diff --git a/index.Rmd b/index.Rmd
index 8af313d..ad120ee 100644
--- a/index.Rmd
+++ b/index.Rmd
@@ -6,69 +6,201 @@ output:
toc: true
toc_depth: 2
dev: jpeg
+ pdf_document: default
---
-```{r setup, echo=FALSE, message=FALSE, warning=FALSE}
-# Set so that long lines in R will be wrapped:
-knitr::opts_chunk$set(tidy.opts = list(width.cutoff = 60), tidy = TRUE)
-```
-
The following data is based purely on public knowledge. This means data is fetched from github and gitlab as best as I was able to.
# Fetching the MSCs
-```{r message=FALSE, warning=FALSE, dpi=300}
+```{r message=FALSE, warning=FALSE, dpi=300, tidy = "styler"}
+# Setup things
library(gh)
library(tidyverse)
-library(nplyr)
+library(ggplot2)
# Set theme
theme_set(theme_bw())
# gh_whoami()
+```
-# Fetch all issues that are a proposal
-if (!exists("issues_all")) {
- issues_raw <- gh(
- "GET /repos/matrix-org/matrix-spec-proposals/issues", sort = "created",
- state = "all", direction = "asc", labels = "proposal"
- )
- issues <- as.data.frame(do.call(rbind, issues_raw))
+```{r message=FALSE, warning=FALSE, dpi=300, tidy = "styler"}
- data <- list()
- data[[1]] <- issues
+cleanup_data <- function(prs_gql) {
+ prs_gql <- prs_gql[[1]][[1]][[1]][[2]]
+ for (i in 1:length(prs_gql)) {
+ prs_gql[[i]] <- prs_gql[[i]]$node
+ prs_gql[[i]]$temp_labels <- NA
+ if (length(prs_gql[[i]]$labels$edges) >= 1) {
+ prs_gql[[i]]$temp_labels <- list()
+ for (y in 1:length(prs_gql[[i]]$labels$edges)) {
+ prs_gql[[i]]$temp_labels[[y]] <- prs_gql[[i]]$labels$edges[[y]]$node
+ }
- # Paginate API
- while (TRUE) {
- issues_raw <- try(
- {
- gh_next(issues_raw)
- }, silent = TRUE
- )
- if (inherits(issues_raw, "try-error")) {
- break
- } else {
- temp <- as.data.frame(do.call(rbind, issues_raw))
- data[[length(data) + 1]] <- temp
- }
+ prs_gql[[i]]$temp_labels <- map(prs_gql[[i]]$temp_labels, as.data.frame)
+ prs_gql[[i]]$temp_labels <- do.call(rbind, prs_gql[[i]]$temp_labels)
}
- issues_all <- do.call(rbind, data)
-}
+ prs_gql[[i]]$labels <- NA
+ prs_gql[[i]]$labels <- prs_gql[[i]]$temp_labels
+ prs_gql[[i]]$temp_labels <- NULL
+ }
+ prs_gql <- as.data.frame(do.call(rbind, prs_gql))
+ if (!("mergedAt" %in% colnames(prs_gql))) {
+ prs_gql$mergedAt <- NA
+ prs_gql$isPR <- FALSE
+ } else {
+ prs_gql$isPR <- TRUE
+ }
-# Filter out corrupt issues without labels
-filtered_issues <- issues_all |>
- filter(
- sapply(labels, length, simplify = TRUE) > 0
- ) |>
+ for (i in rownames(prs_gql)) {
+ author <- prs_gql[i, "author"]
+ if (!is.null(author)) {
+ prs_gql[i, "author"] <- do.call(rbind.data.frame, author)
+ }
+ }
+
+ return(prs_gql)
+}
+```
+
+```{r message=FALSE, warning=FALSE, dpi=300, tidy = "styler"}
+
+if (!exists("issues_gql_all")) {
+ issue_query <- 'query($after: String) {
+ repository(owner: "matrix-org", name: "matrix-spec-proposals") {
+ issues(
+ states: [OPEN, CLOSED]
+ orderBy: {field: CREATED_AT, direction: ASC}
+ first: 100
+ after: $after
+ ) {
+ pageInfo {
+ startCursor
+ endCursor
+ hasNextPage
+ hasPreviousPage
+ }
+ edges {
+ node {
+ title
+ url
+ author {
+ login
+ }
+ closedAt
+ createdAt
+ labels(first: 100) {
+ pageInfo {
+ startCursor
+ endCursor
+ hasNextPage
+ hasPreviousPage
+ }
+ edges {
+ node {
+ name
+ createdAt
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}'
+
+ pr_query <- 'query($after: String) {
+ repository(owner: "matrix-org", name: "matrix-spec-proposals") {
+ pullRequests(
+ states: [OPEN, CLOSED, MERGED]
+ orderBy: {field: CREATED_AT, direction: ASC}
+ first: 100
+ after: $after
+ ) {
+ pageInfo {
+ startCursor
+ endCursor
+ hasNextPage
+ hasPreviousPage
+ }
+ edges {
+ node {
+ title
+ url
+ author {
+ login
+ }
+ closedAt
+ mergedAt
+ createdAt
+ labels(first: 100) {
+ pageInfo {
+ startCursor
+ endCursor
+ hasNextPage
+ hasPreviousPage
+ }
+ edges {
+ node {
+ name
+ createdAt
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}'
+
