diff --git a/agent/agent.py b/agent/agent.py index 2eca46d..1e73742 100644 --- a/agent/agent.py +++ b/agent/agent.py @@ -18,6 +18,8 @@ from typing import Union from langchain_core.agents import AgentAction, AgentFinish from langchain.agents.output_parsers import ReActSingleInputOutputParser from langchain.tools import Tool +from langgraph.checkpoint.memory import MemorySaver +from langgraph.prebuilt import create_react_agent import os def find_tool_by_name(tools: list[Tool],tool_name:str): @@ -27,15 +29,14 @@ def find_tool_by_name(tools: list[Tool],tool_name:str): print("\n\n") return tool raise ValueError(f"Tool with name {tool_name} not found") -def agent_call(event,context): - +def hello(event,context): llm = ChatBedrock( - model_id="arn:aws:bedrock:us-east-1:654654422992:application-inference-profile/d9blf0g3fzqz", + model_id="arn:aws:bedrock:us-east-1:654654422992:application-inference-profile/glvyppv11ds5", region_name="us-east-1", - aws_access_key_id=os.environ["AWS_ACCESS_KEY_ID"], - aws_secret_access_key=os.environ["AWS_SECRET_ACCESS_KEY"], - aws_session_token=os.environ["AWS_SESSION_TOKEN"], - model_kwargs={"temperature": 0, 'max_tokens': 1000,}, + #aws_access_key_id=os.environ["AWS_ACCESS_KEY_ID"], + #aws_secret_access_key=os.environ["AWS_SECRET_ACCESS_KEY"], + #aws_session_token=os.environ["AWS_SESSION_TOKEN"], + model_kwargs={"temperature": 0.1, 'max_tokens': 1000,}, provider='anthropic' ) retriever = AmazonKnowledgeBasesRetriever( @@ -44,55 +45,22 @@ def agent_call(event,context): retrieval_config={"vectorSearchConfiguration": {"numberOfResults": 4}}, ) - -# Cria o retrieval chain - retrievertool=retriever.as_tool() - retrievertool.description="Baseando se numa query retorna trechos de editais de campus diferentes do instituto são paulo" - tools=[retrievertool] - template="""Você é um assistente para alunos de diversos campus diferentes do instituto federal de são paulo, sua função é responder perguntas - de forma mais eficiente possivel sobre editais, que pode ser acessados pela tool fornecida: - -{tools} - -Note que dependendo do Campus os editais são diferentes, então é mandatório saber o campus do aluno antes de devolver alguma informação. + memory = MemorySaver() + model = llm + tools = [retriever.as_tool()] + prompt="""Você é um assistente para alunos de diversos campus diferentes do instituto federal de são paulo, sua função é responder perguntas de forma mais eficiente possivel sobre editais, que pode ser acessados pela tool fornecida. + Note que dependendo do Campus os editais são diferentes, então é mandatório saber o campus do aluno antes de devolver alguma informação. Além disso existem editais válidos apenas para alunos do ensino médio, apaenas para ensino superior e para ambos. O edital difere também se o aluno já recebe algum auxílio ou é o primeiro. Obtenha a informação do edital mais recente que cumpra as condições. -Além disso leve em consideração o chat history fornecido. Responda baseando-se exclusivamente nos documentos retornados pela tool amazonknowledgebase retriever. Não crie informações de editais. -Use the following format: - -Question: the input question you must answer -Thought: you should always think about what to do and take your previous thougths into consideration -Action: the action to take, should be one of [{tool_names}] -Action Input: the input to the action -Observation: the result of the action -... (this Thought/Action/Action Input/Observation can repeat N times) -Thought: I now know the final answer -Final Answer: the final answer to the original input question - -Begin! -Question: {input} -Chat history:{chat_history} -Thought: {agent_scratchpad} -""" - prompt=PromptTemplate.from_template(template=template).partial(tools=render_text_description(tools), tool_names=','.join([t.name for t in tools])) - #llm=ChatOpenAI(model="gpt-4o-mini",temperature=0,stop_sequences=["\nObservation:"]) - intermediate_steps=[] - - agent= {"input": lambda x:x["input"],"agent_scratchpad": lambda x:format_log_to_str(x["agent_scratchpad"]),"chat_history":lambda x:x["chat_history"]}|prompt | llm - agent_step: Union[AgentAction,AgentFinish]=agent.invoke({"input": "Quanto é o valor do auxilio moradia?","agent_scratchpad":intermediate_steps,"chat_history":{"role":"user","content":"sou do campus sao paulo, ensino superior e não recebo auxílio ainda, estamos no primeiro semestre de 2025"}}) - #print(agent_step) - if isinstance(agent_step,AgentAction): - tool_name=agent_step.tool - tool_to_use=find_tool_by_name(tools,tool_name) - tool_input=agent_step.tool_input - observation=tool_to_use.func(str(tool_input)) - print(f"{observation=}") - intermediate_steps.append((agent_step,str(observation))) - agent_step: Union[AgentAction,AgentFinish]=agent.invoke({"input": "Quanto é o valor do auxilio moradia?","agent_scratchpad":intermediate_steps,"chat_history":{"role":"user","content":"sou do campus sao paulo, ensino superior e não recebo auxílio ainda, estamos no primeiro semestre de 2025"}}) - return agent_step -def hello(event,context): - return{ - "statusCode":200, - "body":json.dumps("hello_world") - } -print(agent_call("","")) \ No newline at end of file +Além disso leve em consideração o chat history fornecido. Não crie informações de editais, apenas faça perguntas para o contexto e busque dos editais quando estiver com informações suficientes. Retorne o titulo do documento consultado, não o nome do arquivo. +Documentos com a sigla MTO são do campus matão. Documentos com a sigla SPO são do campus são paulo. É imperativo não obeter documentos de outros campus que não sejam o solicitado, não use informações deles. Os valores, se estiverem em formato de tabela, se encontrarão após o tipo da modaldie (moradia,transporte e etc), nunca antes. Não é nescessário buscar informações dos editais se uma dúvida não for apresentada ou se houver uma informação importante faltando. +Use sempre os documentos mais recentes, atualmente estamos no segundo semestre de 2025. +Caso seja mencionado que um dos pais não é registrado isso significa que é trabalhador informal.""" + agent_executor = create_react_agent(model, tools, checkpointer=memory, prompt=prompt) + config = {"configurable": {"thread_id": "abc123"}} + input_message = event["message"] + #input_message=[{"role":"user","content":"aluno superior, nunca recebi auxilio, campus são paulo, Meu pai não é registrado, como faço para ganhar auxilio?"}] + response="" + for step in agent_executor.stream({"messages": input_message}, config, stream_mode="values"): + response={"json":(step["messages"][-1].text())} + return (response) \ No newline at end of file diff --git a/agent/poetry.lock b/agent/poetry.lock index 99b58f2..c78a633 100644 --- a/agent/poetry.lock +++ b/agent/poetry.lock @@ 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b/agent/pyproject.toml index 766a392..a52d45e 100644 --- a/agent/pyproject.toml +++ b/agent/pyproject.toml @@ -12,6 +12,7 @@ langchain = "^0.3.27" boto3 = "^1.40.19" langchain-aws = "^0.2.31" dotenv = "^0.9.9" +langgraph = "^0.6.7" [build-system] diff --git a/agent/requirements.txt b/agent/requirements.txt index 9ec0a2c..1734f8d 100644 --- a/agent/requirements.txt +++ b/agent/requirements.txt @@ -1,4 +1,5 @@ langchain_core langchain langchain_aws +langgraph diff --git a/front/Dockerfile b/front/Dockerfile new file mode 100644 index 0000000..682030b --- /dev/null +++ b/front/Dockerfile @@ -0,0 +1,37 @@ +# Use uma imagem base Python oficial. +# Escolha uma versão que seja compatível com suas dependências. +FROM python:3.12-slim + +# Copia os arquivos de requisitos primeiro para aproveitar o cache do Docker +COPY requirements.txt ./requirements.txt + +# Instala as dependências do backend +RUN pip install --no-cache-dir -r requirements.txt + +# Copia o restante dos diretórios e arquivos da aplicação + +COPY ./ ./ + +# Garante que o script de inicialização seja executável +RUN chmod +x ./entrypoint.sh + +# Cria os diretórios que a API FastAPI pode precisar (se eles não existirem) +# Estes diretórios serão usados para persistência se volumes forem montados. +#RUN mkdir -p /app/faiss_index_store && \ +# mkdir -p /app/uploaded_pdfs + +# Expõe as portas que os aplicativos usarão +# Porta 8000 para a API FastAPI +EXPOSE 8000 +# Porta 8501 para o aplicativo Streamlit +EXPOSE 8501 + +# Define a variável de ambiente GROQ_API_KEY. +# É ALTAMENTE RECOMENDADO passar esta variável em tempo de execução +# em vez de embuti-la aqui por questões de segurança. +# Exemplo: docker run -e GROQ_API_KEY="sua_chave_aqui" ... +# ENV GROQ_API_KEY="SUA_CHAVE_GROQ_AQUI_SE_NECESSARIO_MAS_NAO_RECOMENDADO_EMBUTIR" + +# Comando para executar quando o contêiner iniciar +# Executa o script start.sh que gerencia os dois processos +CMD ["./entrypoint.sh"] diff --git a/front/app/__pycache__/st_auth.cpython-312.pyc b/front/app/__pycache__/st_auth.cpython-312.pyc new file mode 100644 index 0000000..b7ae33a Binary files /dev/null and b/front/app/__pycache__/st_auth.cpython-312.pyc differ diff --git a/front/app/front.py b/front/app/front.py new file mode 100644 index 0000000..fcc43ea --- /dev/null +++ b/front/app/front.py @@ -0,0 +1,49 @@ +import streamlit as st +from typing import Set +import requests +import json +import yaml +import st_auth +import boto3 + +authenticator=st_auth.get_authenticator() +from botocore.exceptions import ClientError + +st_auth.st_authenticate(authenticator) +st.header("Chatbot Editais") +url="https://dcrwpxp8lj-vpce-08d695f6315d510eb.execute-api.us-east-1.amazonaws.com/dev" +payload=[] +message_history=[] +if "user_prompt_history" not in st.session_state: + st.session_state["user_prompt_history"]=[] +if "chat_answer_history" not in st.session_state: + st.session_state["chat_answer_history"]=[] +if "chat_history" not in st.session_state: + st.session_state["chat_history"] = [] +prompt=st.text_input("Prompt",placeholder="Enter your prompt here..") +def create_sources_string(source_urls: Set[str])->str: + if not source_urls: + return "" + source_list=list(source_urls) + source_list.sort() + sources_string="source:\n" + for i, source in enumerate(source_list): + sources_string+=f"{i+1}, {source}\n" + return sources_string +if prompt: + with st.spinner("Generating response.."): + payload=st.session_state["chat_history"]+[{"role":"user","content":prompt}] + content={"message":payload} + headers={"Content-type":"application/json","x-api-key":json.loads(st_auth.get_secret())['api-gateway-api-key']} + generated_response=json.loads(requests.post(url,json=content,headers=headers).text)['json'] + #generated_response=[{"role":"user","content":prompt}] + # sources= set([doc.metadata["source"] for doc in generated_response['context']]) + #formatted_response=f"{generated_response['answer']} \n\n {create_sources_string(sources)}" + formatted_response=generated_response + st.session_state["user_prompt_history"].append(prompt) + st.session_state["chat_answer_history"].append(formatted_response) + st.session_state["chat_history"]=st.session_state["chat_history"]+[{"role":"user","content":prompt}] +if st.session_state["chat_answer_history"]: + for generated_response, user_query