Revision 50064
Added by Sandro La Bruzzo over 6 years ago
| modules/dli-service-portal/trunk/DLI.py | ||
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| 133 | 133 |
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| 134 | 134 |
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| 135 | 135 |
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@app.route('/api/queryPid/', methods=['post'])
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def query_pid(): |
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if 'pid' in request.form: |
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print "pid Request for %s "%request.form['pid'] |
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connector = DLIESConnector() |
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result = connector.query_by_id(request.form['pid']) |
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return jsonify(result=result) |
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@app.route('/api/post/', methods=['post', 'get'])
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def query_post(): |
| 138 | 147 |
action = None |
| modules/dli-service-portal/trunk/static/partials/query.html | ||
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| 40 | 40 |
<f class="header blue-text flow-text"> {{ totalPages }}</f>
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</div> |
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</div> |
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<div class="row" ng-hide="result_query.length">
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<div class="row" ng-show="searching">
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<div class="col-lg-12 center-align"> |
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<div class="loader"></div> |
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</div> |
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<!-- |
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<div class="col l12 offset-l4 center-align"> |
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<h5 class="red-text">No match found</h5> |
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</div> --> |
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</div> |
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<div class="row centered" ng-hide="result_query.length"> |
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<div class="text-center"> |
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<h5 class="red-text">No match found</h5> |
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</div> |
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</div> |
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<div class="row centered" ng-show="result_query.length"> |
| 56 | 68 |
<div class="text-center"> |
| 57 | 69 |
<ul class="pagination centered"> |
| modules/dli-service-portal/trunk/static/partials/index.html | ||
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| 4 | 4 |
margin-bottom:5px !important; |
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margin-top:5px !important; |
| 6 | 6 |
} |
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.form-control {
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border: 0px solid #ffffff; |
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} |
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| 7 | 11 |
</style> |
| 8 | 12 |
<!-- Header --> |
| 9 | 13 |
<section style="padding-bottom: 0px"> |
| ... | ... | |
| 12 | 16 |
<div class="col-lg-12 centered"> |
| 13 | 17 |
<img ng-hide="facet" img class="img-responsive img-centered" style="max-width:400px" src="img/logo_big.png" alt=""> |
| 14 | 18 |
<div class="row"> |
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<div class="form-group col-lg-10 floating-label-form-group controls">
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<div class="form-group col-lg-12 ">
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<form ng-submit="makeQuery()"> |
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<label>Type your search!</label> |
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<input class="form-control" placeholder="Type your search!" id="query" ng-autocomplete options="options" required data-validation-required-message="Please enter your query" ng-model="query"> |
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<div class="row"> |
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<div class="col-lg-10"> |
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<input class="form-control" placeholder="Type your search!" id="query" ng-autocomplete options="options" required data-validation-required-message="Please enter your query" ng-model="query"> |
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</div> |
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<div class="col-lg-2" > |
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<a ng-click="makeQuery()" class="btn btn-primary form-control"><span class="glyphicon glyphicon-search"></span> Search</a> |
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</div> |
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</div> |
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</form> |
| 21 | 30 |
</div> |
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<div class="form-group col-lg-2"> |
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<a ng-click="makeQuery()" class="btn btn-primary"><span class="glyphicon glyphicon-search"></span> Search</a> |
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</div> |
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</div> |
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</div> |
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</div> |
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</div> |
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</section> |
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<div class="row centered" ng-show="result_query.length"> |
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<div class="text-center"> |
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<ul class="pagination centered"> |
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<li ><a href="#"><</a></li> |
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<li class="active" ><a href="#">1</a></li> |
