Next: Introduction, Previous: (dir), Up: (dir) [Contents][Index]
This is the cl-covid19 Reference Manual, version 0.3.0, generated automatically by Declt version 3.0 "Montgomery Scott" on Tue Dec 22 12:11:07 2020 GMT+0.
| • Introduction | What cl-covid19 is all about | |
| • Systems | The systems documentation | |
| • Modules | The modules documentation | |
| • Files | The files documentation | |
| • Packages | The packages documentation | |
| • Definitions | The symbols documentation | |
| • Indexes | Concepts, functions, variables and data types |
The cl-covid19 system provides APIs for exploring and reviewing
COVID-19
data with Common Lisp, SQL, gnuplot and Grafana.
The system fetches time-series data from the COVID-19 API, and persists it locally in a SQLite database, so it can be reviewed offline.
Clone the cl-covid19 repo in your Quicklisp
local-projects directory.
git clone https://github.com/dnaeon/cl-covid19.git
Load the system.
CL-USER> (ql:quickload :cl-covid19)
The following section provides examples to get you started.
You can find an already populated database, that you can use in the databases directory of this repo.
First, we need to create a connection to the SQLite database.
CL-USER> (defparameter *db-conn*
(covid19:make-db-conn "covid19.db"))
*DB-CONN*
Next, we need to apply the database migrations, so that the database schema is properly created. Database schema migrations are handled by cl-migratum system.
CL-USER> (covid19:migrate-db *db-conn*)
You should see similar output when applying the database migrations.
<INFO> [16:01:37] cl-migratum.core core.lisp (apply-pending) -
Found 3 pending migration(s) to be applied
<INFO> [16:01:37] cl-migratum.core core.lisp (apply-and-register) -
Applying migration 20200608135822 - create_countries_table
<INFO> [16:01:37] cl-migratum.core core.lisp (apply-and-register) -
Applying migration 20200611230626 - add_time_series_table
<INFO> [16:01:37] cl-migratum.core core.lisp (apply-and-register) -
Applying migration 20200611234716 - add_time_series_views
The local SQLite database provides the following tables and views.
| Name | Description |
|----------------------------------------|--------------------------------------------------------------------------------------|
| migration | Contains the applied database migrations |
| continent | Contains rows about each continent |
| country | Contains the countries fetched from the remote API |
| time_series | Time series for each country |
| time_series_global | Aggregated global time series |
| time_series_per_country | Time series data per country |
| time_series_per_country_latest | Latest time series data per country |
| time_series_per_country_weekly_avg | Last 7 days average of new cases per country |
| time_series_per_country_biweekly_avg | Last 14 days average of new cases per country |
| time_series_per_country_per_million | Cases per million population for each country |
| time_series_per_country_incidence | Incidence cases per country |
| time_series_per_continent | Time series data per continent |
| time_series_per_continent_latest | Latest time series data per continent |
| population | Population for each country on yearly basis |
| population_per_country | A view which joins country and population |
| population_per_country_latest | A view returning the latest population per country |
In order to fetch data from the COVID-19 API, we need to create an API client.
CL-USER> (defparameter *api-client*
(covid19:make-api-client))
*API-CLIENT*
Using the API client we've created in the previous step we can now
fetch the latest time-series data and persist them locally in our
database. In order to do that simply call the
COVID19:UPDATE-ALL-DATA function.
CL-USER> (covid19:update-all-data *api-client* *db-conn*)
T
You should probably do that once in a day, since time-series data usually gets updated on daily basis.
The following examples show how to fetch various data from the database.
By default each fetch function will return up to
COVID19:*DEFAULT-RESULT-LIMIT* number of items. You can either use
the :limit keyword parameter of the fetch function you use, or
rebind the above parameter to a value you want.
Another common parameter used by the various fetch functions is
:offset, which allows you to skip a given number of items and is
useful for retrieving items in pages, when used in combination with
the :limit keyword parameter.
The :order keyword parameter, used in some fetching functions
controls the order in which items will be returned based on the
timestamp column. By default the results will be in descending order
(most recent ones). If you need to return items in ascending order
(oldest to newest ones), you can use the :asc value for the :order
keyword parameter.
Here's how to fetch ten countries using the COVID19:FETCH-COUNTRIES
function. You can control the number of results to fetch by using the
:limit keyword parameter.
CL-USER> (covid19:fetch-countries *db-conn* :limit 10)
((:|id| 1 :|iso_code| "JE" :|name| "Jersey" :|slug| "jersey")
(:|id| 2 :|iso_code| "MM" :|name| "Myanmar" :|slug| "myanmar")
(:|id| 3 :|iso_code| "NA" :|name| "Namibia" :|slug| "namibia")
(:|id| 4 :|iso_code| "SO" :|name| "Somalia" :|slug| "somalia")
(:|id| 5 :|iso_code| "AU" :|name| "Australia" :|slug| "australia")
(:|id| 6 :|iso_code| "GD" :|name| "Grenada" :|slug| "grenada")
(:|id| 7 :|iso_code| "JP" :|name| "Japan" :|slug| "japan")
(:|id| 8 :|iso_code| "QA" :|name| "Qatar" :|slug| "qatar")
(:|id| 9 :|iso_code| "UM" :|name| "US Minor Outlying Islands" :|slug|
"us-minor-outlying-islands")
(:|id| 10 :|iso_code| "AG" :|name| "Antigua and Barbuda" :|slug|
"antigua-and-barbuda"))
You can also use the COVID19:DISPLAY-TABLE function to display a
table of the fetched results from your REPL.
CL-USER> (covid19:display-table
(covid19:fetch-countries *db-conn* :limit 10))
+----+----------+---------------------------+---------------------------+
| id | iso_code | name | slug |
+----+----------+---------------------------+---------------------------+
| 1 | JE | Jersey | jersey |
| 2 | MM | Myanmar | myanmar |
| 3 | NA | Namibia | namibia |
| 4 | SO | Somalia | somalia |
| 5 | AU | Australia | australia |
| 6 | GD | Grenada | grenada |
| 7 | JP | Japan | japan |
| 8 | QA | Qatar | qatar |
| 9 | UM | US Minor Outlying Islands | us-minor-outlying-islands |
| 10 | AG | Antigua and Barbuda | antigua-and-barbuda |
+----+----------+---------------------------+---------------------------+
NIL
In order to get a specific country by either name or ISO code you can use the
COVID19:FETCH-COUNTRY function, e.g.
CL-USER> (covid19:fetch-country *db-conn* "BG")
((:|id| 44 :|iso_code| "BG" :|name| "Bulgaria" :|slug| "bulgaria"))
Time series data can be fetched using the COVID19:FETCH-TIME-SERIES
function. The results will contain historical records for each
country, ordered by timestamp in descending order.
CL-USER> (covid19:display-table
(covid19:fetch-time-series *db-conn* :limit 10))
+----------------------+-----------+--------+-----------+--------+---------------+------------+---------------+------------+------------+---------------------+---------------------+------------------+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_deaths | new_recovered | new_active | country_id | country_name | country_slug | country_iso_code |
+----------------------+-----------+--------+-----------+--------+---------------+------------+---------------+------------+------------+---------------------+---------------------+------------------+
| 2020-06-16T00:00:00Z | 262 | 6 | 179 | 77 | 0 | 0 | 4 | -4 | 2 | Myanmar | myanmar | MM |
| 2020-06-16T00:00:00Z | 34 | 0 | 18 | 16 | 2 | 0 | 1 | 1 | 3 | Namibia | namibia | NA |
| 2020-06-16T00:00:00Z | 2658 | 88 | 649 | 1921 | 16 | 0 | 27 | -11 | 4 | Somalia | somalia | SO |
| 2020-06-16T00:00:00Z | 7370 | 102 | 6861 | 407 | 23 | 0 | 5 | 18 | 5 | Australia | australia | AU |
| 2020-06-16T00:00:00Z | 23 | 0 | 22 | 1 | 0 | 0 | 0 | 0 | 6 | Grenada | grenada | GD |
| 2020-06-16T00:00:00Z | 17484 | 934 | 15652 | 898 | 45 | 5 | 85 | -45 | 7 | Japan | japan | JP |
| 2020-06-16T00:00:00Z | 82077 | 80 | 60461 | 21536 | 1201 | 4 | 1780 | -583 | 8 | Qatar | qatar | QA |
| 2020-06-16T00:00:00Z | 26 | 3 | 22 | 1 | 0 | 0 | 2 | -2 | 10 | Antigua and Barbuda | antigua-and-barbuda | AG |
| 2020-06-16T00:00:00Z | 532 | 9 | 236 | 287 | 49 | 0 | 4 | 45 | 11 | Benin | benin | BJ |
| 2020-06-16T00:00:00Z | 8931 | 212 | 7937 | 782 | 46 | 0 | 109 | -63 | 12 | Morocco | morocco | MA |
+----------------------+-----------+--------+-----------+--------+---------------+------------+---------------+------------+------------+---------------------+---------------------+------------------+
NIL
If you want to get the time-series data for a given country you can
use COVID19:FETCH-TIME-SERIES-FOR-COUNTRY. The following command will
return the data for the past 10 days.
