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translatio ... kaylea/mas

Author SHA1 Message Date
Nathan TeBlunthuis
c690df4852 Merge branch 'kaylea/master' of github.com:CommunityDataScienceCollective/COVID-19_Digital_Observatory into kaylea/master 2020-03-28 14:13:46 -07:00
Nathan TeBlunthuis
f5ac92330c Merge branch 'kaylea/master' of github.com:CommunityDataScienceCollective/COVID-19_Digital_Observatory into kaylea/master 2020-03-28 14:13:26 -07:00
Nathan TeBlunthuis
1b2bb7d1df Merge branch 'kaylea/master' of github.com:CommunityDataScienceCollective/COVID-19_Digital_Observatory into kaylea/master 2020-03-28 14:12:36 -07:00
Nathan TeBlunthuis
ee91df4c04 Read the whole input file before making api calls 2020-03-28 14:12:17 -07:00
Nathan TeBlunthuis
24e5590836 Read the whole input file before making api calls 2020-03-28 14:09:28 -07:00
Nathan TeBlunthuis
49c3203d78 A few suggestions for the python script: 
- using format strings (f-strings) is a nice way in python to build
strings using variables.
- you can read and process a file in one pass if you iterate over the
open file itself instead of reading it into a variable and then
looping
- i had to change your strip code when i stopped using csv reader
- my python linter and auto-formater hate non-indendent comments
- i added a few lines to print cases where we don't get Ok responses.
 2020-03-27 20:43:29 -07:00
Nathan TeBlunthuis
c54d8ba28a Reorganize wikipedia views subproject into subpackage. 2020-03-27 20:13:11 -07:00
Kaylea Champion
5ffb2cacd6 all data 2020-03-27 18:24:19 -07:00
Kaylea Champion
7d7fe9aaf6 cleaning out commented code 2020-03-27 18:19:22 -07:00
Kaylea Champion
d845c30455 reorganizes comments 2020-03-27 18:17:39 -07:00
Kaylea Champion
7ab95ae5f6 initial files 2020-03-27 18:10:13 -07:00
Kaylea Champion
e71b896cec makes TSV 
makes JSON
 2020-03-27 18:08:43 -07:00
Kaylea Champion
0cc1ffd0b6 many bug fixes 2020-03-27 17:24:18 -07:00
Kaylea Champion
ec3f66bbcc for testing 2020-03-27 16:00:36 -07:00
Kaylea Champion
9f0dbb00f7 new file -- list of article names 2020-03-27 14:41:38 -07:00
Kaylea Champion
becbaa1676 Update README.md 
language nicing
 2020-03-24 14:25:43 -07:00
24 changed files with 9917 additions and 103188 deletions
Expand all files Collapse all files

2
README.md
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@@ -1,7 +1,7 @@
# COVID-19 Digital Observatory # COVID-19 Digital Observatory
The COVID-19 Digital Observatory collects, aggregates, and distributes data from social media, search engine results, and Wikipedia to support social and data science research related to the pandemic. The COVID-19 Digital Observatory collects, aggregates, and distributes data from social media, search engine results, and Wikipedia to support social and data science research related to the pandemic.
[The community data science collective](https://wiki.communitydata.science/Main_Page "The community data science collectivewiki") is the early stages of building this project. We expect to make rapid progess and to begin releasing code and data soon. The [community data science collective](https://wiki.communitydata.science/Main_Page "The community data science collective wiki") is the early stages of building this project. We expect to make rapid progess and to begin releasing code and data soon.
We eagerly welcome contributors! Please get in touch. We eagerly welcome contributors! Please get in touch.
Contributors are held to the [code of conduct](code_of_conduct.md "link to code of conduct.md"). Contributors are held to the [code of conduct](code_of_conduct.md "link to code of conduct.md").

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transliterations/README.md
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# Transliterations
This part of the project collects tranliterations of key phrases related to COVID-19 using Wikidata. We search the Wikidata API for entities in `src/wikidata_search.py` and then we make simple SPARQL queries in `src/wikidata_transliterations.py` to collect labels and aliases the entities. The labels come with language metadata. This seems to provide a decent initial list of relevant terms across multiple languages.

6
transliterations/analysis/output/top5_queries_per_term_per_date.csv
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@@ -1,6 +0,0 @@
"term","date","query.1","query.2","query.3","query.4","query.5"
"coronavirus","2020-03-27",coronavirus update,corona,coronavirus symptoms,news coronavirus,coronavirus cases
"covid-19","2020-03-27",covid-19 coronavirus,coronavirus,covid,covid-19 cases,covid 19
"covid-19 pandemic","2020-03-27",coronavirus,covid-19 coronavirus pandemic,coronavirus pandemic,who,is covid-19 a pandemic
"covid19","2020-03-27",covid,covid 19,coronavirus covid19,coronavirus,covid19 cases
"sars-cov-2","2020-03-27",coronavirus,coronavirus sars-cov-2,covid-19,covid-19 sars-cov-2,sars
1 term date query.1 query.2 query.3 query.4 query.5
2 coronavirus 2020-03-27 coronavirus update corona coronavirus symptoms news coronavirus coronavirus cases
3 covid-19 2020-03-27 covid-19 coronavirus coronavirus covid covid-19 cases covid 19
4 covid-19 pandemic 2020-03-27 coronavirus covid-19 coronavirus pandemic coronavirus pandemic who is covid-19 a pandemic
5 covid19 2020-03-27 covid covid 19 coronavirus covid19 coronavirus covid19 cases
6 sars-cov-2 2020-03-27 coronavirus coronavirus sars-cov-2 covid-19 covid-19 sars-cov-2 sars

28
transliterations/analysis/related_searches_example.R
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### COVID-19 Digital Observatory
### 2020-03-28
###
### Minimal example analysis file using trending search data
### Identify data source directory and file
DataDir <- ("../data/output/")
DataFile <- ("related_searches_top.csv")
### Import and cleanup data
related.searches.top <- read.table(paste(DataDir,DataFile,
sep=""),
sep=",", header=TRUE,
stringsAsFactors=FALSE)
### Aggregate top 5 search queries by term/day
top5.per.term.date <- aggregate(query ~ term + date,
data=related.searches.top,
head, 5)
## Might cleanup a bit for further analysis or visualization...
top5.per.term.date$date <- as.Date(top5.per.term.date$date)
### Export
write.table(top5.per.term.date,
file="output/top5_queries_per_term_per_date.csv", sep=",",
row.names=FALSE)

6
transliterations/data/input/base_terms.txt
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@@ -1,6 +0,0 @@
coronavirus
covid-19
covid19
sars-cov-2
covid-19 pandemic
sars-cov-2 pandemic

9300
transliterations/data/output/2020-03-27_wikidata_entity_labels.csv
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transliterations/data/output/2020-03-28_wikidata_entity_labels.csv
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transliterations/data/output/daily_google_trends.csv
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@@ -1,36 +0,0 @@
date,term,top
2020-03-27,COVID-19,0
2020-03-27,Boris Johnson,1
2020-03-27,Thomas Massie,2
2020-03-27,Ozark,3
2020-03-27,Drew Brees,4
2020-03-27,Bill Gates,5
2020-03-27,Kourtney Kardashian,6
2020-03-27,Doris Burke,7
2020-03-27,Pope Francis,8
2020-03-27,Krispy Kreme,9
2020-03-27,Roman Reigns,10
2020-03-27,A Million Little Things,11
2020-03-27,Pearl Jam Gigaton,12
2020-03-27,Gretchen Whitmer,13
2020-03-27,Bill Ackman,14
2020-03-27,Till Lindemann,15
2020-03-27,Trish Regan,16
2020-03-27,Steven Universe Future,17
2020-03-27,Urbi et Orbi,18
2020-03-27,Nc stay-at-home order,19
2020-03-28,Dog,0
2020-03-28,Tom Coburn,1
2020-03-28,Cat,2
2020-03-28,Weather radar,3
2020-03-28,Horse,4
2020-03-28,Elephant,5
2020-03-28,Bear,6
2020-03-28,Penguin,7
2020-03-28,Joseph Lowery,8
2020-03-28,North Carolina,9
2020-03-28,Wolf,10
2020-03-28,Predator: Hunting Grounds,11
2020-03-28,Duck,12
2020-03-28,Vivarium,13
2020-03-28,Instacart strike,14
1 date term top
2 2020-03-27 COVID-19 0
3 2020-03-27 Boris Johnson 1
4 2020-03-27 Thomas Massie 2
5 2020-03-27 Ozark 3
6 2020-03-27 Drew Brees 4
7 2020-03-27 Bill Gates 5
8 2020-03-27 Kourtney Kardashian 6
9 2020-03-27 Doris Burke 7
10 2020-03-27 Pope Francis 8
11 2020-03-27 Krispy Kreme 9
12 2020-03-27 Roman Reigns 10
13 2020-03-27 A Million Little Things 11
14 2020-03-27 Pearl Jam Gigaton 12
15 2020-03-27 Gretchen Whitmer 13
16 2020-03-27 Bill Ackman 14
17 2020-03-27 Till Lindemann 15
18 2020-03-27 Trish Regan 16
19 2020-03-27 Steven Universe Future 17
20 2020-03-27 Urbi et Orbi 18
21 2020-03-27 Nc stay-at-home order 19
22 2020-03-28 Dog 0
23 2020-03-28 Tom Coburn 1
24 2020-03-28 Cat 2
25 2020-03-28 Weather radar 3
26 2020-03-28 Horse 4
27 2020-03-28 Elephant 5
28 2020-03-28 Bear 6
29 2020-03-28 Penguin 7
30 2020-03-28 Joseph Lowery 8
31 2020-03-28 North Carolina 9
32 2020-03-28 Wolf 10
33 2020-03-28 Predator: Hunting Grounds 11
34 2020-03-28 Duck 12
35 2020-03-28 Vivarium 13
36 2020-03-28 Instacart strike 14

