scaffolded PySwiss microservice: Django 6.0 project at pyswiss/ (core/ settings, apps/charts/), GET /api/chart/ + GET /api/charts/ views, EphemerisSnapshot model + migration, populate_ephemeris management command, 41 ITs (integrated + unit, all green); separate .venv with pyswisseph 2.10.3.2

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

pyswiss/apps/charts/models.py

@@ -0,0 +1,36 @@
+from django.db import models
+
+
+class EphemerisSnapshot(models.Model):
+    """Pre-computed chart data for a single point in time.
+
+    Element counts are stored as denormalised columns for fast DB-level range
+    filtering.  Full planet/house data lives in chart_data (JSONField) for
+    response serialisation.
+    """
+
+    dt = models.DateTimeField(unique=True, db_index=True)
+
+    # Denormalised element counts — indexed for range queries
+    fire = models.PositiveSmallIntegerField()
+    water = models.PositiveSmallIntegerField()
+    earth = models.PositiveSmallIntegerField()
+    air = models.PositiveSmallIntegerField()
+    time_el = models.PositiveSmallIntegerField()
+    space_el = models.PositiveSmallIntegerField()
+
+    # Full chart payload
+    chart_data = models.JSONField()
+
+    class Meta:
+        ordering = ['dt']
+
+    def elements_dict(self):
+        return {
+            'Fire': self.fire,
+            'Water': self.water,
+            'Earth': self.earth,
+            'Air': self.air,
+            'Time': self.time_el,
+            'Space': self.space_el,
+        }