Initial commit syncing local server with Hugging Face Space

.env

@@ -0,0 +1,3 @@
+STATIC_FILES_DIR=/app/static
+FLASK_APP=backend.app
+FLASK_ENV=production

Dockerfile

@@ -1,18 +1,34 @@
-# Base image
-FROM python:3.11-slim
+# --- Backend Build Stage ---
+FROM python:3.9-slim as backend
+WORKDIR /app
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+COPY backend/ ./backend
+COPY routes/ ./routes
+COPY templates/ ./templates
+COPY static/ ./static
 
-# Set work directory
+# --- Frontend Build Stage ---
+FROM node:18 as frontend
+WORKDIR /app
+COPY frontend/agentic-dashboard/package*.json ./
+RUN npm install --legacy-peer-deps
+COPY frontend/agentic-dashboard/ .
+RUN npm run build
+
+# --- Final Runtime Stage ---
+FROM python:3.9-slim
 WORKDIR /app
 
-# Install dependencies
 COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+RUN pip install --no-cache-dir --force-reinstall -r requirements.txt
 
-# Copy source code
-COPY . .
+# Copy backend + frontend artifacts
+COPY --from=backend /app /app
+COPY --from=frontend /app/dist/agentic-dashboard /app/static
 
-# Expose FastAPI app
-EXPOSE 8000
+# Set Flask app and expose port
+ENV FLASK_APP=backend.app
+EXPOSE 5000
 
-# Start FastAPI server
-CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "8000"]
+CMD ["uvicorn", "backend.app:app", "--host", "0.0.0.0", "--port", "5000"]

angular-fix-prod.sh

@@ -0,0 +1,64 @@
+#!/bin/bash
+
+# Angular Project Structure Fixer
+# Version 1.3 - Production Ready
+
+# Fix component files
+fix_angular_files() {
+  # Fix app.component.ts
+  local component_ts="src/app/app.component.ts"
+  if [ -f "$component_ts" ]; then
+    if ! grep -q 'templateUrl' "$component_ts"; then
+      echo "🔄 Fixing app.component.ts"
+      cat > "$component_ts" <<EOF
+import { Component } from '@angular/core';
+
+@Component({
+  selector: 'app-root',
+  templateUrl: './app.component.html',
+  styleUrls: ['./app.component.css']
+})
+export class AppComponent {
+  title = 'agentic-dashboard';
+}
+EOF
+    fi
+  fi
+
+  # Fix app.component.html
+  local component_html="src/app/app.component.html"
+  if [ -f "$component_html" ]; then
+    if ! grep -q 'router-outlet' "$component_html"; then
+      echo "🔄 Fixing app.component.html"
+      echo "<router-outlet></router-outlet>" > "$component_html"
+    fi
+  fi
+}
+
+# Safe file search function
+check_project_structure() {
+  echo "🔍 Checking project structure..."
+  find src \
+    -name "*.ts" -o \
+    -name "*.html" -o \
+    -name "*.css" \
+    -not -path "src/app/*" \
+    -not -path "*/environments/*" \
+    -not -path "*/node_modules/*" \
+    -not -path "*/dist/*" \
+    -print0 | xargs -0 -I {} sh -c 'echo "⚠️  Found file in non-standard location: {}"'
+}
+
+# Main execution
+echo "🚀 Starting Angular project fix..."
+fix_angular_files
+check_project_structure
+
+echo "✅ All fixes applied"
+echo "Running production build..."
+ng build --configuration=production --project=agentic-dashboard
+
+echo "Next steps:"
+echo "1. Check build output above"
+echo "2. Deploy files from dist/ directory"
+echo "3. Configure server routing for Angular"

backend/app.py

@@ -1,36 +1,12 @@
-
-from fastapi import FastAPI, UploadFile, File, Form
+from fastapi import FastAPI, UploadFile, File, Request
 from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
 from pydantic import BaseModel
 import pandas as pd
-import os
-import json
-from core.engine.multiplexing_engine import run_simulation  # must be a callable function
+import os, json
 