+ issues_gql <- gh_gql(issue_query)
+ issues_gql_pageinfo <- issues_gql[[1]][[1]][[1]][[1]]
+ issues_gql <- cleanup_data(issues_gql)
+
+ gql_data <- list(issues_gql)
+
+ # Paginate API
+ while (issues_gql_pageinfo$hasNextPage) {
+ variables <- list()
+ variables$after <- issues_gql_pageinfo$endCursor
+ issues_gql <- gh_gql(issue_query, variables = variables)
+ issues_gql_pageinfo <- issues_gql[[1]][[1]][[1]][[1]]
+ issues_gql <- cleanup_data(issues_gql)
+ gql_data[[length(gql_data) + 1]] <- issues_gql
+ }
+
+ prs_gql <- gh_gql(pr_query)
+ prs_gql_pageinfo <- prs_gql[[1]][[1]][[1]][[1]]
+ prs_gql <- cleanup_data(prs_gql)
+ gql_data[[length(gql_data) + 1]] <- prs_gql
+
+ # Paginate API
+ while (prs_gql_pageinfo$hasNextPage) {
+ variables <- list()
+ variables$after <- prs_gql_pageinfo$endCursor
+ prs_gql <- gh_gql(pr_query, variables = variables)
+ prs_gql_pageinfo <- prs_gql[[1]][[1]][[1]][[1]]
+ prs_gql <- cleanup_data(prs_gql)
+ gql_data[[length(gql_data) + 1]] <- prs_gql
+ }
+
+ issues_gql_all <- do.call(rbind, gql_data)
+
+ # Cleanup
+ rm(issues_gql, prs_gql, gql_data, variables, issues_gql_pageinfo, prs_gql_pageinfo)
+
+
+ issues_gql_all <- issues_gql_all |>
rowwise()
-filtered_issues$labels <- map(filtered_issues$labels, ~do.call(rbind, .))
+}
```
# Get Employee association from Github and Gitlab
Please note that in the current PDF this is not yet hooked up to gitlab or checking the github workplace field. It may also exclude some users that are not detectable.
-```{r message=FALSE, warning=FALSE, dpi=300}
+```{r message=FALSE, warning=FALSE, dpi=300, tidy = "styler"}
# TODO also check against gitlab
# TODO also check workplace thingy
@@ -76,173 +208,144 @@ Please note that in the current PDF this is not yet hooked up to gitlab or check
# Compile a list of who is who
if (!exists("element_employee") || !exists("famedly_employee") || !exists("beeper_employee")) {
element_employee <- list()
- sct_employee <- c("ara4n","erikjohnston","richvdh","dbkr","uhoreg","anoadragon453","turt2live","KitsuneRal")
+ sct_employee <- c("ara4n", "erikjohnston", "richvdh", "dbkr", "uhoreg", "anoadragon453", "turt2live", "KitsuneRal", "matrixbot")
famedly_employee <- list("deepbluev7", "Sorunome", "MTRNord")
beeper_employee <- list("Fizzadar")
users <- list()
# Get orgs of users on github
- for (i in 1:nrow(filtered_issues)) {
- user <- filtered_issues[i, ]$user[[1]]$login
- if ((user %in% users) || (user %in% sct_employee)) {
- next
- }
- orgs_raw <- gh(sprintf("GET /users/%s/orgs", user))
- orgs <- as.data.frame(do.call(rbind, orgs_raw))
-
-
- if ("vector-im" %in% orgs$login) {
- element_employee[[length(element_employee) + 1]] <- user
- } else if ("beeper" %in% orgs$login) {
- beeper_employee[[length(beeper_employee) + 1]] <- user
- } else if ("Famedly" %in% orgs$login) {
- famedly_employee[[length(famedly_employee) + 1]] <- user
- }
- users[[length(users) + 1]] <- user
+ for (i in rownames(issues_gql_all)) {
+ user <- issues_gql_all[i, "author"]
+ user <- paste(unlist(user), collapse = "")
+ if (is.na(user) || is.null(user) || user == "") {
+ next
+ }
+ if ((user %in% users) || (user %in% sct_employee)) {
+ next
+ }
+ orgs_raw <- gh(sprintf("GET /users/%s/orgs", user))
+ orgs <- as.data.frame(do.call(rbind, orgs_raw))
+
+
+ if ("vector-im" %in% orgs$login) {
+ element_employee[[length(element_employee) + 1]] <- user
+ } else if ("beeper" %in% orgs$login) {
+ beeper_employee[[length(beeper_employee) + 1]] <- user
+ } else if ("Famedly" %in% orgs$login) {
+ famedly_employee[[length(famedly_employee) + 1]] <- user
+ }
+ users[[length(users) + 1]] <- user
}
+ rm(orgs, orgs_raw, user, author, i, users)
}
```
+# Get times for state transitions
+
+```{r message=FALSE, warning=FALSE, tidy = "styler"}
+opened_to_proposal <- issues_gql_all
+```
+
# MSCs by Company (all kind)
Note that this does not adjust for private vs company MSCs.
