Version 0.7.0

I think pytest itself has gotten much more readable over the years.

.drone.yml

@@ -1,91 +0,0 @@
----
-kind: pipeline
-type: docker
-name: python311
-
-steps:
-- name: test
-  image: python:3.11-slim
-  commands:
-  - id
-  - python -V
-  - apt update && apt install -y gcc g++ libicu-dev pkg-config git
-  - python -m pip install poetry
-  - poetry install
-  - poetry run pytest
-  # Basic test
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv
-  # Basic test with unsafe fixes
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -u
-  # Geography test
-  - poetry run csv-metadata-quality -i data/test-geography.csv -o /tmp/test.csv
-  # Geography test with unsafe fixes
-  - poetry run csv-metadata-quality -i data/test-geography.csv -o /tmp/test.csv -u
-  # Test with experimental checks
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e
-  # Test with AGROVOC validation
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject
-  # Test with AGROVOC validation (and dropping invalid)
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject -d
-
----
-kind: pipeline
-type: docker
-name: python310
-
-steps:
-- name: test
-  image: python:3.10-slim
-  commands:
-  - id
-  - python -V
-  - apt update && apt install -y gcc g++ libicu-dev pkg-config git
-  - python -m pip install poetry
-  - poetry install
-  - poetry run pytest
-  # Basic test
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv
-  # Basic test with unsafe fixes
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -u
-  # Geography test
-  - poetry run csv-metadata-quality -i data/test-geography.csv -o /tmp/test.csv
-  # Geography test with unsafe fixes
-  - poetry run csv-metadata-quality -i data/test-geography.csv -o /tmp/test.csv -u
-  # Test with experimental checks
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e
-  # Test with AGROVOC validation
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject
-  # Test with AGROVOC validation (and dropping invalid)
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject -d
-
----
-kind: pipeline
-type: docker
-name: python39
-
-steps:
-- name: test
-  image: python:3.9-slim
-  commands:
-  - id
-  - python -V
-  - apt update && apt install -y gcc g++ libicu-dev pkg-config git
-  - python -m pip install poetry
-  - poetry install
-  - poetry run pytest
-  # Basic test
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv
-  # Basic test with unsafe fixes
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -u
-  # Geography test
-  - poetry run csv-metadata-quality -i data/test-geography.csv -o /tmp/test.csv
-  # Geography test with unsafe fixes
-  - poetry run csv-metadata-quality -i data/test-geography.csv -o /tmp/test.csv -u
-  # Test with experimental checks
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e
-  # Test with AGROVOC validation
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject
-  # Test with AGROVOC validation (and dropping invalid)
-  - poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject -d
-
-# vim: ts=2 sw=2 et

.github/workflows/python-app.yml

@@ -12,34 +12,26 @@ on:
 jobs:
   build:
 
-    runs-on: ubuntu-22.04
+    runs-on: ubuntu-latest
 
     steps:
     - uses: actions/checkout@v4
-    - name: Install poetry
+    - name: Install uv
-      run: pipx install poetry
+      uses: astral-sh/setup-uv@v5
-    - uses: actions/setup-python@v4
       with:
-        python-version: '3.11'
+        version: 'latest'
-        cache: 'poetry'
+    - run: uv sync
-    - run: poetry install
-    - name: Lint with flake8
-      run: |
-        # stop the build if there are Python syntax errors or undefined names
-        poetry run flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
-        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
-        poetry run flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
     - name: Test with pytest
-      run: poetry run pytest
+      run: uv run pytest
     - name: Test CLI
       run: |
         # Basic test
-        poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv
+        uv run csv-metadata-quality -i data/test.csv -o /tmp/test.csv
         # Test with unsafe fixes
-        poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -u
+        uv run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -u
         # Test with experimental checks
-        poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e
+        uv run csv-metadata-quality -i data/test.csv -o /tmp/test.csv -e
         # Test with AGROVOC validation
-        poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject
+        uv run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject
         # Test with AGROVOC validation (and dropping invalid)
-        poetry run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject -d
+        uv run csv-metadata-quality -i data/test.csv -o /tmp/test.csv --agrovoc-fields dcterms.subject -d

.python-version

@@ -0,0 +1 @@
+3.13

CHANGELOG.md

@@ -4,7 +4,10 @@ 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
+## [0.7.0] - 2025-01-31
+### Added
+- Ability to normalize DOIs to https://doi.org URI format
+
 ### Fixed
 - Fixed regex so we don't run the invalid multi-value separator fix on
 `dcterms.bibliographicCitation` fields
@@ -15,9 +18,13 @@ fields
 ### Changed
 - Don't run newline fix on description fields
 - Install requests-cache in main run() function instead of check.agrovoc() function so we only incur the overhead once
+- Use py3langid instead of langid, see: [How to make language detection with langid.py faster](https://adrien.barbaresi.eu/blog/language-detection-langid-py-faster.html)
+- Use uv instead of rye
+- Remove pytest-clarity — I think pytest itself has gotten much better in the past few years
 
 ### Updated
 - Python dependencies, including Pandas 2.0.0 and [Arrow-backed dtypes](https://datapythonista.me/blog/pandas-20-and-the-arrow-revolution-part-i)
+- SPDX license list
 
 ## [0.6.1] - 2023-02-23
 ### Fixed

README.md

@@ -1,7 +1,6 @@
 <h1 align="center">DSpace CSV Metadata Quality Checker</h1>
 
 <p align="center">
-  <a href="https://ci.mjanja.ch/alanorth/csv-metadata-quality"><img alt="Build Status" src="https://ci.mjanja.ch/api/badges/alanorth/csv-metadata-quality/status.svg"></a>
   <a href="https://github.com/ilri/csv-metadata-quality/actions"><img alt="Build and Test" src="https://github.com/ilri/csv-metadata-quality/workflows/Build%20and%20Test/badge.svg"></a>
   <a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
 </p>
@@ -31,24 +30,25 @@ If you use the DSpace CSV metadata quality checker please cite:
 - Check for countries with missing regions (and attempt to fix with `--unsafe-fixes`)
 - Remove duplicate metadata values
 - Check for duplicate items, using the title, type, and date issued as an indicator
+- [Normalize DOIs](https://www.crossref.org/documentation/member-setup/constructing-your-dois/) to https://doi.org URI format
 
