Unknown user at 08:58, 13 September 2025

2025-09-13T08:58:05Z

Unknown user: Created page with "Siap! Berikut script Transition System Miner dengan PM4Py yang membaca file XES terlampir (`/mnt/data/BPIC_2012_A.xes`), menambang Transition System (TS), lalu..."

2025-09-13T00:03:31Z

Created page with "Siap! Berikut script **Transition System Miner** dengan **PM4Py** yang membaca **file XES terlampir** (`/mnt/data/BPIC_2012_A.xes`), menambang **Transition System (TS)**, lalu..."

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Siap! Berikut script **Transition System Miner** dengan **PM4Py** yang membaca **file XES terlampir** (`/mnt/data/BPIC_2012_A.xes`), menambang **Transition System (TS)**, lalu:

* Cetak ringkasan jumlah **state** dan **transition**
* Simpan **gambar TS** (`transition_system.png`)
* Ekspor daftar **state** (`ts_states.csv`) dan **transition** (`ts_transitions.csv`)

> **Install dulu (sekali saja):**
>
> ```bash
> pip install pm4py pandas graphviz
> # pastikan sistem punya Graphviz binary (dot). Linux (Debian/Ubuntu):
> # sudo apt-get install graphviz
> ```

---

### `transition_system_miner.py`

```python
#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import argparse
import sys
from pathlib import Path
import pandas as pd

from pm4py.objects.log.importer.xes import importer as xes_importer
from pm4py.algo.discovery.transition_system import algorithm as ts_discovery
from pm4py.visualization.transition_system import visualizer as ts_visualizer

def discover_transition_system(xes_path: Path, image_out: Path, states_out: Path, trans_out: Path):
# 1) Load event log
log = xes_importer.apply(str(xes_path))

# 2) Discover Transition System
# Parameter kunci (ubah jika perlu)
parameters = {
"case_glue": "case:concept:name",
"activity_key": "concept:name",
"timestamp_key": "time:timestamp",
}
ts = ts_discovery.apply(log, parameters=parameters)

# 3) Visualisasi & simpan ke file
gviz = ts_visualizer.apply(ts)
ts_visualizer.save(gviz, str(image_out))

# 4) Ekspor states & transitions ke CSV
# Struktur objek TS di PM4Py: ts.states (set of State), ts.transitions (set of Transition)
# State biasanya memiliki 'name' (id) dan 'label' (representasi state)
states_rows = []
for s in ts.states:
sid = getattr(s, "name", None)
slabel = getattr(s, "label", None)
# fallback agar tetap terisi
if sid is None:
sid = str(s)
if slabel is None:
slabel = str(s)
states_rows.append({"state_id": sid, "state_label": slabel})

trans_rows = []
for t in ts.transitions:
# transition memiliki source (from), target (to), label (activity/event class)
src = getattr(t, "from_state", getattr(t, "from", None))
dst = getattr(t, "to_state", getattr(t, "to", None))
lab = getattr(t, "label", None)

# Ambil id/label state sumber & tujuan
def state_id_label(state_obj):
if state_obj is None:
return None, None
sid = getattr(state_obj, "name", None) or str(state_obj)
slb = getattr(state_obj, "label", None) or str(state_obj)
return sid, slb

src_id, src_label = state_id_label(src)
dst_id, dst_label = state_id_label(dst)

trans_rows.append({
"source_id": src_id,
"source_label": src_label,
"target_id": dst_id,
"target_label": dst_label,
"transition_label": lab if lab is not None else ""
})

pd.DataFrame(states_rows).to_csv(states_out, index=False)
pd.DataFrame(trans_rows).to_csv(trans_out, index=False)

# 5) Ringkasan
print("=== Transition System Summary ===")
print(f"States : {len(states_rows)}")
print(f"Transitions: {len(trans_rows)}")
print(f"Gambar : {image_out}")
print(f"States CSV : {states_out}")
print(f"Trans CSV : {trans_out}")

def main():
ap = argparse.ArgumentParser(description="Transition System Miner using PM4Py (from XES)")
ap.add_argument("xes_path", type=str, help="Path ke file .xes")
ap.add_argument("--img", type=str, default="transition_system.png", help="Output image (PNG)")
ap.add_argument("--states_csv", type=str, default="ts_states.csv", help="Output CSV daftar state")
ap.add_argument("--trans_csv", type=str, default="ts_transitions.csv", help="Output CSV daftar transition")
args = ap.parse_args()

xes_path = Path(args.xes_path)
if not xes_path.exists():
print(f"[ERROR] File tidak ditemukan: {xes_path}", file=sys.stderr)
sys.exit(1)

discover_transition_system(
xes_path=xes_path,
image_out=Path(args.img),
states_out=Path(args.states_csv),
trans_out=Path(args.trans_csv),
)

if __name__ == "__main__":
main()
```

---

### Cara menjalankan (pakai file terlampir)

```bash
python transition_system_miner.py /mnt/data/BPIC_2012_A.xes \
--img ts_BPICA.png \
--states_csv ts_BPICA_states.csv \
--trans_csv ts_BPICA_transitions.csv
```

---

### Opsi & catatan

* **Kolom kunci** diset ke standar PM4Py:
`case:concept:name`, `concept:name`, `time:timestamp`.
Jika log Anda memakai nama kolom berbeda, ubah di `parameters`.
* **Graphviz** diperlukan agar file PNG bisa disimpan. Jika belum ada, install `graphviz` (OS) selain paket Python-nya.
* Untuk log besar, TS bisa sangat besar. Anda bisa mulai dari subset (filtering case/variant) sebelum menambang TS:

* Filter variant Top-K, atau
* Filter rentang tanggal tertentu.
* Jika ingin **lihat** langsung (open viewer), ganti `ts_visualizer.save(...)` menjadi `ts_visualizer.view(gviz)` (akan membuka jendela viewer apabila environment mendukung).

Mau saya tambahkan versi dengan **filter Top-K variants** atau **prefix-length limit** biar graf tidak terlalu padat?

PM: Transition System Miner - Revision history

Unknown user at 08:58, 13 September 2025

Unknown user: Created page with "Siap! Berikut script **Transition System Miner** dengan **PM4Py** yang membaca **file XES terlampir** (`/mnt/data/BPIC_2012_A.xes`), menambang **Transition System (TS)**, lalu..."

Unknown user: Created page with "Siap! Berikut script Transition System Miner dengan PM4Py yang membaca file XES terlampir (`/mnt/data/BPIC_2012_A.xes`), menambang Transition System (TS), lalu..."