mpc-designation 1.1.0

Convert between packed and unpacked MPC (Minor Planet Center) designations

MPC Designation Converter - Python Implementation

Python 3 library and CLI tool for converting between packed and unpacked MPC designations.

Quick Start

from mpc_designation import convert_simple

result = convert_simple('1995 XA')  # Returns 'J95X00A'
result = convert_simple('J95X00A')  # Returns '1995 XA'

Installation

From PyPi

pip install mpc-designation

From Source

cd python
pip install -e .

Or simply copy src/mpc_designation/ to your project.

CLI Usage

# Single conversion
python -m mpc_designation '1995 XA'
# Output: J95X00A

# Multiple designations
python -m mpc_designation 1 '1995 XA' 'C/1995 O1'
# Output:
# 1 -> 00001
# 1995 XA -> J95X00A
# C/1995 O1 -> CJ95O010

# Verbose mode
python -m mpc_designation -v '1995 XA'
# Output:
#   Input:    1995 XA
#   Detected: unpacked format, provisional
#   Action:   packing to MPC compact form
#   Output:   J95X00A

Or run directly:

python src/mpc_designation/mpc_designation.py '1995 XA'

Library Usage

Simple Conversion

from mpc_designation import convert_simple, MPCDesignationError

try:
    packed = convert_simple('1995 XA')  # Returns 'J95X00A'
    unpacked = convert_simple('J95X00A')  # Returns '1995 XA'
except MPCDesignationError as e:
    print(f"Error: {e}")

With Format Information

from mpc_designation import convert

result = convert('1995 XA')
print(result['input'])   # '1995 XA'
print(result['output'])  # 'J95X00A'
print(result['format'])  # 'unpacked'
print(result['subtype']) # 'provisional asteroid'

Format Detection

from mpc_designation import detect_format

info = detect_format('1995 XA')
print(info['format'])  # 'unpacked'
print(info['type'])    # 'provisional'

Batch Processing

from mpc_designation import convert_simple, MPCDesignationError

designations = ['1', '1995 XA', 'C/1995 O1']
for des in designations:
    try:
        result = convert_simple(des)
        print(f"{des} -> {result}")
    except MPCDesignationError as e:
        print(f"{des}: Error - {e}")

Parallel Batch Processing (Large Datasets)

For processing millions of designations, use the parallel batch functions:

from mpc_designation.batch import convert_batch, pack_batch, unpack_batch

# Convert millions of designations in parallel
results = convert_batch(designations, workers=4)

# Pack all to compact format
packed = pack_batch(designations, workers=4)

# Unpack all to human-readable format
unpacked = unpack_batch(packed_designations, workers=4)

# Handle errors gracefully (returns None for invalid designations)
results = pack_batch(designations, workers=4, ignore_errors=True)

Performance on 2M designations (8 workers): ~800K pack/sec, ~1.5M unpack/sec.

API Reference

Functions

convert_simple(designation: str) -> str

Convert a designation, returning just the result string.

• Parameters: designation - The MPC designation to convert
• Returns: The converted designation
• Raises: MPCDesignationError if the input is invalid

convert(designation: str) -> dict

Convert a designation, returning detailed information.

• Parameters: designation - The MPC designation to convert
• Returns: Dictionary with keys:
  • input: Original input
  • output: Converted designation
  • format: 'packed' or 'unpacked'
  • subtype: Human-readable description

detect_format(designation: str) -> dict

Detect the format of a designation without converting.

• Parameters: designation - The MPC designation to analyze
• Returns: Dictionary with format information

to_report_format(minimal: str) -> str

Convert minimal packed format to 12-character MPC report format.

• Parameters: minimal - Minimal packed designation (e.g., '0073Pa')
• Returns: 12-character report format (e.g., '0073P a')

from_report_format(report: str) -> str

Convert 12-character MPC report format to minimal packed format.

• Parameters: report - 12-character report format
• Returns: Minimal packed designation

has_fragment(desig: str) -> bool

Check if a designation has a comet fragment suffix.

• Parameters: desig - Designation to check (packed or unpacked)
• Returns: True if has fragment, False if not

get_fragment(desig: str) -> str

Extract the fragment suffix from a comet designation.