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transliterations/data/output/related_searches_rising.csv
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@@ -1,240 +0,0 @@
query,value,term,date
coronavirus tips,102600,coronavirus,2020-03-27
covid 19,72600,coronavirus,2020-03-27
trump coronavirus,52900,coronavirus,2020-03-27
notizie coronavirus,50350,coronavirus,2020-03-27
wuhan coronavirus,48850,coronavirus,2020-03-27
ultime coronavirus,45300,coronavirus,2020-03-27
coronavirus ultime notizie,39600,coronavirus,2020-03-27
coronavirus worldometer,37350,coronavirus,2020-03-27
us coronavirus cases,36250,coronavirus,2020-03-27
italie coronavirus,34850,coronavirus,2020-03-27
coronavirus update india,25550,coronavirus,2020-03-27
coronavirus in italia,25500,coronavirus,2020-03-27
covid-19,24150,coronavirus,2020-03-27
coronavirus live map,23700,coronavirus,2020-03-27
john hopkins coronavirus,23650,coronavirus,2020-03-27
coronavirus lombardia,23400,coronavirus,2020-03-27
coronavirus meme,23050,coronavirus,2020-03-27
coronavirus live update,23050,coronavirus,2020-03-27
coronavirus update uk,20950,coronavirus,2020-03-27
decreto coronavirus,19750,coronavirus,2020-03-27
coronavirus österreich,19250,coronavirus,2020-03-27
coronavirus roma,18900,coronavirus,2020-03-27
coronavirus memes,17350,coronavirus,2020-03-27
coronavirus cases in india,16050,coronavirus,2020-03-27
coronavirus georgia,16050,coronavirus,2020-03-27
covid-19 coronavirus,1218150,covid-19,2020-03-27
coronavirus,1181150,covid-19,2020-03-27
covid,682700,covid-19,2020-03-27
covid-19 cases,605100,covid-19,2020-03-27
covid 19,473950,covid-19,2020-03-27
corona,405300,covid-19,2020-03-27
virus covid-19,398550,covid-19,2020-03-27
covid-19 map,273250,covid-19,2020-03-27
covid-19 symptoms,271350,covid-19,2020-03-27
covid-19 news,247000,covid-19,2020-03-27
covid-19 updates,238250,covid-19,2020-03-27
covid-19 update,213450,covid-19,2020-03-27
covid-19 live,203950,covid-19,2020-03-27
corona virus,201950,covid-19,2020-03-27
covid-19 us,185450,covid-19,2020-03-27
who,169900,covid-19,2020-03-27
covid-19 who,169200,covid-19,2020-03-27
covid-19 canada,167650,covid-19,2020-03-27
what is covid-19,165850,covid-19,2020-03-27
covid-19 cdc,143000,covid-19,2020-03-27
cdc,139750,covid-19,2020-03-27
covid-19 test,136250,covid-19,2020-03-27
covid-19 italy,134850,covid-19,2020-03-27
covid-19 china,128200,covid-19,2020-03-27
covid-19 usa,118050,covid-19,2020-03-27
covid,1438650,covid19,2020-03-27
covid 19,1282950,covid19,2020-03-27
coronavirus covid19,950500,covid19,2020-03-27
coronavirus,930200,covid19,2020-03-27
covid19 cases,496800,covid19,2020-03-27
corona,395600,covid19,2020-03-27
corona covid19,390150,covid19,2020-03-27
covid19 virus,368100,covid19,2020-03-27
covid19 news,253550,covid19,2020-03-27
covid19 update,223300,covid19,2020-03-27
symptoms covid19,222750,covid19,2020-03-27
covid19 symptoms,220150,covid19,2020-03-27
covid19 map,217850,covid19,2020-03-27
corona virus,206600,covid19,2020-03-27
covid19 us,178600,covid19,2020-03-27
what is covid19,173100,covid19,2020-03-27
covid19 who,159800,covid19,2020-03-27
who,156600,covid19,2020-03-27
canada covid19,155350,covid19,2020-03-27
italy covid19,154100,covid19,2020-03-27
italy,147850,covid19,2020-03-27
test covid19,146500,covid19,2020-03-27
china covid19,144300,covid19,2020-03-27
covid19 uk,130850,covid19,2020-03-27
covid-19,129800,covid19,2020-03-27
coronavirus,707750,sars-cov-2,2020-03-27
coronavirus sars-cov-2,687850,sars-cov-2,2020-03-27
covid-19,568100,sars-cov-2,2020-03-27
covid-19 sars-cov-2,538200,sars-cov-2,2020-03-27
sars,346250,sars-cov-2,2020-03-27
virus sars-cov-2,306300,sars-cov-2,2020-03-27
corona,241200,sars-cov-2,2020-03-27
sars-cov-2 covid 19,224250,sars-cov-2,2020-03-27
covid 19,210650,sars-cov-2,2020-03-27
corona virus,121450,sars-cov-2,2020-03-27
sars-cov-2 vs covid-19,107850,sars-cov-2,2020-03-27
what is sars-cov-2,107650,sars-cov-2,2020-03-27
sars cov 2,91850,sars-cov-2,2020-03-27
sars-cov-2 wiki,56650,sars-cov-2,2020-03-27
koronawirus,47000,sars-cov-2,2020-03-27
cdc,44300,sars-cov-2,2020-03-27
sars-cov,44100,sars-cov-2,2020-03-27
sars-cov-1,41000,sars-cov-2,2020-03-27
sars-cov-2 vs cod-19,28450,sars-cov-2,2020-03-27
sars-cov-2 genome,22300,sars-cov-2,2020-03-27
pubmed,22200,sars-cov-2,2020-03-27
коронавирус,21950,sars-cov-2,2020-03-27
sars-cov-2 or covid-19,19150,sars-cov-2,2020-03-27
on the origin and continuing evolution of sars-cov-2,18950,sars-cov-2,2020-03-27
the proximal origin of sars-cov-2,18800,sars-cov-2,2020-03-27
coronavirus,707350,covid-19 pandemic,2020-03-27
covid-19 coronavirus pandemic,682850,covid-19 pandemic,2020-03-27
coronavirus pandemic,655700,covid-19 pandemic,2020-03-27
who,288300,covid-19 pandemic,2020-03-27
is covid-19 a pandemic,269250,covid-19 pandemic,2020-03-27
who pandemic,262250,covid-19 pandemic,2020-03-27
covid 19 pandemic,248100,covid-19 pandemic,2020-03-27
pandemic meaning,140650,covid-19 pandemic,2020-03-27
what is a pandemic,107950,covid-19 pandemic,2020-03-27
pandemic vs epidemic,98050,covid-19 pandemic,2020-03-27
cdc pandemic,97750,covid-19 pandemic,2020-03-27
pandemic definition,94750,covid-19 pandemic,2020-03-27
pandemic define,61950,covid-19 pandemic,2020-03-27
covid-19 pandemic plan,58650,covid-19 pandemic,2020-03-27
coronavirus pandemic covid-19 live world map/count,55350,covid-19 pandemic,2020-03-27
who declared covid-19 pandemic,52050,covid-19 pandemic,2020-03-27
covid-19 pandemic unemployment payment,51900,covid-19 pandemic,2020-03-27
coronavirus update,32550,covid-19 pandemic,2020-03-27
coronavirus tips,109950,coronavirus,2020-03-28
covid,97600,coronavirus,2020-03-28
coronavirus death toll,52800,coronavirus,2020-03-28
wuhan coronavirus,49100,coronavirus,2020-03-28
coronavirus argentina,40350,coronavirus,2020-03-28
coronavirus ultime notizie,39400,coronavirus,2020-03-28
coronavirus worldometer,37050,coronavirus,2020-03-28
worldometer coronavirus,36750,coronavirus,2020-03-28
us coronavirus cases,35250,coronavirus,2020-03-28
ultima hora coronavirus,30900,coronavirus,2020-03-28
coronavirus update india,26000,coronavirus,2020-03-28
coronavirus live map,24500,coronavirus,2020-03-28
coronavirus lombardia,23350,coronavirus,2020-03-28
coronavirus live update,22300,coronavirus,2020-03-28
coronavirus romania,21100,coronavirus,2020-03-28
coronavirus update uk,21050,coronavirus,2020-03-28
decreto coronavirus,20650,coronavirus,2020-03-28
coronavirus österreich,19650,coronavirus,2020-03-28
coronavirus colorado,17900,coronavirus,2020-03-28
coronavirus memes,17700,coronavirus,2020-03-28
coronavirus milano,17050,coronavirus,2020-03-28
virginia coronavirus,16950,coronavirus,2020-03-28
coronavirus tracker,16850,coronavirus,2020-03-28
coronavirus cases in india,16600,coronavirus,2020-03-28
coronavirus conseils,16300,coronavirus,2020-03-28
coronavirus,1175050,covid-19,2020-03-28
coronavirus covid-19,1169000,covid-19,2020-03-28
covid,644400,covid-19,2020-03-28
covid-19 cases,603750,covid-19,2020-03-28
covid 19,452650,covid-19,2020-03-28
corona,395750,covid-19,2020-03-28
covid-19 virus,386500,covid-19,2020-03-28
covid-19 symptoms,290450,covid-19,2020-03-28
covid-19 map,283950,covid-19,2020-03-28
covid-19 news,238050,covid-19,2020-03-28
covid-19 updates,225500,covid-19,2020-03-28
covid-19 update,212000,covid-19,2020-03-28
covid-19 live,203750,covid-19,2020-03-28
corona virus,198650,covid-19,2020-03-28
covid-19 us,186600,covid-19,2020-03-28
covid-19 who,173150,covid-19,2020-03-28
what is covid-19,170900,covid-19,2020-03-28
canada covid-19,168900,covid-19,2020-03-28
who,168150,covid-19,2020-03-28
covid-19 canada,165250,covid-19,2020-03-28
cdc covid-19,145600,covid-19,2020-03-28
cdc,140700,covid-19,2020-03-28
covid-19 test,139050,covid-19,2020-03-28
covid-19 world,132150,covid-19,2020-03-28
china covid-19,129200,covid-19,2020-03-28
covid,1482050,covid19,2020-03-28
covid 19,1260000,covid19,2020-03-28
coronavirus covid19,917000,covid19,2020-03-28
coronavirus,905050,covid19,2020-03-28
covid19 cases,514800,covid19,2020-03-28
corona,412650,covid19,2020-03-28
covid19 virus,384000,covid19,2020-03-28
covid19 news,274300,covid19,2020-03-28
symptoms covid19,231450,covid19,2020-03-28
covid19 update,229800,covid19,2020-03-28
covid19 map,225450,covid19,2020-03-28
corona virus,205550,covid19,2020-03-28
covid19 us,183000,covid19,2020-03-28
what is covid19,168150,covid19,2020-03-28
covid19 who,164550,covid19,2020-03-28
who,161750,covid19,2020-03-28
covid19 canada,153250,covid19,2020-03-28
italy covid19,150050,covid19,2020-03-28
covid19 test,145450,covid19,2020-03-28
italy,145300,covid19,2020-03-28
china covid19,143450,covid19,2020-03-28
uk covid19,133900,covid19,2020-03-28
covid-19,126550,covid19,2020-03-28
usa covid19,121450,covid19,2020-03-28
covid19 deaths,116200,covid19,2020-03-28
coronavirus sars-cov-2,705200,sars-cov-2,2020-03-28
coronavirus,691350,sars-cov-2,2020-03-28
sars-cov-2 covid-19,549050,sars-cov-2,2020-03-28
covid-19,482800,sars-cov-2,2020-03-28
sars,326400,sars-cov-2,2020-03-28
virus sars-cov-2,305300,sars-cov-2,2020-03-28
corona,261700,sars-cov-2,2020-03-28
covid 19,250950,sars-cov-2,2020-03-28
sars-cov-2 covid 19,245900,sars-cov-2,2020-03-28
who,118700,sars-cov-2,2020-03-28
corona virus,105000,sars-cov-2,2020-03-28
covid19,92650,sars-cov-2,2020-03-28
sars-cov-2 vs covid-19,92200,sars-cov-2,2020-03-28
what is sars-cov-2,90550,sars-cov-2,2020-03-28
sars cov 2,75800,sars-cov-2,2020-03-28
sars-cov-2 wiki,62400,sars-cov-2,2020-03-28
koronawirus,50900,sars-cov-2,2020-03-28
sars-cov,50500,sars-cov-2,2020-03-28
mers,50300,sars-cov-2,2020-03-28
sars-cov-2 symptoms,47500,sars-cov-2,2020-03-28
pubmed,25200,sars-cov-2,2020-03-28
sars-cov-2 vs cod-19,25150,sars-cov-2,2020-03-28
on the origin and continuing evolution of sars-cov-2,22300,sars-cov-2,2020-03-28
the proximal origin of sars-cov-2,22250,sars-cov-2,2020-03-28
sars2,19050,sars-cov-2,2020-03-28
coronavirus pandemic,665900,covid-19 pandemic,2020-03-28
coronavirus,648150,covid-19 pandemic,2020-03-28
covid-19 coronavirus pandemic,621900,covid-19 pandemic,2020-03-28
is covid-19 a pandemic,339100,covid-19 pandemic,2020-03-28
who pandemic,284050,covid-19 pandemic,2020-03-28
who,269600,covid-19 pandemic,2020-03-28
covid 19,221350,covid-19 pandemic,2020-03-28
covid 19 pandemic,221150,covid-19 pandemic,2020-03-28
epidemic,168100,covid-19 pandemic,2020-03-28
pandemic meaning,142000,covid-19 pandemic,2020-03-28
cdc,115650,covid-19 pandemic,2020-03-28
what is a pandemic,102200,covid-19 pandemic,2020-03-28
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covid19 update,16,covid19,2020-03-28
covid19 map,15,covid19,2020-03-28
corona virus,14,covid19,2020-03-28
covid19 us,12,covid19,2020-03-28
what is covid19,11,covid19,2020-03-28
covid19 who,11,covid19,2020-03-28
who,11,covid19,2020-03-28
covid19 canada,10,covid19,2020-03-28
italy covid19,10,covid19,2020-03-28
covid19 test,10,covid19,2020-03-28
italy,10,covid19,2020-03-28
china covid19,10,covid19,2020-03-28
uk covid19,9,covid19,2020-03-28
covid-19,9,covid19,2020-03-28
usa covid19,8,covid19,2020-03-28
covid19 deaths,8,covid19,2020-03-28
coronavirus sars-cov-2,100,sars-cov-2,2020-03-28
coronavirus,98,sars-cov-2,2020-03-28
sars-cov-2 covid-19,78,sars-cov-2,2020-03-28
covid-19,68,sars-cov-2,2020-03-28
sars,46,sars-cov-2,2020-03-28
virus sars-cov-2,43,sars-cov-2,2020-03-28
corona,37,sars-cov-2,2020-03-28
covid 19,36,sars-cov-2,2020-03-28
sars-cov-2 covid 19,35,sars-cov-2,2020-03-28
who,17,sars-cov-2,2020-03-28
corona virus,15,sars-cov-2,2020-03-28
covid19,13,sars-cov-2,2020-03-28
sars-cov-2 vs covid-19,13,sars-cov-2,2020-03-28
what is sars-cov-2,13,sars-cov-2,2020-03-28
sars cov 2,11,sars-cov-2,2020-03-28
sars-cov-2 wiki,9,sars-cov-2,2020-03-28
koronawirus,7,sars-cov-2,2020-03-28
sars-cov,7,sars-cov-2,2020-03-28
mers,7,sars-cov-2,2020-03-28
sars-cov-2 symptoms,7,sars-cov-2,2020-03-28
pubmed,4,sars-cov-2,2020-03-28
sars-cov-2 vs cod-19,4,sars-cov-2,2020-03-28
