4a192a8c97
Local and cloud-based workflows for extracting and updating text layers in PSD files via ExtendScript and Adobe PS API. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
159 lines
No EOL
5 KiB
Python
159 lines
No EOL
5 KiB
Python
#!/usr/bin/env python3
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"""
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Test Adobe Photoshop Text Editing API
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This script makes a direct request to the Adobe text editing API
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with various payload formats to analyze the responses and
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understand exactly what's required.
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"""
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import json
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import requests
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from adobe_token import AdobeTokenManager
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import config
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# Initialize token manager
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token_manager = AdobeTokenManager(config.ADOBE_CLIENT_ID, config.ADOBE_CLIENT_SECRET)
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def test_text_api():
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"""Test the Adobe Photoshop Text API with detailed analysis"""
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# Get a token
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try:
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access_token, _ = token_manager.get_token(config.DEFAULT_SCOPES)
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except Exception as e:
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print(f"Error getting token: {str(e)}")
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return
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# Endpoints to test
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endpoints = [
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"https://image.adobe.io/pie/psdService/text",
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]
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# Headers for API requests
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headers = {
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"x-api-key": config.ADOBE_CLIENT_ID,
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"Authorization": f"Bearer {access_token}",
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"Content-Type": "application/json"
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}
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# Test various payload formats
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payload_formats = [
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# Format 1 - Based on ALL error message feedback - FULLY CORRECTED
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{
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"inputs": [
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{
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"href": "/temp/test-document-id.psd",
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"storage": "adobe"
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}
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],
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"options": {
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"layers": [
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{
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"id": 1, # Must be integer
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"text": { # Must be object
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"content": "SPECIALLY DESIGNED FOREXTRA SENSITIVE SKIN"
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}
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}
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]
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},
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"outputs": [
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{
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"href": "/temp/output-test-document-id.psd",
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"storage": "adobe",
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"type": "image/vnd.adobe.photoshop"
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}
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]
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},
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# Format 2 - Using name instead of id
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{
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"inputs": [
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{
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"href": "/cloud-content/test-document-id.psd",
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"storage": "adobe"
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}
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],
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"options": {
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"layers": [
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{
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"name": "DESIGNED FOR SENSITIVE SKIN", # Using name
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"text": { # As object
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"content": "SPECIALLY DESIGNED FOREXTRA SENSITIVE SKIN"
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}
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}
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]
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},
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"outputs": [
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{
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"href": "/cloud-content/output-test-document-id.psd",
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"storage": "adobe",
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"type": "image/vnd.adobe.photoshop"
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}
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]
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},
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# Format 3 - Minimal format with just the requirements
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{
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"inputs": [
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{
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"href": "/temp/test-document-id.psd",
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"storage": "adobe"
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}
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],
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"options": {
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"layers": [
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{
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"id": 1,
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"text": {
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"content": "SPECIALLY DESIGNED FOREXTRA SENSITIVE SKIN"
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}
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}
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]
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},
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"outputs": [
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{
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"href": "/temp/output-test-document-id.psd",
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"storage": "adobe",
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"type": "image/vnd.adobe.photoshop"
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}
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]
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}
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]
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# Test each endpoint
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for endpoint in endpoints:
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print(f"\nTesting endpoint: {endpoint}")
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# First try a GET request to check access
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try:
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get_response = requests.get(endpoint, headers=headers, timeout=10)
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print(f"GET response: {get_response.status_code}")
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if get_response.text:
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print(f"Response content: {get_response.text[:500]}")
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except Exception as e:
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print(f"Error with GET request: {str(e)}")
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# Test each payload format
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for i, payload in enumerate(payload_formats):
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try:
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print(f"\nTesting Format {i+1}:")
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print(f"Payload: {json.dumps(payload, indent=2)}")
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response = requests.post(endpoint, headers=headers, json=payload, timeout=20)
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print(f"Response status: {response.status_code}")
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if response.text:
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try:
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# Try to parse as JSON
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resp_json = response.json()
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print(f"Response (JSON): {json.dumps(resp_json, indent=2)}")
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except:
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# Otherwise print as text
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print(f"Response: {response.text[:1000]}")
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except Exception as e:
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print(f"Error with Format {i+1}: {str(e)}")
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if __name__ == "__main__":
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test_text_api() |