Version 0.4.7

I think this is only used by pypi.org?

.drone.yml

@@ -9,10 +9,11 @@ steps:
   commands:
   - id
   - python -V
+  - apt update && apt install -y gcc g++ libicu-dev pkg-config
   - pip install -r requirements-dev.txt
   - pytest
   - python setup.py install
-  - csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e -u --agrovoc-fields dc.subject,cg.coverage.country
+  - csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e -u --agrovoc-fields dcterms.subject,cg.coverage.country
 
 ---
 kind: pipeline
@@ -25,10 +26,11 @@ steps:
   commands:
   - id
   - python -V
+  - apt update && apt install -y gcc g++ libicu-dev pkg-config
   - pip install -r requirements-dev.txt
   - pytest
   - python setup.py install
-  - csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e -u --agrovoc-fields dc.subject,cg.coverage.country
+  - csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e -u --agrovoc-fields dcterms.subject,cg.coverage.country
 
 ---
 kind: pipeline
@@ -41,9 +43,10 @@ steps:
   commands:
   - id
   - python -V
+  - apt update && apt install -y gcc g++ libicu-dev pkg-config
   - pip install -r requirements-dev.txt
   - pytest
   - python setup.py install
-  - csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e -u --agrovoc-fields dc.subject,cg.coverage.country
+  - csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e -u --agrovoc-fields dcterms.subject,cg.coverage.country
 
 # vim: ts=2 sw=2 et

.github/workflows/python-app.yml

@@ -16,10 +16,10 @@ jobs:
 
     steps:
     - uses: actions/checkout@v2
-    - name: Set up Python 3.8
+    - name: Set up Python 3.9
       uses: actions/setup-python@v2
       with:
-        python-version: 3.8
+        python-version: 3.9
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
@@ -38,4 +38,4 @@ jobs:
     - name: Test CLI
       run: |
         python setup.py install
-        csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e -u --agrovoc-fields dc.subject,cg.coverage.country
+        csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e -u --agrovoc-fields dcterms.subject,cg.coverage.country

CHANGELOG.md

@@ -4,10 +4,54 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## Unreleased
+## [0.4.7] - 2021-03-17
+### Changed
+- Fixing invalid multi-value separators like `|` and `|||` is no longer class-
+ified as "unsafe" as I have yet to see a case where this was intentional
+- Not user visible, but now checks only print a warning to the screen instead
+of returning a value and re-writing the DataFrame, which should be faster and
+use less memory
+
+### Added
+- Configurable directory for AGROVOC requests cache (to allow running the web
+version from Google App Engine where we can only write to /tmp)
+- Ability to check for duplicate items in the data set (uses a combination of
+the title, type, and date issued to determine uniqueness)
+
+### Removed
+- Checks for invalid and unnecessary multi-value separators because now I fix
+them whenever I see them, so there is no need to have checks for them
+
+### Updated
+- Run `poetry update` to update project dependencies
+
+## [0.4.6] - 2021-03-11
+### Added
+- Validation of dcterms.license field against SPDX license identifiers 
+
+### Changed
+- Use DCTERMS fields where possible in `data/test.csv`
+
+### Updated
+- Run `poetry update` to update project dependencies
+
+### Fixed
+- Output for all fixes should be green, because it is good
+
+## [0.4.5] - 2021-03-04
+### Added
+- Check dates in dcterms.issued field as well, not just fields that have the
+word "date" in them
+
+### Updated
+- Run `poetry update` to update project dependencies
+
+## [0.4.4] - 2021-02-21
 ### Added
 - Accept dates formatted in ISO 8601 extended with combined date and time, for
 example: 2020-08-31T11:04:56Z
+- Colorized output: red for errors, yellow for warnings and information, green
+for changes
 
 ### Updated
 - Run `poetry update` to update project dependencies

README.md

@@ -1,7 +1,7 @@
 # DSpace CSV Metadata Quality Checker ![GitHub Actions](https://github.com/ilri/csv-metadata-quality/workflows/Build%20and%20Test/badge.svg) [![Build Status](https://ci.mjanja.ch/api/badges/alanorth/csv-metadata-quality/status.svg)](https://ci.mjanja.ch/alanorth/csv-metadata-quality)
 A simple, but opinionated metadata quality checker and fixer designed to work with CSVs in the DSpace ecosystem (though it could theoretically work on any CSV that uses Dublin Core fields as columns). The implementation is essentially a pipeline of checks and fixes that begins with splitting multi-value fields on the standard DSpace "||" separator, trimming leading/trailing whitespace, and then proceeding to more specialized cases like ISSNs, ISBNs, languages, unnecessary Unicode, AGROVOC terms, etc.
 
-Requires Python 3.7 or greater (3.8 recommended). CSV and Excel support comes from the [Pandas](https://pandas.pydata.org/) library, though your mileage may vary with Excel because this is much less tested.
+Requires Python 3.7.1 or greater (3.8+ recommended). CSV and Excel support comes from the [Pandas](https://pandas.pydata.org/) library, though your mileage may vary with Excel because this is much less tested.
 
 If you use the DSpace CSV metadata quality checker please cite:
 
@@ -13,13 +13,14 @@ If you use the DSpace CSV metadata quality checker please cite:
 - Validate languages against ISO 639-1 (alpha2) and ISO 639-3 (alpha3)
 - Experimental validation of titles and abstracts against item's Dublin Core language field
 - Validate subjects against the AGROVOC REST API (see the `--agrovoc-fields` option)
+- Validation of licenses against the list of [SPDX license identifiers](https://spdx.org/licenses)
 - Fix leading, trailing, and excessive (ie, more than one) whitespace
-- Fix invalid and unnecessary multi-value separators (`|`) using `--unsafe-fixes`
+- Fix invalid and unnecessary multi-value separators (`|`)
 - Fix problematic newlines (line feeds) using `--unsafe-fixes`
+- Perform [Unicode normalization](https://withblue.ink/2019/03/11/why-you-need-to-normalize-unicode-strings.html) on strings using `--unsafe-fixes`
 - Remove unnecessary Unicode like [non-breaking spaces](https://en.wikipedia.org/wiki/Non-breaking_space), [replacement characters](https://en.wikipedia.org/wiki/Specials_(Unicode_block)#Replacement_character), etc
 - Check for "suspicious" characters that indicate encoding or copy/paste issues, for example "foreˆt" should be "forêt"
 - Remove duplicate metadata values
-- Perform [Unicode normalization](https://withblue.ink/2019/03/11/why-you-need-to-normalize-unicode-strings.html) on strings using `--unsafe-fixes`
 
