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--- ivci:nuva-utils [2024/01/05 13:48] – created fkaag
+++ ivci:nuva-utils [2024/03/20 13:21] (current) – fkaag
@@ Line 30: / Line 30: @@
 </code>
 Assuming that the **nuva_refcode_YYY.csv** file has been copied to work file **nuva_code_YYY.csv**, then edited for enhancing the alignments, creates a Turtle work file **nuva_code_YYY.ttl** for further processing.
+Note that the refcode file contains the NUVA English labels of vaccines for convenience, but these are not required nor processed from the work code file.
 <code python>
@@ Line 42: / Line 44: @@
+<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:
+<code python>
+# Here the main program - Adapt the work directory to your environment
+os.chdir(str(Path.home())+"/Documents/NUVA")
+get_nuva(get_nuva_version())
+split_nuva()
+refturtle_to_map("CVX")
+shutil.copyfile("nuva_refcode_CVX.csv","nuva_code_CVX.csv")
+map_to_turtle("CVX")
+q = """
+   # All vaccines against smallpox
+    SELECT ?vcode ?vl WHERE {
+    ?dis rdfs:subClassOf nuva:Disease .
+    ?dis rdfs:label "Smallpox-Monkeypox"@en .
+    ?vac rdfs:subClassOf nuva:Vaccine .
+    ?vac rdfs:label ?vl .
+    ?vac skos:notation ?vcode .
+    ?vac nuvs:containsValence ?val .
+    ?val nuvs:prevents ?dis
+ }
+"""
+res = query_core(q)
+for row in res:
+     print (f"{row.vcode} - {row.vl}")
+res = eval_code("CVX")
+print ("Completeness {:.1%} ".format(res['Completeness']))
+print ("Precision {:.1%} ".format(res['Precision']))
+</code>