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How to set up and manipulate Penpot design tool state via HTTP APIs for CUA-Gym UI design tasks. For setup-gen and reward-gen agents.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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How to set up and manipulate Penpot design tool state via HTTP APIs for CUA-Gym UI design tasks. For setup-gen and reward-gen agents.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | penpot |
| description | How to set up and manipulate Penpot design tool state via HTTP APIs for CUA-Gym UI design tasks. For setup-gen and reward-gen agents. |
| user-invocable | false |
This skill teaches setup-gen and reward-gen how to create, manipulate, and verify Penpot project state for UI design tasks. Like Overleaf, Penpot tasks involve HTTP state management through a shared Penpot instance — there are no local design files on the VM.
requests, json, uuid, re, zipfile, iohttps://cua-gym-figma.xlang.aiRegister temp user → Login (session cookie) → Create project
↓ ↓ ↓
No email verif API returns JSON Import template (.penpot ZIP)
↓ ↓
setup-gen configures CUA agent operates in browser
↓ ↓
reward-gen reads get-file / get-page
shape tree ↓
↓ Score 0.0–1.0
delete-profile (cleanup)
Key difference from mock_websites: Penpot uses per-session user accounts (not session IDs). Each training episode gets its own user for isolation. The user is created at setup and deleted after reward verification.
Key difference from Overleaf: No CSRF tokens needed. No admin account required — users self-register. API uses JSON RPC, not REST. Must set Accept: application/json header or responses return Transit+JSON (Clojure serialization).
All Penpot API calls use session-cookie authentication. The base endpoint is /api/rpc/command/<method>.
import requests
PENPOT_URL = 'https://cua-gym-figma.xlang.ai'
session = requests.Session()
session.headers.update({
'Content-Type': 'application/json',
'Accept': 'application/json', # CRITICAL: without this, responses are Transit+JSON
})
def rpc(session, method, payload=None):
"""Call Penpot RPC API."""
resp = session.post(
f'{PENPOT_URL}/api/rpc/command/{method}',
json=payload or {},
)
return resp
Registration is a two-step process: prepare → confirm.
def register_user(session, email, password, fullname):
"""Register a new user. Returns profile dict."""
# Step 1: Prepare
resp = rpc(session, 'prepare-register-profile', {
'email': email,
'password': password,
'fullname': fullname,
})
resp.raise_for_status()
token = resp.json()['token']
# Step 2: Complete
resp = rpc(session, 'register-profile', {'token': token})
resp.raise_for_status()
return resp.json() # {'id': '...', 'email': '...', 'fullname': '...'}
def login(session, email, password):
"""Login and establish session cookie. Returns profile with team/project IDs."""
resp = rpc(session, 'login-with-password', {
'email': email,
'password': password,
})
resp.raise_for_status()
return resp.json()
# Returns: {
# 'id': '...',
# 'defaultTeamId': '...',
# 'defaultProjectId': '...',
# 'email': '...',
# ...
# }
def delete_profile(session):
"""Delete the logged-in user and ALL their data."""
resp = rpc(session, 'delete-profile', {})
# Returns 204 No Content on success
return resp.status_code in (200, 204)
Each training episode creates and destroys an isolated user.
import uuid
def create_session_credentials():
"""Generate unique session email and password."""
sid = uuid.uuid4().hex[:12]
email = f'session-{sid}@cua-gym.local'
password = f'cua-{uuid.uuid4().hex[:16]}'
return email, password, sid
def provision_session(penpot_url):
"""Full flow: register → login → return session with team info."""
email, password, sid = create_session_credentials()
session = requests.Session()
session.headers.update({
'Content-Type': 'application/json',
'Accept': 'application/json',
})
register_user(session, email, password, 'CUA Agent')
profile = login(session, email, password)
return session, {
'email': email,
'password': password,
'session_id': sid,
'team_id': profile['defaultTeamId'],
'default_project_id': profile['defaultProjectId'],
}
def create_project(session, team_id, name):
"""Create a project. Returns project dict with 'id'."""
resp = rpc(session, 'create-project', {
'teamId': team_id,
'name': name,
})
resp.raise_for_status()
return resp.json()
def create_file(session, project_id, name):
"""Create an empty design file. Returns file dict with 'id'.
