Backup old. Preparation for forking

gpt_interface/ingest.py

@@ -1,52 +0,0 @@
-# ingest_text.py
-import os
-import urllib.parse
-from pathlib import Path
-
-from flask import Blueprint, abort, jsonify, request
-
-bp = Blueprint("ingest_text", __name__)
-BASE = Path(os.getenv("INGEST_DIR", "/home/pi/tmp_git")).resolve()
-BASE.mkdir(parents=True, exist_ok=True)
-TOKEN = None
-with open("/home/pi/gpt_cont_api_key", "r") as f:
-        TOKEN = f.read().strip()
-
-
-# prosty bufor kawałków w RAM (na 1 proces)
-chunks = {}
-
-
-@bp.get("/api/ingest-text")
-def ingest_text():
-    if request.args.get("key") != TOKEN:
-        return jsonify(error="unauthorized"), 401
-
-    name = request.args.get("name", "").strip()
-    index = int(request.args.get("index", "1"))
-    total = int(request.args.get("total", "1"))
-    chunk = request.args.get("chunk", "")
-
-    if not name or "/" in name or ".." in name:
-        return jsonify(error="bad name"), 400
-    if not (1 <= index <= total <= 9999):
-        return jsonify(error="bad indexing"), 400
-
-    # gromadzimy w pamięci (możesz podmienić na Redis)
-    key = f"{name}:{total}"
-    entry = chunks.setdefault(key, {})
-    entry[index] = urllib.parse.unquote_plus(chunk)
-
-    if TOKEN is None:
-         exit("No API token set!")
-    if len(entry) == total:
-        # składamy i zapisujemy
-        data = "".join(entry[i] for i in range(1, total + 1))
-        out = (BASE / name).resolve()
-        if not str(out).startswith(str(BASE)):
-            return jsonify(error="bad path"), 400
-        out.write_text(data, encoding="utf-8")
-        del chunks[key]
-        return jsonify(ok=True, saved=str(out), bytes=len(data.encode("utf-8")))
-    else:
-        return jsonify(pending=True, got=len(entry), total=total)