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Add notes for 2021-09-23

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Alan Orth 2021-09-23 18:19:11 +03:00
parent f16d6c79a7
commit 6fb37006b4
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24
content/posts/2021-09.md
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@ -211,4 +211,28 @@ localhost/dspace63= > \COPY (SELECT DISTINCT text_value as "cg.contributor.affil
COPY 8091
```
## 2021-09-23
- Peter sent me back the corrections for the affiliations
- It is about 1,280 corrections and fourteen deletions
- I cleaned them up in csv-metadata-quality and then extracted the deletes and fixes to separate files to run with `fix-metadata-values.py` and `delete-metadata-values.py`:
```console
$ csv-metadata-quality -i ~/Downloads/2021-09-20-affiliations.csv -o /tmp/affiliations.csv -x cg.contributor.affiliation
$ csvgrep -c 'correct' -m 'DELETE' /tmp/affiliations.csv > /tmp/affiliations-delete.csv
$ csvgrep -c 'correct' -r '^.+$' /tmp/affiliations.csv | csvgrep -i -c 'correct' -m 'DELETE' > /tmp/affiliations-fix.csv
$ ./ilri/fix-metadata-values.py -i /tmp/affiliations-fix.csv -db dspace -u dspace -p 'fuuu' -f cg.contributor.affiliation -t 'correct' -m 211
$ ./ilri/delete-metadata-values.py -i /tmp/affiliations-fix.csv -db dspace -u dspace -p 'fuuu' -f cg.contributor.affiliation -m 211
```
- Then I updated the controlled vocabulary for affiliations by exporting the top 1,000 used terms:
```console
localhost/dspace63= > \COPY (SELECT DISTINCT text_value as "cg.contributor.affiliation", count(*) FROM metadatavalue WHERE dspace_object_id IN (SELECT uuid FROM item) AND metadata_field_id = 211 GROUP BY text_value ORDER BY count DESC LIMIT 1000) to /tmp/2021-09-23-affiliations.csv WITH CSV HEADER;
$ csvcut -c 1 /tmp/2021-09-23-affiliations.csv | sed 1d > /tmp/affiliations.txt
```
- Peter also sent me 310 corrections and 234 deletions for donors so I applied those and updated the controlled vocabularies too
- Move some One CGIAR-related collections around the CGSpace hierarchy for Peter Ballantyne
<!-- vim: set sw=2 ts=2: -->

27
docs/2021-09/index.html
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@ -58,7 +58,7 @@ The syntax Moayad showed me last month doesn&rsquo;t seem to honor the search qu
"@type": "BlogPosting",
"headline": "September, 2021",
"url": "https://alanorth.github.io/cgspace-notes/2021-09/",
"wordCount": "1532",
"wordCount": "1729",
"datePublished": "2021-09-01T09:14:07+03:00",
"dateModified": "2021-09-20T17:31:45+03:00",
"author": {
@ -377,7 +377,30 @@ localhost/dspace63= &gt; \COPY (SELECT DISTINCT text_value as &quot;cg.contribut
COPY 1274
localhost/dspace63= &gt; \COPY (SELECT DISTINCT text_value as &quot;cg.contributor.affiliation&quot;, count(*) FROM metadatavalue WHERE dspace_object_id IN (SELECT uuid FROM item) AND metadata_field_id = 211 GROUP BY text_value ORDER BY count DESC) to /tmp/2021-09-20-affiliations.csv WITH CSV HEADER;
COPY 8091
</code></pre><!-- raw HTML omitted -->
</code></pre><h2 id="2021-09-23">2021-09-23</h2>
<ul>
<li>Peter sent me back the corrections for the affiliations
<ul>
<li>It is about 1,280 corrections and fourteen deletions</li>
<li>I cleaned them up in csv-metadata-quality and then extracted the deletes and fixes to separate files to run with <code>fix-metadata-values.py</code> and <code>delete-metadata-values.py</code>:</li>
</ul>
</li>
</ul>
<pre tabindex="0"><code class="language-console" data-lang="console">$ csv-metadata-quality -i ~/Downloads/2021-09-20-affiliations.csv -o /tmp/affiliations.csv -x cg.contributor.affiliation
$ csvgrep -c 'correct' -m 'DELETE' /tmp/affiliations.csv &gt; /tmp/affiliations-delete.csv
$ csvgrep -c 'correct' -r '^.+$' /tmp/affiliations.csv | csvgrep -i -c 'correct' -m 'DELETE' &gt; /tmp/affiliations-fix.csv
$ ./ilri/fix-metadata-values.py -i /tmp/affiliations-fix.csv -db dspace -u dspace -p 'fuuu' -f cg.contributor.affiliation -t 'correct' -m 211
$ ./ilri/delete-metadata-values.py -i /tmp/affiliations-fix.csv -db dspace -u dspace -p 'fuuu' -f cg.contributor.affiliation -m 211
</code></pre><ul>
<li>Then I updated the controlled vocabulary for affiliations by exporting the top 1,000 used terms:</li>
</ul>
<pre tabindex="0"><code class="language-console" data-lang="console">localhost/dspace63= &gt; \COPY (SELECT DISTINCT text_value as &quot;cg.contributor.affiliation&quot;, count(*) FROM metadatavalue WHERE dspace_object_id IN (SELECT uuid FROM item) AND metadata_field_id = 211 GROUP BY text_value ORDER BY count DESC LIMIT 1000) to /tmp/2021-09-23-affiliations.csv WITH CSV HEADER;
$ csvcut -c 1 /tmp/2021-09-23-affiliations.csv | sed 1d &gt; /tmp/affiliations.txt
</code></pre><ul>
<li>Peter also sent me 310 corrections and 234 deletions for donors so I applied those and updated the controlled vocabularies too</li>
<li>Move some One CGIAR-related collections around the CGSpace hierarchy for Peter Ballantyne</li>
</ul>
<!-- raw HTML omitted -->