release: version 0.4.1 🚀

.gitea/workflows/build_release.yml

@@ -4,6 +4,7 @@ permissions:
 
 env:
   SKIP_MAKE_SETUP_CHECK: 'true'
+  DOCKER_API_VERSION: '1.43'
 
 on:
   push:
@@ -49,11 +50,15 @@ jobs:
         fi
     - name: Login to Gitea container registry
       uses: docker/login-action@v3
+      env:
+        DOCKER_API_VERSION: ${{ env.DOCKER_API_VERSION }}
       with:
         username: gitearobot
         password: ${{ secrets.PACKAGE_GITEA_PAT }}
         registry: git.disi.dev
     - name: Build and publish
+      env:
+        DOCKER_API_VERSION: ${{ env.DOCKER_API_VERSION }}
       run: |
         REPOSITORY_OWNER=$(echo "$GITHUB_REPOSITORY" | awk -F '/' '{print $1}' | tr '[:upper:]' '[:lower:]')
         REPOSITORY_NAME=$(echo "$GITHUB_REPOSITORY" | awk -F '/' '{print $2}' | tr '-' '_')

.gitignore

@@ -0,0 +1 @@
+sqlite.db

Containerfile

@@ -40,4 +40,4 @@ HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
     CMD curl -f http://localhost:8000/health || exit 1
 
 # Run application
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]"]
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]

HISTORY.md

@@ -4,11 +4,138 @@ Changelog
 
 (unreleased)
 ------------
+- Fix(ci): pin docker api version for release builds refs NOISSUE.
+  [Simon Diesenreiter]
+
+
+0.4.0 (2026-04-10)
+------------------
+- Chore(git): ignore local sqlite database refs NOISSUE. [Simon
+  Diesenreiter]
+- Feat(factory): implement db-backed dashboard and workflow automation
+  refs NOISSUE. [Simon Diesenreiter]
+
+
+0.3.6 (2026-04-04)
+------------------
+
+Fix
+~~~
+- Rename gitea workflow, refs NOISSUE. [Simon Diesenreiter]
+
+Other
+~~~~~
+
+
+0.3.5 (2026-04-04)
+------------------
+
+Fix
+~~~
+- Some cleanup, refs NOISSUE. [Simon Diesenreiter]
+
+Other
+~~~~~
+
+
+0.3.4 (2026-04-04)
+------------------
+
+Fix
+~~~
+- Fix database init, refs NOISSUE. [Simon Diesenreiter]
+
+Other
+~~~~~
+
+
+0.3.3 (2026-04-04)
+------------------
+
+Fix
+~~~
+- Fix runtime errors, refs NOISSUE. [Simon Diesenreiter]
+
+Other
+~~~~~
+
+
+0.3.2 (2026-04-04)
+------------------
+
+Fix
+~~~
+- Add back DB init endpoints, ref NOISSUE. [Simon Diesenreiter]
+
+Other
+~~~~~
+
+
+0.3.1 (2026-04-04)
+------------------
+
+Fix
+~~~
+- Fix broken Docker build, refs NOISSUE. [Simon Diesenreiter]
+
+Other
+~~~~~
+
+
+0.3.0 (2026-04-04)
+------------------
+- Feat: dashboard via NiceGUI, refs NOISSUE. [Simon Diesenreiter]
+
+
+0.2.2 (2026-04-04)
+------------------
+
+Fix
+~~~
+- Add missing jijna2 reference, refs NOISSUE. [Simon Diesenreiter]
+
+Other
+~~~~~
+
+
+0.2.1 (2026-04-04)
+------------------
+
+Fix
+~~~
+- Make dashbaord work, refs NOISSUE. [Simon Diesenreiter]
+
+Other
+~~~~~
+
+
+0.2.0 (2026-04-04)
+------------------
+- Feat: Add Python-native dashboard and main.py cleanup, refs NOISSUE.
+  [Simon Diesenreiter]
+
+
+0.1.8 (2026-04-04)
+------------------
+
+Fix
+~~~
+- Broken python module references, refs NOISSUE. [Simon Diesenreiter]
+
+Other
+~~~~~
+
+
+0.1.7 (2026-04-04)
+------------------
 
 Fix
 ~~~
 - More bugfixes, refs NOISSUE. [Simon Diesenreiter]
 
+Other
+~~~~~
+
 
 0.1.6 (2026-04-04)
 ------------------

Makefile

@@ -1,5 +1,7 @@
 .ONESHELL:
 
+DOCKER_API_VERSION ?= 1.43
+
 .PHONY: issetup
 issetup:
 	@[ -f .git/hooks/commit-msg ] || [ -z ${SKIP_MAKE_SETUP_CHECK+x} ] || (echo "You must run 'make setup' first to initialize the repo!" && exit 1)
@@ -42,7 +44,7 @@ release: issetup         ## Create a new tag for release.
 
 .PHONY: build
 build: issetup          ## Create a new tag for release.
-	@docker build -t ai-software-factory:$(cat ai-software-factory/VERSION) -f Containerfile .
+	@DOCKER_API_VERSION=$(DOCKER_API_VERSION) docker build -t ai-software-factory:$(cat ai_software_factory/VERSION) -f Containerfile .
 
 # This project has been generated from rochacbruno/python-project-template
 #igest__ = 'rochacbruno'

README.md

@@ -65,7 +65,7 @@ TELEGRAM_CHAT_ID=your_chat_id
 
 ```bash
 # Build Docker image
-docker build -t ai-software-factory -f Containerfile .
+DOCKER_API_VERSION=1.43 docker build -t ai-software-factory -f Containerfile .
 
 # Run with Docker Compose
 docker-compose up -d

ai_software_factory/.nicegui/storage-user-7d0ab1e4-7155-403b-846e-26833486feae.json

@@ -0,0 +1 @@
+{"dark_mode":false}

ai_software_factory/.nicegui/storage-user-83c198f2-6838-4d94-a576-9934514d723b.json

@@ -0,0 +1 @@
+{"dark_mode":false}

ai_software_factory/Dockerfile

@@ -1,43 +0,0 @@
-# AI Software Factory Dockerfile
-FROM python:3.11-slim
-
-# Set environment variables
-ENV PYTHONDONTWRITEBYTECODE=1 \
-    PYTHONUNBUFFERED=1 \
-    PIP_NO_CACHE_DIR=1 \
-    PIP_DISABLE_PIP_VERSION_CHECK=1
-
-# Set work directory
-WORKDIR /app
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    curl \
-    && rm -rf /var/lib/apt/lists/*
-
-# Install dependencies
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Copy application code
-COPY . .
-
-# Set up environment file if it exists, otherwise use .env.example
-RUN if [ -f .env ]; then \
-        cat .env; \
-    elif [ -f .env.example ]; then \
-        cp .env.example .env; \
-    fi
-
-# Initialize database tables (use SQLite by default, can be overridden by DB_POOL_SIZE env var)
-RUN python database.py || true
-
-# Expose port
-EXPOSE 8000
-
-# Health check
-HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
-    CMD curl -f http://localhost:8000/health || exit 1
-
-# Run application
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]

ai_software_factory/Makefile

@@ -0,0 +1,28 @@
+.PHONY: help run-api run-frontend run-tests init-db clean
+
+help:
+	@echo "Available targets:"
+	@echo "  make run-api          - Run FastAPI app with NiceGUI frontend (default)"
+	@echo "  make run-tests        - Run pytest tests"
+	@echo "  make init-db          - Initialize database"
+	@echo "  make clean            - Remove container volumes"
+	@echo "  make rebuild          - Rebuild and run container"
+
+run-api:
+	@echo "Starting FastAPI app with NiceGUI frontend..."
+	@bash start.sh dev
+
+run-frontend:
+	@echo "NiceGUI is now integrated with FastAPI - use 'make run-api' to start everything together"
+
+run-tests:
+	pytest -v
+
+init-db:
+	@python -c "from main import app; from database import init_db; init_db()"
+
+clean:
+	@echo "Cleaning up..."
+	@docker-compose down -v
+
+rebuild: clean run-api

ai_software_factory/VERSION

@@ -1 +1 @@
-0.1.7
+0.4.1

ai_software_factory/agents/__init__.py

@@ -1,11 +1,11 @@
 """AI Software Factory agents."""
 
-from ai_software_factory.agents.orchestrator import AgentOrchestrator
-from ai_software_factory.agents.git_manager import GitManager
-from ai_software_factory.agents.ui_manager import UIManager
-from ai_software_factory.agents.telegram import TelegramHandler
-from ai_software_factory.agents.gitea import GiteaAPI
-from ai_software_factory.agents.database_manager import DatabaseManager
+from agents.orchestrator import AgentOrchestrator
+from agents.git_manager import GitManager
+from agents.ui_manager import UIManager
+from agents.telegram import TelegramHandler
+from agents.gitea import GiteaAPI
+from agents.database_manager import DatabaseManager
 
 __all__ = [
     "AgentOrchestrator",

ai_software_factory/agents/database_manager.py

@@ -2,10 +2,33 @@
 
 from sqlalchemy.orm import Session
 from sqlalchemy import text
-from ai_software_factory.database import get_db
-from ai_software_factory.models import (
-    ProjectHistory, ProjectLog, UISnapshot, PullRequestData, SystemLog, UserAction, AuditTrail, PullRequest, ProjectStatus
-)
+
+try:
+    from ..models import (
+        AuditTrail,
+        ProjectHistory,
+        ProjectLog,
+        ProjectStatus,
+        PromptCodeLink,
+        PullRequest,
+        PullRequestData,
+        SystemLog,
+        UISnapshot,
+        UserAction,
+    )
+except ImportError:
+    from models import (
+        AuditTrail,
+        ProjectHistory,
+        ProjectLog,
+        ProjectStatus,
+        PromptCodeLink,
+        PullRequest,
+        PullRequestData,
+        SystemLog,
+        UISnapshot,
+        UserAction,
+    )
 from datetime import datetime
 import json
 
@@ -61,6 +84,21 @@ class DatabaseManager:
         self.db = db
         self.migrations = DatabaseMigrations(self.db)
 
+    @staticmethod
+    def _normalize_metadata(metadata: object) -> dict:
+        """Normalize JSON-like metadata stored in audit columns."""
+        if metadata is None:
+            return {}
+        if isinstance(metadata, dict):
+            return metadata
+        if isinstance(metadata, str):
+            try:
+                parsed = json.loads(metadata)
+                return parsed if isinstance(parsed, dict) else {"value": parsed}
+            except json.JSONDecodeError:
+                return {"value": metadata}
+        return {"value": metadata}
+
     def log_project_start(self, project_id: str, project_name: str, description: str) -> ProjectHistory:
         """Log project start."""
         history = ProjectHistory(
@@ -87,6 +125,63 @@ class DatabaseManager:
 
         return history
 
+    def log_prompt_submission(
+        self,
+        history_id: int,
+        project_id: str,
+        prompt_text: str,
+        features: list[str] | None = None,
+        tech_stack: list[str] | None = None,
+        actor_name: str = "api",
+        actor_type: str = "user",
+        source: str = "generate-endpoint",
+    ) -> AuditTrail | None:
+        """Persist the originating prompt so later code changes can be correlated to it."""
+        history = self.db.query(ProjectHistory).filter(ProjectHistory.id == history_id).first()
+        if not history:
+            return None
+
+        feature_list = features or []
+        tech_list = tech_stack or []
+        history.features = json.dumps(feature_list)
+        history.current_step_description = "Prompt accepted"
+        history.current_step_details = prompt_text
+        self.db.commit()
+
+        self.log_user_action(
+            history_id=history_id,
+            action_type="PROMPT_SUBMITTED",
+            actor_type=actor_type,
+            actor_name=actor_name,
+            action_description="Submitted software generation request",
+            action_data={
+                "prompt": prompt_text,
+                "features": feature_list,
+                "tech_stack": tech_list,
+                "source": source,
+            },
+        )
+
+        audit = AuditTrail(
+            project_id=project_id,
+            action="PROMPT_RECEIVED",
+            actor=actor_name,
+            action_type="PROMPT",
+            details=prompt_text,
+            message="Software generation prompt received",
+            metadata_json={
+                "history_id": history_id,
+                "prompt_text": prompt_text,
+                "features": feature_list,
+                "tech_stack": tech_list,
+                "source": source,
+            },
+        )
+        self.db.add(audit)
+        self.db.commit()
+        self.db.refresh(audit)
+        return audit
+
     def log_progress_update(self, history_id: int, progress: int, step: str, message: str) -> None:
         """Log progress update."""
         history = self.db.query(ProjectHistory).filter(
@@ -121,6 +216,8 @@ class DatabaseManager:
 
         if history:
             history.status = ProjectStatus.COMPLETED.value
+            history.progress = 100
+            history.current_step = "Completed"
             history.completed_at = datetime.utcnow()
             history.message = message
             self.db.commit()
@@ -300,7 +397,7 @@ class DatabaseManager:
                 "actor": audit.actor,
                 "action_type": audit.action_type,
                 "details": audit.details,
-                "metadata_json": audit.metadata_json,
+                "metadata_json": self._normalize_metadata(audit.metadata_json),
                 "timestamp": audit.created_at.isoformat() if audit.created_at else None
             }
             for audit in audits
@@ -317,7 +414,7 @@ class DatabaseManager:
                 "actor": audit.actor,
                 "action_type": audit.action_type,
                 "details": audit.details,
-                "metadata_json": audit.metadata_json,
+                "metadata_json": self._normalize_metadata(audit.metadata_json),
                 "timestamp": audit.created_at.isoformat() if audit.created_at else None
             }
             for audit in audits
@@ -387,7 +484,9 @@ class DatabaseManager:
         ]
 
     def log_code_change(self, project_id: str, change_type: str, file_path: str,
-                        actor: str, actor_type: str, details: str) -> AuditTrail:
+                        actor: str, actor_type: str, details: str,
+                        history_id: int | None = None, prompt_id: int | None = None,
+                        diff_summary: str | None = None) -> AuditTrail:
         """Log a code change."""
         audit = AuditTrail(
             project_id=project_id,
@@ -396,12 +495,168 @@ class DatabaseManager:
             action_type=change_type,
             details=f"File {file_path} {change_type}",
             message=f"Code change: {file_path}",
-            metadata_json=json.dumps({"file": file_path, "change_type": change_type, "actor": actor})
+            metadata_json={
+                "file": file_path,
+                "change_type": change_type,
+                "actor": actor,
+                "actor_type": actor_type,
+                "history_id": history_id,
+                "prompt_id": prompt_id,
+                "details": details,
+                "diff_summary": diff_summary,
+            }
         )
         self.db.add(audit)
         self.db.commit()
+        self.db.refresh(audit)
+
+        if history_id is not None and prompt_id is not None:
+            link = PromptCodeLink(
+                history_id=history_id,
+                project_id=project_id,
+                prompt_audit_id=prompt_id,
+                code_change_audit_id=audit.id,
+                file_path=file_path,
+                change_type=change_type,
+            )
+            self.db.add(link)
+            self.db.commit()
         return audit
 