-```{r message=FALSE, warning=FALSE, dpi=300}
+```{r message=FALSE, warning=FALSE, dpi=300, tidy = "styler"}
# Filter MSCs by company
-merged_element <- filtered_issues |>
- filter(user$login %in% element_employee) |>
- nrow()
+mscs_element <- issues_gql_all |>
+ filter(!is.null(author) && is.element(author, element_employee)) |>
+ nrow()
-merged_sct <- filtered_issues |>
- filter(user$login %in% sct_employee) |>
- nrow()
+mscs_sct <- issues_gql_all |>
+ filter(!is.null(author) && is.element(author, sct_employee)) |>
+ nrow()
-merged_famedly <- filtered_issues |>
- filter(user$login %in% famedly_employee) |>
- nrow()
+mscs_famedly <- issues_gql_all |>
+ filter(!is.null(author) && is.element(author, famedly_employee)) |>
+ nrow()
-merged_beeper <- filtered_issues |>
- filter(user$login %in% beeper_employee) |>
- nrow()
+mscs_beeper <- issues_gql_all |>
+ filter(!is.null(author) && is.element(author, beeper_employee)) |>
+ nrow()
-merged_other <- filtered_issues |>
- filter(!(user$login %in% element_employee)) |>
- filter(!(user$login %in% famedly_employee)) |>
- filter(!(user$login %in% beeper_employee)) |>
- filter(!(user$login %in% sct_employee)) |>
- nrow()
+mscs_other <- nrow(issues_gql_all) - mscs_element - mscs_beeper - mscs_famedly - mscs_sct
+column_names <- c("Count")
# Display Data
-data <- data.frame(
- group = c("Element", "Beeper", "Famedly", "SCT", "Other"),
- value = c(merged_element, merged_beeper, merged_famedly, merged_sct, merged_other)
-)
-
-# Compute the position of labels
-data <- data |>
- filter(value != 0) |>
- arrange(desc(group)) |>
- mutate(
- prop = value/sum(data$value) *
- 100
- ) |>
- mutate(
- ypos = cumsum(prop) -
- 0.5 * prop
- )
+data <- data.frame(column_names = column_names, Element = mscs_element, Beeper = mscs_beeper, Famedly = mscs_famedly, SCT = mscs_sct, Other = mscs_other)
+data2 <- data.frame(t(data[-1]))
+colnames(data2) <- data[, 1]
+data <- data2
+data <- cbind(Company = rownames(data), data)
+rownames(data) <- 1:nrow(data)
+rownames(data) <- NULL
+rm(data2)
# Basic piechart
-ggplot(data, aes(x = "", y = prop, fill = group)) +
- geom_bar(stat = "identity", width = 1, color = "white") +
- coord_polar("y", start = 0) +
- theme_void() + labs(
- title = str_wrap("Percentage of MSCs by Contributors associated with companies", 40),
+ggplot(data, aes(x = Company, y = Count, fill = Company)) +
+ geom_bar(stat = "identity") +
+ labs(
+ title = str_wrap("Number of MSCs by Contributors associated with companies", 40),
subtitle = str_wrap(
- "Note that people may have gotten mixed or people with multiple hats may have MSCs landing in the wrong category",
- 60
+ "Note that people may have gotten mixed or people with multiple hats may have MSCs landing in the wrong category",
+ 60
),
caption = "source: Github API"
-) +
- theme(legend.position = "none") +
- geom_text(
- aes(y = ypos, label = group),
- color = "white", size = 5
- ) +
- scale_fill_brewer(palette = "Set1")
+ )
```
# Merged MSCs by Company
Note that this does not adjust for private vs company MSCs.
