added validation, tawhiri request creation

api/serializers.py

@@ -1,7 +1,73 @@
 from rest_framework import serializers
 from .models import Prediction
+from datetime import datetime
+from .validators import (
+    validate_custom_curve, rate_clip,
+    _rfc3339_to_timestamp, base64_to_curve
+)
 
 class PredictionSerializer(serializers.ModelSerializer):
     class Meta:
         model = Prediction
         fields = ['id', 'created_at', 'updated_at', 'result']
+
+
+
+PROFILE_STANDARD = "standard_profile"
+PROFILE_FLOAT = "float"
+PROFILE_REVERSE = "reverse"
+PROFILE_CUSTOM = "custom"
+LATEST_DATASET_KEYWORD = "latest"
+SUPPORTED_PROFILES = [PROFILE_STANDARD, PROFILE_FLOAT, PROFILE_REVERSE, PROFILE_CUSTOM]
+
+
+class PredictionRequestSerializer(serializers.Serializer):
+    launch_latitude = serializers.FloatField(min_value=-90, max_value=90)
+    launch_longitude = serializers.FloatField(min_value=0, max_value=360)
+    launch_datetime = serializers.DateTimeField()
+    launch_altitude = serializers.FloatField(required=False)
+    format = serializers.CharField(default="json")
+    profile = serializers.ChoiceField(choices=SUPPORTED_PROFILES, default=PROFILE_STANDARD)
+    dataset = serializers.CharField(default=LATEST_DATASET_KEYWORD)
+
+    # --- профиль-dependent поля ---
+    ascent_rate = serializers.FloatField(required=False, min_value=0.01)
+    descent_rate = serializers.FloatField(required=False, min_value=0.01)
+    burst_altitude = serializers.FloatField(required=False)
+    float_altitude = serializers.FloatField(required=False)
+    stop_datetime = serializers.DateTimeField(required=False)
+    ascent_curve = serializers.CharField(required=False)
+    descent_curve = serializers.CharField(required=False)
+    interpolate = serializers.BooleanField(required=False, default=False)
+
+    def validate(self, data):
+        profile = data.get("profile", PROFILE_STANDARD)
+        launch_alt = data.get("launch_altitude", 0)
+
+        if profile == PROFILE_STANDARD:
+            if 'burst_altitude' not in data:
+                raise serializers.ValidationError("burst_altitude is required for standard profile.")
+            if data['burst_altitude'] <= launch_alt:
+                raise serializers.ValidationError("burst_altitude must be greater than launch_altitude.")
+        
+        elif profile == PROFILE_FLOAT:
+            if 'float_altitude' not in data or data['float_altitude'] <= launch_alt:
+                raise serializers.ValidationError("float_altitude must be greater than launch_altitude.")
+            if 'stop_datetime' not in data or data['stop_datetime'] <= data['launch_datetime']:
+                raise serializers.ValidationError("stop_datetime must be later than launch_datetime.")
+
+        elif profile == PROFILE_CUSTOM:
+            if 'ascent_curve' not in data or not validate_custom_curve(data['ascent_curve']):
+                raise serializers.ValidationError("Invalid ascent_curve.")
+            if 'descent_curve' not in data or not validate_custom_curve(data['descent_curve']):
+                raise serializers.ValidationError("Invalid descent_curve.")
+            if 'burst_altitude' not in data or data['burst_altitude'] <= launch_alt:
+                raise serializers.ValidationError("burst_altitude must be greater than launch_altitude.")
+
+        # кастомная логика clipping'а
+        if 'ascent_rate' in data:
+            data['ascent_rate'] = rate_clip(data['ascent_rate'])
+        if 'descent_rate' in data:
+            data['descent_rate'] = rate_clip(data['descent_rate'])
+
+        return data