New files have 1 page with 1 root frame."""
resp = rpc(session, 'create-file', {
'projectId': project_id,
'name': name,
})
resp.raise_for_status()
return resp.json()
CRITICAL: The import-binfile endpoint expects ZIP format (starts with PK header). Files exported from Penpot's web UI in newer versions may use a v2 binary format (header 010b1a86) which is NOT compatible with this API. Always use templates that were exported via the API's export-binfile method.
def import_template(session, project_id, name, zip_bytes):
"""Import a .penpot ZIP file into a project.
Returns SSE stream with progress events.
"""
from io import BytesIO
# MUST remove Content-Type for multipart
saved_ct = session.headers.pop('Content-Type', None)
resp = session.post(
f'{PENPOT_URL}/api/rpc/command/import-binfile',
data={
'name': name,
'project-id': project_id, # NOTE: kebab-case for multipart
},
files={
'file': ('template.penpot', BytesIO(zip_bytes), 'application/octet-stream'),
},
headers={'Accept': 'application/json'},
timeout=180,
)
if saved_ct:
session.headers['Content-Type'] = saved_ct
return resp
def import_template_from_path(session, project_id, name, filepath):
"""Import from a local file path."""
with open(filepath, 'rb') as f:
zip_bytes = f.read()
return import_template(session, project_id, name, zip_bytes)
Export is an SSE (Server-Sent Events) stream that returns a download URL.
import re
def export_file(session, file_id):
"""Export a file as ZIP. Returns ZIP bytes."""
resp = rpc(session, 'export-binfile', {
'fileId': file_id,
'includeLibraries': False,
'embedAssets': True,
})
# Parse SSE to find download URL
download_url = None
for line in resp.text.strip().split('\n'):
if line.startswith('data: ') and '~#uri' in line:
match = re.search(r'"(https?://[^"]+)"', line)
if match:
download_url = match.group(1)
if not download_url:
raise RuntimeError('No download URL in export response')
dl_resp = session.get(download_url, timeout=60)
dl_resp.raise_for_status()
return dl_resp.content # ZIP bytes
def get_project_files(session, project_id):
"""List all files in a project."""
resp = rpc(session, 'get-project-files', {'projectId': project_id})
resp.raise_for_status()
return resp.json() # [{'id': '...', 'name': '...', ...}, ...]
def delete_file(session, file_id):
rpc(session, 'delete-file', {'id': file_id}) # 204
def delete_project(session, project_id):
rpc(session, 'delete-project', {'id': project_id}) # 204
def get_file(session, file_id):
"""Get full file data including pages index, components, colors, typographies."""
resp = rpc(session, 'get-file', {'id': file_id})
resp.raise_for_status()
return resp.json()
# Returns: {
# 'id': '...',
# 'name': '...',
# 'data': {
# 'pagesIndex': {'<page-id>': {'name': '...', ...}, ...},
# 'components': {'<comp-id>': {...}, ...},
# 'colors': {'<color-id>': {'name': '...', 'color': '#hex', ...}, ...},
# 'typographies': {'<typo-id>': {'name': '...', 'fontFamily': '...', ...}, ...},
# }
# }
def get_page(session, file_id, page_id):
"""Get all shapes on a page. Returns objects dict keyed by shape ID."""
