Skip to main content

Digital Cinema Package (DCP) probing and checking utility

Project description

Build Status PyPI version Code coverage

ClairMeta

ClairMeta is a python package for Digital Cinema Package (DCP) probing and checking.

Features

  • DCP Probe:
    • Metadata extraction of the whole DCP, including all XML fields and MXF assets inspection.

  • DCP Checker:
    • SMPTE / Interop standard convention

    • Integrity (MIME type, size, hash) of all assets

    • Foreign file identification

    • XSD Schema validation for XML files (VOLINDEX, ASSETMAP, CPL, PKL)

    • Digital signature validation (CPL, PKL)

    • Intra / Inter Reels integrity and coherence

    • Metadata match between CPL assets and MXF headers

    • Re-link VF / OV

    • Picture tests : FrameRate, BitRate

    • Sound tests : Channels, Sampling

    • Subtitle : Deep inspection of Interop and SMPTE subtitles

  • DSM / DCDM Checker:
    • Basic image file sequence validation with some specific rules.

Installation

Requirements:

  • Python: 3.6 or later

  • Platform: Windows (with limitations), macOS, Linux

  • External (non-python) dependencies:
    • asdcplib

    • mediainfo (opt)

    • sox (opt)

Install from PyPI package (this does not install external dependencies):

pip install clairmeta

If you need help installing the external dependencies, you can have a look at our continuous integration system, specifically the .github folder.

Usage

General

As a command line tool:

# Probing
python3 -m clairmeta.cli probe -type dcp path/to/dcp
python3 -m clairmeta.cli probe -type dcp path/to/dcp -format json > dcp.json
python3 -m clairmeta.cli probe -type dcp path/to/dcp -format xml > dcp.xml

# Checking
python3 -m clairmeta.cli check -type dcp path/to/dcp
python3 -m clairmeta.cli check -type dcp path/to/dcp -format json > check.json
python3 -m clairmeta.cli check -type dcp path/to/dcp -format xml > check.xml
python3 -m clairmeta.cli check -type dcp path/to/dcp -kdm /path/to/kdm -key /path/to/privatekey
python3 -m clairmeta.cli check -type dcp path/to/dcp -progress

As a python library:

from clairmeta import DCP

dcp = DCP("path/to/dcp")
dcp.parse()
status, report = dcp.check()
# Check DCP VF against OV
status, report = dcp.check(ov_path="/path/to/dcp_ov")
# DCP check with console progression report
from clairmeta.utils.file import ConsoleProgress

status, report = dcp.check(hash_callback=ConsoleProgress())
# Alternatives
# - function matching utils.file.ConsoleProgress.__call__ signature
# - derived class from utils.file.ConsoleProgress

Profiles

Check profile allow custom configuration of the DCP check process such as bypassing some unwanted tests or error level specification. To implement a check profile, simply write a JSON file derived from this template (actual content listed below is for demonstration purposes only):

  • criticality key allow custom criteria level specification, check name can be incomplete to quickly ignore a bunch of tests, default is used if no other match where found.

  • bypass key allow specific test bypass, incomplete names are not allowed.

  • allowed_foreign_files key specify files that are allowed in the DCP folder and should not trigger the foreign file check.

{
    "criticality": {
        "default": "ERROR",
        "check_dcnc_": "WARNING",
        "check_cpl_reel_duration_picture_subtitles": "WARNING",
        "check_picture_cpl_avg_bitrate": "WARNING",
        "check_picture_cpl_resolution": "WARNING"
    },
    "bypass": ["check_assets_pkl_hash"],
    "allowed_foreign_files": ["md5.md5"]
}

Custom profile check:

python3 -m clairmeta.cli check -type dcp path/to/dcp -profile path/to/profile.json
from clairmeta import DCP
from clairmeta.profile import load_profile

dcp = DCP("path/to/dcp")
profile = load_profile("/path/to/profile.json")
status, report = dcp.check(profile=profile)

Logging

Logging is customizable, see the settings.py file or below. By default ClairMeta logs to stdout and a rotated log file.

'level': 'INFO'  # Minimum log level
'enable_console': True  # Enable / Disable stdout logging
'enable_file': True  # Enable / Disable file logging
'file_name': '/log/path/clairmeta.log'  # Log file absolute path
'file_size': 1e6  # Individual log file maximum size
'file_count': 10  # Number of files to rotate on

Contributing

  • To setup your environment follow these steps:

git clone https://github.com/Ymagis/ClairMeta.git
cd clairmeta
git clone https://github.com/Ymagis/ClairMeta_Data tests/resources

pip install pipenv
pipenv install --dev
pipenv shell

# Code... and tests
pytest --doctest-modules
  • Open a Pull Request

  • Open an Issue

Changes

The release changes are available on Github: https://github.com/Ymagis/ClairMeta/releases

References

The following sources / software were used:

About

http://www.ymagis.com/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

clairmeta-1.4.0.tar.gz (100.2 kB view hashes)

Uploaded Source

Built Distribution

clairmeta-1.4.0-py2.py3-none-any.whl (121.6 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page