GStreamer Daemon - Python API

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The GStreamer Daemon Python Client or pygstc is a Python package that provides bindings for the main functionalities of the GStreamer Daemon. It uses a TCP socket to communicate with the daemon, but the implementation is abstract enough that the inter-process communication method can be changed with minimal modifications. It also includes a logger class, based in the Python logging module, that can be used or extended in other applications.

Getting Started

The pygstc package is installed by default in the current Python 3 environment during GstD installation:

cd <gstd_base>
sudo make install

You can also install it without installing the rest of the GstD components by running setup.py or pip3 in libgstc folder (may require sudo depending on your environment configuration):

cd <gstd_base>/libgstc/python
./setup.py install

or

cd <gstd_base>/libgstc/python
pip3 install .

Note: We recommend to use the setup.py script to install the package in the correct module path.


The pygstc unit tests are integrated with GstD tests. To run them, use the make check command (this requires having pygstc installed beforehand):

cd <gstd_base>
make check

Finally, you can check pygstc installation by running python and importing the package:

$ python
Python 3.5.6 |Anaconda, Inc.| (default, Aug 26 2018, 21:41:56) 
[GCC 7.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pygstc
>>>

Troubleshooting

When installing with pip3 install option the installation path can differ from the modules path. The error looks like:

Traceback (most recent call last):
    from pygstc.gstc import GstdClient
ModuleNotFoundError: No module named 'pygstc'

To avoid errors with the installing path use the setup.py script to install.

Package Components

gstc module

The main module of the package. It implements python bindings for the main GstD functionalities. The method names and parameters are based in the command line GstD client (gstd-client). If you have experience with that, using the python bindings will be trivial. Besides the command line methods, it only implements one other public method: ping_gstd, which can be used to check if GstD is running in a given IP and PORT. The client can also be used to control daemons running in other IP address, just make sure that anonymous TCP messages are not blocked by the network policies.

gstcerror module

This is a small module that contains all the exception classes for the package.

logger module

A logger module, based in the Python logging module, that can be used or extended in other applications. It contains two classes: the CustomLogger and the DummyLogger. The idea is that both of these classes present the same interface and the GstdClient class receives any of them as a constructor parameter(it uses the DummyLogger by default).

  • DummyLogger: Has the same methods as CustomLogger but discards all messages
  • CustomLogger: An extension to logging.logger that adds easier configuration options and colored logs. It has two default log handlers: a console logger (used by default) and a file logger (used if you pass the logfile parameter to the constructor). You can also pass a custom log handler using the set_handler method

tcp module

This module implements a simple TCP socket to communicate with GstD. It is a unidirectional socket that sends messages and then waits for a response.

pygstc Package Documentation

pygstc.gstc module

class pygstc.gstc.GstdClient(ip='localhost', port=5000, logger=None, timeout=0)

Bases: object

Class used as client to comunicate with the GStreamer Daemon over an abstract inter-process communication class.

action_emit(pipe_name, element, , action)

Emit an action to the element (actions with parameters are not supported yet)

Parameters
  • pipe_name (string) – The name of the pipeline

  • element (string) – The name of the element of the action

  • action (string) – The action name

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

bus_filter(pipe_name, filter)

Select the types of message to be read from the bus. Separate with a ‘+’, i.e.: eos+warning+error.

Parameters
  • pipe_name (string) – The name of the pipeline

  • filter (string) – Filter to be applied to the bus. ‘+’ reparated strings

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

bus_read(pipe_name)

Read the bus and wait.

Parameters

pipe_name (string) – The name of the pipeline

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

Returns

result – Command response

Return type

dictionary

bus_timeout(pipe_name, timeout)

Apply a timeout for the bus polling.

Parameters
  • pipe_name (string) – The name of the pipeline

  • timeout (int) – Timeout in nanosecons. -1: forever, 0: return immediately, n: wait n nanoseconds.

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

create(uri, property, value)

Create a resource at the given URI.

Parameters
  • uri (string) – Resource identifier

  • property (string) – The name of the property

  • value (string) – The initial value to be set

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

debug_color(colors)

Enable/Disable colors in the debug logging.