 ## Installation
-The easiest way to install CSV Metadata Quality is with [poetry](https://python-poetry.org):
+The easiest way to install CSV Metadata Quality is with [uv](https://docs.astral.sh/uv/):
 
 ```
 $ git clone https://github.com/ilri/csv-metadata-quality.git
 $ cd csv-metadata-quality
-$ poetry install
+$ uv sync
-$ poetry shell
+$ source .venv/bin/activate
 ```
 
-Otherwise, if you don't have poetry, you can use a vanilla Python virtual environment:
+Otherwise, if you don't have uv, you can use a vanilla Python virtual environment:
 
 ```
 $ git clone https://github.com/ilri/csv-metadata-quality.git
 $ cd csv-metadata-quality
-$ python3 -m venv venv
+$ python3 -m venv .venv
-$ source venv/bin/activate
+$ source .venv/bin/activate
 $ pip install -r requirements.txt
 ```
 
@@ -125,7 +125,6 @@ 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 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 tests for application invocation, ie `tests/test_app.py`?
 - Validate ISSNs or journal titles against CrossRef API?

csv_metadata_quality/app.py

@@ -141,6 +141,11 @@ def run(argv):
         # Fix: unnecessary Unicode
         df[column] = df[column].apply(fix.unnecessary_unicode)
 
+        # Fix: normalize DOIs
+        match = re.match(r"^.*?identifier\.doi.*$", column)
+        if match is not None:
+            df[column] = df[column].apply(fix.normalize_dois)
+
         # Fix: invalid and unnecessary multi-value separators. Skip the title
         # and abstract fields because "|" is used to indicate something like
         # a subtitle.

csv_metadata_quality/check.py

@@ -2,7 +2,7 @@
 
 import logging
 import re
-from datetime import datetime, timedelta
+from datetime import datetime
 
 import country_converter as coco
 import pandas as pd
@@ -133,7 +133,7 @@ def suspicious_characters(field, field_name):
         return
 
     # List of suspicious characters, for example:  ́ˆ~`
-    suspicious_characters = ["\u00B4", "\u02C6", "\u007E", "\u0060"]
+    suspicious_characters = ["\u00b4", "\u02c6", "\u007e", "\u0060"]
 
     for character in suspicious_characters:
         # Find the position of the suspicious character in the string

csv_metadata_quality/experimental.py

@@ -2,8 +2,8 @@
 
 import re
 
-import langid
 import pandas as pd
+import py3langid as langid
 from colorama import Fore
 from pycountry import languages
 

csv_metadata_quality/fix.py

@@ -395,3 +395,88 @@ def countries_match_regions(row, exclude):
                 row[region_column_name] = "||".join(missing_regions)
 
     return row
+
+
+def normalize_dois(field):
+    """Normalize DOIs.
+
+    DOIs are meant to be globally unique identifiers. They are case insensitive,
+    but in order to compare them robustly they should be normalized to a common
+    format:
+
+        - strip leading and trailing whitespace
+        - lowercase all ASCII characters
+        - convert all variations to https://doi.org/10.xxxx/xxxx URI format
+
+    Return string with normalized DOI.
+
+    See: https://www.crossref.org/documentation/member-setup/constructing-your-dois/
+    """
+
+    # Skip fields with missing values
+    if pd.isna(field):
+        return
+
+    # Try to split multi-value field on "||" separator
+    values = field.split("||")
+
+    # Initialize an empty list to hold the de-duplicated values
+    new_values = []
+
+    # Iterate over all values (most items will only have one DOI)
+    for value in values:
+        # Strip leading and trailing whitespace
+        new_value = value.strip()
+
+        new_value = new_value.lower()
+
+        # Convert to HTTPS
+        pattern = re.compile(r"^http://")
+        match = re.findall(pattern, new_value)
+
+        if match:
+            new_value = re.sub(pattern, "https://", new_value)
+
+        # Convert dx.doi.org to doi.org
+        pattern = re.compile(r"dx\.doi\.org")
+        match = re.findall(pattern, new_value)
+
+        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)
+
+        if match:
+            new_value = re.sub(pattern, "https://doi.org/10.", new_value)
+
+        # Replace values like 10.3390/foods12010115
+        pattern = re.compile(r"^10\.")
+        match = re.findall(pattern, new_value)
+
+        if match:
+            new_value = re.sub(pattern, "https://doi.org/10.", new_value)
+
+        if new_value != value:
+            print(f"{Fore.GREEN}Normalized DOI: {Fore.RESET}{value}")
+
+        new_values.append(new_value)
+
+    new_field = "||".join(new_values)
+
+    return new_field

csv_metadata_quality/version.py

@@ -1,3 +1,3 @@
 # SPDX-License-Identifier: GPL-3.0-only
 
-VERSION = "0.6.1"
+VERSION = "0.7.0"

data/test.csv

@@ -37,3 +37,7 @@ Mojibake,2021-03-18,,,,Publicaçao CIAT,,,,Report,,,,
 Title missing from citation,2021-12-05,,,,,,,,,"Orth, A. 2021. Title missing f rom citation.",,,
 Country missing region,2021-12-08,,,,,Kenya,,,,,,,
 Subregion field shouldn’t trigger region checks,2022-12-07,,,,,Kenya,,,,,,Eastern Africa,Baringo
+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