+    def get_prompt_change_links(self, project_id: str | None = None, limit: int = 200) -> list[dict]:
+        """Return stored prompt/code lineage rows."""
+        query = self.db.query(PromptCodeLink)
+        if project_id:
+            query = query.filter(PromptCodeLink.project_id == project_id)
+        links = query.order_by(PromptCodeLink.created_at.desc()).limit(limit).all()
+        return [
+            {
+                "id": link.id,
+                "history_id": link.history_id,
+                "project_id": link.project_id,
+                "prompt_audit_id": link.prompt_audit_id,
+                "code_change_audit_id": link.code_change_audit_id,
+                "file_path": link.file_path,
+                "change_type": link.change_type,
+                "created_at": link.created_at.isoformat() if link.created_at else None,
+            }
+            for link in links
+        ]
+
+    def _build_correlations_from_links(self, project_id: str | None = None, limit: int = 100) -> list[dict]:
+        """Build prompt-change correlations from explicit lineage rows."""
+        prompt_events = self.get_prompt_events(project_id=project_id, limit=limit)
+        if not prompt_events:
+            return []
+
+        links = self.get_prompt_change_links(project_id=project_id, limit=limit * 10)
+        if not links:
+            return []
+
+        prompt_map = {prompt["id"]: {**prompt, "changes": []} for prompt in prompt_events}
+        change_map = {change["id"]: change for change in self.get_code_changes(project_id=project_id, limit=limit * 10)}
+
+        for link in links:
+            prompt = prompt_map.get(link["prompt_audit_id"])
+            change = change_map.get(link["code_change_audit_id"])
+            if prompt is None or change is None:
+                continue
+            prompt["changes"].append(
+                {
+                    "id": change["id"],
+                    "file_path": link["file_path"] or change["file_path"],
+                    "change_type": link["change_type"] or change["action_type"],
+                    "details": change["details"],
+                    "diff_summary": change["diff_summary"],
+                    "timestamp": change["timestamp"],
+                }
+            )
+
+        correlations = [
+            {
+                "project_id": prompt["project_id"],
+                "prompt_id": prompt["id"],
+                "prompt_text": prompt["prompt_text"],
+                "features": prompt["features"],
+                "tech_stack": prompt["tech_stack"],
+                "timestamp": prompt["timestamp"],
+                "changes": prompt["changes"],
+            }
+            for prompt in prompt_map.values()
+        ]
+        correlations.sort(key=lambda item: item["timestamp"] or "", reverse=True)
+        return correlations[:limit]
+
+    def _build_correlations_from_audit_fallback(self, project_id: str | None = None, limit: int = 100) -> list[dict]:
+        """Fallback correlation builder for older rows without explicit lineage."""
+        query = self.db.query(AuditTrail)
+        if project_id:
+            query = query.filter(AuditTrail.project_id == project_id)
+        events = query.filter(
+            AuditTrail.action.in_(["PROMPT_RECEIVED", "CODE_CHANGE"])
+        ).order_by(AuditTrail.project_id.asc(), AuditTrail.created_at.asc(), AuditTrail.id.asc()).all()
+
+        grouped: dict[str, list[AuditTrail]] = {}
+        for event in events:
+            grouped.setdefault(event.project_id or "", []).append(event)
+
+        correlations: list[dict] = []
+        for grouped_project_id, project_events in grouped.items():
+            current_prompt: AuditTrail | None = None
+            current_changes: list[AuditTrail] = []
+            for event in project_events:
+                if event.action == "PROMPT_RECEIVED":
+                    if current_prompt is not None:
+                        prompt_metadata = self._normalize_metadata(current_prompt.metadata_json)
+                        correlations.append({
+                            "project_id": grouped_project_id,
+                            "prompt_id": current_prompt.id,
+                            "prompt_text": prompt_metadata.get("prompt_text", current_prompt.details),
+                            "features": prompt_metadata.get("features", []),
+                            "tech_stack": prompt_metadata.get("tech_stack", []),
+                            "timestamp": current_prompt.created_at.isoformat() if current_prompt.created_at else None,
+                            "changes": [
+                                {
+                                    "id": change.id,
+                                    "file_path": self._normalize_metadata(change.metadata_json).get("file"),
+                                    "change_type": change.action_type,
+                                    "details": self._normalize_metadata(change.metadata_json).get("details", change.details),
+                                    "diff_summary": self._normalize_metadata(change.metadata_json).get("diff_summary"),
+                                    "timestamp": change.created_at.isoformat() if change.created_at else None,
+                                }
+                                for change in current_changes
+                            ],
+                        })
+                    current_prompt = event
+                    current_changes = []
+                elif event.action == "CODE_CHANGE" and current_prompt is not None:
+                    current_changes.append(event)
+
+            if current_prompt is not None:
+                prompt_metadata = self._normalize_metadata(current_prompt.metadata_json)
+                correlations.append({
+                    "project_id": grouped_project_id,
+                    "prompt_id": current_prompt.id,
+                    "prompt_text": prompt_metadata.get("prompt_text", current_prompt.details),
+                    "features": prompt_metadata.get("features", []),
+                    "tech_stack": prompt_metadata.get("tech_stack", []),
+                    "timestamp": current_prompt.created_at.isoformat() if current_prompt.created_at else None,
+                    "changes": [
+                        {
+                            "id": change.id,
+                            "file_path": self._normalize_metadata(change.metadata_json).get("file"),
+                            "change_type": change.action_type,
+                            "details": self._normalize_metadata(change.metadata_json).get("details", change.details),
+                            "diff_summary": self._normalize_metadata(change.metadata_json).get("diff_summary"),
+                            "timestamp": change.created_at.isoformat() if change.created_at else None,
+                        }
+                        for change in current_changes
+                    ],
+                })
+
+        correlations.sort(key=lambda item: item["timestamp"] or "", reverse=True)
+        return correlations[:limit]
+
     def log_commit(self, project_id: str, commit_message: str, actor: str,
                    actor_type: str = "agent") -> AuditTrail:
         """Log a git commit."""
@@ -429,7 +684,10 @@ class DatabaseManager:
                 "project": None,
                 "logs": [],
                 "actions": [],
-                "audit_trail": []
+                "audit_trail": [],
+                "prompts": [],
+                "code_changes": [],
+                "prompt_change_correlations": [],
             }
         
         # Get logs
@@ -447,6 +705,10 @@ class DatabaseManager:
             AuditTrail.project_id == project_id
         ).order_by(AuditTrail.created_at.desc()).all()
 
+        prompts = self.get_prompt_events(project_id=project_id)
+        code_changes = self.get_code_changes(project_id=project_id)
+        correlations = self.get_prompt_change_correlations(project_id=project_id)
+        
         return {
             "project": {
                 "id": history.id,
@@ -489,10 +751,92 @@ class DatabaseManager:
                     "actor": audit.actor,
                     "action_type": audit.action_type,
                     "details": audit.details,
+                    "metadata": self._normalize_metadata(audit.metadata_json),
                     "timestamp": audit.created_at.isoformat() if audit.created_at else None
                 }
                 for audit in audit_trails
+            ],
+            "prompts": prompts,
+            "code_changes": code_changes,
+            "prompt_change_correlations": correlations,
+        }
+
+    def get_prompt_events(self, project_id: str | None = None, limit: int = 100) -> list[dict]:
+        """Return prompt receipt events from the audit trail."""
+        query = self.db.query(AuditTrail).filter(AuditTrail.action == "PROMPT_RECEIVED")
+        if project_id:
+            query = query.filter(AuditTrail.project_id == project_id)
+        prompts = query.order_by(AuditTrail.created_at.desc()).limit(limit).all()
+        return [
+            {
+                "id": prompt.id,
+                "project_id": prompt.project_id,
+                "actor": prompt.actor,
+                "message": prompt.message,
+                "prompt_text": self._normalize_metadata(prompt.metadata_json).get("prompt_text", prompt.details),
+                "features": self._normalize_metadata(prompt.metadata_json).get("features", []),
+                "tech_stack": self._normalize_metadata(prompt.metadata_json).get("tech_stack", []),
+                "history_id": self._normalize_metadata(prompt.metadata_json).get("history_id"),
+                "timestamp": prompt.created_at.isoformat() if prompt.created_at else None,
+            }
+            for prompt in prompts
         ]
+
+    def get_code_changes(self, project_id: str | None = None, limit: int = 100) -> list[dict]:
+        """Return code change events from the audit trail."""
+        query = self.db.query(AuditTrail).filter(AuditTrail.action == "CODE_CHANGE")
+        if project_id:
+            query = query.filter(AuditTrail.project_id == project_id)
+        changes = query.order_by(AuditTrail.created_at.desc()).limit(limit).all()
+        return [
+            {
+                "id": change.id,
+                "project_id": change.project_id,
+                "action_type": change.action_type,
+                "actor": change.actor,
+                "details": change.details,
+                "file_path": self._normalize_metadata(change.metadata_json).get("file"),
+                "prompt_id": self._normalize_metadata(change.metadata_json).get("prompt_id"),
+                "history_id": self._normalize_metadata(change.metadata_json).get("history_id"),
+                "diff_summary": self._normalize_metadata(change.metadata_json).get("diff_summary"),
+                "timestamp": change.created_at.isoformat() if change.created_at else None,
+            }
+            for change in changes
+        ]
+
+    def get_prompt_change_correlations(self, project_id: str | None = None, limit: int = 100) -> list[dict]:
+        """Correlate prompts with the concrete code changes that followed them."""
+        correlations = self._build_correlations_from_links(project_id=project_id, limit=limit)
+        if correlations:
+            return correlations
+        return self._build_correlations_from_audit_fallback(project_id=project_id, limit=limit)
+
+    def get_dashboard_snapshot(self, limit: int = 8) -> dict:
+        """Return DB-backed dashboard data for the UI."""
+        projects = self.db.query(ProjectHistory).order_by(ProjectHistory.updated_at.desc()).limit(limit).all()
+        system_logs = self.db.query(SystemLog).order_by(SystemLog.created_at.desc()).limit(limit).all()
+        return {
+            "summary": {
+                "total_projects": self.db.query(ProjectHistory).count(),
+                "running_projects": self.db.query(ProjectHistory).filter(ProjectHistory.status == ProjectStatus.RUNNING.value).count(),
+                "completed_projects": self.db.query(ProjectHistory).filter(ProjectHistory.status == ProjectStatus.COMPLETED.value).count(),
+                "error_projects": self.db.query(ProjectHistory).filter(ProjectHistory.status == ProjectStatus.ERROR.value).count(),
+                "prompt_events": self.db.query(AuditTrail).filter(AuditTrail.action == "PROMPT_RECEIVED").count(),
+                "code_changes": self.db.query(AuditTrail).filter(AuditTrail.action == "CODE_CHANGE").count(),
+            },
+            "projects": [self.get_project_audit_data(project.project_id) for project in projects],
+            "system_logs": [
+                {
+                    "id": log.id,
+                    "component": log.component,
+                    "level": log.log_level,
+                    "message": log.log_message,
+                    "timestamp": log.created_at.isoformat() if log.created_at else None,
+                }
+                for log in system_logs
+            ],
+            "lineage_links": self.get_prompt_change_links(limit=limit * 10),
+            "correlations": self.get_prompt_change_correlations(limit=limit),
         }
 
     def cleanup_audit_trail(self) -> None:

ai_software_factory/agents/git_manager.py

@@ -2,8 +2,14 @@
 
 import os
 import subprocess
+from pathlib import Path
 from typing import Optional
 
