From 7c12e4976337a063301be260cb3954bf4303f5e0 Mon Sep 17 00:00:00 2001
From: AndreaGuarracino
Date: Sat, 26 Sep 2020 12:12:17 +0200
Subject: script for processing the metadata of the ESR samples; moved
 delete_entries_on_arvados script in scripts directory

---
 scripts/esr_samples/esr_samples.py | 85 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 scripts/esr_samples/esr_samples.py

(limited to 'scripts/esr_samples/esr_samples.py')

diff --git a/scripts/esr_samples/esr_samples.py b/scripts/esr_samples/esr_samples.py
new file mode 100644
index 0000000..bd59612
--- /dev/null
+++ b/scripts/esr_samples/esr_samples.py
@@ -0,0 +1,85 @@
+import os
+import pandas as pd
+from string import Template
+from dateutil.parser import parse
+
+path_metadata_xlsx = 'Pathogen.cl.1.0.xlsx'
+
+path_template_yaml = 'template.yaml'
+# Removed from the template (for now)
+# license:
+#    license_type: "http://creativecommons.org/licenses/by/4.0/"
+#    title: "SARS-CoV-2 New Zealand"
+#    attribution_name: "ESR"
+#    attribution_url: "https://www.esr.cri.nz/"
+
+dir_dict_ontology_standardization = '../dict_ontology_standardization/'
+
+dir_output = 'yaml'
+suffix = '.consensus'
+
+if not os.path.exists(dir_output):
+    os.makedirs(dir_output)
+
+term_to_uri_dict = {}
+
+for path_dict_xxx_csv in [os.path.join(dir_dict_ontology_standardization, name_xxx_csv) for name_xxx_csv in
+                          os.listdir(dir_dict_ontology_standardization) if name_xxx_csv.endswith('.csv')]:
+    print('Read {}'.format(path_dict_xxx_csv))
+
+    with open(path_dict_xxx_csv) as f:
+        for line in f:
+            if len(line.split(',')) > 2:
+                term, uri = line.strip('\n').split('",')
+            else:
+                term, uri = line.strip('\n').split(',')
+
+            term = term.strip('"')
+
+            if term in term_to_uri_dict:
+                print('Warning: in the dictionaries there are more entries for the same term ({}).'.format(term))
+                continue
+
+            term_to_uri_dict[term] = uri
+
+metadata_df = pd.read_excel(path_metadata_xlsx, skiprows=12)
+
+# Maybe not the best pandas-way to do this
+for index, row in metadata_df.iterrows():
+    # print(row['*sample_name'])
+
+    geo_loc_name = row['*geo_loc_name'].replace(': ', ':')
+    country = ''
+    if not geo_loc_name in term_to_uri_dict:
+        if geo_loc_name in [
+            'New Zealand:Counties Manukau', 'New Zealand:Capital and Coast', 'New Zealand:Southern',
+            'New Zealand:Waikato',
+            'New Zealand:Lakes', 'New Zealand:Nelson Marlborough', 'New Zealand:South Canterbury',
+            'New Zealand:MidCentral',
+            'New Zealand:Tairawhiti', 'New Zealand:Hawkes Bay', 'New Zealand:NA', 'New Zealand:Taranaki'
+        ]:
+            geo_loc_name = 'New Zealand'
+        else:
+            print(geo_loc_name)
+            break
+
+    country = term_to_uri_dict[geo_loc_name]
+
+    d = {
+        'host_species': term_to_uri_dict[row['*host']],
+        'sample_id': row['*sample_name'],
+        'collection_date': parse(row['*collection_date']).strftime('%Y-%m-%d'),
+        'collection_location': country,
+        'specimen_source': term_to_uri_dict[row['*isolation_source']],
+        'virus_species': 'http://purl.obolibrary.org/obo/NCBITaxon_2697049',
+
+        'submitter_sample_id': row['bioproject_accession'],
+    }
+
+    with open(path_template_yaml) as f:
+        src = Template(f.read())
+
+        with open(os.path.join(dir_output, '{}{}.yaml'.format(row['*sample_name'], suffix)), 'w') as fw:
+            fw.write(src.substitute(d))
+
+print('{} YAML files created.'.format(len([x for x in os.listdir(dir_output) if x.endswith('.yaml')])))
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