Add CLI as strava_py

README.md

@@ -27,7 +27,7 @@ The process for downloading data is described on the Strava website here: [https
 
 ### Process the data
 
-The main function for importing and processing activity files expects a path to a directory of unzipped GPX and / or FIT files. If required, the [fit2gpx](https://github.com/dodo-saba/fit2gpx) package provides useful tools for pre-processing bulk files exported from Stava, e.g. unzipping activity files (see Use Case 3: Strava Bulk Export Tools).
+The main function for importing and processing activity files expects a path to a directory of unzipped GPX and / or FIT files. If required, the [fit2gpx](https://github.com/dodo-saba/fit2gpx) package provides useful tools for pre-processing bulk files exported from Strava, e.g. unzipping activity files (see Use Case 3: Strava Bulk Export Tools).
 
 ```python
 df = process_data(<path to folder with GPX and / or FIT files>)

setup.cfg

@@ -0,0 +1,50 @@
+[metadata]
+name = strava_py
+version = 0.0.1
+description = Create artistic visualisations with your exercise data
+long_description = file: README.md
+long_description_content_type = text/markdown
+url = https://github.com/marcusvolz/strava_py
+author = Marcus Volz
+license = MIT
+license_file = LICENSE
+classifiers =
+    Development Status :: 3 - Alpha
+    License :: OSI Approved :: MIT License
+    Programming Language :: Python :: 3
+    Programming Language :: Python :: 3 :: Only
+    Programming Language :: Python :: 3.7
+    Programming Language :: Python :: 3.8
+    Programming Language :: Python :: 3.9
+    Programming Language :: Python :: 3.10
+    Topic :: Artistic Software
+    Topic :: Multimedia :: Graphics
+    Topic :: Scientific/Engineering :: Visualization
+keywords =
+    strava
+    artistic visualisations
+    artistic
+    visualisation
+    exercise data
+    exercise
+project_urls =
+    Source=https://github.com/marcusvolz/strava_py
+
+[options]
+packages = find:
+install_requires =
+    fit2gpx
+    gpxpy
+    matplotlib
+    pandas
+    seaborn
+python_requires = >=3.7
+package_dir = =src
+zip_safe = True
+
+[options.packages.find]
+where = src
+
+[options.entry_points]
+console_scripts =
+    strava_py = strava_py.cli:main

setup.py

@@ -0,0 +1,3 @@
+from setuptools import setup
+
+setup()

src/strava_py/__main__.py

@@ -0,0 +1,4 @@
+from strava_py import cli
+
+if __name__ == "__main__":
+    cli.main()

src/strava_py/cli.py

@@ -0,0 +1,28 @@
+import argparse
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter
+    )
+    parser.add_argument("path", help="Input path to folder with GPX and / or FIT files")
+    parser.add_argument(
+        "-o", "--output_file", default="plot.png", help="Output PNG file"
+    )
+    args = parser.parse_args()
+
+    # Normally imports go at the top, but scientific libraries can be slow to import
+    # so let's validate arguments first
+    from strava_py.plot_facets import plot_facets
+    from strava_py.process_data import process_data
+
+    print("Processing data...")
+    df = process_data(args.path)
+
+    print("Plotting facets...")
+    plot_facets(df, output_file=args.output_file)
+    print(f"Saved to {args.output_file}")
+
+
+if __name__ == "__main__":
+    main()