From 52627c966ac9527a5340ff05fd7c848d7128f710 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Wed, 24 Sep 2025 18:36:11 +0200 Subject: [PATCH 01/36] Set up basic project --- .gitignore | 10 + .python-version | 1 + README.md | 0 grab_all.sh | 13 + main.py | 6 + pyproject.toml | 9 + uv.lock | 967 ++++++++++++++++++++++++++++++++++++++++++++++++ 7 files changed, 1006 insertions(+) create mode 100644 .gitignore create mode 100644 .python-version create mode 100644 README.md create mode 100755 grab_all.sh create mode 100644 main.py create mode 100644 pyproject.toml create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..505a3b1 --- /dev/null +++ b/.gitignore @@ -0,0 +1,10 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# Virtual environments +.venv diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/README.md b/README.md new file mode 100644 index 0000000..e69de29 diff --git a/grab_all.sh b/grab_all.sh new file mode 100755 index 0000000..24e2c1c --- /dev/null +++ b/grab_all.sh @@ -0,0 +1,13 @@ +#!/usr/bin/env bash + +base_url="https://popcorn.voidlinux.org/popcorn_" +ft=".json" + +start_date="2018-05-08" +end_date="2025-09-25" +while [[ "$start_date" != "$end_date" ]]; do + echo "$start_date" + start_date=$(date --date "$start_date + 1 day" +"%Y-%m-%d") + wget -O "${start_date}.json" "${base_url}${start_date}${ft}" +done +Copy diff --git a/main.py b/main.py new file mode 100644 index 0000000..6069e98 --- /dev/null +++ b/main.py @@ -0,0 +1,6 @@ +def main(): + print("Hello from voidlinux-popcorn!") + + +if __name__ == "__main__": + main() diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..d688b40 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,9 @@ +[project] +name = "voidlinux-popcorn" +version = "0.1.0" +description = "Add your description here" 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main.py create mode 100644 popcorn.py diff --git a/main.py b/main.py deleted file mode 100644 index 6069e98..0000000 --- a/main.py +++ /dev/null @@ -1,6 +0,0 @@ -def main(): - print("Hello from voidlinux-popcorn!") - - -if __name__ == "__main__": - main() diff --git a/popcorn.py b/popcorn.py new file mode 100644 index 0000000..e69de29 From ae1895e47f6b829e8bebec5afd71794f7b1e6f23 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sat, 27 Sep 2025 11:27:29 +0200 Subject: [PATCH 03/36] Add polars, marimo, gt and lets-plot --- popcorn.py | 18 ++++ pyproject.toml | 10 ++ uv.lock | 271 ++++++++++++++++++++++++++++++++++++++++++++++++- 3 files changed, 298 insertions(+), 1 deletion(-) diff --git a/popcorn.py b/popcorn.py index e69de29..0f1a8da 100644 --- a/popcorn.py +++ b/popcorn.py @@ -0,0 +1,18 @@ +import marimo + +__generated_with = "0.16.2" +app = marimo.App(width="medium") + +with app.setup: + # Initialization code that runs beimpofore all other cells + import lets_plot as lp + import 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}, +] + [[package]] name = "pywin32" version = "311" @@ -929,11 +1181,19 @@ name = "voidlinux-popcorn" version = "0.1.0" source = { virtual = "." } dependencies = [ + { name = "great-tables" }, + { name = "lets-plot" }, { name = "marimo", extra = ["recommended"] }, + { name = "polars" }, ] [package.metadata] -requires-dist = [{ name = "marimo", extras = ["recommended"], specifier = ">=0.16.2" }] +requires-dist = [ + { name = "great-tables", specifier = ">=0.18.0" }, + { name = "lets-plot", specifier = ">=4.7.3" }, + { name = "marimo", extras = ["recommended"], specifier = ">=0.16.2" }, + { name = "polars", specifier = ">=1.33.1" }, +] [[package]] name = "websockets" @@ -965,3 +1225,12 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/1b/6c/c65773d6cab416a64d191d6ee8a8b1c68a09970ea6909d16965d26bfed1e/websockets-15.0.1-cp313-cp313-win_amd64.whl", hash = "sha256:e09473f095a819042ecb2ab9465aee615bd9c2028e4ef7d933600a8401c79561", size = 176837, upload-time = 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"2025-06-08T17:06:38.034Z" }, +] From 17016059393a6e6a8d4b9bcb94978dcc61807ff9 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sat, 27 Sep 2025 11:27:29 +0200 Subject: [PATCH 04/36] Add basic size analysis --- popcorn.py | 61 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 61 insertions(+) diff --git a/popcorn.py b/popcorn.py index 0f1a8da..f6add6c 100644 --- a/popcorn.py +++ b/popcorn.py @@ -16,3 +16,64 @@ def _(): mo.md(r"""# Void Linux 'Popcorn' package repository stat analysis""") return + +@app.cell +def _(): + def parse_size(size_str): + try: + return float(re.search(r"(\d+.?\d+) kB", size_str).group(1)) + except AttributeError: + return None + + sizes_df = ( + pl.read_csv("data/file_sizes.csv") + .with_columns( + pl.col("name") + .str.replace(r"data/(\d{4}-\d{2}-\d{2}).json", "${1}") + .str.to_date() + .alias("date"), + pl.col("size").map_elements(lambda x: parse_size(x), return_dtype=pl.Float32).alias("size_num") + ) + .select(["date", "size_num", "size", "modified"]) + ) + sizes_df_null = sizes_df.filter(pl.col("size_num").is_null()) + sizes_df = sizes_df.filter(pl.col("size").is_not_null()) + return + + +@app.cell +def _(sizes_df_null): + sizes_df_null.select(["date", "size"]).style.tab_header( + title="Missing Days", + subtitle="Days with 0B size due to missing on the popcorn server.", + ) + + +@app.cell +def _(sizes_df): + ( + lp.ggplot(sizes_df, lp.aes(x="date", y="size")) + + lp.geom_point() + + lp.labs( + title="File sizes", + subtitle="Size of daily popcorn files over time", + caption="Raw json file size, without any formatting, removal of markers, characters or newlines.", + ) + ) + + +@app.cell +def _(sizes_df): + ( + lp.ggplot(sizes_df, lp.aes(x="date", y="size")) + + lp.geom_dotplot() + + lp.labs( + title="", + subtitle="", + caption="", + ) + ) + + +if __name__ == "__main__": + app.run() From 42fd0e5a24e11f87241af59c22c35bf16314a4c7 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sat, 27 Sep 2025 11:34:52 +0200 Subject: [PATCH 05/36] Set up linters for data science --- popcorn.py | 2 +- pyproject.toml | 5 +++++ 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/popcorn.py b/popcorn.py index f6add6c..3fbb9f5 100644 --- a/popcorn.py +++ b/popcorn.py @@ -21,7 +21,7 @@ def _(): def _(): def parse_size(size_str): try: - return float(re.search(r"(\d+.?\d+) kB", size_str).group(1)) + return float(re.search(r"(\d+.?\d+) kB", size_str).group(1)) # pyright: ignore[reportOptionalMemberAccess] except AttributeError: return None diff --git a/pyproject.toml b/pyproject.toml index 162444d..8a4c73b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,6 +13,11 @@ dependencies = [ [tool.pyright] typeCheckingMode = "basic" +reportUnusedExpression = false +reportUnusedVariable = false + +[tool.ruff.lint] +ignore = ["F841"] [tool.marimo.runtime] dotenv = [".env"] From 97e4d256bbc52b13b2e594abccdf6e00119f139f Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sat, 27 Sep 2025 11:34:52 +0200 Subject: [PATCH 06/36] Add mod time checking --- popcorn.py | 75 +++++++++++++++++++++++++++++++++++++++++------------- 1 file changed, 58 insertions(+), 17 deletions(-) diff --git a/popcorn.py b/popcorn.py index 3fbb9f5..29e9192 100644 --- a/popcorn.py +++ b/popcorn.py @@ -5,10 +5,11 @@ app = marimo.App(width="medium") with app.setup: # Initialization code that runs beimpofore all other cells + import re + import lets_plot as lp import marimo as mo import polars as pl - import re @app.cell(hide_code=True) @@ -25,28 +26,21 @@ def _(): except AttributeError: return None - sizes_df = ( + sizes_df_raw = ( pl.read_csv("data/file_sizes.csv") .with_columns( pl.col("name") .str.replace(r"data/(\d{4}-\d{2}-\d{2}).json", "${1}") .str.to_date() .alias("date"), - pl.col("size").map_elements(lambda x: parse_size(x), return_dtype=pl.Float32).alias("size_num") + pl.col("size") + .map_elements(lambda x: parse_size(x), return_dtype=pl.Float32) + .alias("size_num"), ) .select(["date", "size_num", "size", "modified"]) ) - sizes_df_null = sizes_df.filter(pl.col("size_num").is_null()) - sizes_df = sizes_df.filter(pl.col("size").is_not_null()) - return - - -@app.cell -def _(sizes_df_null): - sizes_df_null.select(["date", "size"]).style.tab_header( - title="Missing Days", - subtitle="Days with 0B size due to missing on the popcorn server.", - ) + sizes_df = sizes_df_raw.filter(pl.col("size_num").is_not_null()) + return sizes_df, sizes_df_raw @app.cell @@ -54,9 +48,10 @@ def _(sizes_df): ( lp.ggplot(sizes_df, lp.aes(x="date", y="size")) + lp.geom_point() + + lp.geom_smooth(method="lm") + lp.labs( - title="File sizes", - subtitle="Size of daily popcorn files over time", + title="Size growth", + subtitle="Size of daily popcorn statistics files over time", caption="Raw json file size, without any formatting, removal of markers, characters or newlines.", ) ) @@ -66,13 +61,59 @@ def _(sizes_df): def _(sizes_df): ( lp.ggplot(sizes_df, lp.aes(x="date", y="size")) - + lp.geom_dotplot() + + lp.geom_point() + + lp.geom_smooth(method="lowess") + lp.labs( title="", subtitle="", caption="", ) ) + return + + +@app.cell +def _(): + mo.md( + r""" + ## Odds and Ends + There are some missing days in the statistics. + """ + ) + return + + +@app.cell +def _(sizes_df_raw): + sizes_df_null = sizes_df_raw.filter(pl.col("size_num").is_null()) + sizes_df_null.select(["date", "size"]).style.tab_header( + title="Missing Days", + subtitle="Days with 0B size due to missing on the popcorn server.", + ) + return + + +@app.cell +def _(sizes_df): + def _(): + different_modification_date = sizes_df.with_columns( + pl.col("modified") + .str.to_datetime(format="%F %T %:z", strict=False) + .alias("modified_dt"), + ).filter(pl.col("date") != pl.col("modified_dt").dt.date()) + # This does not work well what are we showing? + # 'true' capture date on X but then what on Y - the + # same date for each? the difference in dt? + return ( + lp.ggplot( + different_modification_date, + lp.aes("date", "modified_dt"), + ) + + lp.geom_freqpoly() + ) + + _() + return if __name__ == "__main__": From cbda8dca5527028fe86a913d9091694bd49f29ba Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sat, 27 Sep 2025 11:34:52 +0200 Subject: [PATCH 07/36] Parse JSON Package downloads --- popcorn.py | 37 ++++++++++++++++++++++++++++++++++--- 1 file changed, 34 insertions(+), 3 deletions(-) diff --git a/popcorn.py b/popcorn.py index 29e9192..e05abd6 100644 --- a/popcorn.py +++ b/popcorn.py @@ -5,7 +5,9 @@ app = marimo.App(width="medium") with app.setup: # Initialization code that runs beimpofore all other cells + import json import re + from pathlib import Path import lets_plot as lp import marimo as mo @@ -58,15 +60,31 @@ def _(sizes_df): @app.cell -def _(sizes_df): +def _(): + df = ( + pl.scan_ndjson("data/daily/*", include_file_paths="file") + .head(200) # FIXME: take out after debug + .with_columns( + pl.col("file") + .str.replace(r"data/daily/(\d{4}-\d{2}-\d{2}).json", "${1}") + .str.to_date() + .alias("date") + ) + .select("date", pl.col("Packages").struct.unnest()) + .fill_null(0) + .unpivot(index="date", variable_name="package", value_name="downloads") + .collect() + ) + df + return + + ( lp.ggplot(sizes_df, lp.aes(x="date", y="size")) + lp.geom_point() + lp.geom_smooth(method="lowess") + lp.labs( title="", - subtitle="", - caption="", ) ) return @@ -116,5 +134,18 @@ def _(sizes_df): return +# further ideas: +# - which kernels have been DL when? (simplified for semver) +# - when did specific kernels enter the repos? +# +# - which arches are/were most prevalent over time? +# - have the arches been mostly even relative to each other? +# +# - what does unique install mean? +# +# - which Packages had the most unique versions, least versions +# - which pkg had the most download of a single version? +# - for which pkg were the version dls the most spread out? + if __name__ == "__main__": app.run() From 62e3cedb034f2a6caf631daa642a37cf46a1726b Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sat, 27 Sep 2025 11:34:52 +0200 Subject: [PATCH 08/36] Add descriptive file size text --- popcorn.py | 48 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) diff --git a/popcorn.py b/popcorn.py index e05abd6..f5f3fca 100644 --- a/popcorn.py +++ b/popcorn.py @@ -45,6 +45,39 @@ def _(): return sizes_df, sizes_df_raw +@app.cell(hide_code=True) +def _(): + mo.md( + r""" + ## Daily statistics file size + + The simplest operation we can do is look at the overall file size for each + of the daily statistics files over time. The files consist of a long list + of packages which have been downloaded from the repositories that day, + along with the number of downloads. It also consists of the same list + separated by specifically downloaded versions of packages, so if somebody + downloads v0.9.1 and somebody else downloads v0.9.3 this would count both + downloads separately. + + Another count is the number of different Kernels that have been used to + download (or downloaded?) from the repositories. + + These are the major things that will lead to size increases in the file, + but not just for an increased amount of downloads --- we will get to those shortly. + + No, an increase in file size here mainly suggests an increase in the + 'breadth' of files on offer in the repository, whether that be a wider + variety of program versions or more different packages that people are + interested in. + + So while the overall amount of downloads gives a general estimate of the + interest in the distribution, this can show a more 'distributor'-aligned + view on how many different aisles of the buffet people are eating from. + """ + ) + return + + @app.cell def _(sizes_df): ( @@ -57,6 +90,21 @@ def _(sizes_df): caption="Raw json file size, without any formatting, removal of markers, characters or newlines.", ) ) + return + + +@app.cell(hide_code=True) +def _(): + mo.md( + r""" + + As we can see, the difference over time is massive. Especially early on, + between 2019 and the start of 2021, the amount of different stuff + downloaded grew rapidly, with the pace picking up again starting 2023. + + """ + ) + return @app.cell From 761cd9b2ad8f4c86a0f9762b99b6d04a4b0e2878 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sat, 27 Sep 2025 11:34:52 +0200 Subject: [PATCH 09/36] Add watchdog dev dependency For the --watch option in marimo --- pyproject.toml | 5 +++++ uv.lock | 32 ++++++++++++++++++++++++++++++++ 2 files changed, 37 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 8a4c73b..5fa864a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,3 +22,8 @@ ignore = ["F841"] [tool.marimo.runtime] dotenv = [".env"] watcher_on_save = "autorun" + +[dependency-groups] +dev = [ + "watchdog>=6.0.0", +] diff --git a/uv.lock b/uv.lock index 7510bcd..d9eb5fd 100644 --- a/uv.lock +++ b/uv.lock @@ -1187,6 +1187,11 @@ dependencies = [ { name = "polars" }, ] +[package.dev-dependencies] +dev = [ + { name = "watchdog" 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2001 From: Marty Oehme Date: Sat, 27 Sep 2025 11:34:52 +0200 Subject: [PATCH 10/36] Add daily downloads graph --- popcorn.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/popcorn.py b/popcorn.py index f5f3fca..4e044f3 100644 --- a/popcorn.py +++ b/popcorn.py @@ -127,12 +127,16 @@ def _(): return +@app.cell +def _(df: pl.DataFrame): ( - lp.ggplot(sizes_df, lp.aes(x="date", y="size")) - + lp.geom_point() - + lp.geom_smooth(method="lowess") + lp.ggplot( + df.group_by("date").agg(pl.col("downloads").sum()).sort("date"), + lp.aes("date", "downloads"), + ) + + lp.geom_line() + lp.labs( - title="", + title="Daily downloads", ) ) return From 83dfce1a61da182af42e39b07ddbe28397fc372c Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sun, 28 Sep 2025 19:30:37 +0200 Subject: [PATCH 11/36] Change to weekly downloads --- popcorn.py | 21 ++++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/popcorn.py b/popcorn.py index 4e044f3..de6199d 100644 --- a/popcorn.py +++ b/popcorn.py @@ -129,14 +129,19 @@ def _(): @app.cell def _(df: pl.DataFrame): + weekly_downloads = ( + df.sort("date") + .group_by_dynamic("date", every="1w") + .agg(pl.col("downloads").sum()) + .sort("date") + ) ( - lp.ggplot( - df.group_by("date").agg(pl.col("downloads").sum()).sort("date"), - lp.aes("date", "downloads"), - ) + lp.ggplot(weekly_downloads, lp.aes("date", "downloads")) + lp.geom_line() + + lp.geom_smooth(method="loess") + + lp.geom_smooth(method="lm") + lp.labs( - title="Daily downloads", + title="Weekly downloads", ) ) return @@ -187,6 +192,12 @@ def _(sizes_df): # further ideas: +# +# - daily download habits: +# - which weekday has most downloads? +# - are we downloading further spread of versions on specific days +# - are there 'update' days, where things converge? specific weekday/on holidays/etc? +# # - which kernels have been DL when? (simplified for semver) # - when did specific kernels enter the repos? # From ed7ed620d47c53de7368271926656870b56cc622 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sun, 28 Sep 2025 19:34:43 +0200 Subject: [PATCH 12/36] Extract magic row limit variable --- popcorn.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/popcorn.py b/popcorn.py index de6199d..6f11f4f 100644 --- a/popcorn.py +++ b/popcorn.py @@ -13,6 +13,8 @@ with app.setup: import marimo as mo import polars as pl + LIMIT_ROWS = 200 + @app.cell(hide_code=True) def _(): @@ -111,7 +113,7 @@ def _(): def _(): df = ( pl.scan_ndjson("data/daily/*", include_file_paths="file") - .head(200) # FIXME: take out after debug + .head(LIMIT_ROWS) # FIXME: take out after debug .with_columns( pl.col("file") .str.replace(r"data/daily/(\d{4}-\d{2}-\d{2}).json", "${1}") From 343b75c9e41e0b2a6b2e23289a8837b3d832de92 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sun, 28 Sep 2025 20:45:55 +0200 Subject: [PATCH 13/36] Remove unused functions --- popcorn.