updating c1 for ww
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@ -151,3 +151,20 @@ lds
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ls
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cd ../case2
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ls
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ls /gscratch/comdata/users/mjilg/mw-repo-lifecycles/commit_data/bot_frameworks
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cd /gscratch/comdata/users/mjilg/mw-repo-lifecycles/commit_data/bot_frameworks
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ls
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cd ..
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ls
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mkdir php_and_python_bots
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rm -r php_and_python_bots
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ls
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ls bot_frameworks
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cd /mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/
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ls
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rm event_0430_framework_commit_counts.csv
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ls
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cd ..
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ls
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cd case2
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ls
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67
commit_analysis/bot-framework-commits.R
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67
commit_analysis/bot-framework-commits.R
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library(tidyverse)
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count_data_fp <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/event_0430_framework_commit_counts.csv"
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input_df <- read.csv(count_data_fp, header = TRUE)
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input_df$nonbot_commit_count <- input_df$commit_count - input_df$bot_commit_count
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input_df$unaff_commit_count <- input_df$nonbot_commit_count - input_df$wikimedia_commit_count
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library(scales)
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library(ggplot2)
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long_df <- input_df |>
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tidyr::pivot_longer(cols = c(unaff_commit_count, wikimedia_commit_count),
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names_to = "commit_type",
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values_to = "lengthened_commit_count")
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summed_df <- long_df |>
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group_by(relative_week, project, commit_type) |>
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summarize(total_commits = sum(lengthened_commit_count), .groups = 'drop')
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affiliationColors <-
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setNames( c('#5da2d8', '#c7756a')
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,c("unaff_commit_count", "wikimedia_commit_count"))
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commit_authors <- summed_df |>
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ggplot(aes(x=relative_week,
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y=total_commits,
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fill=factor(commit_type))) +
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geom_col(position='dodge') +
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labs(x = "Relative Week", y = "Commits", fill="Commit Type") +
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scale_fill_manual(values = affiliationColors,
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labels = c("unaff_commit_count" = "Unaffiliated Commits",
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"wikimedia_commit_count" = "WMF Commits")) +
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ggtitle("Weekly Commits to Bot Frameworks During VE Deployment") +
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theme_bw() +
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theme(legend.position = "top")
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commit_authors
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ggsave(filename = "ww-c1-0430-bot-commits.png", plot = commit_authors, width = 12, height = 9, dpi = 800)
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input_df$returning_unaff_commit_count = input_df$unaff_commit_count - input_df$unaff_new_commit_count
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new_authors_long_df <- input_df |>
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filter(relative_week >= -4) |>
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tidyr::pivot_longer(cols = c(unaff_new_commit_count, returning_unaff_commit_count),
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names_to = "commit_seniority",
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values_to = "lengthened_commit_count")
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new_unaff_authors <- new_authors_long_df |>
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ggplot(aes(x=relative_week,
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y=lengthened_commit_count,
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fill=commit_seniority)) +
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geom_col(position='dodge') +
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labs(x = "Relative Week", y = "Commits", fill="Commit Seniority ('New' contributors <= 5 commits before 06-06-2013)") +
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scale_fill_manual(values = c("returning_unaff_commit_count" = "#FFC107", # Color for "Returning Contributors"
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"unaff_new_commit_count" = "#004D40"),
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labels = c("returning_unaff_commit_count" = "Returning Contributors",
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"unaff_new_commit_count" = "New Contributors")
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) +
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ggtitle("Unaffiliated Bot Framework Commits Surrounding VE Deployment") +
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theme_bw() +
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theme(legend.position = "top")
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new_unaff_authors
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ggsave(filename = "ww-c1-0430-bot-spike.png", plot = new_unaff_authors, width = 12, height = 9, dpi = 800)
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@ -20,9 +20,9 @@ all_data <- csv_files %>%
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map_df(read_and_label)
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# TODO: this is project/event specific
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event_date <- as.Date("2013-07-01")
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#event_date <- as.Date("2013-04-25")
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#event_date <- as.Date("2012-12-11")
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#event_date <- as.Date("2013-07-01")
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#event_date <- as.Date("2013-08-28")
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event_date <- as.Date("2015-07-02")
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df <- all_data |>
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mutate(commit_date = ymd_hms(commit_date))
