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https://github.com/chriniko13/eresearch-scopus-consumer

activemq awaitility dropwizard-metrics guava jackson lombok spring-boot-aop spring-boot-undertow spring-boot-web wiremock

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Host: GitHub
URL: https://github.com/chriniko13/eresearch-scopus-consumer
Owner: chriniko13
Created: 2019-04-17T09:38:53.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2022-08-18T19:06:17.000Z (about 2 years ago)
Last Synced: 2023-03-04T17:47:12.493Z (over 1 year ago)
Topics: activemq, awaitility, dropwizard-metrics, guava, jackson, lombok, spring-boot-aop, spring-boot-undertow, spring-boot-web, wiremock
Language: Java
Size: 255 KB
Stars: 0
Watchers: 2
Forks: 0
Open Issues: 2
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

# Eresearch Elsevier Scopus Consumer Service #

### Description
The purpose of this service is to consume the info which is provided from the
following elsevier api: http://api.elsevier.com/documentation/SCOPUSSearchAPI.wadl

The search view (result from the consuming of the service we get)
is the following: http://api.elsevier.com/documentation/search/SCOPUSSearchViews.htm
we get the COMPLETE view.

See also:
* http://api.elsevier.com/documentation/search/SCOPUSSearchTips.htm
* http://api.elsevier.com/content/search/fields/scopus

The search query we use are the following:
* query=au-id(23007591800) (in code this is what we use:"AU-ID(" + authorIdentifierNumber + ")&view=COMPLETE")

au-id stands for Author Identifier Number.

### External Dependencies needed in order to run service

* Academic VPN in order to fetch results from Elsevier API (https://dev.elsevier.com/documentation/ScienceDirectSearchAPI.wadl#d1e166)

* ActiveMQ
* Execute: `docker-compose up`
* Execute: `docker-compose down`

### Integration Tests (run docker-compose first)

* Execute: `mvn clean verify`

### Create Docker Image
* Execute: `mvn clean install -DskipITs=true`
* Execute: `docker build -t chriniko/eresearch-scopus-consumer:1.0 .` in order to build docker image.

* Fast: `mvn clean install -DskipITs=true && docker build -t chriniko/eresearch-scopus-consumer:1.0 .`

### How to run service (not dockerized)
* Execute: `docker-compose up`

* Two options:
* Execute:
* `mvn clean install -DskipITs=true`
* `java -jar -Dspring.profiles.active=dev target/eresearch-elsevier-scopus-consumer-1.0-boot.jar`

* Execute:
* `mvn spring-boot:run -Dspring.profiles.active=dev`

* (Optional) When you finish: `docker-compose down`

### How to run service (dockerized)
* Uncomment the section in `docker-compose.yml` file for service: `eresearch-scopus-consumer:`