on the origin and continuing evolution of sars-cov-2,3,sars-cov-2,2020-03-28
the proximal origin of sars-cov-2,3,sars-cov-2,2020-03-28
sars2,3,sars-cov-2,2020-03-28
coronavirus pandemic,100,covid-19 pandemic,2020-03-28
coronavirus,97,covid-19 pandemic,2020-03-28
covid-19 coronavirus pandemic,93,covid-19 pandemic,2020-03-28
is covid-19 a pandemic,51,covid-19 pandemic,2020-03-28
who pandemic,43,covid-19 pandemic,2020-03-28
who,40,covid-19 pandemic,2020-03-28
covid 19,33,covid-19 pandemic,2020-03-28
covid 19 pandemic,33,covid-19 pandemic,2020-03-28
epidemic,25,covid-19 pandemic,2020-03-28
pandemic meaning,21,covid-19 pandemic,2020-03-28
cdc,17,covid-19 pandemic,2020-03-28
what is a pandemic,15,covid-19 pandemic,2020-03-28
pandemic definition,12,covid-19 pandemic,2020-03-28
covid-19 symptoms,11,covid-19 pandemic,2020-03-28
coronavirus pandemic covid-19 live world map/count,8,covid-19 pandemic,2020-03-28
covid-19 updates,7,covid-19 pandemic,2020-03-28
covid-19 pandemic unemployment payment,6,covid-19 pandemic,2020-03-28
covid-19 pandemic unemployment,5,covid-19 pandemic,2020-03-28
pandemic vs endemic,4,covid-19 pandemic,2020-03-28
who declared covid-19 pandemic,4,covid-19 pandemic,2020-03-28
when was the last pandemic,3,covid-19 pandemic,2020-03-28
1 query value term date
2 coronavirus update 100 coronavirus 2020-03-27
3 corona 94 coronavirus 2020-03-27
4 coronavirus symptoms 82 coronavirus 2020-03-27
5 news coronavirus 74 coronavirus 2020-03-27
6 coronavirus cases 69 coronavirus 2020-03-27
7 uk coronavirus 53 coronavirus 2020-03-27
8 corona virus 49 coronavirus 2020-03-27
9 el coronavirus 43 coronavirus 2020-03-27
10 coronavirus china 41 coronavirus 2020-03-27
11 coronavirus italia 41 coronavirus 2020-03-27
12 coronavirus map 40 coronavirus 2020-03-27
13 india coronavirus 38 coronavirus 2020-03-27
14 coronavirus france 36 coronavirus 2020-03-27
15 coronavirus sintomas 31 coronavirus 2020-03-27
16 coronavirus italy 29 coronavirus 2020-03-27
17 italy 29 coronavirus 2020-03-27
18 us coronavirus 28 coronavirus 2020-03-27
19 usa coronavirus 28 coronavirus 2020-03-27
20 coronavirus españa 27 coronavirus 2020-03-27
21 symptoms of coronavirus 26 coronavirus 2020-03-27
22 coronavirus live 25 coronavirus 2020-03-27
23 coronavirus tips 21 coronavirus 2020-03-27
24 what is coronavirus 21 coronavirus 2020-03-27
25 coronavirus in india 20 coronavirus 2020-03-27
26 coronavirus latest 19 coronavirus 2020-03-27
27 covid-19 coronavirus 100 covid-19 2020-03-27
28 coronavirus 97 covid-19 2020-03-27
29 covid 56 covid-19 2020-03-27
30 covid-19 cases 50 covid-19 2020-03-27
31 covid 19 39 covid-19 2020-03-27
32 corona 33 covid-19 2020-03-27
33 virus covid-19 33 covid-19 2020-03-27
34 covid-19 map 22 covid-19 2020-03-27
35 covid-19 symptoms 22 covid-19 2020-03-27
36 covid-19 news 20 covid-19 2020-03-27
37 covid-19 updates 20 covid-19 2020-03-27
38 covid-19 update 18 covid-19 2020-03-27
39 covid-19 live 17 covid-19 2020-03-27
40 corona virus 17 covid-19 2020-03-27
41 covid-19 us 15 covid-19 2020-03-27
42 who 14 covid-19 2020-03-27
43 covid-19 who 14 covid-19 2020-03-27
44 covid-19 canada 14 covid-19 2020-03-27
45 what is covid-19 14 covid-19 2020-03-27
46 covid-19 cdc 12 covid-19 2020-03-27
47 cdc 11 covid-19 2020-03-27
48 covid-19 test 11 covid-19 2020-03-27
49 covid-19 italy 11 covid-19 2020-03-27
50 covid-19 china 11 covid-19 2020-03-27
51 covid-19 usa 10 covid-19 2020-03-27
52 covid 100 covid19 2020-03-27
53 covid 19 89 covid19 2020-03-27
54 coronavirus covid19 66 covid19 2020-03-27
55 coronavirus 65 covid19 2020-03-27
56 covid19 cases 35 covid19 2020-03-27
57 corona 28 covid19 2020-03-27
58 corona covid19 27 covid19 2020-03-27
59 covid19 virus 26 covid19 2020-03-27
60 covid19 news 18 covid19 2020-03-27
61 covid19 update 16 covid19 2020-03-27
62 symptoms covid19 15 covid19 2020-03-27
63 covid19 symptoms 15 covid19 2020-03-27
64 covid19 map 15 covid19 2020-03-27
65 corona virus 14 covid19 2020-03-27
66 covid19 us 12 covid19 2020-03-27
67 what is covid19 12 covid19 2020-03-27
68 covid19 who 11 covid19 2020-03-27
69 who 11 covid19 2020-03-27
70 canada covid19 11 covid19 2020-03-27
71 italy covid19 11 covid19 2020-03-27
72 italy 10 covid19 2020-03-27
73 test covid19 10 covid19 2020-03-27
74 china covid19 10 covid19 2020-03-27
75 covid19 uk 9 covid19 2020-03-27
76 covid-19 9 covid19 2020-03-27
77 coronavirus 100 sars-cov-2 2020-03-27
78 coronavirus sars-cov-2 97 sars-cov-2 2020-03-27
79 covid-19 80 sars-cov-2 2020-03-27
80 covid-19 sars-cov-2 76 sars-cov-2 2020-03-27
81 sars 49 sars-cov-2 2020-03-27
82 virus sars-cov-2 43 sars-cov-2 2020-03-27
83 corona 34 sars-cov-2 2020-03-27
84 sars-cov-2 covid 19 32 sars-cov-2 2020-03-27
85 covid 19 30 sars-cov-2 2020-03-27
86 corona virus 17 sars-cov-2 2020-03-27
87 sars-cov-2 vs covid-19 15 sars-cov-2 2020-03-27
88 what is sars-cov-2 15 sars-cov-2 2020-03-27
89 sars cov 2 13 sars-cov-2 2020-03-27
90 sars-cov-2 wiki 8 sars-cov-2 2020-03-27
91 koronawirus 7 sars-cov-2 2020-03-27
92 cdc 6 sars-cov-2 2020-03-27
93 sars-cov 6 sars-cov-2 2020-03-27
94 sars-cov-1 6 sars-cov-2 2020-03-27
95 sars-cov-2 vs cod-19 4 sars-cov-2 2020-03-27
96 sars-cov-2 genome 3 sars-cov-2 2020-03-27
97 pubmed 3 sars-cov-2 2020-03-27
98 коронавирус 3 sars-cov-2 2020-03-27
99 sars-cov-2 or covid-19 3 sars-cov-2 2020-03-27
100 on the origin and continuing evolution of sars-cov-2 3 sars-cov-2 2020-03-27
101 the proximal origin of sars-cov-2 3 sars-cov-2 2020-03-27
102 coronavirus 100 covid-19 pandemic 2020-03-27
103 covid-19 coronavirus pandemic 97 covid-19 pandemic 2020-03-27
104 coronavirus pandemic 93 covid-19 pandemic 2020-03-27
105 who 41 covid-19 pandemic 2020-03-27
106 is covid-19 a pandemic 38 covid-19 pandemic 2020-03-27
107 who pandemic 37 covid-19 pandemic 2020-03-27
108 covid 19 pandemic 35 covid-19 pandemic 2020-03-27
109 pandemic meaning 20 covid-19 pandemic 2020-03-27
110 what is a pandemic 15 covid-19 pandemic 2020-03-27
111 pandemic vs epidemic 14 covid-19 pandemic 2020-03-27
112 cdc pandemic 14 covid-19 pandemic 2020-03-27
113 pandemic definition 13 covid-19 pandemic 2020-03-27
114 pandemic define 9 covid-19 pandemic 2020-03-27
115 covid-19 pandemic plan 8 covid-19 pandemic 2020-03-27
116 coronavirus pandemic covid-19 live world map/count 8 covid-19 pandemic 2020-03-27
117 who declared covid-19 pandemic 7 covid-19 pandemic 2020-03-27
118 covid-19 pandemic unemployment payment 7 covid-19 pandemic 2020-03-27
119 coronavirus update 5 covid-19 pandemic 2020-03-27
120 coronavirus update 100 coronavirus 2020-03-28
121 corona 97 coronavirus 2020-03-28
122 coronavirus symptoms 84 coronavirus 2020-03-28
123 news coronavirus 73 coronavirus 2020-03-28
124 coronavirus cases 70 coronavirus 2020-03-28
125 coronavirus uk 53 coronavirus 2020-03-28
126 corona virus 50 coronavirus 2020-03-28
127 coronavirus map 43 coronavirus 2020-03-28
128 china coronavirus 43 coronavirus 2020-03-28
129 el coronavirus 43 coronavirus 2020-03-28
130 coronavirus italia 40 coronavirus 2020-03-28
131 india coronavirus 39 coronavirus 2020-03-28
132 coronavirus france 38 coronavirus 2020-03-28
133 coronavirus italy 31 coronavirus 2020-03-28
134 sintomas coronavirus 31 coronavirus 2020-03-28
135 coronavirus sintomas 31 coronavirus 2020-03-28
136 coronavirus usa 30 coronavirus 2020-03-28
137 us coronavirus 29 coronavirus 2020-03-28
138 coronavirus españa 27 coronavirus 2020-03-28
139 symptoms of coronavirus 26 coronavirus 2020-03-28
140 coronavirus live 25 coronavirus 2020-03-28
141 coronavirus tips 23 coronavirus 2020-03-28
142 coronavirus in india 21 coronavirus 2020-03-28
143 casos coronavirus 21 coronavirus 2020-03-28
144 covid 21 coronavirus 2020-03-28
145 coronavirus 100 covid-19 2020-03-28
146 coronavirus covid-19 99 covid-19 2020-03-28
147 covid 55 covid-19 2020-03-28
148 covid-19 cases 51 covid-19 2020-03-28
149 covid 19 39 covid-19 2020-03-28
150 corona 34 covid-19 2020-03-28
151 covid-19 virus 33 covid-19 2020-03-28
152 covid-19 symptoms 25 covid-19 2020-03-28
153 covid-19 map 24 covid-19 2020-03-28
154 covid-19 news 20 covid-19 2020-03-28
155 covid-19 updates 19 covid-19 2020-03-28
156 covid-19 update 18 covid-19 2020-03-28
157 covid-19 live 17 covid-19 2020-03-28
158 corona virus 17 covid-19 2020-03-28
159 covid-19 us 16 covid-19 2020-03-28
160 covid-19 who 15 covid-19 2020-03-28
161 what is covid-19 15 covid-19 2020-03-28
162 canada covid-19 14 covid-19 2020-03-28
163 who 14 covid-19 2020-03-28
164 covid-19 canada 14 covid-19 2020-03-28
165 cdc covid-19 12 covid-19 2020-03-28
166 cdc 12 covid-19 2020-03-28
167 covid-19 test 12 covid-19 2020-03-28
168 covid-19 world 11 covid-19 2020-03-28
169 china covid-19 11 covid-19 2020-03-28
170 covid 100 covid19 2020-03-28
171 covid 19 85 covid19 2020-03-28
172 coronavirus covid19 62 covid19 2020-03-28
173 coronavirus 61 covid19 2020-03-28
174 covid19 cases 35 covid19 2020-03-28
175 corona 28 covid19 2020-03-28
176 covid19 virus 26 covid19 2020-03-28
177 covid19 news 19 covid19 2020-03-28
178 symptoms covid19 16 covid19 2020-03-28
179 covid19 update 16 covid19 2020-03-28
180 covid19 map 15 covid19 2020-03-28
181 corona virus 14 covid19 2020-03-28
182 covid19 us 12 covid19 2020-03-28
183 what is covid19 11 covid19 2020-03-28
184 covid19 who 11 covid19 2020-03-28
185 who 11 covid19 2020-03-28
186 covid19 canada 10 covid19 2020-03-28
187 italy covid19 10 covid19 2020-03-28
188 covid19 test 10 covid19 2020-03-28
189 italy 10 covid19 2020-03-28
190 china covid19 10 covid19 2020-03-28
191 uk covid19 9 covid19 2020-03-28
192 covid-19 9 covid19 2020-03-28
193 usa covid19 8 covid19 2020-03-28
194 covid19 deaths 8 covid19 2020-03-28
195 coronavirus sars-cov-2 100 sars-cov-2 2020-03-28
196 coronavirus 98 sars-cov-2 2020-03-28
197 sars-cov-2 covid-19 78 sars-cov-2 2020-03-28
198 covid-19 68 sars-cov-2 2020-03-28
199 sars 46 sars-cov-2 2020-03-28
200 virus sars-cov-2 43 sars-cov-2 2020-03-28
201 corona 37 sars-cov-2 2020-03-28
202 covid 19 36 sars-cov-2 2020-03-28
203 sars-cov-2 covid 19 35 sars-cov-2 2020-03-28
204 who 17 sars-cov-2 2020-03-28
205 corona virus 15 sars-cov-2 2020-03-28
206 covid19 13 sars-cov-2 2020-03-28
207 sars-cov-2 vs covid-19 13 sars-cov-2 2020-03-28
208 what is sars-cov-2 13 sars-cov-2 2020-03-28
209 sars cov 2 11 sars-cov-2 2020-03-28
210 sars-cov-2 wiki 9 sars-cov-2 2020-03-28
211 koronawirus 7 sars-cov-2 2020-03-28
212 sars-cov 7 sars-cov-2 2020-03-28
213 mers 7 sars-cov-2 2020-03-28
214 sars-cov-2 symptoms 7 sars-cov-2 2020-03-28
215 pubmed 4 sars-cov-2 2020-03-28
216 sars-cov-2 vs cod-19 4 sars-cov-2 2020-03-28
217 on the origin and continuing evolution of sars-cov-2 3 sars-cov-2 2020-03-28
218 the proximal origin of sars-cov-2 3 sars-cov-2 2020-03-28
219 sars2 3 sars-cov-2 2020-03-28
220 coronavirus pandemic 100 covid-19 pandemic 2020-03-28
221 coronavirus 97 covid-19 pandemic 2020-03-28
222 covid-19 coronavirus pandemic 93 covid-19 pandemic 2020-03-28
223 is covid-19 a pandemic 51 covid-19 pandemic 2020-03-28
224 who pandemic 43 covid-19 pandemic 2020-03-28
225 who 40 covid-19 pandemic 2020-03-28
226 covid 19 33 covid-19 pandemic 2020-03-28
227 covid 19 pandemic 33 covid-19 pandemic 2020-03-28
228 epidemic 25 covid-19 pandemic 2020-03-28
229 pandemic meaning 21 covid-19 pandemic 2020-03-28
230 cdc 17 covid-19 pandemic 2020-03-28
231 what is a pandemic 15 covid-19 pandemic 2020-03-28
232 pandemic definition 12 covid-19 pandemic 2020-03-28
233 covid-19 symptoms 11 covid-19 pandemic 2020-03-28
234 coronavirus pandemic covid-19 live world map/count 8 covid-19 pandemic 2020-03-28
235 covid-19 updates 7 covid-19 pandemic 2020-03-28
236 covid-19 pandemic unemployment payment 6 covid-19 pandemic 2020-03-28
237 covid-19 pandemic unemployment 5 covid-19 pandemic 2020-03-28
238 pandemic vs endemic 4 covid-19 pandemic 2020-03-28
239 who declared covid-19 pandemic 4 covid-19 pandemic 2020-03-28
240 when was the last pandemic 3 covid-19 pandemic 2020-03-28

