From 36bec10bd035eb0111c30a4b17703d0804f85d99 Mon Sep 17 00:00:00 2001 From: joungmin Date: Fri, 6 Mar 2026 13:47:19 +0900 Subject: [PATCH] Initial commit: Tasteby - YouTube restaurant map service Backend (FastAPI + Oracle ADB), Frontend (Next.js), daemon worker. Features: channel/video/restaurant management, semantic search, Google OAuth, user reviews. Co-Authored-By: Claude Opus 4.6 --- .gitignore | 8 + backend/.env.example | 19 + backend/api/__init__.py | 0 backend/api/deps.py | 32 + backend/api/main.py | 32 + backend/api/routes/__init__.py | 0 backend/api/routes/auth.py | 40 + backend/api/routes/channels.py | 46 + backend/api/routes/restaurants.py | 33 + backend/api/routes/reviews.py | 97 + backend/api/routes/search.py | 66 + backend/api/routes/videos.py | 52 + backend/core/__init__.py | 0 backend/core/auth.py | 122 + backend/core/db.py | 44 + backend/core/extractor.py | 128 + backend/core/geocoding.py | 97 + backend/core/pipeline.py | 134 + backend/core/restaurant.py | 205 + backend/core/review.py | 189 + backend/core/vector.py | 97 + backend/core/youtube.py | 221 + backend/daemon/__init__.py | 0 backend/daemon/worker.py | 37 + backend/requirements.txt | 10 + backend/run_api.py | 9 + backend/run_daemon.py | 18 + backend/sql/schema.sql | 127 + ecosystem.config.js | 28 + frontend/.gitignore | 41 + frontend/README.md | 36 + frontend/eslint.config.mjs | 18 + frontend/next.config.ts | 7 + frontend/package-lock.json | 6635 ++++++++++++++++++ frontend/package.json | 28 + frontend/postcss.config.mjs | 7 + frontend/public/file.svg | 1 + frontend/public/globe.svg | 1 + frontend/public/next.svg | 1 + frontend/public/vercel.svg | 1 + frontend/public/window.svg | 1 + frontend/src/app/favicon.ico | Bin 0 -> 25931 bytes frontend/src/app/globals.css | 22 + frontend/src/app/layout.tsx | 28 + frontend/src/app/page.tsx | 140 + frontend/src/app/providers.tsx | 15 + frontend/src/components/MapView.tsx | 75 + frontend/src/components/RestaurantDetail.tsx | 113 + frontend/src/components/RestaurantList.tsx | 44 + frontend/src/components/ReviewSection.tsx | 304 + frontend/src/components/SearchBar.tsx | 48 + frontend/src/lib/api.ts | 161 + frontend/src/lib/auth-context.tsx | 75 + frontend/tsconfig.json | 34 + 54 files changed, 9727 insertions(+) create mode 100644 .gitignore create mode 100644 backend/.env.example create mode 100644 backend/api/__init__.py create mode 100644 backend/api/deps.py create mode 100644 backend/api/main.py create mode 100644 backend/api/routes/__init__.py create mode 100644 backend/api/routes/auth.py create mode 100644 backend/api/routes/channels.py create mode 100644 backend/api/routes/restaurants.py create mode 100644 backend/api/routes/reviews.py create mode 100644 backend/api/routes/search.py create mode 100644 backend/api/routes/videos.py create mode 100644 backend/core/__init__.py create mode 100644 backend/core/auth.py create mode 100644 backend/core/db.py create mode 100644 backend/core/extractor.py create mode 100644 backend/core/geocoding.py create mode 100644 backend/core/pipeline.py create mode 100644 backend/core/restaurant.py create mode 100644 backend/core/review.py create mode 100644 backend/core/vector.py create mode 100644 backend/core/youtube.py create mode 100644 backend/daemon/__init__.py create mode 100644 backend/daemon/worker.py create mode 100644 backend/requirements.txt create mode 100644 backend/run_api.py create mode 100644 backend/run_daemon.py create mode 100644 backend/sql/schema.sql create mode 100644 ecosystem.config.js create mode 100644 frontend/.gitignore create mode 100644 frontend/README.md create mode 100644 frontend/eslint.config.mjs create mode 100644 frontend/next.config.ts create mode 100644 frontend/package-lock.json create mode 100644 frontend/package.json create mode 100644 frontend/postcss.config.mjs create mode 100644 frontend/public/file.svg create mode 100644 frontend/public/globe.svg create mode 100644 frontend/public/next.svg create mode 100644 frontend/public/vercel.svg create mode 100644 frontend/public/window.svg create mode 100644 frontend/src/app/favicon.ico create mode 100644 frontend/src/app/globals.css create mode 100644 frontend/src/app/layout.tsx create mode 100644 frontend/src/app/page.tsx create mode 100644 frontend/src/app/providers.tsx create mode 100644 frontend/src/components/MapView.tsx create mode 100644 frontend/src/components/RestaurantDetail.tsx create mode 100644 frontend/src/components/RestaurantList.tsx create mode 100644 frontend/src/components/ReviewSection.tsx create mode 100644 frontend/src/components/SearchBar.tsx create mode 100644 frontend/src/lib/api.ts create mode 100644 frontend/src/lib/auth-context.tsx create mode 100644 frontend/tsconfig.json diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5154d87 --- /dev/null +++ b/.gitignore @@ -0,0 +1,8 @@ +__pycache__/ +*.pyc +.venv/ +.env +node_modules/ +.next/ +.env.local +*.log diff --git a/backend/.env.example b/backend/.env.example new file mode 100644 index 0000000..3912829 --- /dev/null +++ b/backend/.env.example @@ -0,0 +1,19 @@ +# Oracle ADB +ORACLE_USER=admin +ORACLE_PASSWORD= +ORACLE_DSN= +ORACLE_WALLET= + +# OCI GenAI +OCI_COMPARTMENT_ID= +OCI_GENAI_ENDPOINT=https://inference.generativeai.us-chicago-1.oci.oraclecloud.com +OCI_EMBED_MODEL_ID=cohere.embed-v4.0 +OCI_CHAT_ENDPOINT=https://inference.generativeai.us-ashburn-1.oci.oraclecloud.com +OCI_CHAT_MODEL_ID= + +# Google +GOOGLE_MAPS_API_KEY= +YOUTUBE_DATA_API_KEY= + +# Daemon +DAEMON_INTERVAL=3600 diff --git a/backend/api/__init__.py b/backend/api/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/api/deps.py b/backend/api/deps.py new file mode 100644 index 0000000..2e144a3 --- /dev/null +++ b/backend/api/deps.py @@ -0,0 +1,32 @@ +"""FastAPI dependencies for authentication.""" + +from __future__ import annotations + +from fastapi import Header, HTTPException + +from core.auth import verify_jwt + + +def get_current_user(authorization: str = Header(None)) -> dict: + """Extract and verify Bearer token, return user payload. + + Raises 401 if token is missing or invalid. + """ + if not authorization or not authorization.startswith("Bearer "): + raise HTTPException(401, "Missing or invalid Authorization header") + token = authorization.removeprefix("Bearer ").strip() + try: + return verify_jwt(token) + except Exception: + raise HTTPException(401, "Invalid or expired token") + + +def get_optional_user(authorization: str = Header(None)) -> dict | None: + """Same as get_current_user but returns None if no token.""" + if not authorization or not authorization.startswith("Bearer "): + return None + token = authorization.removeprefix("Bearer ").strip() + try: + return verify_jwt(token) + except Exception: + return None diff --git a/backend/api/main.py b/backend/api/main.py new file mode 100644 index 0000000..368e567 --- /dev/null +++ b/backend/api/main.py @@ -0,0 +1,32 @@ +"""FastAPI application entry point.""" + +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware + +from api.routes import restaurants, channels, videos, search, auth, reviews + +app = FastAPI( + title="Tasteby API", + description="YouTube restaurant map service API", + version="0.1.0", +) + +app.add_middleware( + CORSMiddleware, + allow_origins=["http://localhost:3000", "http://localhost:3001"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +app.include_router(restaurants.router, prefix="/api/restaurants", tags=["restaurants"]) +app.include_router(channels.router, prefix="/api/channels", tags=["channels"]) +app.include_router(videos.router, prefix="/api/videos", tags=["videos"]) +app.include_router(search.router, prefix="/api/search", tags=["search"]) +app.include_router(auth.router, prefix="/api/auth", tags=["auth"]) +app.include_router(reviews.router, prefix="/api", tags=["reviews"]) + + +@app.get("/api/health") +def health(): + return {"status": "ok"} diff --git a/backend/api/routes/__init__.py b/backend/api/routes/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/api/routes/auth.py b/backend/api/routes/auth.py new file mode 100644 index 0000000..72337ae --- /dev/null +++ b/backend/api/routes/auth.py @@ -0,0 +1,40 @@ +"""Auth API routes — Google SSO login and user info.""" + +from __future__ import annotations + +from fastapi import APIRouter, Depends, HTTPException +from pydantic import BaseModel + +from core.auth import verify_google_token, find_or_create_user, create_jwt +from api.deps import get_current_user + +router = APIRouter() + + +class GoogleLoginRequest(BaseModel): + id_token: str + + +@router.post("/google") +def login_google(body: GoogleLoginRequest): + """Verify Google ID token and return JWT + user info.""" + try: + google_info = verify_google_token(body.id_token) + except ValueError as e: + raise HTTPException(401, f"Invalid Google token: {e}") + + user = find_or_create_user( + provider="google", + provider_id=google_info["sub"], + email=google_info.get("email"), + nickname=google_info.get("name"), + avatar_url=google_info.get("picture"), + ) + access_token = create_jwt(user) + return {"access_token": access_token, "user": user} + + +@router.get("/me") +def get_me(current_user: dict = Depends(get_current_user)): + """Return current authenticated user info.""" + return current_user diff --git a/backend/api/routes/channels.py b/backend/api/routes/channels.py new file mode 100644 index 0000000..507d595 --- /dev/null +++ b/backend/api/routes/channels.py @@ -0,0 +1,46 @@ +"""Channel API routes.""" + +from fastapi import APIRouter, HTTPException +from pydantic import BaseModel + +from core import youtube + +router = APIRouter() + + +class