5.2. More on DIY configurations¶
As the last section already suggest, within a Git repository,
.git/config
is not the only configuration file.
There are also .gitmodules
and .gitattributes
, and in DataLad datasets
there also is a .datalad/config
file.
All of these files store configurations, but have an important difference:
They are version controlled, and upon sharing a dataset these configurations
will be shared as well. An example for a shared configuration
is the one that the text2git
configuration template applied:
In the shared copy of your dataset from Networking, text files are also saved with Git,
and not git-annex. The configuration responsible
for this behavior is in a .gitattributes
file, and we’ll start this
section by looking into it.
5.2.1. .gitattributes
¶
This file lies right in the root of your superdataset:
$ cat .gitattributes
* annex.backend=MD5E
**/.git* annex.largefiles=nothing
* annex.largefiles=((mimeencoding=binary)and(largerthan=0))
This looks neither spectacular nor pretty. Also, it does not follow the section-option-value
organization of the .git/config
file anymore. Instead, there are three lines,
and all of these seem to have something to do with the configuration of git-annex.
There even is one key word that you recognize: MD5E.
If you have read the Find-out-more on object trees
you will recognize it as a reference to the type of
key used by git-annex to identify and store file content in the object-tree.
The first row, * annex.backend=MD5E
, therefore translates to “The MD5E
git-annex backend should be used for any file”.
But what is the rest? We’ll start with the last row:
* annex.largefiles=((mimeencoding=binary)and(largerthan=0))
Uhhh, cryptic. The lecturer explains: “git-annex will annex, that is, store in the object-tree, anything it considers to be a “large file”. By default, anything in your dataset would be a “large file”, that means anything would be annexed. However, in section Data integrity I already mentioned that exceptions to this behavior can be defined based on
file size
and/or path/pattern, and thus for example file extensions, or names, or file types (e.g., text files, as with the
text2git
configuration template).
“In .gitattributes
, you can define what a large file and what is not
by simply telling git-annex by writing such rules.”
What you can see in this .gitattributes
file is a rule based on file types:
With (mimeencoding=binary))
[1], the text2git
configuration template
configured git-annex to regard all files of type “binary” as a large file.
Thanks to this little line, your text files are not annexed, but stored
directly in Git.
The patterns *
and **
are so-called “wildcards” you might recognize from used in globbing.
In Git configuration files, an asterisk “*” matches anything except a slash.
The third row therefore
translates to “Do not annex anything that is a text file” for git-annex.
Two leading “**
” followed by a slash matches
recursively in all directories.
Therefore, the second row instructs git-annex to regard nothing starting with .git
as a “large file”, including contents inside of .git
directories.
This way, the .git
repositories are protected from being annexed.
If you had a single file (myfile.pdf
) you would not want annexed, specifying a rule such as:
myfile.pdf annex.largefiles=nothing
will keep it stored in Git. To see an example of this, navigate into the longnow subdataset,
and view this dataset’s .gitattributes
file:
$ cat recordings/longnow/.gitattributes
* annex.backend=MD5E
**/.git* annex.largefiles=nothing
README.md annex.largefiles=nothing
The relevant part is README.md annex.largefiles=nothing
.
This instructs git-annex to specifically not annex README.md
.
Lastly, if you wanted to configure a rule based on size, you could add a row such as:
** annex.largefiles(largerthan=20kb)
to store only files exceeding 20KB in size in git-annex[2].
As you may have noticed, unlike .git/config
files,
there can be multiple .gitattributes
files within a dataset. So far, you have seen one
in the root of the superdataset, and in the root of the longnow
subdataset.
In principle, you can add one to every directory-level of your dataset.
For example, there is another .gitattributes
file within the
.datalad
directory:
$ cat .datalad/.gitattributes
config annex.largefiles=nothing
As with Git configuration files, more specific or lower-level configurations take precedence
over more general or higher-level configurations. Specifications in a subdirectory can
therefore overrule specifications made in the .gitattributes
file of the parent
directory.
In summary, the .gitattributes
files will give you the possibility to configure
what should be annexed and what should not be annexed up to individual file level.
This can be very handy, and allows you to tune your dataset to your custom needs.
For example, files you will often edit by hand could be stored in Git if they are
not too large to ease modifying them[3].
