diff --git a/.gitignore b/.gitignore index 5bb52dcf..4458d6bf 100644 --- a/.gitignore +++ b/.gitignore @@ -195,3 +195,9 @@ dev.ipynb # CodeBeaver reports and artifacts .codebeaver + +# Web app +node_modules/ +logs/ +webapp/frontend/dist/ +webapp/backend/logs/ diff --git a/launcher.py b/launcher.py new file mode 100644 index 00000000..6174e6b8 --- /dev/null +++ b/launcher.py @@ -0,0 +1,337 @@ +""" +ScrapeGraphAI All-in-One Launcher. + +Checks system requirements, auto-installs missing deps, +creates persistent Chrome profile, and starts the stack. + +Usage: + python launcher.py + python launcher.py --poe + python launcher.py --backend-only + python launcher.py --skip-checks +""" + +import argparse +import json +import os +import shutil +import socket +import subprocess +import sys +import time +import urllib.request +from pathlib import Path + +HERE = Path(__file__).resolve().parent +WEBAPP_DIR = HERE / "webapp" +BACKEND_DIR = WEBAPP_DIR / "backend" +FRONTEND_DIR = WEBAPP_DIR / "frontend" + + +NOT_FOUND_MSG = "No free port found in range {}-{}" + + +def find_free_port(start: int = 8000, max_attempts: int = 50) -> int: + for port in range(start, start + max_attempts): + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + if s.connect_ex(("127.0.0.1", port)) != 0: + return port + raise RuntimeError(NOT_FOUND_MSG.format(start, start + max_attempts)) + + +def _find_cmd(name: str) -> str: + found = shutil.which(name) + if found: + return found + raise FileNotFoundError(f"'{name}' not found on PATH") + + +def poe_available() -> bool: + try: + subprocess.run( + [_find_cmd("poe"), "--version"], + capture_output=True, + text=True, + timeout=5, + check=False, + ) + return True + except (FileNotFoundError, subprocess.TimeoutExpired): + return False + + +def ensure_poe() -> None: + if not poe_available(): + print("poethepoet not found. Installing...", flush=True) + subprocess.run( + [sys.executable, "-m", "pip", "install", "poethepoet"], + check=True, + ) + + +def start_backend_native(port: int, frontend_port: int) -> subprocess.Popen: + env = os.environ.copy() + env["SCRAPEGRAPHAI_TELEMETRY_ENABLED"] = "false" + env["FRONTEND_PORT"] = str(frontend_port) + print(f"[backend] Starting on port {port}...", flush=True) + return subprocess.Popen( + [sys.executable, "-m", "uvicorn", "app.main:app", + "--host", "127.0.0.1", "--port", str(port), "--reload"], + cwd=str(BACKEND_DIR), + env=env, + ) + + +def start_backend_poe(port: int, frontend_port: int) -> subprocess.Popen: + poe = _find_cmd("poe") + env = os.environ.copy() + env["SCRAPEGRAPHAI_TELEMETRY_ENABLED"] = "false" + env["FRONTEND_PORT"] = str(frontend_port) + print(f"[backend] Starting on port {port} via poe...", flush=True) + return subprocess.Popen( + [poe, "web-backend"], + cwd=str(BACKEND_DIR), + env=env, + ) + + +def _find_npx() -> str: + npx = shutil.which("npx") + if npx: + return npx + raise FileNotFoundError("npx not found. Install Node.js (npm ships with npx)") + + +def start_frontend_native(port: int, backend_port: int) -> subprocess.Popen: + npx = _find_npx() + env = os.environ.copy() + env["VITE_BACKEND_URL"] = f"http://127.0.0.1:{backend_port}" + print(f"[frontend] Starting on port {port}, backend -> {backend_port}...", flush=True) + return subprocess.Popen( + [npx, "vite", "--port", str(port), "--host", "127.0.0.1"], + cwd=str(FRONTEND_DIR), + env=env, + ) + + +def start_frontend_poe(port: int, backend_port: int) -> subprocess.Popen: + poe = _find_cmd("poe") + env = os.environ.copy() + env["VITE_BACKEND_URL"] = f"http://127.0.0.1:{backend_port}" + print(f"[frontend] Starting on port {port}, backend -> {backend_port} via poe...", flush=True) + return subprocess.Popen( + [poe, "web-frontend"], + cwd=str(FRONTEND_DIR), + env=env, + ) + + +HEALTH_OK = 200 + + +def wait_for_backend(port: int, timeout: int = 30) -> bool: + deadline = time.time() + timeout + while time.time() < deadline: + try: + resp = urllib.request.urlopen( + f"http://127.0.0.1:{port}/api/health", + timeout=2, + ) + if resp.status == HEALTH_OK: + return True + except Exception: + pass + time.sleep(1) + return False + + +HEALTHY_HEADER = "─" * 56 + + +def print_healthy(backend_port: int, frontend_port: int) -> None: + print(HEALTHY_HEADER, flush=True) + print(f" Backend -> http://127.0.0.1:{backend_port}/docs", flush=True) + print(f" Frontend -> http://127.0.0.1:{frontend_port}", flush=True) + print(" Press Ctrl+C to stop all services", flush=True) + print(HEALTHY_HEADER, flush=True) + + +def cleanup_procs(procs: list[subprocess.Popen]) -> None: + for p in procs: + if p.poll() is None: + p.terminate() + try: + p.wait(timeout=5) + except subprocess.TimeoutExpired: + p.kill() + + +def start_backend(args: argparse.Namespace, backend_port: int, frontend_port: int) -> subprocess.Popen | None: + if args.frontend_only: + return None + if args.poe: + return start_backend_poe(backend_port, frontend_port) + return start_backend_native(backend_port, frontend_port) + + +def start_frontend(args: argparse.Namespace, frontend_port: int, backend_port: int) -> subprocess.Popen | None: + if args.backend_only: + return None + if args.poe: + return start_frontend_poe(frontend_port, backend_port) + return start_frontend_native(frontend_port, backend_port) + + +def wait_for_health_or_warn(backend_port: int) -> None: + print("[launcher] Waiting for backend to be ready...", flush=True) + if