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CommunityMetrics/Code

Analizing OpenStack code

Tools

List of repositories tracked

  • keystone
  • nova
  • horizon
  • quantum
  • swift
  • glance
  • openstack-manuals
  • compute-api
  • identity-api
  • image-api
  • netconn-api
  • object-api
  • tempest
  • python-glanceclient
  • python-novaclient
  • python-quantumclient
  • python-keystoneclient

How to do it

Installing cvsanaly2 from https://projects.libresoft.es/projects/cvsanaly/wiki Clone all the repositories listed on https://github.com/openstack/: 


$ git clone git://.... [glance|swift|nova...]

Then create the databases for CVSanaly2 to store the logs in 


$ mysqladmin -u mlstats -p create openstackrepos

And run cvsanaly2 on each of the repositories: 


~/projects/swift$ cvsanaly2 --extensions Metrics,FileTypes,CommitsLOC -u mlstats -p xxxxxxx -d openstackrepos
Parsing log for swift/
Executing extensions
Executing extension FileTypes
Executing extension Metrics


Relevant queries

Exclude from results system authors Jenkins and Gerrit. Database schema and description of the tables.

History of changes per author

SELECT
     DATE_FORMAT(scmlog.`date`,'%X-%v') AS Date,
     sum(`commits_lines`.`added`) AS Added,
     sum(`commits_lines`.`removed`) AS Removed,
     `people`.`name` as Author,
     `people`.`email` as Email
FROM
     `commits_lines` INNER JOIN `scmlog` ON `commits_lines`.`commit_id` = `scmlog`.`id`
     INNER JOIN `repositories` ON `scmlog`.`repository_id` = `repositories`.`id`
     INNER JOIN `people` ON `scmlog`.`author_id` = `people`.`id`
WHERE
     repositories.`name` IN (${REPOSITORY})
     AND `people`.`name` NOT LIKE 'Tarmac'
     AND `people`.`name` NOT LIKE 'Jenkins'
     AND `people`.`name` NOT LIKE 'Gerrit'
     AND `scmlog`.`date` <= ${ENDDATE}
     AND `scmlog`.`date` >= ${STARTDATE}
     AND Added > '0'
     AND Removed > '0'
GROUP BY
     `people`.`name`
ORDER BY
     Date DESC,
     Added DESC,
     Removed DESC


Used for weekly report.

Changes in repositories (lines added/removed)

SELECT
     date_format(s.date,'%Y-%v') AS Date,
     sum(l.added) AS Added,
     sum(l.removed) AS Removed,
     p.`name` AS Author,
     p.`email` AS Email
FROM
     `scmlog` s INNER JOIN `people` p ON s.`author_id` = p.`id`
     INNER JOIN `commits_lines` l ON s.`id` = l.`commit_id`
     INNER JOIN `repositories` r ON s.`repository_id` = r.`id`
WHERE
     s.id IN ( SELECT DISTINCT (actions.commit_id) FROM `actions` WHERE branch_id = 1 )
     and r.name IN (${REPOSITORY})
     and s.date <= ${ENDDATE}
     and s.date >= ${STARTDATE}
     and s.author_id NOT IN (6,31,32,153,271)
GROUP BY
     Author
ORDER BY
     date DESC,
     added DESC,
     Removed DESC


Used in weekly reports.

Top 10 authors per number of commits

SELECT
     count(scmlog.`id`) AS commits,
     `people`.`name` AS author
FROM
     `scmlog` INNER JOIN `people` ON `scmlog`.`author_id` = `people`.`id`
     INNER JOIN `repositories` repositories ON `scmlog`.`repository_id` = repositories.`id`
WHERE
     repositories.`name` IN (${REPOSITORY})
 AND `people`.`name` NOT LIKE 'Tarmac'
 AND `people`.`name` NOT LIKE 'Jenkins'
 AND `people`.`name` NOT LIKE 'Gerrit'
     and `scmlog`.`date` <= ${ENDDATE}
     And `scmlog`.`date` >= ${STARTDATE}
GROUP BY
     committer_id
ORDER BY
     commits DESC
LIMIT 10


Used for monthly report.

Total number of commits per repository in past 30 days

  • View: who commited to any repo, how many times, in the 30 days


SELECT
     Count(scmlog.date) AS Count,
     `people`.`name` AS Name,
     `repositories`.`name` AS RepoName,
     `people`.`email` AS email
FROM
     `scmlog` INNER JOIN `people` ON `scmlog`.`author_id` = `people`.`id`
     INNER JOIN `repositories` ON `scmlog`.`repository_id` = `repositories`.`id`
WHERE
     date_sub(curdate(),interval 30 day) <= `scmlog`.`date`
 AND `people`.`name` NOT LIKE 'jenkins%'
 AND `people`.`name` NOT LIKE 'gerrit%'
GROUP BY
     people.name
ORDER BY
     Count DESC

See the demo report

Total number of commits for each repository, per month

SELECT
     count(scmlog.rev) AS `Total_Commits`,
     date_format(`scmlog`.`date`,'%Y/%M') AS Month,
     `repositories`.`name` AS Repository,
     `scmlog`.`date` AS Date
FROM
     `scmlog` INNER JOIN `repositories` ON `scmlog`.`repository_id` = `repositories`.`id`
GROUP BY
     month,
     name
ORDER BY
     date ASC

