.06666666666666667,,0.0335195530726257,0.7039106145251397,0.24022346368715083,0.0223463687150838,0.0002777777777777778,0.005833333333333334,0.001990740740740741,0.00018518518518518518,0.0,,,,0.0,,,737899,5856.341269841269,3586.7682415516033,65,11872,138265,3215.4651162790697,1685.612271816093,344,5791 diff --git a/tests/data/processed/test01/conversation_morning.csv b/tests/data/processed/test01/conversation_morning.csv index cac19c3f..c08b3ca7 100644 --- a/tests/data/processed/test01/conversation_morning.csv +++ b/tests/data/processed/test01/conversation_morning.csv @@ -1,2 +1,3 @@ -local_date,conversation_morning_minutessilence,conversation_morning_minutesnoise,conversation_morning_minutesvoice,conversation_morning_minutesunknown,conversation_morning_countconversation,conversation_morning_silencesensedfraction,conversation_morning_noisesensedfraction,conversation_morning_voicesensedfraction,conversation_morning_unknownsensedfraction,conversation_morning_silenceexpectedfraction,conversation_morning_noiseexpectedfraction,conversation_morning_voiceexpectedfraction,conversation_morning_unknownexpectedfraction,conversation_morning_sumconversationduration,conversation_morning_avgconversationduration,conversation_morning_sdconversationduration,conversation_morning_minconversationduration,conversation_morning_maxconversationduration,conversation_morning_timefirstconversation,conversation_morning_timelastconversation,conversation_morning_sumenergy,conversation_morning_avgenergy,conversation_morning_sdenergy,conversation_morning_minenergy,conversation_morning_maxenergy -2020-07-07,0.5,8.266666666666667,2.433333333333333,0.65,4,0.04219409282700422,0.6976090014064699,0.20534458509142053,0.05485232067510549,0.001388888888888889,0.022962962962962966,0.006759259259259258,0.0018055555555555557,4.589333327611287,1.1473333319028218,0.42892803694050957,0.749316664536794,1.6650999983151753,392.0,656.0,3535623,4944.927272727273,3443.3314096066924,0,11985 +local_date,conversation_morning_minutessilence,conversation_morning_minutesnoise,conversation_morning_minutesvoice,conversation_morning_minutesunknown,conversation_morning_countconversation,conversation_morning_silencesensedfraction,conversation_morning_noisesensedfraction,conversation_morning_voicesensedfraction,conversation_morning_unknownsensedfraction,conversation_morning_silenceexpectedfraction,conversation_morning_noiseexpectedfraction,conversation_morning_voiceexpectedfraction,conversation_morning_unknownexpectedfraction,conversation_morning_sumconversationduration,conversation_morning_avgconversationduration,conversation_morning_sdconversationduration,conversation_morning_minconversationduration,conversation_morning_maxconversationduration,conversation_morning_timefirstconversation,conversation_morning_timelastconversation,conversation_morning_noisesumenergy,conversation_morning_noiseavgenergy,conversation_morning_noisesdenergy,conversation_morning_noiseminenergy,conversation_morning_noisemaxenergy,conversation_morning_voicesumenergy,conversation_morning_voiceavgenergy,conversation_morning_voicesdenergy,conversation_morning_voiceminenergy,conversation_morning_voicemaxenergy +2020-07-07,0.5,8.266666666666667,2.433333333333333,0.65,4,0.04219409282700422,0.6976090014064699,0.20534458509142053,0.05485232067510549,0.001388888888888889,0.022962962962962966,0.006759259259259258,0.0018055555555555557,4.589333327611287,1.1473333319028218,0.42892803694050957,0.749316664536794,1.6650999983151753,392.0,656.0,3018217,6085.114919354839,3372.11073498322,13,11985,439819,3012.458904109589,1708.9791513294683,18,5974 +2020-07-08,0.8166666666666667,8.966666666666667,2.4833333333333334,0.5666666666666667,3,0.06363636363636363,0.6987012987012987,0.19350649350649352,0.04415584415584415,0.0022685185185185187,0.02490740740740741,0.006898148148148148,0.001574074074074074,5.447933332125346,1.8159777773751153,1.3228078214374743,0.2900833328564962,2.638549999396006,481.0,719.0,3328403,6186.622676579926,3507.2428114622626,21,11986,484712,3253.1006711409395,1731.8302018110644,39,5972 diff --git a/tests/data/processed/test01/conversation_night.csv b/tests/data/processed/test01/conversation_night.csv index 876fb780..a0cb8334 100644 --- a/tests/data/processed/test01/conversation_night.csv +++ b/tests/data/processed/test01/conversation_night.csv @@ -1,2 +1,3 @@ -local_date,conversation_night_minutessilence,conversation_night_minutesnoise,conversation_night_minutesvoice,conversation_night_minutesunknown,conversation_night_countconversation,conversation_night_silencesensedfraction,conversation_night_noisesensedfraction,conversation_night_voicesensedfraction,conversation_night_unknownsensedfraction,conversation_night_silenceexpectedfraction,conversation_night_noiseexpectedfraction,conversation_night_voiceexpectedfraction,conversation_night_unknownexpectedfraction,conversation_night_sumconversationduration,conversation_night_avgconversationduration,conversation_night_sdconversationduration,conversation_night_minconversationduration,conversation_night_maxconversationduration,conversation_night_timefirstconversation,conversation_night_timelastconversation,conversation_night_sumenergy,conversation_night_avgenergy,conversation_night_sdenergy,conversation_night_minenergy,conversation_night_maxenergy -2020-07-07,0.7,10.3,2.85,0.8166666666666667,2,0.04772727272727273,0.7022727272727274,0.19431818181818183,0.055681818181818186,0.0019444444444444444,0.02861111111111111,0.007916666666666667,0.0022685185185185187,10.76444999774297,5.382224998871485,6.596186684644267,0.7180166641871134,10.046433333555857,73.0,359.0,4422659,5014.35260770975,3609.249684373919,0,11976 +local_date,conversation_night_minutessilence,conversation_night_minutesnoise,conversation_night_minutesvoice,conversation_night_minutesunknown,conversation_night_countconversation,conversation_night_silencesensedfraction,conversation_night_noisesensedfraction,conversation_night_voicesensedfraction,conversation_night_unknownsensedfraction,conversation_night_silenceexpectedfraction,conversation_night_noiseexpectedfraction,conversation_night_voiceexpectedfraction,conversation_night_unknownexpectedfraction,conversation_night_sumconversationduration,conversation_night_avgconversationduration,conversation_night_sdconversationduration,conversation_night_minconversationduration,conversation_night_maxconversationduration,conversation_night_timefirstconversation,conversation_night_timelastconversation,conversation_night_noisesumenergy,conversation_night_noiseavgenergy,conversation_night_noisesdenergy,conversation_night_noiseminenergy,conversation_night_noisemaxenergy,conversation_night_voicesumenergy,conversation_night_voiceavgenergy,conversation_night_voicesdenergy,conversation_night_voiceminenergy,conversation_night_voicemaxenergy +2020-07-07,0.7,10.3,2.85,0.8166666666666667,2,0.04772727272727273,0.7022727272727274,0.19431818181818183,0.055681818181818186,0.0019444444444444444,0.02861111111111111,0.007916666666666667,0.0022685185185185187,10.76444999774297,5.382224998871485,6.596186684644267,0.7180166641871134,10.046433333555857,73.0,359.0,3825040,6189.385113268609,3543.1815292214824,31,11976,499842,2923.0526315789475,1743.7537375482877,54,5982 +2020-07-08,1.0833333333333333,15.733333333333333,3.716666666666667,1.3,3,0.04961832061068702,0.7206106870229008,0.1702290076335878,0.05954198473282443,0.0030092592592592593,0.0437037037037037,0.010324074074074074,0.0036111111111111114,17.941883333524068,5.980627777841356,7.185787281636153,1.3935166676839192,14.262033331394196,77.0,359.0,5533379,5861.630296610169,3459.015959830812,49,11981,714837,3205.547085201794,1752.0956065993914,15,5983 diff --git a/tests/data/processed/test02/conversation_afternoon.csv b/tests/data/processed/test02/conversation_afternoon.csv index 28665973..aabc359e 100644 --- a/tests/data/processed/test02/conversation_afternoon.csv +++ b/tests/data/processed/test02/conversation_afternoon.csv @@ -1,2 +1,3 @@ -local_date,conversation_afternoon_minutessilence,conversation_afternoon_minutesnoise,conversation_afternoon_minutesvoice,conversation_afternoon_minutesunknown,conversation_afternoon_countconversation,conversation_afternoon_silencesensedfraction,conversation_afternoon_noisesensedfraction,conversation_afternoon_voicesensedfraction,conversation_afternoon_unknownsensedfraction,conversation_afternoon_silenceexpectedfraction,conversation_afternoon_noiseexpectedfraction,conversation_afternoon_voiceexpectedfraction,conversation_afternoon_unknownexpectedfraction,conversation_afternoon_sumconversationduration,conversation_afternoon_avgconversationduration,conversation_afternoon_sdconversationduration,conversation_afternoon_minconversationduration,conversation_afternoon_maxconversationduration,conversation_afternoon_timefirstconversation,conversation_afternoon_timelastconversation,conversation_afternoon_sumenergy,conversation_afternoon_avgenergy,conversation_afternoon_sdenergy,conversation_afternoon_minenergy,conversation_afternoon_maxenergy -2020-07-07,2.1333333333333333,27.416666666666668,8.266666666666667,1.8,5,0.05384938998737905,0.692048801009676,0.20866638620109385,0.045435422801851075,0.005925925925925926,0.07615740740740741,0.022962962962962966,0.005,12.416666666666668,2.4833333333333334,0.8701053576052348,1.7833333333333334,3.966666666666667,733.0,1038.0,11674618,4901.183039462637,3520.8178232562536,0,11997 +local_date,conversation_afternoon_minutessilence,conversation_afternoon_minutesnoise,conversation_afternoon_minutesvoice,conversation_afternoon_minutesunknown,conversation_afternoon_countconversation,conversation_afternoon_silencesensedfraction,conversation_afternoon_noisesensedfraction,conversation_afternoon_voicesensedfraction,conversation_afternoon_unknownsensedfraction,conversation_afternoon_silenceexpectedfraction,conversation_afternoon_noiseexpectedfraction,conversation_afternoon_voiceexpectedfraction,conversation_afternoon_unknownexpectedfraction,conversation_afternoon_sumconversationduration,conversation_afternoon_avgconversationduration,conversation_afternoon_sdconversationduration,conversation_afternoon_minconversationduration,conversation_afternoon_maxconversationduration,conversation_afternoon_timefirstconversation,conversation_afternoon_timelastconversation,conversation_afternoon_noisesumenergy,conversation_afternoon_noiseavgenergy,conversation_afternoon_noisesdenergy,conversation_afternoon_noiseminenergy,conversation_afternoon_noisemaxenergy,conversation_afternoon_voicesumenergy,conversation_afternoon_voiceavgenergy,conversation_afternoon_voicesdenergy,conversation_afternoon_voiceminenergy,conversation_afternoon_voicemaxenergy +2020-07-07,2.1333333333333333,27.416666666666668,8.266666666666667,1.8,5,0.05384938998737905,0.692048801009676,0.20866638620109385,0.045435422801851075,0.005925925925925926,0.07615740740740741,0.022962962962962966,0.005,12.416666666666668,2.4833333333333334,0.8701053576052348,1.7833333333333334,3.966666666666667,733.0,1038.0,9942436,6044.034042553191,3481.1514888929237,15,11997,1506807,3037.9173387096776,1754.9205154010617,5,5998 +2020-07-08,0.65,8.883333333333333,2.433333333333333,0.6166666666666667,3,0.051655629139072845,0.7059602649006622,0.1933774834437086,0.04900662251655629,0.0018055555555555557,0.024675925925925924,0.006759259259259258,0.001712962962962963,10.95,3.65,2.858661302855664,0.35,5.366666666666666,725.0,1079.0,3300159,6191.667917448405,3457.367505499712,32,11994,434210,2974.041095890411,1728.009925245731,26,5965 diff --git a/tests/data/processed/test02/conversation_daily.csv b/tests/data/processed/test02/conversation_daily.csv index 0185f3bd..aa1ddb97 100644 --- a/tests/data/processed/test02/conversation_daily.csv +++ b/tests/data/processed/test02/conversation_daily.csv @@ -1,2 +1,3 @@ -local_date,conversation_daily_minutessilence,conversation_daily_minutesnoise,conversation_daily_minutesvoice,conversation_daily_minutesunknown,conversation_daily_countconversation,conversation_daily_silencesensedfraction,conversation_daily_noisesensedfraction,conversation_daily_voicesensedfraction,conversation_daily_unknownsensedfraction,conversation_daily_silenceexpectedfraction,conversation_daily_noiseexpectedfraction,conversation_daily_voiceexpectedfraction,conversation_daily_unknownexpectedfraction,conversation_daily_sumconversationduration,conversation_daily_avgconversationduration,conversation_daily_sdconversationduration,conversation_daily_minconversationduration,conversation_daily_maxconversationduration,conversation_daily_timefirstconversation,conversation_daily_timelastconversation,conversation_daily_sumenergy,conversation_daily_avgenergy,conversation_daily_sdenergy,conversation_daily_minenergy,conversation_daily_maxenergy -2020-07-07,3.7,50.63333333333333,15.066666666666666,3.683333333333333,14,0.05062713797035348,0.6928164196123148,0.206157354618016,0.05039908779931585,0.010277777777777778,0.14064814814814813,0.04185185185185185,0.01023148148148148,32.666666666666664,2.333333333333333,2.375453173139344,0.7166666666666667,10.05,73.0,1436.0,21622427,4915.305069333939,3516.4999695807187,0,11997 +local_date,conversation_daily_minutessilence,conversation_daily_minutesnoise,conversation_daily_minutesvoice,conversation_daily_minutesunknown,conversation_daily_countconversation,conversation_daily_silencesensedfraction,conversation_daily_noisesensedfraction,conversation_daily_voicesensedfraction,conversation_daily_unknownsensedfraction,conversation_daily_silenceexpectedfraction,conversation_daily_noiseexpectedfraction,conversation_daily_voiceexpectedfraction,conversation_daily_unknownexpectedfraction,conversation_daily_sumconversationduration,conversation_daily_avgconversationduration,conversation_daily_sdconversationduration,conversation_daily_minconversationduration,conversation_daily_maxconversationduration,conversation_daily_timefirstconversation,conversation_daily_timelastconversation,conversation_daily_noisesumenergy,conversation_daily_noiseavgenergy,conversation_daily_noisesdenergy,conversation_daily_noiseminenergy,conversation_daily_noisemaxenergy,conversation_daily_voicesumenergy,conversation_daily_voiceavgenergy,conversation_daily_voicesdenergy,conversation_daily_voiceminenergy,conversation_daily_voicemaxenergy +2020-07-07,3.7,50.63333333333333,15.066666666666666,3.683333333333333,14,0.05062713797035348,0.6928164196123148,0.206157354618016,0.05039908779931585,0.010277777777777778,0.14064814814814813,0.04185185185185185,0.01023148148148148,32.666666666666664,2.333333333333333,2.375453173139344,0.7166666666666667,10.05,73.0,1436.0,18439355,6069.570441079658,3468.929368777422,13,11997,2734745,3025.1603982300885,1740.005342891663,5,5998 +2020-07-08,2.65,35.68333333333333,9.35,2.55,10,0.052753815527538155,0.7103516921035169,0.18613138686131386,0.05076310550763105,0.007361111111111111,0.09912037037037036,0.025972222222222223,0.007083333333333333,35.95,3.595,4.133124621373335,0.2833333333333333,14.266666666666667,77.0,1198.0,12899840,6025.147127510509,3479.798678961238,21,11994,1772024,3158.688057040998,1734.437004379429,15,5983 diff --git a/tests/data/processed/test02/conversation_evening.csv b/tests/data/processed/test02/conversation_evening.csv index adc0d1cd..3272910b 100644 --- a/tests/data/processed/test02/conversation_evening.csv +++ b/tests/data/processed/test02/conversation_evening.csv @@ -1,2 +1,3 @@ -local_date,conversation_evening_minutessilence,conversation_evening_minutesnoise,conversation_evening_minutesvoice,conversation_evening_minutesunknown,conversation_evening_countconversation,conversation_evening_silencesensedfraction,conversation_evening_noisesensedfraction,conversation_evening_voicesensedfraction,conversation_evening_unknownsensedfraction,conversation_evening_silenceexpectedfraction,conversation_evening_noiseexpectedfraction,conversation_evening_voiceexpectedfraction,conversation_evening_unknownexpectedfraction,conversation_evening_sumconversationduration,conversation_evening_avgconversationduration,conversation_evening_sdconversationduration,conversation_evening_minconversationduration,conversation_evening_maxconversationduration,conversation_evening_timefirstconversation,conversation_evening_timelastconversation,conversation_evening_sumenergy,conversation_evening_avgenergy,conversation_evening_sdenergy,conversation_evening_minenergy,conversation_evening_maxenergy -2020-07-07,0.36666666666666664,4.65,1.5166666666666666,0.4166666666666667,3,0.05275779376498801,0.6690647482014389,0.21822541966426856,0.05995203836930456,0.0010185185185185184,0.012916666666666668,0.004212962962962963,0.0011574074074074076,4.883333333333333,1.6277777777777775,0.4525647078759177,1.35,2.15,1204.0,1436.0,1989527,4736.969047619048,3421.199118663052,0,11997 +local_date,conversation_evening_minutessilence,conversation_evening_minutesnoise,conversation_evening_minutesvoice,conversation_evening_minutesunknown,conversation_evening_countconversation,conversation_evening_silencesensedfraction,conversation_evening_noisesensedfraction,conversation_evening_voicesensedfraction,conversation_evening_unknownsensedfraction,conversation_evening_silenceexpectedfraction,conversation_evening_noiseexpectedfraction,conversation_evening_voiceexpectedfraction,conversation_evening_unknownexpectedfraction,conversation_evening_sumconversationduration,conversation_evening_avgconversationduration,conversation_evening_sdconversationduration,conversation_evening_minconversationduration,conversation_evening_maxconversationduration,conversation_evening_timefirstconversation,conversation_evening_timelastconversation,conversation_evening_noisesumenergy,conversation_evening_noiseavgenergy,conversation_evening_noisesdenergy,conversation_evening_noiseminenergy,conversation_evening_noisemaxenergy,conversation_evening_voicesumenergy,conversation_evening_voiceavgenergy,conversation_evening_voicesdenergy,conversation_evening_voiceminenergy,conversation_evening_voicemaxenergy +2020-07-07,0.36666666666666664,4.65,1.5166666666666666,0.4166666666666667,3,0.05275779376498801,0.6690647482014389,0.21822541966426856,0.05995203836930456,0.0010185185185185184,0.012916666666666668,0.004212962962962963,0.0011574074074074076,4.883333333333333,1.6277777777777775,0.4525647078759177,1.35,2.15,1204.0,1436.0,1653662,5927.103942652329,3410.0136025729585,117,11997,288277,3167.879120879121,1716.9777377393546,116,5961 +2020-07-08,0.1,2.1,0.7166666666666667,0.06666666666666667,1,0.0335195530726257,0.7039106145251397,0.24022346368715083,0.0223463687150838,0.0002777777777777778,0.005833333333333334,0.001990740740740741,0.00018518518518518518,1.6166666666666667,1.6166666666666667,,1.6166666666666667,1.6166666666666667,1198.0,1198.0,737899,5856.341269841269,3586.7682415516033,65,11872,138265,3215.4651162790697,1685.612271816093,344,5791 