-from routes.reddit_auth import router as reddit_router
-from routes.discord_auth import router as discord_router
-from routes.github_auth import router as github_router
-from routes.huggingface_auth import router as hf_router
-from routes.wayback_lookup import router as wayback_router
-from routes.dork_search import router as dork_router
-from routes.exploitdb_lookup import router as exploitdb_router
-app.include_router(reddit_router)
-app.include_router(discord_router)
-app.include_router(github_router)
-app.include_router(hf_router)
-app.include_router(wayback_router)
-app.include_router(dork_router)
-app.include_router(exploitdb_router)
-from routes.reddit_auth import router as reddit_router
-from routes.discord_auth import router as discord_router
-from routes.github_auth import router as github_router
-from routes.huggingface_auth import router as hf_router
-from routes.wayback_lookup import router as wayback_router
-from routes.dork_search import router as dork_router
-from routes.exploitdb_lookup import router as exploitdb_router
-from routes.spreadsheet_intake import router as spreadsheet_router
-from routes.neurocircuit_api import router as neurocircuit_router
-from routes.mindmap_api import router as mindmap_router
+# ----------------- Setup -----------------
 app = FastAPI()
 
 app.add_middleware(
@@ -41,68 +17,65 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-DATA_DIR = os.path.join(os.path.dirname(__file__), "data")
+BASE_DIR = os.path.dirname(__file__)
+DATA_DIR = os.path.join(BASE_DIR, "data")
+FRONTEND_DIST = os.getenv('STATIC_FILES_DIR', '/app/static')
+#FRONTEND_DIST = os.path.join(BASE_DIR, "../frontend/dist/agentic-dashboard")
+CREDENTIALS_PATH = os.path.join(DATA_DIR, "user_credentials.json")
+ADMIN_ENV_PATH = os.path.join(BASE_DIR, "../.env")
 AGENTS_FILE = os.path.join(DATA_DIR, "Agentic_Deployment_Master_Plan_v3.2.csv")
-DIGS_FILE = os.path.join(DATA_DIR, "DIGS_Cognitive_Psychology_Final_Output.csv")
-MATRIX_FILE = os.path.join(DATA_DIR, "matrix.csv")
 
+# ----------------- Models -----------------
 class SimulationInput(BaseModel):
     asset: str
     capital: float
     risk: int
 
-@app.post("/simulate")
-def simulate(input: SimulationInput):
-    try:
-        result = run_simulation(
-            asset=input.asset,
-            capital=input.capital,
-            risk=input.risk,
-            digs_path=DIGS_FILE,
-            matrix_path=MATRIX_FILE
-        )
-        return {"projected_yield": result["yield"], "agent_notes": result.get("notes", "")}
-    except Exception as e:
-        return {"error": str(e)}
+class IntakeData(BaseModel):
+    role: str
+    github: str = None
+    docker: str = None
+    digitalocean: str = None
+    google: str = None
+    notion: str = None
+    custom: str = None
 
+# ----------------- Routes -----------------
+@app.get("/")
+def serve_frontend():
+    index_file = os.path.join(FRONTEND_DIST, "index.html")
+    return FileResponse(index_file)
 
+app.mount("/static", StaticFiles(directory=FRONTEND_DIST), name="static")
 
 @app.get("/agent_status")
 def agent_status():
     try:
         df = pd.read_csv(AGENTS_FILE)
-        enriched_agents = []
-        for idx, row in df.iterrows():
-            enriched_agents.append({
+        enriched = [
+            {
                 "id": f"agent{idx}",
                 "name": row.get("name", f"Agent {idx}"),
                 "traits": row.get("traits", "unspecified"),
                 "risk": int(row.get("risk", 3)),
                 "status": "active",
-                "memory_kb": 0,  # using whole CSV as memory file
-                "endpoints": ["Google", "Notion", "Shodan"]  # example endpoints
-            })
-        return {"active_agents": len(enriched_agents), "agents": enriched_agents}
+                "memory_kb": 0,
+                "endpoints": ["Google", "Notion", "Shodan"]
+            }
+            for idx, row in df.iterrows()
+        ]
+        return {"active_agents": len(enriched), "agents": enriched}
     except Exception as e:
         return {"error": str(e)}
-def agent_status():
-    try:
-        df = pd.read_csv(AGENTS_FILE)
-        enriched_agents = []
-        for _, row in df.iterrows():
-            enriched_agents.append({
-                "name": row.get("name", f"Agent"),
-                "traits": row.get("traits", "unknown"),
-                "risk": row.get("risk", 3),
-                "status": "active"
-            })
-        return {"active_agents": len(enriched_agents), "agents": enriched_agents}
-    except Exception as e:
-        return {"error": str(e)}
-def agent_status():
+
+@app.post("/simulate")
+def simulate(input: SimulationInput):
     try:
-        df = pd.read_csv(AGENTS_FILE)
-        return {"active_agents": len(df), "agents": df.to_dict(orient="records")}
+        projected = input.capital * (1 + input.risk / 10)
+        return {
+            "projected_yield": projected,
+            "agent_notes": f"Simulated projection for {input.asset}"
+        }
     except Exception as e:
         return {"error": str(e)}
 
