Colophon is a tool to take a media object manifest, find related files using a flexible matching system, and then run any number of scripts to validate the files founds. The output is then bundled into a zip file, including HTML report summary, JSON data details, and full output of all scripts run.
Table of Contents
- Installing
- How Colophon Works
- Running Colophon
- The Manifest File
- The Suite File
- Check Scripts
- Copyright and License
Colophon is written primarily in Python, but makes use of scripts to run validation tests. These scripts can be written in any language, and you can add your own quite easily!
Create your virutal environment
# Using virtualenv here, but you can use whatever you want
virtualenv -p python3 env
Install Python dependences
# Activate your virtual environment
. env/bin/activate
# Install dependencies defined in the requirements.txt file
pip3 install -r requirements.txt
Running colophon
# If you've activated your environment
./colophon -h
# Or call via env directly
./env/bin/python3 colophon -h
Depending on which scripts you use, some of all of the following dependendies will be needed. Here are the commands to install them on Ubuntu, but you should be able to easily find these packages on most Linux distributions.
Install dependencies on Ubuntu (bash
already present)
apt install -y jq imagemagick mediainfo
Before you can run Colophon, you will need the following:
- A folder with data to be checked (the files source directory)
- A CSV listing records that need to be verified (the manifest)
- A configuration file of what tests to run (the suite of tests)
- Error: A script was unable to complete. This is likely due to due incorrect input or missing dependencies.
- Failure: A script ran to completion, but the validation did not succeed on the given file using the given parameters.
Colophon starts with the manifest file. This is an arbitrary CSV file with a header row to give column labels.
"mediatype","basename", "title"
"Video", "UP-F00001","UPP302 - Press presentation 02/10/2004"
"Video", "UP-F00002","UPP710 - President's speech 12/20/2007"
"Book", "UP-F00003","UPP098 - College pamphlet 1921"
When running Colphon, you will also specify a directory where files related to the manifest should be found.
batch_01/upp302/UP-F00001.mkv
batch_01/upp302/UP-F00001.mkv.md5
batch_01/upp302/UP-F00001.mp4
batch_01/upp302/UP-F00001.mp4.md5
batch_01/upp302/UP-F00001_asset_cover.tif
batch_01/upp302/UP-F00001_asset_back.tif
batch_01/upp710/UP-F00002.mkv
batch_01/upp302/UP-F00002.mkv.md5
batch_01/upp710/UP-F00002.mp4
batch_01/upp302/UP-F00002_digitization_notes.txt
batch_01/upp098/UP-F00003.pdf
batch_01/upp098/UP-F00003_front.tif
batch_01/upp098/UP-F00003_back.tif
batch_01/upp098/UP-F00003_front.jpg
batch_01/upp098/UP-F00003_back.jpg
And finally, a test suite file while specifies what Colophon should do.
Example of the first part of a test suite file. The manifest:
section:
manifest:
id: "{{ basename }}" # id should be unique data; it's used in logs and output
filter: # only use manifest rows that match these filters
- value: mediatype
equals: Video
files: # find files matching the manifest row
- label: preserve_copy
startswith: "{{ basename }}"
endswith: '.mkv'
- label: access_copy
startswith: "{{ basename }}"
endswith: '.mp4'
- label: preserve_hash
startswith: "{{ basename }}"
endswith: '.mkv.md5'
- label: access_hash
startswith: "{{ basename }}"
endswith: '.mp4.md5'
- label: asset_file
multiple: true
optional: true
startswith: "{{ basename }}"
regex: '_asset.*\.tif$'
Colophon will iterate over the rows in the manifest, comparing it to the suite and source directory. If manifest row matches the given suite files, Colophon will attempt to find matching files from the source directory based of definitions within the suite file.
Example of the second part of a test suite file. The stages:
section:
stages: # run a set of stages (scripts) for each manifest row
access.hash: # each stage name is just a label for identifing the stage
script: "scripts/verify-hash -c {{ access_copy }} -f {{ access_hash }} -v -J {{ results_path }}"
preserve.hash:
script: "scripts/verify-hash -c {{ preserve_copy }} -f {{ preserve_hash }} -v -J {{ results_path }}"
access.audio:
script: "scripts/validate-audio -c {{ access_copy }} -s 48000 -m CBR -v -J {{ results_path }}"
preserve.audio:
script: "scripts/validate-audio -c {{ prezerve_copy }} -s 48000 -m CBR -b 24 -v -J {{ results_path }}"
access.video:
script: "scripts/validate-video -c {{ access_copy }} -d 640x480 -b 8 -v -J {{ results_path }}"
preserve.video:
script: "scripts/validate-video -c {{ preserve_copy }} -d 720x486 -b 10 -v -J {{ results_path }}"
With files in hand, Colophon then runs stages of user-defined scripts (also defined in the suite file). If those scripts succeed, then we move onto the next stage. Once all stages are completed for a manifest row, the process repeats for the next row until all rows are completed.