• Parameters: desig - Designation (packed or unpacked)
• Returns: Fragment in uppercase (e.g., 'A', 'AA'), or empty string

get_parent(desig: str) -> str

Get the parent comet designation without fragment suffix.

• Parameters: desig - Designation (packed or unpacked)
• Returns: Parent designation in same format as input

designations_equal(desig1: str, desig2: str) -> bool

Check if two designations refer to the same object.

• Parameters: desig1, desig2 - Designations to compare
• Returns: True if same object, False if different

Exceptions

MPCDesignationError

Raised when a designation cannot be converted.

from mpc_designation import MPCDesignationError

try:
    convert_simple('invalid')
except MPCDesignationError as e:
    print(f"Invalid designation: {e}")

Comet Fragment Handling

The library supports comet fragment designations:

Numbered Comets with Fragments

Numbered comets (like 73P) can have fragments:

convert_simple('73P-A')    # Returns '0073Pa'
convert_simple('73P-AA')   # Returns '0073Paa'
convert_simple('0073Pa')   # Returns '73P-A'
convert_simple('0073Paa')  # Returns '73P-AA'

Provisional Comets with Fragments

Provisional comets can also have fragments:

convert_simple('P/1930 J1-A')   # Returns 'PJ30J01a'
convert_simple('P/1930 J1-AA')  # Returns 'PJ30J01aa'
convert_simple('PJ30J01aa')     # Returns 'P/1930 J1-AA'

Fragment letters include all A-Z (including I, per MPC data).

Helper Functions

Format Conversion (Minimal ↔ 12-Character Report Format)

Convert between minimal packed format and the 12-character MPC observation report format:

from mpc_designation import to_report_format, from_report_format

# Minimal to 12-char report format
report = to_report_format('0073Pa')   # '0073P      a'

# 12-char report format to minimal
minimal = from_report_format('0073P      a')  # '0073Pa'

Fragment Extraction

from mpc_designation import has_fragment, get_fragment, get_parent

# Check if designation has a fragment
if has_fragment('73P-A'):  # Returns True
    # Extract fragment (uppercase)
    frag = get_fragment('73P-A')   # 'A'
    frag = get_fragment('73P-AA')  # 'AA'

    # Get parent comet
    parent = get_parent('73P-A')   # '73P'
    parent = get_parent('0073Pa')  # '0073P'

Designation Comparison

Compare designations across different formats:

from mpc_designation import designations_equal

# Same object, different formats
designations_equal('1995 XA', 'J95X00A')  # Returns True
designations_equal('73P-A', '0073Pa')     # Returns True

# Different objects
designations_equal('73P-A', '73P-B')      # Returns False

Pre-1925 Designations

For years before 1925, the library outputs A-prefix format per MPC convention:

convert_simple('I01A00A')  # Returns 'A801 AA' (not '1801 AA')
convert_simple('J08C00J')  # Returns 'A908 CJ' (not '1908 CJ')
convert_simple('A908 CJ')  # Returns 'J08C00J'

The A-prefix format is the MPC-assigned primary designation for pre-1925 objects.

Century Code Validation

The library validates century codes:

• Asteroids: Only I-L (years 1800-2199)
• Comets: A-L (years 1000-2199, including historical comets)

convert_simple('1800 AA')    # Valid - minimum asteroid year
convert_simple('C/1014 C1')  # Valid - historical comet from 1014 CE
convert_simple('1700 AA')    # Error - year before 1800 for asteroids

Testing

# Run error handling tests (94 test cases)
python test/test_errors.py ../test-data/error_test_cases.csv

# Run fragment handling tests
python test/test_fragments.py

# Run helper function tests (77 test cases)
python test/test_helpers.py

# Run conversion tests (requires decompressing test data first)
gunzip -k ../test-data/prov_unpack_to_pack.csv.gz
python test/test_csv.py ../test-data/prov_unpack_to_pack.csv

# Run roundtrip tests (verifies pack(unpack(x)) == x and unpack(pack(x)) == x)
python test/test_roundtrip.py ../test-data/prov_unpack_to_pack.csv

Examples

See examples/example_usage.py for more detailed usage examples.

Requirements

• Python 3.9+
• No external dependencies