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<li><a href="#">2</a></li> |
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<li><a href="#">3</a></li> |
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<li><a href="#">4</a></li> |
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<li><a href="#">5</a></li> |
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<li ><a href="#">></a></li> |
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</ul> |
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</div> |
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</div> |
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<div class="row" style="margin-top: 20px"> |
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<div class="form-group col-lg-12 "> |
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<form ng-submit="makeQuery()"> |
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<div class="row"> |
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<div class="col-lg-10"> |
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<input class="form-control" placeholder="Search by persistent Identifier" id="query" ng-autocomplete options="options" required data-validation-required-message="Please enter your query" ng-model="queryPid"> |
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</div> |
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<div class="row container-fluid" ng-show="result_query.length"> |
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<div class="col-md-3" id="leftCol"> |
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<div class="row" ng-repeat="item in facet"> |
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<div class="panel panel-primary"> |
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<div class="panel-heading"><b>{{ item.facet }}</b></div>
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<div class="panel-body"> |
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<ul class="list-group"> |
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<li class="list-group-item" ng-repeat="value in item.values"> |
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<div class="col-lg-2" > |
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<a ng-click="makeQueryPid()" class="btn btn-primary form-control"><span class="glyphicon glyphicon-search"></span> Search PID</a> |
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</div> |
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</div> |
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</form> |
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</div> |
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<span class="badge">{{ value.value }}</span>
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<a href="#">{{ value.key }}</a>
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</li> |
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</ul> |
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</div> |
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</div> |
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</div> |
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</div> |
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<div class="col-md-9 col-xs-12"> |
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<div class="row" ng-repeat="result in result_query"> |
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<div class="col-lg-12"> |
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<a href="#/detail/{{ result.identifier }}">
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<i ng-hide="result.objectType!= 'unknown' " |
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style="padding: 10px" |
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class="fa fa-question-circle fa-2x blue-text circle responsive-img"></i> |
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<i ng-show="result.objectType=='dataset'" style="padding: 10px" |
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class="fa fa-database fa-2x blue-text circle responsive-img"></i> |
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<i style="padding: 10px" ng-show="result.objectType=='publication'" |
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class="fa fa-book fa-2x blue-text circle responsive-img"></i> |
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<b ng-show="result.title">{{result.title}}</b>
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<b ng-hide="result.title">Metadata non resolved for pid : {{result.pid}}</b>
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</a> |
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</div> |
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</div> |
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<div class="col-lg-12"> |
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<d style="font-size: small"></d> |
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<auth style="font-size: small; color: #1565C0" |
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ng-repeat="author in result.authors"> |
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<f ng-hide="$index==0">,</f> |
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{{author}}
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</auth> |
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<d ng-show="result.date">- {{result.date}}</d>
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</d> |
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</div> |
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</div> |
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<p> |
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<div class="col-lg-2"> |
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<auth style="font-size: small" class="orange-text"> <b>{{ countRelatedDatasets(result)
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}}</b> Related Datasets |
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</auth> |
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</div> |
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<div class="col-lg-2"> |
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<auth style="font-size: small" class="orange-text"><b> {{
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countRelatedPublication(result) }}</b> Related Publications |