CL-USER> (covid19:display-table
(covid19:fetch-time-series-for-country *db-conn* "Bulgaria" :limit 10))
+----------------------+-----------+--------+-----------+--------+---------------+------------+---------------+------------+------------+--------------+--------------+------------------+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_deaths | new_recovered | new_active | country_id | country_name | country_slug | country_iso_code |
+----------------------+-----------+--------+-----------+--------+---------------+------------+---------------+------------+------------+--------------+--------------+------------------+
| 2020-06-16T00:00:00Z | 3453 | 181 | 1817 | 1455 | 112 | 5 | 33 | 74 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-15T00:00:00Z | 3341 | 176 | 1784 | 1381 | 51 | 2 | 54 | -5 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-14T00:00:00Z | 3290 | 174 | 1730 | 1386 | 24 | 2 | 7 | 15 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-13T00:00:00Z | 3266 | 172 | 1723 | 1371 | 75 | 0 | 7 | 68 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-12T00:00:00Z | 3191 | 172 | 1716 | 1303 | 105 | 4 | 28 | 73 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-11T00:00:00Z | 3086 | 168 | 1688 | 1230 | 93 | 1 | 24 | 68 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-10T00:00:00Z | 2993 | 167 | 1664 | 1162 | 104 | 0 | 41 | 63 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-09T00:00:00Z | 2889 | 167 | 1623 | 1099 | 79 | 3 | 36 | 40 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-08T00:00:00Z | 2810 | 164 | 1587 | 1059 | 83 | 4 | 39 | 40 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-07T00:00:00Z | 2727 | 160 | 1548 | 1019 | 16 | 0 | 3 | 13 | 44 | Bulgaria | bulgaria | BG |
+----------------------+-----------+--------+-----------+--------+---------------+------------+---------------+------------+------------+--------------+--------------+------------------+
NIL
Latest (most recent) time-series data per country can be fetched using
the COVID19:FETCH-TIME-SERIES-LATEST function, e.g.
CL-USER> (covid19:display-table
(covid19:fetch-time-series-latest *db-conn* :limit 5))
+----------------------+-----------+--------+-----------+--------+---------------+------------+---------------+------------+------------+--------------+--------------+------------------+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_deaths | new_recovered | new_active | country_id | country_name | country_slug | country_iso_code |
+----------------------+-----------+--------+-----------+--------+---------------+------------+---------------+------------+------------+--------------+--------------+------------------+
| 2020-06-16T00:00:00Z | 262 | 6 | 179 | 77 | 0 | 0 | 4 | -4 | 2 | Myanmar | myanmar | MM |
| 2020-06-16T00:00:00Z | 34 | 0 | 18 | 16 | 2 | 0 | 1 | 1 | 3 | Namibia | namibia | NA |
| 2020-06-16T00:00:00Z | 2658 | 88 | 649 | 1921 | 16 | 0 | 27 | -11 | 4 | Somalia | somalia | SO |
| 2020-06-16T00:00:00Z | 7370 | 102 | 6861 | 407 | 23 | 0 | 5 | 18 | 5 | Australia | australia | AU |
| 2020-06-16T00:00:00Z | 23 | 0 | 22 | 1 | 0 | 0 | 0 | 0 | 6 | Grenada | grenada | GD |
+----------------------+-----------+--------+-----------+--------+---------------+------------+---------------+------------+------------+--------------+--------------+------------------+
NIL
In order to fetch the top countries by given column you can use the
COVID19:FETCH-TOP-COUNTRIES-BY function. The following example will
display the top 5 countries by confirmed cases.
CL-USER> (mapcar (lambda (item)
(getf item :|country_name|))
(covid19:fetch-top-countries-by *db-conn* :column :confirmed :limit 5))
("United States of America" "Brazil" "Russian Federation" "India"
"United Kingdom")
The COVID19:FETCH-TIME-SERIES-GLOBAL function returns the aggregated
time series on a global scale. The following example will display the
stats for the past 10 days.
CL-USER> (covid19:display-table
(covid19:fetch-time-series-global *db-conn* :limit 10))
+----------------------+-----------+--------+-----------+---------+---------------+---------------+------------+------------+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_recovered | new_deaths | new_active |
+----------------------+-----------+--------+-----------+---------+---------------+---------------+------------+------------+
| 2020-06-16T00:00:00Z | 8274306 | 451939 | 3954518 | 3867849 | 139803 | 97831 | 6829 | 35143 |
| 2020-06-15T00:00:00Z | 8134503 | 445110 | 3856687 | 3832706 | 133896 | 87626 | 3843 | 42427 |
| 2020-06-14T00:00:00Z | 8000607 | 441267 | 3769061 | 3790279 | 134333 | 71408 | 3365 | 59560 |
| 2020-06-13T00:00:00Z | 7866274 | 437902 | 3697653 | 3730719 | 134598 | 85027 | 4400 | 45171 |
| 2020-06-12T00:00:00Z | 7731676 | 433502 | 3612626 | 3685548 | 118757 | 72581 | 3990 | 42186 |
| 2020-06-11T00:00:00Z | 7612919 | 429512 | 3540045 | 3643362 | 154681 | 85889 | 5290 | 63502 |
| 2020-06-10T00:00:00Z | 7458238 | 424222 | 3454156 | 3579860 | 118483 | 79139 | 4833 | 34511 |
| 2020-06-09T00:00:00Z | 7339755 | 419389 | 3375017 | 3545349 | 124338 | 82260 | 4974 | 37104 |
| 2020-06-08T00:00:00Z | 7215417 | 414415 | 3292757 | 3508245 | 109895 | 152488 | 3825 | -46418 |
| 2020-06-07T00:00:00Z | 7105522 | 410590 | 3140269 | 3554663 | 118555 | 55087 | 3039 | 60429 |
+----------------------+-----------+--------+-----------+---------+---------------+---------------+------------+------------+
NIL
The COVID19:FETCH-TIME-SERIES-FOR-CONTINENT function returns
aggregated time series data for a given continent, e.g.
CL-USER> (covid19:display-table
(covid19:fetch-time-series-for-continent *db-conn* "Europe"))
+----------------------+-----------+--------+-----------+---------+---------------+---------------+------------+------------+--------------+--------------------+----------------+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_recovered | new_deaths | new_active | continent_id | continent_iso_code | continent_name |
+----------------------+-----------+--------+-----------+---------+---------------+---------------+------------+------------+--------------+--------------------+----------------+
| 2020-11-18T00:00:00Z | 12791850 | 304380 | 3746938 | 8740532 | 241753 | 120493 | 4784 | 116476 | 6 | EU | Europe |
| 2020-11-17T00:00:00Z | 12550097 | 299596 | 3626445 | 8624056 | 252012 | 135775 | 5390 | 110847 | 6 | EU | Europe |
| 2020-11-16T00:00:00Z | 12298085 | 294206 | 3490670 | 8513209 | 212435 | 112199 | 3745 | 96491 | 6 | EU | Europe |
| 2020-11-15T00:00:00Z | 12085650 | 290461 | 3378471 | 8416718 | 177770 | 62418 | 2530 | 112822 | 6 | EU | Europe |
| 2020-11-14T00:00:00Z | 11907880 | 287931 | 3316053 | 8303896 | 219967 | 84642 | 3366 | 131959 | 6 | EU | Europe |
| 2020-11-13T00:00:00Z | 11687913 | 284565 | 3231411 | 8171937 | 264308 | 91708 | 4371 | 168229 | 6 | EU | Europe |
| 2020-11-12T00:00:00Z | 11423605 | 280194 | 3139703 | 8003708 | 273909 | 72082 | 3985 | 197842 | 6 | EU | Europe |
| 2020-11-11T00:00:00Z | 11149696 | 276209 | 3067621 | 7805866 | 277106 | 90322 | 4620 | 182164 | 6 | EU | Europe |
| 2020-11-10T00:00:00Z | 10872590 | 271589 | 2977299 | 7623702 | 228930 | 135396 | 4894 | 88640 | 6 | EU | Europe |
| 2020-11-09T00:00:00Z | 10643660 | 266695 | 2841903 | 7535062 | 221762 | 66847 | 3174 | 151741 | 6 | EU | Europe |
+----------------------+-----------+--------+-----------+---------+---------------+---------------+------------+------------+--------------+--------------------+----------------+
NIL
If you need to execute a custom query or statement against the
database you can use the COVID19:DB-EXECUTE function.
The following example will fetch a country by given ISO code, using a parameterized query.
CL-USER> (covid19:db-execute *db-conn* "SELECT * FROM country WHERE iso_code = ?" "BG")
((:|id| 44 :|iso_code| "BG" :|name| "Bulgaria" :|slug| "bulgaria"))
You can pass the result of COVID19:DB-EXECUTE to COVID19:DISPLAY-TABLE to
display the results in a nice table format.
If you need to export the data in CSV format you can do that by using
the COVID19:WRITE-CSV function. This example will export all
time series data for a given country.
CL-USER> (with-open-file (out "/tmp/covid19-bg.csv" :direction :output)
(covid19:write-csv (covid19:fetch-time-series-for-country *db-conn* "BG") :stream out))
The following examples assume that you have gnuplot installed already.
In order to plot a graph using the time series data for a given
country you can use the COVID19:PLOT-TIME-SERIES-FOR-COUNTRY
function. The :limit keyword parameter controls how many rows of
data will be fetched from the database.
This example shows how to plot the data for past 90 days for a given country.
CL-USER> (covid19:plot-time-series-for-country *db-conn*
"Bulgaria"
:limit 90)
NIL
This is how the plot looks like at the time of writing this document.