Total number of commits per month

SELECT
      count(scmlog.rev),
	date_format(`scmlog`.`date`, '%Y/%M') as Month,
     `scmlog`.`date` as Date
FROM
     `scmlog` INNER JOIN `repositories` ON `scmlog`.`repository_id` = `repositories`.`id`
group by
 month
order by
date ASC


Total number of commits per author in total

SELECT
      count(`scmlog`.`rev`) AS Commits,
     `people`.`email` AS Email,
     `people`.`name` AS Name
FROM
     `scmlog` INNER JOIN `people` ON `scmlog`.`author_id` = `people`.`id`
WHERE
     date_sub(curdate(),interval 30 day) <= `scmlog`.`date`
 AND `people`.`name` NOT LIKE 'jenkins%'
 AND `people`.`name` NOT LIKE 'gerrit%'
GROUP BY
     name
ORDER BY
     Commits DESC
LIMIT 10


Using GNU R to produce graphs

After starting R, connect to MySQL database: 


library(RMySQL)
con <- dbConnect(dbDriver("MySQL"), user="mlstats", password="xxxxx", dbname="openstackrepos")

Number of commits per month

query <- "SELECT date_format(s.date, '%m/%Y') date, count(s.id) commits
          FROM scmlog s group by date_format(s.date,'%Y%m');"
results <- dbGetQuery(con,query)
evol_commits <- ts(results$commits, start=c(2010,7), freq=12)
  png("nova_commits_month.png")
plot(evol_commits, type="l", xlab="Date", ylab="Commits",
     main="Number of commits per month - NOVA")
query_avg <- "SELECT AVG(g.numcommits)
    FROM
    ( SELECT date_format(s.date, '%Y') myyear,
        date_format(s.date, '%m') mymonth, count(s.id) numcommits
        FROM scmlog s
        GROUP BY date_format(s.date,'%Y%m') ) g;"
result_avg <- dbGetQuery(con,query_avg)
qqline(result_avg, col="blue", lty=2)
query_max_min <- "SELECT MAX(g.numcommits) as max, MIN(g.numcommits) as min
    FROM
    ( SELECT date_format(s.date, '%Y') myyear,
        date_format(s.date, '%m') mymonth,
        count(s.id) numcommits
        FROM scmlog s
        GROUP BY date_format(s.date,'%Y%m') ) g;"
result_max_min <- dbGetQuery(con,query_max_min)
qqline(result_max_min$max, col="red", lty=2)
qqline(result_max_min$min, col="green", lty=2)
legend("topright", inset=.05, c("average","maximun","minimun"),
       fill=c("blue","red","green"))
dev.off()

Number of Commits per author

query <- "SELECT p.name author, count(s.id) commits
    FROM scmlog s LEFT JOIN people p ON s.committer_id=p.id
    GROUP BY committer_id ORDER BY commits;"
results <- dbGetQuery(con,query)
plot(results$commits, xlab="Author", ylab="Commits",
     main="Number of commits by author")

Number of commits by author per year

query <- "
SELECT year, name, num
FROM
(SELECT date_format(s.date, '%Y') AS year, p.name AS name, count(s.id) AS num
FROM scmlog s LEFT JOIN people p ON s.committer_id=p.id
GROUP BY year, name
ORDER BY year, num) g
WHERE g.num > 10;
"
results <- dbGetQuery(con,query)
results$year <- factor(results$year)
query_names <- "
SELECT DISTINCT(name)
FROM
(SELECT date_format(s.date, '%Y') AS year, p.name AS name, count(s.id) AS num
FROM scmlog s LEFT JOIN people p ON s.committer_id=p.id
GROUP BY year, name
ORDER BY year, num) g
WHERE g.num > 10;
"
names <- dbGetQuery(con,query_names)
col <- 1
for (i in names$name) {
    results$color[results$name==i] <- col
    col <- col + 1
}
dotchart(results$num, groups=results$year, labels=results$name,
         color=results$color, cex=.7, xlab="Number of commits",
         main="Commits by author per year")

Aggregated number of commits up to now

query <- "SELECT g.myyear, g.mymonth, g.numcommits,
        (@sumacu:=@sumacu+g.numcommits) aggregated_numcommits
    FROM
        (SELECT @sumacu:=0) r, (SELECT date_format(s.date, '%Y') myyear,
            date_format(s.date, '%m') mymonth,
            COUNT(s.id) numcommits
        FROM scmlog s
        GROUP BY date_format(s.date,'%Y%m')) g;"
results <- dbGetQuery(con,query)
evol_num_commits <- ts(results$aggregated_numcommits, start=c(2010,10), freq=12)
plot(evol_num_commits, type="h", xlab="Date", ylab="Commits",
     main="Aggregated number of commits", col = "dark blue")

In order to save an image of the plot use 


  png("<filename>.png")
  plot <command>
  dev.off()

Using Pentaho Report to produce graphs

Lots of useful info on http://wiki.meego.com/Metrics/Creating_a_report

Remember to modify $PENTAHO_HOME/biserver-ce/pentaho-solutions/system/publisher_config.xml and put the password you'll use to publish reports from the Report Designer.

Lots of info to install, configure, secure, customize Pentaho Server on https://interestingittips.wordpress.com/pentaho

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