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</auth> |
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</div> |
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<div class="col-lg-2"> |
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<auth style="font-size: small" class="orange-text"> <b>{{ countOtherRelations(result)
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}}</b> Other Relations |
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</auth> |
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</div> |
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<div class="col-lg-2"> |
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<auth style="font-size: small" class="orange-text"><a |
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href="{{ result.resolved_url }}" class="orange-text"> <i
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class="fa fa-link"></i> Original Object </a></auth> |
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</div> |
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<div class="col-lg-3"> |
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[ |
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<auth style="font-size: small" class="orange-text" |
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ng-repeat="prov in result.provenance_record"> |
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<f ng-hide="$index==0">,</f> |
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{{prov.name}}
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</auth> |
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<d style="font-size: small">]</d> |
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</div> |
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</div> |
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</div> |
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</div> |
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</section> |
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<section id="#stats" ng-hide="facet"> |
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<section id="#stats"> |
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<div class="container"> |
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<div class="row text-center"> |
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<div class="col-lg-12 col-xs-12"> |
| modules/dli-service-portal/trunk/static/partials/api.html | ||
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| 12 | 12 |
understand systematically what data underpins literature and what literature references |
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data. |
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Scholix maintains an evolving set of <a href="www.scholix.org">Guidelines</a> consisting of: |
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Scholix maintains an evolving set of <a href="http://www.scholix.org">Guidelines</a> consisting of:
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(i) an information model (conceptual definition of what is a Scholix scholarly link), (ii) a |
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link metadata schema (set of metadata fields representing a Scholix link), and (iii) |
| 18 | 18 |
a corresponding XML and JSON schema. |
| ... | ... | |
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The APIs are available from <a |
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href="https://api.scholexplorer.openaire.eu/v1/ui"> here</a>. The results of queries return lists of |
| 44 | 44 |
links encoded as JSON Scholix records. JSON (and XML) schema and example records for Scholix links are availabe on |
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<a href="https://github.com/scholix/schema">GitHib</a>.
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<a href="https://github.com/scholix/schema">GitHub</a>.
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</div> |
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</div> |
| modules/dli-service-portal/trunk/static/partials/about.html | ||
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| 11 | 11 |
Scholexplorer populates and provides access to a graph of links between dataset |
| 12 | 12 |
and literature objects and dataset |
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and dataset objects. Links (and objects) are provided by data sources managed by |
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publishers (e.g. Elsevier, Thomson Reuters), data centers (e.g. PANGAEA, CCDC), or other
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publishers, data centers, or other
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organizations providing services to store and manage links between data sets and |
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publications (e.g. CrossRef, DataCite, OpenAIRE). Scholexplorer aggregates link metadata |
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harvested from |
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the |
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data sources and out of these builds and harmonised and de-duplicated graph of scholarly |
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publications such as CrossRef, DataCite, and OpenAIRE. Scholexplorer aggregates link metadata |
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harvested from the data sources and out of these builds and harmonised and de-duplicated graph of scholarly |
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objects. The graph is openly accessible (CC-0) via <a |
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href="api.scholexplorer.openaire.eu/v1/ui">search REST APIs </a> |
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that return links in <a href="www.scholix.org"> Scholix format</a>. |
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that return links in <a href="http://www.scholix.org"> Scholix format</a>.
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</div> |
| modules/dli-service-portal/trunk/static/partials/statistics.html | ||
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| 7 | 7 |
<li role="presentation" class="active"><a href="#tabstats" role="tab" id="profile-tab" |
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data-toggle="tab" |