 ## Installation
 The easiest way to install CSV Metadata Quality is with [poetry](https://python-poetry.org):
@@ -54,14 +55,14 @@ To validate and clean a CSV file you must specify input and output files using t
 $ csv-metadata-quality -i data/test.csv -o /tmp/test.csv
 ```
 
-## Unsafe Fixes
-You can enable several "unsafe" fixes with the `--unsafe-fixes` option. Currently this will attempt to fix invalid multi-value separators and remove newlines.
-
-### Invalid Multi-Value Separators
-This is considered "unsafe" because it is *theoretically* possible for a single `|` character to be used legitimately in a metadata value, though in my experience it is always a typo. For example, if a user mistakenly writes `Kenya|Tanzania` when attempting to indicate two countries, the result will be one metadata value with the literal text `Kenya|Tanzania`. The `--unsafe-fixes` option will correct the invalid multi-value separator so that there are two metadata values, ie `Kenya||Tanzania`.
+## Invalid Multi-Value Separators
+While it is *theoretically* possible for a single `|` character to be used legitimately in a metadata value, in my experience it is always a typo. For example, if a user mistakenly writes `Kenya|Tanzania` when attempting to indicate two countries, the result will be one metadata value with the literal text `Kenya|Tanzania`. This utility will correct the invalid multi-value separator so that there are two metadata values, ie `Kenya||Tanzania`.
 
 This will also remove unnecessary trailing multi-value separators, for example `Kenya||Tanzania||`.
 
+## Unsafe Fixes
+You can enable several "unsafe" fixes with the `--unsafe-fixes` option. Currently this will remove newlines and perform Unicode normalization.
+
 ### Newlines
 This is considered "unsafe" because some systems give special importance to vertical space and render it properly. DSpace does not support rendering newlines in its XMLUI and has, at times, suffered from parsing errors that cause the import process to fail if an input file had newlines. The `--unsafe-fixes` option strips Unix line feeds (U+000A).
 
@@ -103,14 +104,22 @@ This currently uses the [Python langid](https://github.com/saffsd/langid.py) lib
 - Better logging, for example with INFO, WARN, and ERR levels
 - Verbose, debug, or quiet options
 - Warn if an author is shorter than 3 characters?
-- Validate dc.rights field against SPDX? Perhaps with an option like `-m spdx` to enable the spdx module?
 - Validate DOIs? Normalize to https://doi.org format? Or use just the DOI part: 10.1016/j.worlddev.2010.06.006
 - Warn if two items use the same file in `filename` column
 - Add an option to drop invalid AGROVOC subjects?
 - Add tests for application invocation, ie `tests/test_app.py`?
 - Validate ISSNs or journal titles against CrossRef API?
-- Better ISO 8601 date parsing (currently only supports simple dates, perhaps we need to use dateutil.parser.parseiso())
-- Fix lazy date check (assumes field name has "date" but could be dcterms.issued etc!)
+- Add configurable field validation, like specify a field name and a validation file?
+  - Perhaps like --validate=field.name,filename
+- Add some row-based item sanity checks and fixes:
+  - Warn if item is Open Access, but missing a filename or URL
+  - Warn if item is Open Access, but missing a license
+  - Warn if item has an ISSN but no journal title
+  - Update journal titles from ISSN
+- Check for duplicates
+  - If I check titles only, then I might miss if one is a Report and another is a Presentation
+  - I could just check each item against each other item, but that sounds slow...
+  - Perhaps I could check for the number of unique values in a few rows, like title and doi, and see if it is the same as the total number of items
 
 ## License
 This work is licensed under the [GPLv3](https://www.gnu.org/licenses/gpl-3.0.en.html).

csv_metadata_quality/app.py

@@ -4,6 +4,7 @@ import signal
 import sys
 
 import pandas as pd
+from colorama import Fore
 
 import csv_metadata_quality.check as check
 import csv_metadata_quality.experimental as experimental
@@ -16,7 +17,7 @@ def parse_args(argv):
     parser.add_argument(
         "--agrovoc-fields",
         "-a",
-        help="Comma-separated list of fields to validate against AGROVOC, for example: dc.subject,cg.coverage.country",
+        help="Comma-separated list of fields to validate against AGROVOC, for example: dcterms.subject,cg.coverage.country",
     )
     parser.add_argument(
         "--experimental-checks",
@@ -47,7 +48,7 @@ def parse_args(argv):
     parser.add_argument(
         "--exclude-fields",
         "-x",
-        help="Comma-separated list of fields to skip, for example: dc.contributor.author,dc.identifier.citation",
+        help="Comma-separated list of fields to skip, for example: dc.contributor.author,dcterms.bibliographicCitation",
     )
     args = parser.parse_args()
 
@@ -77,7 +78,7 @@ def run(argv):
                 if column == exclude and skip is False:
                     skip = True
             if skip:
-                print(f"Skipping {column}")
+                print(f"{Fore.YELLOW}Skipping {Fore.RESET}{column}")
 
                 continue
 
@@ -103,17 +104,13 @@ def run(argv):
         # Fix: unnecessary Unicode
         df[column] = df[column].apply(fix.unnecessary_unicode)
 
-        # Check: invalid and unnecessary multi-value separators
-        df[column] = df[column].apply(check.separators, field_name=column)
-
         # Check: suspicious characters
-        df[column] = df[column].apply(check.suspicious_characters, field_name=column)
+        df[column].apply(check.suspicious_characters, field_name=column)
 
         # Fix: invalid and unnecessary multi-value separators
-        if args.unsafe_fixes:
-            df[column] = df[column].apply(fix.separators, field_name=column)
-            # Run whitespace fix again after fixing invalid separators
-            df[column] = df[column].apply(fix.whitespace, field_name=column)
+        df[column] = df[column].apply(fix.separators, field_name=column)
+        # Run whitespace fix again after fixing invalid separators
+        df[column] = df[column].apply(fix.whitespace, field_name=column)
 
         # Fix: duplicate metadata values
         df[column] = df[column].apply(fix.duplicates, field_name=column)
@@ -123,31 +120,48 @@ def run(argv):
             # Identify fields the user wants to validate against AGROVOC
             for field in args.agrovoc_fields.split(","):
                 if column == field:
-                    df[column] = df[column].apply(check.agrovoc, field_name=column)
+                    df[column].apply(check.agrovoc, field_name=column)
 
         # Check: invalid language
         match = re.match(r"^.*?language.*$", column)
         if match is not None:
-            df[column] = df[column].apply(check.language)
+            df[column].apply(check.language)
 
         # Check: invalid ISSN
         match = re.match(r"^.*?issn.*$", column)
         if match is not None:
-            df[column] = df[column].apply(check.issn)
+            df[column].apply(check.issn)
 
         # Check: invalid ISBN
         match = re.match(r"^.*?isbn.*$", column)
         if match is not None:
-            df[column] = df[column].apply(check.isbn)
+            df[column].apply(check.isbn)
 
         # Check: invalid date
-        match = re.match(r"^.*?date.*$", column)
+        match = re.match(r"^.*?(date|dcterms\.issued).*$", column)
         if match is not None:
-            df[column] = df[column].apply(check.date, field_name=column)
+            df[column].apply(check.date, field_name=column)
 
         # Check: filename extension
         if column == "filename":
-            df[column] = df[column].apply(check.filename_extension)
+            df[column].apply(check.filename_extension)