* Execute: `mvn clean install -DskipITs=true`

* Execute: `docker-compose build`

* Execute: `docker-compose up`

* (Optional) When you finish: `docker-compose down`

### Example Request

```json

{
"au-id":"23007591800"
}

```

### Example Response

```json
{
"operation-result": true,
"process-finished-date": "2019-04-16T22:11:59.629Z",
"requested-elsevier-scopus-consumer-dto": {
"au-id": "23007591800"
},
"fetched-results-size": 2,
"fetched-results": [
{
"search-results": {
"opensearch:totalResults": "42",
"opensearch:startIndex": "0",
"opensearch:itemsPerPage": "25",
"opensearch:Query": {
"@role": "request",
"@searchTerms": "AU-ID(23007591800)",
"@startPage": "0"
},
"link": [
{
"@_fa": "true",
"@href": "https://api.elsevier.com/content/search/scopus?start=0&count=25&query=AU-ID%2823007591800%29&view=COMPLETE",
"@ref": "self",
"@type": "application/json"
},
{
"@_fa": "true",
"@href": "https://api.elsevier.com/content/search/scopus?start=0&count=25&query=AU-ID%2823007591800%29&view=COMPLETE",
"@ref": "first",
"@type": "application/json"
},
{
"@_fa": "true",
"@href": "https://api.elsevier.com/content/search/scopus?start=25&count=25&query=AU-ID%2823007591800%29&view=COMPLETE",
"@ref": "next",
"@type": "application/json"
},
{
"@_fa": "true",
"@href": "https://api.elsevier.com/content/search/scopus?start=17&count=25&query=AU-ID%2823007591800%29&view=COMPLETE",
"@ref": "last",
"@type": "application/json"
}
],
"entry": [
{
"@force-array": null,
"error": null,
"@_fa": "true",
"link": [
{
"@_fa": "true",
"@href": "https://api.elsevier.com/content/abstract/scopus_id/85045740431",
"@ref": "self",
"@type": null
},
{
"@_fa": "true",
"@href": "https://api.elsevier.com/content/abstract/scopus_id/85045740431?field=author,affiliation",
"@ref": "author-affiliation",
"@type": null
},
{
"@_fa": "true",
"@href": "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045740431&origin=inward",
"@ref": "scopus",
"@type": null
},
{
"@_fa": "true",
"@href": "https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85045740431&origin=inward",
"@ref": "scopus-citedby",
"@type": null
}
],
"prism:url": "https://api.elsevier.com/content/abstract/scopus_id/85045740431",
"dc:identifier": "SCOPUS_ID:85045740431",
"eid": "2-s2.0-85045740431",
"dc:title": "Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe",
"prism:aggregationType": "Journal",
"citedby-count": "5",
"prism:publicationName": "Climate Dynamics",
"prism:isbn": null,
"prism:issn": "09307575",
"prism:eIssn": "14320894",
"prism:volume": "52",
"prism:issueIdentifier": "1-2",
"prism:pageRange": "1187-1210",
"prism:coverDate": "2019-01-24",
"prism:coverDisplayDate": "24 January 2019",
"prism:doi": "10.1007/s00382-018-4183-6",
"pii": null,
"pubmed-id": null,
"orcid": null,
"dc:creator": "Vautard R.",
"affiliation": [
{
"@_fa": "true",
"affilname": "Universite Paris-Saclay",
"affiliation-city": "Saint-Aubin",
"affiliation-country": "France",
"afid": "60106017",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60106017",
"name-variant": null
},
{
"@_fa": "true",
"affilname": "Met Office",
"affiliation-city": "Exeter",
"affiliation-country": "United Kingdom",
"afid": "60018258",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60018258",
"name-variant": null
},
{
"@_fa": "true",
"affilname": "Centro Nacional de Supercomputación",
"affiliation-city": "Barcelona",
"affiliation-country": "Spain",
"afid": "60097745",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60097745",
"name-variant": null
},
{
"@_fa": "true",
"affilname": "Danmarks Meteorologiske Institut",
"affiliation-city": "Copenhagen",
"affiliation-country": "Denmark",
"afid": "60014500",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60014500",
"name-variant": null
},
{
"@_fa": "true",
"affilname": "University of Edinburgh",
"affiliation-city": "Edinburgh",
"affiliation-country": "United Kingdom",
"afid": "60027272",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60027272",
"name-variant": null
},
{
"@_fa": "true",
"affilname": "Royal Netherlands Meteorological Institute",
"affiliation-city": "De Bilt",
"affiliation-country": "Netherlands",
"afid": "60000203",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60000203",
"name-variant": null
},
{
"@_fa": "true",
"affilname": "ETH Zürich",
"affiliation-city": "Zurich ZH,",
"affiliation-country": "Switzerland",
"afid": "60025858",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60025858",
"name-variant": null
},
{
"@_fa": "true",
"affilname": "Helmholtz-Zentrum Geesthacht - Zentrum für Material- und Küstenforschung GmbH",
"affiliation-city": "Geesthacht",
"affiliation-country": "Germany",
"afid": "60025288",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60025288",
"name-variant": null
},
{
"@_fa": "true",
"affilname": "University of Reading",
"affiliation-city": "Reading",
"affiliation-country": "United Kingdom",
"afid": "60012197",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60012197",
"name-variant": null
},
{
"@_fa": "true",
"affilname": "University of Leeds",
"affiliation-city": "Leeds",
"affiliation-country": "United Kingdom",
"afid": "60012070",
"affiliation-url": "https://api.elsevier.com/content/affiliation/affiliation_id/60012070",
"name-variant": null
}
],
"author": [
{
"@_fa": "true",
"@seq": "1",
"author-url": "https://api.elsevier.com/content/author/author_id/56253852700",
"authid": "56253852700",
"orcid": null,
"authname": "Vautard R.",
"given-name": "Robert",
"surname": "Vautard",
"initials": "R.",
"afid": [
{
"@_fa": "true",
"$": "60106017"
}
]
},
{
"@_fa": "true",
"@seq": "2",
"author-url": "https://api.elsevier.com/content/author/author_id/23007591800",
"authid": "23007591800",
"orcid": null,
"authname": "Christidis N.",
"given-name": "Nikolaos",
"surname": "Christidis",
"initials": "N.",
"afid": [
{
"@_fa": "true",
"$": "60018258"
}
]
},
{
"@_fa": "true",
"@seq": "3",
"author-url": "https://api.elsevier.com/content/author/author_id/56487514000",
"authid": "56487514000",
"orcid": null,
"authname": "Ciavarella A.",
"given-name": "Andrew",
"surname": "Ciavarella",
"initials": "A.",
"afid": [
{
"@_fa": "true",
"$": "60018258"
}
]
},
{
"@_fa": "true",
"@seq": "4",
"author-url": "https://api.elsevier.com/content/author/author_id/55833427300",
"authid": "55833427300",
"orcid": null,
"authname": "Alvarez-Castro C.",
"given-name": "Carmen",
"surname": "Alvarez-Castro",
