Update app.py
Browse files
app.py
CHANGED
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@@ -5,6 +5,7 @@ import requests
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import json
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import plotly.express as px
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import pandas as pd
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# Model options for dropdown with both Together AI and Anthropic models
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together_models = [
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@@ -133,9 +134,59 @@ def call_llm(model, prompt, temperature=0.7, max_tokens=1500):
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else:
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return f"Error: Unknown provider for model {model}"
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def correct_apex_trigger(model, trigger_code):
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if not trigger_code.strip():
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return "Please provide Apex Trigger code to correct."
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prompt = f"""
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Please analyze and correct the following Apex Trigger code for migration from CloudCraze to B2B Lightning Experience.
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Identify any issues, optimize it according to best practices, and provide the corrected code.
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@@ -144,13 +195,19 @@ Identify any issues, optimize it according to best practices, and provide the co
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{trigger_code}
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```
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Please return the corrected code with explanations of changes.
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"""
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def convert_cc_object(model, cc_object_code):
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if not cc_object_code.strip():
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return "Please provide CloudCraze Object code to convert."
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prompt = f"""
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Please convert the following CloudCraze Object code to B2B Lightning Experience format.
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Identify the corresponding B2B LEx system object, map fields, and provide the full definition.
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@@ -162,10 +219,16 @@ Identify the corresponding B2B LEx system object, map fields, and provide the fu
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Return:
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1. Equivalent B2B LEx object name
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2. Field mappings
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3. Full implementation code
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4. Additional steps if needed
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"""
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def validate_apex_trigger(validation_model, original_code, corrected_code):
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if not validation_model or not original_code.strip() or not corrected_code.strip():
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@@ -292,8 +355,22 @@ def create_radar_chart(metrics):
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return fig
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def main():
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with gr.Blocks(title="Salesforce B2B Commerce Migration Assistant") as app:
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gr.Markdown("# Salesforce B2B Commerce Migration Assistant")
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gr.Markdown("This tool helps migrate CloudCraze code to B2B Lightning Experience.")
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@@ -325,18 +402,35 @@ def main():
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placeholder="Paste Apex Trigger code here...",
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label="Apex Trigger Code"
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)
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gr.Markdown("### Validation Results")
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with gr.Row():
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@@ -358,22 +452,48 @@ def main():
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chart = create_radar_chart(metrics) if metrics else None
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return validation_text, chart
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validate_trigger_button.click(
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fn=validate_and_chart_trigger,
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inputs=[validation_model_dropdown, trigger_input,
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outputs=[trigger_validation_output, trigger_chart],
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show_progress=True
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)
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with gr.Row():
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trigger_clear = gr.Button("Clear Input")
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trigger_clear.click(lambda: "", [], trigger_input)
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results_clear = gr.Button("Clear Results")
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results_clear.click(
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lambda: ["", "", None],
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[],
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[
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)
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with gr.Tab("CloudCraze Object Conversion"):
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@@ -385,18 +505,35 @@ def main():
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placeholder="Paste CC object code here...",
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label="CloudCraze Object Code"
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)
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gr.Markdown("### Validation Results")
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with gr.Row():
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chart = create_radar_chart(metrics) if metrics else None
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return validation_text, chart
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validate_object_button.click(
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fn=validate_and_chart_object,
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inputs=[validation_model_dropdown, object_input,
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outputs=[object_validation_output, object_chart],
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show_progress=True
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)
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with gr.Row():
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object_clear = gr.Button("Clear Input")
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object_clear.click(lambda: "", [], object_input)
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object_results_clear = gr.Button("Clear Results")
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object_results_clear.click(
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lambda: ["", "", None],
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[],
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[
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)
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gr.Markdown("### About This Tool")
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gr.Markdown(
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"""
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**Object Conversion**: Maps and converts CloudCraze object definitions to B2B LEx.
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**Model Selection**: Choose from Together AI models or Anthropic's Claude models.
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**
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Always review AI-generated code before production use.
