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Dockerfile

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+FROM python:3.10-slim
+
+ENV PYTHONUNBUFFERED=1 \
+    PIP_NO_CACHE_DIR=1 \
+    HF_HOME=/root/.cache/huggingface
+
+# 必要最低限のOSパッケージ
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git curl ca-certificates build-essential \
+ && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# 依存インストール（分けてキャッシュを効かせる）
+COPY requirements.txt /app/requirements.txt
+RUN pip install --upgrade pip && pip install -r /app/requirements.txt
+
+# アプリ本体
+COPY app.py /app/app.py
+COPY modules /app/modules
+COPY .env.example /app/.env.example
+
+# ポート（HF側で割り当てられるが、明示しておく）
+ENV PORT=7860
+EXPOSE 7860
+
+# Uvicorn で FastAPI(+Gradio) を明示起動
+CMD ["python", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--log-level", "info"]

README.md

@@ -1,10 +1,20 @@
 ---
-title: Agent StudioDocker
-emoji: 🐠
-colorFrom: purple
-colorTo: green
+title: Agent Studio (Docker)
+emoji: 🐳
+colorFrom: indigo
+colorTo: purple
 sdk: docker
+app_port: 7860
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 営業自動化 Agent Studio — Docker版（HF Spaces）
+
+このSpaceは **Docker SDK** で起動します。  
+`Dockerfile` が `uvicorn app:app` を明示起動するため、Spacesの自動検出問題を回避できます。
+
+## 使い方
+1. このリポジトリのファイルを **ルート直下**に配置（サブフォルダ不可）
+2. **Runtime: Docker** を選択
+3. **Rebuild**  
+4. 起動後 `/` にUIが表示されます（「Ping」で疎通確認）

