feat: evolve MetaBloom into full product foundation

server/app/schemas.py

@@ -0,0 +1,64 @@
+from datetime import date, datetime
+from pydantic import BaseModel, ConfigDict, EmailStr, Field, model_validator
+from .models import EntryKind
+
+
+class Register(BaseModel):
+    email: EmailStr
+    password: str = Field(min_length=12, max_length=128)
+
+
+class Token(BaseModel):
+    access_token: str
+    token_type: str = "bearer"
+
+
+class ProfileIn(BaseModel):
+    display_name: str | None = Field(None, max_length=80)
+    birth_date: date | None = None
+    height_cm: float | None = Field(None, ge=80, le=250)
+    objective: str | None = Field(None, max_length=120)
+    health_context: str | None = Field(None, max_length=1000)
+    consent_health_data: bool = False
+
+
+class ProfileOut(ProfileIn):
+    user_id: str
+    updated_at: datetime
+    model_config = ConfigDict(from_attributes=True)
+
+
+RANGES = {
+    EntryKind.weight: (20, 500), EntryKind.glucose: (20, 600), EntryKind.water: (0, 15000),
+    EntryKind.activity: (0, 1440), EntryKind.sleep: (0, 24), EntryKind.mood: (1, 5),
+    EntryKind.meal: (0, 10000),
+}
+
+
+class EntryIn(BaseModel):
+    kind: EntryKind
+    value: float
+    unit: str = Field(min_length=1, max_length=24)
+    note: str | None = Field(None, max_length=500)
+    recorded_at: datetime | None = None
+
+    @model_validator(mode="after")
+    def sensible_range(self):
+        if self.kind == EntryKind.glucose:
+            glucose_ranges = {"mg/dL": (20, 600), "mmol/L": (1.1, 33.3)}
+            if self.unit not in glucose_ranges:
+                raise ValueError("glucose unit must be mg/dL or mmol/L")
+            low, high = glucose_ranges[self.unit]
+        else:
+            low, high = RANGES[self.kind]
+        if not low <= self.value <= high:
+            raise ValueError(f"value must be between {low} and {high} for {self.kind.value}")
+        return self
+
+
+class EntryOut(EntryIn):
+    id: str
+    user_id: str
+    recorded_at: datetime
+    created_at: datetime
+    model_config = ConfigDict(from_attributes=True)