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"""
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)
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import json
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import plotly.express as px
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import pandas as pd
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import re
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# Model options for dropdown with both Together AI and Anthropic models
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together_models = [
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else:
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return f"Error: Unknown provider for model {model}"
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def extract_code_blocks(text):
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"""Extract code blocks from the model's response"""
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# Pattern to match code blocks with ```apex or ```java or just ```
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pattern = r"```(?:apex|java)?(.*?)```"
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matches = re.findall(pattern, text, re.DOTALL)
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# Clean up extracted code blocks
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code_blocks = []
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for block in matches:
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# Remove leading/trailing whitespace
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cleaned_block = block.strip()
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if cleaned_block:
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code_blocks.append(cleaned_block)
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# If no code blocks found but text contains code-like content
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if not code_blocks and ("public" in text or "private" in text or "trigger" in text):
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# Try to extract the most code-like part
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lines = text.split('\n')
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potential_code = []
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in_code_section = False
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for line in lines:
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if any(keyword in line for keyword in ["public", "private", "class", "trigger", "@"]):
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in_code_section = True
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if in_code_section:
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potential_code.append(line)
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if potential_code:
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code_blocks.append('\n'.join(potential_code))
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return '\n\n'.join(code_blocks) if code_blocks else ""
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def extract_explanations(text, code_blocks):
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"""Extract explanations from the model's response by removing code blocks"""
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# Replace all code blocks with placeholders
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explanation = text
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for block in code_blocks.split('\n\n'):
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# Escape special regex characters in the block
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escaped_block = re.escape(block)
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explanation = re.sub(escaped_block, "[CODE BLOCK REMOVED]", explanation, flags=re.DOTALL)
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# Remove code block markers
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explanation = re.sub(r"```(?:apex|java)?.*?```", "", explanation, flags=re.DOTALL)
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# Clean up the explanation
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explanation = explanation.replace("[CODE BLOCK REMOVED]", "*Code has been moved to the Code Output section*")
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return explanation.strip()
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def correct_apex_trigger(model, trigger_code):
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if not trigger_code.strip():
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return "Please provide Apex Trigger code to correct.", "", ""
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prompt = f"""
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Please analyze and correct the following Apex Trigger code for migration from CloudCraze to B2B Lightning Experience.
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Identify any issues, optimize it according to best practices, and provide the corrected code.
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{trigger_code}
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```
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Please return the corrected code with explanations of changes. Put the corrected code in ```apex code blocks.
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"""
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response = call_llm(model, prompt)
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# Extract code blocks and explanations
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code_output = extract_code_blocks(response)
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explanation = extract_explanations(response, code_output)
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return response, code_output, explanation
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def convert_cc_object(model, cc_object_code):
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if not cc_object_code.strip():
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return "Please provide CloudCraze Object code to convert.", "", ""
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prompt = f"""
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Please convert the following CloudCraze Object code to B2B Lightning Experience format.
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Identify the corresponding B2B LEx system object, map fields, and provide the full definition.
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Return:
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1. Equivalent B2B LEx object name
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2. Field mappings
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3. Full implementation code in ```apex code blocks
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4. Additional steps if needed
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"""
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response = call_llm(model, prompt)
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# Extract code blocks and explanations
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code_output = extract_code_blocks(response)
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explanation = extract_explanations(response, code_output)
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return response, code_output, explanation
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def validate_apex_trigger(validation_model, original_code, corrected_code):
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if not validation_model or not original_code.strip() or not corrected_code.strip():
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return fig
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def toggle_dark_mode(dark_mode, elements):
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"""Toggle between light and dark mode for interface elements"""
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if dark_mode:
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style = "background-color: #2e2e2e; color: #ffffff;"
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code_style = "background-color: #1e1e1e; color: #e0e0e0; font-family: 'Courier New', monospace;"
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else:
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style = "background-color: #ffffff; color: #333333;"
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code_style = "background-color: #f5f5f5; color: #333333; font-family: 'Courier New', monospace;"
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return [style for _ in range(len(elements) // 2)] + [code_style for _ in range(len(elements) // 2)]
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def main():
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with gr.Blocks(title="Salesforce B2B Commerce Migration Assistant", theme=gr.themes.Soft(primary_hue="blue")) as app:
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# Initialize dark mode state
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dark_mode = gr.State(False)
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gr.Markdown("# Salesforce B2B Commerce Migration Assistant")
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gr.Markdown("This tool helps migrate CloudCraze code to B2B Lightning Experience.")
