Add ez-assistant and kerberos service folders

docker-compose/ez-assistant/skills/local-places/src/local_places/schemas.py

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+from __future__ import annotations
+
+from pydantic import BaseModel, Field, field_validator
+
+
+class LatLng(BaseModel):
+    lat: float = Field(ge=-90, le=90)
+    lng: float = Field(ge=-180, le=180)
+
+
+class LocationBias(BaseModel):
+    lat: float = Field(ge=-90, le=90)
+    lng: float = Field(ge=-180, le=180)
+    radius_m: float = Field(gt=0)
+
+
+class Filters(BaseModel):
+    types: list[str] | None = None
+    open_now: bool | None = None
+    min_rating: float | None = Field(default=None, ge=0, le=5)
+    price_levels: list[int] | None = None
+    keyword: str | None = Field(default=None, min_length=1)
+
+    @field_validator("types")
+    @classmethod
+    def validate_types(cls, value: list[str] | None) -> list[str] | None:
+        if value is None:
+            return value
+        if len(value) > 1:
+            raise ValueError(
+                "Only one type is supported. Use query/keyword for additional filtering."
+            )
+        return value
+
+    @field_validator("price_levels")
+    @classmethod
+    def validate_price_levels(cls, value: list[int] | None) -> list[int] | None:
+        if value is None:
+            return value
+        invalid = [level for level in value if level not in range(0, 5)]
+        if invalid:
+            raise ValueError("price_levels must be integers between 0 and 4.")
+        return value
+
+    @field_validator("min_rating")
+    @classmethod
+    def validate_min_rating(cls, value: float | None) -> float | None:
+        if value is None:
+            return value
+        if (value * 2) % 1 != 0:
+            raise ValueError("min_rating must be in 0.5 increments.")
+        return value
+
+
+class SearchRequest(BaseModel):
+    query: str = Field(min_length=1)
+    location_bias: LocationBias | None = None
+    filters: Filters | None = None
+    limit: int = Field(default=10, ge=1, le=20)
+    page_token: str | None = None
+
+
+class PlaceSummary(BaseModel):
+    place_id: str
+    name: str | None = None
+    address: str | None = None
+    location: LatLng | None = None
+    rating: float | None = None
+    price_level: int | None = None
+    types: list[str] | None = None
+    open_now: bool | None = None
+
+
+class SearchResponse(BaseModel):
+    results: list[PlaceSummary]
+    next_page_token: str | None = None
+
+
+class LocationResolveRequest(BaseModel):
+    location_text: str = Field(min_length=1)
+    limit: int = Field(default=5, ge=1, le=10)
+
+
+class ResolvedLocation(BaseModel):
+    place_id: str
+    name: str | None = None
+    address: str | None = None
+    location: LatLng | None = None
+    types: list[str] | None = None
+
+
+class LocationResolveResponse(BaseModel):
+    results: list[ResolvedLocation]
+
+
+class PlaceDetails(BaseModel):
+    place_id: str
+    name: str | None = None
+    address: str | None = None
+    location: LatLng | None = None
+    rating: float | None = None
+    price_level: int | None = None
+    types: list[str] | None = None
+    phone: str | None = None
+    website: str | None = None
+    hours: list[str] | None = None
+    open_now: bool | None = None