+
+        # Check: SPDX license identifier
+        match = re.match(r"dcterms\.license.*$", column)
+        if match is not None:
+            df[column].apply(check.spdx_license_identifier)
+
+    ### End individual column checks ###
+
+    # Check: duplicate items
+    # We extract just the title, type, and date issued columns to analyze
+    duplicates_df = df.filter(
+        regex=r"dcterms\.title|dc\.title|dcterms\.type|dc\.type|dcterms\.issued|dc\.date\.issued"
+    )
+    check.duplicate_items(duplicates_df)
+
+    # Delete the temporary duplicates DataFrame
+    del duplicates_df
 
     ##
     # Perform some checks on rows so we can consider items as a whole rather

csv_metadata_quality/check.py

@@ -1,9 +1,15 @@
+import os
+import re
 from datetime import datetime, timedelta
 
 import pandas as pd
 import requests
 import requests_cache
+import spdx_license_list
+from colorama import Fore
 from pycountry import languages
+from stdnum import isbn as stdnum_isbn
+from stdnum import issn as stdnum_issn
 
 
 def issn(field):
@@ -16,8 +22,6 @@ def issn(field):
     See: https://arthurdejong.org/python-stdnum/doc/1.11/index.html#stdnum.module.is_valid
     """
 
-    from stdnum import issn
-
     # Skip fields with missing values
     if pd.isna(field):
         return
@@ -25,10 +29,10 @@ def issn(field):
     # Try to split multi-value field on "||" separator
     for value in field.split("||"):
 
-        if not issn.is_valid(value):
-            print(f"Invalid ISSN: {value}")
+        if not stdnum_issn.is_valid(value):
+            print(f"{Fore.RED}Invalid ISSN: {Fore.RESET}{value}")
 
-    return field
+    return
 
 
 def isbn(field):
@@ -41,8 +45,6 @@ def isbn(field):
     See: https://arthurdejong.org/python-stdnum/doc/1.11/index.html#stdnum.module.is_valid
     """
 
-    from stdnum import isbn
-
     # Skip fields with missing values
     if pd.isna(field):
         return
@@ -50,44 +52,10 @@ def isbn(field):
     # Try to split multi-value field on "||" separator
     for value in field.split("||"):
 
-        if not isbn.is_valid(value):
-            print(f"Invalid ISBN: {value}")
+        if not stdnum_isbn.is_valid(value):
+            print(f"{Fore.RED}Invalid ISBN: {Fore.RESET}{value}")
 
-    return field
-
-
-def separators(field, field_name):
-    """Check for invalid and unnecessary multi-value separators, for example:
-
-        value|value
-        value|||value
-        value||value||
-
-    Prints the field with the invalid multi-value separator.
-    """
-
-    import re
-
-    # Skip fields with missing values
-    if pd.isna(field):
-        return
-
-    # Try to split multi-value field on "||" separator
-    for value in field.split("||"):
-        # Check if the current value is blank
-        if value == "":
-            print(f"Unnecessary multi-value separator ({field_name}): {field}")
-
-            continue
-
-        # After splitting, see if there are any remaining "|" characters
-        match = re.findall(r"^.*?\|.*$", value)
-
-        # Check if there was a match
-        if match:
-            print(f"Invalid multi-value separator ({field_name}): {field}")
-
-    return field
+    return
 
 
 def date(field, field_name):
@@ -102,7 +70,7 @@ def date(field, field_name):
     """
 
     if pd.isna(field):
-        print(f"Missing date ({field_name}).")
+        print(f"{Fore.RED}Missing date ({field_name}).{Fore.RESET}")
 
         return
 
@@ -111,15 +79,17 @@ def date(field, field_name):
 
     # We don't allow multi-value date fields
     if len(multiple_dates) > 1:
-        print(f"Multiple dates not allowed ({field_name}): {field}")
+        print(
+            f"{Fore.RED}Multiple dates not allowed ({field_name}): {Fore.RESET}{field}"
+        )
 
-        return field
+        return
 
     try:
         # Check if date is valid YYYY format
         datetime.strptime(field, "%Y")
 
-        return field
+        return
     except ValueError:
         pass
 
@@ -127,7 +97,7 @@ def date(field, field_name):
         # Check if date is valid YYYY-MM format
         datetime.strptime(field, "%Y-%m")
 
-        return field
+        return
     except ValueError:
         pass
 
@@ -135,7 +105,7 @@ def date(field, field_name):
         # Check if date is valid YYYY-MM-DD format
         datetime.strptime(field, "%Y-%m-%d")
 
-        return field
+        return
     except ValueError:
         pass
 
@@ -143,11 +113,11 @@ def date(field, field_name):
         # Check if date is valid YYYY-MM-DDTHH:MM:SSZ format
         datetime.strptime(field, "%Y-%m-%dT%H:%M:%SZ")
 
-        return field
+        return
     except ValueError:
-        print(f"Invalid date ({field_name}): {field}")
+        print(f"{Fore.RED}Invalid date ({field_name}): {Fore.RESET}{field}")
 
-        return field
+        return
 
 
 def suspicious_characters(field, field_name):
@@ -178,12 +148,10 @@ def suspicious_characters(field, field_name):
             # character and spanning enough of the rest to give a preview,
             # but not too much to cause the line to break in terminals with
             # a default of 80 characters width.
-            suspicious_character_msg = (
-                f"Suspicious character ({field_name}): {field_subset}"
-            )
+            suspicious_character_msg = f"{Fore.YELLOW}Suspicious character ({field_name}): {Fore.RESET}{field_subset}"
             print(f"{suspicious_character_msg:1.80}")
 
-    return field
+    return
 
 
 def language(field):
@@ -205,18 +173,18 @@ def language(field):
         # can check it against ISO 639-1 or ISO 639-3 accordingly.
         if len(value) == 2:
             if not languages.get(alpha_2=value):
-                print(f"Invalid ISO 639-1 language: {value}")
+                print(f"{Fore.RED}Invalid ISO 639-1 language: {Fore.RESET}{value}")
 
                 pass
         elif len(value) == 3:
             if not languages.get(alpha_3=value):
-                print(f"Invalid ISO 639-3 language: {value}")
+                print(f"{Fore.RED}Invalid ISO 639-3 language: {Fore.RESET}{value}")
 
                 pass
         else:
-            print(f"Invalid language: {value}")
+            print(f"{Fore.RED}Invalid language: {Fore.RESET}{value}")
 
-    return field
+    return
 
 
 def agrovoc(field, field_name):
@@ -239,7 +207,13 @@ def agrovoc(field, field_name):
 
     # enable transparent request cache with thirty days expiry
     expire_after = timedelta(days=30)
-    requests_cache.install_cache("agrovoc-response-cache", expire_after=expire_after)
+    # Allow overriding the location of the requests cache, just in case we are
+    # running in an environment where we can't write to the current working di-
+    # rectory (for example from csv-metadata-quality-web).
+    REQUESTS_CACHE_DIR = os.environ.get("REQUESTS_CACHE_DIR", ".")
+    requests_cache.install_cache(
+        f"{REQUESTS_CACHE_DIR}/agrovoc-response-cache", expire_after=expire_after
+    )
 
     # prune old cache entries
     requests_cache.core.remove_expired_responses()
@@ -256,9 +230,9 @@ def agrovoc(field, field_name):
 
             # check if there are any results
             if len(data["results"]) == 0:
-                print(f"Invalid AGROVOC ({field_name}): {value}")
+                print(f"{Fore.RED}Invalid AGROVOC ({field_name}): {Fore.RESET}{value}")
 
-    return field
+    return
 
 
 def filename_extension(field):
@@ -272,8 +246,6 @@ def filename_extension(field):
     than .pdf, .xls(x), .doc(x), ppt(x), case insensitive).
     """
 
-    import re
-
     # Skip fields with missing values
     if pd.isna(field):
         return
@@ -309,6 +281,67 @@ def filename_extension(field):
                 break
 
         if filename_extension_match is False:
-            print(f"Filename with uncommon extension: {value}")