+try:
+    from ..config import settings
+except ImportError:
+    from config import settings
+
 
 class GitManager:
     """Manages git operations for the project."""
@@ -12,7 +18,15 @@ class GitManager:
         if not project_id:
             raise ValueError("project_id cannot be empty or None")
         self.project_id = project_id
-        self.project_dir = f"{os.path.dirname(__file__)}/../../test-project/{project_id}"
+        project_path = Path(project_id)
+        if project_path.is_absolute() or len(project_path.parts) > 1:
+            resolved = project_path.expanduser().resolve()
+        else:
+            base_root = settings.projects_root
+            if base_root.name != "test-project":
+                base_root = base_root / "test-project"
+            resolved = (base_root / project_id).resolve()
+        self.project_dir = str(resolved)
     
     def init_repo(self):
         """Initialize git repository."""

ai_software_factory/agents/n8n_setup.py

@@ -2,7 +2,11 @@
 
 import json
 from typing import Optional
-from ai_software_factory.config import settings
+
+try:
+    from ..config import settings
+except ImportError:
+    from config import settings
 
 
 class N8NSetupAgent:
@@ -22,95 +26,266 @@ class N8NSetupAgent:
         self.webhook_token = webhook_token
         self.session = None
 
+    def _api_path(self, path: str) -> str:
+        """Build a full n8n API URL for a given endpoint path."""
+        if path.startswith("http://") or path.startswith("https://"):
+            return path
+        trimmed = path.lstrip("/")
+        if trimmed.startswith("api/"):
+            return f"{self.api_url}/{trimmed}"
+        return f"{self.api_url}/api/v1/{trimmed}"
+    
     def get_auth_headers(self) -> dict:
         """Get authentication headers for n8n API using webhook token."""
-        return {
+        headers = {
             "n8n-no-credentials": "true",
             "Content-Type": "application/json",
             "User-Agent": "AI-Software-Factory"
         }
+        if self.webhook_token:
+            headers["X-N8N-API-KEY"] = self.webhook_token
+        return headers
+
+    async def _request(self, method: str, path: str, **kwargs) -> dict:
+        """Send a request to n8n and normalize the response."""
+        import aiohttp
+
+        headers = kwargs.pop("headers", None) or self.get_auth_headers()
+        url = self._api_path(path)
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.request(method, url, headers=headers, **kwargs) as resp:
+                    content_type = resp.headers.get("Content-Type", "")
+                    if "application/json" in content_type:
+                        payload = await resp.json()
+                    else:
+                        payload = {"text": await resp.text()}
+
+                    if 200 <= resp.status < 300:
+                        if isinstance(payload, dict):
+                            payload.setdefault("status_code", resp.status)
+                            return payload
+                        return {"data": payload, "status_code": resp.status}
+
+                    message = payload.get("message") if isinstance(payload, dict) else str(payload)
+                    return {"error": f"Status {resp.status}: {message}", "status_code": resp.status, "payload": payload}
+        except Exception as e:
+            return {"error": str(e)}
     
     async def get_workflow(self, workflow_name: str) -> Optional[dict]:
         """Get a workflow by name."""
-        import aiohttp
-        try:
-            async with aiohttp.ClientSession() as session:
-                # Use the webhook URL directly for workflow operations
-                # n8n supports calling workflows via /webhook/ path with query params
-                # For API token auth, n8n checks the token against webhook credentials
-                headers = self.get_auth_headers()
-                
-                # Try standard workflow endpoint first (for API token setup)
-                async with session.get(
-                    f"{self.api_url}/workflow/{workflow_name}.json",
-                    headers=headers
-                ) as resp:
-                    if resp.status == 200:
-                        return await resp.json()
-                    elif resp.status == 404:
+        workflows = await self.list_workflows()
+        if isinstance(workflows, dict) and workflows.get("error"):
+            return workflows
+        for workflow in workflows:
+            if workflow.get("name") == workflow_name:
+                return workflow
         return None
-                    else:
-                        return {"error": f"Status {resp.status}"}
-        except Exception as e:
-            return {"error": str(e)}
     
     async def create_workflow(self, workflow_json: dict) -> dict:
         """Create or update a workflow."""
-        import aiohttp
-        try:
-            async with aiohttp.ClientSession() as session:
-                # Use POST to create/update workflow
-                headers = self.get_auth_headers()
+        return await self._request("POST", "workflows", json=workflow_json)
 
-                async with session.post(
-                    f"{self.api_url}/workflow",
-                    headers=headers,
-                    json=workflow_json
-                ) as resp:
-                    if resp.status == 200 or resp.status == 201:
-                        return await resp.json()
-                    else:
-                        return {"error": f"Status {resp.status}: {await resp.text()}"}
-        except Exception as e:
-            return {"error": str(e)}
+    async def update_workflow(self, workflow_id: str, workflow_json: dict) -> dict:
+        """Update an existing workflow."""
+        return await self._request("PATCH", f"workflows/{workflow_id}", json=workflow_json)
     
     async def enable_workflow(self, workflow_id: str) -> dict:
         """Enable a workflow."""
-        import aiohttp
-        try:
-            async with aiohttp.ClientSession() as session:
-                headers = self.get_auth_headers()
-                
-                async with session.post(
-                    f"{self.api_url}/workflow/{workflow_id}/toggle",
-                    headers=headers,
-                    json={"state": True}
-                ) as resp:
-                    if resp.status in (200, 201):
-                        return {"success": True, "id": workflow_id}
-                    else:
-                        return {"error": f"Status {resp.status}: {await resp.text()}"}
-        except Exception as e:
-            return {"error": str(e)}
+        result = await self._request("POST", f"workflows/{workflow_id}/activate")
+        if result.get("error"):
+            fallback = await self._request("PATCH", f"workflows/{workflow_id}", json={"active": True})
+            if fallback.get("error"):
+                return fallback
+            return {"success": True, "id": workflow_id, "method": "patch"}
+        return {"success": True, "id": workflow_id, "method": "activate"}
     
     async def list_workflows(self) -> list:
         """List all workflows."""
-        import aiohttp
-        try:
-            async with aiohttp.ClientSession() as session:
-                headers = self.get_auth_headers()
+        result = await self._request("GET", "workflows")
+        if result.get("error"):
+            return result
+        if isinstance(result, list):
+            return result
+        if isinstance(result, dict):
+            for key in ("data", "workflows"):
+                value = result.get(key)
+                if isinstance(value, list):
+                    return value
+        return []
 
-                async with session.get(
-                    f"{self.api_url}/workflow",
-                    headers=headers
-                ) as resp:
-                    if resp.status == 200:
-                        return await resp.json()
-                    else:
+    def build_telegram_workflow(self, webhook_path: str, backend_url: str) -> dict:
+        """Build the Telegram-to-backend workflow definition."""
+        normalized_path = webhook_path.strip().strip("/") or "telegram"
+        return {
+            "name": "Telegram to AI Software Factory",
+            "active": False,
+            "settings": {"executionOrder": "v1"},
+            "nodes": [
+                {
+                    "id": "webhook-node",
+                    "name": "Telegram Webhook",
+                    "type": "n8n-nodes-base.webhook",
+                    "typeVersion": 2,
+                    "position": [-520, 120],
+                    "parameters": {
+                        "httpMethod": "POST",
+                        "path": normalized_path,
+                        "responseMode": "responseNode",
+                        "options": {},
+                    },
+                },
+                {
+                    "id": "parse-node",
+                    "name": "Prepare Software Request",
+                    "type": "n8n-nodes-base.code",
+                    "typeVersion": 2,
+                    "position": [-200, 120],
+                    "parameters": {
+                        "language": "javaScript",
+                        "jsCode": "const body = $json.body ?? $json;\nconst message = body.message ?? body;\nconst text = String(message.text ?? '').trim();\nconst lines = text.split(/\\r?\\n/);\nconst request = { name: null, description: '', features: [], tech_stack: [] };\nlet nameIndex = -1;\nlet featuresIndex = -1;\nlet techIndex = -1;\nfor (let i = 0; i < lines.length; i += 1) {\n  const line = lines[i].trim();\n  if (line.toLowerCase().startsWith('name:')) { request.name = line.split(':', 2)[1]?.trim() || null; nameIndex = i; }\n  if (line.toLowerCase().startsWith('features:') && featuresIndex === -1) { featuresIndex = i; }\n  if (line.toLowerCase().startsWith('tech stack:') && techIndex === -1) { techIndex = i; }\n}\nif (nameIndex >= 0) {\n  const descriptionEnd = featuresIndex >= 0 ? featuresIndex : (techIndex >= 0 ? techIndex : lines.length);\n  request.description = lines.slice(nameIndex + 1, descriptionEnd).join('\\n').replace(/^description:\\s*/i, '').trim();\n}\nfunction collectList(startIndex, fieldName) {\n  if (startIndex < 0) return;\n  const firstLine = lines[startIndex].split(':').slice(1).join(':').trim();\n  if (firstLine && !firstLine.startsWith('-') && !firstLine.startsWith('*')) {\n    request[fieldName].push(...firstLine.split(',').map(item => item.trim()).filter(Boolean));\n  }\n  for (const rawLine of lines.slice(startIndex + 1)) {\n    const line = rawLine.trim();\n    if (!line) continue;\n    if (/^[A-Za-z ]+:/.test(line)) break;\n    if (line.startsWith('-') || line.startsWith('*')) {\n      const value = line.slice(1).trim();\n      if (value) request[fieldName].push(value);\n    }\n  }\n}\ncollectList(featuresIndex, 'features');\ncollectList(techIndex, 'tech_stack');\nif (!request.name || request.features.length === 0) { throw new Error('Could not parse software request from Telegram message'); }\nreturn [{ json: { ...request, _source: { raw_text: text, chat_id: message.chat?.id ?? null } } }];",
+                    },
+                },
+                {
+                    "id": "api-node",
+                    "name": "AI Software Factory API",
+                    "type": "n8n-nodes-base.httpRequest",
+                    "typeVersion": 4.2,
+                    "position": [120, 120],
+                    "parameters": {
+                        "method": "POST",
+                        "url": backend_url,
+                        "sendBody": True,
+                        "specifyBody": "json",
+                        "jsonBody": "={{ $json }}",
+                        "options": {"response": {"response": {"fullResponse": False}}},
+                    },
+                },
+                {
+                    "id": "response-node",
+                    "name": "Respond to Telegram Webhook",
+                    "type": "n8n-nodes-base.respondToWebhook",
+                    "typeVersion": 1.2,
+                    "position": [420, 120],
+                    "parameters": {
+                        "respondWith": "json",
+                        "responseBody": "={{ $json }}",
+                    },
+                },
+            ],
+            "connections": {
+                "Telegram Webhook": {"main": [[{"node": "Prepare Software Request", "type": "main", "index": 0}]]},
+                "Prepare Software Request": {"main": [[{"node": "AI Software Factory API", "type": "main", "index": 0}]]},
+                "AI Software Factory API": {"main": [[{"node": "Respond to Telegram Webhook", "type": "main", "index": 0}]]},
+            },
+        }
+
+    def build_telegram_trigger_workflow(
+        self,
+        backend_url: str,
+        credential_name: str,
+    ) -> dict:
+        """Build a production Telegram Trigger based workflow."""
+        return {
+            "name": "Telegram to AI Software Factory",
+            "active": False,
+            "settings": {"executionOrder": "v1"},
+            "nodes": [
+                {
+                    "id": "telegram-trigger-node",
+                    "name": "Telegram Trigger",
+                    "type": "n8n-nodes-base.telegramTrigger",
+                    "typeVersion": 1,
+                    "position": [-520, 120],
+                    "parameters": {"updates": ["message"]},
+                    "credentials": {"telegramApi": {"name": credential_name}},
+                },
+                {
+                    "id": "parse-node",
+                    "name": "Prepare Software Request",
+                    "type": "n8n-nodes-base.code",
+                    "typeVersion": 2,
+                    "position": [-180, 120],
+                    "parameters": {
+                        "language": "javaScript",
+                        "jsCode": "const message = $json.message ?? $json;\nconst text = String(message.text ?? '').trim();\nconst lines = text.split(/\\r?\\n/);\nconst request = { name: null, description: '', features: [], tech_stack: [], _source: { raw_text: text, chat_id: message.chat?.id ?? null } };\nlet nameIndex = -1;\nlet featuresIndex = -1;\nlet techIndex = -1;\nfor (let i = 0; i < lines.length; i += 1) {\n  const line = lines[i].trim();\n  if (line.toLowerCase().startsWith('name:')) { request.name = line.split(':', 2)[1]?.trim() || null; nameIndex = i; }\n  if (line.toLowerCase().startsWith('features:') && featuresIndex === -1) { featuresIndex = i; }\n  if (line.toLowerCase().startsWith('tech stack:') && techIndex === -1) { techIndex = i; }\n}\nif (nameIndex >= 0) {\n  const descriptionEnd = featuresIndex >= 0 ? featuresIndex : (techIndex >= 0 ? techIndex : lines.length);\n  request.description = lines.slice(nameIndex + 1, descriptionEnd).join('\\n').replace(/^description:\\s*/i, '').trim();\n}\nfunction collectList(startIndex, fieldName) {\n  if (startIndex < 0) return;\n  const firstLine = lines[startIndex].split(':').slice(1).join(':').trim();\n  if (firstLine && !firstLine.startsWith('-') && !firstLine.startsWith('*')) {\n    request[fieldName].push(...firstLine.split(',').map(item => item.trim()).filter(Boolean));\n  }\n  for (const rawLine of lines.slice(startIndex + 1)) {\n    const line = rawLine.trim();\n    if (!line) continue;\n    if (/^[A-Za-z ]+:/.test(line)) break;\n    if (line.startsWith('-') || line.startsWith('*')) {\n      const value = line.slice(1).trim();\n      if (value) request[fieldName].push(value);\n    }\n  }\n}\ncollectList(featuresIndex, 'features');\ncollectList(techIndex, 'tech_stack');\nif (!request.name || request.features.length === 0) { throw new Error('Could not parse software request from Telegram message'); }\nreturn [{ json: request }];",
+                    },
+                },
+                {
+                    "id": "api-node",
+                    "name": "AI Software Factory API",
+                    "type": "n8n-nodes-base.httpRequest",
+                    "typeVersion": 4.2,
+                    "position": [120, 120],
+                    "parameters": {
+                        "method": "POST",
+                        "url": backend_url,
+                        "sendBody": True,
+                        "specifyBody": "json",
+                        "jsonBody": "={{ $json }}",
+                        "options": {"response": {"response": {"fullResponse": False}}},
+                    },
+                },
+                {
+                    "id": "reply-node",
+                    "name": "Send Telegram Update",
+                    "type": "n8n-nodes-base.telegram",
+                    "typeVersion": 1,
+                    "position": [420, 120],
+                    "parameters": {
+                        "resource": "message",
+                        "operation": "sendMessage",
+                        "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
+                        "text": "={{ $json.data ? `Generated ${$json.data.name} (${($json.data.changed_files || []).length} files)` : ($json.message || 'Software generation request accepted') }}",
+                    },
+                    "credentials": {"telegramApi": {"name": credential_name}},
+                },
+            ],
+            "connections": {
+                "Telegram Trigger": {"main": [[{"node": "Prepare Software Request", "type": "main", "index": 0}]]},
+                "Prepare Software Request": {"main": [[{"node": "AI Software Factory API", "type": "main", "index": 0}]]},
+                "AI Software Factory API": {"main": [[{"node": "Send Telegram Update", "type": "main", "index": 0}]]},
+            },
+        }
+
+    async def list_credentials(self) -> list:
+        """List n8n credentials."""
+        result = await self._request("GET", "credentials")
+        if result.get("error"):
             return []
-        except Exception as e:
+        if isinstance(result, list):
+            return result
+        if isinstance(result, dict):
+            for key in ("data", "credentials"):
+                value = result.get(key)
+                if isinstance(value, list):
+                    return value
         return []
 