in zip(st.session_state["chat_answer_history"],st.session_state["user_prompt_history"]): + st.chat_message("user").write(user_query) + st.chat_message("assistant").write(generated_response) \ No newline at end of file diff --git a/front/app/st_auth.py b/front/app/st_auth.py new file mode 100644 index 0000000..a8fb8ed --- /dev/null +++ b/front/app/st_auth.py @@ -0,0 +1,102 @@ +import streamlit_authenticator as stauth +import yaml +from yaml.loader import SafeLoader +import streamlit as st +import boto3 +from botocore.exceptions import ClientError +def get_authenticator(): + # with open('.streamlit/users.yaml') as file: + # cred_config = yaml.load(file, Loader=SafeLoader) + + file_content = read_text_file_from_s3('chatbot-editais-auth', 'config.yaml') + # Parse the YAML content safely + cred_config = yaml.safe_load(file_content) + + # Pre-hashing all plain text passwords once + # hash_credentials = stauth.Hasher.hash_passwords(config['credentials']) + + authenticator = stauth.Authenticate( + cred_config['credentials'], + cred_config['cookie']['name'], + cred_config['cookie']['key'], + cred_config['cookie']['expiry_days'] + ) + return authenticator + +def st_authenticate(authenticator: stauth.Authenticate): + # authenticator = get_authenticator() + try: + authenticator.login( + location='sidebar', + fields=dict(Username="Usuário", + Password="Senha") + ) + except Exception as e: + st.error(e) + authenticator.cookie_controller.delete_cookie() + st.warning('Caso o erro persistir, tente recarregar a página.') + st.stop() + + if st.session_state['authentication_status']: + with st.sidebar: + st.write(f'Usuário: {st.session_state["name"]}') + authenticator.logout() + elif st.session_state['authentication_status'] is False: + with st.sidebar: + st.error('Usuário/senha incorreto') + st.stop() + elif st.session_state['authentication_status'] is None: + st.warning('Por favor, informe o seu usuário e senha no painel lateral') + st.stop() +def read_text_file_from_s3(bucket, key): + """ + Read a YAML file from an S3 bucket using provided AWS credentials. + + Args: + bucket (str): Name of the S3 bucket + key (str): Path to the YAML file in the bucket + aws_access_key_id (str): AWS Access Key ID + aws_secret_access_key (str): AWS Secret Access Key + + Returns: + dict: Parsed YAML content + """ + try: + # Create an S3 client + s3_client = boto3.client('s3') + + # Download the file from S3 + response = s3_client.get_object(Bucket=bucket, Key=key) + + # Read the file content + file_content = response['Body'].read().decode('utf-8') + + return file_content + + except Exception as e: + st.error(f"Error reading file from S3: {e}") + return None + +def get_secret(): + + secret_name = "dev/chatboteditais/apigateway/apikey" + region_name = "us-east-1" + + # Create a Secrets Manager client + session = boto3.session.Session() + client = session.client( + service_name='secretsmanager', + region_name=region_name + ) + + try: + get_secret_value_response = client.get_secret_value( + SecretId=secret_name + ) + except ClientError as e: + # For a list of exceptions thrown, see + # https://docs.aws.amazon.com/secretsmanager/latest/apireference/API_GetSecretValue.html + raise e + + secret = get_secret_value_response['SecretString'] + return secret \ No newline at end of file diff --git a/front/entrypoint.sh b/front/entrypoint.sh new file mode 100644 index 0000000..f67db42 --- /dev/null +++ b/front/entrypoint.sh @@ -0,0 +1,23 @@ +#!