diff --git a/tests/data/processed/test02/conversation_morning.csv b/tests/data/processed/test02/conversation_morning.csv index 35575bc3..fde02072 100644 --- a/tests/data/processed/test02/conversation_morning.csv +++ b/tests/data/processed/test02/conversation_morning.csv @@ -1,2 +1,3 @@ -local_date,conversation_morning_minutessilence,conversation_morning_minutesnoise,conversation_morning_minutesvoice,conversation_morning_minutesunknown,conversation_morning_countconversation,conversation_morning_silencesensedfraction,conversation_morning_noisesensedfraction,conversation_morning_voicesensedfraction,conversation_morning_unknownsensedfraction,conversation_morning_silenceexpectedfraction,conversation_morning_noiseexpectedfraction,conversation_morning_voiceexpectedfraction,conversation_morning_unknownexpectedfraction,conversation_morning_sumconversationduration,conversation_morning_avgconversationduration,conversation_morning_sdconversationduration,conversation_morning_minconversationduration,conversation_morning_maxconversationduration,conversation_morning_timefirstconversation,conversation_morning_timelastconversation,conversation_morning_sumenergy,conversation_morning_avgenergy,conversation_morning_sdenergy,conversation_morning_minenergy,conversation_morning_maxenergy -2020-07-07,0.5,8.266666666666667,2.433333333333333,0.65,4,0.04219409282700422,0.6976090014064699,0.20534458509142053,0.05485232067510549,0.001388888888888889,0.022962962962962966,0.006759259259259258,0.0018055555555555557,4.6,1.15,0.4283906144146001,0.75,1.6666666666666667,392.0,656.0,3535623,4944.927272727273,3443.3314096066924,0,11985 +local_date,conversation_morning_minutessilence,conversation_morning_minutesnoise,conversation_morning_minutesvoice,conversation_morning_minutesunknown,conversation_morning_countconversation,conversation_morning_silencesensedfraction,conversation_morning_noisesensedfraction,conversation_morning_voicesensedfraction,conversation_morning_unknownsensedfraction,conversation_morning_silenceexpectedfraction,conversation_morning_noiseexpectedfraction,conversation_morning_voiceexpectedfraction,conversation_morning_unknownexpectedfraction,conversation_morning_sumconversationduration,conversation_morning_avgconversationduration,conversation_morning_sdconversationduration,conversation_morning_minconversationduration,conversation_morning_maxconversationduration,conversation_morning_timefirstconversation,conversation_morning_timelastconversation,conversation_morning_noisesumenergy,conversation_morning_noiseavgenergy,conversation_morning_noisesdenergy,conversation_morning_noiseminenergy,conversation_morning_noisemaxenergy,conversation_morning_voicesumenergy,conversation_morning_voiceavgenergy,conversation_morning_voicesdenergy,conversation_morning_voiceminenergy,conversation_morning_voicemaxenergy +2020-07-07,0.5,8.266666666666667,2.433333333333333,0.65,4,0.04219409282700422,0.6976090014064699,0.20534458509142053,0.05485232067510549,0.001388888888888889,0.022962962962962966,0.006759259259259258,0.0018055555555555557,4.6,1.15,0.4283906144146001,0.75,1.6666666666666667,392.0,656.0,3018217,6085.114919354839,3372.11073498322,13,11985,439819,3012.458904109589,1708.9791513294683,18,5974 +2020-07-08,0.8166666666666667,8.966666666666667,2.4833333333333334,0.5666666666666667,3,0.06363636363636363,0.6987012987012987,0.19350649350649352,0.04415584415584415,0.0022685185185185187,0.02490740740740741,0.006898148148148148,0.001574074074074074,5.433333333333334,1.8111111111111111,1.3243796591164791,0.2833333333333333,2.6333333333333333,481.0,719.0,3328403,6186.622676579926,3507.2428114622626,21,11986,484712,3253.1006711409395,1731.8302018110644,39,5972 diff --git a/tests/data/processed/test02/conversation_night.csv b/tests/data/processed/test02/conversation_night.csv index 5fa4f616..1d18eda1 100644 --- a/tests/data/processed/test02/conversation_night.csv +++ b/tests/data/processed/test02/conversation_night.csv @@ -1,2 +1,3 @@ -local_date,conversation_night_minutessilence,conversation_night_minutesnoise,conversation_night_minutesvoice,conversation_night_minutesunknown,conversation_night_countconversation,conversation_night_silencesensedfraction,conversation_night_noisesensedfraction,conversation_night_voicesensedfraction,conversation_night_unknownsensedfraction,conversation_night_silenceexpectedfraction,conversation_night_noiseexpectedfraction,conversation_night_voiceexpectedfraction,conversation_night_unknownexpectedfraction,conversation_night_sumconversationduration,conversation_night_avgconversationduration,conversation_night_sdconversationduration,conversation_night_minconversationduration,conversation_night_maxconversationduration,conversation_night_timefirstconversation,conversation_night_timelastconversation,conversation_night_sumenergy,conversation_night_avgenergy,conversation_night_sdenergy,conversation_night_minenergy,conversation_night_maxenergy -2020-07-07,0.7,10.3,2.85,0.8166666666666667,2,0.04772727272727273,0.7022727272727274,0.19431818181818183,0.055681818181818186,0.0019444444444444444,0.02861111111111111,0.007916666666666667,0.0022685185185185187,10.766666666666667,5.383333333333334,6.599663291074444,0.7166666666666667,10.05,73.0,359.0,4422659,5014.35260770975,3609.249684373919,0,11976 +local_date,conversation_night_minutessilence,conversation_night_minutesnoise,conversation_night_minutesvoice,conversation_night_minutesunknown,conversation_night_countconversation,conversation_night_silencesensedfraction,conversation_night_noisesensedfraction,conversation_night_voicesensedfraction,conversation_night_unknownsensedfraction,conversation_night_silenceexpectedfraction,conversation_night_noiseexpectedfraction,conversation_night_voiceexpectedfraction,conversation_night_unknownexpectedfraction,conversation_night_sumconversationduration,conversation_night_avgconversationduration,conversation_night_sdconversationduration,conversation_night_minconversationduration,conversation_night_maxconversationduration,conversation_night_timefirstconversation,conversation_night_timelastconversation,conversation_night_noisesumenergy,conversation_night_noiseavgenergy,conversation_night_noisesdenergy,conversation_night_noiseminenergy,conversation_night_noisemaxenergy,conversation_night_voicesumenergy,conversation_night_voiceavgenergy,conversation_night_voicesdenergy,conversation_night_voiceminenergy,conversation_night_voicemaxenergy +2020-07-07,0.7,10.3,2.85,0.8166666666666667,2,0.04772727272727273,0.7022727272727274,0.19431818181818183,0.055681818181818186,0.0019444444444444444,0.02861111111111111,0.007916666666666667,0.0022685185185185187,10.766666666666667,5.383333333333334,6.599663291074444,0.7166666666666667,10.05,73.0,359.0,3825040,6189.385113268609,3543.1815292214824,31,11976,499842,2923.0526315789475,1743.7537375482877,54,5982 +2020-07-08,1.0833333333333333,15.733333333333333,3.716666666666667,1.3,3,0.04961832061068702,0.7206106870229008,0.1702290076335878,0.05954198473282443,0.0030092592592592593,0.0437037037037037,0.010324074074074074,0.0036111111111111114,17.95,5.983333333333333,7.187160620006888,1.4,14.266666666666667,77.0,359.0,5533379,5861.630296610169,3459.015959830812,49,11981,714837,3205.547085201794,1752.0956065993914,15,5983 diff --git a/tests/data/processed/test03/conversation_afternoon.csv b/tests/data/processed/test03/conversation_afternoon.csv index 06316647..2b1a72b9 100644 --- a/tests/data/processed/test03/conversation_afternoon.csv +++ b/tests/data/processed/test03/conversation_afternoon.csv @@ -1 +1 @@ -local_date,conversation_afternoon_maxenergy,conversation_afternoon_unknownexpectedfraction,conversation_afternoon_avgconversationduration,conversation_afternoon_unknownsensedfraction,conversation_afternoon_noisesensedfraction,conversation_afternoon_minutesvoice,conversation_afternoon_maxconversationduration,conversation_afternoon_avgenergy,conversation_afternoon_sdconversationduration,conversation_afternoon_silenceexpectedfraction,conversation_afternoon_noiseexpectedfraction,conversation_afternoon_minutesnoise,conversation_afternoon_voicesensedfraction,conversation_afternoon_silencesensedfraction,conversation_afternoon_minenergy,conversation_afternoon_timelastconversation,conversation_afternoon_voiceexpectedfraction,conversation_afternoon_timefirstconversation,conversation_afternoon_minutesunknown,conversation_afternoon_sumconversationduration,conversation_afternoon_minconversationduration,conversation_afternoon_sumenergy,conversation_afternoon_sdenergy,conversation_afternoon_countconversation,conversation_afternoon_minutessilence +local_date,conversation_afternoon_minutessilence,conversation_afternoon_voicesumenergy,conversation_afternoon_unknownsensedfraction,conversation_afternoon_voiceexpectedfraction,conversation_afternoon_timelastconversation,conversation_afternoon_sdconversationduration,conversation_afternoon_noisesdenergy,conversation_afternoon_voicesensedfraction,conversation_afternoon_unknownexpectedfraction,conversation_afternoon_sumconversationduration,conversation_afternoon_noisemaxenergy,conversation_afternoon_silenceexpectedfraction,conversation_afternoon_timefirstconversation,conversation_afternoon_noiseexpectedfraction,conversation_afternoon_avgconversationduration,conversation_afternoon_countconversation,conversation_afternoon_maxconversationduration,conversation_afternoon_voicemaxenergy,conversation_afternoon_noisesumenergy,conversation_afternoon_voicesdenergy,conversation_afternoon_minutesunknown,conversation_afternoon_noisesensedfraction,conversation_afternoon_noiseavgenergy,conversation_afternoon_minutesnoise,conversation_afternoon_voiceminenergy,conversation_afternoon_noiseminenergy,conversation_afternoon_minutesvoice,conversation_afternoon_voiceavgenergy,conversation_afternoon_minconversationduration,conversation_afternoon_silencesensedfraction diff --git a/tests/data/processed/test03/conversation_daily.csv b/tests/data/processed/test03/conversation_daily.csv index 466a58b8..cbcc9c07 100644 --- a/tests/data/processed/test03/conversation_daily.csv +++ b/tests/data/processed/test03/conversation_daily.csv @@ -1 +1 @@ -local_date,conversation_daily_unknownsensedfraction,conversation_daily_sumconversationduration,conversation_daily_maxenergy,conversation_daily_unknownexpectedfraction,conversation_daily_minutesvoice,conversation_daily_minutessilence,conversation_daily_avgenergy,conversation_daily_minenergy,conversation_daily_timelastconversation,conversation_daily_sdconversationduration,conversation_daily_silenceexpectedfraction,conversation_daily_noiseexpectedfraction,conversation_daily_voicesensedfraction,conversation_daily_sdenergy,conversation_daily_maxconversationduration,conversation_daily_avgconversationduration,conversation_daily_sumenergy,conversation_daily_voiceexpectedfraction,conversation_daily_minutesnoise,conversation_daily_minutesunknown,conversation_daily_noisesensedfraction,conversation_daily_minconversationduration,conversation_daily_timefirstconversation,conversation_daily_countconversation,conversation_daily_silencesensedfraction +local_date,conversation_daily_timelastconversation,conversation_daily_noisesumenergy,conversation_daily_voiceminenergy,conversation_daily_noisesdenergy,conversation_daily_voiceexpectedfraction,conversation_daily_sdconversationduration,conversation_daily_noisemaxenergy,conversation_daily_noiseavgenergy,conversation_daily_minutesvoice,conversation_daily_voicesensedfraction,conversation_daily_countconversation,conversation_daily_voicesumenergy,conversation_daily_minutesunknown,conversation_daily_noisesensedfraction,conversation_daily_unknownexpectedfraction,conversation_daily_silencesensedfraction,conversation_daily_minutesnoise,conversation_daily_silenceexpectedfraction,conversation_daily_avgconversationduration,conversation_daily_minconversationduration,conversation_daily_noiseexpectedfraction,conversation_daily_voiceavgenergy,conversation_daily_maxconversationduration,conversation_daily_sumconversationduration,conversation_daily_voicesdenergy,conversation_daily_noiseminenergy,conversation_daily_voicemaxenergy,conversation_daily_minutessilence,conversation_daily_timefirstconversation,conversation_daily_unknownsensedfraction diff --git a/tests/data/processed/test03/conversation_evening.csv b/tests/data/processed/test03/conversation_evening.csv index f7bc6158..4fb15162 100644 --- a/tests/data/processed/test03/conversation_evening.csv +++ b/tests/data/processed/test03/conversation_evening.csv @@ -1 +1 @@ -local_date,conversation_evening_noiseexpectedfraction,conversation_evening_minenergy,conversation_evening_noisesensedfraction,conversation_evening_voicesensedfraction,conversation_evening_sdenergy,conversation_evening_unknownsensedfraction,conversation_evening_minutesvoice,conversation_evening_minutesunknown,conversation_evening_minutesnoise,conversation_evening_timelastconversation,conversation_evening_silenceexpectedfraction,conversation_evening_timefirstconversation,conversation_evening_minutessilence,conversation_evening_silencesensedfraction,conversation_evening_sdconversationduration,conversation_evening_countconversation,conversation_evening_maxconversationduration,conversation_evening_unknownexpectedfraction,conversation_evening_avgenergy,conversation_evening_voiceexpectedfraction,conversation_evening_minconversationduration,conversation_evening_maxenergy,conversation_evening_sumenergy,conversation_evening_sumconversationduration,conversation_evening_avgconversationduration +local_date,conversation_evening_sumconversationduration,conversation_evening_sdconversationduration,conversation_evening_countconversation,conversation_evening_voicemaxenergy,conversation_evening_voicesensedfraction,conversation_evening_timefirstconversation,conversation_evening_unknownexpectedfraction,conversation_evening_timelastconversation,conversation_evening_noisesumenergy,conversation_evening_minutessilence,conversation_evening_voicesumenergy,conversation_evening_noisesensedfraction,conversation_evening_minconversationduration,conversation_evening_minutesvoice,conversation_evening_maxconversationduration,conversation_evening_minutesnoise,conversation_evening_noisemaxenergy,conversation_evening_noisesdenergy,conversation_evening_noiseexpectedfraction,conversation_evening_noiseminenergy,conversation_evening_noiseavgenergy,conversation_evening_unknownsensedfraction,conversation_evening_silencesensedfraction,conversation_evening_voiceavgenergy,conversation_evening_silenceexpectedfraction,conversation_evening_voicesdenergy,conversation_evening_voiceminenergy,conversation_evening_avgconversationduration,conversation_evening_minutesunknown,conversation_evening_voiceexpectedfraction diff --git a/tests/data/processed/test03/conversation_morning.csv b/tests/data/processed/test03/conversation_morning.csv index 682bf4e2..43724c07 100644 --- a/tests/data/processed/test03/conversation_morning.csv +++ b/tests/data/processed/test03/conversation_morning.csv @@ -1 +1 @@ -local_date,conversation_morning_unknownexpectedfraction,conversation_morning_voicesensedfraction,conversation_morning_avgconversationduration,conversation_morning_minconversationduration,conversation_morning_sumconversationduration,conversation_morning_unknownsensedfraction,conversation_morning_sdconversationduration,conversation_morning_avgenergy,conversation_morning_minutesunknown,conversation_morning_timefirstconversation,conversation_morning_minenergy,conversation_morning_timelastconversation,conversation_morning_silenceexpectedfraction,conversation_morning_minutesnoise,conversation_morning_sumenergy,conversation_morning_silencesensedfraction,conversation_morning_maxenergy,conversation_morning_voiceexpectedfraction,conversation_morning_sdenergy,conversation_morning_minutesvoice,conversation_morning_maxconversationduration,conversation_morning_noiseexpectedfraction,conversation_morning_minutessilence,conversation_morning_noisesensedfraction,conversation_morning_countconversation +local_date,conversation_morning_sumconversationduration,conversation_morning_voicesumenergy,conversation_morning_noisesensedfraction,conversation_morning_timelastconversation,conversation_morning_noiseexpectedfraction,conversation_morning_minutesnoise,conversation_morning_voiceminenergy,conversation_morning_maxconversationduration,conversation_morning_avgconversationduration,conversation_morning_voicesdenergy,conversation_morning_noiseavgenergy,conversation_morning_unknownsensedfraction,conversation_morning_noisesdenergy,conversation_morning_minutessilence,conversation_morning_timefirstconversation,conversation_morning_minutesvoice,conversation_morning_minconversationduration,conversation_morning_silencesensedfraction,conversation_morning_unknownexpectedfraction,conversation_morning_noisemaxenergy,conversation_morning_voicesensedfraction,conversation_morning_countconversation,conversation_morning_silenceexpectedfraction,conversation_morning_noiseminenergy,conversation_morning_voiceexpectedfraction,conversation_morning_voicemaxenergy,conversation_morning_noisesumenergy,conversation_morning_minutesunknown,conversation_morning_sdconversationduration,conversation_morning_voiceavgenergy diff --git a/tests/data/processed/test03/conversation_night.csv b/tests/data/processed/test03/conversation_night.csv index 44880e10..818479f6 100644 --- a/tests/data/processed/test03/conversation_night.csv +++ b/tests/data/processed/test03/conversation_night.csv @@ -1 +1 @@ -local_date,conversation_night_minenergy,conversation_night_voicesensedfraction,conversation_night_noisesensedfraction,conversation_night_minutesunknown,conversation_night_timelastconversation,conversation_night_avgconversationduration,conversation_night_sdconversationduration,conversation_night_silenceexpectedfraction,conversation_night_minconversationduration,conversation_night_sumenergy,conversation_night_maxconversationduration,conversation_night_minutessilence,conversation_night_maxenergy,conversation_night_unknownsensedfraction,conversation_night_noiseexpectedfraction,conversation_night_minutesvoice,conversation_night_avgenergy,conversation_night_minutesnoise,conversation_night_timefirstconversation,conversation_night_unknownexpectedfraction,conversation_night_voiceexpectedfraction,conversation_night_sdenergy,conversation_night_silencesensedfraction,conversation_night_countconversation,conversation_night_sumconversationduration +local_date,conversation_night_minutessilence,conversation_night_minutesnoise,conversation_night_voiceminenergy,conversation_night_minconversationduration,conversation_night_voicesumenergy,conversation_night_voicemaxenergy,conversation_night_noiseavgenergy,conversation_night_avgconversationduration,conversation_night_unknownsensedfraction,conversation_night_silenceexpectedfraction,conversation_night_noiseminenergy,conversation_night_noisesensedfraction,conversation_night_unknownexpectedfraction,conversation_night_countconversation,conversation_night_minutesunknown,conversation_night_noisesumenergy,conversation_night_noisemaxenergy,conversation_night_timefirstconversation,conversation_night_sdconversationduration,conversation_night_maxconversationduration,conversation_night_noiseexpectedfraction,conversation_night_minutesvoice,conversation_night_silencesensedfraction,conversation_night_sumconversationduration,conversation_night_timelastconversation,conversation_night_voicesdenergy,conversation_night_voicesensedfraction,conversation_night_noisesdenergy,conversation_night_voiceexpectedfraction,conversation_night_voiceavgenergy diff --git a/tests/data/processed/test04/conversation_afternoon.csv b/tests/data/processed/test04/conversation_afternoon.csv index 8943c5d0..a018ba8e 100644 --- a/tests/data/processed/test04/conversation_afternoon.csv +++ b/tests/data/processed/test04/conversation_afternoon.csv @@ -1 +1 @@ -local_date,conversation_afternoon_sdconversationduration,conversation_afternoon_noisesensedfraction,conversation_afternoon_timefirstconversation,conversation_afternoon_noiseexpectedfraction,conversation_afternoon_silencesensedfraction,conversation_afternoon_minutesnoise,conversation_afternoon_voicesensedfraction,conversation_afternoon_silenceexpectedfraction,conversation_afternoon_minutesunknown,conversation_afternoon_minconversationduration,conversation_afternoon_countconversation,conversation_afternoon_maxenergy,conversation_afternoon_sumconversationduration,conversation_afternoon_unknownsensedfraction,conversation_afternoon_sdenergy,conversation_afternoon_minutesvoice,conversation_afternoon_minutessilence,conversation_afternoon_timelastconversation,conversation_afternoon_sumenergy,conversation_afternoon_maxconversationduration,conversation_afternoon_avgenergy,conversation_afternoon_avgconversationduration,conversation_afternoon_minenergy,conversation_afternoon_voiceexpectedfraction,conversation_afternoon_unknownexpectedfraction +local_date,conversation_afternoon_minutessilence,conversation_afternoon_sumconversationduration,conversation_afternoon_sdconversationduration,conversation_afternoon_voicesensedfraction,conversation_afternoon_timelastconversation,conversation_afternoon_minutesvoice,conversation_afternoon_avgconversationduration,conversation_afternoon_unknownsensedfraction,conversation_afternoon_voiceexpectedfraction,conversation_afternoon_voicesdenergy,conversation_afternoon_noiseminenergy,conversation_afternoon_unknownexpectedfraction,conversation_afternoon_minconversationduration,conversation_afternoon_noisesensedfraction,conversation_afternoon_voiceavgenergy,conversation_afternoon_voicemaxenergy,conversation_afternoon_timefirstconversation,conversation_afternoon_noiseavgenergy,conversation_afternoon_silenceexpectedfraction,conversation_afternoon_minutesunknown,conversation_afternoon_voiceminenergy,conversation_afternoon_noisemaxenergy,conversation_afternoon_noisesumenergy,conversation_afternoon_voicesumenergy,conversation_afternoon_maxconversationduration,conversation_afternoon_noisesdenergy,conversation_afternoon_noiseexpectedfraction,conversation_afternoon_silencesensedfraction,conversation_afternoon_minutesnoise,conversation_afternoon_countconversation diff --git a/tests/data/processed/test04/conversation_daily.csv b/tests/data/processed/test04/conversation_daily.csv index 12b01b61..55b23684 100644 --- a/tests/data/processed/test04/conversation_daily.csv +++ b/tests/data/processed/test04/conversation_daily.csv @@ -1 +1 @@ -local_date,conversation_daily_timelastconversation,conversation_daily_maxenergy,conversation_daily_minutesunknown,conversation_daily_silenceexpectedfraction,conversation_daily_silencesensedfraction,conversation_daily_minutesnoise,conversation_daily_timefirstconversation,conversation_daily_minconversationduration,conversation_daily_voiceexpectedfraction,conversation_daily_minutesvoice,conversation_daily_sumenergy,conversation_daily_avgenergy,conversation_daily_noiseexpectedfraction,conversation_daily_avgconversationduration,conversation_daily_sdenergy,conversation_daily_minutessilence,conversation_daily_countconversation,conversation_daily_maxconversationduration,conversation_daily_sumconversationduration,conversation_daily_unknownexpectedfraction,conversation_daily_voicesensedfraction,conversation_daily_minenergy,conversation_daily_unknownsensedfraction,conversation_daily_noisesensedfraction,conversation_daily_sdconversationduration +local_date,conversation_daily_avgconversationduration,conversation_daily_timefirstconversation,conversation_daily_noiseminenergy,conversation_daily_minutessilence,conversation_daily_voicemaxenergy,conversation_daily_voicesensedfraction,conversation_daily_minutesvoice,conversation_daily_voiceavgenergy,conversation_daily_sdconversationduration,conversation_daily_maxconversationduration,conversation_daily_noisesumenergy,conversation_daily_noisesdenergy,conversation_daily_minutesnoise,conversation_daily_noiseexpectedfraction,conversation_daily_noisesensedfraction,conversation_daily_voicesumenergy,conversation_daily_silenceexpectedfraction,conversation_daily_noiseavgenergy,conversation_daily_voiceexpectedfraction,conversation_daily_noisemaxenergy,conversation_daily_minutesunknown,conversation_daily_minconversationduration,conversation_daily_voiceminenergy,conversation_daily_unknownexpectedfraction,conversation_daily_sumconversationduration,conversation_daily_silencesensedfraction,conversation_daily_voicesdenergy,conversation_daily_unknownsensedfraction,conversation_daily_timelastconversation,conversation_daily_countconversation diff --git a/tests/data/processed/test04/conversation_evening.csv b/tests/data/processed/test04/conversation_evening.csv index d1aa6858..6a6d988f 100644 --- a/tests/data/processed/test04/conversation_evening.csv +++ b/tests/data/processed/test04/conversation_evening.csv @@ -1 +1 @@ -local_date,conversation_evening_avgconversationduration,conversation_evening_maxenergy,conversation_evening_minenergy,conversation_evening_minconversationduration,conversation_evening_minutesunknown,conversation_evening_noiseexpectedfraction,conversation_evening_minutesnoise,conversation_evening_noisesensedfraction,conversation_evening_sdconversationduration,conversation_evening_silenceexpectedfraction,conversation_evening_minutesvoice,conversation_evening_unknownsensedfraction,conversation_evening_voicesensedfraction,conversation_evening_sumenergy,conversation_evening_unknownexpectedfraction,conversation_evening_timefirstconversation,conversation_evening_sdenergy,conversation_evening_minutessilence,conversation_evening_maxconversationduration,conversation_evening_countconversation,conversation_evening_silencesensedfraction,conversation_evening_sumconversationduration,conversation_evening_timelastconversation,conversation_evening_avgenergy,conversation_evening_voiceexpectedfraction +local_date,conversation_evening_maxconversationduration,conversation_evening_voiceexpectedfraction,conversation_evening_countconversation,conversation_evening_avgconversationduration,conversation_evening_noisesensedfraction,conversation_evening_unknownsensedfraction,conversation_evening_timelastconversation,conversation_evening_voicesdenergy,conversation_evening_sdconversationduration,conversation_evening_minutessilence,conversation_evening_minutesnoise,conversation_evening_silenceexpectedfraction,conversation_evening_silencesensedfraction,conversation_evening_voicesumenergy,conversation_evening_noiseminenergy,conversation_evening_voiceminenergy,conversation_evening_minutesunknown,conversation_evening_noisemaxenergy,conversation_evening_noisesdenergy,conversation_evening_voicesensedfraction,conversation_evening_sumconversationduration,conversation_evening_minconversationduration,conversation_evening_timefirstconversation,conversation_evening_noiseexpectedfraction,conversation_evening_unknownexpectedfraction,conversation_evening_voiceavgenergy,conversation_evening_voicemaxenergy,conversation_evening_noisesumenergy,conversation_evening_noiseavgenergy,conversation_evening_minutesvoice diff --git a/tests/data/processed/test04/conversation_morning.csv b/tests/data/processed/test04/conversation_morning.csv index e7458450..9038a1e1 100644 --- a/tests/data/processed/test04/conversation_morning.csv +++ b/tests/data/processed/test04/conversation_morning.csv @@ -1 +1 @@ -local_date,conversation_morning_silencesensedfraction,conversation_morning_voiceexpectedfraction,conversation_morning_minenergy,conversation_morning_maxconversationduration,conversation_morning_sumenergy,conversation_morning_sdconversationduration,conversation_morning_maxenergy,conversation_morning_timefirstconversation,conversation_morning_silenceexpectedfraction,conversation_morning_minutesvoice,conversation_morning_timelastconversation,conversation_morning_noiseexpectedfraction,conversation_morning_minutessilence,conversation_morning_avgconversationduration,conversation_morning_noisesensedfraction,conversation_morning_countconversation,conversation_morning_sdenergy,conversation_morning_sumconversationduration,conversation_morning_minconversationduration,conversation_morning_unknownsensedfraction,conversation_morning_minutesnoise,conversation_morning_minutesunknown,conversation_morning_avgenergy,conversation_morning_unknownexpectedfraction,conversation_morning_voicesensedfraction +local_date,conversation_morning_voicesensedfraction,conversation_morning_noiseminenergy,conversation_morning_noisemaxenergy,conversation_morning_unknownsensedfraction,conversation_morning_sumconversationduration,conversation_morning_countconversation,conversation_morning_noisesumenergy,conversation_morning_voicesumenergy,conversation_morning_voicesdenergy,conversation_morning_minutesnoise,conversation_morning_noiseavgenergy,conversation_morning_maxconversationduration,conversation_morning_noisesdenergy,conversation_morning_voicemaxenergy,conversation_morning_noiseexpectedfraction,conversation_morning_silencesensedfraction,conversation_morning_minutesunknown,conversation_morning_sdconversationduration,conversation_morning_voiceminenergy,conversation_morning_voiceexpectedfraction,conversation_morning_minconversationduration,conversation_morning_silenceexpectedfraction,conversation_morning_timelastconversation,conversation_morning_unknownexpectedfraction,conversation_morning_avgconversationduration,conversation_morning_noisesensedfraction,conversation_morning_timefirstconversation,conversation_morning_minutesvoice,conversation_morning_voiceavgenergy,conversation_morning_minutessilence diff --git a/tests/data/processed/test04/conversation_night.csv b/tests/data/processed/test04/conversation_night.csv index 33764656..8aff3aed 100644 --- a/tests/data/processed/test04/conversation_night.csv +++ b/tests/data/processed/test04/conversation_night.csv @@ -1 +1 @@ -local_date,conversation_night_noisesensedfraction,conversation_night_minutesvoice,conversation_night_maxenergy,conversation_night_voiceexpectedfraction,conversation_night_avgconversationduration,conversation_night_timelastconversation,conversation_night_minutessilence,conversation_night_minutesunknown,conversation_night_avgenergy,conversation_night_noiseexpectedfraction,conversation_night_sumenergy,conversation_night_minenergy,conversation_night_minconversationduration,conversation_night_sdenergy,conversation_night_sumconversationduration,conversation_night_countconversation,conversation_night_voicesensedfraction,conversation_night_maxconversationduration,conversation_night_silencesensedfraction,conversation_night_minutesnoise,conversation_night_unknownsensedfraction,conversation_night_timefirstconversation,conversation_night_silenceexpectedfraction,conversation_night_sdconversationduration,conversation_night_unknownexpectedfraction +local_date,conversation_night_countconversation,conversation_night_avgconversationduration,conversation_night_voiceexpectedfraction,conversation_night_voicemaxenergy,conversation_night_noisesumenergy,conversation_night_noiseexpectedfraction,conversation_night_silenceexpectedfraction,conversation_night_minconversationduration,conversation_night_voiceavgenergy,conversation_night_minutessilence,conversation_night_timelastconversation,conversation_night_unknownsensedfraction,conversation_night_timefirstconversation,conversation_night_sdconversationduration,conversation_night_silencesensedfraction,conversation_night_noiseavgenergy,conversation_night_minutesunknown,conversation_night_voicesumenergy,conversation_night_noiseminenergy,conversation_night_minutesvoice,conversation_night_unknownexpectedfraction,conversation_night_maxconversationduration,conversation_night_noisesensedfraction,conversation_night_noisesdenergy,conversation_night_voicesdenergy,conversation_night_voiceminenergy,conversation_night_noisemaxenergy,conversation_night_voicesensedfraction,conversation_night_minutesnoise,conversation_night_sumconversationduration diff --git a/tests/data/raw/test01/plugin_studentlife_audio_android_raw.csv b/tests/data/raw/test01/plugin_studentlife_audio_android_raw.csv index ab19d5a2..c65e581b 100644 --- a/tests/data/raw/test01/plugin_studentlife_audio_android_raw.csv +++ b/tests/data/raw/test01/plugin_studentlife_audio_android_raw.csv @@ -4397,4 +4397,3148 @@ timestamp,device_id,datatype,double_energy,inference,blod_feature,double_convo_s 1594180620280,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,0,2427,1,NA,0,0 1594180621798,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,0,1306,1,NA,0,0 1594180622043,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,0,2745,1,NA,0,0 -1594180623433,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,0,512,1,NA,0,0 \ No newline at end of file +1594180623433,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,0,512,1,NA,0,0 +1594185306551,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,0,1967,1,NA,0,0 +1594185307601,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,0,11957,1,NA,0,0 +1594185308785,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,0,6973,1,NA,0,0 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"timeoflastuse", "frequencyentropy"] WIFI: - COMPUTE: True + COMPUTE: True DB_TABLE: VISIBLE_ACCESS_POINTS: "wifi" # if you only have a CONNECTED_ACCESS_POINTS table, set this value to "" CONNECTED_ACCESS_POINTS: "sensor_wifi" # if you only have a VISIBLE_ACCESS_POINTS table, set this value to "" DAY_SEGMENTS: *day_segments FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"] - CONVERSATION: COMPUTE: True DB_TABLE: @@ -96,9 +95,10 @@ CONVERSATION: IOS: plugin_studentlife_audio DAY_SEGMENTS: *day_segments FEATURES: ["minutessilence", "minutesnoise", "minutesvoice", "minutesunknown","sumconversationduration","avgconversationduration", - "sdconversationduration","minconversationduration","maxconversationduration","timefirstconversation","timelastconversation","sumenergy", - "avgenergy","sdenergy","minenergy","maxenergy","silencesensedfraction","noisesensedfraction", + "sdconversationduration","minconversationduration","maxconversationduration","timefirstconversation","timelastconversation","noisesumenergy", + "noiseavgenergy","noisesdenergy","noiseminenergy","noisemaxenergy","voicesumenergy", + "voiceavgenergy","voicesdenergy","voiceminenergy","voicemaxenergy","silencesensedfraction","noisesensedfraction", "voicesensedfraction","unknownsensedfraction","silenceexpectedfraction","noiseexpectedfraction","voiceexpectedfraction", "unknownexpectedfraction","countconversation"] RECORDINGMINUTES: 1 - PAUSEDMINUTES : 3 + PAUSEDMINUTES : 3 \ No newline at end of file From faee2bd5401738c77b9deb06734fbaf7cce26717 Mon Sep 17 00:00:00 2001 From: Agam Date: Tue, 1 Sep 2020 00:25:08 -0400 Subject: [PATCH 08/37] updated Dockerfile with git and rapids_example.sql --- Dockerfile | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/Dockerfile b/Dockerfile index 904bf988..3bb4b72e 100644 --- a/Dockerfile +++ b/Dockerfile @@ -15,6 +15,7 @@ RUN apt update && apt install -y r-base RUN apt install -y pandoc RUN apt install -y git RUN apt-get update && apt-get install -y vim +RUN apt update && apt install -y unzip ENV LANG=C.UTF-8 LC_ALL=C.UTF-8 ENV PATH /opt/conda/bin:$PATH @@ -42,6 +43,11 @@ WORKDIR /rapids RUN conda env create -f environment.yml -n rapids RUN Rscript --vanilla -e 'install.packages("rmarkdown", repos="http://cran.us.r-project.org")' RUN R -e 'renv::restore()' -COPY rapids_example.sql ./data/external +ADD https://osf.io/587wc/download data/external +RUN mv data/external/download data/external/rapids_example.sql.zip +RUN unzip data/external/rapids_example.sql.zip +RUN cp rapids_example.sql data/external/rapids_example.sql +RUN rm data/external/rapids_example.sql.zip +RUN rm rapids_example.sql RUN echo "source activate rapids" > ~/.bashrc ENV PATH /opt/conda/envs/rapids/bin:$PATH \ No newline at end of file From 6ef0a187900d6bb3fb6f12005145cce1823af9cd Mon Sep 17 00:00:00 2001 From: Agam Date: Tue, 1 Sep 2020 01:27:35 -0400 Subject: [PATCH 09/37] travis docker integration --- .travis.yml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index 6fdb61c6..d03e5ee5 100644 --- a/.travis.yml +++ b/.travis.yml @@ -66,8 +66,10 @@ script: - bash tests/scripts/run_tests.sh - docker build -t rapids . -# after_success: -# need to push built image to appropriate repo in docker hub (to do: encrypt password) +after_success: + - docker login -u "agamk" -p "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" + - docker tag rapids agamk/rapids:travislatest + - docker push agamk/rapids:travislatest branches: only: From db0ce25205c3e50c5081b96248d45ab04ee1c55b Mon Sep 17 00:00:00 2001 From: Agam Date: Tue, 1 Sep 2020 18:14:02 -0400 Subject: [PATCH 10/37] build stages + separate jobs --- .travis.yml | 27 ++++++++++++++++++--------- 1 file changed, 18 insertions(+), 9 deletions(-) diff --git a/.travis.yml b/.travis.yml index d03e5ee5..85e970a8 100644 --- a/.travis.yml +++ b/.travis.yml @@ -5,10 +5,14 @@ services: sudo: required language: python # this works for Linux but is an error on macOS or Windows - +stages: + - test + - dockerize + jobs: include: - - name: "Python 3.7 on Xenial Linux" + - stage: test + name: "Python 3.7 