+    async def get_credential(self, credential_name: str, credential_type: str = "telegramApi") -> Optional[dict]:
+        """Get an existing credential by name and type."""
+        credentials = await self.list_credentials()
+        for credential in credentials:
+            if credential.get("name") == credential_name and credential.get("type") == credential_type:
+                return credential
+        return None
+
+    async def create_credential(self, name: str, credential_type: str, data: dict) -> dict:
+        """Create an n8n credential."""
+        payload = {"name": name, "type": credential_type, "data": data}
+        return await self._request("POST", "credentials", json=payload)
+
+    async def ensure_telegram_credential(self, bot_token: str, credential_name: str) -> dict:
+        """Ensure a Telegram credential exists for the workflow trigger."""
+        existing = await self.get_credential(credential_name)
+        if existing:
+            return existing
+        return await self.create_credential(
+            name=credential_name,
+            credential_type="telegramApi",
+            data={"accessToken": bot_token},
+        )
+    
     async def setup_telegram_workflow(self, webhook_path: str) -> dict:
         """Setup the Telegram webhook workflow in n8n.
         
@@ -120,117 +295,85 @@ class N8NSetupAgent:
         Returns:
             Result of setup operation
         """
-        import os
-        webhook_token = os.getenv("TELEGRAM_BOT_TOKEN", "")
-        
-        # Define the workflow using n8n's Telegram trigger
-        workflow = {
-            "name": "Telegram to AI Software Factory",
-            "nodes": [
-                {
-                    "parameters": {
-                        "httpMethod": "post",
-                        "responseMode": "response",
-                        "path": webhook_path or "telegram",
-                        "httpBody": "={{ json.stringify($json) }}",
-                        "httpAuthType": "headerParam",
-                        "headerParams": {
-                            "x-n8n-internal": "true",
-                            "content-type": "application/json"
-                        }
-                    },
-                    "id": "webhook-node",
-                    "name": "Telegram Webhook"
-                },
-                {
-                    "parameters": {
-                        "operation": "editFields",
-                        "fields": "json",
-                        "editFieldsValue": "={{ json.parse($json.text) }}",
-                        "options": {}
-                    },
-                    "id": "parse-node",
-                    "name": "Parse Message"
-                },
-                {
-                    "parameters": {
-                        "url": "http://localhost:8000/generate",
-                        "method": "post",
-                        "sendBody": True,
-                        "responseMode": "onReceived",
-                        "ignoreSSL": True,
-                        "retResponse": True,
-                        "sendQueryParams": False
-                    },
-                    "id": "api-node",
-                    "name": "AI Software Factory API"
-                },
-                {
-                    "parameters": {
-                        "operation": "editResponse",
-                        "editResponseValue": "={{ $json }}"
-                    },
-                    "id": "response-node",
-                    "name": "Response Builder"
-                }
-            ],
-            "connections": {
-                "Telegram Webhook": {
-                    "webhook": ["parse"]
-                },
-                "Parse Message": {
-                    "API Call": ["POST"]
-                },
-                "Response Builder": {
-                    "respondToWebhook": ["response"]
-                }
-            },
-            "settings": {
-                "executionOrder": "v1"
-            }
-        }
-        
-        # Create the workflow
-        result = await self.create_workflow(workflow)
-        
-        if result.get("success") or result.get("id"):
-            # Try to enable the workflow
-            enable_result = await self.enable_workflow(result.get("id", ""))
-            result.update(enable_result)
-        
-        return result
+        return await self.setup(
+            webhook_path=webhook_path,
+            backend_url=f"{settings.backend_public_url}/generate",
+            force_update=False,
+        )
     
     async def health_check(self) -> dict:
         """Check n8n API health."""
-        import aiohttp
-        try:
-            async with aiohttp.ClientSession() as session:
-                headers = self.get_auth_headers()
+        result = await self._request("GET", f"{self.api_url}/healthz")
+        if result.get("error"):
+            fallback = await self._request("GET", "workflows")
+            if fallback.get("error"):
+                return fallback
+            return {"status": "ok", "checked_via": "workflows"}
+        return {"status": "ok", "checked_via": "healthz"}
     
-                async with session.get(
-                    f"{self.api_url}/api/v1/workflow",
-                    headers=headers
-                ) as resp:
-                    if resp.status == 200:
-                        return {"status": "ok"}
-                    else:
-                        return {"error": f"Status {resp.status}"}
-        except Exception as e:
-            return {"error": str(e)}
-    
-    async def setup(self) -> dict:
+    async def setup(
+        self,
+        webhook_path: str = "telegram",
+        backend_url: str | None = None,
+        force_update: bool = False,
+        use_telegram_trigger: bool | None = None,
+        telegram_bot_token: str | None = None,
+        telegram_credential_name: str | None = None,
+    ) -> dict:
         """Setup n8n webhooks automatically."""
         # First, verify n8n is accessible
         health = await self.health_check()
         if health.get("error"):
             return {"status": "error", "message": health.get("error")}
         
-        # Try to get existing telegram workflow
-        existing = await self.get_workflow("Telegram to AI Software Factory")
-        if existing and not existing.get("error"):
-            # Enable existing workflow
-            return await self.enable_workflow(existing.get("id", ""))
+        effective_backend_url = backend_url or f"{settings.backend_public_url}/generate"
+        effective_bot_token = telegram_bot_token or settings.telegram_bot_token
+        effective_credential_name = telegram_credential_name or settings.n8n_telegram_credential_name
+        trigger_mode = use_telegram_trigger if use_telegram_trigger is not None else bool(effective_bot_token)
 
-        # Create new workflow
-        result = await self.setup_telegram_workflow("/webhook/telegram")
-        return result
+        if trigger_mode:
+            credential = await self.ensure_telegram_credential(effective_bot_token, effective_credential_name)
+            if credential.get("error"):
+                return {"status": "error", "message": credential["error"]}
+            workflow = self.build_telegram_trigger_workflow(
+                backend_url=effective_backend_url,
+                credential_name=effective_credential_name,
+            )
+        else:
+            workflow = self.build_telegram_workflow(
+                webhook_path=webhook_path,
+                backend_url=effective_backend_url,
+            )
+
+        existing = await self.get_workflow(workflow["name"])
+        if isinstance(existing, dict) and existing.get("error"):
+            return {"status": "error", "message": existing["error"]}
+
+        workflow_id = None
+        if existing and existing.get("id"):
+            workflow_id = str(existing["id"])
+            if force_update:
+                result = await self.update_workflow(workflow_id, workflow)
+            else:
+                result = existing
+        else:
+            result = await self.create_workflow(workflow)
+            workflow_id = str(result.get("id", "")) if isinstance(result, dict) else None
+
+        if isinstance(result, dict) and result.get("error"):
+            return {"status": "error", "message": result["error"]}
+
+        workflow_id = workflow_id or str(result.get("id", ""))
+        enable_result = await self.enable_workflow(workflow_id)
+        if enable_result.get("error"):
+            return {"status": "error", "message": enable_result["error"], "workflow": result}
+
+        return {
+            "status": "success",
+            "message": f'Workflow "{workflow["name"]}" is active',
+            "workflow_id": workflow_id,
+            "workflow_name": workflow["name"],
+            "webhook_path": webhook_path.strip().strip("/") or "telegram",
+            "backend_url": effective_backend_url,
+            "trigger_mode": "telegram" if trigger_mode else "webhook",
+        }

ai_software_factory/agents/orchestrator.py

@@ -1,14 +1,24 @@
 """Agent orchestrator for software generation."""
 
-import asyncio
+from __future__ import annotations
+
+import py_compile
+from pathlib import Path
 from typing import Optional
-from ai_software_factory.agents.git_manager import GitManager
-from ai_software_factory.agents.ui_manager import UIManager
-from ai_software_factory.agents.gitea import GiteaAPI
-from ai_software_factory.agents.database_manager import DatabaseManager
-from ai_software_factory.config import settings
 from datetime import datetime
-import os
+
+try:
+    from ..config import settings
+    from .database_manager import DatabaseManager
+    from .git_manager import GitManager
+    from .gitea import GiteaAPI
+    from .ui_manager import UIManager
+except ImportError:
+    from config import settings
+    from agents.database_manager import DatabaseManager
+    from agents.git_manager import GitManager
+    from agents.gitea import GiteaAPI
+    from agents.ui_manager import UIManager
 
 
 class AgentOrchestrator:
@@ -21,7 +31,9 @@ class AgentOrchestrator:
         description: str,
         features: list,
         tech_stack: list,
-        db = None
+        db=None,
+        prompt_text: str | None = None,
+        prompt_actor: str = "api",
     ):
         """Initialize orchestrator."""
         self.project_id = project_id
@@ -36,6 +48,11 @@ class AgentOrchestrator:
         self.logs = []
         self.ui_data = {}
         self.db = db
+        self.prompt_text = prompt_text
+        self.prompt_actor = prompt_actor
+        self.changed_files: list[str] = []
+        self.project_root = settings.projects_root / project_id
+        self.prompt_audit = None
 