resp = rpc(session, 'get-page', {
'fileId': file_id,
'pageId': page_id,
})
resp.raise_for_status()
return resp.json()
# Returns: {
# 'objects': {
# '<shape-id>': {
# 'type': 'frame' | 'rect' | 'circle' | 'text' | 'path' | 'image' | 'group',
# 'name': 'Button',
# 'x': 100, 'y': 200,
# 'width': 300, 'height': 50,
# 'fills': [{'fillColor': '#3498db', 'fillOpacity': 1}],
# 'strokes': [...],
# 'children': ['child-id-1', 'child-id-2'],
# 'parentId': 'parent-id',
# ...
# },
# ...
# }
# }
Each shape object may contain:
| Property | Type | Description |
|---|---|---|
type | string | frame, rect, circle, text, path, image, group, bool, svg-raw |
name | string | User-visible layer name |
x, y | number | Position |
width, height | number | Dimensions |
rotation | number | Rotation in degrees |
fills | array | [{fillColor: '#hex', fillOpacity: N}, ...] |
strokes | array | `[{strokeColor: '#hex', strokeWidth: N, strokeAlignment: 'center' |
shadow | array | Shadow effects |
blur | object | Blur effect |
opacity | number | 0.0 – 1.0 |
hidden | boolean | Visibility |
blocked | boolean | Locked state |
children | array | Child shape IDs (for frames/groups) |
parentId | string | Parent shape ID |
content | object | Text content (for type: text) |
selrect | object | Selection rectangle |
constraints | object | Responsive constraints |
interactions | array | Prototype interactions |
componentId | string | Link to component (if instance) |
componentFile | string | Source file for component |
def inspect_file_shapes(session, file_id):
"""Get complete shape tree for all pages. Returns structured summary."""
file_data = get_file(session, file_id)
data = file_data.get('data', {})
pages_index = data.get('pagesIndex', {})
result = {
'components': len(data.get('components', {})),
'colors': len(data.get('colors', {})),
'typographies': len(data.get('typographies', {})),
'pages': [],
}
for pid in pages_index:
pname = pages_index[pid]
if isinstance(pname, dict):
pname = pname.get('name', pid)
page = get_page(session, file_id, pid)
objects = page.get('objects', {})
type_counts = {}
for obj in objects.values():
if isinstance(obj, dict):
t = obj.get('type', 'unknown')
type_counts[t] = type_counts.get(t, 0) + 1
result['pages'].append({
'id': pid,
'name': pname,
'objectCount': len(objects),
'typeCounts': type_counts,
})
return result
The state file /tmp/task_penpot_state links initial_setup.py, golden_patch.py, and reward.py.
{
"penpot_url": "https://cua-gym-figma.xlang.ai",
"session_email": "session-a1b2c3d4e5f6@cua-gym.local",
"session_password": "cua-7f8e9d0c1b2a3456",
"team_id": "...",
"project_id": "...",
"file_id": "...",
"file_url": "https://cua-gym-figma.xlang.ai/view/..."
}
import json
STATE_FILE = '/tmp/task_penpot_state'
def save_state(state):
with open(STATE_FILE, 'w') as f:
json.dump(state, f)
def load_state():
with open(STATE_FILE) as f:
return json.load(f)
"""
Initial Setup: <task_description>
Task ID: <task_id>
Domain: penpot
"""
import json
import os
import shlex
import subprocess
import time
import uuid
import requests
# --- Config ---
PENPOT_URL = 'https://cua-gym-figma.xlang.ai'
# --- Helper functions ---
def rpc(session, method, payload=None):
resp = session.post(f'{PENPOT_URL}/api/rpc/command/{method}', json=payload or {})
return resp
# --- Step 1: Create session user ---
session_id = uuid.uuid4().hex[:12]
session_email = f'session-{session_id}@cua-gym.local'
session_password = f'cua-{uuid.uuid4().hex[:16]}'
session = requests.Session()
session.headers.update({
'Content-Type': 'application/json',
'Accept': 'application/json',
})
