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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
from django.db import models
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class EphemerisSnapshot(models.Model):
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"""Pre-computed chart data for a single point in time.
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Element counts are stored as denormalised columns for fast DB-level range
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filtering. Full planet/house data lives in chart_data (JSONField) for
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response serialisation.
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"""
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dt = models.DateTimeField(unique=True, db_index=True)
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# Denormalised element counts — indexed for range queries
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fire = models.PositiveSmallIntegerField()
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water = models.PositiveSmallIntegerField()
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earth = models.PositiveSmallIntegerField()
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air = models.PositiveSmallIntegerField()
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time_el = models.PositiveSmallIntegerField()
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space_el = models.PositiveSmallIntegerField()
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# Full chart payload
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chart_data = models.JSONField()
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class Meta:
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ordering = ['dt']
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def elements_dict(self):
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return {
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'Fire': self.fire,
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'Water': self.water,
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'Earth': self.earth,
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'Air': self.air,
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'Time': self.time_el,
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'Space': self.space_el,
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}
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