ChannelCreate(BaseModel): + channel_id: str + channel_name: str + + +@router.get("") +def list_channels(): + return youtube.get_active_channels() + + +@router.post("", status_code=201) +def create_channel(body: ChannelCreate): + try: + row_id = youtube.add_channel(body.channel_id, body.channel_name) + return {"id": row_id, "channel_id": body.channel_id} + except Exception as e: + if "UQ_CHANNELS_CID" in str(e).upper(): + raise HTTPException(409, "Channel already exists") + raise + + +@router.post("/{channel_id}/scan") +def scan_channel(channel_id: str): + """Trigger a scan for new videos from this channel.""" + channels = youtube.get_active_channels() + ch = next((c for c in channels if c["channel_id"] == channel_id), None) + if not ch: + raise HTTPException(404, "Channel not found") + + videos = youtube.fetch_channel_videos(channel_id, max_results=50) + new_count = 0 + for v in videos: + row_id = youtube.save_video(ch["id"], v) + if row_id: + new_count += 1 + return {"total_fetched": len(videos), "new_videos": new_count} diff --git a/backend/api/routes/restaurants.py b/backend/api/routes/restaurants.py new file mode 100644 index 0000000..f65fd1b --- /dev/null +++ b/backend/api/routes/restaurants.py @@ -0,0 +1,33 @@ +"""Restaurant API routes.""" + +from fastapi import APIRouter, HTTPException, Query + +from core import restaurant + +router = APIRouter() + + +@router.get("") +def list_restaurants( + limit: int = Query(100, le=500), + offset: int = Query(0, ge=0), + cuisine: str | None = None, + region: str | None = None, +): + return restaurant.get_all(limit=limit, offset=offset, cuisine=cuisine, region=region) + + +@router.get("/{restaurant_id}") +def get_restaurant(restaurant_id: str): + r = restaurant.get_by_id(restaurant_id) + if not r: + raise HTTPException(404, "Restaurant not found") + return r + + +@router.get("/{restaurant_id}/videos") +def get_restaurant_videos(restaurant_id: str): + r = restaurant.get_by_id(restaurant_id) + if not r: + raise HTTPException(404, "Restaurant not found") + return restaurant.get_video_links(restaurant_id) diff --git a/backend/api/routes/reviews.py b/backend/api/routes/reviews.py new file mode 100644 index 0000000..e96d743 --- /dev/null +++ b/backend/api/routes/reviews.py @@ -0,0 +1,97 @@ +"""Review API routes.""" + +from __future__ import annotations + +from datetime import date +from typing import Optional + +from fastapi import APIRouter, Depends, HTTPException, Query +from pydantic import BaseModel, Field + +from core import review +from api.deps import get_current_user + +router = APIRouter() + + +class ReviewCreate(BaseModel): + rating: float = Field(..., ge=0.5, le=5.0) + review_text: Optional[str] = None + visited_at: Optional[date] = None + + +class ReviewUpdate(BaseModel): + rating: Optional[float] = Field(None, ge=0.5, le=5.0) + review_text: Optional[str] = None + visited_at: Optional[date] = None + + +# --- Restaurant reviews --- + +@router.get("/restaurants/{restaurant_id}/reviews") +def list_restaurant_reviews( + restaurant_id: str, + limit: int = Query(20, le=100), + offset: int = Query(0, ge=0), +): + """List reviews for a restaurant (public).""" + reviews = review.get_reviews_for_restaurant(restaurant_id, limit=limit, offset=offset) + stats = review.get_restaurant_avg_rating(restaurant_id) + return {"reviews": reviews, **stats} + + +@router.post("/restaurants/{restaurant_id}/reviews", status_code=201) +def create_restaurant_review( + restaurant_id: str, + body: ReviewCreate, + current_user: dict = Depends(get_current_user), +): + """Create a review for a restaurant (requires auth).""" + created = review.create_review( + user_id=current_user["sub"], + restaurant_id=restaurant_id, + rating=body.rating, + review_text=body.review_text, + visited_at=body.visited_at, + ) + return created + + +@router.put("/reviews/{review_id}") +def update_review_route( + review_id: str, + body: ReviewUpdate, + current_user: dict = Depends(get_current_user), +): + """Update a review (own review only).""" + updated = review.update_review( + review_id=review_id, + user_id=current_user["sub"], + rating=body.rating, + review_text=body.review_text, + visited_at=body.visited_at, + ) + if not updated: + raise HTTPException(404, "Review not found or not yours") + return updated + + +@router.delete("/reviews/{review_id}", status_code=204) +def delete_review_route( + review_id: str, + current_user: dict = Depends(get_current_user), +): + """Delete a review (own review only).""" + deleted = review.delete_review(review_id, current_user["sub"]) + if not deleted: + raise HTTPException(404, "Review not found or not yours") + + +@router.get("/users/me/reviews") +def list_my_reviews( + limit: int = Query(20, le=100), + offset: int = Query(0, ge=0), + current_user: dict = Depends(get_current_user), +): + """List current user's reviews.""" + return review.get_user_reviews(current_user["sub"], limit=limit, offset=offset) diff --git a/backend/api/routes/search.py b/backend/api/routes/search.py new file mode 100644 index 0000000..bba36d1 --- /dev/null +++ b/backend/api/routes/search.py @@ -0,0 +1,66 @@ +"""Search API routes — keyword + semantic search.""" + +from fastapi import APIRouter, Query + +from core import restaurant, vector +from core.db import conn + +router = APIRouter() + + +@router.get("") +def search_restaurants( + q: str = Query(..., min_length=1), + mode: str = Query("keyword", pattern="^(keyword|semantic|hybrid)$"), + limit: int = Query(20, le=100), +): + """Search restaurants by keyword, semantic similarity, or hybrid.""" + if mode == "semantic": + return _semantic_search(q, limit) + elif mode == "hybrid": + kw = _keyword_search(q, limit) + sem = _semantic_search(q, limit) + # merge: keyword results first, then semantic results not already in keyword + seen = {r["id"] for r in kw} + merged = list(kw) + for r in sem: + if r["id"] not in seen: + merged.append(r) + seen.add(r["id"]) + return merged[:limit] + else: + return _keyword_search(q, limit) + + +def _keyword_search(q: str, limit: int) -> list[dict]: + sql = """ + SELECT id, name, address, region, latitude, longitude, + cuisine_type, price_range + FROM restaurants + WHERE latitude IS NOT NULL + AND (UPPER(name) LIKE UPPER(:q) + OR UPPER(address) LIKE UPPER(:q) + OR UPPER(region) LIKE UPPER(:q) + OR UPPER(cuisine_type) LIKE UPPER(:q)) + FETCH FIRST :lim ROWS ONLY + """ + pattern = f"%{q}%" + with conn() as c: + cur = c.cursor() + cur.execute(sql, {"q": pattern, "lim": limit}) + cols = [d[0].lower() for d in cur.description] + return [dict(zip(cols, row)) for row in cur.fetchall()] + + +def _semantic_search(q: str, limit: int) -> list[dict]: + similar = vector.search_similar(q, top_k=limit) + if not similar: + return [] + + rest_ids = list({s["restaurant_id"] for s in similar}) + results = [] + for rid in rest_ids[:limit]: + r = restaurant.get_by_id(rid) + if r and r.get("latitude"): + results.append(r) + return results diff --git a/backend/api/routes/videos.py b/backend/api/routes/videos.py new file mode 100644 index 0000000..f4eaba5 --- /dev/null +++ b/backend/api/routes/videos.py @@ -0,0 +1,52 @@ +"""Video API routes.""" + +from fastapi import APIRouter, Query + +from core.db import conn +from core.pipeline import process_pending + +router = APIRouter() + + +@router.get("") +def list_videos( + status: str | None = None, + limit: int = Query(50, le=200), + offset: int = Query(0, ge=0), +): + conditions = [] + params: dict = {"lim": limit, "off": offset} + if status: + conditions.append("v.status = :st") + params["st"] = status + + where = ("WHERE " + " AND ".join(conditions)) if conditions else "" + sql = f""" + SELECT v.id, v.video_id, v.title, v.url, v.status, + v.published_at, c.channel_name + FROM videos v + JOIN channels c ON c.id = v.channel_id + {where} + ORDER BY v.published_at DESC NULLS LAST + OFFSET :off ROWS FETCH NEXT :lim ROWS ONLY + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, params) + cols = [d[0].lower() for d in cur.description] + rows = cur.fetchall() + + results = [] + for row in rows: + d = dict(zip(cols, row)) + if d.get("published_at"): + d["published_at"] = d["published_at"].isoformat() + results.append(d) + return results + + +@router.post("/process") +def trigger_processing(limit: int = Query(5, le=20)): + """Manually trigger processing of pending videos.""" + count = process_pending(limit) + return {"restaurants_extracted": count} diff --git a/backend/core/__init__.py b/backend/core/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/core/auth.py b/backend/core/auth.py new file mode 100644 index 0000000..6ecc0a6 --- /dev/null +++ b/backend/core/auth.py @@ -0,0 +1,122 @@ +"""Authentication helpers — Google OAuth2 + JWT.""" + +from __future__ import annotations + +import os +from datetime import datetime, timedelta, timezone + +import jwt +import oracledb +from google.oauth2 import id_token as google_id_token +from google.auth.transport import requests as google_requests + +from core.db import conn + +JWT_SECRET = os.environ.get("JWT_SECRET", "tasteby-dev-secret-change-me") +JWT_ALGORITHM = "HS256" +JWT_EXPIRE_DAYS = 7 + + +def verify_google_token(token: str) -> dict: + """Verify a Google ID token and return user info. + + Returns dict with keys: sub, email, name, picture. + Raises ValueError on invalid token. + """ + info = google_id_token.verify_oauth2_token( + token, google_requests.Request(), + ) + return { + "sub": info["sub"], + "email": info.get("email"), + "name": info.get("name"), + "picture": info.get("picture"), + } + + +def find_or_create_user( + provider: str, + provider_id: str, + email: str | None = None, + nickname: str | None = None, + avatar_url: str | None = None, +) -> dict: + """Find existing user or create new one. Returns user dict.""" + # Try to find existing user + sql_find = """ + SELECT id, provider, provider_id, email, nickname, avatar_url, created_at, last_login_at + FROM tasteby_users + WHERE provider = :provider AND provider_id = :provider_id + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql_find, {"provider": provider, "provider_id": provider_id}) + row = cur.fetchone() + + if row: + # Update last_login and optional fields + sql_update = """ + UPDATE tasteby_users + SET last_login_at = SYSTIMESTAMP, + email = COALESCE(:email, email), + nickname = COALESCE(:nickname, nickname), + avatar_url = COALESCE(:avatar_url, avatar_url) + WHERE id = :id + """ + cur.execute(sql_update, { + "email": email, "nickname": nickname, + "avatar_url": avatar_url, "id": row[0], + }) + return { + "id": row[0], + "provider": row[1], + "provider_id": row[2], + "email": email or row[3], + "nickname": nickname or row[4], + "avatar_url": avatar_url or row[5], + } + + # Create new user + sql_insert = """ + INSERT INTO tasteby_users (provider, provider_id, email, nickname, avatar_url, last_login_at) + VALUES (:provider, :provider_id, :email, :nickname, :avatar_url, SYSTIMESTAMP) + RETURNING id INTO :out_id + """ + out_id = cur.var(oracledb.STRING) + cur.execute(sql_insert, { + "provider": provider, + "provider_id": provider_id, + "email": email, + "nickname": nickname, + "avatar_url": avatar_url, + "out_id": out_id, + }) + new_id = out_id.getvalue()[0] + return { + "id": new_id, + "provider": provider, + "provider_id": provider_id, + "email": email, + "nickname": nickname, + "avatar_url": avatar_url, + } + + +def create_jwt(user: dict) -> str: + """Create a JWT access token for the given user.""" + payload = { + "sub": user["id"], + "email": user.get("email"), + "nickname": user.get("nickname"), + "exp": datetime.now(timezone.utc) + timedelta(days=JWT_EXPIRE_DAYS), + "iat": datetime.now(timezone.utc), + } + return jwt.encode(payload, JWT_SECRET, algorithm=JWT_ALGORITHM) + + +def verify_jwt(token: str) -> dict: + """Verify a JWT and return the payload. + + Raises jwt.InvalidTokenError on failure. + """ + return jwt.decode(token, JWT_SECRET, algorithms=[JWT_ALGORITHM]) diff --git a/backend/core/db.py b/backend/core/db.py new file mode 100644 index 0000000..e57cb07 --- /dev/null +++ b/backend/core/db.py @@ -0,0 +1,44 @@ +"""Oracle ADB connection pool — shared across all modules.""" + +from __future__ import annotations + +import os +from contextlib import contextmanager +from typing import Generator, Optional + +import oracledb + +_pool: Optional[oracledb.ConnectionPool] = None + + +def _get_pool() -> oracledb.ConnectionPool: + global _pool + if _pool is None: + kwargs: dict = dict( + user=os.environ["ORACLE_USER"], + password=os.environ["ORACLE_PASSWORD"], + dsn=os.environ["ORACLE_DSN"], + min=1, + max=5, + increment=1, + ) + wallet = os.environ.get("ORACLE_WALLET") + if wallet: + kwargs["config_dir"] = wallet + _pool = oracledb.create_pool(**kwargs) + return _pool + + +@contextmanager +def conn() -> Generator[oracledb.Connection, None, None]: + """Acquire a pooled connection with auto-commit/rollback.""" + pool = _get_pool() + c = pool.acquire() + try: + yield c + c.commit() + except Exception: + c.rollback() + raise + finally: + pool.release(c) diff --git a/backend/core/extractor.py b/backend/core/extractor.py new file mode 100644 index 0000000..1d1e7dc --- /dev/null +++ b/backend/core/extractor.py @@ -0,0 +1,128 @@ +"""LLM-based restaurant info extraction from video transcripts. + +Uses OCI GenAI (Gemini Flash) to extract structured restaurant data. +""" + +from __future__ import annotations + +import json +import logging +import os +import re + +import oci +from oci.generative_ai_inference import GenerativeAiInferenceClient +from oci.generative_ai_inference.models import ( + ChatDetails, + GenericChatRequest, + OnDemandServingMode, + TextContent, + UserMessage, +) + +logger = logging.getLogger(__name__) + + +def _get_client() -> GenerativeAiInferenceClient: + config = oci.config.from_file() + endpoint = os.environ.get("OCI_CHAT_ENDPOINT") or os.environ["OCI_GENAI_ENDPOINT"] + return GenerativeAiInferenceClient(config, service_endpoint=endpoint) + + +def _llm(prompt: str, max_tokens: int = 4096) -> str: + client = _get_client() + req = GenericChatRequest( + messages=[UserMessage(content=[TextContent(text=prompt)])], + max_tokens=max_tokens, + temperature=0, + ) + det = ChatDetails( + compartment_id=os.environ["OCI_COMPARTMENT_ID"], + serving_mode=OnDemandServingMode(model_id=os.environ["OCI_CHAT_MODEL_ID"]), + chat_request=req, + ) + resp = client.chat(det) + return resp.data.chat_response.choices[0].message.content[0].text.strip() + + +def _parse_json(raw: str) -> dict | list: + raw = re.sub(r"^```(?:json)?\s*|\s*```$", "", raw, flags=re.MULTILINE).strip() + raw = re.sub(r",\s*([}\]])", r"\1", raw) + try: + return json.loads(raw) + except json.JSONDecodeError: + pass + try: + return json.JSONDecoder(strict=False).decode(raw) + except json.JSONDecodeError: + pass + # recover truncated array + if raw.lstrip().startswith("["): + decoder = json.JSONDecoder(strict=False) + items: list = [] + idx = raw.index("[") + 1 + while idx < len(raw): + while idx < len(raw) and raw[idx] in " \t\n\r,": + idx += 1 + if idx >= len(raw) or raw[idx] == "]": + break + try: + obj, end = decoder.raw_decode(raw, idx) + items.append(obj) + idx = end + except json.JSONDecodeError: + break + if items: + return items + raise ValueError(f"JSON parse failed: {raw[:80]!r}") + + +_EXTRACT_PROMPT = """\ +다음은 유튜브 먹방/맛집 영상의 자막입니다. +이 영상에서 언급된 모든 식당 정보를 추출하세요. + +규칙: +- 식당이 없으면 빈 배열 [] 반환 +- 각 식당에 대해 아래 필드를 JSON 배열로 반환 +- 확실하지 않은 정보는 null +- 추가 설명 없이 JSON만 반환 + +필드: +- name: 식당 이름 (string, 필수) +- address: 주소 또는 위치 힌트 (string | null) +- region: 지역 (예: 서울 강남, 부산 해운대) (string | null) +- cuisine_type: 음식 종류 (예: 한식, 일식, 중식, 양식, 카페) (string | null) +- price_range: 가격대 (예: 1만원대, 2-3만원) (string | null) +- foods_mentioned: 언급된 메뉴들 (string[]) +- evaluation: 평가 내용 (string | null) +- guests: 함께한 게스트 (string[]) + +영상 제목: {title} +자막: +{transcript} + +JSON 배열:""" + + +def extract_restaurants(title: str, transcript: str) -> tuple[list[dict], str]: + """Extract restaurant info from a video transcript using LLM. + + Returns (list of restaurant dicts, raw LLM response text). + """ + # Truncate very long transcripts + if len(transcript) > 8000: + transcript = transcript[:7000] + "\n...(중략)...\n" + transcript[-1000:] + + prompt = _EXTRACT_PROMPT.format(title=title, transcript=transcript) + + try: + raw = _llm(prompt, max_tokens=4096) + result = _parse_json(raw) + if isinstance(result, list): + return result, raw + if isinstance(result, dict): + return [result], raw + return [], raw + except Exception as e: + logger.error("Restaurant extraction failed: %s", e) + return [], "" diff --git a/backend/core/geocoding.py b/backend/core/geocoding.py new file mode 100644 index 0000000..0076b01 --- /dev/null +++ b/backend/core/geocoding.py @@ -0,0 +1,97 @@ +"""Google Maps Geocoding + Place Search for restaurant location lookup.""" + +from __future__ import annotations + +import logging +import os + +import httpx + +logger = logging.getLogger(__name__) + + +def _api_key() -> str: + return os.environ["GOOGLE_MAPS_API_KEY"] + + +def geocode_restaurant(name: str, address: str | None = None, region: str | None = None) -> dict | None: + """Look up restaurant coordinates using Google Maps. + + Tries Places Text Search first (more accurate for restaurant names), + falls back to Geocoding API. + + Returns dict with: latitude, longitude, formatted_address, google_place_id + or None if not found. + """ + query = name + if address: + query += f" {address}" + elif region: + query += f" {region}" + + # Try Places Text Search (better for business names) + result = _places_text_search(query) + if result: + return result + + # Fallback: Geocoding API + return _geocode(query) + + +def _places_text_search(query: str) -> dict | None: + """Search for a place using Google Places Text Search API.""" + try: + r = httpx.get( + "https://maps.googleapis.com/maps/api/place/textsearch/json", + params={ + "query": query, + "key": _api_key(), + "language": "ko", + "type": "restaurant", + }, + timeout=10, + ) + r.raise_for_status() + data = r.json() + + if data.get("status") == "OK" and data.get("results"): + place = data["results"][0] + loc = place["geometry"]["location"] + return { + "latitude": loc["lat"], + "longitude": loc["lng"], + "formatted_address": place.get("formatted_address", ""), + "google_place_id": place.get("place_id", ""), + } + except Exception as e: + logger.warning("Places text search failed for '%s': %s", query, e) + return None + + +def _geocode(query: str) -> dict | None: + """Geocode an address string.""" + try: + r = httpx.get( + "https://maps.googleapis.com/maps/api/geocode/json", + params={ + "address": query, + "key": _api_key(), + "language": "ko", + }, + timeout=10, + ) + r.raise_for_status() + data = r.json() + + if data.get("status") == "OK" and data.get("results"): + result = data["results"][0] + loc = result["geometry"]["location"] + return { + "latitude": loc["lat"], + "longitude": loc["lng"], + "formatted_address": result.get("formatted_address", ""), + "google_place_id": "", + } + except Exception as e: + logger.warning("Geocoding failed for '%s': %s", query, e) + return None diff --git a/backend/core/pipeline.py b/backend/core/pipeline.py new file mode 100644 index 