From 7cfd4c0b59e2a792ceb959eb0bd92fe3a7a1eac8 Mon Sep 17 00:00:00 2001
From: Alan Orth <alan.orth@gmail.com>
Date: Tue, 6 Oct 2020 17:11:39 +0300
Subject: [PATCH] csv_metadata_quality: Move scoped imports to global

According to PEP8 we should avoid scoped imports unless you have a
good reason. Here there are two cases where we do (issn and isbn),
but I will move the others to the global scope.
---
 csv_metadata_quality/check.py | 12 +++++-------
 csv_metadata_quality/fix.py   |  6 +++---
 2 files changed, 8 insertions(+), 10 deletions(-)

diff --git a/csv_metadata_quality/check.py b/csv_metadata_quality/check.py
index f54a516..4336dcd 100755
--- a/csv_metadata_quality/check.py
+++ b/csv_metadata_quality/check.py
@@ -1,4 +1,9 @@
+from datetime import datetime, timedelta
+
 import pandas as pd
+import requests
+import requests_cache
+from pycountry import languages
 
 
 def issn(field):
@@ -85,7 +90,6 @@ def date(field, field_name):
 
     Prints the date if invalid.
     """
-    from datetime import datetime
 
     if pd.isna(field):
         print(f"Missing date ({field_name}).")
@@ -170,8 +174,6 @@ def language(field):
     Prints the value if it is invalid.
     """
 
-    from pycountry import languages
-
     # Skip fields with missing values
     if pd.isna(field):
         return
@@ -213,10 +215,6 @@ def agrovoc(field, field_name):
     Prints a warning if the value is invalid.
     """
 
-    from datetime import timedelta
-    import requests
-    import requests_cache
-
     # Skip fields with missing values
     if pd.isna(field):
         return
diff --git a/csv_metadata_quality/fix.py b/csv_metadata_quality/fix.py
index 8d729b1..c2c232d 100755
--- a/csv_metadata_quality/fix.py
+++ b/csv_metadata_quality/fix.py
@@ -1,7 +1,10 @@
 import re
+from unicodedata import normalize
 
 import pandas as pd
 
+from csv_metadata_quality.util import is_nfc
+
 
 def whitespace(field, field_name):
     """Fix whitespace issues.
@@ -212,9 +215,6 @@ def normalize_unicode(field, field_name):
     Return normalized string.
     """
 
-    from csv_metadata_quality.util import is_nfc
-    from unicodedata import normalize
-
     # Skip fields with missing values
     if pd.isna(field):
         return