Managed Flask: app.py, index.html, CI workflow

site/app.py

@@ -0,0 +1,96 @@
+import os
+import io
+import sys
+import json
+import zipfile
+from flask import Flask, render_template, request, send_file, jsonify
+
+# Добавляем корень в sys.path чтобы import drhider работал
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from drhider import obfuscate_files
+
+app = Flask(__name__)
+
+VERSION = "1.0.0"
+
+MAX_BODY = 200 * 1024 * 1024  # 200 MB
+
+
+class LLMClient:
+    """LLM-клиент для drhider (обнаружение компаний/ФИО)."""
+
+    def __init__(self):
+        import httpx
+        self._httpx = httpx
+
+    def complete(self, prompt: str) -> str:
+        key = os.environ.get("LLM_KEY") or os.environ.get("LLM_API_KEY", "")
+        r = self._httpx.post(
+            os.environ.get("LLM_URL", "https://api.aillm.ru/v1/chat/completions"),
+            json={
+                "model": os.environ.get("LLM_MODEL", "gpt-oss-120b"),
+                "messages": [{"role": "user", "content": prompt}],
+                "max_tokens": 8000,
+                "temperature": 0.1,
+            },
+            headers={
+                "Authorization": f"Bearer {key}",
+                "Content-Type": "application/json",
+            },
+            timeout=120,
+        )
+        r.raise_for_status()
+        return r.json()["choices"][0]["message"]["content"]
+
+
+@app.route("/")
+def index():
+    return render_template("index.html", version=VERSION)
+
+
+@app.route("/health")
+def health():
+    return jsonify({"ok": True, "version": VERSION})
+
+
+@app.route("/api/drhider", methods=["POST"])
+def api_drhider():
+    """Обфускация: multipart/form-data с файлами → ZIP."""
+    uploaded = request.files.getlist("files")
+    if not uploaded:
+        return jsonify({"ok": False, "error": "Нет файлов"}), 400
+
+    files = []
+    for f in uploaded:
+        if f.filename:
+            files.append((f.filename, f.read(), f.mimetype or ""))
+
+    if not files:
+        return jsonify({"ok": False, "error": "Нет файлов"}), 400
+
+    try:
+        llm = LLMClient()
+        zip_data, _csv = obfuscate_files(files, llm_client=llm)
+        return send_file(
+            io.BytesIO(zip_data),
+            mimetype="application/zip",
+            as_attachment=True,
+            download_name="drhider_output.zip",
+        )
+    except Exception as e:
+        import traceback
+        traceback.print_exc()
+        return jsonify({"ok": False, "error": str(e)}), 500
+
+
+if __name__ == "__main__":
+    import subprocess
+    subprocess.run([
+        sys.executable, "-m", "gunicorn", "app:app",
+        "--bind", "0.0.0.0:5000",
+        "--worker-class", "gevent",
+        "--workers", "1",
+        "--worker-connections", "1000",
+        "--timeout", "300",
+    ])