Finally, all results, reports, and script output are bundled together and returned as a zip file.
Example section of the summary.json
file, which is included in the output:
{
"row-overview": {
"succeeded": 1,
"failed": 1,
"skipped": 1
},
"skipped": ["UP-F00003"],
"failed": ["UP-F00002"],
"unassociated-files": [
"batch_01/upp302/UP-F00002_digitization_notes.txt"
],
"rows": {
"UP-F00001": {
"exit-codes": {
"0": {
"occurrences": 6,
"code-meaning": "success"
}
}
},
"UP-F00002": {
"failures": [
"Manifest(id=UP-F00002) was required to match a file for label 'access_hash', but no matching file was found."
]
},
"UP-F00003": {
"skipped-because": "Filter did not match: {'value': 'mediatype', 'equals': 'video'}"
}
}
}
Much of Colophon process is user defined, which makes it very flexible and configurable. It does mean you will need to invest some time into creating a the suite file before running your verifications.
Assuming you have the three required components ready (source directory,
manifest file, suite file), then running colophon
is quite simple.
./colophon -m example_manifest.csv -s suites/verify-video.yml -d example_files/ -v
Where the arguments are:
example_manifest.csv
is the CSV file containing the manifestsuites/verify-video.yml
is a YAML file defining the suite to run against the manifestexample_files/
is a directory where files associated with the manifest are located
A full list of command options is also avilable by using the -h
or --help
flag.
-m, --manifest MNFST
The file manifest as csv file; first row defines labels for each column [required]-s, --suite SUITE
The suite file defining files to match and what stages to run [required]-d, --dir DIR
The source directory in which to find files defined by the suite and manifest [required]-w, --workdir WORKDIR
A directory where to store temp files and results-r, --retry FAILED
Re-run failed tests specified in provided JSON file from previous run-i, --ignore-missing
Ignore manifest entries that have no files matched-t, --strict
Exit code 0 only with no manifest entries skipped and no unassociated files-v, --verbose
Provide details output while running (verbose logs will always be inlcuded in output bundle)-q, --quiet
Suppress output while running
The primary colophon
script has three possible exit codes.
0
There were no failures when running stages on manifest entries.1
An error occured. See output/logs for detals.2
While running stages, one or more failures occurred.2
(When using strict mode) A manifest entry was skipped or there were unassociated files.
If colophon
exits without an error (exit code 0
or 2
), the only output to
stdout will be the full path of of the results zip file. Any other output during
a normal run will be to stderr.
Should colophon
exit with an error, no results zip file will be generated. All
error messages will be send to stderr. You can also inspect files in the
workdir for additional information. The workdir is where files are placed before
getting added to the zip archive. The workdir is either manually specified with
the --workdir
flag or created automatically in a temp directory (e.g. in /tmp/
).
Details on what is contained within an output file are listed below.
summary.json
A JSON file containing all manifest objects, including number of
successful stages for each, failures and a short description for the failure reason,
and explainations of why an manifest row was skipped. Additionally, if any files
from the source directory did not matched any rows, they are listed as
unassociated-files
in the summary.
results.json
A JSON files where scripts invoked by the stages can store additional
output.
manifest.csv
The processed manifest file, including any additional columns created
from suite file matches.
colophon.log
The verbose logs from the main colophon
program.
{ID}/{STAGE}/stdout.txt
For each stage/manifest row, the a file recording the
stdout generated by script script.
{ID}/{STAGE}/stderr.txt
For each stage/manifest row, the a file recording the
stderr generated by script script.
{ID}/{STAGE}/ecode.{EXITCODE}
For each stage/manifest row, the a file identifying
the exit code from the script run. Human readable tags
describing the exit code are within the file.
The manifest is a CSV file with fields relevant to performing the quality control checks desired. The can include:
- Sufficient naming to identify files
- Some identifying data, in the case where the name info doesn't do this
- The type of object or media, if multiple types are present
- Additional fields specifying validation parameters where they could vary from record to record
- E.g. Video resolution, color bit depth, compression type
An example manifest could look like this:
"mediatype","basename","name", "resolution", "DPI"
"audio","MSUF000000","Adams interview", "", ""
"Video","MSUF000001","Billing's debate", "720x480", ""
"book","MSUF000002","Chloe's Biography", "", "400"
"Audio","MSUF000003","Declan's speech", "", ""
"Video","MSUF000005","Eric's review", "640x480", ""
"Book","MSUF000006","Ferrell's history ", "", "300"
If an attribute of a file is going to be consistent across all items being verified, they do not need to be in the manifest. We can put those values into the testing suite directly.