Once you know the basics of this type of configuration syntax, writing
your own rules is easy. For more tips on how configure git-annex’s content
management in .gitattributes
, take a look at the git-annex documentation.
Later however you will see preconfigured DataLad procedures such as text2git
that
can apply useful configurations for you, just as text2git
added the last line
in the root .gitattributes
file.
5.2.2. .gitmodules
¶
On last configuration file that Git creates is the .gitmodules
file.
There is one right in the root of your dataset:
$ cat .gitmodules
[submodule "recordings/longnow"]
path = recordings/longnow
url = https://github.com/datalad-datasets/longnow-podcasts.git
datalad-id = b3ca2718-8901-11e8-99aa-a0369f7c647e
datalad-url = https://github.com/datalad-datasets/longnow-podcasts.git
Based on these contents, you might have already guessed what this file
stores. The .gitmodules
file is a configuration file that stores the mapping between
your own dataset and any subdatasets you have installed in it.
There will be an entry for each submodule (subdataset) in your dataset.
The name submodule is Git terminology, and describes a Git repository inside of
another Git repository, i.e., the super- and subdataset principles.
Upon sharing your dataset, the information about subdatasets and where to retrieve
them from is stored and shared with this file.
In addition to modifying it with the git config
command or by hand, the datalad subdatasets
command also has a --set-property NAME VALUE
option that you can use to set subdataset properties.
Section Looking without touching already mentioned one additional configuration option in a footnote: The datalad-recursiveinstall
key.
This key is defined on a per subdataset basis, and if set to “skip
”, the given subdataset will not be recursively installed unless it is explicitly specified as a path to datalad get [-n/--no-data] -r
(manual).
If you are a maintainer of a superdataset with monstrous amounts of subdatasets, you can set this option and share it together with the dataset to prevent an accidental, large recursive installation in particularly deeply nested subdatasets.
Below is a minimally functional example on how to apply the configuration and how it works:
Let’s create a dataset hierarchy to work with (note that we concatenate multiple commands into a single line using bash’s “and” &&
operator):
$ # create a superdataset with two subdatasets
$ datalad create superds && datalad -C superds create -d . subds1 && datalad -C superds create -d . subds2
create(ok): /tmp/superds (dataset)
add(ok): subds1 (file)
add(ok): .gitmodules (file)
save(ok): . (dataset)
create(ok): subds1 (dataset)
add(ok): subds2 (file)
add(ok): .gitmodules (file)
save(ok): . (dataset)
create(ok): subds2 (dataset)
Next, we create subdatasets in the subdatasets:
$ # create two subdatasets in subds1
$ datalad -C superds/subds1 create -d . subsubds1 && datalad -C superds/subds1 create -d . subsubds2
add(ok): subsubds1 (file)
add(ok): .gitmodules (file)
save(ok): . (dataset)
create(ok): subsubds1 (dataset)
add(ok): subsubds2 (file)
add(ok): .gitmodules (file)
save(ok): . (dataset)
create(ok): subsubds2 (dataset)
$ # create two subdatasets in subds2
$ datalad -C superds/subds2 create -d . subsubds1 && datalad -C superds/subds2 create -d . subsubds2
add(ok): subsubds1 (file)
add(ok): .gitmodules (file)
save(ok): . (dataset)
create(ok): subsubds1 (dataset)
add(ok): subsubds2 (file)
add(ok): .gitmodules (file)
save(ok): . (dataset)
create(ok): subsubds2 (dataset)
Here is the directory structure:
$ cd ../ && tree
.
├── subds1
│ ├── subsubds1
│ └── subsubds2
└── subds2
├── subsubds1
└── subsubds2
$ # save in the superdataset
datalad save -m "add a few sub and subsub datasets"
add(ok): subds1 (file)
add(ok): subds2 (file)
save(ok): . (dataset)
Now, we can apply the datalad-recursiveinstall
configuration to skip recursive installations for subds1
$ git config -f .gitmodules --add submodule.subds1.datalad-recursiveinstall skip
$ # save this configuration
$ datalad save -m "prevent recursion into subds1, unless explicitly given as path"
add(ok): .gitmodules (file)
save(ok): . (dataset)
If the dataset is cloned, and someone runs a recursive datalad get
, the subdatasets of subds1
will not be installed, the subdatasets of subds2
, however, will be.
