diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..4bc0233 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,54 @@ +FROM ubuntu:18.04 +ENV DEBIAN_FRONTEND=noninteractive + +RUN apt-get update && apt-get upgrade -yq +RUN apt-get install -yq apt-utils apt-transport-https tzdata sudo curl python3-pip python3-dev git +RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 10 +RUN apt-get -yq install postgresql-10 + +#========================================================================================= +# from https://docs.docker.com/engine/examples/postgresql_service/ +# ubuntu 18.04 contains postgres 10.3 +USER postgres +# Create a PostgreSQL role named ``dallinger`` with ``dallinger`` as the password and +# then create a database `dallinger` and 'dallinger-import' owned by the ``dallinger`` role. +# Note: here we use ``&&\`` to run commands one after the other - the ``\`` +# allows the RUN command to span multiple lines. +RUN /etc/init.d/postgresql start &&\ + psql --command "CREATE USER dallinger WITH SUPERUSER PASSWORD 'dallinger';" &&\ + createdb -O dallinger dallinger &&\ + createdb -O dallinger dallinger-import + +# Adjust PostgreSQL configuration so that remote connections to the +# database are possible. +USER root +RUN echo "host all all 0.0.0.0/0 trust" >> /etc/postgresql/10/main/pg_hba.conf +# And add ``listen_addresses`` to ``/etc/postgresql/10/main/postgresql.conf`` +RUN echo "listen_addresses='*'" >> /etc/postgresql/10/main/postgresql.conf +#========================================================================================= +RUN sed /etc/postgresql/10/main/pg_hba.conf -e 's/md5/trust/g' --in-place + +# Redis +RUN apt-get -yq install redis-server + +RUN sudo pip3 install matplotlib==2.1.0 +RUN sudo pip3 install -e git+https://github.com/Dallinger/Dallinger.git@stories/341-bot-data#egg=dallinger[data,jupyter] +RUN sudo pip3 install -e git+https://github.com/Dallinger/Griduniverse.git@stories/342-realtime-playback#egg=dlgr-griduniverse + +# My binder specifics as per: +# https://mybinder.readthedocs.io/en/latest/dockerfile.html#preparing-your-dockerfile +ENV NB_USER jovyan +ENV NB_UID 1000 +ENV HOME /home/${NB_USER} +RUN adduser --disabled-password \ + --gecos "Default user" \ + --uid ${NB_UID} \ + ${NB_USER} +COPY . ${HOME} +RUN chown -R ${NB_UID} ${HOME} +RUN echo "jovyan ALL=(ALL) NOPASSWD: /usr/sbin/service" >> /etc/sudoers + +USER ${NB_USER} +WORKDIR ${HOME} + +CMD ["jupyter", "notebook", "--ip", "0.0.0.0"] diff --git a/README.md b/README.md index d89f2a1..b133541 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,7 @@ # NGS2 Cycle 2 pilot data -[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/Dallinger/ngs2-cycle2-pilot-data/master?filepath=analyses.ipynb) +[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/Dallinger/ngs2-cycle2-pilot-data/stories%2F341-bot-data?filepath=analyses.ipynb) + +# Bot Run Data + +[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/Dallinger/ngs2-cycle2-pilot-data/stories%2F341-bot-data?filepath=bot_runs%2Fbot_collector.ipynb) diff --git a/analyses.ipynb b/analyses.ipynb index 1b9282b..c1c96fa 100644 --- a/analyses.ipynb +++ b/analyses.ipynb @@ -1,254 +1,290 @@ { - "cells": [ - { - "cell_type": "code", - "source": [ - "import dallinger\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\nimport preprocess" - ], - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/srv/conda/lib/python3.6/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use \"pip install psycopg2-binary\" instead. For details see: .