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View stats per release, we do this by doing log diffs between release tags. Ex: `git log boost-1.78.0..boost-1.79.0`. The output is parsed and the commits are saved with a foreign key to the `LibraryVersion` it relates to. - commits are imported by doing "bare" clones (no project files, only git data) of repos into temporary directories, as created by python's bulitin `tempfile.TemporaryDirectory` - Added Commit model - Added CommitAuthor model - Added CommitAuthorEmail model - One CommitAuthor can have many emails. - Added task for importing commits. (and admin link to trigger it) - Added task for importing CommitAuthor github data (avatar and profile url, with admin link to trigger it) - Added a basic Library stat page which can be viewed by going to the admin -> library -> view stats. - Added a `Get Release Report` button in the `LibraryAdmin` which allows a staff member to select a boost version and up to 8 libraries to generate a report for. The report is just a webpage which attempts to convert cleanly to a pdf using the browser's print to pdf functionality. - Updated the Library Detail page to show commits per release instead of per month. - Updated the Library Detail page to show `Maintainers & Contributors` sorted by maintainers, then the top contributors for the selected release, then the top contributors overall by commits descending. - Removed CommitData, which was tracking monthly commit stats
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Populating the Database for the First Time
This document contains information about importing Boost Versions (also called Releases), Libraries, and the data associated with those objects. It is concerned with importing data in deployed environments, but at the bottom of the page there is a section on importing data for local development.
Deployed Environments
There are several steps to populating the database with historical Boost data, because we retrieve Boost data from multiple sources.
You can run all of these steps in sequence in a single command with the command:
./manage.py boost_setup
The boost_setup command will run all of the processes listed here:
# Import Boost releases
./manage.py import_versions
# import_versions also runs import_artifactory_release_data
# Import Boost libraries
./manage.py update_libraries
# Save which Boost releases include which libraries
./manage.py import_library_versions
# import_library_versions retrieves documentation urls, so boost_setup
# doesn't run import_library_version_docs_urls
# Save other data we need for Libraries and LibraryVersions
./manage.py update_maintainers
./manage.py update_authors
./manage.py import_commits
# Get the most recent beta release, and delete old beta releases
./manage.py import_beta_release --delete-versions
Read more aboout these management commands.
Collectively, this is what these management commands accomplish:
import_versions: Imports Boost releases asVersionobjects, and imports links to Boost downloads hosted on Artifactory.update_libraries: Imports Boost libraries and categories asLibraryandCategoryobjects.import_library_versions: Establishes which Boost libraries are included in which Boost versions. That information is stored inLibraryVersionobjects. This process also stores the link to the version-specific Boost documentation for this library.update_maintainers: For eachLibraryVersion, saves the maintainers asUserobjects and makes sure they are associated with theLibraryVersion.update_authors: For eachLibrary, saves the authors asUserobjects and makes sure they are associated with theLibrary.import_commits: For eachLibrary, iterate through theLibraryVersions and createCommit,CommitAuthor, andCommitAuthorEmailobjects. Also attempts to updateCommitAuthors with their github profile URL and Avatar URL.import_beta_release: Retrieves the most recent beta release from GitHub and imports it. If--delete-versionsis passed, will delete the existing beta releases in the database.
Further Reading
- Syncing Data about Boost Versions and Libraries with GitHub
- Read more aboout the management commands you see here.