         # Initialize agents
         self.git_manager = GitManager(project_id)
@@ -60,52 +77,115 @@ class AgentOrchestrator:
             )
             # Re-fetch with new history_id
             self.db_manager = DatabaseManager(db)
+            if self.prompt_text:
+                self.prompt_audit = self.db_manager.log_prompt_submission(
+                    history_id=self.history.id,
+                    project_id=project_id,
+                    prompt_text=self.prompt_text,
+                    features=self.features,
+                    tech_stack=self.tech_stack,
+                    actor_name=self.prompt_actor,
+                )
+
+        self.ui_manager.ui_data["project_root"] = str(self.project_root)
+        self.ui_manager.ui_data["features"] = list(self.features)
+        self.ui_manager.ui_data["tech_stack"] = list(self.tech_stack)
+
+    def _append_log(self, message: str) -> None:
+        timestamped = f"[{datetime.utcnow().isoformat()}] {message}"
+        self.logs.append(timestamped)
+        if self.db_manager and self.history:
+            self.db_manager._log_action(self.history.id, "INFO", message)
+
+    def _update_progress(self, progress: int, step: str, message: str) -> None:
+        self.progress = progress
+        self.current_step = step
+        self.message = message
+        self.ui_manager.update_status(self.status, progress, message)
+        if self.db_manager and self.history:
+            self.db_manager.log_progress_update(
+                history_id=self.history.id,
+                progress=progress,
+                step=step,
+                message=message,
+            )
+
+    def _write_file(self, relative_path: str, content: str) -> None:
+        target = self.project_root / relative_path
+        target.parent.mkdir(parents=True, exist_ok=True)
+        change_type = "UPDATE" if target.exists() else "CREATE"
+        target.write_text(content, encoding="utf-8")
+        self.changed_files.append(relative_path)
+        if self.db_manager and self.history:
+            self.db_manager.log_code_change(
+                project_id=self.project_id,
+                change_type=change_type,
+                file_path=relative_path,
+                actor="orchestrator",
+                actor_type="agent",
+                details=f"{change_type.title()}d generated artifact {relative_path}",
+                history_id=self.history.id,
+                prompt_id=self.prompt_audit.id if self.prompt_audit else None,
+                diff_summary=f"Wrote {len(content.splitlines())} lines to {relative_path}",
+            )
+
+    def _template_files(self) -> dict[str, str]:
+        feature_section = "\n".join(f"- {feature}" for feature in self.features) or "- None specified"
+        tech_section = "\n".join(f"- {tech}" for tech in self.tech_stack) or "- Python"
+        return {
+            ".gitignore": "__pycache__/\n*.pyc\n.venv/\n.pytest_cache/\n.mypy_cache/\n",
+            "README.md": (
+                f"# {self.project_name}\n\n"
+                f"{self.description}\n\n"
+                "## Features\n"
+                f"{feature_section}\n\n"
+                "## Tech Stack\n"
+                f"{tech_section}\n"
+            ),
+            "requirements.txt": "fastapi\nuvicorn\npytest\n",
+            "main.py": (
+                "from fastapi import FastAPI\n\n"
+                "app = FastAPI(title=\"Generated App\")\n\n"
+                "@app.get('/')\n"
+                "def read_root():\n"
+                f"    return {{'name': '{self.project_name}', 'status': 'generated', 'features': {self.features!r}}}\n"
+            ),
+            "tests/test_app.py": (
+                "from main import read_root\n\n"
+                "def test_read_root():\n"
+                f"    assert read_root()['name'] == '{self.project_name}'\n"
+            ),
+        }
 
     async def run(self) -> dict:
         """Run the software generation process with full audit logging."""
         try:
             # Step 1: Initialize project
-            self.progress = 5
-            self.current_step = "Initializing project"
-            self.message = "Setting up project structure..."
-            self.logs.append(f"[{datetime.utcnow().isoformat()}] Initializing project.")
+            self.status = "running"
+            self._update_progress(5, "initializing", "Setting up project structure...")
+            self._append_log("Initializing project.")
 
             # Step 2: Create project structure (skip git operations)
-            self.progress = 15
-            self.current_step = "Creating project structure"
-            self.message = "Creating project files..."
+            self._update_progress(20, "project-structure", "Creating project files...")
             await self._create_project_structure()
 
             # Step 3: Generate initial code
-            self.progress = 25
-            self.current_step = "Generating initial code"
-            self.message = "Generating initial code with Ollama..."
+            self._update_progress(55, "code-generation", "Generating project entrypoint and tests...")
             await self._generate_code()
 
             # Step 4: Test the code
-            self.progress = 50
-            self.current_step = "Testing code"
-            self.message = "Running tests..."
+            self._update_progress(80, "validation", "Validating generated code...")
             await self._run_tests()
 
-            # Step 5: Commit to git (skip in test env)
-            self.progress = 75
-            self.current_step = "Committing to git"
-            self.message = "Skipping git operations in test environment..."
-
-            # Step 6: Create PR (skip in test env)
-            self.progress = 90
-            self.current_step = "Creating PR"
-            self.message = "Skipping PR creation in test environment..."
-
             # Step 7: Complete
-            self.progress = 100
-            self.current_step = "Completed"
-            self.message = "Software generation complete!"
-            self.logs.append(f"[{datetime.utcnow().isoformat()}] Software generation complete!")
+            self.status = "completed"
+            self._update_progress(100, "completed", "Software generation complete!")
+            self._append_log("Software generation complete!")
+            self.ui_manager.ui_data["changed_files"] = list(dict.fromkeys(self.changed_files))
 
             # Log completion to database if available
             if self.db_manager and self.history:
+                self.db_manager.save_ui_snapshot(self.history.id, self.ui_manager.get_ui_data())
                 self.db_manager.log_project_complete(
                     history_id=self.history.id,
                     message="Software generation complete!"
@@ -118,13 +198,15 @@ class AgentOrchestrator:
                 "current_step": self.current_step,
                 "logs": self.logs,
                 "ui_data": self.ui_manager.ui_data,
-                "history_id": self.history.id if self.history else None
+                "history_id": self.history.id if self.history else None,
+                "project_root": str(self.project_root),
+                "changed_files": list(dict.fromkeys(self.changed_files)),
             }
 
         except Exception as e:
             self.status = "error"
             self.message = f"Error: {str(e)}"
-            self.logs.append(f"[{datetime.utcnow().isoformat()}] Error: {str(e)}")
+            self._append_log(f"Error: {str(e)}")
 
             # Log error to database if available
             if self.db_manager and self.history:
@@ -141,64 +223,32 @@ class AgentOrchestrator:
                 "logs": self.logs,
                 "error": str(e),
                 "ui_data": self.ui_manager.ui_data,
-                "history_id": self.history.id if self.history else None
+                "history_id": self.history.id if self.history else None,
+                "project_root": str(self.project_root),
+                "changed_files": list(dict.fromkeys(self.changed_files)),
             }
 
     async def _create_project_structure(self) -> None:
         """Create initial project structure."""
-        project_dir = self.project_id
-
-        # Create .gitignore
-        gitignore_path = f"{project_dir}/.gitignore"
-        try:
-            os.makedirs(project_dir, exist_ok=True)
-            with open(gitignore_path, "w") as f:
-                f.write("# Python\n__pycache__/\n*.pyc\n*.pyo\n*.pyd\n.Python\n*.env\n.venv/\nnode_modules/\n.env\nbuild/\ndist/\n.pytest_cache/\n.mypy_cache/\n.coverage\nhtmlcov/\n.idea/\n.vscode/\n*.swp\n*.swo\n*~\n.DS_Store\n.git\n")
-        except Exception as e:
-            self.logs.append(f"[{datetime.utcnow().isoformat()}] Failed to create .gitignore: {str(e)}")
-
-        # Create README.md
-        readme_path = f"{project_dir}/README.md"
-        try:
-            with open(readme_path, "w") as f:
-                f.write(f"# {self.project_name}\n\n{self.description}\n\n## Features\n")
-                for feature in self.features:
-                    f.write(f"- {feature}\n")
-                f.write(f"\n## Tech Stack\n")
-                for tech in self.tech_stack:
-                    f.write(f"- {tech}\n")
-        except Exception as e:
-            self.logs.append(f"[{datetime.utcnow().isoformat()}] Failed to create README.md: {str(e)}")
+        self.project_root.mkdir(parents=True, exist_ok=True)
+        for relative_path, content in self._template_files().items():
+            if relative_path.startswith("main.py") or relative_path.startswith("tests/"):
+                continue
+            self._write_file(relative_path, content)
+        self._append_log(f"Project structure created under {self.project_root}.")
 
     async def _generate_code(self) -> None:
         """Generate code using Ollama."""
-        # This would call Ollama API to generate code
-        # For now, create a placeholder file
-        try:
-            main_py_path = f"{self.project_id}/main.py"
-            os.makedirs(self.project_id, exist_ok=True)
-            with open(main_py_path, "w") as f:
-                f.write("# Generated by AI Software Factory\n")
-                f.write("print('Hello, World!')\n")
-        except Exception as e:
-            self.logs.append(f"[{datetime.utcnow().isoformat()}] Failed to create main.py: {str(e)}")
-
-        # Log code change to audit trail
-        if self.db_manager and self.history:
-            self.db_manager.log_code_change(
-                project_id=self.project_id,
-                change_type="CREATE",
-                file_path="main.py",
-                actor="agent",
-                actor_type="agent",
-                details="Generated main.py file"
-            )
+        for relative_path, content in self._template_files().items():
+            if relative_path in {"main.py", "tests/test_app.py"}:
+                self._write_file(relative_path, content)
+        self._append_log("Application entrypoint and smoke test generated.")
 
     async def _run_tests(self) -> None:
         """Run tests for the generated code."""
-        # This would run pytest or other test framework
-        # For now, simulate test success
-        pass
+        py_compile.compile(str(self.project_root / "main.py"), doraise=True)
+        py_compile.compile(str(self.project_root / "tests/test_app.py"), doraise=True)
+        self._append_log("Generated Python files compiled successfully.")
 
     async def _commit_to_git(self) -> None:
         """Commit changes to git."""

ai_software_factory/agents/ui_manager.py

@@ -1,5 +1,6 @@
 """UI manager for web dashboard with audit trail display."""
 
+import html
 import json
 from typing import Optional, List
 
@@ -50,14 +51,7 @@ class UIManager:
         """Escape HTML special characters for safe display."""
         if text is None:
             return ""
-        safe_chars = {
-            '&': '&',
-            '<': '<',
-            '>': '>',
-            '"': '"',
-            "'": '&#x27;'
-        }
-        return ''.join(safe_chars.get(c, c) for c in str(text))
+        return html.escape(str(text), quote=True)
     
     def render_dashboard(self, audit_trail: Optional[List[dict]] = None, 
                          actions: Optional[List[dict]] = None, 

ai_software_factory/alembic.ini

@@ -0,0 +1,36 @@
+[alembic]
+script_location = alembic
+prepend_sys_path = .
+sqlalchemy.url = sqlite:////tmp/ai_software_factory_test.db
+
+[loggers]
+keys = root,sqlalchemy,alembic
+
+[handlers]
+keys = console
+
+[formatters]
+keys = generic
+
+[logger_root]
+level = WARN
+handlers = console
+
+[logger_sqlalchemy]
+level = WARN
+handlers =
+qualname = sqlalchemy.engine
+
+[logger_alembic]
+level = INFO
+handlers = console
+qualname = alembic
+
+[handler_console]
+class = StreamHandler
+args = (sys.stderr,)
+level = NOTSET
+formatter = generic
+
+[formatter_generic]
+format = %(levelname)-5.5s [%(name)s] %(message)s

ai_software_factory/alembic/env.py

@@ -0,0 +1,50 @@
+"""Alembic environment for AI Software Factory."""
+
+from __future__ import annotations
+
+from logging.config import fileConfig
+
+from alembic import context
+from sqlalchemy import engine_from_config, pool
+
+try:
+    from ai_software_factory.models import Base
+except ImportError:
+    from models import Base
+
+config = context.config
+
+if config.config_file_name is not None:
+    fileConfig(config.config_file_name)
+
+target_metadata = Base.metadata
+
+
+def run_migrations_offline() -> None:
+    """Run migrations in offline mode."""
+    url = config.get_main_option("sqlalchemy.url")
+    context.configure(url=url, target_metadata=target_metadata, literal_binds=True, compare_type=True)
+
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+def run_migrations_online() -> None:
+    """Run migrations in online mode."""
+    connectable = engine_from_config(
+        config.get_section(config.config_ini_section, {}),
+        prefix="sqlalchemy.",
+        poolclass=pool.NullPool,
+    )
+
+    with connectable.connect() as connection:
+        context.configure(connection=connection, target_metadata=target_metadata, compare_type=True)
+
+        with context.begin_transaction():
+            context.run_migrations()
+
+
+if context.is_offline_mode():
+    run_migrations_offline()
+else:
+    run_migrations_online()

ai_software_factory/alembic/script.py.mako

@@ -0,0 +1,17 @@
+"""${message}"""
+
+revision = ${repr(up_revision)}
+down_revision = ${repr(down_revision)}
+branch_labels = ${repr(branch_labels)}
+depends_on = ${repr(depends_on)}
+
+from alembic import op
+import sqlalchemy as sa
+
+
+def upgrade() -> None:
+    ${upgrades if upgrades else "pass"}
+
+
+def downgrade() -> None:
+    ${downgrades if downgrades else "pass"}