app.py

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+import os, json, traceback
+from typing import List
+from fastapi import FastAPI, Request, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import RedirectResponse, PlainTextResponse
+import gradio as gr
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# ========== 軽量な関数だけ最初に定義 ==========
+def _lazy_imports_for_main():
+    """重い依存はここで遅延 import"""
+    from modules.utils import ensure_dirs
+    ensure_dirs()
+    from modules.rag_indexer import index_files_and_urls
+    from modules.workflow import run_full_workflow
+    from modules.emailer import build_tracking_url
+    return index_files_and_urls, run_full_workflow, build_tracking_url
+
+# Gradio ハンドラ（ボタン押下時にのみ重い import）
+def ui_company_score_and_proposal(company_name: str,
+                                  company_website: str,
+                                  lead_email: str,
+                                  urls_text: str,
+                                  files: List[gr.File] | None,
+                                  custom_objective: str,
+                                  temperature: float = 0.4):
+    try:
+        index_files_and_urls, run_full_workflow, build_tracking_url = _lazy_imports_for_main()
+    except Exception:
+        return "### ❌ 初期化エラー\n```\n" + traceback.format_exc() + "\n```"
+
+    urls = [u.strip() for u in (urls_text or "").splitlines() if u.strip()]
+    file_paths = [f.name for f in (files or [])]
+
+    # 1) インデックス更新
+    try:
+        index_report = index_files_and_urls(file_paths=file_paths, urls=urls)
+    except Exception:
+        index_report = "Index error:\n```\n" + traceback.format_exc() + "\n```"
+
+    # 2) ワークフロー
+    try:
+        result = run_full_workflow(
+            company_name=company_name,
+            company_website=company_website,
+            lead_email=lead_email,
+            objective=custom_objective,
+            temperature=temperature
+        )
+    except Exception:
+        return "### ❌ ワークフロー実行エラー\n```\n" + traceback.format_exc() + "\n```"
+
+    # 3) 表示
+    outputs = []
+    outputs.append("### ✅ 企業スコア\n" + json.dumps(result.get("score", {}), ensure_ascii=False, indent=2))
+    ctxs = result.get("top_contexts", [])
+    outputs.append("### 🧠 抽出コンテキスト（上位）\n" + "\n\n".join([f"- {c[:300]}..." for c in ctxs]))
+    outputs.append("### ✍️ 提案ドラフト\n" + result.get("proposal_markdown", ""))
+
+    ex = result.get("exports", {})
+    outputs.append("### 📎 エクスポート\n" + "\n".join([
+        f"- DOCX: {ex.get('docx_path','')}",
+        f"- PPTX: {ex.get('pptx_path','')}"
+    ]))
+
+    if lead_email:
+        email = result.get("email", {})
+        outputs.append("### ✉️ メール準備\n" + f"To: {lead_email}\nSubject: {email.get('subject','')}\n\n{email.get('body','')}")
+        try:
+            outputs.append(f"（本文内の計測リンク例）\n{build_tracking_url('preview-only', {'company':company_name})}")
+        except Exception:
+            pass
+
+    outputs.append("### 🤖 次アクション提案\n" + result.get("next_actions", ""))
+    outputs.append("### 🧩 インデックス更新ログ\n" + index_report)
+    return "\n\n".join(outputs)
+
+# クリック計測（/t/{token}）
+def _verify_and_log_click(token: str, request: Request):
+    from modules.utils import verify_tracking_token, log_event
+    payload = verify_tracking_token(token)
+    if payload is None:
+        raise HTTPException(status_code=400, detail="invalid token")
+    ip = request.client.host if request.client else "unknown"
+    ua = request.headers.get("User-Agent", "") if request.headers else ""
+    log_event("click", payload, {"ip": ip, "ua": ua})
+    redirect_to = payload.get("redirect") or os.getenv("PUBLIC_BASE_URL", "/")
+    return redirect_to
+
+# ========== Gradio UI ==========
+with gr.Blocks(title="営業自動化 Agent Studio") as demo:
+    gr.Markdown("# 営業自動化 Agent Studio (Docker)")
+    with gr.Row():
+        with gr.Column():
+            company_name = gr.Textbox(label="企業名")
+            company_website = gr.Textbox(label="企業サイトURL")
+            lead_email = gr.Textbox(label="送信先メール（任意）")
+            custom_objective = gr.Textbox(label="提案の目的/狙い（任意）", placeholder="例）SaaS導入の無料PoC打診")
+            urls_text = gr.Textbox(label="RAG用URL（複数は改行）", lines=4)
+            files = gr.File(label="RAG用ファイル（複数可）", file_count="multiple")
+            temperature = gr.Slider(0.0, 1.0, value=0.4, step=0.05, label="生成温度")
+            run_btn = gr.Button("ワークフロー実行", variant="primary")
+        with gr.Column():
+            out = gr.Markdown()
+
+    # 疎通確認（UIが出ればOK。最初にここだけ試すのも可）
+    ping_btn = gr.Button("Ping")
+    ping_out = gr.Markdown()
+    ping_btn.click(lambda: "pong 🎯", None, ping_out)
+
+    run_btn.click(
+        fn=ui_company_score_and_proposal,
+        inputs=[company_name, company_website, lead_email, urls_text, files, custom_objective, temperature],
+        outputs=[out]
+    )
+
+# ========== FastAPI（Gradioをマウント & トラッキング） ==========
+app = FastAPI(title="Agent Studio - Docker SDK")
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"],
+)
+
+# ヘルスチェック
+@app.get("/health", response_class=PlainTextResponse)
+def health():
+    return "ok"
+
+# クリック計測
+@app.get("/t/{token}")
+def track_click(token: str, request: Request):
+    redirect_to = _verify_and_log_click(token, request)
+    return RedirectResponse(url=redirect_to)
+
+# ルート（/）に Gradio を表示
+app = gr.mount_gradio_app(app, demo, path="/")

requirements.txt

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+fastapi==0.111.1
+uvicorn==0.30.6
+gradio==4.44.1
+python-dotenv==1.0.1
+
+# RAG/Embedding
+sentence-transformers==3.0.1
+faiss-cpu==1.8.0.post1
+
+# 生成
+transformers==4.44.2
+torch==2.3.1
+
+# 取得/整形
+requests==2.32.3
+beautifulsoup4==4.12.3
+readability-lxml==0.8.1
+lxml==5.3.0
+lxml_html_clean==0.1.1
+
+# 出力
+python-docx==1.1.2
+python-pptx==0.6.23
+
+# FastAPI 0.111 は Pydantic v2 系
+pydantic>=2,<3