+            print(f"{Fore.YELLOW}Filename with uncommon extension: {Fore.RESET}{value}")
 
-    return field
+    return
+
+
+def spdx_license_identifier(field):
+    """Check if a license is a valid SPDX identifier.
+
+    Prints the value if it is invalid.
+    """
+
+    # Skip fields with missing values
+    if pd.isna(field):
+        return
+
+    # Try to split multi-value field on "||" separator
+    for value in field.split("||"):
+        if value not in spdx_license_list.LICENSES:
+            print(f"{Fore.YELLOW}Non-SPDX license identifier: {Fore.RESET}{value}")
+
+            pass
+
+    return
+
+
+def duplicate_items(df):
+    """Attempt to identify duplicate items.
+
+    First we check the total number of titles and compare it with the number of
+    unique titles. If there are less unique titles than total titles we expand
+    the search by creating a key (of sorts) for each item that includes their
+    title, type, and date issued, and compare it with all the others. If there
+    are multiple occurrences of the same title, type, date string then it's a
+    very good indicator that the items are duplicates.
+    """
+
+    # Extract the names of the title, type, and date issued columns so we can
+    # reference them later. First we filter columns by likely patterns, then
+    # we extract the name from the first item of the resulting object, ie:
+    #
+    #   Index(['dcterms.title[en_US]'], dtype='object')
+    #
+    title_column_name = df.filter(regex=r"dcterms\.title|dc\.title").columns[0]
+    type_column_name = df.filter(regex=r"dcterms\.title|dc\.title").columns[0]
+    date_column_name = df.filter(
+        regex=r"dcterms\.issued|dc\.date\.accessioned"
+    ).columns[0]
+
+    items_count_total = df[title_column_name].count()
+    items_count_unique = df[title_column_name].nunique()
+
+    if items_count_unique < items_count_total:
+        # Create a list to hold our items while we check for duplicates
+        items = list()
+
+        for index, row in df.iterrows():
+            item_title_type_date = f"{row[title_column_name]}{row[type_column_name]}{row[date_column_name]}"
+
+            if item_title_type_date in items:
+                print(
+                    f"{Fore.YELLOW}Possible duplicate ({title_column_name}): {Fore.RESET}{row[title_column_name]}"
+                )
+            else:
+                items.append(item_title_type_date)

csv_metadata_quality/experimental.py

@@ -1,4 +1,9 @@
+import re
+
+import langid
 import pandas as pd
+from colorama import Fore
+from pycountry import languages
 
 
 def correct_language(row):
@@ -10,10 +15,6 @@ def correct_language(row):
     language and returns the value in the language field if it does match.
     """
 
-    from pycountry import languages
-    import langid
-    import re
-
     # Initialize some variables at global scope so that we can set them in the
     # loop scope below and still be able to access them afterwards.
     language = ""
@@ -83,13 +84,13 @@ def correct_language(row):
     detected_language = languages.get(alpha_2=langid_classification[0])
     if len(language) == 2 and language != detected_language.alpha_2:
         print(
-            f"Possibly incorrect language {language} (detected {detected_language.alpha_2}): {title}"
+            f"{Fore.YELLOW}Possibly incorrect language {language} (detected {detected_language.alpha_2}): {Fore.RESET}{title}"
         )
 
     elif len(language) == 3 and language != detected_language.alpha_3:
         print(
-            f"Possibly incorrect language {language} (detected {detected_language.alpha_3}): {title}"
+            f"{Fore.YELLOW}Possibly incorrect language {language} (detected {detected_language.alpha_3}): {Fore.RESET}{title}"
         )
 
     else:
-        return language
+        return

csv_metadata_quality/fix.py

@@ -2,6 +2,7 @@ import re
 from unicodedata import normalize
 
 import pandas as pd
+from colorama import Fore
 
 from csv_metadata_quality.util import is_nfc
 
@@ -29,7 +30,9 @@ def whitespace(field, field_name):
         match = re.findall(pattern, value)
 
         if match:
-            print(f"Removing excessive whitespace ({field_name}): {value}")
+            print(
+                f"{Fore.GREEN}Removing excessive whitespace ({field_name}): {Fore.RESET}{value}"
+            )
             value = re.sub(pattern, " ", value)
 
         # Save cleaned value
@@ -62,7 +65,9 @@ def separators(field, field_name):
     for value in field.split("||"):
         # Check if the value is blank and skip it
         if value == "":
-            print(f"Fixing unnecessary multi-value separator ({field_name}): {field}")
+            print(
+                f"{Fore.GREEN}Fixing unnecessary multi-value separator ({field_name}): {Fore.RESET}{field}"
+            )
 
             continue
 
@@ -71,7 +76,9 @@ def separators(field, field_name):
         match = re.findall(pattern, value)
 
         if match:
-            print(f"Fixing invalid multi-value separator ({field_name}): {value}")
+            print(
+                f"{Fore.GREEN}Fixing invalid multi-value separator ({field_name}): {Fore.RESET}{value}"
+            )
 
             value = re.sub(pattern, "||", value)
 
@@ -107,7 +114,7 @@ def unnecessary_unicode(field):
     match = re.findall(pattern, field)
 
     if match:
-        print(f"Removing unnecessary Unicode (U+200B): {field}")
+        print(f"{Fore.GREEN}Removing unnecessary Unicode (U+200B): {Fore.RESET}{field}")
         field = re.sub(pattern, "", field)
 
     # Check for replacement characters (U+FFFD)
@@ -115,7 +122,7 @@ def unnecessary_unicode(field):
     match = re.findall(pattern, field)
 
     if match:
-        print(f"Removing unnecessary Unicode (U+FFFD): {field}")
+        print(f"{Fore.GREEN}Removing unnecessary Unicode (U+FFFD): {Fore.RESET}{field}")
         field = re.sub(pattern, "", field)
 
     # Check for no-break spaces (U+00A0)
@@ -123,7 +130,9 @@ def unnecessary_unicode(field):
     match = re.findall(pattern, field)
 
     if match:
-        print(f"Replacing unnecessary Unicode (U+00A0): {field}")
+        print(
+            f"{Fore.GREEN}Replacing unnecessary Unicode (U+00A0): {Fore.RESET}{field}"
+        )
         field = re.sub(pattern, " ", field)
 
     # Check for soft hyphens (U+00AD), sometimes preceeded with a normal hyphen
@@ -131,7 +140,9 @@ def unnecessary_unicode(field):
     match = re.findall(pattern, field)
 
     if match:
-        print(f"Replacing unnecessary Unicode (U+00AD): {field}")
+        print(
+            f"{Fore.GREEN}Replacing unnecessary Unicode (U+00AD): {Fore.RESET}{field}"
+        )
         field = re.sub(pattern, "-", field)
 
     return field
@@ -156,7 +167,9 @@ def duplicates(field, field_name):
         if value not in new_values:
             new_values.append(value)
         else:
-            print(f"Removing duplicate value ({field_name}): {value}")
+            print(
+                f"{Fore.GREEN}Removing duplicate value ({field_name}): {Fore.RESET}{value}"
+            )
 
     # Create a new field consisting of all values joined with "||"
     new_field = "||".join(new_values)
@@ -189,7 +202,7 @@ def newlines(field):
     match = re.findall(r"\n", field)
 
     if match:
-        print(f"Removing newline: {field}")
+        print(f"{Fore.GREEN}Removing newline: {Fore.RESET}{field}")
         field = field.replace("\n", "")
 
     return field
@@ -213,7 +226,9 @@ def comma_space(field, field_name):
     match = re.findall(r",\w", field)
 
     if match:
-        print(f"Adding space after comma ({field_name}): {field}")
+        print(
+            f"{Fore.GREEN}Adding space after comma ({field_name}): {Fore.RESET}{field}"
+        )
         field = re.sub(r",(\w)", r", \1", field)
 
     return field