on Xenial Linux" os: linux language: python python: 3.7 @@ -31,7 +35,8 @@ jobs: - $HOME/.local/share/renv - $TRAVIS_BUILD_DIR/renv/library - - name: "Python 3.7 on macOS" + - stage: test + name: "Python 3.7 on macOS" os: osx osx_image: xcode11.3 # Python 3.7 running on macOS 10.14.4 language: generic # 'language: python' is an error on Travis CI macOS @@ -53,6 +58,16 @@ jobs: - $RENV_PATHS_ROOT - $TRAVIS_BUILD_DIR/renv/library + - stage: dockerize + name: "Python 3.7 on Xenial Linux" + os: linux + language: python + script: + - docker build -t rapids . + - docker login -u "agamk" -p "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" + - docker tag rapids agamk/rapids:travislatest + - docker push agamk/rapids:travislatest + install: - conda init bash - conda update -q --all --yes conda @@ -64,12 +79,6 @@ install: script: - bash tests/scripts/run_tests.sh - - docker build -t rapids . - -after_success: - - docker login -u "agamk" -p "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" - - docker tag rapids agamk/rapids:travislatest - - docker push agamk/rapids:travislatest branches: only: From 5a2e2a2a0a1d2f62125d469209fde49701dc3880 Mon Sep 17 00:00:00 2001 From: Agam Date: Tue, 1 Sep 2020 23:53:04 -0400 Subject: [PATCH 11/37] updated travis.yml --- .travis.yml | 28 ++++++++++++---------------- 1 file changed, 12 insertions(+), 16 deletions(-) diff --git a/.travis.yml b/.travis.yml index 85e970a8..6d3dad7c 100644 --- a/.travis.yml +++ b/.travis.yml @@ -5,13 +5,10 @@ services: sudo: required language: python # this works for Linux but is an error on macOS or Windows -stages: - - test - - dockerize - + jobs: include: - - stage: test + - stage: "Tests" name: "Python 3.7 on Xenial Linux" os: linux language: python @@ -35,8 +32,7 @@ jobs: - $HOME/.local/share/renv - $TRAVIS_BUILD_DIR/renv/library - - stage: test - name: "Python 3.7 on macOS" + - name: "Python 3.7 on macOS" os: osx osx_image: xcode11.3 # Python 3.7 running on macOS 10.14.4 language: generic # 'language: python' is an error on Travis CI macOS @@ -58,15 +54,15 @@ jobs: - $RENV_PATHS_ROOT - $TRAVIS_BUILD_DIR/renv/library - - stage: dockerize - name: "Python 3.7 on Xenial Linux" - os: linux - language: python - script: - - docker build -t rapids . - - docker login -u "agamk" -p "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" - - docker tag rapids agamk/rapids:travislatest - - docker push agamk/rapids:travislatest + - stage: deploy + name: "Python 3.7 on Xenial Linux Docker" + os: linux + language: python + script: + - docker build -t rapids . + - docker login -u "agamk" -p "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" + - docker tag rapids agamk/rapids:travislatest + - docker push agamk/rapids:travislatest install: - conda init bash From c6cfef100f57a236329b162b3f068f54a6612498 Mon Sep 17 00:00:00 2001 From: Agam Date: Wed, 2 Sep 2020 12:14:39 -0400 Subject: [PATCH 12/37] move install and script to testing stages --- .travis.yml | 32 ++++++++++++++++++++------------ 1 file changed, 20 insertions(+), 12 deletions(-) diff --git a/.travis.yml b/.travis.yml index 6d3dad7c..3e9c113d 100644 --- a/.travis.yml +++ b/.travis.yml @@ -26,11 +26,21 @@ jobs: - source "$HOME/miniconda/etc/profile.d/conda.sh" - hash -r - conda config --set always_yes yes --set changeps1 no + install: + - conda init bash + - conda update -q --all --yes conda + - conda env create -q -n test-environment python=$TRAVIS_PYTHON_VERSION --file environment.yml + - conda activate test-environment + - snakemake -j1 renv_install + - R -e 'renv::settings$use.cache(FALSE)' + - snakemake -j1 renv_restore cache: directories: - /home/travis/.linuxbrew - $HOME/.local/share/renv - $TRAVIS_BUILD_DIR/renv/library + script: + - bash tests/scripts/run_tests.sh - name: "Python 3.7 on macOS" os: osx @@ -45,7 +55,14 @@ jobs: - HOMEBREW_NO_AUTO_UPDATE=1 brew cask install miniconda - eval "$(/opt/miniconda3/condabin/conda shell.bash hook)" - eval "$(conda shell.bash hook)" # properly initialise non-interactive shell with gcc and no update brew - + install: + - conda init bash + - conda update -q --all --yes conda + - conda env create -q -n test-environment python=$TRAVIS_PYTHON_VERSION --file environment.yml + - conda activate test-environment + - snakemake -j1 renv_install + - R -e 'renv::settings$use.cache(FALSE)' + - snakemake -j1 renv_restore env: - RENV_PATHS_ROOT="$HOME/renv/cache" cache: @@ -53,6 +70,8 @@ jobs: - /usr/local/lib/R - $RENV_PATHS_ROOT - $TRAVIS_BUILD_DIR/renv/library + script: + - bash tests/scripts/run_tests.sh - stage: deploy name: "Python 3.7 on Xenial Linux Docker" @@ -64,17 +83,6 @@ jobs: - docker tag rapids agamk/rapids:travislatest - docker push agamk/rapids:travislatest -install: - - conda init bash - - conda update -q --all --yes conda - - conda env create -q -n test-environment python=$TRAVIS_PYTHON_VERSION --file environment.yml - - conda activate test-environment - - snakemake -j1 renv_install - - R -e 'renv::settings$use.cache(FALSE)' - - snakemake -j1 renv_restore - -script: - - bash tests/scripts/run_tests.sh branches: only: From d435a96b33267f7528fc41eeda0681ad5b6f342f Mon Sep 17 00:00:00 2001 From: Agam Date: Wed, 2 Sep 2020 14:19:16 -0400 Subject: [PATCH 13/37] update env for encrypted pwd in travis --- .travis.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 3e9c113d..724bbcff 100644 --- a/.travis.yml +++ b/.travis.yml @@ -75,11 +75,13 @@ jobs: - stage: deploy name: "Python 3.7 on Xenial Linux Docker" + env: + - secure: "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" os: linux language: python script: - docker build -t rapids . - - docker login -u "agamk" -p "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" + - docker login -u "agamk" -p $DOCKERPWD - docker tag rapids agamk/rapids:travislatest - docker push agamk/rapids:travislatest From 6f9eaee675e4e929fe1e492d4b76a947f7234268 Mon Sep 17 00:00:00 2001 From: Agam Date: Wed, 2 Sep 2020 14:24:03 -0400 Subject: [PATCH 14/37] reformat secure env var --- .travis.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 724bbcff..f5d517d9 100644 --- a/.travis.yml +++ b/.travis.yml @@ -76,7 +76,7 @@ jobs: - stage: deploy name: "Python 3.7 on Xenial Linux Docker" env: - - secure: "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" + - secure: 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 os: linux language: python script: From dd8705b11497411daff0a46aaa8f83a98bf2fb28 Mon Sep 17 00:00:00 2001 From: Agam Date: Wed, 2 Sep 2020 15:50:43 -0400 Subject: [PATCH 15/37] travis CLI fix attempt --- .travis.yml | 176 ++++++++++++++++++++++++++-------------------------- 1 file changed, 87 insertions(+), 89 deletions(-) diff --git a/.travis.yml b/.travis.yml index f5d517d9..9936bc01 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,102 +1,100 @@ services: - - mysql - - docker - +- mysql +- docker sudo: required - -language: python # this works for Linux but is an error on macOS or Windows - +language: python jobs: include: - - stage: "Tests" - name: "Python 3.7 on Xenial Linux" - os: linux - language: python - python: 3.7 - before_install: - - /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)" - - export PATH=/home/linuxbrew/.linuxbrew/bin:$PATH - - source ~/.bashrc - - sudo apt-get install linuxbrew-wrapper - - brew tap --shallow linuxbrew/xorg - - brew install r - - R --version - - wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh; - - bash miniconda.sh -b -p $HOME/miniconda - - source "$HOME/miniconda/etc/profile.d/conda.sh" - - hash -r - - conda config --set always_yes yes --set changeps1 no - install: - - conda init bash - - conda update -q --all --yes conda - - conda env create -q -n test-environment python=$TRAVIS_PYTHON_VERSION --file environment.yml - - conda activate test-environment - - snakemake -j1 renv_install - - R -e 'renv::settings$use.cache(FALSE)' - - snakemake -j1 renv_restore - cache: - directories: - - /home/travis/.linuxbrew - - $HOME/.local/share/renv - - $TRAVIS_BUILD_DIR/renv/library - script: - - bash tests/scripts/run_tests.sh - - - name: "Python 3.7 on macOS" - os: osx - osx_image: xcode11.3 # Python 3.7 running on macOS 10.14.4 - language: generic # 'language: python' is an error on Travis CI macOS - before_install: - - HOMEBREW_NO_AUTO_UPDATE=1 brew install gcc@9 - - HOMEBREW_NO_AUTO_UPDATE=1 brew install https://github.com/Homebrew/homebrew-core/raw/218998d/Formula/r.rb # R 4.0.0 - - R --version - - HOMEBREW_NO_AUTO_UPDATE=1 brew install mysql - - HOMEBREW_NO_AUTO_UPDATE=1 brew services start mysql - - HOMEBREW_NO_AUTO_UPDATE=1 brew cask install miniconda - - eval "$(/opt/miniconda3/condabin/conda shell.bash hook)" - - eval "$(conda shell.bash hook)" # properly initialise non-interactive shell with gcc and no update brew - install: - - conda init bash - - conda update -q --all --yes conda - - conda env create -q -n test-environment python=$TRAVIS_PYTHON_VERSION --file environment.yml - - conda activate test-environment - - snakemake -j1 renv_install - - R -e 'renv::settings$use.cache(FALSE)' - - snakemake -j1 renv_restore - env: - - RENV_PATHS_ROOT="$HOME/renv/cache" - cache: - directories: - - /usr/local/lib/R - - $RENV_PATHS_ROOT - - $TRAVIS_BUILD_DIR/renv/library - script: - - bash tests/scripts/run_tests.sh - - - stage: deploy - name: "Python 3.7 on Xenial Linux Docker" - env: - - secure: Xq5Gq6PniOqSgU6BTycBBNd1UrsKru/aEuTds+9WGP8zwEsfjqzs/bKXpkLSWXWqdNYNlkT0FqHOcmB1K/z62DvstsFpjnsYAfQiW8fN6jKM22JUbLjwY2AJHRuNx9IyGcRMndsr/HrnyEKPCND7+abUWYxGc1GwErL4+MCLDY7JUKUtVGMoArqWNTYOu95YJX7r+XTEmq3Hlw5DV7/BZMoyHwHMhsg2ERGRVQi7tPnGdRXE7rQWcwV+99e9JS+DVOuiu3KInyvculHjsdT9YnLHku65pELINnPefNHIn59rdfb+sBj455RzYxPPFgAbt0lXndaJ/LU60+gPL3H14g/CA9Qak9qVt/QlUh8YjmUcsq4ExRlYfOWLOiXPYgaduGDRwYxmUKJUDSIPdAgP8Dcgm4X2HgImyIziMplgjjl5zUkD9AQkYpoFVxL4L8RXgXgVb6Iis81AUBjxq3KSba8lk1GPGM7GNRzkvbDyqqt7SXmKlmOtCapDNNAyzrlx+l6FqtJJm9dIFULJqy8l7LcoGz5D4kbvlKNgGf9UoWI58cHiURFlMGC8NwKKjfm/TVJYKmO7Lb6SZ/lJHQ7tctePn15r8AVVgo/xM7r0QH8yPp4jmgBVJ6NV0PaCFnftXBewInWHbHpu0CsVTY/wFLfIUc4FxmR/CBXmmjpROx4= - os: linux - language: python - script: - - docker build -t rapids . - - docker login -u "agamk" -p $DOCKERPWD - - docker tag rapids agamk/rapids:travislatest - - docker push agamk/rapids:travislatest - - + - stage: Tests + name: Python 3.7 on Xenial Linux + os: linux + language: python + python: 3.7 + before_install: + - /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)" + - export PATH=/home/linuxbrew/.linuxbrew/bin:$PATH + - source ~/.bashrc + - sudo apt-get install linuxbrew-wrapper + - brew tap --shallow linuxbrew/xorg + - brew install r + - R --version + - wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O + miniconda.sh; + - bash miniconda.sh -b -p $HOME/miniconda + - source "$HOME/miniconda/etc/profile.d/conda.sh" + - hash -r + - conda config --set always_yes yes --set changeps1 no + install: + - conda init bash + - conda update -q --all --yes conda + - conda env create -q -n test-environment python=$TRAVIS_PYTHON_VERSION --file + environment.yml + - conda activate test-environment + - snakemake -j1 renv_install + - R -e 'renv::settings$use.cache(FALSE)' + - snakemake -j1 renv_restore + cache: + directories: + - "/home/travis/.linuxbrew" + - "$HOME/.local/share/renv" + - "$TRAVIS_BUILD_DIR/renv/library" + script: + - bash tests/scripts/run_tests.sh + - name: Python 3.7 on macOS + os: osx + osx_image: xcode11.3 + language: generic + before_install: + - HOMEBREW_NO_AUTO_UPDATE=1 brew install gcc@9 + - HOMEBREW_NO_AUTO_UPDATE=1 brew install https://github.com/Homebrew/homebrew-core/raw/218998d/Formula/r.rb + - R --version + - HOMEBREW_NO_AUTO_UPDATE=1 brew install mysql + - HOMEBREW_NO_AUTO_UPDATE=1 brew services start mysql + - HOMEBREW_NO_AUTO_UPDATE=1 brew cask install miniconda + - eval "$(/opt/miniconda3/condabin/conda shell.bash hook)" + - eval "$(conda shell.bash hook)" + install: + - conda init bash + - conda update -q --all --yes conda + - conda env create -q -n test-environment python=$TRAVIS_PYTHON_VERSION --file + environment.yml + - conda activate test-environment + - snakemake -j1 renv_install + - R -e 'renv::settings$use.cache(FALSE)' + - snakemake -j1 renv_restore + env: + - RENV_PATHS_ROOT="$HOME/renv/cache" + cache: + directories: + - "/usr/local/lib/R" + - "$RENV_PATHS_ROOT" + - "$TRAVIS_BUILD_DIR/renv/library" + script: + - bash tests/scripts/run_tests.sh + - stage: deploy + name: Python 3.7 on Xenial Linux Docker + env: + - secure: 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 + os: linux + language: python + script: + - docker build -t rapids . + - docker login -u "agamk" -p $DOCKERPWD + - docker tag rapids agamk/rapids:travislatest + - docker push agamk/rapids:travislatest branches: only: - master - notifications: email: false slack: - # if: branch = travis_test secure: 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 on_success: always template: - - "Repo `%{repository_slug}` *%{result}* build (<%{build_url}|#%{build_number}>) for commit (<%{compare_url}|%{commit}>) on branch `%{branch}`." - - "Execution time: *%{duration}*" - - "Message: %{message}" + - Repo `%{repository_slug}` *%{result}* build (<%{build_url}|#%{build_number}>) + for commit (<%{compare_url}|%{commit}>) on branch `%{branch}`. + - 'Execution time: *%{duration}*' + - 'Message: %{message}' +env: + global: + secure: 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 From 192a90a40d5d8cdc97589afcb394d977adbca7cc Mon Sep 17 00:00:00 2001 From: Agam Date: Wed, 2 Sep 2020 15:52:56 -0400 Subject: [PATCH 16/37] remove encrypted pwd from docker stage --- .travis.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.travis.yml b/.travis.yml index 9936bc01..3750090f 100644 --- a/.travis.yml +++ b/.travis.yml @@ -73,8 +73,6 @@ jobs: - bash tests/scripts/run_tests.sh - stage: deploy name: Python 3.7 on Xenial Linux Docker - env: - - secure: 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 os: linux language: python script: From f12601edfcbbf1edb381741044f02973c6352bbd Mon Sep 17 00:00:00 2001 From: Agam Date: Wed, 2 Sep 2020 23:49:03 -0400 Subject: [PATCH 17/37] Add Agam Kumar as a contributor to the docs --- docs/develop/contributors.rst | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/docs/develop/contributors.rst b/docs/develop/contributors.rst index c4eb8440..6f9081b0 100644 --- a/docs/develop/contributors.rst +++ b/docs/develop/contributors.rst @@ -57,15 +57,26 @@ Nicolas is a rising senior studying computer science at the University of Pittsb Nikunj Goel, BS """""""""""""""" -**intern** +**Intern** Nik is a graduate student at the University of Pittsburgh pursuing Master of Science in Information Science. He earned his Bachelor of Technology degree in Information Technology from India. He is a Data Enthusiasts and passionate about finding the meaning out of raw data. In a long term, his goal is to create a breakthrough in Data Science and Deep Learning. `Nikunj Goel Linkedin Profile`_ +Agam Kumar, BS +"""""""""""""""" +**Research Assistant at CMU** + +Agam is a junior at Carnegie Mellon University studying Statistics and Machine Learning and pursuing an additional major in Computer Science. He is a member of the Data Science team in the Health and Human Performance Lab at CMU and has keen interests in software development and data science. His research interests include ML applications in medicine. + +`Agam Kumar Linkedin Profile`_ +`Agam Kumar Github Profile`_ + .. _`Julio Vega Personal Website`: https://juliovega.info/ .. _`Meng Li Linkedin Profile`: https://www.linkedin.com/in/meng-li-57238414a .. _`Meng Li Github Profile`: https://github.com/Meng6 .. _`Kwesi Aguillera Linkedin Profile`: https://www.linkedin.com/in/kwesi-aguillera-29529823 .. _`Echhit Joshi Linkedin Profile`: https://www.linkedin.com/in/echhitjoshi/ .. _`Nikunj Goel Linkedin Profile`: https://www.linkedin.com/in/nikunjgoel95/ +.. _`Agam Kumar Linkedin Profile`: https://www.linkedin.com/in/agam-kumar +.. _`Agam Kumar Github Profile`: https://github.com/agam-kumar From 8943404c14dd36f50f97d815d6fb5300316f1820 Mon Sep 17 00:00:00 2001 From: Agam Date: Wed, 2 Sep 2020 23:56:56 -0400 Subject: [PATCH 18/37] formatting change --- docs/develop/contributors.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/develop/contributors.rst b/docs/develop/contributors.rst index 6f9081b0..d780279f 100644 --- a/docs/develop/contributors.rst +++ b/docs/develop/contributors.rst @@ -70,6 +70,7 @@ Agam Kumar, BS Agam is a junior at Carnegie Mellon University studying Statistics and Machine Learning and pursuing an additional major in Computer Science. He is a member of the Data Science team in the Health and Human Performance Lab at CMU and has keen interests in software development and data science. His research interests include ML applications in medicine. `Agam Kumar Linkedin Profile`_ + `Agam Kumar Github Profile`_ .. _`Julio Vega Personal Website`: https://juliovega.info/ From b1baf6d9df5f960bd6cc63950f200a226d28282f Mon Sep 17 00:00:00 2001 From: Meng Li <34143965+Meng6@users.noreply.github.com> Date: Tue, 8 Sep 2020 16:21:46 -0400 Subject: [PATCH 19/37] Update overall compliance heatmap: x-axis label; plot title --- src/visualization/overall_compliance_heatmap.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/src/visualization/overall_compliance_heatmap.py b/src/visualization/overall_compliance_heatmap.py index 5f2b879f..877ab0d2 100644 --- a/src/visualization/overall_compliance_heatmap.py +++ b/src/visualization/overall_compliance_heatmap.py @@ -40,16 +40,18 @@ def getOverallComplianceHeatmap(sensors_with_data, valid_sensed_hours, last_cert x=[date.replace("-", "/") for date in last_certain_dates] if expected_num_of_days != -1 else last_certain_dates, y=[pid + "." + label for pid, label in zip(sensors_with_data["pid"].to_list(), sensors_with_data["label"].to_list())], text=sensors_with_data[last_certain_dates].values, - hovertemplate="Date: %{x}
Participant: %{y}
Valid sensed hours: %{z}
Number of sensors with data: %{text}" if expected_num_of_days != -1 else "Date_idx: %{x}
Participant: %{y}
Valid sensed hours: %{z}
Number of sensors with data: %{text}", + hovertemplate="Date: %{x}
Participant: %{y}
Valid sensed hours: %{z}
Number of sensors with data: %{text}" if expected_num_of_days != -1 else "Day index: %{x}
Participant: %{y}
Valid sensed hours: %{z}
Number of sensors with data: %{text}", colorscale="Viridis", colorbar={"tick0": 0,"dtick": 1}, showscale=True)) if expected_num_of_days != -1: - plot.update_layout(title="Overall compliance heatmap for last " + str(expected_num_of_days) + " days.
Bin's color shows valid sensed hours for that day.