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/popcorn.py b/popcorn.py index 6f11f4f..2a1c68e 100644 --- a/popcorn.py +++ b/popcorn.py @@ -5,9 +5,7 @@ app = marimo.App(width="medium") with app.setup: # Initialization code that runs beimpofore all other cells - import json import re - from pathlib import Path import lets_plot as lp import marimo as mo @@ -141,7 +139,6 @@ def _(df: pl.DataFrame): lp.ggplot(weekly_downloads, lp.aes("date", "downloads")) + lp.geom_line() + lp.geom_smooth(method="loess") - + lp.geom_smooth(method="lm") + lp.labs( title="Weekly downloads", ) From 07c45ca205d379f07485f65a2ff70bb38986a72c Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sun, 28 Sep 2025 21:05:44 +0200 Subject: [PATCH 14/36] Add weekday barplot --- popcorn.py | 65 ++++++++++++++++++++++++++++++++++++++++++------------ 1 file changed, 51 insertions(+), 14 deletions(-) diff --git a/popcorn.py b/popcorn.py index 2a1c68e..e1dd707 100644 --- a/popcorn.py +++ b/popcorn.py @@ -129,20 +129,58 @@ def _(): @app.cell def _(df: pl.DataFrame): - weekly_downloads = ( - df.sort("date") - .group_by_dynamic("date", every="1w") - .agg(pl.col("downloads").sum()) - .sort("date") - ) - ( - lp.ggplot(weekly_downloads, lp.aes("date", "downloads")) - + lp.geom_line() - + lp.geom_smooth(method="loess") - + lp.labs( - title="Weekly downloads", + def _(): + weekly_downloads = ( + df.sort("date") + .group_by_dynamic("date", every="1w") + .agg(pl.col("downloads").sum()) + .sort("date") ) - ) + + return ( + lp.ggplot(weekly_downloads, lp.aes("date", "downloads")) + + lp.geom_line() + + lp.geom_smooth(method="loess") + + lp.labs( + title="Weekly downloads", + ) + ) + + _() + return + + +@app.cell +def _(df: pl.DataFrame): + def _(): + weekday_downloads = df.sort("date").with_columns( + pl.col("date") + .dt.weekday() + .sort() + .replace_strict( + { + 1: "Mon", + 2: "Tue", + 3: "Wed", + 4: "Thu", + 5: "Fri", + 6: "Sat", + 7: "Sun", + } + ) + .alias("weekday") + ) + + return ( + lp.ggplot(weekday_downloads, lp.aes("weekday", "downloads")) + + lp.geom_bar() + + lp.labs( + title="Weekday downloads", + caption="Downloads aggregated per day of the week they took place.", + ) + ) + + _() return @@ -193,7 +231,6 @@ def _(sizes_df): # further ideas: # # - daily download habits: -# - which weekday has most downloads? # - are we downloading further spread of versions on specific days # - are there 'update' days, where things converge? specific weekday/on holidays/etc? # From 86b3659f0f519bd78fc26034b6d7ef74500264ce Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sun, 28 Sep 2025 21:08:48 +0200 Subject: [PATCH 15/36] Turn main dataframe into lazyframe --- popcorn.py | 49 +++++++++++++++++++++++++------------------------ 1 file changed, 25 insertions(+), 24 deletions(-) diff --git a/popcorn.py b/popcorn.py index e1dd707..7a65155 100644 --- a/popcorn.py +++ b/popcorn.py @@ -109,7 +109,7 @@ def _(): @app.cell def _(): - df = ( + df_lazy = ( pl.scan_ndjson("data/daily/*", include_file_paths="file") .head(LIMIT_ROWS) # FIXME: take out after debug .with_columns( @@ -121,22 +121,21 @@ def _(): .select("date", pl.col("Packages").struct.unnest()) .fill_null(0) .unpivot(index="date", variable_name="package", value_name="downloads") - .collect() ) - df + df_lazy return @app.cell -def _(df: pl.DataFrame): +def _(df_lazy: pl.LazyFrame): def _(): weekly_downloads = ( - df.sort("date") + df_lazy.sort("date") .group_by_dynamic("date", every="1w") .agg(pl.col("downloads").sum()) .sort("date") + .collect() ) - return ( lp.ggplot(weekly_downloads, lp.aes("date", "downloads")) + lp.geom_line() @@ -145,30 +144,33 @@ def _(df: pl.DataFrame): title="Weekly downloads", ) ) - _() return @app.cell -def _(df: pl.DataFrame): +def _(df_lazy: pl.LazyFrame): def _(): - weekday_downloads = df.sort("date").with_columns( - pl.col("date") - .dt.weekday() - .sort() - .replace_strict( - { - 1: "Mon", - 2: "Tue", - 3: "Wed", - 4: "Thu", - 5: "Fri", - 6: "Sat", - 7: "Sun", - } + weekday_downloads = ( + df_lazy.sort("date") + .with_columns( + pl.col("date") + .dt.weekday() + .sort() + .replace_strict( + { + 1: "Mon", + 2: "Tue", + 3: "Wed", + 4: "Thu", + 5: "Fri", + 6: "Sat", + 7: "Sun", + } + ) + .alias("weekday") ) - .alias("weekday") + .collect() ) return ( @@ -179,7 +181,6 @@ def _(df: pl.DataFrame): caption="Downloads aggregated per day of the week they took place.", ) ) - _() return From efa08b4b547c894e5ce6f3aafee76e5cff91ada4 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sun, 28 Sep 2025 21:11:14 +0200 Subject: [PATCH 16/36] Add monthwise downloads barplot --- popcorn.py | 23 ++++++++++++++++++++++- 1 file changed, 22 insertions(+), 1 deletion(-) diff --git a/popcorn.py b/popcorn.py index 7a65155..9ed2235 100644 --- a/popcorn.py +++ b/popcorn.py @@ -122,7 +122,6 @@ def _(): .fill_null(0) .unpivot(index="date", variable_name="package", value_name="downloads") ) - df_lazy return @@ -144,6 +143,7 @@ def _(df_lazy: pl.LazyFrame): title="Weekly downloads", ) ) + _() return @@ -181,6 +181,27 @@ def _(df_lazy: pl.LazyFrame): caption="Downloads aggregated per day of the week they took place.", ) ) + + _() + return + + +@app.cell +def _(df_lazy: pl.LazyFrame): + def _(): + month_agg_downloads = ( + df_lazy.sort("date") + .with_columns(pl.col("date").dt.month().alias("month")) + .collect() + ) + return ( + lp.ggplot(month_agg_downloads, lp.aes("month", "downloads")) + + lp.geom_bar() + + lp.labs( + title="Monthwise downloads", + caption="Downloads aggregated per month of the year.", + ) + ) _() return From 499a819c9031ed9c2d5e85a8a5c7d6ca05961fce Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sun, 28 Sep 2025 21:50:30 +0200 Subject: [PATCH 17/36] Add unique daily stat uploads lineplot --- popcorn.py | 27 +++++++++++++++++++++++++++ 1 file changed, 27 insertions(+) diff --git a/popcorn.py b/popcorn.py index 9ed2235..826082c 100644 --- a/popcorn.py +++ b/popcorn.py @@ -202,10 +202,37 @@ def _(df_lazy: pl.LazyFrame): caption="Downloads aggregated per month of the year.", ) ) + _() return +@app.cell +def _(): + df_unique_downloads = ( + pl.scan_ndjson("data/daily/*", include_file_paths="file") + .head(LIMIT_ROWS) # FIXME: take out after debug + .with_columns( + pl.col("file") + .str.replace(r"data/daily/(\d{4}-\d{2}-\d{2}).json", "${1}") + .str.to_date() + .alias("date") + ) + .select(["date", "UniqueInstalls"]) + .collect() + ) + ( + lp.ggplot(df_unique_downloads, lp.aes("date", "UniqueInstalls")) + + lp.geom_line() + + lp.geom_smooth() + + lp.labs( + title="Unique daily uploads", + caption="Daily number of unique providers for package update statistics opting in to popcorn.", + ) + ) + return + + @app.cell def _(): mo.md( From 4984289f694e4bf118dbbaf37bc004166d8dd190 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sun, 28 Sep 2025 21:56:16 +0200 Subject: [PATCH 18/36] Provide raw lazyframe --- popcorn.py | 31 +++++++++++-------------------- 1 file changed, 11 insertions(+), 20 deletions(-) diff --git a/popcorn.py b/popcorn.py index 826082c..3634939 100644 --- a/popcorn.py +++ b/popcorn.py @@ -118,7 +118,9 @@ def _(): .str.to_date() .alias("date") ) - .select("date", pl.col("Packages").struct.unnest()) + ) + df_pkg_lazy = ( + df_lazy.select("date", pl.col("Packages").struct.unnest()) .fill_null(0) .unpivot(index="date", variable_name="package", value_name="downloads") ) @@ -126,10 +128,10 @@ def _(): @app.cell -def _(df_lazy: pl.LazyFrame): +def _(df_pkg_lazy: pl.LazyFrame): def _(): weekly_downloads = ( - df_lazy.sort("date") + df_pkg_lazy.sort("date") .group_by_dynamic("date", every="1w") .agg(pl.col("downloads").sum()) .sort("date") @@ -149,10 +151,10 @@ def _(df_lazy: pl.LazyFrame): @app.cell -def _(df_lazy: pl.LazyFrame): +def _(df_pkg_lazy: pl.LazyFrame): def _(): weekday_downloads = ( - df_lazy.sort("date") + df_pkg_lazy.sort("date") .with_columns( pl.col("date") .dt.weekday() @@ -187,10 +189,10 @@ def _(df_lazy: pl.LazyFrame): @app.cell -def _(df_lazy: pl.LazyFrame): +def _(df_pkg_lazy: pl.LazyFrame): def _(): month_agg_downloads = ( - df_lazy.sort("date") + df_pkg_lazy.sort("date") .with_columns(pl.col("date").dt.month().alias("month")) .collect() ) @@ -208,19 +210,8 @@ def _(df_lazy: pl.LazyFrame): @app.cell -def _(): - df_unique_downloads = ( - pl.scan_ndjson("data/daily/*", include_file_paths="file") - .head(LIMIT_ROWS) # FIXME: take out after debug - .with_columns( - pl.col("file") - .str.replace(r"data/daily/(\d{4}-\d{2}-\d{2}).json", "${1}") - .str.to_date() - .alias("date") - ) - .select(["date", "UniqueInstalls"]) - .collect() - ) +def _(df_lazy:pl.LazyFrame): + df_unique_downloads = df_lazy.select(["date", "UniqueInstalls"]).collect() ( lp.ggplot(df_unique_downloads, lp.aes("date", "UniqueInstalls")) + lp.geom_line() From 43d2bac7adfaf02addeb033e2efdbfa6e1b6b04f Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Sun, 28 Sep 2025 22:08:29 +0200 Subject: [PATCH 19/36] Add top updated packages barplot --- popcorn.py | 24 +++++++++++++++++++++++- 1 file changed, 23 insertions(+), 1 deletion(-) diff --git a/popcorn.py b/popcorn.py index 3634939..3b1ff34 100644 --- a/popcorn.py +++ b/popcorn.py @@ -210,7 +210,7 @@ def _(df_pkg_lazy: pl.LazyFrame): @app.cell -def _(df_lazy:pl.LazyFrame): +def _(df_lazy: pl.LazyFrame): df_unique_downloads = df_lazy.select(["date", "UniqueInstalls"]).collect() ( lp.ggplot(df_unique_downloads, lp.aes("date", "UniqueInstalls")) @@ -224,6 +224,28 @@ def _(df_lazy:pl.LazyFrame): return +@app.cell +def _(df_pkg_lazy: pl.LazyFrame): + DISPLAY_TOP = 20 + df_top_pkg_dl = ( + df_pkg_lazy.group_by("package") + .agg(pl.col("downloads").sum()) + .sort("downloads", descending=True) + .head(DISPLAY_TOP) + .collect() + ) + + ( + lp.ggplot(df_top_pkg_dl, lp.aes("package", "downloads")) + + lp.geom_bar(stat="identity") + + lp.labs( + title="Top packages", + caption="Daily number of unique providers for package update statistics opting in to popcorn.", + ) + ) + return + + @app.cell def _(): mo.md( From bc6c9d1002209e1fbb497681bc5024570b82540d Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 10:07:49 +0200 Subject: [PATCH 20/36] Improve package updates barplot with least updated --- popcorn.py | 37 +++++++++++++++++++++++-------------- 1 file changed, 23 insertions(+), 14 deletions(-) diff --git a/popcorn.py b/popcorn.py index 3b1ff34..5d945ec 100644 --- a/popcorn.py +++ b/popcorn.py @@ -227,21 +227,30 @@ def _(df_lazy: pl.LazyFrame): @app.cell def _(df_pkg_lazy: pl.LazyFrame): DISPLAY_TOP = 20 - df_top_pkg_dl = ( - df_pkg_lazy.group_by("package") - .agg(pl.col("downloads").sum()) - .sort("downloads", descending=True) - .head(DISPLAY_TOP) - .collect() - ) + df_pkg_dl = df_pkg_lazy.group_by("package").agg(pl.col("downloads").sum()).collect() - ( - lp.ggplot(df_top_pkg_dl, lp.aes("package", "downloads")) - + lp.geom_bar(stat="identity") - + lp.labs( - title="Top packages", - caption="Daily number of unique providers for package update statistics opting in to popcorn.", - ) + lp.gggrid( + [ + lp.ggplot( + df_pkg_dl.sort("downloads", descending=True).head(DISPLAY_TOP), + lp.aes("package", "downloads"), + ) + + lp.geom_bar(stat="identity") + + lp.labs( + title="Top packages", + caption="Most updated packages over all time", + ), + lp.ggplot( + df_pkg_dl.sort("downloads", descending=False).head(DISPLAY_TOP), + lp.aes("package", "downloads"), + ) + + lp.geom_bar(stat="identity") + + lp.labs( + title="Rarest packages", + caption="Least updated packages over all time", + ), + ], + ncol=1, ) return From 45920009d6e473feced7d7da205ed1dd62375133 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 11:26:23 +0200 Subject: [PATCH 21/36] Add additional text cells --- popcorn.py | 34 +++++++++++++++++++++++++++++++++- 1 file changed, 33 insertions(+), 1 deletion(-) diff --git a/popcorn.py b/popcorn.py index 5d945ec..d095f4d 100644 --- a/popcorn.py +++ b/popcorn.py @@ -16,7 +16,12 @@ with app.setup: @app.cell(hide_code=True) def _(): - mo.md(r"""# Void Linux 'Popcorn' package repository stat analysis""") + mo.md(r"""# Void Linux 'Popcorn' package repository stat analysis + + This notebook analyses the daily package repository statistics files, + colloquially known as 'popcorn' files, that are generated by the Void Linux + package manager `xbps` and uploaded by users who have opted in to share. + """) return @@ -102,6 +107,10 @@ def _(): between 2019 and the start of 2021, the amount of different stuff downloaded grew rapidly, with the pace picking up again starting 2023. + There are a few outliers with a size of 0 kB, which we will remove from the + data. There are also a few days where the modification date of the file + does not correspond to the represented statistical date. + """ ) return @@ -127,6 +136,23 @@ def _(): return +@app.cell(hide_code=True) +def _(): + mo.md( + r""" + ## Download statistics + + Now that we have an idea of how the overall interest in the distribution + has changed over time, let's look at the actual download statistics. + + The popcorn files contain two main pieces of information: the number of + unique installs (i.e. unique machines downloading packages) and the number + of downloads per package. We will look at both of these in turn. + """ + ) + return + + @app.cell def _(df_pkg_lazy: pl.LazyFrame): def _(): @@ -299,6 +325,12 @@ def _(sizes_df): return +@app.cell +def _(df_lazy): + kernel_df = df_lazy.select("date", pl.col("Kernels").struct.unnest()) + kernel_df + + # further ideas: # # - daily download habits: From 91d64f428ca5a3f256d39d0e3d08bc3fb9931bcd Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 16:17:27 +0200 Subject: [PATCH 22/36] Add data cleaning script --- clean.py | 70 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 70 insertions(+) create mode 100644 clean.py diff --git a/clean.py b/clean.py new file mode 100644 index 0000000..1cbecbf --- /dev/null +++ b/clean.py @@ -0,0 +1,70 @@ +import csv +import json +from datetime import datetime +from pathlib import Path + + +def json_to_daily_pkg( + input_dir: Path, output_dir: Path, force: bool = False +) -> int | None: + if not input_dir.is_dir(): + raise ValueError + output_dir.mkdir(exist_ok=True, parents=True) + + # only clean if raw files have been updated since last time + if not force: + last_raw_update: datetime = datetime(1, 1, 1) + oldest_clean: datetime = datetime.now() + for file in input_dir.glob("*.json"): + mdate = datetime.fromtimestamp(file.stat().st_mtime) + if mdate > last_raw_update: + last_raw_update = mdate + for file in output_dir.glob("*.csv"): + mdate = datetime.fromtimestamp(file.stat().st_mtime) + if mdate < oldest_clean: + oldest_clean = mdate + if oldest_clean > last_raw_update: + print( + "INFO: Skip creating cleaned data," + f" last processing {oldest_clean} newer than {last_raw_update}" + ) + return + + for j in input_dir.glob("*.json"): + with open(j) as fr: + date = j.stem + output_file = output_dir / f"{date}.csv" + try: + data = json.load(fr) + except json.JSONDecodeError: + print(f"WARN: Could not decode JSON data for file {j}") + + if "Packages" not in data: + print( + f"WARN: No correct json structure containing 'Packages' field in file {j}" + ) + + with open(output_file, "w") as fw: + writer = csv.writer(fw) + writer.writerow(["date", "package", "downloads"]) + for entry in data["Packages"]: + p_name = entry + p_count = data["Packages"][entry] + p_date = date + writer.writerow([p_date, p_name, p_count]) + # print(output_file, p_date, p_name, p_count) + + +def main(input: str, output: str) -> None: + json_to_daily_pkg(Path(input) / "daily", Path(output) / "daily", force=True) + + +if __name__ == "__main__": + import sys + + if not len(sys.argv) == 3: + print("Please provide exactly one input directory and one output directory.") + sys.exit(1) + inp = sys.argv[1] + out = sys.argv[2] + main(inp, out) From 4c9518cf6798cb248a45398c402e56bf34d9a04f Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 16:17:27 +0200 Subject: [PATCH 23/36] Adapt functions to new csv data layout --- popcorn.py | 62 ++++++++++++++++++++++++++++++++++++------------------ 1 file changed, 41 insertions(+), 21 deletions(-) diff --git a/popcorn.py b/popcorn.py index d095f4d..cb09ba5 100644 --- a/popcorn.py +++ b/popcorn.py @@ -6,12 +6,15 @@ app = marimo.App(width="medium") with app.setup: # Initialization code that runs beimpofore all other cells import re + from pathlib import Path import lets_plot as lp import marimo as mo import polars as pl - LIMIT_ROWS = 200 + LIMIT_ROWS = 500_000 + DATA_RAW_DIR = "data/raw" + DATA_CLEAN_DIR = "data/cleaned" @app.cell(hide_code=True) @@ -25,6 +28,16 @@ def _(): return +# run data prep +@app.cell +def _(): + import clean + + clean.json_to_daily_pkg( + Path(DATA_RAW_DIR) / "daily", Path(DATA_CLEAN_DIR) / "daily", force=False + ) + + @app.cell def _(): def parse_size(size_str): @@ -34,7 +47,7 @@ def _(): return None sizes_df_raw = ( - pl.read_csv("data/file_sizes.csv") + pl.read_csv(f"{DATA_CLEAN_DIR}/file_sizes.csv") .with_columns( pl.col("name") .str.replace(r"data/(\d{4}-\d{2}-\d{2}).json", "${1}") @@ -118,21 +131,21 @@ def _(): @app.cell def _(): - df_lazy = ( - pl.scan_ndjson("data/daily/*", include_file_paths="file") - .head(LIMIT_ROWS) # FIXME: take out after debug - .with_columns( - pl.col("file") - .str.replace(r"data/daily/(\d{4}-\d{2}-\d{2}).json", "${1}") - .str.to_date() - .alias("date") - ) - ) df_pkg_lazy = ( - df_lazy.select("date", pl.col("Packages").struct.unnest()) + pl.scan_csv( + f"{DATA_CLEAN_DIR}/daily/*.csv", + include_file_paths="file", + schema={ + "date": pl.Date, + "package": pl.String, + "downloads": pl.UInt16, + }, + ) + .drop("file") .fill_null(0) - .unpivot(index="date", variable_name="package", value_name="downloads") + .head(LIMIT_ROWS) # FIXME: take out after debug ) + df_pkg_lazy.collect() return @@ -281,6 +294,20 @@ def _(df_pkg_lazy: pl.LazyFrame): return +# - which kernels have been DL when? (simplified for semver) +@app.cell +def _(df_lazy): + kernel_df_lazy = df_lazy.select("date", "XuKernel") + kernel_df = ( + kernel_df_lazy.with_columns(pl.col("XuKernel").struct.unnest()) + .fill_null(0) + # .unpivot(index="date", variable_name="kernel", value_name="downloads") + .collect() + ) + + df_lazy.collect() + + @app.cell def _(): mo.md( @@ -325,19 +352,12 @@ def _(sizes_df): return -@app.cell -def _(df_lazy): - kernel_df = df_lazy.select("date", pl.col("Kernels").struct.unnest()) - kernel_df - - # further ideas: # # - daily download habits: # - are we downloading further spread of versions on specific days # - are there 'update' days, where things converge? specific weekday/on holidays/etc? # -# - which kernels have been DL when? (simplified for semver) # - when did specific kernels enter the repos? # # - which arches are/were most prevalent over time? From e00217f2fee2fa86fd16c737d18a037823e85385 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 18:08:18 +0200 Subject: [PATCH 24/36] Extract cleaning date checking --- clean.py | 49 +++++++++++++++++++++++++++++-------------------- 1 file changed, 29 insertions(+), 20 deletions(-) diff --git a/clean.py b/clean.py index 1cbecbf..3cb6707 100644 --- a/clean.py +++ b/clean.py @@ -2,33 +2,19 @@ import csv import json from datetime import datetime from pathlib import Path +from typing import Generator -def json_to_daily_pkg( - input_dir: Path, output_dir: Path, force: bool = False -) -> int | None: +def json_to_daily_pkg(input_dir: Path, output_dir: Path, force: bool = False) -> None: if not input_dir.is_dir(): raise ValueError output_dir.mkdir(exist_ok=True, parents=True) # only clean if raw files have been updated since last time - if not force: - last_raw_update: datetime = datetime(1, 1, 1) - oldest_clean: datetime = datetime.now() - for file in input_dir.glob("*.json"): - mdate = datetime.fromtimestamp(file.stat().st_mtime) - if mdate > last_raw_update: - last_raw_update = mdate - for file in output_dir.glob("*.csv"): - mdate = datetime.fromtimestamp(file.stat().st_mtime) - if mdate < oldest_clean: - oldest_clean = mdate - if oldest_clean > last_raw_update: - print( - "INFO: Skip creating cleaned data," - f" last processing {oldest_clean} newer than {last_raw_update}" - ) - return + if not force and not newer_than_last_clean( + input_dir.glob("*.json"), output_dir.glob("*.csv"), desc="daily packages" + ): + return for j in input_dir.glob("*.json"): with open(j) as fr: @@ -55,6 +41,29 @@ def json_to_daily_pkg( # print(output_file, p_date, p_name, p_count) +def newer_than_last_clean( + input_glob: Generator, output_glob: Generator, desc: str | None = None +) -> bool: + last_raw_update: datetime = datetime(1, 1, 1) + oldest_clean: datetime = datetime.now() + for file in input_glob: + mdate = datetime.fromtimestamp(file.stat().st_mtime) + if mdate > last_raw_update: + last_raw_update = mdate + for file in output_glob: + mdate = datetime.fromtimestamp(file.stat().st_mtime) + if mdate < oldest_clean: + oldest_clean = mdate + if oldest_clean > last_raw_update: + print( + "INFO: Skip creating cleaned data" + f"{f' for {desc}' if desc else ''}" + f", last processing {oldest_clean} newer than {last_raw_update}" + ) + return False + return True + + def main(input: str, output: str) -> None: json_to_daily_pkg(Path(input) / "daily", Path(output) / "daily", force=True) From 9513e6544e217689cfb9c49ddb9a06db93b5245b Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 18:21:08 +0200 Subject: [PATCH 25/36] Use new csv for unique installs --- popcorn.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/popcorn.py b/popcorn.py index cb09ba5..00d8d1a 100644 --- a/popcorn.py +++ b/popcorn.py @@ -249,10 +249,15 @@ def _(df_pkg_lazy: pl.LazyFrame): @app.cell -def _(df_lazy: pl.LazyFrame): - df_unique_downloads = df_lazy.select(["date", "UniqueInstalls"]).collect() +def _(): ( - lp.ggplot(df_unique_downloads, lp.aes("date", "UniqueInstalls")) + lp.ggplot( + pl.read_csv( + f"{DATA_CLEAN_DIR}/unique_installs.csv", + schema={"date": pl.Date, "unique": pl.UInt16}, + ), + lp.aes("date", "unique"), + ) + lp.geom_line() + lp.geom_smooth() + lp.labs( From 4d5aa73de7ce180bd287028f2bac3e73cfadb7b9 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 18:31:43 +0200 Subject: [PATCH 26/36] Add kernel cleaning func --- clean.py | 77 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ popcorn.py | 6 +++++ 2 files changed, 83 insertions(+) diff --git a/clean.py b/clean.py index 3cb6707..5b13ac3 100644 --- a/clean.py +++ b/clean.py @@ -41,6 +41,79 @@ def json_to_daily_pkg(input_dir: Path, output_dir: Path, force: bool = False) -> # print(output_file, p_date, p_name, p_count) +def json_to_unique_csv(input_dir: Path, output_dir: Path, force: bool = False) -> None: + if not input_dir.is_dir(): + raise ValueError + output_dir.mkdir(exist_ok=True, parents=True) + + # only clean if raw files have been updated since last time + if not force and not newer_than_last_clean( + input_dir.glob("*.json"), output_dir.glob("*.csv"), desc="daily unique installs" + ): + return + + output_file = output_dir / "unique_installs.csv" + with open(output_file, "w") as fw: + writer = csv.writer(fw) + writer.writerow(["date", "unique"]) + + for j in input_dir.glob("*.json"): + with open(j) as fr: + date = j.stem + try: + data = json.load(fr) + except json.JSONDecodeError: + print(f"WARN: Could not decode JSON data for file {j}") + + if "UniqueInstalls" not in data: + print( + f"WARN: No correct json structure containing 'UniqueInstalls' field in file {j}" + ) + + p_date = date + p_count = data["UniqueInstalls"] + writer.writerow([p_date, p_count]) + # print(output_file, p_date, p_count) + + +def json_to_daily_kernel_csv( + input_dir: Path, output_dir: Path, force: bool = False +) -> None: + if not input_dir.is_dir(): + raise ValueError + output_dir.mkdir(exist_ok=True, parents=True) + + # only clean if raw files have been updated since last time + if not force and not newer_than_last_clean( + input_dir.glob("*.json"), output_dir.glob("*.csv"), desc="daily kernels" + ): + return + + for j in input_dir.glob("*.json"): + with open(j) as fr: + date = j.stem + output_file = output_dir / f"{date}.csv" + try: + data = json.load(fr) + except json.JSONDecodeError: + print(f"WARN: Could not decode JSON data for file {j}") + + if "Packages" not in data: + print( + f"WARN: No correct json structure containing 'XuKernel' field in file {j}" + ) + + with open(output_file, "w") as fw: + writer = csv.writer(fw) + writer.writerow(["date", "kernel", "downloads"]) + for entry in data["XuKernel"]: + p_name = entry + p_count = data["XuKernel"][entry] + p_date = date + writer.writerow([p_date, p_name, p_count]) + # print(output_file, p_date, p_name, p_count) + + def newer_than_last_clean( input_glob: Generator, output_glob: Generator, desc: str | None = None ) -> bool: @@ -66,6 +139,10 @@ def newer_than_last_clean( def main(input: str, output: str) -> None: json_to_daily_pkg(Path(input) / "daily", Path(output) / "daily", force=True) + json_to_unique_csv(Path(input) / "daily", Path(output), force=True) + json_to_daily_kernel_csv( + Path(input) / "daily", Path(output) / "kernels", force=True + ) if __name__ == "__main__": diff --git a/popcorn.py b/popcorn.py index 00d8d1a..a55100b 100644 --- a/popcorn.py +++ b/popcorn.py @@ -36,6 +36,12 @@ def _(): clean.json_to_daily_pkg( Path(DATA_RAW_DIR) / "daily", Path(DATA_CLEAN_DIR) / "daily", force=False ) + clean.json_to_unique_csv( + Path(DATA_RAW_DIR) / "daily", Path(DATA_CLEAN_DIR), force=False + ) + clean.json_to_daily_kernel_csv( + Path(DATA_RAW_DIR) / "daily", Path(DATA_CLEAN_DIR) / "kernels", force=False + ) @app.cell From ce38024569a5875a0d86727540f0e750ea4d18fb Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 20:52:19 +0200 Subject: [PATCH 27/36] Add kernel analysis plots --- popcorn.py | 92 +++++++++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 85 insertions(+), 7 deletions(-) diff --git a/popcorn.py b/popcorn.py index a55100b..63af80a 100644 --- a/popcorn.py +++ b/popcorn.py @@ -305,21 +305,99 @@ def _(df_pkg_lazy: pl.LazyFrame): return +@app.cell(hide_code=True) +def _(): + mo.md(r""" ## Kernel Analysis """) + return + + # - which kernels have been DL when? (simplified for semver) @app.cell -def _(df_lazy): - kernel_df_lazy = df_lazy.select("date", "XuKernel") - kernel_df = ( - kernel_df_lazy.with_columns(pl.col("XuKernel").struct.unnest()) +def _(): + kernel_df_lazy = ( + pl.scan_csv( + f"{DATA_CLEAN_DIR}/kernels/*.csv", + schema={ + "date": pl.Date, + "kernel": pl.String, + "downloads": pl.UInt16, + }, + ) .fill_null(0) - # .unpivot(index="date", variable_name="kernel", value_name="downloads") - .collect() + .with_columns(pl.col("kernel").str.replace(r"(\d+\.\d+\.\d+).*", "${1}")) + .with_columns( + pl.col("kernel") + .str.replace(r"(\d+).*", "${1}") + .str.to_integer(dtype=pl.UInt8) + .alias("major_ver"), + pl.col("kernel").str.replace(r"(\d+\.\d+).