/bin/bash + +# Define o diretório base da aplicação dentro do contêiner +APP_DIR="/app" + +# Navega para o diretório do backend e inicia a API FastAPI em segundo plano +#echo "Iniciando API FastAPI na porta 8000..." +#python app/backend/main.py & + +# Aguarda alguns segundos para garantir que a API tenha tempo de iniciar +# Isso é opcional, mas pode ajudar a evitar problemas de conexão imediata do frontend +#echo "Aguardando a API iniciar..." +#sleep 10 # Ajuste o tempo conforme necessário + +# Navega para o diretório do frontend e inicia o aplicativo Streamlit em primeiro plano +echo "Iniciando aplicativo Streamlit na porta 8501..." +# --server.headless=true é importante para rodar Streamlit em ambientes sem GUI (como Docker) +# --server.address=0.0.0.0 permite que o Streamlit seja acessado de fora do contêiner +# --server.enableCORS=false pode ser necessário dependendo da configuração, mas geralmente não para localhost +streamlit run app/front.py --server.port 8501 --server.address 0.0.0.0 --server.headless true + +# O comando 'streamlit run' manterá o contêiner em execução. +# Se o Streamlit parar por algum motivo, o script e, consequentemente, o contêiner, terminarão. \ No newline at end of file diff --git a/front/poetry.lock b/front/poetry.lock new file mode 100644 index 0000000..0f2d600 --- /dev/null +++ b/front/poetry.lock @@ -0,0 +1,1633 @@ +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. + +[[package]] +name = "altair" +version = "5.5.0" +description = "Vega-Altair: A declarative statistical visualization library for Python." +optional = false +python-versions = ">=3.9" +files = [ + {file = "altair-5.5.0-py3-none-any.whl", hash = "sha256:91a310b926508d560fe0148d02a194f38b824122641ef528113d029fcd129f8c"}, + {file = "altair-5.5.0.tar.gz", hash = "sha256:d960ebe6178c56de3855a68c47b516be38640b73fb3b5111c2a9ca90546dd73d"}, +] + +[package.dependencies] +jinja2 = "*" +jsonschema = ">=3.0" +narwhals = ">=1.14.2" +packaging = "*" +typing-extensions = {version = ">=4.10.0", 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+[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/front/requirements.txt b/front/requirements.txt new file mode 100644 index 0000000..913db18 --- /dev/null +++ b/front/requirements.txt @@ -0,0 +1,5 @@ +streamlit +requests +pyyaml +boto3 +streamlit-authenticator \ No newline at end of file diff --git a/infra/Pulumi.ifsp-chatbot-editais-front-dev.yaml b/infra/Pulumi.ifsp-chatbot-editais-front-dev.yaml new file mode 100644 index 0000000..bc9b1f5 --- /dev/null +++ b/infra/Pulumi.ifsp-chatbot-editais-front-dev.yaml @@ -0,0 +1,9 @@ +config: + ifsp-chatbot-poc:entity_extraction_dev: ecr + ifsp-chatbot-poc:environment: dev + ifsp-chatbot-poc:ecr: + entity_extraction: + image_mutability: MUTABLE + name: br-edu-ifsp-ifsp-ret-ecr-front-chatbot-editais-dev + ifsp-chatbot-poc:project: chatbot-editais + aws:region: us-east-1 \ No newline at end of file diff --git a/infra/docs/MTO/MTO_PAP_2025_1.pdf b/infra/docs/MTO/MTO_PAP_2025_1.pdf deleted file 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a/infra/docs/SPO/SPO_Recadastramento_2025_1.pdf b/infra/docs/SPO/SPO_Recadastramento_2025_1.pdf deleted file mode 100644 index d75c303..0000000 Binary files a/infra/docs/SPO/SPO_Recadastramento_2025_1.pdf and /dev/null differ diff --git a/infra/docs/SPO/SPO_Recadastramento_2025_2.pdf b/infra/docs/SPO/SPO_Recadastramento_2025_2.pdf deleted file mode 100644 index 29ed2ac..0000000 Binary files a/infra/docs/SPO/SPO_Recadastramento_2025_2.pdf and /dev/null differ diff --git a/infra/ecs_and_alb b/infra/ecs_and_alb new file mode 160000 index 0000000..4cd98fb --- /dev/null +++ b/infra/ecs_and_alb @@ -0,0 +1 @@ +Subproject commit 4cd98fb65556e2e4c259c079d204516909359f1f diff --git a/infra/lambda_api_gateway b/infra/lambda_api_gateway new file mode 160000 index 0000000..1a13079 --- /dev/null +++ b/infra/lambda_api_gateway @@ -0,0 +1 @@ +Subproject commit 1a1307999ebaa56e1aad6f1be1034cf26a74c3dd