If you want to use lines, instead of filled curves, which is what above plot generated you can specify an alternative template to be used when plotting the graph, e.g.
CL-USER> (covid19:plot-time-series-for-country *db-conn*
"Bulgaria"
:limit 90
:template covid19:*gnuplot-time-series-with-lines-template*)
NIL
The generated graph looks like this.
Another plot function that can be used is COVID19:PLOT-TIME-SERIES-GLOBAL.
CL-USER> (covid19:plot-time-series-global *db-conn* :limit 90)
NIL
The generated graph on a global scale looks like this.
The COVID19:PLOT-TOP-COUNTRIES-BY function can be used to plot countries
by sorting them first on a given column. Here's an example to plot a histogram
per each country based on the latest data from the confirmed column.
CL-USER> (covid19:plot-top-countries-by *db-conn* :column :confirmed :limit 100)
NIL
An example generated graph looks like this.
Another set of useful templates which show the new cases per country
or on global scale are
COVID19:*GNUPLOT-TIME-SERIES-WITH-FILLED-CURVES-NEW-CASES* and
COVID19:*GNUPLOT-TIME-SERIES-WITH-LINES-NEW-CASES*.
CL-USER> (covid19:plot-time-series-for-country *db-conn*
"Italy"
:limit 100
:template covid19:*gnuplot-time-series-with-filled-curves-new-cases-template*)
NIL
The generated graph looks like this, which plots the new cases on daily basis.
The COVID19:PLOT-TIME-SERIES-FOR-CONTINENT function is used for
plotting time-series data for given continent. This example
plots the time series data for Europe.
CL-USER> (covid19:plot-time-series-for-continent *db-conn* "Europe" :limit 300)
The generated graph looks like this.
The COVID19:PLOT-TIME-SERIES-GLOBAL-ANIMATION function creates an
animation of the cases using the global time series data. When
creating an animation you need to specify the destination, where the
animation will be stored at. The :limit keyword parameter in the
example below specifies the number of time series records in ascending
order.
CL-USER> (covid19:plot-time-series-global-animation *db-conn*
#P"/tmp/covid19-global.gif"
:limit 200)
NIL
The generated animation looks like this.
Another function, which creates animations from time-series data is the
COVID19:PLOT-TIME-SERIES-FOR-COUNTRY-ANIMATION.
CL-USER> (covid19:plot-time-series-for-country-animation *db-conn*
"Italy"
#P"/tmp/covid19-it.gif"
:limit 200)
NIL
The generated animation for a given country looks like this.
The :delay, :height, :width and :line-width keyword parameters
can be used to further customize the resulting animation.
You could also render any of the existing gnuplot(1) templates
defined in the COVID19.GNUPLOT-TEMPLATE package and customize them
further, if needed.
In order to do that you need to pass at least two arguments to the template while rendering it - one for the title of the graph, and another one which points to the path containing data points.
The following example shows how to export the data points for a given country to a file, and then renders a template using that file.
CL-USER> (let ((csv-file #P"/tmp/covid19-bg.csv")
(data-points (covid19:fetch-time-series-for-country *db-conn* "Bulgaria" :limit 90)))
(with-open-file (out csv-file :direction :output)
(covid19:write-csv data-points :stream out))
(covid19:render-gnuplot-template covid19:*gnuplot-time-series-with-filled-curves-template*
:title "Bulgaria"
:datafile (namestring csv-file)))
"#
# gnuplot(1) template for plotting time series with filledcurves
#
set title 'Covid19 Cases - Bulgaria'
set grid
set xdata time
set timefmt '%Y-%m-%dT%H:%M:%S+00:00Z'
set format x '%Y-%m-%d'
set xtics rotate by 45 right
set xlabel 'Time'
set ylabel 'Cases'
set key outside right center
set datafile separator ','
set autoscale fix
set style fill transparent solid 0.3
plot '/tmp/covid19-bg.csv' using 1:2:(0) title 'Confirmed' with filledcurves, \\
'' using 1:3:(0) title 'Deaths' with filledcurves, \\
'' using 1:4:(0) title 'Recovered' with filledcurves, \\
'' using 1:5:(0) title 'Active' with filledcurves
"
The cl-covid19 system uses log4cl for logging purposes.
If you need to adjust the logging level (e.g. set it to debug level), simply
evaluate the following expression.
CL-USER> (log:config :debug)
You can import the data from the SQLite database into PostgreSQL using the restore-into-pgsql.sh script.
env SQLITE_DB=/path/to/covid19.db PGSQL_DB=covid19 ./compat/restore-into-pgsql.sh
Grafana can be used for plotting the metrics
from the cl-covid19 database.
As of now you can find the world population dashboard and COVID-19 dashboard in the grafana directory of this repository.
The Grafana dashboards use the PostgreSQL datasource, so first make sure that you import the data from the SQLite database into a PostgreSQL database. You can do that easily by using the restore-into-pgsql.sh script.
Next, import the dashboards into your Grafana instance.
Here are a few screenshots of the World Population and COVID-19 dashboards in Grafana.
This section provides some examples on how to use the API client for interfacing with the COVID-19 API.
The COVID19.API package exports functionality for creating an API
client and fetching data from the remote API endpoint, most of these
symbols are re-exported by the COVID19 package.
First, create an API client.
CL-USER> (defparameter *api-client*
(covid19:make-api-client))
*API-CLIENT*
If you experience timeout issues, you can also change the timeout settings of the HTTP client, e.g.
(setf dexador:*default-connect-timeout* 300)
(setf dexador:*default-read-timeout* 300)
You can get the list of countries by using the COVID19:GET-COUNTRIES-DATA function, e.g.
CL-USER> (covid19.api:get-countries-data *api-client*)
A summarized statistics for COVID-19 can be retrieved by using the COVID19:GET-SUMMARY-DATA
function, e.g.
CL-USER> (covid19.api:get-summary-data *api-client*)
The COVID-19 API provides an endpoint for exporting all data as a ZIP
archive. You can get a ZIP archive of all time series data by using
the COVID19:GET-TIME-SERIES-ARCHIVE function, e.g.
CL-USER> (covid19:get-time-series-archive *api-client* #P"/tmp/all-data.zip")
You can also display the list of available API endpoints by using the
COVID19:DISPLAY-API-ROUTES function, e.g.
CL-USER> (covid19:display-api-routes *api-client*)
An example output looks like this.
.-------------------------------------------------------------------------------------------------------------------------------------------------------------------------.
| API Routes @ v0.0.8 |
+--------------------------------------------------+----------------------------------------------------------------------------------------------------------------------+
| PATH | NAME |
+--------------------------------------------------+----------------------------------------------------------------------------------------------------------------------+
| /webhook | Add a webhook to be notified when new data becomes available |
| /summary | Summary of new and total cases per country |
| /live/country/:country/status/:status | Get a time series Of Cases Per Country Per Province By Case Type |
| /live/country/:country/status/:status/date/:date | Get a Time Series Of Cases Per Country Per Province By Case Type After A Date |
| /live/country/:country | Get Live List Of Cases Per Country Per Province By Case Type |
| /export | Get All Data as a zip file |
| /total/country/:country | Get List Of Cases Per Country By Case Type |
| /total/country/:country/status/:status | Get List Of Cases Per Country By Case Type |
| /country/:country/status/:status | Get List Of Cases Per Country Per Province By Case Type |
| /country/:country/status/:status/live | Daily list of cases per Country per Province by Case Type, updated with latest live count |
| /total/dayone/country/:country/status/:status | Get List Of Cases Per Country By Case Type From The First Recorded Case |
| /dayone/country/:country/status/:status | Get List Of Cases Per Country Per Province By Case Type From The First Recorded Case |
| /dayone/country/:country/status/:status/live | Get List Of Cases Per Country Per Province By Case Type From The First Recorded Case, updated with latest live count |
| /country/:country | Get List Of Cases Per Country Per Province By Case Type |
| /total/dayone/country/:country | Get List Of Cases Per Country By Case Type From The First Recorded Case |
| /dayone/country/:country | Get List Of Cases Per Country Per Province By Case Type From The First Recorded Case |
| /countries | Get List Of Countries |
| /all | Get All Data |
+--------------------------------------------------+----------------------------------------------------------------------------------------------------------------------+
When using the command-line interface of SQLite, you might find these
config settings useful, which you can just drop in your ~/.sqliterc
file.
.headers on
.mode column
.timer on
cl-covid19 is hosted on
Github. Please contribute by
reporting issues, suggesting features or by sending patches using pull
requests.
This project is Open Source and licensed under the BSD License.
Next: Modules, Previous: Introduction, Up: Top [Contents][Index]
The main system appears first, followed by any subsystem dependency.
| • The cl-covid19 system |
cl-covid19
Marin Atanasov Nikolov <dnaeon@gmail.com>
Marin Atanasov Nikolov <dnaeon@gmail.com>
BSD 2-Clause
Common Lisp library and utilities for inspecting COVID-19 data
# Explore COVID-19 data in Common Lisp
The ‘cl-covid19‘ system provides APIs for exploring and reviewing
[COVID-19](https://en.wikipedia.org/wiki/Coronavirus_disease_2019)
data with Common Lisp, SQL, gnuplot and Grafana.
The system fetches time-series data from the [COVID-19
API](https://covid19api.com), and persists it locally in a
[SQLite](https://www.sqlite.org) database, so it can be reviewed
offline.