*", "${1}").alias("minor_ver"), + ) + .head(LIMIT_ROWS) # FIXME: take out after debug ) - df_lazy.collect() + kernel_df_v99 = ( + kernel_df_lazy.filter(pl.col("major_ver") == 99).collect().select("date") + ) + + kernel_df_lazy = kernel_df_lazy.filter(pl.col("major_ver") != 99) + ( + lp.ggplot( + kernel_df_lazy.with_columns(pl.col("major_ver").cast(pl.String)) + .group_by("major_ver") + .agg(pl.col("downloads").sum()) + .sort("major_ver") + .collect(), + lp.aes("major_ver", "downloads"), + ) + + lp.geom_bar(stat="identity") + + lp.labs( + title="Kernel versions used", + caption="For each daily download, add up the currently running kernel version", + ) + ) + return + + +@app.cell(hide_code=True) +def _(kernel_df_v99: pl.DataFrame): + mo.md( + rf""" + + When looking at the kernel versions used, we see a very strong jump between major kernel version + 4 and major kernel version 5. + + For this analysis we had to exclude {kernel_df_v99.select(pl.len()).item()} rows which were + apparently from the future, as they were running variations of major kernel version 99. In all + likelihood there is a custom kernel version out there which reports its own major version as 99. + The strange version starts appearing on {kernel_df_v99.select("date").row(0)[0]} and shows up + all the way until {kernel_df_v99.select("date").row(-1)[0]}. + + """ + ) + return @app.cell +def _(kernel_df_lazy: pl.LazyFrame): + ( + lp.ggplot( + kernel_df_lazy.with_columns(pl.col("major_ver").cast(pl.String)) + .select(["date", "major_ver", "downloads"]) + .sort("date") + .group_by_dynamic("date", every="1w", group_by="major_ver") + .agg(pl.col("downloads").sum()) + .collect(), + lp.aes("date", "downloads", color="major_ver"), + ) + + lp.geom_line() + + lp.labs( + title="Kernels over time", + caption="For each daily download, count used kernel versions", + ) + ) + + +@app.cell(hide_code=True) def _(): mo.md( r""" From 08737e1baa1b862d5f0847a109987c67fb0d44de Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 21:27:27 +0200 Subject: [PATCH 28/36] Add in-text kernel usage dates --- popcorn.py | 48 ++++++++++++++++++++++++++++++++++++++++++------ 1 file changed, 42 insertions(+), 6 deletions(-) diff --git a/popcorn.py b/popcorn.py index 63af80a..04d8641 100644 --- a/popcorn.py +++ b/popcorn.py @@ -379,14 +379,18 @@ def _(kernel_df_v99: pl.DataFrame): @app.cell def _(kernel_df_lazy: pl.LazyFrame): + weekly_kernel_df = ( + kernel_df_lazy.with_columns(pl.col("major_ver").cast(pl.String)) + .select(["date", "major_ver", "downloads"]) + .sort("date") + .group_by_dynamic("date", every="1w", group_by="major_ver") + .agg(pl.col("downloads").sum()) + .collect() + ) + ( lp.ggplot( - kernel_df_lazy.with_columns(pl.col("major_ver").cast(pl.String)) - .select(["date", "major_ver", "downloads"]) - .sort("date") - .group_by_dynamic("date", every="1w", group_by="major_ver") - .agg(pl.col("downloads").sum()) - .collect(), + weekly_kernel_df, lp.aes("date", "downloads", color="major_ver"), ) + lp.geom_line() @@ -397,6 +401,38 @@ def _(kernel_df_lazy: pl.LazyFrame): ) +@app.cell(hide_code=True) +def _(weekly_kernel_df: pl.DataFrame): + from datetime import date + + last_kernel4: date = weekly_kernel_df.filter(pl.col("major_ver") == "4")[-1][ + "date" + ].item() + first_kernel5: date = weekly_kernel_df.filter(pl.col("major_ver") == "5")[0][ + "date" + ].item() + last_kernel5: date = weekly_kernel_df.filter(pl.col("major_ver") == "5")[-1][ + "date" + ].item() + mo.md( + rf""" + + A timeline analysis of the kernels used to report daily downloads shows that people generally + adopt new major kernel versons at roughly the same time. This change is especially stark between + major kernel versions 5 and 6, which seem to have traded place in usage almost over night. + + The first time that major version 5 of the kernel shows up is on {first_kernel5}. From here, it + took a long time for the last of the version 4 kernels to disappear, coinciding with the big + switch between major version 5 and 6. The last time a major version 4 is seen is on + {last_kernel4}, while the last major version 5 kernels still pop up. + It would seem, then, that the people still running kernel version 4 used the opportunity of + everybody switching to the stable version of 6 to also upgrade their machines. + + """ + ) + return + + @app.cell(hide_code=True) def _(): mo.md( From 094aa34758602b11b8b6bce10403e710b89cf447 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 21:27:27 +0200 Subject: [PATCH 29/36] Overhaul text cells --- popcorn.py | 76 +++++++++++++++++++++++++++++++++--------------------- 1 file changed, 46 insertions(+), 30 deletions(-) diff --git a/popcorn.py b/popcorn.py index 04d8641..dc1cc61 100644 --- a/popcorn.py +++ b/popcorn.py @@ -75,28 +75,26 @@ def _(): r""" ## Daily statistics file size - The simplest operation we can do is look at the overall file size for each - of the daily statistics files over time. The files consist of a long list - of packages which have been downloaded from the repositories that day, - along with the number of downloads. It also consists of the same list - separated by specifically downloaded versions of packages, so if somebody - downloads v0.9.1 and somebody else downloads v0.9.3 this would count both - downloads separately. + The simplest operation we can do is look at the overall file size for each of the daily + statistics files over time. The files consist of a long list of packages which have been checked + from the repositories that day, along with the number of package instances. It also consists of + the same list separated by specifically installed versions of packages, so if somebody has + v0.9.1 and somebody else v0.9.3 instead this would count both packages separately. - Another count is the number of different Kernels that have been used to - download (or downloaded?) from the repositories. + Another count is the number of different Kernels that have been used on that day, with their + exact kernel name including major version, minor version and any suffix. - These are the major things that will lead to size increases in the file, - but not just for an increased amount of downloads --- we will get to those shortly. + These are the major things that will lead to size increases in the file, but not just for an + increased amount of absolute users, packages or uploads --- we will get to those shortly. - No, an increase in file size here mainly suggests an increase in the - 'breadth' of files on offer in the repository, whether that be a wider - variety of program versions or more different packages that people are - interested in. + No, an increase in file size here mainly suggests an increase in the 'breadth' of files on offer + in the repository, whether that be a wider variety of program versions or more different + packages that people are interested in, and those that the community chooses to use. + + So while the overall amount of packages gives a general estimate of the interest in the + distribution, this can show a more 'distributor'-aligned view on how many different aisles of + the buffet people are eating from. - So while the overall amount of downloads gives a general estimate of the - interest in the distribution, this can show a more 'distributor'-aligned - view on how many different aisles of the buffet people are eating from. """ ) return @@ -122,13 +120,18 @@ def _(): mo.md( r""" - As we can see, the difference over time is massive. Especially early on, - between 2019 and the start of 2021, the amount of different stuff - downloaded grew rapidly, with the pace picking up again starting 2023. + As we can see, the difference over time is massive. Especially early on, between 2019 and the + start of 2021, the amount of different packages and package versions used grew rapidly, with the + pace picking up once again starting 2023. - There are a few outliers with a size of 0 kB, which we will remove from the - data. There are also a few days where the modification date of the file - does not correspond to the represented statistical date. + There are a few outlier days with a size of 0 kB, which we will remove from the data. In all + likelihood, those days were not reported correctly or there was some kind of issue on the + backend so the stats for those days are lost. + + There are also a few days where the modification date of the file does not correspond to the + represented statistical date but those are kept. This rather points to certain times when the + files have been moved on the backend, or recreated externally but does not mean the data are + bad. """ ) @@ -159,14 +162,15 @@ def _(): def _(): mo.md( r""" - ## Download statistics + ## Package statistics - Now that we have an idea of how the overall interest in the distribution - has changed over time, let's look at the actual download statistics. + Now that we have an idea of how the overall interest in the distribution has changed over time, + let's look at the actual package statistics. + + The popcorn files contain two main pieces of information: the number of installs per package + (e.g. how many people have rsync installed) and the number of unique installs (i.e. unique + machines providing statistics). We will look at both of these in turn. - The popcorn files contain two main pieces of information: the number of - unique installs (i.e. unique machines downloading packages) and the number - of downloads per package. We will look at both of these in turn. """ ) return @@ -195,6 +199,18 @@ def _(df_pkg_lazy: pl.LazyFrame): return +@app.cell(hide_code=True) +def _(): + mo.md( + r""" + + The amount of packages installed on all machines increases strongly over time. + + """ + ) + return + + @app.cell def _(df_pkg_lazy: pl.LazyFrame): def _(): From ad50b196315a3d59316a10c2b418a71237adb5c4 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Mon, 29 Sep 2025 21:27:27 +0200 Subject: [PATCH 30/36] Rename weekly package installations plot --- popcorn.