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from src.dev_pilot.LLMS.groqllm import GroqLLM
from src.dev_pilot.LLMS.geminillm import GeminiLLM
from src.dev_pilot.LLMS.openai_llm import OpenAILLM
from src.dev_pilot.graph.graph_builder import GraphBuilder
from src.dev_pilot.ui.uiconfigfile import Config
import src.dev_pilot.utils.constants as const
from src.dev_pilot.graph.graph_executor import GraphExecutor
from src.dev_pilot.state.sdlc_state import UserStoryList
import os
def initialize_session():
st.session_state.stage = const.PROJECT_INITILIZATION
st.session_state.project_name = ""
st.session_state.requirements = ""
st.session_state.task_id = ""
st.session_state.state = {}
def load_sidebar_ui(config):
user_controls = {}
with st.sidebar:
# Get options from config
llm_options = config.get_llm_options()
# LLM selection
user_controls["selected_llm"] = st.selectbox("Select LLM", llm_options)
if user_controls["selected_llm"] == 'Groq':
# Model selection
model_options = config.get_groq_model_options()
user_controls["selected_groq_model"] = st.selectbox("Select Model", model_options)
# API key input
os.environ["GROQ_API_KEY"] = user_controls["GROQ_API_KEY"] = st.session_state["GROQ_API_KEY"] = st.text_input("API Key",
type="password",
value=os.getenv("GROQ_API_KEY", ""))
# Validate API key
if not user_controls["GROQ_API_KEY"]:
st.warning("⚠️ Please enter your GROQ API key to proceed. Don't have? refer : https://console.groq.com/keys ")
if user_controls["selected_llm"] == 'Gemini':
# Model selection
model_options = config.get_gemini_model_options()
user_controls["selected_gemini_model"] = st.selectbox("Select Model", model_options)
# API key input
os.environ["GEMINI_API_KEY"] = user_controls["GEMINI_API_KEY"] = st.session_state["GEMINI_API_KEY"] = st.text_input("API Key",
type="password",
value=os.getenv("GEMINI_API_KEY", ""))
# Validate API key
if not user_controls["GEMINI_API_KEY"]:
st.warning("⚠️ Please enter your GEMINI API key to proceed. Don't have? refer : https://ai.google.dev/gemini-api/docs/api-key ")
if user_controls["selected_llm"] == 'OpenAI':
# Model selection
model_options = config.get_openai_model_options()
user_controls["selected_openai_model"] = st.selectbox("Select Model", model_options)
# API key input
os.environ["OPENAI_API_KEY"] = user_controls["OPENAI_API_KEY"] = st.session_state["OPENAI_API_KEY"] = st.text_input("API Key",
type="password",
value=os.getenv("OPENAI_API_KEY", ""))
# Validate API key
if not user_controls["OPENAI_API_KEY"]:
st.warning("⚠️ Please enter your OPENAI API key to proceed. Don't have? refer : https://platform.openai.com/api-keys ")
if st.button("Reset Session"):
for key in list(st.session_state.keys()):
del st.session_state[key]
initialize_session()
st.rerun()
st.subheader("Workflow Overview")
st.image("workflow_graph.png")
return user_controls
def load_streamlit_ui(config):
st.set_page_config(page_title=config.get_page_title(), layout="wide")
st.header(config.get_page_title())
st.subheader("Let AI agents plan your SDLC journey", divider="rainbow", anchor=False)
user_controls = load_sidebar_ui(config)
return user_controls
## Main Entry Point
def load_app():
"""
Main entry point for the Streamlit app using tab-based UI.