-```{r message=FALSE, warning=FALSE, dpi=300}
+```{r message=FALSE, warning=FALSE, dpi=300, tidy = "styler"}
# Filter for only merged MSCs
-merged_mscs <- filtered_issues |>
- filter("proposal" %in% labels) |>
- filter(("disposition-merge" %in% labels) | ("merged" %in% labels))
+merged_mscs <- issues_gql_all |>
+ filter(!is.na(labels) && is.element("proposal", labels$name) && (is.element("disposition-merge", labels$name) || is.element("merged", labels$name)))
# Filter MSCs by company
merged_element <- merged_mscs |>
- filter(user$login %in% element_employee) |>
- nrow()
+ filter(!is.null(author) && is.element(author, element_employee)) |>
+ nrow()
merged_sct <- merged_mscs |>
- filter(user$login %in% sct_employee) |>
- nrow()
+ filter(!is.null(author) && is.element(author, sct_employee)) |>
+ nrow()
merged_famedly <- merged_mscs |>
- filter(user$login %in% famedly_employee) |>
- nrow()
+ filter(!is.null(author) && is.element(author, famedly_employee)) |>
+ nrow()
merged_beeper <- merged_mscs |>
- filter(user$login %in% beeper_employee) |>
- nrow()
+ filter(!is.null(author) && is.element(author, beeper_employee)) |>
+ nrow()
-merged_other <- merged_mscs |>
- filter(!(user$login %in% element_employee)) |>
- filter(!(user$login %in% famedly_employee)) |>
- filter(!(user$login %in% beeper_employee)) |>
- filter(!(user$login %in% sct_employee)) |>
- nrow()
+merged_other <- nrow(merged_mscs) - merged_element - merged_beeper - merged_famedly - merged_sct
# Display Data
-data <- data.frame(
- group = c("Element", "Beeper", "Famedly", "SCT", "Other"),
- value = c(merged_element, merged_beeper, merged_famedly, merged_sct, merged_other)
-)
-
-# Compute the position of labels
-data <- data |>
- filter(value != 0) |>
- arrange(desc(group)) |>
- mutate(
- prop = value/sum(data$value) *
- 100
- ) |>
- mutate(
- ypos = cumsum(prop) -
- 0.5 * prop
- )
+column_names <- c("Count")
+# Display Data
+data <- data.frame(column_names = column_names, Element = merged_element, Beeper = merged_beeper, Famedly = merged_famedly, SCT = merged_sct, Other = merged_other)
+data2 <- data.frame(t(data[-1]))
+colnames(data2) <- data[, 1]
+data <- data2
+data <- cbind(Company = rownames(data), data)
+rownames(data) <- 1:nrow(data)
+rownames(data) <- NULL
+rm(data2)
# Basic piechart
-ggplot(data, aes(x = "", y = prop, fill = group)) +
- geom_bar(stat = "identity", width = 1, color = "white") +
- coord_polar("y", start = 0) +
- theme_void() + labs(
- title = str_wrap("Percentage of merged MSCs by Contributors associated with companies", 40),
+ggplot(data, aes(x = Company, y = Count, fill = Company)) +
+ geom_bar(stat = "identity") +
+ labs(
+ title = str_wrap("Number of merged MSCs by Contributors associated with companies", 40),
subtitle = str_wrap(
- "Note that people may have gotten mixed or people with multiple hats may have MSCs landing in the wrong category",
- 60
+ "Note that people may have gotten mixed or people with multiple hats may have MSCs landing in the wrong category",
+ 60
),
caption = "source: Github API"
-) +
- theme(legend.position = "none") +
- geom_text(
- aes(y = ypos, label = group),
- color = "white", size = 5
- ) +
- scale_fill_brewer(palette = "Set1")
+ )
```
diff --git a/index.md b/index.md
index 4ff963b..6425716 100644
--- a/index.md
+++ b/index.md
@@ -7,6 +7,9 @@ MTRNord
- Get Employee
association from Github and Gitlab
+- Get times for state
+ transitions
- MSCs by Company (all kind)
- Merged
@@ -18,45 +21,184 @@ is fetched from github and gitlab as best as I was able to.
