fitsm 0.0.1

Raw FITS parser

fitsm

fitsm is a Python package for indexing FITS files into a SQLite database. It extracts metadata from FITS headers and organizes it for easy querying.

Installation

fitsm is available on PyPI. It is recommended to install it in a fresh Python virtual environment. You can use uv for fast and reproducible environment management, or use venv/pip as you prefer.

Using PyPI (recommended)

uv venv
source .venv/bin/activate
pip install fitsm

This will install the fitsm CLI and all dependencies.

Instrument YAML Configuration

The instrument configuration YAML file defines how FITS header keywords are mapped to database fields and how instrument names are recognized. This file is required for the index command and is specified using the -i or --instruments option in the CLI. The CLI uses this configuration to correctly interpret FITS headers for different instruments and to standardize the metadata stored in the database.

Example Structure

default:
    instrument_names:
        default: ["default",]
    definition:
        keyword_instrument: "TELESCOP"
        keyword_object: "OBJECT"
        keyword_image_type: "IMAGETYP"
        keyword_light_images: "light"
        keyword_dark_images: "dark"
        keyword_flat_images: "flat"
        keyword_bias_images: "bias"
        keyword_observation_date: "DATE-OBS"
        keyword_exposure_time: "EXPTIME"
        keyword_filter: "FILTER"
        keyword_ra: "RA"
        keyword_dec: "DEC"
        keyword_jd: "JD"
        unit_ra : "deg"
        unit_dec : "deg"
        scale_jd : "utc"

speculoos:
    instrument_names:
        # these are all the possible names under the 'keyword_image_type' that
        # correspond to the Callisto instrument
        Callisto: ["speculoos-Callisto", "callisto"]
        Europa: ["speculoos-Europa",]
        Io: ["speculoos-Io",]
        Ganymede: ["speculoos-Ganymede",]
        Artemis: ["speculoos-Artemis", "artemis", "sno"]
    definition:
        keyword_light_images: "Light Frame"

Other:
    instrument_names:
        Trius-SX694: ["Trius-SX694",]
    definition:
        keyword_instrument: "INSTRUME"
        keyword_light_images: "Light_Frame"

Sections

• instrument_names: Maps instrument aliases to canonical names.
• definition: Maps FITS header keywords to logical fields used by the parser.

You can add more sections for different instruments as needed. The default section is used as a fallback.

CLI Usage

Index FITS Files

To index FITS files into a database, use:

fitsm index <folder> -i instruments.yaml [-o output.sqlite]

Arguments:

• <folder>: Path to the folder containing FITS files.
• -i, --instruments: Path to the instruments.yaml file defining instrument configurations.
• -o, --output: (Optional) Path to the output database file. Defaults to fits_data.db in the folder.

Show Observations

Show observations from the database (supports regex, case-insensitive):

fitsm observations db.sqlite [-i INSTRUMENT] [-d DATE] [-f FILTER] [-o OBJECT]

Show Files

Show files from the database (supports regex, case-insensitive):

fitsm files db.sqlite [-i INSTRUMENT] [-d DATE] [-f FILTER] [-o OBJECT]

Filtering Options (for show commands):

• -i, --instrument: (Optional, regex) Filter by instrument name.
• -d, --date: (Optional, regex) Filter by date (format: YYYY-MM-DD).
• -f, --filter: (Optional, regex) Filter by filter name.
• -o, --object: (Optional, regex) Filter by object name.

Custom SQL Query

Run a custom SQL query on the database:

fitsm query db.sqlite "SELECT * FROM observations WHERE instrument REGEXP 'europa|io'"

Example:

fitsm index /path/to/fits/files -i /path/to/instruments.yaml -o mydata.sqlite
fitsm observations mydata.sqlite -i Europa -d 2024-01-01
fitsm files mydata.sqlite -f R
fitsm observations mydata.sqlite -i 'europa|io'  # regex, case-insensitive
fitsm query mydata.sqlite "SELECT * FROM files WHERE object REGEXP 'mars|jupiter'"

All regex filters are case-insensitive.

Development

Requirements

• Python 3.11+
• Dependencies listed in pyproject.toml.

License

MIT License