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aria-controls="profile" aria-expanded="false"><h4> |
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Graph Statistics</h4></a></li> |
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<li role="presentation"><a href="#graphstats" id="home-tab" role="tab" data-toggle="tab" |
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aria-controls="home" aria-expanded="true"><h4>Tabular Statistics</h4></a> |
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</li> |
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Statistics</h4></a></li> |
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<li role="presentation"><a href="#historystats" role="tab" id="profile-tab" data-toggle="tab" |
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aria-controls="profile" aria-expanded="false"><h4>History |
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Statistics </h4></a></li> |
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aria-controls="profile" aria-expanded="false"><h4>History</h4></a></li> |
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</ul> |
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<div id="myTabContent" class="tab-content"> |
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<div role="tabpanel" class="tab-pane fade active in" id="tabstats" aria-labelledby="home-tab"> |
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<div class="row"> |
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<div class="col-lg-12"> |
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<div> |
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<div class="row center"> |
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<div class="col-lg-4 col-lg-offset-2 col-sm-12"> |
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<h4><b>Links</b></h4> |
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</div> |
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<div class="col l4 s12"> |
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<h4><b>Objects</b></h4> |
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</div> |
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</div> |
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<div class="row center"> |
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<div class="col-lg-4 col-lg-offset-2 col-sm-12"> |
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<div id="chart_links"></div> |
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</div> |
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<div class="col-lg-4 "> |
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<div id="chart_objects"></div> |
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</div> |
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</div> |
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<div class="row center"> |
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<div class="col-lg-4 col-lg-offset-2 col-sm-12"> |
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<h4><b>Literature</b></h4> |
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</div> |
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<div class="col-lg-4 col-lg-offset-2 col-sm-12"> |
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<h4><b>Datasets</b></h4> |
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</div> |
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</div> |
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<div class="row center"> |
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<div class="col-lg-4 col-lg-offset-2 col-sm-12"> |
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<div id="chart_publication"></div> |
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</div> |
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<div class="col-lg-4"> |
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<div id="chart_dataset"></div> |
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</div> |
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</div> |
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</div> |
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</div> |
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</div> |
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</div> |
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<div role="tabpanel" class="tab-pane fade " id="graphstats" aria-labelledby="dropdown1-tab"> |
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<div role="tabpanel" class="tab-pane fade in active" id="tabstats" aria-labelledby="dropdown1-tab"> |
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| 71 | 23 |
<div class="row"> |
| 72 | 24 |
<div class="col-lg-12"> |
| 73 | 25 |
|
| ... | ... | |
| 77 | 29 |
<div class="row"> |
| 78 | 30 |
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| 79 | 31 |
<div class="col-lg-12"> |
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<table class="table table-striped"> |
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<table class="table "> |
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<col> |
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<colgroup span="3"></colgroup> |
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<tr> |
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<td rowspan="1" class="text-left"><b>Content Provider</b></td> |
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<th rowspan="1" class="text-right">Links</th> |
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<th colspan="4" scope="colgroup" class="text-center">Object</th> |
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</tr> |
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<tr> |
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<th class="text-left"></th> |
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<th class="text-right"></th> |
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<th class="text-right" scope="col">Publication</th> |
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<th class="text-right" scope="col">Dataset</th> |
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<th class="text-right" scope="col">Unknown</th> |
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<th class="text-right" scope="col">total</th> |
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</tr> |
