9b106bf129
## Backend Changes:
- Enhanced PluginTemplate.save() to auto-parse template variables from plugin code
- Updated PluginInstallationSerializer to expose template metadata (description, category, version, author, logo, template_variables)
- Fixed template variable parser to handle nested {{ }} braces in default values
- Added brace-counting algorithm to properly extract variables with insertion codes
- Fixed explicit type parameter detection (textarea, text, email, etc.)
- Made scheduled_task optional on PluginInstallation model
- Added EventPlugin through model for event-plugin relationships
- Added Event.execute_plugins() method for plugin automation
## Frontend Changes:
- Created Tasks.tsx page for managing scheduled tasks
- Enhanced MyPlugins page with clickable plugin cards
- Added edit configuration modal with dynamic form generation
- Implemented escape sequence handling (convert \n, \', etc. for display)
- Added plugin logos to My Plugins page
- Updated type definitions for PluginInstallation interface
- Added insertion code documentation to Plugin Docs
## Plugin System:
- All platform plugins now have editable email templates with textarea support
- Template variables properly parsed with full default values
- Insertion codes ({{CUSTOMER_NAME}}, {{BUSINESS_NAME}}, etc.) documented
- Plugin logos displayed in marketplace and My Plugins
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
from google import genai
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from google.genai import types
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from PIL import Image
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from io import BytesIO
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import os
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# Initialize the Client
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client = genai.Client(api_key="AIzaSyB-nR0nkeftKrd42NrNIDcFCj3yFP8JLtw")
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# Define the prompt
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prompt = "A simple modern app icon with a blue background and white envelope symbol, square format, flat design"
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print(f"Generating image for: '{prompt}'...")
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# Call the API
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try:
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response = client.models.generate_images(
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model='gemini-2.5-flash-image',
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prompt=prompt,
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config=types.GenerateImagesConfig(
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number_of_images=1,
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aspect_ratio="1:1",
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safety_filter_level="BLOCK_LOW_AND_ABOVE",
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person_generation="ALLOW_ADULT"
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)
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)
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# Handle the response
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for i, generated_image in enumerate(response.generated_images):
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# Convert raw bytes to an image
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image = Image.open(BytesIO(generated_image.image.image_bytes))
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# Save to disk
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filename = f"test_generated_image_{i}.png"
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image.save(filename)
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print(f"Success! Saved {filename}")
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except Exception as e:
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print(f"Error occurred: {type(e).__name__}: {e}")
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import traceback
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traceback.print_exc()
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