## Requirements
* [Quicklisp](https://www.quicklisp.org/beta/)
* [SQLite3](https://sqlite.org) dev libraries
* [cl-migratum](https://github.com/dnaeon/cl-migratum) for database migrations
* [gnuplot](http://gnuplot.sourceforge.net) for plotting graphs (optional)
* [Grafana](https://grafana.com) (optional)
* [PostgreSQL](https://www.postgresql.org) (optional)
## Installation
Clone the ‘cl-covid19‘ repo in your [Quicklisp
local-projects](https://www.quicklisp.org/beta/faq.html) directory.
“‘ shell
git clone https://github.com/dnaeon/cl-covid19.git
“‘
Load the system.
“‘ common-lisp
CL-USER> (ql:quickload :cl-covid19)
“‘
## Usage
The following section provides examples to get you started.
## Sample database
You can find an already populated database, that you can use in the
[databases](./databases/) directory of this repo.
### Create Database
First, we need to create a connection to the SQLite database.
“‘ common-lisp
CL-USER> (defparameter *db-conn*
(covid19:make-db-conn "covid19.db"))
*DB-CONN*
“‘
Next, we need to apply the database migrations, so that the database
schema is properly created. Database schema migrations are handled by
[cl-migratum](https://github.com/dnaeon/cl-migratum) system.
“‘ common-lisp
CL-USER> (covid19:migrate-db *db-conn*)
“‘
You should see similar output when applying the database migrations.
“‘ common-lisp
<INFO> [16:01:37] cl-migratum.core core.lisp (apply-pending) -
Found 3 pending migration(s) to be applied
<INFO> [16:01:37] cl-migratum.core core.lisp (apply-and-register) -
Applying migration 20200608135822 - create_countries_table
<INFO> [16:01:37] cl-migratum.core core.lisp (apply-and-register) -
Applying migration 20200611230626 - add_time_series_table
<INFO> [16:01:37] cl-migratum.core core.lisp (apply-and-register) -
Applying migration 20200611234716 - add_time_series_views
“‘
The local SQLite database provides the following tables and views.
| Name | Description |
|—————————————-|————————————————————————————–|
| ‘migration‘ | Contains the applied database migrations |
| ‘continent‘ | Contains rows about each continent |
| ‘country‘ | Contains the countries fetched from the remote API |
| ‘time_series‘ | Time series for each country |
| ‘time_series_global‘ | Aggregated global time series |
| ‘time_series_per_country‘ | Time series data per country |
| ‘time_series_per_country_latest‘ | Latest time series data per country |
| ‘time_series_per_country_weekly_avg‘ | Last 7 days average of new cases per country |
| ‘time_series_per_country_biweekly_avg‘ | Last 14 days average of new cases per country |
| ‘time_series_per_country_per_million‘ | Cases per million population for each country |
| ‘time_series_per_country_incidence‘ | [Incidence](https://blog.covidactnow.org/what-is-covid-incidence/) cases per country |
| ‘time_series_per_continent‘ | Time series data per continent |
| ‘time_series_per_continent_latest‘ | Latest time series data per continent |
| ‘population‘ | Population for each country on yearly basis |
| ‘population_per_country‘ | A view which joins ‘country‘ and ‘population‘ |
| ‘population_per_country_latest‘ | A view returning the latest population per country |
### Create API Client
In order to fetch data from the COVID-19 API, we need to create an
API client.
“‘ common-lisp
CL-USER> (defparameter *api-client*
(covid19:make-api-client))
*API-CLIENT*
“‘
### Updating local database with latest time series data
Using the API client we’ve created in the previous step we can now
fetch the latest time-series data and persist them locally in our
database. In order to do that simply call the
‘COVID19:UPDATE-ALL-DATA‘ function.
“‘ common-lisp
CL-USER> (covid19:update-all-data *api-client* *db-conn*)
T
“‘
You should probably do that once in a day, since time-series data
usually gets updated on daily basis.
### Fetching data from the database
The following examples show how to fetch various data from the
database.
By default each fetch function will return up to
‘COVID19:*DEFAULT-RESULT-LIMIT*‘ number of items. You can either use
the ‘:limit‘ keyword parameter of the fetch function you use, or
rebind the above parameter to a value you want.
Another common parameter used by the various fetch functions is
‘:offset‘, which allows you to skip a given number of items and is
useful for retrieving items in pages, when used in combination with
the ‘:limit‘ keyword parameter.
The ‘:order‘ keyword parameter, used in some fetching functions
controls the order in which items will be returned based on the
‘timestamp‘ column. By default the results will be in descending order
(most recent ones). If you need to return items in ascending order
(oldest to newest ones), you can use the ‘:asc‘ value for the ‘:order‘
keyword parameter.
Here’s how to fetch ten countries using the ‘COVID19:FETCH-COUNTRIES‘
function. You can control the number of results to fetch by using the
‘:limit‘ keyword parameter.
“‘ common-lisp
CL-USER> (covid19:fetch-countries *db-conn* :limit 10)
((:|id| 1 :|iso_code| "JE" :|name| "Jersey" :|slug| "jersey")
(:|id| 2 :|iso_code| "MM" :|name| "Myanmar" :|slug| "myanmar")
(:|id| 3 :|iso_code| "NA" :|name| "Namibia" :|slug| "namibia")
(:|id| 4 :|iso_code| "SO" :|name| "Somalia" :|slug| "somalia")
(:|id| 5 :|iso_code| "AU" :|name| "Australia" :|slug| "australia")
(:|id| 6 :|iso_code| "GD" :|name| "Grenada" :|slug| "grenada")
(:|id| 7 :|iso_code| "JP" :|name| "Japan" :|slug| "japan")
(:|id| 8 :|iso_code| "QA" :|name| "Qatar" :|slug| "qatar")
(:|id| 9 :|iso_code| "UM" :|name| "US Minor Outlying Islands" :|slug|
"us-minor-outlying-islands")
(:|id| 10 :|iso_code| "AG" :|name| "Antigua and Barbuda" :|slug|
"antigua-and-barbuda"))
“‘
You can also use the ‘COVID19:DISPLAY-TABLE‘ function to display a
table of the fetched results from your REPL.
“‘ common-lisp
CL-USER> (covid19:display-table
(covid19:fetch-countries *db-conn* :limit 10))
+—-+———-+—————————+—————————+
| id | iso_code | name | slug |
+—-+———-+—————————+—————————+
| 1 | JE | Jersey | jersey |
| 2 | MM | Myanmar | myanmar |
| 3 | NA | Namibia | namibia |
| 4 | SO | Somalia | somalia |
| 5 | AU | Australia | australia |
| 6 | GD | Grenada | grenada |
| 7 | JP | Japan | japan |
| 8 | QA | Qatar | qatar |
| 9 | UM | US Minor Outlying Islands | us-minor-outlying-islands |
| 10 | AG | Antigua and Barbuda | antigua-and-barbuda |
+—-+———-+—————————+—————————+
NIL
“‘
In order to get a specific country by either name or ISO code you can use the
‘COVID19:FETCH-COUNTRY‘ function, e.g.
“‘ common-lisp
CL-USER> (covid19:fetch-country *db-conn* "BG")
((:|id| 44 :|iso_code| "BG" :|name| "Bulgaria" :|slug| "bulgaria"))
“‘
Time series data can be fetched using the ‘COVID19:FETCH-TIME-SERIES‘
function. The results will contain historical records for each
country, ordered by timestamp in descending order.
“‘ common-lisp
CL-USER> (covid19:display-table
(covid19:fetch-time-series *db-conn* :limit 10))
+———————-+———–+——–+———–+——–+—————+————+—————+————+————+———————+———————+——————+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_deaths | new_recovered | new_active | country_id | country_name | country_slug | country_iso_code |
+———————-+———–+——–+———–+——–+—————+————+—————+————+————+———————+———————+——————+
| 2020-06-16T00:00:00Z | 262 | 6 | 179 | 77 | 0 | 0 | 4 | -4 | 2 | Myanmar | myanmar | MM |
| 2020-06-16T00:00:00Z | 34 | 0 | 18 | 16 | 2 | 0 | 1 | 1 | 3 | Namibia | namibia | NA |
| 2020-06-16T00:00:00Z | 2658 | 88 | 649 | 1921 | 16 | 0 | 27 | -11 | 4 | Somalia | somalia | SO |
| 2020-06-16T00:00:00Z | 7370 | 102 | 6861 | 407 | 23 | 0 | 5 | 18 | 5 | Australia | australia | AU |
| 2020-06-16T00:00:00Z | 23 | 0 | 22 | 1 | 0 | 0 | 0 | 0 | 6 | Grenada | grenada | GD |
| 2020-06-16T00:00:00Z | 17484 | 934 | 15652 | 898 | 45 | 5 | 85 | -45 | 7 | Japan | japan | JP |
| 2020-06-16T00:00:00Z | 82077 | 80 | 60461 | 21536 | 1201 | 4 | 1780 | -583 | 8 | Qatar | qatar | QA |
| 2020-06-16T00:00:00Z | 26 | 3 | 22 | 1 | 0 | 0 | 2 | -2 | 10 | Antigua and Barbuda | antigua-and-barbuda | AG |
| 2020-06-16T00:00:00Z | 532 | 9 | 236 | 287 | 49 | 0 | 4 | 45 | 11 | Benin | benin | BJ |
| 2020-06-16T00:00:00Z | 8931 | 212 | 7937 | 782 | 46 | 0 | 109 | -63 | 12 | Morocco | morocco | MA |
+———————-+———–+——–+———–+——–+—————+————+—————+————+————+———————+———————+——————+
NIL
“‘
If you want to get the time-series data for a given country you can
use ‘COVID19:FETCH-TIME-SERIES-FOR-COUNTRY‘. The following command will
return the data for the past 10 days.
