n8n 설정 부분 수정

Last3Mon/65/n8n/compose.yml

@@ -1,35 +1,26 @@
-# n8n (LLM: OpenAI API, key from Last3Mon/.env via register-credentials.sh) + Ollama as the fallback.
-#   docker compose up -d        (run from this folder)
-#   n8n editor : http://localhost:5678
-#   Ollama API : http://localhost:11434  (n8n uses http://ollama:11434 inside the network)
+# Course stack for days 65-79: the official n8n one-line setup + Ollama (fallback LLM).
+#
+# 1) Install n8n once with the official script, into ~/day65-n8n (the folder name becomes the
+#    Docker project name, so the network stays day65-n8n_default for the day 67+ data APIs):
+#      cd ~ && curl -fsSL https://get.n8n.io | N8N_DIR=./day65-n8n sh -s -- --version 2.42.6
+# 2) From this folder, run everything together:
+#      docker compose up -d      (start / stop / ps / logs n8n / exec ollama ... as usual)
+#
+# This file includes ~/day65-n8n/compose.yml (n8n, task runners, sandbox, search) as written by the
+# script, and adds Ollama. n8n reaches Ollama at http://ollama:11434; WSL programs use localhost:11434.
 name: day65-n8n
 
-services:
-  n8n:
-    image: docker.n8n.io/n8nio/n8n:2.42.6
-    ports:
-      - "5678:5678"
-    environment:
-      - GENERIC_TIMEZONE=Asia/Seoul
-      - TZ=Asia/Seoul
-      - N8N_SECURE_COOKIE=false
-    volumes:
-      - n8n-data:/home/node/.n8n
-      - ./workflows:/home/node/workflows:ro
-    depends_on:
-      - ollama
-    restart: unless-stopped
+include:
+  - path: ${N8N_HOME:-../../../../day65-n8n}/compose.yml
 
+services:
   ollama:
     image: ollama/ollama:latest
     ports:
       - "11434:11434"
     volumes:
-      # Reuse the models downloaded on day 64 by setting OLLAMA_DATA in .env
-      # (default: a new Docker volume, then run: docker compose exec ollama ollama pull gemma3:4b)
       - ${OLLAMA_DATA:-ollama-data}:/root/.ollama
     restart: unless-stopped
 
 volumes:
-  n8n-data:
   ollama-data:

Last3Mon/65/n8n/register-credentials.sh

@@ -2,6 +2,7 @@
 # Register the course credentials in n8n from the .env file, so the API key is never typed into
 # a workflow or committed to git.
 #   cd Last3Mon/65/n8n && docker compose up -d && bash register-credentials.sh
+#   N8N_CONTAINER=<name> if your n8n container has another name (docker ps).
 #
 # Creates (or updates) two credentials with fixed ids that the course workflows already use:
 #   OpenAI (.env)  id openAiCourse0001  <- OPENAI_API_KEY (and OPENAI_BASE_URL if set)
@@ -39,7 +40,9 @@ fi
 credentials=$(printf '[{"id":"openAiCourse0001","name":"OpenAI (.env)","type":"openAiApi","data":{"apiKey":"%s","url":"%s"}},{"id":"ollamaLocal0001","name":"Ollama local","type":"ollamaApi","data":{"baseUrl":"http://ollama:11434"}}]' "$key" "$base_url")
 
 # The JSON goes through stdin into a temporary file inside the container, then is deleted.
-printf '%s' "$credentials" | docker compose exec -T n8n sh -c \
+container="${N8N_CONTAINER:-day65-n8n-n8n-1}"
+docker inspect "$container" >/dev/null 2>&1 || { echo "n8n container '$container' not found. Start n8n first: cd Last3Mon/65/n8n && docker compose up -d" >&2; exit 1; }
+printf '%s' "$credentials" | docker exec -i "$container" sh -c \
   'cat > /tmp/course-credentials.json && n8n import:credentials --input=/tmp/course-credentials.json; status=$?; rm -f /tmp/course-credentials.json; exit $status'
 
 echo "Registered 'OpenAI (.env)' and 'Ollama local' from $env_file"