If you have a spreadsheet, such as a .xlsx
or .ods
with the needed fields,
Colophon comes with a helper script to convert it to .csv
. It may
be easier to create a new .csv
using your preferred spreadsheet program, this
script may help if you are trying to create a programmatic solutions.
It takes a mapping of old column IDs (e.g. a
, b
, etc) to new column names,
as well as number of header rows to ignore.
Example manifest map .yml
file:
---
skiprows: 1
columns:
- column: b
label: mediatype
- column: c
label: basename
- column: f
label: name
- column: j
label: resolution
- column: n
label: dpi
Generating the manifest:
./helpers/generate-manifest-from-spreadsheet -s my-speadsheet.xlsx -m my-mapfile.yml -o my-new-manifest.csv
The suite file is written in Yaml and defines everything Colophon does when you run it.
Example suite files are provided in the suites/
directory with Colophon. You will
need to heavily modify these to suite your own media if you decide to start with one of these.
Basic structure of a suite files is as follows:
---
# The manifest: section defines how Colophon will read/update the manifest.
# It operates on a row-by-row basis within the manifest. E.g. each row in the
# manifest will be checked against the filter: and each row will search to
# find matching files: from the source directory.
manifest:
# The id: allows you to define how a manifest row is referred to by Colophon
# A string value that should be unique (otherwise it would serve as a poor identifier!)
id: # (string)
# The filter: allows you to selectively iterate over only manifest rows which
# match all the filters you define here.
filter: # (list)
# The files: has you define rules for finding each of the files from the source
# directory which will be associated with the manifest row. Each file has
# a label you define and that label will be added to the manifest with the
# associated value being the matched file(s).
files: # (list)
# The stages: section defines a set of independent stages, each with a command
# that will be run using the manifest row data. This happens only AFTER the
# above manifest: section has completed filtering and finding files.
stages: # (associative array)
A full definition of manifest fields, templating values into them, and their sub-fields are covered in the next documentation sections.
Colophon makes use of Jinja2 template rendering
when parsing values from suite files (except for regex
expressons).
Any fields within the manifest can be referenced inside the suite by means of Jinja expressions,
such as {{ field_name }}
. Depending on the context, additional variables may be available within
the template render context.
For example, if the manifest had a column header called objectname
, then you would
be able to reference {{ objectname }}
within a string to insert the row value for
that column.
In addition to built-in Jina2 filters, Colophon provides the additional filters:
basename
Runs Python'sos.path.basename()
on the value.esh
Escapes the value for use as a shell command argument. This is applied automatically withinstages:
section of suites.
manifest.files:
Within the files:
section, the following variables are available in addition to
the normal manifest
fields:
file.name
: The full name of the file (no path)file.path
: The full path of the filefile.base
: The name of the file without its extensionfile.ext
: The file extension (no leading period)file.size
: The size of the file in bytes
stages
Within the stages:
section, any files defined within the manifest.files:
section have
already been added to the manifest. The label:
becomes the manifest field name, and the
matched file becomes the value (or blank if not match and the file was optional).
With stages, the variable results_path
is also available. This is the path to the
results.json
which will be included in the output zip bundle. This is indended to be
used with scripts' -J
flag, which may output JSON results.
Note: Jinja variables within the stages
section of the manifest will be automatically
quoted for use as arguments within a shell environment.
The id:
field in the manifest is used within logs to identify which row the log entry
is referring to. It is strongly recommended you define this to be a unique value from
within your manifest.
manifest:
id: "{{ mediatype }}-{{ objectid }}"
Allows the suite to filter specific rows to process. Only rows matching all provided filters will be used. Rows which do not match the filters will be ignored.
Each filter is an associative array and takes a value:
, which must be a
manifest field name. Additionally, it needs one or more types of filters.
The filter types are:
equals:
The field invalue:
must be exactly the value of this.startswith:
The field invalue:
must start with the value of this.endswith:
The field invalue:
must end with the value of this.regex:
The field invalue:
must match this regular expression. (Note thatregex:
values do NOT render as Jinja2 templates.)ignorecase:
Boolean. If set totrue
, the other filter types within this filter are case insensitive. (Note that this does affectregex:
.)greaterthan:
The field invalue:
must be numerically greater than this.lessthan:
The field invalue:
must be numerically less than this.
manifest:
filters:
- value: mediatype
equals: audio
ignorecase: true
- value: donor
endswith: Smith
- value: year
greaterthan: 1950
lessthan: 1961
Define which files should be found for each row in the manifest. Each
item in the files:
section requires a label:
defined. The label:
will be a new field within the manifest for which the value will be the
path of the matched file(s).
