Welcome to pdsparser’s documentation!

Introduction

pdsparser is a Python module that reads a PDS3 label file and converts its entire content to a Python dictionary.

It is supported by the PDS Ring-Moon Systems Node, SETI Institute.

Installation

The pdsparser module is available via the rms-pdsparser package on PyPI and can be installed with:

pip install rms-pdsparser

Getting Started

The typical way to use this is as follows:

from pdsparser import PdsLabel
label = PdsLabel(label_path)

where label_path is the path to a PDS3 label file or a data file containing an attached PDS3 label. The returned object label is an object of class PdsLabel, which supports the Python dictionary API and provides access to the content of the label.

Example 1

Suppose this is the content of a PDS3 label:

PDS_VERSION_ID                  = PDS3
RECORD_TYPE                     = FIXED_LENGTH
RECORD_BYTES                    = 2000
FILE_RECORDS                    = 1001
^VICAR_HEADER                   = ("C3450702_GEOMED.IMG", 1)
^IMAGE                          = ("C3450702_GEOMED.IMG", 2000 <BYTES>)

/* Image Description  */

INSTRUMENT_HOST_NAME            = "VOYAGER 1"
INSTRUMENT_HOST_NAME            = VG1
IMAGE_TIME                      = 1980-10-29T09:58:10.00
FILTER_NAME                     = VIOLET
EXPOSURE_DURATION               = 1.920 <SECOND>

DESCRIPTION                     = "This image is the result of geometrically
correcting the corresponding CALIB image (C3450702_CALIB.IMG)."

OBJECT                          = VICAR_HEADER
  HEADER_TYPE                   = VICAR
  BYTES                         = 2000
  RECORDS                       = 1
  INTERCHANGE_FORMAT            = ASCII
  DESCRIPTION                   = "VICAR format label for the image."
END_OBJECT                      = VICAR_HEADER

OBJECT                          = IMAGE
  LINES                         = 1000
  LINE_SAMPLES                  = 1000
  SAMPLE_TYPE                   = LSB_INTEGER
  SAMPLE_BITS                   = 16
  BIT_MASK                      = 16#7FFF#
END_OBJECT                      = IMAGE
END

This will be the returned dictionary:

{'PDS_VERSION_ID': 'PDS3',
 'RECORD_TYPE': 'FIXED_LENGTH',
 'RECORD_BYTES': 2000,
 'FILE_RECORDS': 1001,
 '^VICAR_HEADER': 'C3450702_GEOMED.IMG',
 '^VICAR_HEADER_offset': 1,
 '^VICAR_HEADER_unit': '',
 '^VICAR_HEADER_fmt': '("C3450702_GEOMED.IMG", 1)',
 '^IMAGE': 'C3450702_GEOMED.IMG',
 '^IMAGE_offset': 2000,
 '^IMAGE_unit': '<BYTES>',
 '^IMAGE_fmt': '("C3450702_GEOMED.IMG", 2000 <BYTES>)',
 'INSTRUMENT_HOST_NAME_1': 'VOYAGER 1',
 'INSTRUMENT_HOST_NAME_2': 'VG1',
 'IMAGE_TIME': datetime.datetime(1980, 10, 29, 9, 58, 10),
 'IMAGE_TIME_day': -7003,
 'IMAGE_TIME_sec': 35890.0,
 'IMAGE_TIME_fmt': '1980-10-29T09:58:10.000',
 'FILTER_NAME': 'VIOLET',
 'EXPOSURE_DURATION': 1.92,
 'EXPOSURE_DURATION_unit': '<SECOND>',
 'DESCRIPTION': 'This image is the result of geometrically\n
correcting the corresponding CALIB image (C3450702_CALIB.IMG).',
 'DESCRIPTION_unwrap': 'This image is the result of geometrically correcting the corresponding CALIB image (C3450702_CALIB.IMG).',
 'VICAR_HEADER': {'OBJECT': 'VICAR_HEADER',
                  'HEADER_TYPE': 'VICAR',
                  'BYTES': 2000,
                  'RECORDS': 1,
                  'INTERCHANGE_FORMAT': 'ASCII',
                  'DESCRIPTION': 'VICAR format label for the image.',
                  'END_OBJECT': 'VICAR_HEADER'},
 'IMAGE': {'OBJECT': 'IMAGE',
           'LINES': 1000,
           'LINE_SAMPLES': 1000,
           'SAMPLE_TYPE': 'LSB_INTEGER',
           'SAMPLE_BITS': 16,
           'BIT_MASK': 32767,
           'BIT_MASK_radix': 16,
           'BIT_MASK_digits': '7FFF',
           'BIT_MASK_fmt': '16#7FFF#',
           'END_OBJECT': 'IMAGE'},
 'END': '',
 'objects': ['VICAR_HEADER', 'IMAGE']}

As you can see:

• Most PDS3 label keywords become keys in the dictionary without change.

• OBJECTs and GROUPs are converted to sub-dictionaries and are keyed by the value of the PDS3 keyword. In this example, label['VICAR_HEADER']['HEADER_TYPE'] returns “VICAR”.

• If a keyword is repeated at the top level or within an object or group, it receives a suffix _1, _2, _3, etc. to distinguish it.

• If a value has units, there is an additional keyword in the dictionary with _unit as a suffix, containing the name of the unit.

• For text values that contain a newline, trailing blanks are suppressed. In addition, a dictionary key with the suffix _unwrap contains the same text as full paragraphs separated by newlines.