0000000..3fde88c --- /dev/null +++ b/backend/core/pipeline.py @@ -0,0 +1,134 @@ +"""Data pipeline: process pending videos end-to-end. + +For each pending video: +1. Fetch transcript +2. Extract restaurant info via LLM +3. Geocode each restaurant +4. Save to DB + generate vector embeddings +""" + +from __future__ import annotations + +import json +import logging + +from core import youtube, extractor, geocoding, restaurant, vector + +logger = logging.getLogger(__name__) + + +def process_video(video: dict) -> int: + """Process a single pending video. Returns number of restaurants found.""" + video_db_id = video["id"] + video_id = video["video_id"] + title = video["title"] + + logger.info("Processing video: %s (%s)", title, video_id) + youtube.update_video_status(video_db_id, "processing") + + try: + # 1. Transcript + transcript = youtube.get_transcript(video_id) + if not transcript: + logger.warning("No transcript for %s, marking done", video_id) + youtube.update_video_status(video_db_id, "done") + return 0 + + youtube.update_video_status(video_db_id, "processing", transcript) + + # 2. LLM extraction + restaurants, llm_raw = extractor.extract_restaurants(title, transcript) + if not restaurants: + logger.info("No restaurants found in %s", video_id) + youtube.update_video_status(video_db_id, "done", llm_raw=llm_raw) + return 0 + + # 3-4. Geocode + save each restaurant + count = 0 + for rest_data in restaurants: + name = rest_data.get("name") + if not name: + continue + + # Geocode + geo = geocoding.geocode_restaurant( + name, + address=rest_data.get("address"), + region=rest_data.get("region"), + ) + + lat = geo["latitude"] if geo else None + lng = geo["longitude"] if geo else None + addr = geo["formatted_address"] if geo else rest_data.get("address") + place_id = geo["google_place_id"] if geo else None + + # Upsert restaurant + rest_id = restaurant.upsert( + name=name, + address=addr, + region=rest_data.get("region"), + latitude=lat, + longitude=lng, + cuisine_type=rest_data.get("cuisine_type"), + price_range=rest_data.get("price_range"), + google_place_id=place_id, + ) + + # Link video <-> restaurant + restaurant.link_video_restaurant( + video_db_id=video_db_id, + restaurant_id=rest_id, + foods=rest_data.get("foods_mentioned"), + evaluation=rest_data.get("evaluation"), + guests=rest_data.get("guests"), + ) + + # Vector embeddings + chunks = _build_chunks(name, rest_data, title) + if chunks: + vector.save_restaurant_vectors(rest_id, chunks) + + count += 1 + logger.info("Saved restaurant: %s (geocoded=%s)", name, bool(geo)) + + youtube.update_video_status(video_db_id, "done", llm_raw=llm_raw) + logger.info("Video %s done: %d restaurants", video_id, count) + return count + + except Exception as e: + logger.error("Pipeline error for %s: %s", video_id, e, exc_info=True) + youtube.update_video_status(video_db_id, "error") + return 0 + + +def _build_chunks(name: str, data: dict, video_title: str) -> list[str]: + """Build text chunks for vector embedding.""" + parts = [f"식당: {name}"] + if data.get("region"): + parts.append(f"지역: {data['region']}") + if data.get("cuisine_type"): + parts.append(f"음식 종류: {data['cuisine_type']}") + if data.get("foods_mentioned"): + foods = data["foods_mentioned"] + if isinstance(foods, list): + parts.append(f"메뉴: {', '.join(foods)}") + if data.get("evaluation"): + parts.append(f"평가: {data['evaluation']}") + if data.get("price_range"): + parts.append(f"가격대: {data['price_range']}") + parts.append(f"영상: {video_title}") + + return ["\n".join(parts)] + + +def process_pending(limit: int = 5) -> int: + """Process up to `limit` pending videos. Returns total restaurants found.""" + videos = youtube.get_pending_videos(limit) + if not videos: + logger.info("No pending videos") + return 0 + + total = 0 + for v in videos: + total += process_video(v) + return total diff --git a/backend/core/restaurant.py b/backend/core/restaurant.py new file mode 100644 index 0000000..2a12352 --- /dev/null +++ b/backend/core/restaurant.py @@ -0,0 +1,205 @@ +"""Restaurant DB operations — save extracted data, link to videos.""" + +from __future__ import annotations + +import json + +import oracledb + +from core.db import conn + + +def find_by_name(name: str) -> dict | None: + """Find a restaurant by exact name match.""" + sql = "SELECT id, name, address, region, latitude, longitude FROM restaurants WHERE name = :n" + with conn() as c: + cur = c.cursor() + cur.execute(sql, {"n": name}) + r = cur.fetchone() + if r: + return { + "id": r[0], "name": r[1], "address": r[2], + "region": r[3], "latitude": r[4], "longitude": r[5], + } + return None + + +def upsert( + name: str, + address: str | None = None, + region: str | None = None, + latitude: float | None = None, + longitude: float | None = None, + cuisine_type: str | None = None, + price_range: str | None = None, + google_place_id: str | None = None, +) -> str: + """Insert or update a restaurant. Returns row id.""" + existing = find_by_name(name) + if existing: + sql = """ + UPDATE restaurants + SET address = COALESCE(:addr, address), + region = COALESCE(:reg, region), + latitude = COALESCE(:lat, latitude), + longitude = COALESCE(:lng, longitude), + cuisine_type = COALESCE(:cuisine, cuisine_type), + price_range = COALESCE(:price, price_range), + google_place_id = COALESCE(:gid, google_place_id), + updated_at = SYSTIMESTAMP + WHERE id = :id + """ + with conn() as c: + c.cursor().execute(sql, { + "addr": address, "reg": region, + "lat": latitude, "lng": longitude, + "cuisine": cuisine_type, "price": price_range, + "gid": google_place_id, "id": existing["id"], + }) + return existing["id"] + + sql = """ + INSERT INTO restaurants (name, address, region, latitude, longitude, + cuisine_type, price_range, google_place_id) + VALUES (:name, :addr, :reg, :lat, :lng, :cuisine, :price, :gid) + RETURNING id INTO :out_id + """ + with conn() as c: + cur = c.cursor() + out_id = cur.var(oracledb.STRING) + cur.execute(sql, { + "name": name, "addr": address, "reg": region, + "lat": latitude, "lng": longitude, + "cuisine": cuisine_type, "price": price_range, + "gid": google_place_id, "out_id": out_id, + }) + return out_id.getvalue()[0] + + +def link_video_restaurant( + video_db_id: str, + restaurant_id: str, + foods: list[str] | None = None, + evaluation: str | None = None, + guests: list[str] | None = None, + citation: str | None = None, +) -> str | None: + """Create video-restaurant mapping. Returns row id or None if duplicate.""" + sql = """ + INSERT INTO video_restaurants + (video_id, restaurant_id, foods_mentioned, evaluation, guests, citation_text) + VALUES (:vid, :rid, :foods, :eval, :guests, :cite) + RETURNING id INTO :out_id + """ + with conn() as c: + cur = c.cursor() + out_id = cur.var(oracledb.STRING) + try: + cur.execute(sql, { + "vid": video_db_id, + "rid": restaurant_id, + "foods": json.dumps(foods or [], ensure_ascii=False), + "eval": json.dumps({"text": evaluation} if evaluation else {}, ensure_ascii=False), + "guests": json.dumps(guests or [], ensure_ascii=False), + "cite": citation, + "out_id": out_id, + }) + return out_id.getvalue()[0] + except Exception as e: + if "UQ_VR_VIDEO_REST" in str(e).upper(): + return None + raise + + +def get_all( + limit: int = 100, + offset: int = 0, + cuisine: str | None = None, + region: str | None = None, +) -> list[dict]: + """List restaurants with optional filters.""" + conditions = ["latitude IS NOT NULL"] + params: dict = {"lim": limit, "off": offset} + + if cuisine: + conditions.append("cuisine_type = :cuisine") + params["cuisine"] = cuisine + if region: + conditions.append("region LIKE :region") + params["region"] = f"%{region}%" + + where = " AND ".join(conditions) + sql = f""" + SELECT id, name, address, region, latitude, longitude, + cuisine_type, price_range, google_place_id + FROM restaurants + WHERE {where} + ORDER BY updated_at DESC + OFFSET :off ROWS FETCH NEXT :lim ROWS ONLY + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, params) + cols = [d[0].lower() for d in cur.description] + return [dict(zip(cols, row)) for row in cur.fetchall()] + + +def get_by_id(restaurant_id: str) -> dict | None: + sql = """ + SELECT r.id, r.name, r.address, r.region, r.latitude, r.longitude, + r.cuisine_type, r.price_range, r.phone, r.website, r.google_place_id + FROM restaurants r + WHERE r.id = :id + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, {"id": restaurant_id}) + row = cur.fetchone() + if not row: + return None + cols = [d[0].lower() for d in cur.description] + return dict(zip(cols, row)) + + +def get_video_links(restaurant_id: str) -> list[dict]: + """Get all video appearances for a restaurant.""" + sql = """ + SELECT v.video_id, v.title, v.url, v.published_at, + vr.foods_mentioned, vr.evaluation, vr.guests + FROM video_restaurants vr + JOIN videos v ON v.id = vr.video_id + WHERE vr.restaurant_id = :rid + ORDER BY v.published_at DESC + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, {"rid": restaurant_id}) + results = [] + for r in cur.fetchall(): + foods_raw = r[4].read() if hasattr(r[4], "read") else r[4] + eval_raw = r[5].read() if hasattr(r[5], "read") else r[5] + guests_raw = r[6].read() if hasattr(r[6], "read") else r[6] + results.append({ + "video_id": r[0], + "title": r[1], + "url": r[2], + "published_at": r[3].isoformat() if r[3] else None, + "foods_mentioned": _parse_json_field(foods_raw, []), + "evaluation": _parse_json_field(eval_raw, {}), + "guests": _parse_json_field(guests_raw, []), + }) + return results + + +def _parse_json_field(val, default): + """Parse a JSON field that may be a string, already-parsed object, or