Hugging Face's logo

Spaces:
danilonovais
/
n8n-dan
Sleeping

App Files
n8n-dan
File size: 3,498 Bytes 
e1debee
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
 
I need a DevOps/Infra repository with:

Tech Stack:
- Containerization: Docker & Docker Compose
- Orchestration: Hugging Face Spaces (Docker build)
- Database: Supabase (Postgres with SSL required)
- Integrations: GitHub, Google Cloud CLI, Vertex AI, LangChain, Community Nodes
- AI Features: Vector Store, AI Agents, AI Assistant, LangChain pipelines
- Automation: n8n (self-hosted Space), CI/CD with GitHub Actions

Core Features:
- Infrastructure as code for n8n running on Hugging Face Spaces
- Supabase Postgres as database backend (SSL enforced)
- Secure secrets injection (HF Space → environment variables)
- CI/CD pipeline that updates Space from GitHub repo
- Sync workflows via n8n API and export/backup into GitHub
- Integration with multiple GitHub repos as Knowledge Base:
  - https://github.com/danilonovaisv/CHATGPT-knowledge-base/tree/main/projects/n8n
  - https://github.com/danilonovaisv/CHATGPT-knowledge-base/tree/main/projects/videos-e-animacoes
  - https://github.com/danilonovaisv/CHATGPT-knowledge-base/tree/main/projects/midjorney-prompt
- Vector database integration to store knowledge embeddings for workflows
- Built-in nodes + community nodes for LangChain, Google APIs, Vertex AI

Start with the following repository structure:

/n8n-infra
  /docker
    Dockerfile (pin n8n version, ENV configs)
    docker-compose.yml (services: n8n, supabase connection, vector store)
  /config
    .env.example (template for secrets: DB_HOST, DB_USER, DB_PASS, ENCRYPTION_KEY, JWT_SECRET, WEBHOOK_URL, etc.)
    credentials/ (to store API keys and OAuth tokens)
  /workflows
    backup/ (exported workflows JSON)
  /knowledge
    n8n/ (mirror from projects/n8n)
    videos-e-animacoes/ (mirror from repo)
    midjourney-prompt/ (mirror from repo)
  /scripts
    backup.sh (pg_dump for Supabase, workflow export)
    restore.sh (restore db)
    sync-knowledge.sh (pull repos, upsert into DB/vector store)
  /github
    workflows/
      deploy-to-hf.yml (GitHub Action: build & push image to HF Space)
      backup-workflows.yml (GitHub Action: export workflows via API nightly)
      sync-knowledge.yml (GitHub Action: pull knowledge repos and update DB/vector store)
  README.md (instructions: how to deploy, secrets, CI/CD, rollback strategy)

Configuration & Integrations:
- Dockerfile pinned to a specific n8n version (no `latest`)
- Docker Compose with service for n8n + supabase connector + vector DB (like pgvector or chroma)
- GitHub Actions for CI/CD:
  - build image
  - push to Hugging Face Space
  - trigger rebuild
- Backup workflow:
  - pg_dump from Supabase
  - export workflows from n8n API
- Sync job:
  - clone repos from GitHub knowledge base
  - ingest JSON/MD into vector DB
- Integrate LangChain + AI Assistant via community nodes
- Configure built-in nodes for Google/Vertex AI
- Add CLI tools for Google Cloud

Please leave placeholders for variables/secrets in .env.example:
- N8N_ENCRYPTION_KEY=
- N8N_USER_MANAGEMENT_JWT_SECRET=
- DB_TYPE=postgresdb
- DB_POSTGRESDB_HOST=
- DB_POSTGRESDB_PORT=5432
- DB_POSTGRESDB_DATABASE=
- DB_POSTGRESDB_USER=
- DB_POSTGRESDB_PASSWORD=
- DB_POSTGRESDB_SSL=true
- WEBHOOK_URL=
- HF_TOKEN=
- GITHUB_TOKEN=
- GOOGLE_PROJECT_ID=
- GOOGLE_CREDENTIALS_PATH=

Document all steps in README with:
- How to deploy locally with Docker Compose
- How to deploy on Hugging Face Spaces
- How to configure Supabase
- How to run backups & restores
- How to integrate workflows with LangChain/Agents
- How to keep knowledge repos synced