Parameters

colors (boolean) – Enable color in the debug

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

debug_enable(enable)

Enable/Disable GStreamer debug.

Parameters

enable (boolean) – Enable GStreamer debug

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

debug_reset(reset)

Enable/Disable debug threshold reset.

Parameters

reset (boolean) – Reset the debug threshold

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

debug_threshold(threshold)

The debug filter to apply (as you would use with gst-launch).

Parameters

threshold (string) – Debug threshold:

0 none No debug information is output.
0 none No debug information is output.
1 ERROR Logs all fatal errors.
2 WARNING Logs all warnings.
3 FIXME Logs all "fixme" messages.
4 INFO Logs all informational messages.
5 DEBUG Logs all debug messages.
6 LOG Logs all log messages.
7 TRACE Logs all trace messages.
9 MEMDUMP Logs all memory dump messages.

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

delete(uri, name)

Delete the resource held at the given URI with the given name.

Parameters
  • uri (string) – Resource identifier

  • name (string) – The name of the resource to delete

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

element_get(pipe_name, element, prop)

Queries a property in an element of a given pipeline.

Parameters
  • pipe_name (string) – The name of the pipeline

  • element (string) – The name of the element

  • prop (string) – The name of the property

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

Returns

result – Command response

Return type

string

element_set(pipe_name, element, prop, value)

Set a property in an element of a given pipeline.

Parameters
  • pipe_name (string) – The name of the pipeline

  • element (string) – The name of the element

  • prop (string) – The name of the property

  • value (string) – The value to set

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

event_eos(pipe_name)

Send an end-of-stream event.

Parameters

pipe_name (string) – The name of the pipeline

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

event_flush_start(pipe_name)

Put the pipeline in flushing mode.

Parameters

pipe_name (string) – The name of the pipeline

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

event_flush_stop(pipe_name, reset=True)

Take the pipeline out from flushing mode.

Parameters
  • pipe_name (string) – The name of the pipeline

  • reset (boolean) – Reset the event flush

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

event_seek(pipe_name, rate=1.0, format=3, flags=1, start_type=1, start=0, end_type=1, end=-1)

Perform a seek in the given pipeline

Parameters
  • pipe_name (string) – The name of the pipeline

  • rate (float) – The new playback rate. Default value: 1.0.

  • format (int) – The format of the seek values. Default value: 3.

  • flags (int) – The optional seek flags. Default value: 1.

  • start_type (int) – The type and flags for the new start position. Default value: 1.

  • start (int) – The value of the new start position. Default value: 0.

  • end_type (int) – The type and flags for the new end position. Default value: 1.

  • end (int) – The value of the new end position. Default value: -1.

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

list_elements(pipe_name)

List the elements in a given pipeline.

Parameters

pipe_name (string) – The name of the pipeline

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

Returns

result – List of elements

Return type

string

list_pipelines()

List the existing pipelines

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

Returns

result – List of pipelines

Return type

string

list_properties(pipe_name, element)

List the properties of an element in a given pipeline.

Parameters
  • pipe_name (string) – The name of the pipeline

  • element (string) – The name of the element

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

Returns

result – List of properties

Return type

string

list_signals(pipe_name, element)

List the signals of an element in a given pipeline.

Parameters
  • pipe_name (string) – The name of the pipeline

  • element (string) – The name of the element

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

Returns

result – List of signals

Return type

string

ping_gstd()

Test if GSTD responds in the configured address and port

Returns

result – Whether or not GSTD responds

Return type

bool

pipeline_create(pipe_name, pipe_desc)

Create a new pipeline based on the name and description.

Parameters
  • pipe_name (string) – The name of the pipeline

  • pipe_desc (string) – Pipeline description (same as gst-launch-1.0)

pipeline_delete(pipe_name)

Delete the pipeline with the given name.

Parameters

pipe_name (string) – The name of the pipeline

Raises
  • GstdError – Error is triggered when Gstd IPC fails

  • GstcError – Error is triggered when the Gstd python client fails internally

pipeline_get_graph(pipe_name)

Get the graph of the pipeline named name the graph is in GraphViz dot format.