2528
transliterations/data/output/wikidata_search_results.csv
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79671
transliterations/data/output/wikidata_search_results_from_gtrends.csv
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2
transliterations/requirements.txt
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@@ -1,2 +0,0 @@
pytrends>=4.7.2
mwapi>=0.5.1

2
transliterations/src/__init__.py
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@@ -1,2 +0,0 @@
from wikidata_api_calls import *
from find_entities import *

76
transliterations/src/collect_trends.py
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@@ -1,76 +0,0 @@
# this follows a similar approach to nick's trends.js but in python
from pytrends.request import TrendReq
from datetime import datetime
from os import path
import csv
from itertools import islice, chain, zip_longest
import pandas as pd
# from itertools recipes
#https://docs.python.org/3.6/library/itertools.html#itertools-recipes
def grouper(iterable, n, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx"
args = [iter(iterable)] * n
return zip_longest(*args, fillvalue=fillvalue)
def get_daily_trends():
trendReq = TrendReq(backoff_factor=0.2)
today_trending = trendReq.today_searches()
daily_trends_outfile = path.join("..","data","output","daily_google_trends.csv")
write_header = False
header = ['date','term','top']
if not path.exists(daily_trends_outfile):
write_header = True
with open("../data/output/daily_google_trends.csv",'a',newline='') as of:
writer = csv.writer(of)
if write_header:
writer.writerow(header)
for i, trend in enumerate(today_trending):
writer.writerow([str(datetime.now().date()),trend,i])
def get_related_queries(stems):
# we have to batch these in sets of 5
trendReq = TrendReq(backoff_factor=0.2)
def _get_related_queries(chunk):
kw_list = list(filter(lambda x: x is not None, chunk))
trendReq.build_payload(kw_list=kw_list)
related_queries = trendReq.related_queries()
for term, results in related_queries.items():
for key, df in results.items():
if df is not None:
df["term"] = term
yield (key,df)
l = chain(*map(_get_related_queries, grouper(stems,5)))
out = {}
for key, value in l:
if key in out:
out[key].append(value)
else:
out[key] = [value]
for k in out.keys():
df = pd.concat(out[k])
df['date'] = str(datetime.now().date())
out[k] = df
outfile = path.join('..','data','output',f"related_searches_{k}.csv")
if path.exists(outfile):
mode = 'a'
header = False
else:
mode = 'w'
header = True
df.to_csv(outfile, mode=mode, header=header,index=False)
stems = [t.strip() for t in open("../data/input/base_terms.txt",'r')]
get_daily_trends()
get_related_queries(stems)

16
transliterations/src/compile_transliterated_phrases.sh
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@@ -1,16 +0,0 @@
#!/bin/bash
# For now these scripts don't accept command line arguments. It's an MVP
echo "Reading Google trends"
python3 collect_trends.py
echo "Searching for Wikidata entities using base_terms.txt"
python3 wikidata_search.py ../data/input/base_terms.txt --output ../data/output/wikidata_search_results.csv
echo "Searching for Wikidata entities using Google trends"
python3 wikidata_search.py ../data/output/related_searches_rising.csv ../data/output/related_searches_top.csv --use-gtrends --output ../data/output/wikidata_search_results_from_gtrends.csv
echo "Finding transliterations from Wikidata using sparql"
python3 wikidata_transliterations.py ../data/output/wikidata_search_results_from_gtrends.csv ../data/output/wikidata_search_results.csv --topN 10 20 --output ../data/output/$(date '+%Y-%m-%d')_wikidata_entity_labels.csv

1
transliterations/src/defaults.py
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@@ -1 +0,0 @@
user_agent = "COVID-19 Digital Observatory, a Community Data Science Collective project. (https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory)"

35
transliterations/src/wikidata_api_calls.py
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@@ -1,35 +0,0 @@
# File defines functions for making api calls to find translations and transliterations for key terms.
import mwapi
import requests
import sys
import time
from defaults import user_agent
def get_wikidata_api():
session = mwapi.Session(host="https://wikidata.org/w/api.php", user_agent=user_agent)
return session
def search_wikidata(session, term, *args, **kwargs):
search_results = session.get(action='query',
list='search',
srsearch=term,
# srqiprofile='popular_inclinks_pv',
srlimit='max',
srnamespace=0,
*args,
**kwargs)
query = search_results.get('query', None)
results = query.get('search', None)
if results is None:
raise mwapi.session.APIError(f"No results for query: {term}")
return results
def run_sparql_query(q):
results = requests.get("https://query.wikidata.org/bigdata/namespace/wdq/sparql",params={"format":"json","query":q})
time.sleep(2)
return results

95
transliterations/src/wikidata_search.py
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@@ -1,95 +0,0 @@
# generate a list of wikidata entities related to keywords
from os import path
from sys import stdout
from wikidata_api_calls import search_wikidata, get_wikidata_api
import csv
from itertools import chain
class Wikidata_ResultSet:
def __init__(self):
self.results = []
def extend(self, term, results):
self.results.append(
(Wikidata_Result(term, result, i)
for i, result in enumerate(results))
)
def to_csv(self, outfile=None, mode='w'):
if outfile is None:
of = stdout
else:
if path.exists(outfile) and mode != 'w':
of = open(outfile,'a',newline='')
else:
of = open(outfile,'w',newline='')
writer = csv.writer(of)
writer.writerow(Wikidata_Result.__slots__)
writer.writerows(map(Wikidata_Result.to_list, chain(* self.results)))
class Wikidata_Result:
# store unique entities found in the search results, the position in the search result, and the date
__slots__=['search_term','entityid','pageid','search_position','timestamp']
def __init__(self,
term,
search_result,
position):
self.search_term = term.strip()
self.entityid = search_result['title']
self.pageid = int(search_result['pageid'])
self.search_position = int(position)
self.timestamp = search_result['timestamp']
def to_list(self):
return [self.search_term,
self.entityid,
self.pageid,
self.search_position,
self.timestamp]
def run_wikidata_searches(terms):
api = get_wikidata_api()
resultset = Wikidata_ResultSet()
for term in terms:
search_results = search_wikidata(api, term)
resultset.extend(term, search_results)
return resultset
def read_google_trends_files(terms_files):
def _read_file(infile):
return csv.DictReader(open(infile,'r',newline=''))
for row in chain(* [_read_file(terms_file) for terms_file in terms_files]):
yield row['query']
def trawl_google_trends(terms_files, outfile = None, mode='w'):
terms = list(read_google_trends_files(terms_files))
resultset = run_wikidata_searches(terms)
resultset.to_csv(outfile, mode)
def trawl_base_terms(infiles, outfile = None, mode='w'):
terms = list(chain(* (open(infile,'r') for infile in infiles)))
resultset = run_wikidata_searches(terms)
resultset.to_csv(outfile, mode)
## search each of the base terms in wikidata
# store unique entities found in the search results, the position in the search result, and the date
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser("Search wikidata for entities related to a set of terms.")
parser.add_argument('inputs', type=str, nargs='+', help='one or more files to read')
parser.add_argument('--use-gtrends', action='store_true', help = 'toggle whether the input is the output from google trends')
parser.add_argument('--output', type=str, help='an output file. defaults to stdout')
parser.add_argument('--overwrite', action='store_true', help = 'overwrite existing output files instead of appending')
args = parser.parse_args()
if args.use_gtrends:
trawl_google_trends(args.inputs, args.output)
else:
trawl_base_terms(args.inputs, args.output)