@@ -1,40 +1,60 @@
-[tool.poetry]
+[project]
 name = "csv-metadata-quality"
-version = "0.6.1"
+version = "0.7.0"
 description="A simple, but opinionated CSV quality checking and fixing pipeline for CSVs in the DSpace ecosystem."
-authors = ["Alan Orth <alan.orth@gmail.com>"]
+authors = [
-license="GPL-3.0-only"
+    { name = "Alan Orth", email = "alan.orth@gmail.com" }
+]
+license= { file = "LICENSE.txt" }
+dependencies = [
+    "pandas[feather,performance]~=2.2.3",
+    "python-stdnum~=1.20",
+    "requests~=2.32.3",
+    "requests-cache~=1.2.1",
+    "colorama~=0.4",
+    "ftfy~=6.3.0",
+    "country-converter~=1.3",
+    "pycountry~=24.6.1",
+    "py3langid~=0.3",
+]
+readme = "README.md"
+requires-python = ">= 3.10"
+
+classifiers = [
+  "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
+  "Natural Language :: English",
+  "Operating System :: OS Independent",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
+  "Programming Language :: Python :: Implementation :: CPython",
+]
+
+[project.urls]
 repository = "https://github.com/ilri/csv-metadata-quality"
 homepage = "https://github.com/ilri/csv-metadata-quality"
 
-[tool.poetry.scripts]
+[project.scripts]
 csv-metadata-quality = 'csv_metadata_quality.__main__:main'
 
-[tool.poetry.dependencies]
+# So uv doesn't fall back to setuptools
-python = "^3.9"
+# See: https://packaging.python.org/en/latest/tutorials/packaging-projects/#choosing-build-backend
-pandas = {version = "^2.0.2", extras = ["feather", "performance"]}
-python-stdnum = "^1.18"
-requests = "^2.28.2"
-requests-cache = "^1.0.0"
-langid = "^1.1.6"
-colorama = "^0.4.6"
-ftfy = "^6.1.1"
-country-converter = "~1.1.0"
-pycountry = {git = "https://github.com/alanorth/pycountry", rev = "iso-codes-4.15.0"}
-
-[tool.poetry.group.dev.dependencies]
-pytest = "^7.2.1"
-flake8 = "^6.0.0"
-pytest-clarity = "^1.0.1"
-black = "^23.1.0"
-isort = "^5.12.0"
-csvkit = "^1.1.0"
-ipython = "^8.10.0"
-fixit = "^2.1.0"
-
 [build-system]
-requires = ["poetry>=0.12"]
+requires = ["hatchling"]
-build-backend = "poetry.masonry.api"
+build-backend = "hatchling.build"
+
+[dependency-groups]
+dev = [
+    "pytest~=8.3",
+    "isort~=6.0",
+    "csvkit~=2.0",
+    "ipython~=8.31",
+]
+
+# So hatch doesn't try to build other top-level directories like "data"
+[tool.hatch.build.targets.wheel]
+packages = ["csv_metadata_quality"]
 
 [tool.isort]
 profile = "black"

renovate.json

@@ -1,9 +1,9 @@
 {
   "$schema": "https://docs.renovatebot.com/renovate-schema.json",
   "extends": [
-    "config:base"
+    "config:recommended"
   ],
-  "pip_requirements": {
+  "pep621": {
-      "enabled": false
+    "enabled": false
   }
 }