Parameters
  • pipe_name (string) – The name of the pipeline

  • Raises
    • GstdError – Error is triggered when the Gstd server fails internally

    • GstcError – Error is triggered when Gstd IPC fails

    Returns

    result – Pipeline graph in GraphViz dot format

    Return type

    string

    pipeline_verbose(pipe_name, value)

    Enable/disable the verbose mode of the pipeline named name.

    Verbose mode is like the -v option on gst-launch.

    Parameters
  • pipe_name (string) – The name of the pipeline

  • value (boolean) – The value to set, true/false

  • Raises
    • GstdError – Error is triggered when the Gstd python client fails internally

    • GstcError – Error is triggered when Gstd IPC fails

    pipeline_pause(pipe_name)

    Set the pipeline to paused.

    Parameters

    pipe_name (string) – The name of the pipeline

    Raises
    • GstdError – Error is triggered when Gstd IPC fails

    • GstcError – Error is triggered when the Gstd python client fails internally

    pipeline_play(pipe_name)

    Set the pipeline to playing.

    Parameters

    pipe_name (string) – The name of the pipeline

    Raises
    • GstdError – Error is triggered when Gstd IPC fails

    • GstcError – Error is triggered when the Gstd python client fails internally

    pipeline_stop(pipe_name)

    Set the pipeline to null.

    Parameters

    pipe_name (string) – The name of the pipeline

    Raises
    • GstdError – Error is triggered when Gstd IPC fails

    • GstcError – Error is triggered when the Gstd python client fails internally

    read(uri)

    Read the resource held at the given URI with the given name.

    Parameters

    uri (string) – Resource identifier

    Raises
    • GstdError – Error is triggered when Gstd IPC fails

    • GstcError – Error is triggered when the Gstd python client fails internally

    Returns

    result – Command response

    Return type

    string

    signal_connect(pipe_name, element, signal)

    Connect to signal and wait.

    Parameters
    • pipe_name (string) – The name of the pipeline

    • element (string) – The name of the element

    • signal (string) – The name of the signal

    Raises
    • GstdError – Error is triggered when Gstd IPC fails

    • GstcError – Error is triggered when the Gstd python client fails internally

    Returns

    result – Command response

    Return type

    string

    signal_disconnect(pipe_name, element, signal)

    Disconnect from signal.

    Parameters
    • pipe_name (string) – The name of the pipeline

    • element (string) – The name of the element

    • signal (string) – The name of the signal

    Raises
    • GstdError – Error is triggered when Gstd IPC fails

    • GstcError – Error is triggered when the Gstd python client fails internally

    signal_timeout(pipe_name, element, signal, timeout)

    Apply a timeout for the signal waiting.

    Parameters
    • pipe_name (string) – The name of the pipeline

    • element (string) – The name of the element

    • signal (string) – The name of the signal

    • timeout (int) – Timeout in nanosecons. -1: forever, 0: return immediately, n: wait n microseconds.

    Raises
    • GstdError – Error is triggered when Gstd IPC fails

    • GstcError – Error is triggered when the Gstd python client fails internally

    update(uri, value)

    Update the resource at the given URI.

    Parameters
    • uri (string) – Resource identifier

    • value (string) – The value to set

    Raises
    • GstdError – Error is triggered when Gstd IPC fails

    • GstcError – Error is triggered when the Gstd python client fails internally

    pygstc.gstcerror module

    GSTC - GstdError Class

    exception pygstc.gstcerror.GstcError

    Bases: Exception

    Raised when the Gstd python client fails internally

    exception pygstc.gstcerror.GstdError

    Bases: Exception

    Raised when Gstd IPC fails

    pygstc.logger module

    pygstc.logger.COLORS = {'CRITICAL': '35m', 'DEBUG': '34m', 'ERROR': '31m', 'INFO': '37m', 'WARNING': '33m'}

    GSTC - ColorFormatter Class

    class pygstc.logger.ColorFormatter(msg)

    Bases: logging.Formatter

    Custom implementation of logging Formater class.

    format(record)

    Formats the log and adds colors according to the log level.

