python-gphoto2 is a comprehensive Python interface (or binding) to libgphoto2. It is built using SWIG to automatically generate the interface code. This gives direct access to nearly all the libgphoto2 functions, but sometimes in a rather un-Pythonic manner.
Do not attempt to install python-gphoto2 until you have successfully installed all of its dependencies. The installation process compiles and links the bindings with the libgphoto2 installed on your computer.
Other Python bindings to libgphoto2 are available: piggyphoto uses ctypes (included in standard Python installations) to interface to the library. The gphoto2 source tree includes some Python bindings which also use ctypes. gphoto2-cffi uses cffi.
Contents
- Python: http://python.org/ version 2.6 or greater (including Python 3)
- libgphoto2: http://www.gphoto.org/proj/libgphoto2/ version 2.4 or greater
- build tools: pkg-config, C compiler & linker
Support for libgphoto2 v2.4 is incomplete and will be withdrawn in the next release of python-gphoto2, probably named 2.1.0.
Note that you need the "development headers" versions of libgphoto2 and Python.
In most cases you should use your operating system's package manager to install these.
The package names depend on the operating system.
Look for libgphoto2-dev
or libgphoto2-devel
or something similar.
If you install libgphoto2 from source (e.g. to get a newer version) then you probably should not install the dev
package as well.
There are several ways to install python-gphoto2, with varying levels of control over the installation process. By far the easiest is to use your operating system's package manager, if you're lucky enough to be using a system that has python-gphoto2 available. Note that this may not install the latest version.
Otherwise you can install it with pip, or by downloading an archive, or by getting the source from GitHub.
Make sure that you install the dependencies first.
The commands below will install python-gphoto2 for your default Python version.
To install for both Python 2 and Python 3, run the installation process twice with specific commands, i.e. pip2
and pip3
or python2
and python3
.
Install with pip
The easiest installation method is to use the pip command:
sudo pip install -v gphoto2
Note that this may take longer than you expect as the package's modules are compiled during installation.
The -v
option increases pip's verbosity so you can see that it's doing something.
Visit PyPI and download one of the zip or tar.gz files, then extract it and change to the new directory. For example:
tar xzf gphoto2-1.7.1.tar.gz cd gphoto2-1.7.1
Python's distutils are used to build and install python-gphoto2:
python setup.py build sudo python setup.py install
SWIG (http://swig.org/) should be installable via your operating system's package manager. Note that this may be an older version of SWIG than the one used to generate the files on PyPI.
To install the current development version, use git to "clone" the GitHub repository, then change to the new directory:
git clone https://github.com/jim-easterbrook/python-gphoto2.git cd python-gphoto2
As before, Python's distutils are used to build and install python-gphoto2, but now you have to run SWIG first to generate the files to be compiled:
python setup.py build_swig python setup.py build sudo python setup.py install
See "running SWIG" below for more detail.
Note
If you installed with pip the example files should be in /usr/share/python-gphoto2/examples
or /usr/local/share/python-gphoto2/examples
or somewhere similar.
Otherwise they are in the examples
sub-directory of your source directory.
Connect a digital camera to your computer, switch it on, and try one of the example programs:
python examples/camera-summary.py
If this works then you're ready to start using python-gphoto2.
If you update or move your installation of libgphoto2 the Python gphoto2 package may fail to import one of the libgphoto2 shared object files. If this happens you need to rebuild and reinstall the Python gphoto2 package:
sudo pip install -v -U --force-reinstall gphoto2
if you installed with pip, or
rm -rf build python setup.py build sudo python setup.py install
if you installed from source.
The Python interface to libgphoto2 should allow you to do anything you could do in a C program. However, there are still bits missing and functions that cannot be called from Python. Let me know if you run into any problems.
The following paragraphs show how the Python interfaces differ from C. See the example programs for typical usage of the Python gphoto2 API.
These functions are as similar as possible to their libgphoto2 equivalents. Most of them return an error code which you must check.
Using SWIG to generate the Python interfaces automatically means that every function in libgphoto2 should be available to Python.
You can show the documentation of a function with the pydoc
command (or python -m pydoc
if you installed gphoto2 with pip inside a virtual environment):
jim@firefly ~$ pydoc gphoto2.gp_camera_folder_list_files Help on built-in function gp_camera_folder_list_files in gphoto2: gphoto2.gp_camera_folder_list_files = gp_camera_folder_list_files(...) gp_camera_folder_list_files(Camera camera, char const * folder, Context context) -> int Lists the files in supplied `folder`. Parameters ---------- * `camera` : a Camera * `folder` : a folder * `list` : a CameraList * `context` : a GPContext Returns ------- a gphoto2 error code See also gphoto2.Camera.folder_list_files jim@firefly ~$
Most of this text is copied from the "doxygen" format documentation in the C source code.