96
transliterations/src/wikidata_transliterations.py
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@@ -1,96 +0,0 @@
from wikidata_api_calls import run_sparql_query
from itertools import chain, islice
import csv
from json import JSONDecodeError
class LabelData:
__slots__ = ['entityid','label','langcode','is_alt']
def __init__(self, wd_res, is_alt):
obj = wd_res.get('label',None)
self.label = obj.get('value',None)
self.langcode = obj.get('xml:lang',None)
self.entityid = wd_res.get('entity',None).get('value',None)
self.is_alt = is_alt
def to_list(self):
return [self.entityid,
self.label,
self.langcode,
self.is_alt]
def GetAllLabels(in_csvs, outfile, topNs):
def load_entity_ids(in_csv, topN=5):
with open(in_csv,'r',newline='') as infile:
reader = list(csv.DictReader(infile))
for row in reader:
if int(row['search_position']) < topN:
yield row["entityid"]
ids = set(chain(* map(lambda in_csv, topN: load_entity_ids(in_csv, topN), in_csvs, topNs)))
labeldata = GetEntityLabels(ids)
with open(outfile, 'w', newline='') as of:
writer = csv.writer(of)
writer.writerow(LabelData.__slots__)
writer.writerows(map(LabelData.to_list,labeldata))
def GetEntityLabels(entityids):
def run_query_and_parse(query, is_alt):
results = run_sparql_query(query)
try:
jobj = results.json()
res = jobj.get('results',None)
if res is not None:
res = res.get('bindings',None)
if res is None:
raise requests.APIError(f"got invalid response from wikidata for {query % entityid}")
for info in res:
yield LabelData(info, is_alt)
except JSONDecodeError as e:
print(e)
print(query)
def prep_query(query, prop, entityids):
values = ' '.join(('wd:{0}'.format(id) for id in entityids))
return query.format(prop, values)
base_query = """
SELECT DISTINCT ?entity ?label WHERE {{
?entity {0} ?label;
VALUES ?entity {{ {1} }}
}}"""
# we can't get all the entities at once. how about 100 at a time?
chunksize = 100
entityids = (id for id in entityids)
chunk = list(islice(entityids, chunksize))
calls = []
while len(chunk) > 0:
label_query = prep_query(base_query, "rdfs:label", chunk)
altLabel_query = prep_query(base_query, "skos:altLabel", chunk)
label_results = run_query_and_parse(label_query, is_alt=False)
altLabel_results = run_query_and_parse(altLabel_query, is_alt=True)
calls.extend([label_results, altLabel_results])
chunk = list(islice(entityids, chunksize))
return chain(*calls)
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser("Use wikidata to find transliterations of terms")
parser.add_argument('inputs', type=str, nargs='+', help='one or more files to read. the inputs are generated by wikidata_search.py')
parser.add_argument('--topN', type=int, nargs='+', help='limit number of wikidata search results to use, can pass one arg for each source.')
parser.add_argument('--output', type=str, help='an output file. defaults to stdout',default=20)
args = parser.parse_args()
GetAllLabels(args.inputs, args.output, topNs=args.topN)