None.""" + if val is None: + return default + if isinstance(val, (list, dict)): + return val + if isinstance(val, str): + try: + return json.loads(val) + except (json.JSONDecodeError, ValueError): + return default + return default diff --git a/backend/core/review.py b/backend/core/review.py new file mode 100644 index 0000000..5961d5b --- /dev/null +++ b/backend/core/review.py @@ -0,0 +1,189 @@ +"""User review DB operations.""" + +from __future__ import annotations + +from datetime import date + +import oracledb + +from core.db import conn + + +def create_review( + user_id: str, + restaurant_id: str, + rating: float, + review_text: str | None = None, + visited_at: date | None = None, +) -> dict: + """Create a new review. Returns the created review dict.""" + sql = """ + INSERT INTO user_reviews (user_id, restaurant_id, rating, review_text, visited_at) + VALUES (:user_id, :restaurant_id, :rating, :review_text, :visited_at) + RETURNING id INTO :out_id + """ + with conn() as c: + cur = c.cursor() + out_id = cur.var(oracledb.STRING) + cur.execute(sql, { + "user_id": user_id, + "restaurant_id": restaurant_id, + "rating": rating, + "review_text": review_text, + "visited_at": visited_at, + "out_id": out_id, + }) + new_id = out_id.getvalue()[0] + + return get_review_by_id(new_id) + + +def update_review( + review_id: str, + user_id: str, + rating: float | None = None, + review_text: str | None = None, + visited_at: date | None = None, +) -> dict: + """Update an existing review. Only the owner can update. + + Returns the updated review dict, or None if not found / not owner. + """ + sql = """ + UPDATE user_reviews + SET rating = COALESCE(:rating, rating), + review_text = COALESCE(:review_text, review_text), + visited_at = COALESCE(:visited_at, visited_at), + updated_at = SYSTIMESTAMP + WHERE id = :id AND user_id = :user_id + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, { + "rating": rating, + "review_text": review_text, + "visited_at": visited_at, + "id": review_id, + "user_id": user_id, + }) + if cur.rowcount == 0: + return None + + return get_review_by_id(review_id) + + +def delete_review(review_id: str, user_id: str) -> bool: + """Delete a review. Only the owner can delete. Returns True if deleted.""" + sql = "DELETE FROM user_reviews WHERE id = :id AND user_id = :user_id" + with conn() as c: + cur = c.cursor() + cur.execute(sql, {"id": review_id, "user_id": user_id}) + return cur.rowcount > 0 + + +def get_review_by_id(review_id: str) -> dict | None: + """Get a single review by ID.""" + sql = """ + SELECT r.id, r.user_id, r.restaurant_id, r.rating, r.review_text, + r.visited_at, r.created_at, r.updated_at, + u.nickname, u.avatar_url + FROM user_reviews r + JOIN tasteby_users u ON u.id = r.user_id + WHERE r.id = :id + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, {"id": review_id}) + row = cur.fetchone() + if not row: + return None + return _row_to_dict(row) + + +def get_reviews_for_restaurant( + restaurant_id: str, + limit: int = 20, + offset: int = 0, +) -> list[dict]: + """List reviews for a restaurant, including user nickname/avatar.""" + sql = """ + SELECT r.id, r.user_id, r.restaurant_id, r.rating, r.review_text, + r.visited_at, r.created_at, r.updated_at, + u.nickname, u.avatar_url + FROM user_reviews r + JOIN tasteby_users u ON u.id = r.user_id + WHERE r.restaurant_id = :restaurant_id + ORDER BY r.created_at DESC + OFFSET :off ROWS FETCH NEXT :lim ROWS ONLY + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, { + "restaurant_id": restaurant_id, + "off": offset, + "lim": limit, + }) + return [_row_to_dict(row) for row in cur.fetchall()] + + +def get_user_reviews( + user_id: str, + limit: int = 20, + offset: int = 0, +) -> list[dict]: + """List reviews by a specific user.""" + sql = """ + SELECT r.id, r.user_id, r.restaurant_id, r.rating, r.review_text, + r.visited_at, r.created_at, r.updated_at, + u.nickname, u.avatar_url + FROM user_reviews r + JOIN tasteby_users u ON u.id = r.user_id + WHERE r.user_id = :user_id + ORDER BY r.created_at DESC + OFFSET :off ROWS FETCH NEXT :lim ROWS ONLY + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, { + "user_id": user_id, + "off": offset, + "lim": limit, + }) + return [_row_to_dict(row) for row in cur.fetchall()] + + +def get_restaurant_avg_rating(restaurant_id: str) -> dict: + """Get average rating and review count for a restaurant.""" + sql = """ + SELECT ROUND(AVG(rating), 1) AS avg_rating, COUNT(*) AS review_count + FROM user_reviews + WHERE restaurant_id = :restaurant_id + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, {"restaurant_id": restaurant_id}) + row = cur.fetchone() + return { + "avg_rating": float(row[0]) if row[0] else None, + "review_count": int(row[1]), + } + + +def _row_to_dict(row) -> dict: + """Convert a review query row to a dict.""" + review_text = row[4] + if hasattr(review_text, "read"): + review_text = review_text.read() + + return { + "id": row[0], + "user_id": row[1], + "restaurant_id": row[2], + "rating": float(row[3]), + "review_text": review_text, + "visited_at": row[5].isoformat() if row[5] else None, + "created_at": row[6].isoformat() if row[6] else None, + "updated_at": row[7].isoformat() if row[7] else None, + "user_nickname": row[8], + "user_avatar_url": row[9], + } diff --git a/backend/core/vector.py b/backend/core/vector.py new file mode 100644 index 0000000..0e5ca55 --- /dev/null +++ b/backend/core/vector.py @@ -0,0 +1,97 @@ +"""Vector embedding generation and storage for restaurant semantic search.""" + +from __future__ import annotations + +import array +import os + +import oci +from oci.generative_ai_inference import GenerativeAiInferenceClient +from oci.generative_ai_inference.models import ( + EmbedTextDetails, + OnDemandServingMode, +) + +from core.db import conn + + +def _embed_texts(texts: list[str]) -> list[list[float]]: + config = oci.config.from_file() + client = GenerativeAiInferenceClient( + config, + service_endpoint=os.environ["OCI_GENAI_ENDPOINT"], + ) + model_id = os.environ.get("OCI_EMBED_MODEL_ID", "cohere.embed-v4.0") + compartment_id = os.environ["OCI_COMPARTMENT_ID"] + + details = EmbedTextDetails( + inputs=texts, + serving_mode=OnDemandServingMode(model_id=model_id), + compartment_id=compartment_id, + input_type="SEARCH_DOCUMENT", + ) + response = client.embed_text(details) + return response.data.embeddings + + +def _to_vec(embedding: list[float]) -> array.array: + return array.array("f", embedding) + + +def save_restaurant_vectors(restaurant_id: str, chunks: list[str]) -> list[str]: + """Embed and store text chunks for a restaurant. + + Returns list of inserted row IDs. + """ + if not chunks: + return [] + + embeddings = _embed_texts(chunks) + inserted: list[str] = [] + + sql = """ + INSERT INTO restaurant_vectors (restaurant_id, chunk_text, embedding) + VALUES (:rid, :chunk, :emb) + RETURNING id INTO :out_id + """ + import oracledb + with conn() as c: + cur = c.cursor() + for chunk, emb in zip(chunks, embeddings): + out_id = cur.var(oracledb.STRING) + cur.execute(sql, { + "rid": restaurant_id, + "chunk": chunk, + "emb": _to_vec(emb), + "out_id": out_id, + }) + inserted.append(out_id.getvalue()[0]) + return inserted + + +def search_similar(query: str, top_k: int = 10) -> list[dict]: + """Semantic search: find restaurants similar to query text. + + Returns list of dicts: restaurant_id, chunk_text, distance. + """ + embeddings = _embed_texts([query]) + query_vec = _to_vec(embeddings[0]) + + sql = """ + SELECT rv.restaurant_id, rv.chunk_text, + VECTOR_DISTANCE(rv.embedding, :qvec, COSINE) AS dist + FROM restaurant_vectors rv + ORDER BY dist + FETCH FIRST :k ROWS ONLY + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, {"qvec": query_vec, "k": top_k}) + return [ + { + "restaurant_id": r[0], + "chunk_text": r[1].read() if hasattr(r[1], "read") else r[1], + "distance": r[2], + } + for r in cur.fetchall() + ] diff --git a/backend/core/youtube.py b/backend/core/youtube.py new file mode 100644 index 0000000..eb6fc12 --- /dev/null +++ b/backend/core/youtube.py @@ -0,0 +1,221 @@ +"""YouTube channel scanner + transcript extraction. + +Uses YouTube Data API v3 for channel video listing, +youtube-transcript-api for transcript extraction. +""" + +from __future__ import annotations + +import logging +import os +import re +from datetime import datetime + +import httpx +from youtube_transcript_api import YouTubeTranscriptApi + +from core.db import conn + +logger = logging.getLogger(__name__) + + +def _api_key() -> str: + return os.environ["YOUTUBE_DATA_API_KEY"] + + +def extract_video_id(url: str) -> str: + match = re.search(r"(?:v=|youtu\.be/)([^&?