@@ -234,7 +249,7 @@ def normalize_unicode(field, field_name):
 
     # Check if the current string is using normalized Unicode (NFC)
     if not is_nfc(field):
-        print(f"Normalizing Unicode ({field_name}): {field}")
+        print(f"{Fore.GREEN}Normalizing Unicode ({field_name}): {Fore.RESET}{field}")
         field = normalize("NFC", field)
 
     return field

csv_metadata_quality/version.py

@@ -1 +1 @@
-VERSION = "0.4.3"
+VERSION = "0.4.7"

data/test.csv

@@ -1,31 +1,34 @@
-dc.title,dc.date.issued,dc.identifier.issn,dc.identifier.isbn,dc.language.iso,dc.subject,cg.coverage.country,filename
- Leading space,2019-07-29,,,,,,
-Trailing space ,2019-07-29,,,,,,
-Excessive  space,2019-07-29,,,,,,
-Miscellaenous ||whitespace | issues ,2019-07-29,,,,,,
-Duplicate||Duplicate,2019-07-29,,,,,,
-Invalid ISSN,2019-07-29,2321-2302,,,,,
-Invalid ISBN,2019-07-29,,978-0-306-40615-6,,,,
-Multiple valid ISSNs,2019-07-29,0378-5955||0024-9319,,,,,
-Multiple valid ISBNs,2019-07-29,,99921-58-10-7||978-0-306-40615-7,,,,
-Invalid date,2019-07-260,,,,,,
-Multiple dates,2019-07-26||2019-01-10,,,,,,
-Invalid multi-value separator,2019-07-29,0378-5955|0024-9319,,,,,
-Unnecessary Unicode​,2019-07-29,,,,,,
-Suspicious character||foreˆt,2019-07-29,,,,,,
-Invalid ISO 639-1 (alpha 2) language,2019-07-29,,,jp,,,
-Invalid ISO 639-3 (alpha 3) language,2019-07-29,,,chi,,,
-Invalid language,2019-07-29,,,Span,,,
-Invalid AGROVOC subject,2019-07-29,,,,FOREST,,
+dc.title,dcterms.issued,dc.identifier.issn,dc.identifier.isbn,dcterms.language,dcterms.subject,cg.coverage.country,filename,dcterms.license,dcterms.type
+ Leading space,2019-07-29,,,,,,,,
+Trailing space ,2019-07-29,,,,,,,,
+Excessive  space,2019-07-29,,,,,,,,
+Miscellaenous ||whitespace | issues ,2019-07-29,,,,,,,,
+Duplicate||Duplicate,2019-07-29,,,,,,,,
+Invalid ISSN,2019-07-29,2321-2302,,,,,,,
+Invalid ISBN,2019-07-29,,978-0-306-40615-6,,,,,,
+Multiple valid ISSNs,2019-07-29,0378-5955||0024-9319,,,,,,,
+Multiple valid ISBNs,2019-07-29,,99921-58-10-7||978-0-306-40615-7,,,,,,
+Invalid date,2019-07-260,,,,,,,,
+Multiple dates,2019-07-26||2019-01-10,,,,,,,,
+Invalid multi-value separator,2019-07-29,0378-5955|0024-9319,,,,,,,
+Unnecessary Unicode​,2019-07-29,,,,,,,,
+Suspicious character||foreˆt,2019-07-29,,,,,,,,
+Invalid ISO 639-1 (alpha 2) language,2019-07-29,,,jp,,,,,
+Invalid ISO 639-3 (alpha 3) language,2019-07-29,,,chi,,,,,
+Invalid language,2019-07-29,,,Span,,,,,
+Invalid AGROVOC subject,2019-07-29,,,,FOREST,,,,
 Newline (LF),2019-07-30,,,,"TANZA
-NIA",,
-Missing date,,,,,,,
-Invalid country,2019-08-01,,,,,KENYAA,
-Uncommon filename extension,2019-08-10,,,,,,file.pdf.lck
-Unneccesary unicode (U+002D + U+00AD),2019-08-10,,978-­92-­9043-­823-­6,,,,
-"Missing space,after comma",2019-08-27,,,,,,
-Incorrect ISO 639-1 language,2019-09-26,,,es,,,
-Incorrect ISO 639-3 language,2019-09-26,,,spa,,,
-Composéd Unicode,2020-01-14,,,,,,
-Decomposéd Unicode,2020-01-14,,,,,,
-Unnecessary multi-value separator,2021-01-03,0378-5955||,,,,,
+NIA",,,,
+Missing date,,,,,,,,,
+Invalid country,2019-08-01,,,,,KENYAA,,,
+Uncommon filename extension,2019-08-10,,,,,,file.pdf.lck,,
+Unneccesary unicode (U+002D + U+00AD),2019-08-10,,978-­92-­9043-­823-­6,,,,,,
+"Missing space,after comma",2019-08-27,,,,,,,,
+Incorrect ISO 639-1 language,2019-09-26,,,es,,,,,
+Incorrect ISO 639-3 language,2019-09-26,,,spa,,,,,
+Composéd Unicode,2020-01-14,,,,,,,,
+Decomposéd Unicode,2020-01-14,,,,,,,,
+Unnecessary multi-value separator,2021-01-03,0378-5955||,,,,,,,
+Invalid SPDX license identifier,2021-03-11,,,,,,,CC-BY,
+Duplicate Title,2021-03-17,,,,,,,,Report
+Duplicate Title,2021-03-17,,,,,,,,Report

poetry.lock

@@ -1,6 +1,6 @@
 [[package]]
 name = "agate"
-version = "1.6.1"
+version = "1.6.2"
 description = "A data analysis library that is optimized for humans instead of machines."
 category = "dev"
 optional = false
@@ -11,6 +11,7 @@ Babel = ">=2.0"
 isodate = ">=0.5.4"
 leather = ">=0.3.2"
 parsedatetime = ">=2.1"
+PyICU = ">=2.4.2"
 python-slugify = ">=1.2.1"
 pytimeparse = ">=1.1.5"
 six = ">=1.9.0"
@@ -42,7 +43,7 @@ xlrd = ">=0.9.4"
 
 [[package]]
 name = "agate-sql"
-version = "0.5.5"
+version = "0.5.6"
 description = "agate-sql adds SQL read/write support to agate."
 category = "dev"
 optional = false
@@ -52,6 +53,10 @@ python-versions = "*"
 agate = ">=1.5.0"
 sqlalchemy = ">=1.0.8"
 
+[package.extras]
+docs = ["Sphinx (>=1.2.2)", "sphinx_rtd_theme (>=0.1.6)"]
+test = ["crate", "nose (>=1.1.2)", "geojson"]
+
 [[package]]
 name = "appdirs"
 version = "1.4.4"
@@ -159,7 +164,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 name = "colorama"
 version = "0.4.4"
 description = "Cross-platform colored terminal text."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
@@ -204,16 +209,28 @@ python-versions = "*"
 
 [[package]]
 name = "flake8"
-version = "3.8.4"
+version = "3.9.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 category = "dev"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [package.dependencies]
+importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 mccabe = ">=0.6.0,<0.7.0"
-pycodestyle = ">=2.6.0a1,<2.7.0"
-pyflakes = ">=2.2.0,<2.3.0"
+pycodestyle = ">=2.7.0,<2.8.0"
+pyflakes = ">=2.3.0,<2.4.0"
+
+[[package]]
+name = "greenlet"
+version = "1.0.0"
+description = "Lightweight in-process concurrent programming"
+category = "dev"
+optional = false
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
+
+[package.extras]
+docs = ["sphinx"]
 
 [[package]]
 name = "idna"
@@ -223,6 +240,22 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
+[[package]]
+name = "importlib-metadata"
+version = "3.7.3"
+description = "Read metadata from Python packages"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
+zipp = ">=0.5"
+
+[package.extras]
+docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
+testing = ["pytest (>=3.5,!=3.7.3)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "pytest-enabler", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
+
 [[package]]
 name = "iniconfig"
 version = "1.1.1"
@@ -233,7 +266,7 @@ python-versions = "*"
 
 [[package]]
 name = "ipython"
-version = "7.20.0"
+version = "7.21.0"
 description = "IPython: Productive Interactive Computing"
 category = "dev"
 optional = false
@@ -294,14 +327,6 @@ pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
 requirements_deprecated_finder = ["pipreqs", "pip-api"]
 colors = ["colorama (>=0.4.3,<0.5.0)"]
 
-[[package]]
-name = "jdcal"
-version = "1.4.1"
-description = "Julian dates from proleptic Gregorian and Julian calendars."
-category = "dev"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "jedi"
 version = "0.18.0"
@@ -365,7 +390,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "openpyxl"
-version = "3.0.6"
+version = "3.0.7"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
 category = "dev"
 optional = false
@@ -373,7 +398,6 @@ python-versions = ">=3.6,"
 
 [package.dependencies]
 et-xmlfile = "*"
-jdcal = "*"
 
 [[package]]
 name = "packaging"
@@ -388,7 +412,7 @@ pyparsing = ">=2.0.2"
 
 [[package]]
 name = "pandas"
-version = "1.2.2"
+version = "1.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 category = "main"
 optional = false
@@ -457,12 +481,15 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
+[package.dependencies]
+importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
+
 [package.extras]
 dev = ["pre-commit", "tox"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.16"
+version = "3.0.17"
 description = "Library for building powerful interactive command lines in Python"
 category = "dev"
 optional = false
@@ -489,7 +516,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pycodestyle"
-version = "2.6.0"
+version = "2.7.0"
 description = "Python style guide checker"
 category = "dev"
 optional = false
@@ -505,7 +532,7 @@ python-versions = "*"
 
 [[package]]