# Fetching the MSCs
``` r
+# Setup things
library(gh)
library(tidyverse)
-library(nplyr)
+library(ggplot2)
# Set theme
theme_set(theme_bw())
# gh_whoami()
+```
-# Fetch all issues that are a proposal
-if (!exists("issues_all")) {
- issues_raw <- gh("GET /repos/matrix-org/matrix-spec-proposals/issues",
- sort = "created", state = "all", direction = "asc", labels = "proposal")
- issues <- as.data.frame(do.call(rbind, issues_raw))
+``` r
+cleanup_data <- function(prs_gql) {
+ prs_gql <- prs_gql[[1]][[1]][[1]][[2]]
+ for (i in 1:length(prs_gql)) {
+ prs_gql[[i]] <- prs_gql[[i]]$node
+ prs_gql[[i]]$temp_labels <- NA
+ if (length(prs_gql[[i]]$labels$edges) >= 1) {
+ prs_gql[[i]]$temp_labels <- list()
+ for (y in 1:length(prs_gql[[i]]$labels$edges)) {
+ prs_gql[[i]]$temp_labels[[y]] <- prs_gql[[i]]$labels$edges[[y]]$node
+ }
- data <- list()
- data[[1]] <- issues
-
- # Paginate API
- while (TRUE) {
- issues_raw <- try({
- gh_next(issues_raw)
- }, silent = TRUE)
- if (inherits(issues_raw, "try-error")) {
- break
- } else {
- temp <- as.data.frame(do.call(rbind, issues_raw))
- data[[length(data) + 1]] <- temp
- }
+ prs_gql[[i]]$temp_labels <- map(prs_gql[[i]]$temp_labels, as.data.frame)
+ prs_gql[[i]]$temp_labels <- do.call(rbind, prs_gql[[i]]$temp_labels)
}
- issues_all <- do.call(rbind, data)
-}
+ prs_gql[[i]]$labels <- NA
+ prs_gql[[i]]$labels <- prs_gql[[i]]$temp_labels
+ prs_gql[[i]]$temp_labels <- NULL
+ }
+ prs_gql <- as.data.frame(do.call(rbind, prs_gql))
+ if (!("mergedAt" %in% colnames(prs_gql))) {
+ prs_gql$mergedAt <- NA
+ prs_gql$isPR <- FALSE
+ } else {
+ prs_gql$isPR <- TRUE
+ }
-# Filter out corrupt issues without labels
-filtered_issues <- issues_all |>
- filter(sapply(labels, length, simplify = TRUE) > 0) |>
+ for (i in rownames(prs_gql)) {
+ author <- prs_gql[i, "author"]
+ if (!is.null(author)) {
+ prs_gql[i, "author"] <- do.call(rbind.data.frame, author)
+ }
+ }
+
+ return(prs_gql)
+}
+```
+
+``` r
+if (!exists("issues_gql_all")) {
+ issue_query <- 'query($after: String) {
+ repository(owner: "matrix-org", name: "matrix-spec-proposals") {
+ issues(
+ states: [OPEN, CLOSED]
+ orderBy: {field: CREATED_AT, direction: ASC}
+ first: 100
+ after: $after
+ ) {
+ pageInfo {
+ startCursor
+ endCursor
+ hasNextPage
+ hasPreviousPage
+ }
+ edges {
+ node {
+ title
+ url
+ author {
+ login
+ }
+ closedAt
+ createdAt
+ labels(first: 100) {
+ pageInfo {
+ startCursor
+ endCursor
+ hasNextPage
+ hasPreviousPage
+ }
+ edges {
+ node {
+ name
+ createdAt
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}'
+
+ pr_query <- 'query($after: String) {
+ repository(owner: "matrix-org", name: "matrix-spec-proposals") {
+ pullRequests(
+ states: [OPEN, CLOSED, MERGED]
+ orderBy: {field: CREATED_AT, direction: ASC}
+ first: 100
+ after: $after
+ ) {
+ pageInfo {
+ startCursor
+ endCursor
+ hasNextPage
+ hasPreviousPage
+ }
+ edges {
+ node {
+ title
+ url
+ author {
+ login
+ }
+ closedAt
+ mergedAt
+ createdAt
+ labels(first: 100) {
+ pageInfo {
+ startCursor
+ endCursor
+ hasNextPage
+ hasPreviousPage
+ }
+ edges {
+ node {
+ name
+ createdAt
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+}'
+
+ issues_gql <- gh_gql(issue_query)
+ issues_gql_pageinfo <- issues_gql[[1]][[1]][[1]][[1]]
+ issues_gql <- cleanup_data(issues_gql)
+
+ gql_data <- list(issues_gql)
+
+ # Paginate API
+ while (issues_gql_pageinfo$hasNextPage) {
+ variables <- list()
+ variables$after <- issues_gql_pageinfo$endCursor
+ issues_gql <- gh_gql(issue_query, variables = variables)
+ issues_gql_pageinfo <- issues_gql[[1]][[1]][[1]][[1]]
