38 changed files with 38 additions and 599 deletions
--- a/.gitattributes
+++ b/.gitattributes
@ -3,5 +3,3 @@
 CHANGELOG.md annex.largefiles=nothing
 README.md annex.largefiles=nothing
 justfile annex.largefiles=nothing
-.python-version annex.largefiles=nothing
-pyproject.toml annex.largefiles=nothing
--- a/.gitignore
+++ b/.gitignore
@ -1,211 +0,0 @@
-# Created by https://www.toptal.com/developers/gitignore/api/python,linux,vim
-# Edit at https://www.toptal.com/developers/gitignore?templates=python,linux,vim
-
-### Linux ###
-*~
-
-# temporary files which can be created if a process still has a handle open of a deleted file
-.fuse_hidden*
-
-# KDE directory preferences
-.directory
-
-# Linux trash folder which might appear on any partition or disk
-.Trash-*
-
-# .nfs files are created when an open file is removed but is still being accessed
-.nfs*
-
-### Python ###
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
-
-### Python Patch ###
-# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
-poetry.toml
-
-# ruff
-.ruff_cache/
-
-# LSP config files
-pyrightconfig.json
-
-### Vim ###
-# Swap
-[._]*.s[a-v][a-z]
-!*.svg  # comment out if you don't need vector files
-[._]*.sw[a-p]
-[._]s[a-rt-v][a-z]
-[._]ss[a-gi-z]
-[._]sw[a-p]
-
-# Session
-Session.vim
-Sessionx.vim
-
-# Temporary
-.netrwhist
-# Auto-generated tag files
-tags
-# Persistent undo
-[._]*.un~
-
-# End of https://www.toptal.com/developers/gitignore/api/python,linux,vim
--- a/.python-version
+++ b/.python-version
@ -1 +0,0 @@
-3.12
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@ -1,10 +0,0 @@
-# CHANGELOG
-
-## 2025-09-30
-
- Clean output data until 2025-09-24
- Removal of 0-byte empty raw data files
-
-## 2025-09-29
-
- Dirty output data until 2025-09-25
--- a/README.md
+++ b/README.md
@ -1,57 +1,7 @@
-# Project Popcorn Voidlinux
-
-Contains the gathered data of the <https://popcorn.voidlinux.org> statistics collection for all
-available dates (2025-09-24 as of today) in easier to work with CSV form.
-
-Data can be cleaned and processed with the available code.
-Any action can easily be started using [`just`](https://github.com/casey/just) with the available `justfile`.
+# Project <insert name>

 ## Dataset structure

- All inputs (i.e. building blocks from other sources) are located in `input/`.
- All custom code is located in `src/`.
- All final output data is located in `output/`
-
-## Output data structure
-
-### Files
-
-Represents information about the individual JSON files available in the raw dataset.
-
-Contained in `files.csv`, 4 columns:
-
- `date`: the date a specific file is relevant for
- `filename`: the full filename as it exists in the `input/` directory
- `mtime`: the last modification time of the file on the system
- `filesize`: the size of the file, in bytes
-
-### Kernels
-
-Represents information about the kernel versions represented in the raw dataset.
-
-Contained in `kernels.csv`, 3 columns:
-
- `date`: the date a specific file is relevant for
- `kernel`: the full kernel name that is available in the raw data, including major version, minor
-          version and suffix
- `downloads`: the amount of times the kernel has been seen on the observation date
-
-### Packages
-
-Represents information about the package versions represented in the raw dataset.
-
-Contained in `packages.csv`, 4 columns:
-
- `date`: the date a specific file is relevant for
- `package`: the full package name as it is available in the raw data
- `version`: the full package version as it is available in the raw data
- `count`: the amount of times the package and version combination has been seen on the observation date
-
-### Unique installs
-
-Represents information about the unique system installations represented in the raw dataset.
-
-Contained in `unique_installs.csv`, 2 columns:
-
- `date`: the date a specific file is relevant for
- `unique`: the amount of unique installations counted on the observation date
+- All inputs (i.e. building blocks from other sources) are located in
+  `inputs/`.
+- All custom code is located in `code/`.
--- a/code/.gitattributes
+++ b/code/.gitattributes
--- a/code/README.md
+++ b/code/README.md
@ -0,0 +1,3 @@
+All custom code goes into this directory. All scripts should be written such
+that they can be executed from the root of the dataset, and are only using
+relative paths for portability.
--- a/code/files.py
+++ b/code/files.py
@ -1,4 +1,6 @@
 import csv
+from collections.abc import Generator
+from datetime import datetime
 from pathlib import Path