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/popcorn.py b/popcorn.py index dc1cc61..b1ea51e 100644 --- a/popcorn.py +++ b/popcorn.py @@ -191,7 +191,8 @@ def _(df_pkg_lazy: pl.LazyFrame): + lp.geom_line() + lp.geom_smooth(method="loess") + lp.labs( - title="Weekly downloads", + title="Weekly package installations", + caption="Count of all installed packages aggregated for each week", ) ) From 9d64e93486cffc75190df2b88e935ccf5643458e Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Tue, 30 Sep 2025 08:14:46 +0200 Subject: [PATCH 31/36] Add package install count distribution --- popcorn.py | 99 +++++++++++++++++++++++++++++++++++++++++------------- 1 file changed, 76 insertions(+), 23 deletions(-) diff --git a/popcorn.py b/popcorn.py index b1ea51e..6ad3057 100644 --- a/popcorn.py +++ b/popcorn.py @@ -293,32 +293,85 @@ def _(): @app.cell def _(df_pkg_lazy: pl.LazyFrame): - DISPLAY_TOP = 20 - df_pkg_dl = df_pkg_lazy.group_by("package").agg(pl.col("downloads").sum()).collect() + df_pkg_dl = df_pkg_lazy.group_by("package").agg(pl.col("downloads").sum()) - lp.gggrid( - [ - lp.ggplot( - df_pkg_dl.sort("downloads", descending=True).head(DISPLAY_TOP), - lp.aes("package", "downloads"), - ) - + lp.geom_bar(stat="identity") + def _(): + DISPLAY_LIMIT = 20 + + return lp.gggrid( + [ + lp.ggplot( + df_pkg_dl.sort("downloads", descending=True) + .head(DISPLAY_LIMIT) + .collect(), + lp.aes("package", "downloads"), + ) + + lp.geom_bar(stat="identity") + + lp.labs( + title="Top packages", + caption="Most installed packages over all time", + ), + lp.ggplot( + df_pkg_dl.sort("downloads", descending=False) + # this seems arbitrary but gives a better result? + .head(DISPLAY_LIMIT) + .collect(), + lp.aes("package", "downloads"), + ) + + lp.geom_bar(stat="identity") + + lp.labs( + title="Rare packages", + caption="Least often installed packages", + ), + ], + ncol=1, + ) + + _() + return + + +@app.cell(hide_code=True) +def _(df_pkg_dl: pl.LazyFrame): + def _(): + return ( + lp.ggplot(df_pkg_dl.collect(), lp.aes("downloads")) + + lp.geom_freqpoly(stat="bin") + lp.labs( - title="Top packages", - caption="Most updated packages over all time", - ), - lp.ggplot( - df_pkg_dl.sort("downloads", descending=False).head(DISPLAY_TOP), - lp.aes("package", "downloads"), + title="Package installation count distribution", ) - + lp.geom_bar(stat="identity") - + lp.labs( - title="Rarest packages", - caption="Least updated packages over all time", - ), - ], - ncol=1, - ) + ) + + _() + return + + +@app.cell(hide_code=True) +def _(df_pkg_dl: pl.LazyFrame): + def _(): + def get_num(df: pl.LazyFrame) -> int: + return df.count().collect().item(0, 0) + + one_install = df_pkg_dl.sort("downloads", descending=False).filter( + pl.col("downloads") == 1 + ) + two_installs = df_pkg_dl.sort("downloads", descending=False).filter( + (pl.col("downloads") >= 2) & (pl.col("downloads") < 10) + ) + three_installs = df_pkg_dl.sort("downloads", descending=False).filter( + (pl.col("downloads") >= 10) & (pl.col("downloads") < 20) + ) + # TODO: Fix for new filters above + return mo.md(rf""" + + There are {get_num(one_install)} packages which have exactly a single + installation in the data, {get_num(two_installs)} packages with exactly + two installations, and {get_num(three_installs)} packages with exactly + three. + + """) + + _() return From e393768d30e3643dea8b253bf6a34d4cfea8e2e1 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Tue, 30 Sep 2025 08:14:46 +0200 Subject: [PATCH 32/36] Update wordings and lazy collects --- popcorn.py | 55 ++++++++++++++++++++++++------------------------------ 1 file changed, 24 insertions(+), 31 deletions(-) diff --git a/popcorn.py b/popcorn.py index 6ad3057..0e66df6 100644 --- a/popcorn.py +++ b/popcorn.py @@ -154,7 +154,8 @@ def _(): .fill_null(0) .head(LIMIT_ROWS) # FIXME: take out after debug ) - df_pkg_lazy.collect() + # give small df preview + df_pkg_lazy.head(100).collect() return @@ -179,19 +180,18 @@ def _(): @app.cell def _(df_pkg_lazy: pl.LazyFrame): def _(): - weekly_downloads = ( + weekly_packages = ( df_pkg_lazy.sort("date") .group_by_dynamic("date", every="1w") .agg(pl.col("downloads").sum()) .sort("date") - .collect() ) return ( - lp.ggplot(weekly_downloads, lp.aes("date", "downloads")) + lp.ggplot(weekly_packages.collect(), lp.aes("date", "downloads")) + lp.geom_line() + lp.geom_smooth(method="loess") + lp.labs( - title="Weekly package installations", + title="Weekly package ownership", caption="Count of all installed packages aggregated for each week", ) ) @@ -215,30 +215,25 @@ def _(): @app.cell def _(df_pkg_lazy: pl.LazyFrame): def _(): - weekday_downloads = ( - df_pkg_lazy.sort("date") - .with_columns( - pl.col("date") - .dt.weekday() - .sort() - .replace_strict( - { - 1: "Mon", - 2: "Tue", - 3: "Wed", - 4: "Thu", - 5: "Fri", - 6: "Sat", - 7: "Sun", - } - ) - .alias("weekday") + weekday_downloads = df_pkg_lazy.sort("date").with_columns( + pl.col("date") + .dt.weekday() + .sort() + .replace_strict( + { + 1: "Mon", + 2: "Tue", + 3: "Wed", + 4: "Thu", + 5: "Fri", + 6: "Sat", + 7: "Sun", + } ) - .collect() + .alias("weekday") ) - return ( - lp.ggplot(weekday_downloads, lp.aes("weekday", "downloads")) + lp.ggplot(weekday_downloads.collect(), lp.aes("weekday", "downloads")) + lp.geom_bar() + lp.labs( title="Weekday downloads", @@ -253,13 +248,11 @@ def _(df_pkg_lazy: pl.LazyFrame): @app.cell def _(df_pkg_lazy: pl.LazyFrame): def _(): - month_agg_downloads = ( - df_pkg_lazy.sort("date") - .with_columns(pl.col("date").dt.month().alias("month")) - .collect() + month_agg_downloads = df_pkg_lazy.sort("date").with_columns( + pl.col("date").dt.month().alias("month") ) return ( - lp.ggplot(month_agg_downloads, lp.aes("month", "downloads")) + lp.ggplot(month_agg_downloads.collect(), lp.aes("month", "downloads")) + lp.geom_bar() + lp.labs( title="Monthwise downloads", From 07bd122aaf27a3bd1d418ac68267616f6f189590 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Tue, 30 Sep 2025 11:13:30 +0200 Subject: [PATCH 33/36] Change to streaming engine for lazy operations --- popcorn.py | 22 ++-- pyproject.toml | 1 + uv.lock | 274 +++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 286 insertions(+), 11 deletions(-) diff --git a/popcorn.py b/popcorn.py index 0e66df6..d5ad008 100644 --- a/popcorn.py +++ b/popcorn.py @@ -155,7 +155,7 @@ def _(): .head(LIMIT_ROWS) # FIXME: take out after debug ) # give small df preview - df_pkg_lazy.head(100).collect() + df_pkg_lazy.head(100).collect(engine="streaming") return @@ -187,7 +187,7 @@ def _(df_pkg_lazy: pl.LazyFrame): .sort("date") ) return ( - lp.ggplot(weekly_packages.collect(), lp.aes("date", "downloads")) + lp.ggplot(weekly_packages.collect(engine="streaming"), lp.aes("date", "downloads")) + lp.geom_line() + lp.geom_smooth(method="loess") + lp.labs( @@ -233,7 +233,7 @@ def _(df_pkg_lazy: pl.LazyFrame): .alias("weekday") ) return ( - lp.ggplot(weekday_downloads.collect(), lp.aes("weekday", "downloads")) + lp.ggplot(weekday_downloads.collect(engine="streaming"), lp.aes("weekday", "downloads")) + lp.geom_bar() + lp.labs( title="Weekday downloads", @@ -252,7 +252,7 @@ def _(df_pkg_lazy: pl.LazyFrame): pl.col("date").dt.month().alias("month") ) return ( - lp.ggplot(month_agg_downloads.collect(), lp.aes("month", "downloads")) + lp.ggplot(month_agg_downloads.collect(engine="streaming"), lp.aes("month", "downloads")) + lp.geom_bar() + lp.labs( title="Monthwise downloads", @@ -296,7 +296,7 @@ def _(df_pkg_lazy: pl.LazyFrame): lp.ggplot( df_pkg_dl.sort("downloads", descending=True) .head(DISPLAY_LIMIT) - .collect(), + .collect(engine="streaming"), lp.aes("package", "downloads"), ) + lp.geom_bar(stat="identity") @@ -308,7 +308,7 @@ def _(df_pkg_lazy: pl.LazyFrame): df_pkg_dl.sort("downloads", descending=False) # this seems arbitrary but gives a better result? .head(DISPLAY_LIMIT) - .collect(), + .collect(engine="streaming"), lp.aes("package", "downloads"), ) + lp.geom_bar(stat="identity") @@ -328,7 +328,7 @@ def _(df_pkg_lazy: pl.LazyFrame): def _(df_pkg_dl: pl.LazyFrame): def _(): return ( - lp.ggplot(df_pkg_dl.collect(), lp.aes("downloads")) + lp.ggplot(df_pkg_dl.collect(engine="streaming"), lp.aes("downloads")) + lp.geom_freqpoly(stat="bin") + lp.labs( title="Package installation count distribution", @@ -343,7 +343,7 @@ def _(df_pkg_dl: pl.LazyFrame): def _(df_pkg_dl: pl.LazyFrame): def _(): def get_num(df: pl.LazyFrame) -> int: - return df.count().collect().item(0, 0) + return