Each entry in files:
also makes use of the same filter types
defined in the manifest.filters:
section above.
Additionally, the following fields are available:
multiple:
Boolean. If set totrue
, this file entry can match any number of files.optional:
Boolean. If set totrue
, this file entry is optional and will not cause a failure should no matching files be found.linkedto:
Defines a linked file. Must be givenlabel:
to another file that has already been defined. This requires a file match for each file match the linked file entry finds, even if that linked file entry was optional.
manifest:
files:
- label: metadata_file
startswith: "{{ objectname }}"
endswith: '_mods.xml'
- label: pres_file
startswith: "{{ objectname }}"
regex: '(?:\.mov|\.mkv)$'
- label: pres_hash
startswith: "{{ objectname }}"
regex: '(?:\.mov|\.mkv).md5$'
- label: asset
multiple: true
optional: true
startswith: "{{ objectname }}"
endswith: '_asset.tif'
- label: asset_hash
linkedto: asset
startswith: "{{ asset | basename }}"
endswith: '.md5'
The stages:
section contains any number of stages which will be iterated
over in order.
Where STAGE_NAME
is a unique value used to identify that stage. For example,
it could be stage1.0
, stage1.1
, stage1.2
, etc. Or more descriptive like
audio.file-metadata
,audio.waveform
,video-metadata
, etc.
The STAGE_NAME
will be used within logs and in structuring the location of script
output files (e.g. stdout.txt
).
Define the script command to run for the given stage. Jinja expressions used within the command will be auto-escaped for use as arguments within a shell command.
The output of the command will always be saved in the output zip bundle within
the path {{ manifest.id }}/{{ STAGE_NAME }}/
:
stdout.txt
All output to stdout while the script ran.stderr.txt
All output to stderr while the script ran.ecode.?
The script exit code (where?
is in the filename). The contents of the file will also include the exit code and human readable label(s) explaining the exit code's meaning.
stages:
video.hash:
script: "scripts/verify-hash -c {{ media_file }} -f {{ media_file_hash }} -v -J {{ results_path }}"
video.size:
script: "custom-scripts/validate-size -c {{ media_file }} --min-size {{ bytes_lower }} --max-size {{ bytes_upper }} -v"
Colophon works by running a set of check scripts in stages against your manifest.
Well written scripts will provide a full list of flags and their use by using the -h
or
--help
flag.
$ ./scripts/verify-hash -h
Usage: verify-hash [FLAGS]
Verify a file contents matches a given hash
FLAGS:
-c|--check-file FILE
The file to verify
-f|--hash-file HASH_FILE
A file containing a hash to verify against.
-s|--hash-str HASH_STR
A string hash to verify against.
-a|--algo ALGO
The algorithm to use. E.g. md5, sha1, sha256, etc
-J|--json JSON
Write results to the file JSON.
-v|--verbose
Display verbose output.
Colophon includes a number of check-scripts, though you can always write your own. Additional scripts and script features will be included with each future Colophon release.
All these are included in the scripts/
directory. A brief summary of these scripts are included below. For the most up-to-date info on these scripts, refer to their --help
info.
Verify a file contents matches a given hash, the hash being either in a file or passed as string argument.
Example use:
# Verify MD5 hash of media-file.wav matches hash within media-file.wav.md5 (algo auto-detected)
./scripts/verify-hash -c media-file.wav -f media-file.wav.md5 -v
# Verify MD5 hash of media-file.wav matches hash within media-file.wav.md5 (hash file auto-detected)
./scripts/verify-hash -c media-file.wav -a md5 -v
# Verify MD5 hash of media-file.wav matched provided string hash
./scripts/verify-hash -c media-file.wav -s d8e8fca2dc0f896fd7cb4cb0031ba249 -v
Validate the given image has the attributes provided. If multiple values for the same attribute is given, the image may match any one of them.
Example use:
# Validate image dimension either of the provided options and that compression is disabled
./scripts/validate-image -c media-file.tif -d 4000x3000 -d 6000x3000 -x none -v
# Validate image dimension is exactly the provided one and that compression is LZW
./scripts/validate-image -c media-file.tif -d 1600x1200 -x lzw -v
Validate the given audio file, or an audio stream in a video file, has the attributes provided. If multiple values for the same attribute is given, the media file may match any one of them.