ai_software_factory/alembic/versions/20260410_01_initial_schema.py

@@ -0,0 +1,164 @@
+"""initial schema
+
+Revision ID: 20260410_01
+Revises: 
+Create Date: 2026-04-10 00:00:00
+"""
+
+from alembic import op
+import sqlalchemy as sa
+
+
+revision = "20260410_01"
+down_revision = None
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "agent_actions",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("agent_name", sa.String(length=100), nullable=False),
+        sa.Column("action_type", sa.String(length=100), nullable=False),
+        sa.Column("success", sa.Boolean(), nullable=True),
+        sa.Column("message", sa.String(length=500), nullable=True),
+        sa.Column("timestamp", sa.DateTime(), nullable=True),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "audit_trail",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("component", sa.String(length=50), nullable=True),
+        sa.Column("log_level", sa.String(length=50), nullable=True),
+        sa.Column("message", sa.String(length=500), nullable=False),
+        sa.Column("created_at", sa.DateTime(), nullable=True),
+        sa.Column("project_id", sa.String(length=255), nullable=True),
+        sa.Column("action", sa.String(length=100), nullable=True),
+        sa.Column("actor", sa.String(length=100), nullable=True),
+        sa.Column("action_type", sa.String(length=50), nullable=True),
+        sa.Column("details", sa.Text(), nullable=True),
+        sa.Column("metadata_json", sa.JSON(), nullable=True),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "project_history",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("project_id", sa.String(length=255), nullable=False),
+        sa.Column("project_name", sa.String(length=255), nullable=True),
+        sa.Column("features", sa.Text(), nullable=True),
+        sa.Column("description", sa.String(length=255), nullable=True),
+        sa.Column("status", sa.String(length=50), nullable=True),
+        sa.Column("progress", sa.Integer(), nullable=True),
+        sa.Column("message", sa.String(length=500), nullable=True),
+        sa.Column("current_step", sa.String(length=255), nullable=True),
+        sa.Column("total_steps", sa.Integer(), nullable=True),
+        sa.Column("current_step_description", sa.String(length=1024), nullable=True),
+        sa.Column("current_step_details", sa.Text(), nullable=True),
+        sa.Column("error_message", sa.Text(), nullable=True),
+        sa.Column("created_at", sa.DateTime(), nullable=True),
+        sa.Column("started_at", sa.DateTime(), nullable=True),
+        sa.Column("updated_at", sa.DateTime(), nullable=True),
+        sa.Column("completed_at", sa.DateTime(), nullable=True),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "system_logs",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("component", sa.String(length=50), nullable=False),
+        sa.Column("log_level", sa.String(length=50), nullable=True),
+        sa.Column("log_message", sa.String(length=500), nullable=False),
+        sa.Column("user_agent", sa.String(length=255), nullable=True),
+        sa.Column("ip_address", sa.String(length=45), nullable=True),
+        sa.Column("created_at", sa.DateTime(), nullable=True),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "project_logs",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("history_id", sa.Integer(), nullable=False),
+        sa.Column("log_level", sa.String(length=50), nullable=True),
+        sa.Column("log_message", sa.String(length=500), nullable=False),
+        sa.Column("timestamp", sa.DateTime(), nullable=True),
+        sa.ForeignKeyConstraint(["history_id"], ["project_history.id"]),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "prompt_code_links",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("history_id", sa.Integer(), nullable=False),
+        sa.Column("project_id", sa.String(length=255), nullable=False),
+        sa.Column("prompt_audit_id", sa.Integer(), nullable=False),
+        sa.Column("code_change_audit_id", sa.Integer(), nullable=False),
+        sa.Column("file_path", sa.String(length=500), nullable=True),
+        sa.Column("change_type", sa.String(length=50), nullable=True),
+        sa.Column("created_at", sa.DateTime(), nullable=True),
+        sa.ForeignKeyConstraint(["history_id"], ["project_history.id"]),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "pull_request_data",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("history_id", sa.Integer(), nullable=False),
+        sa.Column("pr_number", sa.Integer(), nullable=False),
+        sa.Column("pr_title", sa.String(length=500), nullable=False),
+        sa.Column("pr_body", sa.Text(), nullable=True),
+        sa.Column("pr_state", sa.String(length=50), nullable=False),
+        sa.Column("pr_url", sa.String(length=500), nullable=False),
+        sa.Column("created_at", sa.DateTime(), nullable=True),
+        sa.ForeignKeyConstraint(["history_id"], ["project_history.id"]),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "pull_requests",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("history_id", sa.Integer(), nullable=False),
+        sa.Column("pr_number", sa.Integer(), nullable=False),
+        sa.Column("pr_title", sa.String(length=500), nullable=False),
+        sa.Column("pr_body", sa.Text(), nullable=True),
+        sa.Column("base", sa.String(length=255), nullable=False),
+        sa.Column("user", sa.String(length=255), nullable=False),
+        sa.Column("pr_url", sa.String(length=500), nullable=False),
+        sa.Column("merged", sa.Boolean(), nullable=True),
+        sa.Column("merged_at", sa.DateTime(), nullable=True),
+        sa.Column("pr_state", sa.String(length=50), nullable=False),
+        sa.Column("created_at", sa.DateTime(), nullable=True),
+        sa.ForeignKeyConstraint(["history_id"], ["project_history.id"]),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "ui_snapshots",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("history_id", sa.Integer(), nullable=False),
+        sa.Column("snapshot_data", sa.JSON(), nullable=False),
+        sa.Column("created_at", sa.DateTime(), nullable=True),
+        sa.ForeignKeyConstraint(["history_id"], ["project_history.id"]),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "user_actions",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("history_id", sa.Integer(), nullable=True),
+        sa.Column("user_id", sa.String(length=100), nullable=True),
+        sa.Column("action_type", sa.String(length=100), nullable=True),
+        sa.Column("actor_type", sa.String(length=50), nullable=True),
+        sa.Column("actor_name", sa.String(length=100), nullable=True),
+        sa.Column("action_description", sa.String(length=500), nullable=True),
+        sa.Column("action_data", sa.JSON(), nullable=True),
+        sa.Column("created_at", sa.DateTime(), nullable=True),
+        sa.ForeignKeyConstraint(["history_id"], ["project_history.id"]),
+        sa.PrimaryKeyConstraint("id"),
+    )
+
+
+def downgrade() -> None:
+    op.drop_table("user_actions")
+    op.drop_table("ui_snapshots")
+    op.drop_table("pull_requests")
+    op.drop_table("pull_request_data")
+    op.drop_table("prompt_code_links")
+    op.drop_table("project_logs")
+    op.drop_table("system_logs")
+    op.drop_table("project_history")
+    op.drop_table("audit_trail")
+    op.drop_table("agent_actions")

ai_software_factory/config.py

@@ -28,9 +28,15 @@ class Settings(BaseSettings):
     # n8n settings
     N8N_WEBHOOK_URL: str = ""
     N8N_API_URL: str = ""
+    N8N_API_KEY: str = ""
+    N8N_TELEGRAM_CREDENTIAL_NAME: str = "AI Software Factory Telegram"
     N8N_USER: str = ""
     N8N_PASSWORD: str = ""
 
+    # Runtime integration settings
+    BACKEND_PUBLIC_URL: str = "http://localhost:8000"
+    PROJECTS_ROOT: str = ""
+
     # Telegram settings
     TELEGRAM_BOT_TOKEN: str = ""
     TELEGRAM_CHAT_ID: str = ""
@@ -104,6 +110,21 @@ class Settings(BaseSettings):
         """Get n8n webhook URL with trimmed whitespace."""
         return self.N8N_WEBHOOK_URL.strip()
 
+    @property
+    def n8n_api_url(self) -> str:
+        """Get n8n API URL with trimmed whitespace."""
+        return self.N8N_API_URL.strip()
+
+    @property
+    def n8n_api_key(self) -> str:
+        """Get n8n API key with trimmed whitespace."""
+        return self.N8N_API_KEY.strip()
+
+    @property
+    def n8n_telegram_credential_name(self) -> str:
+        """Get the preferred n8n Telegram credential name."""
+        return self.N8N_TELEGRAM_CREDENTIAL_NAME.strip() or "AI Software Factory Telegram"
+
     @property
     def telegram_bot_token(self) -> str:
         """Get Telegram bot token with trimmed whitespace."""
@@ -114,6 +135,18 @@ class Settings(BaseSettings):
         """Get Telegram chat ID with trimmed whitespace."""
         return self.TELEGRAM_CHAT_ID.strip()
 
+    @property
+    def backend_public_url(self) -> str:
+        """Get backend public URL with trimmed whitespace."""
+        return self.BACKEND_PUBLIC_URL.strip().rstrip("/")
+
+    @property
+    def projects_root(self) -> Path:
+        """Get the root directory for generated project artifacts."""
+        if self.PROJECTS_ROOT.strip():
+            return Path(self.PROJECTS_ROOT).expanduser().resolve()
+        return Path(__file__).resolve().parent.parent / "test-project"
+
     @property
     def postgres_host(self) -> str:
         """Get PostgreSQL host."""