@@ -110,57 +83,39 @@ def agent_status():
 def upload_csv(file: UploadFile = File(...)):
     try:
         contents = file.file.read()
-        new_path = os.path.join(DATA_DIR, file.filename)
-        with open(new_path, "wb") as f:
+        path = os.path.join(DATA_DIR, file.filename)
+        with open(path, "wb") as f:
             f.write(contents)
-        return {"status": "uploaded", "path": new_path}
+        return {"status": "uploaded", "path": path}
     except Exception as e:
         return {"error": str(e)}
 
-
-
-from fastapi import FastAPI, UploadFile, File, Request
-from fastapi.middleware.cors import CORSMiddleware
-from pydantic import BaseModel
-import os, json
-
-CREDENTIALS_PATH = os.path.join(os.path.dirname(__file__), "data", "user_credentials.json")
-ADMIN_ENV_PATH = os.path.join(os.path.dirname(__file__), "..", ".env")
-
-class IntakeData(BaseModel):
-    role: str
-    github: str = None
-    docker: str = None
-    digitalocean: str = None
-    google: str = None
-    notion: str = None
-    custom: str = None
-
 @app.post("/intake")
 def handle_intake(data: IntakeData):
-    if data.role == "admin":
-        creds = {
-            "GITHUB_TOKEN": data.github,
-            "DOCKER_TOKEN": data.docker,
-            "DO_API_KEY": data.digitalocean
-        }
-        with open(ADMIN_ENV_PATH, "a") as f:
-            for k, v in creds.items():
-                if v:
-                    f.write(f"{k}={v}\n")
-        return {"message": "Admin credentials saved to .env."}
-
-    elif data.role == "user":
-        session_data = {
-            "google": data.google,
-            "notion": data.notion,
-            "custom": data.custom
-        }
-        with open(CREDENTIALS_PATH, "w") as f:
-            json.dump(session_data, f)
-        return {"message": "User session credentials stored."}
-
-    return {"message": "Invalid role or missing data."}
+    try:
+        if data.role == "admin":
+            creds = {
+                "GITHUB_TOKEN": data.github,
+                "DOCKER_TOKEN": data.docker,
+                "DO_API_KEY": data.digitalocean
+            }
+            with open(ADMIN_ENV_PATH, "a") as f:
+                for k, v in creds.items():
+                    if v:
+                        f.write(f"{k}={v}\n")
+            return {"message": "Admin credentials saved to .env."}
+        elif data.role == "user":
+            session_data = {
+                "google": data.google,
+                "notion": data.notion,
+                "custom": data.custom
+            }
+            with open(CREDENTIALS_PATH, "w") as f:
+                json.dump(session_data, f)
+            return {"message": "User session credentials stored."}
+        return {"message": "Invalid role or missing data."}
+    except Exception as e:
+        return {"error": str(e)}
 
 @app.post("/upload_credentials")
 def upload_cred_file(file: UploadFile = File(...)):
@@ -180,25 +135,25 @@ def view_creds():
     except FileNotFoundError:
         return {"error": "No credentials file found."}
 
-app.include_router(google_router)
-
-app.include_router(notion_router)
+# ----------------- Routers -----------------
+from routes.reddit_auth import router as reddit_router
+from routes.discord_auth import router as discord_router
+from routes.github_auth import router as github_router
+from routes.huggingface_auth import router as hf_router
+from routes.wayback_lookup import router as wayback_router
+from routes.dork_search import router as dork_router
+from routes.exploitdb_lookup import router as exploitdb_router
+from routes.spreadsheet_intake import router as spreadsheet_router
+from routes.neurocircuit_api import router as neurocircuit_router
+from routes.mindmap_api import router as mindmap_router
 
 app.include_router(reddit_router)
-
 app.include_router(discord_router)
-
 app.include_router(github_router)
-
 app.include_router(hf_router)
-
 app.include_router(wayback_router)
-
 app.include_router(dork_router)
-
 app.include_router(exploitdb_router)
-
 app.include_router(spreadsheet_router)
-
 app.include_router(neurocircuit_router)
 app.include_router(mindmap_router)

backend/digs_engine/digest_paths/test_segment_001.txt

@@ -0,0 +1 @@
+test segment line

backend/digs_engine/digest_paths/test_segment_001.txt.digested

@@ -0,0 +1,3 @@
+[DIGS] File: test_segment_001.txt
+[DIGS] Length: 18 characters
+[DIGS] Processed paths: Literal, Conceptual, Terminology, Structure, Data, Comparative, Application, CrossRef