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<!-- |
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<tr class="orange-text"> |
| 82 | 54 |
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<td class="text-left"><b>Content provider</b></td> |
| ... | ... | |
| 87 | 59 |
<td class="text-right"><b>Referred datasets</b></td> |
| 88 | 60 |
<td class="text-right"><b>Referred objects of unknown |
| 89 | 61 |
typology</b></td> |
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</tr> |
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--> |
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<!--<td class="right-align">Contributed relationships</td> --> |
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</tr> |
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| 93 | 65 |
<tr ng-repeat="item in stats"> |
| 94 | 66 |
<td class="left-align"><a |
| 95 |
href='#/datasource/id/{{ item.acronym }}'>{{ item.datasource }} </a>
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href='#/datasource/id/{{ item.acronym }}'>{{ item.datasourceName }} </a>
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</td> |
| 97 |
<td class="text-right"> {{ item.numberOfRelations }}</td>
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<td class="text-right">{{ item.numberOfObjects }}</td>
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<td class="text-right">{{ item.referredPublication }}</td>
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<td class="text-right">{{ item.referredDataset }}</td>
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<td class="text-right">{{ item.referredUnknown }}
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<td class="text-right"> {{ item.links }}</td>
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<td class="text-right">{{ item.publication }}</td>
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<td class="text-right">{{ item.dataset }}</td>
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<td class="text-right">{{ item.unknown }}</td>
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<td class="text-right">{{ item.total }}
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</td> |
| 103 | 75 |
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</tr> |
| modules/dli-service-portal/trunk/static/angular/mainPageController.js | ||
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| 96 | 96 |
$location.path("/query/q=" + $scope.query);
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| 97 | 97 |
}; |
| 98 | 98 |
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$scope.makeQueryPid= function () {
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| 100 |
$location.path("/query/q=undefined").search({pid: $scope.queryPid});
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}; |
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| 99 | 103 |
$scope.$watch("query", function () {
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| 100 | 104 |
if($scope.query == null || $scope.query.length==0){
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| 101 | 105 |
$scope.result_query=null; |
| modules/dli-service-portal/trunk/static/angular/service_v10.js | ||
|---|---|---|
| 16 | 16 |
return $http.post('/api/post/', $.param({'action': "query", 'query': query, 'start': (page - 1) * 10, 'filter':filter, 'value':value}));
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| 17 | 17 |
} |
| 18 | 18 |
}; |
| 19 |
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| 20 |
factory.queryPid = function (pid) {
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| 21 |
$http.defaults.headers.post["Content-Type"] = "application/x-www-form-urlencoded; charset=UTF-8"; |
|
| 22 |
console.log("Make query for PID "+pid)
|
|
| 23 |
return $http.post('/api/queryPid/', $.param({ 'pid': pid}));
|
|
| 24 |
}; |
|
| 25 |
|
|
| 19 | 26 |
factory.getStatsDetail = function () {
|
| 20 | 27 |
//$http.defaults.headers.get["Content-Type"] = "application/x-www-form-urlencoded; charset=UTF-8"; |
| 21 | 28 |
return $http.get('currentStats.json');
|
| modules/dli-service-portal/trunk/static/angular/queryController.js | ||
|---|---|---|
| 124 | 124 |
}; |
| 125 | 125 |
|
| 126 | 126 |
|
| 127 |
$scope.arguments = $location.$$search; |
|
| 128 |
|
|
| 129 |
$scope.pidQuery = null; |
|
| 130 |
|
|
| 131 |
if ('pid' in $scope.arguments) {
|
|
| 132 |
$scope.pidQuery =$scope.arguments['pid'] |
|
| 133 |
} |
|
| 134 |
|
|
| 135 |
|
|
| 136 |
|
|
| 127 | 137 |
$scope.query = $routeParams['q']; |
| 138 |
$scope.searching = true; |
|
| 128 | 139 |
|
| 129 | 140 |
$scope.filterType = $routeParams['f']; |
| 130 | 141 |
$scope.filters = [] |
| ... | ... | |
| 188 | 199 |
return nArray; |
| 189 | 200 |
} |
| 190 | 201 |
|
| 191 |
queryService.query($scope.query, $scope.page, $scope.filter).success(function (data) {
|
|
| 192 | 202 |
|
| 193 |
$scope.result_query = data['result']['hits']; |
|
| 194 |
$scope.facet = data['result']['facet']; |
|
| 195 |
$scope.total = data['result']['total']; |
|
| 203 |
if ($scope.pidQuery == null) {
|
|
| 196 | 204 |
|
| 197 |
var totalPages = Math.round($scope.total / 10); |
|
| 205 |
queryService.query($scope.query, $scope.page, $scope.filter).success(function (data) {
|
|
| 206 |
$scope.searching = false; |
|
| 198 | 207 |
|
| 199 |
if ($scope.total > 10 && $scope.total % 10) |
|
| 200 |
totalPages += 1; |
|
| 208 |
$scope.result_query = data['result']['hits']; |
|
| 209 |
$scope.facet = data['result']['facet']; |
|
| 210 |
$scope.total = data['result']['total']; |
|
| 201 | 211 |
|
| 202 |
$scope.totalPages = totalPages ;
|
|
| 212 |
var totalPages = Math.round($scope.total / 10);
|
|
| 203 | 213 |
|
| 204 |
$scope.lastPage = Math.min($scope.pageto, totalPages - 1); |
|
| 214 |
if ($scope.total > 10 && $scope.total % 10) |
|
| 215 |
totalPages += 1; |
|
| 205 | 216 |
|
| 217 |
$scope.totalPages = totalPages ; |
|
| 206 | 218 |
|
| 207 |
if ($scope.page != null) |
|
| 208 |
$scope.pageto = Math.max(Math.min($scope.pageFrom + 4, $scope.lastPage), $scope.page); |
|
| 209 |
else {
|
|
| 210 |
$scope.page = 1; |
|
| 211 |
$scope.pageto = Math.max(Math.min($scope.pageFrom + 4, $scope.lastPage), 1); |
|
| 212 |
} |
|
| 213 |
$scope.pageRange = []; |
|
| 214 |
for (var i = $scope.pageFrom; i <= $scope.pageto; i++) {
|
|
| 215 |
$scope.pageRange.push(i) |
|
| 216 |
} |
|
| 217 |
}).error(function (data) {
|
|
| 219 |
