options(rmarkdown.html_vignette.check_title = FALSE) knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
The application is compatible with (most) databases with a {DBI}
interface. It's been tested with MySQL and PostgreSQL. The production application uses a hosted instance of Aurora (MySQL) on AWS RDS. See below for the table schemaa. You may wish to use a connection manager, such as ProxySQL, to collate and proxy application instance connections to your Database server. The application has been tested with ProxySQL v2.3.2.
``{sql, eval=F}
CREATE DATABASE
c19r` /!40100 DEFAULT CHARACTER SET utf8 /;
-- c19r.risk_game_results definition
CREATE TABLE risk_game_results
(
GEOID
int(11) NOT NULL,
data_ts
varchar(100) NOT NULL,
pred_20
int(11) NOT NULL,
pred_50
int(11) NOT NULL,
pred_100
int(11) NOT NULL,
pred_1000
int(11) NOT NULL,
g_20
int(11) NOT NULL,
g_50
int(11) NOT NULL,
g_100
int(11) NOT NULL,
g_1000
int(11) NOT NULL,
ip
varchar(100) DEFAULT NULL,
ts
timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
latitude
float DEFAULT NULL,
longitude
float DEFAULT NULL,
utm_source
varchar(100) DEFAULT NULL,
utm_medium
varchar(100) DEFAULT NULL,
utm_content
varchar(100) DEFAULT NULL,
utm_campaign
varchar(100) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- c19r.willingness definition
CREATE TABLE willingness
(
source
varchar(100) NOT NULL,
ts
timestamp NULL DEFAULT CURRENT_TIMESTAMP,
asc_bias
int(11) NOT NULL,
event_size
int(11) NOT NULL,
answer
varchar(40) NOT NULL,
ip
varchar(100) DEFAULT NULL,
data_ts
varchar(100) DEFAULT NULL,
vacc_imm
varchar(100) DEFAULT NULL,
latitude
float DEFAULT NULL,
longitude
float DEFAULT NULL,
utm_source
varchar(100) DEFAULT NULL,
utm_medium
varchar(100) DEFAULT NULL,
utm_content
varchar(100) DEFAULT NULL,
utm_campaign
varchar(100) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
## Creating up to date data files ```{bash, eval=FALSE} mkdir risk_data docker pull appliedbioinformaticslab/c19r:latest docker run -v $PWD/risk_data:/risk_data appliedbioinformaticslab/c19r R -e "c19rdata::create_c19r_data(output_prefix='/risk_data')"
```{bash, eval=FALSE} base="/path/to/custom/dir" fname=$(date +%Y%m%d_%H%M%S) wget https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv \ -O "${base}/states_current/${fname}.csv" \ -a "${base}/current.log";
# Deploying ```{base, eval=F} docker run -d \ -p 80:80 \ -v $PWD/risk_data:/risk_data \ -e C19R_RISK_DATA="/risk_data/usa_risk_counties.csv" -e MYSQL_USERNAME="admin" \ -e MYSQL_PASSWORD="password" \ -e MYSQL_HOST="mysql.local" \ appliedbioinformaticslab/c19r
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