“‘ common-lisp
CL-USER> (covid19:display-table
(covid19:fetch-time-series-for-country *db-conn* "Bulgaria" :limit 10))
+———————-+———–+——–+———–+——–+—————+————+—————+————+————+————–+————–+——————+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_deaths | new_recovered | new_active | country_id | country_name | country_slug | country_iso_code |
+———————-+———–+——–+———–+——–+—————+————+—————+————+————+————–+————–+——————+
| 2020-06-16T00:00:00Z | 3453 | 181 | 1817 | 1455 | 112 | 5 | 33 | 74 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-15T00:00:00Z | 3341 | 176 | 1784 | 1381 | 51 | 2 | 54 | -5 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-14T00:00:00Z | 3290 | 174 | 1730 | 1386 | 24 | 2 | 7 | 15 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-13T00:00:00Z | 3266 | 172 | 1723 | 1371 | 75 | 0 | 7 | 68 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-12T00:00:00Z | 3191 | 172 | 1716 | 1303 | 105 | 4 | 28 | 73 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-11T00:00:00Z | 3086 | 168 | 1688 | 1230 | 93 | 1 | 24 | 68 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-10T00:00:00Z | 2993 | 167 | 1664 | 1162 | 104 | 0 | 41 | 63 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-09T00:00:00Z | 2889 | 167 | 1623 | 1099 | 79 | 3 | 36 | 40 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-08T00:00:00Z | 2810 | 164 | 1587 | 1059 | 83 | 4 | 39 | 40 | 44 | Bulgaria | bulgaria | BG |
| 2020-06-07T00:00:00Z | 2727 | 160 | 1548 | 1019 | 16 | 0 | 3 | 13 | 44 | Bulgaria | bulgaria | BG |
+———————-+———–+——–+———–+——–+—————+————+—————+————+————+————–+————–+——————+
NIL
“‘
Latest (most recent) time-series data per country can be fetched using
the ‘COVID19:FETCH-TIME-SERIES-LATEST‘ function, e.g.
“‘ common-lisp
CL-USER> (covid19:display-table
(covid19:fetch-time-series-latest *db-conn* :limit 5))
+———————-+———–+——–+———–+——–+—————+————+—————+————+————+————–+————–+——————+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_deaths | new_recovered | new_active | country_id | country_name | country_slug | country_iso_code |
+———————-+———–+——–+———–+——–+—————+————+—————+————+————+————–+————–+——————+
| 2020-06-16T00:00:00Z | 262 | 6 | 179 | 77 | 0 | 0 | 4 | -4 | 2 | Myanmar | myanmar | MM |
| 2020-06-16T00:00:00Z | 34 | 0 | 18 | 16 | 2 | 0 | 1 | 1 | 3 | Namibia | namibia | NA |
| 2020-06-16T00:00:00Z | 2658 | 88 | 649 | 1921 | 16 | 0 | 27 | -11 | 4 | Somalia | somalia | SO |
| 2020-06-16T00:00:00Z | 7370 | 102 | 6861 | 407 | 23 | 0 | 5 | 18 | 5 | Australia | australia | AU |
| 2020-06-16T00:00:00Z | 23 | 0 | 22 | 1 | 0 | 0 | 0 | 0 | 6 | Grenada | grenada | GD |
+———————-+———–+——–+———–+——–+—————+————+—————+————+————+————–+————–+——————+
NIL
“‘
In order to fetch the top countries by given column you can use the
‘COVID19:FETCH-TOP-COUNTRIES-BY‘ function. The following example will
display the top 5 countries by ‘confirmed‘ cases.
“‘ common-lisp
CL-USER> (mapcar (lambda (item)
(getf item :|country_name|))
(covid19:fetch-top-countries-by *db-conn* :column :confirmed :limit 5))
("United States of America" "Brazil" "Russian Federation" "India"
"United Kingdom")
“‘
The ‘COVID19:FETCH-TIME-SERIES-GLOBAL‘ function returns the aggregated
time series on a global scale. The following example will display the
stats for the past 10 days.
“‘ common-lisp
CL-USER> (covid19:display-table
(covid19:fetch-time-series-global *db-conn* :limit 10))
+———————-+———–+——–+———–+———+—————+—————+————+————+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_recovered | new_deaths | new_active |
+———————-+———–+——–+———–+———+—————+—————+————+————+
| 2020-06-16T00:00:00Z | 8274306 | 451939 | 3954518 | 3867849 | 139803 | 97831 | 6829 | 35143 |
| 2020-06-15T00:00:00Z | 8134503 | 445110 | 3856687 | 3832706 | 133896 | 87626 | 3843 | 42427 |
| 2020-06-14T00:00:00Z | 8000607 | 441267 | 3769061 | 3790279 | 134333 | 71408 | 3365 | 59560 |
| 2020-06-13T00:00:00Z | 7866274 | 437902 | 3697653 | 3730719 | 134598 | 85027 | 4400 | 45171 |
| 2020-06-12T00:00:00Z | 7731676 | 433502 | 3612626 | 3685548 | 118757 | 72581 | 3990 | 42186 |
| 2020-06-11T00:00:00Z | 7612919 | 429512 | 3540045 | 3643362 | 154681 | 85889 | 5290 | 63502 |
| 2020-06-10T00:00:00Z | 7458238 | 424222 | 3454156 | 3579860 | 118483 | 79139 | 4833 | 34511 |
| 2020-06-09T00:00:00Z | 7339755 | 419389 | 3375017 | 3545349 | 124338 | 82260 | 4974 | 37104 |
| 2020-06-08T00:00:00Z | 7215417 | 414415 | 3292757 | 3508245 | 109895 | 152488 | 3825 | -46418 |
| 2020-06-07T00:00:00Z | 7105522 | 410590 | 3140269 | 3554663 | 118555 | 55087 | 3039 | 60429 |
+———————-+———–+——–+———–+———+—————+—————+————+————+
NIL
“‘
The ‘COVID19:FETCH-TIME-SERIES-FOR-CONTINENT‘ function returns
aggregated time series data for a given continent, e.g.
“‘ common-lisp
CL-USER> (covid19:display-table
(covid19:fetch-time-series-for-continent *db-conn* "Europe"))
+———————-+———–+——–+———–+———+—————+—————+————+————+————–+——————–+—————-+
| timestamp | confirmed | deaths | recovered | active | new_confirmed | new_recovered | new_deaths | new_active | continent_id | continent_iso_code | continent_name |
+———————-+———–+——–+———–+———+—————+—————+————+————+————–+——————–+—————-+
| 2020-11-18T00:00:00Z | 12791850 | 304380 | 3746938 | 8740532 | 241753 | 120493 | 4784 | 116476 | 6 | EU | Europe |
| 2020-11-17T00:00:00Z | 12550097 | 299596 | 3626445 | 8624056 | 252012 | 135775 | 5390 | 110847 | 6 | EU | Europe |
| 2020-11-16T00:00:00Z | 12298085 | 294206 | 3490670 | 8513209 | 212435 | 112199 | 3745 | 96491 | 6 | EU | Europe |
| 2020-11-15T00:00:00Z | 12085650 | 290461 | 3378471 | 8416718 | 177770 | 62418 | 2530 | 112822 | 6 | EU | Europe |
| 2020-11-14T00:00:00Z | 11907880 | 287931 | 3316053 | 8303896 | 219967 | 84642 | 3366 | 131959 | 6 | EU | Europe |
| 2020-11-13T00:00:00Z | 11687913 | 284565 | 3231411 | 8171937 | 264308 | 91708 | 4371 | 168229 | 6 | EU | Europe |
| 2020-11-12T00:00:00Z | 11423605 | 280194 | 3139703 | 8003708 | 273909 | 72082 | 3985 | 197842 | 6 | EU | Europe |
| 2020-11-11T00:00:00Z | 11149696 | 276209 | 3067621 | 7805866 | 277106 | 90322 | 4620 | 182164 | 6 | EU | Europe |
| 2020-11-10T00:00:00Z | 10872590 | 271589 | 2977299 | 7623702 | 228930 | 135396 | 4894 | 88640 | 6 | EU | Europe |
| 2020-11-09T00:00:00Z | 10643660 | 266695 | 2841903 | 7535062 | 221762 | 66847 | 3174 | 151741 | 6 | EU | Europe |
+———————-+———–+——–+———–+———+—————+—————+————+————+————–+——————–+—————-+
NIL
“‘
### Executing database queries
If you need to execute a custom query or statement against the
database you can use the ‘COVID19:DB-EXECUTE‘ function.
The following example will fetch a country by given ISO code,
using a parameterized query.
“‘ common-lisp
CL-USER> (covid19:db-execute *db-conn* "SELECT * FROM country WHERE iso_code = ?" "BG")
((:|id| 44 :|iso_code| "BG" :|name| "Bulgaria" :|slug| "bulgaria"))
“‘
You can pass the result of ‘COVID19:DB-EXECUTE‘ to ‘COVID19:DISPLAY-TABLE‘ to
display the results in a nice table format.