df.count().collect(engine="streaming").item(0, 0) one_install = df_pkg_dl.sort("downloads", descending=False).filter( pl.col("downloads") == 1 @@ -399,7 +399,7 @@ def _(): ) kernel_df_v99 = ( - kernel_df_lazy.filter(pl.col("major_ver") == 99).collect().select("date") + kernel_df_lazy.filter(pl.col("major_ver") == 99).collect(engine="streaming").select("date") ) kernel_df_lazy = kernel_df_lazy.filter(pl.col("major_ver") != 99) @@ -409,7 +409,7 @@ def _(): .group_by("major_ver") .agg(pl.col("downloads").sum()) .sort("major_ver") - .collect(), + .collect(engine="streaming"), lp.aes("major_ver", "downloads"), ) + lp.geom_bar(stat="identity") @@ -448,7 +448,7 @@ def _(kernel_df_lazy: pl.LazyFrame): .sort("date") .group_by_dynamic("date", every="1w", group_by="major_ver") .agg(pl.col("downloads").sum()) - .collect() + .collect(engine="streaming") ) ( diff --git a/pyproject.toml b/pyproject.toml index 5fa864a..5f30190 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,6 +8,7 @@ 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name = "sniffio" version = "1.3.1" @@ -1184,6 +1456,7 @@ dependencies = [ { name = "great-tables" }, { name = "lets-plot" }, { name = "marimo", extra = ["recommended"] }, + { name = "matplotlib" }, { name = "polars" }, ] @@ -1197,6 +1470,7 @@ requires-dist = [ { name = "great-tables", specifier = ">=0.18.0" }, { name = "lets-plot", specifier = ">=4.7.3" }, { name = "marimo", extras = ["recommended"], specifier = ">=0.16.2" }, + { name = "matplotlib", specifier = ">=3.10.6" }, { name = "polars", specifier = ">=1.33.1" }, ] From 63ae4a19829fd80d058e8c250e9c9ba2d07d40b8 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Tue, 30 Sep 2025 11:13:30 +0200 Subject: [PATCH 34/36] Get data from parquet files --- popcorn.py | 1 + 1 file changed, 1 insertion(+) diff --git a/popcorn.py b/popcorn.py index d5ad008..4f6780a 100644 --- a/popcorn.py +++ b/popcorn.py @@ -15,6 +15,7 @@ with app.setup: LIMIT_ROWS = 500_000 DATA_RAW_DIR = "data/raw" DATA_CLEAN_DIR = "data/cleaned" + DATA_PARQUET_DIR = "data/parquet" @app.cell(hide_code=True) From 0618814c4945b869e693f6dc420ad4626c23e072 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Tue, 30 Sep 2025 11:25:15 +0200 Subject: [PATCH 35/36] Make limits for quick iteration toggleable --- popcorn.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/popcorn.py b/popcorn.py index 4f6780a..2361179 100644 --- a/popcorn.py +++ b/popcorn.py @@ -12,7 +12,7 @@ with app.setup: import marimo as mo import polars as pl - LIMIT_ROWS = 500_000 + LIMIT_ROWS = 50_000 DATA_RAW_DIR = "data/raw" DATA_CLEAN_DIR = "data/cleaned" DATA_PARQUET_DIR = "data/parquet" @@ -153,8 +153,9 @@ def _(): ) .drop("file") .fill_null(0) - .head(LIMIT_ROWS) # FIXME: take out after debug ) + if LIMIT_ROWS: # NOTE: this is only for debugging purposes + df_pkg_lazy = df_pkg_lazy.head(LIMIT_ROWS) # give small df preview df_pkg_lazy.head(100).collect(engine="streaming") return @@ -396,14 +397,13 @@ def _(): .alias("major_ver"), pl.col("kernel").str.replace(r"(\d+\.\d+).*", "${1}").alias("minor_ver"), ) - .head(LIMIT_ROWS) # FIXME: take out after debug ) kernel_df_v99 = ( kernel_df_lazy.filter(pl.col("major_ver") == 99).collect(engine="streaming").select("date") ) - kernel_df_lazy = kernel_df_lazy.filter(pl.col("major_ver") != 99) + ( lp.ggplot( kernel_df_lazy.with_columns(pl.col("major_ver").cast(pl.String)) From 66b04648097ccd0f15dc49ae35a85237e891ed63 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Wed, 1 Oct 2025 14:42:07 +0200 Subject: [PATCH 36/36] Remove reduntant cleaning files --- clean.py | 156 ----------------------------- grab_all.sh | 13 --- popcorn.py => notebooks/popcorn.py | 0 3 files changed, 169 deletions(-) delete mode 100644 clean.py delete mode 100755 grab_all.sh rename popcorn.py => notebooks/popcorn.py (100%) diff --git a/clean.py b/clean.py deleted file mode 100644 index 5b13ac3..0000000 --- a/clean.py +++ /dev/null @@ -1,156 +0,0 @@ -import csv -import json -from datetime import datetime -from pathlib import Path -from typing import Generator - - -def json_to_daily_pkg(input_dir: Path, output_dir: Path, force: bool = False) -> None: - if not input_dir.is_dir(): - raise ValueError - output_dir.mkdir(exist_ok=True, parents=True) - - # only clean if raw files have been updated since last time - if not force and not newer_than_last_clean( - input_dir.glob("*.json"), output_dir.glob("*.csv"), desc="daily packages" - ): - return - - for j in input_dir.glob("*.json"): - with open(j) as fr: - date = j.stem - output_file = output_dir / f"{date}.csv" - try: - data = json.load(fr) - except json.JSONDecodeError: - print(f"WARN: Could not decode JSON data for file {j}") - - if "Packages" not in data: - print( - f"WARN: No correct json structure containing 'Packages' field in file {j}" - ) - - with open(output_file, "w") as fw: - writer = csv.writer(fw) - writer.writerow(["date", "package", "downloads"]) - for entry in data["Packages"]: - p_name = entry - p_count = data["Packages"][entry] - p_date = date - writer.writerow([p_date, p_name, p_count]) - # print(output_file, p_date, p_name, p_count) - - -def json_to_unique_csv(input_dir: Path, output_dir: Path, force: bool = False) -> None: - if not input_dir.is_dir(): - raise ValueError - output_dir.mkdir(exist_ok=True, parents=True) - - # only clean if raw files have been updated since last time - if not force and not newer_than_last_clean( - input_dir.glob("*.json"), output_dir.glob("*.csv"), desc="daily unique installs" - ): - return - - output_file = output_dir / "unique_installs.csv" - with open(output_file, "w") as fw: - writer = csv.writer(fw) - writer.writerow(["date", "unique"]) - - for j in input_dir.glob("*.json"): - with open(j) as fr: - date = j.stem - try: - data = json.load(fr) - except json.JSONDecodeError: - print(f"WARN: Could not decode JSON data for file {j}") - - if "UniqueInstalls" not in data: - print( - f"WARN: No correct json structure containing 'UniqueInstalls' field in file {j}" - ) - - p_date = date - p_count = data["UniqueInstalls"] - writer.writerow([p_date, p_count]) - # print(output_file, p_date, p_count) - - -def json_to_daily_kernel_csv( - input_dir: Path, output_dir: Path, force: bool = False -) -> None: - if not input_dir.is_dir(): - raise ValueError - output_dir.mkdir(exist_ok=True, parents=True) - - # only clean if raw files have been updated since last time - if not force and not newer_than_last_clean( - input_dir.glob("*.json"), output_dir.glob("*.csv"), desc="daily kernels" - ): - return - - for j in input_dir.glob("*.json"): - with open(j) as fr: - date = j.stem - output_file = output_dir / f"{date}.csv" - try: - data = json.load(fr) - except json.JSONDecodeError: - print(f"WARN: Could not decode JSON data for file {j}") - - if "Packages" not in data: - print( - f"WARN: No correct json structure containing 'XuKernel' field in file {j}" - ) - - with open(output_file, "w") as fw: - writer = csv.writer(fw) - writer.writerow(["date", "kernel", "downloads"]) - for entry in data["XuKernel"]: - p_name = entry - p_count = data["XuKernel"][entry] - p_date = date - writer.writerow([p_date, p_name, p_count]) - # print(output_file, p_date, p_name, p_count) - - -def newer_than_last_clean( - input_glob: Generator, output_glob: Generator, desc: str | None = None -) -> bool: - last_raw_update: datetime = datetime(1, 1, 1) - oldest_clean: datetime = datetime.now() - for file in input_glob: - mdate = datetime.fromtimestamp(file.stat().st_mtime) - if mdate > last_raw_update: - last_raw_update = mdate - for file in output_glob: - mdate = datetime.fromtimestamp(file.stat().st_mtime) - if mdate < oldest_clean: - oldest_clean = mdate - if oldest_clean > last_raw_update: - print( - "INFO: Skip creating cleaned data" - f"{f' for {desc}' if desc else ''}" - f", last processing {oldest_clean} newer than {last_raw_update}" - ) - return False - return True - - -def main(input: str, output: str) -> None: - json_to_daily_pkg(Path(input) / "daily", Path(output) / "daily", force=True) - json_to_unique_csv(Path(input) / "daily", Path(output), force=True) - json_to_daily_kernel_csv( - Path(input) / "daily", Path(output) / "kernels", force=True - ) - - -if __name__ == "__main__": - import sys - - if not len(sys.argv) == 3: - print("Please provide exactly one input directory and one output directory.") - sys.exit(1) - inp = sys.argv[1] - out = sys.argv[2] - main(inp, out) diff --git a/grab_all.sh b/grab_all.sh deleted file mode 100755 index 24e2c1c..0000000 --- a/grab_all.sh +++ /dev/null @@ -1,13 +0,0 @@ -#!/usr/bin/env bash - -base_url="https://popcorn.voidlinux.org/popcorn_" -ft=".json" - -start_date="2018-05-08" -end_date="2025-09-25" -while [[ "$start_date" != "$end_date" ]]; do - echo "$start_date" - start_date=$(date --date "$start_date + 1 day" +"%Y-%m-%d") - wget -O "${start_date}.json" "${base_url}${start_date}${ft}" -done -Copy diff --git a/popcorn.py b/notebooks/popcorn.py similarity index 100% rename from popcorn.py rename to notebooks/popcorn.py