This is a shallow clone of the full HSF codebase without any sensitive information.
The database is unpopulated and cannot be fully repopulated from the hsf_DR1 repo.
My intention is not for users to run the code and reproduce HSF results, but to provide a record of the logic used to create those results.
Time permitting, I may come back in the future to improve functionality such that the survey paper results can be reproduced exactly from just this and the hsf_DR1 repo.

Current scheme:

Apps:
targets (demographic information for each TNS target + custom targets, access to scripts)
data (fits file level objects. routines for subtraction, photometry)
fitting (various fitters)
galaxies (galaxy information, database scrapings)
lightcurves (all filters, routines for updating)
ot (read old MSBList, generate new ones)
pages (website utilities)

targets: record diagnostic info, observation history, etc.
Target
    TNS_name: primary key, last two digits of year + alphabetical code (e.g. SN 2023abc -> 23abc)
    tns_sn_z: Supernova redshift as reported on TNS (null ok)
    tns_host_gal: Name of host galaxy as reported on TNS (null ok)
    tns_host_gal_z: Redshift of host galaxy as reported on TNS (null ok)
    galaxy: Foreign key. Many-to-one relationship to allow siblings. See galaxies.models.Galaxy. (null ok)
    queue_status: One letter code for observation triggering purposes.
        ("c", "Candidate")
        ("q", "Queued")
        ("j", "Junk")
        ("d", "Done")
    status_reason: Text field explaining certain status codes if not obvious.
    galaxy_status: One letter code for galaxy availability.
        ("?", "Uninspected")
        ("c", "Clear host")
        ("m", "Multiple possible hosts")
        ("n", "No apparent galaxy")
    fit_status: One letter code for the quality of a given fit.
        I should probably deprecate this and move it to fitting.models.FitResults
    sub_status: One letter code for the quality of a subtraction.
        I should probably adjust this to apply to Rubin's code and not ISIS subtraction or rotational subtraction.
    sn_type: Foreign key to sn_type to allow for type hierarchy. See targets.models.TransientType
    ra: Right ascension in J2000.0 degrees. Equal to tns_ra if not overwritten.
    dec: Declination in J2000.0 degrees. Equal to tns_dec if not overwritten.
    tns_ra: Right ascension in degrees as reported on TNS.
    tns_dec: Declination in degrees as reported on TNS.
    detection_date: MJD of discovery date on TNS.
    discovering_group: Name of group to submit discovery report to TNS.
    other_detections: Dictionary with keys for other groups and values of internal name and MJD.
    classification_date: Date of spectroscopic classification, 0 if not available.
    classifying_group: Name of group to submit classification, blank if not available.
    other_classifications: Dictionary with keys for groups and values for MJD and classification.
    ATLAS_name: ATLAS internal name (null ok)
    ZTF_name: ZTF internal name (null ok)
    queue_date: MJD of first entry into queue
        Potentially redundant with some ot target_detail information. Might deprecate.
    airmass: Dictionary containing airmass information for observing purposes.
        Might deprecate since some observing logic is part of the ukirt_candidates.
    bandpasses_str: alphabetical string of bandpasses with observations
    current_values: Dictionary containing current magnitudes.
    peak_values: Dictionary containing peak magnitudes.
    tmax: MJD of maximum light in J
    manual_z: For overriding galaxy redshifts. Might deprecate.
    manual_z_err: for overriding galaxy redshift errors. Might deprecate
    comments: Misc. comments
TransientType

data: handles data products from UKIRT, SNIFS, Subaru
Observations
Image
ReferenceStar
ReferenceStarDetails
DetectedStar
CalspecSpectrum
UH88Spectrum
SubaruSpectrum
TemplateSpectrum

galaxy: record galaxies near coordinates. Status of galaxy identification. Redshift methodology, quality, sources.
Galaxy
NedEntry
SimbadEntry
PanstarrsEntry
GladeEntry

fitting: take lightcurve in, produce DM, EBVhost, etc. and uncertainties.
FitResults

lightcurves: take list of observations in, produce lightcurves with options to vary subtraction method and photometry method.
Lightcurve
AtlasDetection
ZTFDetection
AsassnDetection
UkirtDetection
ModelDetection

ot: updates observing info.
MSB
TargetDetails