### Exporting data to CSV
If you need to export the data in CSV format you can do that by using
the ‘COVID19:WRITE-CSV‘ function. This example will export all
time series data for a given country.
“‘ common-lisp
CL-USER> (with-open-file (out "/tmp/covid19-bg.csv" :direction :output)
(covid19:write-csv (covid19:fetch-time-series-for-country *db-conn* "BG") :stream out))
“‘
### Plotting graphs
The following examples assume that you have
[gnuplot](http://gnuplot.sourceforge.net) installed already.
In order to plot a graph using the time series data for a given
country you can use the ‘COVID19:PLOT-TIME-SERIES-FOR-COUNTRY‘
function. The ‘:limit‘ keyword parameter controls how many rows of
data will be fetched from the database.
This example shows how to plot the data for past 90 days for a given
country.
“‘ common-lisp
CL-USER> (covid19:plot-time-series-for-country *db-conn*
"Bulgaria"
:limit 90)
NIL
“‘
This is how the plot looks like at the time of writing this document.
If you want to use lines, instead of filled curves, which is what
above plot generated you can specify an alternative template to be
used when plotting the graph, e.g.
“‘ common-lisp
CL-USER> (covid19:plot-time-series-for-country *db-conn*
"Bulgaria"
:limit 90
:template covid19:*gnuplot-time-series-with-lines-template*)
NIL
“‘
The generated graph looks like this.
Another plot function that can be used is ‘COVID19:PLOT-TIME-SERIES-GLOBAL‘.
“‘ common-lisp
CL-USER> (covid19:plot-time-series-global *db-conn* :limit 90)
NIL
“‘
The generated graph on a global scale looks like this.
The ‘COVID19:PLOT-TOP-COUNTRIES-BY‘ function can be used to plot countries
by sorting them first on a given column. Here’s an example to plot a histogram
per each country based on the latest data from the ‘confirmed‘ column.
“‘ common-lisp
CL-USER> (covid19:plot-top-countries-by *db-conn* :column :confirmed :limit 100)
NIL
“‘
An example generated graph looks like this.
Another set of useful templates which show the new cases per country
or on global scale are
‘COVID19:*GNUPLOT-TIME-SERIES-WITH-FILLED-CURVES-NEW-CASES*‘ and
‘COVID19:*GNUPLOT-TIME-SERIES-WITH-LINES-NEW-CASES*‘.
“‘ common-lisp
CL-USER> (covid19:plot-time-series-for-country *db-conn*
"Italy"
:limit 100
:template covid19:*gnuplot-time-series-with-filled-curves-new-cases-template*)
NIL
“‘
The generated graph looks like this, which plots the new cases on
daily basis.
The ‘COVID19:PLOT-TIME-SERIES-FOR-CONTINENT‘ function is used for
plotting time-series data for given continent. This example
plots the time series data for ‘Europe‘.
“‘ common-lisp
CL-USER> (covid19:plot-time-series-for-continent *db-conn* "Europe" :limit 300)
“‘
The generated graph looks like this.
The ‘COVID19:PLOT-TIME-SERIES-GLOBAL-ANIMATION‘ function creates an
animation of the cases using the global time series data. When
creating an animation you need to specify the destination, where the
animation will be stored at. The ‘:limit‘ keyword parameter in the
example below specifies the number of time series records in ascending
order.
“‘ common-lisp
CL-USER> (covid19:plot-time-series-global-animation *db-conn*
#P"/tmp/covid19-global.gif"
:limit 200)
NIL
“‘
The generated animation looks like this.
Another function, which creates animations from time-series data is the
‘COVID19:PLOT-TIME-SERIES-FOR-COUNTRY-ANIMATION‘.
“‘ common-lisp
CL-USER> (covid19:plot-time-series-for-country-animation *db-conn*
"Italy"
#P"/tmp/covid19-it.gif"
:limit 200)
NIL
“‘
The generated animation for a given country looks like this.
The ‘:delay‘, ‘:height‘, ‘:width‘ and ‘:line-width‘ keyword parameters
can be used to further customize the resulting animation.
You could also render any of the existing ‘gnuplot(1)‘ templates
defined in the ‘COVID19.GNUPLOT-TEMPLATE‘ package and customize them
further, if needed.
In order to do that you need to pass at least two arguments to the
template while rendering it - one for the title of the graph, and
another one which points to the path containing data points.
The following example shows how to export the data points for a given country to a
file, and then renders a template using that file.
“‘ common-lisp
CL-USER> (let ((csv-file #P"/tmp/covid19-bg.csv")
(data-points (covid19:fetch-time-series-for-country *db-conn* "Bulgaria" :limit 90)))
(with-open-file (out csv-file :direction :output)
(covid19:write-csv data-points :stream out))
(covid19:render-gnuplot-template covid19:*gnuplot-time-series-with-filled-curves-template*
:title "Bulgaria"
:datafile (namestring csv-file)))
"#
# gnuplot(1) template for plotting time series with filledcurves
#
set title ’Covid19 Cases - Bulgaria’
set grid
set xdata time
set timefmt ’%Y-%m-%dT%H:%M:%S+00:00Z’
set format x ’%Y-%m-%d’
set xtics rotate by 45 right
set xlabel ’Time’
set ylabel ’Cases’
set key outside right center
set datafile separator ’,’
set autoscale fix
set style fill transparent solid 0.3
plot ’/tmp/covid19-bg.csv’ using 1:2:(0) title ’Confirmed’ with filledcurves, \\
” using 1:3:(0) title ’Deaths’ with filledcurves, \\
” using 1:4:(0) title ’Recovered’ with filledcurves, \\
” using 1:5:(0) title ’Active’ with filledcurves
"
“‘
### Debug logging
The ‘cl-covid19‘ system uses ‘log4cl‘ for logging purposes.
If you need to adjust the logging level (e.g. set it to ‘debug‘ level), simply
evaluate the following expression.
“‘ common-lisp
CL-USER> (log:config :debug)
“‘
## Importing data into PostgreSQL
You can import the data from the SQLite database into PostgreSQL using
the [restore-into-pgsql.sh](./compat/restore-into-pgsql.sh) script.
“‘ shell
env SQLITE_DB=/path/to/covid19.db PGSQL_DB=covid19 ./compat/restore-into-pgsql.sh
“‘
## Grafana
[Grafana](https://grafana.com) can be used for plotting the metrics
from the ‘cl-covid19‘ database.
As of now you can find the [world population
dashboard](./grafana/world-population-dashboard.json) and [COVID-19
dashboard](./grafana/covid19-dashboard.json) in the
[grafana](./grafana) directory of this repository.
The Grafana dashboards use the [PostgreSQL
datasource](https://grafana.com/docs/grafana/latest/datasources/postgres/),
so first make sure that you import the data from the SQLite database
into a PostgreSQL database. You can do that easily by using the
[restore-into-pgsql.sh](./compat/restore-into-pgsql.sh) script.
Next, import the dashboards into your Grafana instance.
Here are a few screenshots of the World Population and COVID-19
dashboards in Grafana.
## API Client Usage
This section provides some examples on how to use the API client for
interfacing with the [COVID-19 API](https://covid19api.com).
The ‘COVID19.API‘ package exports functionality for creating an API
client and fetching data from the remote API endpoint, most of these
symbols are re-exported by the ‘COVID19‘ package.
First, create an API client.
“‘ common-lisp
CL-USER> (defparameter *api-client*
(covid19:make-api-client))
*API-CLIENT*
“‘
If you experience timeout issues, you can also change the timeout
settings of the HTTP client, e.g.
“‘ common-lisp
(setf dexador:*default-connect-timeout* 300)
(setf dexador:*default-read-timeout* 300)
“‘
You can get the list of countries by using the ‘COVID19:GET-COUNTRIES-DATA‘ function, e.g.
“‘ common-lisp
CL-USER> (covid19.api:get-countries-data *api-client*)
“‘
A summarized statistics for COVID-19 can be retrieved by using the ‘COVID19:GET-SUMMARY-DATA‘
function, e.g.
“‘ common-lisp
CL-USER> (covid19.api:get-summary-data *api-client*)
“‘
The COVID-19 API provides an endpoint for exporting all data as a ZIP
archive. You can get a ZIP archive of all time series data by using
the ‘COVID19:GET-TIME-SERIES-ARCHIVE‘ function, e.g.
“‘ common-lisp
CL-USER> (covid19:get-time-series-archive *api-client* #P"/tmp/all-data.zip")
“‘
You can also display the list of available API endpoints by using the
‘COVID19:DISPLAY-API-ROUTES‘ function, e.g.
“‘ common-lisp
CL-USER> (covid19:display-api-routes *api-client*)
“‘
An example output looks like this.