backend/digs_engine/digest_segment.py

@@ -1 +1,31 @@
-# Splits large docs into 2000-char segments
+# digest_segment.py
+
+import os
+
+def process_segment(filepath):
+    try:
+        with open(filepath, 'r', encoding='utf-8') as file:
+            data = file.read()
+
+        # Simulated 8-path DIGS processing result
+        result_text = f"[DIGS] File: {os.path.basename(filepath)}\n" \
+                      f"[DIGS] Length: {len(data)} characters\n" \
+                      f"[DIGS] Processed paths: Literal, Conceptual, Terminology, Structure, Data, Comparative, Application, CrossRef\n"
+
+        # Save .digested file
+        digested_path = filepath + ".digested"
+        with open(digested_path, 'w', encoding='utf-8') as out:
+            out.write(result_text)
+
+        print(f"Segment processed: {filepath}")
+
+        # Return structured result for CSV export
+        return {
+            "filename": os.path.basename(filepath),
+            "char_count": len(data),
+            "processed_paths": "Literal, Conceptual, Terminology, Structure, Data, Comparative, Application, CrossRef"
+        }
+
+    except Exception as e:
+        print(f"Error processing {filepath}: {e}")
+        return None

backend/digs_engine/digs_back_daemon.sh

@@ -0,0 +1,12 @@
+#!/bin/bash
+
+# DIGS Daemon Launcher Script
+# Starts the continuous DIGS engine monitor in background
+# Logs output to daemon.log for review
+
+SCRIPT_PATH="/root/late.io/backend/digs_engine/run_digs_daemon.py"
+LOG_PATH="/root/late.io/backend/digs_engine/daemon.log"
+
+echo "Launching DIGS daemon..."
+nohup python3 "$SCRIPT_PATH" > "$LOG_PATH" 2>&1 &
+echo "DIGS daemon started in background. Logs: $LOG_PATH"

backend/digs_engine/digs_daemon_script.sh

@@ -0,0 +1,30 @@
+#!/usr/bin/env python3 import os import time from datetime import datetime from digest_segment import process_segment from export_to_spreadsheet import export_to_csv
+
+SEGMENT_PATH = os.path.join(os.path.dirname(file), "digest_paths") CSV_PATH = os.path.join(os.path.dirname(file), "digs_results.csv") PROCESSED_LOG = os.path.join(os.path.dirname(file), ".digested_files.log")
+
+def load_processed(): if os.path.exists(PROCESSED_LOG): with open(PROCESSED_LOG, 'r') as f: return set(line.strip() for line in f.readlines()) return set()
+
+def save_processed(filename): with open(PROCESSED_LOG, 'a') as f: f.write(filename + "\n")
+
+def append_to_csv(result): import csv exists = os.path.exists(CSV_PATH) with open(CSV_PATH, 'a', newline='', encoding='utf-8') as csvfile: writer = csv.DictWriter(csvfile, fieldnames=["timestamp", "filename", "char_count", "processed_paths"]) if not exists: writer.writeheader() writer.writerow({ "timestamp": datetime.utcnow().isoformat(), **result })
+
+def watch_and_digs(): print("DIGS Daemon running. Watching for new .txt files...") seen = load_processed()
+
+while True:
+    for file in os.listdir(SEGMENT_PATH):
+        if file.endswith(".txt") and file not in seen:
+            full_path = os.path.join(SEGMENT_PATH, file)
+            print(f"Processing new file: {file}")
+            try:
+                result = process_segment(full_path)
+                if result:
+                    append_to_csv(result)
+                    save_processed(file)
+                    print(f"Done: {file}")
+            except Exception as e:
+                print(f"Error processing {file}: {e}")
+    time.sleep(2)
+
+if name == "main": watch_and_digs()
+
+

backend/digs_engine/export_to_spreadsheet.py

@@ -1 +1,20 @@
-# Converts DIGS output JSON to CSV
+# export_to_spreadsheet.py
+
+import csv
+import os
+
+def export_to_csv(data):
+    if not data:
+        print("No data to export. Skipping CSV creation.")
+        return
+
+    output_file = os.path.join(os.path.dirname(__file__), "digs_results.csv")
+
+    try:
+        with open(output_file, mode='w', newline='', encoding='utf-8') as csvfile:
+            writer = csv.DictWriter(csvfile, fieldnames=data[0].keys())
+            writer.writeheader()
+            writer.writerows(data)
+        print(f"CSV export successful: {output_file}")
+    except Exception as e:
+        print(f"Error writing CSV: {e}")

backend/digs_engine/run_digs.py

@@ -1 +1,31 @@
-# Runs 8-path DIGS on each segment
+# run_digs.py
+
+import os
+import time
+from digest_segment import process_segment
+from export_to_spreadsheet import export_to_csv
+
+# Directory containing segment files
+SEGMENT_PATH = os.path.join(os.path.dirname(__file__), "digest_paths")
+
+def run_digs_on_all():
+    print("Starting DIGS engine...")
+    all_results = []
+
+    for filename in os.listdir(SEGMENT_PATH):
+        if filename.endswith(".txt"):
+            filepath = os.path.join(SEGMENT_PATH, filename)
+            print(f"Processing: {filename}")
+            try:
+                result = process_segment(filepath)
+                if result:
+                    all_results.append(result)
+            except Exception as e:
+                print(f"Error processing {filename}: {e}")
+
+    print("Exporting results...")
+    export_to_csv(all_results)
+    print("DIGS processing complete.")
+
+if __name__ == "__main__":
+    run_digs_on_all()