    Parameters

    record (string) – Message to format

    class pygstc.logger.CustomLogger(logname, logfile=None, loglevel='ERROR')

    Bases: object

    Custom implementation of logging Logger class.

    critical(log)

    Logs a critical level message.

    Parameters

    log (string) – The message to log

    debug(log)

    Logs a debug level message.

    Parameters

    log (string) – The message to log

    error(log)

    Logs an error level message.

    Parameters

    log (string) – The message to log

    info(log)

    Logs an info level message.

    Parameters

    log (string) – The message to log

    set_handler(handler)

    Changes the default file or console handler to a custom one passed as a parameter.

    Parameters

    handler (object) – The logging handler to use

    warning(log)

    Logs a warning level message.

    Parameters

    log (string) – The message to log

    class pygstc.logger.DummyLogger

    Bases: object

    Dummy implementation of the logging Logger that discards all logs.

    critical(log)

    Discards the log.

    debug(log)

    Discards the log.

    error(log)

    Discards the log.

    info(log)

    Discards the log.

    warning(log)

    Discards the log.

    pygstc.tcp module

    class pygstc.tcp.Ipc(logger, ip, port, maxsize=None, terminator=b'x00')

    Bases: object

    Implementation of IPC that uses TCP sockets to communicate with GSTD

    send(line, timeout=0)

    Create a socket and sends a message through it

    Parameters
    • line (string) – Message to send through the socket

    • timeout (int) – Timeout in seconds to wait for a response. 0: infinite

    Returns

    data – Decoded JSON string with the response

    Return type

    string

    Examples

    It is assumed for all the examples that GstD is already running in localhost port 5000 and 5001:

    gstd -p 5000 -n 2
    

    playing a simple pipeline

    This examples illustrates how to create and play a simple Gstreamer pipeline

    import time
    from pygstc.gstc import *
    from pygstc.logger import *
    
    pipeline = 'videotestsrc name=v0 ! fakesink'
    # Create a custom logger that logs into stdout, named pygstc_example, with debug level DEBUG
    gstd_logger = CustomLogger('pygstc_example', loglevel='DEBUG')
    # Create the client and pass the logger as a parameter
    gstd_client = GstdClient(logger=gstd_logger)
    gstd_client.pipeline_create('p0', pipeline)
    gstd_client.pipeline_play('p0')
    # Wait for the pipeline to change state
    time.sleep(0.1)
    # This should print 'PLAYING'
    print(gstd_client.read('pipelines/p0/state')['value'])
    gstd_client.pipeline_stop('p0')
    gstd_client.pipeline_delete('p0')

    handling signals

    This example illustrates how to use threading to connect to and handle signals.

    import threading
    import time
    from pygstc.gstc import *
    from pygstc.logger import *
    
    #signal_connect is a blocking call, so we need to do it in a separate thread to avoid blocking the main thread.
    def signal_connect_handler():
        gstd_logger = CustomLogger('test_libgstc', loglevel='DEBUG')
        # Create the client in a different port (5001) to avoid congestion
        # You can still use port 5000, signal_connect does not block the port, only the thread
        gstd_client = GstdClient(logger=gstd_logger, port=5001)
        # You can do this inside a while loop to handle multiple signals
        ret_val = gstd_client.signal_connect('p0', 'identity', 'handoff')
        print(ret_val)
    
    pipeline = 'videotestsrc ! identity name=identity ! fakesink'
    gstd_logger = CustomLogger('pygstc_example', loglevel='DEBUG')
    gstd_client = GstdClient(logger=gstd_logger)
    gstd_client.pipeline_create('p0', pipeline)
    gstd_client.pipeline_play('p0')
    # Create the thread
    signal_connect_thread = threading.Thread(target=signal_connect_handler)
    ret_thr.start()
    time.sleep(0.1)
    # You can disconnect the signal from this thread to unlock the second thread
    self.gstd_client.signal_disconnect('p0', 'identity', 'handoff')
    gstd_client.pipeline_stop('p0')
    gstd_client.pipeline_delete('p0')

    Real Use Cases


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