# Register
resp = rpc(session, 'prepare-register-profile', {
'email': session_email,
'password': session_password,
'fullname': 'CUA Agent',
})
token = resp.json()['token']
rpc(session, 'register-profile', {'token': token})
# Login
profile = rpc(session, 'login-with-password', {
'email': session_email,
'password': session_password,
}).json()
team_id = profile['defaultTeamId']
# --- Step 2: Create project ---
project = rpc(session, 'create-project', {
'teamId': team_id,
'name': 'Design Task',
}).json()
project_id = project['id']
# --- Step 3: Create or import initial design ---
# OPTION A: Import a pre-made template
# Template must be in ZIP format (exported via API, NOT from Penpot web UI)
# template_path = '/path/to/template.penpot'
# saved_ct = session.headers.pop('Content-Type', None)
# with open(template_path, 'rb') as f:
# resp = session.post(
# f'{PENPOT_URL}/api/rpc/command/import-binfile',
# data={'name': 'Task Design', 'project-id': project_id},
# files={'file': ('template.penpot', f, 'application/octet-stream')},
# headers={'Accept': 'application/json'},
# timeout=180,
# )
# if saved_ct:
# session.headers['Content-Type'] = saved_ct
# # Get imported file ID
# files = rpc(session, 'get-project-files', {'projectId': project_id}).json()
# file_id = files[0]['id']
# OPTION B: Create empty file (for "create from scratch" tasks)
file_data = rpc(session, 'create-file', {
'projectId': project_id,
'name': 'Task Design',
}).json()
file_id = file_data['id']
# --- Step 4: Save state ---
state = {
'penpot_url': PENPOT_URL,
'session_email': session_email,
'session_password': session_password,
'team_id': team_id,
'project_id': project_id,
'file_id': file_id,
}
with open('/tmp/task_penpot_state', 'w') as f:
json.dump(state, f)
print(f'Project created: {project_id}')
print(f'File created: {file_id}')
file_url = f'{PENPOT_URL}/view/{file_id}'
# --- Step 5: Launch browser ---
def launch_gui(command, delay_sec=1.0):
env = os.environ.copy()
env['DISPLAY'] = ':0'
subprocess.Popen(
shlex.split(command),
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
env=env,
)
time.sleep(delay_sec)
# Open workspace editor (not viewer)
workspace_url = f'{PENPOT_URL}/#/workspace/{project_id}/{file_id}'
launch_gui(f'google-chrome "{workspace_url}"', delay_sec=3.0)
print(f'GUI_READY: launched browser at {workspace_url}')
Strategy: Export the initial file as a template, then create a new file with the expected final state, replacing the initial file in the state.
For Penpot tasks, the golden patch creates the expected completed design either by:
"""
Golden Patch: <task_description>
Task ID: <task_id>
Domain: penpot
Changes: <brief list of what this patch does>
"""
import json
import re
import requests
# --- Config ---
PENPOT_URL = 'https://cua-gym-figma.xlang.ai'
# --- Load state ---
with open('/tmp/task_penpot_state') as f:
state = json.load(f)
def rpc(session, method, payload=None):
resp = session.post(f'{PENPOT_URL}/api/rpc/command/{method}', json=payload or {})
return resp
# --- Login ---
session = requests.Session()
session.headers.update({
'Content-Type': 'application/json',
'Accept': 'application/json',
})
rpc(session, 'login-with-password', {
'email': state['session_email'],
'password': state['session_password'],
})
# --- Delete initial file ---
rpc(session, 'delete-file', {'id': state['file_id']})