backend/digs_engine/run_digs_daemon.py

@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+import os
+import time
+from datetime import datetime
+from digest_segment import process_segment
+from export_to_spreadsheet import export_to_csv
+
+SEGMENT_PATH = os.path.join(os.path.dirname(__file__), "digest_paths")
+CSV_PATH = os.path.join(os.path.dirname(__file__), "digs_results.csv")
+PROCESSED_LOG = os.path.join(os.path.dirname(__file__), ".digested_files.log")
+
+def load_processed():
+    if os.path.exists(PROCESSED_LOG):
+        with open(PROCESSED_LOG, 'r') as f:
+            return set(line.strip() for line in f.readlines())
+    return set()
+
+def save_processed(filename):
+    with open(PROCESSED_LOG, 'a') as f:
+        f.write(filename + "\n")
+
+def append_to_csv(result):
+    import csv
+    exists = os.path.exists(CSV_PATH)
+    with open(CSV_PATH, 'a', newline='', encoding='utf-8') as csvfile:
+        writer = csv.DictWriter(csvfile, fieldnames=["timestamp", "filename", "char_count", "processed_paths"])
+        if not exists:
+            writer.writeheader()
+        writer.writerow({
+            "timestamp": datetime.utcnow().isoformat(),
+            **result
+        })
+
+def watch_and_digs():
+    print("DIGS Daemon running. Watching for new .txt files...")
+    seen = load_processed()
+
+    while True:
+        for file in os.listdir(SEGMENT_PATH):
+            if file.endswith(".txt") and file not in seen:
+                full_path = os.path.join(SEGMENT_PATH, file)
+                print(f"Processing new file: {file}")
+                try:
+                    result = process_segment(full_path)
+                    if result:
+                        append_to_csv(result)
+                        save_processed(file)
+                        print(f"Done: {file}")
+                except Exception as e:
+                    print(f"Error processing {file}: {e}")
+        time.sleep(2)
+
+if __name__ == "__main__":
+    watch_and_digs()

backend/requirements.txt

@@ -3,8 +3,15 @@ requests
 pandas
 numpy
 fpdf
-webdav3
+easywebdav
 kubernetes
 pyyaml
 stripe
 stable-baselines3
+uvicorn
+jinja2
+python-multipart
+aiofiles
+pydantic
+requests
+httpx

backend/scripts/execution_engine.py

@@ -1,25 +1,2 @@
-
-import json
-
-class AgentExecutionEngine:
-    def __init__(self, agent):
-        self.agent = agent
-
-    def execute(self, env_input: dict):
-        decision = self.agent.decide_behavior(env_input)
-        result = {
-            "agent_id": self.agent.agent_id,
-            "input": env_input,
-            "decision": decision,
-            "log_entry": self._log_to_memory(env_input, decision)
-        }
-        return result
-
-    def _log_to_memory(self, input_data, decision):
-        memory_path = f"memory/{self.agent.agent_id}_memory.csv"
-        try:
-            with open(memory_path, "a") as f:
-                f.write(f"{json.dumps(input_data)},{json.dumps(decision)}\n")
-            return f"Memory updated: {memory_path}"
-        except Exception as e:
-            return f"Memory log failed: {str(e)}"
+def execute_agent_logic():
+    pass

fix_agentic_errors.sh

@@ -0,0 +1,45 @@
+#!/bin/bash
+
+cd ~/late.io
+
+# Create missing scripts directory with placeholder
+mkdir -p scripts
+touch scripts/__init__.py
+cat <<EOF > scripts/execution_engine.py
+def execute_agent_logic():
+    pass
+EOF
+
+# Ensure Dockerfile explicitly uses port 7860 internally
+cat <<EOF > Dockerfile
+FROM python:3.11-slim
+
+WORKDIR /app
+
+COPY ./backend /app/backend
+COPY ./routes /app/routes
+COPY ./scripts /app/scripts
+COPY requirements.txt /app/
+
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+EXPOSE 7860
+
+CMD ["uvicorn", "backend.app:app", "--host", "0.0.0.0", "--port", "7860"]
+EOF
+
+# Remove any old containers and images
+docker stop agentic-app || true
+docker rm agentic-app || true
+docker rmi agentic-app:latest -f || true
+
+# Rebuild Docker image explicitly without cache
+docker build --no-cache -t agentic-app:latest .
+
+# Run the Docker container mapping port 7860 correctly
+docker run -d -p 7860:7860 --name agentic-app agentic-app:latest
+
+# Wait and verify
+sleep 3
+docker logs agentic-app
+docker ps