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access agent article granularity project timestamp views
all-access all-agents 2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 1148284
all-access all-agents Coronavirus_disease_2019 daily en.wikipedia 2020032600 292272
all-access all-agents Severe_acute_respiratory_syndrome_coronavirus_2 daily en.wikipedia 2020032600 76785
all-access all-agents Misinformation_related_to_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 26004
all-access all-agents Social_distancing daily en.wikipedia 2020032600 20480
all-access all-agents Transmission_(medicine) daily en.wikipedia 2020032600 4232
all-access all-agents Contact_tracing daily en.wikipedia 2020032600 1496
all-access all-agents 2019–20_coronavirus_pandemic_by_country_and_territory daily en.wikipedia 2020032600 298603
all-access all-agents Timeline_of_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 23011
all-access all-agents 2020_coronavirus_pandemic_in_Asia daily en.wikipedia 2020032600 12921
all-access all-agents 2020_stock_market_crash daily en.wikipedia 2020032600 11179
all-access all-agents Acute_respiratory_distress_syndrome daily en.wikipedia 2020032600 7729
all-access all-agents Impact_of_the_2019–20_coronavirus_pandemic_on_cinema daily en.wikipedia 2020032600 7637
all-access all-agents World_Health_Organization daily en.wikipedia 2020032600 47129
all-access all-agents 2019–20_coronavirus_pandemic_in_mainland_China daily en.wikipedia 2020032600 51344
all-access all-agents 2020_Hubei_lockdowns daily en.wikipedia 2020032600 16470
all-access all-agents 2020_coronavirus_pandemic_in_Europe daily en.wikipedia 2020032600 41800
all-access all-agents 2020_coronavirus_pandemic_in_Iran daily en.wikipedia 2020032600 26916
all-access all-agents 2020_coronavirus_pandemic_in_Italy daily en.wikipedia 2020032600 297687
all-access all-agents 2020_coronavirus_pandemic_in_North_America daily en.wikipedia 2020032600 8528
all-access all-agents 2020_coronavirus_pandemic_in_Oceania daily en.wikipedia 2020032600 3195
all-access all-agents 2020_coronavirus_pandemic_in_South_America daily en.wikipedia 2020032600 4458
all-access all-agents 2020_coronavirus_pandemic_in_South_Korea daily en.wikipedia 2020032600 28623
all-access all-agents 2020_coronavirus_pandemic_in_the_United_Kingdom daily en.wikipedia 2020032600 111856
all-access all-agents COVID-19_drug_development daily en.wikipedia 2020032600 5909
all-access all-agents COVID-19_testing daily en.wikipedia 2020032600 52907
all-access all-agents COVID-19_vaccine daily en.wikipedia 2020032600 19644
all-access all-agents Chloroquine daily en.wikipedia 2020032600 40958
all-access all-agents Coronavirus daily en.wikipedia 2020032600 397959
all-access all-agents Grand_Princess daily en.wikipedia 2020032600 1860
all-access all-agents Huanan_Seafood_Wholesale_Market daily en.wikipedia 2020032600 23413
all-access all-agents Impact_of_the_2019–20_coronavirus_pandemic_on_politics daily en.wikipedia 2020032600 1662
all-access all-agents National_responses_to_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 3936
all-access all-agents Tedros_Adhanom daily en.wikipedia 2020032600 36307
all-access all-agents 2020_coronavirus_pandemic_in_Africa daily en.wikipedia 2020032600 17394
all-access all-agents Remdesivir daily en.wikipedia 2020032600 28887
all-access all-agents Angiotensin-converting_enzyme_2 daily en.wikipedia 2020032600 12059
all-access all-agents Case_chronology_of_the_2019–20_coronavirus_pandemic_in_March_2020 daily en.wikipedia 2020032600 1
all-access all-agents List_of_deaths_from_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 9936
all-access all-agents List_of_events_affected_by_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 3746
all-access all-agents Timeline_of_the_2019–20_coronavirus_pandemic_in_February_2020 daily en.wikipedia 2020032600 9543
all-access all-agents Timeline_of_the_2019–20_coronavirus_pandemic_in_March_2020 daily en.wikipedia 2020032600 18731
all-access all-agents Timeline_of_the_2019–20_coronavirus_pandemic_in_November_2019_–_January_2020 daily en.wikipedia 2020032600 15929
all-access all-agents 2020_coronavirus_pandemic_in_Canada daily en.wikipedia 2020032600 75601
all-access all-agents 2020_coronavirus_pandemic_in_Denmark daily en.wikipedia 2020032600 15541
all-access all-agents 2020_coronavirus_pandemic_in_the_United_States daily en.wikipedia 2020032600 337676
all-access all-agents 2019–20_coronavirus_pandemic_in_Hubei daily en.wikipedia 2020032600 3229
all-access all-agents 2019–20_coronavirus_pandemic_in_Shanghai daily en.wikipedia 2020032600 332
all-access all-agents 2020_coronavirus_pandemic_in_Australia daily en.wikipedia 2020032600 86969
all-access all-agents 2020_coronavirus_pandemic_in_Azerbaijan daily en.wikipedia 2020032600 2998
all-access all-agents 2020_coronavirus_pandemic_in_Belgium daily en.wikipedia 2020032600 27107
all-access all-agents 2020_coronavirus_pandemic_in_Bosnia_and_Herzegovina daily en.wikipedia 2020032600 4817
all-access all-agents 2020_coronavirus_pandemic_in_Bulgaria daily en.wikipedia 2020032600 13634
all-access all-agents 2020_coronavirus_pandemic_in_California daily en.wikipedia 2020032600 24400
all-access all-agents 2020_coronavirus_pandemic_in_Croatia daily en.wikipedia 2020032600 10989
all-access all-agents 2020_coronavirus_pandemic_in_Egypt daily en.wikipedia 2020032600 7633
all-access all-agents 2020_coronavirus_pandemic_in_Finland daily en.wikipedia 2020032600 12485
all-access all-agents 2020_coronavirus_pandemic_in_France daily en.wikipedia 2020032600 55204
all-access all-agents 2020_coronavirus_pandemic_in_Germany daily en.wikipedia 2020032600 87011
all-access all-agents 2020_coronavirus_pandemic_in_Greece daily en.wikipedia 2020032600 17960
all-access all-agents 2020_coronavirus_pandemic_in_Hungary daily en.wikipedia 2020032600 8967
all-access all-agents 2020_coronavirus_pandemic_in_Illinois daily en.wikipedia 2020032600 8431
all-access all-agents 2020_coronavirus_pandemic_in_Israel daily en.wikipedia 2020032600 22605
all-access all-agents 2020_coronavirus_pandemic_in_Japan daily en.wikipedia 2020032600 20701
all-access all-agents 2020_coronavirus_pandemic_in_Latvia daily en.wikipedia 2020032600 4453
all-access all-agents 2020_coronavirus_pandemic_in_Malta daily en.wikipedia 2020032600 8668
all-access all-agents 2020_coronavirus_pandemic_in_New_York_(state) daily en.wikipedia 2020032600 50886
all-access all-agents 2020_coronavirus_pandemic_in_Norway daily en.wikipedia 2020032600 11113
all-access all-agents 2020_coronavirus_pandemic_in_Poland daily en.wikipedia 2020032600 49729
all-access all-agents 2020_coronavirus_pandemic_in_Portugal daily en.wikipedia 2020032600 23549
all-access all-agents 2020_coronavirus_pandemic_in_Romania daily en.wikipedia 2020032600 33684
all-access all-agents 2020_coronavirus_pandemic_in_Russia daily en.wikipedia 2020032600 32015
all-access all-agents 2020_coronavirus_pandemic_in_Slovakia daily en.wikipedia 2020032600 8645
all-access all-agents 2020_coronavirus_pandemic_in_Spain daily en.wikipedia 2020032600 114732
all-access all-agents 2020_coronavirus_pandemic_in_Sweden daily en.wikipedia 2020032600 42353
all-access all-agents 2020_coronavirus_pandemic_in_Switzerland daily en.wikipedia 2020032600 29282
all-access all-agents 2020_coronavirus_pandemic_in_Taiwan daily en.wikipedia 2020032600 8219
all-access all-agents 2020_coronavirus_pandemic_in_Turkey daily en.wikipedia 2020032600 99213
all-access all-agents 2020_coronavirus_pandemic_in_Venezuela daily en.wikipedia 2020032600 2713
all-access all-agents 2020_coronavirus_pandemic_in_Washington_(state) daily en.wikipedia 2020032600 24179
all-access all-agents 2020_coronavirus_pandemic_in_the_Czech_Republic daily en.wikipedia 2020032600 28588
all-access all-agents 2020_coronavirus_pandemic_in_the_Netherlands daily en.wikipedia 2020032600 42641
all-access all-agents 2020_coronavirus_pandemic_in_the_Philippines daily en.wikipedia 2020032600 73748
all-access all-agents 2020_coronavirus_pandemic_in_the_Republic_of_Ireland daily en.wikipedia 2020032600 27559
all-access all-agents Centers_for_Disease_Control_and_Prevention daily en.wikipedia 2020032600 13921
all-access all-agents Concerns_and_controversies_at_the_2020_Summer_Olympics daily en.wikipedia 2020032600 371
all-access all-agents Coronavirus_party daily en.wikipedia 2020032600 140
all-access all-agents Criticism_of_response_to_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 2196
all-access all-agents Extracorporeal_membrane_oxygenation daily en.wikipedia 2020032600 6477
all-access all-agents Families_First_Coronavirus_Response_Act daily en.wikipedia 2020032600 3573
all-access all-agents Financial_impact_of_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 951
all-access all-agents Hydroxychloroquine daily en.wikipedia 2020032600 48053
all-access all-agents Impact_of_the_2019–20_coronavirus_pandemic_on_prisons daily en.wikipedia 2020032600 818
all-access all-agents Impact_of_the_2019–20_coronavirus_pandemic_on_television daily en.wikipedia 2020032600 3708
all-access all-agents Impact_of_the_2019–20_coronavirus_pandemic_on_the_2020_Summer_Olympics daily en.wikipedia 2020032600 1630
all-access all-agents Impact_of_the_2019–20_coronavirus_pandemic_on_the_video_game_industry daily en.wikipedia 2020032600 1180
all-access all-agents Li_Wenliang daily en.wikipedia 2020032600 30339
all-access all-agents National_Health_Commission daily en.wikipedia 2020032600 783
all-access all-agents Severe_acute_respiratory_syndrome daily en.wikipedia 2020032600 50334
all-access all-agents Socio-economic_impact_of_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 12044
all-access all-agents U.S._state_and_local_government_response_to_the_2020_coronavirus_pandemic daily en.wikipedia 2020032600 12958
all-access all-agents Wuhan_Institute_of_Virology daily en.wikipedia 2020032600 30164
all-access all-agents 2019–20_coronavirus_pandemic_in_Henan daily en.wikipedia 2020032600 193
all-access all-agents 2019–20_coronavirus_pandemic_in_Sichuan daily en.wikipedia 2020032600 168
all-access all-agents 2020_India_coronavirus_lockdown daily en.wikipedia 2020032600 9829
all-access all-agents 2020_coronavirus_pandemic_in_Albania daily en.wikipedia 2020032600 4376
all-access all-agents 2020_coronavirus_pandemic_in_Andorra daily en.wikipedia 2020032600 1467
all-access all-agents 2020_coronavirus_pandemic_in_Austria daily en.wikipedia 2020032600 20664
all-access all-agents 2020_coronavirus_pandemic_in_Belarus daily en.wikipedia 2020032600 4509
all-access all-agents 2020_coronavirus_pandemic_in_Estonia daily en.wikipedia 2020032600 5329
all-access all-agents 2020_coronavirus_pandemic_in_Iceland daily en.wikipedia 2020032600 11564
all-access all-agents 2020_coronavirus_pandemic_in_Kazakhstan daily en.wikipedia 2020032600 2745
all-access all-agents 2020_coronavirus_pandemic_in_Kosovo daily en.wikipedia 2020032600 6837
all-access all-agents 2020_coronavirus_pandemic_in_Liechtenstein daily en.wikipedia 2020032600 1439
all-access all-agents 2020_coronavirus_pandemic_in_Lithuania daily en.wikipedia 2020032600 10180