• For a file pointer of the form (filename, offset) or (filename, offset <BYTES>), the keyed value is just the filename. The offset value provided with _offset appended to the dictionary key, and the unit is provided with _unit appended to the key.

• For based integers of the form radix#digits#, the dictionary value is converted to an integer. However, the radix and the digit string are provided using keys with the suffix _radix and _digits. Also, the key with suffix _fmt provides a full, PDS3-formatted version of the value.

• Dates and times are converted to Python datetime objects. However, additional dictionary keys appear with the suffix _day for the day number relative to Janary 1, 2000 and _sec for the elapsed seconds within that day.

• For items that have special formatting within a label, such file pointers, dates, and integers with a radix, the key with a _fmt suffix provides the PDS3-formatted value for reference.

• Each dictionary containing OBJECTs ends with an entry keyed by “objects”, which returns the ordered list of all the OBJECT keys in that dictionary. Similarly, each dictionary containing GROUPs has an entry keyed by “groups”, which returns the list of all the GROUP keys. These provide a easy way to iterate through objects and groups in the label.

Example 2

Within TABLE and SPREADSHEET objects, the dictionary keys of the embedded COLUMN, BIT_COLUMN, and FIELD objects are keyed by the value of the NAME keyword (rather than by using repeated keywords COLUMN_1, COLUMN_2, COLUMN_3, etc.). For example, suppose this appears in a PDS3 label:

OBJECT = TABLE
  OBJECT = COLUMN
    NAME = VOLUME_ID
    START_BYTE = 1
  END_OBJECT = COLUMN
  OBJECT = COLUMN
    NAME = FILE_SPECIFICATION_NAME
    START_BYTE = 15
  END_OBJECT = COLUMN
END_OBJECT = TABLE

The returned section of the dictionary will look like this:

{'TABLE': {'OBJECT': 'TABLE',
            'VOLUME_ID': {'OBJECT': 'COLUMN',
                          'NAME': 'VOLUME_ID',
                          'START_BYTE': 1,
                          'END_OBJECT': 'COLUMN'},
            'FILE_SPECIFICATION_NAME': {'OBJECT': 'COLUMN',
                                        'NAME': 'FILE_SPECIFICATION_NAME',
                                        'START_BYTE': 15,
                                        'END_OBJECT': 'COLUMN'},
            'END_OBJECT': 'TABLE'},
}

Example 3

“Set” notation (using curly braces “{}”) was sometimes mis-used in PDS3 labels where “sequence” notation (using parentheses “()”) was meant. For example, this might appear in a label:

CUTOUT_WINDOW = {1, 1, 200, 800}

which is supposed to define the four boundaries of an image region. The user might be surprised to learn that in the dictionary, its value is the Python set {1, 200, 800}. To address this situation, for every set value, the dictionary also has a key with the same name but suffix _list, which contains the elements of the value as list in their original order and including duplicates. In this example, the dictionary contains:

'CUTOUT_WINDOW': {1, 200, 800},
'CUTOUT_WINDOW_list': [1, 1, 200, 800]

Options

The PdsLabel, constructor provides a variety of additional options for how to parse the label and present its content.

• You can provide the label to be parsed as a string containing the label’s content rather than as a path to a file.

• Use types=True to include the type of each keyword the file and interpret its content (e.g., “integer”, “based_integer”, “text”, “date_time”, or “file_offset_pointer”) in the dictionary using the keyword plus suffix _type.

• Use sources=True to include the source text as extracted from the PDS3 label in the dictionary using the keyword plus suffix _source.

• Use expand=True to insert the content of any referenced ^STRUCTURE keywords into the returned dictionary.

• Use vax=True to read attached labels from old-style Vax variable-length record files.

• Use the repairs option to correct any known syntax errors in the label prior to parsing using regular expressions.

Three methods of parsing the label are provided.

• method="strict" uses a strict implementation of the PDS3 syntax. It is sure to provide accurate results, but can be rather slow. This method can also be used to validate the syntax within a PDS3 label, because it will raise a SyntaxError if anything goes wrong.

• method="loose" uses a variant of the “strict” method, in which allowance is made for certain common syntax errors. Specifically,

  • It allows slashes in file names and in text strings that are not quoted (e.g., N/A).

  • It allows the value of END_OBJECT and END_GROUP to be absent, as long as they are still properly paired with associated OBJECT and GROUP keywords.

  • It allows time zone expressions (where were disallowed after the PDS2 standard).

• method="fast" is a different and much faster (often 30x faster) parser, which takes various “shortcuts” during the parsing. As a result, it may fail on occasions where the other methods succeed, and it may not return correct results in the cases of some oddly-formatted labels. However, it handles all the most common aspects of the PDS3 syntax correctly, and so may be a good choice when handling large numbers of labels.

Utilities

The pdsparser module provides several additional utilities for handling PDS3 labels.

• read_label: Reads a PDS3 label from a file. Supports attached labels within binary files.

• read_vax_binary_label: Reads the attached PDS3 label from an old-style Vax binary file that uses variable-length records.

• expand_structures: Replaces any ^STRUCTURE keywords in a label string with the content of the associated “.FMT” files.

Contributing

Information on contributing to this package can be found in the Contributing Guide.

Links

• Documentation

• Repository

• Issue tracker

• PyPi

Licensing

This code is licensed under the Apache License v2.0.

Contents:

• pdstemplate Module
  • Example 1
  • Example 2
  • Example 3
  • Options
  • Utilities
  • Pds3Label
  • PdsLabel
  • read_label()
  • read_vax_binary_label()
  • expand_structures()

Indices and tables

• Index

• Module Index

• Search Page