1
0

updating c1 for ww

This commit is contained in:
Matthew Gaughan 2025-04-30 21:35:20 -07:00
parent 1433ea5d09
commit 5add2f9992
9 changed files with 131 additions and 17 deletions

View File

@ -151,3 +151,20 @@ lds
ls
cd ../case2
ls
ls /gscratch/comdata/users/mjilg/mw-repo-lifecycles/commit_data/bot_frameworks
cd /gscratch/comdata/users/mjilg/mw-repo-lifecycles/commit_data/bot_frameworks
ls
cd ..
ls
mkdir php_and_python_bots
rm -r php_and_python_bots
ls
ls bot_frameworks
cd /mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/
ls
rm event_0430_framework_commit_counts.csv
ls
cd ..
ls
cd case2
ls

View File

@ -0,0 +1,67 @@
library(tidyverse)
count_data_fp <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/event_0430_framework_commit_counts.csv"
input_df <- read.csv(count_data_fp, header = TRUE)
input_df$nonbot_commit_count <- input_df$commit_count - input_df$bot_commit_count
input_df$unaff_commit_count <- input_df$nonbot_commit_count - input_df$wikimedia_commit_count
library(scales)
library(ggplot2)
long_df <- input_df |>
tidyr::pivot_longer(cols = c(unaff_commit_count, wikimedia_commit_count),
names_to = "commit_type",
values_to = "lengthened_commit_count")
summed_df <- long_df |>
group_by(relative_week, project, commit_type) |>
summarize(total_commits = sum(lengthened_commit_count), .groups = 'drop')
affiliationColors <-
setNames( c('#5da2d8', '#c7756a')
,c("unaff_commit_count", "wikimedia_commit_count"))
commit_authors <- summed_df |>
ggplot(aes(x=relative_week,
y=total_commits,
fill=factor(commit_type))) +
geom_col(position='dodge') +
labs(x = "Relative Week", y = "Commits", fill="Commit Type") +
scale_fill_manual(values = affiliationColors,
labels = c("unaff_commit_count" = "Unaffiliated Commits",
"wikimedia_commit_count" = "WMF Commits")) +
ggtitle("Weekly Commits to Bot Frameworks During VE Deployment") +
theme_bw() +
theme(legend.position = "top")
commit_authors
ggsave(filename = "ww-c1-0430-bot-commits.png", plot = commit_authors, width = 12, height = 9, dpi = 800)
input_df$returning_unaff_commit_count = input_df$unaff_commit_count - input_df$unaff_new_commit_count
new_authors_long_df <- input_df |>
filter(relative_week >= -4) |>
tidyr::pivot_longer(cols = c(unaff_new_commit_count, returning_unaff_commit_count),
names_to = "commit_seniority",
values_to = "lengthened_commit_count")
new_unaff_authors <- new_authors_long_df |>
ggplot(aes(x=relative_week,
y=lengthened_commit_count,
fill=commit_seniority)) +
geom_col(position='dodge') +
labs(x = "Relative Week", y = "Commits", fill="Commit Seniority ('New' contributors <= 5 commits before 06-06-2013)") +
scale_fill_manual(values = c("returning_unaff_commit_count" = "#FFC107", # Color for "Returning Contributors"
"unaff_new_commit_count" = "#004D40"),
labels = c("returning_unaff_commit_count" = "Returning Contributors",
"unaff_new_commit_count" = "New Contributors")
) +
ggtitle("Unaffiliated Bot Framework Commits Surrounding VE Deployment") +
theme_bw() +
theme(legend.position = "top")
new_unaff_authors
ggsave(filename = "ww-c1-0430-bot-spike.png", plot = new_unaff_authors, width = 12, height = 9, dpi = 800)