# --- Create golden file ---
# OPTION A: Import golden template
# golden_template = '/path/to/golden_template.penpot'
# saved_ct = session.headers.pop('Content-Type', None)
# with open(golden_template, 'rb') as f:
# resp = session.post(
# f'{PENPOT_URL}/api/rpc/command/import-binfile',
# data={'name': 'Task Design', 'project-id': state['project_id']},
# files={'file': ('golden.penpot', f, 'application/octet-stream')},
# headers={'Accept': 'application/json'},
# timeout=180,
# )
# if saved_ct:
# session.headers['Content-Type'] = saved_ct
# OPTION B: Create file with expected content
file_data = rpc(session, 'create-file', {
'projectId': state['project_id'],
'name': 'Task Design',
}).json()
new_file_id = file_data['id']
# TODO: Use update-file to add expected shapes/components
# This is the most complex part — see Section 9 for shape manipulation
# --- Update state ---
state['file_id'] = new_file_id
with open('/tmp/task_penpot_state', 'w') as f:
json.dump(state, f)
print(f'Golden file created: {new_file_id}')
"""
Reward Script: <task_description>
Task ID: <task_id>
Domain: penpot
Scoring: <brief rubric>
"""
import json
import sys
import requests
# --- Load state ---
try:
with open('/tmp/task_penpot_state') as f:
state = json.load(f)
except Exception as e:
print(f'CRITICAL: Cannot read state: {e}')
print('REWARD: 0.0')
sys.exit(0)
PENPOT_URL = state['penpot_url']
FILE_ID = state['file_id']
def rpc(session, method, payload=None):
resp = session.post(f'{PENPOT_URL}/api/rpc/command/{method}', json=payload or {})
return resp
# --- Login ---
try:
session = requests.Session()
session.headers.update({
'Content-Type': 'application/json',
'Accept': 'application/json',
})
resp = rpc(session, 'login-with-password', {
'email': state['session_email'],
'password': state['session_password'],
})
assert resp.status_code == 200, f'Login failed: {resp.status_code}'
except Exception as e:
print(f'CRITICAL: Login failed: {e}')
print('REWARD: 0.0')
sys.exit(0)
# --- Fetch design state ---
try:
file_data = rpc(session, 'get-file', {'id': FILE_ID}).json()
data = file_data.get('data', {})
pages_index = data.get('pagesIndex', {})
components = data.get('components', {})
colors = data.get('colors', {})
typographies = data.get('typographies', {})
# Get first page shapes
page_ids = list(pages_index.keys())
all_shapes = {}
for pid in page_ids:
page = rpc(session, 'get-page', {'fileId': FILE_ID, 'pageId': pid}).json()
all_shapes[pid] = page.get('objects', {})
except Exception as e:
print(f'CRITICAL: Cannot read file: {e}')
print('REWARD: 0.0')
sys.exit(0)
# --- Verification ---
def verify_task():
total_score = 0.0
# Component 1: <description> (X.X points)
try:
# Example: check that a rectangle shape exists
first_page_shapes = all_shapes[page_ids[0]]
rect_shapes = [
s for s in first_page_shapes.values()
if isinstance(s, dict) and s.get('type') == 'rect'
]
if len(rect_shapes) >= 1:
print(f'PASS: Rectangle shape exists ({len(rect_shapes)} found) (0.3 pts)')
total_score += 0.3
else:
print('FAIL: No rectangle shapes found')
except Exception as e:
print(f'ERROR: Component 1 — {e}')
# Component 2: <description> (X.X points)
try:
# Example: check fill color
for s in rect_shapes:
fills = s.get('fills', [])
if fills and fills[0].get('fillColor', '').lower() == '#3498db':
print(f'PASS: Correct fill color #3498db (0.3 pts)')
total_score += 0.3
break
else:
print('FAIL: No shape with expected fill color #3498db')
except Exception as e:
print(f'ERROR: Component 2 — {e}')
# Component 3: <description> (X.X points)
try:
# Example: check shape dimensions
for s in rect_shapes:
w = s.get('width', 0)
h = s.get('height', 0)
if abs(w - 200) < 5 and abs(h - 100) < 5:
print(f'PASS: Shape dimensions ~200x100 (0.2 pts)')
total_score += 0.2
break
else:
print('FAIL: No shape with expected dimensions')
except Exception as e:
print(f'ERROR: Component 3 — {e}')
# Component 4: <description> (X.X points)
try:
# Example: check text content
text_shapes = [
s for s in first_page_shapes.values()
if isinstance(s, dict) and s.get('type') == 'text'
]
if text_shapes:
print(f'PASS: Text element exists ({len(text_shapes)} found) (0.2 pts)')
total_score += 0.2
else:
print('FAIL: No text elements found')
except Exception as e:
print(f'ERROR: Component 4 — {e}')
final_score = min(total_score, 1.0)
print(f'\nScore: {total_score}/1.0')
print(f'REWARD: {final_score}')
return final_score
verify_task()
# Count shapes by type on a page
type_counts = {}
for obj in page_shapes.values():
if isinstance(obj, dict):
t = obj.get('type', 'unknown')
type_counts[t] = type_counts.get(t, 0) + 1
# Verify minimum counts
assert type_counts.get('rect', 0) >= 3, 'Need at least 3 rectangles'
assert type_counts.get('text', 0) >= 2, 'Need at least 2 text elements'
# Find shape by name
def find_shape_by_name(shapes, name):
for sid, s in shapes.items():
if isinstance(s, dict) and s.get('name') == name:
return s
return None
button = find_shape_by_name(page_shapes, 'Submit Button')
if button:
# Check position
assert abs(button['x'] - 100) < 10
assert abs(button['y'] - 200) < 10
# Check size
assert abs(button['width'] - 150) < 5
assert abs(button['height'] - 40) < 5
# Check fill
fills = button.get('fills', [])
assert len(fills) > 0
assert fills[0].get('fillColor', '').lower() == '#2ecc71'
# Check stroke
strokes = button.get('strokes', [])
if strokes:
assert strokes[0].get('strokeWidth', 0) == 2
# Check parent-child relationships
def get_children(shapes, parent_id):
parent = shapes.get(parent_id)
if not parent or not isinstance(parent, dict):
return []
child_ids = parent.get('children', [])
return [shapes[cid] for cid in child_ids if cid in shapes]
# Verify a frame contains expected children
frame = find_shape_by_name(page_shapes, 'Card Component')
children = get_children(page_shapes, frame_id)
child_types = [c.get('type') for c in children]
assert 'text' in child_types, 'Card must contain text'
assert 'rect' in child_types, 'Card must contain rectangle background'
# Check components defined in file
file_data = get_file(session, file_id)
components = file_data['data'].get('components', {})
# Verify component exists
comp_names = [c.get('name', '') for c in components.values() if isinstance(c, dict)]
assert 'Button' in comp_names, 'Button component must exist'
assert 'Card' in comp_names, 'Card component must exist'
# Check colors in design system
colors = file_data['data'].get('colors', {})
color_values = [c.get('color', '') for c in colors.values() if isinstance(c, dict)]
assert '#3498db' in [c.lower() for c in color_values], 'Primary blue must be defined'
# Check typographies
typographies = file_data['data'].get('typographies', {})
font_families = [t.get('fontFamily', '') for t in typographies.values() if isinstance(t, dict)]
assert 'Inter' in font_families or 'Roboto' in font_families
# Verify page count and names
pages_index = file_data['data'].get('pagesIndex', {})
page_names = []
for pinfo in pages_index.values():
if isinstance(pinfo, dict):
page_names.append(pinfo.get('name', ''))
else:
page_names.append(str(pinfo))
assert len(page_names) >= 3, 'Need at least 3 pages'
assert 'Home' in page_names, 'Must have Home page'
assert 'About' in page_names, 'Must have About page'
For tasks where exact property matching is insufficient, compare shape counts and approximate positions.
def shapes_similar(expected_shapes, actual_shapes, tolerance=20):
"""Check if actual design roughly matches expected layout."""
