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# from fastapi import FastAPI
# from fastapi.middleware.cors import CORSMiddleware
# from pydantic import BaseModel
# from typing import List
# from run_pipeline import format_survey_context, parse_topics_to_preferences
# from retriever import DefaultRetriever
# from tour_generator import TourGuideGenerator
# from query_rewritter import generate_human_query
# #uvicorn tour_api:app --reload
# import sys
# import os
# sys.path.append(os.path.join(os.path.dirname(__file__), "src_ubc"))
# app = FastAPI()
# # Enable CORS
# app.add_middleware(
# CORSMiddleware,
# allow_origins=["*"], # or ["http://localhost:3000"] for stricter config
# allow_credentials=True,
# allow_methods=["*"],
# allow_headers=["*"],
# )
# class SurveyInput(BaseModel):
# major: str
# age_group: str
# class_subject: str
# topics_of_interest: List[str]
# exhibit_name: str
# tour_length_minutes: int
# additional_notes: str = ""
# @app.post("/generate")
# def generate_outputs(survey: SurveyInput):
# survey_dict = survey.dict()
# print("🧪 Survey Dict:", survey_dict)
# context = format_survey_context(survey_dict)
# print("📄 Context:", context)
# preferences = parse_topics_to_preferences(survey_dict["topics_of_interest"])
# print("🎯 Preferences:", preferences)
# preferences.exhibits = [survey_dict["exhibit_name"]]
# rewritten_query = generate_human_query(preferences)
# print("✏️ Rewritten Query:", rewritten_query)
# retriever = DefaultRetriever()
# relevant_chunks = retriever._retrieve_with_text(rewritten_query, preferences, k=5)
# print("📚 Retrieved Chunks:", relevant_chunks)
# generator = TourGuideGenerator()
# return {
# "itinerary": generator.generate(
# "itinerary",
# context,
# relevant_chunks,
# survey_id="api",
# tour_length_minutes=survey_dict["tour_length_minutes"]
# ),
# "talking_points": generator.generate(
# prompt_type="talking_points",
# context=context,
# exhibit_chunks=relevant_chunks,
# survey_id="api"
# ),
# "engagement_tips": generator.generate(
# prompt_type="engagement_tips",
# context=context,
# exhibit_chunks=relevant_chunks,
# survey_id="api"
# )
# }
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from typing import List
from backend.run_pipeline import format_survey_context, parse_topics_to_preferences
from backend.retriever import DefaultRetriever
from backend.tour_generator import TourGuideGenerator
from backend.query_rewritter import generate_human_query
import sys
import os
sys.path.append(os.path.join(os.path.dirname(__file__), "src_ubc"))
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # or ["http://localhost:3000"] for stricter config
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
class SurveyInput(BaseModel):
major: str
age_group: str
class_subject: str
topics_of_interest: List[str]
exhibit_name: str
tour_length_minutes: int
additional_notes: str = ""
@app.post("/generate")
def generate_outputs(survey: SurveyInput):
survey_dict = survey.dict()
print("🧪 Survey Dict:", survey_dict)
context = format_survey_context(survey_dict)
print("📄 Context:", context)
preferences = parse_topics_to_preferences(survey_dict["topics_of_interest"])
print("🎯 Preferences:", preferences)
preferences.exhibits = [survey_dict["exhibit_name"]]
rewritten_query = generate_human_query(preferences)
print("✏️ Rewritten Query:", rewritten_query)
retriever = DefaultRetriever()
relevant_chunks = retriever._retrieve_with_text(rewritten_query, preferences, k=5)
print("📚 Retrieved Chunks:", relevant_chunks)
generator = TourGuideGenerator()
return {
"itinerary": generator.generate(
prompt_type="itinerary",
context=context,
exhibit_chunks=relevant_chunks,
survey_id="api",
major=survey_dict["major"],
age_group=survey_dict["age_group"],
class_subject=survey_dict["class_subject"],
topics_of_interest=survey_dict["topics_of_interest"],
exhibit_name=survey_dict["exhibit_name"],
tour_length_minutes=survey_dict["tour_length_minutes"],
additional_notes=survey_dict["additional_notes"]
),
"talking_points": generator.generate(
prompt_type="talking_points",
context=context,
exhibit_chunks=relevant_chunks,
survey_id="api",
major=survey_dict["major"],
age_group=survey_dict["age_group"],
class_subject=survey_dict["class_subject"],
topics_of_interest=survey_dict["topics_of_interest"],
exhibit_name=survey_dict["exhibit_name"],
tour_length_minutes=survey_dict["tour_length_minutes"],
additional_notes=survey_dict["additional_notes"]
),
"engagement_tips": generator.generate(
prompt_type="engagement_tips",
context=context,
exhibit_chunks=relevant_chunks,
survey_id="api",
major=survey_dict["major"],
age_group=survey_dict["age_group"],
class_subject=survey_dict["class_subject"],
topics_of_interest=survey_dict["topics_of_interest"],
exhibit_name=survey_dict["exhibit_name"],
tour_length_minutes=survey_dict["tour_length_minutes"],
additional_notes=survey_dict["additional_notes"]
)
}
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