/\s]+)", url) + if not match: + raise ValueError(f"Cannot extract video ID from URL: {url}") + return match.group(1) + + +# -- Channel operations ------------------------------------------------------- + +def add_channel(channel_id: str, channel_name: str) -> str: + """Register a YouTube channel. Returns DB row id.""" + sql = """ + INSERT INTO channels (channel_id, channel_name, channel_url) + VALUES (:cid, :cname, :curl) + RETURNING id INTO :out_id + """ + with conn() as c: + cur = c.cursor() + import oracledb + out_id = cur.var(oracledb.STRING) + cur.execute(sql, { + "cid": channel_id, + "cname": channel_name, + "curl": f"https://www.youtube.com/channel/{channel_id}", + "out_id": out_id, + }) + return out_id.getvalue()[0] + + +def get_active_channels() -> list[dict]: + sql = "SELECT id, channel_id, channel_name FROM channels WHERE is_active = 1" + with conn() as c: + cur = c.cursor() + cur.execute(sql) + return [ + {"id": r[0], "channel_id": r[1], "channel_name": r[2]} + for r in cur.fetchall() + ] + + +# -- Video listing via YouTube Data API v3 ------------------------------------ + +def fetch_channel_videos( + channel_id: str, + max_results: int = 50, + published_after: str | None = None, +) -> list[dict]: + """Fetch video list from a YouTube channel via Data API v3. + + Returns list of dicts: video_id, title, published_at, url. + """ + params: dict = { + "key": _api_key(), + "channelId": channel_id, + "part": "snippet", + "order": "date", + "maxResults": min(max_results, 50), + "type": "video", + } + if published_after: + params["publishedAfter"] = published_after + + videos: list[dict] = [] + next_page = None + + while True: + if next_page: + params["pageToken"] = next_page + + r = httpx.get( + "https://www.googleapis.com/youtube/v3/search", + params=params, + timeout=15, + ) + r.raise_for_status() + data = r.json() + + for item in data.get("items", []): + snippet = item["snippet"] + vid = item["id"]["videoId"] + videos.append({ + "video_id": vid, + "title": snippet["title"], + "published_at": snippet["publishedAt"], + "url": f"https://www.youtube.com/watch?v={vid}", + }) + + next_page = data.get("nextPageToken") + if not next_page or len(videos) >= max_results: + break + + return videos[:max_results] + + +# -- Transcript extraction ---------------------------------------------------- + +def get_transcript(video_id: str) -> str | None: + """Fetch transcript text for a video. Returns None if unavailable.""" + try: + fetched = YouTubeTranscriptApi().fetch(video_id, languages=["ko", "en"]) + return " ".join(seg.text for seg in fetched) + except Exception as e: + logger.warning("Transcript unavailable for %s: %s", video_id, e) + return None + + +# -- DB operations for videos ------------------------------------------------- + +def save_video(channel_db_id: str, video: dict) -> str | None: + """Insert a video row if not exists. Returns row id or None if duplicate.""" + sql = """ + INSERT INTO videos (channel_id, video_id, title, url, published_at, status) + VALUES (:ch_id, :vid, :title, :url, :pub_at, 'pending') + RETURNING id INTO :out_id + """ + with conn() as c: + cur = c.cursor() + import oracledb + out_id = cur.var(oracledb.STRING) + try: + pub_at = None + if video.get("published_at"): + pub_at = datetime.fromisoformat( + video["published_at"].replace("Z", "+00:00") + ) + cur.execute(sql, { + "ch_id": channel_db_id, + "vid": video["video_id"], + "title": video["title"], + "url": video["url"], + "pub_at": pub_at, + "out_id": out_id, + }) + return out_id.getvalue()[0] + except Exception as e: + if "UQ_VIDEOS_VID" in str(e).upper(): + return None # duplicate + raise + + +def get_pending_videos(limit: int = 10) -> list[dict]: + sql = """ + SELECT id, video_id, title, url + FROM videos + WHERE status = 'pending' + ORDER BY created_at + FETCH FIRST :n ROWS ONLY + """ + with conn() as c: + cur = c.cursor() + cur.execute(sql, {"n": limit}) + return [ + {"id": r[0], "video_id": r[1], "title": r[2], "url": r[3]} + for r in cur.fetchall() + ] + + +def update_video_status( + video_db_id: str, + status: str, + transcript: str | None = None, + llm_raw: str | None = None, +) -> None: + sets = ["status = :st", "processed_at = SYSTIMESTAMP"] + params: dict = {"st": status, "vid": video_db_id} + if transcript: + sets.append("transcript_text = :txt") + params["txt"] = transcript + if llm_raw: + sets.append("llm_raw_response = :llm_resp") + params["llm_resp"] = llm_raw + sql = f"UPDATE videos SET {', '.join(sets)} WHERE id = :vid" + with conn() as c: + c.cursor().execute(sql, params) + + +# -- Scan: fetch new videos for all active channels --------------------------- + +def scan_all_channels(max_per_channel: int = 50) -> int: + """Scan all active channels for new videos. Returns count of new videos.""" + channels = get_active_channels() + total_new = 0 + for ch in channels: + try: + videos = fetch_channel_videos(ch["channel_id"], max_per_channel) + for v in videos: + row_id = save_video(ch["id"], v) + if row_id: + total_new += 1 + logger.info( + "Channel %s: fetched %d videos, %d new", + ch["channel_name"], len(videos), total_new, + ) + except Exception as e: + logger.error("Failed to scan channel %s: %s", ch["channel_name"], e) + return total_new diff --git a/backend/daemon/__init__.py b/backend/daemon/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/daemon/worker.py b/backend/daemon/worker.py new file mode 100644 index 0000000..bf61912 --- /dev/null +++ b/backend/daemon/worker.py @@ -0,0 +1,37 @@ +"""Daemon worker: periodic channel scan + video processing.""" + +from __future__ import annotations + +import logging +import time + +from core.youtube import scan_all_channels +from core.pipeline import process_pending + +logger = logging.getLogger(__name__) + + +def run_once() -> None: + """Single daemon cycle: scan channels then process pending videos.""" + logger.info("=== Daemon cycle start ===") + try: + new_count = scan_all_channels() + logger.info("Scan complete: %d new videos", new_count) + except Exception as e: + logger.error("Channel scan failed: %s", e) + + try: + rest_count = process_pending(limit=10) + logger.info("Processing complete: %d restaurants extracted", rest_count) + except Exception as e: + logger.error("Video processing failed: %s", e) + + logger.info("=== Daemon cycle end ===") + + +def run_loop(interval: int = 3600) -> None: + """Run daemon in a loop with configurable interval (default 1 hour).""" + logger.info("Daemon started (interval=%ds)", interval) + while True: + run_once() + time.sleep(interval) diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000..8a653ec --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,10 @@ +fastapi>=0.115 +uvicorn[standard]>=0.34 +python-dotenv>=1.0 +oracledb>=2.5 +oci>=2.140 +httpx>=0.28 +youtube-transcript-api>=1.0 +pydantic>=2.0 +pyjwt[crypto]>=2.8 +google-auth>=2.28 diff --git a/backend/run_api.py b/backend/run_api.py new file mode 100644 index 0000000..13d0271 --- /dev/null +++ b/backend/run_api.py @@ -0,0 +1,9 @@ +"""Run the FastAPI server.""" + +from dotenv import load_dotenv +load_dotenv() + +import uvicorn + +if __name__ == "__main__": + uvicorn.run("api.main:app", host="0.0.0.0", port=8000, reload=True) diff --git a/backend/run_daemon.py b/backend/run_daemon.py new file mode 100644 index 0000000..214ca55 --- /dev/null +++ b/backend/run_daemon.py @@ -0,0 +1,18 @@ +"""Run the daemon worker.""" + +import logging +import os + +from dotenv import load_dotenv +load_dotenv() + +from daemon.worker import run_loop + +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s [%(levelname)s] %(name)s: %(message)s", +) + +if __name__ == "__main__": + interval = int(os.environ.get("DAEMON_INTERVAL", "3600")) + run_loop(interval) diff --git a/backend/sql/schema.sql b/backend/sql/schema.sql new file mode 100644 index 0000000..e97b91f --- /dev/null +++ b/backend/sql/schema.sql @@ -0,0 +1,127 @@ +-- Tasteby: Oracle ADB (23ai) Schema +-- Run against Oracle ADB before starting the backend. + +-- 1. channels +CREATE TABLE channels ( + id VARCHAR2(36) DEFAULT SYS_GUID() NOT NULL, + channel_id VARCHAR2(50) NOT NULL, + channel_name VARCHAR2(200) NOT NULL, + channel_url VARCHAR2(500), + is_active NUMBER(1) DEFAULT 1 NOT NULL, + created_at TIMESTAMP DEFAULT SYSTIMESTAMP NOT NULL, + CONSTRAINT pk_channels PRIMARY KEY (id), + CONSTRAINT uq_channels_cid UNIQUE (channel_id) +); + +-- 2. videos +CREATE TABLE videos ( + id VARCHAR2(36) DEFAULT SYS_GUID() NOT NULL, + channel_id VARCHAR2(36) NOT NULL, + video_id VARCHAR2(20) NOT NULL, + title VARCHAR2(500) NOT NULL, + url VARCHAR2(500) NOT NULL, + published_at TIMESTAMP, + transcript_text CLOB, + status VARCHAR2(20) DEFAULT 'pending' NOT NULL, + processed_at TIMESTAMP, + created_at TIMESTAMP DEFAULT SYSTIMESTAMP NOT NULL, + CONSTRAINT pk_videos PRIMARY KEY (id), + CONSTRAINT uq_videos_vid UNIQUE (video_id), + CONSTRAINT fk_videos_channel FOREIGN KEY (channel_id) REFERENCES channels(id), + CONSTRAINT ck_videos_status CHECK (status IN ('pending','processing','done','error')) +); + +-- 3. restaurants +CREATE TABLE restaurants ( + id VARCHAR2(36) DEFAULT SYS_GUID() NOT NULL, + name VARCHAR2(200) NOT NULL, + address VARCHAR2(500), + region VARCHAR2(100), + latitude NUMBER(10,7), + longitude NUMBER(10,7), + cuisine_type VARCHAR2(100), + price_range VARCHAR2(50), + phone VARCHAR2(50), + website VARCHAR2(500), + google_place_id VARCHAR2(200), + created_at TIMESTAMP DEFAULT SYSTIMESTAMP NOT NULL, + updated_at TIMESTAMP DEFAULT SYSTIMESTAMP NOT NULL, + CONSTRAINT pk_restaurants PRIMARY KEY (id) +); + +-- 4. video_restaurants (N:M) +CREATE TABLE video_restaurants ( + id VARCHAR2(36) DEFAULT SYS_GUID() NOT NULL, + video_id VARCHAR2(36) NOT NULL, + restaurant_id VARCHAR2(36) NOT NULL, + foods_mentioned CLOB, + evaluation CLOB, + guests CLOB, + air_date DATE, + citation_text CLOB, + created_at TIMESTAMP DEFAULT SYSTIMESTAMP NOT NULL, + CONSTRAINT pk_video_restaurants PRIMARY KEY (id), + CONSTRAINT fk_vr_video FOREIGN KEY (video_id) REFERENCES videos(id), + CONSTRAINT fk_vr_restaurant FOREIGN KEY (restaurant_id) REFERENCES restaurants(id), + CONSTRAINT uq_vr_video_rest UNIQUE (video_id, restaurant_id) +); + +-- JSON check constraints for CLOB JSON columns +-- (Oracle 23ai supports IS JSON on CLOB) +ALTER TABLE video_restaurants ADD CONSTRAINT ck_vr_foods CHECK (foods_mentioned IS JSON); +ALTER TABLE video_restaurants ADD CONSTRAINT ck_vr_eval CHECK (evaluation IS JSON); +ALTER TABLE video_restaurants ADD CONSTRAINT ck_vr_guests CHECK (guests IS JSON); + +-- 5. tasteby_users (NOT "users" — that table belongs to another