csv_metadata_quality/fix.py

@@ -444,20 +444,6 @@ def normalize_dois(field):
         if match:
             new_value = re.sub(pattern, "doi.org", new_value)
 
-        # Convert www.doi.org to doi.org
-        pattern = re.compile(r"www\.doi\.org")
-        match = re.findall(pattern, new_value)
-
-        if match:
-            new_value = re.sub(pattern, "doi.org", new_value)
-
-        # Convert erroneous %2f to /
-        pattern = re.compile("%2f")
-        match = re.findall(pattern, new_value)
-
-        if match:
-            new_value = re.sub(pattern, "/", new_value)
-
         # Replace values like doi: 10.11648/j.jps.20140201.14
         pattern = re.compile(r"^doi: 10\.")
         match = re.findall(pattern, new_value)

data/test.csv

@@ -40,4 +40,3 @@ Subregion field shouldn’t trigger region checks,2022-12-07,,,,,Kenya,,,,,,East
 DOI with HTTP and dx.doi.org,2024-04-23,,,,,,,,,,http://dx.doi.org/10.1016/j.envc.2023.100794,,
 DOI with colon,2024-04-23,,,,,,,,,,doi: 10.11648/j.jps.20140201.14,,
 Upper case bare DOI,2024-04-23,,,,,,,,,,10.19103/AS.2018.0043.16,,
-DOI with %2f,2024-06-25,,,,,,,,,,https://doi.org/10.1016%2fj.envc.2023.100794,,

pyproject.toml

@@ -8,14 +8,14 @@ authors = [
 license= { file = "LICENSE.txt" }
 dependencies = [
     "pandas[feather,performance]~=2.2",
-    "python-stdnum~=1.20",
+    "python-stdnum~=1.19",
-    "requests~=2.32",
+    "requests~=2.31",
-    "requests-cache~=1.2.1",
+    "requests-cache~=1.2",
     "colorama~=0.4",
-    "ftfy~=6.2.0",
+    "ftfy~=6.1",
     "country-converter~=1.2",
-    "pycountry~=24.6.1",
+    "pycountry~=23.12",
-    "py3langid~=0.3",
+    "py3langid~=0.2",
 ]
 readme = "README.md"
 requires-python = ">= 3.9"

requirements-dev.lock

@@ -70,7 +70,7 @@ leather==0.4.0
     # via agate
 libcst==1.4.0
     # via fixit
-llvmlite==0.43.0
+llvmlite==0.42.0
     # via numba
 markdown-it-py==3.0.0
     # via rich
@@ -80,11 +80,11 @@ mdurl==0.1.2
     # via markdown-it-py
 moreorless==0.4.0
     # via fixit
-numba==0.60.0
+numba==0.59.1
     # via pandas
 numexpr==2.10.0
     # via pandas
-numpy==2.0.0
+numpy==1.26.4
     # via bottleneck
     # via numba
     # via numexpr
@@ -122,11 +122,11 @@ ptyprocess==0.7.0
     # via pexpect
 pure-eval==0.2.2
     # via stack-data
-py3langid==0.3.0
+py3langid==0.2.2
     # via csv-metadata-quality
 pyarrow==16.1.0
     # via pandas
-pycountry==24.6.1
+pycountry==23.12.11
     # via csv-metadata-quality
 pygments==2.18.0
     # via ipython
@@ -149,7 +149,7 @@ pyyaml==6.0.1
 requests==2.32.2
     # via csv-metadata-quality
     # via requests-cache
-requests-cache==1.2.1
+requests-cache==1.2.0
     # via csv-metadata-quality
 rich==13.7.1
     # via pytest-clarity

requirements.lock

@@ -28,13 +28,13 @@ ftfy==6.2.0
     # via csv-metadata-quality
 idna==3.7
     # via requests
-llvmlite==0.43.0
+llvmlite==0.42.0
     # via numba
-numba==0.60.0
+numba==0.59.1
     # via pandas
 numexpr==2.10.0
     # via pandas
-numpy==2.0.0
+numpy==1.26.4
     # via bottleneck
     # via numba
     # via numexpr
@@ -46,11 +46,11 @@ pandas==2.2.2
     # via csv-metadata-quality
 platformdirs==4.2.2
     # via requests-cache
-py3langid==0.3.0
+py3langid==0.2.2
     # via csv-metadata-quality
 pyarrow==16.1.0
     # via pandas
-pycountry==24.6.1
+pycountry==23.12.11
     # via csv-metadata-quality
 python-dateutil==2.9.0.post0
     # via pandas
@@ -61,7 +61,7 @@ pytz==2024.1
 requests==2.32.2
     # via csv-metadata-quality
     # via requests-cache
-requests-cache==1.2.1
+requests-cache==1.2.0
     # via csv-metadata-quality
 six==1.16.0
     # via python-dateutil