$ # clone the dataset somewhere else
$ cd ../ && datalad clone superds clone_of_superds
[INFO ] Cloning superds into '/tmp/clone_of_superds'
install(ok): /tmp/clone_of_superds (dataset)
$ # recursively get all contents (without data)
$ cd clone_of_superds && datalad get -n -r .
get(ok): /tmp/clone_of_superds/subds2 (dataset)
get(ok): /tmp/clone_of_superds/subds2/subsubds1 (dataset)
get(ok): /tmp/clone_of_superds/subds2/subsubds2 (dataset)
$ # only subsubds of subds2 are installed, not of subds1:
$ tree
.
├── subds1
└── subds2
├── subsubds1
└── subsubds2
4 directories, 0 files
Nevertheless, if subds1
is provided with an explicit path, its subdataset subsubds
will be cloned, essentially overriding the configuration:
$ datalad get -n -r subds1 && tree
install(ok): /tmp/clone_of_superds/subds1 (dataset) [Installed subdataset in order to get /tmp/clone_of_superds/subds1]
.
├── subds1
│ ├── subsubds1
│ └── subsubds2
└── subds2
├── subsubds1
└── subsubds2
6 directories, 0 files
5.2.3. .datalad/config
¶
DataLad adds a repository-specific configuration file as well.
It can be found in the .datalad
directory, and just like .gitattributes
and .gitmodules
it is version controlled and is thus shared together with
the dataset. One can configure
many options,
but currently, our .datalad/config
file only stores a dataset ID.
This ID serves to identify a dataset as a unit, across its entire history and flavors.
In a geeky way, this is your dataset’s social security number: It will only exist
one time on this planet.
$ cat .datalad/config
[datalad "dataset"]
id = e3e70682-c209-4cac-629f-6fbed82c07cd
Note, though, that local configurations within a Git configuration file
will take precedence over configurations that can be distributed with a dataset.
Otherwise, dataset updates with datalad update
(manual) (or, for Git-users,
git pull
(manual)) could suddenly and unintentionally alter local DataLad
behavior that was specifically configured.
Also, Git and git-annex will not query this file for configurations, so please store only sticky options that are specific to DataLad (i.e., under the datalad.*
namespace) in it.
5.2.4. Writing to configuration files other than .git/config
¶
“Didn’t you say that knowing the git config
(manual) command is already
half of what I need to know?” you ask. “Now there are three other configuration
files, and I do not know with which command I can write into these files.”
“Excellent question”, you hear in return, “but in reality, you do know:
it’s also the git config
command. The only part of it you need to
adjust is the -f
, --file
parameter. By default, the command writes to
a Git config file. But it can write to a different file if you specify it
appropriately. For example,
git config --file=.gitmodules --replace-all submodule."name".url "new URL"
will update your submodule’s URL. Keep in mind though that you would need
to commit this change, as .gitmodules
is version controlled”.
Let’s try this:
$ git config --file=.gitmodules --replace-all submodule."recordings/longnow".url "git@github.com:datalad-datasets/longnow-podcasts.git"
This command will replace the submodule’s https URL with an SSH URL.
The latter is often used if someone has an SSH key pair and added the
public key to their GitHub account (you can read more about this
here).
We will revert this change shortly, but use it to show the difference between
a git config
on a .git/config
file and on a version controlled file:
$ datalad status
modified: .gitmodules (file)
$ git diff
diff --git a/.gitmodules b/.gitmodules
index 9bc9ee9..11273e1 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -1,5 +1,5 @@
[submodule "recordings/longnow"]
path = recordings/longnow
- url = https://github.com/datalad-datasets/longnow-podcasts.git
+ url = git@github.com:datalad-datasets/longnow-podcasts.git
datalad-id = b3ca2718-8901-11e8-99aa-a0369f7c647e
datalad-url = https://github.com/datalad-datasets/longnow-podcasts.git
As these two commands show, the .gitmodules
file is modified. The https URL
has been deleted (note the -
), and a SSH URL has been added. To keep these
changes, we would need to datalad save
(manual) them. However, as we want to stay with
https URLs, we will just checkout this change – using a Git tool to undo an
unstaged modification.