\n", - " \"\"\")\n" - ] - } - ], - "execution_count": 1, - "metadata": { - "inputHidden": false, - "outputHidden": false - } - }, - { - "cell_type": "markdown", - "source": [ - "# Data structure" - ], - "metadata": {} - }, - { - "cell_type": "code", - "source": [ - "data = dallinger.data.load(\"85da95bb-a015-6176-8ee4-5935fc98fbcb\") # Run 1\n", - "# data = dallinger.data.load(\"b2c86911-a372-2bc2-eb6f-1179ced58e9d\") # Run 2\n", - "# data = dallinger.data.load(\"d8f46512-efcb-6f3f-969c-84a6351621b0\") # Run 3" - ], - "outputs": [], - "execution_count": 3, - "metadata": {} - }, + "cells": [ + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "inputHidden": false, + "outputHidden": false + }, + "outputs": [], + "source": [ + "import binder_helpers\n", + "\n", + "import dallinger\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "import preprocess\n", + "\n", + "\n", + "# Start required services when running on binder\n", + "binder_helpers.start_services()\n", + "\n", + "exp_id = \"85da95bb-a015-6176-8ee4-5935fc98fbcb\" # Run 1\n", + "# exp_id = \"b2c86911-a372-2bc2-eb6f-1179ced58e9d\" # Run 2\n", + "# exp_id = \"d8f46512-efcb-6f3f-969c-84a6351621b0\" # Run 3" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data structure" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "data = dallinger.data.load(exp_id)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Available tables include:\n", + "\n", + "```\n", + "data.infos # Information generated by nodes\n", + "data.networks # Nodes and vectors between them\n", + "data.nodes # Nodes in the network, one per agent\n", + "data.notifications # Notifications from recruiters about participants\n", + "data.participants # Participants recruited for the experiment\n", + "data.questions # Questionnaire items asked of participants\n", + "data.transformations # Transformations of one info into another\n", + "data.transmissions # Transmissions of infos from one node to another\n", + "data.vectors # Links between nodes\n", + "```\n", + "\n", + "And each table can be accessed, e.g., in these formats:\n", + "\n", + "```\n", + "data.networks.csv # Comma-separated value\n", + "data.networks.dict # Python dictionary\n", + "data.networks.df # pandas DataFrame\n", + "data.networks.html # HTML table\n", + "data.networks.latex # LaTeX table\n", + "data.networks.list # Python list\n", + "data.networks.ods # OpenDocument Spreadsheet\n", + "data.networks.tsv # Tab-separated values\n", + "data.networks.xls # Legacy Excel spreadsheet\n", + "data.networks.xlsx # Modern Excel spreadsheet\n", + "data.networks.yaml # YAML\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Basic analyses\n", + "Below are some basic analyses of the pilot data." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "Available tables include:\n", - "\n", - "```\n", - "data.infos # Information generated by nodes\n", - "data.networks # Nodes and vectors between them\n", - "data.nodes # Nodes in the network, one per agent\n", - "data.notifications # Notifications from recruiters about participants\n", - "data.participants # Participants recruited for the experiment\n", - "data.questions # Questionnaire items asked of participants\n", - "data.transformations # Transformations of one info into another\n", - "data.transmissions # Transmissions of infos from one node to another\n", - "data.vectors # Links between nodes\n", - "```\n", - "\n", - "And each table can be accessed, e.g., in these formats:\n", - "\n", - "```\n", - "data.networks.csv # Comma-separated value\n", - "data.networks.dict # Python dictionary\n", - "data.networks.df # pandas DataFrame\n", - "data.networks.html # HTML table\n", - "data.networks.latex # LaTeX table\n", - "data.networks.list # Python list\n", - "data.networks.ods # OpenDocument Spreadsheet\n", - "data.networks.tsv # Tab-separated values\n", - "data.networks.xls # Legacy Excel spreadsheet\n", - "data.networks.xlsx # Modern Excel spreadsheet\n", - "data.networks.yaml # YAML\n", - "```" - ], - "metadata": {} - }, + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot players positions over time.