Subversion Get Text Status Data in Python Commit Hooks - python

I'm looking for a way to extend Python Commit Hooks such that I can ONLY find out all the files that were modified excluding all the revision properties changed.
Is there a SVN.Core or SVN.fs or another SVN import lib function that I could use?
I'm currently looking into
svn_fs_txn_prop
but haven't had much luck.
Thanks in Advance.

Using Subversion Core library in Python you can create a class to read through different Subversion Properties associated with a commit.
you can call something like:
changeCollector = svn.repos.ChangeCollector(self.fs_obj,self.fsroot,self.pool);
for path, change in changeCollector.changes.items():
# this is the property that i want
change.text_changed

Related

How can I see the source code for the Python library "keyboard"?

Let's say that I wanted to create my own library to be used in Python. How would I code a key press? How do I establish that without referencing the Python library of "keyboard"? I would love to be able to view the "keyboard" library that I import, in order to see how that library was created.
Thanks!
You can check out the inspect module.
Also possibly duplicate of this: How can I get the source code of a Python function?

How to use variables of git submodule foreach in gitpython

Using gitpython, I would like to use repo.git.submodule('foreach', …) and get the variables available such as name, sm_path, displaypath, sha1 and toplevel as defined in the git documentation.
I couldn't find any documentation on gitpython and my understanding of the API is limited.
Thanks to stsewd reply on Github issue, one should write
repo = git.Repo('foo/bar')
for sub in repo.submodules:
pass
and the documentation: https://gitpython.readthedocs.io/en/stable/reference.html#git.repo.base.Repo.submodules

How to get a list of Ostream or Oinfo in a variable from a repository path in gitpython?

I currently have a valid git database with no packfile, but due to a bug ingit-pack-objects(the process crashes with a stack dump file) I’m unable to perform thegit repackcommand.
I took a look at the error, and it’s linked to the C nature of the official git project (fixing would require changing corestructdefinitions) so, this will takes a lot of time to fix.
The only alternative I found which don’t use C is gitdb (part of gitpython). However I wasn’t able to find how to use thewrite_pack()function.
Or more exactly, I have no idea on how to build theobject_iterparameter from the database path from loose objects.
I don’t even know the exact class type used in theobject_iterlist.
So, how to use gitdb for that purpose ?
Solved!
#/usr/bin/python
import os,sys,zlib,gitdb
from gitdb.db import LooseObjectDB
from gitdb.pack import PackEntity
from gitdb.util import bin_to_hex,hex_to_bin
ldb=LooseObjectDB(sys.argv[1]+'/.git/objects')
PackEntity.create((ldb.stream(sha) for sha in ldb.sha_iter()),sys.argv[1]+'/.git/objects/pack',object_count=ldb.size(),zlib_compression=zlib.Z_BEST_COMPRESSION)

Redefine class/model of python module

I want to use django-achievements (link) module in my app, but it lack some fields in it's model. For example, I want to add CharField to it with path to picture of the badge/achievement. Also I will need to modify module's engine.py file for that.
What is the right way to do that? Download that module to my main app' folder and modify original files, or i can somehow redefine some methods/classes of original models.py and engine.py locally without modifing original files?
I'd say fork it and make your own modifications directly to the source. If it's an improvement you can create a Pull Request and contribute your code to the actual repository (not required, you can always just keep it for your own use).

XMP image tagging and Python

If I were to tag a bunch of images via XMP, in Python, what would be the best way? I've used Perl's Image::ExifTool and I am very much used to its reliability. I mean the thing never bricked on tens of thousands of images.
I found this, backed by some heavy-hitters like the European Space Agency, but it's clearly marked as unstable.
Now, assuming I am comfortable with C++, how easy is it to, say, use the Adobe XMP toolkit directly, in Python? Having never done this before, I am not sure what I'd sign up for.
Update: I tried some libraries out there and, including the fore mentioned toolkit, they are still pretty immature and have glaring problems. I resorted to actually writing an Perl-based server that accepts XML requests to read and write metadata, with the combat-tested Image::EXIF. The amount of code is actually very light, and definitely beats torturing yourself by trying to get the Python libraries to work. The server solution is language-agnostic, so it's a twofer.
Well, they website says that the python-xmp-toolkit uses Exempi, which is based on the Adobe XMP toolkit, via ctypes. What I'm trying to say is that you're not likely to create a better wrapping of the C++ code yourself. If it's unstable (i.e. buggy), it's most likely still cheaper for you to create patches than doing it yourself from scratch.
However, in your special situation, it depends on how much functionality you need. If you just need a single function, then wrapping the C++ code into a small C extension library or with Cython is feasible. When you need to have all functionality & flexibility, you have to create wrappers manually or using SWIG, basically repeating the work already done by other people.
I struggled for several hours with python-xmp-toolkit, and eventually gave up and just wrapped calls to ExifTool.
There is a Ruby library that wraps ExifTool as well (albeit, much better than what I created); I feel it'd be worth porting it to Python for a simple way of dealing with XMP.
For Python 3.x there's py3exiv2 which supports editing XMP metadata
With py3exiv2 you can read and write all standard metadata, create your own XMP namespace or extract the thumbnail embedded in image file.
One thing I like about py3exiv2 is that it's built on the (C++) exiv2 library which seems well-maintained
I did encounter a problem though when installing it on my system (Ubuntu 16.04). To get it working I first had to install the latest version of libexiv2-dev (sudo apt-get install libexiv2-dev), and only after this install py3exiv2 (sudo -H pip3 install py3exiv2)
Here's how I've used py3exiv2 to write a new tag:
import pyexiv2
metadata = pyexiv2.ImageMetadata("file_name.jpg")
metadata.read()
key = "Xmp.xmp.CustomTagKey"
value = "CustomTagValue"
metadata[key] = pyexiv2.XmpTag(key, value)
metadata.write()
(There's also a tutorial in the documentation)
For people finding this thread in the future, I would like to share my solution. I put a package up on the Python Package Index (PyPI) called imgtag. It lets you do basic XMP subject field tag editing using python-xmp-toolkit, but abstracts away all of the frustrating nonsense of actually using python-xmp-toolkit into one-line commands.
Install exempi for your platform, then run
python3 -m pip install imgtag
Now you can use it as such:
from imgtag import ImgTag
# Open image for tag editing
test = ImgTag(
filename="test.jpg", # The image file
force_case="lower", # Converts the case of all tags
# Can be `None`, `"lower"`, `"upper"`
# Default: None
strip=True, # Strips whitespace from the ends of all tags
# Default: True
no_duplicates=True # Removes all duplicate tags (case sensitive)
# Default: True
)
# Print existing tags
print("Current tags:")
for tag in test.get_tags():
print(" Tag:", tag)
# Add tags
test.add_tags(["sleepy", "happy"])
# Remove tags
test.remove_tags(["cute"])
# Set tags, removing all existing tags
test.set_tags(["dog", "good boy"])
# Save changes and close file
test.close()
# Re-open for tag editing
test.open()
# Remove all tags
test.clear_tags()
# Delete the ImgTag object, automatically saving and closing the file
del(test)
I haven't yet added methods for the other XMP fields like description, date, creator, etc. Maybe someday I will, but if you look at how the existing functions work in the source code, you can probably figure out how to add the method yourself. If you do add more methods, make a pull request please. :)
You can use ImageMagic convert, IIRC there's a Python module to it as well.

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