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Git history visualizer

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This script solve this problem:

I want to visualize the history of all the files in a git repository [in one branch]

The idea is to extract the whole commits log via the git command (you should have it on your machine) and process it to have:

Requirements

Documentation

git_history is the common base class for all git history.

Inizialization

foo = git_history(PATH, get_history=False, definedatamatrix=False)

Optionally, set get_history and definedatamatrix to True to have all the process done in place, instead of calling each method.

At the inizialitation the attribute self.path that point to the git respository in PATH.

Also def_states (and def_states_explain) are defined at inizialitation. They are used to transform the state in the dataframe to number for visualization and define the legend. You can overwrite them at your own risk.

    # that is used as colorcode in the datamatrix
    def_states = {
        u'A': 120,
        u'C': 25,
        u'B': 51,
        u'D': 240,
        u'M': 180,
        u'R': 102,
        u'U': 204,
        u'T':  76,
        u'X': 153,
        u'S': 255,   # custom value, Static
        u'N': None,  # custom value, Non existent
    }

    # this is only a humand readable format
    def_states_explain = {
        u'A': u'added',
        u'C': u'copied',
        u'D': u'deleted',
        u'M': u'modified',
        u'R': u'renamed',
        u'T': u'type changed',
        u'U': u'unmerged',
        u'X': u'unknown',
        u'B': u'pairing broken',
        u'S': u'Static',
        u'N': u'Non existent'
    }

Methods

The method

    foo.get_history([prettyformat='%h'],[gitcommitlist=False])

extract the git log, and define:

arguments:

prettyformat, default %h

optional, accept one of the git prettyformat, see http://git-scm.com/docs/pretty-formats. For example, get the whole commit text with '%s' and write your own parser for sel.decodelog().

Deafault is '%h' of the short SHA-1 of the commit.

gitcommitlist, default False

optional, if present should be a string withthe result of:

    git -C PATH --no-pager log --reverse --name-status --oneline --pretty="format:COMMIT%x09%h"

For example, execute this command in remote and store the result in a file, read the content

with open('gitoutput', 'r') as file:
    data = file.read()

and pass the result to get_history method:

    gt.get_history(gitcommitlist=data)

Status

From the official git-log Documentation, http://git-scm.com/docs/git-log for files status:

Custom defined status:

See http://git-scm.com/docs/git-log :

...

--diff-filter=[(A|C|D|M|R|T|U|X|B)…[*]]

Select only files that are Added (A), Copied (C), Deleted (D), Modified (M), Renamed (R), have their type (i.e. regular file, symlink, submodule, …) changed (T), are Unmerged (U), are Unknown (X), or have had their pairing Broken (B). Any combination of the filter characters (including none) can be used. When * (All-or-none) is added to the combination, all paths are selected if there is any file that matches other criteria in the comparison; if there is no file that matches other criteria, nothing is selected. ...

Example

The simplest way to get your image is to open example_githistoryvis.py, change the repository pathm the output path , save and run python example_githistoryvis.py.

To have a better look of what is happening, the notebook and the python script included (git_history_test_git.ipynb and git_history_test_git.py) are extended examples.

Change the path at the beginning with your repository path and play with the visualizzation at the end.

This example is on this very repository. The first *txt files were only placeholders.

This is the complete visual history of this repository using

plot_history_df(gt.datamatrix,size= 300, figsize = [10,14])

This is a commit range, using using pandas' Indexing and Selecting Data capabilities:

plot_df_commit_range = gt.datamatrix.ix[:,'a4cb9a1':'1222c5e']
plot_history_df(plot_df_commit_range,size= 300, figsize= [3,13])

This is a range of files, using

plot_df_file_range = gt.datamatrix[~gt.datamatrix.index.str.contains('txt$')]
plot_history_df(plot_df_file_range,size= 300, figsize= [10,11.5])

This is combines the two filters, using

plot_df_commit_file_range = all_filenames.ix[:,'a4cb9a1':'1222c5e']
                            [~all_filenames.index.str.contains('txt$')]

This is filter on the all the state in the last commit, using

plot_df_state_filter = gt.datamatrix[gt.datamatrix[gt.datamatrix.columns[-1]] != 'N']
plot_history_df(plot_df_state_filter,size= 300,figsize= [10,10])