requirements-dev.txt

@@ -1,82 +0,0 @@
-agate-dbf==0.2.2 ; python_version >= "3.9" and python_version < "4.0"
-agate-excel==0.2.5 ; python_version >= "3.9" and python_version < "4.0"
-agate-sql==0.5.9 ; python_version >= "3.9" and python_version < "4.0"
-agate==1.7.1 ; python_version >= "3.9" and python_version < "4.0"
-appdirs==1.4.4 ; python_version >= "3.9" and python_version < "4.0"
-appnope==0.1.3 ; python_version >= "3.9" and python_version < "4.0" and sys_platform == "darwin"
-asttokens==2.2.1 ; python_version >= "3.9" and python_version < "4.0"
-attrs==23.1.0 ; python_version >= "3.9" and python_version < "4.0"
-babel==2.12.1 ; python_version >= "3.9" and python_version < "4.0"
-backcall==0.2.0 ; python_version >= "3.9" and python_version < "4.0"
-black==23.3.0 ; python_version >= "3.9" and python_version < "4.0"
-cattrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
-certifi==2022.12.7 ; python_version >= "3.9" and python_version < "4.0"
-charset-normalizer==3.1.0 ; python_version >= "3.9" and python_version < "4.0"
-click==8.1.3 ; python_version >= "3.9" and python_version < "4.0"
-colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0"
-country-converter==1.0.0 ; python_version >= "3.9" and python_version < "4.0"
-csvkit==1.1.1 ; python_version >= "3.9" and python_version < "4.0"
-dbfread==2.0.7 ; python_version >= "3.9" and python_version < "4.0"
-decorator==5.1.1 ; python_version >= "3.9" and python_version < "4.0"
-et-xmlfile==1.1.0 ; python_version >= "3.9" and python_version < "4.0"
-exceptiongroup==1.1.1 ; python_version >= "3.9" and python_version < "3.11"
-executing==1.2.0 ; python_version >= "3.9" and python_version < "4.0"
-flake8==6.0.0 ; python_version >= "3.9" and python_version < "4.0"
-ftfy==6.1.1 ; python_version >= "3.9" and python_version < "4"
-greenlet==2.0.2 ; python_version >= "3.9" and platform_machine == "aarch64" and python_version < "4.0" or python_version >= "3.9" and platform_machine == "ppc64le" and python_version < "4.0" or python_version >= "3.9" and platform_machine == "x86_64" and python_version < "4.0" or python_version >= "3.9" and platform_machine == "amd64" and python_version < "4.0" or python_version >= "3.9" and platform_machine == "AMD64" and python_version < "4.0" or python_version >= "3.9" and platform_machine == "win32" and python_version < "4.0" or python_version >= "3.9" and platform_machine == "WIN32" and python_version < "4.0"
-idna==3.4 ; python_version >= "3.9" and python_version < "4.0"
-iniconfig==2.0.0 ; python_version >= "3.9" and python_version < "4.0"
-ipython==8.13.1 ; python_version >= "3.9" and python_version < "4.0"
-isodate==0.6.1 ; python_version >= "3.9" and python_version < "4.0"
-isort==5.12.0 ; python_version >= "3.9" and python_version < "4.0"
-jedi==0.18.2 ; python_version >= "3.9" and python_version < "4.0"
-langid==1.1.6 ; python_version >= "3.9" and python_version < "4.0"
-leather==0.3.4 ; python_version >= "3.9" and python_version < "4.0"
-markdown-it-py==2.2.0 ; python_version >= "3.9" and python_version < "4.0"
-matplotlib-inline==0.1.6 ; python_version >= "3.9" and python_version < "4.0"
-mccabe==0.7.0 ; python_version >= "3.9" and python_version < "4.0"
-mdurl==0.1.2 ; python_version >= "3.9" and python_version < "4.0"
-mypy-extensions==1.0.0 ; python_version >= "3.9" and python_version < "4.0"
-numpy==1.24.3 ; python_version >= "3.9" and python_version < "4.0"
-olefile==0.46 ; python_version >= "3.9" and python_version < "4.0"
-openpyxl==3.1.2 ; python_version >= "3.9" and python_version < "4.0"
-packaging==23.1 ; python_version >= "3.9" and python_version < "4.0"
-pandas==2.0.1 ; python_version >= "3.9" and python_version < "4.0"
-parsedatetime==2.6 ; python_version >= "3.9" and python_version < "4.0"
-parso==0.8.3 ; python_version >= "3.9" and python_version < "4.0"
-pathspec==0.11.1 ; python_version >= "3.9" and python_version < "4.0"
-pexpect==4.8.0 ; python_version >= "3.9" and python_version < "4.0" and sys_platform != "win32"
-pickleshare==0.7.5 ; python_version >= "3.9" and python_version < "4.0"
-platformdirs==3.5.0 ; python_version >= "3.9" and python_version < "4.0"
-pluggy==1.0.0 ; python_version >= "3.9" and python_version < "4.0"
-pprintpp==0.4.0 ; python_version >= "3.9" and python_version < "4.0"
-prompt-toolkit==3.0.38 ; python_version >= "3.9" and python_version < "4.0"
-ptyprocess==0.7.0 ; python_version >= "3.9" and python_version < "4.0" and sys_platform != "win32"
-pure-eval==0.2.2 ; python_version >= "3.9" and python_version < "4.0"
-pyarrow==11.0.0 ; python_version >= "3.9" and python_version < "4.0"
-pycodestyle==2.10.0 ; python_version >= "3.9" and python_version < "4.0"
-pycountry @ git+https://github.com/alanorth/pycountry@iso-codes-4.13.0 ; python_version >= "3.9" and python_version < "4.0"
-pyflakes==3.0.1 ; python_version >= "3.9" and python_version < "4.0"
-pygments==2.15.1 ; python_version >= "3.9" and python_version < "4.0"
-pytest-clarity==1.0.1 ; python_version >= "3.9" and python_version < "4.0"
-pytest==7.3.1 ; python_version >= "3.9" and python_version < "4.0"
-python-dateutil==2.8.2 ; python_version >= "3.9" and python_version < "4.0"
-python-slugify==8.0.1 ; python_version >= "3.9" and python_version < "4.0"
-python-stdnum==1.18 ; python_version >= "3.9" and python_version < "4.0"
-pytimeparse==1.1.8 ; python_version >= "3.9" and python_version < "4.0"
-pytz==2023.3 ; python_version >= "3.9" and python_version < "4.0"
-requests-cache==0.9.8 ; python_version >= "3.9" and python_version < "4.0"
-requests==2.29.0 ; python_version >= "3.9" and python_version < "4.0"
-rich==13.3.5 ; python_version >= "3.9" and python_version < "4.0"
-six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
-sqlalchemy==1.4.48 ; python_version >= "3.9" and python_version < "4.0"
-stack-data==0.6.2 ; python_version >= "3.9" and python_version < "4.0"
-text-unidecode==1.3 ; python_version >= "3.9" and python_version < "4.0"
-tomli==2.0.1 ; python_version >= "3.9" and python_version < "3.11"
-traitlets==5.9.0 ; python_version >= "3.9" and python_version < "4.0"
-typing-extensions==4.5.0 ; python_version >= "3.9" and python_version < "3.10"
-tzdata==2023.3 ; python_version >= "3.9" and python_version < "4.0"
-url-normalize==1.4.3 ; python_version >= "3.9" and python_version < "4.0"
-urllib3==1.26.15 ; python_version >= "3.9" and python_version < "4.0"
-wcwidth==0.2.6 ; python_version >= "3.9" and python_version < "4"
-xlrd==2.0.1 ; python_version >= "3.9" and python_version < "4.0"