score = 0.0
total = len(expected_shapes)
for exp in expected_shapes:
best_match = None
best_dist = float('inf')
for act in actual_shapes.values():
if not isinstance(act, dict):
continue
if act.get('type') != exp['type']:
continue
dx = abs(act.get('x', 0) - exp['x'])
dy = abs(act.get('y', 0) - exp['y'])
dist = (dx**2 + dy**2) ** 0.5
if dist < best_dist:
best_dist = dist
best_match = act
if best_match and best_dist < tolerance:
score += 1.0
return score / total if total > 0 else 0.0
"""Cleanup: delete project and session user."""
import json
import requests
with open('/tmp/task_penpot_state') as f:
state = json.load(f)
PENPOT_URL = state['penpot_url']
session = requests.Session()
session.headers.update({
'Content-Type': 'application/json',
'Accept': 'application/json',
})
# Login
session.post(f'{PENPOT_URL}/api/rpc/command/login-with-password', json={
'email': state['session_email'],
'password': state['session_password'],
})
# Delete profile (cascades to all projects and files)
session.post(f'{PENPOT_URL}/api/rpc/command/delete-profile', json={})
print(f'Cleaned up: user={state["session_email"]}')
Since the import-binfile API requires ZIP format, templates must be prepared via the API export flow:
export-binfile → download ZIP from URL.penpot in templates/ directory# Script to export a template from an existing Penpot file
import re, requests
PENPOT_URL = 'https://cua-gym-figma.xlang.ai'
session = requests.Session()
session.headers.update({'Content-Type': 'application/json', 'Accept': 'application/json'})
# Login with the account that owns the template
session.post(f'{PENPOT_URL}/api/rpc/command/login-with-password',
json={'email': 'your@email.com', 'password': 'your-pass'})
# Export
resp = session.post(f'{PENPOT_URL}/api/rpc/command/export-binfile',
json={'fileId': 'TARGET_FILE_ID', 'includeLibraries': True, 'embedAssets': True})
for line in resp.text.strip().split('\n'):
if 'uri' in line:
url = re.search(r'"(https?://[^"]+)"', line).group(1)
data = session.get(url).content
with open('templates/my_template.penpot', 'wb') as f:
f.write(data)
print(f'Saved {len(data)} bytes')
Accept: application/json is mandatory. Without it, Penpot returns Transit+JSON (Clojure's serialization format: ["^ ", "~:key", "value"]), which standard JSON parsers cannot handle. ALWAYS set this header on every session.
Import expects ZIP format, not v2 binary. Files exported from Penpot's web UI (newer versions) use a proprietary binary format (header 010b1a86 with zstd compression). The import-binfile API only accepts ZIP format. Always prepare templates via the API's export-binfile method.
Multipart params use kebab-case. For import-binfile, use project-id (NOT projectId) in multipart form data. JSON RPC calls use camelCase.
Export is SSE, not direct download. export-binfile returns a text/event-stream with progress events. The actual file URL is in the end event's ~#uri field. You must parse the stream and make a second GET request.
Delete returns 204, not 200. delete-file, delete-project, delete-profile all return 204 No Content. Don't treat this as an error.
New files have 1 page with 1 root frame. The root frame (type: frame, name: Root Frame) is always present. It's the container for all other shapes on the page. Don't count it as a user-created shape.
delete-profile cascades to everything. Deleting the user removes all their teams, projects, files, and data. This is the cleanest cleanup — no need to delete individual files or projects first.
Registration is two-step. prepare-register-profile returns a token, then register-profile completes it. Both must succeed. The token is a JWT valid for a limited time.
Login returns essential IDs. The defaultTeamId and defaultProjectId from login are needed for creating projects. Don't skip the login step even if you just registered (registration doesn't return these).
Shape IDs are UUIDs. All shapes, pages, files, projects use UUID format (xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx). When verifying shapes, always match by name or type rather than ID (IDs change on each import).
Concurrent episodes need separate users. Each CUA training episode must have its own registered user. Never share users between episodes — shapes would collide and verification would be unreliable.
No CSRF tokens needed. Unlike Overleaf, Penpot uses session cookies only. No need to extract CSRF from HTML pages. This simplifies the API client significantly.
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