wait_for_backend(backend_port): + print(f"[launcher] Backend ready at http://127.0.0.1:{backend_port}", flush=True) + else: + print("[launcher] Backend did not become ready in time", flush=True) + + +# ── System checks ────────────────────────────────────────────────────── +SCRAPEGRAPH_DIR = Path.home() / ".scrapegraph" +CHROME_PROFILE_DIR = SCRAPEGRAPH_DIR / "chrome-profile" +STORAGE_STATE_DIR = SCRAPEGRAPH_DIR / "chrome-data" +STORAGE_STATE_FILE = STORAGE_STATE_DIR / "storage_state.json" + + +def check_chrome() -> bool: + """Check if Chrome/Chromium is available on the system.""" + candidates = [ + "chrome", "chromium", "google-chrome", "google-chrome-stable", + r"C:\Program Files\Google\Chrome\Application\chrome.exe", + r"C:\Program Files (x86)\Google\Chrome\Application\chrome.exe", + ] + for cmd in candidates: + try: + shutil.which(cmd) + return True + except Exception: + pass + if os.path.isfile(cmd): + return True + return False + + +def check_playwright_browsers() -> bool: + """Check if Playwright has Chromium installed.""" + try: + result = subprocess.run( + [sys.executable, "-m", "playwright", "install", "--dry-run"], + capture_output=True, text=True, timeout=15, + ) + return "chromium" not in result.stdout and "already" in result.stdout + except Exception: + return False + + +def ensure_scrapegraph_dirs(): + """Create ~/.scrapegraph/ directory structure.""" + CHROME_PROFILE_DIR.mkdir(parents=True, exist_ok=True) + STORAGE_STATE_DIR.mkdir(parents=True, exist_ok=True) + print(f"[setup] Chrome profile: {CHROME_PROFILE_DIR}") + print(f"[setup] Cookie cache: {STORAGE_STATE_FILE}") + + +def ensure_playwright_browsers(): + """Install Playwright browsers if missing.""" + if check_playwright_browsers(): + print("[setup] Playwright browsers already installed.") + return + print("[setup] Installing Playwright browsers (chromium)...") + subprocess.run( + [sys.executable, "-m", "playwright", "install", "chromium"], + check=True, timeout=120, + ) + + +def ensure_deps(): + """Check and install missing Python dependencies.""" + required = [ + "undetected-playwright", + ] + for pkg in required: + try: + __import__(pkg.replace("-", "_")) + print(f"[setup] {pkg} OK") + except ImportError: + print(f"[setup] Installing {pkg}...") + subprocess.run( + [sys.executable, "-m", "pip", "install", pkg], + check=True, timeout=60, + ) + + +def system_check(args) -> bool: + """Run all system checks, return False if critical issues found.""" + print("─" * 56) + print(" ScrapeGraphAI System Check") + print("─" * 56) + + chrome_ok = check_chrome() + if chrome_ok: + print("[✓] Chrome/Chromium found") + else: + print("[✗] Chrome/Chromium not found") + print(" Install Chrome from https://www.google.com/chrome/") + print(" Some features may not work without Chrome.") + + ensure_scrapegraph_dirs() + ensure_deps() + ensure_playwright_browsers() + + print("─" * 56) + return True + + +def main() -> None: + parser = argparse.ArgumentParser(description="ScrapeGraphAI All-in-One Launcher") + parser.add_argument("--poe", action="store_true", help="Use poethepoet task runner") + parser.add_argument("--backend-only", action="store_true") + parser.add_argument("--frontend-only", action="store_true") + parser.add_argument("--backend-port", type=int, default=None) + parser.add_argument("--frontend-port", type=int, default=5173) + parser.add_argument("--skip-checks", action="store_true") + args = parser.parse_args() + + if not args.skip_checks: + system_check(args) + + if args.poe: + ensure_poe() + + backend_port = args.backend_port or find_free_port(8000) + frontend_port = args.frontend_port + + procs: list[subprocess.Popen] = [] + + try: + p = start_backend(args, backend_port, frontend_port) + if p is not None: + procs.append(p) + wait_for_health_or_warn(backend_port) + + p = start_frontend(args, frontend_port, backend_port) + if p is not None: + procs.append(p) + + print_healthy(backend_port, frontend_port) + + if not procs: + print("[launcher] No services started. Use --backend-only, --frontend-only, or neither.", flush=True) + return + + while all(p.poll() is None for p in procs): + time.sleep(1) + + except KeyboardInterrupt: + print("\n[launcher] Shutting down...", flush=True) + finally: + cleanup_procs(procs) + print("[launcher] All services stopped.", flush=True) + + +if __name__ == "__main__": + main() diff --git a/pyproject.toml b/pyproject.toml index aa791f89..c8939ec9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -121,3 +121,14 @@ ignore_missing_imports = true [tool.poe.tasks] pylint-local = "pylint scraperaphai/**/*.py" pylint-ci = "pylint --disable=C0114,C0115,C0116 --exit-zero scrapegraphai/**/*.py" + +[tool.poe.tasks.web-backend] +script = "uvicorn app.main:app --host 127.0.0.1 --port 8000 --reload" +working-directory = "webapp/backend" + +[tool.poe.tasks.web-frontend] +cmd = "npm run dev" +working-directory = "webapp/frontend" + +[tool.poe.tasks.web] +sequence = ["web-backend", "web-frontend"] diff --git a/webapp/backend/Dockerfile b/webapp/backend/Dockerfile new file mode 100644 index 00000000..a6e942ae --- /dev/null +++ b/webapp/backend/Dockerfile @@ -0,0 +1,7 @@ +FROM python:3.12-slim +WORKDIR /app +COPY backend/pyproject.toml . +RUN pip install --no-cache-dir -e .. +RUN pip install --no-cache-dir fastapi uvicorn[standard] crawl4ai +COPY backend/ . +CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/webapp/backend/app/__init__.py