@ -27,6 +29,7 @@ def main(input: str, output: str) -> None:
    input_dir = Path(input)
    output_dir = Path(output)
    ensure_dirs(input_dir, output_dir)
+
    filesize_csv(input_dir, output_dir)


--- a/code/kernels.py
+++ b/code/kernels.py
@ -1,5 +1,7 @@
 import csv
 import json
+from collections.abc import Generator
+from datetime import datetime
 from pathlib import Path
 from typing import Any, cast

@ -31,6 +33,7 @@ def package_kernel_csv(input_dir: Path, output_dir: Path) -> None:
                    p_count = cast(int, data["XuKernel"][entry])
                    p_date = date
                    writer.writerow([p_date, p_name, p_count])
+                    # print(output_file, p_date, p_name, p_count)


 def ensure_dirs(input_dir: Path, output_dir: Path):
@ -43,6 +46,9 @@ def main(input: str, output: str) -> None:
    input_dir = Path(input)
    output_dir = Path(output)
    ensure_dirs(input_dir, output_dir)
+    # json_to_daily_pkg(Path(input) / "daily", Path(output) / "daily", force=True)
+    # json_to_unique_csv(Path(input) / "daily", Path(output), force=True)
+
    package_kernel_csv(input_dir, output_dir)


--- a/code/packages.py
+++ b/code/packages.py
--- a/code/unique.py
+++ b/code/unique.py
--- a/input/2018-11-07.json
+++ b/input/2018-11-07.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2018-11-09.json
+++ b/input/2018-11-09.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2019-01-21.json
+++ b/input/2019-01-21.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2019-01-23.json
+++ b/input/2019-01-23.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2019-01-28.json
+++ b/input/2019-01-28.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2019-01-30.json
+++ b/input/2019-01-30.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2019-01-31.json
+++ b/input/2019-01-31.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2019-07-06.json
+++ b/input/2019-07-06.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2022-06-15.json
+++ b/input/2022-06-15.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2024-07-03.json
+++ b/input/2024-07-03.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2025-01-15.json
+++ b/input/2025-01-15.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2025-01-22.json
+++ b/input/2025-01-22.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2025-03-13.json
+++ b/input/2025-03-13.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2025-05-26.json
+++ b/input/2025-05-26.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2025-07-28.json
+++ b/input/2025-07-28.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/input/2025-09-25.json
+++ b/input/2025-09-25.json
@ -0,0 +1 @@
+../.git/annex/objects/fm/24/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json/MD5E-s0--d41d8cd98f00b204e9800998ecf8427e.json
--- a/20
+++ b/20
@ -1,23 +1,13 @@
-default: versioned validate
-
-all: files kernels unique packages
+default: files kernels unique packages

 files:
-    python src/files.py input output
+    python code/files.py input output

 kernels:
-    python src/kernels.py input output
+    python code/kernels.py input output

 unique:
-    python src/unique.py input output
+    python code/unique.py input output

