""" Shared utilities, database connections, and helper functions for user API routes. """ import datetime import os import uuid from functools import wraps from typing import Optional, Tuple from flask import current_app, jsonify, make_response, Response from werkzeug.utils import secure_filename from sqlalchemy import text as _sql_text from application.core.settings import settings from application.storage.db.base_repository import looks_like_uuid, row_to_dict from application.storage.db.repositories.users import UsersRepository from application.storage.db.session import db_readonly, db_session from application.storage.storage_creator import StorageCreator from application.vectorstore.vector_creator import VectorCreator storage = StorageCreator.get_storage() current_dir = os.path.dirname( os.path.dirname(os.path.dirname(os.path.abspath(__file__))) ) def generate_minute_range(start_date, end_date): """Generate a dictionary with minute-level time ranges.""" return { (start_date + datetime.timedelta(minutes=i)).strftime("%Y-%m-%d %H:%M:00"): 0 for i in range(int((end_date - start_date).total_seconds() // 60) + 1) } def generate_hourly_range(start_date, end_date): """Generate a dictionary with hourly time ranges.""" return { (start_date + datetime.timedelta(hours=i)).strftime("%Y-%m-%d %H:00"): 0 for i in range(int((end_date - start_date).total_seconds() // 3600) + 1) } def generate_date_range(start_date, end_date): """Generate a dictionary with daily date ranges.""" return { (start_date + datetime.timedelta(days=i)).strftime("%Y-%m-%d"): 0 for i in range((end_date - start_date).days + 1) } def ensure_user_doc(user_id): """ Ensure a Postgres ``users`` row exists for ``user_id``. Returns the row as a dict with the shape legacy callers expect — in particular ``user_id`` and ``agent_preferences`` (with ``pinned`` and ``shared_with_me`` list keys always present). Args: user_id: The user ID to ensure Returns: The user document as a dict. """ with db_session() as conn: user_doc = UsersRepository(conn).upsert(user_id) prefs = user_doc.get("agent_preferences") or {} if not isinstance(prefs, dict): prefs = {} prefs.setdefault("pinned", []) prefs.setdefault("shared_with_me", []) user_doc["agent_preferences"] = prefs return user_doc def resolve_tool_details(tool_ids): """ Resolve tool IDs to their display details. Accepts Postgres UUIDs, legacy Mongo ObjectId strings, or the synthetic ids of default chat tools / agent-selectable builtins (mixed lists are supported). Synthetic ids are resolved in memory; real ids are looked up via ``get_any``. Unknown ids are silently skipped. Args: tool_ids: List of tool IDs (UUIDs, legacy ObjectId strings, or synthetic default-tool / builtin ids). Returns: List of tool details with ``id``, ``name``, and ``display_name``. """ if not tool_ids: return [] from application.agents.default_tools import ( is_synthesized_tool_id, synthesize_tool_by_name, synthesized_tool_name_for_id, ) uuid_ids: list[str] = [] legacy_ids: list[str] = [] default_details: list[dict] = [] for tid in tool_ids: if not tid: continue tid_str = str(tid) if is_synthesized_tool_id(tid_str): synth = synthesize_tool_by_name(synthesized_tool_name_for_id(tid_str)) if synth is not None: default_details.append( { "id": tid_str, "name": synth.get("name", ""), "display_name": synth.get("display_name", ""), } ) continue if looks_like_uuid(tid_str): uuid_ids.append(tid_str) else: legacy_ids.append(tid_str) if not uuid_ids and not legacy_ids: return default_details rows: list[dict] = [] with db_readonly() as conn: if uuid_ids: result = conn.execute( _sql_text( "SELECT * FROM user_tools " "WHERE id = ANY(CAST(:ids AS uuid[]))" ), {"ids": uuid_ids}, ) rows.extend(row_to_dict(r) for r in result.fetchall()) if legacy_ids: result = conn.execute( _sql_text( "SELECT * FROM user_tools " "WHERE legacy_mongo_id = ANY(:ids)" ), {"ids": legacy_ids}, ) rows.extend(row_to_dict(r) for r in result.fetchall()) return default_details + [ { "id": str(tool.get("id") or tool.get("legacy_mongo_id") or ""), "name": tool.get("name", "") or "", "display_name": ( tool.get("custom_name") or tool.get("display_name") or tool.get("name", "") or "" ), } for tool in rows ] def get_vector_store(source_id): """ Get the Vector Store for a given source ID. Args: source_id (str): source id of the document Returns: Vector store instance """ store = VectorCreator.create_vectorstore( settings.VECTOR_STORE, source_id=source_id, embeddings_key=os.getenv("EMBEDDINGS_KEY"), ) return store def handle_image_upload( request, existing_url: str, user: str, storage, base_path: str = "attachments/" ) -> Tuple[str, Optional[Response]]: """ Handle image file upload from request. Args: request: Flask request object existing_url: Existing image URL (fallback) user: User ID storage: Storage instance base_path: Base path for upload Returns: Tuple of (image_url, error_response) """ image_url = existing_url if "image" in request.files: file = request.files["image"] if file.filename != "": filename = secure_filename(file.filename) upload_path = f"{settings.UPLOAD_FOLDER.rstrip('/')}/{user}/{base_path.rstrip('/')}/{uuid.uuid4()}_{filename}" try: storage.save_file(file, upload_path, storage_class="STANDARD") image_url = upload_path except Exception as e: current_app.logger.error(f"Error uploading image: {e}") return None, make_response( jsonify({"success": False, "message": "Image upload failed"}), 400, ) return image_url, None def require_agent(func): """ Decorator to require valid agent webhook token. Args: func: Function to decorate Returns: Wrapped function """ @wraps(func) def wrapper(*args, **kwargs): from application.storage.db.repositories.agents import AgentsRepository webhook_token = kwargs.get("webhook_token") if not webhook_token: return make_response( jsonify({"success": False, "message": "Webhook token missing"}), 400 ) with db_readonly() as conn: agent = AgentsRepository(conn).find_by_webhook_token(webhook_token) if not agent: current_app.logger.warning( f"Webhook attempt with invalid token: {webhook_token}" ) return make_response( jsonify({"success": False, "message": "Agent not found"}), 404 ) kwargs["agent"] = agent kwargs["agent_id_str"] = str(agent["id"]) return func(*args, **kwargs) return wrapper