+ issues_gql <- cleanup_data(issues_gql)
+ gql_data[[length(gql_data) + 1]] <- issues_gql
+ }
+
+ prs_gql <- gh_gql(pr_query)
+ prs_gql_pageinfo <- prs_gql[[1]][[1]][[1]][[1]]
+ prs_gql <- cleanup_data(prs_gql)
+ gql_data[[length(gql_data) + 1]] <- prs_gql
+
+ # Paginate API
+ while (prs_gql_pageinfo$hasNextPage) {
+ variables <- list()
+ variables$after <- prs_gql_pageinfo$endCursor
+ prs_gql <- gh_gql(pr_query, variables = variables)
+ prs_gql_pageinfo <- prs_gql[[1]][[1]][[1]][[1]]
+ prs_gql <- cleanup_data(prs_gql)
+ gql_data[[length(gql_data) + 1]] <- prs_gql
+ }
+
+ issues_gql_all <- do.call(rbind, gql_data)
+
+ # Cleanup
+ rm(issues_gql, prs_gql, gql_data, variables, issues_gql_pageinfo, prs_gql_pageinfo)
+
+
+ issues_gql_all <- issues_gql_all |>
rowwise()
-filtered_issues$labels <- map(filtered_issues$labels, ~do.call(rbind,
- .))
+}
```
# Get Employee association from Github and Gitlab
@@ -66,92 +208,98 @@ or checking the github workplace field. It may also exclude some users
that are not detectable.
``` r
-# TODO also check against gitlab TODO also check workplace
-# thingy
+# TODO also check against gitlab
+# TODO also check workplace thingy
# Compile a list of who is who
-if (!exists("element_employee") || !exists("famedly_employee") ||
- !exists("beeper_employee")) {
- element_employee <- list()
- sct_employee <- c("ara4n", "erikjohnston", "richvdh", "dbkr",
- "uhoreg", "anoadragon453", "turt2live", "KitsuneRal")
- famedly_employee <- list("deepbluev7", "Sorunome", "MTRNord")
- beeper_employee <- list("Fizzadar")
- users <- list()
- # Get orgs of users on github
- for (i in 1:nrow(filtered_issues)) {
- user <- filtered_issues[i, ]$user[[1]]$login
- if ((user %in% users) || (user %in% sct_employee)) {
- next
- }
- orgs_raw <- gh(sprintf("GET /users/%s/orgs", user))
- orgs <- as.data.frame(do.call(rbind, orgs_raw))
-
- if ("vector-im" %in% orgs$login) {
- element_employee[[length(element_employee) + 1]] <- user
- } else if ("beeper" %in% orgs$login) {
- beeper_employee[[length(beeper_employee) + 1]] <- user
- } else if ("Famedly" %in% orgs$login) {
- famedly_employee[[length(famedly_employee) + 1]] <- user
- }
- users[[length(users) + 1]] <- user
+if (!exists("element_employee") || !exists("famedly_employee") || !exists("beeper_employee")) {
+ element_employee <- list()
+ sct_employee <- c("ara4n", "erikjohnston", "richvdh", "dbkr", "uhoreg", "anoadragon453", "turt2live", "KitsuneRal", "matrixbot")
+ famedly_employee <- list("deepbluev7", "Sorunome", "MTRNord")
+ beeper_employee <- list("Fizzadar")
+ users <- list()
+ # Get orgs of users on github
+ for (i in rownames(issues_gql_all)) {
+ user <- issues_gql_all[i, "author"]
+ user <- paste(unlist(user), collapse = "")
+ if (is.na(user) || is.null(user) || user == "") {
+ next
}
+ if ((user %in% users) || (user %in% sct_employee)) {
+ next
+ }
+ orgs_raw <- gh(sprintf("GET /users/%s/orgs", user))
+ orgs <- as.data.frame(do.call(rbind, orgs_raw))
+
+ if ("vector-im" %in% orgs$login) {
+ element_employee[[length(element_employee) + 1]] <- user
+ } else if ("beeper" %in% orgs$login) {
+ beeper_employee[[length(beeper_employee) + 1]] <- user
+ } else if ("Famedly" %in% orgs$login) {
+ famedly_employee[[length(famedly_employee) + 1]] <- user
+ }
+ users[[length(users) + 1]] <- user
+ }
+ rm(orgs, orgs_raw, user, author, i, users)
}
```
+# Get times for state transitions
+
+``` r
+opened_to_proposal <- issues_gql_all
+```
+
# MSCs by Company (all kind)
Note that this does not adjust for private vs company MSCs.
