Akses UI Web Dagu
- Buka browser dan kunjungi:
http://<SERVER_IP>:8080/login(HTTP) - Login menggunakan kredensial yang disimpan di:
/root/.dagu-credentials
Pelabuhan
- UI Web:
8080 - koordinator gRPC:
50055(intern)
Path Penting
Konfigurasi Sistem:
/usr/local/bin/dagu # Binary
/etc/dagu/ # Env directory
/etc/systemd/system/dagu.service # Systemd service
Mode Layanan (Tingkat Sistem):
/var/lib/dagu/
├── dags/ # Workflows
├── logs/ # Execution logs
├── data/ # History
├── suspend/ # Pause flags
└── base.yaml # Shared config
Mode CLI (Tingkat pengguna):
~/.config/dagu/
├── dags/ # Workflows
├── config.yaml # Configuration
└── base.yaml # Shared config
~/.local/share/dagu/
├── logs/ # Execution logs
├── data/ # History
└── suspend/ # Pause flags
Manajemen Layanan
# Check service status
systemctl status dagu
# Start the service
systemctl start dagu
# Stop the service
systemctl stop dagu
# Restart the service
systemctl restart dagu
Penggunaan CLI Dasar
# Show help / available commands
dagu --help
# Show installed version
dagu version
# Install Dagu skills (auto-detect supported tools)
dagu ai install
# Install non-interactively (auto-confirm all prompts)
dagu ai install --yes
# Install to a specific skills directory
dagu ai install --skills-dir ~/.agents/skills
# Start a DAG workflow from a file or named workflow
dagu start my-workflow.yaml
# Pass parameters to a DAG (after --)
dagu start my-workflow.yaml -- param1=value1 param2=value2
# Execute a command directly as a DAG step
dagu exec -- python script.py
# Example with arguments
dagu exec -- python script.py --input data.csv
Buat Alur Kerja Pertama Anda (Mode CLI)
Buat direktori DAG:
mkdir -p ~/.config/dagu/dags
Buat file bernama hello.yaml (/root/.config/dagu/dags/hello.yaml):
steps:
- name: hello
command: echo "Hello from Dagu"
Jalankan alur kerja:
dagu start hello
Buat Alur Kerja Pertama Anda (Mode Web)
Buat file alur kerja:
vim /var/lib/dagu/dags/hello.yaml
Tambahkan konten berikut:
steps:
- name: hello
command: echo "Hello from Dagu"
Alur kerja akan otomatis terdeteksi oleh layanan yang sedang berjalan.
Anda dapat memicunya dari UI web.