A valid hour has at least one row of any sensor in "+ str(min_bins_per_hour) +" out of " + str(int(60 / bin_size)) + " bins of " + str(bin_size) + " minutes") + plot.update_layout(title="Overall compliance heatmap for last " + str(expected_num_of_days) + " days.
Bin's color shows valid sensed hours for that day.
A valid hour has at least one row of any sensor in "+ str(min_bins_per_hour) +" out of " + str(int(60 / bin_size)) + " bins of " + str(bin_size) + " minutes.
You can hover over every day to see the number of sensors with data in that day.") else: - plot.update_layout(title="Overall compliance heatmap for all days.
Bin's color shows valid sensed hours for that day.
A valid hour has at least one row of any sensor in "+ str(min_bins_per_hour) +" out of " + str(int(60 / bin_size)) + " bins of " + str(bin_size) + " minutes") + plot.update_layout(title="Overall compliance heatmap for all days.
Bin's color shows valid sensed hours for that day.
A valid hour has at least one row of any sensor in "+ str(min_bins_per_hour) +" out of " + str(int(60 / bin_size)) + " bins of " + str(bin_size) + " minutes.
You can hover over every day to see the number of sensors with data in that day.") plot["layout"]["xaxis"].update(side="bottom") + plot["layout"].update(xaxis_title="Day indexes") + plot["layout"].update(margin=dict(t=160)) pio.write_html(plot, file=output_path, auto_open=False, include_plotlyjs="cdn") From 271803914ab526591e4758b1c7c4008667e16d94 Mon Sep 17 00:00:00 2001 From: Meng Li <34143965+Meng6@users.noreply.github.com> Date: Tue, 8 Sep 2020 17:30:37 -0400 Subject: [PATCH 20/37] Update docs: add visualization section --- docs/features/extracted.rst | 2 ++ docs/index.rst | 10 ++++++++++ .../heatmap_of_correlation_matrix_between_features.rst | 6 ++++++ docs/visualization/heatmap_of_days_by_sensors.rst | 6 ++++++ docs/visualization/heatmap_of_phone_sensed_bins.rst | 6 ++++++ docs/visualization/histogram_of_valid_sensed_hours.rst | 6 ++++++ docs/visualization/overall_compliance_heatmap.rst | 6 ++++++ 7 files changed, 42 insertions(+) create mode 100644 docs/visualization/heatmap_of_correlation_matrix_between_features.rst create mode 100644 docs/visualization/heatmap_of_days_by_sensors.rst create mode 100644 docs/visualization/heatmap_of_phone_sensed_bins.rst create mode 100644 docs/visualization/histogram_of_valid_sensed_hours.rst create mode 100644 docs/visualization/overall_compliance_heatmap.rst diff --git a/docs/features/extracted.rst b/docs/features/extracted.rst index a99392f5..69b2333e 100644 --- a/docs/features/extracted.rst +++ b/docs/features/extracted.rst @@ -49,6 +49,8 @@ Global Parameters - ``FIXED_TIMEZONE``. See ``TIMEZONE`` above. This assumes that all data of all participants was collected within one time zone. - Support for multiple time zones for each participant coming soon based on the ``timezone`` table collected by Aware. +.. _phone-valid-sensed-bins: + - ``PHONE_VALID_SENSED_BINS`` Contains three attributes: ``COMPUTE``, ``BIN_SIZE`` and ``TABLES``. See the PHONE_VALID_SENSED_BINS_ section in the ``config.yaml`` file diff --git a/docs/index.rst b/docs/index.rst index e3040bed..4c31d847 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -29,6 +29,16 @@ Contents: features/extracted +.. toctree:: + :maxdepth: 2 + :caption: Visualization + + visualization/histogram_of_valid_sensed_hours + visualization/heatmap_of_phone_sensed_bins + visualization/heatmap_of_days_by_sensors + visualization/overall_compliance_heatmap + visualization/heatmap_of_correlation_matrix_between_features + .. toctree:: :maxdepth: 2 :caption: Developers diff --git a/docs/visualization/heatmap_of_correlation_matrix_between_features.rst b/docs/visualization/heatmap_of_correlation_matrix_between_features.rst new file mode 100644 index 00000000..7bdd881f --- /dev/null +++ b/docs/visualization/heatmap_of_correlation_matrix_between_features.rst @@ -0,0 +1,6 @@ +.. _heatmap-of-correlation-matrix-between-features + +Heatmap of correlation matrix between features +============================================== + +Columns and rows are features computed in RAPIDS, cells’ color represents the correlation coefficient between all days of data for every pair of feature of all participants. The user can specify a minimum number of observations required to compute the correlation between two features using the ``MIN_ROWS_RATIO`` parameter (0.5 by default). In addition, this plot can be configured to only display correlation coefficients above a threshold using the ``CORR_THRESHOLD`` parameter (0.1 by default). diff --git a/docs/visualization/heatmap_of_days_by_sensors.rst b/docs/visualization/heatmap_of_days_by_sensors.rst new file mode 100644 index 00000000..8ac2df70 --- /dev/null +++ b/docs/visualization/heatmap_of_days_by_sensors.rst @@ -0,0 +1,6 @@ +.. _heatmap-of-days-by-sensors + +Heatmap of days by sensors +========================== + +In this heatmap rows are sensors, columns are days and cells’ color shows the normalized (0 to 1) number of valid sensed hours (See valid sensed :ref:`bins` and :ref:`days` sections) collected by a sensor during a day for a participant. The user can decide how many days of data to show starting from the first day of each participant. This plot can used to judge missing data on a per participant, per sensor basis as well as the number of valid sensed hours (usable data) for each day. diff --git a/docs/visualization/heatmap_of_phone_sensed_bins.rst b/docs/visualization/heatmap_of_phone_sensed_bins.rst new file mode 100644 index 00000000..a8e4e98e --- /dev/null +++ b/docs/visualization/heatmap_of_phone_sensed_bins.rst @@ -0,0 +1,6 @@ +.. _heatmap-of-phone-sensed-bins: + +Heatmap of phone sensed bins +============================ + +In this heatmap rows are dates, columns are sensed bins for a participant, and cells’ color shows the number of mobile sensors that logged at least one row of data during that bin. This plot shows the periods of time without data for a participant and can be used as a rough indication of whether time-based sensors were following their sensing schedule (e.g. if location was being sensed every 2 minutes). diff --git a/docs/visualization/histogram_of_valid_sensed_hours.rst b/docs/visualization/histogram_of_valid_sensed_hours.rst new file mode 100644 index 00000000..556d7c97 --- /dev/null +++ b/docs/visualization/histogram_of_valid_sensed_hours.rst @@ -0,0 +1,6 @@ +.. _histogram-of-valid-sensed-hours: + +Histogram of valid sensed hours +=============================== + +This histogram shows the valid sensed hours of all participants processed in RAPIDS (See valid sensed :ref:`bins` and :ref:`days` sections). It can be used as a rough indication of the AWARE client monitoring coverage during a study for all participants. diff --git a/docs/visualization/overall_compliance_heatmap.rst b/docs/visualization/overall_compliance_heatmap.rst new file mode 100644 index 00000000..5bae5078 --- /dev/null +++ b/docs/visualization/overall_compliance_heatmap.rst @@ -0,0 +1,6 @@ +.. _overall-compliance-heatmap + +Overall compliance heatmap +========================== + +In this heatmap rows are participants, columns are days and cells’ color shows the valid sensed hours for a participant during a day (See valid sensed :ref:`bins` and :ref:`days` sections). This plot can be configured to show a certain number of days before today using the ``EXPECTED_NUM_OF_DAYS`` parameter (by default -1 showing all days for every participant). As different participants might join the study on different dates, the x-axis has a day index instead of a date. This plot gives the user a quick overview of the amount of data collected per person and is complementary to the histogram of valid sensed hours as it is broken down per participant and per day. From 6436bf79db6a7d742b991e09537b400de95aec46 Mon Sep 17 00:00:00 2001 From: JulioV Date: Wed, 9 Sep 2020 11:17:05 -0400 Subject: [PATCH 21/37] Fix overall heatmap bug --- src/data/phone_sensed_bins.R | 4 ++++ src/data/phone_valid_sensed_days.R | 3 +-- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/src/data/phone_sensed_bins.R b/src/data/phone_sensed_bins.R index 2d5664fa..de87a5f7 100644 --- a/src/data/phone_sensed_bins.R +++ b/src/data/phone_sensed_bins.R @@ -2,6 +2,7 @@ source("renv/activate.R") library(dplyr) library(tidyr) +library(lubridate) all_sensors <- snakemake@input[["all_sensors"]] bin_size <- snakemake@params[["bin_size"]] @@ -21,6 +22,9 @@ phone_sensed_bins <- all_sensor_data %>% group_by(local_date, local_hour, bin) %>% summarise(sensor_count = n_distinct(sensor)) %>% ungroup() %>% + mutate(local_date = lubridate::ymd(local_date)) %>% + complete(local_date = seq.Date(min(local_date), max(local_date), by="day"), + fill = list(local_hour = 0, bin = 0, sensor_count = 0)) %>% complete(nesting(local_date), local_hour = seq(0, 23, 1), bin = seq(0, (59 %/% bin_size) * bin_size, bin_size), diff --git a/src/data/phone_valid_sensed_days.R b/src/data/phone_valid_sensed_days.R index 649402dd..450baf70 100644 --- a/src/data/phone_valid_sensed_days.R +++ b/src/data/phone_valid_sensed_days.R @@ -9,9 +9,8 @@ output_file <- snakemake@output[[1]] phone_valid_sensed_days <- phone_sensed_bins %>% pivot_longer(cols = -local_date, names_to = c("hour", "bin"), names_sep = "_") %>% - filter(value > 0) %>% group_by(local_date, hour) %>% - summarise(valid_bins = n()) %>% + summarise(valid_bins = sum(value > 0)) %>% group_by(local_date) %>% summarise(valid_sensed_hours = sum(valid_bins >= min_valid_bins_per_hour)) %>% mutate(is_valid_sensed_day = ifelse(valid_sensed_hours >= min_valid_hours_per_day, TRUE, FALSE)) From a25849f7a47c03b957b48739a341c9d6764f32d8 Mon Sep 17 00:00:00 2001 From: JulioV Date: Wed, 9 Sep 2020 11:17:49 -0400 Subject: [PATCH 22/37] Fix timeattop location name bug --- src/features/location_doryab/location_base.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/features/location_doryab/location_base.py b/src/features/location_doryab/location_base.py index fad096e8..6e7ddd0e 100644 --- a/src/features/location_doryab/location_base.py +++ b/src/features/location_doryab/location_base.py @@ -79,15 +79,15 @@ def base_location_features(location_data, day_segment, requested_features, dbsca if "timeattop1location" in features_to_compute: for localDate in newLocationData['local_date'].unique(): - location_features.loc[localDate,"location_" + day_segment + "_timeattop1"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],1,sampling_frequency) + location_features.loc[localDate,"location_" + day_segment + "_timeattop1location"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],1,sampling_frequency) if "timeattop2location" in features_to_compute: for localDate in newLocationData['local_date'].unique(): - location_features.loc[localDate,"location_" + day_segment + "_timeattop2"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],2,sampling_frequency) + location_features.loc[localDate,"location_" + day_segment + "_timeattop2location"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],2,sampling_frequency) if "timeattop3location" in features_to_compute: for localDate in newLocationData['local_date'].unique(): - location_features.loc[localDate,"location_" + day_segment + "_timeattop3"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],3,sampling_frequency) + location_features.loc[localDate,"location_" + day_segment + "_timeattop3location"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],3,sampling_frequency) if "movingtostaticratio" in features_to_compute: for localDate in newLocationData['local_date'].unique(): From 841891335a0bd40fa94f73e942578354d9bae904 Mon Sep 17 00:00:00 2001 From: Meng Li <34143965+Meng6@users.noreply.github.com> Date: Wed, 9 Sep 2020 14:31:58 -0400 Subject: [PATCH 23/37] Update docs: visualization section (add screenshot & rules & params tables) --- docs/visualization/figures/Figure1.png | Bin 0 -> 22402 bytes docs/visualization/figures/Figure2.png | Bin 0 -> 280911 bytes docs/visualization/figures/Figure3.png | Bin 0 -> 123456 bytes docs/visualization/figures/Figure4.png | Bin 0 -> 110887 bytes docs/visualization/figures/Figure5.png | Bin 0 -> 115488 bytes ...of_correlation_matrix_between_features.rst | 41 +++++++++++++++++- .../heatmap_of_days_by_sensors.rst | 37 +++++++++++++++- .../heatmap_of_phone_sensed_bins.rst | 33 +++++++++++++- .../histogram_of_valid_sensed_hours.rst | 35 ++++++++++++++- .../overall_compliance_heatmap.rst | 38 +++++++++++++++- 10 files 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features computed in RAPIDS, cells’ color represents the correlation coefficient between all days of data for every pair of feature of all participants. The user can specify a minimum number of observations required to compute the correlation between two features using the ``MIN_ROWS_RATIO`` parameter (0.5 by default). In addition, this plot can be configured to only display correlation coefficients above a threshold using the ``CORR_THRESHOLD`` parameter (0.1 by default). +See `Heatmap of Correlation Matrix Config Code`_ + +**Rule Chain:** + +- Rules to extract features +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` +- Rule: ``rules/reports.smk/heatmap_features_correlations`` + +.. _figure5-parameters: + +**Parameters of heatmap_features_correlations Rule:** + +======================= ============== +Name Description +======================= ============== +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +min_valid_hours_per_day The minimum valid hours per day. +min_valid_bins_per_hour The minimum valid bins per hour. +corr_method Method of correlation. The available options are ``pearson``, ``kendall`` and ``spearman``. +min_rows_ratio Minimum number of observations required per pair of columns to have a valid correlation coefient. Currently, only available for ``pearson`` and ``spearman`` correlation. +phone_features The list of phone features. +fitbit_features The list of Fitbit features. +corr_threshold Only correlation coefficients larger than ``corr_threshold`` can be shown in the heatmap. +======================= ============== + +**Observations:** + +Columns and rows are features computed in RAPIDS, cells’ color represents the correlation coefficient between all days of data for every pair of feature of all participants. The user can specify a minimum number of observations required to compute the correlation between two features using the ``MIN_ROWS_RATIO`` parameter (0.5 by default). In addition, this plot can be configured to only display correlation coefficients above a threshold using the ``CORR_THRESHOLD`` parameter (0.1 by default). See Figure 5. + +.. figure:: figures/Figure5.png + :scale: 90 % + :align: center + + Figure 5 Correlation matrix heatmap for all the data of all participants + + +.. _`Heatmap of Correlation Matrix Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L211 diff --git a/docs/visualization/heatmap_of_days_by_sensors.rst b/docs/visualization/heatmap_of_days_by_sensors.rst index 8ac2df70..de4102a0 100644 --- a/docs/visualization/heatmap_of_days_by_sensors.rst +++ b/docs/visualization/heatmap_of_days_by_sensors.rst @@ -3,4 +3,39 @@ Heatmap of days by sensors ========================== -In this heatmap rows are sensors, columns are days and cells’ color shows the normalized (0 to 1) number of valid sensed hours (See valid sensed :ref:`bins` and :ref:`days` sections) collected by a sensor during a day for a participant. The user can decide how many days of data to show starting from the first day of each participant. This plot can used to judge missing data on a per participant, per sensor basis as well as the number of valid sensed hours (usable data) for each day. +See `Heatmap of Days by Sensors Config Code`_ + +**Rule Chain:** + +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` +- Rule: ``rules/reports.smk/heatmap_days_by_sensors`` + +.. _figure3-parameters: + +**Parameters of heatmap_days_by_sensors Rule:** + +======================= ======================= +Name Description +======================= ======================= +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +min_valid_hours_per_day The minimum valid hours per day. +min_valid_bins_per_hour The minimum valid bins per hour. +expected_num_of_days The number of days of data to show starting from the first day of each participant. +db_tables List of sensor tables to compute valid bins & hours. +======================= ======================= + +**Observations:** + +In this heatmap rows are sensors, columns are days and cells’ color shows the normalized (0 to 1) number of valid sensed hours (See valid sensed :ref:`bins` and :ref:`days` sections) collected by a sensor during a day for a participant. The user can decide how many days of data to show starting from the first day of each participant. This plot can used to judge missing data on a per participant, per sensor basis as well as the number of valid sensed hours (usable data) for each day. See Figure 3. + +.. figure:: figures/Figure3.png + :scale: 90 % + :align: center + + Figure 3 Heatmap of days by sensors for a participant + + +.. _`Heatmap of Days by Sensors Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L226 diff --git a/docs/visualization/heatmap_of_phone_sensed_bins.rst b/docs/visualization/heatmap_of_phone_sensed_bins.rst index a8e4e98e..da723d69 100644 --- a/docs/visualization/heatmap_of_phone_sensed_bins.rst +++ b/docs/visualization/heatmap_of_phone_sensed_bins.rst @@ -3,4 +3,35 @@ Heatmap of phone sensed bins ============================ -In this heatmap rows are dates, columns are sensed bins for a participant, and cells’ color shows the number of mobile sensors that logged at least one row of data during that bin. This plot shows the periods of time without data for a participant and can be used as a rough indication of whether time-based sensors were following their sensing schedule (e.g. if location was being sensed every 2 minutes). +See `Heatmap of Phone Sensed Bins Config Code`_ + +**Rule Chain:** + +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/reports.smk/heatmap_sensed_bins`` + +.. _figure2-parameters: + +**Parameters of heatmap_sensed_bins Rule:** + +======================= ======================= +Name Description +======================= ======================= +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +bin_size Every hour is divided into N bins of size ``BIN_SIZE`` (in minutes). +======================= ======================= + +**Observations:** + +In this heatmap rows are dates, columns are sensed bins for a participant, and cells’ color shows the number of mobile sensors that logged at least one row of data during that bin. This plot shows the periods of time without data for a participant and can be used as a rough indication of whether time-based sensors were following their sensing schedule (e.g. if location was being sensed every 2 minutes). See Figure 2. + +.. figure:: figures/Figure2.png + :scale: 90 % + :align: center + + Figure 2 Heatmap of phone sensed bins for a single participant + + +.. _`Heatmap of Phone Sensed Bins Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L233 diff --git a/docs/visualization/histogram_of_valid_sensed_hours.rst b/docs/visualization/histogram_of_valid_sensed_hours.rst index 556d7c97..aab2f23b 100644 --- a/docs/visualization/histogram_of_valid_sensed_hours.rst +++ b/docs/visualization/histogram_of_valid_sensed_hours.rst @@ -3,4 +3,37 @@ Histogram of valid sensed hours =============================== -This histogram shows the valid sensed hours of all participants processed in RAPIDS (See valid sensed :ref:`bins` and :ref:`days` sections). It can be used as a rough indication of the AWARE client monitoring coverage during a study for all participants. +See `Histogram of Valid Sensed Hours Config Code`_ + +**Rule Chain:** + +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` +- Rule: ``rules/reports.smk/histogram_valid_sensed_hours`` + +.. _figure1-parameters: + +**Parameters of histogram_valid_sensed_hours Rule:** + +======================= ======================= +Name Description +======================= ======================= +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +min_valid_hours_per_day The minimum valid hours per day. +min_valid_bins_per_hour The minimum valid bins per hour. +======================= ======================= + +**Observations:** + +This histogram shows the valid sensed hours of all participants processed in RAPIDS (See valid sensed :ref:`bins` and :ref:`days` sections). It can be used as a rough indication of the AWARE client monitoring coverage during a study for all participants. See Figure 1. + +.. figure:: figures/Figure1.png + :scale: 90 % + :align: center + + Figure 1 Histogram of valid sensed hours for all participants + + +.. _`Histogram of Valid Sensed Hours Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L221 diff --git a/docs/visualization/overall_compliance_heatmap.rst b/docs/visualization/overall_compliance_heatmap.rst index 5bae5078..f4f91754 100644 --- a/docs/visualization/overall_compliance_heatmap.rst +++ b/docs/visualization/overall_compliance_heatmap.rst @@ -3,4 +3,40 @@ Overall compliance heatmap ========================== -In this heatmap rows are participants, columns are days and cells’ color shows the valid sensed hours for a participant during a day (See valid sensed :ref:`bins` and :ref:`days` sections). This plot can be configured to show a certain number of days before today using the ``EXPECTED_NUM_OF_DAYS`` parameter (by default -1 showing all days for every participant). As different participants might join the study on different dates, the x-axis has a day index instead of a date. This plot gives the user a quick overview of the amount of data collected per person and is complementary to the histogram of valid sensed hours as it is broken down per participant and per day. +See `Overall Compliance Heatmap Config Code`_ + +**Rule Chain:** + +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` +- Rule: ``rules/reports.smk/overall_compliance_heatmap`` + +.. _figure4-parameters: + +**Parameters of overall_compliance_heatmap Rule:** + +======================= ======================= +Name Description +======================= ======================= +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +only_show_valid_days Whether the plot only shows valid days or not. The available options are ``True`` and ``False``. +expected_num_of_days The number of days to show before today. +bin_size Every hour is divided into N bins of size ``BIN_SIZE`` (in minutes). +min_valid_hours_per_day The minimum valid hours per day. +min_valid_bins_per_hour The minimum valid bins per hour. +======================= ======================= + +**Observations:** + +In this heatmap rows are participants, columns are days and cells’ color shows the valid sensed hours for a participant during a day (See valid sensed :ref:`bins` and :ref:`days` sections). This plot can be configured to show a certain number of days before today using the ``EXPECTED_NUM_OF_DAYS`` parameter (by default -1 showing all days for every participant). As different participants might join the study on different dates, the x-axis has a day index instead of a date. This plot gives the user a quick overview of the amount of data collected per person and is complementary to the histogram of valid sensed hours as it is broken down per participant and per day. See Figure 4. + +.. figure:: figures/Figure4.png + :scale: 90 % + :align: center + + Figure 4 Overall compliance heatmap for all participants + + +.. _`Overall Compliance Heatmap Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L237 From ea27d46a05355013ef16ca0b5f481bae52c26c53 Mon Sep 17 00:00:00 2001 From: JulioV Date: Wed, 9 Sep 2020 15:19:05 -0400 Subject: [PATCH 24/37] Update index.rst --- docs/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/index.rst b/docs/index.rst index 4c31d847..c49a1e8d 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -6,7 +6,7 @@ RAPIDS ====== -**R**\ eproducible **A**\ nalysis **Pi**\ pline for **D**\ ata **S**\ treams +**R**\ eproducible **A**\ nalysis **Pi**\ peline for **D**\ ata **S**\ treams Do you want to keep up to date with new functionality or have a question? Join the #rapids channel in AWARE Framework's slack_ From fa74f4012afca39f2880eecefc2588b7136a4a5d Mon Sep 17 00:00:00 2001 From: Meng Li <34143965+Meng6@users.noreply.github.com> Date: Wed, 9 Sep 2020 15:53:35 -0400 Subject: [PATCH 25/37] Update docs: add data_exploration.rst --- docs/index.rst | 6 +- docs/visualization/data_exploration.rst | 216 ++++++++++++++++++ ...of_correlation_matrix_between_features.rst | 45 ---- .../heatmap_of_days_by_sensors.rst | 41 ---- .../heatmap_of_phone_sensed_bins.rst | 37 --- .../histogram_of_valid_sensed_hours.rst | 39 ---- .../overall_compliance_heatmap.rst | 42 ---- 7 files changed, 217 insertions(+), 209 deletions(-) create mode 100644 docs/visualization/data_exploration.rst delete mode 100644 docs/visualization/heatmap_of_correlation_matrix_between_features.rst delete mode 100644 docs/visualization/heatmap_of_days_by_sensors.rst delete mode 100644 docs/visualization/heatmap_of_phone_sensed_bins.rst delete mode 100644 docs/visualization/histogram_of_valid_sensed_hours.rst delete mode 100644 docs/visualization/overall_compliance_heatmap.rst diff --git a/docs/index.rst b/docs/index.rst index c49a1e8d..be5c5551 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -33,11 +33,7 @@ Contents: :maxdepth: 2 :caption: Visualization - visualization/histogram_of_valid_sensed_hours - visualization/heatmap_of_phone_sensed_bins - visualization/heatmap_of_days_by_sensors - visualization/overall_compliance_heatmap - visualization/heatmap_of_correlation_matrix_between_features + visualization/data_exploration .. toctree:: :maxdepth: 2 diff --git a/docs/visualization/data_exploration.rst b/docs/visualization/data_exploration.rst new file mode 100644 index 00000000..89cbbd4b --- /dev/null +++ b/docs/visualization/data_exploration.rst @@ -0,0 +1,216 @@ +.. _data_exploration: + +Data Exploration +================ + +These plots are in beta, if you get an error while computing them please let us know. + +.. _histogram-of-valid-sensed-hours: + +Histogram of valid sensed hours +""""""""""""""""""""""""""""""" + +See `Histogram of Valid Sensed Hours Config Code`_ + +**Rule Chain:** + +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` +- Rule: ``rules/reports.smk/histogram_valid_sensed_hours`` + +.. _figure1-parameters: + +**Parameters of histogram_valid_sensed_hours Rule:** + +======================= ======================= +Name Description +======================= ======================= +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +min_valid_bins_per_hour The minimum valid bins an hour should have to be considered valid. A valid bin has at least 1 row of data. It modifies the way we compute phone valid days. Read :ref:`PHONE_VALID_SENSED_BINS` for more information. +min_valid_hours_per_day The minimum valid hours a day should have to be considered valid. It modifies the way we compute phone valid days. Read :ref:`PHONE_VALID_SENSED_DAYS` for more information. +======================= ======================= + +**Observations:** + +This histogram shows the valid sensed hours of all participants processed in RAPIDS (See valid sensed :ref:`bins` and :ref:`days` sections). It can be used as a rough indication of the AWARE client monitoring coverage during a study for all participants. See Figure 1. + +.. figure:: figures/Figure1.png + :scale: 90 % + :align: center + + Figure 1 Histogram of valid sensed hours for all participants + + +.. _heatmap-of-phone-sensed-bins: + +Heatmap of phone sensed bins +"""""""""""""""""""""""""""" + +See `Heatmap of Phone Sensed Bins Config Code`_ + +**Rule Chain:** + +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/reports.smk/heatmap_sensed_bins`` + +.. _figure2-parameters: + +**Parameters of heatmap_sensed_bins Rule:** + +======================= ======================= +Name Description +======================= ======================= +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +bin_size Every hour is divided into N bins of size ``BIN_SIZE`` (in minutes). It modifies the way we compute ``data/interim/pXX/phone_sensed_bins.csv`` file. +======================= ======================= + +**Observations:** + +In this heatmap rows are dates, columns are sensed bins for a participant, and cells’ color shows the number of mobile sensors that logged at least one row of data during that bin. This plot shows the periods of time without data for a participant and can be used as a rough indication of whether time-based sensors were following their sensing schedule (e.g. if location was being sensed every 2 minutes). See Figure 2. + +.. figure:: figures/Figure2.png + :scale: 90 % + :align: center + + Figure 2 Heatmap of phone sensed bins for a single participant + + +.. _heatmap-of-days-by-sensors + +Heatmap of days by sensors +"""""""""""""""""""""""""" + +See `Heatmap of Days by Sensors Config Code`_ + +**Rule Chain:** + +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` +- Rule: ``rules/reports.smk/heatmap_days_by_sensors`` + +.. _figure3-parameters: + +**Parameters of heatmap_days_by_sensors Rule:** + +======================= ======================= +Name Description +======================= ======================= +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +min_valid_bins_per_hour The minimum valid bins an hour should have to be considered valid. A valid bin has at least 1 row of data. It modifies the way we compute phone valid days. Read :ref:`PHONE_VALID_SENSED_BINS` for more information. +min_valid_hours_per_day The minimum valid hours a day should have to be considered valid. It modifies the way we compute phone valid days. Read :ref:`PHONE_VALID_SENSED_DAYS` for more information. +expected_num_of_days The number of days of data to show starting from the first day of each participant. +db_tables List of sensor tables to compute valid bins & hours. +======================= ======================= + +**Observations:** + +In this heatmap rows are sensors, columns are days and cells’ color shows the normalized (0 to 1) number of valid sensed hours (See valid sensed :ref:`bins` and :ref:`days` sections) collected by a sensor during a day for a participant. The user can decide how many days of data to show starting from the first day of each participant. This plot can used to judge missing data on a per participant, per sensor basis as well as the number of valid sensed hours (usable data) for each day. See Figure 3. + +.. figure:: figures/Figure3.png + :scale: 90 % + :align: center + + Figure 3 Heatmap of days by sensors for a participant + + +.. _overall-compliance-heatmap + +Overall compliance heatmap +"""""""""""""""""""""""""" + +See `Overall Compliance Heatmap Config Code`_ + +**Rule Chain:** + +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` +- Rule: ``rules/reports.smk/overall_compliance_heatmap`` + +.. _figure4-parameters: + +**Parameters of overall_compliance_heatmap Rule:** + +======================= ======================= +Name Description +======================= ======================= +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +only_show_valid_days Whether the plot only shows valid days or not. The available options are ``True`` and ``False``. +expected_num_of_days The number of days to show before today. +bin_size Every hour is divided into N bins of size ``BIN_SIZE`` (in minutes). It modifies the way we compute ``data/interim/pXX/phone_sensed_bins.csv`` file. +min_valid_bins_per_hour The minimum valid bins an hour should have to be considered valid. A valid bin has at least 1 row of data. It modifies the way we compute phone valid days. Read :ref:`PHONE_VALID_SENSED_BINS` for more information. +min_valid_hours_per_day The minimum valid hours a day should have to be considered valid. It modifies the way we compute phone valid days. Read :ref:`PHONE_VALID_SENSED_DAYS` for more information. +======================= ======================= + +**Observations:** + +In this heatmap rows are participants, columns are days and cells’ color shows the valid sensed hours for a participant during a day (See valid sensed :ref:`bins` and :ref:`days` sections). This plot can be configured to show a certain number of days before today using the ``EXPECTED_NUM_OF_DAYS`` parameter (by default -1 showing all days for every participant). As different participants might join the study on different dates, the x-axis has a day index instead of a date. This plot gives the user a quick overview of the amount of data collected per person and is complementary to the histogram of valid sensed hours as it is broken down per participant and per day. See Figure 4. + +.. figure:: figures/Figure4.png + :scale: 90 % + :align: center + + Figure 4 Overall compliance heatmap for all participants + + +.. _heatmap-of-correlation-matrix-between-features + +Heatmap of correlation matrix between features +"""""""""""""""""""""""""""""""""""""""""""""" + +See `Heatmap of Correlation Matrix Config Code`_ + +**Rule Chain:** + +- Rules to extract features +- Rule: ``rules/preprocessing.smk/download_dataset`` +- Rule: ``rules/preprocessing.smk/readable_datetime`` +- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` +- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` +- Rule: ``rules/reports.smk/heatmap_features_correlations`` + +.. _figure5-parameters: + +**Parameters of heatmap_features_correlations Rule:** + +======================= ============== +Name Description +======================= ============== +plot Whether the rule is executed or not. The available options are ``True`` and ``False``. +min_valid_bins_per_hour The minimum valid bins an hour should have to be considered valid. A valid bin has at least 1 row of data. It modifies the way we compute phone valid days. Read :ref:`PHONE_VALID_SENSED_BINS` for more information. +min_valid_hours_per_day The minimum valid hours a day should have to be considered valid. It modifies the way we compute phone valid days. Read :ref:`PHONE_VALID_SENSED_DAYS` for more information. +corr_method Method of correlation. The available options are ``pearson``, ``kendall`` and ``spearman``. +min_rows_ratio Minimum number of observations required per pair of columns to have a valid correlation coefient. Currently, only available for ``pearson`` and ``spearman`` correlation. +phone_features The list of phone features. +fitbit_features The list of Fitbit features. +corr_threshold Only correlation coefficients larger than ``corr_threshold`` can be shown in the heatmap. +======================= ============== + +**Observations:** + +Columns and rows are features computed in RAPIDS, cells’ color represents the correlation coefficient between all days of data for every pair of feature of all participants. The user can specify a minimum number of observations required to compute the correlation between two features using the ``MIN_ROWS_RATIO`` parameter (0.5 by default). In addition, this plot can be configured to only display correlation coefficients above a threshold using the ``CORR_THRESHOLD`` parameter (0.1 by default). See Figure 5. + +.. figure:: figures/Figure5.png + :scale: 90 % + :align: center + + Figure 5 Correlation matrix heatmap for all the data of all participants + + + + + + + +.. _`Histogram of Valid Sensed Hours Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L221 +.. _`Heatmap of Phone Sensed Bins Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L233 +.. _`Heatmap of Days by Sensors Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L226 +.. _`Overall Compliance Heatmap Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L237 +.. _`Heatmap of Correlation Matrix Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L211 diff --git a/docs/visualization/heatmap_of_correlation_matrix_between_features.rst b/docs/visualization/heatmap_of_correlation_matrix_between_features.rst deleted file mode 100644 index aac79d40..00000000 --- a/docs/visualization/heatmap_of_correlation_matrix_between_features.rst +++ /dev/null @@ -1,45 +0,0 @@ -.. _heatmap-of-correlation-matrix-between-features - -Heatmap of correlation matrix between features -============================================== - -See `Heatmap of Correlation Matrix Config Code`_ - -**Rule Chain:** - -- Rules to extract features -- Rule: ``rules/preprocessing.smk/download_dataset`` -- Rule: ``rules/preprocessing.smk/readable_datetime`` -- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` -- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` -- Rule: ``rules/reports.smk/heatmap_features_correlations`` - -.. _figure5-parameters: - -**Parameters of heatmap_features_correlations Rule:** - -======================= ============== -Name Description -======================= ============== -plot Whether the rule is executed or not. The available options are ``True`` and ``False``. -min_valid_hours_per_day The minimum valid hours per day. -min_valid_bins_per_hour The minimum valid bins per hour. -corr_method Method of correlation. The available options are ``pearson``, ``kendall`` and ``spearman``. -min_rows_ratio Minimum number of observations required per pair of columns to have a valid correlation coefient. Currently, only available for ``pearson`` and ``spearman`` correlation. -phone_features The list of phone features. -fitbit_features The list of Fitbit features. -corr_threshold Only correlation coefficients larger than ``corr_threshold`` can be shown in the heatmap. -======================= ============== - -**Observations:** - -Columns and rows are features computed in RAPIDS, cells’ color represents the correlation coefficient between all days of data for every pair of feature of all participants. The user can specify a minimum number of observations required to compute the correlation between two features using the ``MIN_ROWS_RATIO`` parameter (0.5 by default). In addition, this plot can be configured to only display correlation coefficients above a threshold using the ``CORR_THRESHOLD`` parameter (0.1 by default). See Figure 5. - -.. figure:: figures/Figure5.png - :scale: 90 % - :align: center - - Figure 5 Correlation matrix heatmap for all the data of all participants - - -.. _`Heatmap of Correlation Matrix Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L211 diff --git a/docs/visualization/heatmap_of_days_by_sensors.rst b/docs/visualization/heatmap_of_days_by_sensors.rst deleted file mode 100644 index de4102a0..00000000 --- a/docs/visualization/heatmap_of_days_by_sensors.rst +++ /dev/null @@ -1,41 +0,0 @@ -.. _heatmap-of-days-by-sensors - -Heatmap of days by sensors -========================== - -See `Heatmap of Days by Sensors Config Code`_ - -**Rule Chain:** - -- Rule: ``rules/preprocessing.smk/download_dataset`` -- Rule: ``rules/preprocessing.smk/readable_datetime`` -- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` -- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` -- Rule: ``rules/reports.smk/heatmap_days_by_sensors`` - -.. _figure3-parameters: - -**Parameters of heatmap_days_by_sensors Rule:** - -======================= ======================= -Name Description -======================= ======================= -plot Whether the rule is executed or not. The available options are ``True`` and ``False``. -min_valid_hours_per_day The minimum valid hours per day. -min_valid_bins_per_hour The minimum valid bins per hour. -expected_num_of_days The number of days of data to show starting from the first day of each participant. -db_tables List of sensor tables to compute valid bins & hours. -======================= ======================= - -**Observations:** - -In this heatmap rows are sensors, columns are days and cells’ color shows the normalized (0 to 1) number of valid sensed hours (See valid sensed :ref:`bins` and :ref:`days` sections) collected by a sensor during a day for a participant. The user can decide how many days of data to show starting from the first day of each participant. This plot can used to judge missing data on a per participant, per sensor basis as well as the number of valid sensed hours (usable data) for each day. See Figure 3. - -.. figure:: figures/Figure3.png - :scale: 90 % - :align: center - - Figure 3 Heatmap of days by sensors for a participant - - -.. _`Heatmap of Days by Sensors Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L226 diff --git a/docs/visualization/heatmap_of_phone_sensed_bins.rst b/docs/visualization/heatmap_of_phone_sensed_bins.rst deleted file mode 100644 index da723d69..00000000 --- a/docs/visualization/heatmap_of_phone_sensed_bins.rst +++ /dev/null @@ -1,37 +0,0 @@ -.. _heatmap-of-phone-sensed-bins: - -Heatmap of phone sensed bins -============================ - -See `Heatmap of Phone Sensed Bins Config Code`_ - -**Rule Chain:** - -- Rule: ``rules/preprocessing.smk/download_dataset`` -- Rule: ``rules/preprocessing.smk/readable_datetime`` -- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` -- Rule: ``rules/reports.smk/heatmap_sensed_bins`` - -.. _figure2-parameters: - -**Parameters of heatmap_sensed_bins Rule:** - -======================= ======================= -Name Description -======================= ======================= -plot Whether the rule is executed or not. The available options are ``True`` and ``False``. -bin_size Every hour is divided into N bins of size ``BIN_SIZE`` (in minutes). -======================= ======================= - -**Observations:** - -In this heatmap rows are dates, columns are sensed bins for a participant, and cells’ color shows the number of mobile sensors that logged at least one row of data during that bin. This plot shows the periods of time without data for a participant and can be used as a rough indication of whether time-based sensors were following their sensing schedule (e.g. if location was being sensed every 2 minutes). See Figure 2. - -.. figure:: figures/Figure2.png - :scale: 90 % - :align: center - - Figure 2 Heatmap of phone sensed bins for a single participant - - -.. _`Heatmap of Phone Sensed Bins Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L233 