“‘ text
.————————————————————————————————————————————————————————-.
| API Routes @ v0.0.8 |
+————————————————–+———————————————————————————————————————-+
| PATH | NAME |
+————————————————–+———————————————————————————————————————-+
| /webhook | Add a webhook to be notified when new data becomes available |
| /summary | Summary of new and total cases per country |
| /live/country/:country/status/:status | Get a time series Of Cases Per Country Per Province By Case Type |
| /live/country/:country/status/:status/date/:date | Get a Time Series Of Cases Per Country Per Province By Case Type After A Date |
| /live/country/:country | Get Live List Of Cases Per Country Per Province By Case Type |
| /export | Get All Data as a zip file |
| /total/country/:country | Get List Of Cases Per Country By Case Type |
| /total/country/:country/status/:status | Get List Of Cases Per Country By Case Type |
| /country/:country/status/:status | Get List Of Cases Per Country Per Province By Case Type |
| /country/:country/status/:status/live | Daily list of cases per Country per Province by Case Type, updated with latest live count |
| /total/dayone/country/:country/status/:status | Get List Of Cases Per Country By Case Type From The First Recorded Case |
| /dayone/country/:country/status/:status | Get List Of Cases Per Country Per Province By Case Type From The First Recorded Case |
| /dayone/country/:country/status/:status/live | Get List Of Cases Per Country Per Province By Case Type From The First Recorded Case, updated with latest live count |
| /country/:country | Get List Of Cases Per Country Per Province By Case Type |
| /total/dayone/country/:country | Get List Of Cases Per Country By Case Type From The First Recorded Case |
| /dayone/country/:country | Get List Of Cases Per Country Per Province By Case Type From The First Recorded Case |
| /countries | Get List Of Countries |
| /all | Get All Data |
+————————————————–+———————————————————————————————————————-+
“‘
## Various ~/.sqliterc config settings
When using the command-line interface of SQLite, you might find these
config settings useful, which you can just drop in your ‘~/.sqliterc‘
file.
“‘ text
.headers on
.mode column
.timer on
“‘
## Contributing
‘cl-covid19‘ is hosted on
[Github](https://github.com/dnaeon/cl-covid19). Please contribute by
reporting issues, suggesting features or by sending patches using pull
requests.
## Authors
* [Marin Atanasov Nikolov](mailto:dnaeon@gmail.com)
## License
This project is Open Source and licensed under the [BSD
License](http://opensource.org/licenses/BSD-2-Clause).
0.3.0
cl-covid19.asd (file)
Modules are listed depth-first from the system components tree.
Next: The cl-covid19/gnuplot-templates module, Previous: Modules, Up: Modules [Contents][Index]
cl-covid19 (system)
migrations/
Next: The cl-covid19/sample-database module, Previous: The cl-covid19/migrations module, Up: Modules [Contents][Index]
cl-covid19 (system)
templates/
Next: The cl-covid19/misc module, Previous: The cl-covid19/gnuplot-templates module, Up: Modules [Contents][Index]
cl-covid19 (system)
databases/
covid19.db (file)
Next: The cl-covid19/core module, Previous: The cl-covid19/sample-database module, Up: Modules [Contents][Index]
cl-covid19 (system)
misc/
Next: The cl-covid19/client-package module, Previous: The cl-covid19/misc module, Up: Modules [Contents][Index]
cl-covid19 (system)
src/
Previous: The cl-covid19/core module, Up: Modules [Contents][Index]
core (module)
cl-covid19 (system)
src/
package.lisp (file)
Files are sorted by type and then listed depth-first from the systems components trees.
| • Lisp files | ||
| • Static files |
Next: Static files, Previous: Files, Up: Files [Contents][Index]
Next: The cl-covid19/core/util․lisp file, Previous: Lisp files, Up: Lisp files [Contents][Index]
cl-covid19.asd
cl-covid19 (system)
Next: The cl-covid19/core/api․lisp file, Previous: The cl-covid19․asd file, Up: Lisp files [Contents][Index]
core (module)
src/util.lisp
Next: The cl-covid19/core/db․lisp file, Previous: The cl-covid19/core/util․lisp file, Up: Lisp files [Contents][Index]
util.lisp (file)
core (module)
src/api.lisp
*endpoint* (special variable)
Next: The cl-covid19/core/gnuplot-template․lisp file, Previous: The cl-covid19/core/api․lisp file, Up: Lisp files [Contents][Index]
api.lisp (file)
core (module)
src/db.lisp
Next: The cl-covid19/core/core․lisp file, Previous: The cl-covid19/core/db․lisp file, Up: Lisp files [Contents][Index]
db.lisp (file)
core (module)
src/gnuplot-template.lisp
Next: The cl-covid19/client-package/package․lisp file, Previous: The cl-covid19/core/gnuplot-template․lisp file, Up: Lisp files [Contents][Index]
gnuplot-template.lisp (file)
core (module)
src/core.lisp
Previous: The cl-covid19/core/core․lisp file, Up: Lisp files [Contents][Index]
client-package (module)
src/package.lisp
Previous: Lisp files, Up: Files [Contents][Index]
Next: The cl-covid19/migrations/20200608135822-create_countries_table․up․sql file, Previous: Static files, Up: Static files [Contents][Index]
migrations (module)
migrations/20200608135822-create_countries_table.down.sql
Next: The cl-covid19/migrations/20200611230626-add_time_series_table․down․sql file, Previous: The cl-covid19/migrations/20200608135822-create_countries_table․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20200608135822-create_countries_table.up.sql
Next: The cl-covid19/migrations/20200611230626-add_time_series_table․up․sql file, Previous: The cl-covid19/migrations/20200608135822-create_countries_table․up․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20200611230626-add_time_series_table.down.sql
Next: The cl-covid19/migrations/20200611234716-add_time_series_views․down․sql file, Previous: The cl-covid19/migrations/20200611230626-add_time_series_table․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20200611230626-add_time_series_table.up.sql
Next: The cl-covid19/migrations/20200611234716-add_time_series_views․up․sql file, Previous: The cl-covid19/migrations/20200611230626-add_time_series_table․up․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20200611234716-add_time_series_views.down.sql
Next: The cl-covid19/migrations/20201120141202-add_continent_table․down․sql file, Previous: The cl-covid19/migrations/20200611234716-add_time_series_views․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20200611234716-add_time_series_views.up.sql
Next: The cl-covid19/migrations/20201120141202-add_continent_table․up․sql file, Previous: The cl-covid19/migrations/20200611234716-add_time_series_views․up․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201120141202-add_continent_table.down.sql
Next: The cl-covid19/migrations/20201120154405-add_continent_to_country_table․down․sql file, Previous: The cl-covid19/migrations/20201120141202-add_continent_table․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201120141202-add_continent_table.up.sql
Next: The cl-covid19/migrations/20201120154405-add_continent_to_country_table․up․sql file, Previous: The cl-covid19/migrations/20201120141202-add_continent_table․up․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201120154405-add_continent_to_country_table.down.sql
Next: The cl-covid19/migrations/20201123170702-fix_time_series_per_continent_view․down․sql file, Previous: The cl-covid19/migrations/20201120154405-add_continent_to_country_table․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201120154405-add_continent_to_country_table.up.sql
Next: The cl-covid19/migrations/20201123170702-fix_time_series_per_continent_view․up․sql file, Previous: The cl-covid19/migrations/20201120154405-add_continent_to_country_table․up․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201123170702-fix_time_series_per_continent_view.down.sql
Next: The cl-covid19/migrations/20201124133919-add_weekly_avg_time_series_per_country․down․sql file, Previous: The cl-covid19/migrations/20201123170702-fix_time_series_per_continent_view․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201123170702-fix_time_series_per_continent_view.up.sql
Next: The cl-covid19/migrations/20201124133919-add_weekly_avg_time_series_per_country․up․sql file, Previous: The cl-covid19/migrations/20201123170702-fix_time_series_per_continent_view․up․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201124133919-add_weekly_avg_time_series_per_country.down.sql
Next: The cl-covid19/migrations/20201125182526-add_population_per_country_latest_view․down․sql file, Previous: The cl-covid19/migrations/20201124133919-add_weekly_avg_time_series_per_country․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201124133919-add_weekly_avg_time_series_per_country.up.sql
Next: The cl-covid19/migrations/20201125182526-add_population_per_country_latest_view․up․sql file, Previous: The cl-covid19/migrations/20201124133919-add_weekly_avg_time_series_per_country․up․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201125182526-add_population_per_country_latest_view.down.sql
Next: The cl-covid19/migrations/20201125183417-add_cases_per_country_per_million․down․sql file, Previous: The cl-covid19/migrations/20201125182526-add_population_per_country_latest_view․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201125182526-add_population_per_country_latest_view.up.sql
Next: The cl-covid19/migrations/20201125183417-add_cases_per_country_per_million․up․sql file, Previous: The cl-covid19/migrations/20201125182526-add_population_per_country_latest_view․up․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201125183417-add_cases_per_country_per_million.down.sql
Next: The cl-covid19/migrations/20201125185413-add_incidence_per_country_view․down․sql file, Previous: The cl-covid19/migrations/20201125183417-add_cases_per_country_per_million․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201125183417-add_cases_per_country_per_million.up.sql
Next: The cl-covid19/migrations/20201125185413-add_incidence_per_country_view․up․sql file, Previous: The cl-covid19/migrations/20201125183417-add_cases_per_country_per_million․up․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201125185413-add_incidence_per_country_view.down.sql
Next: The cl-covid19/gnuplot-templates/histograms-per-country․plt file, Previous: The cl-covid19/migrations/20201125185413-add_incidence_per_country_view․down․sql file, Up: Static files [Contents][Index]
migrations (module)
migrations/20201125185413-add_incidence_per_country_view.up.sql
Next: The cl-covid19/gnuplot-templates/time-series-with-filled-curves-new-cases․plt file, Previous: The cl-covid19/migrations/20201125185413-add_incidence_per_country_view․up․sql file, Up: Static files [Contents][Index]
gnuplot-templates (module)
templates/histograms-per-country.plt
Next: The cl-covid19/gnuplot-templates/time-series-with-filled-curves․plt file, Previous: The cl-covid19/gnuplot-templates/histograms-per-country․plt file, Up: Static files [Contents][Index]
gnuplot-templates (module)
templates/time-series-with-filled-curves-new-cases.plt
Next: The cl-covid19/gnuplot-templates/time-series-with-lines-new-cases․plt file, Previous: The cl-covid19/gnuplot-templates/time-series-with-filled-curves-new-cases․plt file, Up: Static files [Contents][Index]
gnuplot-templates (module)
templates/time-series-with-filled-curves.plt
Next: The cl-covid19/gnuplot-templates/time-series-with-lines․plt file, Previous: The cl-covid19/gnuplot-templates/time-series-with-filled-curves․plt file, Up: Static files [Contents][Index]
gnuplot-templates (module)
templates/time-series-with-lines-new-cases.plt
Next: The cl-covid19/sample-database/covid19․db file, Previous: The cl-covid19/gnuplot-templates/time-series-with-lines-new-cases․plt file, Up: Static files [Contents][Index]
gnuplot-templates (module)
templates/time-series-with-lines.plt
Next: The cl-covid19/misc/continent-codes․json file, Previous: The cl-covid19/gnuplot-templates/time-series-with-lines․plt file, Up: Static files [Contents][Index]
sample-database (module)
databases/covid19.db
Next: The cl-covid19/misc/country-and-continent-codes-list․json file, Previous: The cl-covid19/sample-database/covid19․db file, Up: Static files [Contents][Index]
misc (module)
misc/continent-codes.json
Next: The cl-covid19/misc/un_population_2019․csv file, Previous: The cl-covid19/misc/continent-codes․json file, Up: Static files [Contents][Index]
misc (module)
misc/country-and-continent-codes-list.json
Previous: The cl-covid19/misc/country-and-continent-codes-list․json file, Up: Static files [Contents][Index]
misc (module)
misc/UN_Population_2019.csv
Next: Definitions, Previous: Files, Up: Top [Contents][Index]
Packages are listed by definition order.