b/webapp/backend/app/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/webapp/backend/app/routers/__init__.py b/webapp/backend/app/routers/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/webapp/backend/app/routers/logs.py b/webapp/backend/app/routers/logs.py new file mode 100644 index 00000000..6aebd3a5 --- /dev/null +++ b/webapp/backend/app/routers/logs.py @@ -0,0 +1,24 @@ +from typing import Annotated + +from fastapi import APIRouter, Query, Response + +from .. import schemas +from ..services import logging_service + +router = APIRouter(prefix="/api", tags=["logs"]) + + +@router.get("/logs", response_model=list[schemas.LogEntry]) +def get_logs( + level: Annotated[list[str] | None, Query(title="Filter by level")] = None, + limit: Annotated[int, Query(ge=1, le=1000)] = 100, + after: Annotated[str | None, Query(title="Only entries after this ISO timestamp")] = None, +) -> list[schemas.LogEntry]: + levels: tuple[str, ...] | None = tuple(level) if level else None + return logging_service.read_logs(levels=levels, limit=limit, after=after) + + +@router.delete("/logs") +def clear_logs() -> Response: + logging_service.clear_logs() + return Response(status_code=204) diff --git a/webapp/backend/app/routers/models.py b/webapp/backend/app/routers/models.py new file mode 100644 index 00000000..b0566f44 --- /dev/null +++ b/webapp/backend/app/routers/models.py @@ -0,0 +1,16 @@ +from fastapi import APIRouter + +from .. import schemas +from ..services import logging_service +from ..services.model_discovery import discover_ollama_models + +LOG = "api" +router = APIRouter(prefix="/api", tags=["models"]) + + +@router.get("/models", response_model=schemas.ModelInfo) +def list_models() -> schemas.ModelInfo: + logging_service.info(LOG, "GET /api/models") + models = discover_ollama_models() + logging_service.info(LOG, f"GET /api/models → {len(models)} available") + return schemas.ModelInfo(ollama_models=models) diff --git a/webapp/backend/app/routers/scraping.py b/webapp/backend/app/routers/scraping.py new file mode 100644 index 00000000..3c2fbc6e --- /dev/null +++ b/webapp/backend/app/routers/scraping.py @@ -0,0 +1,18 @@ +import uuid + +from fastapi import APIRouter + +from .. import schemas +from ..services import logging_service, scraper + +LOG = "api" +router = APIRouter(prefix="/api", tags=["scraping"]) + + +@router.post("/scrape", response_model=schemas.ScrapeResponse) +def scrape(req: schemas.ScrapeRequest) -> schemas.ScrapeResponse: + request_id = uuid.uuid4().hex[:8] + logging_service.info(LOG, f"[{request_id}] POST /api/scrape source={req.source} llm={req.llm.provider}/{req.llm.model}") + result = scraper.run_scrape(req) + logging_service.info(LOG, f"[{request_id}] → {result.status}") + return result diff --git a/webapp/backend/app/schemas.py b/webapp/backend/app/schemas.py new file mode 100644 index 00000000..4652bbbf --- /dev/null +++ b/webapp/backend/app/schemas.py @@ -0,0 +1,74 @@ +from __future__ import annotations + +from enum import Enum +from typing import Any + +from pydantic import BaseModel, Field + + +class BackendType(str, Enum): + playwright = "playwright" + crawl4ai = "crawl4ai" + obscura = "obscura" + + +class LLMConfig(BaseModel): + provider: str = Field(..., description="e.g. ollama, openai, deepseek") + model: str = Field(..., description="e.g. llama3.2, gpt-4o") + api_key: str | None = None + model_tokens: int = 8192 + + +class Crawl4AIConfig(BaseModel): + output_format: str = "markdown" + headless: bool = True + page_timeout: int = 30000 + + +class ObscuraConfig(BaseModel): + cdp_url: str = "ws://127.0.0.1:9222/devtools/browser" + auto_start: str | None = None + + +class BackendConfig(BaseModel): + type: BackendType = BackendType.playwright + headless: bool = True + proxy: dict | None = None + crawl4ai: Crawl4AIConfig | None = None + obscura: ObscuraConfig | None = None + + +class ScrapeRequest(BaseModel): + prompt: str = Field(..., min_length=1) + source: str = Field(..., min_length=1) + llm: LLMConfig + backend: BackendConfig = Field(default_factory=BackendConfig) + + +class ScrapeResponse(BaseModel): + status: str + data: Any = None + error: str | None = None + execution_info: Any = None + + +class ModelInfo(BaseModel): + ollama_models: list[str] = [] + providers: list[str] = [ + "openai", "azure_openai", "ollama", "deepseek", + "anthropic", "google_genai", "groq", "mistralai", + "bedrock", "oneapi", "xai", "nvidia", "clod", "minimax", + ] + + +class LogEntry(BaseModel): + ts: str + level: str + module: str + message: str + traceback: str | None = None + + +class HealthResponse(BaseModel): + status: str = "ok" + version: str = "0.1.0" diff --git a/webapp/backend/app/services/__init__.py b/webapp/backend/app/services/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/webapp/backend/app/services/logging_service.py b/webapp/backend/app/services/logging_service.py new file mode 100644 index 00000000..93ab63d4 --- /dev/null +++ b/webapp/backend/app/services/logging_service.py @@ -0,0 +1,98 @@ +""" +Structured JSON-lines logging service. + +Writes to logs/scrapegraphai.log with automatic rotation at 10MB. +Each entry: {"ts":"ISO8601","level":"INFO","module":"name","message":"...","traceback":"..."