"""
config = Config()
if 'stage' not in st.session_state:
initialize_session()
user_input = load_streamlit_ui(config)
if not user_input:
st.error("Error: Failed to load user input from the UI.")
return
try:
# Configure LLM
selectedLLM = user_input.get("selected_llm")
model = None
if selectedLLM == "Gemini":
obj_llm_config = GeminiLLM(user_controls_input=user_input)
model = obj_llm_config.get_llm_model()
elif selectedLLM == "Groq":
obj_llm_config = GroqLLM(user_controls_input=user_input)
model = obj_llm_config.get_llm_model()
elif selectedLLM == "OpenAI":
obj_llm_config = OpenAILLM(user_controls_input=user_input)
model = obj_llm_config.get_llm_model()
if not model:
st.error("Error: LLM model could not be initialized.")
return
## Graph Builder
graph_builder = GraphBuilder(model)
try:
graph = graph_builder.setup_graph()
graph_executor = GraphExecutor(graph)
except Exception as e:
st.error(f"Error: Graph setup failed - {e}")
return
# Create tabs for different stages
tabs = st.tabs(["Project Requirement", "User Stories", "Design Documents", "Code Generation", "Test Cases", "QA Testing", "Deployment", "Download Artifacts"])
# ---------------- Tab 1: Project Requirement ----------------
with tabs[0]:
st.header("Project Requirement")
project_name = st.text_input("Enter the project name:", value=st.session_state.get("project_name", ""))
st.session_state.project_name = project_name
if st.session_state.stage == const.PROJECT_INITILIZATION:
if st.button("🚀 Let's Start"):
if not project_name:
st.error("Please enter a project name.")
st.stop()
graph_response = graph_executor.start_workflow(project_name)
st.session_state.task_id = graph_response["task_id"]
st.session_state.state = graph_response["state"]
st.session_state.project_name = project_name
st.session_state.stage = const.REQUIREMENT_COLLECTION
st.rerun()
# If stage has progressed beyond initialization, show requirements input and details.
if st.session_state.stage in [const.REQUIREMENT_COLLECTION, const.GENERATE_USER_STORIES]:
requirements_input = st.text_area(
"Enter the requirements. Write each requirement on a new line:",
value="\n".join(st.session_state.get("requirements", []))
)
if st.button("Submit Requirements"):
requirements = [req.strip() for req in requirements_input.split("\n") if req.strip()]
st.session_state.requirements = requirements
if not requirements:
st.error("Please enter at least one requirement.")
else:
st.success("Project details saved successfully!")
st.subheader("Project Details:")
st.write(f"**Project Name:** {st.session_state.project_name}")
st.subheader("Requirements:")
for req in requirements:
st.write(req)
graph_response = graph_executor.generate_stories(st.session_state.task_id, requirements)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.GENERATE_USER_STORIES
st.rerun()
# ---------------- Tab 2: User Stories ----------------
with tabs[1]:
st.header("User Stories")
if "user_stories" in st.session_state.state:
user_story_list = st.session_state.state["user_stories"]
st.divider()
st.subheader("Generated User Stories")
if isinstance(user_story_list, UserStoryList):
for story in user_story_list.user_stories:
unique_id = f"US-{story.id:03}"
with st.container():
st.markdown(f"#### {story.title} ({unique_id})")
st.write(f"**Priority:** {story.priority}")
st.write(f"**Description:** {story.description}")
st.write(f"**Acceptance Criteria:**")
st.markdown(story.acceptance_criteria.replace("\n", "<br>"), unsafe_allow_html=True)
st.divider()
# User Story Review Stage.
if st.session_state.stage == const.GENERATE_USER_STORIES:
st.subheader("Review User Stories")
feedback_text = st.text_area("Provide feedback for improving the user stories (optional):")
col1, col2 = st.columns(2)
with col1:
if st.button("✅ Approve User Stories"):
st.success("✅ User stories approved.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="approved", feedback=None, review_type=const.REVIEW_USER_STORIES
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.CREATE_DESIGN_DOC
## For Testing
# st.session_state.stage = const.CODE_GENERATION
with col2:
if st.button("✍️ Give User Stories Feedback"):
if not feedback_text.strip():
st.warning("⚠️ Please enter feedback before submitting.")
else:
st.info("🔄 Sending feedback to revise user stories.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="feedback", feedback=feedback_text.strip(),review_type=const.REVIEW_USER_STORIES
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.GENERATE_USER_STORIES
st.rerun()
else:
st.info("User stories generation pending or not reached yet.")
