From: Christian Heller <c.heller@plomlompom.de>
Date: Sat, 29 Aug 2020 17:12:36 +0000 (+0200)
Subject: Use scrape.py to update daily infections instead of unreliable CSV URL.
X-Git-Url: https://plomlompom.com/repos/?p=berlin-corona-table;a=commitdiff_plain;h=c284e595f130dc4ca3354d474932c59c305e8149

Use scrape.py to update daily infections instead of unreliable CSV URL.
---

diff --git a/README.txt b/README.txt
index 3385d6d..2887eee 100644
--- a/README.txt
+++ b/README.txt
@@ -2,7 +2,7 @@ Daily updated table of development of Berlin's Corona virus infections.
 
 How this works:
 
-Each day, the Berlin health ministry publishes by-district data of the day's
+Each day, the Berlin health ministry publishes new by-district data of the day's
 registered new Corona infections at [1].  ./update.sh crawls this and appends
 the day's data as a single line to ./daily_infections_table.txt, then calls
 ./enhance_table.py which outputs an enhanced version of the data to
@@ -11,7 +11,7 @@ A systemd timer whose files are provided as ./berlin-corona-table.service and
 ./berlin-corona-table.timer calls ./update.sh once per day, when the new daily
 data are expected to be found at [1].
 
-[1] https://www.berlin.de/lageso/_assets/gesundheit/publikationen/corona/bezirkstabelle.csv 
+[1] https://www.berlin.de/sen/gpg/service/presse/2020/
 [2] https://plomlompom.com/berlin_corona.txt & https://plomlompom.com/berlin_corona.html
 
 Set-up:
diff --git a/update.sh b/update.sh
index 008f716..fee5ef5 100755
--- a/update.sh
+++ b/update.sh
@@ -1,21 +1,10 @@
 #!/bin/sh
 set -e
 
-CSV_URL=https://www.berlin.de/lageso/_assets/gesundheit/publikationen/corona/bezirkstabelle.csv
 table_path=daily_infections_table.txt
 
-# If we don't have a table file yet, we need to provide its header.
-header="            CW  FK  Li  MH  Mi  Ne  Pa  Re  Sp  SZ  TS  TK sum"
-if [ ! -f "${table_path}" ]; then
-    echo  "${header}" > "${table_path}"
-fi
-
-# Parse Lageso day table of new infections by district into new line for history table.
-today="$(date +%Y-%m-%d)"
-curl "${CSV_URL}" \
-| awk 'BEGIN { FS=";"; ORS=""; print "'${today}'" }; '\
-'!/^"Bezirk"/ { printf "%4d", $3 }; '\
-'END { printf "\n" }' "${filename}" >> "${table_path}"
+# Re-build infections table.
+./scrape.py > "${table_path}"
 
 # Write enhanced table output to directory served by web server.
 #