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placeholder="Paste Apex Trigger code here...",
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label="Apex Trigger Code"
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)
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with gr.Row():
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trigger_button = gr.Button("Correct Apex Trigger", variant="primary")
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copy_code_button = gr.Button("Copy Code", variant="secondary")
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with gr.Accordion("Full Model Response (Hidden by Default)", open=False):
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trigger_full_response = gr.Textbox(
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lines=15,
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label="Full Model Response",
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interactive=False
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)
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with gr.Row():
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with gr.Column():
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trigger_explanation = gr.Textbox(
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lines=10,
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label="Explanation",
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placeholder="Explanation will appear here after correction",
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interactive=False,
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elem_id="trigger_explanation"
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)
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with gr.Column():
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trigger_code_output = gr.Code(
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language="java",
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label="Corrected Code",
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value="// Corrected code will appear here",
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elem_id="trigger_code_output"
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)
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gr.Markdown("### Validation Results")
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with gr.Row():
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chart = create_radar_chart(metrics) if metrics else None
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return validation_text, chart
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# Handle button clicks
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trigger_button.click(
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fn=correct_apex_trigger,
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inputs=[primary_model_dropdown, trigger_input],
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outputs=[trigger_full_response, trigger_code_output, trigger_explanation],
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show_progress=True
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)
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validate_trigger_button.click(
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fn=validate_and_chart_trigger,
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inputs=[validation_model_dropdown, trigger_input, trigger_code_output],
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outputs=[trigger_validation_output, trigger_chart],
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show_progress=True
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)
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# Copy code button functionality
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def trigger_copy_to_clipboard():
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# This function doesn't need to return anything - the copy happens in the frontend
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return None
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copy_code_button.click(
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fn=trigger_copy_to_clipboard,
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inputs=[],
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outputs=[],
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_js="""() => {
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const codeElem = document.getElementById('trigger_code_output');
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if (codeElem) {
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navigator.clipboard.writeText(codeElem.textContent);
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return [];
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}
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}"""
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)
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with gr.Row():