\n", + "(times, positions_x, positions_y) = preprocess.timecourse_player_positions(data)\n", + "plt.xlim([0, 48])\n", + "plt.ylim([0, 48])\n", + "for i in range(positions_x.shape[1]):\n", + " plt.plot(positions_x[:, i], positions_y[:, i], alpha=0.50)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ { - "cell_type": "markdown", - "source": [ - "# Basic analyses\n", - "Below are some basic analyses of the pilot data." - ], - "metadata": {} - }, + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "(times, positions_x, positions_y) = preprocess.timecourse_player_positions(data)\n", + "plt.xlim([0, 48])\n", + "plt.ylim([0, 48])\n", + "plt.axis(\"off\")\n", + "\n", + "for i in range(positions_x.shape[1]):\n", + " plt.subplot(3, 3, i+1)\n", + " plt.plot(positions_x[:, i], positions_y[:, i], alpha=0.50)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ { - "cell_type": "code", - "source": [ - "# Plot players positions over time.\n", - "(times, positions_x, positions_y) = preprocess.timecourse_player_positions(data)\n", - "plt.xlim([0, 48])\n", - "plt.ylim([0, 48])\n", - "for i in range(positions_x.shape[1]):\n", - " plt.plot(positions_x[:, i], positions_y[:, i], alpha=0.50)\n", - "plt.show()" - ], - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": [ - 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\n" 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot score per player over time.\n", + "(t, s) = preprocess.timecourse_player_scores(data)\n", + "plt.ylim([0, np.max(s)])\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Score\")\n", + "for column in s.T:\n", + " plt.plot(t, column)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ { - "cell_type": "code", - "source": [ - "(times, positions_x, positions_y) = preprocess.timecourse_player_positions(data)\n", - "plt.xlim([0, 48])\n", - "plt.ylim([0, 48])\n", - "plt.axis(\"off\")\n", - "\n", - "for i in range(positions_x.shape[1]):\n", - " plt.subplot(3, 3, i+1)\n", - " plt.plot(positions_x[:, i], positions_y[:, i], alpha=0.50)\n", - "plt.show()" - ], - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": [ - 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\n" 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "(t, s) = preprocess.timecourse_player_scores(data)\n", + "plt.ylim([0, 1000])\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Total score\")\n", + "plt.plot(t, np.sum(s, axis=1))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ { - "cell_type": "code", - "source": [ - "# Plot score per player over time.\n", - "(t, s) = preprocess.timecourse_player_scores(data)\n", - "plt.ylim([0, np.max(s)])\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Score\")\n", - "for column in s.T:\n", - " plt.plot(t, column)\n", - "plt.show()" - ], - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": [ - 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\n" 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "(t, n) = preprocess.timecourse_num_players(data)\n", + "plt.ylim([0, 20])\n", + "plt.xlabel(\"Time\")\n", + "plt.ylabel(\"Number of players in game\")\n", + "plt.plot(t, n)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "scrolled": true + }, + "outputs": [ { - "cell_type": "code", - "source": [ - "(t, s) = preprocess.timecourse_player_scores(data)\n", - "plt.ylim([0, 1000])\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Total score\")\n", - "plt.plot(t, np.sum(s, axis=1))\n", - "plt.show()" - ], - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": [ - 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\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - } - ], - "execution_count": 10, - "metadata": {} + "name": "stdout", + "output_type": "stream", + "text": [ + "Ingesting dataset from 85da95bb-a015-6176-8ee4-5935fc98fbcb-data.zip...