 name = "pyflakes"
-version = "2.2.0"
+version = "2.3.0"
 description = "passive checker of Python programs"
 category = "dev"
 optional = false
@@ -513,12 +540,20 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pygments"
-version = "2.8.0"
+version = "2.8.1"
 description = "Pygments is a syntax highlighting package written in Python."
 category = "dev"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "pyicu"
+version = "2.6"
+description = "Python extension wrapping the ICU C++ API"
+category = "dev"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "pyparsing"
 version = "2.4.7"
@@ -539,6 +574,7 @@ python-versions = ">=3.6"
 atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
 attrs = ">=19.2.0"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
+importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
 iniconfig = "*"
 packaging = "*"
 pluggy = ">=0.12,<1.0.0a1"
@@ -659,22 +695,40 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
+[[package]]
+name = "spdx-license-list"
+version = "0.5.2"
+description = "A simple tool/library for working with SPDX license definitions."
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "sqlalchemy"
-version = "1.3.23"
+version = "1.4.0"
 description = "Database Abstraction Library"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+
+[package.dependencies]
+greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\""}
+importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 
 [package.extras]
+aiomysql = ["greenlet (!=0.4.17)", "aiomysql"]
+asyncio = ["greenlet (!=0.4.17)"]
+mariadb_connector = ["mariadb (>=1.0.1)"]
 mssql = ["pyodbc"]
 mssql_pymssql = ["pymssql"]
 mssql_pyodbc = ["pyodbc"]
-mysql = ["mysqlclient"]
-oracle = ["cx-oracle"]
-postgresql = ["psycopg2"]
-postgresql_pg8000 = ["pg8000 (<1.16.6)"]
+mypy = ["sqlalchemy2-stubs", "mypy (>=0.800)"]
+mysql = ["mysqlclient (>=1.4.0,<2)", "mysqlclient (>=1.4.0)"]
+mysql_connector = ["mysqlconnector"]
+oracle = ["cx_oracle (>=7,<8)", "cx_oracle (>=7)"]
+postgresql = ["psycopg2 (>=2.7)"]
+postgresql_asyncpg = ["greenlet (!=0.4.17)", "asyncpg"]
+postgresql_pg8000 = ["pg8000 (>=1.16.6)"]
 postgresql_psycopg2binary = ["psycopg2-binary"]
 postgresql_psycopg2cffi = ["psycopg2cffi"]
 pymysql = ["pymysql (<1)", "pymysql"]
@@ -735,16 +789,16 @@ python-versions = "*"
 
 [[package]]
 name = "urllib3"
-version = "1.26.3"
+version = "1.26.4"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
 
 [package.extras]
-brotli = ["brotlipy (>=0.6.0)"]
 secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+brotli = ["brotlipy (>=0.6.0)"]
 
 [[package]]
 name = "wcwidth"
@@ -762,15 +816,26 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
+[[package]]
+name = "zipp"
+version = "3.4.1"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
+testing = ["pytest (>=4.6)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "pytest-enabler", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy"]
+
 [metadata]
 lock-version = "1.1"
-python-versions = "^3.8"
-content-hash = "63f2c6ef09652c4f8407660ff7b4690c8a07e5501eb8fc8c477f485de5888fcf"
+python-versions = "^3.7.1"
+content-hash = "e60e882e091af667b968c00521fd378e1220c1836d394d90bbc783920e38bb62"
 
 [metadata.files]
 agate = [
-    {file = "agate-1.6.1-py2.py3-none-any.whl", hash = "sha256:48d6f80b35611c1ba25a642cbc5b90fcbdeeb2a54711c4a8d062ee2809334d1c"},
-    {file = "agate-1.6.1.tar.gz", hash = "sha256:c93aaa500b439d71e4a5cf088d0006d2ce2c76f1950960c8843114e5f361dfd3"},
+    {file = "agate-1.6.2.tar.gz", hash = "sha256:8dbd4a57a2cffecfa2d8109ef5993ec4be12a8a7c81fbc0c8c79d96d4c4399ed"},
 ]
 agate-dbf = [
     {file = "agate-dbf-0.2.2.tar.gz", hash = "sha256:589682b78c5c03f2dc8511e6e3edb659fb7336cd118e248896bb0b44c2f1917b"},
@@ -779,7 +844,7 @@ agate-excel = [
     {file = "agate-excel-0.2.3.tar.gz", hash = "sha256:8f255ef2c87c436b7132049e1dd86c8e08bf82d8c773aea86f3069b461a17d52"},
 ]
 agate-sql = [
-    {file = "agate-sql-0.5.5.tar.gz", hash = "sha256:50a39754babef6cd0d1b1e75763324a49593394fe46ab1ea9546791b5e6b69a7"},
+    {file = "agate-sql-0.5.6.tar.gz", hash = "sha256:056dc9e587fbdfdf3f1c9950f4793a5ee87622c19deba31aa0a6d6681816dcde"},
 ]
 appdirs = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
@@ -839,20 +904,69 @@ et-xmlfile = [
     {file = "et_xmlfile-1.0.1.tar.gz", hash = "sha256:614d9722d572f6246302c4491846d2c393c199cfa4edc9af593437691683335b"},
 ]
 flake8 = [
-    {file = "flake8-3.8.4-py2.py3-none-any.whl", hash = "sha256:749dbbd6bfd0cf1318af27bf97a14e28e5ff548ef8e5b1566ccfb25a11e7c839"},
-    {file = "flake8-3.8.4.tar.gz", hash = "sha256:aadae8761ec651813c24be05c6f7b4680857ef6afaae4651a4eccaef97ce6c3b"},
+    {file = "flake8-3.9.0-py2.py3-none-any.whl", hash = "sha256:12d05ab02614b6aee8df7c36b97d1a3b2372761222b19b58621355e82acddcff"},
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 urllib3 = [
-    {file = "urllib3-1.26.3-py2.py3-none-any.whl", hash = "sha256:1b465e494e3e0d8939b50680403e3aedaa2bc434b7d5af64dfd3c958d7f5ae80"},
-    {file = "urllib3-1.26.3.tar.gz", hash = "sha256:de3eedaad74a2683334e282005cd8d7f22f4d55fa690a2a1020a416cb0a47e73"},
+    {file = "urllib3-1.26.4-py2.py3-none-any.whl", hash = "sha256:2f4da4594db7e1e110a944bb1b551fdf4e6c136ad42e4234131391e21eb5b0df"},
+    {file = "urllib3-1.26.4.tar.gz", hash = "sha256:e7b021f7241115872f92f43c6508082facffbd1c048e3c6e2bb9c2a157e28937"},
 ]
 wcwidth = [
     {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
@@ -1183,3 +1294,7 @@ xlrd = [
     {file = "xlrd-1.2.0-py2.py3-none-any.whl", hash = "sha256:e551fb498759fa3a5384a94ccd4c3c02eb7c00ea424426e212ac0c57be9dfbde"},
     {file = "xlrd-1.2.0.tar.gz", hash = "sha256:546eb36cee8db40c3eaa46c351e67ffee6eeb5fa2650b71bc4c758a29a1b29b2"},
 ]
+zipp = [
+    {file = "zipp-3.4.1-py3-none-any.whl", hash = "sha256:51cb66cc54621609dd593d1787f286ee42a5c0adbb4b29abea5a63edc3e03098"},
+    {file = "zipp-3.4.1.tar.gz", hash = "sha256:3607921face881ba3e026887d8150cca609d517579abe052ac81fc5aeffdbd76"},
+]

pyproject.toml

@@ -1,14 +1,17 @@
 [tool.poetry]
 name = "csv-metadata-quality"
-version = "0.4.3"
+version = "0.4.7"
 description="A simple, but opinionated CSV quality checking and fixing pipeline for CSVs in the DSpace ecosystem."
 authors = ["Alan Orth <alan.orth@gmail.com>"]
 license="GPL-3.0-only"
 repository = "https://github.com/ilri/csv-metadata-quality"
 homepage = "https://github.com/ilri/csv-metadata-quality"
 
+[tool.poetry.scripts]
+csv-metadata-quality = 'csv_metadata_quality.__main__:main'
+
 [tool.poetry.dependencies]
-python = "^3.8"
+python = "^3.7.1"
 pandas = "^1.0.4"
 python-stdnum = "^1.13"
 xlrd = "^1.2.0"
@@ -16,6 +19,8 @@ requests = "^2.23.0"
 requests-cache = "^0.5.2"
 pycountry = "^19.8.18"
 langid = "^1.1.6"
+colorama = "^0.4.4"
+spdx-license-list = "^0.5.2"
 
 [tool.poetry.dev-dependencies]
 pytest = "^6.1.1"

requirements-dev.txt

@@ -1,7 +1,7 @@
 agate-dbf==0.2.2
 agate-excel==0.2.3
-agate-sql==0.5.5
-agate==1.6.1
+agate-sql==0.5.6
+agate==1.6.2
 appdirs==1.4.4; python_version >= "3.6"
 appnope==0.1.2; python_version >= "3.7" and python_version < "4.0" and sys_platform == "darwin"
 atomicwrites==1.4.0; python_version >= "3.6" and python_full_version < "3.0.0" and sys_platform == "win32" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6") or sys_platform == "win32" and python_version >= "3.6" and python_full_version >= "3.4.0" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6")
@@ -12,60 +12,64 @@ black==20.8b1; python_version >= "3.6"
 certifi==2020.12.5; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
 chardet==4.0.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
 click==7.1.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.6"