} +""" + +import datetime +import json +import logging +import traceback as tb_mod +from pathlib import Path + +_LOG_DIR = Path(__file__).resolve().parents[2] / "logs" +_LOG_FILE = _LOG_DIR / "scrapegraphai.log" +_MAX_BYTES = 10 * 1024 * 1024 # 10 MB +_LOG_LEVEL = logging.DEBUG + +_LOG_DIR.mkdir(parents=True, exist_ok=True) + + +def _rotate_if_needed() -> None: + if _LOG_FILE.exists() and _LOG_FILE.stat().st_size > _MAX_BYTES: + suffix = f".{datetime.datetime.now(datetime.UTC).strftime('%Y%m%d-%H%M%S')}.log" + backup = _LOG_FILE.with_suffix(suffix) + _LOG_FILE.rename(backup) + + +def _write(level: str, module: str, message: str, exc_info: str | None = None) -> None: + _rotate_if_needed() + entry = { + "ts": datetime.datetime.now(datetime.UTC).isoformat(), + "level": level, + "module": module, + "message": message, + } + if exc_info: + entry["traceback"] = exc_info + with _LOG_FILE.open("a", encoding="utf-8") as f: + f.write(json.dumps(entry, ensure_ascii=False) + "\n") + + +def debug(module: str, message: str) -> None: + _write("DEBUG", module, message) + + +def info(module: str, message: str) -> None: + _write("INFO", module, message) + + +def warning(module: str, message: str) -> None: + _write("WARNING", module, message) + + +def error(module: str, message: str, exc: BaseException | None = None) -> None: + tb = tb_mod.format_exc() if exc is None else "".join(tb_mod.TracebackException.from_exception(exc).format()) + _write("ERROR", module, message, exc_info=tb) + + +def critical(module: str, message: str, exc: BaseException | None = None) -> None: + tb = tb_mod.format_exc() if exc is None else "".join(tb_mod.TracebackException.from_exception(exc).format()) + _write("CRITICAL", module, message, exc_info=tb) + + +LogLevel = str +LogEntry = dict + + +def read_logs( + levels: tuple[str, ...] | None = None, + limit: int = 100, + after: str | None = None, +) -> list[LogEntry]: + if not _LOG_FILE.exists(): + return [] + entries: list[LogEntry] = [] + with _LOG_FILE.open("r", encoding="utf-8") as f: + for raw_line in f: + line = raw_line.strip() + if not line: + continue + try: + entry: LogEntry = json.loads(line) + except json.JSONDecodeError: + continue + if levels and entry.get("level") not in levels: + continue + if after and entry.get("ts", "") <= after: + continue + entries.append(entry) + return entries[-limit:] + + +def clear_logs() -> bool: + if _LOG_FILE.exists(): + _LOG_FILE.unlink() + return True + return False diff --git a/webapp/backend/app/services/model_discovery.py b/webapp/backend/app/services/model_discovery.py new file mode 100644 index 00000000..25488308 --- /dev/null +++ b/webapp/backend/app/services/model_discovery.py @@ -0,0 +1,42 @@ +import subprocess + +from . import logging_service + +LOG = "model_discovery" + + +def discover_ollama_models() -> list[str]: + logging_service.debug(LOG, "Discovering local ollama models") + try: + result = subprocess.run( + ["ollama", "list"], + capture_output=True, + text=True, + timeout=5, + check=False, + ) + if result.returncode != 0: + logging_service.warning(LOG, f"ollama list exited with code {result.returncode}: {result.stderr.strip()}") + return [] + + lines = result.stdout.strip().splitlines() + if len(lines) < 2: # noqa: PLR2004 + return [] + + models = [] + for line in lines[1:]: + parts = line.split() + if parts: + name = parts[0].rstrip("/") + models.append(name) + + logging_service.info(LOG, f"Discovered {len(models)} ollama models") + logging_service.debug(LOG, f"Models: {models}") + return sorted(models) + + except FileNotFoundError: + logging_service.warning(LOG, "ollama binary not found in PATH") + return [] + except subprocess.TimeoutExpired: + logging_service.warning(LOG, "ollama list timed out after 5s") + return [] diff --git a/webapp/backend/app/services/scraper.py b/webapp/backend/app/services/scraper.py new file mode 100644 index 00000000..83a114e4 --- /dev/null +++ b/webapp/backend/app/services/scraper.py @@ -0,0 +1,66 @@ +import traceback + +from scrapegraphai.graphs import SmartScraperGraph + +from .. import schemas +from . import logging_service + +LOG = "scraper" + + +def run_scrape(req: schemas.ScrapeRequest) -> schemas.ScrapeResponse: + llm_id = f"{req.llm.provider}/{req.llm.model}" + logging_service.info(LOG, f"Starting scrape: source={req.source} llm={llm_id} backend={req.backend.type.value}") + + try: + llm_config = { + "model": llm_id, + "model_tokens": req.llm.model_tokens, + } + if req.llm.api_key and req.llm.provider != "ollama": + api_key_field = f"{req.llm.provider}_api_key" + llm_config[api_key_field] = req.llm.api_key + logging_service.debug(LOG, f"Using {req.llm.provider} LLM with API key") + + graph_config: dict = { + "llm": llm_config, + "headless": req.backend.headless, + } + + if req.backend.proxy: + graph_config["loader_kwargs"] = {"proxy": req.backend.proxy} + logging_service.debug(LOG, "Proxy configured") + + if req.backend.type in ("crawl4ai", "obscura"): + exp_cfg: dict = {"backend": req.backend.type.value} + if req.backend.type == "crawl4ai" and req.backend.crawl4ai: + exp_cfg["crawl4ai"] = req.backend.crawl4ai.model_dump(exclude_none=True) + logging_service.debug(LOG, f"Crawl4AI config: {exp_cfg['crawl4ai']}") + elif req.backend.type == "obscura" and req.backend.obscura: + exp_cfg["obscura"] = req.backend.obscura.model_dump(exclude_none=True) + logging_service.debug(LOG, f"Obscura config: {exp_cfg['obscura']}") + graph_config["experimental"] = exp_cfg + + graph = SmartScraperGraph( + prompt=req.prompt, + source=req.source, + config=graph_config, + ) + + result = graph.run() + logging_service.info(LOG, f"Scrape completed successfully for {req.source}") + logging_service.debug(LOG, f"Result keys: {list(result.keys()) if isinstance(result, dict) else type(result).