(The online API documentation shows how it is intended to look.)
Note that the function signature does not include the list
parameter mentioned in the main text.
In C this is an "output" parameter, a concept that doesn't really exist in Python.
The Python version of gp_camera_folder_list_files
returns a sequence containing the integer error code and the list
value.
Most of the libgphoto2 functions that use pointer parameters to return values in the C API have been adapted like this in the Python API.
(Unfortunately I've not found a way to persuade SWIG to include this extra return value in the documentation.
You should use pydoc
to check the actual parameters expected by the Python function.)
For example, the C code:
#include "gphoto2.h"
int error;
Camera *camera;
error = gp_camera_new(&camera);
...
error = gp_camera_unref(camera);
has this Python equivalent:
import gphoto2 as gp
error, camera = gp.gp_camera_new()
...
Note that the gp_camera_unref() call is not needed. It is called automatically when the Python camera object is deleted.
Here is a complete example program (without any error checking):
import gphoto2 as gp
context = gp.gp_context_new()
error, camera = gp.gp_camera_new()
error = gp.gp_camera_init(camera, context)
error, text = gp.gp_camera_get_summary(camera, context)
print('Summary')
print('=======')
print(text.text)
error = gp.gp_camera_exit(camera, context)
This is the preferred way to use libgphoto2 from Python.
Most of the libgphoto2 functions have been added as methods of the appropriate GPhoto2 object.
This allows GPhoto2 to be used in a more "Pythonic" style.
For example, gp.gp_camera_init(camera, context)
can be replaced by camera.init(context)
.
These methods also include error checking.
If an error occurs they raise a Python GPhoto2Error
exception.
The example program can be re-written as follows:
import gphoto2 as gp
context = gp.Context()
camera = gp.Camera()
camera.init(context)
text = camera.get_summary(context)
print('Summary')
print('=======')
print(str(text))
camera.exit(context)
No additional error checking is required.
Most of the libgphoto2 functions return an integer to indicate success or failure.
The Python interface includes a check_result()
function to check these values and raise a GPhoto2Error
exception if an error occurs.
This function also removes the error code from lists such as that returned by gp_camera_new()
in the example.
Using this function the earlier example becomes:
import gphoto2 as gp
context = gp.gp_context_new()
camera = gp.check_result(gp.gp_camera_new())
gp.check_result(gp.gp_camera_init(camera, context))
text = gp.check_result(gp.gp_camera_get_summary(camera, context))
print('Summary')
print('=======')
print(text.text)
gp.check_result(gp.gp_camera_exit(camera, context))
There may be some circumstances where you don't want an exception to be raised when some errors occur.
You can "fine tune" the behaviour of the check_result()
function by adjusting the error_severity
variable:
import gphoto2 as gp
gp.error_severity[gp.GP_ERROR] = logging.WARNING
...
In this case a warning message will be logged (using Python's standard logging module) but no exception will be raised when a GP_ERROR
error occurs.
However, this is a "blanket" approach that treats all GP_ERROR
errors the same.
It is better to test for particular error conditions after particular operations, as described below.
The GPhoto2Error
exception object has two attributes that may be useful in an exception handler.
GPhoto2Error.code
stores the integer error generated by the library function and GPhoto2Error.string
stores the corresponding error message.
For example, to wait for a user to connect a camera you could do something like this:
import gphoto2 as gp
...
print('Please connect and switch on your camera')
while True:
try:
camera.init(context)
except gp.GPhoto2Error as ex:
if ex.code == gp.GP_ERROR_MODEL_NOT_FOUND:
# no camera, try again in 2 seconds
time.sleep(2)
continue
# some other error we can't handle here
raise
# operation completed successfully so exit loop
break
# continue with rest of program
...
When just calling a single function like this, it's probably easier to test the error value directly instead of using Python exceptions:
import gphoto2 as gp
...
print('Please connect and switch on your camera')
while True:
error = gp.gp_camera_init(camera, context)
if error >= gp.GP_OK:
# operation completed successfully so exit loop
break
if error != gp.GP_ERROR_MODEL_NOT_FOUND:
# some other error we can't handle here
raise gp.GPhoto2Error(error)
# no camera, try again in 2 seconds
time.sleep(2)
# continue with rest of program
...
The libgphoto2 library includes functions (such as gp_log()
) to output messages from its various functions.
These messages are mostly used for debugging purposes, and it can be helpful to see them when using libgphoto2 from Python.