ai_software_factory/dashboard_ui.py

@@ -0,0 +1,272 @@
+"""NiceGUI dashboard backed by real database state."""
+
+from __future__ import annotations
+
+from contextlib import closing
+
+from nicegui import ui
+
+try:
+    from .agents.database_manager import DatabaseManager
+    from .agents.n8n_setup import N8NSetupAgent
+    from .config import settings
+    from .database import get_db_sync, init_db
+except ImportError:
+    from agents.database_manager import DatabaseManager
+    from agents.n8n_setup import N8NSetupAgent
+    from config import settings
+    from database import get_db_sync, init_db
+
+
+def _resolve_n8n_api_url() -> str:
+    """Resolve the configured n8n API base URL."""
+    if settings.n8n_api_url:
+        return settings.n8n_api_url
+    if settings.n8n_webhook_url:
+        return settings.n8n_webhook_url.split('/webhook', 1)[0].rstrip('/')
+    return ''
+
+
+def _load_dashboard_snapshot() -> dict:
+    """Load dashboard data from the database."""
+    db = get_db_sync()
+    if db is None:
+        return {'error': 'Database session could not be created'}
+
+    with closing(db):
+        manager = DatabaseManager(db)
+        try:
+            return manager.get_dashboard_snapshot(limit=8)
+        except Exception as exc:
+            return {'error': f'Database error: {exc}'}
+
+
+def create_dashboard():
+    """Create the main NiceGUI dashboard."""
+    ui.add_head_html(
+        """
+        <style>
+          body { background: radial-gradient(circle at top, #f4efe7 0%, #e9e1d4 38%, #d7cec1 100%); }
+          .factory-shell { max-width: 1240px; margin: 0 auto; }
+          .factory-panel { background: rgba(255,255,255,0.78); backdrop-filter: blur(18px); border: 1px solid rgba(73,54,40,0.10); border-radius: 24px; box-shadow: 0 24px 60px rgba(84,55,24,0.14); }
+          .factory-kpi { background: linear-gradient(145deg, rgba(63,94,78,0.94), rgba(29,52,45,0.92)); color: #f8f3eb; border-radius: 18px; padding: 18px; min-height: 128px; }
+          .factory-muted { color: #745e4c; }
+          .factory-code { font-family: 'IBM Plex Mono', 'Fira Code', monospace; background: rgba(32,26,20,0.92); color: #f4efe7; border-radius: 14px; padding: 12px; white-space: pre-wrap; }
+          .factory-chip { background: rgba(173, 129, 82, 0.14); color: #6b4b2e; border-radius: 999px; padding: 4px 10px; font-size: 12px; }
+        </style>
+        """
+    )
+
+    async def setup_n8n_workflow_action() -> None:
+        api_url = _resolve_n8n_api_url()
+        if not api_url:
+            ui.notify('Configure N8N_API_URL or N8N_WEBHOOK_URL first', color='negative')
+            return
+
+        agent = N8NSetupAgent(api_url=api_url, webhook_token=settings.n8n_api_key)
+        result = await agent.setup(
+            webhook_path='telegram',
+            backend_url=f'{settings.backend_public_url}/generate',
+            force_update=True,
+        )
+
+        db = get_db_sync()
+        if db is not None:
+            with closing(db):
+                DatabaseManager(db).log_system_event(
+                    component='n8n',
+                    level='INFO' if result.get('status') == 'success' else 'ERROR',
+                    message=result.get('message', str(result)),
+                )
+
+        ui.notify(result.get('message', 'n8n setup finished'), color='positive' if result.get('status') == 'success' else 'negative')
+        dashboard_body.refresh()
+
+    def init_db_action() -> None:
+        result = init_db()
+        ui.notify(result.get('message', 'Database initialized'), color='positive' if result.get('status') == 'success' else 'negative')
+        dashboard_body.refresh()
+
+    @ui.refreshable
+    def dashboard_body() -> None:
+        snapshot = _load_dashboard_snapshot()
+        if snapshot.get('error'):
+            with ui.card().classes('factory-panel w-full max-w-4xl mx-auto q-pa-xl'):
+                ui.label('Dashboard unavailable').style('font-size: 1.5rem; font-weight: 700; color: #5c2d1f;')
+                ui.label(snapshot['error']).classes('factory-muted')
+                ui.button('Initialize Database', on_click=init_db_action).props('unelevated')
+            return
+
+        summary = snapshot['summary']
+        projects = snapshot['projects']
+        correlations = snapshot['correlations']
+        system_logs = snapshot['system_logs']
+
+        with ui.column().classes('factory-shell w-full gap-4 q-pa-lg'):
+            with ui.card().classes('factory-panel w-full q-pa-lg'):
+                with ui.row().classes('items-center justify-between w-full'):
+                    with ui.column().classes('gap-1'):
+                        ui.label('AI Software Factory').style('font-size: 2.3rem; font-weight: 800; color: #302116;')
+                        ui.label('Operational dashboard with project audit, prompt traces, and n8n controls.').classes('factory-muted')
+                    with ui.row().classes('items-center gap-2'):
+                        ui.button('Refresh', on_click=dashboard_body.refresh).props('outline')
+                        ui.button('Initialize DB', on_click=init_db_action).props('unelevated color=dark')
+                        ui.button('Provision n8n Workflow', on_click=setup_n8n_workflow_action).props('unelevated color=accent')
+
+            with ui.grid(columns=4).classes('w-full gap-4'):
+                metrics = [
+                    ('Projects', summary['total_projects'], 'Tracked generation requests'),
+                    ('Completed', summary['completed_projects'], 'Finished project runs'),
+                    ('Prompts', summary['prompt_events'], 'Recorded originating prompts'),
+                    ('Code Changes', summary['code_changes'], 'Audited generated file writes'),
+                ]
+                for title, value, subtitle in metrics:
+                    with ui.card().classes('factory-kpi'):
+                        ui.label(title).style('font-size: 0.78rem; text-transform: uppercase; letter-spacing: 0.08em; opacity: 0.8;')
+                        ui.label(str(value)).style('font-size: 2.1rem; font-weight: 800; margin-top: 6px;')
+                        ui.label(subtitle).style('font-size: 0.9rem; opacity: 0.78; margin-top: 8px;')
+
+            tabs = ui.tabs().classes('w-full')
+            overview_tab = ui.tab('Overview')
+            projects_tab = ui.tab('Projects')
+            trace_tab = ui.tab('Prompt Trace')
+            system_tab = ui.tab('System')
+
+            with ui.tab_panels(tabs, value=overview_tab).classes('w-full'):
+                with ui.tab_panel(overview_tab):
+                    with ui.grid(columns=2).classes('w-full gap-4'):
+                        with ui.card().classes('factory-panel q-pa-lg'):
+                            ui.label('Project Pipeline').style('font-size: 1.25rem; font-weight: 700; color: #3a281a;')
+                            if projects:
+                                for project_bundle in projects[:4]:
+                                    project = project_bundle['project']
+                                    with ui.column().classes('gap-1 q-mt-md'):
+                                        with ui.row().classes('justify-between items-center'):
+                                            ui.label(project['project_name']).style('font-weight: 700; color: #2f241d;')
+                                            ui.label(project['status']).classes('factory-chip')
+                                        ui.linear_progress(value=(project['progress'] or 0) / 100, show_value=False).classes('w-full')
+                                        ui.label(project['message'] or 'No status message').classes('factory-muted')
+                            else:
+                                ui.label('No projects in the database yet.').classes('factory-muted')
+
+                        with ui.card().classes('factory-panel q-pa-lg'):
+                            ui.label('n8n and Runtime').style('font-size: 1.25rem; font-weight: 700; color: #3a281a;')
+                            rows = [
+                                ('Backend URL', settings.backend_public_url),
+                                ('Project Root', str(settings.projects_root)),
+                                ('n8n API URL', _resolve_n8n_api_url() or 'Not configured'),
+                                ('Running Projects', str(summary['running_projects'])),
+                                ('Errored Projects', str(summary['error_projects'])),
+                            ]
+                            for label, value in rows:
+                                with ui.row().classes('justify-between w-full q-mt-sm'):
+                                    ui.label(label).classes('factory-muted')
+                                    ui.label(value).style('font-weight: 600; color: #3a281a;')
+
+                with ui.tab_panel(projects_tab):
+                    if not projects:
+                        with ui.card().classes('factory-panel q-pa-lg'):
+                            ui.label('No project data available yet.').classes('factory-muted')
+                    for project_bundle in projects:
+                        project = project_bundle['project']
+                        with ui.expansion(f"{project['project_name']} · {project['status']}", icon='folder').classes('factory-panel w-full q-mb-md'):
+                            with ui.grid(columns=2).classes('w-full gap-4 q-pa-md'):
+                                with ui.card().classes('q-pa-md'):
+                                    ui.label('Prompt').style('font-weight: 700; color: #3a281a;')
+                                    prompts = project_bundle.get('prompts', [])
+                                    if prompts:
+                                        prompt = prompts[0]
+                                        ui.markdown(f"**Requested features:** {', '.join(prompt['features']) or 'None'}")
+                                        ui.markdown(f"**Tech stack:** {', '.join(prompt['tech_stack']) or 'None'}")
+                                        ui.element('div').classes('factory-code').set_text(prompt['prompt_text'])
+                                    else:
+                                        ui.label('No prompt recorded.').classes('factory-muted')
+
+                                with ui.card().classes('q-pa-md'):
+                                    ui.label('Generated Changes').style('font-weight: 700; color: #3a281a;')
+                                    changes = project_bundle.get('code_changes', [])
+                                    if changes:
+                                        for change in changes:
+                                            with ui.row().classes('justify-between items-start w-full q-mt-sm'):
+                                                ui.label(change['file_path'] or 'unknown file').style('font-weight: 600; color: #2f241d;')
+                                                ui.label(change['action_type']).classes('factory-chip')
+                                            ui.label(change['diff_summary'] or change['details']).classes('factory-muted')
+                                    else:
+                                        ui.label('No code changes recorded.').classes('factory-muted')
+
+                            with ui.grid(columns=2).classes('w-full gap-4 q-pa-md'):
+                                with ui.card().classes('q-pa-md'):
+                                    ui.label('Recent Logs').style('font-weight: 700; color: #3a281a;')
+                                    logs = project_bundle.get('logs', [])[:6]
+                                    if logs:
+                                        for log in logs:
+                                            ui.markdown(f"- {log['timestamp'] or 'n/a'} · {log['level']} · {log['message']}")
+                                    else:
+                                        ui.label('No project logs yet.').classes('factory-muted')
+
+                                with ui.card().classes('q-pa-md'):
+                                    ui.label('Audit Trail').style('font-weight: 700; color: #3a281a;')
+                                    audits = project_bundle.get('audit_trail', [])[:6]
+                                    if audits:
+                                        for audit in audits:
+                                            ui.markdown(f"- {audit['timestamp'] or 'n/a'} · {audit['action']} · {audit['details']}")
+                                    else:
+                                        ui.label('No audit events yet.').classes('factory-muted')
+
+                with ui.tab_panel(trace_tab):
+                    with ui.card().classes('factory-panel q-pa-lg'):
+                        ui.label('Prompt to Code Correlation').style('font-size: 1.25rem; font-weight: 700; color: #3a281a;')
+                        ui.label('Each prompt entry is linked to the generated files recorded after that prompt for the same project.').classes('factory-muted')
+                        if correlations:
+                            for correlation in correlations:
+                                with ui.card().classes('q-pa-md q-mt-md'):
+                                    ui.label(correlation['project_id']).style('font-size: 1rem; font-weight: 700; color: #2f241d;')
+                                    ui.element('div').classes('factory-code q-mt-sm').set_text(correlation['prompt_text'])
+                                    if correlation['changes']:
+                                        for change in correlation['changes']:
+                                            ui.markdown(
+                                                f"- **{change['file_path'] or 'unknown'}** · {change['change_type']} · {change['diff_summary'] or change['details']}"
+                                            )
+                                    else:
+                                        ui.label('No code changes correlated to this prompt yet.').classes('factory-muted')
+                        else:
+                            ui.label('No prompt traces recorded yet.').classes('factory-muted')
+
+                with ui.tab_panel(system_tab):
+                    with ui.grid(columns=2).classes('w-full gap-4'):
+                        with ui.card().classes('factory-panel q-pa-lg'):
+                            ui.label('System Logs').style('font-size: 1.25rem; font-weight: 700; color: #3a281a;')
+                            if system_logs:
+                                for log in system_logs:
+                                    ui.markdown(f"- {log['timestamp'] or 'n/a'} · **{log['component']}** · {log['level']} · {log['message']}")
+                            else:
+                                ui.label('No system logs yet.').classes('factory-muted')
+
+                        with ui.card().classes('factory-panel q-pa-lg'):
+                            ui.label('Important Endpoints').style('font-size: 1.25rem; font-weight: 700; color: #3a281a;')
+                            endpoints = [
+                                '/health',
+                                '/generate',
+                                '/projects',
+                                '/audit/projects',
+                                '/audit/prompts',
+                                '/audit/changes',
+                                '/audit/correlations',
+                                '/n8n/health',
+                                '/n8n/setup',
+                            ]
+                            for endpoint in endpoints:
+                                ui.label(endpoint).classes('factory-code q-mt-sm')
+
+    dashboard_body()
+    ui.timer(10.0, dashboard_body.refresh)
+
+
+def run_app(port=None, reload=False, browser=True, storage_secret=None):
+    """Run the NiceGUI app."""
+    ui.run(title='AI Software Factory Dashboard', port=port, reload=reload, browser=browser, storage_secret=storage_secret)
+
+
+if __name__ in {'__main__', '__console__'}:
+    create_dashboard()
+    run_app()

ai_software_factory/database.py

@@ -1,16 +1,28 @@
 """Database connection and session management."""
 
-from sqlalchemy import create_engine, event
-from sqlalchemy.orm import sessionmaker, Session
-from config import settings
-from models import Base
+from collections.abc import Generator
+from pathlib import Path
+
+from alembic import command
+from alembic.config import Config
+from sqlalchemy import create_engine, event, text
+from sqlalchemy.engine import Engine
+from sqlalchemy.orm import Session, sessionmaker
+
+try:
+    from .config import settings
+    from .models import Base
+except ImportError:
+    from config import settings
+    from models import Base
 
 
-def get_engine() -> create_engine:
+def get_engine() -> Engine:
     """Create and return SQLAlchemy engine with connection pooling."""
     # Use SQLite for tests, PostgreSQL for production
     if settings.USE_SQLITE:
         db_path = settings.SQLITE_DB_PATH or "/tmp/ai_software_factory_test.db"
+        Path(db_path).expanduser().resolve().parent.mkdir(parents=True, exist_ok=True)
         db_url = f"sqlite:///{db_path}"
         # SQLite-specific configuration - no pooling for SQLite
         engine = create_engine(
@@ -47,12 +59,11 @@ def get_engine() -> create_engine:
     return engine
 
 
-def get_session() -> Session:
-    """Create and return database session factory."""
+def get_session() -> Generator[Session, None, None]:
+    """Yield a managed database session."""
     engine = get_engine()
     SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
 
-    def session_factory() -> Session:
     session = SessionLocal()
     try:
         yield session
@@ -63,33 +74,18 @@ def get_session() -> Session:
     finally:
         session.close()
 
-    return session_factory
 
-
-def init_db() -> None:
-    """Initialize database tables."""
-    engine = get_engine()
-    Base.metadata.create_all(bind=engine)
-    print("Database tables created successfully.")
-
-
-def drop_db() -> None:
-    """Drop all database tables (use with caution!)."""
-    engine = get_engine()
-    Base.metadata.drop_all(bind=engine)
-    print("Database tables dropped successfully.")
-
-
-def get_db() -> Session:
+def get_db() -> Generator[Session, None, None]:
     """Dependency for FastAPI routes that need database access."""
+    yield from get_session()
+
+
+def get_db_sync() -> Session:
+    """Get a database session directly (for non-FastAPI/NiceGUI usage)."""
     engine = get_engine()
     SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
-    
     session = SessionLocal()
-    try:
-        yield session
-    finally:
-        session.close()
+    return session
 
 
 def get_db_session() -> Session:
@@ -98,29 +94,115 @@ def get_db_session() -> Session:
     return session
 