frontend/agentic-dashboard/angular.json

@@ -0,0 +1,56 @@
+{
+  "$schema": "./node_modules/@angular/cli/lib/config/schema.json",
+  "version": 1,
+  "defaultProject": "agentic-dashboard",
+  "projects": {
+    "agentic-dashboard": {
+      "projectType": "application",
+      "schematics": {},
+      "root": "",
+      "sourceRoot": "src",
+      "prefix": "app",
+      "architect": {
+        "build": {
+          "builder": "@angular-devkit/build-angular:browser",
+          "options": {
+            "outputPath": "dist/agentic-dashboard",
+            "index": "src/index.html",
+            "main": "src/main.ts",
+            "polyfills": "src/polyfills.ts",
+            "tsConfig": "tsconfig.app.json",
+            "assets": ["src/favicon.ico", "src/assets"],
+            "styles": ["src/styles.css"],
+            "scripts": []
+          },
+          "configurations": {
+            "production": {
+              "optimization": true,
+              "outputHashing": "all",
+              "sourceMap": false,
+              "namedChunks": false,
+              "aot": true,
+              "extractLicenses": true,
+              "vendorChunk": false,
+              "buildOptimizer": true,
+              "fileReplacements": [
+                {
+                  "replace": "src/environments/environment.ts",
+                  "with": "src/environments/environment.prod.ts"
+                }
+              ]
+            }
+          }
+        },
+        "serve": {
+          "builder": "@angular-devkit/build-angular:dev-server",
+          "options": {
+            "browserTarget": "agentic-dashboard:build"
+          }
+        }
+      }
+    }
+  },
+  "cli": {
+    "analytics": false
+  }
+}

frontend/agentic-dashboard/deploy_dashboard.sh

@@ -0,0 +1,6 @@
+#!/bin/bash
+cd $(dirname "$0")
+npm install
+ng build --configuration production
+mkdir -p ../../static
+cp -r ./dist/agentic-dashboard/* ../../static/

frontend/agentic-dashboard/dist/agentic-dashboard/3rdpartylicenses.txt

@@ -0,0 +1,238 @@
+@angular/common
+MIT
+
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+MIT
+
+@angular/platform-browser
+MIT
+
+rxjs
+Apache-2.0
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+
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+
+zone.js
+MIT
+The MIT License
+
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+
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+THE SOFTWARE.

frontend/agentic-dashboard/dist/agentic-dashboard/index.html

@@ -0,0 +1 @@
+<!doctype html><html data-critters-container><head><meta charset="utf-8"><title>Agentic Dashboard</title><style>@tailwind base;@tailwind components;@tailwind utilities;body{@apply bg-dark-bg text-white}</style><link rel="stylesheet" href="styles.4a07a471aee040e9.css" media="print" onload="this.media='all'"><noscript><link rel="stylesheet" href="styles.4a07a471aee040e9.css"></noscript></head><body><app-root></app-root><script src="runtime.e476dc6eb7f932f8.js" type="module"></script><script src="polyfills.c0d2b2dc49300de4.js" type="module"></script><script src="main.46a637be0b03da77.js" type="module"></script></body></html>

frontend/agentic-dashboard/dist/agentic-dashboard/main.46a637be0b03da77.js

@@ -0,0 +1 @@
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frontend/agentic-dashboard/dist/agentic-dashboard/runtime.e476dc6eb7f932f8.js

@@ -0,0 +1 @@
+(()=>{"use strict";var e,_={},d={};function n(e){var a=d[e];if(void 0!==a)return a.exports;var r=d[e]={exports:{}};return _[e](r,r.exports,n),r.exports}n.m=_,e=[],n.O=(a,r,u,t)=>{if(!r){var o=1/0;for(f=0;f<e.length;f++){for(var[r,u,t]=e[f],s=!0,l=0;l<r.length;l++)(!1&t||o>=t)&&Object.keys(n.O).every(i=>n.O[i](r[l]))?r.splice(l--,1):(s=!1,t<o&&(o=t));if(s){e.splice(f--,1);var c=u();void 0!==c&&(a=c)}}return a}t=t||0;for(var f=e.length;f>0&&e[f-1][2]>t;f--)e[f]=e[f-1];e[f]=[r,u,t]},n.n=e=>{var a=e&&e.__esModule?()=>e.default:()=>e;return n.d(a,{a}),a},n.d=(e,a)=>{for(var r in a)n.o(a,r)&&!n.o(e,r)&&Object.defineProperty(e,r,{enumerable:!0,get:a[r]})},n.o=(e,a)=>Object.prototype.hasOwnProperty.call(e,a),(()=>{var e={121:0};n.O.j=u=>0===e[u];var a=(u,t)=>{var l,c,[f,o,s]=t,v=0;if(f.some(h=>0!==e[h])){for(l in o)n.o(o,l)&&(n.m[l]=o[l]);if(s)var b=s(n)}for(u&&u(t);v<f.length;v++)n.o(e,c=f[v])&&e[c]&&e[c][0](),e[c]=0;return n.O(b)},r=self.webpackChunkagentic_dashboard=self.webpackChunkagentic_dashboard||[];r.forEach(a.bind(null,0)),r.push=a.bind(null,r.push.bind(r))})()})();

