chore: initial commit — existing single-user document scanner codebase

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-22 08:53:28 +02:00
parent 6fed5ba531
commit 7a34807fa0
71 changed files with 16408 additions and 0 deletions
@@ -0,0 +1,51 @@
+import json
+import os
+from pathlib import Path
+
+DATA_DIR = Path(os.environ.get("DATA_DIR", "/app/data"))
+UPLOADS_DIR = DATA_DIR / "uploads"
+METADATA_DIR = DATA_DIR / "metadata"
+TOPICS_FILE = DATA_DIR / "topics.json"
+SETTINGS_FILE = DATA_DIR / "settings.json"
+
+DEFAULT_SYSTEM_PROMPT = """You are a document classification assistant. When given a document's text content and a list of existing topics, you must:
+1. Assign the document to one or more relevant topics from the list.
+2. If no existing topics fit well, suggest new topic names.
+Return ONLY valid JSON in this exact format, with no additional text or explanation:
+{"assigned_topics": ["topic1"], "new_topic_suggestions": ["new topic name"]}
+If the document fits no topics and you have no suggestions, return: {"assigned_topics": [], "new_topic_suggestions": []}"""
+
+DEFAULT_SETTINGS = {
+    "system_prompt": DEFAULT_SYSTEM_PROMPT,
+    "active_provider": "lmstudio",
+    "providers": {
+        "anthropic": {
+            "api_key": "",
+            "model": "claude-sonnet-4-6"
+        },
+        "openai": {
+            "api_key": "",
+            "model": "gpt-4o",
+            "base_url": None
+        },
+        "ollama": {
+            "base_url": "http://host.docker.internal:11434",
+            "model": "llama3.2"
+        },
+        "lmstudio": {
+            "base_url": "http://host.docker.internal:1234",
+            "model": "gemma-4-e4b-it"
+        }
+    }
+}
+
+
+def ensure_data_dirs():
+    UPLOADS_DIR.mkdir(parents=True, exist_ok=True)
+    METADATA_DIR.mkdir(parents=True, exist_ok=True)
+
+    if not TOPICS_FILE.exists():
+        TOPICS_FILE.write_text(json.dumps({"topics": []}, indent=2))
+
+    if not SETTINGS_FILE.exists():
+        SETTINGS_FILE.write_text(json.dumps(DEFAULT_SETTINGS, indent=2))