\n" + ] }, { - "cell_type": "code", - "source": [ - "(t, n) = preprocess.timecourse_num_players(data)\n", - "plt.ylim([0, 20])\n", - "plt.xlabel(\"Time\")\n", - "plt.ylabel(\"Number of players in game\")\n", - "plt.plot(t, n)\n", - "plt.show()" - ], - "outputs": [ - { - "output_type": "display_data", - "data": { - "image/png": [ - 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\n" - ], - "text/plain": [ - "" - ] - }, - "metadata": {} - } - ], - "execution_count": 11, - "metadata": {} - } - ], - "metadata": { - "kernel_info": { - "name": "python3" - }, - "kernelspec": { - "name": "python3", - "language": "python", - "display_name": "Python 3" - }, - "language_info": { - "name": "python", - "version": "3.6.3", - "mimetype": "text/x-python", - "codemirror_mode": { - "name": "ipython", - "version": 3 + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a7885c648964406c86f1522e5cfe3d50", + "version_major": 2, + "version_minor": 0 }, - "pygments_lexer": "ipython3", - "nbconvert_exporter": "python", - "file_extension": ".py" + "text/plain": [ + "VBox(children=(ExperimentWidget(children=(HTML(value='\\n

Experiment title

\\n
Status: Unknown
\\…" + ] + }, + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "from dallinger.experiments import Griduniverse\n", + "exp = Griduniverse()\n", + "exp.jupyter_replay(\n", + " app_id=exp_id,\n", + " session=dallinger.db.init_db(drop_all=True),\n", + " rows=45, columns=45\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernel_info": { + "name": "python3" + }, + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" }, - "nbformat": 4, - "nbformat_minor": 4 -} \ No newline at end of file + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/binder_helpers.py b/binder_helpers.py new file mode 100644 index 0000000..2e49b6b --- /dev/null +++ b/binder_helpers.py @@ -0,0 +1,10 @@ +import os +import subprocess + + +def start_services(): + if os.path.exists('/usr/sbin/service'): + if subprocess.call("sudo /usr/sbin/service postgresql status", shell=True): + subprocess.call("sudo /usr/sbin/service postgresql start", shell=True) + if subprocess.call("sudo /usr/sbin/service redis-server status", shell=True): + subprocess.call("sudo /usr/sbin/service redis-server start", shell=True) diff --git a/bot_runs/bot_collector.ipynb b/bot_runs/bot_collector.ipynb new file mode 100644 index 0000000..82e6f58 --- /dev/null +++ b/bot_runs/bot_collector.ipynb @@ -0,0 +1,282 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import csv\n", + "import dallinger\n", + "from dallinger.experiments import Griduniverse\n", + "\n", + "\n", + "sys.path.append('..')\n", + "import binder_helpers\n", + "binder_helpers.start_services()\n", + "\n", + "ROWS = 49\n", + "COLS = 49\n", + "ORIG_CSV_LIMIT = csv.field_size_limit(ROWS*COLS*1024)\n", + "\n", + "BASE_ID = \"{}01daa{}-f7ed-43fa-ad6b-9928aa51f8e1\"\n", + "PARTICIPANTS = 9\n", + "NUM_AS_EXPERIMENTS = 3\n", + "NUM_RANDOM_EXPERIMENTS = 3\n", + "\n", + "EXP_CONFIG = {\n", + " \"recruiter\": \"bots\",\n", + " \"max_participants\": PARTICIPANTS,\n", + "}\n", + "\n", + "exp = Griduniverse()\n", + "data = {}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting 3 experiments with 9 AdvantageSeekingBot players\n", + ">>>> Retrieve: Data found for experiment ab01daa0-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n", + ">>>> Retrieve: Data found for experiment ab01daa1-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n", + ">>>> Retrieve: Data found for experiment ab01daa2-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n", + "Data retrieval complete\n" + ] + } + ], + "source": [ + "print('Collecting {} experiments with {} AdvantageSeekingBot players'.format(\n", + " NUM_AS_EXPERIMENTS, PARTICIPANTS\n", + "))\n", + "\n", + "for count in range(NUM_AS_EXPERIMENTS):\n", + " exp_id = BASE_ID.format('ab', count)\n", + " config = EXP_CONFIG.copy()\n", + " config['bot_policy'] = 'AdvantageSeekingBot'\n", + " data[exp_id] = {\n", + " 'title': '{} Experiment #{} ({})'.format(config['bot_policy'], count + 1, exp_id),\n", + " 'data': exp.collect(exp_id, exp_config=config)\n", + " }\n", + " \n", + "print('Data retrieval complete.')