Spaces:
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Update app.py
#2
by
sairamtelagamsetti
- opened
app.py
CHANGED
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@@ -149,82 +149,84 @@ def extract_attributes(extracted_text):
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def filter_valid_attributes(attributes, valid_fields):
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return {ATTRIBUTE_MAPPING[key]: value for key, value in attributes.items() if ATTRIBUTE_MAPPING[key] in valid_fields}
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def interact_with_salesforce(mode, entry_type, quantity, extracted_text):
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# Convert extracted keys to match Salesforce API field names
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mapped_attributes = {}
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for key, value in attributes.items():
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field_name_sf = key.replace(" ", "_") + "__c" # Convert to Salesforce format
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if field_name_sf in valid_fields:
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mapped_attributes[field_name_sf] = value # Only keep valid fields
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mapped_attributes[field_name] = quantity # Ensure Quantity is added
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if not mapped_attributes:
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return "No valid attributes found to export."
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# Creating a new record with only valid attributes
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sf_object.create(mapped_attributes)
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return f"β
Record created in {object_name} with extracted valid attributes and Quantity: {quantity}."
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elif mode == "Exit":
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if entry_type == "Sales":
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object_name = "Inventory_Management__c"
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field_name = "Quantity_Sold__c"
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elif entry_type == "Non-Sales":
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object_name = "Un_Billable__c"
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field_name = "Sold_Out__c"
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# Extract product name
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product_name = match_product_name(extracted_text)
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if not product_name:
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return "Product name could not be matched from the extracted text."
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query = f"SELECT Id, {field_name} FROM {object_name} WHERE Product_Name__c = '{product_name}' LIMIT 1"
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response = sf.query(query)
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if response["records"]:
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record_id = response["records"][0]["Id"]
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updated_quantity = quantity
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sf.__getattr__(object_name).update(record_id, {field_name: updated_quantity})
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return f"β
Updated record for product '{product_name}' in {object_name}. New {field_name}: {updated_quantity}."
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else:
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return f"β No matching record found for product '{product_name}' in {object_name}."
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except Exception as e:
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return f"β Error interacting with Salesforce: {str(e)}"
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# Function to pull structured data from Salesforce and display as a table
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def pull_data_from_salesforce():
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try:
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def filter_valid_attributes(attributes, valid_fields):
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return {ATTRIBUTE_MAPPING[key]: value for key, value in attributes.items() if ATTRIBUTE_MAPPING[key] in valid_fields}
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# Function to interact with Salesforce based on mode and type
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def interact_with_salesforce(mode, entry_type, quantity, extracted_text):
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try:
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sf = Salesforce(
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username=SALESFORCE_USERNAME,
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password=SALESFORCE_PASSWORD,
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security_token=SALESFORCE_SECURITY_TOKEN
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)
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# Mapping mode and entry_type to Salesforce object and field
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object_name = None
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field_name = None
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product_name_field = "Productname__c"
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if mode == "Entry":
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if entry_type == "Sales":
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object_name = "VENKATA_RAMANA_MOTORS__c"
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field_name = "Quantity__c"
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elif entry_type == "Non-Sales":
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object_name = "UNBILLING_DATA__c"
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field_name = "TotalQuantity__c"
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# Get valid fields from Salesforce object schema
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sf_object = sf.__getattr__(object_name)
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schema = sf_object.describe()
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valid_fields = {field["name"] for field in schema["fields"]}
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# Extract attributes from the extracted text
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attributes = extract_attributes(extracted_text)
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# Extract product name explicitly
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product_name = match_product_name(extracted_text)
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if product_name and product_name_field in valid_fields:
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attributes[product_name_field] = product_name
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# Convert extracted keys to match Salesforce API field names
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mapped_attributes = {}
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for key, value in attributes.items():
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field_name_sf = key.replace(" ", "_") + "__c" # Convert to Salesforce format
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if field_name_sf in valid_fields:
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mapped_attributes[field_name_sf] = value # Only keep valid fields
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mapped_attributes[field_name] = quantity # Ensure Quantity is added
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if not mapped_attributes:
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return "No valid attributes found to export."
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# Creating a new record with only valid attributes
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sf_object.create(mapped_attributes)
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return f"β
Record created in {object_name} with extracted valid attributes and Quantity: {quantity}."
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elif mode == "Exit":
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if entry_type == "Sales":
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object_name = "Inventory_Management__c"
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field_name = "Quantity_Sold__c"
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elif entry_type == "Non-Sales":
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object_name = "Un_Billable__c"
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field_name = "Sold_Out__c"
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# Extract product name
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product_name = match_product_name(extracted_text)
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if not product_name:
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return "Product name could not be matched from the extracted text."
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query = f"SELECT Id, {field_name} FROM {object_name} WHERE Product_Name__c = '{product_name}' LIMIT 1"
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response = sf.query(query)
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if response["records"]:
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record_id = response["records"][0]["Id"]
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updated_quantity = quantity
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sf.__getattr__(object_name).update(record_id, {field_name: updated_quantity})
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return f"β
Updated record for product '{product_name}' in {object_name}. New {field_name}: {updated_quantity}."
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else:
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return f"β No matching record found for product '{product_name}' in {object_name}."
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except Exception as e:
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return f"β Error interacting with Salesforce: {str(e)}"
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# Function to pull structured data from Salesforce and display as a table
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def pull_data_from_salesforce():
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try:
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