-colorama==0.4.4; python_version >= "3.7" and python_full_version < "3.0.0" and sys_platform == "win32" and python_version < "4.0" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6") or sys_platform == "win32" and python_version >= "3.7" and python_full_version >= "3.5.0" and python_version < "4.0" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6")
+colorama==0.4.4; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
 csvkit==1.0.5
 dbfread==2.0.7
 decorator==4.4.2; python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" or python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.2.0"
 et-xmlfile==1.0.1; python_version >= "3.6"
-flake8==3.8.4; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.4.0")
+flake8==3.9.0; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
+greenlet==1.0.0; python_version >= "3" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3"
 idna==2.10; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
+importlib-metadata==3.7.3; python_version < "3.8" and python_version >= "3.6" and (python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "3.8" or python_full_version >= "3.5.0" and python_version < "3.8" and python_version >= "3.6") and (python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "3.8" or python_full_version >= "3.4.0" and python_version >= "3.6" and python_version < "3.8") and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6") and (python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "3.8" or python_full_version >= "3.6.0" and python_version < "3.8" and python_version >= "3.6")
 iniconfig==1.1.1; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
 ipython-genutils==0.2.0; python_version >= "3.7" and python_version < "4.0"
-ipython==7.20.0; python_version >= "3.7" and python_version < "4.0"
+ipython==7.21.0; python_version >= "3.7" and python_version < "4.0"
 isodate==0.6.0
 isort==5.7.0; python_version >= "3.6" and python_version < "4.0"
-jdcal==1.4.1; python_version >= "3.6"
 jedi==0.18.0; python_version >= "3.7" and python_version < "4.0"
 langid==1.1.6
 leather==0.3.3
-mccabe==0.6.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
+mccabe==0.6.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
 mypy-extensions==0.4.3; python_version >= "3.6"
-numpy==1.20.0; python_version >= "3.7" and python_full_version >= "3.7.1"
-openpyxl==3.0.6; python_version >= "3.6"
+numpy==1.20.1; python_version >= "3.7" and python_full_version >= "3.7.1"
+openpyxl==3.0.7; python_version >= "3.6"
 packaging==20.9; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
-pandas==1.2.1; python_full_version >= "3.7.1"
+pandas==1.2.3; python_full_version >= "3.7.1"
 parsedatetime==2.6
 parso==0.8.1; python_version >= "3.7" and python_version < "4.0"
 pathspec==0.8.1; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.6"
 pexpect==4.8.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32"
 pickleshare==0.7.5; python_version >= "3.7" and python_version < "4.0"
 pluggy==0.13.1; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
-prompt-toolkit==3.0.14; python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.6.1"
+prompt-toolkit==3.0.17; python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.6.1"
 ptyprocess==0.7.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32"
 py==1.10.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
-pycodestyle==2.6.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
+pycodestyle==2.7.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
 pycountry==19.8.18
-pyflakes==2.2.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
-pygments==2.7.4; python_version >= "3.7" and python_version < "4.0"
+pyflakes==2.3.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
+pygments==2.8.1; python_version >= "3.7" and python_version < "4.0"
+pyicu==2.6
 pyparsing==2.4.7; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
 pytest-clarity==0.3.0a0; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.4.0")
 pytest==6.2.2; python_version >= "3.6"
 python-dateutil==2.8.1; python_full_version >= "3.7.1"
 python-slugify==4.0.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
-python-stdnum==1.15
+python-stdnum==1.16
 pytimeparse==1.1.8
 pytz==2021.1; python_full_version >= "3.7.1"
 regex==2020.11.13; python_version >= "3.6"
 requests-cache==0.5.2
 requests==2.25.1; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
 six==1.15.0; python_full_version >= "3.7.1"
-sqlalchemy==1.3.23; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
+spdx-license-list==0.5.2
+sqlalchemy==1.4.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0"
 termcolor==1.1.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
 text-unidecode==1.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
 toml==0.10.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
 traitlets==5.0.5; python_version >= "3.7" and python_version < "4.0"
 typed-ast==1.4.2; python_version >= "3.6"
-typing-extensions==3.7.4.3; python_version >= "3.6"
-urllib3==1.26.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version < "4"
+typing-extensions==3.7.4.3; python_version < "3.8" and python_version >= "3.6"
+urllib3==1.26.4; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version < "4"
 wcwidth==0.2.5; python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.6.1"
 xlrd==1.2.0; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.4.0")
+zipp==3.4.1; python_version < "3.8" and python_version >= "3.6"

requirements.txt

@@ -1,15 +1,17 @@
 certifi==2020.12.5; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
 chardet==4.0.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
+colorama==0.4.4; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
 idna==2.10; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
 langid==1.1.6
-numpy==1.20.0; python_version >= "3.7" and python_full_version >= "3.7.1"
-pandas==1.2.1; python_full_version >= "3.7.1"
+numpy==1.20.1; python_version >= "3.7" and python_full_version >= "3.7.1"
+pandas==1.2.3; python_full_version >= "3.7.1"
 pycountry==19.8.18
 python-dateutil==2.8.1; python_full_version >= "3.7.1"
-python-stdnum==1.15
+python-stdnum==1.16
 pytz==2021.1; python_full_version >= "3.7.1"
 requests-cache==0.5.2
 requests==2.25.1; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
 six==1.15.0; python_full_version >= "3.7.1"
-urllib3==1.26.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version < "4"
+spdx-license-list==0.5.2
+urllib3==1.26.4; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version < "4"
 xlrd==1.2.0; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.4.0")

setup.py

@@ -14,7 +14,7 @@ install_requires = [
 
 setuptools.setup(
     name="csv-metadata-quality",
-    version="0.4.3",
+    version="0.4.7",
     author="Alan Orth",
     author_email="aorth@mjanja.ch",
     description="A simple, but opinionated CSV quality checking and fixing pipeline for CSVs in the DSpace ecosystem.",
@@ -28,7 +28,6 @@ setuptools.setup(
         "Programming Language :: Python :: 3.9",
         "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
         "Operating System :: OS Independent",
-        "Development Status :: 4 - Beta",
     ],
     packages=["csv_metadata_quality"],
     entry_points={

tests/test_check.py

@@ -1,4 +1,5 @@
 import pandas as pd
+from colorama import Fore
 
 import csv_metadata_quality.check as check
 import csv_metadata_quality.experimental as experimental
@@ -12,7 +13,7 @@ def test_check_invalid_issn(capsys):
     check.issn(value)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Invalid ISSN: {value}\n"
+    assert captured.out == f"{Fore.RED}Invalid ISSN: {Fore.RESET}{value}\n"
 
 
 def test_check_valid_issn():
@@ -22,7 +23,7 @@ def test_check_valid_issn():
 
     result = check.issn(value)
 
-    assert result == value
+    assert result == None
 
 
 def test_check_invalid_isbn(capsys):
@@ -33,7 +34,7 @@ def test_check_invalid_isbn(capsys):
     check.isbn(value)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Invalid ISBN: {value}\n"
