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Update app.py
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app.py
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@@ -10,7 +10,6 @@ import json
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import os
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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@@ -88,42 +87,56 @@ def create_and_upload_pdf(dpr_content):
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# Function to generate the daily progress report (DPR) text
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def generate_dpr(files):
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#
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# Process each uploaded file (image)
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for file in files:
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# Open the image from file path
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image = Image.open(file.name) # Using file.name for filepath
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if image.mode != "RGB":
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image = image.convert("RGB")
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#
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caption = generate_captions_from_image(image)
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# Generate
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dpr_section = f"\nImage: {file.name}\nDescription: {caption}\n"
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dpr_text.append(dpr_section)
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# Join the DPR sections
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dpr_content = "\n".join(dpr_text)
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# Create and upload the PDF for this report
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pdf_url = create_and_upload_pdf(dpr_content)
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# Create
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new_report_data = {
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"
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"Detected_Activities__c": dpr_content, # Set the activities field to the generated text
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"Photo_Uploads__c": ", ".join([file.name for file in files]), # Upload
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"PDF_URL__c": pdf_url # Set the PDF URL field with the generated PDF link
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}
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# Insert new
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new_report = sf.Daily_Progress_Reports__c.create(new_report_data)
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return f"New report created in Salesforce with PDF URL: {pdf_url}"
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@@ -139,5 +152,3 @@ iface = gr.Interface(
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iface.launch()
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import os
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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# Function to generate the daily progress report (DPR) text
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def generate_dpr(files):
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# Query the latest Daily Progress Report records to get the highest number
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last_report = sf.query("SELECT Daily_Progress_Reports_Name__c FROM Daily_Progress_Reports__c ORDER BY CreatedDate DESC LIMIT 1")
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# Generate the new report name
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if last_report['totalSize'] > 0:
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last_name = last_report['records'][0]['Daily_Progress_Reports_Name__c']
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# Extract the number from the last report name, assuming format "Daily Progress Report X"
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report_number = int(last_name.split()[-1]) + 1 # Increment the number
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else:
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# If no records exist, start with "1"
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report_number = 1
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# Generate the new report name dynamically
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new_report_name = f"Daily Progress Report {report_number}"
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# Prepare the current time and start the DPR text
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current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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dpr_text = [f"Daily Progress Report\nGenerated on: {current_time}\n"]
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# Process each uploaded file (image)
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for file in files:
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# Open the image from the file path
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image = Image.open(file.name) # Using file.name for filepath
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if image.mode != "RGB":
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image = image.convert("RGB")
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# Generate a caption for the image
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caption = generate_captions_from_image(image)
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# Generate a section of the DPR for this image
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dpr_section = f"\nImage: {file.name}\nDescription: {caption}\n"
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dpr_text.append(dpr_section)
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# Join the DPR sections into one complete string
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dpr_content = "\n".join(dpr_text)
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# Create and upload the PDF for this report to Salesforce
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pdf_url = create_and_upload_pdf(dpr_content)
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# Create the new Daily Progress Report record in Salesforce
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new_report_data = {
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"Daily_Progress_Reports_Name__c": new_report_name, # Set the dynamic name
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"Report_Date__c": current_time, # Set the report date to the current time
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"Detected_Activities__c": dpr_content, # Set the activities field to the generated text
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"Photo_Uploads__c": ", ".join([file.name for file in files]), # Upload the image names as Photo Uploads
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"PDF_URL__c": pdf_url # Set the PDF URL field with the generated PDF link
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}
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# Insert the new report into Salesforce
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new_report = sf.Daily_Progress_Reports__c.create(new_report_data)
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return f"New report created in Salesforce with PDF URL: {pdf_url}"
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)
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iface.launch()
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