$scope.lastPage = Math.min($scope.pageto, totalPages - 1); |
|
| 218 | 220 |
|
| 219 |
}) |
|
| 221 |
|
|
| 222 |
if ($scope.page != null) |
|
| 223 |
$scope.pageto = Math.max(Math.min($scope.pageFrom + 4, $scope.lastPage), $scope.page); |
|
| 224 |
else {
|
|
| 225 |
$scope.page = 1; |
|
| 226 |
$scope.pageto = Math.max(Math.min($scope.pageFrom + 4, $scope.lastPage), 1); |
|
| 227 |
} |
|
| 228 |
$scope.pageRange = []; |
|
| 229 |
for (var i = $scope.pageFrom; i <= $scope.pageto; i++) {
|
|
| 230 |
$scope.pageRange.push(i) |
|
| 231 |
} |
|
| 232 |
}).error(function (data) {
|
|
| 233 |
|
|
| 234 |
}) |
|
| 235 |
|
|
| 236 |
} |
|
| 237 |
|
|
| 238 |
else {
|
|
| 239 |
console.log("dovrei essere qui!")
|
|
| 240 |
queryService.queryPid($scope.pidQuery).success(function (data) {
|
|
| 241 |
$scope.searching = false; |
|
| 242 |
|
|
| 243 |
$scope.result_query = data['result']['hits']; |
|
| 244 |
$scope.facet = data['result']['facet']; |
|
| 245 |
$scope.total = data['result']['total']; |
|
| 246 |
|
|
| 247 |
var totalPages = Math.round($scope.total / 10); |
|
| 248 |
|
|
| 249 |
if ($scope.total > 10 && $scope.total % 10) |
|
| 250 |
totalPages += 1; |
|
| 251 |
|
|
| 252 |
$scope.totalPages = totalPages ; |
|
| 253 |
|
|
| 254 |
$scope.lastPage = Math.min($scope.pageto, totalPages - 1); |
|
| 255 |
|
|
| 256 |
|
|
| 257 |
if ($scope.page != null) |
|
| 258 |
$scope.pageto = Math.max(Math.min($scope.pageFrom + 4, $scope.lastPage), $scope.page); |
|
| 259 |
else {
|
|
| 260 |
$scope.page = 1; |
|
| 261 |
$scope.pageto = Math.max(Math.min($scope.pageFrom + 4, $scope.lastPage), 1); |
|
| 262 |
} |
|
| 263 |
$scope.pageRange = []; |
|
| 264 |
for (var i = $scope.pageFrom; i <= $scope.pageto; i++) {
|
|
| 265 |
$scope.pageRange.push(i) |
|
| 266 |
} |
|
| 267 |
}) |
|
| 268 |
} |
|
| 269 |
|
|
| 270 |
|
|
| 271 |
|
|
| 220 | 272 |
}]); |
| modules/dli-service-portal/trunk/static/currentStats.json | ||
|---|---|---|
| 1 | 1 |
{
|
| 2 |
"stats": [ |
|
| 3 |
{
|
|
| 4 |
"referredPublication": 18, |
|
| 5 |
"referredDataset": 18, |
|
| 6 |
"numberOfRelations": 36, |
|
| 7 |
"datasource": "", |
|
| 8 |
"numberOfDatasets": 18, |
|
| 9 |
"numberOfPublication": 15, |
|
| 10 |
"referredUnknown": 0, |
|
| 11 |
"numberOfUnknown": 0, |
|
| 12 |
"numberOfObjects": 33 |
|
| 13 |
}, |
|
| 14 |
{
|
|
| 15 |
"referredPublication": 14125, |
|
| 16 |
"referredDataset": 14642, |
|
| 17 |
"numberOfRelations": 29284, |
|
| 18 |
"datasource": "OpenAIRE", |
|
| 19 |
"numberOfDatasets": 4124, |
|
| 20 |
"numberOfPublication": 12939, |
|
| 21 |
"referredUnknown": 517, |
|
| 22 |
"numberOfUnknown": 472, |
|
| 23 |
"numberOfObjects": 17535 |
|
| 24 |
}, |
|
| 25 |
{
|
|
| 26 |
"referredPublication": 87713, |
|
| 27 |
"referredDataset": 87824, |
|
| 28 |
"numberOfRelations": 175648, |
|
| 29 |
"datasource": "RCSB", |
|
| 30 |
"numberOfDatasets": 88040, |
|
| 31 |
"numberOfPublication": 43667, |
|
| 32 |
"referredUnknown": 111, |
|
| 33 |
"numberOfUnknown": 79, |
|
| 34 |
"numberOfObjects": 131786 |
|
| 35 |
}, |
|
| 36 |
{
|
|
| 37 |
"referredPublication": 112847, |
|
| 38 |
"referredDataset": 525880, |
|
| 39 |
"numberOfRelations": 856181, |
|
| 40 |
"datasource": "Pangaea", |
|
| 41 |
"numberOfDatasets": 186248, |
|
| 42 |
"numberOfPublication": 14502, |
|
| 43 |
"referredUnknown": 217454, |
|
| 44 |
"numberOfUnknown": 37494, |
|
| 45 |
"numberOfObjects": 238244 |
|
| 46 |
}, |
|
| 47 |
{
|
|
| 48 |
"referredPublication": 886400, |
|
| 49 |
"referredDataset": 31408133, |
|
| 50 |
"numberOfRelations": 33762553, |
|
| 51 |
"datasource": "Datasets in Datacite", |
|
| 52 |
"numberOfDatasets": 1999034, |
|
| 53 |
"numberOfPublication": 350138, |
|
| 54 |
"referredUnknown": 1468020, |
|
| 55 |
"numberOfUnknown": 648922, |
|
| 56 |
"numberOfObjects": 2998094 |
|
| 57 |
}, |
|
| 58 |
{
|
|
| 59 |
"referredPublication": 634785, |
|
| 60 |
"referredDataset": 638885, |
|
| 61 |
"numberOfRelations": 1276152, |
|
| 62 |
"datasource": "Cambridge Crystallographic Data Centre", |
|
| 63 |
"numberOfDatasets": 629701, |
|
| 64 |
"numberOfPublication": 274969, |
|
| 65 |
"referredUnknown": 2482, |
|
| 66 |
"numberOfUnknown": 1331, |
|
| 67 |
"numberOfObjects": 906001 |
|
| 68 |
}, |
|
| 69 |
{
|
|
| 70 |
"referredPublication": 0, |
|
| 71 |
"referredDataset": 216, |
|
| 72 |
"numberOfRelations": 432, |
|
| 73 |
"datasource": "3TU.Datacentrum", |
|
| 74 |
"numberOfDatasets": 164, |
|
| 75 |
"numberOfPublication": 0, |
|
| 76 |
"referredUnknown": 216, |
|
| 77 |
"numberOfUnknown": 187, |
|
| 78 |
"numberOfObjects": 351 |
|
| 79 |
}, |
|
| 80 |
{
|
|
| 81 |
"referredPublication": 133402, |
|
| 82 |
"referredDataset": 133402, |
|
| 83 |
"numberOfRelations": 266804, |
|
| 84 |
"datasource": "ICPSR", |
|
| 85 |
"numberOfDatasets": 6721, |
|
| 86 |
"numberOfPublication": 63389, |
|
| 87 |
"referredUnknown": 0, |
|
| 88 |
"numberOfUnknown": 0, |
|
| 89 |
"numberOfObjects": 70110 |
|
| 90 |
}, |
|
| 91 |
{
|
|
| 92 |
"referredPublication": 603, |
|
| 93 |
"referredDataset": 794, |
|
| 94 |
"numberOfRelations": 1474, |
|
| 95 |
"datasource": "IEDA", |
|
| 96 |
"numberOfDatasets": 496, |
|
| 97 |
"numberOfPublication": 395, |
|
| 98 |
"referredUnknown": 77, |
|
| 99 |
"numberOfUnknown": 30, |
|
| 100 |
"numberOfObjects": 921 |
|
| 101 |
}, |
|
| 102 |
{
|
|
| 103 |
"referredPublication": 23714, |
|
| 104 |
"referredDataset": 24878, |
|
| 105 |
"numberOfRelations": 48592, |
|
| 106 |
"datasource": "Thomson Reuters", |
|
| 107 |
"numberOfDatasets": 24596, |
|
| 108 |
"numberOfPublication": 4271, |
|
| 109 |
"referredUnknown": 0, |
|
| 110 |
"numberOfUnknown": 0, |
|
| 111 |
"numberOfObjects": 28867 |
|
| 112 |
}, |
|
| 113 |
{
|
|
| 114 |
"referredPublication": 516408, |
|
| 115 |
"referredDataset": 516408, |
|
| 116 |
"numberOfRelations": 1032816, |
|
| 117 |
"datasource": "PubMed", |
|
| 118 |
"numberOfDatasets": 406308, |
|
| 119 |
"numberOfPublication": 102148, |
|
| 120 |
"referredUnknown": 0, |
|
| 121 |
"numberOfUnknown": 0, |
|
| 122 |
"numberOfObjects": 508456 |
|
| 123 |
}, |
|
| 124 |
{
|
|
| 125 |
"referredPublication": 28237, |
|
| 126 |
"referredDataset": 28255, |
|
| 127 |
"numberOfRelations": 56510, |
|
| 128 |
"datasource": "Springer Nature", |
|
| 129 |
"numberOfDatasets": 28201, |
|
| 130 |
"numberOfPublication": 7076, |
|
| 131 |
"referredUnknown": 18, |
|
| 132 |
"numberOfUnknown": 12, |
|
| 133 |
"numberOfObjects": 35289 |
|