__name__}") + + return schemas.ScrapeResponse( + status="success", + data=result, + execution_info=graph.get_execution_info(), + ) + + except Exception as exc: + logging_service.error(LOG, f"Scrape failed for {req.source}: {exc}", exc=exc) + return schemas.ScrapeResponse( + status="error", + error=f"{type(exc).__name__}: {exc}", + execution_info={"traceback": traceback.format_exc()}, + ) diff --git a/webapp/backend/pyproject.toml b/webapp/backend/pyproject.toml new file mode 100644 index 00000000..6e68da04 --- /dev/null +++ b/webapp/backend/pyproject.toml @@ -0,0 +1,16 @@ +[project] +name = "scrapegraphai-web" +version = "0.1.0" +description = "Enterprise-grade web UI for ScrapeGraphAI" +requires-python = ">=3.12" + +dependencies = [ + "fastapi>=0.115.0", + "uvicorn[standard]>=0.34.0", + "pydantic>=2.0.0", + "scrapegraphai @ file:///${PROJECT_ROOT}", + "crawl4ai>=0.8.0", +] + +[project.optional-dependencies] +dev = ["httpx", "pytest"] diff --git a/webapp/docker-compose.yml b/webapp/docker-compose.yml new file mode 100644 index 00000000..865a832e --- /dev/null +++ b/webapp/docker-compose.yml @@ -0,0 +1,25 @@ +services: + backend: + build: + context: . + dockerfile: backend/Dockerfile + ports: + - "8000:8000" + environment: + - SCRAPEGRAPHAI_TELEMETRY_ENABLED=false + volumes: + - ./backend:/app + command: uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload + + frontend: + build: + context: . + dockerfile: frontend/Dockerfile + ports: + - "5173:5173" + volumes: + - ./frontend:/app + - /app/node_modules + depends_on: + - backend + command: npm run dev -- --host 0.0.0.0 diff --git a/webapp/frontend/Dockerfile b/webapp/frontend/Dockerfile new file mode 100644 index 00000000..71f54579 --- /dev/null +++ b/webapp/frontend/Dockerfile @@ -0,0 +1,6 @@ +FROM node:24-alpine +WORKDIR /app +COPY frontend/package.json . +RUN npm install +COPY frontend/ . +CMD ["npm", "run", "dev", "--", "--host", "0.0.0.0"] diff --git a/webapp/frontend/package-lock.json b/webapp/frontend/package-lock.json new file mode 100644 index 00000000..a73ce2d8 --- /dev/null +++ b/webapp/frontend/package-lock.json @@ -0,0 +1,3621 @@ +{ + "name": "scrapegraphai-web", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "scrapegraphai-web", + "version": "0.1.0", + "dependencies": { + "@radix-ui/react-select": "^2.2.0", + "@radix-ui/react-slot": "^1.2.0", + "@radix-ui/react-switch": "^1.1.5", + "@radix-ui/react-tabs": 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+ }, + "peerDependenciesMeta": { + "picomatch": { + "optional": true + } + } + }, + "node_modules/vite/node_modules/picomatch": { + "version": "4.0.4", + "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.4.tgz", + "integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/sponsors/jonschlinkert" + } + }, + "node_modules/yallist": { + "version": "3.1.1", + "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz", + "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==", + "dev": true, + "license": "ISC" + } + } +} diff --git a/webapp/frontend/package.json b/webapp/frontend/package.json new file mode 100644 index 00000000..cc05fd19 --- /dev/null +++ b/webapp/frontend/package.json @@ -0,0 +1,32 @@ +{ + "name": "scrapegraphai-web", + "private": true, + "version": "0.1.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc -b && vite build", + "preview": "vite preview" + }, + "dependencies": { + "react": "^19.0.0", + "react-dom": "^19.0.0", + "lucide-react": "^0.500.0", + "@radix-ui/react-select": "^2.2.0", + "@radix-ui/react-tabs": "^1.1.5", + "@radix-ui/react-switch": "^1.1.5", + "@radix-ui/react-slot": "^1.2.0", + "clsx": "^2.1.1", + "tailwind-merge": "^3.3.0" + }, + "devDependencies": { + "@types/react": "^19.0.0", + "@types/react-dom": "^19.0.0", + "@vitejs/plugin-react": "^4.4.0", + "autoprefixer": "^10.4.20", + "postcss": "^8.5.0", + "tailwindcss": "^3.4.17", + "typescript": "~5.8.0", + "vite": "^6.3.0" + } +} diff --git a/webapp/frontend/postcss.config.js b/webapp/frontend/postcss.config.js new file mode 100644 index 00000000..2e7af2b7 --- /dev/null +++ b/webapp/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/webapp/frontend/src/App.tsx b/webapp/frontend/src/App.tsx new file mode 100644 index 00000000..e737d3dd --- /dev/null +++ b/webapp/frontend/src/App.tsx @@ -0,0 +1,13 @@ +import ScraperForm from './components/ScraperForm' +import LogViewer from './components/LogViewer' +import TutorialModal from './components/TutorialModal' + +export default function App() { + return ( +
+ + + +
+ ) +} diff --git a/webapp/frontend/src/components/BackendSelector.tsx b/webapp/frontend/src/components/BackendSelector.tsx new file mode 100644 index 00000000..8f63cead --- /dev/null +++ b/webapp/frontend/src/components/BackendSelector.tsx @@ -0,0 +1,71 @@ +import type { BackendType } from '../types' + +interface Props { + value: { + type: BackendType + headless: boolean + output_format: string + cdp_url: string + } + onChange: (v: Props['value']) => void +} + +export default function BackendSelector({ value, onChange }: Props) { + const isCrawl4ai = value.type === 'crawl4ai' + const isObscura = value.type === 'obscura' + + return ( +
+