# ---------------- Tab 3: Design Documents ----------------
with tabs[2]:
st.header("Design Documents")
if st.session_state.stage == const.CREATE_DESIGN_DOC:
graph_response = graph_executor.get_updated_state(st.session_state.task_id)
st.session_state.state = graph_response["state"]
if "design_documents" in st.session_state.state:
design_doc = st.session_state.state["design_documents"]
st.subheader("Functional Design Document")
st.markdown(design_doc.get("functional", "No functional design document available."))
st.subheader("Technical Design Document")
st.markdown(design_doc.get("technical", "No technical design document available."))
# Design Document Review Stage.
st.divider()
st.subheader("Review Design Documents")
feedback_text = st.text_area("Provide feedback for improving the design documents (optional):")
col1, col2 = st.columns(2)
with col1:
if st.button("✅ Approve Design Documents"):
st.success("✅ Design documents approved.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="approved", feedback=None, review_type=const.REVIEW_DESIGN_DOCUMENTS
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.CODE_GENERATION
with col2:
if st.button("✍️ Give Design Documents Feedback"):
if not feedback_text.strip():
st.warning("⚠️ Please enter feedback before submitting.")
else:
st.info("🔄 Sending feedback to revise design documents.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="feedback", feedback=feedback_text.strip(),review_type=const.REVIEW_DESIGN_DOCUMENTS
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.CREATE_DESIGN_DOC
st.rerun()
else:
st.info("Design document generation pending or not reached yet.")
# ---------------- Tab 4: Coding ----------------
with tabs[3]:
st.header("Code Genearation")
if st.session_state.stage in [const.CODE_GENERATION, const.SECURITY_REVIEW]:
graph_response = graph_executor.get_updated_state(st.session_state.task_id)
st.session_state.state = graph_response["state"]
if "code_generated" in st.session_state.state:
code_generated = st.session_state.state["code_generated"]
st.subheader("Code Files")
st.markdown(code_generated)
st.divider()
if st.session_state.stage == const.CODE_GENERATION:
review_type = const.REVIEW_CODE
elif st.session_state.stage == const.SECURITY_REVIEW:
if "security_recommendations" in st.session_state.state:
security_recommendations = st.session_state.state["security_recommendations"]
st.subheader("Security Recommendations")
st.markdown(security_recommendations)
review_type = const.REVIEW_SECURITY_RECOMMENDATIONS
# Code Review Stage.
st.divider()
st.subheader("Review Details")
if st.session_state.stage == const.CODE_GENERATION:
feedback_text = st.text_area("Provide feedback (optional):")
col1, col2 = st.columns(2)
with col1:
if st.button("✅ Approve Code"):
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="approved", feedback=None, review_type=review_type
)
st.session_state.state = graph_response["state"]
if st.session_state.stage == const.CODE_GENERATION:
st.session_state.stage = const.SECURITY_REVIEW
st.rerun()
elif st.session_state.stage == const.SECURITY_REVIEW:
st.session_state.stage = const.WRITE_TEST_CASES
with col2:
if st.session_state.stage == const.SECURITY_REVIEW:
if st.button("✍️ Implment Security Recommendations"):
st.info("🔄 Sending feedback to revise code generation.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="feedback", feedback=None, review_type=review_type
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.CODE_GENERATION
st.rerun()
else:
if st.button("✍️ Give Feedback"):
if not feedback_text.strip():
st.warning("⚠️ Please enter feedback before submitting.")
else:
st.info("🔄 Sending feedback to revise code generation.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="feedback", feedback=feedback_text.strip(),review_type=review_type
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.CODE_GENERATION
st.rerun()
else:
st.info("Code generation pending or not reached yet.")