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting 3 experiments with 9 RandomBot players\n", + ">>>> Retrieve: Data found for experiment ad01daa0-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n", + ">>>> Retrieve: Data found for experiment ad01daa1-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n", + ">>>> Retrieve: Data found for experiment ad01daa2-f7ed-43fa-ad6b-9928aa51f8e1, retrieving.\n", + "Data retrieval complete.\n" + ] + } + ], + "source": [ + "print('Collecting {} experiments with {} RandomBot players'.format(\n", + " NUM_RANDOM_EXPERIMENTS, PARTICIPANTS\n", + "))\n", + "\n", + "for count in range(NUM_RANDOM_EXPERIMENTS):\n", + " exp_id = BASE_ID.format('ad', count)\n", + " config = EXP_CONFIG.copy()\n", + " config['bot_policy'] = 'RandomBot'\n", + " data[exp_id] = {\n", + " 'title': '{} Experiment #{} ({})'.format(config['bot_policy'], count + 1, exp_id),\n", + " 'data': exp.collect(exp_id, exp_config=config)\n", + " }\n", + "\n", + "print('Data retrieval complete.') " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Successfully collected data from 6 bot experiments. Rendering replay widgets:\n", + "Ingesting dataset from ab01daa0-f7ed-43fa-ad6b-9928aa51f8e1-data.zip...\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "38f06c4e23f44271ac6f6875fdd9066a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(ExperimentWidget(children=(HTML(value='\\n

AdvantageSeekingBot Experiment #1 (ab01daa0-f7ed-4…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ingesting dataset from ab01daa1-f7ed-43fa-ad6b-9928aa51f8e1-data.zip...\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "db5a419157a64f2fbc53fb6d8b3cb8da", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(ExperimentWidget(children=(HTML(value='\\n

AdvantageSeekingBot Experiment #2 (ab01daa1-f7ed-4…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ingesting dataset from ab01daa2-f7ed-43fa-ad6b-9928aa51f8e1-data.zip...\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "23c4951777ab4e37af3d8deffb690e29", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(ExperimentWidget(children=(HTML(value='\\n

AdvantageSeekingBot Experiment #3 (ab01daa2-f7ed-4…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ingesting dataset from ad01daa0-f7ed-43fa-ad6b-9928aa51f8e1-data.zip...\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "058a6f9ff1144200989455a030dca0a8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(ExperimentWidget(children=(HTML(value='\\n

RandomBot Experiment #1 (ad01daa0-f7ed-43fa-ad6b-9…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ingesting dataset from ad01daa1-f7ed-43fa-ad6b-9928aa51f8e1-data.zip...\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8f32522f6e264e3f8cea262aebdf14b5", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(ExperimentWidget(children=(HTML(value='\\n

RandomBot Experiment #2 (ad01daa1-f7ed-43fa-ad6b-9…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ingesting dataset from ad01daa2-f7ed-43fa-ad6b-9928aa51f8e1-data.zip...\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0dc3e866a56a4200bd6028ec6a73d27b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(ExperimentWidget(children=(HTML(value='\\n

RandomBot Experiment #3 (ad01daa2-f7ed-43fa-ad6b-9…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print('Successfully collected data from {} bot experiments. Rendering replay widgets:'.format(len(data)))\n", + "\n", + "for exp_id in data:\n", + " replay_exp = Griduniverse()\n", + " replay_exp.task = data[exp_id]['title']\n", + " replay_exp.jupyter_replay(\n", + " app_id=exp_id,\n", + " session=dallinger.db.init_db(drop_all=True),\n", + " rows=ROWS, columns=COLS\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/bot_runs/bot_runs.py b/bot_runs/bot_runs.py new file mode 100644 index 0000000..b6c7373 --- /dev/null +++ b/bot_runs/bot_runs.py @@ -0,0 +1,53 @@ +import csv +from dallinger.experiments import Griduniverse + +ROWS = 49 +COLS = 49 +ORIG_CSV_LIMIT = csv.field_size_limit(ROWS*COLS*1024) + +BASE_ID = "{}01daa{}-f7ed-43fa-ad6b-9928aa51f8e1" +PARTICIPANTS = 9 +NUM_AS_EXPERIMENTS = 3 +NUM_RANDOM_EXPERIMENTS = 3 + +EXP_CONFIG = { + "recruiter": "bots", + "max_participants": PARTICIPANTS, +} + +exp = Griduniverse() +data = {} + +print('Collecting {} experiments with {} AdvantageSeekingBot players'.format( + NUM_AS_EXPERIMENTS, PARTICIPANTS +)) + +for count in range(NUM_AS_EXPERIMENTS): + exp_id = BASE_ID.format('ab', count) + config = EXP_CONFIG.copy() + config['bot_policy'] = 'AdvantageSeekingBot' + data[exp_id] = { + 'title': '{} Experiment #{} ({})'.format(config['bot_policy'], + count + 1, exp_id), + 'data': exp.collect(exp_id, exp_config=config) + } + +print('Collecting {} experiments with {} RandomBot players'.format( + NUM_RANDOM_EXPERIMENTS, PARTICIPANTS +)) + +for count in range(NUM_RANDOM_EXPERIMENTS): + exp_id = BASE_ID.format('ad', count) + config = EXP_CONFIG.copy() + config['bot_policy'] = 'RandomBot' + data[exp_id] = { + 'title': '{} Experiment #{} ({})'.format(config['bot_policy'], + count + 1, exp_id), + 'data': exp.collect(exp_id, exp_config=config) + } + +print( + 'Successfully collected data from ' + '{} bot experiments. Rendering replay widgets:'.format( + len(data)) +) diff --git a/bot_runs/data/ab01daa0-f7ed-43fa-ad6b-9928aa51f8e1-data.zip b/bot_runs/data/ab01daa0-f7ed-43fa-ad6b-9928aa51f8e1-data.zip new file mode 100644 index 0000000..002cc06 Binary files /dev/null and b/bot_runs/data/ab01daa0-f7ed-43fa-ad6b-9928aa51f8e1-data.zip differ diff --git a/bot_runs/data/ab01daa1-f7ed-43fa-ad6b-9928aa51f8e1-data.zip b/bot_runs/data/ab01daa1-f7ed-43fa-ad6b-9928aa51f8e1-data.zip new file mode 100644 index 0000000..aa6b089 Binary files /dev/null and b/bot_runs/data/ab01daa1-f7ed-43fa-ad6b-9928aa51f8e1-data.zip differ diff --git a/bot_runs/data/ab01daa2-f7ed-43fa-ad6b-9928aa51f8e1-data.zip b/bot_runs/data/ab01daa2-f7ed-43fa-ad6b-9928aa51f8e1-data.zip new file mode 100644 index 0000000..44e7d2d Binary files /dev/null and b/bot_runs/data/ab01daa2-f7ed-43fa-ad6b-9928aa51f8e1-data.zip differ diff --git a/bot_runs/data/ad01daa0-f7ed-43fa-ad6b-9928aa51f8e1-data.zip b/bot_runs/data/ad01daa0-f7ed-43fa-ad6b-9928aa51f8e1-data.zip new file mode 100644 index 0000000..3bf27d5 Binary files /dev/null and b/bot_runs/data/ad01daa0-f7ed-43fa-ad6b-9928aa51f8e1-data.zip differ diff --git a/bot_runs/data/ad01daa1-f7ed-43fa-ad6b-9928aa51f8e1-data.zip b/bot_runs/data/ad01daa1-f7ed-43fa-ad6b-9928aa51f8e1-data.zip new file mode 100644 index 0000000..40b86f1 Binary files /dev/null and b/bot_runs/data/ad01daa1-f7ed-43fa-ad6b-9928aa51f8e1-data.zip differ diff --git a/bot_runs/data/ad01daa2-f7ed-43fa-ad6b-9928aa51f8e1-data.zip b/bot_runs/data/ad01daa2-f7ed-43fa-ad6b-9928aa51f8e1-data.zip new file mode 100644 index 0000000..8d9c8b7 Binary files /dev/null and b/bot_runs/data/ad01daa2-f7ed-43fa-ad6b-9928aa51f8e1-data.zip differ diff --git a/bot_runs/exp-config.txt b/bot_runs/exp-config.txt new file mode 100644 index 0000000..6b97252 --- /dev/null +++ b/bot_runs/exp-config.txt @@ -0,0 +1,29 @@ +[Experiment Configuration] +mode = sandbox +auto_recruit = true +network = FullyConnected +time_per_round = 600 +max_participants = 9 +walls_density = 0.50 +walls_contiguity = 0.90 +rows = 49 +columns = 49 +window_rows = 25 +window_columns = 25 +use_identicons = true +visibility = 7 +spatial_chat = true +show_chatroom = true +chat_visibility_threshold = 0.3 + +[Database Parameters] +database_size = standard-0 + +[Server Parameters] +dyno_type = performance-m +num_dynos_web = 1 +num_dynos_worker = 2 +host = 0.0.0.0 +notification_url = None +clock_on = true +logfile = - diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 2ad53fe..0000000 --- a/requirements.txt +++ /dev/null @@ -1,7 +0,0 @@ -matplotlib==2.1.0 -networkx==1.11 -numpy==1.13.1 -odo==0.5.0 -pandas==0.20.3 -tablib==0.12.1 --e git+https://github.com/Dallinger/Dallinger.git@master#egg=dallinger[data] diff --git a/runtime.txt b/runtime.txt deleted file mode 100644 index 71911c0..0000000 --- a/runtime.txt +++ /dev/null @@ -1 +0,0 @@ -python-3.6