View File

@ -20,9 +20,9 @@ all_data <- csv_files %>%
map_df(read_and_label)
# TODO: this is project/event specific
event_date <- as.Date("2013-07-01")
#event_date <- as.Date("2013-04-25")
#event_date <- as.Date("2012-12-11")
#event_date <- as.Date("2013-07-01")
#event_date <- as.Date("2013-08-28")
event_date <- as.Date("2015-07-02")
df <- all_data |>
mutate(commit_date = ymd_hms(commit_date))
@ -33,27 +33,40 @@ df <- df %>%
ungroup() %>%
mutate(age = as.numeric(as.Date("2025-02-10") - oldest_commit_date))
filtered_df <- df %>%
#discard projects who are created after the focal event date
df <- df %>%
group_by(project) %>%
filter(min(as.Date(commit_date)) <= event_date) %>%
ungroup()
calculated_start_date <- event_date %m-% months(12)
start_date <- max(calculated_start_date, df$oldest_commit_date)
end_date <- event_date %m+% months(12)
#calculated_start_date <- event_date %m-% months(12)
#%start_date <- max(calculated_start_date, df$oldest_commit_date)
#end_date <- event_date %m+% months(12)
#getting the relative weeks to the publication date
relative_week <- function(date, ref_date) {
as.integer(as.numeric(difftime(date, ref_date, units = "days")) %/% 7)
}
filtered_df <- filtered_df |>
old_author_list <- df |>
filter(commit_date > as.Date("2013-07-01") & commit_date < as.Date("2015-06-12"))|>
group_by(author_email) |>
summarise(commit_count = n()) |>
filter(commit_count > 5) |>
pull(author_email)
df <- df |>
mutate(new_author = ifelse(author_email %in% old_author_list, 0, 1),
new_author_wmf = if_else(grepl("@wikimedia", author_email),
new_author, 0),
new_author_unaff = if_else(!grepl("@wikimedia", author_email) &
!grepl("l10n-bot@translatewiki.net|tools.libraryupgrader@tools.wmflabs.org", author_email),
new_author, 0))
filtered_df <- df |>
mutate(relative_week = relative_week(commit_date, event_date)) |>
arrange(relative_week) |>
group_by(author_email) |>
mutate(new_author = ifelse(row_number() <= 5, 1, 0),
new_author_wmf = if_else(grepl("@wikimedia", author_email), new_author, 0),
new_author_unaff = if_else(!grepl("@wikimedia", author_email), new_author, 0)) |>
filter(relative_week >= (-104) & relative_week <= 13) |>
ungroup()
@ -66,8 +79,8 @@ weekly_commits <- filtered_df |>
wikimedia_commit_count = sum(grepl("@wikimedia", author_email)),
wikia_commit_count = sum(grepl("@wikia-inc.com", author_email)),
bot_commit_count = sum(grepl("l10n-bot@translatewiki.net|tools.libraryupgrader@tools.wmflabs.org", author_email)),
wmf_ft_commit_count = sum(new_author_wmf),
unaff_ft_commit_count = sum(new_author_unaff),
wmf_new_commit_count = sum(new_author_wmf),
unaff_new_commit_count = sum(new_author_unaff),
.groups = 'drop') |>
replace_na(list(commit_count = 0)) |>
replace_na(list(wikimedia_commit_count = 0)) |>
@ -81,10 +94,10 @@ weekly_commits <- filtered_df |>
select(-author_emails, -committer_emails)
weekly_commits <- weekly_commits |>
filter(relative_week >= (-52) & relative_week <= 52 )
#weekly_commits <- weekly_commits |>
# filter(relative_week >= (-52) & relative_week <= 52 )
weekly_commits
output_filepath <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/event_0314_bot_frameworks_weekly_commit_count_data.csv"
output_filepath <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case3/event_0430_framework_commit_counts.csv"
write.csv(weekly_commits, output_filepath, row.names = FALSE)

View File

@ -0,0 +1,17 @@
1. SSH tunnel from your workstation using the following command:
ssh -N -L 8787:n3439:35643 mjilg@klone.hyak.uw.edu
and point your web browser to http://localhost:8787
2. log in to RStudio Server using the following credentials:
user: mjilg
password: 02hEI/v9ULdd5eUb4E2f
When done using RStudio Server, terminate the job by:
1. Exit the RStudio Session ("power" button in the top right corner of the RStudio window)
2. Issue the following command on the login node:
scancel -f 25646212

BIN
ww-c1-0430-bot-commits.png Normal file

Binary file not shown.

After

Width:  |  Height:  |  Size: 391 KiB

BIN
ww-c1-0430-bot-spike.png Normal file

Binary file not shown.

After

Width:  |  Height:  |  Size: 431 KiB

BIN
ww-c2-0430-bot-spike.png Normal file

Binary file not shown.

After

Width:  |  Height:  |  Size: 421 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 381 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 425 KiB