trygithubactions / main.py
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from fastapi import FastAPI , UploadFile , File , Form
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from brainstroming_agent.agent import brainstroming_graph
import pandas as pd
from typing import Optional , List
from context_analysis_agent.agent import IntroductionChatbot
from business_interaction_agent.agent import BusinessInteractionChatbot
from context_analysis_agent.utils.utils import save_to_db
import ast
from brainstroming_agent.utils.utils import encode_image_to_base64 , generate_final_story, generate_image
from idea_to_budget_agent.agent import budget_calculator
from ideation_agent.agent import ideation_graph
from langgraph.errors import GraphRecursionError
import json
# Store brainstorming results per thread_id
app = FastAPI()
context_analysis_graph = IntroductionChatbot()
business_interaction_graph = BusinessInteractionChatbot()
idea_graph = ideation_graph()
brainstrom_graph = brainstroming_graph()
stored_data={}
# stored_data['business_details']={"business_type": "fitness and gym", "platform": "instagram, tiktok", "target_audience": "every software needed clients", "business_goals": "to expand in every cities of nepal", "offerings": "nepali cloths and products", "Challenges_faced": "finding new customers, attracting large customers"}
stored_data['business_details'] = {
"business_type": "fitness and gym",
"platform": "Instagram, TikTok",
"target_audience": "young Nepali adults (ages 18–40) who are health-conscious and active on social media",
"business_goals": "to expand gym branches across all major cities of Nepal and build a strong fitness community",
"offerings": "personal training, group fitness classes, modern workout equipment, nutrition guidance, and wellness programs",
"Challenges_faced": "attracting loyal members, standing out in a competitive market, and promoting consistent engagement"
}
stored_data['final_ideation']= ['''A street magician performs tricks, leaving a crowd awestruck. One trick falters, inspiring him to hit the gym. Months later, he fuses fitness with magic, showcasing strength through performance, proving that transformation can captivate and inspire a community''',
'''A group of strangers attends a quirky food festival, each trying bizarre dishes. One adventurer finds a fitness coach among them. They bond over health, sparking a weekly workout group that brings the community together, blending fun and fitness effortlessly.''',
'''A lost hiker discovers a hidden waterfall, but slips on the rocks, nearly falling. A passing fitness enthusiast helps him up, encouraging regular exercise for safety and strength. Together, they start a hiking club, uniting fitness and nature lovers in their city''',
'''A lost hiker discovers a hidden waterfall, but slips on the rocks, nearly falling. A passing fitness enthusiast helps him up, encouraging regular exercise for safety and strength. Together, they start a hiking club, uniting fitness and nature lovers in their city.''']
class UserMessage(BaseModel):
message: str
@app.post("/context-analysis")
def context_analysis(msg: UserMessage):
response = context_analysis_graph.chat(msg.message)
if context_analysis_graph.is_complete(response):
details = context_analysis_graph.extract_details()
if type(details) != dict:
details = details.model_dump()
print('Business_details:',details)
if isinstance(details, str):
details= ast.literal_eval(details)
print('Details Type:',type(details))
save_to_db(details)
stored_data['business_details'] = details
return {"response": response, "business_details": details, "complete": True}
return {"response": response, "complete": False}
@app.post("/business-interaction")
def business_interaction(interaction: str):
response,business_details = business_interaction_graph.chat(interaction , stored_data['business_details'])
stored_data['business_details']=business_details
return {'response': response}
class IdeationRequest(BaseModel):
topic : List[str]
@app.post("/ideation")
def ideation_endpoint(request:IdeationRequest):
config={"recursion_limit":15, "configurable": {"thread_id": "ideation_thread123"}}
try:
result = idea_graph.invoke(
{
'topic': request.topic,
'business_details': [stored_data['business_details']]
},
config=config,
)
stored_data['final_ideation'] = result['improver_response'][-1]
stored_data['final_ideation']=ast.literal_eval(stored_data['final_ideation'])
return {'response':result}
except GraphRecursionError:
result = idea_graph.get_state({"configurable": {"thread_id": "ideation_thread123"}})
return {'response': result[0]}
class BudgetMappingRequest(BaseModel):
pass
@app.post("/budget-mapping")
def budget_mapping_endpoint():
result = budget_calculator(stored_data["business_details"],stored_data['final_ideation'])
return {'response':result}
class BrainstormRequest(BaseModel):
preferred_topics: Optional[list] = []
image_base64_list: Optional[list] = []
thread_id: Optional[str]="default-session"
@app.post("/brainstrom")
def brainstroming_endpoint(
request: BrainstormRequest, # 🔥 Full JSON body here
):
result = brainstrom_graph.invoke({
'topic': [stored_data['final_ideation'][0]],
'images': request.image_base64_list,
'latest_preferred_topics': request.preferred_topics,
'business_details': (lambda d: d['business_details'] if 'business_details' in d else {})(stored_data)
},
config={"configurable": {"thread_id": request.thread_id}})
stored_data['brainstroming_response'] = result
return {'response': result}
@app.post("/generate-final-story")
def generate_final_story_endpoint():
final_story = generate_final_story(stored_data["brainstroming_response"])
stored_data['final_story']=final_story
return {
'response': final_story
}
stored_data['final_story']= '''A cinematic journey follows a street magician\'s
metamorphosis from a mere trickster to a powerful performer, as he transforms his act with newfound physical strength, effortlessly executing death-defying stunts, and inspiring a captivated crowd to take action, all set against a
backdrop of urban grandeur and pulsing energy.'''
@app.post("/generate-image")
def generate_image_endpoint():
image = generate_image(str(stored_data['final_story']))
stored_data['generated_image']=image
return {
'response':image
}