requirements.txt

@@ -1,25 +1,356 @@
-appdirs==1.4.4 ; python_version >= "3.9" and python_version < "4.0"
+# This file was autogenerated by uv via the following command:
-attrs==23.1.0 ; python_version >= "3.9" and python_version < "4.0"
+#    uv export --no-dev
-cattrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
+-e .
-certifi==2022.12.7 ; python_version >= "3.9" and python_version < "4.0"
+attrs==25.1.0 \
-charset-normalizer==3.1.0 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e \
-colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a
-country-converter==1.0.0 ; python_version >= "3.9" and python_version < "4.0"
+bottleneck==1.4.2 \
-exceptiongroup==1.1.1 ; python_version >= "3.9" and python_version < "3.11"
+    --hash=sha256:037315c56605128a39f77d19af6a6019dc8c21a63694a4bfef3c026ed963be2e \
-ftfy==6.1.1 ; python_version >= "3.9" and python_version < "4"
+    --hash=sha256:070d22f2f62ab81297380a89492cca931e4d9443fa4b84c2baeb52db09c3b1b4 \
-idna==3.4 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:122845e3106c85465551d4a9a3777841347cfedfbebb3aa985cca110e07030b1 \
-langid==1.1.6 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:125436df93751a226eab1732783aa8f6125e88e779587aa61be071fb66e41f9d \
-numpy==1.24.3 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:1f61658ebdf5a178298544336b65020730bf86cc092dab5f6579a99a86bd888b \
-pandas==2.0.1 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:1fc4e7645bd425c05e05acd5541e9e09cb4179e71164e862f082561bf4509eac \
-pyarrow==11.0.0 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:26b5f0531f7044befaad95c20365dd666372e66bdacbfaf009ff65d60285534d \
-pycountry @ git+https://github.com/alanorth/pycountry@iso-codes-4.13.0 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:2c9dbaf737b605b30c81611f2c1d197c2fd2e46c33f605876c1d332d3360c4fc \
-python-dateutil==2.8.2 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:2db287f6ecdbb1c998085eca9b717fec2bfc48a4ab6ae070a9820ba8ab59c90b \
-python-stdnum==1.18 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:2e2fe327dc2d0564e295a5857a252755103f8c6e05b07d3ff80a69afaa9f5065 \
-pytz==2023.3 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:48c6b9d9287c4102b803fcb01ae66ae7ef6b310b711b4b7b7e23bf952894dc05 \
-requests-cache==0.9.8 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:4c6df9a60ec6ab88fec934ca864266ba95edd89c490af71dc9cd8afb2a54ebd9 \
-requests==2.29.0 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:6282fa925ac3768f66e3547f89a512376d3f9de7ef53bdd37aa29232fd864054 \
-six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:6b7790ca8658cd69e3cc0d0e4ff0e9829d60849bf7945fbd7344fbce05b2bbb8 \
-tzdata==2023.3 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:7363b3c8ce6ca433779cd7e96bcb94c0e516dcacadff0011adcbf0b3ac86bc9d \
-url-normalize==1.4.3 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:7c7d29c044a3511b36fd744503c3e697e279c273a8477a6d91a2831d04fd19e0 \
-urllib3==1.26.15 ; python_version >= "3.9" and python_version < "4.0"
+    --hash=sha256:7ebbcbe5d4062e37507b9a81e2aacdb1fcccc6193f7feff124ef2b5a6a5eb740 \
-wcwidth==0.2.6 ; python_version >= "3.9" and python_version < "4"
+    --hash=sha256:89651ef18c06616850203bf8875c958c5d316ea48d8ba60d9b450199d39ae391 \
+    --hash=sha256:964f6ac4118ddab3bbbac79d4f726b093459be751baba73ee0aa364666e8068e \
+    --hash=sha256:99778329331d5fae8df19772a019e8b73ba4d9d1650f110cd995ab7657114db0 \
+    --hash=sha256:a74ddd0417f42eeaba37375f0fc065b28451e0fba45cb2f99e88880b10b3fa43 \
+    --hash=sha256:b6902ebf3e85315b481bc084f10c5770f8240275ad1e039ac69c7c8d2013b040 \
+    --hash=sha256:c1c885ad02a6a8fa1f7ee9099f29b9d4c03eb1da2c7ab25839482d5cce739021 \
+    --hash=sha256:c2fd34b9b490204f95288f0dd35d37042486a95029617246c88c0f94a0ab49fe \
+    --hash=sha256:c663cbba8f52011fd82ee08c6a85c93b34b19e0e7ebba322d2d67809f34e0597 \
+    --hash=sha256:e56a206fbf48e3b8054a964398bf1ed843e9625d3c6bdbeb7898cb48bf97441b \
+    --hash=sha256:e7a1b023de1de3d84b18826462718fba548fed41870df44354f9ab6a414ea82f \
+    --hash=sha256:eb0c611d15b0fd8f511d288e8964e4725b4b3b0d9d310880cf0ff6b8dd03c859 \
+    --hash=sha256:fa8e8e1799dea5483ce6669462660f9d9a95649f6f98a80d315b84ec89f449f4
+cattrs==24.1.2 \
+    --hash=sha256:67c7495b760168d931a10233f979b28dc04daf853b30752246f4f8471c6d68d0 \
+    --hash=sha256:8028cfe1ff5382df59dd36474a86e02d817b06eaf8af84555441bac915d2ef85
+certifi==2024.12.14 \
+    --hash=sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56 \
+    --hash=sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db
+charset-normalizer==3.4.1 \
+    --hash=sha256:0924e81d3d5e70f8126529951dac65c1010cdf117bb75eb02dd12339b57749dd \
+    --hash=sha256:09b26ae6b1abf0d27570633b2b078a2a20419c99d66fb2823173d73f188ce601 \
+    --hash=sha256:09b5e6733cbd160dcc09589227187e242a30a49ca5cefa5a7edd3f9d19ed53fd \
+    --hash=sha256:0f55e69f030f7163dffe9fd0752b32f070566451afe180f99dbeeb81f511ad8d \
+    --hash=sha256:22e14b5d70560b8dd51ec22863f370d1e595ac3d024cb8ad7d308b4cd95f8313 \
+    --hash=sha256:234ac59ea147c59ee4da87a0c0f098e9c8d169f4dc2a159ef720f1a61bbe27cd \
+    --hash=sha256:2369eea1ee4a7610a860d88f268eb39b95cb588acd7235e02fd5a5601773d4fa \