| 134 |
}, |
|
| 135 |
{
|
|
| 136 |
"referredPublication": 69486, |
|
| 137 |
"referredDataset": 69486, |
|
| 138 |
"numberOfRelations": 138972, |
|
| 139 |
"datasource": "Elsevier", |
|
| 140 |
"numberOfDatasets": 65849, |
|
| 141 |
"numberOfPublication": 24158, |
|
| 142 |
"referredUnknown": 0, |
|
| 143 |
"numberOfUnknown": 0, |
|
| 144 |
"numberOfObjects": 90007 |
|
| 145 |
}, |
|
| 146 |
{
|
|
| 147 |
"referredPublication": 9775, |
|
| 148 |
"referredDataset": 9777, |
|
| 149 |
"numberOfRelations": 19552, |
|
| 150 |
"datasource": "Australian National Data Service", |
|
| 151 |
"numberOfDatasets": 9777, |
|
| 152 |
"numberOfPublication": 2634, |
|
| 153 |
"referredUnknown": 0, |
|
| 154 |
"numberOfUnknown": 0, |
|
| 155 |
"numberOfObjects": 12411 |
|
| 156 |
}, |
|
| 157 |
{
|
|
| 158 |
"referredPublication": 47, |
|
| 159 |
"referredDataset": 47, |
|
| 160 |
"numberOfRelations": 94, |
|
| 161 |
"datasource": "IEEE", |
|
| 162 |
"numberOfDatasets": 47, |
|
| 163 |
"numberOfPublication": 12, |
|
| 164 |
"referredUnknown": 0, |
|
| 165 |
"numberOfUnknown": 0, |
|
| 166 |
"numberOfObjects": 59 |
|
| 167 |
}, |
|
| 168 |
{
|
|
| 169 |
"referredPublication": 0, |
|
| 170 |
"referredDataset": 0, |
|
| 171 |
"numberOfRelations": 0, |
|
| 172 |
"datasource": "Crossref", |
|
| 173 |
"numberOfDatasets": 9687, |
|
| 174 |
"numberOfPublication": 383150, |
|
| 175 |
"referredUnknown": 0, |
|
| 176 |
"numberOfUnknown": 0, |
|
| 177 |
"numberOfObjects": 392837 |
|
| 178 |
} |
|
| 179 |
] |
|
| 2 |
"stats": [ |
|
| 3 |
{
|
|
| 4 |
"datasourceName": "OpenAIRE", |
|
| 5 |
"publication": 14139, |
|
| 6 |
"links": 29262, |
|
| 7 |
"unknown": 472, |
|
| 8 |
"dataset": 4124, |
|
| 9 |
"total": 18735 |
|
| 10 |
}, |
|
| 11 |
{
|
|
| 12 |
"datasourceName": "RCSB", |
|
| 13 |
"publication": 44859, |
|
| 14 |
"links": 175648, |
|
| 15 |
"unknown": 79, |
|
| 16 |
"dataset": 88687, |
|
| 17 |
"total": 133625 |
|
| 18 |
}, |
|
| 19 |
{
|
|
| 20 |
"datasourceName": "Pangaea", |
|
| 21 |
"publication": 14671, |
|
| 22 |
"links": 859076, |
|
| 23 |
"unknown": 37682, |
|
| 24 |
"dataset": 289395, |
|
| 25 |
"total": 341748 |
|
| 26 |
}, |
|
| 27 |
{
|
|
| 28 |
"datasourceName": "Datasets in Datacite", |
|
| 29 |
"publication": 381351, |
|
| 30 |
"links": 44121092, |
|
| 31 |
"unknown": 1017376, |
|
| 32 |
"dataset": 2646694, |
|
| 33 |
"total": 4045421 |
|
| 34 |
}, |
|
| 35 |
{
|
|
| 36 |
"datasourceName": "Cambridge Crystallographic Data Centre", |
|
| 37 |
"publication": 278005, |
|
| 38 |
"links": 1296158, |
|
| 39 |
"unknown": 2306, |
|
| 40 |
"dataset": 639698, |
|
| 41 |
"total": 920009 |
|
| 42 |
}, |
|
| 43 |
{
|
|
| 44 |
"datasourceName": "NCBI Nucleotide", |
|
| 45 |
"publication": 0, |
|
| 46 |
"links": 0, |
|
| 47 |
"unknown": 0, |
|
| 48 |
"dataset": 59200, |
|
| 49 |
"total": 59200 |
|
| 50 |
}, |
|
| 51 |
{
|
|
| 52 |
"datasourceName": "Thomson Reuters", |
|
| 53 |
"publication": 4271, |
|
| 54 |
"links": 48956, |
|
| 55 |
"unknown": 0, |
|
| 56 |
"dataset": 24596, |
|
| 57 |
"total": 28867 |
|
| 58 |
}, |
|
| 59 |
{
|
|
| 60 |
"datasourceName": "Australian National Data Service", |
|
| 61 |
"publication": 2634, |
|
| 62 |
"links": 18854, |
|
| 63 |
"unknown": 0, |
|
| 64 |
"dataset": 5293, |
|
| 65 |
"total": 7927 |
|
| 66 |
}, |
|
| 67 |
{
|
|
| 68 |
"datasourceName": "Mendeley Data", |
|
| 69 |
"publication": 15, |
|
| 70 |
"links": 36, |
|
| 71 |
"unknown": 0, |
|
| 72 |
"dataset": 18, |
|
| 73 |
"total": 33 |
|
| 74 |
}, |
|
| 75 |
{
|
|
| 76 |
"datasourceName": "IEDA", |
|
| 77 |
"publication": 395, |
|
| 78 |
"links": 1460, |
|
| 79 |
"unknown": 30, |
|
| 80 |
"dataset": 491, |
|
| 81 |
"total": 916 |
|
| 82 |
}, |
|
| 83 |
{
|
|
| 84 |
"datasourceName": "European Nucleotide Archive", |
|
| 85 |
"publication": 0, |
|
| 86 |
"links": 0, |
|
| 87 |
"unknown": 0, |
|
| 88 |
"dataset": 399737, |
|
| 89 |
"total": 399737 |
|
| 90 |
}, |
|
| 91 |
{
|
|
| 92 |
"datasourceName": "PubMed", |
|
| 93 |
"publication": 102148, |
|
| 94 |
"links": 1032816, |
|
| 95 |
"unknown": 0, |
|
| 96 |
"dataset": 406308, |
|
| 97 |
"total": 508456 |
|
| 98 |
}, |
|
| 99 |
{
|
|
| 100 |
"datasourceName": "3TU.Datacentrum", |
|
| 101 |
"publication": 0, |
|
| 102 |
"links": 432, |
|
| 103 |
"unknown": 187, |
|
| 104 |
"dataset": 164, |
|
| 105 |
"total": 351 |
|
| 106 |
}, |
|
| 107 |
{
|
|
| 108 |
"datasourceName": "Springer Nature", |
|
| 109 |
"publication": 7067, |
|
| 110 |
"links": 56510, |
|
| 111 |
"unknown": 12, |
|
| 112 |
"dataset": 28201, |
|
| 113 |
"total": 35280 |
|
| 114 |
}, |
|
| 115 |
{
|
|
| 116 |
"datasourceName": "Elsevier", |
|
| 117 |
"publication": 24352, |
|
| 118 |
"links": 138976, |
|
| 119 |
"unknown": 0, |
|
| 120 |
"dataset": 65849, |
|
| 121 |
"total": 90201 |
|
| 122 |
}, |
|
| 123 |
{
|
|
| 124 |
"datasourceName": "ICPSR", |
|
| 125 |
"publication": 64279, |
|
| 126 |
"links": 270314, |
|
| 127 |
"unknown": 0, |
|
| 128 |
"dataset": 6830, |
|
| 129 |
"total": 71109 |
|
| 130 |
}, |
|
| 131 |
{
|
|
| 132 |
"datasourceName": "IEEE", |
|
| 133 |
"publication": 12, |
|
| 134 |
"links": 94, |
|
| 135 |
"unknown": 0, |
|
| 136 |
"dataset": 47, |
|
| 137 |
"total": 59 |
|
| 138 |
}, |
|
| 139 |
{
|
|
| 140 |
"datasourceName": "Crossref", |
|
| 141 |
"publication": 458847, |
|
| 142 |
"links": 0, |
|
| 143 |
"unknown": 0, |
|
| 144 |
"dataset": 0, |
|
| 145 |
"total": 458847 |
|
| 146 |
} |
|
| 147 |
] |
|
| 180 | 148 |
} |
| modules/dli-service-portal/trunk/eu/dnetlib/es_connector.py | ||
|---|---|---|
| 1 | 1 |
from json import JSONEncoder |
| 2 | 2 |
|
| 3 | 3 |
import sys |
| 4 |
|
|
| 5 |
import re |
|
| 4 | 6 |
from elasticsearch import Elasticsearch |
| 5 | 7 |
from elasticsearch_dsl import * |
| 6 | 8 |
|
| 7 | 9 |
import os |
| 8 | 10 |
from os import path |
| 9 | 11 |
|
| 10 |
|
|
| 11 | 12 |
pid_resolver = {
|
| 12 | 13 |
"pdb": "http://www.rcsb.org/pdb/explore/explore.do?structureId=%s", |
| 13 | 14 |
"ncbi-n": "http://www.ncbi.nlm.nih.gov/gquery/?term=%s", |
| ... | ... | |
| 35 | 36 |
|
| 36 | 37 |
|
| 37 | 38 |
def resolveIdentifier(pid, pid_type): |
| 38 |
if pid_type!= None: |
|
| 39 |
if pid_type.lower() in pid_resolver: |
|
| 39 |
|
|
| 40 |
|
|
| 41 |
if pid_type != None: |
|
| 42 |
regex = r"\b(10[.][0-9]{4,}(?:[.][0-9]+)*/(?:(?![\"&\'<>])\S)+)\b"
|
|
| 43 |
if re.match(regex,pid): |
|
| 44 |
print "It should be doi" |
|
| 45 |
pid_type='doi' |
|
| 46 |
|
|
| 47 |