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trigger_clear = gr.Button("Clear Input")
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trigger_clear.click(lambda: "", [], trigger_input)
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results_clear = gr.Button("Clear Results")
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results_clear.click(
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lambda: ["", "", "", "", None],
|
| 495 |
[],
|
| 496 |
+
[trigger_full_response, trigger_code_output, trigger_explanation, trigger_validation_output, trigger_chart]
|
| 497 |
)
|
| 498 |
|
| 499 |
with gr.Tab("CloudCraze Object Conversion"):
|
|
|
|
| 505 |
placeholder="Paste CC object code here...",
|
| 506 |
label="CloudCraze Object Code"
|
| 507 |
)
|
| 508 |
+
|
| 509 |
+
with gr.Row():
|
| 510 |
+
object_button = gr.Button("Convert Object", variant="primary")
|
| 511 |
+
object_copy_code_button = gr.Button("Copy Code", variant="secondary")
|
| 512 |
+
|
| 513 |
+
with gr.Accordion("Full Model Response (Hidden by Default)", open=False):
|
| 514 |
+
object_full_response = gr.Textbox(
|
| 515 |
+
lines=15,
|
| 516 |
+
label="Full Model Response",
|
| 517 |
+
interactive=False
|
| 518 |
+
)
|
| 519 |
+
|
| 520 |
+
with gr.Row():
|
| 521 |
+
with gr.Column():
|
| 522 |
+
object_explanation = gr.Textbox(
|
| 523 |
+
lines=10,
|
| 524 |
+
label="Explanation",
|
| 525 |
+
placeholder="Explanation will appear here after conversion",
|
| 526 |
+
interactive=False,
|
| 527 |
+
elem_id="object_explanation"
|
| 528 |
+
)
|
| 529 |
+
|
| 530 |
+
with gr.Column():
|
| 531 |
+
object_code_output = gr.Code(
|
| 532 |
+
language="java",
|
| 533 |
+
label="Converted Code",
|
| 534 |
+
value="// Converted code will appear here",
|
| 535 |
+
elem_id="object_code_output"
|
| 536 |
+
)
|
| 537 |
|
| 538 |
gr.Markdown("### Validation Results")
|
| 539 |
with gr.Row():
|
|
|
|
| 555 |
chart = create_radar_chart(metrics) if metrics else None
|
| 556 |
return validation_text, chart
|
| 557 |
|
| 558 |
+
# Handle button clicks
|
| 559 |
+
object_button.click(
|
| 560 |
+
fn=convert_cc_object,
|
| 561 |
+
inputs=[primary_model_dropdown, object_input],
|
| 562 |
+
outputs=[object_full_response, object_code_output, object_explanation],
|
| 563 |
+
show_progress=True
|
| 564 |
+
)
|
| 565 |
+
|
| 566 |
validate_object_button.click(
|
| 567 |
fn=validate_and_chart_object,
|
| 568 |
+
inputs=[validation_model_dropdown, object_input, object_code_output],
|
| 569 |
outputs=[object_validation_output, object_chart],
|
| 570 |
show_progress=True
|
| 571 |
)
|
| 572 |
|
| 573 |
+
# Copy code button functionality
|
| 574 |
+
def object_copy_to_clipboard():
|
| 575 |
+
# This function doesn't need to return anything - the copy happens in the frontend
|
| 576 |
+
return None
|
| 577 |
+
|
| 578 |
+
object_copy_code_button.click(
|
| 579 |
+
fn=object_copy_to_clipboard,
|
| 580 |
+
inputs=[],
|
| 581 |
+
outputs=[],
|
| 582 |
+
_js="""() => {
|
| 583 |
+
const codeElem = document.getElementById('object_code_output');
|
| 584 |
+
if (codeElem) {
|
| 585 |
+
navigator.clipboard.writeText(codeElem.textContent);
|
| 586 |
+
return [];
|
| 587 |
+
}
|
| 588 |
+
}"""
|
| 589 |
+
)
|
| 590 |
+
|
| 591 |
with gr.Row():
|
| 592 |
object_clear = gr.Button("Clear Input")
|
| 593 |
object_clear.click(lambda: "", [], object_input)
|
| 594 |
|
| 595 |
object_results_clear = gr.Button("Clear Results")
|
| 596 |
object_results_clear.click(
|
| 597 |
+
lambda: ["", "", "", "", None],
|
| 598 |
[],
|
| 599 |
+
[object_full_response, object_code_output, object_explanation, object_validation_output, object_chart]
|
| 600 |
)
|
| 601 |
|
| 602 |
+
# UI Preferences
|
| 603 |
+
with gr.Accordion("UI Preferences", open=False):
|
| 604 |
+
dark_mode_toggle = gr.Checkbox(label="Dark Mode", value=False)
|
| 605 |
+
|
| 606 |
+
# Create a list of UI elements to update
|
| 607 |
+
ui_elements = [
|
| 608 |
+
trigger_explanation, trigger_code_output,
|
| 609 |
+
object_explanation, object_code_output
|
| 610 |
+
]
|
| 611 |
+
|
| 612 |
+
dark_mode_toggle.change(
|
| 613 |
+
fn=toggle_dark_mode,
|
| 614 |
+
inputs=[dark_mode_toggle, gr.State(ui_elements)],
|
| 615 |
+
outputs=ui_elements
|
| 616 |
+
)
|
| 617 |
+
|
| 618 |
gr.Markdown("### About This Tool")
|
| 619 |
gr.Markdown(
|
| 620 |
"""
|
|
|
|
| 624 |
**Object Conversion**: Maps and converts CloudCraze object definitions to B2B LEx.
|
| 625 |
**Model Selection**: Choose from Together AI models or Anthropic's Claude models.
|
| 626 |
|
| 627 |
+
**New Interface Features**:
|
| 628 |
+
- Separated code output in dedicated code editor interface with syntax highlighting
|
| 629 |
+
- Clear separation between explanations and code
|
| 630 |
+
- "Copy Code" button for easy copying
|
| 631 |
+
- Dark mode option for comfortable viewing
|
| 632 |
+
- Hidden full model response to reduce clutter
|
| 633 |
+
|
| 634 |
+
**Validation** outputs four key metrics (quality, accuracy, completeness, best practices) as both JSON and a radar chart.
|
| 635 |
Always review AI-generated code before production use.
|
| 636 |
"""
|
| 637 |
)
|