 packages:
-    python src/packages.py input output
-
-versioned:
-    datalad run -m "Create updated output data" -i "input/*.json" -o "output/*.csv" just all
-    printf "\n## %s\n\n- auto generated\n" $(date +%F) | sed -i '/CHANGELOG/r /dev/stdin' CHANGELOG.md
-
-# requires python dependencies, thus to be running in venv
-validate:
-    uv run pytest
+    python code/packages.py input output
--- a/output/files.csv
+++ b/output/files.csv
@ -1 +1 @@
-../.git/annex/objects/5g/QF/MD5E-s143687--a8cd063146eb3003968900a3b7aff0e8.csv/MD5E-s143687--a8cd063146eb3003968900a3b7aff0e8.csv
+../.git/annex/objects/84/5J/MD5E-s144471--7ffa8c5e2554bd2017ec2b3efd79e61d.csv/MD5E-s144471--7ffa8c5e2554bd2017ec2b3efd79e61d.csv
--- a/pyproject.toml
+++ b/pyproject.toml
@ -1,13 +0,0 @@
-[project]
-name = "popcorn-dataset"
-version = "0.1.0"
-description = "A full CSV representation of the Voidlinux popcorn data"
-readme = "README.md"
-requires-python = ">=3.12"
-dependencies = []
-
-[dependency-groups]
-dev = [
-    "dataframely>=1.13.0",
-    "pytest>=8.4.2",
-]
--- a/src/README.md
+++ b/src/README.md
@ -1,12 +0,0 @@
-# Popcorn dataset code
-
-Each script can be run stand-alone like `python src/files.py <input-dir> <output-dir>`,
-exchanging the script file for the one intended.
-
-It is suggested, however, to run the scripts using the `just` command runner from the
-dataset root, such as `just files` for the same effect as above.
-This will automatically populate the correct input and output directories.
-
-To create new `datalad` versioned output data, run `just versioned` or `just` without any arguments.
-A new commit containing the updated data will be created,
-and an automatic entry in the CHANGELOG made.
--- a/src/tests/init.py
+++ b/src/tests/init.py
--- a/src/tests/test_validate_date_col.py
+++ b/src/tests/test_validate_date_col.py
@ -1,10 +0,0 @@
-import dataframely as dy
-import polars as pl
-
-
-class DateSchema(dy.Schema):
-    date: dy.Date = dy.Date(nullable=False)
-
-    @dy.rule()
-    def minimum_starting_date() -> pl.Expr:
-        return pl.col("date") > pl.date(2018, 5, 8)
--- a/src/tests/test_validate_files.py
+++ b/src/tests/test_validate_files.py
@ -1,24 +0,0 @@
-import dataframely as dy
-import polars as pl
-
-from tests.test_validate_date_col import DateSchema
-
-
-class FilesSchema(DateSchema):
-    filename: dy.String = dy.String(nullable=False)
-    mtime: dy.Float = dy.Float(nullable=False)
-    filesize: dy.Integer = dy.Integer(nullable=False)
-
-
-def test_files_schema():
-    _ = FilesSchema.validate(
-        pl.scan_csv(
-            "output/files.csv",
-            schema={
-                "date": pl.Date,
-                "filename": pl.String,
-                "mtime": pl.Float32,
-                "filesize": pl.UInt32,
-            },
-        ).collect(engine="streaming")
-    )
--- a/src/tests/test_validate_kernels.py
+++ b/src/tests/test_validate_kernels.py
@ -1,22 +0,0 @@
-import dataframely as dy
-import polars as pl
-
-from tests.test_validate_date_col import DateSchema
-
-
-class KernelsSchema(DateSchema):
-    kernel: dy.String = dy.String(nullable=False)
-    downloads: dy.Integer = dy.Integer(nullable=False)
-
-
-def test_kernels_schema():
-    _ = KernelsSchema.validate(
-        pl.scan_csv(
-            "output/kernels.csv",
-            schema={
-                "date": pl.Date,
-                "kernel": pl.String,
-                "downloads": pl.UInt32,
-            },
-        ).collect(engine="streaming")
-    )
--- a/src/tests/test_validate_packages.py
+++ b/src/tests/test_validate_packages.py
@ -1,24 +0,0 @@
-import dataframely as dy
-import polars as pl
-
-from tests.test_validate_date_col import DateSchema
-
-
-class PackagesSchema(DateSchema):
-    package: dy.String = dy.String(nullable=False)
-    version: dy.String = dy.String(nullable=False)
-    count: dy.Integer = dy.Integer(nullable=False)
-
-
-def test_packages_schema():
-    _ = PackagesSchema.validate(
-        pl.scan_csv(
-            "output/packages.csv",
-            schema={
-                "date": pl.Date,
-                "package": pl.String,
-                "version": pl.String,
-                "count": pl.UInt16,
-            },
-        ).collect(engine="streaming")
-    )
--- a/src/tests/test_validate_unique_installs.py
+++ b/src/tests/test_validate_unique_installs.py
@ -1,24 +0,0 @@
-import dataframely as dy
-import polars as pl
-
-from tests.test_validate_date_col import DateSchema
-
-
-class UniquesSchema(DateSchema):
-    unique: dy.Integer = dy.Integer(nullable=False)
-
-    @dy.rule()
-    def cannot_be_zero() -> pl.Expr:
-        return pl.col("unique") > 0
-
-
-def test_uniques_schema():
-    _ = UniquesSchema.validate(
-        pl.scan_csv(
-            "output/unique_installs.csv",
-            schema={
-                "date": pl.Date,
-                "unique": pl.UInt16,
-            },
-        ).collect(engine="streaming")
-    )
--- a/uv.lock
+++ b/uv.lock
@ -1,176 +0,0 @@
-version = 1
-revision = 3
-requires-python = ">=3.12"
-
-[[package]]
-name = "colorama"
-version = "0.4.6"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
-]
-
-[[package]]
-name = "dataframely"
-version = "1.13.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "numpy" },
-    { name = "polars" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/d3/fe/b694bfc8e11d5a82d519043c3ee3193b0f127fabdaa5eb17a47fde94f778/dataframely-1.13.0.tar.gz", hash = "sha256:02d679399f613be25622f0196eb9a267c43789d1750fd615ea3392e6901d2640", size = 310932, upload-time = "2025-09-26T06:35:42.44Z" }
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