+    --hash=sha256:237bdbe6159cff53b4f24f397d43c6336c6b0b42affbe857970cefbb620911c8 \
+    --hash=sha256:28bf57629c75e810b6ae989f03c0828d64d6b26a5e205535585f96093e405ed1 \
+    --hash=sha256:2967f74ad52c3b98de4c3b32e1a44e32975e008a9cd2a8cc8966d6a5218c5cb2 \
+    --hash=sha256:2bdfe3ac2e1bbe5b59a1a63721eb3b95fc9b6817ae4a46debbb4e11f6232428d \
+    --hash=sha256:2d074908e1aecee37a7635990b2c6d504cd4766c7bc9fc86d63f9c09af3fa11b \
+    --hash=sha256:3a3bd0dcd373514dcec91c411ddb9632c0d7d92aed7093b8c3bbb6d69ca74408 \
+    --hash=sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3 \
+    --hash=sha256:44ecbf16649486d4aebafeaa7ec4c9fed8b88101f4dd612dcaf65d5e815f837f \
+    --hash=sha256:4532bff1b8421fd0a320463030c7520f56a79c9024a4e88f01c537316019005a \
+    --hash=sha256:4d86f7aff21ee58f26dcf5ae81a9addbd914115cdebcbb2217e4f0ed8982e146 \
+    --hash=sha256:5777ee0881f9499ed0f71cc82cf873d9a0ca8af166dfa0af8ec4e675b7df48e6 \
+    --hash=sha256:5df196eb874dae23dcfb968c83d4f8fdccb333330fe1fc278ac5ceeb101003a9 \
+    --hash=sha256:6ff8a4a60c227ad87030d76e99cd1698345d4491638dfa6673027c48b3cd395f \
+    --hash=sha256:73d94b58ec7fecbc7366247d3b0b10a21681004153238750bb67bd9012414545 \
+    --hash=sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176 \
+    --hash=sha256:804a4d582ba6e5b747c625bf1255e6b1507465494a40a2130978bda7b932c90b \
+    --hash=sha256:80ed5e856eb7f30115aaf94e4a08114ccc8813e6ed1b5efa74f9f82e8509858f \
+    --hash=sha256:8417cb1f36cc0bc7eaba8ccb0e04d55f0ee52df06df3ad55259b9a323555fc8b \
+    --hash=sha256:8436c508b408b82d87dc5f62496973a1805cd46727c34440b0d29d8a2f50a6c9 \
+    --hash=sha256:8bfa33f4f2672964266e940dd22a195989ba31669bd84629f05fab3ef4e2d125 \
+    --hash=sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de \
+    --hash=sha256:955f8851919303c92343d2f66165294848d57e9bba6cf6e3625485a70a038d11 \
+    --hash=sha256:9b23ca7ef998bc739bf6ffc077c2116917eabcc901f88da1b9856b210ef63f35 \
+    --hash=sha256:9f0b8b1c6d84c8034a44893aba5e767bf9c7a211e313a9605d9c617d7083829f \
+    --hash=sha256:aabfa34badd18f1da5ec1bc2715cadc8dca465868a4e73a0173466b688f29dda \
+    --hash=sha256:b010a7a4fd316c3c484d482922d13044979e78d1861f0e0650423144c616a46a \
+    --hash=sha256:b1ac5992a838106edb89654e0aebfc24f5848ae2547d22c2c3f66454daa11971 \
+    --hash=sha256:bc2722592d8998c870fa4e290c2eec2c1569b87fe58618e67d38b4665dfa680d \
+    --hash=sha256:c0429126cf75e16c4f0ad00ee0eae4242dc652290f940152ca8c75c3a4b6ee8f \
+    --hash=sha256:c30197aa96e8eed02200a83fba2657b4c3acd0f0aa4bdc9f6c1af8e8962e0757 \
+    --hash=sha256:c4c3e6da02df6fa1410a7680bd3f63d4f710232d3139089536310d027950696a \
+    --hash=sha256:c75cb2a3e389853835e84a2d8fb2b81a10645b503eca9bcb98df6b5a43eb8886 \
+    --hash=sha256:c96836c97b1238e9c9e3fe90844c947d5afbf4f4c92762679acfe19927d81d77 \
+    --hash=sha256:d7f50a1f8c450f3925cb367d011448c39239bb3eb4117c36a6d354794de4ce76 \
+    --hash=sha256:d973f03c0cb71c5ed99037b870f2be986c3c05e63622c017ea9816881d2dd247 \
+    --hash=sha256:d98b1668f06378c6dbefec3b92299716b931cd4e6061f3c875a71ced1780ab85 \
+    --hash=sha256:d9c3cdf5390dcd29aa8056d13e8e99526cda0305acc038b96b30352aff5ff2bb \
+    --hash=sha256:dad3e487649f498dd991eeb901125411559b22e8d7ab25d3aeb1af367df5efd7 \
+    --hash=sha256:e218488cd232553829be0664c2292d3af2eeeb94b32bea483cf79ac6a694e037 \
+    --hash=sha256:e358e64305fe12299a08e08978f51fc21fac060dcfcddd95453eabe5b93ed0e1 \
+    --hash=sha256:eab677309cdb30d047996b36d34caeda1dc91149e4fdca0b1a039b3f79d9a807 \
+    --hash=sha256:eb8178fe3dba6450a3e024e95ac49ed3400e506fd4e9e5c32d30adda88cbd407 \
+    --hash=sha256:eea6ee1db730b3483adf394ea72f808b6e18cf3cb6454b4d86e04fa8c4327a12 \
+    --hash=sha256:f08ff5e948271dc7e18a35641d2f11a4cd8dfd5634f55228b691e62b37125eb3 \
+    --hash=sha256:fa88b843d6e211393a37219e6a1c1df99d35e8fd90446f1118f4216e307e48cd \
+    --hash=sha256:fd4ec41f914fa74ad1b8304bbc634b3de73d2a0889bd32076342a573e0779e00 \
+    --hash=sha256:ffc9202a29ab3920fa812879e95a9e78b2465fd10be7fcbd042899695d75e616
+colorama==0.4.6 \
+    --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
+    --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
+country-converter==1.3 \
+    --hash=sha256:006958c83adeada455d2f178921fdd051def736259ff250fada912eaf3ca8cf1 \
+    --hash=sha256:f6a1a14d1f98112ca90a5198f645f4e60bb73840e98f3f733893ff5b617c2f38
+exceptiongroup==1.2.2 ; python_full_version < '3.11' \
+    --hash=sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b \
+    --hash=sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc
+ftfy==6.3.1 \
+    --hash=sha256:7c70eb532015cd2f9adb53f101fb6c7945988d023a085d127d1573dc49dd0083 \
+    --hash=sha256:9b3c3d90f84fb267fe64d375a07b7f8912d817cf86009ae134aa03e1819506ec
+idna==3.10 \
+    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
+    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
+llvmlite==0.44.0 \
+    --hash=sha256:07667d66a5d150abed9157ab6c0b9393c9356f229784a4385c02f99e94fc94d4 \
+    --hash=sha256:1d671a56acf725bf1b531d5ef76b86660a5ab8ef19bb6a46064a705c6ca80aad \
+    --hash=sha256:2fb7c4f2fb86cbae6dca3db9ab203eeea0e22d73b99bc2341cdf9de93612e930 \