all-access all-agents 2020_coronavirus_pandemic_in_Luxembourg daily en.wikipedia 2020032600 5606
all-access all-agents 2020_coronavirus_pandemic_in_Manitoba daily en.wikipedia 2020032600 432
all-access all-agents 2020_coronavirus_pandemic_in_Moldova daily en.wikipedia 2020032600 2967
all-access all-agents 2020_coronavirus_pandemic_in_Monaco daily en.wikipedia 2020032600 1300
all-access all-agents 2020_coronavirus_pandemic_in_North_Korea daily en.wikipedia 2020032600 22575
all-access all-agents 2020_coronavirus_pandemic_in_North_Macedonia daily en.wikipedia 2020032600 4507
all-access all-agents 2020_coronavirus_pandemic_in_North_Rhine-Westphalia daily en.wikipedia 2020032600 714
all-access all-agents 2020_coronavirus_pandemic_in_San_Marino daily en.wikipedia 2020032600 4290
all-access all-agents 2020_coronavirus_pandemic_in_Slovenia daily en.wikipedia 2020032600 5986
all-access all-agents 2020_coronavirus_pandemic_in_Togo daily en.wikipedia 2020032600 1329
all-access all-agents 2020_coronavirus_pandemic_in_Uganda daily en.wikipedia 2020032600 716
all-access all-agents 2020_coronavirus_pandemic_in_Ukraine daily en.wikipedia 2020032600 11876
all-access all-agents 2020_coronavirus_pandemic_in_Vatican_City daily en.wikipedia 2020032600 2727
all-access all-agents Case_fatality_rate daily en.wikipedia 2020032600 5996
all-access all-agents Coronaviridae daily en.wikipedia 2020032600 12035
all-access all-agents Coronavirus_Aid,_Relief,_and_Economic_Security_Act daily en.wikipedia 2020032600 8346
all-access all-agents Coronavirus_recession daily en.wikipedia 2020032600 923
all-access all-agents Darvinson_Rojas daily en.wikipedia 2020032600 8
all-access all-agents Diamond_Princess_(ship) daily en.wikipedia 2020032600 18047
all-access all-agents Media_coverage_of_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 85
all-access all-agents Zhong_Nanshan daily en.wikipedia 2020032600 67489
all-access all-agents 2020_coronavirus_pandemic_in_Belize daily en.wikipedia 2020032600 725
all-access all-agents 2020_coronavirus_pandemic_in_French_Polynesia daily en.wikipedia 2020032600 714
all-access all-agents 2020_coronavirus_pandemic_in_Mozambique daily en.wikipedia 2020032600 540
all-access all-agents 2020_coronavirus_pandemic_in_Transnistria daily en.wikipedia 2020032600 548
all-access all-agents 2020_coronavirus_pandemic_in_Zambia daily en.wikipedia 2020032600 517
all-access all-agents Chen_Wei_(medical_scientist) daily en.wikipedia 2020032600 297
all-access all-agents Disease_cluster daily en.wikipedia 2020032600 488
all-access all-agents Panic_buying daily en.wikipedia 2020032600 3521
all-access all-agents River_of_Grace_Community_Church daily en.wikipedia 2020032600 69
all-access all-agents COVID-19_related_curfews_and_lockdowns daily en.wikipedia 2020032600 6191
all-access all-agents Evacuations_related_to_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 752
all-access all-agents Impact_of_the_2019–20_coronavirus_pandemic_on_science_and_technology daily en.wikipedia 2020032600 402
all-access all-agents List_of_SARS_outbreaks daily en.wikipedia 2020032600 1034
all-access all-agents List_of_incidents_of_xenophobia_and_racism_related_to_the_2019–20_coronavirus_pandemic daily en.wikipedia 2020032600 8800
all-access all-agents Novel_coronavirus daily en.wikipedia 2020032600 4814
all-access all-agents 2020_Italy_coronavirus_lockdown daily en.wikipedia 2020032600 34176
all-access all-agents 2020_Malaysia_movement_control_order daily en.wikipedia 2020032600 8444
all-access all-agents 2020_Russia–Saudi_Arabia_oil_price_war daily en.wikipedia 2020032600 5071
all-access all-agents 2020_coronavirus_pandemic_in_Guernsey daily en.wikipedia 2020032600 1376
all-access all-agents 2020_coronavirus_pandemic_in_India daily en.wikipedia 2020032600 513901
all-access all-agents 2020_coronavirus_pandemic_on_cruise_ships daily en.wikipedia 2020032600 9897
all-access all-agents Anthony_Fauci daily en.wikipedia 2020032600 103205
all-access all-agents Charles,_Prince_of_Wales daily en.wikipedia 2020032600 89902
all-access all-agents Coalition_for_Epidemic_Preparedness_Innovations daily en.wikipedia 2020032600 1270
all-access all-agents Eurovision_Song_Contest_2020 daily en.wikipedia 2020032600 7669
all-access all-agents Ken_Cuccinelli daily en.wikipedia 2020032600 511
all-access all-agents Larry_Kudlow daily en.wikipedia 2020032600 3616
all-access all-agents Mike_Pence daily en.wikipedia 2020032600 21067
all-access all-agents Olga_Kurylenko daily en.wikipedia 2020032600 5613
all-access all-agents Robert_C._O'Brien_(attorney) daily en.wikipedia 2020032600 451
all-access all-agents Terrence_McNally daily en.wikipedia 2020032600 16988
all-access all-agents Timeline_of_the_2020_coronavirus_pandemic_in_India daily en.wikipedia 2020032600 21701
all-access all-agents Tom_Hanks daily en.wikipedia 2020032600 25276
all-access all-agents 2020_Luzon_enhanced_community_quarantine daily en.wikipedia 2020032600 25708
all-access all-agents 2020_coronavirus_pandemic_in_Afghanistan daily en.wikipedia 2020032600 4723
all-access all-agents 2020_coronavirus_pandemic_in_Alberta daily en.wikipedia 2020032600 3772
all-access all-agents 2020_coronavirus_pandemic_in_Argentina daily en.wikipedia 2020032600 10555
all-access all-agents 2020_coronavirus_pandemic_in_Arkansas daily en.wikipedia 2020032600 4215
all-access all-agents 2020_coronavirus_pandemic_in_Balkans daily en.wikipedia 2020032600 113
all-access all-agents 2020_coronavirus_pandemic_in_Brazil daily en.wikipedia 2020032600 24449
all-access all-agents 2020_coronavirus_pandemic_in_Cambodia daily en.wikipedia 2020032600 3095
all-access all-agents 2020_coronavirus_pandemic_in_Chile daily en.wikipedia 2020032600 5834
all-access all-agents 2020_coronavirus_pandemic_in_Colorado daily en.wikipedia 2020032600 3925
all-access all-agents 2020_coronavirus_pandemic_in_Costa_Rica daily en.wikipedia 2020032600 3554
all-access all-agents 2020_coronavirus_pandemic_in_Florida daily en.wikipedia 2020032600 5044
all-access all-agents 2020_coronavirus_pandemic_in_Georgia_(U.S._state) daily en.wikipedia 2020032600 6012
all-access all-agents 2020_coronavirus_pandemic_in_Hong_Kong daily en.wikipedia 2020032600 6073
all-access all-agents 2020_coronavirus_pandemic_in_Indonesia daily en.wikipedia 2020032600 18271
all-access all-agents 2020_coronavirus_pandemic_in_Iraq daily en.wikipedia 2020032600 3395
all-access all-agents 2020_coronavirus_pandemic_in_Karnataka daily en.wikipedia 2020032600 49937
all-access all-agents 2020_coronavirus_pandemic_in_Kerala daily en.wikipedia 2020032600 19340
all-access all-agents 2020_coronavirus_pandemic_in_Louisiana daily en.wikipedia 2020032600 7425
all-access all-agents 2020_coronavirus_pandemic_in_Malaysia daily en.wikipedia 2020032600 26146
all-access all-agents 2020_coronavirus_pandemic_in_Maryland daily en.wikipedia 2020032600 4922
all-access all-agents 2020_coronavirus_pandemic_in_Massachusetts daily en.wikipedia 2020032600 8363
all-access all-agents 2020_coronavirus_pandemic_in_Metro_Manila daily en.wikipedia 2020032600 1688
all-access all-agents 2020_coronavirus_pandemic_in_Michigan daily en.wikipedia 2020032600 6974
all-access all-agents 2020_coronavirus_pandemic_in_Minnesota daily en.wikipedia 2020032600 3120
all-access all-agents 2020_coronavirus_pandemic_in_Morocco daily en.wikipedia 2020032600 25586
all-access all-agents 2020_coronavirus_pandemic_in_Nepal daily en.wikipedia 2020032600 17229
all-access all-agents 2020_coronavirus_pandemic_in_New_Jersey daily en.wikipedia 2020032600 7129
all-access all-agents 2020_coronavirus_pandemic_in_New_Zealand daily en.wikipedia 2020032600 23220
all-access all-agents 2020_coronavirus_pandemic_in_Northern_Ireland daily en.wikipedia 2020032600 2528
all-access all-agents 2020_coronavirus_pandemic_in_Ohio daily en.wikipedia 2020032600 8548
all-access all-agents 2020_coronavirus_pandemic_in_Ontario daily en.wikipedia 2020032600 9124
all-access all-agents 2020_coronavirus_pandemic_in_Oregon daily en.wikipedia 2020032600 2749
all-access all-agents 2020_coronavirus_pandemic_in_Pakistan daily en.wikipedia 2020032600 98452
all-access all-agents 2020_coronavirus_pandemic_in_Portland,_Oregon daily en.wikipedia 2020032600 400
all-access all-agents 2020_coronavirus_pandemic_in_Puerto_Rico daily en.wikipedia 2020032600 4196
all-access all-agents 2020_coronavirus_pandemic_in_Quebec daily en.wikipedia 2020032600 8373
all-access all-agents 2020_coronavirus_pandemic_in_Singapore daily en.wikipedia 2020032600 9932
all-access all-agents 2020_coronavirus_pandemic_in_South_Africa daily en.wikipedia 2020032600 72704
all-access all-agents 2020_coronavirus_pandemic_in_South_Carolina daily en.wikipedia 2020032600 5865
all-access all-agents 2020_coronavirus_pandemic_in_Sri_Lanka daily en.wikipedia 2020032600 16104
all-access all-agents 2020_coronavirus_pandemic_in_Thailand daily en.wikipedia 2020032600 12413
all-access all-agents 2020_coronavirus_pandemic_in_Uruguay daily en.wikipedia 2020032600 2259
all-access all-agents 2020_coronavirus_pandemic_in_Vermont daily en.wikipedia 2020032600 416
all-access all-agents 2020_coronavirus_pandemic_in_Vietnam daily en.wikipedia 2020032600 10539
all-access all-agents 2020_coronavirus_pandemic_in_Virginia daily en.wikipedia 2020032600 6390
all-access all-agents 2020_coronavirus_pandemic_in_Washington,_D.C. daily en.wikipedia 2020032600 1939
all-access all-agents 2020_coronavirus_pandemic_in_Wisconsin daily en.wikipedia 2020032600 1717
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820 all-access all-agents Template:2020_coronavirus_pandemic_in_India daily en.wikipedia 2020032600 103
821 all-access all-agents Template:2020_coronavirus_pandemic_in_the_United_Kingdom daily en.wikipedia 2020032600 70
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825 all-access all-agents Template:COVID-19_Barnstar daily en.wikipedia 2020032600 5
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827 all-access all-agents Template:COVID19_GS_editnotice daily en.wikipedia 2020032600 7
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830 all-access all-agents Template:Current_confirmed_COVID-19_cases_in_Greece_by_gender_and_age daily en.wikipedia 2020032600 3
831 all-access all-agents Template:Interactive_COVID-19_maps daily en.wikipedia 2020032600 321
832 all-access all-agents Template:Off_wiki_Covid_19 daily en.wikipedia 2020032600 1
833 all-access all-agents Template:PartofWikiProject_COVID-19 daily en.wikipedia 2020032600 1
834 all-access all-agents Template:U.S._COVID-19_case_charts daily en.wikipedia 2020032600 9
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851 all-access all-agents Draft:Santa_Clara_Coronavirus_Data daily en.wikipedia 2020032600 2
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855 all-access all-agents Jinyintan_Hospital daily en.wikipedia 2020032600 91
856 all-access all-agents Liang_Wudong daily en.wikipedia 2020032600 359
857 all-access all-agents Health_Protection_(Coronavirus,_Restrictions)_(England)_Regulations_2020 daily en.wikipedia 2020032600 291
858 all-access all-agents Middle_Class_Health_Benefits_Tax_Repeal_Act_of_2019 daily en.wikipedia 2020032600 83