Backend

+
+ {(['playwright', 'crawl4ai', 'obscura'] as const).map(t => ( + + ))} +
+ + {isCrawl4ai && ( +
+ + +
+ )} + {isObscura && ( +
+ + onChange({ ...value, cdp_url: e.target.value })} + className="w-full bg-zinc-800 border border-zinc-700 rounded-lg px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-emerald-500 placeholder-zinc-600" + /> +
+ )} +
+ ) +} diff --git a/webapp/frontend/src/components/LogViewer.tsx b/webapp/frontend/src/components/LogViewer.tsx new file mode 100644 index 00000000..6097a0ee --- /dev/null +++ b/webapp/frontend/src/components/LogViewer.tsx @@ -0,0 +1,392 @@ +import { useCallback, useEffect, useMemo, useRef, useState } from 'react' +import type { LogEntry } from '../types' +import { fetchLogs } from '../lib/api' + +const BACKEND_URL = import.meta.env.VITE_BACKEND_URL || 'http://127.0.0.1:8000' + +const LEVEL_COLORS: Record = { + DEBUG: 'text-zinc-400', + INFO: 'text-sky-400', + WARNING: 'text-amber-400', + ERROR: 'text-red-400', + CRITICAL: 'text-red-500 font-bold', +} + +const LEVEL_BG: Record = { + DEBUG: 'bg-zinc-800/30', + INFO: 'bg-sky-500/10', + WARNING: 'bg-amber-500/10', + ERROR: 'bg-red-500/10', + CRITICAL: 'bg-red-500/20', +} + +const ALL_LEVELS = ['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'] as const + +function relativeTime(iso: string): string { + const diff = Date.now() - new Date(iso).getTime() + const sec = Math.floor(diff / 1000) + if (sec < 10) return 'just now' + if (sec < 60) return `${sec}s ago` + const min = Math.floor(sec / 60) + if (min < 60) return `${min}m ago` + const hr = Math.floor(min / 60) + if (hr < 24) return `${hr}h ago` + return `${Math.floor(hr / 24)}d ago` +} + +function formatTime(ts: string) { + return new Date(ts).toLocaleTimeString('tr-TR', { hour12: false }) +} + +function copyToClipboard(text: string) { + navigator.clipboard.writeText(text) +} + +export default function LogViewer() { + const [open, setOpen] = useState(false) + const [logs, setLogs] = useState([]) + const [levelFilter, setLevelFilter] = useState>(new Set(['WARNING', 'ERROR', 'CRITICAL'])) + const [moduleFilter, setModuleFilter] = useState>(new Set()) + const [searchQuery, setSearchQuery] = useState('') + const [autoRefresh, setAutoRefresh] = useState(true) + const [fullscreen, setFullscreen] = useState(false) + const [userScrolledUp, setUserScrolledUp] = useState(false) + const containerRef = useRef(null) + const bottomRef = useRef(null) + + const filtered = useMemo(() => { + let result = logs + if (levelFilter.size > 0) { + result = result.filter(e => levelFilter.has(e.level)) + } + if (moduleFilter.size > 0) { + result = result.filter(e => moduleFilter.has(e.module)) + } + if (searchQuery.trim()) { + const q = searchQuery.toLowerCase() + result = result.filter(e => + e.message.toLowerCase().includes(q) || + e.module.toLowerCase().includes(q) || + e.level.toLowerCase().includes(q) + ) + } + return result + }, [logs, levelFilter, moduleFilter, searchQuery]) + + const availableModules = useMemo(() => { + const set = new Set() + for (const e of logs) set.add(e.module) + return Array.from(set).sort() + }, [logs]) + + const levelCounts = useMemo(() => { + const counts: Record = { DEBUG: 0, INFO: 0, WARNING: 0, ERROR: 0, CRITICAL: 0 } + for (const e of logs) counts[e.level] = (counts[e.level] || 0) + 1 + return counts + }, [logs]) + + const fetchAndSet = useCallback(async () => { + try { + const levels = levelFilter.size > 0 ? Array.from(levelFilter) : undefined + const data = await fetchLogs({ level: levels, limit: 500 }) + setLogs(data.reverse()) + } catch { } + }, [levelFilter]) + + useEffect(() => { + if (!open) return + fetchAndSet() + if (!autoRefresh) return + const interval = setInterval(fetchAndSet, 3000) + return () => clearInterval(interval) + }, [open, fetchAndSet, autoRefresh]) + + // Auto-scroll to bottom only when user hasn't manually scrolled up + useEffect(() => { + if (open && !userScrolledUp) { + bottomRef.current?.scrollIntoView({ behavior: 'smooth' }) + } + }, [filtered, open, userScrolledUp]) + + const handleScroll = useCallback(() => { + const el = containerRef.current + if (!el) return + const isNearBottom = el.scrollHeight - el.scrollTop - el.clientHeight < 60 + if (isNearBottom !== !userScrolledUp) { + setUserScrolledUp(!isNearBottom) + } + }, [userScrolledUp]) + + const toggleLevel = (level: string) => { + const next = new Set(levelFilter) + if (next.has(level)) next.delete(level) + else next.add(level) + setLevelFilter(next) + } + + const toggleModule = (mod: string) => { + const next = new Set(moduleFilter) + if (next.has(mod)) next.delete(mod) + else next.add(mod) + setModuleFilter(next) + } + + const clearLogs = async () => { + try { + await fetch(`${BACKEND_URL}/api/logs`, { method: 'DELETE' }) + setLogs([]) + } catch { } + } + + return ( + <> + {/* Floating button */} + + + {/* Modal */} + {open && ( +
+
setOpen(false)} /> +
+ {/* Header */} +
+
+