frontend/agentic-dashboard/dist/agentic-dashboard/styles.4a07a471aee040e9.css

@@ -0,0 +1 @@
+@tailwind base;@tailwind components;@tailwind utilities;body{@apply bg-dark-bg text-white;}

frontend/agentic-dashboard/launch_fresh_env.sh

@@ -0,0 +1,32 @@
+#!/bin/bash
+
+# === CONFIGURATION ===
+IMAGE_NAME="agentic_app"
+CONTAINER_NAME="agentic_dashboard"
+FRONTEND_PORT=4200
+BACKEND_PORT=8000
+WORKDIR="/app"
+
+echo "Stopping and removing old container..."
+docker stop $CONTAINER_NAME 2>/dev/null
+docker rm $CONTAINER_NAME 2>/dev/null
+
+echo "Pruning old image..."
+docker image rm $IMAGE_NAME -f 2>/dev/null
+
+echo "Building fresh image from Dockerfile..."
+docker build -t $IMAGE_NAME .
+
+echo "Launching container..."
+docker run -d \
+  --name $CONTAINER_NAME \
+  -p $FRONTEND_PORT:4200 \
+  -p $BACKEND_PORT:8000 \
+  -v $(pwd):$WORKDIR \
+  -w $WORKDIR \
+  $IMAGE_NAME \
+  bash -c "npm install && ng build --configuration=production --project=agentic-dashboard && nohup python3 backend/digs_engine/run_digs.py > backend.log 2>&1 && npx http-server dist/agentic-dashboard -p 4200"
+
+echo "Container '$CONTAINER_NAME' is up and running!"
+echo "Frontend: http://localhost:$FRONTEND_PORT"
+echo "Backend: running DIGS engine in background"

frontend/agentic-dashboard/main.ts

@@ -0,0 +1,5 @@
+import { platformBrowserDynamic } from '@angular/platform-browser-dynamic';
+import { AppModule } from './app/app.module';
+
+platformBrowserDynamic().bootstrapModule(AppModule)
+  .catch(err => console.error(err));

frontend/agentic-dashboard/package.json

@@ -0,0 +1,35 @@
+{
+  "name": "agentic-dashboard",
+  "version": "1.0.0",
+  "scripts": {
+    "ng": "ng",
+    "start": "ng serve",
+    "build": "ng build",
+    "test": "ng test",
+    "lint": "ng lint",
+    "e2e": "ng e2e"
+  },
+  "private": true,
+  "dependencies": {
+    "@angular/animations": "^17.0.0",
+    "@angular/common": "^17.0.0",
+    "@angular/forms": "^17.0.0",
+    "@angular/platform-browser": "^17.0.0",
+    "@angular/platform-browser-dynamic": "^17.0.0",
+    "@angular/router": "^17.0.0",
+    "rxjs": "~7.8.0",
+    "tslib": "^2.6.0",
+    "zone.js": "~0.14.2"
+  },
+  "devDependencies": {
+    "@angular-devkit/build-angular": "^17.3.12",
+    "@angular/cli": "^17.3.12",
+    "@angular/compiler": "^17.3.12",
+    "@angular/compiler-cli": "^17.3.12",
+    "@angular/core": "^17.3.12",
+    "autoprefixer": "^10.4.0",
+    "postcss": "^8.4.0",
+    "tailwindcss": "^3.3.0",
+    "typescript": "^5.2.2"
+  }
+}

frontend/agentic-dashboard/src/app/app.component.ts

@@ -0,0 +1,7 @@
+import { Component } from '@angular/core';
+
+@Component({
+  selector: 'app-root',
+  template: '<router-outlet></router-outlet>' // Basic template
+})
+export class AppComponent {}