diff --git a/docs/visualization/histogram_of_valid_sensed_hours.rst b/docs/visualization/histogram_of_valid_sensed_hours.rst deleted file mode 100644 index aab2f23b..00000000 --- a/docs/visualization/histogram_of_valid_sensed_hours.rst +++ /dev/null @@ -1,39 +0,0 @@ -.. _histogram-of-valid-sensed-hours: - -Histogram of valid sensed hours -=============================== - -See `Histogram of Valid Sensed Hours Config Code`_ - -**Rule Chain:** - -- Rule: ``rules/preprocessing.smk/download_dataset`` -- Rule: ``rules/preprocessing.smk/readable_datetime`` -- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` -- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` -- Rule: ``rules/reports.smk/histogram_valid_sensed_hours`` - -.. _figure1-parameters: - -**Parameters of histogram_valid_sensed_hours Rule:** - -======================= ======================= -Name Description -======================= ======================= -plot Whether the rule is executed or not. The available options are ``True`` and ``False``. -min_valid_hours_per_day The minimum valid hours per day. -min_valid_bins_per_hour The minimum valid bins per hour. -======================= ======================= - -**Observations:** - -This histogram shows the valid sensed hours of all participants processed in RAPIDS (See valid sensed :ref:`bins` and :ref:`days` sections). It can be used as a rough indication of the AWARE client monitoring coverage during a study for all participants. See Figure 1. - -.. figure:: figures/Figure1.png - :scale: 90 % - :align: center - - Figure 1 Histogram of valid sensed hours for all participants - - -.. _`Histogram of Valid Sensed Hours Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L221 diff --git a/docs/visualization/overall_compliance_heatmap.rst b/docs/visualization/overall_compliance_heatmap.rst deleted file mode 100644 index f4f91754..00000000 --- a/docs/visualization/overall_compliance_heatmap.rst +++ /dev/null @@ -1,42 +0,0 @@ -.. _overall-compliance-heatmap - -Overall compliance heatmap -========================== - -See `Overall Compliance Heatmap Config Code`_ - -**Rule Chain:** - -- Rule: ``rules/preprocessing.smk/download_dataset`` -- Rule: ``rules/preprocessing.smk/readable_datetime`` -- Rule: ``rules/preprocessing.smk/phone_sensed_bins`` -- Rule: ``rules/preprocessing.smk/phone_valid_sensed_days`` -- Rule: ``rules/reports.smk/overall_compliance_heatmap`` - -.. _figure4-parameters: - -**Parameters of overall_compliance_heatmap Rule:** - -======================= ======================= -Name Description -======================= ======================= -plot Whether the rule is executed or not. The available options are ``True`` and ``False``. -only_show_valid_days Whether the plot only shows valid days or not. The available options are ``True`` and ``False``. -expected_num_of_days The number of days to show before today. -bin_size Every hour is divided into N bins of size ``BIN_SIZE`` (in minutes). -min_valid_hours_per_day The minimum valid hours per day. -min_valid_bins_per_hour The minimum valid bins per hour. -======================= ======================= - -**Observations:** - -In this heatmap rows are participants, columns are days and cells’ color shows the valid sensed hours for a participant during a day (See valid sensed :ref:`bins` and :ref:`days` sections). This plot can be configured to show a certain number of days before today using the ``EXPECTED_NUM_OF_DAYS`` parameter (by default -1 showing all days for every participant). As different participants might join the study on different dates, the x-axis has a day index instead of a date. This plot gives the user a quick overview of the amount of data collected per person and is complementary to the histogram of valid sensed hours as it is broken down per participant and per day. See Figure 4. - -.. figure:: figures/Figure4.png - :scale: 90 % - :align: center - - Figure 4 Overall compliance heatmap for all participants - - -.. _`Overall Compliance Heatmap Config Code`: https://github.com/carissalow/rapids/blob/master/config.yaml#L237 From 364f22f9876d9a85213c3466d3535d6f52e6db9f Mon Sep 17 00:00:00 2001 From: JulioV Date: Thu, 10 Sep 2020 09:41:47 -0400 Subject: [PATCH 26/37] Update docs, remote support and doc editing --- docs/develop/documentation.rst | 22 ++++++++++------------ docs/develop/remotesupport.rst | 16 ++++++++++++++++ docs/index.rst | 1 + 3 files changed, 27 insertions(+), 12 deletions(-) create mode 100644 docs/develop/remotesupport.rst diff --git a/docs/develop/documentation.rst b/docs/develop/documentation.rst index 490601c9..cd9dc06c 100644 --- a/docs/develop/documentation.rst +++ b/docs/develop/documentation.rst @@ -1,17 +1,21 @@ How to Edit Documentation ============================ -The following is a basic guide for editing the documentation for this project. The documentation is rendered using Sphinx_ documentation builder. This guide is intended to be a basic guide that will allow a contributer to start editing the documentation for the RAPIDS Pipeline. The first step is to install Sphinx. +The following is a basic guide for editing the documentation for this project. The documentation is rendered using Sphinx_ documentation builder -Mac OS +Quick start up +---------------------------------- - - ``brew install sphinx-doc`` +#. Install Sphinx in Mac OS ``brew install sphinx-doc`` or Linux (Ubuntu) ``apt-get install python3-sphinx`` -Linux (Ubuntu) +#. Go to the docs folder ``cd docs`` - - ``apt-get install python3-sphinx`` +#. Change any ``.rst`` file you need to modify + +#. To visualise the results locally do ``make dirhtml`` and check the html files in the ``_build/dirhtml`` directory + +#. When you are done, push your changes to the git repo. -Sphinx is a tool that translates a set of reStructuredText_ source files into various output formats such as HTML and PDF, automatically producing cross-references, indices, etc. The following is a basic outline of structure of Sphinx workspace and the syntax of reStructuredText. Sphinx Workspace Structure ---------------------------- @@ -34,12 +38,6 @@ Thus the directory structure for the above example is shown below:: ├── introduction.rst └── installation.rst -Once the ``index.rst`` has been editted and content has been added and/or editted the documentation is built using the following command:: - - $ make dirhtml - -This command creates the ``_build`` directory which contains the generated HTML files of the documentation. It shoould be noted that once you have pushed your change to the repository the changes will be published even if you have not run ``make dirhtml`` - Basic reStructuredText Syntax ------------------------------- diff --git a/docs/develop/remotesupport.rst b/docs/develop/remotesupport.rst new file mode 100644 index 00000000..213b1420 --- /dev/null +++ b/docs/develop/remotesupport.rst @@ -0,0 +1,16 @@ +Remote Support +====================================== + +We use the Live Share extension of Visual Studio Code to debug bugs when sharing data or database credentials is not possible. + +#. Install `Visual Studio Code `_ + +#. Open you rapids folder in a new VSCode window + +#. Open a new Terminal ``Terminal > New terminal`` + +#. Install the `Live Share extension pack `_ + +#. Press ``Ctrl+P``/``Cmd+P`` and run this command ``>live share: start collaboration session`` + +#. Follow the instructions and share the session link you receive \ No newline at end of file diff --git a/docs/index.rst b/docs/index.rst index be5c5551..9eb010f7 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -39,6 +39,7 @@ Contents: :maxdepth: 2 :caption: Developers + develop/remotesupport develop/documentation develop/features develop/environments From 5f86d41f09f0d876c0ab96efc7c011d23a8028fb Mon Sep 17 00:00:00 2001 From: JulioV Date: Thu, 10 Sep 2020 10:58:47 -0400 Subject: [PATCH 27/37] Update example analysis docs --- docs/usage/example.rst | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/usage/example.rst b/docs/usage/example.rst index 73cf9413..79be53ac 100644 --- a/docs/usage/example.rst +++ b/docs/usage/example.rst @@ -26,6 +26,8 @@ This is a quick guide for creating and running a simple pipeline to analysis an #. Make sure your conda environment is active (the environment is already active in our docker container). See step 6 of :ref:`install-page`. +#. If you installed RAPIDS from GitHub (did not use docker) you need to download the `example db backup `_ and save it to ``data/external/rapids_example.sql``. + #. Run the following command to restore database from ``rapids_example.sql`` file:: snakemake -j1 restore_sql_file From ca1821e314ce2d9345ab0fd3473faab04f0ea13e Mon Sep 17 00:00:00 2001 From: kaguillera Date: Thu, 10 Sep 2020 14:31:23 -0400 Subject: [PATCH 28/37] Attempt to only build docker when master + push --- .travis.yml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.travis.yml b/.travis.yml index 3750090f..19d9dedf 100644 --- a/.travis.yml +++ b/.travis.yml @@ -83,6 +83,12 @@ jobs: branches: only: - master + +stages: + - name: deploy + if: branch = master AND \ + type = push + notifications: email: false slack: From 06bb2b9c736fca6505eeb2dd0a06e29c456389ce Mon Sep 17 00:00:00 2001 From: JulioV Date: Fri, 18 Sep 2020 11:26:10 -0400 Subject: [PATCH 29/37] Fix accuracy bug in barnett location features --- src/features/location_barnett_features.R | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/src/features/location_barnett_features.R b/src/features/location_barnett_features.R index 94e99593..b90aa039 100644 --- a/src/features/location_barnett_features.R +++ b/src/features/location_barnett_features.R @@ -68,8 +68,12 @@ if (nrow(location) > 1){ location <- location %>% select(timestamp, latitude = double_latitude, longitude = double_longitude, altitude = double_altitude, accuracy) - - outputMobility <- MobilityFeatures(location, ACCURACY_LIM = accuracy_limit, tz = timezone) + if(nrow(location %>% filter(accuracy < accuracy_limit)) > 1){ + outputMobility <- MobilityFeatures(location, ACCURACY_LIM = accuracy_limit, tz = timezone) + } else { + print(paste("Cannot compute location features because there are no rows with an accuracy value lower than ACCURACY_LIMIT", accuracy_limit)) + outputMobility <- NULL + } if(is.null(outputMobility)){ write_empty_file(snakemake@output[[1]], requested_features) From 47ab0a2ce50f0756f60edaa53f50e1c063760184 Mon Sep 17 00:00:00 2001 From: JulioV Date: Mon, 21 Sep 2020 10:28:42 -0400 Subject: [PATCH 30/37] Fix phone_sensed_bins when there is no data --- src/data/phone_sensed_bins.R | 35 ++++++++++++++++++++--------------- 1 file changed, 20 insertions(+), 15 deletions(-) diff --git a/src/data/phone_sensed_bins.R b/src/data/phone_sensed_bins.R index de87a5f7..58d76dad 100644 --- a/src/data/phone_sensed_bins.R +++ b/src/data/phone_sensed_bins.R @@ -17,19 +17,24 @@ for(sensor in all_sensors){ all_sensor_data <- rbind(all_sensor_data, sensor_data) } -phone_sensed_bins <- all_sensor_data %>% - mutate(bin = (local_minute %/% bin_size) * bin_size) %>% # bin rows into bin_size-minute bins - group_by(local_date, local_hour, bin) %>% - summarise(sensor_count = n_distinct(sensor)) %>% - ungroup() %>% - mutate(local_date = lubridate::ymd(local_date)) %>% - complete(local_date = seq.Date(min(local_date), max(local_date), by="day"), - fill = list(local_hour = 0, bin = 0, sensor_count = 0)) %>% - complete(nesting(local_date), - local_hour = seq(0, 23, 1), - bin = seq(0, (59 %/% bin_size) * bin_size, bin_size), - fill = list(sensor_count=0)) %>% - pivot_wider(names_from = c(local_hour, bin), values_from = sensor_count) - -write.csv(phone_sensed_bins, output_file, row.names = FALSE) +if(nrow(all_sensor_data) == 0){ + bins = seq(0, 59, by = bin_size) + hours = seq(0, 23, 1) + write.csv(crossing(hours, bins) %>% unite("hour_bin",hours, bins, sep = "_") %>% mutate(value = NA, local_date = NA) %>% pivot_wider(names_from = hour_bin, values_from=value) %>% head(0), output_file, row.names = FALSE) +} else{ + phone_sensed_bins <- all_sensor_data %>% + mutate(bin = (local_minute %/% bin_size) * bin_size) %>% # bin rows into bin_size-minute bins + group_by(local_date, local_hour, bin) %>% + summarise(sensor_count = n_distinct(sensor)) %>% + ungroup() %>% + mutate(local_date = lubridate::ymd(local_date)) %>% + complete(local_date = seq.Date(min(local_date), max(local_date), by="day"), + fill = list(local_hour = 0, bin = 0, sensor_count = 0)) %>% + complete(nesting(local_date), + local_hour = seq(0, 23, 1), + bin = seq(0, 59, bin_size), + fill = list(sensor_count=0)) %>% + pivot_wider(names_from = c(local_hour, bin), values_from = sensor_count) + write.csv(phone_sensed_bins, output_file, row.names = FALSE) +} From 4f64f7eeefec657d5b678df628b9134fe4e545ca Mon Sep 17 00:00:00 2001 From: nikunjgoel95 Date: Mon, 28 Sep 2020 15:02:03 -0400 Subject: [PATCH 31/37] Fix the bug on ClusterAndLabel when recieving empty data. --- src/features/location_doryab/location_base.py | 105 ++++++++++++------ src/features/location_doryab_features.py | 5 +- 2 files changed, 77 insertions(+), 33 deletions(-) diff --git a/src/features/location_doryab/location_base.py b/src/features/location_doryab/location_base.py index 6e7ddd0e..15b242b9 100644 --- a/src/features/location_doryab/location_base.py +++ b/src/features/location_doryab/location_base.py @@ -9,7 +9,7 @@ def base_location_features(location_data, day_segment, requested_features, dbsca base_features_names = ["locationvariance","loglocationvariance","totaldistance","averagespeed","varspeed","circadianmovement","numberofsignificantplaces","numberlocationtransitions","radiusgyration","timeattop1location","timeattop2location","timeattop3location","movingtostaticratio","outlierstimepercent","maxlengthstayatclusters","minlengthstayatclusters","meanlengthstayatclusters","stdlengthstayatclusters","locationentropy","normalizedlocationentropy","minutesdataused"] # the subset of requested features this function can compute features_to_compute = list(set(requested_features) & set(base_features_names)) - + dataEmptyFlag = 0 if location_data.empty: location_features = pd.DataFrame(columns=["local_date"] + ["location_" + day_segment + "_" + x for x in features_to_compute]) @@ -33,6 +33,9 @@ def base_location_features(location_data, day_segment, requested_features, dbsca location_data = location_data[(location_data['double_latitude']!=0.0) & (location_data['double_longitude']!=0.0)] + if location_data.empty: + dataEmptyFlag = 1 + if "locationvariance" in features_to_compute: location_features["location_" + day_segment + "_locationvariance"] = location_data.groupby(['local_date'])['double_latitude'].var() + location_data.groupby(['local_date'])['double_longitude'].var() @@ -47,88 +50,126 @@ def base_location_features(location_data, day_segment, requested_features, dbsca preComputedDistanceandSpeed.loc[localDate,"avgspeed"] = speeddf[speeddf['speedTag'] == 'Moving']['speed'].mean() preComputedDistanceandSpeed.loc[localDate,"varspeed"] = speeddf[speeddf['speedTag'] == 'Moving']['speed'].var() - if "totaldistance" in features_to_compute: + if "totaldistance" in features_to_compute and dataEmptyFlag==0: for localDate in location_data['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_totaldistance"] = preComputedDistanceandSpeed.loc[localDate,"distance"] + else: + location_features["location_" + day_segment + "_totaldistance"] = 0 - if "averagespeed" in features_to_compute: + if "averagespeed" in features_to_compute and dataEmptyFlag==0: for localDate in location_data['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_averagespeed"] = preComputedDistanceandSpeed.loc[localDate,"avgspeed"] + else: + location_features["location_" + day_segment + "_averagespeed"] = 0 - if "varspeed" in features_to_compute: + if "varspeed" in features_to_compute and dataEmptyFlag==0: for localDate in location_data['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_varspeed"] = preComputedDistanceandSpeed.loc[localDate,"varspeed"] + else: + location_features["location_" + day_segment + "_varspeed"] = 0 - if "circadianmovement" in features_to_compute: + if "circadianmovement" in features_to_compute and dataEmptyFlag==0: for localDate in location_data['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_circadianmovement"] = circadian_movement(location_data[location_data['local_date']==localDate]) + else: + location_features["location_" + day_segment + "_circadianmovement"] = 0 - newLocationData = cluster_and_label(location_data, eps= distance_to_degrees(dbscan_eps), min_samples=dbscan_minsamples) + if dataEmptyFlag==0: + newLocationData = cluster_and_label(location_data, eps= distance_to_degrees(dbscan_eps), min_samples=dbscan_minsamples) - if "numberofsignificantplaces" in features_to_compute: + if "numberofsignificantplaces" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_numberofsignificantplaces"] = number_of_significant_places(newLocationData[newLocationData['local_date']==localDate]) + else: + location_features["location_" + day_segment + "_numberofsignificantplaces"] = 0 - if "numberlocationtransitions" in features_to_compute: + if "numberlocationtransitions" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_numberlocationtransitions"] = number_location_transitions(newLocationData[newLocationData['local_date']==localDate]) - - if "radiusgyration" in features_to_compute: + else: + location_features["location_" + day_segment + "_numberlocationtransitions"] = 0 + + if "radiusgyration" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_radiusgyration"] = radius_of_gyration(newLocationData[newLocationData['local_date']==localDate],sampling_frequency) + else: + location_features["location_" + day_segment + "_radiusgyration"] = 0 - if "timeattop1location" in features_to_compute: + if "timeattop1location" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_timeattop1location"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],1,sampling_frequency) + else: + location_features["location_" + day_segment + "_timeattop1location"] = 0 - if "timeattop2location" in features_to_compute: + if "timeattop2location" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_timeattop2location"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],2,sampling_frequency) - - if "timeattop3location" in features_to_compute: + else: + location_features["location_" + day_segment + "_timeattop2location"] = 0 + + if "timeattop3location" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_timeattop3location"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],3,sampling_frequency) + else: + location_features["location_" + day_segment + "_timeattop3location"] = 0 - if "movingtostaticratio" in features_to_compute: + if "movingtostaticratio" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_movingtostaticratio"] = (newLocationData[newLocationData['local_date']==localDate].shape[0]*sampling_frequency) / (location_data[location_data['local_date']==localDate].shape[0] * sampling_frequency) - - if "outlierstimepercent" in features_to_compute: + else: + location_features["location_" + day_segment + "_movingtostaticratio"] = 0 + + if "outlierstimepercent" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_outlierstimepercent"] = outliers_time_percent(newLocationData[newLocationData['local_date']==localDate],sampling_frequency) + else: + location_features["location_" + day_segment + "_outlierstimepercent"] = 0 - preComputedmaxminCluster = pd.DataFrame() - for localDate in newLocationData['local_date'].unique(): - smax, smin, sstd,smean = len_stay_at_clusters_in_minutes(newLocationData[newLocationData['local_date']==localDate],sampling_frequency) - preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_maxlengthstayatclusters"] = smax - preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_minlengthstayatclusters"] = smin - preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_stdlengthstayatclusters"] = sstd - preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_meanlengthstayatclusters"] = smean + if dataEmptyFlag==0: + preComputedmaxminCluster = pd.DataFrame() + for localDate in newLocationData['local_date'].unique(): + smax, smin, sstd,smean = len_stay_at_clusters_in_minutes(newLocationData[newLocationData['local_date']==localDate],sampling_frequency) + preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_maxlengthstayatclusters"] = smax + preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_minlengthstayatclusters"] = smin + preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_stdlengthstayatclusters"] = sstd + preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_meanlengthstayatclusters"] = smean - if "maxlengthstayatclusters" in features_to_compute: + if "maxlengthstayatclusters" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_maxlengthstayatclusters"] = preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_maxlengthstayatclusters"] - - if "minlengthstayatclusters" in features_to_compute: + else: + location_features["location_" + day_segment + "_maxlengthstayatclusters"] = 0 + + if "minlengthstayatclusters" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_minlengthstayatclusters"] = preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_minlengthstayatclusters"] + else: + location_features["location_" + day_segment + "_minlengthstayatclusters"] = 0 - if "stdlengthstayatclusters" in features_to_compute: + if "stdlengthstayatclusters" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_stdlengthstayatclusters"] = preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_stdlengthstayatclusters"] + else: + location_features["location_" + day_segment + "_stdlengthstayatclusters"] = 0 - if "meanlengthstayatclusters" in features_to_compute: + if "meanlengthstayatclusters" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_meanlengthstayatclusters"] = preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_meanlengthstayatclusters"] + else: + location_features["location_" + day_segment + "_meanlengthstayatclusters"] = 0 - if "locationentropy" in features_to_compute: + if "locationentropy" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_locationentropy"] = location_entropy(newLocationData[newLocationData['local_date']==localDate]) + else: + location_features["location_" + day_segment + "_locationentropy"] = 0 - if "normalizedlocationentropy" in features_to_compute: + if "normalizedlocationentropy" in features_to_compute and dataEmptyFlag==0: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_normalizedlocationentropy"] = location_entropy_normalized(newLocationData[newLocationData['local_date']==localDate]) - + else: + location_features["location_" + day_segment + "_normalizedlocationentropy"] = 0 + location_features = location_features.reset_index() return location_features diff --git a/src/features/location_doryab_features.py b/src/features/location_doryab_features.py index 8d749483..feb1fea0 100644 --- a/src/features/location_doryab_features.py +++ b/src/features/location_doryab_features.py @@ -17,7 +17,10 @@ if(minutes_data_used): base_features = base_location_features(location_data, day_segment, requested_features, dbscan_eps, dbscan_minsamples,threshold_static,maximum_gap_allowed,sampling_frequency) -location_features = location_features.merge(base_features, on="local_date", how="outer") +if base_features.empty: + location_features = base_features +else: + location_features = location_features.merge(base_features, on="local_date", how="outer") assert len(requested_features) + 1 == location_features.shape[1], "The number of features in the output dataframe (=" + str(location_features.shape[1]) + ") does not match the expected value (=" + str(len(requested_features)) + " + 1). Verify your location feature extraction functions" From d99775567db0acb7c48f283b7b86be7b1cebc948 Mon Sep 17 00:00:00 2001 From: JulioV Date: Wed, 30 Sep 2020 11:21:04 -0400 Subject: [PATCH 32/37] Fix test bettery bug --- tests/data/raw/test01/battery_raw.csv | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/data/raw/test01/battery_raw.csv b/tests/data/raw/test01/battery_raw.csv index b9a6d337..9295393d 100644 --- a/tests/data/raw/test01/battery_raw.csv +++ b/tests/data/raw/test01/battery_raw.csv @@ -13,7 +13,7 @@ timestamp,device_id,battery_status,battery_level,battery_scale,battery_voltage,b 1593597450123,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,3,80,100,4170,23,0,2,Li-ion 1593597589435,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,3,79,100,4094,23,0,2,Li-ion - + 1593597739321,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,3,78,100,4157,23,0,2,Li-ion 1593597872456,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,3,77,100,4157,23,0,2,Li-ion From 80ff3f42296fce38b4063a759aab88dd016cc3f7 Mon Sep 17 00:00:00 2001 From: nikunjgoel95 Date: Thu, 1 Oct 2020 11:34:41 -0400 Subject: [PATCH 33/37] Cleaning the Doryab location features code to fix the bug of Emoty dataframe in ClusterAndLabel --- src/features/location_doryab/location_base.py | 94 ++++++------------- src/features/location_doryab_features.py | 5 +- 2 files changed, 30 insertions(+), 69 deletions(-) diff --git a/src/features/location_doryab/location_base.py b/src/features/location_doryab/location_base.py index 15b242b9..6d29bc04 100644 --- a/src/features/location_doryab/location_base.py +++ b/src/features/location_doryab/location_base.py @@ -34,7 +34,9 @@ def base_location_features(location_data, day_segment, requested_features, dbsca location_data = location_data[(location_data['double_latitude']!=0.0) & (location_data['double_longitude']!=0.0)] if location_data.empty: - dataEmptyFlag = 1 + location_features = pd.DataFrame(columns=["local_date"] + ["location_" + day_segment + "_" + x for x in features_to_compute]) + location_features = location_features.reset_index(drop=True) + return location_features if "locationvariance" in features_to_compute: location_features["location_" + day_segment + "_locationvariance"] = location_data.groupby(['local_date'])['double_latitude'].var() + location_data.groupby(['local_date'])['double_longitude'].var() @@ -50,125 +52,87 @@ def base_location_features(location_data, day_segment, requested_features, dbsca preComputedDistanceandSpeed.loc[localDate,"avgspeed"] = speeddf[speeddf['speedTag'] == 'Moving']['speed'].mean() preComputedDistanceandSpeed.loc[localDate,"varspeed"] = speeddf[speeddf['speedTag'] == 'Moving']['speed'].var() - if "totaldistance" in features_to_compute and dataEmptyFlag==0: + if "totaldistance" in features_to_compute: for localDate in location_data['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_totaldistance"] = preComputedDistanceandSpeed.loc[localDate,"distance"] - else: - location_features["location_" + day_segment + "_totaldistance"] = 0 - if "averagespeed" in features_to_compute and dataEmptyFlag==0: + if "averagespeed" in features_to_compute: for localDate in location_data['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_averagespeed"] = preComputedDistanceandSpeed.loc[localDate,"avgspeed"] - else: - location_features["location_" + day_segment + "_averagespeed"] = 0 - if "varspeed" in features_to_compute and dataEmptyFlag==0: + if "varspeed" in features_to_compute: for localDate in location_data['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_varspeed"] = preComputedDistanceandSpeed.loc[localDate,"varspeed"] - else: - location_features["location_" + day_segment + "_varspeed"] = 0 - if "circadianmovement" in features_to_compute and dataEmptyFlag==0: + if "circadianmovement" in features_to_compute: for localDate in location_data['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_circadianmovement"] = circadian_movement(location_data[location_data['local_date']==localDate]) - else: - location_features["location_" + day_segment + "_circadianmovement"] = 0 - if dataEmptyFlag==0: - newLocationData = cluster_and_label(location_data, eps= distance_to_degrees(dbscan_eps), min_samples=dbscan_minsamples) + newLocationData = cluster_and_label(location_data, eps= distance_to_degrees(dbscan_eps), min_samples=dbscan_minsamples) - if "numberofsignificantplaces" in features_to_compute and dataEmptyFlag==0: + if "numberofsignificantplaces" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_numberofsignificantplaces"] = number_of_significant_places(newLocationData[newLocationData['local_date']==localDate]) - else: - location_features["location_" + day_segment + "_numberofsignificantplaces"] = 0 - if "numberlocationtransitions" in features_to_compute and dataEmptyFlag==0: + if "numberlocationtransitions" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_numberlocationtransitions"] = number_location_transitions(newLocationData[newLocationData['local_date']==localDate]) - else: - location_features["location_" + day_segment + "_numberlocationtransitions"] = 0 - if "radiusgyration" in features_to_compute and dataEmptyFlag==0: + if "radiusgyration" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_radiusgyration"] = radius_of_gyration(newLocationData[newLocationData['local_date']==localDate],sampling_frequency) - else: - location_features["location_" + day_segment + "_radiusgyration"] = 0 - if "timeattop1location" in features_to_compute and dataEmptyFlag==0: + if "timeattop1location" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_timeattop1location"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],1,sampling_frequency) - else: - location_features["location_" + day_segment + "_timeattop1location"] = 0 - if "timeattop2location" in features_to_compute and dataEmptyFlag==0: + if "timeattop2location" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_timeattop2location"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],2,sampling_frequency) - else: - location_features["location_" + day_segment + "_timeattop2location"] = 0 - if "timeattop3location" in features_to_compute and dataEmptyFlag==0: + if "timeattop3location" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_timeattop3location"] = time_at_topn_clusters_in_group(newLocationData[newLocationData['local_date']==localDate],3,sampling_frequency) - else: - location_features["location_" + day_segment + "_timeattop3location"] = 0 - if "movingtostaticratio" in features_to_compute and dataEmptyFlag==0: + if "movingtostaticratio" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_movingtostaticratio"] = (newLocationData[newLocationData['local_date']==localDate].shape[0]*sampling_frequency) / (location_data[location_data['local_date']==localDate].shape[0] * sampling_frequency) - else: - location_features["location_" + day_segment + "_movingtostaticratio"] = 0 - if "outlierstimepercent" in features_to_compute and dataEmptyFlag==0: + if "outlierstimepercent" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_outlierstimepercent"] = outliers_time_percent(newLocationData[newLocationData['local_date']==localDate],sampling_frequency) - else: - location_features["location_" + day_segment + "_outlierstimepercent"] = 0 - if dataEmptyFlag==0: - preComputedmaxminCluster = pd.DataFrame() - for localDate in newLocationData['local_date'].unique(): - smax, smin, sstd,smean = len_stay_at_clusters_in_minutes(newLocationData[newLocationData['local_date']==localDate],sampling_frequency) - preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_maxlengthstayatclusters"] = smax - preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_minlengthstayatclusters"] = smin - preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_stdlengthstayatclusters"] = sstd - preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_meanlengthstayatclusters"] = smean + preComputedmaxminCluster = pd.DataFrame() + for localDate in newLocationData['local_date'].unique(): + smax, smin, sstd,smean = len_stay_at_clusters_in_minutes(newLocationData[newLocationData['local_date']==localDate],sampling_frequency) + preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_maxlengthstayatclusters"] = smax + preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_minlengthstayatclusters"] = smin + preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_stdlengthstayatclusters"] = sstd + preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_meanlengthstayatclusters"] = smean - if "maxlengthstayatclusters" in features_to_compute and dataEmptyFlag==0: + if "maxlengthstayatclusters" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_maxlengthstayatclusters"] = preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_maxlengthstayatclusters"] - else: - location_features["location_" + day_segment + "_maxlengthstayatclusters"] = 0 - if "minlengthstayatclusters" in features_to_compute and dataEmptyFlag==0: + if "minlengthstayatclusters" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_minlengthstayatclusters"] = preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_minlengthstayatclusters"] - else: - location_features["location_" + day_segment + "_minlengthstayatclusters"] = 0 - if "stdlengthstayatclusters" in features_to_compute and dataEmptyFlag==0: + if "stdlengthstayatclusters" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_stdlengthstayatclusters"] = preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_stdlengthstayatclusters"] - else: - location_features["location_" + day_segment + "_stdlengthstayatclusters"] = 0 - if "meanlengthstayatclusters" in features_to_compute and dataEmptyFlag==0: + if "meanlengthstayatclusters" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_meanlengthstayatclusters"] = preComputedmaxminCluster.loc[localDate,"location_" + day_segment + "_meanlengthstayatclusters"] - else: - location_features["location_" + day_segment + "_meanlengthstayatclusters"] = 0 - if "locationentropy" in features_to_compute and dataEmptyFlag==0: + if "locationentropy" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_locationentropy"] = location_entropy(newLocationData[newLocationData['local_date']==localDate]) - else: - location_features["location_" + day_segment + "_locationentropy"] = 0 - if "normalizedlocationentropy" in features_to_compute and dataEmptyFlag==0: + if "normalizedlocationentropy" in features_to_compute: for localDate in newLocationData['local_date'].unique(): location_features.loc[localDate,"location_" + day_segment + "_normalizedlocationentropy"] = location_entropy_normalized(newLocationData[newLocationData['local_date']==localDate]) - else: - location_features["location_" + day_segment + "_normalizedlocationentropy"] = 0 location_features = location_features.reset_index() diff --git a/src/features/location_doryab_features.py b/src/features/location_doryab_features.py index feb1fea0..8d749483 100644 --- a/src/features/location_doryab_features.py +++ b/src/features/location_doryab_features.py @@ -17,10 +17,7 @@ if(minutes_data_used): base_features = base_location_features(location_data, day_segment, requested_features, dbscan_eps, dbscan_minsamples,threshold_static,maximum_gap_allowed,sampling_frequency) -if base_features.empty: - location_features = base_features -else: - location_features = location_features.merge(base_features, on="local_date", how="outer") +location_features = location_features.merge(base_features, on="local_date", how="outer") assert len(requested_features) + 1 == location_features.shape[1], "The number of features in the output dataframe (=" + str(location_features.shape[1]) + ") does not match the expected value (=" + str(len(requested_features)) + " + 1). Verify your location feature extraction functions" From 2d10ba255e739cd66b33cc62febc7fc75311218c Mon Sep 17 00:00:00 2001 From: JulioV Date: Fri, 9 Oct 2020 11:41:25 -0400 Subject: [PATCH 34/37] Add 2 faq --- docs/usage/faq.rst | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/docs/usage/faq.rst b/docs/usage/faq.rst index 30920b44..00db3a40 100644 --- a/docs/usage/faq.rst +++ b/docs/usage/faq.rst @@ -146,6 +146,30 @@ This is a bug in Ubuntu 20.04 when trying to connect to an old MySQL server with If you can't update your server, the quickest solution would be to import your database to another server or to a local environment. Alternatively, you could replace ``mysql-client`` and ``libmysqlclient-dev`` with ``mariadb-client`` and ``libmariadbclient-dev`` and reinstall renv. More info about this issue here https://bugs.launchpad.net/ubuntu/+source/mysql-8.0/+bug/1872541 +11. ``DB_TABLES`` key not found + +If you get the following error ``KeyError in line 43 of preprocessing.smk: 'DB_TABLES'``, means that the indentation of the key ``DB_TABLES`` is not matching the other child elements of ``PHONE_VALID_SENSED_BINS`` and you need to add or remove any leading whitespaces as needed. + +:: + + PHONE_VALID_SENSED_BINS: + COMPUTE: False # This flag is automatically ignored (set to True) if you are extracting PHONE_VALID_SENSED_DAYS or screen or Barnett's location features + BIN_SIZE: &bin_size 5 # (in minutes) + # Add as many sensor tables as you have, they all improve the computation of PHONE_VALID_SENSED_BINS and PHONE_VALID_SENSED_DAYS. + # If you are extracting screen or Barnett's location features, screen and locations tables are mandatory. + DB_TABLES: [] + +12. Error while updating your conda environment in Ubuntu + +If you get the following error try reinstalling conda + +:: + CondaMultiError: CondaVerificationError: The package for tk located at /home/ubuntu/miniconda2/pkgs/tk-8.6.9-hed695b0_1003 + appears to be corrupted. The path 'include/mysqlStubs.h' + specified in the package manifest cannot be found. + ClobberError: This transaction has incompatible packages due to a shared path. + packages: conda-forge/linux-64::llvm-openmp-10.0.0-hc9558a2_0, anaconda/linux-64::intel-openmp-2019.4-243 + path: 'lib/libiomp5.so' .. ------------------------ Links --------------------------- .. From b0cbc0a54a10999a9bc497c62ff21eb5867e9e05 Mon Sep 17 00:00:00 2001 From: JulioV Date: Fri, 9 Oct 2020 11:43:36 -0400 Subject: [PATCH 35/37] Fix FAQ format --- docs/usage/faq.rst | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/docs/usage/faq.rst b/docs/usage/faq.rst index 00db3a40..b1d0f9c7 100644 --- a/docs/usage/faq.rst +++ b/docs/usage/faq.rst @@ -147,6 +147,7 @@ This is a bug in Ubuntu 20.04 when trying to connect to an old MySQL server with If you can't update your server, the quickest solution would be to import your database to another server or to a local environment. Alternatively, you could replace ``mysql-client`` and ``libmysqlclient-dev`` with ``mariadb-client`` and ``libmariadbclient-dev`` and reinstall renv. More info about this issue here https://bugs.launchpad.net/ubuntu/+source/mysql-8.0/+bug/1872541 11. ``DB_TABLES`` key not found +"""""""""""""""""""""""""""""""" If you get the following error ``KeyError in line 43 of preprocessing.smk: 'DB_TABLES'``, means that the indentation of the key ``DB_TABLES`` is not matching the other child elements of ``PHONE_VALID_SENSED_BINS`` and you need to add or remove any leading whitespaces as needed. @@ -160,10 +161,12 @@ If you get the following error ``KeyError in line 43 of preprocessing.smk: 'DB_T DB_TABLES: [] 12. Error while updating your conda environment in Ubuntu +""""""""""""""""""""""""""""""""""""""""""""""""""""""""" -If you get the following error try reinstalling conda +If you get the following error try reinstalling conda. :: + CondaMultiError: CondaVerificationError: The package for tk located at /home/ubuntu/miniconda2/pkgs/tk-8.6.9-hed695b0_1003 appears to be corrupted. The path 'include/mysqlStubs.h' specified in the package manifest cannot be found. From dcf1255b4b655b23a2f11738a55c3479f8eb2f7f Mon Sep 17 00:00:00 2001 From: nikunjgoel95 Date: Sat, 10 Oct 2020 13:26:06 -0400 Subject: [PATCH 36/37] Fix runtime bug in Radius of Gyration of Doryab Location. --- src/features/location_doryab/location_base.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/features/location_doryab/location_base.py b/src/features/location_doryab/location_base.py index 6d29bc04..af5866c6 100644 --- a/src/features/location_doryab/location_base.py +++ b/src/features/location_doryab/location_base.py @@ -343,8 +343,10 @@ def radius_of_gyration(locationData,sampling_frequency): time_in_cluster = locationData[locationData["location_label"]==labels].shape[0]* sampling_frequency rog = rog + (time_in_cluster * distance) - + time_all_clusters = valid_clusters.shape[0] * sampling_frequency + if time_all_clusters == 0: + return 0 final_rog = (1/time_all_clusters) * rog return np.sqrt(final_rog) From 640890c7b49492d150accff5c87b1eb25bd97a49 Mon Sep 17 00:00:00 2001 From: Meng Li <34143965+Meng6@users.noreply.github.com> Date: Tue, 13 Oct 2020 18:26:33 -0400 Subject: [PATCH 37/37] Update extracted.rst: AR --- docs/features/extracted.rst | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/docs/features/extracted.rst b/docs/features/extracted.rst index 69b2333e..526292b6 100644 --- a/docs/features/extracted.rst +++ b/docs/features/extracted.rst @@ -494,13 +494,12 @@ features Features to be computed, see table below ====================== ============== ============= Name Units Description ====================== ============== ============= -count rows Number of detect activity events (rows). +count rows Number of episodes. mostcommonactivity activity_type The most common ``activity_type``. If this feature is not unique the first ``activity_type`` of the set of most common ``activity_types`` is selected ordered by ``activity_type``. -countuniqueactivities activities Number of unique activities. -activitychangecount transitions Number of transitions between two different activities; still to running for example. -sumstationary minutes The total duration of episodes of still and tilting (phone) activities. -summobile minutes The total duration of episodes of on foot, running, and on bicycle activities -sumvehicle minutes The total duration of episodes of on vehicle activity +countuniqueactivities activity_type Number of unique ``activity_type``. +durationstationary minutes The total duration of episodes of still and tilting (phone) activities. +durationmobile minutes The total duration of episodes of on foot, running, and on bicycle activities +durationvehicle minutes The total duration of episodes of on vehicle activity ====================== ============== ============= **Assumptions/Observations:**