|
|
| 48 |
|
|
| 49 |
if pid_type.lower() in pid_resolver: |
|
| 40 | 50 |
return pid_resolver[pid_type.lower()] % pid |
| 41 | 51 |
else: |
| 42 | 52 |
if pid_type.lower() == 'openaire': |
| 43 |
return "https://www.openaire.eu/search/publication?articleId=%s"%pid.replace('oai:dnet:','')
|
|
| 53 |
return "https://www.openaire.eu/search/publication?articleId=%s" % pid.replace('oai:dnet:', '')
|
|
| 44 | 54 |
else: |
| 45 | 55 |
return "http://identifiers.org/%s:%s" % (pid_type, pid) |
| 46 | 56 |
return "" |
| 47 | 57 |
|
| 58 |
|
|
| 48 | 59 |
def get_property(): |
| 49 | 60 |
f = open(path.join(os.path.dirname(os.path.realpath(__file__)), '../../api.properties')) |
| 50 | 61 |
p = {}
|
| ... | ... | |
| 63 | 74 |
return Q('nested', path='localIdentifier', query=Q('bool', must=[Q('match', **args)]))
|
| 64 | 75 |
|
| 65 | 76 |
|
| 77 |
def create_pid_query(value): |
|
| 78 |
args = {'localIdentifier.id': value}
|
|
| 79 |
return Q('nested', path='localIdentifier', query=Q('bool', must=[Q('match', **args)]))
|
|
| 80 |
|
|
| 81 |
|
|
| 66 | 82 |
def create_publisher_filter(value): |
| 67 | 83 |
return Q('match', publisher=value)
|
| 68 | 84 |
|
| ... | ... | |
| 93 | 109 |
self.client = Elasticsearch(hosts=self.index_host) |
| 94 | 110 |
self.index_name = props['api.index'] |
| 95 | 111 |
|
| 112 |
def query_by_id(self, id): |
|
| 113 |
s = Search(using=self.client, index=self.index_name).doc_type('object')
|
|
| 114 |
s = s.query(create_pid_query(id)) |
|
| 115 |
s.aggs.bucket('typologies', 'terms', field='typology')
|
|
| 116 |
s.aggs.bucket('all_datasources', 'nested', path='datasources').bucket('all_names', 'terms',
|
|
| 117 |
field='datasources.datasourceName') |
|
| 118 |
s.aggs.bucket('all_publisher', 'terms', field='publisher')
|
|
| 119 |
s.aggs.bucket('all_pids', 'nested', path='localIdentifier').bucket('all_types', 'terms',
|
|
| 120 |
field='localIdentifier.type') |
|
| 121 |
response = s.execute() |
|
| 122 |
|
|
| 123 |
hits = [] |
|
| 124 |
|
|
| 125 |
for index_result in response.hits: |
|
| 126 |
input_source = index_result.__dict__['_d_'] |
|
| 127 |
fixed_titles = [] |
|
| 128 |
|
|
| 129 |
for ids in input_source.get('localIdentifier', []):
|
|
| 130 |
ds = resolveIdentifier(ids['id'], ids['type']) |
|
| 131 |
ids['url'] = ds |
|
| 132 |
for t in input_source.get('title', []):
|
|
| 133 |
if len(t) > 0 and t[0] == '"' and t[-1] == '"': |
|
| 134 |
fixed_titles.append(t[1:-1]) |
|
| 135 |
else: |
|
| 136 |
fixed_titles.append(t) |
|
| 137 |
input_source['title'] = fixed_titles |
|
| 138 |
hits.append(input_source) |
|
| 139 |
|
|
| 140 |
pid_types = [] |
|
| 141 |
for tag in response.aggs.all_pids.all_types.buckets: |
|
| 142 |
pid_types.append(dict(key=tag.key, count=tag.doc_count)) |
|
| 143 |
|
|
| 144 |
datasources = [] |
|
| 145 |
for tag in response.aggs.all_datasources.all_names.buckets: |
|
| 146 |
datasources.append(dict(key=tag.key, count=tag.doc_count)) |
|
| 147 |
|
|
| 148 |
typologies = [] |
|
| 149 |
for tag in response.aggs.typologies.buckets: |
|
| 150 |
typologies.append(dict(key=tag.key, count=tag.doc_count)) |
|
| 151 |
|
|
| 152 |
publishers = [] |
|
| 153 |
for tag in response.aggs.all_publisher.buckets: |
|
| 154 |
if len(tag.key) > 0: |
|
| 155 |
publishers.append(dict(key=tag.key, count=tag.doc_count)) |
|
| 156 |
|
|
| 157 |
return DLIESResponse(total=response.hits.total, |
|
| 158 |
facet=dict(pid=pid_types, typology=typologies, datasource=datasources, |
|
| 159 |
publishers=publishers), hits=hits) |
|
| 160 |
|
|
| 96 | 161 |
def simple_query(self, textual_query, start=None, end=None, user_filter=None): |
| 97 | 162 |
s = Search(using=self.client, index=self.index_name).doc_type('object')
|
| 98 | 163 |
q = Q('match', _all=textual_query)
|
| ... | ... | |
| 135 | 200 |
input_source = index_result.__dict__['_d_'] |
| 136 | 201 |
fixed_titles = [] |
| 137 | 202 |
|
| 138 |
for ids in input_source.get('localIdentifier',[]):
|
|
| 203 |
for ids in input_source.get('localIdentifier', []):
|
|
| 139 | 204 |
ds = resolveIdentifier(ids['id'], ids['type']) |
| 140 | 205 |
ids['url'] = ds |
| 141 |
for t in input_source.get('title',[]):
|
|
| 206 |
for t in input_source.get('title', []):
|
|
| 142 | 207 |
if len(t) > 0 and t[0] == '"' and t[-1] == '"': |
| 143 | 208 |
fixed_titles.append(t[1:-1]) |
| 144 | 209 |
else: |
| ... | ... | |
| 180 | 245 |
hits = [] |
| 181 | 246 |
|
| 182 | 247 |
for index_hit in response.hits: |
| 183 |
hits.append(index_hit.__dict__['_d_']) |
|
| 248 |
current_item = index_hit.__dict__['_d_'] |
|
| 249 |
if 'target' in current_item: |
|
| 250 |
ids = [] |
|
| 251 |
for item in current_item['target']['identifier']: |
|
| 252 |
c_it = item |
|
| 253 |
c_it['url'] = resolveIdentifier(item['identifier'], item['schema']) |
|
| 254 |
ids .append(c_it) |
|
| 255 |
current_item['target']['identifier'] = ids |
|
| 256 |
hits.append(current_item) |
|
| 184 | 257 |
|
| 185 | 258 |
return hits |
| 186 | 259 |
|
| ... | ... | |
| 202 | 275 |
input_source = res['_source'] |
| 203 | 276 |
fixed_titles = [] |
| 204 | 277 |
for t in input_source.get('title'):
|
| 205 |
if len(t) >0 and t[0]=='"' and t[-1]=='"':
|
|
| 278 |
if len(t) > 0 and t[0] == '"' and t[-1] == '"':
|
|
| 206 | 279 |
fixed_titles.append(t[1:-1]) |
| 207 | 280 |
else: |
| 208 | 281 |
fixed_titles.append(t) |
| 209 | 282 |
input_source['title'] = fixed_titles |
| 210 | 283 |
|
| 211 |
for ids in input_source.get('localIdentifier',[]):
|
|
| 284 |
for ids in input_source.get('localIdentifier', []):
|
|
| 212 | 285 |
ds = resolveIdentifier(ids['id'], ids['type']) |
| 213 | 286 |
ids['url'] = ds |
| 214 | 287 |
related_publications = [] |
| ... | ... | |
| 221 | 294 |
related_publications = self.related_type(id, 'publication', start) |
| 222 | 295 |
else: |
| 223 | 296 |
related_publications = self.related_type(id, 'publication') |
| 224 |
if len(related_publications) >0 :
|
|
| 297 |
if len(related_publications) > 0:
|
|
| 225 | 298 |
rel_source = related_publications[0] |
| 226 | 299 |
else: |
| 227 | 300 |
rel_source = {}
|
| ... | ... | |
| 248 | 321 |
except Exception as e: |
| 249 | 322 |
print "Error on getting item " |
| 250 | 323 |
print e |
| 251 |
print "on line %i"% sys.exc_traceback.tb_lineno |
|
| 324 |
print "on line %i" % sys.exc_traceback.tb_lineno
|
|
| 252 | 325 |
return DLIESResponse() |
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