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#!/usr/bin/env python3
###############################################################################
#
# This script assumes the presence of the COVID-19 repo.
#
# It (1) reads in the article list and then (2) calls the Wikimedia API to
# fetch view information for each article. Output is to (3) JSON and TSV.
#
###############################################################################
import requests
import argparse
import json
import csv
import time
import os.path
import datetime
#import feather
def parse_args():
parser = argparse.ArgumentParser(description='Call the views API repeatedly.')
parser.add_argument('-o', '--output_folder', help='Where to save output', default="../data/", type=str)
parser.add_argument('-i', '--article_file', help='File listing article names', default="../resources/articles.txt", type=str)
parser.add_argument('-d', '--query_date', help='Date if not yesterday, in YYYYMMDD format please.', type=str)
args = parser.parse_args()
return(args)
def main():
args = parse_args()
outputPath = args.output_folder
articleFile = args.article_file
if (args.query_date):
queryDate = args.query_date
else:
yesterday = datetime.datetime.today() - datetime.timedelta(days=1)
queryDate = yesterday.strftime("%Y%m%d")
queryDate = queryDate + "00" #requires specifying hours
articleList = []
#1 Load up the list of article names
j_Out = f"{outputPath}dailyviews{queryDate}.json"
t_Out = f"{outputPath}dailyviews{queryDate}.tsv"
with open(articleFile, 'r') as infile:
next(infile) #skip header
articleList = list(infile)
j = []
#2 Repeatedly call the API with that list of names
for a in articleList:
a = a.strip("\"\n") #destringify
url= f"https://wikimedia.org/api/rest_v1/metrics/pageviews/per-article/en.wikipedia/all-access/all-agents/{a}/daily/{queryDate}/{queryDate}"
response = requests.get(url)
if response.ok:
jd = json.loads(response.content)
j.append(jd["items"][0])
time.sleep(.1)
else:
print(f"Not ok response: {response.status_code} from {url}")
#3 Save results as a JSON and TSV
#all data in j now, make json file
with open(j_Out, 'w') as j_outfile:
json.dump(j, j_outfile, indent=2)
with open(t_Out, 'w') as t_outfile:
dw = csv.DictWriter(t_outfile, sorted(j[0].keys()), delimiter='\t')
dw.writeheader()
dw.writerows(j)
# f_Out = outputPath + "dailyviews" + queryDate + ".feather"
# read the json back in and make a feather file?
if __name__ == "__main__":
main()