+    assert captured.out == f"{Fore.RED}Invalid ISBN: {Fore.RESET}{value}\n"
 
 
 def test_check_valid_isbn():
@@ -43,47 +44,7 @@ def test_check_valid_isbn():
 
     result = check.isbn(value)
 
-    assert result == value
-
-
-def test_check_invalid_separators(capsys):
-    """Test checking invalid multi-value separators."""
-
-    value = "Alan|Orth"
-
-    field_name = "dc.contributor.author"
-
-    check.separators(value, field_name)
-
-    captured = capsys.readouterr()
-    assert captured.out == f"Invalid multi-value separator ({field_name}): {value}\n"
-
-
-def test_check_unnecessary_separators(capsys):
-    """Test checking unnecessary multi-value separators."""
-
-    field = "Alan||Orth||"
-
-    field_name = "dc.contributor.author"
-
-    check.separators(field, field_name)
-
-    captured = capsys.readouterr()
-    assert (
-        captured.out == f"Unnecessary multi-value separator ({field_name}): {field}\n"
-    )
-
-
-def test_check_valid_separators():
-    """Test checking valid multi-value separators."""
-
-    value = "Alan||Orth"
-
-    field_name = "dc.contributor.author"
-
-    result = check.separators(value, field_name)
-
-    assert result == value
+    assert result == None
 
 
 def test_check_missing_date(capsys):
@@ -96,7 +57,7 @@ def test_check_missing_date(capsys):
     check.date(value, field_name)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Missing date ({field_name}).\n"
+    assert captured.out == f"{Fore.RED}Missing date ({field_name}).{Fore.RESET}\n"
 
 
 def test_check_multiple_dates(capsys):
@@ -109,7 +70,10 @@ def test_check_multiple_dates(capsys):
     check.date(value, field_name)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Multiple dates not allowed ({field_name}): {value}\n"
+    assert (
+        captured.out
+        == f"{Fore.RED}Multiple dates not allowed ({field_name}): {Fore.RESET}{value}\n"
+    )
 
 
 def test_check_invalid_date(capsys):
@@ -122,7 +86,9 @@ def test_check_invalid_date(capsys):
     check.date(value, field_name)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Invalid date ({field_name}): {value}\n"
+    assert (
+        captured.out == f"{Fore.RED}Invalid date ({field_name}): {Fore.RESET}{value}\n"
+    )
 
 
 def test_check_valid_date():
@@ -134,7 +100,7 @@ def test_check_valid_date():
 
     result = check.date(value, field_name)
 
-    assert result == value
+    assert result == None
 
 
 def test_check_suspicious_characters(capsys):
@@ -147,7 +113,10 @@ def test_check_suspicious_characters(capsys):
     check.suspicious_characters(value, field_name)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Suspicious character ({field_name}): ˆt\n"
+    assert (
+        captured.out
+        == f"{Fore.YELLOW}Suspicious character ({field_name}): {Fore.RESET}ˆt\n"
+    )
 
 
 def test_check_valid_iso639_1_language():
@@ -157,7 +126,7 @@ def test_check_valid_iso639_1_language():
 
     result = check.language(value)
 
-    assert result == value
+    assert result == None
 
 
 def test_check_valid_iso639_3_language():
@@ -167,7 +136,7 @@ def test_check_valid_iso639_3_language():
 
     result = check.language(value)
 
-    assert result == value
+    assert result == None
 
 
 def test_check_invalid_iso639_1_language(capsys):
@@ -178,7 +147,9 @@ def test_check_invalid_iso639_1_language(capsys):
     check.language(value)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Invalid ISO 639-1 language: {value}\n"
+    assert (
+        captured.out == f"{Fore.RED}Invalid ISO 639-1 language: {Fore.RESET}{value}\n"
+    )
 
 
 def test_check_invalid_iso639_3_language(capsys):
@@ -189,7 +160,9 @@ def test_check_invalid_iso639_3_language(capsys):
     check.language(value)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Invalid ISO 639-3 language: {value}\n"
+    assert (
+        captured.out == f"{Fore.RED}Invalid ISO 639-3 language: {Fore.RESET}{value}\n"
+    )
 
 
 def test_check_invalid_language(capsys):
@@ -200,30 +173,33 @@ def test_check_invalid_language(capsys):
     check.language(value)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Invalid language: {value}\n"
+    assert captured.out == f"{Fore.RED}Invalid language: {Fore.RESET}{value}\n"
 
 
 def test_check_invalid_agrovoc(capsys):
     """Test invalid AGROVOC subject."""
 
     value = "FOREST"
-    field_name = "dc.subject"
+    field_name = "dcterms.subject"
 
     check.agrovoc(value, field_name)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Invalid AGROVOC ({field_name}): {value}\n"
+    assert (
+        captured.out
+        == f"{Fore.RED}Invalid AGROVOC ({field_name}): {Fore.RESET}{value}\n"
+    )
 
 
 def test_check_valid_agrovoc():
     """Test valid AGROVOC subject."""
 
     value = "FORESTS"
-    field_name = "dc.subject"
+    field_name = "dcterms.subject"
 
     result = check.agrovoc(value, field_name)
 
-    assert result == value
+    assert result == None
 
 
 def test_check_uncommon_filename_extension(capsys):
@@ -234,7 +210,10 @@ def test_check_uncommon_filename_extension(capsys):
     check.filename_extension(value)
 
     captured = capsys.readouterr()
-    assert captured.out == f"Filename with uncommon extension: {value}\n"
+    assert (
+        captured.out
+        == f"{Fore.YELLOW}Filename with uncommon extension: {Fore.RESET}{value}\n"
+    )
 
 
 def test_check_common_filename_extension():
@@ -244,7 +223,7 @@ def test_check_common_filename_extension():
 
     result = check.filename_extension(value)
 
-    assert result == value
+    assert result == None
 
 
 def test_check_incorrect_iso_639_1_language(capsys):
@@ -262,7 +241,7 @@ def test_check_incorrect_iso_639_1_language(capsys):
     captured = capsys.readouterr()
     assert (
         captured.out
-        == f"Possibly incorrect language {language} (detected en): {title}\n"
+        == f"{Fore.YELLOW}Possibly incorrect language {language} (detected en): {Fore.RESET}{title}\n"
     )
 
 
@@ -281,7 +260,7 @@ def test_check_incorrect_iso_639_3_language(capsys):
     captured = capsys.readouterr()
     assert (
         captured.out
-        == f"Possibly incorrect language {language} (detected eng): {title}\n"
+        == f"{Fore.YELLOW}Possibly incorrect language {language} (detected eng): {Fore.RESET}{title}\n"
     )
 
 
@@ -297,7 +276,7 @@ def test_check_correct_iso_639_1_language():
 
     result = experimental.correct_language(series)
 
-    assert result == language
+    assert result == None
 
 
 def test_check_correct_iso_639_3_language():
@@ -312,4 +291,51 @@ def test_check_correct_iso_639_3_language():
 
     result = experimental.correct_language(series)
 
-    assert result == language
+    assert result == None
+
+
+def test_check_valid_spdx_license_identifier():
+    """Test valid SPDX license identifier."""
+
+    license = "CC-BY-SA-4.0"
+
+    result = check.spdx_license_identifier(license)
+
+    assert result == None
+
+
+def test_check_invalid_spdx_license_identifier(capsys):
+    """Test invalid SPDX license identifier."""
+
+    license = "CC-BY-SA"
+
+    result = check.spdx_license_identifier(license)
+
+    captured = capsys.readouterr()
+    assert (
+        captured.out
+        == f"{Fore.YELLOW}Non-SPDX license identifier: {Fore.RESET}{license}\n"
+    )
+
+
+def test_check_duplicate_item(capsys):
+    """Test item with duplicate title, type, and date."""
+
+    item_title = "Title"
+    item_type = "Report"
+    item_date = "2021-03-17"
+
+    d = {
+        "dc.title": [item_title, item_title],
+        "dcterms.type": [item_type, item_type],
+        "dcterms.issued": [item_date, item_date],
+    }
+    df = pd.DataFrame(data=d)
+
+    result = check.duplicate_items(df)
+
+    captured = capsys.readouterr()
+    assert (
+        captured.out
+        == f"{Fore.YELLOW}Possible duplicate (dc.title): {Fore.RESET}{item_title}\n"
+    )