+    --hash=sha256:319bddd44e5f71ae2689859b7203080716448a3cd1128fb144fe5c055219d516 \
+    --hash=sha256:40526fb5e313d7b96bda4cbb2c85cd5374e04d80732dd36a282d72a560bb6408 \
+    --hash=sha256:41e3839150db4330e1b2716c0be3b5c4672525b4c9005e17c7597f835f351ce2 \
+    --hash=sha256:46224058b13c96af1365290bdfebe9a6264ae62fb79b2b55693deed11657a8bf \
+    --hash=sha256:5f79a728e0435493611c9f405168682bb75ffd1fbe6fc360733b850c80a026db \
+    --hash=sha256:7202b678cdf904823c764ee0fe2dfe38a76981f4c1e51715b4cb5abb6cf1d9e8 \
+    --hash=sha256:9c58867118bad04a0bb22a2e0068c693719658105e40009ffe95c7000fcde88e \
+    --hash=sha256:9fbadbfba8422123bab5535b293da1cf72f9f478a65645ecd73e781f962ca614 \
+    --hash=sha256:aa0097052c32bf721a4efc03bd109d335dfa57d9bffb3d4c24cc680711b8b4fc \
+    --hash=sha256:ace564d9fa44bb91eb6e6d8e7754977783c68e90a471ea7ce913bff30bd62427 \
+    --hash=sha256:c0143a5ef336da14deaa8ec26c5449ad5b6a2b564df82fcef4be040b9cacfea9 \
+    --hash=sha256:c5d22c3bfc842668168a786af4205ec8e3ad29fb1bc03fd11fd48460d0df64c1 \
+    --hash=sha256:cccf8eb28f24840f2689fb1a45f9c0f7e582dd24e088dcf96e424834af11f791 \
+    --hash=sha256:d752f89e31b66db6f8da06df8b39f9b91e78c5feea1bf9e8c1fba1d1c24c065d \
+    --hash=sha256:d8489634d43c20cd0ad71330dde1d5bc7b9966937a263ff1ec1cebb90dc50955 \
+    --hash=sha256:eae7e2d4ca8f88f89d315b48c6b741dcb925d6a1042da694aa16ab3dd4cbd3a1 \
+    --hash=sha256:eed7d5f29136bda63b6d7804c279e2b72e08c952b7c5df61f45db408e0ee52f3 \
+    --hash=sha256:f01a394e9c9b7b1d4e63c327b096d10f6f0ed149ef53d38a09b3749dcf8c9610
+numba==0.61.0 \
+    --hash=sha256:074cd38c5b1f9c65a4319d1f3928165f48975ef0537ad43385b2bd908e6e2e35 \
+    --hash=sha256:0ebbd4827091384ab8c4615ba1b3ca8bc639a3a000157d9c37ba85d34cd0da1b \
+    --hash=sha256:152146ecdbb8d8176f294e9f755411e6f270103a11c3ff50cecc413f794e52c8 \
+    --hash=sha256:21c2fe25019267a608e2710a6a947f557486b4b0478b02e45a81cf606a05a7d4 \
+    --hash=sha256:43aa4d7d10c542d3c78106b8481e0cbaaec788c39ee8e3d7901682748ffdf0b4 \
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+    --hash=sha256:b34d3bde38eba66190b215bae441646330f8e9da05c29e4b5dd3e41bde701098 \
+    --hash=sha256:b903afaa5df66d50fc38672ad095806443b05f202c792694f3a604ead7c6ea6e \
+    --hash=sha256:be686bf625aa7b9bada18defb3a3ea3981c1099697239788ff111d87f04cd263 \
+    --hash=sha256:c318eda14f6627966997a7d8c374a87d084a94e4e38e9abbe97395c215830e0c \
+    --hash=sha256:c3b78eff5968a1889a0f3bc81ca57e1e19b75f664d9c61a42a604bf9d8402aae \
+    --hash=sha256:c751c1c93955b7a84c06794df46f1cec93e18610dcd5ab7d08e89a81df70a849 \
+    --hash=sha256:ce42275097512d9e4e4a39aade58ef2b3798a93aa3026566b7892177c266f735 \
+    --hash=sha256:cf3bf0ce511b833f7bc5f5bb3127ba731e97222023a444b7359f3a22e2a3b463 \
+    --hash=sha256:e675a3ad4732b92d72e4d24009707e923cab76b0d088e5054914f11a797ebe44 \
+    --hash=sha256:e82c3d5e44e969c217827b780ed8faf7ac4c53f934ae9238872e749fa531f7c9 \
+    --hash=sha256:f094742275586cdd6b1a03655ccff3b24b2610c3af76f810356c4c71d24a2a6c \
+    --hash=sha256:f208c3b58a6df3b239e0bb130e13bc7487ed14f39a9ff357b6415e3f6339b560 \
+    --hash=sha256:f43f5aef2a13d4d56adadae5720d1fed4c1356c993eda8b59dace4b5983843c1
+pycountry==24.6.1 \
+    --hash=sha256:b61b3faccea67f87d10c1f2b0fc0be714409e8fcdcc1315613174f6466c10221 \
+    --hash=sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f
+python-dateutil==2.9.0.post0 \
+    --hash=sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3 \
+    --hash=sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427
+python-stdnum==1.20 \
+    --hash=sha256:111008e10391d54fb2afad2a10df70d5cb0c6c0a7ec82fec6f022cb8712961d3 \
+    --hash=sha256:ad2a2cf2eb025de408210235f36b4ae31252de3186240ccaa8126e117cb82690
+pytz==2024.2 \
+    --hash=sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a \
+    --hash=sha256:31c7c1817eb7fae7ca4b8c7ee50c72f93aa2dd863de768e1ef4245d426aa0725
+requests==2.32.3 \
+    --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \
+    --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6
+requests-cache==1.2.1 \
+    --hash=sha256:1285151cddf5331067baa82598afe2d47c7495a1334bfe7a7d329b43e9fd3603 \
+    --hash=sha256:68abc986fdc5b8d0911318fbb5f7c80eebcd4d01bfacc6685ecf8876052511d1
+six==1.17.0 \
+    --hash=sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274 \
+    --hash=sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81
+typing-extensions==4.12.2 ; python_full_version < '3.11' \
+    --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \
+    --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8
+tzdata==2025.1 \
+    --hash=sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694 \
+    --hash=sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639
+url-normalize==1.4.3 \
+    --hash=sha256:d23d3a070ac52a67b83a1c59a0e68f8608d1cd538783b401bc9de2c0fac999b2 \
+    --hash=sha256:ec3c301f04e5bb676d333a7fa162fa977ad2ca04b7e652bfc9fac4e405728eed
+urllib3==2.3.0 \
+    --hash=sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df \
+    --hash=sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d
+wcwidth==0.2.13 \
+    --hash=sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 \
+    --hash=sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5