``` r
# Filter MSCs by company
-merged_element <- filtered_issues |>
- filter(user$login %in% element_employee) |>
- nrow()
+mscs_element <- issues_gql_all |>
+ filter(!is.null(author) && is.element(author, element_employee)) |>
+ nrow()
-merged_sct <- filtered_issues |>
- filter(user$login %in% sct_employee) |>
- nrow()
+mscs_sct <- issues_gql_all |>
+ filter(!is.null(author) && is.element(author, sct_employee)) |>
+ nrow()
-merged_famedly <- filtered_issues |>
- filter(user$login %in% famedly_employee) |>
- nrow()
+mscs_famedly <- issues_gql_all |>
+ filter(!is.null(author) && is.element(author, famedly_employee)) |>
+ nrow()
-merged_beeper <- filtered_issues |>
- filter(user$login %in% beeper_employee) |>
- nrow()
+mscs_beeper <- issues_gql_all |>
+ filter(!is.null(author) && is.element(author, beeper_employee)) |>
+ nrow()
-merged_other <- filtered_issues |>
- filter(!(user$login %in% element_employee)) |>
- filter(!(user$login %in% famedly_employee)) |>
- filter(!(user$login %in% beeper_employee)) |>
- filter(!(user$login %in% sct_employee)) |>
- nrow()
+mscs_other <- nrow(issues_gql_all) - mscs_element - mscs_beeper - mscs_famedly - mscs_sct
+column_names <- c("Count")
# Display Data
-data <- data.frame(group = c("Element", "Beeper", "Famedly",
- "SCT", "Other"), value = c(merged_element, merged_beeper,
- merged_famedly, merged_sct, merged_other))
-
-# Compute the position of labels
-data <- data |>
- filter(value != 0) |>
- arrange(desc(group)) |>
- mutate(prop = value/sum(data$value) * 100) |>
- mutate(ypos = cumsum(prop) - 0.5 * prop)
+data <- data.frame(column_names = column_names, Element = mscs_element, Beeper = mscs_beeper, Famedly = mscs_famedly, SCT = mscs_sct, Other = mscs_other)
+data2 <- data.frame(t(data[-1]))
+colnames(data2) <- data[, 1]
+data <- data2
+data <- cbind(Company = rownames(data), data)
+rownames(data) <- 1:nrow(data)
+rownames(data) <- NULL
+rm(data2)
# Basic piechart
-ggplot(data, aes(x = "", y = prop, fill = group)) + geom_bar(stat = "identity",
- width = 1, color = "white") + coord_polar("y", start = 0) +
- theme_void() + labs(title = str_wrap("Percentage of MSCs by Contributors associated with companies",
- 40), subtitle = str_wrap("Note that people may have gotten mixed or people with multiple hats may have MSCs landing in the wrong category",
- 60), caption = "source: Github API") + theme(legend.position = "none") +
- geom_text(aes(y = ypos, label = group), color = "white",
- size = 5) + scale_fill_brewer(palette = "Set1")
+ggplot(data, aes(x = Company, y = Count, fill = Company)) +
+ geom_bar(stat = "identity") +
+ labs(
+ title = str_wrap("Number of MSCs by Contributors associated with companies", 40),
+ subtitle = str_wrap(
+ "Note that people may have gotten mixed or people with multiple hats may have MSCs landing in the wrong category",
+ 60
+ ),
+ caption = "source: Github API"
+ )
```
-![](index_files/figure-gfm/unnamed-chunk-3-1.jpeg)
+![](index_files/figure-gfm/unnamed-chunk-6-1.jpeg)
# Merged MSCs by Company
@@ -159,56 +307,52 @@ Note that this does not adjust for private vs company MSCs.