frontend/agentic-dashboard/src/app/app.module.ts

@@ -0,0 +1,9 @@
+import { NgModule } from '@angular/core';
+import { BrowserModule } from '@angular/platform-browser';
+
+@NgModule({
+  declarations: [],
+  imports: [BrowserModule],
+  bootstrap: []
+})
+export class AppModule {}

frontend/agentic-dashboard/src/environments/environment.prod.ts

@@ -0,0 +1,4 @@
+export const environment = {
+  production: true,
+  apiUrl: 'https://your-production-api.com/api' // replace with your real production API URL
+};};

frontend/agentic-dashboard/src/environments/environment.ts

@@ -0,0 +1,4 @@
+export const environment = {
+  production: false,
+  apiUrl: 'http://localhost:3000/api' // replace with your dev API URL
+};

frontend/agentic-dashboard/src/index.html

@@ -0,0 +1 @@
+<!doctype html><html><head><meta charset='utf-8'><title>Agentic Dashboard</title></head><body><app-root></app-root></body></html>

frontend/agentic-dashboard/src/main.ts

@@ -0,0 +1,5 @@
+import { platformBrowserDynamic } from '@angular/platform-browser-dynamic';
+import { AppModule } from './app/app.module';
+
+platformBrowserDynamic().bootstrapModule(AppModule)
+  .catch(err => console.error(err));

frontend/agentic-dashboard/src/polyfills.ts

@@ -0,0 +1 @@
+import 'zone.js';

frontend/agentic-dashboard/src/styles.css

@@ -0,0 +1,4 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+body {@apply bg-dark-bg text-white;}

frontend/agentic-dashboard/tsconfig.app.json

@@ -0,0 +1,9 @@
+{
+  "extends": "./tsconfig.json",
+  "compilerOptions": {
+    "outDir": "./out-tsc/app",
+    "types": []
+  },
+  "files": ["src/main.ts", "src/polyfills.ts"],
+  "include": ["src/**/*.d.ts"]
+}

frontend/agentic-dashboard/tsconfig.json

@@ -0,0 +1,17 @@
+{
+  "compileOnSave": false,
+  "compilerOptions": {
+    "baseUrl": "./",
+    "outDir": "./dist/out-tsc",
+    "sourceMap": true,
+    "declaration": false,
+    "downlevelIteration": true,
+    "experimentalDecorators": true,
+    "module": "es2020",
+    "moduleResolution": "node",
+    "importHelpers": true,
+    "target": "es2022",
+    "typeRoots": ["node_modules/@types"],
+    "lib": ["es2022", "dom"]
+  }
+}

frontend/package-lock.json

@@ -0,0 +1,6 @@
+{
+  "name": "frontend",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {}
+}

index.html

@@ -0,0 +1,7 @@
+from flask import Flask, send_from_directory
+
+app = Flask(__name__, static_folder='static', static_url_path='')
+
+@app.route('/')
+def index():
+    return send_from_directory(app.static_folder, 'index.html')

openapi.yaml

@@ -0,0 +1,76 @@
+openapi: 3.0.3
+info:
+  title: Agentic Terraforming API
+  description: REST API for agent lifecycle, system tools, integrations, and sensory control
+  version: 1.1.0
+  contact:
+    name: API Support
+    email: devops@agentic.terra
+servers:
+  - url: http://localhost:7860/api
+    description: Development server
+  - url: https://api.agentic.terra/v1
+    description: Production server
+paths:
+  /agent/upload-spreadsheet:
+    post:
+      tags: [Agent Control]
+      summary: Upload spreadsheet for trait processing
+      security:
+        - OAuthToken: []
+      requestBody:
+        required: true
+        content:
+          multipart/form-data:
+            schema:
+              type: object
+              properties:
+                file:
+                  type: string
+                  format: binary
+                  description: CSV/XLSX file with agent traits
+      responses:
+        '202':
+          description: Upload accepted
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/JobTicket'
+        '401':
+          $ref: '#/components/responses/Unauthorized'
+components:
+  securitySchemes:
+    OAuthToken:
+      type: http
+      scheme: bearer
+      bearerFormat: JWT
+    ApiKey:
+      type: apiKey
+      in: header
+      name: X-API-KEY
+  schemas:
+    JobTicket:
+      type: object
+      properties:
+        job_id:
+          type: string
+          format: uuid
+        status_url:
+          type: string
+          format: uri
+          description: URL to poll for job status
+      required: [job_id]
+  responses:
+    Unauthorized:
+      description: Missing or invalid authentication
+      content:
+        application/json:
+          schema:
+            type: object
+            properties:
+              error:
+                type: string
+                example: "Invalid OAuth token"
+security:
+  - OAuthToken: []
+  - ApiKey: []

package-lock.json

@@ -0,0 +1,6 @@
+{
+  "name": "late.io",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {}
+}