project) +CREATE TABLE tasteby_users ( + id VARCHAR2(36) DEFAULT SYS_GUID() NOT NULL, + provider VARCHAR2(20) NOT NULL, + provider_id VARCHAR2(200) NOT NULL, + email VARCHAR2(200), + nickname VARCHAR2(100), + avatar_url VARCHAR2(500), + created_at TIMESTAMP DEFAULT SYSTIMESTAMP NOT NULL, + last_login_at TIMESTAMP, + CONSTRAINT pk_tasteby_users PRIMARY KEY (id), + CONSTRAINT uq_tasteby_users_provider UNIQUE (provider, provider_id), + CONSTRAINT ck_tasteby_users_provider CHECK (provider IN ('google','apple')) +); + +-- 6. user_reviews +CREATE TABLE user_reviews ( + id VARCHAR2(36) DEFAULT SYS_GUID() NOT NULL, + user_id VARCHAR2(36) NOT NULL, + restaurant_id VARCHAR2(36) NOT NULL, + rating NUMBER(2,1) NOT NULL, + review_text CLOB, + visited_at DATE, + created_at TIMESTAMP DEFAULT SYSTIMESTAMP NOT NULL, + updated_at TIMESTAMP DEFAULT SYSTIMESTAMP NOT NULL, + CONSTRAINT pk_user_reviews PRIMARY KEY (id), + CONSTRAINT fk_ur_user FOREIGN KEY (user_id) REFERENCES tasteby_users(id), + CONSTRAINT fk_ur_restaurant FOREIGN KEY (restaurant_id) REFERENCES restaurants(id), + CONSTRAINT ck_ur_rating CHECK (rating BETWEEN 0.5 AND 5.0) +); + +-- 7. restaurant_vectors (semantic search) +CREATE TABLE restaurant_vectors ( + id VARCHAR2(36) DEFAULT SYS_GUID() NOT NULL, + restaurant_id VARCHAR2(36) NOT NULL, + chunk_text CLOB NOT NULL, + embedding VECTOR(1536, FLOAT32), + created_at TIMESTAMP DEFAULT SYSTIMESTAMP NOT NULL, + CONSTRAINT pk_restaurant_vectors PRIMARY KEY (id), + CONSTRAINT fk_rv_restaurant FOREIGN KEY (restaurant_id) REFERENCES restaurants(id) +); + +CREATE VECTOR INDEX idx_rv_embedding + ON restaurant_vectors (embedding) + ORGANIZATION NEIGHBOR PARTITIONS + WITH DISTANCE COSINE; + +-- Useful indexes +CREATE INDEX idx_videos_status ON videos(status); +CREATE INDEX idx_videos_channel ON videos(channel_id); +CREATE INDEX idx_vr_restaurant ON video_restaurants(restaurant_id); +CREATE INDEX idx_ur_restaurant ON user_reviews(restaurant_id); +CREATE INDEX idx_ur_user ON user_reviews(user_id); diff --git a/ecosystem.config.js b/ecosystem.config.js new file mode 100644 index 0000000..8e4841d --- /dev/null +++ b/ecosystem.config.js @@ -0,0 +1,28 @@ +module.exports = { + apps: [ + { + name: "tasteby-api", + cwd: "./backend", + script: "run_api.py", + interpreter: ".venv/bin/python", + env: { + PYTHONPATH: ".", + }, + }, + { + name: "tasteby-daemon", + cwd: "./backend", + script: "run_daemon.py", + interpreter: ".venv/bin/python", + env: { + PYTHONPATH: ".", + }, + }, + { + name: "tasteby-web", + cwd: "./frontend", + script: "npm", + args: "run dev", + }, + ], +}; diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 0000000..5ef6a52 --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,41 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/frontend/README.md b/frontend/README.md new file mode 100644 index 0000000..e215bc4 --- /dev/null +++ b/frontend/README.md @@ -0,0 +1,36 @@ +This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). + +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/frontend/eslint.config.mjs b/frontend/eslint.config.mjs new file mode 100644 index 0000000..05e726d --- /dev/null +++ b/frontend/eslint.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig, globalIgnores } from "eslint/config"; +import nextVitals from "eslint-config-next/core-web-vitals"; +import nextTs from "eslint-config-next/typescript"; + +const eslintConfig = defineConfig([ + ...nextVitals, + ...nextTs, + // Override default ignores of eslint-config-next. + globalIgnores([ + // Default ignores of eslint-config-next: + ".next/**", + "out/**", + "build/**", + "next-env.d.ts", + ]), +]); + +export default eslintConfig; diff --git a/frontend/next.config.ts b/frontend/next.config.ts new file mode 100644 index 0000000..e9ffa30 --- /dev/null +++ b/frontend/next.config.ts @@ -0,0 +1,7 @@ +import type { NextConfig } from "next"; + +const nextConfig: NextConfig = { + /* config options here */ +}; + +export default nextConfig; diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000..bab6b08 --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,6635 @@ +{ + "name": "frontend", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "frontend", + "version": "0.1.0", + "dependencies": { + "@react-oauth/google": "^0.13.4", + "@vis.gl/react-google-maps": "^1.7.1", + "next": "16.1.6", + "react": "19.2.3", + "react-dom": "19.2.3" + }, + "devDependencies": { + "@tailwindcss/postcss": "^4", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "eslint": "^9", + "eslint-config-next": "16.1.6", + "tailwindcss": "^4", + "typescript": "^5" + } + }, + "node_modules/@alloc/quick-lru": { + "version": "5.2.0", + "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz", + "integrity": 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var(--foreground); + --font-sans: var(--font-geist); +} + +body { + background: var(--background); + color: var(--foreground); +} + +html, body, #__next { + height: 100%; + margin: 0; +} diff --git a/frontend/src/app/layout.tsx b/frontend/src/app/layout.tsx new file mode 100644 index 0000000..3a68356 --- /dev/null +++ b/frontend/src/app/layout.tsx @@ -0,0 +1,28 @@ +import type { Metadata } from "next"; +import { Geist } from "next/font/google"; +import "./globals.css"; +import { Providers } from "./providers"; + +const geist = Geist({ + variable: "--font-geist", + subsets: ["latin"], +}); + +export const metadata: Metadata = { + title: "Tasteby - YouTube Restaurant Map", + description: "YouTube food channel restaurant map service", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + {children} + + + ); +} diff --git a/frontend/src/app/page.tsx b/frontend/src/app/page.tsx new file mode 100644 index 0000000..bd03c5e --- /dev/null +++ b/frontend/src/app/page.tsx @@ -0,0 +1,140 @@ +"use client"; + +import { useCallback, useEffect, useState } from "react"; +import { GoogleLogin } from "@react-oauth/google"; +import { api } from "@/lib/api"; +import type { Restaurant } from "@/lib/api"; +import { useAuth } from "@/lib/auth-context"; +import MapView from "@/components/MapView"; +import SearchBar from "@/components/SearchBar"; +import RestaurantList from "@/components/RestaurantList"; +import RestaurantDetail from "@/components/RestaurantDetail"; + +export default function Home() { + const { user, login, logout, isLoading: authLoading } = useAuth(); + const [restaurants, setRestaurants] = useState([]); + const [selected, setSelected] = useState(null); + const [loading, setLoading] = useState(false); + const [showDetail, setShowDetail] = useState(false); + + // Load all restaurants on mount + useEffect(() => { + api + .getRestaurants({ limit: 200 }) + .then(setRestaurants) + .catch(console.error); + }, []); + + const handleSearch = useCallback( + async (query: string, mode: "keyword" | "semantic" | "hybrid") => { + setLoading(true); + try { + const results = await api.search(query, mode); + setRestaurants(results); + setSelected(null); + setShowDetail(false); + } catch (e) { + console.error("Search failed:", e); + } finally { + setLoading(false); + } + }, + [] + ); + + const handleSelectRestaurant = useCallback((r: Restaurant) => { + setSelected(r); + setShowDetail(true); + }, []); + + const handleCloseDetail = useCallback(() => { + setShowDetail(false); + }, []); + + const handleReset = useCallback(() => { + setLoading(true); + api + .getRestaurants({ limit: 200 }) + .then((data) => { + setRestaurants(data); + setSelected(null); + setShowDetail(false); + }) + .catch(console.error) + .finally(() => setLoading(false)); + }, []); + + return ( +
+ {/* Header */} +
+ +
+ +
+ + {restaurants.length}개 식당 + +
+ {authLoading ? null : user ? ( +
+ {user.avatar_url && ( + + )} + {user.nickname || user.email} + +
+ ) : ( + { + if (credentialResponse.credential) { + login(credentialResponse.credential).catch(console.error); + } + }} + onError={() => console.error("Google login failed")} + size="small" + /> + )} +
+
+ + {/* Body */} +
+ {/* Sidebar */} + + + {/* Map */} +
+ +
+
+
+ ); +} diff --git a/frontend/src/app/providers.tsx b/frontend/src/app/providers.tsx new file mode 100644 index 0000000..a4f15b4 --- /dev/null +++ b/frontend/src/app/providers.tsx @@ -0,0 +1,15 @@ +"use client"; + +import { GoogleOAuthProvider } from "@react-oauth/google"; +import { AuthProvider } from "@/lib/auth-context"; +import type { ReactNode } from "react"; + +const GOOGLE_CLIENT_ID = process.env.NEXT_PUBLIC_GOOGLE_CLIENT_ID || ""; + +export function Providers({ children }: { children: ReactNode }) { + return ( + + {children} + + ); +} diff --git a/frontend/src/components/MapView.tsx b/frontend/src/components/MapView.tsx new file mode 100644 index 0000000..9c2861c --- /dev/null +++ b/frontend/src/components/MapView.tsx @@ -0,0 +1,75 @@ +"use client"; + +import { useCallback, useState } from "react"; +import { + APIProvider, + Map, + AdvancedMarker, + InfoWindow, +} from "@vis.gl/react-google-maps"; +import type { Restaurant } from "@/lib/api"; + +const SEOUL_CENTER = { lat: 37.5665, lng: 126.978 }; +const API_KEY = process.env.NEXT_PUBLIC_GOOGLE_MAPS_API_KEY || ""; + +interface MapViewProps { + restaurants: Restaurant[]; + onSelectRestaurant?: (r: Restaurant) => void; +} + +export default function MapView({ restaurants, onSelectRestaurant }: MapViewProps) { + const [selected, setSelected] = useState(null); + + const handleMarkerClick = useCallback( + (r: Restaurant) => { + setSelected(r); + onSelectRestaurant?.(r); + }, + [onSelectRestaurant] + ); + + return ( + + + {restaurants.map((r) => ( + handleMarkerClick(r)} + /> + ))} + + {selected && ( + setSelected(null)} + > +
+