The Python interface includes a use_python_logging()
function to connect libgphoto2 logging to the standard Python logging system.
If you want to see the messages you should call use_python_logging()
near the start of your program, as shown in the examples.
In normal use you probably don't want to see these messages (libgphoto2 is rather verbose) so this could be controlled by a "verbose" or "debug" option in your application.
The libgphoto2 logging messages have four possible severity levels, each of which is mapped to a suitable Python logging severity.
You can override this mapping by passing your own to use_python_logging()
:
import logging
import gphoto2 as gp
...
callback_obj = gp.check_result(gp.use_python_logging(mapping={
gp.GP_LOG_ERROR : logging.INFO,
gp.GP_LOG_DEBUG : logging.DEBUG,
gp.GP_LOG_VERBOSE : logging.DEBUG - 3,
gp.GP_LOG_DATA : logging.DEBUG - 6}))
...
If you prefer to use your own logging system you can define a logging callback function in Python.
The function must take 3 or 4 parameters: level
, domain
, string
and an optional data
.
The data
parameter allows you to pass some user data to your callback function (e.g. to log which thread an error occurred in):
The callback function is installed with gp_log_add_func
:
import gphoto2 as gp
...
def callback(level, domain, string, data=None):
print('Callback: level =', level, ', domain =', domain, ', string =', string, 'data =', data)
...
callback_obj1 = gp.check_result(gp.gp_log_add_func(gp.GP_LOG_VERBOSE, callback))
callback_obj2 = gp.check_result(gp.gp_log_add_func(gp.GP_LOG_VERBOSE, callback, 123))
...
If you find a problem in the Python gphoto2 interface (e.g. a segfault, a missing function, or a function without a usable return value) then please report it on the GitHub "issues" page (https://github.com/jim-easterbrook/python-gphoto2/issues) or email [email protected].
If your problem is more general, e.g. difficulty with capturing multiple images, then try doing what you want to do with the gphoto2 command line program. If the problem persists then it might be worth asking on the gphoto-user mailing list. Another reader of the mailing list may have the same camera model and already know what to do.
Since python-gphoto2 version 2.0.0 these functions return a sequence containing an error code and an object storing details of the callback. The callback is automatically uninstalled when this object is deleted.
In earlier versions of python-gphoto2 these functions return an integer id that must be passed to gp_log_remove_func
to uninstall the callback.
These functions are only usable since python-gphoto2 version 1.9.0.
They return a Python object which your program must store until the callback(s) are no longer required.
Deleting the returned object cancels the callback(s), so there is no need to do this yourself.
See the context_with_callbacks.py
example for a convenient way to do this.
Since python-gphoto2 version 1.2.0 these functions return a FileData
object that supports the buffer protocol.
The data can be made accessible to Python (2.7 and 3.x) by using a memoryview object.
This allows the data to be used without copying.
See the copy-data.py
example for typical usage.
In earlier versions of python-gphoto2 these functions returned a str
(Python 2) or bytes
(Python 3) object containing a copy of the data in the CameraFile
object.
Although the documentation says the buf
parameter is of type char *
you can pass any Python object that exposes a writeable buffer interface.
This allows you to read a file directly into a Python object without additional copying.
See the copy-chunks.py
example which uses memoryview to expose a bytearray.
These functions return both the event type and the event data.
The data you get depends on the type.
GP_EVENT_FILE_ADDED
and GP_EVENT_FOLDER_ADDED
events return a CameraFilePath
, others return None
or a text string.
Running SWIG
SWIG is used to convert the .i
interface definition files in src/gphoto2
to .py
and .c
files.
These are then compiled to build the Python interface to libgphoto2.
The files downloaded from PyPI include the SWIG generated files, but you may wish to regenerate them by running SWIG again (e.g. to test a new version of SWIG or of libgphoto2).
You will also need to run SWIG if you have downloaded the python-gphoto2 sources from GitHub instead of using PyPI.
The file setup.py
defines an extra command to run SWIG.
It has no user options:
python setup.py build_swig
By default this builds the interface for the version of libgphoto2 installed on your computer.
The interface files are created in directories with names like src/swig-bi-py3-gp2.5.0
.
This naming scheme allows for different versions of Python and libgphoto2, and use (or not) of the SWIG -builtin flag.
The appropriate version is chosen when the interface is built.
To build interfaces for multiple versions of libgphoto2 (e.g. v2.5.10 as well as v2.5.0) you need to put those versions' source files in your working directory and then run setup.py build_swig
again.
More information about this is in the file developer/README.txt
.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.