print("Finished downloading %s" % filename)
{% endcodeblock %}
-h2. Copy files from a collection a new collection
+h2. Copy files from a collection to a new collection
{% codeblock as python %}
import arvados.collection
-source_collection = "x1u39-4zz18-krzg64ufvehgitl"
-target_project = "x1u39-j7d0g-67q94einb8ptznm"
+source_collection = "zzzzz-4zz18-zzzzzzzzzzzzzzz"
+target_project = "zzzzz-j7d0g-zzzzzzzzzzzzzzz"
target_name = "Files copied from source_collection"
files_to_copy = ["folder1/sample1/sample1_R1.fastq",
"folder1/sample2/sample2_R1.fastq"]
print("Created collection %s" % target.manifest_locator())
{% endcodeblock %}
-h2. Copy files from a collection another collection
+h2. Copy files from a collection to another collection
{% codeblock as python %}
import arvados.collection
-source_collection = "x1u39-4zz18-krzg64ufvehgitl"
-target_collection = "x1u39-4zz18-67q94einb8ptznm"
+source_collection = "zzzzz-4zz18-zzzzzzzzzzzzzzz"
+target_collection = "zzzzz-4zz18-aaaaaaaaaaaaaaa"
files_to_copy = ["folder1/sample1/sample1_R1.fastq",
"folder1/sample2/sample2_R1.fastq"]
target.save()
{% endcodeblock %}
+h2. Delete a file from an existing collection
+
+{% codeblock as python %}
+import arvados
+
+c = arvados.collection.Collection("zzzzz-4zz18-zzzzzzzzzzzzzzz")
+c.remove("file2.txt")
+c.save()
+{% endcodeblock %}
+
h2. Listing records with paging
Use the @arvados.util.keyset_list_all@ helper method to iterate over all the records matching an optional filter. This method handles paging internally and returns results incrementally using a Python iterator. The first parameter of the method takes a @list@ method of an Arvados resource (@collections@, @container_requests@, etc).
for c in arvados.util.keyset_list_all(api.collections().list, filters=[["name", "like", "%sample123%"]]):
print("got collection " + c["uuid"])
{% endcodeblock %}
+
+h2. Querying the vocabulary definition
+
+The Python SDK provides facilities to interact with the "active metadata vocabulary":{{ site.baseurl }}/admin/metadata-vocabulary.html in the system. The developer can do key and value lookups in a case-insensitive manner:
+
+{% codeblock as python %}
+from arvados import api, vocabulary
+voc = vocabulary.load_vocabulary(api('v1'))
+
+[k.identifier for k in set(voc.key_aliases.values())]
+# Example output: ['IDTAGCOLORS', 'IDTAGFRUITS', 'IDTAGCOMMENT', 'IDTAGIMPORTANCES', 'IDTAGCATEGORIES', 'IDTAGSIZES', 'IDTAGANIMALS']
+voc['IDTAGSIZES'].preferred_label
+# Example output: 'Size'
+[v.preferred_label for v in set(voc['size'].value_aliases.values())]
+# Example output: ['S', 'M', 'L', 'XL', 'XS']
+voc['size']['s'].aliases
+# Example output: ['S', 'small']
+voc['size']['Small'].identifier
+# Example output: 'IDVALSIZES2'
+{% endcodeblock %}
+
+h2. Translating between vocabulary identifiers and labels
+
+Client software might need to present properties to the user in a human-readable form or take input from the user without requiring them to remember identifiers. For these cases, there're a couple of conversion methods that take a dictionary as input like this:
+
+{% codeblock as python %}
+from arvados import api, vocabulary
+voc = vocabulary.load_vocabulary(api('v1'))
+
+voc.convert_to_labels({'IDTAGIMPORTANCES': 'IDVALIMPORTANCES1'})
+# Example output: {'Importance': 'Critical'}
+voc.convert_to_identifiers({'creature': 'elephant'})
+# Example output: {'IDTAGANIMALS': 'IDVALANIMALS3'}
+{% endcodeblock %}
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