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@ -33,27 +33,40 @@ df <- df %>%
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ungroup() %>%
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mutate(age = as.numeric(as.Date("2025-02-10") - oldest_commit_date))
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filtered_df <- df %>%
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#discard projects who are created after the focal event date
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df <- df %>%
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group_by(project) %>%
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filter(min(as.Date(commit_date)) <= event_date) %>%
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ungroup()
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calculated_start_date <- event_date %m-% months(12)
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start_date <- max(calculated_start_date, df$oldest_commit_date)
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end_date <- event_date %m+% months(12)
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#calculated_start_date <- event_date %m-% months(12)
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#%start_date <- max(calculated_start_date, df$oldest_commit_date)
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#end_date <- event_date %m+% months(12)
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#getting the relative weeks to the publication date
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relative_week <- function(date, ref_date) {
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as.integer(as.numeric(difftime(date, ref_date, units = "days")) %/% 7)
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}
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filtered_df <- filtered_df |>
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old_author_list <- df |>
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filter(commit_date > as.Date("2013-07-01") & commit_date < as.Date("2015-06-12"))|>
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group_by(author_email) |>
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summarise(commit_count = n()) |>
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filter(commit_count > 5) |>
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pull(author_email)
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df <- df |>
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mutate(new_author = ifelse(author_email %in% old_author_list, 0, 1),
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new_author_wmf = if_else(grepl("@wikimedia", author_email),
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new_author, 0),
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new_author_unaff = if_else(!grepl("@wikimedia", author_email) &
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!grepl("l10n-bot@translatewiki.net|tools.libraryupgrader@tools.wmflabs.org", author_email),
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new_author, 0))
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filtered_df <- df |>
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mutate(relative_week = relative_week(commit_date, event_date)) |>
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arrange(relative_week) |>
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group_by(author_email) |>
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mutate(new_author = ifelse(row_number() <= 5, 1, 0),
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new_author_wmf = if_else(grepl("@wikimedia", author_email), new_author, 0),
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new_author_unaff = if_else(!grepl("@wikimedia", author_email), new_author, 0)) |>
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filter(relative_week >= (-104) & relative_week <= 13) |>
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ungroup()
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@ -66,8 +79,8 @@ weekly_commits <- filtered_df |>
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wikimedia_commit_count = sum(grepl("@wikimedia", author_email)),
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wikia_commit_count = sum(grepl("@wikia-inc.com", author_email)),
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bot_commit_count = sum(grepl("l10n-bot@translatewiki.net|tools.libraryupgrader@tools.wmflabs.org", author_email)),
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wmf_ft_commit_count = sum(new_author_wmf),
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unaff_ft_commit_count = sum(new_author_unaff),
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wmf_new_commit_count = sum(new_author_wmf),
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unaff_new_commit_count = sum(new_author_unaff),
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.groups = 'drop') |>
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replace_na(list(commit_count = 0)) |>
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replace_na(list(wikimedia_commit_count = 0)) |>
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@ -81,10 +94,10 @@ weekly_commits <- filtered_df |>
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select(-author_emails, -committer_emails)
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weekly_commits <- weekly_commits |>
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filter(relative_week >= (-52) & relative_week <= 52 )
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#weekly_commits <- weekly_commits |>
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# filter(relative_week >= (-52) & relative_week <= 52 )
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weekly_commits
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output_filepath <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/event_0314_bot_frameworks_weekly_commit_count_data.csv"
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output_filepath <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case3/event_0430_framework_commit_counts.csv"
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write.csv(weekly_commits, output_filepath, row.names = FALSE)
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17
mgaughan-rstudio-server_25646212.out
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17
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1. SSH tunnel from your workstation using the following command:
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ssh -N -L 8787:n3439:35643 mjilg@klone.hyak.uw.edu
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and point your web browser to http://localhost:8787
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2. log in to RStudio Server using the following credentials:
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user: mjilg
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password: 02hEI/v9ULdd5eUb4E2f
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When done using RStudio Server, terminate the job by:
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1. Exit the RStudio Session ("power" button in the top right corner of the RStudio window)
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2. Issue the following command on the login node:
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scancel -f 25646212
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ww-c1-0430-bot-commits.png
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ww-c1-0430-bot-spike.png
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ww-c2-0430-bot-spike.png
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ww-figures/ww-c2-0430-bot-commits.png
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ww-figures/ww-c3-0430-bot-spike.png
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ww-figures/ww-c3-0430-bot-spike.png
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