Differences

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--- ivci:nuva-utils [2024/01/05 13:54] – fkaag
+++ ivci:nuva-utils [2024/03/20 13:21] (current) – fkaag
@@ Line 43: / Line 43: @@
 Runs a SPARQL query q against a graph formed by merging **nuva_core.ttl** and the work file **nuva_code_YYY.ttl**, thus allowing to run checks and measures on the alignment.
+<code>
+eval_code(code)
+</code>
+Produces the metrics for a code system, given a **nuva_code_YYY.csv** file for alignments.
+Subproducts are:
+  * **nuva_reverse_YYY.csv** : file with all NUVA codes matching a given external code
+  * **nuva_best_YYY.csv**: file with the best possible external code for a given NUVA code
 An example use sequence is included in the file:
@@ Line 55: / Line 64: @@
 map_to_turtle("CVX")
-q1 = """
+q = """
    # All vaccines against smallpox
     SELECT ?vcode ?vl WHERE {
@@ Line 67: / Line 76: @@
  }
 """
-res = query_core(q1)
+res = query_core(q)
 for row in res:
-    print (str(row[0])+"-"+str(row[1]))
+     print (f"{row.vcode} - {row.vl}")
+res = eval_code("CVX")
+print ("Completeness {:.1%} ".format(res['Completeness']))
+print ("Precision {:.1%} ".format(res['Precision']))
-q2="""
-    # List CVX Codes
-    SELECT ?cvx ?nuva ?lvac WHERE {
-    ?vac rdfs:subClassOf nuva:Vaccine .
-    ?vac skos:notation ?nuva .
-    ?vac skos:exactMatch ?code .
-    ?code rdfs:subClassOf nuva:CVX .
-    ?code skos:notation ?cvx .
-    ?vac rdfs:label $lvac
-    }
-"""
-res=query_code(q2,"CVX")
-for row in res:
-    print ("CVX "+str(row[0])+" = "+str(row[1])+" : "+str(row[2]))
 </code>