$ git checkout .gitmodules
$ datalad status
Updated 1 path from the index
nothing to save, working tree clean
Note, though, that the .gitattributes
file cannot be modified with a git config
command. This is due to its different format that does not comply to the
section.variable.value
structure of all other configuration files. This file, therefore,
has to be edited by hand, with an editor of your choice.
5.2.5. Environment variables¶
An environment variable is a variable set up in your shell
that affects the way the shell or certain software works – for example,
the environment variables HOME
, PWD
, or PATH
.
Configuration options that determine the behavior of Git, git-annex, and
DataLad that could be defined in a configuration file can also be set (or overridden)
by the associated environment variables of these configuration options.
Many configuration items have associated environment variables.
If this environment variable is set, it takes precedence over options set in
configuration files, thus providing both an alternative way to define configurations
as well as an override mechanism. For example, the user.name
configuration of Git can be overridden by its associated environment variable,
GIT_AUTHOR_NAME
. Likewise, one can define the environment variable instead
of setting the user.name
configuration in a configuration file.
Git, git-annex, and DataLad have more environment variables than anyone would want to
remember. The ProGit book
has a good overview on Git’s most useful available environment variables for a start.
All of DataLad’s configuration options can be translated to their
associated environment variables. Any environment variable with a name that starts with DATALAD_
will be available as the corresponding datalad.
configuration variable,
replacing any __
(two underscores) with a hyphen, then any _
(single underscore)
with a dot, and finally converting all letters to lower case. The datalad.log.level
configuration option thus is the environment variable DATALAD_LOG_LEVEL
.
Some more general information on environment variables
Names of environment variables are often all-uppercase. While the $
is not part of
the name of the environment variable, it is necessary to refer to the environment
variable: To reference the value of the environment variable HOME
, for example, you would
need to use echo $HOME
and not echo HOME
. However, environment variables are
set without a leading $
. There are several ways to set an environment variable
(note that there are no spaces before and after the =
!), leading to different
levels of availability of the variable:
THEANSWER=42 <command>
makes the variableTHEANSWER
available for the process in<command>
. For example,DATALAD_LOG_LEVEL=debug datalad get <file>
will execute thedatalad get
command (and only this one) with the log level set to “debug”.export THEANSWER=42
makes the variableTHEANSWER
available for other processes in the same session, but it will not be available to other shells.echo 'export THEANSWER=42' >> ~/.bashrc
will write the variable definition in the.bashrc
file and thus available to all future shells of the user (i.e., this will make the variable permanent for the user)
To list all of the configured environment variables, type env
into your terminal.
5.2.6. Summary¶
This has been an intense lecture, you have to admit. One definite
take-away from it has been that you now know a second reason why the hidden
.git
and .datalad
directory contents and also the contents of .gitmodules
and
.gitattributes
should not be carelessly tampered with – they contain all of
the repository’s configurations.
But you now also know how to modify these configurations with enough
care and background knowledge such that nothing should go wrong once you
want to work with and change them. You can use the git config
command
for Git configuration files on different scopes, and even the .gitmodules
or datalad/config
files. Of course you do not yet know all of the available configuration options. However,
you already know some core Git configurations such as name, email, and editor. Even more
important, you know how to configure git-annex’s content management based on largefile
rules, and you understand the variables within .gitmodules
or the sections
in .git/config
. Slowly, you realize with pride,
you are more and more becoming a DataLad power-user.
Write a note about configurations in datasets into notes.txt
.
$ cat << EOT >> notes.txt
Configurations for datasets exist on different levels (systemwide,
global, and local), and in different types of files (not version
controlled (git)config files, or version controlled .datalad/config,
.gitattributes, or gitmodules files), or environment variables.
With the exception of .gitattributes, all configuration files share a
common structure, and can be modified with the git config command, but
also with an editor by hand.
Depending on whether a configuration file is version controlled or
not, the configurations will be shared together with the dataset.
More specific configurations and not-shared configurations will always
take precedence over more global or hared configurations, and
environment variables take precedence over configurations in files.
The git config --list --show-origin command is a useful tool to give
an overview over existing configurations. Particularly important may
be the .gitattributes file, in which one can set rules for git-annex
about which files should be version-controlled with Git instead of
being annexed.
EOT
$ datalad save -m "add note on configurations and git config"
add(ok): notes.txt (file)
save(ok): . (dataset)
Footnotes