"initials": "C.",
"afid": [
{
"@_fa": "true",
"$": "60106017"
}
]
},
{
"@_fa": "true",
"@seq": "5",
"author-url": "https://api.elsevier.com/content/author/author_id/55340272500",
"authid": "55340272500",
"orcid": null,
"authname": "Bellprat O.",
"given-name": "Omar",
"surname": "Bellprat",
"initials": "O.",
"afid": [
{
"@_fa": "true",
"$": "60097745"
}
]
},
{
"@_fa": "true",
"@seq": "6",
"author-url": "https://api.elsevier.com/content/author/author_id/7005170580",
"authid": "7005170580",
"orcid": null,
"authname": "Christiansen B.",
"given-name": "Bo",
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"initials": "B.",
"afid": [
{
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"$": "60014500"
}
]
},
{
"@_fa": "true",
"@seq": "7",
"author-url": "https://api.elsevier.com/content/author/author_id/55763887900",
"authid": "55763887900",
"orcid": null,
"authname": "Colfescu I.",
"given-name": "Ioana",
"surname": "Colfescu",
"initials": "I.",
"afid": [
{
"@_fa": "true",
"$": "60027272"
},
{
"@_fa": "true",
"$": "60012070"
}
]
},
{
"@_fa": "true",
"@seq": "7",
"author-url": "https://api.elsevier.com/content/author/author_id/55763887900",
"authid": "55763887900",
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"authname": "Colfescu I.",
"given-name": "Ioana",
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"afid": [
{
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"$": "60027272"
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{
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}
]
},
{
"@_fa": "true",
"@seq": "8",
"author-url": "https://api.elsevier.com/content/author/author_id/12041435300",
"authid": "12041435300",
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"authname": "Cowan T.",
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"afid": [
{
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"author-url": "https://api.elsevier.com/content/author/author_id/6603432436",
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"afid": [
{
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"$": "60097745"
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{
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"author-url": "https://api.elsevier.com/content/author/author_id/57202619821",
"authid": "57202619821",
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"initials": "J.",
"afid": [
{
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}
]
},
{
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"author-url": "https://api.elsevier.com/content/author/author_id/56684259500",
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"afid": [
{
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}
]
},
{
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"afid": [
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]
},
{
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"@seq": "13",
"author-url": "https://api.elsevier.com/content/author/author_id/57196442844",
"authid": "57196442844",
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"authname": "Hempelmann N.",
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"initials": "N.",
"afid": [
{
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{
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"author-url": "https://api.elsevier.com/content/author/author_id/55800808000",
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}
]
},
{
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"author-url": "https://api.elsevier.com/content/author/author_id/36157178900",
"authid": "36157178900",
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"authname": "Radanovics S.",
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"authname": "Wilcox L.",
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],
"author-count": {
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},
"dc:description": "© 2018, Springer-Verlag GmbH Germany, part of Springer Nature. A detailed analysis is carried out to assess the HadGEM3-A global atmospheric model skill in simulating extreme temperatures, precipitation and storm surges in Europe in the view of their attribution to human influence. The analysis is performed based on an ensemble of 15 atmospheric simulations forced with observed sea surface temperature of the 54 year period 1960–2013. These simulations, together with dual simulations without human influence in the forcing, are intended to be used in weather and climate event attribution. The analysis investigates the main processes leading to extreme events, including atmospheric circulation patterns, their links with temperature extremes, land–atmosphere and troposphere-stratosphere interactions. It also compares observed and simulated variability, trends and generalized extreme value theory parameters for temperature and precipitation. One of the most striking findings is the ability of the model to capture North-Atlantic atmospheric weather regimes as obtained from a cluster analysis of sea level pressure fields. The model also reproduces the main observed weather patterns responsible for temperature and precipitation extreme events. However, biases are found in many physical processes. Slightly excessive drying may be the cause of an overestimated summer interannual variability and too intense heat waves, especially in central/northern Europe. However, this does not seem to hinder proper simulation of summer temperature trends. Cold extremes appear well simulated, as well as the underlying blocking frequency and stratosphere-troposphere interactions. Extreme precipitation amounts are overestimated and too variable. The atmospheric conditions leading to storm surges were also examined in the Baltics region. There, simulated weather conditions appear not to be leading to strong enough storm surges, but winds were found in very good agreement with reanalyses. The performance in reproducing atmospheric weather patterns indicates that biases mainly originate from local and regional physical processes. This makes local bias adjustment meaningful for climate change attribution.",
"authkeywords": null,
"article-number": null,
"subtype": "ar",
"subtypeDescription": "Article",
"source-id": "12172",
"fund-acr": "SPACE",
"fund-no": "607085",
"fund-sponsor": "FP7 Space",
"message": null,
"openaccess": "0",
"openaccessFlag": "false"
},

...

```