``` r
# Filter for only merged MSCs
-merged_mscs <- filtered_issues |>
- filter("proposal" %in% labels) |>
- filter(("disposition-merge" %in% labels) | ("merged" %in%
- labels))
+merged_mscs <- issues_gql_all |>
+ filter(!is.na(labels) && is.element("proposal", labels$name) && (is.element("disposition-merge", labels$name) || is.element("merged", labels$name)))
# Filter MSCs by company
merged_element <- merged_mscs |>
- filter(user$login %in% element_employee) |>
- nrow()
+ filter(!is.null(author) && is.element(author, element_employee)) |>
+ nrow()
merged_sct <- merged_mscs |>
- filter(user$login %in% sct_employee) |>
- nrow()
+ filter(!is.null(author) && is.element(author, sct_employee)) |>
+ nrow()
merged_famedly <- merged_mscs |>
- filter(user$login %in% famedly_employee) |>
- nrow()
+ filter(!is.null(author) && is.element(author, famedly_employee)) |>
+ nrow()
merged_beeper <- merged_mscs |>
- filter(user$login %in% beeper_employee) |>
- nrow()
+ filter(!is.null(author) && is.element(author, beeper_employee)) |>
+ nrow()
-merged_other <- merged_mscs |>
- filter(!(user$login %in% element_employee)) |>
- filter(!(user$login %in% famedly_employee)) |>
- filter(!(user$login %in% beeper_employee)) |>
- filter(!(user$login %in% sct_employee)) |>
- nrow()
+merged_other <- nrow(merged_mscs) - merged_element - merged_beeper - merged_famedly - merged_sct
# Display Data
-data <- data.frame(group = c("Element", "Beeper", "Famedly",
- "SCT", "Other"), value = c(merged_element, merged_beeper,
- merged_famedly, merged_sct, merged_other))
-
-# Compute the position of labels
-data <- data |>
- filter(value != 0) |>
- arrange(desc(group)) |>
- mutate(prop = value/sum(data$value) * 100) |>
- mutate(ypos = cumsum(prop) - 0.5 * prop)
+column_names <- c("Count")
+# Display Data
+data <- data.frame(column_names = column_names, Element = merged_element, Beeper = merged_beeper, Famedly = merged_famedly, SCT = merged_sct, Other = merged_other)
+data2 <- data.frame(t(data[-1]))
+colnames(data2) <- data[, 1]
+data <- data2
+data <- cbind(Company = rownames(data), data)
+rownames(data) <- 1:nrow(data)
+rownames(data) <- NULL
+rm(data2)
# Basic piechart
-ggplot(data, aes(x = "", y = prop, fill = group)) + geom_bar(stat = "identity",
- width = 1, color = "white") + coord_polar("y", start = 0) +
- theme_void() + labs(title = str_wrap("Percentage of merged MSCs by Contributors associated with companies",
- 40), subtitle = str_wrap("Note that people may have gotten mixed or people with multiple hats may have MSCs landing in the wrong category",
- 60), caption = "source: Github API") + theme(legend.position = "none") +
- geom_text(aes(y = ypos, label = group), color = "white",
- size = 5) + scale_fill_brewer(palette = "Set1")
+ggplot(data, aes(x = Company, y = Count, fill = Company)) +
+ geom_bar(stat = "identity") +
+ labs(
+ title = str_wrap("Number of merged MSCs by Contributors associated with companies", 40),
+ subtitle = str_wrap(
+ "Note that people may have gotten mixed or people with multiple hats may have MSCs landing in the wrong category",
+ 60
+ ),
+ caption = "source: Github API"
+ )
```
-![](index_files/figure-gfm/unnamed-chunk-4-1.jpeg)
+![](index_files/figure-gfm/unnamed-chunk-7-1.jpeg)
diff --git a/index.pdf b/index.pdf
new file mode 100644
index 0000000..12fff0e
Binary files /dev/null and b/index.pdf differ
diff --git a/index_files/figure-gfm/unnamed-chunk-3-1.jpeg b/index_files/figure-gfm/unnamed-chunk-3-1.jpeg
deleted file mode 100644
index bc84116..0000000
Binary files a/index_files/figure-gfm/unnamed-chunk-3-1.jpeg and /dev/null differ
diff --git a/index_files/figure-gfm/unnamed-chunk-4-1.jpeg b/index_files/figure-gfm/unnamed-chunk-4-1.jpeg
deleted file mode 100644
index d57001a..0000000
Binary files a/index_files/figure-gfm/unnamed-chunk-4-1.jpeg and /dev/null differ
diff --git a/index_files/figure-gfm/unnamed-chunk-6-1.jpeg b/index_files/figure-gfm/unnamed-chunk-6-1.jpeg
new file mode 100644
index 0000000..29ba73f
Binary files /dev/null and b/index_files/figure-gfm/unnamed-chunk-6-1.jpeg differ
diff --git a/index_files/figure-gfm/unnamed-chunk-7-1.jpeg b/index_files/figure-gfm/unnamed-chunk-7-1.jpeg
new file mode 100644
index 0000000..d55c8ef
Binary files /dev/null and b/index_files/figure-gfm/unnamed-chunk-7-1.jpeg differ