{selected.name}

+ {selected.cuisine_type && ( +

{selected.cuisine_type}

+ )} + {selected.address && ( +

{selected.address}

+ )} + {selected.price_range && ( +

{selected.price_range}

+ )} + +
+ + )} + + + ); +} diff --git a/frontend/src/components/RestaurantDetail.tsx b/frontend/src/components/RestaurantDetail.tsx new file mode 100644 index 0000000..6163bdc --- /dev/null +++ b/frontend/src/components/RestaurantDetail.tsx @@ -0,0 +1,113 @@ +"use client"; + +import { useEffect, useState } from "react"; +import { api } from "@/lib/api"; +import type { Restaurant, VideoLink } from "@/lib/api"; +import ReviewSection from "@/components/ReviewSection"; + +interface RestaurantDetailProps { + restaurant: Restaurant; + onClose: () => void; +} + +export default function RestaurantDetail({ + restaurant, + onClose, +}: RestaurantDetailProps) { + const [videos, setVideos] = useState([]); + const [loading, setLoading] = useState(true); + + useEffect(() => { + setLoading(true); + api + .getRestaurantVideos(restaurant.id) + .then(setVideos) + .catch(() => setVideos([])) + .finally(() => setLoading(false)); + }, [restaurant.id]); + + return ( +
+
+

{restaurant.name}

+ +
+ +
+ {restaurant.cuisine_type && ( +

+ 종류: {restaurant.cuisine_type} +

+ )} + {restaurant.address && ( +

+ 주소: {restaurant.address} +

+ )} + {restaurant.region && ( +

+ 지역: {restaurant.region} +

+ )} + {restaurant.price_range && ( +

+ 가격대: {restaurant.price_range} +

+ )} +
+ +
+

관련 영상

+ {loading ? ( +

로딩 중...

+ ) : videos.length === 0 ? ( +

관련 영상이 없습니다

+ ) : ( +
+ {videos.map((v) => ( +
+ + {v.title} + + {v.foods_mentioned.length > 0 && ( +
+ {v.foods_mentioned.map((f, i) => ( + + {f} + + ))} +
+ )} + {v.evaluation?.text && ( +

+ {v.evaluation.text} +

+ )} + {v.guests.length > 0 && ( +

+ 게스트: {v.guests.join(", ")} +

+ )} +
+ ))} +
+ )} +
+ + +
+ ); +} diff --git a/frontend/src/components/RestaurantList.tsx b/frontend/src/components/RestaurantList.tsx new file mode 100644 index 0000000..0e86b05 --- /dev/null +++ b/frontend/src/components/RestaurantList.tsx @@ -0,0 +1,44 @@ +"use client"; + +import type { Restaurant } from "@/lib/api"; + +interface RestaurantListProps { + restaurants: Restaurant[]; + selectedId?: string; + onSelect: (r: Restaurant) => void; +} + +export default function RestaurantList({ + restaurants, + selectedId, + onSelect, +}: RestaurantListProps) { + if (!restaurants.length) { + return ( +
+ 표시할 식당이 없습니다 +
+ ); + } + + return ( +
+ {restaurants.map((r) => ( + + ))} +
+ ); +} diff --git a/frontend/src/components/ReviewSection.tsx b/frontend/src/components/ReviewSection.tsx new file mode 100644 index 0000000..f116c15 --- /dev/null +++ b/frontend/src/components/ReviewSection.tsx @@ -0,0 +1,304 @@ +"use client"; + +import { useCallback, useEffect, useState } from "react"; +import { api } from "@/lib/api"; +import type { Review } from "@/lib/api"; +import { useAuth } from "@/lib/auth-context"; + +interface ReviewSectionProps { + restaurantId: string; +} + +function StarDisplay({ rating }: { rating: number }) { + const stars = []; + for (let i = 1; i <= 5; i++) { + if (rating >= i) { + stars.push( + + ★ + + ); + } else if (rating >= i - 0.5) { + stars.push( + + ★ + + ); + } else { + stars.push( + + ★ + + ); + } + } + return {stars}; +} + +function StarSelector({ + value, + onChange, +}: { + value: number; + onChange: (v: number) => void; +}) { + return ( +
+ 별점: + {[0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5].map((v) => ( + + ))} +
+ ); +} + +function ReviewForm({ + initialRating = 3, + initialText = "", + initialDate = "", + onSubmit, + onCancel, + submitLabel, +}: { + initialRating?: number; + initialText?: string; + initialDate?: string; + onSubmit: (data: { + rating: number; + review_text?: string; + visited_at?: string; + }) => Promise; + onCancel: () => void; + submitLabel: string; +}) { + const [rating, setRating] = useState(initialRating); + const [text, setText] = useState(initialText); + const [visitedAt, setVisitedAt] = useState(initialDate); + const [submitting, setSubmitting] = useState(false); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + setSubmitting(true); + try { + await onSubmit({ + rating, + review_text: text || undefined, + visited_at: visitedAt || undefined, + }); + } finally { + setSubmitting(false); + } + }; + + return ( +
+ +