Next: The cl-covid19․util package, Previous: Packages, Up: Packages [Contents][Index]
cl-covid19.asd
Next: The cl-covid19․api package, Previous: The cl-covid19-system package, Up: Packages [Contents][Index]
util.lisp (file)
covid19.util
common-lisp
Next: The cl-covid19․db package, Previous: The cl-covid19․util package, Up: Packages [Contents][Index]
api.lisp (file)
covid19.api
common-lisp
*endpoint* (special variable)
Next: The cl-covid19․gnuplot-template package, Previous: The cl-covid19․api package, Up: Packages [Contents][Index]
db.lisp (file)
covid19.db
common-lisp
Next: The cl-covid19․core package, Previous: The cl-covid19․db package, Up: Packages [Contents][Index]
gnuplot-template.lisp (file)
covid19.gnuplot-template
common-lisp
Next: The cl-covid19 package, Previous: The cl-covid19․gnuplot-template package, Up: Packages [Contents][Index]
core.lisp (file)
covid19.core
common-lisp
Previous: The cl-covid19․core package, Up: Packages [Contents][Index]
package.lisp (file)
covid19
common-lisp
Definitions are sorted by export status, category, package, and then by lexicographic order.
| • Exported definitions | ||
| • Internal definitions |
Next: Internal definitions, Previous: Definitions, Up: Definitions [Contents][Index]
| • Exported special variables | ||
| • Exported functions | ||
| • Exported generic functions | ||
| • Exported classes |
Next: Exported functions, Previous: Exported definitions, Up: Exported definitions [Contents][Index]
The default number of items to return when fetching data from the database
core.lisp (file)
gnuplot(1) template for plotting histograms per country
gnuplot-template.lisp (file)
gnuplot(1) template for plotting an animation of time-series data with lines
gnuplot-template.lisp (file)
gnuplot(1) template for plotting time-series data of new cases with filled curves
gnuplot-template.lisp (file)
gnuplot(1) template for plotting time-series data with filled curves
gnuplot-template.lisp (file)
gnuplot(1) template for plotting time-series data of new cases with lines
gnuplot-template.lisp (file)
gnuplot(1) template for plotting time-series data with lines
gnuplot-template.lisp (file)
Path to the SQL migrations
db.lisp (file)
Next: Exported generic functions, Previous: Exported special variables, Up: Exported definitions [Contents][Index]
Retrieves the remote API version
api.lisp (file)
Execute a given statement against the database
db.lisp (file)
Disconnects from the database
db.lisp (file)
Display the API routes in a table
api.lisp (file)
Displays a table view of the items. Useful when used in combination with COVID19:DB-EXECUTE results
core.lisp (file)
Fetch a continent by name or code from the database
core.lisp (file)
Fetch continents from the database
core.lisp (file)
Fetch countries from the database
core.lisp (file)
Fetch a country by name from the database
core.lisp (file)
Fetches time series data from the database
core.lisp (file)
Fetch time series data for a given continent from the database
core.lisp (file)
Fetch time series data for a given country from the database
core.lisp (file)
Fetch global time series data from the database
core.lisp (file)
Fetch latest time series data from the database
core.lisp (file)
Fetch top latest countries from the database, sorted by the given column
core.lisp (file)
Fetch the available API routes
api.lisp (file)
Retrieve the list of countries
api.lisp (file)
Retrieve summary stats
api.lisp (file)
Download all time series data as a ZIP archive
api.lisp (file)
Retrieve the time series data for a given country
api.lisp (file)
Links countries with continents
db.lisp (file)
Creates a new API client
api.lisp (file)
Create new API URI for the given path and query params
api.lisp (file)
Creates a new database connection to the given DB-PATH
db.lisp (file)
Migrates the database to the latest version
db.lisp (file)
Persists the given ITEMS into the database, which represent continents
db.lisp (file)
Persists the given ITEMS into the database, which represent countries
db.lisp (file)
Persists the given ITEMS into the database, which represent population stats per country
db.lisp (file)
Persists the given ITEMS into the database, which represent time series data
db.lisp (file)
Returns the keys of a property list
util.lisp (file)
Returns the values of a property list
util.lisp (file)
Plot the data returned by DATA-FUN using the given TEMPLATE
core.lisp (file)
Plot time series data for a given continent
core.lisp (file)
Plot time series data for a given country
core.lisp (file)
Plot global time series for a given country as an animation
core.lisp (file)
Plot global time series
core.lisp (file)
Plot global time series data as an animation
core.lisp (file)
Plot time series per country sorted by given column
core.lisp (file)
Renders the given gnuplot(1) template
gnuplot-template.lisp (file)
Sets the numeric code for each country using the ITEMS data
db.lisp (file)
Get the list of columns for a given table
db.lisp (file)
Get details about a given table
db.lisp (file)
Updates the local database with the data retrieved from the remote API
core.lisp (file)
Updates the local database with the latest continents data
core.lisp (file)
Updates the local database with the latest countries data from the remote API
core.lisp (file)
Updates the local database with the latest population data
core.lisp (file)
Updates the local database with the latest time series data from the remote API
core.lisp (file)
Writes the given items in CSV format
core.lisp (file)
Next: Exported classes, Previous: Exported functions, Up: Exported definitions [Contents][Index]
API endpoint to interface with
api.lisp (file)
Service port to connect to
api.lisp (file)
URI scheme to use
api.lisp (file)
Previous: Exported generic functions, Up: Exported definitions [Contents][Index]
Client for interfacing with COVID-19 API
api.lisp (file)
standard-object (class)
URI scheme to use
:scheme
"https"
api-client-scheme (generic function)
(setf api-client-scheme) (generic function)
Service port to connect to
:port
443
api-client-port (generic function)
(setf api-client-port) (generic function)
API endpoint to interface with
:endpoint
cl-covid19.api::*endpoint*
api-client-endpoint (generic function)
(setf api-client-endpoint) (generic function)
Previous: Exported definitions, Up: Definitions [Contents][Index]
| • Internal special variables | ||
| • Internal functions |
Next: Internal functions, Previous: Internal definitions, Up: Internal definitions [Contents][Index]
Path to the file which contains the continents data
core.lisp (file)
Path to the file which contains the mapping of countries and continents
core.lisp (file)
The API from which to fetch data about COVID-19
api.lisp (file)
Path to the file which contains population data
core.lisp (file)
Previous: Internal special variables, Up: Internal definitions [Contents][Index]
Parses the JSON document from the given PATH
core.lisp (file)
Parses the CSV file from PATH, which contains world population data from the UN
core.lisp (file)
Previous: Definitions, Up: Top [Contents][Index]
| • Concept index | ||
| • Function index | ||
| • Variable index | ||
| • Data type index |
Next: Function index, Previous: Indexes, Up: Indexes [Contents][Index]
| Jump to: | C F L M S |
|---|
| Jump to: | C F L M S |
|---|
Next: Variable index, Previous: Concept index, Up: Indexes [Contents][Index]
| Jump to: | (
A D F G L M P R S T U W |
|---|
| Jump to: | (
A D F G L M P R S T U W |
|---|
Next: Data type index, Previous: Function index, Up: Indexes [Contents][Index]
| Jump to: | *
E P S |
|---|
| Jump to: | *
E P S |
|---|
Previous: Variable index, Up: Indexes [Contents][Index]
| Jump to: | A C P S |
|---|
| Jump to: | A C P S |
|---|