# ---------------- Tab 5: Test Cases ----------------
with tabs[4]:
st.header("Test Cases")
if st.session_state.stage == const.WRITE_TEST_CASES:
graph_response = graph_executor.get_updated_state(st.session_state.task_id)
st.session_state.state = graph_response["state"]
if "test_cases" in st.session_state.state:
test_cases = st.session_state.state["test_cases"]
st.markdown(test_cases)
# Test Cases Review Stage.
st.divider()
st.subheader("Review Test Cases")
feedback_text = st.text_area("Provide feedback for improving the test cases (optional):")
col1, col2 = st.columns(2)
with col1:
if st.button("✅ Approve Test Cases"):
st.success("✅ Test cases approved.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="approved", feedback=None, review_type=const.REVIEW_TEST_CASES
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.QA_TESTING
with col2:
if st.button("✍️ Give Test Cases Feedback"):
if not feedback_text.strip():
st.warning("⚠️ Please enter feedback before submitting.")
else:
st.info("🔄 Sending feedback to revise test cases.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="feedback", feedback=feedback_text.strip(),review_type=const.REVIEW_TEST_CASES
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.WRITE_TEST_CASES
st.rerun()
else:
st.info("Test Cases generation pending or not reached yet.")
# ---------------- Tab 6: QA Testing ----------------
with tabs[5]:
st.header("QA Testing")
if st.session_state.stage == const.QA_TESTING:
graph_response = graph_executor.get_updated_state(st.session_state.task_id)
st.session_state.state = graph_response["state"]
if "qa_testing_comments" in st.session_state.state:
qa_testing = st.session_state.state["qa_testing_comments"]
st.markdown(qa_testing)
# QA Testing Review Stage.
st.divider()
st.subheader("Review QA Testing Comments")
col1, col2 = st.columns(2)
with col1:
if st.button("✅ Approve Testing"):
st.success("✅ QA Testing approved.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="approved", feedback=None, review_type=const.REVIEW_QA_TESTING
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.DEPLOYMENT
with col2:
if st.button("✍️ Fix testing issues"):
st.info("🔄 Sending feedback to revise code.")
graph_response = graph_executor.graph_review_flow(
st.session_state.task_id, status="feedback", feedback=feedback_text.strip(),review_type=const.REVIEW_QA_TESTING
)
st.session_state.state = graph_response["state"]
st.session_state.stage = const.CODE_GENERATION
st.rerun()
else:
st.info("QA Testing Report generation pending or not reached yet.")
# ---------------- Tab 7: Deployment ----------------
with tabs[6]:
st.header("Deployment")
if st.session_state.stage == const.DEPLOYMENT:
graph_response = graph_executor.get_updated_state(st.session_state.task_id)
st.session_state.state = graph_response["state"]
if "deployment_feedback" in st.session_state.state:
deployment_feedback = st.session_state.state["deployment_feedback"]
st.markdown(deployment_feedback)
st.session_state.stage = const.ARTIFACTS
else:
st.info("Deplopment verification pending or not reached yet.")
# ---------------- Tab 8: Artifacts ----------------
with tabs[7]:
st.header("Artifacts")
if "artifacts" in st.session_state.state and st.session_state.state["artifacts"]:
st.subheader("Download Artifacts")
for artifact_name, artifact_path in st.session_state.state["artifacts"].items():
if artifact_path:
try:
with open(artifact_path, "rb") as f:
file_bytes = f.read()
st.download_button(
label=f"Download {artifact_name}",
data=file_bytes,
file_name=os.path.basename(artifact_path),
mime="application/octet-stream"
)
except Exception as e:
st.error(f"Error reading {artifact_name}: {e}")
else:
st.info(f"{artifact_name} not available.")
else:
st.info("No artifacts generated yet.")
except Exception as e:
raise ValueError(f"Error occured with Exception : {e}")
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