Debug Logs

+ {filtered.length} entries +
+
+ + + + + +
+
+ + {/* Level summary bar */} +
+ {ALL_LEVELS.map(l => { + const count = levelCounts[l] + const active = levelFilter.has(l) + return ( + + ) + })} +
+ + {/* Search + module filter row */} +
+
+ + + + setSearchQuery(e.target.value)} + placeholder="Search messages, modules, levels..." + className="w-full bg-zinc-800 border border-zinc-700 rounded-lg pl-8 pr-3 py-1.5 text-xs focus:outline-none focus:ring-1 focus:ring-emerald-500 placeholder-zinc-600" + /> + {searchQuery && ( + + )} +
+ {moduleFilter.size > 0 && ( + + )} +
+ + {/* Module filter chips */} + {availableModules.length > 0 && ( +
+ Modules: + {availableModules.map(mod => { + const active = moduleFilter.has(mod) + return ( + + ) + })} +
+ )} + + {/* Log entries */} +
+ {logs.length === 0 && ( +

No log entries yet

+ )} + {logs.length > 0 && filtered.length === 0 && ( +

No entries match the current filters

+ )} +
+ {filtered.map((entry, i) => ( + + ))} +
+
+
+
+
+ )} + + ) +} + +function LogEntryRow({ entry }: { entry: LogEntry }) { + const [copied, setCopied] = useState(false) + + const handleCopy = () => { + const text = `[${entry.ts}] [${entry.level}] [${entry.module}] ${entry.message}${entry.traceback ? '\n' + entry.traceback : ''}` + copyToClipboard(text) + setCopied(true) + setTimeout(() => setCopied(false), 1500) + } + + const msg = entry.message + const mod = entry.module + const time = formatTime(entry.ts) + const relative = relativeTime(entry.ts) + + return ( +
+ {/* Timestamp */} + + {time} + + + {relative} + + + {/* Level */} + + {entry.level} + + + {/* Module */} + + {mod} + + + {/* Message + optional traceback */} + + {msg} + {entry.traceback && ( +
+ + ⓘ + + 
+              {entry.traceback}
+
+
+ )} + + + {/* Copy button */} + +
+ ) +} diff --git a/webapp/frontend/src/components/ModelSelector.tsx b/webapp/frontend/src/components/ModelSelector.tsx new file mode 100644 index 00000000..3b6c0bbb --- /dev/null +++ b/webapp/frontend/src/components/ModelSelector.tsx @@ -0,0 +1,95 @@ +import { useEffect, useState } from 'react' +import type { ModelInfo } from '../types' +import { fetchModels } from '../lib/api' + +interface Props { + value: { provider: string; model: string; api_key: string; model_tokens: number } + onChange: (v: Props['value']) => void +} + +const KNOWN_PROVIDERS = [ + { id: 'ollama', label: 'Ollama', needsKey: false }, + { id: 'openai', label: 'OpenAI', needsKey: true }, + { id: 'deepseek', label: 'DeepSeek', needsKey: true }, + { id: 'anthropic', label: 'Anthropic', needsKey: true }, + { id: 'google_genai', label: 'Google GenAI', needsKey: true }, + { id: 'groq', label: 'Groq', needsKey: true }, + { id: 'mistralai', label: 'Mistral', needsKey: true }, + { id: 'xai', label: 'xAI', needsKey: true }, +] + +export default function ModelSelector({ value, onChange }: Props) { + const [models, setModels] = useState({ ollama_models: [], providers: [] }) + + useEffect(() => { + fetchModels().then(setModels).catch(() => {}) + }, []) + + const providerInfo = KNOWN_PROVIDERS.find(p => p.id === value.provider) + + return ( +
+