Example use:
# Validate audio stream sampling rate (either 44100 or 48000), bitrate mode (CBR), and bit depth (24)
./scripts/validate-audio -c media-file.wav -s 48000 -s 44100 -m cbr -b 24 -v
Validate the given video file has the attributes provided. If multiple values for the same attribute is given, the media file may match any one of them.
Example use:
# Validate video stream dimensions (either 720x486 or 720x480) and color bit depth (10)
./scripts/validate-video -c media-file.mkv -d 720x486 -d 720x480 -b 10 -v
A check script can be written in any lanugage or shell which abides by a set of rules.
Check scripts should accept relative paths as input arguments and should NOT attempt to convert them into absolute paths at any point. If relative paths were passed in, then relative paths should be used for any logs or output.
It is recommended that a check script can accept a JSON file as an input argument.
This would be the results.json
and the script should write the result of its
check to this file in a manner that does not overwrite any other data in the file
(additions only).
The choice for how you accept input arguments for the script is up to you, but
it is recommended to follow the same style as existing scripts. Have a look at
the scripts/
directory for examples.
- A script must never modify any data or file from the source directory.
- A script must never create any files/folders inside the source directory.
Output from a check script may write anything to stdout or stderr, be it output from commands it is calling, debug messages, or informational messages.
A check script should write failures or warning information to stderr instead of stdout. This will be logged separately in order to help assist with reviewing and media issues found.
A check script may write structured output data into the Results-JSON file.
Check scripts must have a standard exit code which indicates the result
of the script. A code of 0
means the check was successful. Any other value means
something occurred which might require attention; this includes failing the
check entirely, but may also be something like a warning notice. In call cases
where a non-0
exit code was generated, you can refer to the script output
for details.
Exit Codes
0
indicates that the script ran successfully and no issues were found.1
indicates that the check failed for some reason. See output/logs.3
indicates that the file(s) used as part of the check were missing or unreadable.5
indicates that the parameters passed to the script were incomplete or invalid.9
indicates that the script ran, but warning messages were generated.16
indicates that the check did NOT fail, but the manifest row should be marked as ignored.
When creating a check script at its simplest form, a script that returns
either 0
or 1
will suffice.
Note the special value 16
allows a script to stop a row from being futher processed.
Essentially, this can be leveraged to do the same thing as a filter:
would (ignoring
the manifest row), only from within the stages:
section.
Exit code can be broken down into binary representation, each bit indicated
a state. Each state has a descriptive string associated with it. Numerical values
may be added up to represent the desired status.
(E.g. 25
would indicate 16
+ 8
+ 1
)
Number (Bit) | Descriptive message | Meaning |
---|---|---|
128 (7) | N/A | Bit reserved for future use |
64 (6) | N/A | Bit reserved for future use |
32 (5) | N/A | Bit reserved for future use |
16 (4) | skip_manfest_row |
Script indicated this manifest row should be skipped in all further processing |
8 (3) | warning_logged |
One or more warning was generated by the script |
4 (2) | bad_argument |
One or more script arguments were incorrect or misused |
2 (1) | inaccessible_file |
One or more files were missing or inaccessible |
1 (0) | failure |
Script encountered failure |
0 (if unset) | success |
Script ran without a failure |
It is recommended that scripts accept a JSON file as an argument (using the -J
flag is preferred). The scripts may then output structured results by
creating/updating the JSON file.
If the given results JSON file already exist, the script should add data to it. If the JSON file does not exist, then the script must create the file itself.
In dealing with the results JSON files, the script should:
- Never overwrite other data already in and existing JSON file.
- Attempt to write data in a way where collisions would never occur; e.g. appending to a list.
- Separate results generated using the check script from other results in the file.
- Preferably, output should be written under a key that matches the script's filename.
Writing to the results file in the following manner is recommended:
{
"my-check-script": [
{
"file": "/path/to/fileA.txt",
"outcome": "acceptable"
},
{
"file": "/path/to/fileB.txt",
"outcome": "unacceptable"
}
]
}
However, writing to the results file in this next manner is discouraged:
{
"/path/to/fileA.txt": [
{
"script": "my-check-script",
"outcome": "acceptable"
}
],
"/path/to/fileB.txt": [
{
"script": "my-check-script",
"outcome": "unacceptable"
}
]
}
This second bad example of output fails to separate the script output from other types of output. If two scripts did the same practice, then both differing output types would be mixed in the same list format! This would be very annoying to try to parse.
Written by Nathan Collins (npcollins/gmail/com)
Copyright © 2021 Michigan State University Board of Trustees
Released under the MIT License