Movie-Match-Maker / core /models.py
DIVYANSHI SINGH
Initial commit full with LFS Tracking
661979e
Raw
History Blame Contribute Delete
1.31 kB
from typing import Optional, List, Dict
from pydantic import BaseModel
class TMDBMovieCard(BaseModel):
tmdb_id: int
title: str
poster_url: Optional[str] = None
release_date: Optional[str] = None
vote_average: Optional[float] = None
class TMDBMovieDetails(BaseModel):
tmdb_id: int
title: str
overview: Optional[str] = None
release_date: Optional[str] = None
poster_url: Optional[str] = None
backdrop_url: Optional[str] = None
trailer_youtube_id: Optional[str] = None
watch_providers: List[dict] = []
watch_link: str = ""
collection: Optional[dict] = None
reviews: List[dict] = []
genres: List[dict] = []
class TFIDFRecItem(BaseModel):
title: str
score: float
hybrid_score: float = 0.0
tmdb: Optional[TMDBMovieCard] = None
class SearchBundleResponse(BaseModel):
query: str
movie_details: TMDBMovieDetails
tfidf_recommendations: List[TFIDFRecItem]
genre_recommendations: List[TMDBMovieCard]
class ChatRequest(BaseModel):
message: str
history: List[dict] = []
class SummaryRequest(BaseModel):
title: str
overview: Optional[str] = ""
genres: List[str] = []
release_date: Optional[str] = ""
vote_average: Optional[float] = 0.0
class ConvSearchRequest(BaseModel):
query: str