tests/test_check.py

@@ -257,7 +257,7 @@ def test_check_incorrect_iso_639_1_language(capsys):
 
     title = "A randomised vaccine field trial in Kenya demonstrates protection against wildebeest-associated malignant catarrhal fever in cattle"
     language = "es"
-    exclude = list()
+    exclude = []
 
     # Create a dictionary to mimic Pandas series
     row = {"dc.title": title, "dc.language.iso": language}
@@ -277,7 +277,7 @@ def test_check_incorrect_iso_639_3_language(capsys):
 
     title = "A randomised vaccine field trial in Kenya demonstrates protection against wildebeest-associated malignant catarrhal fever in cattle"
     language = "spa"
-    exclude = list()
+    exclude = []
 
     # Create a dictionary to mimic Pandas series
     row = {"dc.title": title, "dc.language.iso": language}
@@ -297,7 +297,7 @@ def test_check_correct_iso_639_1_language():
 
     title = "A randomised vaccine field trial in Kenya demonstrates protection against wildebeest-associated malignant catarrhal fever in cattle"
     language = "en"
-    exclude = list()
+    exclude = []
 
     # Create a dictionary to mimic Pandas series
     row = {"dc.title": title, "dc.language.iso": language}
@@ -313,7 +313,7 @@ def test_check_correct_iso_639_3_language():
 
     title = "A randomised vaccine field trial in Kenya demonstrates protection against wildebeest-associated malignant catarrhal fever in cattle"
     language = "eng"
-    exclude = list()
+    exclude = []
 
     # Create a dictionary to mimic Pandas series
     row = {"dc.title": title, "dc.language.iso": language}
@@ -407,7 +407,7 @@ def test_check_doi_field():
     # the citation and a DOI field.
     d = {"cg.identifier.doi": doi, "dcterms.bibliographicCitation": citation}
     series = pd.Series(data=d)
-    exclude = list()
+    exclude = []
 
     result = check.citation_doi(series, exclude)
 
@@ -418,7 +418,7 @@ def test_check_doi_only_in_citation(capsys):
     """Test an item with a DOI in its citation, but no DOI field."""
 
     citation = "Orth, A. 2021. Testing all the things. doi: 10.1186/1743-422X-9-218"
-    exclude = list()
+    exclude = []
 
     # Emulate a column in a transposed dataframe (which is just a series), with
     # an empty DOI field and a citation containing a DOI.
@@ -439,7 +439,7 @@ def test_title_in_citation():
 
     title = "Testing all the things"
     citation = "Orth, A. 2021. Testing all the things."
-    exclude = list()
+    exclude = []
 
     # Emulate a column in a transposed dataframe (which is just a series), with
     # the title and citation.
@@ -456,7 +456,7 @@ def test_title_not_in_citation(capsys):
 
     title = "Testing all the things"
     citation = "Orth, A. 2021. Testing all teh things."
-    exclude = list()
+    exclude = []
 
     # Emulate a column in a transposed dataframe (which is just a series), with
     # the title and citation.
@@ -477,7 +477,7 @@ def test_country_matches_region():
 
     country = "Kenya"
     region = "Eastern Africa"
-    exclude = list()
+    exclude = []
 
     # Emulate a column in a transposed dataframe (which is just a series)
     d = {"cg.coverage.country": country, "cg.coverage.region": region}
@@ -495,7 +495,7 @@ def test_country_not_matching_region(capsys):
     country = "Kenya"
     region = ""
     missing_region = "Eastern Africa"
-    exclude = list()
+    exclude = []
 
     # Emulate a column in a transposed dataframe (which is just a series)
     d = {

tests/test_fix.py

@@ -131,7 +131,7 @@ def test_fix_country_not_matching_region():
     country = "Kenya"
     region = ""
     missing_region = "Eastern Africa"
-    exclude = list()
+    exclude = []
 
     # Emulate a column in a transposed dataframe (which is just a series)
     d = {
@@ -152,3 +152,11 @@ def test_fix_country_not_matching_region():
     series_correct = pd.Series(data=d_correct)
 
     pd.testing.assert_series_equal(result, series_correct)
+
+
+def test_fix_normalize_dois():
+    """Test normalizing a DOI."""
+
+    value = "doi: 10.11648/j.jps.20140201.14"
+
+    assert fix.normalize_dois(value) == "https://doi.org/10.11648/j.jps.20140201.14"