 
+def get_alembic_config(database_url: str | None = None) -> Config:
+    """Return an Alembic config bound to the active database URL."""
+    package_root = Path(__file__).resolve().parent
+    alembic_ini = package_root / "alembic.ini"
+    config = Config(str(alembic_ini))
+    config.set_main_option("script_location", str(package_root / "alembic"))
+    config.set_main_option("sqlalchemy.url", database_url or (settings.database_url if not settings.USE_SQLITE else f"sqlite:///{settings.SQLITE_DB_PATH or '/tmp/ai_software_factory_test.db'}"))
+    return config
+
+
+def run_migrations(database_url: str | None = None) -> dict:
+    """Apply Alembic migrations to the configured database."""
+    try:
+        config = get_alembic_config(database_url)
+        command.upgrade(config, "head")
+        return {"status": "success", "message": "Database migrations applied."}
+    except Exception as exc:
+        return {"status": "error", "message": str(exc)}
+
+
+def init_db() -> dict:
+    """Initialize database tables and database if needed."""
+    if settings.USE_SQLITE:
+        result = run_migrations()
+        if result["status"] == "success":
+            print("SQLite database migrations applied successfully.")
+            return {"status": "success", "message": "SQLite database initialized via migrations."}
+        engine = get_engine()
+        try:
+            Base.metadata.create_all(bind=engine)
+            print("SQLite database tables created successfully.")
+            return {"status": "success", "message": "SQLite database initialized with metadata fallback."}
+        except Exception as e:
+            print(f"Error initializing SQLite database: {str(e)}")
+            return {'status': 'error', 'message': f'Error: {str(e)}'}
+    else:
+        # PostgreSQL
+        db_url = settings.POSTGRES_URL or settings.database_url
+        db_name = db_url.split('/')[-1] if '/' in db_url else 'ai_software_factory'
+        
+        try:
+            # Create engine to check/create database
+            engine = create_engine(db_url)
+            
+            # Try to create database if it doesn't exist
+            try:
+                with engine.connect() as conn:
+                    # Check if database exists
+                    result = conn.execute(text(f"SELECT 1 FROM {db_name} WHERE 1=0"))
+                    # If no error, database exists
+                    conn.commit()
+                    print(f"PostgreSQL database '{db_name}' already exists.")
+            except Exception as e:
+                # Database doesn't exist or has different error - try to create it
+                error_msg = str(e).lower()
+                # Only create if it's a relation does not exist error or similar
+                if "does not exist" in error_msg or "database" in error_msg:
+                    try:
+                        conn = engine.connect()
+                        conn.execute(text(f"CREATE DATABASE {db_name}"))
+                        conn.commit()
+                        print(f"PostgreSQL database '{db_name}' created.")
+                    except Exception as db_error:
+                        print(f"Could not create database: {str(db_error)}")
+                        # Try to connect anyway - maybe using existing db name
+                        engine = create_engine(db_url.replace(f'/{db_name}', '/postgres'))
+                        with engine.connect() as conn:
+                            # Just create tables in postgres database for now
+                            print(f"Using existing 'postgres' database.")
+
+            migration_result = run_migrations(db_url)
+            if migration_result["status"] == "success":
+                print(f"PostgreSQL database '{db_name}' migrations applied successfully.")
+                return {'status': 'success', 'message': f'PostgreSQL database "{db_name}" initialized via migrations.'}
+
+            Base.metadata.create_all(bind=engine)
+            print(f"PostgreSQL database '{db_name}' tables created successfully.")
+            return {'status': 'success', 'message': f'PostgreSQL database "{db_name}" initialized with metadata fallback.'}
+        
+        except Exception as e:
+            print(f"Error initializing PostgreSQL database: {str(e)}")
+            return {'status': 'error', 'message': f'Error: {str(e)}'}
+
+
+def drop_db() -> dict:
+    """Drop all database tables (use with caution!)."""
+    if settings.USE_SQLITE:
+        engine = get_engine()
+        try:
+            Base.metadata.drop_all(bind=engine)
+            print("SQLite database tables dropped successfully.")
+            return {'status': 'success', 'message': 'SQLite tables dropped.'}
+        except Exception as e:
+            print(f"Error dropping SQLite tables: {str(e)}")
+            return {'status': 'error', 'message': str(e)}
+    else:
+        db_url = settings.POSTGRES_URL or settings.database_url
+        db_name = db_url.split('/')[-1] if '/' in db_url else 'ai_software_factory'
+        
+        try:
+            engine = create_engine(db_url)
+            Base.metadata.drop_all(bind=engine)
+            print(f"PostgreSQL database '{db_name}' tables dropped successfully.")
+            return {'status': 'success', 'message': f'PostgreSQL "{db_name}" tables dropped.'}
+        except Exception as e:
+            print(f"Error dropping PostgreSQL tables: {str(e)}")
+            return {'status': 'error', 'message': str(e)}
+
+
 def create_migration_script() -> str:
     """Generate a migration script for database schema changes."""
-    return '''-- Migration script for AI Software Factory database
--- Generated automatically - review before applying
-
--- Add new columns to existing tables if needed
--- This is a placeholder for future migrations
-
--- Example: Add audit_trail_index for better query performance
-CREATE INDEX IF NOT EXISTS idx_audit_trail_timestamp ON audit_trail(timestamp);
-CREATE INDEX IF NOT EXISTS idx_audit_trail_action ON audit_trail(action);
-CREATE INDEX IF NOT EXISTS idx_audit_trail_project ON audit_trail(project_id);
-
--- Example: Add user_actions_index for better query performance
-CREATE INDEX IF NOT EXISTS idx_user_actions_timestamp ON user_actions(timestamp);
-CREATE INDEX IF NOT EXISTS idx_user_actions_actor ON user_actions(actor_type, actor_name);
-CREATE INDEX IF NOT EXISTS idx_user_actions_history ON user_actions(history_id);
-
--- Example: Add project_logs_index for better query performance
-CREATE INDEX IF NOT EXISTS idx_project_logs_timestamp ON project_logs(timestamp);
-CREATE INDEX IF NOT EXISTS idx_project_logs_level ON project_logs(log_level);
-
--- Example: Add system_logs_index for better query performance
-CREATE INDEX IF NOT EXISTS idx_system_logs_timestamp ON system_logs(timestamp);
-CREATE INDEX IF NOT EXISTS idx_system_logs_component ON system_logs(component);
-'''
+    return """See ai_software_factory/alembic/versions for managed schema migrations."""

ai_software_factory/docker-compose.yml

@@ -1,88 +0,0 @@
-version: '3.8'
-
-services:
-  ai-software-factory:
-    build:
-      context: .
-      dockerfile: Containerfile
-    ports:
-      - "8000:8000"
-    environment:
-      - HOST=0.0.0.0
-      - PORT=8000
-      - OLLAMA_URL=http://ollama:11434
-      - OLLAMA_MODEL=llama3
-      - GITEA_URL=${GITEA_URL:-https://gitea.yourserver.com}
-      - GITEA_TOKEN=${GITEA_TOKEN:-}
-      - GITEA_OWNER=${GITEA_OWNER:-ai-test}
-      - GITEA_REPO=${GITEA_REPO:-ai-test}
-      - N8N_WEBHOOK_URL=${N8N_WEBHOOK_URL:-}
-      - N8N_API_URL=${N8N_API_URL:-}
-      - N8N_USER=${N8N_USER:-}
-      - N8N_PASSWORD=${N8N_PASSWORD:-}
-      - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN:-}
-      - TELEGRAM_CHAT_ID=${TELEGRAM_CHAT_ID:-}
-      - POSTGRES_HOST=postgres
-      - POSTGRES_PORT=5432
-      - POSTGRES_USER=${POSTGRES_USER:-ai_software_factory}
-      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-}
-      - POSTGRES_DB=${POSTGRES_DB:-ai_software_factory}
-      - LOG_LEVEL=${LOG_LEVEL:-INFO}
-      - DB_POOL_SIZE=${DB_POOL_SIZE:-10}
-      - DB_MAX_OVERFLOW=${DB_MAX_OVERFLOW:-20}
-      - DB_POOL_RECYCLE=${DB_POOL_RECYCLE:-3600}
-      - DB_POOL_TIMEOUT=${DB_POOL_TIMEOUT:-30}
-    depends_on:
-      - postgres
-    networks:
-      - ai-test-network
-
-  postgres:
-    image: postgres:15-alpine
-    environment:
-      - POSTGRES_USER=${POSTGRES_USER:-ai_software_factory}
-      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-}
-      - POSTGRES_DB=${POSTGRES_DB:-ai_software_factory}
-    volumes:
-      - postgres_data:/var/lib/postgresql/data
-    ports:
-      - "5432:5432"
-    networks:
-      - ai-test-network
-    # Health check for PostgreSQL
-    healthcheck:
-      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-ai_software_factory} -d ${POSTGRES_DB:-ai_software_factory}"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
-
-  n8n:
-    image: n8nio/n8n:latest
-    ports:
-      - "5678:5678"
-    environment:
-      - N8N_HOST=n8n
-      - N8N_PORT=5678
-      - N8N_PROTOCOL=http
-    volumes:
-      - n8n_data:/home/node/.n8n
-    networks:
-      - ai-test-network
-
-  ollama:
-    image: ollama/ollama:latest
-    ports:
-      - "11434:11434"
-    volumes:
-      - ollama_data:/root/.ollama
-    networks:
-      - ai-test-network
-
-volumes:
-  postgres_data:
-  n8n_data:
-  ollama_data:
-
-networks:
-  ai-test-network:
-    driver: bridge

ai_software_factory/frontend.py

@@ -0,0 +1,36 @@
+"""Frontend module for NiceGUI with FastAPI integration.
+
+This module provides the NiceGUI frontend that can be initialized with a FastAPI app.
+The dashboard shown is from dashboard_ui.py with real-time database data.
+"""
+
+from fastapi import FastAPI
+
+from nicegui import app, ui
+
+try:
+    from .dashboard_ui import create_dashboard
+except ImportError:
+    from dashboard_ui import create_dashboard
+
+
+def init(fastapi_app: FastAPI, storage_secret: str = 'Secr2t!') -> None:
+    """Initialize the NiceGUI frontend with the FastAPI app.
+    
+    Args:
+        fastapi_app: The FastAPI application instance.
+        storage_secret: Optional secret for persistent user storage.
+    """
+    
+    @ui.page('/show')
+    def show():
+        create_dashboard()
+        
+        # NOTE dark mode will be persistent for each user across tabs and server restarts
+        ui.dark_mode().bind_value(app.storage.user, 'dark_mode')
+        ui.checkbox('dark mode').bind_value(app.storage.user, 'dark_mode')
+    
+    ui.run_with(
+        fastapi_app,
+        storage_secret=storage_secret,  # NOTE setting a secret is optional but allows for persistent storage per user
+    )

ai_software_factory/models.py

@@ -10,7 +10,10 @@ from sqlalchemy import (
 )
 from sqlalchemy.orm import relationship, declarative_base
 
-from ai_software_factory.config import settings
+try:
+    from .config import settings
+except ImportError:
+    from config import settings
 
 Base = declarative_base()
 logger = logging.getLogger(__name__)
@@ -52,6 +55,7 @@ class ProjectHistory(Base):
     ui_snapshots = relationship("UISnapshot", back_populates="project_history", cascade="all, delete-orphan")
     pull_requests = relationship("PullRequest", back_populates="project_history", cascade="all, delete-orphan")
     pull_request_data = relationship("PullRequestData", back_populates="project_history", cascade="all, delete-orphan")
+    prompt_code_links = relationship("PromptCodeLink", back_populates="project_history", cascade="all, delete-orphan")
 
 
 class ProjectLog(Base):
@@ -145,6 +149,22 @@ class AuditTrail(Base):
     metadata_json = Column(JSON, nullable=True)
 
 
+class PromptCodeLink(Base):
+    """Explicit lineage between a prompt event and a resulting code change."""
+    __tablename__ = "prompt_code_links"
+
+    id = Column(Integer, primary_key=True)
+    history_id = Column(Integer, ForeignKey("project_history.id"), nullable=False)
+    project_id = Column(String(255), nullable=False)
+    prompt_audit_id = Column(Integer, nullable=False)
+    code_change_audit_id = Column(Integer, nullable=False)
+    file_path = Column(String(500), nullable=True)
+    change_type = Column(String(50), nullable=True)
+    created_at = Column(DateTime, default=datetime.utcnow)
+
+    project_history = relationship("ProjectHistory", back_populates="prompt_code_links")
+
+
 class UserAction(Base):
     """User action audit entries."""
     __tablename__ = "user_actions"

ai_software_factory/requirements.txt

@@ -1,10 +1,10 @@
-fastapi==0.109.0
+fastapi>=0.135.3
 uvicorn[standard]==0.27.0
 sqlalchemy==2.0.25
 psycopg2-binary==2.9.9
-pydantic==2.5.3
+pydantic==2.12.5
 pydantic-settings==2.1.0
-python-multipart==0.0.6
+python-multipart==0.0.22
 aiofiles==23.2.1
 python-telegram-bot==20.7
 requests==2.31.0
@@ -15,3 +15,7 @@ isort==5.13.2
 flake8==6.1.0
 mypy==1.7.1
 httpx==0.25.2
+nicegui==3.9.0
+aiohttp>=3.9.0
+pytest-asyncio>=0.23.0
+alembic>=1.14.0

ai_software_factory/start.sh

@@ -0,0 +1,17 @@
+#!/usr/bin/env bash
+
+# use path of this example as working directory; enables starting this script from anywhere
+cd "$(dirname "$0")"
+
+if [ "$1" = "prod" ]; then
+    echo "Starting Uvicorn server in production mode..."
+    # we also use a single worker in production mode so socket.io connections are always handled by the same worker
+    uvicorn main:app --workers 1 --log-level info --port 80
+elif [ "$1" = "dev" ]; then
+    echo "Starting Uvicorn server in development mode..."
+    # reload implies workers = 1
+    uvicorn main:app --reload --log-level debug --port 8000
+else
+    echo "Invalid parameter. Use 'prod' or 'dev'."
+    exit 1
+fi

ai_software_factory/test-project/README.md

@@ -1,11 +0,0 @@
-# test-project
-
-Test project description
-
-## Features
-- feature-1
-- feature-2
-
-## Tech Stack
-- python
-- fastapi

ai_software_factory/test-project/main.py

@@ -1,2 +0,0 @@
-# Generated by AI Software Factory
-print('Hello, World!')