Language Model

+
+
+ + +
+
+ + {value.provider === 'ollama' && models.ollama_models.length > 0 ? ( + + ) : ( + onChange({ ...value, model: e.target.value })} + placeholder={value.provider === 'ollama' ? 'e.g. llama3.2 (ollama not running?)' : 'e.g. gpt-4o'} + className="w-full bg-zinc-800 border border-zinc-700 rounded-lg px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-emerald-500 placeholder-zinc-600" + /> + )} +
+
+ {providerInfo?.needsKey && ( +
+ + onChange({ ...value, api_key: e.target.value })} + placeholder={`${providerInfo.label} API key`} + className="w-full bg-zinc-800 border border-zinc-700 rounded-lg px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-emerald-500 placeholder-zinc-600" + /> +
+ )} +
+ + onChange({ ...value, model_tokens: Number(e.target.value) })} + className="w-full bg-zinc-800 border border-zinc-700 rounded-lg px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-emerald-500" + min={1} + max={128000} + /> +
+
+ ) +} diff --git a/webapp/frontend/src/components/ResultViewer.tsx b/webapp/frontend/src/components/ResultViewer.tsx new file mode 100644 index 00000000..a317d9be --- /dev/null +++ b/webapp/frontend/src/components/ResultViewer.tsx @@ -0,0 +1,95 @@ +import { useState } from 'react' +import type { ScrapeResponse } from '../types' + +interface Props { + result: ScrapeResponse | null + loading: boolean +} + +export default function ResultViewer({ result, loading }: Props) { + if (loading) { + return ( +
+

Result

+
+
+
+
+
+
+ ) + } + + if (!result) { + return ( +
+

Result

+

Configure your scraping job and click Run Scraper

+
+ ) + } + + if (result.status === 'error') { + return ( +
+

Error

+ 
{result.error}
+
+ ) + } + + const json = JSON.stringify(result.data, null, 2) + const [showRaw, setShowRaw] = useState(false) + + return ( +
+
+

Result

+ +
+ {showRaw ? ( + 
{json}
+ ) : ( +
+ {renderData(result.data)} +
+ )} +
+ ) +} + +function renderData(data: unknown, depth = 0): React.ReactNode { + if (data === null || data === undefined) return null + if (typeof data === 'string') return "{data}" + if (typeof data === 'number' || typeof data === 'boolean') return {String(data)} + if (Array.isArray(data)) { + return ( +
+ {data.map((item, i) => ( +
0 ? 12 : 0 }}> + {i}. +
{renderData(item, depth + 1)}
+
+ ))} +
+ ) + } + if (typeof data === 'object') { + return ( +
+ {Object.entries(data as Record).map(([key, val]) => ( +
+
{key}
+
{renderData(val, depth + 1)}
+
+ ))} +
+ ) + } + return {String(data)} +} diff --git a/webapp/frontend/src/components/ScraperForm.tsx b/webapp/frontend/src/components/ScraperForm.tsx new file mode 100644 index 00000000..bdc674e9 --- /dev/null +++ b/webapp/frontend/src/components/ScraperForm.tsx @@ -0,0 +1,133 @@ +import { useState } from 'react' +import type { BackendType, ScrapeRequest, ScrapeResponse } from '../types' +import { scrape } from '../lib/api' +import ModelSelector from './ModelSelector' +import BackendSelector from './BackendSelector' +import ResultViewer from './ResultViewer' + +export default function ScraperForm() { + const [prompt, setPrompt] = useState('Extract the main heading and paragraph') + const [source, setSource] = useState('https://example.com') + const [llm, setLlm] = useState({ provider: 'ollama', model: '', api_key: '', model_tokens: 8192 }) + const [backend, setBackend] = useState<{ + type: BackendType + headless: boolean + output_format: string + cdp_url: string + }>({ + type: 'playwright', + headless: true, + output_format: 'markdown', + cdp_url: 'ws://127.0.0.1:9222/devtools/browser', + }) + const [result, setResult] = useState(null) + const [loading, setLoading] = useState(false) + const [error, setError] = useState('') + + const handleScrape = async () => { + setError('') + setLoading(true) + setResult(null) + try { + const body: ScrapeRequest = { + prompt, + source, + llm: { + provider: llm.provider, + model: llm.model || (llm.provider === 'ollama' ? 'llama3.2' : 'gpt-4o'), + api_key: llm.api_key || undefined, + model_tokens: llm.model_tokens, + }, + backend: { + type: backend.type, + headless: backend.headless, + }, + } + if (backend.type === 'crawl4ai') { + body.backend.crawl4ai = { output_format: backend.output_format, headless: backend.headless, page_timeout: 30000 } + } + if (backend.type === 'obscura') { + body.backend.obscura = { cdp_url: backend.cdp_url } + } + const res = await scrape(body) + setResult(res) + } catch (e) { + setError(e instanceof Error ? e.message : String(e)) + } finally { + setLoading(false) + } + } + + return ( +
+
+

+ ScrapeGraphAI +

+

Enterprise-grade web scraping with LLM-powered extraction

+
+ +
+
+
+
+ +