Delete utils.py

utils.py

@@ -1,71 +0,0 @@
-from simple_salesforce import Salesforce
-from reportlab.lib.pagesizes import letter
-from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Paragraph
-from reportlab.lib import colors
-from reportlab.lib.styles import getSampleStyleSheet
-import pandas as pd
-from datetime import datetime
-import time
-
-def fetch_salesforce_data(sf: Salesforce, query: str, retries=3) -> list:
-    """Fetch data from Salesforce using SOQL query with retry logic."""
-    for attempt in range(retries):
-        try:
-            result = sf.query_all(query)
-            return result["records"]
-        except Exception as e:
-            if attempt == retries - 1:
-                print(f"Error fetching Salesforce data after {retries} attempts: {e}")
-                return []
-            time.sleep(2)  # Wait before retrying
-    return []
-
-def detect_anomalies(log_text: str, anomaly_detector) -> str:
-    """Detect anomalies in log text using Hugging Face model."""
-    try:
-        result = anomaly_detector(log_text, clean_up_tokenization_spaces=True)
-        return result[0]["label"]  # Returns 'POSITIVE' for anomaly, 'NEGATIVE' for normal
-    except Exception as e:
-        print(f"Error detecting anomaly: {e}")
-        return "NEGATIVE"
-
-def generate_pdf_report(df: pd.DataFrame, lab_site: str, equipment_type: str, date_range: list) -> str:
-    """Generate a PDF report from dashboard data."""
-    pdf_file = "LabOps_Report.pdf"
-    doc = SimpleDocTemplate(pdf_file, pagesize=letter)
-    elements = []
-    styles = getSampleStyleSheet()
-    
-    # Title
-    elements.append(Paragraph(f"LabOps Dashboard Report - {datetime.now().strftime('%Y-%m-%d')}", styles["Title"]))
-    
-    # Filters
-    elements.append(Paragraph(f"Lab: {lab_site} | Equipment: {equipment_type} | Date Range: {date_range[0]} to {date_range[1]}", styles["Normal"]))
-    
-    # Data Table
-    data = [["Equipment", "Timestamp", "Status", "Usage Count", "Anomaly"]]
-    for _, row in df.iterrows():
-        timestamp = row["Log_Timestamp__c"].strftime('%Y-%m-%d %H:%M:%S') if pd.notnull(row["Log_Timestamp__c"]) else "N/A"
-        data.append([
-            row["Equipment__c"],
-            timestamp,
-            row["Status__c"],
-            str(row["Usage_Count__c"]),
-            row["Anomaly"]
-        ])
-    
-    table = Table(data)
-    table.setStyle(TableStyle([
-        ("BACKGROUND", (0, 0), (-1, 0), colors.grey),
-        ("TEXTCOLOR", (0, 0), (-1, 0), colors.whitesmoke),
-        ("ALIGN", (0, 0), (-1, -1), "CENTER"),
-        ("FONTNAME", (0, 0), (-1, 0), "Helvetica-Bold"),
-        ("FONTSIZE", (0, 0), (-1, 0), 14),
-        ("BOTTOMPADDING", (0, 0), (-1, 0), 12),
-        ("BACKGROUND", (0, 1), (-1, -1), colors.beige),
-        ("GRID", (0, 0), (-1, -1), 1, colors.black)
-    ]))
-    elements.append(table)
-    
-    doc.build(elements)
-    return pdf_file